[med-svn] [gwamar] 01/02: Imported Upstream version 1.14+dfsg

[Andreas Tille]

This is an automated email from the git hooks/post-receive script.

tille pushed a commit to branch master
in repository gwamar.

commit d0e35c7f238d35bb252db25b64d7061004aa0977
Author: Andreas Tille <tille at debian.org>
Date:   Sat Nov 21 13:01:27 2015 +0100

    Imported Upstream version 1.14+dfsg
---
 config/config_params.txt                           |     91 +
 datasets/mtu173/gold/broad_genes.txt               |     26 +
 datasets/mtu173/gold/gold_assocs_A.txt             |    821 +
 datasets/mtu173/gold/gold_assocs_A_old.txt         |   1230 +
 datasets/mtu173/gold/gold_assocs_H.txt             |    144 +
 datasets/mtu173/gold/gold_assocs_H_old.txt         |    184 +
 datasets/mtu173/input/cluster_gene_ref_ids.txt     |   4016 +
 datasets/mtu173/input/gene_profiles.txt            |   7569 ++
 datasets/mtu173/input/point_mutations.txt          | 123171 ++++++++++++++++++
 datasets/mtu173/input/res_profiles.txt             |      8 +
 datasets/mtu173/input/res_profiles_cmp.txt         |     10 +
 datasets/mtu173/input/strains_ordered.txt          |    173 +
 datasets/mtu173/input/tree.txt                     |      1 +
 datasets/mtu173/input/treePHYLIP.txt               |      1 +
 datasets/mtu173/input/treePHYML.txt                |      1 +
 datasets/mtu173/input/treeRAXML.txt                |      1 +
 datasets/mtu173/input/tree_bin.txt                 |      5 +
 datasets/mtu_broad/gold/broad_genes.txt            |     26 +
 datasets/mtu_broad/gold/gold_assocs_A.txt          |    821 +
 datasets/mtu_broad/gold/gold_assocs_H.txt          |    115 +
 datasets/mtu_broad/input/cluster_gene_ref_ids.txt  |   4016 +
 datasets/mtu_broad/input/point_mutations.txt       |   1094 +
 datasets/mtu_broad/input/res_profiles.txt          |      9 +
 datasets/mtu_broad/input/res_profiles_cmp.txt      |     10 +
 datasets/mtu_broad/input/strains_ordered.txt       |   1398 +
 datasets/mtu_broad/input/tree.txt                  |      1 +
 datasets/mtu_broad/input/treeOLD_bin.txt           |     10 +
 datasets/mtu_broad/input/treePHYLIP.txt            |      1 +
 datasets/mtu_broad/input/treePHYML.txt             |      1 +
 datasets/mtu_broad/input/treePHYML_bin.txt         |      3 +
 datasets/mtu_broad/input/tree_bin.txt              |      3 +
 datasets/sau461/gold/drug_res_G_A.txt              |     47 +
 datasets/sau461/gold/drug_res_G_G_A.txt            |     16 +
 datasets/sau461/gold/drug_res_G_H.txt              |     48 +
 datasets/sau461/gold/drug_res_det_G.txt            |     13 +
 datasets/sau461/gold/drug_res_det_P.txt            |      4 +
 datasets/sau461/gold/drug_res_genes.txt            |     70 +
 datasets/sau461/gold/drug_res_rel_G.txt            |     13 +
 datasets/sau461/gold/drug_res_rel_P.txt            |      4 +
 datasets/sau461/gold/gold_assocs_A.txt             |     48 +
 datasets/sau461/gold/gold_assocs_H.txt             |     48 +
 datasets/sau461/input/cluster_gene_ref_ids.txt     |   3188 +
 datasets/sau461/input/drug_targets.txt             |     73 +
 datasets/sau461/input/gene_profiles.txt            |  13318 ++
 datasets/sau461/input/point_mutations.txt          |  99988 ++++++++++++++
 datasets/sau461/input/res-data.txt                 |     54 +
 datasets/sau461/input/res_profiles.txt             |     12 +
 datasets/sau461/input/res_profiles_cmp.txt         |      4 +
 datasets/sau461/input/res_profiles_genes.txt       |      4 +
 datasets/sau461/input/res_profiles_ret.txt         |     13 +
 datasets/sau461/input/res_profiles_ret_after.txt   |     11 +
 datasets/sau461/input/res_profiles_ret_genes.txt   |     11 +
 datasets/sau461/input/strains.txt                  |    462 +
 datasets/sau461/input/strains_ordered.txt          |    461 +
 datasets/sau461/input/tree.txt                     |      1 +
 gwamar.py                                          |    359 +
 other/cctsweep/bm.sh                               |    104 +
 other/cctsweep/cct.sh                              |    114 +
 other/cctsweep/init.sh                             |     29 +
 other/cctsweep/wm.sh                               |     63 +
 other/comp_data/Elementy eksportowane.bib          |     99 +
 other/comp_data/Rifampicin/mtu173.txt              |     42 +
 other/comp_data/Rifampicin/mtu_broad.txt           |     71 +
 other/comp_data/Rifampicin/rels_mtu173.tet         |     40 +
 other/comp_data/Rifampicin/rels_mtu_broad.tet      |     70 +
 other/comp_data/Rifampicin/tab_mtu173.pdf          |    Bin 0 -> 34571 bytes
 other/comp_data/Rifampicin/tab_mtu_broad.pdf       |    Bin 0 -> 35050 bytes
 other/comp_data/Rifampicin/tmp_tab_mtu173.aux      |      1 +
 other/comp_data/Rifampicin/tmp_tab_mtu173.log      |    480 +
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 other/comp_data/Rifampicin/tmp_tab_mtu173.tex      |     60 +
 other/comp_data/Rifampicin/tmp_tab_mtu_broad.aux   |      1 +
 other/comp_data/Rifampicin/tmp_tab_mtu_broad.log   |    480 +
 other/comp_data/Rifampicin/tmp_tab_mtu_broad.pdf   |    Bin 0 -> 34516 bytes
 other/comp_data/Rifampicin/tmp_tab_mtu_broad.tex   |     89 +
 other/comp_data/aln_rpoA.txt                       |     23 +
 other/comp_data/aln_rpoB.txt                       |    107 +
 other/comp_data/aln_rpoC.txt                       |    127 +
 other/comp_data/comp_data.txt                      |    234 +
 other/comp_data/comp_data_sal.txt                  |     59 +
 other/comp_data/comp_rpoB.pdf                      |    Bin 0 -> 21920 bytes
 other/comp_data/comp_rpoB.tex                      |    341 +
 other/comp_data/comp_rpoB_figure.aux               |      1 +
 other/comp_data/comp_rpoB_figure.log               |    456 +
 other/comp_data/comp_rpoB_figure.pdf               |    Bin 0 -> 26758 bytes
 other/comp_data/comp_rpoB_figure.tex               |    323 +
 other/comp_data/comp_rpoB_rels.pdf                 |    Bin 0 -> 17580 bytes
 other/comp_data/comp_rpoB_rels.tex                 |    201 +
 other/comp_data/comp_rpoB_table.aux                |      1 +
 other/comp_data/comp_rpoB_table.log                |    455 +
 other/comp_data/comp_rpoB_table.pdf                |    Bin 0 -> 38495 bytes
 other/comp_data/comp_rpoB_table2.pdf               |    Bin 0 -> 36750 bytes
 other/comp_data/f3.pdf                             |    Bin 0 -> 25981 bytes
 other/comp_data/mtu173.txt                         |     71 +
 other/comp_data/mtu_broad.txt                      |    137 +
 other/comp_data/tmp_comp_rpoB_figure.aux           |      1 +
 other/comp_data/tmp_comp_rpoB_figure.log           |    452 +
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 other/comp_data/tmp_comp_rpoB_figure.tex           |    352 +
 other/comp_data/tmp_comp_rpoB_table.aux            |      1 +
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 other/comp_data/tmp_comp_rpoB_table.tex            |    171 +
 other/comp_data/tmp_comp_rpoB_table2.aux           |      1 +
 other/comp_data/tmp_comp_rpoB_table2.log           |    481 +
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 other/comp_data/tmp_comp_rpoB_table2.tex           |     54 +
 other/geo_data/mtu/geo-data.txt                    |    173 +
 other/geo_data/mtu/geo-tree-t1.dot                 |   1362 +
 other/geo_data/mtu/geo-tree-t1.pdf                 |    Bin 0 -> 61790 bytes
 other/geo_data/mtu/geo-tree-t2.dot                 |   1194 +
 other/geo_data/mtu/geo-tree-t2.pdf                 |    Bin 0 -> 57814 bytes
 other/geo_data/mtu/strains_ordered.txt             |    461 +
 other/geo_data/mtu/t1.txt                          |      1 +
 other/geo_data/mtu/t2.txt                          |      2 +
 other/geo_data/sau/sau.txt                         |    461 +
 other/geo_data/spn/spn.txt                         |      0
 other/inputmtu/cluster_gene_ref_ids.txt            |   4016 +
 other/inputmtu/ref_annotation.txt                  |   5127 +
 other/res_data/data-res-mtu.pdf                    |    Bin 0 -> 122866 bytes
 other/res_data/data-res-sau.pdf                    |    Bin 0 -> 191036 bytes
 other/res_data/data-res-spn.pdf                    |    Bin 0 -> 102832 bytes
 other/res_data/mtu/data-res.aux                    |   1083 +
 other/res_data/mtu/data-res.bbl                    |    197 +
 other/res_data/mtu/data-res.blg                    |      9 +
 other/res_data/mtu/data-res.log                    |    341 +
 other/res_data/mtu/data-res.pdf                    |    Bin 0 -> 122866 bytes
 other/res_data/mtu/data-res.synctex.gz             |    Bin 0 -> 141837 bytes
 other/res_data/mtu/data-res.tex                    |    175 +
 other/res_data/mtu/geo-tree-t1.dot                 |      0
 other/res_data/mtu/references.bib                  |    384 +
 other/res_data/mtu/res-data.txt                    |   1106 +
 other/res_data/mtu/res_profiles_ret.txt            |     10 +
 other/res_data/sau/Elementy eksportowane.bib       |     15 +
 other/res_data/sau/Elementy eksportowane2.bib      |   1447 +
 other/res_data/sau/data-res.aux                    |    851 +
 other/res_data/sau/data-res.bbl                    |    738 +
 other/res_data/sau/data-res.blg                    |      6 +
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 other/res_data/sau/data-res.tex                    |    137 +
 other/res_data/sau/references.bib                  |   1482 +
 other/res_data/sau/res-data.txt                    |    960 +
 other/res_data/sau/res_profiles_ret.txt            |      8 +
 other/res_data/spn/Elementy eksportowane.bib       |     16 +
 other/res_data/spn/data-res.aux                    |    227 +
 other/res_data/spn/data-res.bbl                    |     81 +
 other/res_data/spn/data-res.blg                    |      3 +
 other/res_data/spn/data-res.log                    |    318 +
 other/res_data/spn/data-res.synctex.gz             |    Bin 0 -> 59585 bytes
 other/res_data/spn/data-res.tex                    |     75 +
 other/res_data/spn/portable.xls                    |    Bin 0 -> 10044416 bytes
 other/res_data/spn/portable2.xls                   |    Bin 0 -> 6692352 bytes
 other/res_data/spn/references.bib                  |    174 +
 other/res_data/spn/res-data.txt                    |    250 +
 other/res_data/spn/res.txt                         |      5 +
 other/res_data/spn/res_profiles_ret.txt            |      4 +
 other/res_data/spn/strains.txt                     |    292 +
 other/tbdr/db_cmp.txt                              |   1243 +
 other/tbdr/strain_profiles_ord.txt                 |   1398 +
 other/tbdr/tbdr_all.txt                            |   1630 +
 other/tbdr/tbdr_genes_all.txt                      |      9 +
 other/tbdr/tbdr_genes_high.txt                     |      6 +
 other/tbdr/tbdr_high.txt                           |   2266 +
 other/tbdr/tbdr_muts_all.txt                       |   1228 +
 other/tbdr/tbdr_muts_high.txt                      |    143 +
 other/tbdr/tbdr_proc_all.txt                       |   1629 +
 other/tbdr/tbdr_proc_high.txt                      |    141 +
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 other/visR/backup/__init__.py                      |      0
 other/visR/backup/chimp.png                        |    Bin 0 -> 2243 bytes
 other/visR/backup/colored-predictions.py           |    198 +
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 other/visR/backup/ete_test.py                      |    140 +
 other/visR/backup/fish.png                         |    Bin 0 -> 2243 bytes
 other/visR/backup/fly.png                          |    Bin 0 -> 2243 bytes
 .../backup/generate-excel-tables-scored-genes.py   |    232 +
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 other/visR/backup/out.pdf                          |    Bin 0 -> 14327 bytes
 other/visR/backup/save-tree-mutations_old.py       |    433 +
 other/visR/backup/score-subset-mutations.py        |    518 +
 other/visR/backup/show-dates.py                    |    261 +
 other/visR/backup/show-mutations.py                |    259 +
 other/visR/backup/show-tree-mutations.py           |    209 +
 other/visR/backup/show-tree-mutations_new.py       |    206 +
 other/visR/backup/test.svg                         |   2666 +
 other/visR/backup/where-located.py                 |     96 +
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 src/drsoft/__init__.py                             |      0
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 src/drsoft/analysis/a1_save_details_scores_all.py  |    183 +
 src/drsoft/analysis/a2_save_details_scores_sel.py  |    206 +
 src/drsoft/analysis/a3_save_associations_all.py    |    278 +
 src/drsoft/analysis/a4_save_associations_sel.py    |    294 +
 src/drsoft/comparison/__init__.py                  |      0
 src/drsoft/comparison/cmp0_save_associations.py    |    334 +
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 src/drsoft/comparison/show0_gold_associations.py   |    160 +
 .../compensatory/show0_save_putative_muts.py       |    100 +
 src/drsoft/compensatory/show1_latex_rpoB_figure.py |    193 +
 src/drsoft/compensatory/show2_latex_rpoB_table.py  |    156 +
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 src/drsoft/compensatory/show3_latex_rpoB_table2.py |    164 +
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 src/drsoft/format_input/__init__.py                |      0
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 src/prebroad/tree/t0_save_point_mutations_nt.py    |    144 +
 src/prebroad/tree/t1_prepare_alignments.py         |    164 +
 src/prebroad/tree/t2_compute_subset_tree.py        |    221 +
 src/prebroad/tree/t3_resolve_clusters.py           |     72 +
 src/prebroad/tree/t4_save_strains_ordered.py       |     52 +
 src/visR/accuracy/auc_barplots.R                   |    175 +
 src/visR/accuracy/auc_vioplots.R                   |    314 +
 src/visR/accuracy/pr_bars.R                        |    115 +
 src/visR/accuracy/pr_curves.R                      |    149 +
 src/visR/accuracy/roc_curves.R                     |    115 +
 src/visR/accuracy/viotest.R                        |      8 +
 355 files changed, 328913 insertions(+)

diff --git a/config/config_params.txt b/config/config_params.txt
new file mode 100644
index 0000000..9701b2f
--- /dev/null
+++ b/config/config_params.txt
@@ -0,0 +1,91 @@
+D:mtu173                  #
+#D:mtu_broad               #sau461# # sau461#mtutest2##mtu_broad###      # dataset name
+#D:mtutest
+W:1                       # number of workers
+REPS:100                  # number of samples for p-value calculations
+SCORES:mi,or,lh,ws,r-tgh  #_yRAXML#ws_yPHYML,ws,ws_yRAXML,or,mi,lh,r-tgh#      # scores to compute
+OW:W
+SP:Y
+STATS:auc
+SCORE_SORT:r-tgh
+
+A:A                     # PB - preprocessing of Broad data
+                        # P - prepare intermediate files
+                        # S - compute scores
+                        # SP - scores pvalues
+                        # PV - permutation test for p-value
+                        # A - analysis - lists of scored associations
+
+INDEL:10                # preprocessing parameter
+MT:P                    # experiment type: P: point mutations / G - gene gain/loss
+EP:ex                   # experiment prefix
+ED:EP:MT                # experiment folder
+
+
+RAND:10             # number of repetitions for score comparision
+NEG:1000            # number of negatives selected randomly
+TOP:50              # number of top associations taked into account  
+OW:N                # overwrite / not overwrite
+SUBSETS:s3          # methods of score comparison
+
+A_OUTPUT_TYPE:txt
+
+TREE_ID:
+CMP_PROFILES:Fluoroquinolones,Streptomycin,Isoniazid,Ethambutol,Rifampicin,Pyrazinamide           # drug resistance profiles used for comparison
+PHYLIP_PATH:/home/misias/phylip/exe/
+PHYLIP_EXE:PHYLIP_PATH:/dnamlk
+PHYML_PATH:/home/misias/phyml/
+PHYML_EXE:PHYML_PATH:/phyml
+RAXML_PATH:/home/misias/raxml/
+RAXML_EXE:RAXML_PATH:/raxml
+RAXML_REP:11
+RAXML_TYPE:MR
+TREE_SOFT:phyml
+
+PREBROAD_SUB:all
+PREBROAD_DIR:GWAMAR_PATH:prebroad/
+PREBROAD_DOWNLOAD_DIR:PREBROAD_DIR:download/
+PREBROAD_TREE_DIR:PREBROAD_DIR:tree_:PREBROAD_SUB:/
+PREBROAD_OUTPUT_DIR:PREBROAD_DIR:mtu_broad/
+
+GWAMAR_DATASETS:GWAMAR_PATH:datasets/
+GWAMAR_SRC:GWAMAR_PATH:src/
+DATASET_DIR:GWAMAR_DATASETS:D:/
+
+DATASET_INPUT_DIR:DATASET_DIR:input:/
+DATASET_GOLD_DIR:DATASET_DIR:gold:/
+DATASET_INTER_DIR:DATASET_DIR:intermediate:/
+STATS_DIR:DATASET_DIR:stats:/
+PHYLO_DIR:DATASET_DIR:phylo:/
+LATEX_DIR:DATASET_DIR:latex:/
+RESULTS_DIR:DATASET_DIR:ED:/
+
+COMP_DATA:GWAMAR_PATH:other/comp_data/
+RES_DATA:GWAMAR_PATH:other/res_data/
+GEO_DATA:GWAMAR_PATH:other/geo_data/
+TGH_DIR:DATASET_DIR:tgh:/
+TGH2_DIR:DATASET_DIR:tgh2:/
+
+RESULTS_SCORES_DIR:RESULTS_DIR:scores:/
+RESULTS_GROUPING_DIR:RESULTS_DIR:grouping:/
+RESULTS_RANKS_DIR:RESULTS_DIR:rankings:/
+RESULTS_PERM_DIR:RESULTS_DIR:perm:/
+RESULTS_PERM_PROFILES_DIR:RESULTS_PERM_DIR:profiles:/
+RESULTS_PERM_SCORES_DIR:RESULTS_PERM_DIR:scores:/
+RESULTS_PERM_RANKS_DIR:RESULTS_PERM_DIR:rankings:/
+RESULTS_PERM_COMBS_DIR:RESULTS_PERM_DIR:combs:/
+RESULTS_PERM_PVALUES_DIR:RESULTS_PERM_DIR:pvalues:/
+
+RESULTS_ANALYSIS_DIR:RESULTS_DIR:analysis:/
+RESULTS_A_LATEX_S_DIR:RESULTS_ANALYSIS_DIR:comb_latex:/
+RESULTS_A_LATEX_S_SEL_DIR:RESULTS_ANALYSIS_DIR:comb_sel_latex:/
+RESULTS_A_COMB_S_DIR:RESULTS_ANALYSIS_DIR:top_scoring:/
+RESULTS_A_COMB_S_SEL_DIR:RESULTS_ANALYSIS_DIR:top_scoring_sel:/
+RESULTS_A_COMB_R_DIR:RESULTS_ANALYSIS_DIR:top_ranked:/
+RESULTS_A_COMB_R_SEL_DIR:RESULTS_ANALYSIS_DIR:top_ranked_sel:/
+RESULTS_A_COMP_S_DIR:RESULTS_ANALYSIS_DIR:comp_mutations:/
+
+RESULTS_CMP_DIR:RESULTS_DIR:comparison:/
+RESULTS_CMP_ASSOCS_DIR:RESULTS_CMP_DIR:assocs:/
+RESULTS_CMP_STATS_DIR:RESULTS_CMP_DIR:stats:/
+
diff --git a/datasets/mtu173/gold/broad_genes.txt b/datasets/mtu173/gold/broad_genes.txt
new file mode 100644
index 0000000..8ac491c
--- /dev/null
+++ b/datasets/mtu173/gold/broad_genes.txt
@@ -0,0 +1,26 @@
+Rv0005
+Rv0006
+Rv0341
+Rv0342
+Rv0343
+Rv0667
+Rv0682
+Rv1483
+Rv1484
+Rv1694
+Rv1854c
+Rv1908c
+Rv2043c
+Rv2245
+Rv2427Ac
+Rv2428
+Rv2764c
+Rv2764c
+Rv3423c
+Rv3793
+Rv3794
+Rv3795
+Rv3854c
+Rv3919c
+Rvnr01
+Rvnr02
diff --git a/datasets/mtu173/gold/gold_assocs_A.txt b/datasets/mtu173/gold/gold_assocs_A.txt
new file mode 100644
index 0000000..b55280b
--- /dev/null
+++ b/datasets/mtu173/gold/gold_assocs_A.txt
@@ -0,0 +1,821 @@
+%Rifampicin
+>Rv0667
+65	V	F
+300	A	V
+409	Q	H
+423	E	A
+424	F	S,L
+426	G	S,D,G
+427	T	A,H,S,P
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+432	Q	E,F,H,K,*,L,N,Q,P,R
+433	F	F,R,L,V
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+436	Q	Q,H,L
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+472	S	A
+480	I	T,V
+490	L	V
+541	S	A
+552	R	C
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+
+%Capreomycin
+>Rv1694
+3	R	*
+14	R	W
+18	R	*
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+67	A	E
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+>Rvnr01
+1401	A	G
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+
+%Fluoroquinolones
+>Rv0006
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+
+%Isoniazid
+>Rv2846c
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+>Rv0340
+163	V	I
+>Rv2428
+-66	G	A
+-49	T	G
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+-44	T	A
+-40	T	C
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+-30	C	T
+-20	C	T
+-12	C	T
+-9	G	A
+-6	G	A
+-5	G	A
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+73	D	H
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+>Rv0342
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+>Rv1908c
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+%Para-Aminosalisylic_acid
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+%Amikacin
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+53	D	H
+110	C	Y
+172	L	R
+176	A	V
+186	R	G
+187	A	V
+188	S	R
+200	E	A
+211	L	M
+223	D	E
+230	R	W
+240	G	R
+292	L	M
+303	L	E
+320	L	V
+326	S	N
+350	V	G
+351	H	E
+356	R	G
+369	I	T
+379	Q	R
+396	I	T
+>Rv3266c
+-71	G	T
+257	S	P
+284	T	K
+
+%Levofloxacin
+>Rv0006
+74	A	S
+80	T	A
+88	G	A
+89	D	N
+90	A	G,V
+91	S	P
+94	D	A,G,F,H,N,V,Y
+95	S	T
+102	P	H
+109	L	V
+>Rv0005
+457	R	C
+458	S	F
+472	D	A,H,N
+481	G	A
+505	D	A
+511	T	P
+512	E	D,V
+515	A	T,V
+549	Q	H
+
+%Kanamycin
+>Rv1694
+3	R	*
+14	R	W
+18	R	*
+22	Q	*
+67	A	E
+69	K	E
+91	A	E
+118	L	P
+128	V	E
+150	L	P
+183	P	L
+184	Q	*
+185	F	L
+236	N	K
+238	E	K
+>Rvnr01
+1401	A	G
+1402	C	A,T
+1484	G	T
+
+%Streptomycin
+>Rv3919c
+16	L	R
+40	E	*
+45	W	C
+47	R	Q
+55	I	S
+67	D	H
+70	S	R
+71	G	V
+75	P	A
+92	E	D
+103	E	*
+125	Q	*
+127	Q	P
+134	A	E
+138	A	E
+148	W	R
+183	A	E
+188	V	G
+200	A	E
+>Rv0682
+9	R	H
+40	T	I
+41	T	S
+43	K	R,T
+51	K	N
+52	V	G
+84	G	V
+86	R	P,W
+87	V	L
+88	K	Q,R,M,T
+93	V	M
+>Rvnr01
+190	G	A
+427	G	C,T
+462	C	T
+492	C	T
+513	C	T
+514	A	C,T
+517	C	T
+628	G	C
+799	C	T
+866	C	G
+888	G	A
+905	C	A,G
+906	A	G
+907	A	C,T
+908	A	G
+1239	T	C
+1401	A	G
+
+%Ofloxacin
+>Rv0006
+74	A	S
+80	T	A
+88	G	A
+89	D	N
+90	A	G,V
+91	S	P
+94	D	A,G,F,H,N,V,Y
+95	S	T
+102	P	H
+109	L	V
+>Rv0005
+457	R	C
+458	S	F
+472	D	A,H,N
+481	G	A
+505	D	A
+511	T	P
+512	E	D,V
+515	A	T,V
+549	Q	H
+
diff --git a/datasets/mtu173/gold/gold_assocs_A_old.txt b/datasets/mtu173/gold/gold_assocs_A_old.txt
new file mode 100644
index 0000000..262b507
--- /dev/null
+++ b/datasets/mtu173/gold/gold_assocs_A_old.txt
@@ -0,0 +1,1230 @@
+Amikacin	rrs	Rvnr01	1401	A	G
+Amikacin	rrs	Rvnr01	1402	C	A
+Amikacin	rrs	Rvnr01	1402	C	T
+Amikacin	rrs	Rvnr01	1484	G	T
+Amikacin	tlyA	Rv1694	3	R	*
+Amikacin	tlyA	Rv1694	7	X	*
+Amikacin	tlyA	Rv1694	8	X	*
+Amikacin	tlyA	Rv1694	14	R	W
+Amikacin	tlyA	Rv1694	18	R	*
+Amikacin	tlyA	Rv1694	22	Q	*
+Amikacin	tlyA	Rv1694	23	X	A
+Amikacin	tlyA	Rv1694	67	A	E
+Amikacin	tlyA	Rv1694	69	K	E
+Amikacin	tlyA	Rv1694	72	X	*
+Amikacin	tlyA	Rv1694	91	A	E
+Amikacin	tlyA	Rv1694	103	X	*
+Amikacin	tlyA	Rv1694	118	L	P
+Amikacin	tlyA	Rv1694	128	V	E
+Amikacin	tlyA	Rv1694	132	X	*
+Amikacin	tlyA	Rv1694	133	X	*
+Amikacin	tlyA	Rv1694	150	L	P
+Amikacin	tlyA	Rv1694	159	X	*
+Amikacin	tlyA	Rv1694	183	P	L
+Amikacin	tlyA	Rv1694	184	Q	*
+Amikacin	tlyA	Rv1694	185	F	L
+Amikacin	tlyA	Rv1694	195	X	*
+Amikacin	tlyA	Rv1694	217	X	*
+Amikacin	tlyA	Rv1694	218	X	*
+Amikacin	tlyA	Rv1694	224	X	*
+Amikacin	tlyA	Rv1694	236	N	K
+Amikacin	tlyA	Rv1694	238	E	K
+Amikacin	tlyA	Rv1694	252	X	*
+Capreomycin	rrs	Rvnr01	1401	A	G
+Capreomycin	rrs	Rvnr01	1402	C	A
+Capreomycin	rrs	Rvnr01	1402	C	T
+Capreomycin	rrs	Rvnr01	1484	G	T
+Capreomycin	tlyA	Rv1694	3	R	*
+Capreomycin	tlyA	Rv1694	7	X	*
+Capreomycin	tlyA	Rv1694	8	X	*
+Capreomycin	tlyA	Rv1694	14	R	W
+Capreomycin	tlyA	Rv1694	18	R	*
+Capreomycin	tlyA	Rv1694	22	Q	*
+Capreomycin	tlyA	Rv1694	23	X	A
+Capreomycin	tlyA	Rv1694	67	A	E
+Capreomycin	tlyA	Rv1694	69	K	E
+Capreomycin	tlyA	Rv1694	72	X	*
+Capreomycin	tlyA	Rv1694	91	A	E
+Capreomycin	tlyA	Rv1694	103	X	*
+Capreomycin	tlyA	Rv1694	118	L	P
+Capreomycin	tlyA	Rv1694	128	V	E
+Capreomycin	tlyA	Rv1694	132	X	*
+Capreomycin	tlyA	Rv1694	133	X	*
+Capreomycin	tlyA	Rv1694	150	L	P
+Capreomycin	tlyA	Rv1694	159	X	*
+Capreomycin	tlyA	Rv1694	183	P	L
+Capreomycin	tlyA	Rv1694	184	Q	*
+Capreomycin	tlyA	Rv1694	185	F	L
+Capreomycin	tlyA	Rv1694	195	X	*
+Capreomycin	tlyA	Rv1694	217	X	*
+Capreomycin	tlyA	Rv1694	218	X	*
+Capreomycin	tlyA	Rv1694	224	X	*
+Capreomycin	tlyA	Rv1694	236	N	K
+Capreomycin	tlyA	Rv1694	238	E	K
+Capreomycin	tlyA	Rv1694	252	X	*
+Ciprofloxacin	gyrA	Rv0006	74	A	S
+Ciprofloxacin	gyrA	Rv0006	80	T	A
+Ciprofloxacin	gyrA	Rv0006	88	G	A
+Ciprofloxacin	gyrA	Rv0006	89	D	N
+Ciprofloxacin	gyrA	Rv0006	90	A	G
+Ciprofloxacin	gyrA	Rv0006	90	A	V
+Ciprofloxacin	gyrA	Rv0006	91	S	P
+Ciprofloxacin	gyrA	Rv0006	94	D	A
+Ciprofloxacin	gyrA	Rv0006	94	D	F
+Ciprofloxacin	gyrA	Rv0006	94	D	G
+Ciprofloxacin	gyrA	Rv0006	94	D	H
+Ciprofloxacin	gyrA	Rv0006	94	D	N
+Ciprofloxacin	gyrA	Rv0006	94	D	V
+Ciprofloxacin	gyrA	Rv0006	94	D	Y
+Ciprofloxacin	gyrA	Rv0006	95	S	T
+Ciprofloxacin	gyrA	Rv0006	102	P	H
+Ciprofloxacin	gyrA	Rv0006	109	L	V
+Ciprofloxacin	gyrB	Rv0005	457	R	C
+Ciprofloxacin	gyrB	Rv0005	458	S	F
+Ciprofloxacin	gyrB	Rv0005	472	D	A
+Ciprofloxacin	gyrB	Rv0005	472	D	H
+Ciprofloxacin	gyrB	Rv0005	472	D	N
+Ciprofloxacin	gyrB	Rv0005	481	G	A
+Ciprofloxacin	gyrB	Rv0005	505	D	A
+Ciprofloxacin	gyrB	Rv0005	510	N	D
+Ciprofloxacin	gyrB	Rv0005	510	N	T
+Ciprofloxacin	gyrB	Rv0005	510	Q	K
+Ciprofloxacin	gyrB	Rv0005	511	T	P
+Ciprofloxacin	gyrB	Rv0005	512	E	D
+Ciprofloxacin	gyrB	Rv0005	512	E	V
+Ciprofloxacin	gyrB	Rv0005	515	A	T
+Ciprofloxacin	gyrB	Rv0005	515	A	V
+Ciprofloxacin	gyrB	Rv0005	549	Q	H
+Ethambutol	Rv0340	Rv0340	173	T	M
+Ethambutol	Rv3124	Rv3124	-16	A	G
+Ethambutol	Rv3125	Rv3125	54	P	S
+Ethambutol	Rv3126	Rv3126	276	L	R
+Ethambutol	embA	Rv3794	-16	C	T
+Ethambutol	embA	Rv3794	-12	C	T
+Ethambutol	embA	Rv3794	-11	C	A
+Ethambutol	embA	Rv3794	4	D	N
+Ethambutol	embA	Rv3794	201	A	T
+Ethambutol	embA	Rv3794	321	G	S
+Ethambutol	embA	Rv3794	350	G	D
+Ethambutol	embA	Rv3794	462	A	V
+Ethambutol	embA	Rv3794	833	D	A
+Ethambutol	embA	Rv3794	913	P	S
+Ethambutol	embB	Rv3795	128	V	G
+Ethambutol	embB	Rv3795	221	A	G
+Ethambutol	embB	Rv3795	225	A	S
+Ethambutol	embB	Rv3795	227	V	G
+Ethambutol	embB	Rv3795	239	L	P
+Ethambutol	embB	Rv3795	240	D	H
+Ethambutol	embB	Rv3795	257	R	W
+Ethambutol	embB	Rv3795	271	A	V
+Ethambutol	embB	Rv3795	272	S	C
+Ethambutol	embB	Rv3795	272	S	I
+Ethambutol	embB	Rv3795	274	R	P
+Ethambutol	embB	Rv3795	281	A	P
+Ethambutol	embB	Rv3795	281	F	L
+Ethambutol	embB	Rv3795	282	V	G
+Ethambutol	embB	Rv3795	282	V	L
+Ethambutol	embB	Rv3795	285	F	L
+Ethambutol	embB	Rv3795	287	F	C
+Ethambutol	embB	Rv3795	287	F	V
+Ethambutol	embB	Rv3795	293	I	N
+Ethambutol	embB	Rv3795	294	G	S
+Ethambutol	embB	Rv3795	296	N	K
+Ethambutol	embB	Rv3795	297	S	A
+Ethambutol	embB	Rv3795	297	S	L
+Ethambutol	embB	Rv3795	299	D	E
+Ethambutol	embB	Rv3795	306	M	I
+Ethambutol	embB	Rv3795	306	M	L
+Ethambutol	embB	Rv3795	306	M	T
+Ethambutol	embB	Rv3795	306	M	V
+Ethambutol	embB	Rv3795	309	V	G
+Ethambutol	embB	Rv3795	310	A	R
+Ethambutol	embB	Rv3795	311	D	H
+Ethambutol	embB	Rv3795	311	D	R
+Ethambutol	embB	Rv3795	312	H	R
+Ethambutol	embB	Rv3795	314	G	A
+Ethambutol	embB	Rv3795	314	G	E
+Ethambutol	embB	Rv3795	315	Y	L
+Ethambutol	embB	Rv3795	317	S	T
+Ethambutol	embB	Rv3795	318	N	H
+Ethambutol	embB	Rv3795	318	N	K
+Ethambutol	embB	Rv3795	318	N	S
+Ethambutol	embB	Rv3795	319	Y	C
+Ethambutol	embB	Rv3795	319	Y	N
+Ethambutol	embB	Rv3795	319	Y	S
+Ethambutol	embB	Rv3795	322	Y	C
+Ethambutol	embB	Rv3795	328	D	G
+Ethambutol	embB	Rv3795	328	D	V
+Ethambutol	embB	Rv3795	328	D	Y
+Ethambutol	embB	Rv3795	328	X	*
+Ethambutol	embB	Rv3795	330	F	V
+Ethambutol	embB	Rv3795	331	D	Y
+Ethambutol	embB	Rv3795	331	G	R
+Ethambutol	embB	Rv3795	332	W	L
+Ethambutol	embB	Rv3795	333	Y	H
+Ethambutol	embB	Rv3795	334	Y	H
+Ethambutol	embB	Rv3795	347	S	I
+Ethambutol	embB	Rv3795	347	S	T
+Ethambutol	embB	Rv3795	356	A	F
+Ethambutol	embB	Rv3795	356	A	S
+Ethambutol	embB	Rv3795	356	A	V
+Ethambutol	embB	Rv3795	357	A	S
+Ethambutol	embB	Rv3795	357	A	V
+Ethambutol	embB	Rv3795	358	G	V
+Ethambutol	embB	Rv3795	359	L	I
+Ethambutol	embB	Rv3795	360	V	M
+Ethambutol	embB	Rv3795	366	S	P
+Ethambutol	embB	Rv3795	367	R	P
+Ethambutol	embB	Rv3795	368	E	A
+Ethambutol	embB	Rv3795	368	E	D
+Ethambutol	embB	Rv3795	368	E	Q
+Ethambutol	embB	Rv3795	369	V	A
+Ethambutol	embB	Rv3795	369	V	L
+Ethambutol	embB	Rv3795	370	L	R
+Ethambutol	embB	Rv3795	371	P	R
+Ethambutol	embB	Rv3795	374	G	V
+Ethambutol	embB	Rv3795	375	P	A
+Ethambutol	embB	Rv3795	377	V	G
+Ethambutol	embB	Rv3795	377	V	M
+Ethambutol	embB	Rv3795	378	E	A
+Ethambutol	embB	Rv3795	378	E	K
+Ethambutol	embB	Rv3795	379	A	D
+Ethambutol	embB	Rv3795	379	A	T
+Ethambutol	embB	Rv3795	380	S	D
+Ethambutol	embB	Rv3795	380	S	R
+Ethambutol	embB	Rv3795	384	Y	N
+Ethambutol	embB	Rv3795	388	A	G
+Ethambutol	embB	Rv3795	395	W	C
+Ethambutol	embB	Rv3795	395	W	R
+Ethambutol	embB	Rv3795	397	P	Q
+Ethambutol	embB	Rv3795	397	P	T
+Ethambutol	embB	Rv3795	398	F	H
+Ethambutol	embB	Rv3795	398	F	Y
+Ethambutol	embB	Rv3795	399	N	D
+Ethambutol	embB	Rv3795	399	N	H
+Ethambutol	embB	Rv3795	400	N	K
+Ethambutol	embB	Rv3795	400	N	P
+Ethambutol	embB	Rv3795	401	G	S
+Ethambutol	embB	Rv3795	405	E	P
+Ethambutol	embB	Rv3795	406	G	A
+Ethambutol	embB	Rv3795	406	G	C
+Ethambutol	embB	Rv3795	406	G	D
+Ethambutol	embB	Rv3795	406	G	P
+Ethambutol	embB	Rv3795	406	G	S
+Ethambutol	embB	Rv3795	423	M	I
+Ethambutol	embB	Rv3795	430	P	L
+Ethambutol	embB	Rv3795	431	A	T
+Ethambutol	embB	Rv3795	434	R	G
+Ethambutol	embB	Rv3795	435	V	G
+Ethambutol	embB	Rv3795	436	V	G
+Ethambutol	embB	Rv3795	437	T	A
+Ethambutol	embB	Rv3795	446	P	H
+Ethambutol	embB	Rv3795	448	G	V
+Ethambutol	embB	Rv3795	452	V	L
+Ethambutol	embB	Rv3795	459	G	A
+Ethambutol	embB	Rv3795	460	R	C
+Ethambutol	embB	Rv3795	460	R	L
+Ethambutol	embB	Rv3795	461	P	S
+Ethambutol	embB	Rv3795	465	I	D
+Ethambutol	embB	Rv3795	469	R	P
+Ethambutol	embB	Rv3795	471	R	P
+Ethambutol	embB	Rv3795	497	Q	K
+Ethambutol	embB	Rv3795	497	Q	R
+Ethambutol	embB	Rv3795	630	T	I
+Ethambutol	embB	Rv3795	659	A	T
+Ethambutol	embB	Rv3795	745	G	D
+Ethambutol	embB	Rv3795	959	D	A
+Ethambutol	embB	Rv3795	1000	M	R
+Ethambutol	embB	Rv3795	1024	D	N
+Ethambutol	embC	Rv3793	5	G	S
+Ethambutol	embC	Rv3793	244	A	T
+Ethambutol	embC	Rv3793	247	A	P
+Ethambutol	embC	Rv3793	251	L	R
+Ethambutol	embC	Rv3793	254	A	G
+Ethambutol	embC	Rv3793	270	T	I
+Ethambutol	embC	Rv3793	272	G	S
+Ethambutol	embC	Rv3793	285	H	Y
+Ethambutol	embC	Rv3793	287	V	F
+Ethambutol	embC	Rv3793	288	G	V
+Ethambutol	embC	Rv3793	288	G	W
+Ethambutol	embC	Rv3793	296	Y	H
+Ethambutol	embC	Rv3793	296	Y	S
+Ethambutol	embC	Rv3793	297	I	L
+Ethambutol	embC	Rv3793	297	I	T
+Ethambutol	embC	Rv3793	300	M	R
+Ethambutol	embC	Rv3793	302	R	G
+Ethambutol	embC	Rv3793	303	V	G
+Ethambutol	embC	Rv3793	307	A	T
+Ethambutol	embC	Rv3793	308	G	D
+Ethambutol	embC	Rv3793	309	Y	N
+Ethambutol	embC	Rv3793	310	M	K
+Ethambutol	embC	Rv3793	325	G	S
+Ethambutol	embC	Rv3793	326	W	R
+Ethambutol	embC	Rv3793	327	Y	N
+Ethambutol	embC	Rv3793	394	N	D
+Ethambutol	embC	Rv3793	738	R	Q
+Ethambutol	embC	Rv3793	981	V	L
+Ethambutol	embR	Rv1267c	7	V	G
+Ethambutol	embR	Rv1267c	32	T	P
+Ethambutol	embR	Rv1267c	53	D	H
+Ethambutol	embR	Rv1267c	110	C	Y
+Ethambutol	embR	Rv1267c	172	L	R
+Ethambutol	embR	Rv1267c	176	A	V
+Ethambutol	embR	Rv1267c	186	R	G
+Ethambutol	embR	Rv1267c	187	A	V
+Ethambutol	embR	Rv1267c	188	S	R
+Ethambutol	embR	Rv1267c	200	E	A
+Ethambutol	embR	Rv1267c	211	L	M
+Ethambutol	embR	Rv1267c	223	D	E
+Ethambutol	embR	Rv1267c	230	R	W
+Ethambutol	embR	Rv1267c	240	G	R
+Ethambutol	embR	Rv1267c	292	L	M
+Ethambutol	embR	Rv1267c	303	L	E
+Ethambutol	embR	Rv1267c	320	L	V
+Ethambutol	embR	Rv1267c	326	S	N
+Ethambutol	embR	Rv1267c	350	V	G
+Ethambutol	embR	Rv1267c	351	H	E
+Ethambutol	embR	Rv1267c	356	R	G
+Ethambutol	embR	Rv1267c	369	I	T
+Ethambutol	embR	Rv1267c	379	Q	R
+Ethambutol	embR	Rv1267c	396	I	T
+Ethambutol	iniA	Rv0342	308	G	R
+Ethambutol	iniA	Rv0342	501	S	W
+Ethambutol	iniB	Rv0341	-89	C	T
+Ethambutol	iniB	Rv0341	47	A	T
+Ethambutol	iniC	Rv0343	248	P	A
+Ethambutol	iniC	Rv0343	351	Q	*
+Ethambutol	rmlA2	Rv3264c	152	D	N
+Ethambutol	rmlD	Rv3266c	-71	G	T
+Ethambutol	rmlD	Rv3266c	257	S	P
+Ethambutol	rmlD	Rv3266c	284	T	K
+Ethionamide	ethA	Rv3854c	21	X	*
+Ethionamide	ethA	Rv3854c	36	X	*
+Ethionamide	ethA	Rv3854c	43	G	C
+Ethionamide	ethA	Rv3854c	43	G	S
+Ethionamide	ethA	Rv3854c	51	P	L
+Ethionamide	ethA	Rv3854c	55	D	A
+Ethionamide	ethA	Rv3854c	58	D	A
+Ethionamide	ethA	Rv3854c	84	Y	D
+Ethionamide	ethA	Rv3854c	112	X	*
+Ethionamide	ethA	Rv3854c	186	T	K
+Ethionamide	ethA	Rv3854c	223	E	K
+Ethionamide	ethA	Rv3854c	234	X	*
+Ethionamide	ethA	Rv3854c	246	Q	*
+Ethionamide	ethA	Rv3854c	256	X	*
+Ethionamide	ethA	Rv3854c	270	X	*
+Ethionamide	ethA	Rv3854c	338	I	S
+Ethionamide	ethA	Rv3854c	342	T	K
+Ethionamide	ethA	Rv3854c	381	A	P
+Ethionamide	ethA	Rv3854c	385	G	D
+Ethionamide	ethA	Rv3854c	392	T	A
+Ethionamide	ethA	Rv3854c	413	G	D
+Ethionamide	ethA	Rv3854c	430	X	*
+Ethionamide	ethA	Rv3854c	440	X	*
+Ethionamide	ethA	Rv3854c	463	R	S
+Ethionamide	fabG1-inhA	Rv1483	-17	G	T
+Ethionamide	fabG1-inhA	Rv1483	-15	C	T
+Ethionamide	inhA	Rv1484	94	S	A
+Ethionamide	inhA	Rv1484	95	I	P
+Isoniazid	Rv0340	Rv0340	163	V	I
+Isoniazid	Rv1592c	Rv1592c	-29	G	A
+Isoniazid	Rv1592c	Rv1592c	42	P	L
+Isoniazid	Rv1592c	Rv1592c	430	V	A
+Isoniazid	Rv1772	Rv1772	4	T	A
+Isoniazid	accD6	Rv2247	229	D	G
+Isoniazid	ahpC	Rv2428	-66	G	A
+Isoniazid	ahpC	Rv2428	-49	T	G
+Isoniazid	ahpC	Rv2428	-46	G	A
+Isoniazid	ahpC	Rv2428	-44	T	A
+Isoniazid	ahpC	Rv2428	-40	T	C
+Isoniazid	ahpC	Rv2428	-39	C	T
+Isoniazid	ahpC	Rv2428	-34	T	A
+Isoniazid	ahpC	Rv2428	-32	C	T
+Isoniazid	ahpC	Rv2428	-32	G	A
+Isoniazid	ahpC	Rv2428	-30	C	T
+Isoniazid	ahpC	Rv2428	-20	C	T
+Isoniazid	ahpC	Rv2428	-12	C	T
+Isoniazid	ahpC	Rv2428	-9	G	A
+Isoniazid	ahpC	Rv2428	-6	G	A
+Isoniazid	ahpC	Rv2428	-5	G	A
+Isoniazid	ahpC	Rv2428	2	P	S
+Isoniazid	ahpC	Rv2428	3	L	K
+Isoniazid	ahpC	Rv2428	5	T	I
+Isoniazid	ahpC	Rv2428	10	F	I
+Isoniazid	ahpC	Rv2428	33	D	N
+Isoniazid	ahpC	Rv2428	73	D	H
+Isoniazid	ahpC	Rv2428	76	E	K
+Isoniazid	ahpC	Rv2428	191	L	R
+Isoniazid	efpA	Rv2846c	73	I	T
+Isoniazid	embB	Rv3795	333	Y	H
+Isoniazid	fabD	Rv2243	275	S	N
+Isoniazid	fabG1-inhA	Rv1483	-92	A	T
+Isoniazid	fabG1-inhA	Rv1483	-67	G	C
+Isoniazid	fabG1-inhA	Rv1483	-24	G	T
+Isoniazid	fabG1-inhA	Rv1483	-17	G	T
+Isoniazid	fabG1-inhA	Rv1483	-15	C	T
+Isoniazid	fabG1-inhA	Rv1483	-8	T	A
+Isoniazid	fabG1-inhA	Rv1483	-8	T	C
+Isoniazid	fabG1-inhA	Rv1483	-8	T	G
+Isoniazid	fabG1-inhA	Rv1483	-5	T	A
+Isoniazid	fabG1-inhA	Rv1483	5	A	P
+Isoniazid	fabG1-inhA	Rv1483	14	V	L
+Isoniazid	fabG1-inhA	Rv1483	21	T	A
+Isoniazid	fbpC	Rv0129c	-63	C	T
+Isoniazid	fbpC	Rv0129c	-23	A	C
+Isoniazid	fbpC	Rv0129c	158	G	S
+Isoniazid	furA	Rv1909c	5	S	P
+Isoniazid	inhA	Rv1484	8	K	N
+Isoniazid	inhA	Rv1484	16	I	T
+Isoniazid	inhA	Rv1484	21	I	T
+Isoniazid	inhA	Rv1484	21	I	V
+Isoniazid	inhA	Rv1484	47	I	T
+Isoniazid	inhA	Rv1484	78	V	A
+Isoniazid	inhA	Rv1484	94	S	A
+Isoniazid	inhA	Rv1484	94	S	L
+Isoniazid	inhA	Rv1484	95	I	P
+Isoniazid	inhA	Rv1484	95	I	T
+Isoniazid	inhA	Rv1484	194	I	T
+Isoniazid	inhA	Rv1484	202	R	G
+Isoniazid	inhA	Rv1484	217	E	D
+Isoniazid	iniA	Rv0342	3	P	A
+Isoniazid	iniA	Rv0342	94	X	*
+Isoniazid	iniA	Rv0342	537	R	H
+Isoniazid	iniC	Rv0343	83	W	G
+Isoniazid	kasA	Rv2245	66	D	N
+Isoniazid	kasA	Rv2245	77	M	I
+Isoniazid	kasA	Rv2245	121	R	K
+Isoniazid	kasA	Rv2245	269	G	S
+Isoniazid	kasA	Rv2245	312	G	S
+Isoniazid	kasA	Rv2245	387	G	D
+Isoniazid	kasA	Rv2245	413	F	L
+Isoniazid	katG	Rv1908c	1	V	A
+Isoniazid	katG	Rv1908c	1	V	L
+Isoniazid	katG	Rv1908c	2	P	S
+Isoniazid	katG	Rv1908c	10	X	*
+Isoniazid	katG	Rv1908c	11	T	A
+Isoniazid	katG	Rv1908c	12	T	P
+Isoniazid	katG	Rv1908c	17	S	N
+Isoniazid	katG	Rv1908c	19	G	D
+Isoniazid	katG	Rv1908c	33	X	*
+Isoniazid	katG	Rv1908c	35	N	D
+Isoniazid	katG	Rv1908c	37	X	*
+Isoniazid	katG	Rv1908c	38	W	*
+Isoniazid	katG	Rv1908c	48	L	Q
+Isoniazid	katG	Rv1908c	50	X	*
+Isoniazid	katG	Rv1908c	61	A	T
+Isoniazid	katG	Rv1908c	62	X	*
+Isoniazid	katG	Rv1908c	63	D	E
+Isoniazid	katG	Rv1908c	65	A	T
+Isoniazid	katG	Rv1908c	65	X	*
+Isoniazid	katG	Rv1908c	66	A	P
+Isoniazid	katG	Rv1908c	71	I	N
+Isoniazid	katG	Rv1908c	72	D	G
+Isoniazid	katG	Rv1908c	72	D	K
+Isoniazid	katG	Rv1908c	73	D	N
+Isoniazid	katG	Rv1908c	74	D	G
+Isoniazid	katG	Rv1908c	74	D	Y
+Isoniazid	katG	Rv1908c	84	M	I
+Isoniazid	katG	Rv1908c	85	T	P
+Isoniazid	katG	Rv1908c	88	Q	R
+Isoniazid	katG	Rv1908c	90	W	*
+Isoniazid	katG	Rv1908c	91	W	R
+Isoniazid	katG	Rv1908c	94	D	A
+Isoniazid	katG	Rv1908c	94	D	G
+Isoniazid	katG	Rv1908c	96	G	C
+Isoniazid	katG	Rv1908c	99	G	E
+Isoniazid	katG	Rv1908c	104	R	L
+Isoniazid	katG	Rv1908c	104	R	Q
+Isoniazid	katG	Rv1908c	106	A	V
+Isoniazid	katG	Rv1908c	107	W	*
+Isoniazid	katG	Rv1908c	107	W	R
+Isoniazid	katG	Rv1908c	108	H	D
+Isoniazid	katG	Rv1908c	108	H	E
+Isoniazid	katG	Rv1908c	108	H	Q
+Isoniazid	katG	Rv1908c	109	A	V
+Isoniazid	katG	Rv1908c	110	A	V
+Isoniazid	katG	Rv1908c	113	X	*
+Isoniazid	katG	Rv1908c	117	D	A
+Isoniazid	katG	Rv1908c	120	X	*
+Isoniazid	katG	Rv1908c	121	G	C
+Isoniazid	katG	Rv1908c	121	G	V
+Isoniazid	katG	Rv1908c	122	X	*
+Isoniazid	katG	Rv1908c	123	X	*
+Isoniazid	katG	Rv1908c	124	X	*
+Isoniazid	katG	Rv1908c	125	G	C
+Isoniazid	katG	Rv1908c	125	X	H
+Isoniazid	katG	Rv1908c	126	M	I
+Isoniazid	katG	Rv1908c	127	Q	P
+Isoniazid	katG	Rv1908c	128	R	P
+Isoniazid	katG	Rv1908c	138	N	D
+Isoniazid	katG	Rv1908c	138	N	H
+Isoniazid	katG	Rv1908c	138	N	S
+Isoniazid	katG	Rv1908c	138	N	T
+Isoniazid	katG	Rv1908c	139	A	P
+Isoniazid	katG	Rv1908c	140	S	A
+Isoniazid	katG	Rv1908c	140	S	G
+Isoniazid	katG	Rv1908c	140	S	N
+Isoniazid	katG	Rv1908c	140	S	R
+Isoniazid	katG	Rv1908c	141	L	F
+Isoniazid	katG	Rv1908c	142	D	A
+Isoniazid	katG	Rv1908c	143	K	T
+Isoniazid	katG	Rv1908c	148	L	A
+Isoniazid	katG	Rv1908c	148	L	R
+Isoniazid	katG	Rv1908c	150	L	A
+Isoniazid	katG	Rv1908c	155	Y	C
+Isoniazid	katG	Rv1908c	155	Y	S
+Isoniazid	katG	Rv1908c	160	S	L
+Isoniazid	katG	Rv1908c	162	A	T
+Isoniazid	katG	Rv1908c	169	G	A
+Isoniazid	katG	Rv1908c	172	A	T
+Isoniazid	katG	Rv1908c	172	A	V
+Isoniazid	katG	Rv1908c	176	M	I
+Isoniazid	katG	Rv1908c	180	T	C
+Isoniazid	katG	Rv1908c	180	T	K
+Isoniazid	katG	Rv1908c	186	G	H
+Isoniazid	katG	Rv1908c	186	G	V
+Isoniazid	katG	Rv1908c	191	W	R
+Isoniazid	katG	Rv1908c	191	X	*
+Isoniazid	katG	Rv1908c	195	E	K
+Isoniazid	katG	Rv1908c	198	W	*
+Isoniazid	katG	Rv1908c	200	K	*
+Isoniazid	katG	Rv1908c	204	W	R
+Isoniazid	katG	Rv1908c	217	X	*
+Isoniazid	katG	Rv1908c	218	N	K
+Isoniazid	katG	Rv1908c	224	Q	E
+Isoniazid	katG	Rv1908c	229	Y	F
+Isoniazid	katG	Rv1908c	230	V	A
+Isoniazid	katG	Rv1908c	234	G	E
+Isoniazid	katG	Rv1908c	234	G	R
+Isoniazid	katG	Rv1908c	236	N	T
+Isoniazid	katG	Rv1908c	238	N	K
+Isoniazid	katG	Rv1908c	241	P	P
+Isoniazid	katG	Rv1908c	243	A	S
+Isoniazid	katG	Rv1908c	249	R	C
+Isoniazid	katG	Rv1908c	251	T	M
+Isoniazid	katG	Rv1908c	252	F	L
+Isoniazid	katG	Rv1908c	257	M	I
+Isoniazid	katG	Rv1908c	257	M	T
+Isoniazid	katG	Rv1908c	258	N	S
+Isoniazid	katG	Rv1908c	262	T	R
+Isoniazid	katG	Rv1908c	264	A	T
+Isoniazid	katG	Rv1908c	268	X	*
+Isoniazid	katG	Rv1908c	275	T	A
+Isoniazid	katG	Rv1908c	275	T	P
+Isoniazid	katG	Rv1908c	275	T	S
+Isoniazid	katG	Rv1908c	279	G	D
+Isoniazid	katG	Rv1908c	280	P	H
+Isoniazid	katG	Rv1908c	281	A	V
+Isoniazid	katG	Rv1908c	285	G	D
+Isoniazid	katG	Rv1908c	289	E	D
+Isoniazid	katG	Rv1908c	289	X	*
+Isoniazid	katG	Rv1908c	291	A	P
+Isoniazid	katG	Rv1908c	295	Q	P
+Isoniazid	katG	Rv1908c	297	G	V
+Isoniazid	katG	Rv1908c	299	G	A
+Isoniazid	katG	Rv1908c	299	G	C
+Isoniazid	katG	Rv1908c	300	W	*
+Isoniazid	katG	Rv1908c	300	W	G
+Isoniazid	katG	Rv1908c	301	X	*
+Isoniazid	katG	Rv1908c	302	S	R
+Isoniazid	katG	Rv1908c	304	Y	S
+Isoniazid	katG	Rv1908c	305	G	A
+Isoniazid	katG	Rv1908c	307	G	A
+Isoniazid	katG	Rv1908c	307	G	E
+Isoniazid	katG	Rv1908c	307	G	R
+Isoniazid	katG	Rv1908c	308	T	P
+Isoniazid	katG	Rv1908c	309	G	C
+Isoniazid	katG	Rv1908c	309	G	D
+Isoniazid	katG	Rv1908c	309	G	F
+Isoniazid	katG	Rv1908c	309	G	S
+Isoniazid	katG	Rv1908c	310	X	*
+Isoniazid	katG	Rv1908c	311	D	E
+Isoniazid	katG	Rv1908c	311	D	F
+Isoniazid	katG	Rv1908c	311	D	G
+Isoniazid	katG	Rv1908c	311	D	Y
+Isoniazid	katG	Rv1908c	314	S	N
+Isoniazid	katG	Rv1908c	314	S	T
+Isoniazid	katG	Rv1908c	315	S	G
+Isoniazid	katG	Rv1908c	315	S	I
+Isoniazid	katG	Rv1908c	315	S	L
+Isoniazid	katG	Rv1908c	315	S	N
+Isoniazid	katG	Rv1908c	315	S	R
+Isoniazid	katG	Rv1908c	315	S	T
+Isoniazid	katG	Rv1908c	316	G	D
+Isoniazid	katG	Rv1908c	316	G	S
+Isoniazid	katG	Rv1908c	317	I	L
+Isoniazid	katG	Rv1908c	318	G	V
+Isoniazid	katG	Rv1908c	321	W	*
+Isoniazid	katG	Rv1908c	321	W	C
+Isoniazid	katG	Rv1908c	321	W	L
+Isoniazid	katG	Rv1908c	321	W	R
+Isoniazid	katG	Rv1908c	321	W	S
+Isoniazid	katG	Rv1908c	324	T	P
+Isoniazid	katG	Rv1908c	328	W	C
+Isoniazid	katG	Rv1908c	328	W	G
+Isoniazid	katG	Rv1908c	328	W	L
+Isoniazid	katG	Rv1908c	328	W	S
+Isoniazid	katG	Rv1908c	331	S	C
+Isoniazid	katG	Rv1908c	334	I	T
+Isoniazid	katG	Rv1908c	335	I	T
+Isoniazid	katG	Rv1908c	335	I	V
+Isoniazid	katG	Rv1908c	336	L	R
+Isoniazid	katG	Rv1908c	337	Y	C
+Isoniazid	katG	Rv1908c	337	Y	F
+Isoniazid	katG	Rv1908c	341	W	S
+Isoniazid	katG	Rv1908c	345	K	T
+Isoniazid	katG	Rv1908c	346	X	*
+Isoniazid	katG	Rv1908c	350	A	S
+Isoniazid	katG	Rv1908c	350	A	T
+Isoniazid	katG	Rv1908c	352	Q	*
+Isoniazid	katG	Rv1908c	357	D	H
+Isoniazid	katG	Rv1908c	357	D	N
+Isoniazid	katG	Rv1908c	361	A	D
+Isoniazid	katG	Rv1908c	364	X	*
+Isoniazid	katG	Rv1908c	378	L	P
+Isoniazid	katG	Rv1908c	379	A	V
+Isoniazid	katG	Rv1908c	380	T	I
+Isoniazid	katG	Rv1908c	381	D	G
+Isoniazid	katG	Rv1908c	384	L	R
+Isoniazid	katG	Rv1908c	390	T	I
+Isoniazid	katG	Rv1908c	390	X	L
+Isoniazid	katG	Rv1908c	393	I	N
+Isoniazid	katG	Rv1908c	394	T	A
+Isoniazid	katG	Rv1908c	397	W	*
+Isoniazid	katG	Rv1908c	401	X	*
+Isoniazid	katG	Rv1908c	409	A	D
+Isoniazid	katG	Rv1908c	409	A	R
+Isoniazid	katG	Rv1908c	413	Y	H
+Isoniazid	katG	Rv1908c	414	K	N
+Isoniazid	katG	Rv1908c	418	R	L
+Isoniazid	katG	Rv1908c	418	R	Q
+Isoniazid	katG	Rv1908c	419	D	H
+Isoniazid	katG	Rv1908c	424	A	E
+Isoniazid	katG	Rv1908c	424	A	V
+Isoniazid	katG	Rv1908c	429	P	S
+Isoniazid	katG	Rv1908c	434	Q	*
+Isoniazid	katG	Rv1908c	438	X	*
+Isoniazid	katG	Rv1908c	444	A	T
+Isoniazid	katG	Rv1908c	449	L	F
+Isoniazid	katG	Rv1908c	454	E	R
+Isoniazid	katG	Rv1908c	457	S	I
+Isoniazid	katG	Rv1908c	462	I	T
+Isoniazid	katG	Rv1908c	463	R	L
+Isoniazid	katG	Rv1908c	477	W	*
+Isoniazid	katG	Rv1908c	484	R	S
+Isoniazid	katG	Rv1908c	485	G	V
+Isoniazid	katG	Rv1908c	488	K	N
+Isoniazid	katG	Rv1908c	490	R	C
+Isoniazid	katG	Rv1908c	491	G	C
+Isoniazid	katG	Rv1908c	502	Q	H
+Isoniazid	katG	Rv1908c	505	W	R
+Isoniazid	katG	Rv1908c	505	W	S
+Isoniazid	katG	Rv1908c	511	X	*
+Isoniazid	katG	Rv1908c	513	X	*
+Isoniazid	katG	Rv1908c	515	R	C
+Isoniazid	katG	Rv1908c	521	X	*
+Isoniazid	katG	Rv1908c	525	Q	P
+Isoniazid	katG	Rv1908c	529	N	D
+Isoniazid	katG	Rv1908c	550	A	D
+Isoniazid	katG	Rv1908c	551	A	G
+Isoniazid	katG	Rv1908c	556	X	*
+Isoniazid	katG	Rv1908c	567	F	S
+Isoniazid	katG	Rv1908c	573	D	N
+Isoniazid	katG	Rv1908c	574	A	E
+Isoniazid	katG	Rv1908c	574	A	V
+Isoniazid	katG	Rv1908c	587	L	I
+Isoniazid	katG	Rv1908c	587	L	M
+Isoniazid	katG	Rv1908c	587	L	P
+Isoniazid	katG	Rv1908c	589	P	T
+Isoniazid	katG	Rv1908c	593	G	D
+Isoniazid	katG	Rv1908c	607	E	K
+Isoniazid	katG	Rv1908c	609	M	I
+Isoniazid	katG	Rv1908c	617	X	*
+Isoniazid	katG	Rv1908c	619	L	P
+Isoniazid	katG	Rv1908c	629	G	S
+Isoniazid	katG	Rv1908c	634	L	F
+Isoniazid	katG	Rv1908c	636	A	E
+Isoniazid	katG	Rv1908c	653	L	P
+Isoniazid	katG	Rv1908c	685	G	R
+Isoniazid	katG	Rv1908c	695	D	A
+Isoniazid	katG	Rv1908c	699	G	Q
+Isoniazid	katG	Rv1908c	700	S	P
+Isoniazid	katG	Rv1908c	710	V	A
+Isoniazid	katG	Rv1908c	713	A	P
+Isoniazid	katG	Rv1908c	716	A	P
+Isoniazid	katG	Rv1908c	717	Q	P
+Isoniazid	katG	Rv1908c	727	A	D
+Isoniazid	katG	Rv1908c	728	W	C
+Isoniazid	katG	Rv1908c	735	D	A
+Isoniazid	katG	Rv1908c	735	D	N
+Isoniazid	katG	Rv1908c	735	X	D
+Isoniazid	ndh	Rv1854c	13	R	C
+Isoniazid	ndh	Rv1854c	18	V	A
+Isoniazid	ndh	Rv1854c	110	T	A
+Isoniazid	ndh	Rv1854c	239	L	P
+Isoniazid	ndh	Rv1854c	268	R	H
+Isoniazid	nhoA	Rv3566c	67	G	R
+Isoniazid	nhoA	Rv3566c	207	G	E
+Kanamycin	rrs	Rvnr01	1401	A	G
+Kanamycin	rrs	Rvnr01	1402	C	A
+Kanamycin	rrs	Rvnr01	1402	C	T
+Kanamycin	rrs	Rvnr01	1484	G	T
+Kanamycin	tlyA	Rv1694	3	R	*
+Kanamycin	tlyA	Rv1694	7	X	*
+Kanamycin	tlyA	Rv1694	8	X	*
+Kanamycin	tlyA	Rv1694	14	R	W
+Kanamycin	tlyA	Rv1694	18	R	*
+Kanamycin	tlyA	Rv1694	22	Q	*
+Kanamycin	tlyA	Rv1694	23	X	A
+Kanamycin	tlyA	Rv1694	67	A	E
+Kanamycin	tlyA	Rv1694	69	K	E
+Kanamycin	tlyA	Rv1694	72	X	*
+Kanamycin	tlyA	Rv1694	91	A	E
+Kanamycin	tlyA	Rv1694	103	X	*
+Kanamycin	tlyA	Rv1694	118	L	P
+Kanamycin	tlyA	Rv1694	128	V	E
+Kanamycin	tlyA	Rv1694	132	X	*
+Kanamycin	tlyA	Rv1694	133	X	*
+Kanamycin	tlyA	Rv1694	150	L	P
+Kanamycin	tlyA	Rv1694	159	X	*
+Kanamycin	tlyA	Rv1694	183	P	L
+Kanamycin	tlyA	Rv1694	184	Q	*
+Kanamycin	tlyA	Rv1694	185	F	L
+Kanamycin	tlyA	Rv1694	195	X	*
+Kanamycin	tlyA	Rv1694	217	X	*
+Kanamycin	tlyA	Rv1694	218	X	*
+Kanamycin	tlyA	Rv1694	224	X	*
+Kanamycin	tlyA	Rv1694	236	N	K
+Kanamycin	tlyA	Rv1694	238	E	K
+Kanamycin	tlyA	Rv1694	252	X	*
+Levofloxacin	gyrA	Rv0006	74	A	S
+Levofloxacin	gyrA	Rv0006	80	T	A
+Levofloxacin	gyrA	Rv0006	88	G	A
+Levofloxacin	gyrA	Rv0006	89	D	N
+Levofloxacin	gyrA	Rv0006	90	A	G
+Levofloxacin	gyrA	Rv0006	90	A	V
+Levofloxacin	gyrA	Rv0006	91	S	P
+Levofloxacin	gyrA	Rv0006	94	D	A
+Levofloxacin	gyrA	Rv0006	94	D	F
+Levofloxacin	gyrA	Rv0006	94	D	G
+Levofloxacin	gyrA	Rv0006	94	D	H
+Levofloxacin	gyrA	Rv0006	94	D	N
+Levofloxacin	gyrA	Rv0006	94	D	V
+Levofloxacin	gyrA	Rv0006	94	D	Y
+Levofloxacin	gyrA	Rv0006	95	S	T
+Levofloxacin	gyrA	Rv0006	102	P	H
+Levofloxacin	gyrA	Rv0006	109	L	V
+Levofloxacin	gyrB	Rv0005	457	R	C
+Levofloxacin	gyrB	Rv0005	458	S	F
+Levofloxacin	gyrB	Rv0005	472	D	A
+Levofloxacin	gyrB	Rv0005	472	D	H
+Levofloxacin	gyrB	Rv0005	472	D	N
+Levofloxacin	gyrB	Rv0005	481	G	A
+Levofloxacin	gyrB	Rv0005	505	D	A
+Levofloxacin	gyrB	Rv0005	510	N	D
+Levofloxacin	gyrB	Rv0005	510	N	T
+Levofloxacin	gyrB	Rv0005	510	Q	K
+Levofloxacin	gyrB	Rv0005	511	T	P
+Levofloxacin	gyrB	Rv0005	512	E	D
+Levofloxacin	gyrB	Rv0005	512	E	V
+Levofloxacin	gyrB	Rv0005	515	A	T
+Levofloxacin	gyrB	Rv0005	515	A	V
+Levofloxacin	gyrB	Rv0005	549	Q	H
+Moxifloxacin	gyrA	Rv0006	74	A	S
+Moxifloxacin	gyrA	Rv0006	80	T	A
+Moxifloxacin	gyrA	Rv0006	88	G	A
+Moxifloxacin	gyrA	Rv0006	89	D	N
+Moxifloxacin	gyrA	Rv0006	90	A	G
+Moxifloxacin	gyrA	Rv0006	90	A	V
+Moxifloxacin	gyrA	Rv0006	91	S	P
+Moxifloxacin	gyrA	Rv0006	94	D	A
+Moxifloxacin	gyrA	Rv0006	94	D	F
+Moxifloxacin	gyrA	Rv0006	94	D	G
+Moxifloxacin	gyrA	Rv0006	94	D	H
+Moxifloxacin	gyrA	Rv0006	94	D	N
+Moxifloxacin	gyrA	Rv0006	94	D	V
+Moxifloxacin	gyrA	Rv0006	94	D	Y
+Moxifloxacin	gyrA	Rv0006	95	S	T
+Moxifloxacin	gyrA	Rv0006	102	P	H
+Moxifloxacin	gyrA	Rv0006	109	L	V
+Moxifloxacin	gyrB	Rv0005	457	R	C
+Moxifloxacin	gyrB	Rv0005	458	S	F
+Moxifloxacin	gyrB	Rv0005	472	D	A
+Moxifloxacin	gyrB	Rv0005	472	D	H
+Moxifloxacin	gyrB	Rv0005	472	D	N
+Moxifloxacin	gyrB	Rv0005	481	G	A
+Moxifloxacin	gyrB	Rv0005	505	D	A
+Moxifloxacin	gyrB	Rv0005	510	N	D
+Moxifloxacin	gyrB	Rv0005	510	N	T
+Moxifloxacin	gyrB	Rv0005	510	Q	K
+Moxifloxacin	gyrB	Rv0005	511	T	P
+Moxifloxacin	gyrB	Rv0005	512	E	D
+Moxifloxacin	gyrB	Rv0005	512	E	V
+Moxifloxacin	gyrB	Rv0005	515	A	T
+Moxifloxacin	gyrB	Rv0005	515	A	V
+Moxifloxacin	gyrB	Rv0005	549	Q	H
+Ofloxacin	gyrA	Rv0006	74	A	S
+Ofloxacin	gyrA	Rv0006	80	T	A
+Ofloxacin	gyrA	Rv0006	88	G	A
+Ofloxacin	gyrA	Rv0006	89	D	N
+Ofloxacin	gyrA	Rv0006	90	A	G
+Ofloxacin	gyrA	Rv0006	90	A	V
+Ofloxacin	gyrA	Rv0006	91	S	P
+Ofloxacin	gyrA	Rv0006	94	D	A
+Ofloxacin	gyrA	Rv0006	94	D	F
+Ofloxacin	gyrA	Rv0006	94	D	G
+Ofloxacin	gyrA	Rv0006	94	D	H
+Ofloxacin	gyrA	Rv0006	94	D	N
+Ofloxacin	gyrA	Rv0006	94	D	V
+Ofloxacin	gyrA	Rv0006	94	D	Y
+Ofloxacin	gyrA	Rv0006	95	S	T
+Ofloxacin	gyrA	Rv0006	102	P	H
+Ofloxacin	gyrA	Rv0006	109	L	V
+Ofloxacin	gyrB	Rv0005	457	R	C
+Ofloxacin	gyrB	Rv0005	458	S	F
+Ofloxacin	gyrB	Rv0005	472	D	A
+Ofloxacin	gyrB	Rv0005	472	D	H
+Ofloxacin	gyrB	Rv0005	472	D	N
+Ofloxacin	gyrB	Rv0005	481	G	A
+Ofloxacin	gyrB	Rv0005	505	D	A
+Ofloxacin	gyrB	Rv0005	510	N	D
+Ofloxacin	gyrB	Rv0005	510	N	T
+Ofloxacin	gyrB	Rv0005	510	Q	K
+Ofloxacin	gyrB	Rv0005	511	T	P
+Ofloxacin	gyrB	Rv0005	512	E	D
+Ofloxacin	gyrB	Rv0005	512	E	V
+Ofloxacin	gyrB	Rv0005	515	A	T
+Ofloxacin	gyrB	Rv0005	515	A	V
+Ofloxacin	gyrB	Rv0005	549	Q	H
+Para-Aminosalisylic_acid	thyA	Rv2764c	202	T	A
+Para-Aminosalisylic_acid	thyA	Rv2764c	222	R	G
+Pyrazinamide	pncA	Rv2043c	-12	T	G
+Pyrazinamide	pncA	Rv2043c	-11	A	C
+Pyrazinamide	pncA	Rv2043c	-11	A	G
+Pyrazinamide	pncA	Rv2043c	-7	T	C
+Pyrazinamide	pncA	Rv2043c	1	M	I
+Pyrazinamide	pncA	Rv2043c	1	M	T
+Pyrazinamide	pncA	Rv2043c	1	X	*
+Pyrazinamide	pncA	Rv2043c	3	A	E
+Pyrazinamide	pncA	Rv2043c	3	A	P
+Pyrazinamide	pncA	Rv2043c	4	L	S
+Pyrazinamide	pncA	Rv2043c	4	L	W
+Pyrazinamide	pncA	Rv2043c	5	I	S
+Pyrazinamide	pncA	Rv2043c	7	V	D
+Pyrazinamide	pncA	Rv2043c	7	V	F
+Pyrazinamide	pncA	Rv2043c	7	V	G
+Pyrazinamide	pncA	Rv2043c	7	V	I
+Pyrazinamide	pncA	Rv2043c	8	D	E
+Pyrazinamide	pncA	Rv2043c	8	D	G
+Pyrazinamide	pncA	Rv2043c	8	D	Y
+Pyrazinamide	pncA	Rv2043c	9	V	A
+Pyrazinamide	pncA	Rv2043c	9	V	G
+Pyrazinamide	pncA	Rv2043c	9	V	L
+Pyrazinamide	pncA	Rv2043c	9	V	S
+Pyrazinamide	pncA	Rv2043c	10	Q	*
+Pyrazinamide	pncA	Rv2043c	10	Q	K
+Pyrazinamide	pncA	Rv2043c	10	Q	P
+Pyrazinamide	pncA	Rv2043c	10	Q	R
+Pyrazinamide	pncA	Rv2043c	10	X	*
+Pyrazinamide	pncA	Rv2043c	12	D	A
+Pyrazinamide	pncA	Rv2043c	12	D	N
+Pyrazinamide	pncA	Rv2043c	13	F	S
+Pyrazinamide	pncA	Rv2043c	14	C	H
+Pyrazinamide	pncA	Rv2043c	14	C	R
+Pyrazinamide	pncA	Rv2043c	14	C	Y
+Pyrazinamide	pncA	Rv2043c	16	X	*
+Pyrazinamide	pncA	Rv2043c	17	G	D
+Pyrazinamide	pncA	Rv2043c	17	G	V
+Pyrazinamide	pncA	Rv2043c	17	X	*
+Pyrazinamide	pncA	Rv2043c	19	L	P
+Pyrazinamide	pncA	Rv2043c	19	L	R
+Pyrazinamide	pncA	Rv2043c	20	X	*
+Pyrazinamide	pncA	Rv2043c	21	V	G
+Pyrazinamide	pncA	Rv2043c	22	X	*
+Pyrazinamide	pncA	Rv2043c	23	G	V
+Pyrazinamide	pncA	Rv2043c	24	X	*
+Pyrazinamide	pncA	Rv2043c	25	A	E
+Pyrazinamide	pncA	Rv2043c	26	A	G
+Pyrazinamide	pncA	Rv2043c	28	A	D
+Pyrazinamide	pncA	Rv2043c	28	X	*
+Pyrazinamide	pncA	Rv2043c	29	X	*
+Pyrazinamide	pncA	Rv2043c	32	X	*
+Pyrazinamide	pncA	Rv2043c	33	X	*
+Pyrazinamide	pncA	Rv2043c	34	X	*
+Pyrazinamide	pncA	Rv2043c	34	Y	S
+Pyrazinamide	pncA	Rv2043c	35	L	P
+Pyrazinamide	pncA	Rv2043c	35	L	R
+Pyrazinamide	pncA	Rv2043c	35	X	*
+Pyrazinamide	pncA	Rv2043c	37	E	*
+Pyrazinamide	pncA	Rv2043c	41	Y	*
+Pyrazinamide	pncA	Rv2043c	41	Y	H
+Pyrazinamide	pncA	Rv2043c	43	H	P
+Pyrazinamide	pncA	Rv2043c	45	V	G
+Pyrazinamide	pncA	Rv2043c	46	A	E
+Pyrazinamide	pncA	Rv2043c	46	A	P
+Pyrazinamide	pncA	Rv2043c	46	A	V
+Pyrazinamide	pncA	Rv2043c	46	X	*
+Pyrazinamide	pncA	Rv2043c	47	T	A
+Pyrazinamide	pncA	Rv2043c	47	T	P
+Pyrazinamide	pncA	Rv2043c	47	T	S
+Pyrazinamide	pncA	Rv2043c	49	D	A
+Pyrazinamide	pncA	Rv2043c	49	D	G
+Pyrazinamide	pncA	Rv2043c	49	D	H
+Pyrazinamide	pncA	Rv2043c	49	D	V
+Pyrazinamide	pncA	Rv2043c	50	X	*
+Pyrazinamide	pncA	Rv2043c	51	H	N
+Pyrazinamide	pncA	Rv2043c	51	H	P
+Pyrazinamide	pncA	Rv2043c	51	H	Q
+Pyrazinamide	pncA	Rv2043c	51	H	R
+Pyrazinamide	pncA	Rv2043c	51	H	Y
+Pyrazinamide	pncA	Rv2043c	53	D	A
+Pyrazinamide	pncA	Rv2043c	53	D	N
+Pyrazinamide	pncA	Rv2043c	53	X	*
+Pyrazinamide	pncA	Rv2043c	54	P	L
+Pyrazinamide	pncA	Rv2043c	54	P	T
+Pyrazinamide	pncA	Rv2043c	54	X	*
+Pyrazinamide	pncA	Rv2043c	57	H	D
+Pyrazinamide	pncA	Rv2043c	57	H	L
+Pyrazinamide	pncA	Rv2043c	57	H	P
+Pyrazinamide	pncA	Rv2043c	57	H	Y
+Pyrazinamide	pncA	Rv2043c	58	F	L
+Pyrazinamide	pncA	Rv2043c	58	X	*
+Pyrazinamide	pncA	Rv2043c	59	S	P
+Pyrazinamide	pncA	Rv2043c	61	T	P
+Pyrazinamide	pncA	Rv2043c	62	P	H
+Pyrazinamide	pncA	Rv2043c	62	P	L
+Pyrazinamide	pncA	Rv2043c	62	P	R
+Pyrazinamide	pncA	Rv2043c	63	D	G
+Pyrazinamide	pncA	Rv2043c	63	D	H
+Pyrazinamide	pncA	Rv2043c	64	X	*
+Pyrazinamide	pncA	Rv2043c	64	Y	D
+Pyrazinamide	pncA	Rv2043c	65	X	*
+Pyrazinamide	pncA	Rv2043c	66	S	P
+Pyrazinamide	pncA	Rv2043c	67	S	P
+Pyrazinamide	pncA	Rv2043c	68	W	*
+Pyrazinamide	pncA	Rv2043c	68	W	G
+Pyrazinamide	pncA	Rv2043c	68	W	L
+Pyrazinamide	pncA	Rv2043c	68	W	R
+Pyrazinamide	pncA	Rv2043c	68	W	S
+Pyrazinamide	pncA	Rv2043c	69	P	L
+Pyrazinamide	pncA	Rv2043c	69	P	R
+Pyrazinamide	pncA	Rv2043c	71	H	D
+Pyrazinamide	pncA	Rv2043c	71	H	E
+Pyrazinamide	pncA	Rv2043c	71	H	R
+Pyrazinamide	pncA	Rv2043c	71	H	Y
+Pyrazinamide	pncA	Rv2043c	71	X	*
+Pyrazinamide	pncA	Rv2043c	72	C	R
+Pyrazinamide	pncA	Rv2043c	72	C	W
+Pyrazinamide	pncA	Rv2043c	72	C	Y
+Pyrazinamide	pncA	Rv2043c	72	X	*
+Pyrazinamide	pncA	Rv2043c	73	X	*
+Pyrazinamide	pncA	Rv2043c	74	X	*
+Pyrazinamide	pncA	Rv2043c	75	M	T
+Pyrazinamide	pncA	Rv2043c	76	T	I
+Pyrazinamide	pncA	Rv2043c	76	T	P
+Pyrazinamide	pncA	Rv2043c	78	G	D
+Pyrazinamide	pncA	Rv2043c	79	A	G
+Pyrazinamide	pncA	Rv2043c	79	X	*
+Pyrazinamide	pncA	Rv2043c	80	F	V
+Pyrazinamide	pncA	Rv2043c	80	X	*
+Pyrazinamide	pncA	Rv2043c	82	H	D
+Pyrazinamide	pncA	Rv2043c	82	H	L
+Pyrazinamide	pncA	Rv2043c	82	H	R
+Pyrazinamide	pncA	Rv2043c	82	H	Y
+Pyrazinamide	pncA	Rv2043c	83	X	*
+Pyrazinamide	pncA	Rv2043c	85	L	P
+Pyrazinamide	pncA	Rv2043c	85	L	R
+Pyrazinamide	pncA	Rv2043c	87	T	M
+Pyrazinamide	pncA	Rv2043c	88	S	*
+Pyrazinamide	pncA	Rv2043c	90	I	S
+Pyrazinamide	pncA	Rv2043c	94	F	P
+Pyrazinamide	pncA	Rv2043c	94	X	*
+Pyrazinamide	pncA	Rv2043c	95	X	*
+Pyrazinamide	pncA	Rv2043c	95	Y	*
+Pyrazinamide	pncA	Rv2043c	96	K	E
+Pyrazinamide	pncA	Rv2043c	96	K	N
+Pyrazinamide	pncA	Rv2043c	96	K	Q
+Pyrazinamide	pncA	Rv2043c	96	K	T
+Pyrazinamide	pncA	Rv2043c	96	X	*
+Pyrazinamide	pncA	Rv2043c	97	G	D
+Pyrazinamide	pncA	Rv2043c	97	G	S
+Pyrazinamide	pncA	Rv2043c	99	Y	*
+Pyrazinamide	pncA	Rv2043c	100	X	*
+Pyrazinamide	pncA	Rv2043c	102	A	T
+Pyrazinamide	pncA	Rv2043c	102	A	V
+Pyrazinamide	pncA	Rv2043c	102	X	*
+Pyrazinamide	pncA	Rv2043c	103	Y	*
+Pyrazinamide	pncA	Rv2043c	103	Y	C
+Pyrazinamide	pncA	Rv2043c	103	Y	H
+Pyrazinamide	pncA	Rv2043c	103	Y	S
+Pyrazinamide	pncA	Rv2043c	104	S	R
+Pyrazinamide	pncA	Rv2043c	104	X	*
+Pyrazinamide	pncA	Rv2043c	107	G	K
+Pyrazinamide	pncA	Rv2043c	113	X	*
+Pyrazinamide	pncA	Rv2043c	114	T	P
+Pyrazinamide	pncA	Rv2043c	114	X	*
+Pyrazinamide	pncA	Rv2043c	116	L	R
+Pyrazinamide	pncA	Rv2043c	116	L	V
+Pyrazinamide	pncA	Rv2043c	118	N	T
+Pyrazinamide	pncA	Rv2043c	119	W	*
+Pyrazinamide	pncA	Rv2043c	119	W	C
+Pyrazinamide	pncA	Rv2043c	119	W	R
+Pyrazinamide	pncA	Rv2043c	120	L	P
+Pyrazinamide	pncA	Rv2043c	121	R	P
+Pyrazinamide	pncA	Rv2043c	122	X	*
+Pyrazinamide	pncA	Rv2043c	123	X	*
+Pyrazinamide	pncA	Rv2043c	125	V	D
+Pyrazinamide	pncA	Rv2043c	125	V	G
+Pyrazinamide	pncA	Rv2043c	126	X	*
+Pyrazinamide	pncA	Rv2043c	127	X	*
+Pyrazinamide	pncA	Rv2043c	128	V	G
+Pyrazinamide	pncA	Rv2043c	128	X	*
+Pyrazinamide	pncA	Rv2043c	129	X	*
+Pyrazinamide	pncA	Rv2043c	129	X	E
+Pyrazinamide	pncA	Rv2043c	129	X	R
+Pyrazinamide	pncA	Rv2043c	130	V	G
+Pyrazinamide	pncA	Rv2043c	130	X	*
+Pyrazinamide	pncA	Rv2043c	131	X	*
+Pyrazinamide	pncA	Rv2043c	132	G	D
+Pyrazinamide	pncA	Rv2043c	132	G	S
+Pyrazinamide	pncA	Rv2043c	132	X	*
+Pyrazinamide	pncA	Rv2043c	133	I	N
+Pyrazinamide	pncA	Rv2043c	133	I	T
+Pyrazinamide	pncA	Rv2043c	134	A	V
+Pyrazinamide	pncA	Rv2043c	134	X	*
+Pyrazinamide	pncA	Rv2043c	135	T	P
+Pyrazinamide	pncA	Rv2043c	135	X	*
+Pyrazinamide	pncA	Rv2043c	136	D	G
+Pyrazinamide	pncA	Rv2043c	136	D	H
+Pyrazinamide	pncA	Rv2043c	136	D	N
+Pyrazinamide	pncA	Rv2043c	136	D	Y
+Pyrazinamide	pncA	Rv2043c	136	X	*
+Pyrazinamide	pncA	Rv2043c	137	H	P
+Pyrazinamide	pncA	Rv2043c	137	H	R
+Pyrazinamide	pncA	Rv2043c	138	C	S
+Pyrazinamide	pncA	Rv2043c	138	C	Y
+Pyrazinamide	pncA	Rv2043c	138	X	*
+Pyrazinamide	pncA	Rv2043c	139	V	A
+Pyrazinamide	pncA	Rv2043c	139	V	G
+Pyrazinamide	pncA	Rv2043c	139	V	L
+Pyrazinamide	pncA	Rv2043c	139	V	M
+Pyrazinamide	pncA	Rv2043c	139	X	*
+Pyrazinamide	pncA	Rv2043c	140	R	S
+Pyrazinamide	pncA	Rv2043c	140	X	*
+Pyrazinamide	pncA	Rv2043c	141	Q	*
+Pyrazinamide	pncA	Rv2043c	141	Q	P
+Pyrazinamide	pncA	Rv2043c	142	T	A
+Pyrazinamide	pncA	Rv2043c	142	T	K
+Pyrazinamide	pncA	Rv2043c	142	T	M
+Pyrazinamide	pncA	Rv2043c	142	T	P
+Pyrazinamide	pncA	Rv2043c	142	X	*
+Pyrazinamide	pncA	Rv2043c	143	X	*
+Pyrazinamide	pncA	Rv2043c	145	X	*
+Pyrazinamide	pncA	Rv2043c	146	A	T
+Pyrazinamide	pncA	Rv2043c	146	A	V
+Pyrazinamide	pncA	Rv2043c	147	X	*
+Pyrazinamide	pncA	Rv2043c	148	R	S
+Pyrazinamide	pncA	Rv2043c	148	X	*
+Pyrazinamide	pncA	Rv2043c	149	X	*
+Pyrazinamide	pncA	Rv2043c	150	X	*
+Pyrazinamide	pncA	Rv2043c	151	X	*
+Pyrazinamide	pncA	Rv2043c	153	T	N
+Pyrazinamide	pncA	Rv2043c	154	R	G
+Pyrazinamide	pncA	Rv2043c	155	V	A
+Pyrazinamide	pncA	Rv2043c	155	V	G
+Pyrazinamide	pncA	Rv2043c	155	X	*
+Pyrazinamide	pncA	Rv2043c	158	X	*
+Pyrazinamide	pncA	Rv2043c	159	L	P
+Pyrazinamide	pncA	Rv2043c	159	L	R
+Pyrazinamide	pncA	Rv2043c	160	T	P
+Pyrazinamide	pncA	Rv2043c	160	X	*
+Pyrazinamide	pncA	Rv2043c	161	A	P
+Pyrazinamide	pncA	Rv2043c	162	G	D
+Pyrazinamide	pncA	Rv2043c	167	X	*
+Pyrazinamide	pncA	Rv2043c	168	T	N
+Pyrazinamide	pncA	Rv2043c	170	X	*
+Pyrazinamide	pncA	Rv2043c	171	A	E
+Pyrazinamide	pncA	Rv2043c	171	A	P
+Pyrazinamide	pncA	Rv2043c	171	A	T
+Pyrazinamide	pncA	Rv2043c	171	A	V
+Pyrazinamide	pncA	Rv2043c	171	X	*
+Pyrazinamide	pncA	Rv2043c	172	L	A
+Pyrazinamide	pncA	Rv2043c	172	L	P
+Pyrazinamide	pncA	Rv2043c	172	X	*
+Pyrazinamide	pncA	Rv2043c	173	X	*
+Pyrazinamide	pncA	Rv2043c	175	M	V
+Pyrazinamide	pncA	Rv2043c	177	X	*
+Pyrazinamide	pncA	Rv2043c	179	S	R
+Pyrazinamide	pncA	Rv2043c	180	V	F
+Pyrazinamide	pncA	Rv2043c	181	E	D
+Pyrazinamide	pncA	Rv2043c	182	L	S
+Pyrazinamide	pncA	Rv2043c	185	S	I
+Pyrazinamide	pncA	Rv2043c	185	S	T
+Rifampicin	rpoB	Rv0667	65	V	F
+Rifampicin	rpoB	Rv0667	300	A	V
+Rifampicin	rpoB	Rv0667	409	Q	H
+Rifampicin	rpoB	Rv0667	423	E	A
+Rifampicin	rpoB	Rv0667	424	F	L
+Rifampicin	rpoB	Rv0667	424	F	S
+Rifampicin	rpoB	Rv0667	426	G	D
+Rifampicin	rpoB	Rv0667	426	G	S
+Rifampicin	rpoB	Rv0667	426	X	G
+Rifampicin	rpoB	Rv0667	427	T	A
+Rifampicin	rpoB	Rv0667	427	T	H
+Rifampicin	rpoB	Rv0667	427	T	P
+Rifampicin	rpoB	Rv0667	427	T	S
+Rifampicin	rpoB	Rv0667	428	S	Q
+Rifampicin	rpoB	Rv0667	428	S	R
+Rifampicin	rpoB	Rv0667	428	S	T
+Rifampicin	rpoB	Rv0667	429	Q	H
+Rifampicin	rpoB	Rv0667	429	Q	K
+Rifampicin	rpoB	Rv0667	430	L	P
+Rifampicin	rpoB	Rv0667	430	L	R
+Rifampicin	rpoB	Rv0667	430	L	V
+Rifampicin	rpoB	Rv0667	431	S	G
+Rifampicin	rpoB	Rv0667	431	S	I
+Rifampicin	rpoB	Rv0667	431	S	R
+Rifampicin	rpoB	Rv0667	431	S	T
+Rifampicin	rpoB	Rv0667	432	Q	*
+Rifampicin	rpoB	Rv0667	432	Q	E
+Rifampicin	rpoB	Rv0667	432	Q	H
+Rifampicin	rpoB	Rv0667	432	Q	K
+Rifampicin	rpoB	Rv0667	432	Q	L
+Rifampicin	rpoB	Rv0667	432	Q	N
+Rifampicin	rpoB	Rv0667	432	Q	P
+Rifampicin	rpoB	Rv0667	432	Q	R
+Rifampicin	rpoB	Rv0667	432	X	F
+Rifampicin	rpoB	Rv0667	432	X	Q
+Rifampicin	rpoB	Rv0667	433	F	L
+Rifampicin	rpoB	Rv0667	433	F	V
+Rifampicin	rpoB	Rv0667	433	X	F
+Rifampicin	rpoB	Rv0667	433	X	R
+Rifampicin	rpoB	Rv0667	434	M	I
+Rifampicin	rpoB	Rv0667	434	X	F
+Rifampicin	rpoB	Rv0667	434	X	M
+Rifampicin	rpoB	Rv0667	435	D	A
+Rifampicin	rpoB	Rv0667	435	D	E
+Rifampicin	rpoB	Rv0667	435	D	F
+Rifampicin	rpoB	Rv0667	435	D	G
+Rifampicin	rpoB	Rv0667	435	D	H
+Rifampicin	rpoB	Rv0667	435	D	N
+Rifampicin	rpoB	Rv0667	435	D	V
+Rifampicin	rpoB	Rv0667	435	D	Y
+Rifampicin	rpoB	Rv0667	435	X	D
+Rifampicin	rpoB	Rv0667	436	Q	H
+Rifampicin	rpoB	Rv0667	436	Q	L
+Rifampicin	rpoB	Rv0667	436	X	Q
+Rifampicin	rpoB	Rv0667	437	N	D
+Rifampicin	rpoB	Rv0667	437	N	H
+Rifampicin	rpoB	Rv0667	437	N	I
+Rifampicin	rpoB	Rv0667	437	N	T
+Rifampicin	rpoB	Rv0667	437	N	Y
+Rifampicin	rpoB	Rv0667	438	N	K
+Rifampicin	rpoB	Rv0667	438	X	N
+Rifampicin	rpoB	Rv0667	440	L	L
+Rifampicin	rpoB	Rv0667	440	L	M
+Rifampicin	rpoB	Rv0667	440	L	P
+Rifampicin	rpoB	Rv0667	441	S	L
+Rifampicin	rpoB	Rv0667	441	S	W
+Rifampicin	rpoB	Rv0667	442	G	A
+Rifampicin	rpoB	Rv0667	442	G	W
+Rifampicin	rpoB	Rv0667	443	L	S
+Rifampicin	rpoB	Rv0667	443	L	W
+Rifampicin	rpoB	Rv0667	444	T	I
+Rifampicin	rpoB	Rv0667	444	T	P
+Rifampicin	rpoB	Rv0667	445	H	C
+Rifampicin	rpoB	Rv0667	445	H	D
+Rifampicin	rpoB	Rv0667	445	H	F
+Rifampicin	rpoB	Rv0667	445	H	G
+Rifampicin	rpoB	Rv0667	445	H	L
+Rifampicin	rpoB	Rv0667	445	H	N
+Rifampicin	rpoB	Rv0667	445	H	P
+Rifampicin	rpoB	Rv0667	445	H	Q
+Rifampicin	rpoB	Rv0667	445	H	R
+Rifampicin	rpoB	Rv0667	445	H	S
+Rifampicin	rpoB	Rv0667	445	H	T
+Rifampicin	rpoB	Rv0667	445	H	Y
+Rifampicin	rpoB	Rv0667	446	K	N
+Rifampicin	rpoB	Rv0667	446	K	Q
+Rifampicin	rpoB	Rv0667	446	X	K
+Rifampicin	rpoB	Rv0667	447	R	H
+Rifampicin	rpoB	Rv0667	447	R	P
+Rifampicin	rpoB	Rv0667	450	S	C
+Rifampicin	rpoB	Rv0667	450	S	F
+Rifampicin	rpoB	Rv0667	450	S	L
+Rifampicin	rpoB	Rv0667	450	S	Q
+Rifampicin	rpoB	Rv0667	450	S	W
+Rifampicin	rpoB	Rv0667	450	S	Y
+Rifampicin	rpoB	Rv0667	452	L	P
+Rifampicin	rpoB	Rv0667	454	P	H
+Rifampicin	rpoB	Rv0667	454	P	S
+Rifampicin	rpoB	Rv0667	457	L	*
+Rifampicin	rpoB	Rv0667	457	L	P
+Rifampicin	rpoB	Rv0667	460	E	G
+Rifampicin	rpoB	Rv0667	464	L	M
+Rifampicin	rpoB	Rv0667	472	S	A
+Rifampicin	rpoB	Rv0667	480	I	T
+Rifampicin	rpoB	Rv0667	480	I	V
+Rifampicin	rpoB	Rv0667	490	L	V
+Rifampicin	rpoB	Rv0667	541	S	A
+Rifampicin	rpoB	Rv0667	552	R	C
+Rifampicin	rpoB	Rv0667	591	E	D
+Streptomycin	gid	Rv3919c	16	L	R
+Streptomycin	gid	Rv3919c	34	X	*
+Streptomycin	gid	Rv3919c	39	X	*
+Streptomycin	gid	Rv3919c	40	E	*
+Streptomycin	gid	Rv3919c	45	W	C
+Streptomycin	gid	Rv3919c	47	R	Q
+Streptomycin	gid	Rv3919c	55	I	S
+Streptomycin	gid	Rv3919c	67	D	H
+Streptomycin	gid	Rv3919c	70	S	R
+Streptomycin	gid	Rv3919c	71	G	V
+Streptomycin	gid	Rv3919c	75	P	A
+Streptomycin	gid	Rv3919c	92	E	D
+Streptomycin	gid	Rv3919c	103	E	*
+Streptomycin	gid	Rv3919c	117	X	*
+Streptomycin	gid	Rv3919c	125	Q	*
+Streptomycin	gid	Rv3919c	127	Q	P
+Streptomycin	gid	Rv3919c	134	A	E
+Streptomycin	gid	Rv3919c	138	A	E
+Streptomycin	gid	Rv3919c	148	W	R
+Streptomycin	gid	Rv3919c	183	A	E
+Streptomycin	gid	Rv3919c	188	V	G
+Streptomycin	gid	Rv3919c	200	A	E
+Streptomycin	rpsL	Rv0682	9	R	H
+Streptomycin	rpsL	Rv0682	40	T	I
+Streptomycin	rpsL	Rv0682	41	T	S
+Streptomycin	rpsL	Rv0682	43	K	R
+Streptomycin	rpsL	Rv0682	43	K	T
+Streptomycin	rpsL	Rv0682	51	K	N
+Streptomycin	rpsL	Rv0682	52	V	G
+Streptomycin	rpsL	Rv0682	84	G	V
+Streptomycin	rpsL	Rv0682	86	R	P
+Streptomycin	rpsL	Rv0682	86	R	W
+Streptomycin	rpsL	Rv0682	87	V	L
+Streptomycin	rpsL	Rv0682	88	K	M
+Streptomycin	rpsL	Rv0682	88	K	Q
+Streptomycin	rpsL	Rv0682	88	K	R
+Streptomycin	rpsL	Rv0682	88	K	T
+Streptomycin	rpsL	Rv0682	93	V	M
+Streptomycin	rrs	Rvnr01	190	G	A
+Streptomycin	rrs	Rvnr01	427	G	C
+Streptomycin	rrs	Rvnr01	427	G	T
+Streptomycin	rrs	Rvnr01	462	C	T
+Streptomycin	rrs	Rvnr01	492	C	T
+Streptomycin	rrs	Rvnr01	513	C	T
+Streptomycin	rrs	Rvnr01	514	A	C
+Streptomycin	rrs	Rvnr01	514	A	T
+Streptomycin	rrs	Rvnr01	517	C	T
+Streptomycin	rrs	Rvnr01	628	G	C
+Streptomycin	rrs	Rvnr01	799	C	T
+Streptomycin	rrs	Rvnr01	866	C	G
+Streptomycin	rrs	Rvnr01	888	G	A
+Streptomycin	rrs	Rvnr01	905	C	A
+Streptomycin	rrs	Rvnr01	905	C	G
+Streptomycin	rrs	Rvnr01	906	A	G
+Streptomycin	rrs	Rvnr01	907	A	C
+Streptomycin	rrs	Rvnr01	907	A	T
+Streptomycin	rrs	Rvnr01	908	A	G
+Streptomycin	rrs	Rvnr01	1239	T	C
+Streptomycin	rrs	Rvnr01	1401	A	G
diff --git a/datasets/mtu173/gold/gold_assocs_H.txt b/datasets/mtu173/gold/gold_assocs_H.txt
new file mode 100644
index 0000000..a023417
--- /dev/null
+++ b/datasets/mtu173/gold/gold_assocs_H.txt
@@ -0,0 +1,144 @@
+%Rifampicin
+>Rv0667
+432	Q	L
+435	D	Y,V
+441	S	L
+445	H	Y,R,D,L,N
+450	S	L,W
+452	L	P
+
+%Ciprofloxacin
+>Rv0006
+90	A	V
+91	S	P
+94	D	Y,H,A,G,N
+102	P	H
+126	A	R
+>Rv0005
+538	N	D
+
+%Isoniazid
+>Rv2428
+-46	G	A
+-39	C	T
+21	I	T
+>Rv2245
+269	G	S
+>Rv1908c
+279	G	D
+315	S	I,R,T,N
+>Rv1483
+-15	C	T
+-8	T	A,C
+
+%Moxifloxacin
+>Rv0006
+90	A	V
+91	S	P
+94	D	Y,H,A,G,N
+102	P	H
+126	A	R
+>Rv0005
+538	N	D
+
+%Pyrazinamide
+>Rv2043c
+-11	A	G
+7	V	G
+10	Q	P
+12	D	A
+14	C	R
+17	G	D
+19	L	P
+21	V	G
+34	Y	S
+35	L	R
+41	Y	*
+46	A	V
+47	T	A
+51	H	P,R
+54	P	T
+57	H	Y
+63	D	G
+66	S	P
+67	S	P
+68	W	R,L,G
+71	H	R
+72	C	R
+76	T	P
+82	H	R
+85	L	P
+96	K	N
+97	G	S
+99	Y	*
+102	A	V
+103	Y	*
+104	S	R
+114	T	P
+116	L	R
+121	R	P
+128	V	G
+130	V	*,G
+134	A	V
+137	H	R
+138	C	Y
+139	V	A,M,L
+140	R	S
+141	Q	P
+142	T	K
+155	V	G
+159	L	P
+160	T	P
+161	A	P
+162	G	D
+171	A	E
+172	L	P
+185	S	T
+
+%Levofloxacin
+>Rv0006
+90	A	V
+91	S	P
+94	D	Y,H,A,G,N
+102	P	H
+126	A	R
+>Rv0005
+538	N	D
+
+%Ethambutol
+>Rv3795
+306	M	I,L,V
+406	G	S,D
+497	Q	R
+
+%Fluoroquinolones
+>Rv0006
+90	A	V
+91	S	P
+94	D	Y,H,A,G,N
+102	P	H
+126	A	R
+>Rv0005
+538	N	D
+
+%Streptomycin
+>Rv0682
+43	K	R
+88	K	Q,R
+>Rvnr01
+492	C	T
+513	C	T
+514	A	C,T
+517	C	T
+907	A	C
+
+%Ofloxacin
+>Rv0006
+90	A	V
+91	S	P
+94	D	Y,H,A,G,N
+102	P	H
+126	A	R
+>Rv0005
+538	N	D
+
diff --git a/datasets/mtu173/gold/gold_assocs_H_old.txt b/datasets/mtu173/gold/gold_assocs_H_old.txt
new file mode 100644
index 0000000..ab085e2
--- /dev/null
+++ b/datasets/mtu173/gold/gold_assocs_H_old.txt
@@ -0,0 +1,184 @@
+Fluoroquinolones	gyrA	Rv0006	90	A	V
+Fluoroquinolones	gyrA	Rv0006	91	S	P
+Fluoroquinolones	gyrA	Rv0006	94	D	A
+Fluoroquinolones	gyrA	Rv0006	94	D	G
+Fluoroquinolones	gyrA	Rv0006	94	D	H
+Fluoroquinolones	gyrA	Rv0006	94	D	N
+Fluoroquinolones	gyrA	Rv0006	94	D	Y
+Fluoroquinolones	gyrA	Rv0006	102	P	H
+Fluoroquinolones	gyrA	Rv0006	126	A	R
+Fluoroquinolones	gyrB	Rv0005	538	N	D
+Ciprofloxacin	gyrA	Rv0006	90	A	V
+Ciprofloxacin	gyrA	Rv0006	91	S	P
+Ciprofloxacin	gyrA	Rv0006	94	D	A
+Ciprofloxacin	gyrA	Rv0006	94	D	G
+Ciprofloxacin	gyrA	Rv0006	94	D	H
+Ciprofloxacin	gyrA	Rv0006	94	D	N
+Ciprofloxacin	gyrA	Rv0006	94	D	Y
+Ciprofloxacin	gyrA	Rv0006	102	P	H
+Ciprofloxacin	gyrA	Rv0006	126	A	R
+Ciprofloxacin	gyrB	Rv0005	538	N	D
+Fluoroquinolones2	gyrA	Rv0006	90	A	V
+Fluoroquinolones2	gyrA	Rv0006	91	S	P
+Fluoroquinolones2	gyrA	Rv0006	94	D	A
+Fluoroquinolones2	gyrA	Rv0006	94	D	G
+Fluoroquinolones2	gyrA	Rv0006	94	D	H
+Fluoroquinolones2	gyrA	Rv0006	94	D	N
+Fluoroquinolones2	gyrA	Rv0006	94	D	Y
+Fluoroquinolones2	gyrA	Rv0006	102	P	H
+Fluoroquinolones2	gyrA	Rv0006	126	A	R
+Fluoroquinolones2	gyrB	Rv0005	538	N	D
+Ethambutol	embB	Rv3795	306	M	I
+Ethambutol	embB	Rv3795	306	M	L
+Ethambutol	embB	Rv3795	306	M	V
+Ethambutol	embB	Rv3795	406	G	D
+Ethambutol	embB	Rv3795	406	G	S
+Ethambutol	embB	Rv3795	497	Q	R
+Isoniazid	ahpC	Rv2428	-46	G	A
+Isoniazid	ahpC	Rv2428	-39	C	T
+Isoniazid	ahpC	Rv2428	21	I	T
+Isoniazid	fabG1-inhA	Rv1483	-15	C	T
+Isoniazid	fabG1-inhA	Rv1483	-8	T	A
+Isoniazid	fabG1-inhA	Rv1483	-8	T	C
+Isoniazid	kasA	Rv2245	269	G	S
+Isoniazid	katG	Rv1908c	279	G	D
+Isoniazid	katG	Rv1908c	315	S	I
+Isoniazid	katG	Rv1908c	315	S	N
+Isoniazid	katG	Rv1908c	315	S	R
+Isoniazid	katG	Rv1908c	315	S	T
+Levofloxacin	gyrA	Rv0006	90	A	V
+Levofloxacin	gyrA	Rv0006	91	S	P
+Levofloxacin	gyrA	Rv0006	94	D	A
+Levofloxacin	gyrA	Rv0006	94	D	G
+Levofloxacin	gyrA	Rv0006	94	D	H
+Levofloxacin	gyrA	Rv0006	94	D	N
+Levofloxacin	gyrA	Rv0006	94	D	Y
+Levofloxacin	gyrA	Rv0006	102	P	H
+Levofloxacin	gyrA	Rv0006	126	A	R
+Levofloxacin	gyrB	Rv0005	538	N	D
+Moxifloxacin	gyrA	Rv0006	90	A	V
+Moxifloxacin	gyrA	Rv0006	91	S	P
+Moxifloxacin	gyrA	Rv0006	94	D	A
+Moxifloxacin	gyrA	Rv0006	94	D	G
+Moxifloxacin	gyrA	Rv0006	94	D	H
+Moxifloxacin	gyrA	Rv0006	94	D	N
+Moxifloxacin	gyrA	Rv0006	94	D	Y
+Moxifloxacin	gyrA	Rv0006	102	P	H
+Moxifloxacin	gyrA	Rv0006	126	A	R
+Moxifloxacin	gyrB	Rv0005	538	N	D
+Ofloxacin	gyrA	Rv0006	90	A	V
+Ofloxacin	gyrA	Rv0006	91	S	P
+Ofloxacin	gyrA	Rv0006	94	D	A
+Ofloxacin	gyrA	Rv0006	94	D	G
+Ofloxacin	gyrA	Rv0006	94	D	H
+Ofloxacin	gyrA	Rv0006	94	D	N
+Ofloxacin	gyrA	Rv0006	94	D	Y
+Ofloxacin	gyrA	Rv0006	102	P	H
+Ofloxacin	gyrA	Rv0006	126	A	R
+Ofloxacin	gyrB	Rv0005	538	N	D
+Pyrazinamide	pncA	Rv2043c	-11	A	G
+Pyrazinamide	pncA	Rv2043c	7	V	G
+Pyrazinamide	pncA	Rv2043c	10	Q	P
+Pyrazinamide	pncA	Rv2043c	12	D	A
+Pyrazinamide	pncA	Rv2043c	14	C	R
+Pyrazinamide	pncA	Rv2043c	17	G	D
+Pyrazinamide	pncA	Rv2043c	19	L	P
+Pyrazinamide	pncA	Rv2043c	21	V	G
+Pyrazinamide	pncA	Rv2043c	24	X	*
+Pyrazinamide	pncA	Rv2043c	26	X	*
+Pyrazinamide	pncA	Rv2043c	34	Y	S
+Pyrazinamide	pncA	Rv2043c	35	L	R
+Pyrazinamide	pncA	Rv2043c	41	Y	*
+Pyrazinamide	pncA	Rv2043c	44	X	*
+Pyrazinamide	pncA	Rv2043c	46	A	V
+Pyrazinamide	pncA	Rv2043c	47	T	A
+Pyrazinamide	pncA	Rv2043c	51	H	P
+Pyrazinamide	pncA	Rv2043c	51	H	R
+Pyrazinamide	pncA	Rv2043c	54	P	T
+Pyrazinamide	pncA	Rv2043c	57	H	Y
+Pyrazinamide	pncA	Rv2043c	58	X	*
+Pyrazinamide	pncA	Rv2043c	61	X	*
+Pyrazinamide	pncA	Rv2043c	63	D	G
+Pyrazinamide	pncA	Rv2043c	66	S	P
+Pyrazinamide	pncA	Rv2043c	67	S	P
+Pyrazinamide	pncA	Rv2043c	68	W	G
+Pyrazinamide	pncA	Rv2043c	68	W	L
+Pyrazinamide	pncA	Rv2043c	68	W	R
+Pyrazinamide	pncA	Rv2043c	71	H	R
+Pyrazinamide	pncA	Rv2043c	72	C	R
+Pyrazinamide	pncA	Rv2043c	76	T	P
+Pyrazinamide	pncA	Rv2043c	82	H	R
+Pyrazinamide	pncA	Rv2043c	85	L	P
+Pyrazinamide	pncA	Rv2043c	96	K	N
+Pyrazinamide	pncA	Rv2043c	97	G	S
+Pyrazinamide	pncA	Rv2043c	99	Y	*
+Pyrazinamide	pncA	Rv2043c	102	A	V
+Pyrazinamide	pncA	Rv2043c	103	Y	*
+Pyrazinamide	pncA	Rv2043c	104	S	R
+Pyrazinamide	pncA	Rv2043c	105	X	*
+Pyrazinamide	pncA	Rv2043c	114	T	P
+Pyrazinamide	pncA	Rv2043c	116	L	R
+Pyrazinamide	pncA	Rv2043c	121	R	P
+Pyrazinamide	pncA	Rv2043c	128	V	G
+Pyrazinamide	pncA	Rv2043c	130	V	G
+Pyrazinamide	pncA	Rv2043c	130	X	*
+Pyrazinamide	pncA	Rv2043c	134	A	V
+Pyrazinamide	pncA	Rv2043c	137	H	R
+Pyrazinamide	pncA	Rv2043c	138	C	Y
+Pyrazinamide	pncA	Rv2043c	139	V	A
+Pyrazinamide	pncA	Rv2043c	139	V	L
+Pyrazinamide	pncA	Rv2043c	139	V	M
+Pyrazinamide	pncA	Rv2043c	140	R	S
+Pyrazinamide	pncA	Rv2043c	141	Q	P
+Pyrazinamide	pncA	Rv2043c	142	T	K
+Pyrazinamide	pncA	Rv2043c	149	X	*
+Pyrazinamide	pncA	Rv2043c	155	V	G
+Pyrazinamide	pncA	Rv2043c	159	L	P
+Pyrazinamide	pncA	Rv2043c	160	T	P
+Pyrazinamide	pncA	Rv2043c	161	A	P
+Pyrazinamide	pncA	Rv2043c	162	G	D
+Pyrazinamide	pncA	Rv2043c	171	A	E
+Pyrazinamide	pncA	Rv2043c	172	L	P
+Pyrazinamide	pncA	Rv2043c	185	S	T
+Rifampicin	rpoB	Rv0667	432	Q	L
+Rifampicin	rpoB	Rv0667	435	D	V
+Rifampicin	rpoB	Rv0667	435	D	Y
+Rifampicin	rpoB	Rv0667	441	S	L
+Rifampicin	rpoB	Rv0667	445	H	D
+Rifampicin	rpoB	Rv0667	445	H	L
+Rifampicin	rpoB	Rv0667	445	H	N
+Rifampicin	rpoB	Rv0667	445	H	R
+Rifampicin	rpoB	Rv0667	445	H	Y
+Rifampicin	rpoB	Rv0667	450	S	L
+Rifampicin	rpoB	Rv0667	450	S	W
+Rifampicin	rpoB	Rv0667	452	L	P
+Rifampicin2	rpoB	Rv0667	432	Q	L
+Rifampicin2	rpoB	Rv0667	435	D	V
+Rifampicin2	rpoB	Rv0667	435	D	Y
+Rifampicin2	rpoB	Rv0667	441	S	L
+Rifampicin2	rpoB	Rv0667	445	H	D
+Rifampicin2	rpoB	Rv0667	445	H	L
+Rifampicin2	rpoB	Rv0667	445	H	N
+Rifampicin2	rpoB	Rv0667	445	H	R
+Rifampicin2	rpoB	Rv0667	445	H	Y
+Rifampicin2	rpoB	Rv0667	450	S	L
+Rifampicin2	rpoB	Rv0667	450	S	W
+Rifampicin2	rpoB	Rv0667	452	L	P
+Streptomycin	rpsL	Rv0682	43	K	R
+Streptomycin	rpsL	Rv0682	88	K	Q
+Streptomycin	rpsL	Rv0682	88	K	R
+Streptomycin	rrs	Rvnr01	492	C	T
+Streptomycin	rrs	Rvnr01	513	C	T
+Streptomycin	rrs	Rvnr01	514	A	C
+Streptomycin	rrs	Rvnr01	514	A	T
+Streptomycin	rrs	Rvnr01	517	C	T
+Streptomycin	rrs	Rvnr01	907	A	C
+Aminoglycosides2	rpsL	Rv0682	43	K	R
+Aminoglycosides2	rpsL	Rv0682	88	K	Q
+Aminoglycosides2	rpsL	Rv0682	88	K	R
+Aminoglycosides2	rrs	Rvnr01	492	C	T
+Aminoglycosides2	rrs	Rvnr01	513	C	T
+Aminoglycosides2	rrs	Rvnr01	514	A	C
+Aminoglycosides2	rrs	Rvnr01	514	A	T
+Aminoglycosides2	rrs	Rvnr01	517	C	T
+Aminoglycosides2	rrs	Rvnr01	907	A	C
diff --git a/datasets/mtu173/input/cluster_gene_ref_ids.txt b/datasets/mtu173/input/cluster_gene_ref_ids.txt
new file mode 100644
index 0000000..5892f02
--- /dev/null
+++ b/datasets/mtu173/input/cluster_gene_ref_ids.txt
@@ -0,0 +1,4016 @@
+cluster_id	gene_name	H37Rv	H37Ra
+1818	dnaA	Rv0001	MRA_0001
+3541	dnaN	Rv0002	MRA_0002
+2001	recF	Rv0003	MRA_0003
+903	x	Rv0004	MRA_0004
+1084	gyrB	Rv0005	MRA_0005
+2279	gyrA	Rv0006	MRA_0006
+674	x	Rv0007	MRA_0007
+2956	x	Rv0008c	MRA_0008
+4123	ppiA	Rv0009	MRA_0009
+980	x	Rv0010c	MRA_0010
+2433	x	Rv0011c	MRA_0013
+2624	x	Rv0012	MRA_0014
+2080	trpG	Rv0013	MRA_0015
+3026	pknB	Rv0014c	MRA_0016
+847	pknA	Rv0015c	MRA_0017
+1152	pbpA	Rv0016c	MRA_0018
+1766	rodA	Rv0017c	MRA_0019
+3575	ppp	Rv0018c	MRA_0020
+5807	x	Rv0019c	MRA_0021
+655	TB39.8	Rv0020c	MRA_0022
+796	x	Rv0021c	MRA_0023
+5789	whiB5	Rv0022c	MRA_0025
+2652	x	Rv0023	MRA_0026
+6387	x	Rv0024	MRA_0027
+4525	x	Rv0025	MRA_0028
+781	x	Rv0026	MRA_0029
+6127	x	Rv0027	MRA_0030
+1463	x	Rv0028	MRA_0031
+3194	x	Rv0029	MRA_0032
+3222	x	Rv0030	MRA_0033
+5971	x	Rv0031	MRA_0034
+217	bioF2	Rv0032	MRA_0035
+5151	acpA	Rv0033	MRA_0036
+1694	x	Rv0034	MRA_0037
+307	fadD34	Rv0035	MRA_0038
+2895	x	Rv0036c	MRA_0039
+396	x	Rv0037c	MRA_0040
+4010	x	Rv0038	MRA_0041
+2911	x	Rv0039c	MRA_0042
+2325	mtc28	Rv0040c	MRA_0043
+1159	leuS	Rv0041	MRA_0044
+2177	x	Rv0042c	MRA_0045
+457	x	Rv0043c	MRA_0046
+488	x	Rv0044c	MRA_0047
+2104	x	Rv0045c	MRA_0048
+1689	ino1	Rv0046c	MRA_0049
+2259	x	Rv0047c	MRA_0050
+4509	x	Rv0048c	MRA_0051
+6581	x	Rv0049	MRA_0052
+323	ponA1	Rv0050	MRA_0053
+3703	x	Rv0051	MRA_0054
+1784	x	Rv0052	MRA_0055
+972	rpsF	Rv0053	MRA_0056
+5981	ssb	Rv0054	MRA_0057
+6030	rpsR	Rv0055	MRA_0058
+562	rplI	Rv0056	MRA_0059
+4856	x	Rv0057	MRA_0059A
+47	dnaB	Rv0058	MRA_0060
+3904	x	Rv0059	MRA_0061
+842	x	Rv0060	MRA_0062
+7312	x	Rv0061	MRA_0063
+1096	celA1	Rv0062	MRA_0064
+32	mitR	Rv0063	MRA_0065
+2185	x	Rv0064	MRA_0066
+1888	x	Rv0065	MRA_0067
+2546	icd2	Rv0066c	MRA_0068
+724	x	Rv0067c	MRA_0069
+4310	x	Rv0068	MRA_0070
+1085	sdaA	Rv0069c	MRA_0071
+3379	glyA	Rv0070c	MRA_0072
+2479	x	Rv0071	MRA_0073
+6029	x	Rv0072	MRA_0074
+3040	glnQ1	Rv0073	MRA_0075
+1336	x	Rv0074	MRA_0076
+3190	x	Rv0075	MRA_0077
+2607	x	Rv0076c	MRA_0078
+3564	x	Rv0077c	MRA_0079
+3850	x	Rv0078	MRA_0080
+646	x	Rv0078A	MRA_0081
+6006	x	Rv0079	MRA_0083
+649	x	Rv0080	MRA_0084
+4726	x	Rv0081	MRA_0085
+3981	x	Rv0082	MRA_0086
+3129	x	Rv0083	MRA_0087
+5919	hycD	Rv0084	MRA_0088
+4212	hycP	Rv0085	MRA_0089
+4914	hycQ	Rv0086	MRA_0090
+1499	hycE	Rv0087	MRA_0091
+4066	x	Rv0088	MRA_0092
+1006	x	Rv0089	MRA_0093
+1271	x	Rv0090	MRA_0094
+5714	mtn	Rv0091	MRA_0095
+204	ctpA	Rv0092	MRA_0096
+5121	x	Rv0093c	MRA_0097
+2216	x	Rv0095c	MRA_0099
+1206	PPE1	Rv0096	MRA_0100
+954	x	Rv0097	MRA_0101
+5829	x	Rv0098	MRA_0102
+4730	fadD10	Rv0099	MRA_0103
+4664	x	Rv0100	MRA_0104
+389	nrp	Rv0101	MRA_0106
+2051	x	Rv0102	MRA_0107
+1910	ctpB	Rv0103c	MRA_0108
+4789	x	Rv0104	MRA_0109
+379	rpmB	Rv0105c	MRA_0110
+5828	x	Rv0106	MRA_0111
+1169	ctpI	Rv0107c	MRA_0112
+2917	x	Rv0108c	MRA_0114
+771	PE_PGRS1	Rv0109	MRA_0115
+3091	x	Rv0110	MRA_0116
+1098	x	Rv0111	MRA_0117
+623	gca	Rv0112	MRA_0118
+5612	gmhA	Rv0113	MRA_0119
+2360	gmhB	Rv0114	MRA_0120
+1482	hddA	Rv0115	MRA_0121
+3647	x	Rv0116c	MRA_0123
+5111	oxyS	Rv0117	MRA_0124
+2033	oxcA	Rv0118c	MRA_0125
+1587	fadD7	Rv0119	MRA_0126
+3568	fusA2	Rv0120c	MRA_0127
+1208	x	Rv0121c	MRA_0128
+226	x	Rv0122	MRA_0129
+2846	x	Rv0123	MRA_0130
+1518	PE_PGRS2	Rv0124	MRA_0131
+5982	pepA	Rv0125	MRA_0132
+64	treS	Rv0126	MRA_0133
+2921	pep2	Rv0127	MRA_0134
+3814	x	Rv0128	MRA_0135
+5727	fbpC	Rv0129c	MRA_0136
+7433	x	Rv0130	MRA_0137
+5818	fadE1	Rv0131c	MRA_0138
+3561	fgd2	Rv0132c	MRA_0139
+1745	x	Rv0133	MRA_0140
+4200	ephF	Rv0134	MRA_0141
+3528	x	Rv0135c	MRA_0142
+1871	cyp138	Rv0136	MRA_0143
+1506	msrA	Rv0137c	MRA_0144
+1643	x	Rv0138	MRA_0145
+148	x	Rv0139	MRA_0146
+5005	x	Rv0140	MRA_0147
+3237	x	Rv0141c	MRA_0148
+5979	x	Rv0142	MRA_0149
+3295	x	Rv0143c	MRA_0150
+3322	x	Rv0144	MRA_0151
+2274	x	Rv0145	MRA_0152
+983	x	Rv0146	MRA_0153
+1407	x	Rv0147	MRA_0154
+4450	x	Rv0148	MRA_0155
+4339	x	Rv0149	MRA_0156
+2262	x	Rv0150c	MRA_0157
+3731	PE1	Rv0151c	MRA_0158
+3622	PE2	Rv0152c	MRA_0159
+5236	ptbB	Rv0153c	MRA_0161
+1680	fadE2	Rv0154c	MRA_0162
+3267	pntAa	Rv0155	MRA_0163
+5744	pntAb	Rv0156	MRA_0164
+6509	pntB	Rv0157	MRA_0165
+2396	x	Rv0158	MRA_0166
+1692	PE3	Rv0159c	MRA_0167
+770	PE4	Rv0160c	MRA_0168
+6	x	Rv0161	MRA_0169
+1072	adhE1	Rv0162c	MRA_0170
+2630	x	Rv0163	MRA_0171
+428	TB18.5	Rv0164	MRA_0172
+1045	x	Rv0165c	MRA_0173
+895	fadD5	Rv0166	MRA_0174
+3457	yrbE1A	Rv0167	MRA_0175
+1757	yrbE1B	Rv0168	MRA_0176
+3038	mce1A	Rv0169	MRA_0177
+2638	mce1B	Rv0170	MRA_0178
+1300	mce1C	Rv0171	MRA_0179
+2770	mce1D	Rv0172	MRA_0180
+2774	lprK	Rv0173	MRA_0181
+647	mce1F	Rv0174	MRA_0182
+359	x	Rv0175	MRA_0183
+3211	x	Rv0176	MRA_0184
+4643	x	Rv0177	MRA_0185
+4106	x	Rv0178	MRA_0186
+1462	lprO	Rv0179c	MRA_0187
+5413	x	Rv0180c	MRA_0188
+2116	x	Rv0181c	MRA_0189
+4116	sigG	Rv0182c	MRA_0190
+1143	x	Rv0183	MRA_0191
+3316	x	Rv0184	MRA_0192
+3273	x	Rv0185	MRA_0193
+3360	bglS	Rv0186	MRA_0194
+1835	x	Rv0187	MRA_0195
+5102	x	Rv0188	MRA_0196
+1201	ilvD	Rv0189c	MRA_0197
+1939	x	Rv0190	MRA_0198
+3385	x	Rv0191	MRA_0199
+1685	x	Rv0192	MRA_0200
+3148	x	Rv0192A	x
+609	x	Rv0193c	MRA_0201
+1319	x	Rv0194	MRA_0202
+1721	x	Rv0195	MRA_0203
+274	x	Rv0196	MRA_0204
+117	x	Rv0197	MRA_0205
+984	x	Rv0198c	MRA_0206
+1472	x	Rv0199	MRA_0207
+2320	x	Rv0200	MRA_0208
+1258	x	Rv0201c	MRA_0209
+2288	mmpL11	Rv0202c	MRA_0210
+128	x	Rv0203	MRA_0211
+2799	x	Rv0204c	MRA_0212
+113	x	Rv0205	MRA_0213
+1934	mmpL3	Rv0206c	MRA_0214
+3756	x	Rv0207c	MRA_0215
+1137	trmB	Rv0208c	MRA_0216
+5712	x	Rv0209	MRA_0217
+3292	x	Rv0210	MRA_0218
+4855	pckA	Rv0211	MRA_0219
+1713	nadR	Rv0212c	MRA_0220
+3262	x	Rv0213c	MRA_0221
+337	fadD4	Rv0214	MRA_0222
+1705	fadE3	Rv0215c	MRA_0223
+3023	x	Rv0216	MRA_0224
+2531	lipW	Rv0217c	MRA_0225
+716	x	Rv0218	MRA_0226
+5017	x	Rv0219	MRA_0227
+3258	lipC	Rv0220	MRA_0228
+115	x	Rv0221	MRA_0229
+5951	echA1	Rv0222	MRA_0230
+1731	x	Rv0223c	MRA_0231
+3534	x	Rv0224c	MRA_0232
+6311	x	Rv0225	MRA_0233
+2821	x	Rv0226c	MRA_0234
+528	x	Rv0227c	MRA_0235
+797	x	Rv0228	MRA_0236
+348	x	Rv0229c	MRA_0237
+1639	php	Rv0230c	MRA_0238
+71	fadE4	Rv0231	MRA_0239
+1697	x	Rv0232	MRA_0240
+2411	nrdB	Rv0233	MRA_0241
+3939	gabD1	Rv0234c	MRA_0242
+3074	x	Rv0235c	MRA_0243
+110	x	Rv0236A	MRA_0245
+2637	x	Rv0236c	MRA_0244
+1676	lpqI	Rv0237	MRA_0246
+5385	x	Rv0238	MRA_0247
+6593	x	Rv0239	MRA_0248
+2535	x	Rv0240	MRA_0249
+730	x	Rv0241c	MRA_0250
+4564	fabG	Rv0242c	MRA_0251
+3799	fadA2	Rv0243	MRA_0252
+2226	fadE5	Rv0244c	MRA_0253
+3014	x	Rv0245	MRA_0254
+2782	x	Rv0246	MRA_0255
+6167	x	Rv0247c	MRA_0256
+2814	sdhA	Rv0248c	MRA_0257
+4649	x	Rv0249c	MRA_0258
+2541	x	Rv0250c	MRA_0259
+2075	hsp	Rv0251c	MRA_0260
+2347	nirB	Rv0252	MRA_0261
+1192	nirD	Rv0253	MRA_0262
+5810	cobU	Rv0254c	MRA_0263
+2282	cobQ1	Rv0255c	MRA_0264
+121	PPE2	Rv0256c	MRA_0265
+4689	x	Rv0257	MRA_0265A
+4878	x	Rv0258c	MRA_0266
+4588	x	Rv0259c	MRA_0267
+1065	x	Rv0260c	MRA_0268
+4573	narK3	Rv0261c	MRA_0269
+4150	aac	Rv0262c	MRA_0270
+676	x	Rv0263c	MRA_0271
+2060	x	Rv0264c	MRA_0272
+6008	x	Rv0265c	MRA_0273
+3132	oplA	Rv0266c	MRA_0274
+3497	narU	Rv0267	MRA_0275
+2664	x	Rv0268c	MRA_0276
+1367	x	Rv0269c	MRA_0277
+1496	fadD2	Rv0270	MRA_0278
+2905	fadE6	Rv0271c	MRA_0279
+2807	x	Rv0272c	MRA_0280
+624	x	Rv0273c	MRA_0281
+834	x	Rv0274	MRA_0282
+4325	x	Rv0275c	MRA_0283
+5875	x	Rv0276	MRA_0284
+2555	x	Rv0277c	MRA_0285
+203	PE_PGRS3	Rv0278c	MRA_0287
+381	PE_PGRS4	Rv0279c	MRA_0288
+429	PPE3	Rv0280	MRA_0289
+1174	x	Rv0281	MRA_0290
+946	x	Rv0282	MRA_0291
+1642	x	Rv0283	MRA_0292
+3395	x	Rv0284	MRA_0293
+1589	PE5	Rv0285	MRA_0294
+1455	PPE4	Rv0286	MRA_0295
+5495	esxG	Rv0287	MRA_0296
+1041	esxH	Rv0288	MRA_0297
+6899	x	Rv0289	MRA_0298
+2718	x	Rv0290	MRA_0299
+2994	mycP3	Rv0291	MRA_0300
+2293	x	Rv0292	MRA_0301
+4658	x	Rv0293c	MRA_0302
+4348	tam	Rv0294	MRA_0303
+586	x	Rv0295c	MRA_0304
+510	x	Rv0296c	MRA_0305
+749	PE_PGRS5	Rv0297	MRA_0306
+4950	x	Rv0298	MRA_0307
+6408	x	Rv0299	MRA_0308
+7025	x	Rv0300	MRA_0309
+809	x	Rv0301	MRA_0310
+857	x	Rv0302	MRA_0311
+1786	x	Rv0303	MRA_0312
+891	PPE6	Rv0304c	MRA_0313
+6163	PPE6	Rv0305c	MRA_0314
+2629	bluB	Rv0306	MRA_0315
+406	x	Rv0307c	MRA_0316
+146	x	Rv0308	MRA_0317
+5729	x	Rv0309	MRA_0318
+1561	baiE	Rv0310c	MRA_0319
+4194	x	Rv0311	MRA_0320
+2487	x	Rv0312	MRA_0321
+3577	x	Rv0313	MRA_0322
+3900	x	Rv0314c	MRA_0323
+1216	x	Rv0315	MRA_0324
+2668	x	Rv0316	MRA_0325
+3386	glpQ2	Rv0317c	MRA_0326
+3513	x	Rv0318c	MRA_0327
+2326	pcp	Rv0319	MRA_0328
+1171	x	Rv0320	MRA_0329
+1364	dcd	Rv0321	MRA_0330
+3339	udgA	Rv0322	MRA_0331
+1344	x	Rv0323c	MRA_0332
+5903	x	Rv0324	MRA_0333
+3788	x	Rv0325	MRA_0334
+1693	x	Rv0326	MRA_0335
+2349	cyp135A1	Rv0327c	MRA_0336
+3177	x	Rv0328	MRA_0337
+5625	x	Rv0329c	MRA_0338
+4299	x	Rv0330c	MRA_0339
+3518	x	Rv0331	MRA_0340
+5342	x	Rv0332	MRA_0341
+1842	x	Rv0333	MRA_0342
+5324	rmlA	Rv0334	MRA_0343
+587	PE6	Rv0335c	MRA_0344
+287	x	Rv0336	MRA_0522
+4793	aspC	Rv0337c	MRA_0346
+2834	x	Rv0338c	MRA_0347
+1408	x	Rv0339c	MRA_0348
+42	x	Rv0340	MRA_0349
+2340	iniB	Rv0341	MRA_0350
+3802	iniA	Rv0342	MRA_0351
+1756	iniC	Rv0343	MRA_0352
+758	lpqJ	Rv0344c	MRA_0353
+5246	x	Rv0345	MRA_0354
+120	ansP2	Rv0346c	MRA_0355
+782	x	Rv0347	MRA_0356
+4174	x	Rv0348	MRA_0357
+6661	x	Rv0349	MRA_0358
+135	dnaK	Rv0350	MRA_0359
+1884	grpE	Rv0351	MRA_0360
+1019	dnaJ1	Rv0352	MRA_0361
+4778	hspR	Rv0353	MRA_0362
+6097	PPE7	Rv0354c	x
+175	PPE8	Rv0355c	MRA_0364
+2125	x	Rv0356c	MRA_0365
+6978	purA	Rv0357c	MRA_0366
+5145	x	Rv0358	MRA_0367
+109	x	Rv0359	MRA_0368
+4338	x	Rv0360c	MRA_0369
+6249	x	Rv0361	MRA_0370
+479	mgtE	Rv0362	MRA_0371
+2576	fba	Rv0363c	MRA_0372
+1521	dedA	Rv0364	MRA_0373
+187	x	Rv0365c	MRA_0374
+2530	x	Rv0366c	MRA_0375
+6916	x	Rv0367c	x
+333	x	Rv0368c	MRA_0377
+2598	x	Rv0369c	MRA_0378
+2809	x	Rv0370c	MRA_0379
+4583	x	Rv0371c	MRA_0380
+4167	x	Rv0372c	MRA_0381
+752	x	Rv0373c	MRA_0382
+7276	x	Rv0374c	MRA_0383
+1213	x	Rv0375c	MRA_0384
+1626	x	Rv0376c	MRA_0385
+2416	x	Rv0377	MRA_0386
+5081	x	Rv0378	MRA_0386A
+4285	secE2	Rv0379	MRA_0387
+2663	x	Rv0380c	MRA_0388
+759	x	Rv0381c	MRA_0389
+6110	pyrE	Rv0382c	MRA_0390
+567	x	Rv0383c	MRA_0391
+5520	clpB	Rv0384c	MRA_0392
+1447	x	Rv0385	MRA_0393
+1649	x	Rv0386	MRA_0394
+2648	PPE9	Rv0387c	MRA_0395
+1789	purT	Rv0389	MRA_0396
+3265	x	Rv0390	MRA_0397
+3758	metZ	Rv0391	MRA_0398
+602	ndhA	Rv0392c	MRA_0399
+1249	x	Rv0393	MRA_0400
+4589	x	Rv0394c	MRA_0401
+2298	x	Rv0395	MRA_0401A
+3183	x	Rv0396	MRA_0402
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+5894	x	Rv0398c	MRA_0404
+3961	lpqK	Rv0399c	MRA_0405
+2425	fadE7	Rv0400c	MRA_0406
+1005	x	Rv0401	MRA_0407
+6299	mmpL1	Rv0402c	MRA_0408
+3816	mmpS1	Rv0403c	MRA_0409
+1638	fadD30	Rv0404	MRA_0410
+2133	pks6	Rv0405	MRA_0411
+1013	x	Rv0406c	MRA_0412
+2850	fgd1	Rv0407	MRA_0413
+2835	pta	Rv0408	MRA_0414
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+2042	pknG	Rv0410c	MRA_0416
+584	glnH	Rv0411c	MRA_0417
+4469	x	Rv0412c	MRA_0418
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+1476	thiE	Rv0414c	MRA_0420
+697	thiO	Rv0415	MRA_0421
+1817	thiS	Rv0416	MRA_0422
+2658	thiG	Rv0417	MRA_0423
+3092	lpqL	Rv0418	MRA_0424
+1782	lpqM	Rv0419	MRA_0425
+2918	x	Rv0420c	MRA_0426
+3743	x	Rv0421c	MRA_0427
+5525	thiD	Rv0422c	MRA_0428
+3589	thiC	Rv0423c	MRA_0429
+220	x	Rv0424c	MRA_0429A
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+2162	x	Rv0426c	MRA_0431
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+2197	x	Rv0428c	MRA_0433
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+3880	x	Rv0430	MRA_0435
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+6540	sodC	Rv0432	MRA_0437
+4964	x	Rv0433	MRA_0438
+5173	x	Rv0434	MRA_0439
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+487	pssA	Rv0436c	MRA_0441
+916	psd	Rv0437c	MRA_0442
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+4897	x	Rv0439c	MRA_0444
+3585	groEL	Rv0440	MRA_0445
+2533	x	Rv0441c	MRA_0446
+3808	PPE10	Rv0442c	MRA_0447
+1432	x	Rv0443	MRA_0448
+2011	x	Rv0444c	MRA_0449
+2656	sigK	Rv0445c	MRA_0450
+2980	x	Rv0446c	MRA_0451
+1837	ufaA1	Rv0447c	MRA_0452
+1812	x	Rv0448c	MRA_0453
+5184	x	Rv0449c	MRA_0454
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+3709	mmpS4	Rv0451c	MRA_0456
+1071	x	Rv0452	MRA_0457
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+6444	x	Rv0454	x
+3145	x	Rv0455c	MRA_0460
+3928	x	Rv0456A	MRA_0462
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+1301	x	Rv0457c	MRA_0463
+225	x	Rv0458	MRA_0464
+3671	x	Rv0459	MRA_0465
+4505	x	Rv0460	MRA_0466
+1157	x	Rv0461	MRA_0467
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+1490	x	Rv0463	MRA_0469
+6434	x	Rv0464c	MRA_0470
+4977	x	Rv0465c	MRA_0471
+41	x	Rv0466	MRA_0472
+1229	icl	Rv0467	MRA_0473
+2636	fadB2	Rv0468	MRA_0474
+3787	umaA	Rv0469	MRA_0475
+7320	x	Rv0470A	MRA_0477
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+1051	x	Rv0471c	MRA_0478
+4076	x	Rv0472c	MRA_0479
+2146	x	Rv0473	MRA_0480
+4931	x	Rv0474	MRA_0481
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+652	x	Rv0476	MRA_0483
+3925	x	Rv0477	MRA_0484
+2928	deoC	Rv0478	MRA_0485
+2548	x	Rv0479c	MRA_0486
+1358	x	Rv0480c	MRA_0487
+4251	x	Rv0481c	MRA_0488
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+286	lprQ	Rv0483	MRA_0490
+3657	x	Rv0484c	MRA_0491
+5336	x	Rv0485	MRA_0492
+268	x	Rv0486	MRA_0493
+265	x	Rv0487	MRA_0494
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+4876	gpmA	Rv0489	MRA_0496
+3303	senX3	Rv0490	MRA_0497
+3684	regX3	Rv0491	MRA_0498
+5959	x	Rv0492A	MRA_0499A
+285	x	Rv0492c	MRA_0499
+1767	x	Rv0493c	MRA_0500
+4976	x	Rv0494	MRA_0501
+4370	x	Rv0495c	MRA_0502
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+650	x	Rv0498	MRA_0505
+913	x	Rv0499	MRA_0506
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+5996	x	Rv0500A	MRA_0508
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+5820	x	Rv0504c	MRA_0512
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+218	hemD	Rv0511	MRA_0518
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+3420	x	Rv0514	MRA_0521
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+539	x	Rv0517	MRA_0524
+3747	x	Rv0518	MRA_0525
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+1000	menA	Rv0534c	MRA_0541
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+123	x	Rv0540	MRA_0547
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+2779	menE	Rv0542c	MRA_0549
+3927	x	Rv0543c	MRA_0550
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+1717	x	Rv0546c	MRA_0553
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+4127	x	Rv0549c	MRA_0556
+3767	x	Rv0550c	MRA_0557
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+2159	x	Rv0556	MRA_0563
+100	pimB	Rv0557	MRA_0564
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+4439	x	Rv0565c	MRA_0572
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+4309	x	Rv0569	MRA_0576
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+3010	x	Rv0579	MRA_0586
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+2115	x	Rv0584	MRA_0591
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+3792	x	Rv0793	MRA_0803
+2681	x	Rv0794c	MRA_0804
+560	x	Rv0795	MRA_0012
+163	x	Rv0797	MRA_0807
+5194	cfp29	Rv0798c	MRA_0808
+5310	x	Rv0799c	MRA_0809
+677	pepC	Rv0800	MRA_0810
+1111	x	Rv0801	MRA_0811
+1198	x	Rv0802c	MRA_0812
+1245	purL	Rv0803	MRA_0813
+2618	x	Rv0804	MRA_0814
+4773	icc	Rv0805	MRA_0815
+5057	cpsY	Rv0806c	MRA_0816
+4814	x	Rv0807	MRA_0817
+1026	purF	Rv0808	MRA_0818
+1569	purM	Rv0809	MRA_0819
+5048	x	Rv0810c	MRA_0820
+6251	x	Rv0811c	MRA_0821
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+4840	x	Rv0813c	MRA_0823
+937	sseC2	Rv0814c	MRA_3150
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+1551	x	Rv0817c	MRA_0827
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+6522	phoY2	Rv0821c	MRA_0831
+1279	x	Rv0822c	MRA_0832
+370	x	Rv0823c	MRA_0833
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+3204	x	Rv0825c	MRA_0835
+3300	x	Rv0826	MRA_0836
+1785	x	Rv0827c	MRA_0837
+3722	x	Rv0828c	MRA_0838
+4259	x	Rv0830	MRA_0839
+2860	x	Rv0831c	MRA_0840
+3060	PE_PGRS12	Rv0832	MRA_0841
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+4922	lpqQ	Rv0835	MRA_0843
+4557	x	Rv0836c	MRA_0844
+626	x	Rv0837c	MRA_0845
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+5161	x	Rv0839	MRA_0847
+3382	pip	Rv0840c	MRA_0848
+1314	x	Rv0841	MRA_0849
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+1036	x	Rv0843	MRA_0851
+3689	narL	Rv0844c	MRA_0852
+37	x	Rv0845	MRA_0853
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+3167	x	Rv0849	MRA_0857
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+3276	x	Rv0851c	MRA_0859
+2184	fadD16	Rv0852	MRA_0860
+5711	pdc	Rv0853c	MRA_0861
+3569	x	Rv0854	MRA_0862
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+4003	x	Rv0856	MRA_0864
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+3207	fadA	Rv0859	MRA_0867
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+1543	x	Rv0862c	MRA_0870
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+2738	moaD2	Rv0868c	MRA_0875
+4533	moaA	Rv0869c	MRA_0876
+2736	x	Rv0870c	MRA_0877
+3308	cspB	Rv0871	MRA_0878
+2470	PE_PGRS15	Rv0872c	MRA_0879
+4923	fadE10	Rv0873	MRA_0880
+1435	x	Rv0874c	MRA_0637
+1189	x	Rv0875c	MRA_0882
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+3929	x	Rv0879c	MRA_0886
+130	x	Rv0880	MRA_0887
+11	x	Rv0881	MRA_0888
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+4510	serC	Rv0884c	MRA_0891
+385	x	Rv0885	MRA_0892
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+3990	x	Rv0887c	MRA_0894
+1323	x	Rv0888	MRA_0896
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+1869	x	Rv0890c	MRA_0898
+3107	x	Rv0891c	MRA_0899
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+125	x	Rv0898c	MRA_0905A
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+1793	prrB	Rv0902c	MRA_0909
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+4023	x	Rv0906	MRA_0913
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+365	x	Rv0909	MRA_0916
+6936	x	Rv0910	MRA_0917
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+4825	x	Rv0918	MRA_0926
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+179	x	Rv0920c	MRA_0928
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+2430	x	Rv0925c	MRA_0933
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+167	x	Rv0938	MRA_0946
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+356	x	Rv1222	MRA_1231
+645	htrA	Rv1223	MRA_1232
+1882	tatB	Rv1224	MRA_1233
+4239	x	Rv1225c	MRA_1234
+889	x	Rv1226c	MRA_1235
+4057	x	Rv1227c	MRA_1236
+7196	lpqX	Rv1228	MRA_1237
+5442	mrp	Rv1229c	MRA_1238
+426	x	Rv1230c	MRA_1239
+1529	x	Rv1231c	MRA_1240
+2526	x	Rv1232c	MRA_1241
+5537	x	Rv1233c	MRA_1242
+3533	x	Rv1234	MRA_1243
+1614	lpqY	Rv1235	MRA_1244
+5523	sugA	Rv1236	MRA_1245
+2266	sugB	Rv1237	MRA_1246
+5976	sugC	Rv1238	MRA_1247
+1375	corA	Rv1239c	MRA_1248
+3765	mdh	Rv1240	MRA_1249
+5107	x	Rv1241	MRA_1250
+1912	x	Rv1242	MRA_1251
+1698	PE_PGRS23	Rv1243c	MRA_1252
+1368	lpqZ	Rv1244	MRA_1253
+5653	x	Rv1245c	MRA_1254
+1765	x	Rv1246c	MRA_1255
+7219	x	Rv1247c	MRA_1255A
+326	kgd	Rv1248c	MRA_1256
+1269	x	Rv1249c	MRA_1257
+3245	x	Rv1250	MRA_1258
+2585	x	Rv1251c	MRA_1259
+1944	lprE	Rv1252c	MRA_1260
+14	deaD	Rv1253	MRA_1261
+4238	x	Rv1254	MRA_1262
+3089	x	Rv1255c	MRA_1263
+2833	cyp130	Rv1256c	MRA_1264
+1652	x	Rv1257c	MRA_1265
+5812	tap	Rv1258c	MRA_1266
+1716	x	Rv1259	MRA_1267
+4466	x	Rv1260	MRA_1268
+4131	x	Rv1261c	MRA_1269
+912	x	Rv1262c	MRA_1270
+3506	amiB2	Rv1263	MRA_1271
+4603	x	Rv1264	MRA_1272
+322	x	Rv1265	MRA_1273
+734	pknH	Rv1266c	MRA_1274
+4176	embR	Rv1267c	MRA_1275
+4760	x	Rv1268c	MRA_1276
+2106	x	Rv1269c	MRA_1277
+1703	lprA	Rv1270c	MRA_1278
+6062	x	Rv1271c	MRA_1279
+3325	x	Rv1272c	MRA_1280
+4718	x	Rv1273c	MRA_1281
+4040	lprB	Rv1274	MRA_1282
+4376	lprC	Rv1275	MRA_1283
+6502	x	Rv1276c	MRA_1284
+5274	x	Rv1277	MRA_1285
+1579	x	Rv1278	MRA_1286
+212	x	Rv1279	MRA_1287
+4333	oppA	Rv1280c	MRA_1288
+5258	oppD	Rv1281c	MRA_1289
+4000	oppC	Rv1282c	MRA_1290
+1308	oppB	Rv1283c	MRA_1291
+5852	x	Rv1284	MRA_1292
+2091	cysD	Rv1285	MRA_1293
+1907	cysN	Rv1286	MRA_1294
+5644	x	Rv1287	MRA_1295
+735	x	Rv1288	MRA_1296
+6592	x	Rv1289	MRA_1297
+4893	x	Rv1290A	MRA_1298A
+4112	x	Rv1290c	MRA_1298
+2669	x	Rv1291c	MRA_1299
+229	argS	Rv1292	MRA_1300
+2283	lysA	Rv1293	MRA_1301
+4139	thrA	Rv1294	MRA_1302
+3800	thrC	Rv1295	MRA_1303
+2336	thrB	Rv1296	MRA_1304
+596	rho	Rv1297	MRA_1305
+6361	rpmE	Rv1298	MRA_1306
+6482	prfA	Rv1299	MRA_1307
+2327	hemK	Rv1300	MRA_1308
+1797	x	Rv1301	MRA_1309
+1843	rfe	Rv1302	MRA_1310
+2985	x	Rv1303	MRA_1311
+2295	atpB	Rv1304	MRA_1312
+2716	atpE	Rv1305	MRA_1313
+1541	atpF	Rv1306	MRA_1314
+5728	atpH	Rv1307	MRA_1315
+3572	atpA	Rv1308	MRA_1316
+5287	atpG	Rv1309	MRA_1317
+2130	atpD	Rv1310	MRA_1318
+5294	atpC	Rv1311	MRA_1319
+4180	x	Rv1312	MRA_1320
+548	x	Rv1313c	MRA_3838
+270	x	Rv1314c	MRA_1322
+3500	murA	Rv1315	MRA_1323
+4156	ogt	Rv1316c	MRA_1324
+1297	alkA	Rv1317c	MRA_1325
+833	x	Rv1318c	MRA_1326
+4009	x	Rv1319c	MRA_1327
+1181	x	Rv1320c	MRA_1328
+985	x	Rv1321	MRA_1329
+6222	x	Rv1322	MRA_1329A
+5354	x	Rv1322A	MRA_1330
+4052	fadA4	Rv1323	MRA_1331
+4548	x	Rv1324	MRA_1332
+2792	PE_PGRS24	Rv1325c	MRA_1333
+3827	glgB	Rv1326c	MRA_1334
+4911	glgE	Rv1327c	MRA_1335
+1454	glgP	Rv1328	MRA_1336
+251	dinG	Rv1329c	MRA_1337
+4672	x	Rv1330c	MRA_1338
+5774	clpS	Rv1331	MRA_1339
+2655	x	Rv1332	MRA_1340
+4966	x	Rv1333	MRA_1341
+5515	x	Rv1334	MRA_1342
+65	cfp10a	Rv1335	MRA_1343
+2977	cysM	Rv1336	MRA_1344
+6303	x	Rv1337	MRA_1345
+6013	murI	Rv1338	MRA_1346
+3795	x	Rv1339	MRA_1347
+3885	rph	Rv1340	MRA_1348
+221	x	Rv1341	MRA_1349
+6930	x	Rv1342c	MRA_1350
+5076	lprD	Rv1343c	MRA_1351
+827	acp-2	Rv1344	MRA_1352
+2826	fadD33	Rv1345	MRA_1353
+1487	fadE14	Rv1346	MRA_1354
+2947	mbtK	Rv1347c	MRA_1355
+1212	x	Rv1348	MRA_1356
+1611	x	Rv1349	MRA_1357
+2056	fabG	Rv1350	MRA_1358
+4461	x	Rv1351	MRA_1359
+6461	x	Rv1352	MRA_1360
+3550	x	Rv1353c	MRA_1361
+2322	x	Rv1354c	MRA_1362
+3047	moeY	Rv1355c	MRA_1363
+4373	x	Rv1356c	MRA_1364
+2578	x	Rv1357c	MRA_1365
+1738	x	Rv1358	MRA_1366
+2605	x	Rv1359	MRA_1367
+3818	x	Rv1360	MRA_1369
+233	PPE60	Rv1361c	MRA_1370
+798	x	Rv1362c	MRA_1371
+5455	x	Rv1363c	MRA_1372
+1436	x	Rv1364c	MRA_1373
+4142	rsfA	Rv1365c	MRA_1374
+138	x	Rv1366	MRA_1375
+3434	x	Rv1367c	MRA_1377
+521	lprF	Rv1368	MRA_1378
+4028	x	Rv1371	MRA_1381
+518	x	Rv1372	MRA_1382
+122	x	Rv1373	MRA_1383
+5743	x	Rv1374c	MRA_1383A
+60	x	Rv1375	MRA_1384
+24	x	Rv1376	MRA_1385
+5263	x	Rv1377c	MRA_1386
+1465	x	Rv1378c	MRA_1387
+5281	pyrR	Rv1379	MRA_1388
+3476	pyrB	Rv1380	MRA_1389
+4454	pyrC	Rv1381	MRA_1390
+6275	x	Rv1382	MRA_1391
+3950	carA	Rv1383	MRA_1392
+390	carB	Rv1384	MRA_1393
+1493	pyrF	Rv1385	MRA_1394
+6381	PE15	Rv1386	MRA_1395
+783	PPE20	Rv1387	MRA_1396
+526	mihF	Rv1388	MRA_1397
+2521	gmk	Rv1389	MRA_1398
+1727	rpoZ	Rv1390	MRA_1399
+234	dfp	Rv1391	MRA_1400
+2788	metK	Rv1392	MRA_1401
+1023	x	Rv1393c	MRA_1402
+3076	cyp132	Rv1394c	MRA_1403
+968	x	Rv1395	MRA_1404
+3467	PE_PGRS25	Rv1396c	MRA_1405
+2797	x	Rv1397c	MRA_1406
+5193	x	Rv1398c	MRA_1407
+1988	lipH	Rv1399c	MRA_1408
+2540	lipI	Rv1400c	MRA_1409
+1395	x	Rv1401	MRA_1410
+3466	priA	Rv1402	MRA_1411
+2363	x	Rv1403c	MRA_1412
+3116	x	Rv1404	MRA_1413
+5237	x	Rv1405c	MRA_1414
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+3201	fmu	Rv1407	MRA_1416
+2704	rpe	Rv1408	MRA_1417
+1008	ribG	Rv1409	MRA_1418
+481	x	Rv1410c	MRA_1419
+512	lprG	Rv1411c	MRA_1420
+2851	ribC	Rv1412	MRA_1421
+3584	x	Rv1413	MRA_1422
+3698	x	Rv1414	MRA_1423
+3919	ribA2	Rv1415	MRA_1424
+3239	ribH	Rv1416	MRA_1425
+5795	x	Rv1417	MRA_1426
+927	lprH	Rv1418	MRA_1427
+5079	x	Rv1419	MRA_1428
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+3688	x	Rv1421	MRA_1430
+4920	x	Rv1422	MRA_1431
+3141	whiA	Rv1423	MRA_1432
+6537	x	Rv1424c	MRA_1433
+1295	x	Rv1425	MRA_1434
+176	lipO	Rv1426c	MRA_1435
+3246	fadD12	Rv1427c	MRA_1436
+1653	x	Rv1428c	MRA_1437
+2445	x	Rv1429	MRA_1438
+3627	PE16	Rv1430	MRA_1439
+860	x	Rv1431	MRA_1440
+506	x	Rv1432	MRA_1441
+875	x	Rv1433	MRA_1442
+5639	x	Rv1434	MRA_1442A
+3559	x	Rv1435c	MRA_1443
+5172	gap	Rv1436	MRA_1444
+6761	pgk	Rv1437	MRA_1445
+4993	tpiA	Rv1438	MRA_1446
+6946	x	Rv1439c	MRA_1447
+1163	secG	Rv1440	MRA_1448
+1821	PE_PGRS26	Rv1441c	MRA_1449
+1811	bisC	Rv1442	MRA_1450
+689	x	Rv1443c	MRA_1451
+3227	x	Rv1444c	MRA_1453
+1379	devB	Rv1445c	MRA_1454
+2987	opcA	Rv1446c	MRA_1455
+2970	zwf2	Rv1447c	MRA_1456
+3628	tal	Rv1448c	MRA_1457
+79	tkt	Rv1449c	MRA_1458
+5564	PE_PGRS27	Rv1450c	x
+2649	ctaB	Rv1451	MRA_1460
+3006	PE_PGRS28	Rv1452c	MRA_1461
+4387	x	Rv1453	MRA_1462
+89	qor	Rv1454c	MRA_1463
+1722	x	Rv1455	MRA_1464
+2753	x	Rv1456c	MRA_1465
+1017	x	Rv1457c	MRA_1466
+4379	x	Rv1458c	MRA_1467
+2372	x	Rv1459c	MRA_1468
+2082	x	Rv1460	MRA_1469
+3940	x	Rv1461	MRA_1470
+3517	x	Rv1462	MRA_1471
+1090	x	Rv1463	MRA_1472
+4898	csd	Rv1464	MRA_1473
+5298	x	Rv1465	MRA_1474
+1431	x	Rv1466	MRA_1475
+2916	fadE15	Rv1467c	MRA_1476
+500	PE_PGRS29	Rv1468c	MRA_1477
+3162	ctpD	Rv1469	MRA_1478
+2061	trxA	Rv1470	MRA_1479
+7237	trxB1	Rv1471	MRA_1480
+1032	echA12	Rv1472	MRA_1481
+5649	x	Rv1473	MRA_1482
+2654	x	Rv1473A	MRA_1483
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+392	x	Rv1477	MRA_1487
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+1586	x	Rv1480	MRA_1490
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+1844	x	Rv1486c	MRA_1495A
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+4300	argK	Rv1496	MRA_1506
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+5158	x	Rv1498A	MRA_1509
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+3354	x	Rv1505c	MRA_1516
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+5420	fadD11.1	Rv1549	MRA_1561
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+1510	frdB	Rv1553	MRA_1565
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+2775	x	Rv1556	MRA_1568
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+5412	ilvA	Rv1559	MRA_1571
+3013	x	Rv1560	MRA_1572
+3547	x	Rv1561	MRA_1573
+1034	treZ	Rv1562c	MRA_1574
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+1099	treX	Rv1564c	MRA_1576
+3102	x	Rv1565c	MRA_1577
+3297	x	Rv1566c	MRA_1578
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+829	x	Rv1578c	MRA_1589
+7010	x	Rv1579c	MRA_1590
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+4800	x	Rv1581c	MRA_1592
+3526	x	Rv1582c	MRA_1593
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+4138	x	Rv1584c	MRA_1595
+1484	x	Rv1585c	MRA_1596
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+869	x	Rv1587c	MRA_1598
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+5583	x	Rv1590	MRA_1600
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+2431	x	Rv1597	MRA_1607
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+3138	hisD	Rv1599	MRA_1609
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+1020	pykA	Rv1617	MRA_1627
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+1813	x	Rv1619	MRA_1629
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+7195	cydD	Rv1621c	MRA_1631
+8	cydB	Rv1622c	MRA_1632
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+3042	x	Rv1624c	MRA_1634
+1202	cya	Rv1625c	MRA_1635
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+3529	x	Rv1627c	MRA_1637
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+5548	coaE	Rv1631	MRA_1641
+3147	x	Rv1632c	MRA_1642
+3615	uvrB	Rv1633	MRA_1643
+789	x	Rv1634	MRA_1644
+3975	x	Rv1635c	MRA_1645
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+4772	x	Rv1637c	MRA_1647
+1261	uvrA	Rv1638	MRA_1648
+2305	x	Rv1638A	MRA_1649
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+1183	lysS	Rv1640c	MRA_1651
+1906	infC	Rv1641	MRA_1652
+1451	rpmI	Rv1642	MRA_1653
+3914	rplT	Rv1643	MRA_1654
+3044	tsnR	Rv1644	MRA_1655
+3175	x	Rv1645c	MRA_1656
+2831	PE17	Rv1646	MRA_1657
+2869	x	Rv1647	MRA_1658
+1044	x	Rv1648	MRA_1659
+4047	pheS	Rv1649	MRA_1660
+2727	pheT	Rv1650	MRA_1661
+579	PE_PGRS30	Rv1651c	MRA_1662
+4839	argC	Rv1652	MRA_1663
+1156	argJ	Rv1653	MRA_1664
+4035	argB	Rv1654	MRA_1665
+4733	argD	Rv1655	MRA_1666
+81	argF	Rv1656	MRA_1667
+6351	argR	Rv1657	MRA_1668
+1668	argG	Rv1658	MRA_1669
+205	argH	Rv1659	MRA_1670
+1470	pks10	Rv1660	MRA_1671
+156	pks7	Rv1661	MRA_1672
+3813	pks8	Rv1662	MRA_1673
+2749	pks17	Rv1663	MRA_1674
+1419	pks9	Rv1664	MRA_1675
+2248	pks11	Rv1665	MRA_1676
+3377	cyp139	Rv1666c	MRA_1677
+185	x	Rv1667c	MRA_1678
+7107	x	Rv1668c	MRA_1679
+2311	x	Rv1669	MRA_1679A
+5708	x	Rv1670	MRA_1680
+5689	x	Rv1671	MRA_1681
+1624	x	Rv1672c	MRA_1682
+6649	x	Rv1673c	MRA_1683
+4826	x	Rv1674c	MRA_1684
+1486	x	Rv1675c	MRA_1686
+2	x	Rv1676	MRA_1687
+1191	dsbF	Rv1677	MRA_1688
+3459	x	Rv1678	MRA_1689
+7128	fadE16	Rv1679	MRA_1690
+6557	x	Rv1680	MRA_1691
+979	moeX	Rv1681	MRA_1692
+2415	x	Rv1682	MRA_1693
+1466	x	Rv1683	MRA_1694
+2808	x	Rv1684	MRA_1694A
+3214	x	Rv1685c	MRA_1695
+1634	x	Rv1686c	MRA_1696
+4474	x	Rv1687c	MRA_1697
+5955	mpg	Rv1688	MRA_1698
+4024	tyrS	Rv1689	MRA_1699
+5611	lprJ	Rv1690	MRA_1700
+147	x	Rv1691	MRA_1701
+4326	x	Rv1692	MRA_1702
+7449	x	Rv1693	MRA_1702A
+3608	tlyA	Rv1694	MRA_1703
+5786	ppnK	Rv1695	MRA_1704
+2284	recN	Rv1696	MRA_1705
+5628	x	Rv1697	MRA_1706
+1326	x	Rv1698	MRA_1707
+1172	pyrG	Rv1699	MRA_1708
+3388	x	Rv1700	MRA_1709
+1370	xerD	Rv1701	MRA_1710
+2007	x	Rv1702c	MRA_1711
+171	x	Rv1703c	MRA_1712
+805	cycA	Rv1704c	MRA_1713
+2076	PPE22	Rv1705c	MRA_1714
+423	x	Rv1706A	MRA_1716
+671	PPE23	Rv1706c	MRA_1715
+3406	x	Rv1707	MRA_1717
+6111	x	Rv1708	MRA_1718
+1264	scpA	Rv1709	MRA_1719
+902	scpB	Rv1710	MRA_1720
+282	x	Rv1711	MRA_1721
+2242	cmk	Rv1712	MRA_1722
+3667	engA	Rv1713	MRA_1723
+3616	x	Rv1714	MRA_1724
+886	fadB3	Rv1715	MRA_1725
+425	x	Rv1716	MRA_1726
+1446	x	Rv1717	MRA_1727
+2409	x	Rv1718	MRA_1728
+334	x	Rv1719	MRA_1729
+2058	x	Rv1720c	MRA_1730
+7239	x	Rv1721c	MRA_1731
+0	x	Rv1722	MRA_1732
+4942	x	Rv1723	MRA_1733
+1256	x	Rv1724c	MRA_1734
+1495	x	Rv1725c	MRA_1735
+4596	x	Rv1726	MRA_1736
+4527	x	Rv1727	MRA_1737
+2892	x	Rv1728c	MRA_1738
+350	x	Rv1729c	MRA_1739
+246	pbp-2	Rv1730c	MRA_1740
+463	gabD2	Rv1731	MRA_1741
+3738	x	Rv1732c	MRA_1742
+3868	x	Rv1733c	MRA_1743
+6997	x	Rv1734c	MRA_1744
+4787	x	Rv1735c	MRA_1745
+18	narX	Rv1736c	MRA_1747
+499	narK2	Rv1737c	MRA_1748
+5879	x	Rv1738	MRA_1749
+504	x	Rv1739c	MRA_1750
+962	x	Rv1740	MRA_1751
+5654	x	Rv1741	MRA_1752
+4989	x	Rv1742	MRA_1753
+142	pknE	Rv1743	MRA_1754
+1060	x	Rv1744c	MRA_1755
+3978	idi	Rv1745c	MRA_1756
+2299	pknF	Rv1746	MRA_1757
+4443	x	Rv1747	MRA_1758
+6281	x	Rv1748	MRA_1759
+458	x	Rv1749c	MRA_1760
+670	fadD1	Rv1750c	MRA_1761
+996	x	Rv1751	MRA_1762
+3672	x	Rv1752	MRA_1763
+2513	PPE24	Rv1753c	MRA_1764
+772	x	Rv1754c	MRA_1765
+535	cut1	Rv1758	MRA_1771
+1475	wag22	Rv1759c	x
+1954	x	Rv1760	MRA_1774
+1312	x	Rv1761c	MRA_1775
+305	x	Rv1762c	MRA_1776
+166	x	Rv1764	MRA_2182
+5880	x	Rv1765A	MRA_1781
+427	x	Rv1765c	MRA_1780
+961	x	Rv1766	MRA_1782
+1597	x	Rv1767	MRA_1783
+2767	PE_PGRS31	Rv1768	MRA_1784
+883	x	Rv1769	MRA_1785
+101	x	Rv1770	MRA_1786
+164	x	Rv1771	MRA_1787
+4022	x	Rv1772	MRA_1788
+31	x	Rv1773c	MRA_1789
+2142	x	Rv1774	MRA_1790
+5535	x	Rv1775	MRA_1791
+1371	x	Rv1776c	MRA_1792
+1489	cyp144	Rv1777	MRA_1793
+5228	x	Rv1778c	MRA_1794
+1075	x	Rv1779c	MRA_1795
+5020	x	Rv1780	MRA_1795A
+2688	malQ	Rv1781c	MRA_1796
+920	x	Rv1782	MRA_1797
+7097	x	Rv1783	x
+635	x	Rv1784	MRA_1798
+707	cyp143	Rv1785c	MRA_1799
+3675	x	Rv1786	MRA_1800
+706	PPE25	Rv1787	MRA_1801
+2387	PE18	Rv1788	MRA_1802
+802	PPE26	Rv1789	MRA_1803
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+4508	PE19	Rv1791	MRA_1805
+3495	x	Rv1794	MRA_1807
+1987	x	Rv1795	MRA_1808
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+4612	x	Rv1797	MRA_1810
+1306	x	Rv1798	MRA_1811
+7223	lppT	Rv1799	MRA_1812
+977	PPE28	Rv1800	MRA_1813
+855	PPE29	Rv1801	MRA_1814
+2004	PPE30	Rv1802	MRA_1815
+2612	PE_PGRS32	Rv1803c	MRA_1816
+4421	x	Rv1804c	MRA_1817
+1600	x	Rv1805c	MRA_1817A
+6630	PE20	Rv1806	MRA_1818
+2757	PPE32	Rv1808	MRA_1820
+1776	PPE33	Rv1809	MRA_1821
+1522	x	Rv1810	MRA_1822
+1015	mgtC	Rv1811	MRA_1823
+4056	x	Rv1812c	MRA_1824
+1414	x	Rv1813c	MRA_1825
+2700	erg3	Rv1814	MRA_1826
+1974	x	Rv1815	MRA_1827
+4872	x	Rv1816	MRA_1828
+2594	x	Rv1817	MRA_1829
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+3192	x	Rv1819c	MRA_1831
+4418	ilvG	Rv1820	MRA_1832
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+5466	pgsA2	Rv1822	MRA_1834
+5052	x	Rv1823	MRA_1835
+1599	x	Rv1824	MRA_1836
+3782	x	Rv1825	MRA_1837
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+5541	cfp17	Rv1827	MRA_1839
+3716	x	Rv1828	MRA_1840
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+2265	x	Rv1833c	MRA_1844
+2114	x	Rv1834	MRA_1845
+1444	x	Rv1835c	MRA_1846
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+272	glcB	Rv1837c	MRA_1848
+414	x	Rv1838c	MRA_1849
+5207	x	Rv1839c	MRA_1850
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+2192	x	Rv1842c	MRA_1853
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+6056	x	Rv1845c	MRA_1856
+4188	x	Rv1846c	MRA_1857
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+3016	ureB	Rv1849	MRA_1860
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+3557	ndh	Rv1854c	MRA_1865
+3797	x	Rv1855c	MRA_1866
+6027	x	Rv1856c	MRA_1867
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+2330	x	Rv1877	MRA_1888
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+5059	x	Rv1882c	MRA_1893
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+398	x	Rv1887	MRA_1898
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+2250	furA	Rv1909c	MRA_1920
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+15	lppC	Rv1911c	MRA_1922
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+4830	x	Rv1927	MRA_1938
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+7115	x	Rv1943c	MRA_1953
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+786	x	Rv1998c	MRA_2014
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+1112	tatC	Rv2093c	MRA_2108
+1078	tatA	Rv2094c	MRA_2109
+2478	x	Rv2095c	MRA_2110
+2175	x	Rv2096c	MRA_2111
+1390	x	Rv2097c	MRA_2112
+415	x	Rv2100	MRA_2114
+1118	helZ	Rv2101	MRA_2115
+395	x	Rv2102	MRA_2116
+5742	x	Rv2103c	MRA_2117
+3931	x	Rv2104c	MRA_2118
+2878	PE22	Rv2107	MRA_2122
+2683	PPE36	Rv2108	MRA_2123
+3374	prcA	Rv2109c	MRA_2124
+2633	prcB	Rv2110c	MRA_2125
+1827	x	Rv2111c	MRA_2126
+137	x	Rv2112c	MRA_2127
+2532	x	Rv2113	MRA_2128
+418	x	Rv2114	MRA_2129
+1259	x	Rv2115c	MRA_2130
+5122	lppK	Rv2116	MRA_2131
+5572	x	Rv2117	MRA_2132
+3605	x	Rv2118c	MRA_2133
+2793	x	Rv2119	MRA_2134
+1316	x	Rv2120c	MRA_2135
+748	hisG	Rv2121c	MRA_2136
+5290	hisE	Rv2122c	MRA_2137
+978	PPE37	Rv2123	MRA_2138
+861	metH	Rv2124c	MRA_2139
+3781	x	Rv2125	MRA_2140
+3822	PE_PGRS37	Rv2126c	MRA_2140A
+3515	ansP1	Rv2127	MRA_2141
+4034	x	Rv2128	MRA_2142
+4910	x	Rv2129c	MRA_2143
+4318	cysS	Rv2130c	MRA_2144
+4642	cysQ	Rv2131c	MRA_2145
+6732	x	Rv2132	MRA_2146
+133	x	Rv2133c	MRA_2147
+6120	x	Rv2134c	MRA_2148
+4044	x	Rv2135c	MRA_2149
+5247	uppP	Rv2136c	MRA_2150
+4499	x	Rv2137c	MRA_2151
+1311	lppL	Rv2138	MRA_2152
+315	pyrD	Rv2139	MRA_2153
+5889	TB18.6	Rv2140c	MRA_2154
+3361	x	Rv2141c	MRA_2155
+2976	x	Rv2142c	MRA_2156
+6203	x	Rv2143	MRA_2158
+6017	x	Rv2144c	MRA_2159
+1733	wag31	Rv2145c	MRA_2160
+2908	x	Rv2146c	MRA_2161
+565	x	Rv2147c	MRA_2162
+56	x	Rv2148c	MRA_2163
+2383	yfiH	Rv2149c	MRA_2164
+4344	ftsZ	Rv2150c	MRA_2165
+2446	ftsQ	Rv2151c	MRA_2166
+629	murC	Rv2152c	MRA_2167
+2740	murG	Rv2153c	MRA_2168
+48	ftsW	Rv2154c	MRA_2169
+1150	murD	Rv2155c	MRA_2170
+2737	mraY	Rv2156c	MRA_2171
+4351	murF	Rv2157c	MRA_2172
+353	murE	Rv2158c	MRA_2173
+4757	x	Rv2159c	MRA_2174
+5507	x	Rv2160A	x
+5327	x	Rv2160c	MRA_2175
+4036	x	Rv2161c	MRA_2176
+576	PE_PGRS38	Rv2162c	MRA_2177
+1320	pbpB	Rv2163c	MRA_2178
+2742	x	Rv2164c	MRA_2179
+2410	mraW	Rv2165c	MRA_2180
+7430	x	Rv2166c	MRA_2181
+1904	x	Rv2169c	MRA_2184
+1665	x	Rv2170	MRA_2185
+2989	lppM	Rv2171	MRA_2186
+2166	x	Rv2172c	MRA_2187
+3157	idsA2	Rv2173	MRA_2188
+594	x	Rv2174	MRA_2189
+2031	x	Rv2175c	MRA_2190
+2253	pknL	Rv2176	MRA_2191
+3248	aroG	Rv2178c	MRA_2193
+7165	x	Rv2179c	MRA_2194
+1940	x	Rv2180c	MRA_2195
+1823	x	Rv2181	MRA_2196
+4600	x	Rv2182c	MRA_2197
+5703	x	Rv2183c	MRA_2198
+803	x	Rv2184c	MRA_2199
+6754	TB16.3	Rv2185c	MRA_2200
+4544	x	Rv2186c	MRA_2201
+667	fadD15	Rv2187	MRA_2202
+940	x	Rv2188c	MRA_2203
+2151	x	Rv2189c	MRA_2204
+276	x	Rv2190c	MRA_2205
+384	x	Rv2191	MRA_2207
+2318	trpD	Rv2192c	MRA_2208
+3115	ctaE	Rv2193	MRA_2209
+1293	qcrC	Rv2194	MRA_2210
+6236	qcrA	Rv2195	MRA_2211
+4006	qcrB	Rv2196	MRA_2212
+540	x	Rv2197c	MRA_2213
+2459	mmpS3	Rv2198c	MRA_2214
+7049	x	Rv2199c	MRA_2215
+5177	ctaC	Rv2200c	MRA_2216
+5933	asnB	Rv2201	MRA_2217
+3540	cbhK	Rv2202c	MRA_2218
+3771	x	Rv2203	MRA_2219
+5120	x	Rv2204c	MRA_2220
+2354	x	Rv2205c	MRA_2221
+2152	x	Rv2206	MRA_2222
+4741	cobT	Rv2207	MRA_2223
+926	cobS	Rv2208	MRA_2224
+4758	x	Rv2209	MRA_2225
+3554	ilvE	Rv2210c	MRA_2226
+3104	gcvT	Rv2211c	MRA_2227
+1877	x	Rv2212	MRA_2228
+4234	pepB	Rv2213	MRA_2229
+2174	ephD	Rv2214c	MRA_2230
+2979	dlaT	Rv2215	MRA_2231
+598	x	Rv2216	MRA_2232
+1567	lipB	Rv2217	MRA_2233
+1309	lipA	Rv2218	MRA_2234
+4303	x	Rv2219	MRA_2235
+571	x	Rv2219A	MRA_2236
+4559	glnA1	Rv2220	MRA_2237
+3348	glnE	Rv2221c	MRA_2238
+502	glnA2	Rv2222c	MRA_2239
+263	slpD	Rv2223c	MRA_2240
+2719	x	Rv2224c	MRA_2241
+5359	panB	Rv2225	MRA_2243
+4599	rnpB	Rv2226	MRA_2244
+6831	x	Rv2227	x
+1133	x	Rv2228c	MRA_2247
+2260	x	Rv2229c	MRA_2248
+72	x	Rv2230c	MRA_2249
+102	cobC	Rv2231c	MRA_2250
+1217	x	Rv2232	MRA_2252
+4867	ptpA	Rv2234	MRA_2253
+2906	surF1	Rv2235	MRA_2254
+2263	cobD	Rv2236c	MRA_2255
+642	x	Rv2237	MRA_2256
+43	ahpE	Rv2238c	MRA_2258
+1796	x	Rv2239c	MRA_2259
+2567	x	Rv2240c	MRA_2260
+197	aceE	Rv2241	MRA_2261
+1255	x	Rv2242	MRA_2262
+1146	fabD	Rv2243	MRA_2263
+6712	acpP	Rv2244	MRA_2264
+1062	kasA	Rv2245	MRA_2265
+2863	kasB	Rv2246	MRA_2266
+6212	accD6	Rv2247	MRA_2267
+291	x	Rv2248	MRA_2268
+4045	glpD1	Rv2249c	MRA_2269
+5118	x	Rv2250A	x
+997	x	Rv2250c	MRA_2270
+3443	x	Rv2251	MRA_2271
+3844	x	Rv2252	MRA_2272
+3213	x	Rv2253	MRA_2273
+5305	x	Rv2254c	MRA_2274
+6942	x	Rv2255c	MRA_2275
+5055	x	Rv2256c	MRA_2277
+974	x	Rv2257c	MRA_2278
+530	x	Rv2258c	MRA_2279
+2884	adhE2	Rv2259	MRA_2280
+4392	x	Rv2260	MRA_2281
+708	x	Rv2261c	MRA_2281A
+4	x	Rv2262c	MRA_2282
+2723	x	Rv2263	MRA_2283
+1247	x	Rv2264c	MRA_2284
+1909	x	Rv2265	MRA_2285
+1618	cyp124	Rv2266	MRA_2286
+2586	x	Rv2267c	MRA_2287
+577	cyp128	Rv2268c	MRA_2288
+1980	x	Rv2269c	MRA_2288A
+1792	lppN	Rv2270	MRA_2289
+6528	x	Rv2271	MRA_2290
+3617	x	Rv2272	MRA_2291
+3994	x	Rv2273	MRA_2292
+2088	x	Rv2274c	MRA_2293
+2883	x	Rv2275	MRA_2294
+3284	cyp121	Rv2276	MRA_2295
+2675	x	Rv2277c	MRA_2296
+58	x	Rv2280	MRA_2299
+134	pitB	Rv2281	MRA_2300
+3811	x	Rv2282c	MRA_2301
+7214	x	Rv2283	MRA_2301A
+1964	lipM	Rv2284	MRA_2302
+2481	x	Rv2285	MRA_2303
+5262	x	Rv2286c	MRA_2304
+5166	yjcE	Rv2287	MRA_2305
+6139	x	Rv2288	MRA_2305A
+3090	cdh	Rv2289	MRA_2306
+1494	lppO	Rv2290	MRA_2307
+3924	sseB	Rv2291	MRA_2308
+1590	x	Rv2292c	MRA_2309
+3045	x	Rv2293c	MRA_2310
+6076	x	Rv2294	MRA_2311
+2457	x	Rv2295	MRA_2312
+1240	x	Rv2296	MRA_2313
+5766	x	Rv2297	MRA_2314
+1681	x	Rv2298	MRA_2315
+1979	htpG	Rv2299c	MRA_2316
+2499	x	Rv2300c	MRA_2317
+4186	cut2	Rv2301	MRA_2318
+4933	x	Rv2302	MRA_2318A
+4863	x	Rv2303c	MRA_2319
+2672	x	Rv2304c	MRA_2320
+3977	x	Rv2305	MRA_2321
+3507	x	Rv2306A	x
+3384	x	Rv2306B	MRA_2322
+4905	x	Rv2307A	MRA_2324
+6595	x	Rv2307B	MRA_2325
+7474	x	Rv2307D	x
+1369	bem46	Rv2307c	MRA_2323
+2511	x	Rv2308	MRA_2327
+1440	x	Rv2309A	MRA_2329A
+529	x	Rv2309c	MRA_2329
+317	x	Rv2310	MRA_2330
+2614	x	Rv2311	MRA_2331
+6797	x	Rv2312	MRA_2332
+4170	x	Rv2313c	MRA_2333
+3633	x	Rv2314c	MRA_2334
+2067	x	Rv2315c	MRA_2335
+99	uspA	Rv2316	MRA_2336
+1503	uspB	Rv2317	MRA_2337
+5763	uspC	Rv2318	MRA_2338
+3136	x	Rv2319c	MRA_2339
+1285	rocE	Rv2320c	MRA_2340
+5381	rocD2	Rv2321c	MRA_2341
+231	rocD1	Rv2322c	MRA_2342
+4253	x	Rv2323c	MRA_2343
+960	x	Rv2324	MRA_2344
+3949	x	Rv2325c	MRA_2345
+1808	x	Rv2326c	MRA_2346
+754	x	Rv2327	MRA_2347
+2645	PE23	Rv2328	MRA_2348
+1141	narK1	Rv2329c	MRA_2349
+4429	lppP	Rv2330c	MRA_2350
+3341	x	Rv2331	MRA_2351
+2089	x	Rv2331A	MRA_2351A
+1816	mez	Rv2332	MRA_2352
+4497	x	Rv2333c	MRA_2353
+711	cysK1	Rv2334	MRA_2354
+1136	cysE	Rv2335	MRA_2355
+1155	x	Rv2336	MRA_2356
+1383	x	Rv2337c	MRA_2357
+2391	moeW	Rv2338c	MRA_2358
+549	mmpL9	Rv2339	MRA_2359
+581	PE_PGRS39	Rv2340c	MRA_2360
+3776	lppQ	Rv2341	MRA_2361
+988	x	Rv2342	MRA_2362
+1304	dnaG	Rv2343c	MRA_2363
+3029	dgt	Rv2344c	MRA_2364
+741	x	Rv2345	MRA_2365
+930	x	Rv2348c	MRA_2368
+1095	plcC	Rv2349c	MRA_2369
+2756	plcB	Rv2351c	MRA_2371
+888	PPE38	Rv2352c	MRA_2376
+4263	PPE39	Rv2353c	MRA_2377
+1566	PPE40	Rv2356c	MRA_2380
+1047	glyS	Rv2357c	MRA_2381
+6985	x	Rv2358	MRA_2382
+3050	furB	Rv2359	MRA_2383
+5404	x	Rv2360c	MRA_2384
+2973	uppS-2	Rv2361c	MRA_2385
+2090	recO	Rv2362c	MRA_2386
+688	amiA2	Rv2363	MRA_2387
+2131	era	Rv2364c	MRA_2388
+5837	x	Rv2365c	MRA_2389
+2657	x	Rv2366c	MRA_2390
+140	x	Rv2367c	MRA_2391
+740	phoH1	Rv2368c	MRA_2392
+7352	x	Rv2369c	MRA_2392A
+2963	x	Rv2370c	MRA_2393
+2584	PE_PGRS40	Rv2371	MRA_2394
+507	x	Rv2372c	MRA_2395
+4935	dnaJ2	Rv2373c	MRA_2396
+3269	hrcA	Rv2374c	MRA_2397
+7110	x	Rv2375	MRA_2398
+4967	cfp2	Rv2376c	MRA_2399
+6269	mbtH	Rv2377c	MRA_2400
+7253	mbtG	Rv2378c	MRA_2401
+96	mbtF	Rv2379c	MRA_2402
+1246	mbtE	Rv2380c	MRA_2403
+5710	mbtD	Rv2381c	MRA_2404
+944	mbtC	Rv2382c	MRA_2405
+254	mbtB	Rv2383c	MRA_2406
+4480	mbtA	Rv2384	MRA_2407
+4610	mbtJ	Rv2385	MRA_2408
+4853	mbtI	Rv2386c	MRA_2409
+5108	x	Rv2387	MRA_2411
+3965	hemN	Rv2388c	MRA_2412
+2160	rpfD	Rv2389c	MRA_2413
+745	x	Rv2390c	MRA_2414
+669	nirA	Rv2391	MRA_2415
+3159	cysH	Rv2392	MRA_2416
+2412	x	Rv2393	MRA_2417
+1742	ggtB	Rv2394	MRA_2418
+3143	x	Rv2395	MRA_2419
+1221	PE_PGRS41	Rv2396	MRA_2420
+1392	cysA1	Rv2397c	MRA_2421
+4072	cysW	Rv2398c	MRA_2422
+5876	cysT	Rv2399c	MRA_2423
+4117	subI	Rv2400c	MRA_2424
+3238	x	Rv2401	x
+6284	x	Rv2401A	MRA_2425
+3321	x	Rv2402	MRA_2426
+3099	lppR	Rv2403c	MRA_2427
+1841	lepA	Rv2404c	MRA_2428
+4916	x	Rv2405	MRA_2429
+1572	x	Rv2406c	MRA_2430
+308	x	Rv2407	MRA_2431
+242	PE24	Rv2408	MRA_2433
+648	x	Rv2409c	MRA_2434
+6215	x	Rv2410c	MRA_2435
+3845	x	Rv2411c	MRA_2436
+4331	rpsT	Rv2412	MRA_2437
+1403	x	Rv2413c	MRA_2438
+1282	x	Rv2414c	MRA_2439
+367	x	Rv2415c	MRA_2440
+1014	eis	Rv2416c	MRA_2442
+755	x	Rv2417c	MRA_2443
+1647	x	Rv2418c	MRA_2444
+3180	x	Rv2419c	MRA_2445
+1917	x	Rv2420c	MRA_2446
+2448	nadD	Rv2421c	MRA_2447
+7424	x	Rv2422	MRA_2448
+3592	x	Rv2423	MRA_2449
+621	x	Rv2424c	MRA_2450
+5380	x	Rv2425c	MRA_2451
+3791	x	Rv2426c	MRA_2452
+1161	proA	Rv2427c	MRA_2453
+2687	ahpC	Rv2428	MRA_2455
+4852	ahpD	Rv2429	MRA_2456
+4744	PPE41	Rv2430c	MRA_2457
+4939	PE25	Rv2431c	MRA_2458
+753	x	Rv2432c	MRA_2458A
+5501	x	Rv2433c	MRA_2459
+1001	x	Rv2434c	MRA_2460
+3820	x	Rv2435c	MRA_2461
+3638	rbsK	Rv2436	MRA_2462
+1573	x	Rv2437	MRA_2463
+5896	x	Rv2438A	x
+474	nadE	Rv2438c	MRA_2464
+1610	proB	Rv2439c	MRA_2465
+2646	obgE	Rv2440c	MRA_2466
+3375	rpmA	Rv2441c	MRA_2467
+1178	rplU	Rv2442c	MRA_2468
+4378	dctA	Rv2443	MRA_2469
+511	rne	Rv2444c	MRA_2470
+2873	ndk	Rv2445c	MRA_2471
+4530	x	Rv2446c	MRA_2472
+1070	folC	Rv2447c	MRA_2473
+3314	valS	Rv2448c	MRA_2474
+4085	x	Rv2449c	MRA_2475
+1468	rpfE	Rv2450c	MRA_2476
+3015	x	Rv2451	MRA_2477
+6084	x	Rv2452c	MRA_2478
+1315	mobA	Rv2453c	MRA_2479
+2453	x	Rv2454c	MRA_2480
+2378	x	Rv2455c	MRA_2481
+1677	x	Rv2456c	MRA_2482
+3468	clpX	Rv2457c	MRA_2483
+4511	mmuM	Rv2458	MRA_2484
+62	x	Rv2459	MRA_2485
+6798	clpP2	Rv2460c	MRA_2486
+853	clpP	Rv2461c	MRA_2487
+3494	tig	Rv2462c	MRA_2488
+4615	lipP	Rv2463	MRA_2489
+232	fpg-1	Rv2464c	MRA_2490
+1762	x	Rv2465c	MRA_2491
+44	x	Rv2466c	x
+1485	pepN	Rv2467	MRA_2493
+6888	x	Rv2468c	MRA_2494
+3165	x	Rv2469c	MRA_2495
+2228	glbO	Rv2470	MRA_2496
+369	aglA	Rv2471	MRA_2497
+4919	x	Rv2472	MRA_2498
+877	x	Rv2473	MRA_2499
+412	x	Rv2474c	MRA_2500
+2507	x	Rv2475c	MRA_2500A
+1513	gdh	Rv2476c	MRA_2501
+124	x	Rv2477c	MRA_2502
+5406	x	Rv2478c	MRA_2503
+7198	x	Rv2481c	MRA_2506
+1794	plsB2	Rv2482c	MRA_2507
+4424	plsC	Rv2483c	MRA_2508
+2161	x	Rv2484c	MRA_2509
+3863	lipQ	Rv2485c	MRA_2510
+2894	echA14	Rv2486	MRA_2511
+20	PE_PGRS42	Rv2487c	MRA_2512
+4187	x	Rv2488c	MRA_2513
+1393	x	Rv2489c	MRA_2514
+2862	PE_PGRS43	Rv2490c	MRA_2515
+4298	x	Rv2491	MRA_2517
+97	x	Rv2492	MRA_2518
+2886	x	Rv2493	MRA_2519
+1239	x	Rv2494	MRA_2520
+1883	pdhC	Rv2495c	MRA_2521
+2189	pdhB	Rv2496c	MRA_2522
+846	pdhA	Rv2497c	MRA_2523
+1985	citE	Rv2498c	MRA_2524
+4417	x	Rv2499c	MRA_2525
+53	fadE19	Rv2500c	MRA_2526
+2313	accA1	Rv2501c	MRA_2527
+3642	accD1	Rv2502c	MRA_2528
+3708	scoB	Rv2503c	MRA_2529
+183	scoA	Rv2504c	MRA_2530
+1580	fadD35	Rv2505c	MRA_2531
+5114	x	Rv2506	MRA_2532
+4158	x	Rv2507	MRA_2533
+1896	x	Rv2508c	MRA_2534
+1330	x	Rv2509	MRA_2535
+533	x	Rv2510c	MRA_2536
+5343	orn	Rv2511	MRA_2537
+790	x	Rv2513	MRA_2540
+219	x	Rv2514c	MRA_2541
+2515	x	Rv2515c	MRA_2542
+2472	x	Rv2516c	MRA_2543
+6688	x	Rv2517c	MRA_2544
+2842	lppS	Rv2518c	MRA_2545
+4435	PE26	Rv2519	MRA_2546
+7529	x	Rv2520c	MRA_2547
+2999	bcp	Rv2521	MRA_2548
+2715	x	Rv2522c	MRA_2549
+1799	acpS	Rv2523c	MRA_2550
+330	fas	Rv2524c	MRA_2551
+2108	x	Rv2525c	MRA_2552
+4875	x	Rv2526	MRA_2553
+3121	x	Rv2527	MRA_2554
+5647	mrr	Rv2528c	MRA_2555
+3082	x	Rv2529	MRA_2556
+4428	x	Rv2530A	MRA_2558
+2271	x	Rv2530c	MRA_2557
+1342	x	Rv2531c	MRA_2559
+5196	x	Rv2532c	MRA_2560
+6833	nusB	Rv2533c	MRA_2561
+5491	efp	Rv2534c	MRA_2562
+1338	pepQ	Rv2535c	MRA_2563
+2924	x	Rv2536	MRA_2564
+6743	aroD	Rv2537c	MRA_2565
+399	aroB	Rv2538c	MRA_2566
+4264	aroK	Rv2539c	MRA_2567
+766	aroF	Rv2540c	MRA_2568
+1622	x	Rv2541	MRA_2569
+768	x	Rv2542	MRA_2570
+196	lppA	Rv2544	MRA_2572
+3219	x	Rv2545	MRA_2573
+351	x	Rv2546	MRA_2574
+2981	x	Rv2547	MRA_2575
+823	x	Rv2548	MRA_2576
+1220	x	Rv2549c	MRA_2578
+5825	x	Rv2550c	MRA_2579
+2035	aroE	Rv2551c	MRA_2580
+1327	aroE	Rv2552c	MRA_2581
+3151	x	Rv2553c	MRA_2582
+6185	x	Rv2554c	MRA_2583
+850	alaS	Rv2555c	MRA_2584
+1033	x	Rv2556c	MRA_2585
+1686	x	Rv2557	MRA_2586
+6342	x	Rv2558	MRA_2587
+1932	x	Rv2559c	MRA_2588
+976	x	Rv2560	MRA_2589
+2828	x	Rv2561	x
+2602	x	Rv2562	MRA_2591
+2394	x	Rv2563	MRA_2592
+1558	glnQ	Rv2564	MRA_2593
+4322	x	Rv2565	MRA_2594
+1708	x	Rv2566	MRA_2595
+2571	x	Rv2567	MRA_2596
+4556	x	Rv2568c	MRA_2597
+2030	x	Rv2569c	MRA_2598
+2557	x	Rv2570	MRA_2599
+1415	x	Rv2571c	MRA_2600
+837	aspS	Rv2572c	MRA_2601
+9	x	Rv2573	MRA_2602
+3437	x	Rv2574	MRA_2603
+5483	x	Rv2575	MRA_2604
+3421	x	Rv2576c	MRA_2605
+862	x	Rv2577	MRA_2606
+2944	x	Rv2578c	MRA_2607
+5235	dhaA	Rv2579	MRA_2608
+726	hisS	Rv2580c	MRA_2609
+5496	x	Rv2581c	MRA_2610
+523	ppiB	Rv2582	MRA_2611
+1307	relA	Rv2583c	MRA_2612
+2307	apt	Rv2584c	MRA_2613
+2048	x	Rv2585c	MRA_2614
+1607	secF	Rv2586c	MRA_2615
+2568	secD	Rv2587c	MRA_2616
+438	yajC	Rv2588c	MRA_2617
+1080	gabT	Rv2589	MRA_2618
+870	fadD9	Rv2590	MRA_2619
+2421	PE_PGRS44	Rv2591	MRA_2620
+658	ruvB	Rv2592c	MRA_2621
+5641	ruvA	Rv2593c	MRA_2622
+5449	ruvC	Rv2594c	MRA_2623
+3056	x	Rv2595	MRA_2623A
+3114	x	Rv2596	MRA_2624
+1007	x	Rv2597	MRA_2625
+1644	x	Rv2598	MRA_2626
+4168	x	Rv2599	MRA_2627
+3510	x	Rv2600	MRA_2628
+331	speE	Rv2601	MRA_2629
+3895	x	Rv2601A	MRA_2629A
+1775	x	Rv2602	MRA_2630
+5696	x	Rv2603c	MRA_2631
+1552	x	Rv2604c	MRA_2632
+1175	tesB2	Rv2605c	MRA_2633
+1031	x	Rv2606c	MRA_2634
+2768	pdxH	Rv2607	MRA_2635
+5213	PPE42	Rv2608	MRA_2636
+795	x	Rv2609c	MRA_2637
+3003	pimA	Rv2610c	MRA_2638
+1298	x	Rv2611c	MRA_2639
+2735	pgsA1	Rv2612c	MRA_2640
+4356	x	Rv2613c	MRA_2641
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+3223	thrS	Rv2614c	MRA_2642
+1199	PE_PGRS45	Rv2615c	MRA_2643
+733	x	Rv2616	MRA_2644
+2891	x	Rv2617c	MRA_2645
+6503	x	Rv2618	MRA_2646
+5045	x	Rv2619c	MRA_2647
+7259	x	Rv2620c	MRA_2648
+2580	x	Rv2621c	MRA_2649
+2038	x	Rv2622	MRA_2650
+5779	TB31.7	Rv2623	MRA_2651
+4206	x	Rv2624c	MRA_2652
+6000	x	Rv2625c	MRA_2653
+774	x	Rv2626c	MRA_2654
+4039	x	Rv2627c	MRA_2655
+188	x	Rv2628	MRA_2656
+6577	x	Rv2629	MRA_2657
+2536	x	Rv2630	MRA_2658
+335	x	Rv2631	MRA_2659
+2062	x	Rv2632c	MRA_2660
+622	x	Rv2633c	MRA_2661
+2832	PE_PGRS46	Rv2634c	MRA_2663
+712	x	Rv2635	MRA_2664
+4049	x	Rv2636	MRA_2665
+503	dedA	Rv2637	MRA_2666
+590	x	Rv2638	MRA_2667
+4340	x	Rv2639c	MRA_2668
+4632	x	Rv2640c	MRA_2669
+634	cadI	Rv2641	MRA_2670
+1554	x	Rv2642	MRA_2671
+5152	arsC	Rv2643	MRA_2672
+4849	x	Rv2644c	x
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+2437	x	Rv2646	MRA_2675
+534	x	Rv2647	MRA_2676
+2074	x	Rv2651c	MRA_1588
+2014	x	Rv2652c	MRA_2682
+3520	x	Rv2653c	MRA_2683
+564	x	Rv2654c	MRA_2684
+2176	x	Rv2655c	MRA_2685
+3364	x	Rv2656c	MRA_2686
+5229	x	Rv2657c	MRA_2687
+2281	x	Rv2658c	MRA_2688
+3046	x	Rv2659c	MRA_2689
+480	x	Rv2660c	MRA_2690
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+6921	x	Rv2662	MRA_2690A
+1669	x	Rv2663	MRA_2691
+2190	x	Rv2664	MRA_2692
+7052	x	Rv2665	MRA_2693
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+945	clpC2	Rv2667	MRA_2695
+1035	x	Rv2668	MRA_2696
+6125	x	Rv2669	MRA_2697
+5580	x	Rv2670c	MRA_2698
+4727	ribD	Rv2671	MRA_2699
+170	x	Rv2672	MRA_2700
+747	x	Rv2673	MRA_2701
+5626	x	Rv2674	MRA_2702
+2505	x	Rv2675c	MRA_2703
+2294	x	Rv2676c	MRA_2704
+1124	hemY	Rv2677c	MRA_2705
+4134	hemE	Rv2678c	MRA_2706
+3999	echA15	Rv2679	MRA_2707
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+3566	x	Rv2683	MRA_2711
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+2454	arsB1	Rv2685	MRA_2713
+2790	x	Rv2686c	MRA_2714
+1650	x	Rv2687c	MRA_2715
+342	x	Rv2688c	MRA_2716
+84	x	Rv2689c	MRA_2717
+986	x	Rv2690c	MRA_2718
+386	ceoB	Rv2691	MRA_2719
+1452	ceoC	Rv2692	MRA_2720
+5487	x	Rv2693c	MRA_2721
+900	x	Rv2694c	MRA_2722
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+3226	x	Rv2696c	MRA_2724
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+157	x	Rv2698	MRA_2726
+3982	x	Rv2699c	MRA_2727
+3988	x	Rv2700	MRA_2728
+5992	suhB	Rv2701c	MRA_2729
+1533	ppgK	Rv2702	MRA_2730
+5244	sigA	Rv2703	MRA_2731
+3484	x	Rv2704	MRA_2732
+2016	x	Rv2705c	MRA_2733
+3505	x	Rv2706c	MRA_2734
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+3945	x	Rv2708c	MRA_2736
+963	x	Rv2709	MRA_2737
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+2959	x	Rv2712c	MRA_2740
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+1623	lexA	Rv2720	MRA_2748
+1114	x	Rv2721c	MRA_2749
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+2350	miaA	Rv2727c	MRA_2754
+4403	x	Rv2728c	MRA_2755
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+777	x	Rv2745c	MRA_2771
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+5750	x	Rv2749	MRA_2774A
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+2923	hsdS.1	Rv2755c	MRA_2780
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+664	x	Rv2757c	MRA_2782
+5942	x	Rv2758c	MRA_2783
+3934	x	Rv2759c	MRA_2784
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+2315	hsdS	Rv2761c	MRA_2786
+3857	x	Rv2762c	MRA_2787
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+3252	x	Rv2765	MRA_2790
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+3870	x	Rv2954c	MRA_2981
+792	x	Rv2955c	MRA_2982
+2367	x	Rv2956	MRA_2983
+3953	x	Rv2957	MRA_2984
+2653	x	Rv2958c	MRA_2985
+3993	x	Rv2959c	MRA_2986
+4113	x	Rv2960c	MRA_2987
+5462	x	Rv2961	x
+2998	x	Rv2962c	MRA_2989
+763	x	Rv2963	MRA_2990
+3342	purU	Rv2964	MRA_2991
+5024	coaD	Rv2965c	MRA_2993
+2428	x	Rv2966c	MRA_2994
+956	pca	Rv2967c	MRA_2995
+746	x	Rv2968c	MRA_2996
+6918	x	Rv2969c	MRA_2997
+7383	x	Rv2970A	MRA_2998A
+3340	lipN	Rv2970c	MRA_2998
+1194	x	Rv2971	MRA_2999
+371	x	Rv2972c	MRA_3000
+4014	recG	Rv2973c	MRA_3001
+2781	x	Rv2974c	MRA_3002
+6174	x	Rv2975c	MRA_3003
+3022	ung	Rv2976c	MRA_3005
+5489	thiL	Rv2977c	MRA_3006
+1684	x	Rv2978c	x
+269	x	Rv2979c	MRA_3008
+2780	x	Rv2980	MRA_3009
+2695	ddl	Rv2981c	MRA_3010
+2290	gpsA	Rv2982c	MRA_3011
+3668	x	Rv2983	MRA_3012
+131	ppk	Rv2984	MRA_3013
+2849	mutT1	Rv2985	MRA_3014
+5047	hupB	Rv2986c	MRA_3015
+5797	leuD	Rv2987c	MRA_3016
+4514	leuC	Rv2988c	MRA_3017
+2659	x	Rv2989	MRA_3018
+1596	x	Rv2990c	MRA_3019
+1188	x	Rv2991	MRA_3020
+5099	gltX	Rv2992c	MRA_3021
+3721	x	Rv2993c	MRA_3022
+3069	x	Rv2994	MRA_3023
+1429	leuB	Rv2995c	MRA_3024
+1215	serA1	Rv2996c	MRA_3025
+738	x	Rv2997	MRA_3026
+216	x	Rv2998	MRA_3027
+3236	x	Rv2998A	x
+1449	lppY	Rv2999	MRA_3028
+5593	x	Rv3000	MRA_3029
+1321	ilvC	Rv3001c	MRA_3031
+5065	ilvH	Rv3002c	MRA_3032
+278	ilvB1	Rv3003c	MRA_3033
+3131	cfp6	Rv3004	MRA_3034
+701	x	Rv3005c	MRA_3035
+1838	lppZ	Rv3006	MRA_3036
+2524	x	Rv3007c	MRA_3037
+1501	x	Rv3008	MRA_3038
+1116	gatB	Rv3009c	MRA_3039
+5886	pfkA	Rv3010c	MRA_3040
+1795	gatA	Rv3011c	MRA_3041
+3772	gatC	Rv3012c	MRA_3042
+144	x	Rv3013	MRA_3043
+3133	ligA	Rv3014c	MRA_3044
+4055	x	Rv3015c	MRA_3045
+2329	lpqA	Rv3016	MRA_3046
+2597	esxQ	Rv3017c	MRA_3047
+2144	PE27A	Rv3018A	MRA_3049
+1591	PPE46	Rv3018c	MRA_3048
+2073	esxR	Rv3019c	MRA_3050
+459	esxS	Rv3020c	MRA_3051
+5282	PPE47	Rv3021c	x
+182	PE29	Rv3022A	MRA_3053
+2246	mnmA	Rv3024c	MRA_3055
+1781	iscS	Rv3025c	MRA_3056
+4400	x	Rv3026c	MRA_3057
+3712	x	Rv3027c	MRA_3058
+2855	fixB	Rv3028c	MRA_3059
+4086	fixA	Rv3029c	MRA_3060
+2210	x	Rv3030	MRA_3061
+1050	x	Rv3031	MRA_3062
+1053	x	Rv3032	MRA_3063
+3054	x	Rv3033	MRA_3065
+801	x	Rv3034c	MRA_3066
+1214	x	Rv3035	MRA_3067
+2064	TB22.2	Rv3036c	MRA_3068
+3176	x	Rv3037c	MRA_3069
+5411	x	Rv3038c	MRA_3070
+736	echA17	Rv3039c	MRA_3071
+4951	x	Rv3040c	MRA_3072
+4692	x	Rv3041c	MRA_3073
+3753	serB2	Rv3042c	MRA_3074
+498	ctaD	Rv3043c	MRA_3075
+514	fecB	Rv3044	MRA_3076
+150	adhC	Rv3045	MRA_3077
+4506	x	Rv3046c	MRA_3078
+6498	x	Rv3047c	MRA_3079
+6483	nrdF2	Rv3048c	MRA_3080
+1646	x	Rv3049c	MRA_3081
+6787	x	Rv3050c	MRA_3082
+1728	nrdE	Rv3051c	MRA_3083
+3843	nrdI	Rv3052c	MRA_3084
+6152	nrdH	Rv3053c	MRA_3085
+5029	x	Rv3054c	MRA_3086
+1938	x	Rv3055	MRA_3087
+2972	dinP	Rv3056	MRA_3088
+2107	x	Rv3057c	MRA_3089
+3304	x	Rv3058c	MRA_3090
+1268	cyp136	Rv3059	MRA_3091
+627	x	Rv3060c	MRA_3092
+1760	fadE22	Rv3061c	MRA_3093
+2543	ligB	Rv3062	MRA_3094
+297	cstA	Rv3063	MRA_3095
+1190	x	Rv3064c	MRA_3097
+6171	mmr	Rv3065	MRA_3098
+4102	x	Rv3066	MRA_3099
+1037	x	Rv3067	MRA_3100
+4921	pgmA	Rv3068c	MRA_3101
+4682	ccrB	Rv3069	MRA_3102
+3958	ccrB	Rv3070	MRA_3103
+6318	x	Rv3071	MRA_3104
+2277	x	Rv3072c	MRA_3105
+2401	x	Rv3073c	MRA_3106
+2202	x	Rv3074	MRA_3107
+2424	x	Rv3075c	MRA_3108
+2029	x	Rv3076	MRA_3109
+3841	x	Rv3077	MRA_3110
+3861	hab	Rv3078	MRA_3111
+1029	x	Rv3079c	MRA_3112
+679	pknK	Rv3080c	MRA_3113
+2731	x	Rv3081	MRA_3113A
+2902	virS	Rv3082c	MRA_3114
+139	x	Rv3083	MRA_3115
+915	lipR	Rv3084	MRA_3116
+5479	x	Rv3085	MRA_3117
+5578	adhD	Rv3086	MRA_3118
+659	x	Rv3087	MRA_3119
+201	x	Rv3088	MRA_3120
+483	fadD13	Rv3089	MRA_3121
+1243	x	Rv3090	MRA_3122
+838	x	Rv3091	MRA_3123
+4948	x	Rv3092c	MRA_3124
+3425	x	Rv3093c	MRA_3125
+4220	x	Rv3094c	MRA_3126
+7085	x	Rv3095	MRA_3127
+1724	x	Rv3096	MRA_3128
+258	lipY	Rv3097c	MRA_3129
+1048	ssr	Rv3098c	MRA_3130
+2072	x	Rv3099c	MRA_3131
+5186	smpB	Rv3100c	MRA_3132
+839	ftsX	Rv3101c	MRA_3133
+4860	ftsE	Rv3102c	MRA_3134
+2257	x	Rv3103c	MRA_3135
+409	x	Rv3104c	MRA_3136
+5700	prfB	Rv3105c	MRA_3137
+3769	fprA	Rv3106	MRA_3138
+6449	agpS	Rv3107c	MRA_3139
+6274	x	Rv3108	MRA_3140
+989	moaA1	Rv3109	MRA_3141
+2784	moaB1	Rv3110	MRA_3142
+4171	moaC	Rv3111	MRA_3143
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+1581	cysA3	Rv3117	MRA_3149
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+1660	x	Rv3120	MRA_3152
+5391	cyp141	Rv3121	MRA_3153
+442	x	Rv3122	MRA_3154
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+3739	x	Rv3124	MRA_3156
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+3805	x	Rv3126c	MRA_3158
+6040	x	Rv3127	MRA_3159
+2414	x	Rv3129	MRA_3161
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+5313	x	Rv3131	MRA_3163
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+6952	devR	Rv3133c	MRA_3165
+3221	x	Rv3134c	MRA_3166
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+3278	fadB4	Rv3141	MRA_3174
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+82	nuoB	Rv3146	MRA_3179
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+6545	nuoE	Rv3149	MRA_3182
+1168	nuoF	Rv3150	MRA_3183
+3685	nuoG	Rv3151	MRA_3184
+1073	nuoH	Rv3152	MRA_3185
+3944	nuoI	Rv3153	MRA_3186
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+6950	nuoK	Rv3155	MRA_3188
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+2880	x	Rv3160c	MRA_3193
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+4762	x	Rv3177	MRA_3210
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+45	idsB	Rv3383c	MRA_3423
+393	x	Rv3384c	MRA_3424
+3441	x	Rv3385c	MRA_3425
+2377	x	Rv3386	MRA_3426
+387	x	Rv3387	MRA_3427
+4241	PE_PGRS52	Rv3388	x
+3696	x	Rv3389c	x
+2628	lpqD	Rv3390	MRA_3429
+3896	acrA1	Rv3391	MRA_3430
+2707	cmaA1	Rv3392c	MRA_3431
+2484	iunH	Rv3393	MRA_3432
+1941	x	Rv3394c	MRA_3433
+222	x	Rv3395A	MRA_3435
+682	x	Rv3395c	MRA_3434
+552	guaA	Rv3396c	MRA_3436
+6102	phyA	Rv3397c	MRA_3437
+4786	idsA1	Rv3398c	MRA_3438
+812	x	Rv3399	MRA_3439
+4954	x	Rv3400	MRA_3440
+6036	x	Rv3401	MRA_3441
+467	x	Rv3402c	MRA_3442
+1337	x	Rv3403c	MRA_3443
+4584	x	Rv3404c	MRA_3444
+3233	x	Rv3405c	MRA_3445
+4178	x	Rv3406	MRA_3446
+1235	x	Rv3407	MRA_3447
+5181	x	Rv3408	MRA_3448
+6707	choD	Rv3409c	MRA_3449
+3381	guaB3	Rv3410c	MRA_3450
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+5219	x	Rv3412	MRA_3452
+1272	x	Rv3413c	MRA_3453
+3918	sigD	Rv3414c	MRA_3454
+2473	x	Rv3415c	MRA_3455
+3470	whiB3	Rv3416	MRA_3456
+1046	groEL	Rv3417c	MRA_3457
+2049	groES	Rv3418c	MRA_3458
+6988	gcp	Rv3419c	MRA_3459
+2232	rimI	Rv3420c	MRA_3460
+1303	x	Rv3421c	MRA_3461
+3268	x	Rv3422c	MRA_3462
+4838	alr	Rv3423c	MRA_3463
+6481	PPE58	Rv3426	MRA_3466
+687	x	Rv3427c	MRA_3467
+1267	x	Rv3428c	MRA_3468
+26	PPE59	Rv3429	MRA_3469
+5678	x	Rv3430c	MRA_3470
+211	x	Rv3431c	MRA_3472
+3216	gadB	Rv3432c	MRA_3473
+344	x	Rv3433c	MRA_3474
+2844	x	Rv3434c	MRA_3475
+835	x	Rv3435c	MRA_3476
+2953	glmS	Rv3436c	MRA_3477
+2794	x	Rv3437	x
+6953	x	Rv3438	MRA_3479
+1534	x	Rv3439c	MRA_3480
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+1628	rpsI	Rv3442c	MRA_3483
+108	rplM	Rv3443c	MRA_3484
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+1402	x	Rv3446c	MRA_3487
+256	x	Rv3447c	MRA_3488
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+4890	x	Rv3453	MRA_3494
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+4121	rplQ	Rv3456c	MRA_3497
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+264	rpsD	Rv3458c	MRA_3499
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+3640	rpsM	Rv3460c	MRA_3501
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+87	x	Rv3466	x
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+1545	ilvB2	Rv3470c	MRA_3510
+86	x	Rv3471c	MRA_3511
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+914	kgtP	Rv3476c	MRA_3516
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+16	x	Rv3479	MRA_3519
+5490	x	Rv3480c	MRA_3520
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+5888	x	Rv3488	MRA_3528
+4972	x	Rv3489	MRA_3529
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+3734	x	Rv3491	MRA_3531
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+3869	lprN	Rv3495c	MRA_3535
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+3290	mce4C	Rv3497c	MRA_3537
+2766	mce4B	Rv3498c	MRA_3538
+1200	mce4A	Rv3499c	MRA_3539
+3465	yrbE4B	Rv3500c	MRA_3540
+1725	yrbE4A	Rv3501c	MRA_3541
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+1387	fadE26	Rv3504	MRA_3544
+1654	fadE27	Rv3505	MRA_3545
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+4215	PE_PGRS53	Rv3507	MRA_3547
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+2958	x	Rv3510c	MRA_3550
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+236	x	Rv3517	MRA_3556
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+918	x	Rv3524	MRA_3563
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+160	x	Rv3527	MRA_3566
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+4554	bphI	Rv3534c	MRA_3573
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+4137	x	Rv3541c	MRA_3580
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+5450	fadE29	Rv3543c	MRA_3582
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+3140	cyp125	Rv3545c	MRA_3584
+6941	fadA5	Rv3546	MRA_3585
+4347	x	Rv3547	MRA_3586
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+6895	x	Rv3551	MRA_3590
+245	x	Rv3552	MRA_3591
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+1412	pirG	Rv3810	MRA_3850
+2626	x	Rv3811	MRA_3851
+1238	PE_PGRS62	Rv3812	MRA_3852
+5077	x	Rv3813c	MRA_3853
+1049	x	Rv3814c	MRA_3854
+4874	x	Rv3815c	MRA_3855
+5576	x	Rv3816c	MRA_3856
+3598	aph	Rv3817	MRA_3857
+2358	x	Rv3818	MRA_3858
+2926	x	Rv3819	MRA_3859
+527	papA2	Rv3820c	MRA_3860
+2960	x	Rv3821	MRA_3861
+3036	x	Rv3822	MRA_3862
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+1232	papA1	Rv3824c	MRA_3864
+694	pks2	Rv3825c	MRA_3865
+1617	fadD23	Rv3826	MRA_3866
+2569	x	Rv3827c	MRA_3867
+2590	x	Rv3828c	MRA_3868
+35	x	Rv3829c	MRA_3869
+67	x	Rv3830c	MRA_3870
+5007	x	Rv3831	MRA_3871
+2201	x	Rv3832c	MRA_3872
+5125	x	Rv3833	MRA_3873
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+358	x	Rv3835	MRA_3875
+2697	x	Rv3836	MRA_3876
+4865	x	Rv3837c	MRA_3877
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+383	x	Rv3839	MRA_3879
+5105	x	Rv3840	MRA_3880
+2105	bfrB	Rv3841	MRA_3881
+932	glpQ1	Rv3842c	MRA_3882
+2149	x	Rv3843c	MRA_3883
+3330	x	Rv3844	MRA_3884
+1779	x	Rv3845	MRA_3885
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+4547	x	Rv3848	MRA_3888
+5036	x	Rv3849	MRA_3889
+3549	x	Rv3850	MRA_3890
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+1354	menG	Rv3853	MRA_3893
+4924	ethA	Rv3854c	MRA_3894
+7374	ethR	Rv3855	MRA_3895
+3155	x	Rv3856c	MRA_3896
+6668	x	Rv3857c	MRA_3897
+3135	gltD	Rv3858c	MRA_3898
+50	gltB	Rv3859c	MRA_3899
+3629	x	Rv3860	MRA_3900
+7063	x	Rv3861	x
+3523	whiB6	Rv3862c	MRA_3901
+1903	x	Rv3863	MRA_3902
+105	x	Rv3864	MRA_3903
+5482	x	Rv3865	MRA_3904
+5562	x	Rv3866	MRA_3905
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+941	x	Rv3868	MRA_3907
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+1270	PPE68	Rv3873	MRA_3912
+343	esxB	Rv3874	MRA_3913
+2871	esxA	Rv3875	MRA_3914
+928	x	Rv3876	MRA_3915
+1061	x	Rv3877	MRA_3916
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+663	x	Rv3882c	MRA_3921
+190	mycP1	Rv3883c	MRA_3922
+673	x	Rv3884c	MRA_3923
+1872	x	Rv3885c	MRA_3924
+1257	mycP2	Rv3886c	MRA_3925
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+3726	x	Rv3888c	MRA_3927
+2261	x	Rv3889c	MRA_3928
+6425	esxC	Rv3890c	MRA_3929
+4796	esxD	Rv3891c	MRA_3930
+843	PPE69	Rv3892c	MRA_3931
+3150	PE36	Rv3893c	MRA_3932
+1683	x	Rv3894c	MRA_3933
+3996	x	Rv3895c	MRA_3934
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+5382	x	Rv3897c	MRA_3936
+5003	x	Rv3898c	MRA_3937
+1009	x	Rv3899c	MRA_3938
+874	x	Rv3900c	MRA_3939
+2551	x	Rv3901c	MRA_3940
+6290	x	Rv3902c	MRA_3941
+34	x	Rv3903c	MRA_3942
+693	esxE	Rv3904c	MRA_3943
+388	esxF	Rv3905c	MRA_3944
+6652	x	Rv3906c	MRA_3945
+5452	pcnA	Rv3907c	MRA_3946
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+1205	x	Rv3909	MRA_3948
+1739	x	Rv3910	MRA_3949
+620	sigM	Rv3911	MRA_3950
+2699	x	Rv3912	MRA_3951
+4317	trxB2	Rv3913	MRA_3952
+6740	trxC	Rv3914	MRA_3953
+876	x	Rv3915	MRA_3954
+4458	x	Rv3916c	MRA_3955
+2864	parB	Rv3917c	MRA_3956
+2094	parA	Rv3918c	MRA_3957
+2619	gidB	Rv3919c	MRA_3958
+4189	x	Rv3920c	MRA_3959
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+2321	x	Rv3922c	MRA_3961
+1424	rnpA	Rv3923c	MRA_3962
+5407	rpmH	Rv3924c	MRA_3963
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+5887	x	x	MRA_0082
+5555	nrp1	x	MRA_0105
+3280	x	x	MRA_0122
+4823	x	x	MRA_0286
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+6991	x	x	MRA_0376
+6348	x	x	MRA_0403
+3501	x	x	MRA_0459
+4211	x	x	MRA_0589
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+7084	x	x	MRA_0648
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+2139	x	x	MRA_0745
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+1547	x	x	MRA_0954
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+1736	x	x	MRA_1772
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+5	PPE31	x	MRA_1819
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+4749	x	x	MRA_2007
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+4363	x	x	MRA_2516
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+1322	x	x	MRA_2577
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+244	x	x	MRA_2679
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+1688	x	x	MRA_2898
+5388	x	x	MRA_2904
+3915	x	x	MRA_2951
+7120	x	x	MRA_2988
+967	x	x	MRA_2992
+5170	rpmB	x	MRA_3004
+4471	x	x	MRA_3030
+372	PPE	x	MRA_3052
+890	x	x	MRA_3064
+3005	x	x	MRA_3096
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+2528	x	x	MRA_3169
+5811	x	x	MRA_3212
+4979	x	x	MRA_3223
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+7050	x	x	MRA_3240
+6862	x	x	MRA_3265
+7057	x	x	MRA_3384
+7051	x	x	MRA_3391
+662	x	x	MRA_3428
+6795	x	x	MRA_3428A
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+7344	x	x	MRA_3553
+524	x	x	MRA_3634
+4364	PE_PGRS59	x	MRA_3635
+5650	x	x	MRA_3687
+7293	x	x	MRA_3701
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diff --git a/datasets/mtu173/input/gene_profiles.txt b/datasets/mtu173/input/gene_profiles.txt
new file mode 100644
index 0000000..8e26361
--- /dev/null
+++ b/datasets/mtu173/input/gene_profiles.txt
@@ -0,0 +1,7569 @@
+HaarlemNITR202 RGTB423 CASNITR204 OSDD493 OSDD105 NA-A0009 EAI_OSDD271 NA-A0008 RGTB327 CDC1551 CDC1551A PanR0305 PanR0316 PanR0301 SUMu001 SUMu011 SUMu010 98-R604_INH-RIF-EM GM_1503 KZN_V2475 KZN_1435 KZN_R506 KZN_605 KZN_4207_Broad KZN_4207 F11 HM PanR0708 PanR0906 PanR0703 PanR1007 PanR0611 PanR0704 PanR0805 PanR1101 PanR0403 UT205 PanR0313 PanR0610 PanR0903 PanR0404 PanR0409 PanR0503 PanR0402 PanR0203 PanR0602 CTRI-2 PanR0407 PanR0601 PanR0401 PanR0205 PanR0306 PanR0209 PanR0607 PanR [...]
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+Rv0034	2602	x	G L:1
+Rv0035	491	fadD34	G L:17,18,128
+Rv0036c	3704	x	G L:2,128,151,169,170
+Rv0037c	643	x	G L:14,88,151,167
+Rv0038	1794	algH	G L:92,151,163
+Rv0039c	4191	x	G L:2,100,151,166
+Rv0040c	3440	mtc28	G L:129,151
+Rv0041	1303	leuS	G L:22,151
+Rv0042c	3249	marR	G L:18,50,151
+Rv0043c	723	x	G L:6,7,151
+Rv0044c	775	x	G L:0,8,111,151,171
+Rv0045c	2423	x	G L:2,18,132_149,151_172
+Rv0046c	2593	ino1	G L:0,1,18,151,163,167
+Rv0047c	3351	x	G L:132,151
+Rv0048c	4616	x	G L:111,151
+Rv0049	7781	x	G L:95,128,151
+Rv0050	522	ponA1	G L:1,7,18,131,147,151,167
+Rv0051	3772	x	G L:2,8,17,110,129,151
+Rv0052	1340	x	G L:17,151
+Rv0053	8100	rpsF	G L:1,8,111,151
+Rv0054	6373	ssb	G L:151
+Rv0055	5143	rpsR	G L:151
+Rv0056	900	rplI	G L:0,8,151
+Rv0057	5320	x	G L:17,125,128,151
+Rv0058	80	dnaB	G L:17,22,129,151
+Rv0059	5379	x	G L:17,22,129,151
+Rv0060	1329	x	G L:8,22,110,125,151,167
+Rv0061	4142	x	G L:22,125,151
+Rv0062	1719	celA1	G L:2,22,123,127_129,137,151
+Rv0063	460	mitR	G L:22,151
+Rv0064	1839	x	G L:1,8,14,16,22,26,80,92,97,100,117,132,133,151,153
+Rv0065	1548	vapC1	G L:22,128,151
+Rv0066c	4719	icd2	G L:15,22,125,136,151
+Rv0067c	1152	x	G L:8,22,151
+Rv0068	5152	x	G L:8,22,151,163
+Rv0069c	1520	sdaA	G L:22,135,137,151
+Rv0070c	3476	glyA	G L:3,4,12,13,22,135,137,151
+Rv0071	1227	x	G L:0,12,13,22,135_147,149_172
+Rv0072	8041	x	G L:22,135_147,149_172
+Rv0073	4352	glnQ1	G L:22,132_147,149_172
+Rv0074	2025	x	G L:0,1,22,135,137,151
+Rv0075	4559	x	G L:3,4,22,135,137,151
+Rv0076c	2522	x	G L:22,151
+Rv0077c	1449	x	G L:22,151
+Rv0078	4264	acrR	G L:8,22,151
+Rv0078A	1021	x	G L:1,22,151
+Rv0079	2929	x	G L:18,22,151
+Rv0080	1030	x	G L:2,22,151
+Rv0081	1124	arsR	G L:22,125,151
+Rv0082	5069	x	G L:22,151
+Rv0083	3322	x	G L:151
+Rv0084	6603	hycD	G L:7,18,78,79,151
+Rv0085	5762	hycP	G L:6,22,98,115,151
+Rv0086	3128	hycQ	G L:2,125,137,151
+Rv0087	2308	hycE	G L:0,26,151,163
+Rv0088	2591	x	G L:125,151
+Rv0089	1570	x	G L:0,151
+Rv0090	744	x	G L:1,151
+Rv0091	7607	mtn	G L:0,1,8,128,151
+Rv0092	344	ctpA	G L:0,1,132_134,151
+Rv0093c	4968	x	G L:2,5,6,17,151
+Rv0095c	1844:1	x	G L:22,25,80,83,87,88,98,123,124,132_138,140,145_147,151_153,159,162_172
+Rv0096	35	PPE1	G L:0,22
+Rv0097	1488	x	G L:0,6,22
+Rv0098	5574	fcoT	G L:22
+Rv0099	2329	fadD10	G L:8,22,82,135,136
+Rv0100	6297	x	G L:22
+Rv0101	1351	nrp	G L:0_2,18,22,129,132
+Rv0102	1009	x	G L:0_2,8,22,110,111
+Rv0103c	2918	ctpB	G L:2,8,22,132_134,152
+Rv0104	1067	x	G L:3,4,22,138_172
+Rv0105c	621	rpmB	G L:22
+Rv0106	3221	x	G L:6,22
+Rv0107c	3236	ctpI	G L:22
+Rv0108c	2291	x	G L:6,22,125,163
+Rv0109	645:1	PE_PGRS1	G L:2,8,22,47,48,80,88,90,111,112,125,132
+Rv0110	4420	x	G L:8,22,132
+Rv0111	897	x	G L:0_2,22,111
+Rv0112	988	gca	G L:8,22
+Rv0113	6605	gmhA	G L:0,9_13,22,111,128
+Rv0115	2279	hddA	G L:0,22,115
+Rv0116c	2471	x	G L:22
+Rv0117	4243	oxyS	G L:22,163
+Rv0118c	3335	oxcA	G L:1,22
+Rv0119	2448	fadD7	G L:0_2,22,167
+Rv0120c	870	fusA2	G L:22
+Rv0121c	1879	x	G L:22,115,145,167
+Rv0122	372	x	G L:22
+Rv0123	4101	x	G L:22
+Rv0124	1356	PE_PGRS2	G L:5,8,22,48,49,71,80,83_85,89,92,95,98,111,124,128,163
+Rv0125	5350	pepA	G L:0,2,22,98,111,166
+Rv0126	112	treS	G L:0,6,22,122
+Rv0127	113	mak	G L:18,22,26,28,33,34,51,57,67,69,71,72,93,94,102,113,120,122
+Rv0128	5268	x	G L:8,22
+Rv0129c	1973	fbpC	G L:22
+Rv0130	3544	hdtZ	G L:22,171
+Rv0131c	314	fadE1	G L:22,147
+Rv0132c	1669	fgd2	G L:0,2,22,163,166
+Rv0133	2684	x	G L:22,89
+Rv0134	1336	ephF	G L:1,22,134
+Rv0135c	1494	x	G L:22
+Rv0136	2864	cyp138	G L:0,2_4,6,18,22,36,98,110,128
+Rv0137c	4578	msrA	G L:22
+Rv0138	2524:1	x	G L:0,22
+Rv0139	253	x	G L:0,2,8,22,92,133
+Rv0140	5893	x	G L:22,132,133,152
+Rv0141c	4614	x	G L:22,133,152
+Rv0142	1358	x	G L:22,95,132,133
+Rv0143c	2309	x	G L:2,22,128,133
+Rv0144	2976	x	G L:0,22
+Rv0145	3368	x	G L:6,22
+Rv0146	289	x	G L:22
+Rv0147	2166	x	G L:22,132
+Rv0148	7017	x	G L:22
+Rv0149	4758	x	G L:1,22,124
+Rv0150c	3355	x	G L:0,22,110
+Rv0151c	3002	PE1	G L:7,22,47_73,75,76
+Rv0152c	2978	PE2	G L:1,22,131
+Rv0153c	1230	ptbB	G L:22,125
+Rv0154c	2579	fadE2	G L:132
+Rv0155	4399	pntAa	G L:2
+Rv0156	754	pntAb	G L:0
+Rv0157	7082	pntB	G L:2
+Rv0159c	1092	PE3	G L:5,6
+Rv0160c	4270	PE4	G L:124
+Rv0162c	1674	adhE1	G L:18
+Rv0165c	1026	mceR1	G L:5,7,8
+Rv0166	1404	fadD5	G L:1,152
+Rv0167	3690	yrbE1A	G L:5
+Rv0168	2699:1	yrbE1B	G L:1,132
+Rv0169	1770	mce1A	G L:0,22,132_134
+Rv0170	3805	mce1B	G L:147
+Rv0171	1726	mce1C	G L:5,15,16,47,80,84,86,90,92,96,97,132,153,163
+Rv0172	3012	mce1D	G L:147,167
+Rv0173	4002	lprK	G L:0
+Rv0174	1023	mce1F	G L:111,147
+Rv0176	4073	x	G L:126
+Rv0178	5628	x	G L:0,26
+Rv0179c	1083	lprO	G L:8,134
+Rv0180c	534	x	G L:1,2,98,123,129,133,163
+Rv0181c	729	x	G L:8
+Rv0182c	1707	sigG	G L:2,26
+Rv0183	6140	x	G L:0,22
+Rv0184	4695	x	G L:2_4,126,128,167
+Rv0186	4766	bglS	G L:5_7,83,124
+Rv0187	6523	x	G L:128,166
+Rv0188	6883	x	G L:0
+Rv0189c	1872	ilvD	G L:111,132
+Rv0191	2863	x	G L:2,18
+Rv0192	433	x	G L:8
+Rv0192A	4501	x	G L:1,8,10,14,33,46_49,71,95,122_125,127_129,131,137,153,163
+Rv0193c	975	x	G L:5,6,88,126,137,147
+Rv0194	2044	x	G L:0,2,8,22,98,110,134,153,163
+Rv0195	2636	x	G L:80
+Rv0196	437	x	G L:0
+Rv0197	201	x	G L:1,2,6,89,110,127,132,135
+Rv0198c	1540	pepO	G L:0,8,110
+Rv0201c	1958	x	G L:2
+Rv0202c	3382	mmpL11	G L:0_2,16,22,81,87,123,128,152
+Rv0203	218	x	G L:1,2
+Rv0204c	3821	x	G L:0,110,125,163
+Rv0205	197	x	G L:131
+Rv0207c	4017	x	G L:8
+Rv0208c	4311	trmB	G L:167
+Rv0209	766	x	G L:5,7,125_129
+Rv0210	3942	x	G L:147
+Rv0211	4478	pckA	G L:1,16
+Rv0212c	2626	nadR	G L:111
+Rv0213c	162	x	G L:1
+Rv0214	545	fadD4	G L:1,7,22,128
+Rv0215c	2616	fadE3	G L:137
+Rv0216	767	x	G L:0
+Rv0221	199:1	x	G L:0,1,124
+Rv0222	6534	echA1	G L:0,2,15,124
+Rv0223c	1951	x	G L:0,1,18,124,125,129,138
+Rv0224c	1620	x	G L:5,163
+Rv0225	4397	x	G L:0,2,8,128
+Rv0227c	842	x	G L:0,1,8,89,110,125
+Rv0228	1265	x	G L:128,167
+Rv0229c	566	x	G L:17
+Rv0230c	2519	php	G L:124,152
+Rv0231	76	fadE4	G L:6,84,86,89,110,145,167
+Rv0232	2609	x	G L:2
+Rv0233	3222	nrdB	G L:3,4,111,128
+Rv0234c	5422	gabD1	G L:2,111,128
+Rv0235c	4275	x	G L:111
+Rv0236A	192	x	G L:0,167
+Rv0236c	2597	aftD	G L:111
+Rv0237	25	lpqI	G L:2,26,125
+Rv0238	171	rutR	G L:125,128,131
+Rv0242c	1967	fabG	G L:128
+Rv0243	4412	fadA2	G L:111,125
+Rv0244c	1485	fadE5	G L:125,131,154_161
+Rv0246	3729	x	G L:1,124
+Rv0248c	3352	sdhA	G L:2,128
+Rv0250c	3693	x	G L:3,4
+Rv0251c	3133	hsp	G L:86
+Rv0252	1407	nirB	G L:1,2,8,132,167
+Rv0254c	5242	cobU	G L:18
+Rv0255c	2477	cobQ1	G L:7,18,145
+Rv0256c	1883:1	PPE2	G L:3,4,134,163,164
+Rv0257	6322	x	G L:1,5_7,81,123_134
+Rv0260c	1661	x	G L:8,167
+Rv0261c	6952	narK3	G L:18,26,110,128
+Rv0262c	5693	aac	G L:1
+Rv0263c	5133	x	G L:2,167
+Rv0264c	3112	x	G L:0,85,125,147,163
+Rv0265c	1994	x	G L:2
+Rv0266c	3903	oplA	G L:0,2,14,83,89,110,132,135,148,167
+Rv0267	4295	narU	G L:124
+Rv0269c	2110	x	G L:2,81
+Rv0270	1464	fadD2	G L:147
+Rv0271c	4185	fadE6	G L:0,2,136
+Rv0273c	800	x	G L:138
+Rv0275c	3636	x	G L:0,17,145
+Rv0277c	1524:2	vapC25	G L:3,4,127,132_134,166
+Rv0278c	343	PE_PGRS3	L G:0,1,8,9,12,27_30,32,37_39,43_45,53_60,66,67,69,70,73,75,76,81,93,94,99,101,103_109,113,114,118,120,121,130,139,141_144,148_150,154_158,160,161,166
+Rv0279c	624:1	PE_PGRS4	G L:3,4,6,18,24,26,33,47_49,74,80,82,84,85,87,89,92,97,98,111,115,117,123,125_129,132_136,138,140,145_147,149_153,159,162_165,167_172
+Rv0280	591	PPE3	G L:131
+Rv0281	4827	x	G L:128,163
+Rv0283	2523:1	eccB3	G L:125
+Rv0284	45	eccC3	G L:0
+Rv0285	4757	PE5	G L:3,4
+Rv0286	2234	PPE4	G L:15,80,86,90,92,98
+Rv0287	7346	esxG	G L:0,88,128,166,167
+Rv0288	1626	esxH	G L:18
+Rv0289	9366	espG3	G L:18,123
+Rv0290	3458	eccD3	G L:0
+Rv0291	501	mycP3	G L:48,111,134,153
+Rv0292	3391	eccE3	G L:5,6
+Rv0293c	3339	x	G L:0,2,125,167
+Rv0295c	941:1	x	G L:0,2,8
+Rv0296c	814	x	G L:16,125
+Rv0297	300:1	PE_PGRS5	G L:5,7,10,14_16,22,26,33,34,40,43,47_50,64,71,72,76,80,83_90,92,95_97,100,110_112,115,116,119,122_125,127,131_133,140,145,146,153,159,163,167
+Rv0298	6365	x	G L:0,111
+Rv0299	1185	x	G L:166
+Rv0300	2842	vapB2	G L:3,4,6,111,166
+Rv0301	5735	vapC2	G L:0,111
+Rv0302	5942	acrR	G L:5,7,8,111,125,137
+Rv0304c	768	PPE5	G L:0,6,8,25,26,52,111,127,132_134
+Rv0305c	6118	PPE6	L G:0,1,8,14,77_79,85,88,99_101,103_112,123,126,128
+Rv0306	3788	bluB	G L:0,1,6,125,137
+Rv0307c	657	x	G L:137
+Rv0308	251	x	G L:137
+Rv0309	2502	x	G L:137
+Rv0310c	2406	baiE	G L:137
+Rv0311	3	x	G L:0,110,137
+Rv0312	3635	x	G L:137
+Rv0313	4990	x	G L:0,110,137
+Rv0314c	3281	x	G L:9,137
+Rv0315	461	x	G L:137
+Rv0316	3569	x	G L:2,137,151
+Rv0317c	1466	glpQ2	G L:2,137
+Rv0318c	4567	x	G L:3,4,128,137
+Rv0319	1987	pcp	G L:137
+Rv0320	1821	x	G L:137
+Rv0321	2106	dcd	G L:8,132,137
+Rv0322	2116	udgA	G L:0,132,137
+Rv0323c	2365	x	G L:5,7,136,137
+Rv0324	5300	x	G L:2,137
+Rv0325	2740	x	G L:1,2,5_7,81,123_172
+Rv0326	2600	x	G L:137
+Rv0327c	3465	cyp135A1	G L:22,137
+Rv0328	4541	x	G L:137
+Rv0329c	5725	x	G L:3,4,100,124,137,147
+Rv0330c	5874:1	x	G L:137
+Rv0331	2000	x	G L:1,2,137
+Rv0332	3555	x	G L:0,8,137
+Rv0333	4158	x	G L:128,137
+Rv0334	4640	rmlA	G L:137
+Rv0335c	942	PE6	G L:111,137,163
+Rv0336	459:1	x	G L:5,6,14_16,80,82_90,92,100,124,127,132_134,136,137,151_153,163,169_171
+Rv0337c	3102	aspC	G L:17,137
+Rv0338c	2031	x	G L:96,125,136,137,153,162,163
+Rv0339c	3104	x	G L:0,2,8,92,136,137
+Rv0340	65	x	G L:0,134,137
+Rv0341	288	iniB	G L:137
+Rv0342	3709	iniA	G L:8,18,111,128,137
+Rv0343	2698	iniC	G L:1,2,137
+Rv0344c	1208	lpqJ	G L:137
+Rv0345	4136	x	G L:2,137
+Rv0346c	209	ansP2	G L:137
+Rv0347	1245	x	G L:128,137
+Rv0348	5718	x	G L:137
+Rv0349	1781	x	G L:137
+Rv0350	230	dnaK	G L:0,81,137
+Rv0351	2878	grpE	G L:0,137
+Rv0352	1593	dnaJ1	G L:18,115,137,167
+Rv0353	5028	hspR	G L:137,151,169_171
+Rv0354c	8139	PPE7	L G:77_79,99
+Rv0355c	295	PPE8	G L:5,9_11,127,132_134,137
+Rv0356c	2801	x	G L:137
+Rv0357c	7374	purA	G L:8,22,137,163
+Rv0358	2942	x	G L:80,81,83,89,92,95,137,153
+Rv0359	395	x	G L:0,1,125,137,167
+Rv0360c	247	x	G L:5_7,137,138
+Rv0361	2281	x	G L:0_2,137
+Rv0362	261	mgtE	G L:125,137
+Rv0363c	2991	fba	G L:18,137,167
+Rv0364	2342	dedA	G L:1,137,162
+Rv0365c	316:1	x	G L:8,18,137
+Rv0366c	3678	x	G L:2,5,125,137
+Rv0367c	8990	x	G L:2,137
+Rv0368c	538	x	G L:137
+Rv0369c	1723	x	G L:0,137
+Rv0370c	4050	x	G L:1,115,129,137
+Rv0371c	781	x	G L:6,22,137
+Rv0372c	5710	xdhC	G L:0_2,6,137
+Rv0373c	1195	x	G L:111,128,137,167,169
+Rv0374c	2495	x	G L:92,137
+Rv0375c	3976	x	G L:47,137
+Rv0376c	1244	x	G L:2,9,11,19_24,42_68,70_73,75,76,78,79,86,90,137
+Rv0377	3556	x	G L:11,19_24,42_66,68,70_73,75,76,78,79,137,169
+Rv0378	4803	x	G L:0,2,8,11,19_24,42_73,75,76,78,79,137
+Rv0379	5852	secE2	G L:0,83,87,88,137,147
+Rv0380c	3844	x	G L:125,137
+Rv0381c	1210	x	G L:0,111,128,137
+Rv0382c	8160	pyrE	G L:111,137
+Rv0383c	782	x	G L:84,111,137
+Rv0384c	141	clpB	G L:0,132_134,137
+Rv0385	2226	x	G L:2,125,137
+Rv0386	2533	x	G L:0,2,5_7,14,88,89,100,124,129,137
+Rv0387c	1193:1	PPE9	G L:5_7,10,14_16,26,80,83_90,96,97,100,110,111,126,137,146,153
+Rv0388c	1193:2	PPE9	L G:0,1,8,17,18,77_79,81,99,100,130,148
+Rv0389	2750	purT	G L:0,1,118,137
+Rv0390	4637	x	G L:118,137,145
+Rv0391	3980	metZ	G L:125,137
+Rv0392c	961	ndhA	G L:5,7,8,18,80,123,137
+Rv0393	1946	x	G L:2,8,26,48,132_134,137,167
+Rv0394c	5967	x	G L:111,127,137
+Rv0395	2359	x	G L:6,132_134,137
+Rv0396	3801	x	G L:0,111,137
+Rv0397	6086:1	x	G L:26,48,100,132_134,137
+Rv0398c	7849	x	G L:2_4,137
+Rv0399c	1534	lpqK	G L:0,6,15,84,132,137
+Rv0400c	2834	fadE7	G L:3_5,98,137
+Rv0401	1569	x	G L:2,111,137
+Rv0402c	4145	mmpL1	G L:0_2,8,22,52,57,123,125,132_134,137,147,166
+Rv0403c	5270	mmpS1	G L:0,57,111,128,137
+Rv0404	547	fadD30	G L:0,125,126,137
+Rv0405	2669	pks6	G L:18,125,137,167
+Rv0406c	5185	x	G L:0,125,137
+Rv0407	4109	fgd1	G L:0,2,8,137
+Rv0408	3240	pta	G L:0,128,132,137,167
+Rv0409	5856	ackA	G L:0,1,137
+Rv0410c	3088	pknG	G L:137
+Rv0411c	937	glnH	G L:125,137
+Rv0412c	2504	x	G L:8,137
+Rv0413	3094	mutT3	G L:125,137
+Rv0414c	2263	thiE	G L:2,125,132_134,136,137
+Rv0415	5905	thiO	G L:137
+Rv0416	5898	thiS	G L:137
+Rv0417	2364	thiG	G L:132,137
+Rv0418	2089	lpqL	G L:0,1,3,4,6,8,18,137,167
+Rv0419	1552	lpqM	G L:0,2,137
+Rv0420c	5575	x	G L:0,98,137
+Rv0421c	5802	x	G L:137,167
+Rv0422c	2051	thiD	G L:0,137
+Rv0423c	3052	thiC	G L:111,137
+Rv0424c	366	x	G L:137,147
+Rv0425c	169	ctpH	G L:0,137
+Rv0426c	2396	x	G L:137
+Rv0427c	4117	xthA	G L:137
+Rv0428c	1364	x	G L:0,2,15,125,137
+Rv0429c	7088	def	G L:0,8,137
+Rv0430	3677	x	G L:137
+Rv0431	835	AT103	G L:137
+Rv0432	3773	sodC	G L:137
+Rv0433	6311	ybdK	G L:128,137
+Rv0434	4866	x	G L:137
+Rv0435c	2310	x	G L:1_4,26,115,123,128,131,137,169
+Rv0436c	774	pssA	G L:137
+Rv0437c	1354	psd	G L:2_4,137
+Rv0438c	2435	moeA2	G L:1,2,137
+Rv0439c	1756	x	G L:137,167
+Rv0440	4999	groEL	G L:137,163
+Rv0441c	3045	x	G L:129,137
+Rv0442c	5262	PPE10	G L:0,14_16,111,132_134,137,166,167,169
+Rv0443	2206	x	G L:137
+Rv0444c	3046	rskA	G L:137
+Rv0445c	53	sigK	G L:0,129,137
+Rv0446c	4279	x	G L:8,17_79,120_122,137
+Rv0447c	2997	ufaA1	G L:0,5,8,18,137,163
+Rv0448c	2777	x	G L:137
+Rv0449c	2376	x	G L:0,22,111,128,137,166
+Rv0450c	3161	mmpL4	G L:0,1,125,132,134,137,147
+Rv0451c	6984	mmpS4	G L:134,137
+Rv0452	310	x	G L:1,137,170
+Rv0453	2950	PPE11	G L:137
+Rv0455c	4498	x	G L:137
+Rv0456c	2151	echA2	G L:0,8,137
+Rv0457c	620	x	G L:3,4,22,135,137,162
+Rv0458	371	x	G L:98,137
+Rv0459	5293	x	G L:6,115,131,132,137
+Rv0460	4108	x	G L:137
+Rv0461	1805	x	G L:137
+Rv0462	6179	lpd	G L:1,137
+Rv0463	2290:1	x	G L:137
+Rv0464c	6312	x	G L:137
+Rv0465c	2487	x	G L:0,125,137
+Rv0466	63	x	G L:125,137
+Rv0467	1912	icl	G L:0,1,125,137
+Rv0468	3799	fadB2	G L:1,128,137
+Rv0469	5824	umaA	G L:0,8,137
+Rv0470c	7291	pcaA	G L:0,26,132,134,137
+Rv0471c	1641	x	G L:36,132_134,137,150,172
+Rv0472c	3401	x	G L:0,1,137
+Rv0473	4700	x	G L:5_7,26,137
+Rv0474	3344	x	G L:137
+Rv0475	6184	hbhA	G L:0,3,4,6,98,132_134,137,166
+Rv0476	830	x	G L:137
+Rv0477	4224	x	G L:137
+Rv0478	399	deoC	G L:0,137
+Rv0479c	1397	x	G L:6,8,136,137
+Rv0480c	2097	x	G L:8,137,166
+Rv0481c	5809	x	G L:92,133,137,147
+Rv0482	2418	murB	G L:137
+Rv0483	457	lprQ	G L:137
+Rv0484c	3510:1	x	G L:0,2,137,166
+Rv0485	7018	x	G L:0,2,26,125,128,137
+Rv0486	430	lpcC	G L:2,110,137
+Rv0487	425	x	G L:3,4,6,132_134,137,170
+Rv0488	4439	x	G L:128,137
+Rv0489	1190:1	gpmA	G L:132_134,137
+Rv0490	3534	senX3	G L:2,8,125,128,137,167
+Rv0491	5119	regX3	G L:110,125,131,132,137
+Rv0492A	7942	x	G L:2,128,137
+Rv0492c	452:1	x	G L:2,137
+Rv0493c	2711	x	G L:0,1,8,115,128,137
+Rv0494	6708	x	G L:137,167
+Rv0495c	4389	x	G L:128,137
+Rv0496	302	x	G L:0,2,26,137
+Rv0497	4524	x	G L:137
+Rv0498	1031:1	x	G L:18,137
+Rv0499	801	x	G L:137
+Rv0500	2018	proC	G L:1,132,137
+Rv0500A	8000	x	G L:98,137
+Rv0500B	7434	x	G L:1,98,137,167
+Rv0501	699	galE2	G L:131,137
+Rv0502	2845	x	G L:137
+Rv0503c	6255	cmaA2	G L:0,137
+Rv0504c	3415	x	G L:1,8,133,137,152
+Rv0505c	5388	serB1	G L:80,92,137,163
+Rv0506	3726	mmpS2	G L:137
+Rv0507	2962:1	mmpL2	G L:6,132,137
+Rv0508	2316	x	G L:137
+Rv0509	2831	hemA	G L:0,1,26,110,125,137
+Rv0510	4565	hemC	G L:1,137
+Rv0511	364	hemD	G L:2,137
+Rv0512	1942	hemB	G L:2_7,125,137
+Rv0513	1920	x	G L:2,26,137,163
+Rv0514	1956	x	G L:2,137
+Rv0516c	5679	x	G L:36,80,98,137,151
+Rv0518	4923	x	G L:0,98,137,151
+Rv0519c	1779	x	G L:98,137,151
+Rv0520	7979	x	G L:98,137,145,151
+Rv0521	4727	x	G L:98,137,151
+Rv0522	5118	gabP	G L:98,128,137,151
+Rv0523c	5597	x	G L:2,6,8,98,137,151
+Rv0524	2993	hemL	G L:0_2,6,8,48,89,98,129,137,151,163
+Rv0525	2215	x	G L:0_2,98,137,151
+Rv0526	291	x	G L:98,128,137,151
+Rv0527	6461	ccdA	G L:2,98,111,137,151,167
+Rv0528	3513	x	G L:2,26,98,137,151
+Rv0529	2248	ccsA	G L:18,98,137,151
+Rv0530	480:1	x	G L:2,98,137,151,167
+Rv0531	3711	x	G L:3_5,7,80,98,137,151,153
+Rv0532	1739:1	PE_PGRS6	L G:9,11,20,23,25,27_30,32,45,46,52_54,56_58,65_70,74,75,77_79,81,82,93,94,99,101,103_109,113,114,117,130,138,139,141_144,147,149,154_158,160,161,164_166,168
+Rv0533c	2980	fabH	G L:0,18,85,100,111,125,137,151
+Rv0534c	3226	menA	G L:2,18,128,129,137,151
+Rv0535	736	pnp	G L:2,8,17,18,81,111,128,129,137,151,162,167
+Rv0536	1422	galE3	G L:128,131,137,151
+Rv0537c	3553	x	G L:128,137,151
+Rv0538	185	x	G L:137,151,167
+Rv0539	2187:1	x	G L:1,47,48,71,89,126,128,132,148,151
+Rv0540	213	x	G L:2,129,151
+Rv0541c	5240	x	G L:0,6,8,129,145,151
+Rv0542c	4018	menE	G L:151
+Rv0543c	5409	x	G L:151
+Rv0544c	4664	pitA	G L:151
+Rv0546c	1277	x	G L:2,148,151
+Rv0547c	2441	x	G L:2,151
+Rv0548c	1898	menB	G L:151
+Rv0549c	5662	vapC3	G L:124,151
+Rv0550c	3119	vapB3	G L:0,151
+Rv0551c	4693	fadD8	G L:8,151
+Rv0552	1059	x	G L:0
+Rv0554	505	bpoC	G L:83,132,133,163
+Rv0555	2862	menD	G L:1,100
+Rv0557	170	pimB	G L:1,18,132
+Rv0558	1295	ubiE	G L:0,2,125
+Rv0559c	2696	x	G L:8,152
+Rv0561c	639	x	G L:0,2,163
+Rv0562	3174	grcC1	G L:2
+Rv0563	1663	htpX	G L:6,8
+Rv0564c	1173	gpsA	G L:0
+Rv0568	3201	cyp135B1	G L:2,8,125
+Rv0570	982	nrdZ	G L:0,2,6,8,128,159,170
+Rv0571c	1776:1	x	G L:125
+Rv0572c	4800	x	G L:0,125
+Rv0573c	687	pncB2	G L:0,1,128
+Rv0574c	6678	x	G L:2,6,123,125,128
+Rv0575c	884	x	G L:129
+Rv0576	4261	arsR	G L:0,2,15,83,86,89,100,111,123,125,128,129,137
+Rv0577	3746	TB27.3	G L:17,80,92,111,125,128,129,137,167
+Rv0578c	2921	PE_PGRS7	G L:3_7,10,14_18,22,26,33,40,47_49,51,57,71,72,80,82_92,95_98,100,110_112,115_117,122,125,126,128,129,131_134,137,138,140,145,146,153,167
+Rv0579	1460	x	G L:8,131
+Rv0581	2314	vapB27	G L:0
+Rv0582	3350	vapC26	G L:0
+Rv0584	585	x	G L:0,18,22,135
+Rv0587	1320	yrbE2A	G L:1,132
+Rv0588	784	yrbE2B	G L:0,6,132
+Rv0589	977	mce2A	G L:88,129,132_134
+Rv0591	3250	mce2C	G L:110,163
+Rv0592	4818	mce2D	G L:18,128
+Rv0594	2958	mce2F	G L:2
+Rv0597c	2340	x	G L:2,5
+Rv0600c	1982	x	G L:2
+Rv0601c	1116	x	G L:8
+Rv0602c	846	tcrA	G L:0
+Rv0603	829	x	G L:48,72,97,100,126,153
+Rv0604	4625	lpqO	G L:0,125
+Rv0606	883	x	G L:6,22,129,132_134
+Rv0608	8215	vapB28	G L:6,111
+Rv0609	4220	vapC28	G L:2
+Rv0610c	4247	x	G L:0,167
+Rv0611c	8680	x	G L:0
+Rv0613c	659	x	G L:2,8,48,83,89,100,131,133,169
+Rv0614	3145	x	G L:89,162
+Rv0616c	8718	x	G L:0
+Rv0618	2032	galTa	G L:1,5_7,123,124,126_131
+Rv0619	2901	galTb	G L:1_7,98,123_131
+Rv0620	160:1	galK	G L:2,48,132
+Rv0621	894	x	G L:0
+Rv0622	2895	x	G L:1
+Rv0623	5839	vapB30	G L:168
+Rv0625c	145	x	G L:100,132
+Rv0626	1918	vapB5	G L:2,125
+Rv0627	7124	vapC5	G L:2,82,125
+Rv0629c	5362	recD	G L:125
+Rv0630c	1219:1	recB	G L:0,1,18
+Rv0631c	1643:1	recC	G L:8
+Rv0633c	1904	x	G L:0,5,7,22,128
+Rv0634B	2127	rpmG	G L:0,123,137
+Rv0634c	692	x	G L:128
+Rv0636	3218	hadB	G L:8
+Rv0637	3916	hadC	G L:1,100,101
+Rv0638	6958	secE	G L:3,4,85,89,134
+Rv0639	9470	nusG	G L:0,133
+Rv0641	583	rplA	G L:1,110
+Rv0642c	1194	mmaA4	G L:111
+Rv0643c	6667	mmaA3	G L:132_134
+Rv0644c	2808	mmaA2	G L:132_134
+Rv0646c	3173	lipG	G L:0,6
+Rv0647c	590	x	G L:0,3,4,8,98,129
+Rv0648	153:1	fabD2	G L:48,85,92,128
+Rv0650	1907	glk	G L:6,22,48,71,85,88,100,110,112,122,125,128,153
+Rv0651	7077	rplJ	G L:2,6,8,128
+Rv0652	6320	rplL	G L:1,2,6
+Rv0653c	3151:1	x	G L:6,128,137
+Rv0654	2493	x	G L:6,8,166,167
+Rv0655	2128	mkl	G L:0,6,128
+Rv0656c	3265	vapC6	G L:6,147
+Rv0657c	10219	vapB6	G L:3,4,6
+Rv0658c	970	x	G L:6
+Rv0659c	3787	mazF	G L:6
+Rv0660c	1159	mazE2	G L:6,170
+Rv0661c	4571	vapC7	G L:2,35,81
+Rv0662c	1763	vapB7	G L:133,134
+Rv0667	441	rpoB	G L:0
+Rv0668	1971	rpoC	G L:8,111,128,147
+Rv0669c	882	x	G L:147
+Rv0670	6363	end	G L:125
+Rv0672	2459	fadE8	G L:110,138_145
+Rv0673	3765:1	echA4	G L:2,8,125,137
+Rv0674	4536	paaX	G L:0,2
+Rv0675	5178	echA5	G L:1,2
+Rv0676c	2605	mmpL5	G L:0,6,18,45,132,134,147
+Rv0677c	8053	mmpS5	G L:7,18,111
+Rv0678	6001	x	G L:8,18
+Rv0681	2249	x	G L:0,132
+Rv0683	1970	rpsG	G L:83
+Rv0684	3714	fusA1	G L:0,1,90,110
+Rv0685	1095	tuf	G L:0,125
+Rv0686	698	x	G L:133,136
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+Rv0688	623	x	G L:22
+Rv0689c	1965	x	G L:2
+Rv0690c	3937	x	G L:8
+Rv0691c	1478	rutR	G L:163
+Rv0693	9338	pqqE	G L:0_2,8,134
+Rv0697	5523	x	G L:125,128
+Rv0698	3306	x	G L:0,1,3_7,14,81,90,100,123_125,127_133,143,168
+Rv0701	194	rplC	G L:6
+Rv0702	7011	rplD	G L:152
+Rv0703	7147	rplW	G L:171
+Rv0704	7296	rplB	G L:0
+Rv0706	7721	rplV	G L:2
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+Rv0710	6159	rpsQ	G L:147
+Rv0711	2757	atsA	G L:6,110,132
+Rv0712	2912	x	G L:1,18,125
+Rv0713	2812	x	G L:3,4
+Rv0714	5359	rplN	G L:0
+Rv0716	5651	rplE	G L:3,4,98
+Rv0717	7796	rpsN	G L:3,4,98
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+Rv0720	2362	rplR	G L:2,26
+Rv0721	4004	rpsE	G L:145
+Rv0723	1662	rplO	G L:0
+Rv0724	338	sppA	G L:0_2,14,18,22,26,89,100
+Rv0725c	4780	x	G L:163
+Rv0726c	3496	x	G L:0
+Rv0727c	4581	fucA	G L:6,100
+Rv0728c	2828	serA2	G L:2,125,128
+Rv0729	196	xylB	G L:0,132,134
+Rv0730	3130	x	G L:0,132
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+Rv0732	839	secY	G L:1,8
+Rv0733	1105	adk	G L:128
+Rv0734	633	mapA	G L:6
+Rv0736	487	rslA	G L:2
+Rv0738	4437	x	G L:22,26,95,132,153
+Rv0741	186:1	x	G L:132
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+Rv0743c	1665	x	G L:18,111
+Rv0744c	37	x	G L:110,169
+Rv0745	2700	x	G L:1,18,111,115,128,132,134,167
+Rv0746	3701	PE_PGRS9	G L:3_7,10,14_19,22,24,26,29,33,40,42,47_49,51,61,63,64,71,72,74,80,83_92,96_98,100,110_112,115,116,122_125,127_129,131_138,145_147,151_153,159,162,163,165,167_172
+Rv0747	205	PE_PGRS10	G L:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+Rv0748	2297	vapB31	G L:3,4,6,18,129,132,138,167
+Rv0749	1524:1	vapC31	G L:3,4,6,26,127,132_134
+Rv0750	4650	x	G L:132_134
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+Rv0758	3776	phoR	G L:22,147
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+Rv0766c	7801	cyp123	G L:0,8,17_21,23,24,34_76,120_122
+Rv0768	3645	aldA	G L:0,2,7,133
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+Rv0774c	5110	x	G L:128
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+Rv0777	4051	purB	G L:0
+Rv0778	1530	cyp126	G L:0,26,125
+Rv0779c	3300	x	G L:48
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+Rv0782	117	prtB	G L:0,125,131
+Rv0783c	5033	emrB	G L:1,128,167
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+Rv0785	4634	x	G L:0,1,123,124,128
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+Rv0801	1732	x	G L:2
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+Rv0808	1600	purF	G L:0,1,111,125,147
+Rv0809	2416	purM	G L:2
+Rv0810c	6357	x	G L:133
+Rv0811c	8358	x	G L:0_2,5,8,81
+Rv0812	2273	pabC	G L:2,6,7
+Rv0813c	6501	x	G L:167
+Rv0814c	3625	sseC1	G L:6,36,92,98,151_153,170,171
+Rv0816c	2330	thiX	G L:2
+Rv0817c	2389	x	G L:166
+Rv0818	15	x	G L:8
+Rv0819	2243	mshD	G L:0,22
+Rv0820	5775	phoT	G L:8
+Rv0823c	606	dusB	G L:8
+Rv0824c	321	desA1	G L:3,4,6,71,93
+Rv0825c	2582	x	G L:0,36,162
+Rv0826	4678	x	G L:137
+Rv0827c	2745	arsR	G L:18,132,163
+Rv0828c	2420	x	G L:125
+Rv0830	5816	x	G L:0,3,4,8,115
+Rv0831c	4123	x	G L:1,3,4,8,14,74
+Rv0832	3661	PE_PGRS12	G L:3,4,6,7,14,15,22,26,33,36,47,48,67,71,80,83,86_90,92,95,97,100,110,112,115,116,122,123,125,127_129,131_134,137,138,145,153,167
+Rv0834c	349:2	PE_PGRS14	G L:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+Rv0835	6615	lpqQ	G L:47_66,68_76
+Rv0836c	713	x	G L:34,36
+Rv0837c	992	x	G L:0,2,34,111
+Rv0838	2006	lpqR	G L:7,34,147
+Rv0839	411	x	G L:0,34
+Rv0840c	176	pip	G L:17,34
+Rv0842	1705	x	G L:1,2,125,131
+Rv0843	1618	x	G L:167
+Rv0845	54	x	G L:0,1,110
+Rv0846c	5017	x	G L:2,123
+Rv0847	771	lpqS	G L:167
+Rv0848	341	cysK2	G L:0,2,90,111
+Rv0849	237	x	G L:0,2,9,81,130,148,151
+Rv0851c	4651	x	G L:26,83_90
+Rv0855	7494	far	G L:0,82,118,147
+Rv0858c	2275	dapC	G L:0,1,22,110,125,128,132
+Rv0859	4582	fadA	G L:2,48,81,100,111,148
+Rv0860	1237	fadB	G L:8,133,163
+Rv0861c	1003	ercc3	G L:22,128,166
+Rv0862c	6047	x	G L:1,2,6,8,18,20,115
+Rv0865	1441	mog	G L:0
+Rv0866	1806	moaE2	G L:0,125,132,134
+Rv0867c	1222:1	rpfA	G L:7,14,82,87,93,102,120,131,151,152
+Rv0868c	3953	moaD2	G L:0,125,167
+Rv0869c	3830	moaA	G L:2,110
+Rv0870c	3951:1	chaA	G L:0,8,22
+Rv0871	3178	cspB	G L:125
+Rv0872c	2133:1	PE_PGRS15	G L:1,14,15,33,47_49,71,72,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+Rv0873	2608	fadE10	G L:0,1,6,8
+Rv0874c	2211:1	x	G L:132
+Rv0875c	1850	x	G L:18
+Rv0876c	6962	x	G L:0,1,18,145
+Rv0877	2513	x	G L:0,2
+Rv0878c	403	PPE13	G L:0,26,86,127,131,132,135
+Rv0879c	2307	x	G L:0,137
+Rv0883c	5065	x	G L:1,5_7,148
+Rv0884c	1259	serC	G L:7
+Rv0885	629	x	G L:0
+Rv0886	3733	fprB	G L:0_2,89,132,134,167
+Rv0889c	3585	citA	G L:0_2,8,125,132
+Rv0890c	2596:1	x	G L:0,7
+Rv0892	721	x	G L:8
+Rv0893c	2891	x	G L:147
+Rv0894	4623	x	G L:5,7,125_129
+Rv0895	3621	x	G L:0,3_5,7,17,18
+Rv0896	5561	gltA	G L:115
+Rv0897c	1866	x	G L:8,26,100,110,137
+Rv0898c	215	x	G L:0
+Rv0899	2319	ompA	G L:18,137
+Rv0900	7858	x	G L:0,150
+Rv0901	2367	x	G L:8,100
+Rv0904c	2829	accD3	G L:134
+Rv0905	2294	echA6	G L:0
+Rv0906	5426	x	G L:1,5_7,81,118,125_131,136
+Rv0907	443	pbp-1	G L:0
+Rv0908	2782	ctpE	G L:0,2,128,132
+Rv0910	181	x	G L:8
+Rv0911	4281	x	G L:0
+Rv0913c	6553	x	G L:1,134
+Rv0914c	1788	x	G L:0,2,5_8,81,132
+Rv0915c	1989	PPE14	G L:3_7,89,95,110,163
+Rv0916c	6211	PE7	G L:1,125
+Rv0920c	4159	x	G L:8
+Rv0921	5399	x	G L:0,2_7,98
+Rv0922	600	x	G L:1,2,83,166
+Rv0923c	4845:1	x	G L:132
+Rv0924c	4462	mntH	G L:0,2,15,128
+Rv0926c	4838	dapB	G L:0
+Rv0927c	1302	hdhA	G L:0,2
+Rv0928	3908	pstS3	G L:0,1,8,132
+Rv0929	4795	pstC2	G L:0,1,8
+Rv0930	5476	pstA1	G L:0,1,3_5
+Rv0931c	5269	pknD	G L:1,17,80,163
+Rv0932c	1615	pstS2	G L:132,137
+Rv0933	3894	pstB	G L:8,77
+Rv0934	4460	pstS1	G L:0,125
+Rv0935	1742	pstC1	G L:5,7,8,132
+Rv0937c	2064	mku	G L:0
+Rv0939	2424	x	G L:0,2_7,163
+Rv0940c	2965	x	G L:0,129
+Rv0942	8012	x	G L:1
+Rv0943c	16	x	G L:6,20
+Rv0945	1523	x	G L:1,166
+Rv0946c	4868	pgi	G L:3_8,80
+Rv0948c	515	x	G L:1
+Rv0949	1731	uvrD1	G L:0,2,128
+Rv0951	6127	sucC	G L:5,128,163
+Rv0952	3538	sucD	G L:110,129,162
+Rv0953c	3273	x	G L:22,110,125,132,147,162
+Rv0954	3189	x	G L:36,163
+Rv0955	4776	x	G L:26
+Rv0958	2525	x	G L:0,2,8,18,125,132,152
+Rv0959	1290	x	G L:2,89
+Rv0960	3186	vapC9	G L:6,7
+Rv0961	2521	x	G L:0,125,172
+Rv0962c	8444	lprP	G L:92,98,148,170
+Rv0963c	200	x	G L:172
+Rv0964c	7289	x	G L:0,147,172
+Rv0965c	1241	x	G L:18
+Rv0966c	2008	x	G L:1,5_7,125,127_129,131
+Rv0968	5721	x	G L:5,7,125_129
+Rv0969	4726	ctpV	G L:2,22,26,127
+Rv0970	1170	x	G L:8,15
+Rv0971c	3304	echA7	G L:0,83
+Rv0972c	3429:1	fadE12	G L:82
+Rv0973c	136	accA2	G L:0,2,8,81,125
+Rv0974c	1667	accD2	G L:1,125,152
+Rv0975c	6723	fadE13	G L:2,125,131,151,167,170
+Rv0976c	1847	x	G L:2,8,97,111,125,129,170
+Rv0977	1436:1	PE_PGRS16	G L:17,110,115,134
+Rv0978c	876:1	PE_PGRS17	G L:1,6,18,36,80,89,92,115,123,132_135
+Rv0979A	6023	rpmF	G L:3,4,6,18,22,110,111,115,125,167
+Rv0980c	71	PE_PGRS18	G L:3,4,6,18,22,92,111,115,132_134,167
+Rv0982	2798	mprB	G L:0,3,4,6,18,115,125,131
+Rv0983	1867	pepD	G L:0,153,170
+Rv0984	82	moaB2	G L:1,2
+Rv0985c	2312	mscL	G L:0,147
+Rv0987	1221	x	G L:6,125
+Rv0988	944:1	x	G L:0,8,151,162
+Rv0989c	410	grcC2	G L:0,5,6,128
+Rv0990c	5307	x	G L:2,128
+Rv0994	2846	moeA1	G L:0
+Rv0996	5315	x	G L:0,2,18,110
+Rv0998	1139	x	G L:0
+Rv0999	3016	x	G L:18
+Rv1000c	6149	x	G L:0,18
+Rv1001	1373	arcA	G L:0,1,5,100,111,129
+Rv1003	4306	x	G L:8,92,110,163
+Rv1004c	281	x	G L:14,33,47,48,71,72,80,84,85,87,92,95_97,100,115,116,132_134,146,153,167
+Rv1005c	622	pabB	G L:100,115,145
+Rv1006	4343:1	x	G L:0,2,18,26
+Rv1007c	4516	metG	G L:0
+Rv1008	1783	tatD	G L:2
+Rv1009	124	rpfB	G L:2,125,167
+Rv1011	1038	ispE	G L:2_4
+Rv1015c	2320	rplY	G L:5,7
+Rv1017c	1891	prsA	G L:17,111
+Rv1020	901:1	mfd	G L:2,125,147
+Rv1021	3985	mazG	G L:129
+Rv1024	8292	x	G L:0,3,4,89,92,98,128
+Rv1025	2651	x	G L:3,4,98,125
+Rv1026	2704	x	G L:0,2,163
+Rv1027c	1651	kdpE	G L:115,129
+Rv1028c	812	kdpD	G L:162,163
+Rv1030	1871	kdpB	G L:2
+Rv1031	6863	kdpC	G L:1
+Rv1032c	402	trcS	G L:0,1,3,4,20,131
+Rv1034c	2086	x	G L:0,17,18,34_36
+Rv1035c	4289	x	G L:100
+Rv1036c	5257	x	G L:3,4
+Rv1037c	1091	esxN	G L:6,127,132_134
+Rv1039c	1	PPE15	G L:132
+Rv1040c	3329	PE8	G L:8,47,48,112,115
+Rv1041c	392	x	G L:14,36,83,92,98,127,132,135,153,169_171
+Rv1042c	2214	x	G L:36,98,135
+Rv1043c	2515	x	G L:8,111
+Rv1044	6813	x	G L:0,8,89,163
+Rv1045	958	x	G L:1,132
+Rv1046c	5375	x	G L:135_137
+Rv1047	1514	x	G L:3,4,36,82,98,169
+Rv1048c	292	x	G L:8,14,16,128,132
+Rv1049	4221	x	G L:0
+Rv1050	6413	x	G L:1
+Rv1054	1905	x	G L:18
+Rv1056	6429	x	G L:0,1,137
+Rv1058	5494	fadD14	G L:0
+Rv1059	911	dapB	G L:0
+Rv1060	3868	x	G L:0,3,4,6,98
+Rv1061	6122	x	G L:133
+Rv1062	4435	x	G L:0,128
+Rv1063c	2174	x	G L:115
+Rv1064c	2985	lpqV	G L:147
+Rv1065	7034	x	G L:7,8,17,18,74,115,147
+Rv1066	1499	x	G L:0,17,18,83,92,97,125,138,147,162
+Rv1067c	226	PE_PGRS19	G L:2,6,10,33,47,48,71,72,80,83,87_89,92,96,97,100,110,111,115_117,122,123,125,127,132,133,136_138,145,147,163,167,171
+Rv1068c	1252	PE_PGRS20	G L:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+Rv1069c	1816	x	G L:2,6,133
+Rv1071c	3451	echA9	G L:5,7
+Rv1073	1588	x	G L:19_24,42,62,68,87,147
+Rv1074c	3596	fadA3	G L:131,134,147
+Rv1075c	1910	x	G L:2,125
+Rv1076	3708	lipU	G L:1,88
+Rv1077	896	cbs	G L:0,2,111
+Rv1078	2182	pra	G L:98
+Rv1080c	4039	greA	G L:111
+Rv1081c	3340	x	G L:17,111
+Rv1083	4662	x	G L:2
+Rv1084	1640	x	G L:14,18,92,110,111,137
+Rv1085c	2173	hlyIII	G L:0,17,18,110,111,115,125,131,137
+Rv1086	6203	uppS-1	G L:0,74,110,111,129
+Rv1087	2253:1	PE_PGRS21	G L:5,7,10,13,16_20,22,23,33,34,40,42,43,45,47_49,51,61,63,65,71,72,80,83_89,91,92,95_97,112,115,116,122_124,126,128,129,132,134,135,137,138,140,145,146,153,159,164,167
+Rv1087A	6206	x	G L:18
+Rv1088	5644	PE9	G L:1,8,93,94,132
+Rv1089	611	PE10	G L:2,74,132_172
+Rv1090	4729	celA2b	G L:18,74,98,111
+Rv1091	1220	obg	G L:3,4,9,15,20,23,33,46_48,51,72,80,83,86,88,89,95_98,110_112,116,126,132,135,138,153,163,167
+Rv1092c	2517	coaA	G L:0,3,4,98,110
+Rv1093	1597	glyA	G L:2,128,163,167
+Rv1094	3581	desA2	G L:17
+Rv1095	6617	phoH2	G L:2,6,18,167
+Rv1096	2304	x	G L:0,166,167
+Rv1098c	175	fumC	G L:0,2,115
+Rv1099c	4121	glpX	G L:0,2,8
+Rv1103c	446	mazE3	G L:1
+Rv1104	5004	x	G L:2
+Rv1105	3405	x	G L:6
+Rv1108c	6150	xseA	G L:2,15,18
+Rv1109c	248	x	G L:2
+Rv1110	1270	ispH	G L:18
+Rv1111c	129	x	G L:1,152
+Rv1112	4821	ychF	G L:133,166
+Rv1116A	3925	x	G L:17,111
+Rv1117	473	x	G L:8
+Rv1118c	2142	x	G L:2,95_97,166
+Rv1119c	8885	x	G L:0,18
+Rv1120c	872	x	G L:2,147
+Rv1122	705	gnd2	G L:0,128,147
+Rv1123c	3853	bpoB	G L:0,5,7,26,125,127_129
+Rv1124	560	ephC	G L:0,128
+Rv1126c	2791	x	G L:2
+Rv1127c	644	ppdK	G L:132
+Rv1128c	2662	x	G L:1,8,129,136,138_172
+Rv1130	5551	prpD	G L:0,2,6,8,14
+Rv1131	722	gltA1	G L:0,163
+Rv1132	479	x	G L:3,4
+Rv1133c	254	metE	G L:2,18
+Rv1134	5138	x	G L:123,159
+Rv1135A	546	x	G L:163
+Rv1135c	1180	PPE16	G L:0,8,26,123,124,127,132_134,146,147,149,150,154_172
+Rv1137c	6321	x	G L:125,166
+Rv1138c	2753	x	G L:0,125
+Rv1139c	3410	x	G L:0,1
+Rv1140	2058	x	G L:8,110
+Rv1141c	6616	echA11	G L:2
+Rv1142c	6207	echA10	G L:0,8,18,26,100
+Rv1143	5635	mcr	G L:8
+Rv1145	2860	mmpL13a	G L:1,2,5_8,81,123_172
+Rv1146	1481	mmpL13b	G L:0,163
+Rv1147	2639	x	G L:0
+Rv1148c	1151:1	x	G L:80,82,98,127,132_134,136,163
+Rv1151c	4836	npdA	G L:0,2,151
+Rv1152	2928	ytrA	G L:151
+Rv1153c	761	omt	G L:22,151
+Rv1154c	4034	x	G L:151
+Rv1155	3721	x	G L:110,151
+Rv1156	7110	x	G L:151
+Rv1157c	914:1	x	G L:3,4,88,92,98,132,135,137,151
+Rv1158c	2368	x	G L:6,22,26,48,71,96,97,124,125,151
+Rv1159	2370	pimE	G L:3_5,8,98,151
+Rv1159A	5136	phhB	G L:151
+Rv1160	3604	mutT2	G L:2,151
+Rv1161	2339	narG	G L:0,1,6,11,115,125,151
+Rv1162	1042	narH	G L:0,8,11,151
+Rv1163	2919	narJ	G L:151
+Rv1164	4998	narI	G L:151
+Rv1165	4278	typA	G L:151
+Rv1166	5106	lpqW	G L:0,2,8,111,151
+Rv1167c	7713	x	G L:151
+Rv1168c	3554	PPE17	G L:110,127,132_134,136,147,151
+Rv1169c	3026	PE11	G L:147,151
+Rv1170	4298	mshB	G L:0,6,151,167
+Rv1171	4660	x	G L:110,151
+Rv1172c	3162	PE12	G L:151
+Rv1173	3724	fbiC	G L:0,1,129,151
+Rv1174c	6916	TB8.4	G L:151
+Rv1175c	706	fadH	G L:0,1,151,163
+Rv1176c	1690	x	G L:151,154_161
+Rv1177	4885	fdxC	G L:125,151
+Rv1178	2967	x	G L:1,5,6,131,151
+Rv1179c	2457	x	G L:2,151
+Rv1180	2460	pks3	L G:99,110,145
+Rv1182	2453	papA3	G L:1,151
+Rv1183	780	mmpL10	G L:1,7,8,151
+Rv1184c	88	x	G L:151
+Rv1185c	1761	fadD21	G L:151
+Rv1186c	2558	x	G L:151
+Rv1187	198	rocA	G L:0,22,110,128,151
+Rv1188	5627	x	G L:2,151
+Rv1189	1864	sigI	G L:0,146,147,151,154_161
+Rv1190	3285	x	G L:115,146,147,151,154_161,167
+Rv1191	101	x	G L:80,97,146,147,151,154_161,163
+Rv1192	542	x	G L:136,151
+Rv1193	2201	fadD36	G L:22,46,83,151
+Rv1194c	5504	x	G L:0,111,151
+Rv1195	1011	PE13	G L:151
+Rv1197	359	esxJ	G L:6,82,127,132_134,136
+Rv1200	609	x	G L:0,100,167
+Rv1202	5767	dapE	G L:0,7,111,167
+Rv1203c	357	x	G L:2,18,48,111,139
+Rv1204c	32	x	G L:92,167
+Rv1205	3527	x	G L:2,110,163,167
+Rv1206	7359	fadD6	G L:0,1,111,128,134
+Rv1207	3825	folP2	G L:2_4,128,167
+Rv1208	2235	x	G L:0,128
+Rv1209	328	x	G L:1,128
+Rv1210	6619	tagA	G L:128
+Rv1211	3933	x	G L:125
+Rv1213	1390	glgC	G L:110,128
+Rv1214c	2793	PE14	G L:8,168
+Rv1216c	1877	x	G L:125
+Rv1217c	741	x	G L:163
+Rv1218c	524	x	G L:110
+Rv1219c	4988	x	G L:1,78,79
+Rv1220c	7395	x	G L:2,147
+Rv1221	2099	sigE	G L:18
+Rv1222	582:1	rseA	G L:0
+Rv1223	4088	htrA	G L:0,6,92,153
+Rv1225c	305	x	G L:0
+Rv1226c	1394	x	G L:18,48,153
+Rv1228	2507	lpqX	G L:128
+Rv1229c	7193	mrp	G L:18,125,128
+Rv1230c	680	x	G L:0,125
+Rv1232c	2620	x	G L:1,2,128,163
+Rv1234	4934	x	G L:111
+Rv1235	2484	lpqY	G L:0
+Rv1238	7216	sugC	G L:111
+Rv1240	5220	mdh	G L:111
+Rv1241	2544	x	G L:111
+Rv1242	2922	x	G L:17,110,111
+Rv1244	325	lpqZ	G L:22,132
+Rv1245c	455	x	G L:0,3,4,6,18,98,133
+Rv1248c	891	kgd	G L:8,18
+Rv1249c	1975	x	G L:81,167
+Rv1250	543	x	G L:0,1,8
+Rv1251c	4805	x	G L:0_2,18,128,163
+Rv1252c	936	lprE	G L:1
+Rv1253	18	deaD	G L:0,6,115,132,134,147
+Rv1254	2470	x	G L:3,4
+Rv1256c	4081	cyp130	G L:2,167
+Rv1257c	2542	glcD	G L:0,2,123
+Rv1259	2631	udgB	G L:18,47_68,70_73,75,76
+Rv1260	6067	x	G L:6,47_66,68,70_73,75,76
+Rv1261c	5669	x	G L:47_68,70_73,75,76,128
+Rv1262c	1423	hit	G L:47_66,68,70_73,75,76
+Rv1263	4841	amiB2	G L:0,2,47_73,75,76,110,129,132,133
+Rv1264	3359	x	G L:2,47_68,70_73,75,76,124,125
+Rv1266c	1077	pknH	G L:125
+Rv1267c	826	embR	G L:115
+Rv1270c	5880	lprA	G L:17
+Rv1272c	4715	x	G L:1,8,132
+Rv1273c	3956	x	G L:1,8
+Rv1274	4708	lprB	G L:0,128,136
+Rv1275	3483	lprC	G L:128
+Rv1276c	1094	x	G L:125
+Rv1277	2442	x	G L:1,125,163
+Rv1279	356:1	x	G L:22,165
+Rv1280c	5913	oppA	G L:18,111,128
+Rv1281c	7280	oppD	G L:18
+Rv1286	2138	cysN	G L:0
+Rv1287	5180	iscR	G L:81
+Rv1288	1166	x	G L:3_7,147
+Rv1289	8554	x	G L:3,4
+Rv1290A	6574	x	G L:3,4,147
+Rv1290c	2068	x	G L:3,4,127
+Rv1291c	3626	x	G L:0,2_4,9,110,111,147
+Rv1292	375	argS	G L:0,3,4,6,18,81,98
+Rv1293	3044	lysA	G L:0,1,3_5,8
+Rv1294	5678	thrA	G L:0,2_4,6_8,111,125
+Rv1295	2386	thrC	G L:0,1,3_7
+Rv1296	3452	thrB	G L:3,4,26
+Rv1297	952	rho	G L:3,4
+Rv1298	3820	rpmE	G L:3,4,147
+Rv1299	8115	prfA	G L:0,3,4,22
+Rv1300	3441	hemK	G L:0,3,4,127,128,132
+Rv1301	6375	x	G L:3,4,8,147
+Rv1302	2781	rfe	G L:3,4,6,125
+Rv1303	4285	x	G L:3,4
+Rv1304	3395	atpB	G L:3,4
+Rv1305	3921	atpE	G L:3,4
+Rv1306	2373	atpF	G L:3,4
+Rv1307	4089	atpH	G L:0,1,3,4
+Rv1308	1032	atpA	G L:3,4,131
+Rv1309	7186	atpG	G L:3,4
+Rv1310	3193	atpD	G L:0,3,4
+Rv1311	4896	atpC	G L:3,4,147
+Rv1312	5728	x	G L:3,4
+Rv1314c	432	x	G L:17,125,128
+Rv1315	4913	murA	G L:1,8,17,22,125,128,129,167
+Rv1316c	5680	ogt	G L:128
+Rv1317c	2016	alkA	G L:0,2,8,152,167
+Rv1318c	1313	x	G L:0_2,127,132_134
+Rv1319c	439:1	x	G L:3,4,6,27_36,92,127,132_136,148,151_153,169_171
+Rv1320c	1835	x	G L:0,5,7,8,115,132
+Rv1321	1961	x	G L:125
+Rv1322	8323	x	G L:132
+Rv1322A	4082	x	G L:0,8,22
+Rv1323	996	fadA4	G L:0,2
+Rv1324	2848:1	ybbN	G L:22,133
+Rv1326c	4865	glgB	G L:8
+Rv1327c	6600	glgE	G L:6,22,83,89
+Rv1328	2233	glgP	G L:6,22,49,50,60_64,111
+Rv1329c	407	dinG	G L:0,2,22,36,128,136
+Rv1330c	4473	pncB1	G L:2,82,100,131,163
+Rv1331	6527	clpS	G L:128
+Rv1333	5584	x	G L:123
+Rv1334	7888	mec	G L:0,25,123
+Rv1335	115	cfp10a	G L:25,123
+Rv1336	4273	cysM	G L:1,25,77
+Rv1338	3400	murI	G L:8
+Rv1339	193	x	G L:18,115
+Rv1340	4325	rph	G L:3_7,169
+Rv1341	367:1	x	G L:5
+Rv1342c	7105	x	G L:125
+Rv1343c	87	lprD	G L:0,2,125,163
+Rv1345	4071	fadD33	G L:1
+Rv1346	2285	fadE14	G L:0,125,129
+Rv1348	2769	irtA	G L:2,18,83,86,125,145,148
+Rv1349	2480	x	G L:2
+Rv1350	3107	fabG	G L:18
+Rv1352	6956	x	G L:133
+Rv1353c	1963	x	G L:6_8,98,131,133
+Rv1354c	3437	pleD	G L:3,4,6,8,98,112_118,133,147
+Rv1355c	4110	moeY	G L:112_118,133,136,147
+Rv1356c	6801	x	G L:3,4,98,112_118,133,162
+Rv1357c	3739	x	G L:0,133
+Rv1358	1525	x	G L:6,102,133,151
+Rv1359	3001	x	G L:6,102,133,151
+Rv1360	5274	x	G L:0,6,8,37_42,84,85,89,102,120,121,151,152
+Rv1361c	382	PPE60	G L:127
+Rv1362c	1266	x	G L:102,151,169
+Rv1363c	6095	x	G L:6,9,102,151,163,169
+Rv1364c	2764	x	G L:8,102,151,169
+Rv1365c	2879	rsfA	G L:102,151,169
+Rv1366	1319	x	G L:1,102,151,169
+Rv1367c	3408	x	G L:18,102,125,151,169
+Rv1368	836	lprF	G L:102,151,169
+Rv1371	1452	x	G L:0,77,128,172
+Rv1373	212	x	G L:3,4,18,132
+Rv1375	99	x	G L:0,1
+Rv1376	33	x	G L:0,2,125,133
+Rv1377c	5770	x	G L:0,128
+Rv1378c	2245	x	G L:128,167
+Rv1380	4890	pyrB	G L:0,6,8,95,125,163
+Rv1381	1040	pyrC	G L:0,167
+Rv1382	3498	x	G L:1,3,4,8
+Rv1383	2379	carA	G L:2,110,123,137
+Rv1384	634	carB	G L:110,145
+Rv1385	6851	pyrF	G L:15,18,47_49,80,84,92,95_97,100,110,112,116,122,125,145,153,163
+Rv1386	8596	PE15	G L:0,145,170
+Rv1387	106:1	PPE20	G L:17
+Rv1388	840	mihF	G L:147
+Rv1389	496	gmk	G L:18
+Rv1392	1606	metK	G L:132,134
+Rv1393c	1595	x	G L:0,6,85
+Rv1394c	4396	cyp132	G L:0,6,8,77,89
+Rv1395	1516	x	G L:0,1,6,8,98,124,145
+Rv1396c	1922:1	PE_PGRS25	G L:3_7,10,13_16,18,19,22,24,26,29,31_33,40,42,45,47_49,51,58_64,71,72,76,80,82_90,92,95_98,100,102,110_112,115_117,121_127,131_135,137,140,145,146,153,159,167
+Rv1399c	3015	lipH	G L:2,17,111,125,128,131,163
+Rv1400c	3691	lipI	G L:1,2,110,115,125,128,163
+Rv1402	4835	priA	G L:2,125,132_135
+Rv1405c	1734	x	G L:0,1,15,152
+Rv1406	4656	fmt	G L:0,97,111,145
+Rv1407	4574	fmu	G L:1,26,131
+Rv1410c	763	x	G L:115
+Rv1411c	817	lprG	G L:8
+Rv1412	6065	ribC	G L:18,167
+Rv1414	5134	x	G L:2
+Rv1415	3214	ribA2	G L:0,2,22,83,137,167
+Rv1416	4615	ribH	G L:125
+Rv1417	7240	x	G L:1,111
+Rv1418	1444	lprH	G L:2
+Rv1419	1637	x	G L:3,4,116
+Rv1420	1348	uvrC	G L:110,145
+Rv1421	5126	x	G L:1
+Rv1422	5590	x	G L:0,1,8,111
+Rv1427c	636	fadD12	G L:2,128
+Rv1428c	2545	x	G L:8,100,137
+Rv1430	2773	PE16	G L:3_5,128,167
+Rv1431	1352	x	G L:88,110,123
+Rv1435c	2969	x	G L:166
+Rv1436	8059	gap	G L:0,128
+Rv1438	6736	tpiA	G L:132
+Rv1440	1810	secG	G L:18,74,167
+Rv1441c	2790	PE_PGRS26	L G:0_2,8,9,11,12,17,18,20,23,25,46,69,74,76_79,81,91,93,94,99,101,103_109,111,113_115,117,119,120,123_125,127,129,130,136_139,141_145,148_150,152,154_158,160,161,164_166,168
+Rv1442	2426	bisC	G L:0,2,6,8,22,125,166
+Rv1443c	1107	x	G L:1,2,98
+Rv1444c	2531	x	G L:151
+Rv1445c	2129	devB	G L:26,132,137
+Rv1448c	5059	tal	G L:1,8,14_17,137
+Rv1451	3824	ctaB	G L:3,4,6,17,98,115,124,128,129,137,145,147
+Rv1452c	845:1	PE_PGRS28	G L:1_7,17,33,47,48,71,80,83_85,88_90,92,96,98,116,123_125,127_129,131_138,145_147,151_153,162,163,167,170,171
+Rv1453	72	x	G L:0,26,125,135,145,150,152,167
+Rv1455	912	x	G L:0
+Rv1457c	1591	x	G L:0,2,8
+Rv1461	3902	sufB	G L:152,167
+Rv1462	4169	x	G L:0,2,8
+Rv1463	1711	sufC	G L:132,133
+Rv1464	5988	csd	G L:125
+Rv1466	2203	x	G L:111
+Rv1467c	2005	fadE15	G L:0,2,81
+Rv1468c	795	PE_PGRS29	G L:3_7,10,12,14_16,18,29,33,36,40,42,47_50,61_63,71,72,80,83_90,92,95_97,100,110,112,116,122,125,126,133,135,136,145,146,153,159,167,171
+Rv1469	4515	ctpD	G L:5
+Rv1470	3115	trxA	G L:0
+Rv1472	1611	echA12	G L:0,8
+Rv1473	8142	x	G L:0_2,8,167
+Rv1473A	3832	x	G L:18
+Rv1475c	3475	acn	G L:0,2,8,110,132,147
+Rv1477	638	x	G L:147
+Rv1478	5698	nlpC	G L:125
+Rv1479	8278	moxR1	G L:0,3,4,6,128
+Rv1480	2447	x	G L:0,1
+Rv1481	932	x	G L:129
+Rv1482c	3700	x	G L:0,2,125
+Rv1484	208	inhA	G L:128
+Rv1485	5540	hemH	G L:0,2,8
+Rv1486c	2820	x	G L:0,6
+Rv1487	7092	x	G L:148
+Rv1488	3576	x	G L:2,8,170
+Rv1489	3111	x	G L:111
+Rv1489A	3871	x	G L:1,132
+Rv1491c	5018	x	G L:132
+Rv1492	1100	mutA	G L:2,100
+Rv1493	4941	mutB	G L:0
+Rv1495	691	mazF4	G L:111,138
+Rv1496	84	argK	G L:1,2,8
+Rv1497	2096	lipL	G L:5
+Rv1498c	34	x	G L:6
+Rv1499	2131	x	G L:0,1,128
+Rv1500	2503	pimF	G L:1,5,26
+Rv1501	1308	x	G L:1
+Rv1502	541	x	G L:5,7,118,125,127_129
+Rv1503c	4978	x	G L:1,7,123_131
+Rv1504c	1207	x	G L:0,1,5_7,123_134,138
+Rv1505c	1506	x	G L:46,128
+Rv1506c	2039	x	G L:137
+Rv1507A	6460	x	G L:0
+Rv1507c	3989	x	G L:1,123
+Rv1508A	5769	x	G L:1,77,147
+Rv1508c	1305	x	G L:6,15,77,130,137,146,147,166
+Rv1509	2527	x	G L:1,8,77
+Rv1510	4	x	G L:2,26,77,127,132,134
+Rv1511	4060	gmdA	G L:0,77,128
+Rv1512	1251	epiA	G L:77
+Rv1513	1802	x	G L:77
+Rv1514c	1749	wcaE	G L:77
+Rv1515c	2658	x	G L:77,149
+Rv1516c	1577	x	G L:77
+Rv1519	7577	x	G L:6,132_134
+Rv1520	676	x	G L:0,2,6,26,132_134
+Rv1521	4979	fadD25	G L:124,132
+Rv1522c	1096	mmpL12	G L:123,132
+Rv1523	785	x	G L:14_16,80,123
+Rv1524	1050	x	G L:1,2,5_8,123_129,131_134,147
+Rv1525	1750	wbbL2	G L:1,5,7,16,86,125_129,131,138_145
+Rv1526c	334	x	G L:5_7,15,26,83,88,90,125_129,131_134
+Rv1527c	627	pks5	G L:2,125,132_134
+Rv1528c	7273	papA4	G L:147
+Rv1529	5801	fadD24	G L:132,133
+Rv1530	4139	adh	G L:2,8,132
+Rv1534	3213	acrR	G L:1
+Rv1535	6762	x	G L:115
+Rv1536	348	ileS	G L:1,110,132
+Rv1537	3978	dinX	G L:1,2
+Rv1538c	3216	ansA	G L:2_4,125,163
+Rv1539	2857	lspA	G L:132
+Rv1540	3053	x	G L:26
+Rv1541c	3642	lprI	G L:135,137,138
+Rv1542c	4869	glbN	G L:163
+Rv1543	3688	x	G L:8
+Rv1544	7367	x	G L:0,8,124
+Rv1545	5746	x	G L:129
+Rv1547	920	dnaE	G L:0,8
+Rv1548c	2004	PPE21	G L:0,18
+Rv1549	3800	fadD11.1	G L:1,5_7,81,123_131,163
+Rv1550	4911	fadD11	G L:88
+Rv1551	1751	plsB1	G L:135_149,151_172
+Rv1552	3430	frdA	G L:8
+Rv1553	3134	frdB	G L:14,16,85,89,90,100,111
+Rv1554	4756	frdC	G L:113,114
+Rv1555	6915:1	frdD	G L:14,16,85,89,90,100,113,114
+Rv1556	4007	x	G L:1,90
+Rv1557	2570	mmpL6	G L:5_7,111,123_125,127_129,131
+Rv1558	3958	x	G L:111
+Rv1559	3138	ilvA	G L:111,131
+Rv1560	4318	vapC11	G L:6
+Rv1562c	3689	treZ	G L:0,1,5_7,16,80,81,110,125_131
+Rv1563c	4703	treY	G L:0_2,111,163
+Rv1564c	1720	treX	G L:1,6,8,18
+Rv1565c	602	x	G L:1,18,110
+Rv1566c	4672	x	G L:127,128,132_134
+Rv1568	2009	bioA	G L:0,2,18,47,100,125
+Rv1569	5519	bioF1	G L:0,2,18,22,47,48,74,97,100,111,115,125,128,137,138,145,167
+Rv1570	7309	bioD	G L:2,18,22,47,48,74,97,100,111,115,125,138
+Rv1571	1345	x	G L:74
+Rv1573	5572	x	L G:0_10,12_16,69,81_90,95_110,112_114,116,117,119,123,126_132,134,148
+Rv1575	4166	x	L G:0_2,5,7,9,10,12_14,16,69,81_90,95_97,99_109,112_117,119,123,126,128_130,148
+Rv1576c	1226:1	x	G L:124,125,128
+Rv1578c	1309	x	L G:1_7,9,10,12_16,69,80_90,95_110,112_117,119,123,125_132,134,148
+Rv1579c	9536	x	L G:0_7,9,10,12_16,69,80_90,95_110,112_117,119,123,125_132,134,148
+Rv1580c	5866	x	L G:0_7,9,10,12_16,69,80_90,95_110,112_117,119,123,125_132,134,148
+Rv1581c	4276	x	L G:0,2_7,9,10,12_16,69,80_90,95_110,112_117,119,123,125_132,134,148
+Rv1582c	5649	x	L G:0,1,3_7,9,10,12_16,69,80_90,95_110,112_117,119,123,125_132,134,148
+Rv1583c	2771	x	L G:0,1,3_7,9,10,12_15,69,80_88,95_99,101_110,112_117,119,123,125_130,132,134,148
+Rv1584c	5677	x	L G:0_5,7,10,12_16,69,80_90,95,96,98_110,112_117,119,123,125_132,134,148
+Rv1585c	2282	x	L G:0_5,7,10,12_16,69,80_90,95_110,112_117,119,123,125_132,134,148
+Rv1586c	5183	x	L G:0,1,3_5,7,9,10,12_16,74,80_90,95_110,112_117,119,123,125_132,134,148
+Rv1587c	1369	x	L G:0,1,8,9,12,13,69,74,81,95_97,99,101_109,112_117,119,123,126,130,131,148
+Rv1589	1192	bioB	G L:151
+Rv1590	6743	x	G L:151
+Rv1591	122	x	G L:2,151
+Rv1592c	4262	x	G L:0,6_8,128,151
+Rv1593c	1923	x	G L:151
+Rv1594	5615	nadA	G L:0,8,151
+Rv1595	3288:1	nadB	G L:151
+Rv1596	1297	nadC	G L:151
+Rv1597	3570	x	G L:151
+Rv1598c	4893	x	G L:151
+Rv1599	73	hisD	G L:0_2,125,132,151,163
+Rv1600	764	hisC1	G L:151
+Rv1601	8049:1	hisB	G L:125,151
+Rv1602	6981	hisH	G L:151
+Rv1603	6384	hisA	G L:0,3,4,18,125,151
+Rv1604	5885	impA	G L:151
+Rv1605	2556	hisF	G L:5,8,151
+Rv1606	7072	hisI	G L:0,3,4,8,151
+Rv1607	3087	chaA	G L:2,151
+Rv1608c	6327	bcpB	G L:151
+Rv1609	142	trpE	G L:151
+Rv1610	5442	x	G L:151
+Rv1611	2428	trpC	G L:151
+Rv1612	1153	trpB	G L:1,151
+Rv1613	118	trpA	G L:0,151
+Rv1614	4131	lgt	G L:0,151
+Rv1615	1123	x	G L:8,151
+Rv1616	3371	x	G L:17,151
+Rv1617	1851	pykA	G L:0,2,110,125,151
+Rv1618	3488	tesB1	G L:151
+Rv1619	2778	x	G L:0,2,5,138,151,167
+Rv1620c	1592	cydC	G L:0,7,18,83,126,128,137,151
+Rv1621c	5135	cydD	G L:0_2,18,100,132,133,151
+Rv1622c	67	cydB	G L:3,4,151
+Rv1623c	2003	cydA	G L:151
+Rv1624c	4356	x	G L:151
+Rv1625c	1873	cya	G L:0,1,17,22,80,139_144,151
+Rv1626	3038	nasT	G L:129,151,166
+Rv1627c	5974	x	G L:2,8,100,125,151
+Rv1628c	2467	x	G L:132_134,151
+Rv1629	1572	polA	G L:1,2,15,151
+Rv1630	3181	rpsA	G L:151
+Rv1631	4272	coaE	G L:2,8,128,151
+Rv1632c	4500	x	G L:151
+Rv1633	535	uvrB	G L:151
+Rv1634	1256	ydjE	G L:83,125,129,151
+Rv1635c	3526	x	G L:6,151
+Rv1636	5579	TB15.3	G L:128,151
+Rv1637c	4540	x	G L:115,151
+Rv1638	1964:1	uvrA	G L:0,98,151
+Rv1638A	3412	x	G L:151
+Rv1639c	598	x	G L:0,151
+Rv1640c	1838	lysS	G L:151
+Rv1641	2660	infC	G L:138,151
+Rv1642	2229	rpmI	G L:151
+Rv1643	5945	rplT	G L:151
+Rv1644	246	tsnR	G L:17,100,151,153,163,167
+Rv1645c	4742	x	G L:0,2,8,89,100,136,151,163,167
+Rv1646	4079	PE17	G L:111,151
+Rv1647	3943	x	G L:0,132_136,151
+Rv1648	4207	x	G L:0,147,151
+Rv1649	5538	pheS	G L:2,151
+Rv1650	1894	pheT	G L:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+Rv1651c	331	PE_PGRS30	G L:89,111,151
+Rv1652	3783	argC	G L:3,4,6,15,17,48,115,125,129,151,166
+Rv1653	1804	argJ	G L:0,2,17,151
+Rv1654	1890	argB	G L:2,85,134,151,163
+Rv1655	4300	argD	G L:2,47,48,115,128,151,163
+Rv1656	137	argF	G L:2,18,97,129,151,153
+Rv1657	4542	argR	G L:2,48,110,115,128,151
+Rv1658	2561	argG	G L:0,1,3,4,110,115,151
+Rv1659	346	argH	G L:1,89,110,111,125,129,132,151
+Rv1660	1856	pks10	G L:6,26,129,151,167
+Rv1661	263	pks7	G L:0_7,15,17,18,22,26,83,88,89,98,123,125,129,131_135,151,167,169
+Rv1662	5578	pks8	G L:0,2,5,8,17,18,26,111,125,127_129,132_135,151,167
+Rv1663	3970	pks17	G L:8,128,151,167
+Rv1664	2183	pks9	G L:0,151
+Rv1665	3337	pks11	G L:0,2,6,151
+Rv1666c	4786	cyp139	G L:8,151
+Rv1667c	309	x	G L:151
+Rv1669	3421	x	G L:0,162,163
+Rv1670	2673	x	G L:1
+Rv1672c	6129	ttuB	G L:2,110,170
+Rv1673c	5482	x	G L:170
+Rv1674c	463	arsR	G L:6,169
+Rv1676	4168	x	G L:8,14
+Rv1677	1854	dsbF	G L:1
+Rv1678	2648	x	G L:2,97
+Rv1679	5081	fadE16	G L:18,137
+Rv1680	4520	x	G L:0,2
+Rv1682	244	x	G L:123
+Rv1683	2247	x	G L:1,8,128,132,134,136,152
+Rv1684	4047	x	G L:2,134
+Rv1686c	2511	x	G L:6
+Rv1687c	3745	x	G L:128
+Rv1688	7125	mpg	G L:0,2,15
+Rv1689	4063	tyrS	G L:6
+Rv1691	252	x	G L:2
+Rv1692	5387	x	G L:2
+Rv1693	3684	x	G L:125
+Rv1694	5037	tlyA	G L:3,4,98,123,131,132,135
+Rv1695	7709	ppnK	G L:1
+Rv1696	2056	recN	G L:2,8,100,110,128
+Rv1699	1822	pyrG	G L:0
+Rv1700	4798	nudF	G L:0_2,125
+Rv1701	1785	xerD	G L:0,2,163
+Rv1702c	3039	x	G L:2
+Rv1703c	285	x	G L:2
+Rv1704c	616	cycA	G L:7,8,100,129
+Rv1705c	1254	PPE22	G L:3,4,18,132_134
+Rv1706A	675	x	G L:3,4
+Rv1706c	1075	PPE23	G L:110
+Rv1707	4814	x	G L:3_7,147,163
+Rv1708	7150	x	G L:1
+Rv1709	1969	scpA	G L:0
+Rv1710	1408	scpB	G L:0,1
+Rv1711	449	rluB	G L:0
+Rv1712	3328	cmk	G L:2,125,128
+Rv1713	4463	engA	G L:0_2,15,26,86,125,129,134
+Rv1714	3230	x	G L:0,2,128
+Rv1715	3680	fadB3	G L:0,2,128,129
+Rv1716	678	x	G L:1,2,6,7,115,125
+Rv1718	3546	x	G L:0,2,5,7,125,127_129
+Rv1719	539	x	G L:0,5,7,48,110
+Rv1720c	3109	vapC12	G L:6
+Rv1722	0	x	G L:2,8,18,125,132
+Rv1723	5999	x	G L:100,110
+Rv1724c	557	x	G L:25,47_61,63_70,72_76,112_114,117
+Rv1725c	1483	x	G L:1
+Rv1726	949:1	x	G L:125,129,132
+Rv1727	3396:1	x	G L:167
+Rv1728c	4176	x	G L:8
+Rv1729c	569	x	G L:0,8,110,134
+Rv1730c	342	pbp-2	G L:8,151,167
+Rv1731	732	gabD2	G L:2,128,147,151
+Rv1732c	5188	x	G L:0,2,128,151
+Rv1733c	5340	x	G L:0,151,167
+Rv1734c	9512	x	G L:151
+Rv1735c	6436	x	G L:151,171
+Rv1736c	22	narX	G L:111,151
+Rv1737c	794	narK2	G L:89,125,151
+Rv1738	1599	x	G L:151
+Rv1739c	803	x	G L:151,169
+Rv1740	1507	vapB34	G L:0,151
+Rv1741	6986	vapC34	G L:8,14,15,151
+Rv1742	5218	x	G L:0,33,123,124,151
+Rv1743	3602	pknE	G L:0,47,48,88,132,151
+Rv1745c	5459	idi	G L:80,151
+Rv1746	3399	pknF	G L:0,8,48,125,151
+Rv1747	4174	x	G L:0,1,115,151,167
+Rv1748	4198	x	G L:151
+Rv1749c	724	x	G L:95_97,151
+Rv1750c	1074	fadD1	G L:0,6,18,128,151
+Rv1751	986	x	G L:1,151
+Rv1752	4286	x	G L:151
+Rv1753c	8	PPE24	L G:1,2,12,13,35,37_41,43_45,47_50,53_56,58,61,63_66,70,73_76,78,79,81,91,93,94,99,101_109,111,112,114,116,118,121,126,130,145,148_150,164
+Rv1754c	1229	x	G L:128,163
+Rv1755c	1029	plcD	L G:0_2,5,7_10,14_16,25,80_90,95_101,107_111,115,117,119,123_134,136,137,148
+Rv1758	856:1	cut1	G L:6,17,18,26,36_42,44,83_94,98,120_123,133,135_147,149_172
+Rv1759c	1972:1	wag22	G L:6,17,18,22,26,33,36_42,44,47,48,80,83_94,98,111,120_123,127,132,133,135_147,149_172
+Rv1760	2972	x	G L:8,17,18,36_42,44,83_94,120_123,133,135_147,149_172
+Rv1761c	2037	x	G L:17,18,36_42,44,83_93,120_123,133,135_147,149_172
+Rv1762c	489	x	G L:2,17,18,36_42,44,83_94,116,120_123,133,135_172
+Rv1764	701:1	x	G L:6,36,82,98,134,136,151
+Rv1765A	7827	x	G L:125,127
+Rv1765c	683:1	x	G L:6,98,151,152
+Rv1767	2461	x	G L:0,133
+Rv1768	1649:1	PE_PGRS31	G L:15,48,92,100
+Rv1769	1386	x	G L:81,110
+Rv1770	172	x	G L:18
+Rv1771	276	x	G L:2,129
+Rv1772	5506	x	G L:98
+Rv1773c	270	x	G L:86,125
+Rv1775	4097	x	G L:1,8
+Rv1776c	2119	x	G L:18,151
+Rv1777	2287	cyp144	G L:25_33,125,135,137,151
+Rv1778c	3466	x	G L:82,132
+Rv1779c	1679	x	G L:1,2,97,115,163
+Rv1781c	1314	malQ	G L:0_2,6,20,128
+Rv1782	1431	x	G L:0
+Rv1783	4457	x	L G:0,98,99
+Rv1784	1007	x	G L:0,2,5,7
+Rv1785c	1133	cyp143	G L:18
+Rv1786	2197	x	G L:1
+Rv1787	362	PPE25	G L:25,29_32,44,52,83_90,145
+Rv1788	3439	PE18	G L:17,83_90
+Rv1789	1271	PPE26	G L:48,82_90
+Rv1790	92	PPE27	G L:3,4,6,36,80,82,98,132_134,136,151_153,163,169_171
+Rv1791	4359	PE19	G L:6
+Rv1794	3272	x	G L:0
+Rv1795	1419	eccD5	G L:0,2,166
+Rv1796	2990	mycP5	G L:0,2,16,90
+Rv1798	2029	eccA5	G L:0
+Rv1799	6130	lppT	G L:15
+Rv1800	1601	PPE28	G L:0,102,164
+Rv1801	1347:1	PPE29	G L:0,17,22,26,115,116,118,125
+Rv1802	3031	PPE30	G L:26,124,132
+Rv1803c	464	PE_PGRS32	G L:92
+Rv1804c	6007	x	G L:132
+Rv1805c	2464	x	G L:0,127
+Rv1806	8939	PE20	G L:125,127
+Rv1808	3840	PPE32	G L:84,95,100
+Rv1809	2729	PPE33	G L:6
+Rv1811	1587	mgtC	G L:3_5,7,35,129,163
+Rv1812c	4103	ndh	G L:0,2,5,8,35,83,89,117,125
+Rv1816	3610	x	G L:8
+Rv1817	3756	sdhA	G L:6,8
+Rv1818c	1860:1	PE_PGRS33	G L:1,6,22,26,46,48,49,67,89,92,97,110,111,125,127,129,132_134,136,138,153
+Rv1820	5410	ilvG	G L:0,2,6
+Rv1821	748	secA2	G L:1,2
+Rv1823	3539	x	G L:1
+Rv1827	6457	cfp17	G L:1
+Rv1829	4217	x	G L:0
+Rv1832	2937	gcvB	G L:0_2,163
+Rv1833c	2979	x	G L:0
+Rv1834	1529	x	G L:0,2_4,18,98,125
+Rv1835c	2222	x	G L:125
+Rv1836c	4408	x	G L:0,125,138
+Rv1837c	434	glcB	G L:18,125,147
+Rv1839c	4465	x	G L:166
+Rv1840c	20	PE_PGRS34	G L:17,33,48,80,89,95_97,100,110,111,115,122,138,146,153,167
+Rv1841c	2941	x	G L:0
+Rv1842c	2219	x	G L:8,17,167
+Rv1843c	1073	guaB1	G L:22
+Rv1844c	3760	gnd1	G L:0,137
+Rv1845c	4694:1	x	G L:124,125,132,134,145,167
+Rv1846c	6348	x	G L:164
+Rv1850	1645	ureC	G L:0,2
+Rv1851	3955	ureF	G L:46
+Rv1852	3393	ureG	G L:8
+Rv1857	3732	modA	G L:0
+Rv1858	953	modB	G L:2
+Rv1859	2466	modC	G L:0,98
+Rv1860	1614	apa	G L:5_7,47,96,125,132,163
+Rv1862	470	adhA	G L:0,3_5,7,98,163
+Rv1863c	4416	x	G L:15
+Rv1864c	1522	x	G L:6,125
+Rv1866	3253	x	G L:0,2,83,137
+Rv1867	1463	x	G L:125
+Rv1869c	4897	x	G L:0,92
+Rv1871c	3278	x	G L:1
+Rv1874	327	x	G L:5_7,30
+Rv1875	5818	x	G L:30,122
+Rv1876	6961	bfrA	G L:1,30,147
+Rv1877	3445	x	G L:1,7,8,30
+Rv1878	337	glnA3	G L:0,30,138,140,145
+Rv1879	3282	x	G L:0,30,147
+Rv1880c	3666	cyp140	G L:30
+Rv1881c	2815	lppE	G L:30,100
+Rv1882c	5049	x	G L:5,30
+Rv1883c	3428	x	G L:0,30
+Rv1884c	690	rpfC	G L:30,163
+Rv1885c	5455	x	G L:30,152,170
+Rv1886c	966	fbpB	G L:8,30,132
+Rv1887	647:3	x	L G:14_16,51,71,72,77_79,81,91_110,112,122,126,130
+Rv1888A	529	x	G L:30
+Rv1888c	3209	x	G L:30,128
+Rv1889c	2939	x	G L:0,30
+Rv1890c	4388	x	G L:0,30
+Rv1891	3054	x	G L:8,30
+Rv1892	4059	x	G L:0,30
+Rv1893	5430	x	G L:30,160
+Rv1894c	863	x	G L:8,30,132
+Rv1895	3887	x	G L:2,8,22,30,89,132_134,147,164
+Rv1896c	6003	x	G L:0,30
+Rv1897c	3660	dtd	G L:30
+Rv1898	4995	x	G L:30
+Rv1899c	265	lppD	G L:2,26,30
+Rv1900c	1717	lipJ	G L:30,89,92,128
+Rv1901	2450	cinA	G L:1,2,30
+Rv1902c	2240	nanT	G L:30,95_97
+Rv1903	2434	x	G L:30
+Rv1904	1296	x	G L:30
+Rv1905c	2949	aao	G L:30
+Rv1906c	2170	x	G L:30,163
+Rv1907c	980	x	G L:30
+Rv1908c	1759	katG	G L:0,30
+Rv1909c	3338	furA	G L:165
+Rv1910c	2540	x	G L:0,3,4,26,132_134,165
+Rv1911c	19	lppC	G L:0,3,4,132_134,165
+Rv1912c	746	fadB5	G L:165
+Rv1913	929	x	G L:134,165
+Rv1914c	3909	x	G L:165
+Rv1915	4657	aceAa	G L:1,2,5,9_13,111,113_119,123_147,151_172
+Rv1916	2153	aceAb	G L:2_8,147,165
+Rv1917c	49	PPE34	G L:0,2_7,10,14_16,26,82_90,92,100,127_129,131_138,151_153,163,165,169_171
+Rv1918c	802	PPE35	G L:33,67,71,115
+Rv1920	5013	x	G L:133
+Rv1921c	1144	lppF	G L:5
+Rv1922	875	x	G L:135,136
+Rv1923	3205	lipD	G L:1,6,8,18,98,125
+Rv1924c	2992	x	G L:2
+Rv1928c	2961	x	G L:167
+Rv1929c	4619	x	G L:110,132,134,167
+Rv1930c	1061	x	G L:2
+Rv1931c	6530	ftrA	G L:6
+Rv1933c	2797	fadE18	G L:2
+Rv1934c	2529	fadE17	G L:167
+Rv1935c	96	echA13	G L:0
+Rv1936	195	x	G L:0,129
+Rv1937	2505	x	G L:137
+Rv1938	3702	ephB	G L:0,3,4,6,128
+Rv1940	4926	ribA1	G L:2,18
+Rv1941	1250	x	G L:1,3,4
+Rv1942c	3418	mazF5	G L:74,128
+Rv1943c	1263	mazE5	G L:130
+Rv1947	5570	x	G L:0,22,152
+Rv1948c	3251	x	G L:132_134
+Rv1949c	2971	x	G L:83
+Rv1951c	1780	x	G L:0
+Rv1952	8056	vapB14	G L:18
+Rv1954c	3806	x	G L:8
+Rv1956	2802	higA1	G L:22
+Rv1959c	6151	parE	G L:167
+Rv1960c	8040	parD1	G L:167
+Rv1963c	6139	mce3R	G L:0,2
+Rv1964	8072	yrbE3A	G L:3,4,25,52,124
+Rv1965	2124	yrbE3B	G L:0,3,4,8,124
+Rv1966	985	mce3A	G L:8,124,125
+Rv1967	1644	mce3B	G L:0,124,125,167
+Rv1968	2506	mce3C	G L:0_2,5,7,10,14_17,22,80,83_90,92,95_97,100,124_126,153,163,167,172
+Rv1969	4215	mce3D	G L:89,115,124,125
+Rv1970	363	lprM	G L:2,124,125
+Rv1971	1939	mce3F	G L:124,125
+Rv1972	4164	x	G L:124,125
+Rv1973	1882	x	G L:2,18,124,125
+Rv1974	6904	x	G L:124,125
+Rv1975	4901	x	G L:1,124,125
+Rv1976c	834:1	x	G L:2,124,125
+Rv1977	475:1	x	G L:123,124
+Rv1978	6361	x	G L:2_8,123,132_134,162,163
+Rv1979c	3027	x	G L:123,132
+Rv1983	2065	PE_PGRS35	G L:8
+Rv1984c	4938	cfp21	G L:8,18
+Rv1985c	3148	iciA	G L:6
+Rv1986	5073	x	G L:1,17,151
+Rv1987	1315	x	G L:151
+Rv1988	2986	x	G L:151
+Rv1989c	2934	x	G L:151
+Rv1990A	4688	x	G L:128,151
+Rv1990c	2228	x	G L:151
+Rv1991c	5800	mazF6	G L:151
+Rv1992c	1199	ctpG	G L:74,151
+Rv1993c	837	x	G L:17,18,34_36,74,123,129,151
+Rv1994c	4028	arsR	G L:17,18,34_36,74,123,125,128,129,151
+Rv1995	4689	x	G L:8,17,18,34_36,74,123,134,151,165
+Rv1996	1304	x	G L:8,17,18,34_36,151,152,165
+Rv1997	448	ctpF	G L:0,110,151
+Rv1998c	4647	x	G L:0,1,8,128,151
+Rv1999c	465	x	G L:2,8,111,132,148,151
+Rv2000	2335	x	G L:151
+Rv2001	3110	x	G L:111,151
+Rv2002	4933	fabG3	G L:151
+Rv2003c	4205	x	G L:2,151
+Rv2004c	4903	x	G L:0,151
+Rv2005c	3135	x	G L:0,151
+Rv2006	2204	otsB1	G L:147,151
+Rv2007c	4442	fdxA	G L:151
+Rv2008c	1135	x	G L:1,151
+Rv2009	4031	vapB15	G L:151
+Rv2010	8220	vapC15	G L:151
+Rv2011c	6715	x	G L:1,151
+Rv2012	715	x	G L:151,152
+Rv2013	7035	x	G L:2,83_90,125,151,152,166
+Rv2014	740	x	G L:6,125,151,152
+Rv2016	4400	x	G L:26,34,138_147,149_172
+Rv2017	2659	x	G L:1,26,139_144,151
+Rv2018	1015	x	G L:26,95_97,110,139_144,151
+Rv2019	5437	x	G L:26,95_97,139_145,171
+Rv2020c	3313	x	G L:26,132_134
+Rv2021c	1960	x	G L:26
+Rv2022c	3259	x	G L:26
+Rv2023c	2225	x	G L:26,132
+Rv2024c	4374	x	L G:0_2,12_16,27_35,37_41,43_45,47_51,53_61,63_67,69_79,81,91,93,94,99_114,116,118,120_122,126,130,148_150
+Rv2025c	2280	x	G L:2
+Rv2026c	7775	x	G L:115,132,169
+Rv2027c	665	dosT	G L:85,132
+Rv2028c	1242	x	G L:2,89
+Rv2029c	2567	pfkB	G L:0,133
+Rv2031c	2873	hspX	G L:6
+Rv2033c	3188	x	G L:26,125,153
+Rv2034	1312	arsR	G L:134
+Rv2035	6027	x	G L:8
+Rv2037c	2267	x	G L:3,4,98
+Rv2038c	3471	x	G L:18
+Rv2040c	1216	x	G L:5
+Rv2041c	4944	x	G L:1,14
+Rv2043c	469	pncA	G L:18,21,22,34,48_50,52,57_64,139_141,152,158_160,165,169_171
+Rv2044c	1743	x	G L:2,132_134,160
+Rv2045c	1786	lipT	G L:0,145
+Rv2046	4475	lppI	G L:163
+Rv2047c	3190	x	G L:1,2,8,110,125,152
+Rv2048c	2613	pks12	G L:0_8,10,14_18,22,26,36,80_90,92,98,100,110,125,127_129,131_136,151_153,162,163,166,169_171
+Rv2049c	4212	x	G L:18
+Rv2050	7962	x	G L:0,1,115
+Rv2051c	159	ppm1	G L:80,88,163
+Rv2052c	1486:1	x	G L:8,92,98,100,166
+Rv2053c	6414	fxsA	G L:0,2,83,110
+Rv2057c	8658	rpmG	G L:0,146_172
+Rv2058c	5827:1	rpmB	G L:0
+Rv2061c	2265	x	G L:0,115
+Rv2062c	190	cobN	G L:0,2,5,128
+Rv2064	667	cobG	G L:2,8,26,47,48,97,100,111,129,137,148,167
+Rv2065	4722	cobH	G L:3,4,18,47,48,88,115,132,148
+Rv2066	685	cobI	G L:2_4,8,48,100,125,163
+Rv2067c	1575	x	G L:94,128
+Rv2070c	2277	cobK	G L:5_7,81,125_131
+Rv2072c	666	cobL	G L:0
+Rv2073c	2690	x	G L:2,123,124
+Rv2074	1521	x	G L:123,124
+Rv2075c	927	x	G L:2,5,7,123,124,163
+Rv2077A	5790	x	G L:26,137
+Rv2077c	2701	x	G L:91_94
+Rv2080	154	lppJ	G L:7
+Rv2083	1477	x	G L:111
+Rv2084	1671	x	G L:0,5,7,125_129,132,163,167
+Rv2086	5931	x	G L:8,18
+Rv2088	312	pknJ	G L:1,18,125
+Rv2091c	3751	x	G L:0,3_6
+Rv2092c	1108	helY	G L:1,2,81,83,95
+Rv2093c	1738	tatC	G L:131
+Rv2095c	1676	pafC	G L:0,2,129
+Rv2096c	3248	pafB	G L:2,128
+Rv2097c	1487	pafA	G L:0,1,8,128,129
+Rv2100	1056	x	G L:2,15,85,111,125,132_134
+Rv2101	720:1	helZ	G L:0,112_119,148
+Rv2102	642	x	G L:112_119
+Rv2103c	5244	vapC37	G L:0
+Rv2104c	5413	vapB37	G L:125
+Rv2107	4162	PE22	G L:3,4,25
+Rv2108	1490	PPE36	G L:111,127,136,153
+Rv2109c	4782	prcA	G L:2,125
+Rv2112c	233	dop	G L:2
+Rv2113	3679	x	G L:18,163
+Rv2114	672	x	G L:95_97,130,147
+Rv2115c	5845	mpa	G L:0,8
+Rv2118c	5029	x	G L:0,2
+Rv2119	3233	x	G L:0
+Rv2120c	2042	x	G L:0,166
+Rv2121c	3628	hisG	G L:2
+Rv2123	1158	PPE37	G L:0,9_11,137
+Rv2124c	1355	metH	G L:2,9_11,18,83_90
+Rv2125	3946	x	G L:22,125,129,137,147,166,172
+Rv2126c	211:1	PE_PGRS37	G L:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+Rv2127	1799	ansP1	G L:8,14,80
+Rv2129c	1035	x	G L:2,6,137,145
+Rv2131c	6278	cysQ	G L:0,2,8
+Rv2132	9552	x	G L:123
+Rv2133c	227	x	G L:125
+Rv2135c	7722	x	G L:129
+Rv2136c	2274	uppP	G L:1,152
+Rv2138	2034	lppL	G L:0,18,85,125
+Rv2140c	7843	TB18.6	G L:8
+Rv2141c	2218	x	G L:1
+Rv2142c	1461	parE2	G L:167
+Rv2143	8675	x	G L:0,3,4,8,14,98,137,138
+Rv2144c	8015	x	G L:8,167
+Rv2145c	5609	wag31	G L:2,6
+Rv2146c	4190	yggT	G L:8,16
+Rv2148c	94	x	G L:147
+Rv2149c	1561	yfiH	G L:1,8,167
+Rv2150c	3432	ftsZ	G L:0,163
+Rv2151c	2580	ftsQ	G L:0,17
+Rv2152c	806	murC	G L:0,6,83,125
+Rv2153c	2326	murG	G L:47,97,100,126,153
+Rv2154c	81	ftsW	G L:0,1,22,48,95,97,98,145
+Rv2156c	8044	mraY	G L:8,128
+Rv2157c	1051:1	murF	G L:0,6,15,95
+Rv2158c	576:1	murE	G L:2,47,48,125,128,137
+Rv2159c	1249	x	G L:2,18,26,48,85,86,95,97,100,112,125,128,131,153
+Rv2160c	4200	x	G L:5_7,18,74,110,123_125,127_129,131_172
+Rv2161c	4577	x	G L:47,48
+Rv2162c	878:1	PE_PGRS38	G L:1_4,8,26,88,89,95,100,125,127_129,131_134,136,137,163,167
+Rv2163c	2818	pbpB	G L:8,125,128
+Rv2164c	4621	x	G L:2,8,22,47,48,97,153,163,167
+Rv2165c	3547	mraW	G L:0,2,5,111
+Rv2166c	4048	mraZ	G L:1
+Rv2169c	4393	x	G L:137
+Rv2170	2560	x	G L:0,2
+Rv2174	950	x	G L:0,128
+Rv2176	1317	pknL	G L:3,4,134
+Rv2180c	6281	x	G L:26
+Rv2181	2289	x	G L:8
+Rv2183c	7056	x	G L:0
+Rv2184c	2107	x	G L:0,2
+Rv2185c	9133	TB16.3	G L:6
+Rv2188c	1218	pimB	G L:2
+Rv2189c	2136	x	G L:0
+Rv2190c	440:1	x	G L:81,132
+Rv2191	628	x	G L:0_2,6,18,34,35,47,48
+Rv2194	2012	qcrC	G L:1,8,163
+Rv2196	3315	qcrB	G L:1,127_129
+Rv2197c	867	x	G L:1,132
+Rv2198c	3607	mmpS3	G L:0,8,88
+Rv2199c	1211	x	G L:128
+Rv2200c	6993	ctaC	G L:1,8,115
+Rv2201	2955	asnB	G L:1,6,17,128
+Rv2202c	4128	cbhK	G L:8,111
+Rv2203	2052	x	G L:0
+Rv2204c	2346	iscA	G L:14,15,88
+Rv2205c	3470	x	G L:36
+Rv2208	1440	cobS	G L:97
+Rv2210c	4964	ilvE	G L:8,132
+Rv2211c	4434	gcvT	G L:137
+Rv2212	4517	x	G L:0,6,8
+Rv2213	1934	pepB	G L:1,126
+Rv2214c	3247	ephD	G L:0,2,133
+Rv2215	1438	dlaT	G L:1
+Rv2216	955	x	G L:2,132
+Rv2217	2415	lipB	G L:2,111
+Rv2219	5877	x	G L:2,6,163
+Rv2219A	918	x	G L:163
+Rv2220	221	glnA1	G L:0,6
+Rv2221c	2118	glnE	G L:0_2,6,8,17,22,47,48,97,128,133,153,166
+Rv2222c	797	glnA2	G L:1,90,111,125
+Rv2223c	422	slpD	G L:0,132
+Rv2224c	3923	caeA	G L:3_7,125
+Rv2225	3114	panB	G L:2,115,125,163
+Rv2226	6226	rnpB	G L:2,163
+Rv2227	6694	x	G L:1,5_7,81,123_131
+Rv2228c	1773	x	G L:1,6,18,98,164
+Rv2229c	3353	x	G L:147
+Rv2230c	125	x	G L:0_2,8,9
+Rv2231c	174	cobC	G L:2,88
+Rv2232	187	x	G L:2
+Rv2234	6057	ptpA	G L:0,2,129
+Rv2235	3064	surF1	G L:0,170
+Rv2236c	1991	cobD	G L:163
+Rv2237	1018	x	G L:0,1
+Rv2239c	2761	x	G L:135
+Rv2240c	1966	x	G L:125,137
+Rv2241	2081	aceE	G L:5,16,18,100,110,126,147
+Rv2242	1768	pucR	G L:98
+Rv2243	1792	fabD	G L:2
+Rv2245	1658	kasA	G L:125,132
+Rv2246	4125	kasB	G L:132
+Rv2247	8311	accD6	G L:0,3,4,81,111,147
+Rv2248	2148	x	G L:0,2,22,111,125,128,145,147
+Rv2249c	919	glpD1	G L:0,8,125
+Rv2250c	860	x	G L:2
+Rv2251	3159	x	G L:136
+Rv2252	3574	x	G L:111,132
+Rv2254c	7120	x	G L:162
+Rv2256c	6819	x	G L:0
+Rv2258c	844	x	G L:2,26,131,132,151,152,169
+Rv2259	1699	adhE2	G L:0,2
+Rv2260	5983	x	G L:0,1
+Rv2261c	3647	lnt	G L:3,4
+Rv2263	3927	x	G L:2_4,6,17,125,146_172
+Rv2264c	1943	x	G L:3,4,17,26,133,134
+Rv2265	1168	x	G L:0,2_4,6,22
+Rv2266	161	cyp124	G L:1
+Rv2267c	3699	x	G L:0,172
+Rv2268c	930	cyp128	G L:110
+Rv2269c	3008	x	G L:128
+Rv2270	2755	lppN	G L:112_114,116,118,128,132
+Rv2271	8814	x	G L:112_119
+Rv2272	5044	yidH	G L:26,112_119
+Rv2273	1001	x	G L:111_119,124
+Rv2274c	3149	x	G L:1,112_119
+Rv2275	2239	x	G L:112_119
+Rv2276	2627	cyp121	G L:0,1,15,110,112_119,147,167
+Rv2277c	549	x	G L:18,112_119,147
+Rv2280	4997	x	G L:8
+Rv2281	228	pitB	G L:0,1,126
+Rv2282c	2587	tdcA	G L:1
+Rv2284	6099	lipM	G L:17,110
+Rv2285	4969	x	G L:0,1
+Rv2286c	231	x	G L:152,153
+Rv2287	6973	yjcE	G L:0_2,8
+Rv2288	8219	x	G L:6
+Rv2289	4418	cdh	G L:3_7,25,163
+Rv2291	5405	sseB	G L:2,132
+Rv2293c	4360	x	G L:0_2,5_7,81,123_149,151_172
+Rv2294	652	x	G L:123
+Rv2296	1930	x	G L:125,132,147
+Rv2297	7689	x	G L:147
+Rv2298	2584	x	G L:125,129,147
+Rv2299c	1482	htpG	G L:0,6,8,84,124,125,162,163
+Rv2301	163	cut2	G L:88,128
+Rv2303c	3256	x	G L:0
+Rv2304c	3858	x	G L:147
+Rv2305	5457	x	G L:2
+Rv2307A	4586	x	G L:128
+Rv2307B	8896	x	G L:0,6,100
+Rv2307c	2117	bem46	G L:132,163
+Rv2308	3659	x	G L:6,128
+Rv2309A	7499	x	G L:22
+Rv2309c	843	xerC	G L:1
+Rv2311	1775	x	G L:2
+Rv2312	2371	x	G L:0
+Rv2313c	4484	x	G L:1,8
+Rv2315c	453	tldD	G L:1
+Rv2316	168	uspA	G L:17
+Rv2318	2852	uspC	G L:1,151_153,163,169_171
+Rv2319c	4481	x	G L:0,1,5_7,22,81,125,127_131,148,151_153,163,169_171
+Rv2320c	1995	rocE	G L:0,81,148,151
+Rv2321c	562	rocD2	G L:1,7,8,151
+Rv2322c	378	rocD1	G L:110,151
+Rv2323c	3535	x	G L:151
+Rv2324	1503	lrp	G L:0,151
+Rv2325c	5192	x	G L:2,151
+Rv2326c	997	cbiO	G L:2,151
+Rv2327	2652	x	G L:151
+Rv2328	3817	PE23	G L:0,151
+Rv2329c	686	narK1	G L:147,151
+Rv2330c	2232	lppP	G L:151
+Rv2331	4745	x	G L:151
+Rv2331A	3150	x	G L:151,163
+Rv2332	2783	mez	G L:1,5,151
+Rv2333c	5510	mmr	G L:151
+Rv2334	873	cysK1	G L:2,151
+Rv2335	1778	cysE	G L:1,18,151
+Rv2336	1803	x	G L:0,147,151
+Rv2337c	2137	x	G L:0,151,170
+Rv2338c	910	moeW	G L:26,151
+Rv2339	880	mmpL9	G L:1,115,132,151
+Rv2340c	934	PE_PGRS39	G L:2,26,151
+Rv2341	2345	lppQ	G L:151
+Rv2342	1547	x	G L:151
+Rv2343c	2024	dnaG	G L:2,18,151
+Rv2344c	4335	dgt	G L:2,48,125,151
+Rv2345	682	x	G L:2,137,151
+Rv2348c	1446	x	G L:98,125,132,134,151,153
+Rv2349c	1718	plcC	G L:0,151
+Rv2351c	1117	plcA	G L:125,129,135,137,151
+Rv2352c	207	PPE38	G L:0,6,80,82,98,125,135,137,151
+Rv2353c	852:2	PPE39	G L:91,93_97,125,145,149,152,171
+Rv2356c	852:1	PPE40	G L:0,22,36,46,77,82,98,122,132_135,137,145,149,151,153,163,166,169_171
+Rv2357c	2724	glyS	G L:6
+Rv2361c	1282	uppS	G L:6,145
+Rv2362c	5544	recO	G L:0,125
+Rv2363	3241	amiA2	G L:1,2,8,100
+Rv2364c	1471	era	G L:0,1
+Rv2365c	1885	x	G L:167
+Rv2366c	3835	corC	G L:128
+Rv2367c	240	x	G L:1,2
+Rv2369c	10100	x	G L:0,129
+Rv2370c	4257	x	G L:26,128,129
+Rv2371	3744	PE_PGRS40	G L:2,6,33,47
+Rv2372c	1543	rsmE	G L:2,5,6,111
+Rv2373c	5019	dnaJ2	G L:0,167
+Rv2375	2414	x	G L:111
+Rv2376c	6690	cfp2	G L:2,125
+Rv2378c	3099	mbtG	G L:2_4,6,8,163
+Rv2379c	1892	mbtF	G L:8,92,129
+Rv2380c	1940	mbtE	G L:110,125,129,167
+Rv2381c	4973	mbtD	G L:2,18,145
+Rv2382c	1830	mbtC	G L:1,48
+Rv2383c	412	mbtB	G L:0_2,8,22,115,167
+Rv2384	5022	mbtA	G L:0,1,22,111
+Rv2385	2583	mbtJ	G L:6
+Rv2386c	8319	mbtI	G L:0_2,6,7
+Rv2387	6352	x	G L:0,6,8,132
+Rv2388c	143	hemN	G L:8,89,163
+Rv2390c	1187	x	G L:1,25,139_144
+Rv2391	1069	nirA	G L:81,130
+Rv2392	4512	cysH	G L:1,8,26,126
+Rv2394	2766	ggtB	G L:0
+Rv2395	4493	x	G L:17,163
+Rv2396	1899	PE_PGRS41	G L:6,80,83,92,100,110,125,128,132,135,137,138,145,159,163
+Rv2397c	2146	cysA1	G L:163
+Rv2398c	641	cysW	G L:3,4,7,169
+Rv2399c	1169	cysT	G L:8,81,169
+Rv2400c	5648:1	subI	G L:0,125
+Rv2401	4336:1	x	G L:166
+Rv2402	1325	x	G L:0,2,18
+Rv2403c	4427	lppR	G L:111
+Rv2404c	2814	lepA	G L:0,22
+Rv2407	2333	x	G L:126
+Rv2408	398	PE24	G L:0,2,110
+Rv2409c	1025	x	G L:1
+Rv2410c	2412	x	G L:0,152
+Rv2411c	2057	x	G L:0,8
+Rv2412	4314	rpsT	G L:0,125,131
+Rv2413c	2161	x	G L:2,131,152
+Rv2415c	599	comEA	G L:2
+Rv2416c	1586	eis	G L:1,2,18,128
+Rv2417c	1203	x	G L:0,5,132,133,136
+Rv2418c	2530	x	G L:0,3,4,6,7,80
+Rv2419c	2472	x	G L:2_4,98,131,163
+Rv2421c	3593	nadD	G L:129
+Rv2422	7055	x	G L:2
+Rv2423	4907	x	G L:125,128
+Rv2424c	322	x	G L:6,36,80,135,136,152,153,163,169_171
+Rv2428	3874	ahpC	G L:0,6
+Rv2429	5587	ahpD	G L:147
+Rv2430c	6393	PPE41	G L:128,147
+Rv2431c	5509	PE25	G L:5
+Rv2432c	1197	x	G L:80,92,163
+Rv2433c	5750	x	G L:111,163
+Rv2434c	1562	x	G L:0,146_150,154_172
+Rv2435c	1629	x	G L:1,8
+Rv2436	5079	rbsK	G L:6,8,125
+Rv2440c	2334	obgE	G L:0,2,7,110
+Rv2441c	4783	rpmA	G L:18
+Rv2442c	1833	rplU	G L:8
+Rv2443	5495	dctA	G L:0,1,8,111,125,134
+Rv2444c	816	rne	G L:0
+Rv2447c	3521	folC	G L:0
+Rv2448c	4692	valS	G L:0_2,5,8,16
+Rv2449c	4470	x	G L:163,171
+Rv2450c	2251	rpfE	G L:89,163
+Rv2453c	2041	mobA	G L:132
+Rv2454c	3601	korB	G L:129
+Rv2455c	3505	korA	G L:0,1
+Rv2456c	2574	x	G L:129
+Rv2457c	2730	clpX	G L:0,1,100
+Rv2458	6119	mmuM	G L:2,27,29
+Rv2459	104	mmr	G L:110
+Rv2461c	1344	clpP	G L:123
+Rv2462c	4910	tig	G L:18
+Rv2463	6243	lipP	G L:0,2
+Rv2464c	379	nei	G L:122
+Rv2465c	747	x	G L:2
+Rv2466c	70	x	G L:0,111
+Rv2467	249	pepN	G L:0,1,8,115,127
+Rv2468c	7043	x	G L:2,163
+Rv2471	2479	aglA	G L:125
+Rv2472	3654	x	G L:128
+Rv2473	1377	x	G L:0
+Rv2474c	664	x	G L:0
+Rv2476c	2490	gdh	G L:1,8,14,15,86,90,100,129
+Rv2477c	214	x	G L:5_7
+Rv2478c	5949	x	G L:123,132
+Rv2482c	2760	plsB2	G L:0_2,132,167
+Rv2483c	1817	plsC	G L:6,98
+Rv2484c	3231	x	G L:0,125
+Rv2485c	807	lipQ	G L:129
+Rv2486	4177	echA14	G L:2,37_42,120_122,129
+Rv2487c	24	PE_PGRS42	G L:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+Rv2488c	286	x	G L:1,13,110,163,167
+Rv2489c	2147	x	G L:13,18,129
+Rv2490c	2178:1	PE_PGRS43	G L:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+Rv2492	165	x	G L:19_24,43,82,128,129
+Rv2494	1929	x	G L:0
+Rv2495c	2877	pdhC	G L:0,18,89,100,128
+Rv2496c	6123	pdhB	G L:18,111
+Rv2497c	1335	pdhA	G L:111
+Rv2498c	3013	citE	G L:0,18,128
+Rv2499c	8487	x	G L:0
+Rv2500c	90	fadE19	G L:1
+Rv2502c	5083	accD1	G L:0,15,87,147
+Rv2504c	308	scoA	G L:2,81
+Rv2505c	413	fadD35	G L:1,8
+Rv2506	3758	acrR	G L:128
+Rv2508c	2900	x	G L:1
+Rv2510c	3564	x	G L:0,2,100
+Rv2511	3179	orn	G L:22
+Rv2513	1258	x	G L:111
+Rv2514c	365	x	G L:18
+Rv2515c	1201	x	G L:0,2,8,111,125,128,129
+Rv2516c	2692	x	G L:0,18,81,128,138,148
+Rv2517c	9018	x	G L:18,111,115,128,131,137,163
+Rv2518c	4095	lppS	G L:0,2_4,18,111,125,137
+Rv2519	4038	PE26	G L:123,125
+Rv2521	6405	bcp	G L:128
+Rv2522c	4283	x	G L:2,7,110,111
+Rv2526	6548	vapB17	G L:2,18,135_172
+Rv2527	2015	vapC17	G L:18
+Rv2528c	3010	mrr	G L:0
+Rv2531c	2073	x	G L:0,1,110,152
+Rv2532c	7020	nusB	G L:0,2,9
+Rv2533c	7485	nusB	G L:1,5,9,15,16,83,85_88,90,100,169
+Rv2534c	7421	efp	G L:2
+Rv2535c	2066	pepQ	G L:0,2,8,83,86,89,100
+Rv2536	4210	x	G L:2,8
+Rv2537c	1554	aroD	G L:1,2
+Rv2538c	648	aroB	G L:5,6
+Rv2539c	5822	aroK	G L:2,100,111,166
+Rv2540c	1223	aroF	G L:100,128
+Rv2541	2494	x	G L:2,5_7,9,10,14_16,19,33,34,40,42,47_49,51,61_63,71,72,80,83_90,92,95_97,100,102,110,112,116,122,124,126,128,134,140,145,146,153,164,167
+Rv2542	3223:1	x	G L:6,132
+Rv2544	332:1	lppA	G L:92,132_134,136,152,153,171
+Rv2549c	1897	vapC20	G L:18
+Rv2551c	3079	aroE	G L:48,125
+Rv2552c	2054	aroE	G L:2,128
+Rv2553c	553	x	G L:0,8,128
+Rv2554c	7530	ruvX	G L:0,2,133,167
+Rv2555c	1339	alaS	G L:2,6,18
+Rv2558	8533	x	G L:0,6,166
+Rv2559c	2945	ycaJ	G L:26,48,127,163
+Rv2560	1531	x	G L:110
+Rv2561	1564	x	L G:0,14,30,35,39_41,43,45,47,49,55,61,64,66,70,73,76_79,91,98_110,112_119,126,149
+Rv2563	3519	x	G L:0,111,129
+Rv2564	2402	glnQ	G L:132_134
+Rv2565	5904	x	G L:0,18,98,131
+Rv2566	2621	x	G L:2,14,83,125,128,129,163
+Rv2567	2908	x	G L:0,2,36,125
+Rv2569c	3072	x	G L:0,2,22
+Rv2571c	1585	x	G L:152,169
+Rv2572c	5313	aspS	G L:2,129,166
+Rv2573	11	x	G L:2,5,128,166,170
+Rv2575	6524	x	G L:123,163
+Rv2577	1359	x	G L:26
+Rv2578c	2638	x	G L:2,18,95_97
+Rv2579	2357	dhaA	G L:95_97
+Rv2580c	5123	hisS	G L:163
+Rv2581c	679	x	G L:8,18
+Rv2582	838	ppiB	G L:8
+Rv2583c	2030	relA	G L:0,1,6,8,128
+Rv2584c	3416	apt	G L:100,125
+Rv2585c	954	x	G L:1,6,8,110,125,137
+Rv2586c	2475	secF	G L:6,97
+Rv2587c	2910	secD	G L:0,18
+Rv2588c	1533	yajC	G L:1
+Rv2589	1687	gabT	G L:0,2
+Rv2590	993	fadD9	G L:0,14,15,110,111,132,162
+Rv2591	572:1	PE_PGRS44	G L:21,22,24,89,92,127,131,137,163
+Rv2592c	1048	ruvB	G L:48,89,110,163
+Rv2593c	7534	ruvA	G L:0,2,6
+Rv2598	2526	x	G L:2
+Rv2600	4920	x	G L:1,8,128
+Rv2601	551	speE	G L:2,26,119,125,131,163
+Rv2602	2728	vapC41	G L:1
+Rv2604c	2390	pdxT	G L:0,128,129,147
+Rv2605c	1827	tesB2	G L:1,147,163
+Rv2606c	1610	snzP	G L:110,128,152
+Rv2607	3992	pdxH	G L:8,132
+Rv2608	4357	PPE42	G L:6,8,17,110
+Rv2609c	5258	x	G L:2,111,163
+Rv2610c	4305	pimA	G L:0,110
+Rv2611c	2017	htrB	G L:81,128
+Rv2612c	923	pgsA1	G L:1,22,163,164
+Rv2613c	5941	x	G L:1,98,111
+Rv2614A	4860	x	G L:2,18,132,133,135
+Rv2614c	4602	thrS	G L:0,135
+Rv2615c	1869	PE_PGRS45	G L:2_4,7,14,15,18,22,26,48,49,80,83,85,86,88_90,92,95,98,100,110,128,132,134_136,145,152,163,169
+Rv2617c	9583	x	G L:1
+Rv2618	3995	x	G L:1,2,115
+Rv2620c	5087	x	G L:111,128
+Rv2621c	2959	x	G L:80,147
+Rv2622	1791	x	G L:2
+Rv2624c	2035	x	G L:123
+Rv2625c	4173	x	G L:0,110
+Rv2628	319	x	G L:147
+Rv2631	540	x	G L:128
+Rv2634c	765	PE_PGRS46	G L:15,47,48,80,83,85,89,97,98,100,110
+Rv2635	1140	x	G L:125
+Rv2636	5253	x	G L:5_7,17,167
+Rv2637	899	dedA	G L:0,148
+Rv2638	945	x	G L:1,2,125,134
+Rv2639c	5923	x	G L:134
+Rv2640c	518	arsR	G L:134
+Rv2641	1005	cadI	G L:0,134
+Rv2642	2395	arsR	G L:2,125,134,137
+Rv2643	3375	arsC	G L:2,18,110,125,129,134
+Rv2645	4456	x	G L:124,125,131,132,134,163
+Rv2646	454	xerC	G L:1,2,5,8,18,81,111,124,125,131
+Rv2647	78	x	G L:1,124,131,132,134
+Rv2651c	556	x	G L:6,124
+Rv2652c	3050	x	G L:1,6,124,131
+Rv2653c	1652	x	G L:1,6,124,131,136
+Rv2654c	905	x	G L:1,5_7,10,15,16,18,33,42,47_49,51,61,67,71,72,80,82,83,85,90_92,96,97,100,112,116,122,124,125,131_137,146,153
+Rv2655c	3127	x	G L:1,16,48,124,131,134
+Rv2656c	4771	x	G L:1,124,131
+Rv2657c	2293	x	G L:1,124,131,132
+Rv2658c	3376	x	G L:0,1,110,124,131
+Rv2659c	4361	x	G L:1,85,124,129,131,162
+Rv2660c	762	x	G L:132
+Rv2662	9388	x	G L:7,142,143,147
+Rv2664	3266	x	G L:2
+Rv2666	103:1	x	G L:3,4,6,26,36,80,82,85,88,92,98,100,110,127,132_136,151_153,163,169_171
+Rv2667	1469	clpC2	G L:2,132
+Rv2668	1616:1	x	G L:123
+Rv2669	7695	trmD	G L:34
+Rv2673	1191	aftC	G L:129,137,138
+Rv2674	2926	msrB	G L:110,111,128
+Rv2675c	3650	x	G L:0,167
+Rv2677c	1755	hemY	G L:2,128
+Rv2678c	4802	hemE	G L:115,128,137
+Rv2679	1886	echA15	G L:1,2,18,132
+Rv2682c	1880	dxs1	G L:0,2,18,163
+Rv2683	4980	x	G L:1,3,4,147
+Rv2684	1612	arsA	G L:132,133
+Rv2686c	5452	x	G L:3,4,6,18,98
+Rv2687c	1331	x	G L:6
+Rv2688c	552	x	G L:2
+Rv2689c	848	x	G L:1,95_97,128,163
+Rv2690c	1545	x	G L:0,6_8,125
+Rv2691	630	ceoB	G L:1
+Rv2692	2230	ceoC	G L:83
+Rv2695	5172	x	G L:0,8,48
+Rv2696c	2916	x	G L:1,8
+Rv2697c	4259	dut	G L:1
+Rv2700	4649	x	G L:5,82,132_136
+Rv2701c	7996	suhB	G L:0,2
+Rv2702	2733	ppgK	G L:1,147
+Rv2703	2665	sigA	G L:115,129,163,167
+Rv2705c	1677	x	G L:163
+Rv2706c	5899	x	G L:1,91,94
+Rv2707	3590	x	G L:129
+Rv2709	278	x	G L:48
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+Rv2713	2604	sthA	G L:147,167
+Rv2714	4061	x	G L:111
+Rv2720	2496	lexA	G L:125
+Rv2721c	1150	x	G L:26,131_133,136,163
+Rv2723	1112	terC	G L:1
+Rv2724c	1624	fadE20	G L:0,1,88,115,125
+Rv2725c	39	hflX	G L:110
+Rv2726c	903	dapF	G L:3,4,6,98
+Rv2727c	3242	miaA	G L:132
+Rv2728c	5992	x	G L:0,2,128
+Rv2730	5881	x	G L:0,1
+Rv2731	1157	x	G L:2_4,8,128,132
+Rv2732c	4263	miaB	G L:128
+Rv2733c	1393:1	miaB	G L:2,5,10,15,84,87,96_98,153,163
+Rv2734	5010	x	G L:6,98
+Rv2735c	4698	x	G L:83
+Rv2737A	3346	x	G L:123,167
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+Rv2738c	2821	x	G L:2,100,123,167
+Rv2739c	2571	x	G L:2,18,26,47,112,132_134,136,167
+Rv2740	4362	x	G L:0,18,115
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+Rv2742c	26	x	G L:6,98,111,167
+Rv2743c	2996	x	G L:6,98
+Rv2744c	5099	35kd_ag	G L:2,6,98,125
+Rv2745c	1236	x	G L:6,98,125
+Rv2746c	5148	pgsA3	G L:3,4,6,98,128
+Rv2747	5104	argA	G L:6,8,98,147
+Rv2748c	1598	ftsK	G L:0,6,8,98,125,132,134,163
+Rv2749	7664	x	G L:2,98,153
+Rv2750	1097	x	G L:98
+Rv2751	1142	x	G L:98
+Rv2752c	2208	x	G L:98,132,134
+Rv2753c	3856	dapA	G L:98
+Rv2754c	1981	thyX	G L:98,128
+Rv2755c	4209	hsdS.1	G L:1,98
+Rv2756c	274	hsdM	G L:8,98,133
+Rv2757c	1058	vapC21	G L:1,90,98
+Rv2758c	5492	vapB21	G L:98
+Rv2759c	2671	x	G L:5,7,98
+Rv2760c	1462	x	G L:98
+Rv2761c	1906	hsdS	G L:0,98
+Rv2762c	5327	x	G L:2,18,89,98
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+Rv2764c	2549	thyA	G L:8,85,98,163
+Rv2765	4627	x	G L:98
+Rv2766c	108:1	fabG	G L:98
+Rv2767c	6264	x	G L:98,125
+Rv2768c	3973	PPE43	G L:0,2,26,98,123,132
+Rv2769c	1594	PE27	G L:98,132,134
+Rv2770c	661	PPE44	G L:2_4,98
+Rv2771c	4218	x	G L:98,125
+Rv2772c	6760	x	G L:2,98
+Rv2773c	4390	dapB	G L:98
+Rv2774c	4291	x	G L:3,4,6,98,132_134
+Rv2775	607	x	G L:19_24,42,43,62
+Rv2776c	2343	x	G L:2,111
+Rv2777c	869	x	G L:1,5_7,81,125_131
+Rv2778c	8858	x	G L:6
+Rv2780	4630	ald	G L:2
+Rv2781c	1673	x	G L:2
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+Rv2783c	2163	gpsI	G L:1,5,7,8
+Rv2785c	156	rpsO	G L:14,86_88,167
+Rv2787	3910	x	G L:8,167
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+Rv2789c	3730	fadE21	G L:0,22,138
+Rv2793c	1748	truB	G L:125,129,167
+Rv2794c	998	pptT	G L:2,125,167
+Rv2795c	1176	x	G L:8,125,129,167
+Rv2796c	6377	lppV	G L:111
+Rv2797c	2865	x	G L:3,4,17,87,98,111,123,125
+Rv2798c	7637	x	G L:0,167
+Rv2799	3814	x	G L:3,4,98,167
+Rv2802c	164	x	G L:0,2,89
+Rv2803	4302	x	G L:86,134
+Rv2804c	2303	x	G L:2,100
+Rv2805	3462	x	G L:1,2,127
+Rv2807	1826	x	G L:8,112_114
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+Rv2809	3478	x	G L:0,112_114
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+Rv2812	3716	x	G L:0,2,18,112_114
+Rv2813	4153	x	G L:112_114,162
+Rv2816c	6528	cas2	G L:0,86,90,138_172
+Rv2817c	3999	x	G L:86,90,138_147,149_172
+Rv2818c	3268	x	G L:83_90,95_97,117,135,136,138_147,149_172
+Rv2819c	2987	csm5	G L:138_147,149_172
+Rv2820c	951	x	G L:1,138_147,149_172
+Rv2821c	4888	x	G L:0,37_42,120,121
+Rv2823c	2925	x	G L:7,111
+Rv2826c	7422	x	G L:0,3,4,111,125
+Rv2827c	2169	x	G L:1,8,111
+Rv2828c	673:1	x	G L:135,152
+Rv2829c	1895	vapC22	G L:125,139_141,167
+Rv2831	711	echA16	G L:2,125
+Rv2832c	2509	ugpC	G L:17
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+Rv2834c	1716	ugpE	G L:17,123
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+Rv2837c	7744	x	G L:0,17
+Rv2838c	3629	rbfA	G L:128,145,167
+Rv2839c	1925	infB	G L:2,26,123,125,128
+Rv2842c	4394	x	G L:0
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+Rv2844	2033	x	G L:2,129
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+Rv2847c	2594	cysG	G L:2,115,125,128,137
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+Rv2849c	935	cobO	G L:2
+Rv2850c	1076	x	G L:125
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+Rv2854	1527	x	G L:0,1,3,4,6,92,98,125,128
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+Rv2857c	5075	x	G L:125
+Rv2858c	481	aldC	G L:2
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+Rv2862c	3759	x	G L:2,110,128
+Rv2864c	1217	x	G L:0,2
+Rv2865	4013	x	G L:1,128
+Rv2867c	2882	x	G L:0
+Rv2868c	5901	ispG	G L:2,132
+Rv2870c	1992	dxr	G L:2,145
+Rv2871	4549	x	G L:136
+Rv2874	1276	dipZ	G L:90
+Rv2876	3791	x	G L:18
+Rv2877c	1154	x	G L:0,110
+Rv2878c	3485	mpt53	G L:5
+Rv2879c	1709	rlmN	G L:6,26,132_134
+Rv2880c	191	x	L G:0,14_16,27,30,35,39_41,43_45,47,49,50,55,56,61,64,66,70,73_79,81,91_94,99_110,112,116,118,121,122,126,149
+Rv2882c	5981	frr	G L:151,152,169_171
+Rv2883c	1020	pyrH	G L:17,98,128,129
+Rv2884	4668	phoB	G L:98
+Rv2886c	6585	x	G L:129
+Rv2887	3357	x	G L:125
+Rv2888c	3051	amiC	G L:8,125
+Rv2889c	2324	tsf	G L:2
+Rv2890c	1000	rpsB	G L:8
+Rv2891	6632	x	G L:1,2,47,48,100,111,125,132,133
+Rv2892c	1434	PPE45	G L:0,18
+Rv2893	1986	x	G L:2,18,131,167
+Rv2894c	488	xerC	G L:8,18,47,48,110
+Rv2895c	1068	viuB	G L:2,100,111,128
+Rv2896c	1978	x	G L:163
+Rv2897c	2824	comM	G L:2,125
+Rv2898c	6116	x	G L:2,128
+Rv2899c	3947	fdhD	G L:8,17
+Rv2900c	2807	fdhF	G L:0
+Rv2901c	7182	x	G L:0
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+Rv2907c	5246	rimM	G L:18
+Rv2910c	1893	x	G L:8,17
+Rv2911	5965	dacB2	G L:132
+Rv2912c	166	x	G L:18
+Rv2913c	3762	x	G L:1,6,8
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+Rv2917	271	x	G L:132,136
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+Rv2919c	4178	glnB	G L:8,17,133
+Rv2920c	2179	amt	G L:2,18,92
+Rv2921c	1819	ftsY	G L:2_4,8,17,18,128,131,133,167
+Rv2922A	2322	acyP	G L:2,128
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+Rv2925c	2143	rnc	G L:128
+Rv2926c	86	x	G L:2,147
+Rv2927c	5613	x	G L:2,18
+Rv2928	2754	tesA	G L:62,147
+Rv2929	7192	x	G L:0,1,6,81,147
+Rv2930	2825	fadD26	G L:0,10,128,132_134
+Rv2931	436:2	ppsA	G L:0,98,105,129,147
+Rv2932	668	ppsB	G L:2,8,81,125
+Rv2933	1625	ppsC	G L:18,100,125
+Rv2934	56:1	ppsD	G L:0,2,167
+Rv2935	2946	ppsE	G L:0
+Rv2936	1787	drrA	G L:0,147
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+Rv2941	69	fadD28	G L:1,26,132_134
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+Rv2943	1213	x	G L:0_2,6,18,40
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+Rv2947c	3295:1	pks15	G L:2,5_7,26,123_129,131_140,142,143,145_147,149,151_163,165_172
+Rv2950c	377	fadD29	G L:139_145
+Rv2951c	445	x	G L:5,77
+Rv2952	1769	x	G L:6
+Rv2953	298	x	G L:126
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+Rv2955c	1260	x	G L:2
+Rv2956	3490	x	G L:18,145
+Rv2957	1927	x	G L:8
+Rv2958c	3829	x	G L:1,128,147
+Rv2959c	3463	x	G L:8
+Rv2961	6181	x	G L:2
+Rv2962c	4301	x	G L:0,2,6,130,131
+Rv2963	2244	x	G L:1,2,5_7,98,132,133
+Rv2964	4996	purU	G L:8
+Rv2965c	6777	coaD	G L:6
+Rv2967c	1491	pca	G L:0,2
+Rv2970c	2736	lipN	G L:0,2,111
+Rv2971	1861	dkgA	G L:1
+Rv2972c	608	x	G L:6
+Rv2973c	7719	recG	G L:0,18,128
+Rv2974c	3643	x	G L:110,163
+Rv2975c	4762	x	G L:0,1,5_7,81,110,123_129,131_148,150_172
+Rv2976c	1628	ung	G L:0,6_8
+Rv2978c	243	x	G L:127,132_134
+Rv2979c	431	x	G L:26,128
+Rv2980	4020	x	G L:2,18,83,87,100,145,170,171
+Rv2981c	3886	ddl	G L:132,138,151,169,171
+Rv2982c	2366	gpsA	G L:147
+Rv2983	2306	x	G L:47,48
+Rv2984	225	ppk	G L:0,2_4,98,111
+Rv2985	2688	mutT1	G L:8
+Rv2986c	2167	hupB	G L:132
+Rv2991	1849	x	G L:8,26,147
+Rv2992c	5425	gltX	G L:0,2,5,123,128,147
+Rv2994	4049	x	G L:1,3_7,81,98,111,125_131,152
+Rv2995c	2198	leuB	G L:2
+Rv2996c	1888	serA1	G L:1,163,167
+Rv2998	360	x	G L:128
+Rv3000	7480	x	G L:0,129
+Rv3001c	2047	ilvC	G L:0,8,125
+Rv3002c	9784	ilvH	G L:0,17
+Rv3003c	442	ilvB1	G L:2
+Rv3005c	1122	x	G L:17
+Rv3006	2811	lppZ	G L:123,125
+Rv3007c	681	x	G L:167
+Rv3009c	216	gatB	G L:0,8
+Rv3010c	5438	pfkA	G L:0,1,111
+Rv3011c	5524	gatA	G L:148
+Rv3013	245	x	G L:2
+Rv3014c	4479:1	ligA	G L:17,48
+Rv3015c	2632	x	G L:2,18,110,111,125,129
+Rv3016	3444	lpqA	G L:1,3,4,111,125,134
+Rv3017c	3360	esxQ	G L:5_7,17,22,110,111,125,127,128,131_134,137,145,147
+Rv3018A	3215	PE27A	G L:0,6,17,18,22,45,80,86,88,90_94,98,110,112,114_119,125,128,129,131_137,147,152,167,169_171
+Rv3018c	962	PPE46	G L:1,3,4,6_18,22,36,46,82_90,98,100,111,115,123,125,127_129,132_136,151_153,167,169_171
+Rv3019c	3132	esxR	G L:5_7,17,18,22,45,80,86,88,90_98,112_119,125,128,129,131_135,137,165_167,169_172
+Rv3020c	728	esxS	G L:2,6,17,18,22,45,80,86,88,90_94,98,112_119,125,128,129,131_135,137,145,167
+Rv3021c	10:1	PPE47	G L:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+Rv3022A	306	PE29	G L:3,4,6,17,18,22,36,83,85,87,89,98,111,125,127_129,131,132,135,147,151,152,162,167,169_171
+Rv3024c	3336	mnmA	G L:18,124,137
+Rv3025c	4765	iscS	G L:0,111,128
+Rv3026c	5601	plsC	G L:3,4,111
+Rv3027c	5150	x	G L:0,111,125
+Rv3029c	5599	fixA	G L:152
+Rv3031	2892	x	G L:0,3,4,48,115,125,167
+Rv3032	737	x	G L:0,3,4,125,132,152
+Rv3034c	1269	x	G L:110,111
+Rv3035	1887	x	G L:18,163
+Rv3037c	3837	x	G L:0,2
+Rv3039c	4959	echA17	G L:2,129
+Rv3040c	109	x	G L:8,26,163
+Rv3041c	3061	x	G L:6,100
+Rv3042c	4778	serB2	G L:0,110
+Rv3043c	793	ctaD	G L:3,4,100,163
+Rv3044	5212	fecB	G L:0,2
+Rv3045	255	adhC	G L:1,128
+Rv3047c	4045	x	G L:3,4
+Rv3049c	1913	x	G L:6,22,128
+Rv3050c	2350	x	G L:0
+Rv3051c	1760	nrdE	G L:128,169
+Rv3052c	5311	nrdI	G L:7
+Rv3054c	2348	x	G L:2,92,128
+Rv3056	4268	dinP	G L:1,92
+Rv3057c	587	x	G L:8
+Rv3058c	4682	x	G L:0,129
+Rv3059	1974	cyp136	G L:1,132
+Rv3060c	994	x	G L:2,132
+Rv3061c	2703	fadE22	G L:1,3,4,6_8,98,111
+Rv3062	3696	ligB	G L:0
+Rv3063	474	cstA	G L:2,8,26
+Rv3065	2920	mmr	G L:0
+Rv3066	5624	x	G L:6,111
+Rv3067	1619	x	G L:3,4,6,90,98,111
+Rv3068c	6614	pgmA	G L:2,6,7,125
+Rv3070	5436	ccrB	G L:128
+Rv3071	8488	x	G L:0,2,167
+Rv3072c	486	x	G L:0,111
+Rv3073c	2209	x	G L:0
+Rv3074	2936	x	G L:0_2,8,18,111,128,131,137,153
+Rv3077	4606	x	G L:2,18
+Rv3078	4755	hab	G L:6,7
+Rv3079c	1421	x	G L:1,5_7,81,125_131,170
+Rv3080c	1085	pknK	G L:2,5,7,18,152
+Rv3083	1774	x	G L:0,8
+Rv3084	1425	lipR	G L:2,111
+Rv3085	3131	x	G L:46
+Rv3086	7465	adhD	G L:46
+Rv3087	2695	x	G L:2,163
+Rv3088	1767	x	G L:2,110,125
+Rv3089	3929	fadD13	G L:2,167
+Rv3090	1936	x	G L:128
+Rv3091	236	x	G L:0
+Rv3092c	4707	x	G L:2,34,163
+Rv3093c	3536	x	G L:95,100,123
+Rv3094c	2438	x	G L:0,2,18,85,86,89,100,128,148
+Rv3095	3850	x	G L:8,129
+Rv3096	2642	x	G L:0,163
+Rv3097c	416	lipY	G L:1,8,18,152
+Rv3099c	3129	x	G L:2,17
+Rv3101c	6155	ftsX	G L:0,125
+Rv3102c	339	ftsE	G L:1
+Rv3103c	3348	x	G L:110
+Rv3104c	660	mscS	G L:166
+Rv3105c	2272	prfB	G L:0,1,5,81
+Rv3107c	4226	agpS	G L:8
+Rv3108	8126	x	G L:132_134
+Rv3109	1110	moaA1	G L:0
+Rv3111	5062	moaC	G L:0,123
+Rv3114	2995	x	G L:6
+Rv3116	1581	moeB2	G L:0,6,98,169_171
+Rv3117	2433	cysA3	G L:5_7,36,98,152,153
+Rv3119	1578	moaE1	G L:6,151
+Rv3120	2553	x	G L:6,151
+Rv3121	1950	cyp141	G L:135,147,151,153
+Rv3122	700	x	G L:0,8,151
+Rv3123	4704	x	G L:151
+Rv3124	5189	x	G L:151
+Rv3125c	1567	PPE49	G L:0,83,112_114,132,151
+Rv3126c	5256	x	G L:132
+Rv3127	2905	x	G L:0
+Rv3129	3552	x	G L:1,5_7,81,125,127_131
+Rv3130c	376	tgs1	G L:0,1,152
+Rv3131	4277	x	G L:0,3,4,111,125
+Rv3132c	2768	devS	G L:0
+Rv3134c	238	x	G L:17
+Rv3135	1590	PPE50	G L:3_7,9_13,111_119,123_129,131_147,149,151_172
+Rv3136	778	PPE51	G L:111,147
+Rv3139	1261	fadE24	G L:0,8
+Rv3140	418	fadE23	G L:0,1,125
+Rv3142c	2977	x	G L:2,132_134
+Rv3143	5890	x	G L:22
+Rv3144c	1299	PPE52	G L:0,1,18,22,26,89,111,125,145
+Rv3146	4633	nuoB	G L:125
+Rv3147	1272	nuoC	G L:111
+Rv3148	1634	nuoD	G L:1,5,6
+Rv3149	8833	nuoE	G L:2,85
+Rv3150	957	nuoF	G L:17,126,147
+Rv3151	3332	nuoG	G L:0,132_134,136
+Rv3152	1675	nuoH	G L:0,167
+Rv3154	3516	nuoJ	G L:1,15,110,111,128
+Rv3155	9441	nuoK	G L:145
+Rv3156	2250	nuoL	G L:0,145
+Rv3157	2871	nuoM	G L:111,128,132
+Rv3158	3767	nuoN	G L:6
+Rv3159c	924	PPE53	G L:26,145,167
+Rv3160c	2539	rutR	G L:0,8
+Rv3161c	1790	x	G L:167
+Rv3162c	5976	x	G L:0,111
+Rv3163c	6514	x	G L:0,111
+Rv3164c	3090	moxR3	G L:8
+Rv3166c	1777	x	G L:8
+Rv3167c	3671	x	G L:2,111
+Rv3168	702	x	G L:0,1,26,111,129
+Rv3169	510	x	G L:0,2_5,7,82,86,98,132,134
+Rv3170	4044	aofH	G L:1,2,5_7,86,110,125,127_129,131
+Rv3171c	3022	hpx	G L:111,128
+Rv3172c	6595	x	G L:111
+Rv3173c	2615	rutR	G L:18
+Rv3175	6195	x	G L:1,22,128,131
+Rv3176c	526	mesT	G L:2,7
+Rv3177	4721	x	G L:1,45,133,147
+Rv3178	4423	x	G L:102
+Rv3179	4527	x	G L:2,147
+Rv3180c	8978	x	G L:0,18,112,125,132
+Rv3181c	3056	x	G L:112
+Rv3182	5098	x	G L:26,51,112
+Rv3183	6476	x	G L:2,28,51,69,95_97,112,118
+Rv3188	2445	x	G L:0
+Rv3191c	2716	x	G L:1,5,125
+Rv3192	5792	x	G L:14,16,90,100
+Rv3193c	2321	x	G L:1,5_7,162
+Rv3194c	3097	x	G L:0,22
+Rv3195	2401	x	G L:1,6,7,125,137
+Rv3196A	301	x	G L:128
+Rv3197	2789	x	G L:0,5_7,98,147
+Rv3198c	1862	uvrD2	G L:0,2,18,131
+Rv3199c	353	nudC	G L:128
+Rv3200c	4096	x	G L:5,7,81
+Rv3201c	62	x	G L:0_2,5,111
+Rv3202c	3017	x	G L:1,2,5,7,18,125,134
+Rv3203	2722	lipV	G L:7,163
+Rv3205c	3239	x	G L:163
+Rv3206c	1710	moeB1	G L:1,5,8,18,111
+Rv3207c	972	x	G L:147
+Rv3208	320	x	G L:125
+Rv3208A	4441	TB9.4	G L:0,125
+Rv3210c	55	x	G L:5
+Rv3211	931	rhlE	G L:1,5,18,48,116,125,128,163
+Rv3212	2104	x	G L:5,7,128
+Rv3213c	854	x	G L:7
+Rv3215	755	entC	G L:7
+Rv3216	5214	x	G L:8,128
+Rv3217c	3080:1	x	G L:6,9
+Rv3218	2094	x	G L:2,5,7,128
+Rv3219	6125	whiB1	G L:132
+Rv3220c	1087	x	G L:6,7,92,133,147,163
+Rv3221A	5330	rshA	G L:147
+Rv3222c	4235	x	G L:125,132
+Rv3223c	456	sigH	G L:5,7
+Rv3224	943	atuG	G L:8,162,163
+Rv3225c	358	x	G L:0,5,7,100,110
+Rv3226c	5936	x	G L:0,2,8,81,133,148
+Rv3227	1609	aroA	G L:0,2,5_7,18,47,48,115,131,163
+Rv3228	3491	x	G L:1,5,7
+Rv3229c	2409	x	G L:1,5,22
+Rv3230c	7112	x	G L:135,137
+Rv3232c	1542	pvdS	G L:5
+Rv3233c	3542	x	G L:8,134
+Rv3234c	2023	x	G L:2,5,123,124,130,132_172
+Rv3236c	593	x	G L:0,18,148
+Rv3238c	4203	x	G L:5
+Rv3239c	5303	x	G L:2,5,7,125,134,163
+Rv3240c	3289	secA1	G L:0,2,5,7,8,17,18,97,115,131,145,148,162
+Rv3241c	2876	x	G L:125
+Rv3242c	3318	x	G L:2,7,22
+Rv3243c	2726	x	G L:5,7,125,128,132
+Rv3244c	5225:1	lpqB	G L:0,167
+Rv3245c	1413	mtrB	G L:1,2
+Rv3246c	2813	mtrA	G L:5,7,87,100
+Rv3247c	6182	tmk	G L:0,8
+Rv3248c	284	sahH	G L:2,5,7,8,163
+Rv3249c	38	x	G L:137
+Rv3250c	57	rubB	G L:125
+Rv3251c	6385	rubA	G L:125
+Rv3253c	3495	x	G L:5,7,8
+Rv3254	1550	x	G L:6,7,167
+Rv3255c	5421	manA	G L:7,115
+Rv3256c	4553	x	G L:6,14
+Rv3257c	1580	manB	G L:6,7,18
+Rv3258c	1455	x	G L:47
+Rv3259	3592	x	G L:5,7
+Rv3260c	760	whiB2	G L:167
+Rv3261	1809	fbiA	G L:5,7,8,22
+Rv3262	809	fbiB	G L:0,2,5,7,8,111
+Rv3263	825	x	G L:7,8
+Rv3265c	2617	wbbL1	G L:2,5,6,81,86,148
+Rv3267	940	x	G L:0,2,166
+Rv3268	908	x	G L:2
+Rv3270	204	ctpC	G L:0_2,7,18,110,125
+Rv3271c	3683	x	G L:2
+Rv3272	3108	yfdE	G L:5
+Rv3273	1411	x	G L:18
+Rv3274c	8643	fadE25	G L:0,18,132,170
+Rv3275c	258	purE	G L:2,18
+Rv3276c	9	purK	G L:0,2,18,132_134
+Rv3278c	8262	x	G L:1
+Rv3279c	2121	birA	G L:83
+Rv3280	3651	accD5	G L:5,7
+Rv3281	1646	accE5	G L:5,163
+Rv3283	2887	sseA	G L:7,8,163
+Rv3284	380	sufE	G L:2,128,136
+Rv3286c	3558	sigF	G L:0,36
+Rv3287c	6794	rsbW	G L:0
+Rv3289c	4583	x	G L:15
+Rv3290c	2134	lat	G L:1,163,167
+Rv3291c	3662	lrp	G L:8
+Rv3292	2756	x	G L:8
+Rv3293	1875	pcd	G L:7
+Rv3294c	1262	x	G L:167
+Rv3295	8559	x	G L:5,167
+Rv3296	13:1	lhr	G L:2,5,7,8,18,125
+Rv3297	1555	nei	G L:5,7,115,131
+Rv3298c	1724	lpqC	G L:0,125,128
+Rv3299c	3583	atsB	G L:0,1,5_8,10,46,111,128
+Rv3301c	4432	phoY1	G L:7
+Rv3302c	1512	glpD2	G L:5,7
+Rv3303c	2191:1	lpdA	G L:1
+Rv3304	5025	x	G L:1
+Rv3305c	6680	amiA1	G L:1,2,5,128
+Rv3306c	4293	amiB1	G L:2,5,81,147,148,167
+Rv3307	1983	deoD	G L:2,5,81,100
+Rv3308	3227	pmmB	G L:1,2,5,7,163,167
+Rv3310	1178	sapM	G L:6
+Rv3311	5729	x	G L:1,8,125
+Rv3312c	4444	x	G L:1,2,5,8
+Rv3315c	3573	cdd	G L:2,26
+Rv3316	6497	sdhC	G L:8
+Rv3318	2893	sdhA	G L:0,5,7,8,167
+Rv3319	1253	sdhB	G L:125,167,170
+Rv3320c	6634	x	G L:7,145
+Rv3321c	5607	x	G L:74
+Rv3322c	7149	x	G L:2,7
+Rv3323c	2485	moaX	G L:8,117,125,154_161
+Rv3324c	7099	moaC	G L:22,45,117
+Rv3327	513	x	G L:11,19_24,42,62,68,151
+Rv3328c	6154	sigJ	G L:11,19_24,42,62,68,151
+Rv3329	2256	x	G L:151,167
+Rv3330	656	dacB1	G L:0,2,151
+Rv3331	4156	sugI	G L:1,80,115,151
+Rv3332	5636	nagA	G L:3,4,18,111,151,163
+Rv3333c	3775	x	G L:3,4,132,151
+Rv3334	2469	zntR	G L:151
+Rv3335c	1556	x	G L:0,151
+Rv3336c	5124	trpS	G L:0,151
+Rv3337	3719	x	G L:1,5_7,123_125,127_131,151
+Rv3338	824	x	G L:151
+Rv3339c	862	icd1	G L:1,137,147,151
+Rv3340	2752	metC	G L:0,1,8,151
+Rv3341	2165	metX	G L:151,163
+Rv3342	6913	x	G L:8,74,110,145,151,163
+Rv3343c	813	PPE54	G L:19_21,23_25,42,46,48,52,58,62,68,95,96,101,117,119,132_134,139_145,151,162,164,165,168,172
+Rv3345c	5621	PE_PGRS50	L G:0,28,81,93,94,99,101,103_109,114,130,139,141_144,154_158,160,161,166
+Rv3346c	5287	x	G L:6,8,17,18,26,34,36,74,124,127,132_134
+Rv3347c	58	PPE55	G L:0,5,8,17,18,26,34_36,74,127,132_134,163
+Rv3349c	28	x	G L:3,4,6,8,17,18,34_36,74,80,82,92,98,127,132_136,151_153,163,167,169_171
+Rv3350c	654	PPE56	G L:3_6,8,17,18,26,34_36,74,92,127,132_134,167
+Rv3351c	655	x	G L:8,17,18,34_36,74
+Rv3352c	6452	x	G L:8,17,18,34_36
+Rv3353c	421	x	G L:8,17,18,34_36
+Rv3354	3757	x	G L:0,17,18,34_36
+Rv3355c	6276	x	G L:0,35,132_134
+Rv3356c	3196	folD	G L:2,132
+Rv3359	2440	x	G L:0,2,8,18
+Rv3360	4787	x	G L:2,132_134
+Rv3361c	3896	x	G L:0,170
+Rv3362c	4401	x	G L:170
+Rv3363c	2162	x	G L:0
+Rv3365c	2664	x	G L:8,82,95,129,132_136,167
+Rv3366	93	spoU	G L:22
+Rv3367	2833	PE_PGRS51	G L:47,48,95,111,115,116,129
+Rv3368c	283	x	G L:163
+Rv3369	1782	x	G L:2,124,125
+Rv3370c	3922:1	dnaE2	G L:100,110,125
+Rv3371	4025	x	G L:115
+Rv3373	4790	echA18	G L:1,2,5_7,18,123_129,131,163
+Rv3374	27	echA18.1	G L:0,1,5_7,123_129,131,163
+Rv3375	2026	amiD	G L:3,4,98
+Rv3376	5563	x	G L:0,22
+Rv3377c	3166	x	G L:0,17
+Rv3379c	3652	dxs2	G L:0,3_5,22,145
+Rv3382c	1997	lytB1	G L:18,82,129,139_145
+Rv3383c	497	idsB	G L:17,146,147,149_163,165_172
+Rv3386	3504	x	G L:3,4,6,74,100
+Rv3387	4255	x	G L:0,1,3,4,6,134,167
+Rv3388	2195:1	PE_PGRS52	G L:5_7,22,26,42,47,48,71,80,88,89,97,100,101,110_112,115,116,122_125,127,129,131,135,138,145,146,153
+Rv3389c	5063	htdY	G L:101,125,133,145
+Rv3390	964	lpqD	G L:133
+Rv3391	1941	acrA1	G L:2,129,133
+Rv3392c	2670	cmaA1	G L:133
+Rv3393	3632	iunH	G L:2,147,164
+Rv3394c	2408	x	G L:1,83,110,125
+Rv3395A	369	x	G L:18,128
+Rv3395c	1090	x	G L:0_2,8,15,95,100,145
+Rv3396c	83	guaA	G L:2,6,115
+Rv3397c	2140	phyA	G L:100
+Rv3399	1287	x	G L:0,5,22,123,125
+Rv3400	6666	x	G L:81
+Rv3401	7275	x	G L:0,2,8,17,18,98,115,135,138,167
+Rv3403c	1813	x	G L:2,18
+Rv3405c	9196	x	G L:0
+Rv3406	5310	x	G L:2,125
+Rv3407	1921	vapB47	G L:6
+Rv3409c	7281	choD	G L:0,1,100
+Rv3411c	1037	guaB2	G L:0,2,81,111,128,148
+Rv3412	4413	x	G L:1
+Rv3413c	458	x	G L:0,17,18,115,123,124,128,129,138,145,162
+Rv3414c	2152	sigD	G L:0,128
+Rv3415c	2046	x	G L:0,2,128
+Rv3416	1771	whiB3	G L:123,163
+Rv3417c	1633	groEL	G L:8,128
+Rv3418c	3098	groES	G L:17,128
+Rv3420c	3264	rimI	G L:98,163
+Rv3421c	210	x	G L:163
+Rv3423c	6511	alr	G L:1,6,17
+Rv3426	3631	PPE58	L G:0,2,8,14_16,39,69,74,99_110,112,126,148
+Rv3427c	1103	x	G L:1,2,9_13,17_24,36,42_68,70_73,75_79,83_90,95_98,111,115,116,118
+Rv3428c	3003	x	L G:0_2,14_16,37,69,74,99_110,112,126,128,138,146_150,154_162,164_168,172
+Rv3429	36	PPE59	G L:6,127,132_134
+Rv3430c	2313	x	G L:0,8,18,26,125,132_134,137
+Rv3431c	354	x	G L:49,50,60,61,63,64
+Rv3432c	3998	gadB	G L:0
+Rv3433c	558:1	x	G L:5,7,15,26,47,48,86,90,92,96,97,100,110,123,125,132,138,146,153,162,163
+Rv3434c	3813	x	G L:17,152,162,163
+Rv3435c	1316	x	G L:1,163
+Rv3436c	444	glmS	G L:128
+Rv3437	4035	x	G L:132,163
+Rv3438	5663	x	G L:1,2,8,92,110,125,163
+Rv3439c	2361	x	G L:0,2,8,18,22,92,97,110,115,137
+Rv3440c	5481	x	G L:2_4,18,98,128
+Rv3441c	2565	glmM	G L:0,2,15,48,100,125
+Rv3442c	2501	rpsI	G L:163
+Rv3443c	184	rplM	G L:0,164
+Rv3446c	173	x	G L:2,171
+Rv3447c	262	eccC4	G L:1,8,98,132
+Rv3448	2735	eccD4	G L:0,2,15,115
+Rv3450c	3728	x	G L:3,4,6,26,152
+Rv3453	6572	x	G L:0_7,9_13,81,111,113_119,123_125,127_172
+Rv3454	831	x	G L:8
+Rv3455c	3244	truA	G L:0,1,110,147
+Rv3456c	5144	rplQ	G L:18
+Rv3457c	1008	rpoA	G L:17,18,115,128
+Rv3458c	423	rpsD	G L:3,4,6,98,147
+Rv3459c	888	rpsK	G L:3,4,6,98,147
+Rv3460c	6215	rpsM	G L:3,4,6,98,166,167
+Rv3462c	3529	infA	G L:1,3,4,6,18,98
+Rv3463	1704	x	G L:3,4,6,17,18,98,131
+Rv3464	6306	rmlB	G L:3,4,6,98
+Rv3465	6547	rmlC	G L:3,4,6,98
+Rv3466	149	x	G L:3_7,14_16,36,80,82,85,92,98,100,132_134,136,151_153,163,169_171
+Rv3467	1134	x	G L:36,80,82,92,98,127,132_136,138,151_153,169_171
+Rv3468c	1343	x	G L:3,4,6,7,110,115,137
+Rv3469c	3782	mhpE	G L:1,6
+Rv3470c	2380:1	ilvB2	G L:0_2,5,6,8,124,125
+Rv3471c	144:1	x	G L:0,6,8,125
+Rv3472	811	x	G L:6
+Rv3473c	2894	bpoA	G L:6
+Rv3476c	1424	kgtP	G L:6,110,128
+Rv3477	9099	PE31	G L:6,125
+Rv3479	1681	x	G L:0,3,4,81,128,145
+Rv3480c	601	x	G L:2,6
+Rv3481c	537	x	G L:2,132
+Rv3482c	3620	x	G L:6,126,169
+Rv3484	4445	cpsA	G L:167
+Rv3486	1342	x	G L:98
+Rv3487c	2168	lipF	G L:8,98
+Rv3489	8656	x	G L:0,78,79
+Rv3490	447:1	otsA	G L:2,111,147
+Rv3491	5184	x	G L:111,129
+Rv3493c	2061	x	G L:145
+Rv3494c	4486	mce4F	G L:80,89,92,97,163
+Rv3495c	318	lprN	G L:1,6
+Rv3496c	1341:1	mce4D	G L:2,8,89,110,134
+Rv3497c	4667	mce4C	G L:3,4
+Rv3498c	3990	mce4B	G L:1,6,110
+Rv3499c	1870	mce4A	G L:0
+Rv3500c	4879	yrbE4B	G L:0,1,110
+Rv3501c	2643	yrbE4A	G L:153
+Rv3502c	2478	fabG	G L:2,111,125
+Rv3504	1682	fadE26	G L:0,6,14
+Rv3505	3877	fadE27	G L:0,2_4,8,98,110,115,125,129
+Rv3506	3810	fadD17	G L:74,110,111,119,128,129,166
+Rv3507	5763	PE_PGRS53	L G:0,9,20,23,25,46,77_79,81,99,101,103_109,119,130,139,141_144,148,154_158,160,161,166
+Rv3508	2276	PE_PGRS54	L G:20,23,25,28,30,37,46,69,70,74,77,81,94,99,101,103_109,119,120,130,139,141_144,148,150,154_158,160,161,164,166
+Rv3509c	3969	ilvX	G L:5_7,9,15,16,18,22,86,88,89,111,125,128,129,137,145,148,167
+Rv3510c	3879	x	G L:125,128,129
+Rv3511	517:1	PE_PGRS55	L G:0_2,8,12,27,29,32,35,37_39,41,43_45,53,54,56,58_60,65_67,69,70,73,75,77_79,81,94,99,101_109,113,114,117,118,120,121,130,139,141_144,148_150,154_158,160,161,166,172
+Rv3512	689:1	PE_PGRS	G L:0,3_7,10,13,15_19,25,26,33,35,42,47_50,52,61,63,71,72,80_82,84_89,91,92,95_97,100,110,112,115_119,122,124_129,131_136,138,140,146,151,153,159,162,167,169_171
+Rv3513c	408	fadD18	G L:3,4,6,7,80,82,92,98,110,111,115,117,123,125,127_129,132_136,138,151_153,163,167,169_171
+Rv3514	1209	PE_PGRS57	L G:0_2,8,9,11,12,25,27,28,30,34,37,52,54,56,68,69,73,74,77_79,81,99,101,103_109,113,114,119,128,130,139,141_144,148,152,154_158,160,161,164_166,168,170_172
+Rv3515c	1273	fadD19	G L:1,5,7,10,15,26,36,80,84_86,88_90,93,127,132_136,151_153,163,169_171
+Rv3516	3461	echA19	G L:6,132_134,167
+Rv3517	389:1	x	G L:0,6,111,129,132_134
+Rv3519	3935	x	G L:9,10,167
+Rv3520c	695	x	G L:6
+Rv3523	223	ltp3	G L:2,8
+Rv3524	1427	x	G L:80
+Rv3526	3298	x	G L:1
+Rv3528c	374	x	G L:147
+Rv3530c	3345	x	G L:1,8
+Rv3531c	4791	x	G L:0,3,4
+Rv3532	3084	PPE61	G L:123
+Rv3533c	1289	PPE62	G L:0,1,26,85,123
+Rv3534c	6171	hsaF	G L:1,2,5,7,81,128
+Rv3535c	4043	mhpF	G L:163
+Rv3536c	1148	mhpD	G L:2,18,167
+Rv3537	1337	kstD	G L:1,18,132
+Rv3538	3083	x	G L:0,1,17,81,167
+Rv3539	6709	PPE63	G L:1,10,14_17,83,85,86,88_90,100,163,167
+Rv3540c	111	ltp2	G L:0,7
+Rv3541c	1686	x	G L:5,7
+Rv3542c	4046	x	G L:0
+Rv3543c	3431	fadE29	G L:1,110,125
+Rv3544c	5348	fadE28	G L:1,8
+Rv3545c	4186	cyp125	G L:0,8,137
+Rv3546	1579	fadA5	G L:128
+Rv3547	7322	ddn	G L:0,163
+Rv3548c	7679	x	G L:0,2
+Rv3549c	3394	x	G L:111
+Rv3550	1330	echA20	G L:2,128
+Rv3551	3898	x	G L:0,1,8
+Rv3552	5868	x	G L:0,8
+Rv3553	3356	x	G L:0,123
+Rv3554	1784	fdxB	G L:5,7
+Rv3556c	821	fadA6	G L:0,110,137
+Rv3557c	4844	x	G L:0
+Rv3558	1183:1	PPE64	G L:0,9,80,98,124,129,145,152
+Rv3559c	861	fabG	G L:125
+Rv3560c	6376	fadE30	G L:2_4,6,128,166
+Rv3561	5095	fadD3	G L:2,110
+Rv3562	4122	fadE31	G L:0,2
+Rv3563	2482	fadE32	G L:0_2,100,125,163
+Rv3564	1101	fadE33	G L:0,125
+Rv3565	3403	aspB	G L:0,128,131
+Rv3567c	6292	hsaB	G L:0,110
+Rv3568c	2988	bphC	G L:129,133,136
+Rv3570c	2819	x	G L:3,4,7,125
+Rv3571	1189	hmp	G L:6
+Rv3572	3034	x	G L:18
+Rv3573c	59	fadE34	G L:2
+Rv3575c	1701	x	G L:0,2
+Rv3576	3563	lppH	G L:95_97
+Rv3577	1346	x	G L:0
+Rv3578	259	arsB2	G L:2,125
+Rv3579c	5058	yjfH	G L:3,4,6,89,98,110,115,132_135
+Rv3580c	1685	cysS	G L:3,4,6,98,162,163,167
+Rv3581c	2902	ispF	G L:3,4,6,98
+Rv3582c	4733	ispD	G L:0,3,4,6,8,98
+Rv3583c	5464	x	G L:3,4,6,98
+Rv3584	3314	lpqE	G L:0,3,4,6,18,98,152
+Rv3585	177	radA	G L:0_4,6,98,110
+Rv3586	2311	x	G L:3,4,6,98,137
+Rv3587c	1361	x	G L:3,4,6,18,98
+Rv3588c	7563	cynT	G L:3,4,6,98,133
+Rv3589	960	mutY	G L:3,4,6,97,98,110,129,138
+Rv3590c	2135:1	PE_PGRS58	G L:3_6,15,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,112,116,125,137,138,145,146,167
+Rv3591c	650	x	G L:1,129
+Rv3592	5870	TB11.2	G L:0,2,129
+Rv3593	756	lpqF	G L:0,111
+Rv3594	3260	x	G L:22,80,87,110,111,115,128,131,137
+Rv3595c	1196	PE_PGRS59	G L:2_7,10,13_17,19,21,22,26,29,31,33,34,40,42,47_51,59_65,71,72,76,80,83_92,95_98,100,111,112,116,118,122,123,125_129,131,132,135,137,138,140,145,146,153,159,163
+Rv3596c	1145	clpC1	G L:0,17,111,128,131_134,167
+Rv3597c	6971	lsr2	G L:22,111,125,128,134
+Rv3598c	532	lysS	G L:0,1,17,18,111,125,129,167
+Rv3601c	401	panD	G L:129,166
+Rv3602c	51	panC	G L:111,153
+Rv3603c	4068	x	G L:9,92,115
+Rv3605c	2550	x	G L:132,133
+Rv3607c	4917	folB	G L:163
+Rv3608c	5841	folP1	G L:0,125,137,167
+Rv3609c	21	folE	G L:6
+Rv3610c	2806	ftsH	G L:0,2,110,163
+Rv3612c	9957	x	G L:6,36,80,127,132_134,136,138,151,152,162,169_171
+Rv3613c	10047	x	G L:116
+Rv3615c	2548	espC	G L:125
+Rv3616c	6910	espA	G L:0,2,81,129,147
+Rv3617	1310	ephA	G L:0,2,5_8,18,124,128,129,134,152
+Rv3618	5417	x	G L:0,124
+Rv3621c	2644	PPE65	G L:124
+Rv3622c	6482	PE32	G L:124
+Rv3623	3622	lpqG	G L:115
+Rv3624c	1167	hpt	G L:1
+Rv3625c	3627	mesJ	G L:2,48,100
+Rv3626c	6038	x	G L:0_2,89,129
+Rv3627c	4199	x	G L:0,7
+Rv3630	5384	x	G L:0,132,134,163
+Rv3631	3939	x	G L:110,147
+Rv3632	7098	x	G L:1
+Rv3633	2292	x	G L:0,1
+Rv3634c	4971	galE1	G L:8,134
+Rv3635	1323:1	x	G L:2
+Rv3637	796	x	G L:0,5,7,17,125_129,131
+Rv3639c	7090	x	G L:2_4,37,38,53,56,58_60,63,66,69_71,73_76,120,121,127,132_134
+Rv3640c	3598	x	G L:17,100,145
+Rv3641c	267	fic	G L:8
+Rv3644c	2599	holB	G L:1,111,167
+Rv3645	1338	x	G L:125,147
+Rv3646c	2369	topA	G L:0,8,166
+Rv3647c	2909	x	G L:1,128
+Rv3648c	1010	cspA	G L:8,131,164
+Rv3649	257	x	G L:0,125,129
+Rv3650	6741	PE33	G L:123,132
+Rv3651	3274	x	G L:5_7,125_129,131,132
+Rv3653	1829	PE_PGRS61	G L:5_7,10,12,13,15_17,22,33_35,40,42_45,47_49,51,59,61,65,68,71,80,84_92,95_97,100,110_112,115,116,122_125,127_129,131_135,137,138,140,145,146,149,153,159,167
+Rv3654c	5535	x	G L:17,18,22,47,115,123,125,128,145,167
+Rv3655c	2528	x	G L:110,115,125,132,147,167
+Rv3656c	669	x	G L:167
+Rv3658c	1279	x	G L:2
+Rv3659c	3562:1	x	G L:115,163,167
+Rv3660c	2832	x	G L:2
+Rv3661	7187	x	G L:131
+Rv3662c	182	x	G L:1,2,81
+Rv3663c	2159	dppD	G L:2,100,128
+Rv3664c	2680	dppC	G L:3,4,128
+Rv3665c	3670	dppB	G L:0,128
+Rv3666c	189	dppA	G L:1,8
+Rv3667	3742	acs	G L:0,1,3_5,7,83,129
+Rv3668c	5515	x	G L:15,129
+Rv3669	1326	x	G L:0,8
+Rv3670	3860	ephE	G L:2,167
+Rv3673c	2454	x	G L:1
+Rv3674c	466	nth	G L:167
+Rv3677c	5434	x	G L:95_97
+Rv3678A	6928	x	G L:0,5,7,37_42,92,120,121,125_129
+Rv3678c	2721	x	G L:132
+Rv3680	280	x	G L:132,133,151,152,169_171
+Rv3681c	5385	whiB4	G L:18,131
+Rv3682	3594	ponA2	G L:0,1,5,152
+Rv3683	1741	x	G L:0,1,128,163
+Rv3686c	819	x	G L:125
+Rv3687c	3603	rsfB	G L:136
+Rv3689	498	x	G L:0,1
+Rv3690	5084	x	G L:1,136
+Rv3691	2674	x	G L:0,1,8
+Rv3692	3479	moxR2	G L:8
+Rv3694c	4155	x	G L:0,7
+Rv3695	450	x	G L:0,128,167
+Rv3698	3169	x	G L:1,80
+Rv3699	3404	x	G L:0,125,128
+Rv3700c	329	x	G L:2,170
+Rv3701c	2200	x	G L:0,2,125
+Rv3702c	649	x	G L:3,4,17
+Rv3703c	810	x	G L:2,128,145,167
+Rv3704c	1406	gshA	G L:5_7,125
+Rv3705A	3092	x	G L:81,163
+Rv3705c	2717	x	G L:18
+Rv3706c	4909	x	G L:0
+Rv3708c	5092	asd	G L:2,131,163
+Rv3709c	1214	ask	G L:125
+Rv3710	3237	leuA	G L:5_8,98,111,127_129
+Rv3711c	3727	dnaQ	G L:0,2,8,128,129,134
+Rv3712	326	x	G L:137
+Rv3714c	128	x	G L:3_6,163
+Rv3717	1559	x	G L:0,18,133
+Rv3720	333	cfa-2	G L:0
+Rv3721c	738	dnaZX	G L:18,125,128
+Rv3722c	828	x	G L:5_7,22
+Rv3723	3895	x	G L:2
+Rv3724A	4754	cut5a	G L:0,1,5_7,81,123_125,127_131,147
+Rv3724B	5027	cut5b	G L:1,5_7,81,123_125,127_131
+Rv3725	1480	x	G L:0,1
+Rv3726	3101	x	G L:3_5,111
+Rv3727	2951	x	G L:0,1,123
+Rv3729	2855	x	G L:2,100,128,132,163,167
+Rv3730c	4852	x	G L:3,4,90,93,94,98
+Rv3731	1457	ligC	G L:0,1
+Rv3732	4163	x	G L:0
+Rv3733c	6475	x	G L:0
+Rv3734c	5412	x	G L:0,1,8,129
+Rv3735	6089	x	G L:8
+Rv3736	3362	x	G L:0
+Rv3737	2637	x	G L:0,2,6,18,137,162
+Rv3738c	1179	PPE66	G L:6,132_135,137
+Rv3739c	714	PPE67	G L:1,5_7,81,123,125_134
+Rv3740c	1536	x	G L:0,8,111
+Rv3743c	5972	ctpJ	G L:2
+Rv3746c	4154	PE34	G L:6
+Rv3748	5312	x	G L:1,8
+Rv3750c	4523	x	G L:147
+Rv3752c	6285	x	G L:131,148
+Rv3753c	239	x	G L:152
+Rv3754	4781	tyrA	G L:0,2,6,26,132,133,171
+Rv3755c	6253	x	G L:7
+Rv3756c	6079	proZ	G L:0,8
+Rv3758c	4531	proV	G L:8
+Rv3759c	46	proX	G L:0,134
+Rv3761c	2510	fadE36	G L:0,1
+Rv3762c	742	x	G L:0,1
+Rv3763	2298	lpqH	G L:128
+Rv3764c	749	tcrY	G L:0,2,8
+Rv3765c	2512	tcrX	G L:5
+Rv3766	1063	x	G L:27,29_33,43,128
+Rv3767c	1703	x	G L:27,29_33
+Rv3768	4937	x	G L:27,29_33
+Rv3769	3433	x	G L:27,29_33,128
+Rv3770A	8831	x	G L:27,29_33
+Rv3770B	4485	x	G L:27,29_33
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+Rv3827c	5190	x	G L:132_134
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+Rv3829c	50	x	G L:1,17
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+Rv3833	2246	x	G L:6,132,133
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+Rv3837c	3327	x	G L:0
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+Rv3856c	3836	ycdX	G L:0,125
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+Rv3862c	4929	whiB6	G L:18,124,150
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+x	2848:2	x	L G:137
+x	2974:2	x	L G:137
+x	3073:3	x	L G:126
+x	3080:3	x	L G:110
+x	3288:2	x	L G:125
+x	332:2	x	L G:0,148
+x	335:2	x	L G:22
+x	335:3	x	L G:22
+x	3447:2	x	L G:0
+x	349:1	x	L G:73
+x	367:2	x	L G:124
+x	4064:2	x	L G:115
+x	427:2	x	L G:1,2,6,8
+x	4290:2	x	L G:18
+x	4336:2	x	L G:166
+x	4403:2	x	L G:26
+x	440:2	x	L G:115
+x	4506:2	x	L G:114
+x	452:3	x	L G:122
+x	452:4	x	L G:2
+x	4579:2	x	L G:145
+x	4579:3	x	L G:145
+x	4595:2	x	L G:131
+x	459:2	x	L G:138_145
+x	4699:4	x	L G:18
+x	4801:2	x	L G:115
+x	4845:2	x	L G:166
+x	5089:2	x	L G:131
+x	517:2	x	L G:76
+x	5418:2	x	L G:126
+x	555:2	x	L G:124
+x	5592:2	x	L G:111
+x	56:2	x	L G:0
+x	572:2	x	L G:21
+x	572:3	x	L G:24
+x	576:2	x	L G:110,115,123,148
+x	582:2	x	L G:18
+x	5874:2	x	L G:3,4
+x	624:2	x	L G:24
+x	624:3	x	L G:44
+x	6324:4	x	L G:6,126
+x	6333:3	x	L G:2
+x	645:4	x	L G:8
+x	6551:2	x	L G:131
+x	6695:2	x	L G:145
+x	683:2	x	L G:126
+x	689:3	x	L G:2
+x	689:4	x	L G:148
+x	7039:1	x	L G:18,125
+x	7486:1	x	L G:26
+x	7486:4	x	L G:26
+x	772:2	x	L G:2
+x	7895:2	x	L G:124
+x	856:2	x	L G:1,2,9,77_79,99,101,103_110,126,148
+x	892:2	x	L G:2
+x	901:2	x	L G:147
+x	914:2	x	L G:49,60_62,69
+x	928:1	x	L G:18
+x	987:2	x	L G:6
+x	98:2	x	L G:111
+x	98:3	x	L G:1
diff --git a/datasets/mtu173/input/point_mutations.txt b/datasets/mtu173/input/point_mutations.txt
new file mode 100644
index 0000000..f432c32
--- /dev/null
+++ b/datasets/mtu173/input/point_mutations.txt
@@ -0,0 +1,123171 @@
+HaarlemNITR202 RGTB423 CASNITR204 OSDD493 OSDD105 NA-A0009 EAI_OSDD271 NA-A0008 RGTB327 CDC1551 CDC1551A PanR0305 PanR0316 PanR0301 SUMu001 SUMu011 SUMu010 98-R604_INH-RIF-EM GM_1503 KZN_V2475 KZN_1435 KZN_R506 KZN_605 KZN_4207_Broad KZN_4207 F11 HM PanR0708 PanR0906 PanR0703 PanR1007 PanR0611 PanR0704 PanR0805 PanR1101 PanR0403 UT205 PanR0313 PanR0610 PanR0903 PanR0404 PanR0409 PanR0503 PanR0402 PanR0203 PanR0602 CTRI-2 PanR0407 PanR0601 PanR0401 PanR0205 PanR0306 PanR0209 PanR0607 PanR [...]
+>CCDC5180_2365	6700	x
+7	n	G R:153;?:0,1,81,145,167
+>FJ05194_0455	11336	x
+9	n	G X:0;?:137
+18	n	G X:0;?:137
+62	n	M T:1;?:137
+>FJ05194_0461	8736	x
+53	n	Q H:123;?:0,128,137
+>FJ05194_1137	8347	x
+8	n	L P:130;-:9,13,18,32,33,110,112,134,136,149;?:147
+47	n	L X:0;?:147
+>FJ05194_1293	8465	x
+-49	p	A -:163;M:0;?:25,30,83
+-42	p	T Y:0;-:163;?:25,30,83
+-37	p	T K:0;-:163;?:25,30,83
+-33	p	G S:0;-:6,7,163;?:25,30,83
+>FJ05194_1437	6771	x
+7	n	G -:0,81,145;?:128;V:138_144,146_172
+>FJ05194_1766	5521	x
+>FJ05194_2136	9872	x
+>FJ05194_2741	295	ligA
+19	n	R -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,94,96_98,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;V:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171
+20	n	A -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,94,96_98,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;L:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;?:5,90,128,152,163,167
+21	n	R -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,94,96_98,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;G:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171
+22	n	C A:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,94,96_98,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+23	n	R A:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,94,96_98,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+24	n	R A:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,94,96_98,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+26	n	V S:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,94,96_98,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+27	n	R -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,94,96_98,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;E:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;?:5,90,128,152,163,167
+28	n	G -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,94,96_98,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;V:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171
+29	n	S A:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,94,96_98,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+30	n	H -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,94,96_98,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;T:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;?:5,90,128,152,163,167
+31	n	R -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,94,96_98,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;G:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171
+32	n	R A:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,94,96_98,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+33	n	P R:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,94,96_98,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+35	n	S -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,94,96_98,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;V:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171
+36	n	G A:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,94,96_98,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+37	n	S A:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,94,96_98,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+38	n	M -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;C:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;?:5,90,128,152,163,167
+39	n	R X:51;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;D:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;?:5,90,128,152,163,167
+40	n	P -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;X:51
+41	n	R A:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;X:51;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+42	n	A P:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;X:51
+43	n	R -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;E:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;?:5,90,128,152,163,167;X:51
+44	n	G A:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;X:51;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+45	n	R A:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;X:51;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+46	n	G A:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+47	n	R A:8;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;V:1,2,6,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171
+48	n	T P:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+49	n	H -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;T:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;?:5,90,128,152,163,167
+50	n	A -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;L:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;?:5,90,128,152,163,167
+51	n	R -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;E:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;?:5,90,128,152,163,167
+52	n	T X:59;R:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+53	n	R A:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;X:59;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+54	n	A P:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;X:59
+55	n	R A:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;X:43,59;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+56	n	S P:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;X:43,59
+57	n	H -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;T:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;?:5,90,128,152,163,167;X:43,59
+58	n	G A:1,2,6,8,101,102,111,115,119,127,138,140,151,162,164,166,168,170,171;X:59;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+59	n	G X:59,102;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;V:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171
+60	n	T P:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;X:59,102
+61	n	A X:102,140;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;L:1,2,6,8,101,111,115,119,127,138,151,162,164,166,168,170,171;?:5,90,128,152,163,167
+62	n	R X:102,140;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;G:1,2,6,8,101,111,115,119,127,138,151,162,164,166,168,170,171
+63	n	R A:1,2,6,8,101,111,115,119,127,138,151,162,164,166,168,170,171;X:140;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+64	n	G A:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;X:19;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+65	n	G A:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;X:19;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+66	n	R A:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+67	n	R A:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+68	n	P R:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+69	n	C A:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+70	n	A P:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+71	n	R -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;G:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171
+72	n	D -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;T:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171
+73	n	T P:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+74	n	G -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;D:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;?:5,90,128,152,163,167
+75	n	R A:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+76	n	R A:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+77	n	S A:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+78	n	R -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;G:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171
+79	n	R -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;V:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171
+80	n	H -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;T:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;?:5,90,128,152,163,167
+81	n	R -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;D:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;?:5,90,128,152,163,167
+82	n	R A:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+83	n	G A:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+84	n	G -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;D:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;?:5,90,128,152,163,167
+85	n	F S:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+86	n	V S:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+87	n	R A:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+88	n	M -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;W:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171
+89	n	G A:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+90	n	R -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;G:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171
+92	n	R -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;D:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;?:5,90,128,152,163,167
+93	n	L C:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+94	n	R -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;V:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171
+97	n	A P:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+98	n	R A:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+99	n	M -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;C:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;?:5,90,128,152,163,167
+100	n	L -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;W:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;?:5,90,128,152,163,167
+101	n	A P:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+102	n	R -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;G:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171
+103	n	H -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;T:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;?:5,90,128,152,163,167
+104	n	T P:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+105	n	R -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;G:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171
+106	n	L C:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+107	n	L S:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+108	n	R A:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+109	n	Q -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;N:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171
+110	n	R A:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+111	n	R A:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+113	n	F -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;L:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;?:5,90,128,152,163,167
+114	n	D -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;T:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171
+115	n	V C:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+116	n	R -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;G:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171
+117	n	R A:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+118	n	R -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;G:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171
+119	n	L S:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+120	n	A P:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+122	n	W -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;G:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;?:5,90,128,152,163,167
+123	n	G -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;V:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171
+124	n	A P:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+125	n	R -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;G:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171
+126	n	C -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;V:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171
+127	n	C A:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+128	n	W -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;G:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;?:5,90,128,152,163,167
+129	n	T P:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+130	n	R -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;D:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;?:5,90,128,152,163,167
+131	n	R -:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167;G:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171
+132	n	T P:1,2,6,8,101,111,115,119,127,138,140,151,162,164,166,168,170,171;-:7,10,12_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,83_89,91,92,96,97,100,110,112,116,120_126,129,131,132,136,137,145_147,153,159,165;?:5,90,128,152,163,167
+134	n	S -:7,10,13_15,17,18,21,22,24,29,31,33,34,37,47,48,50,61,62,67,71,72,83,85,88,91,100,110,123_125,129,131,132,136,137,145,147,153,165;?:5,90,128,152,163,167;V:2,6,8,12,16,26,38_42,49,60,64,65,76,80,84,86,87,89,92,96,97,101,111,112,115,116,119_122,126,127,138,140,146,151,159,162,164,166,168,170,171
+135	n	G A:2,6,8,12,16,26,38_42,49,60,64,65,76,80,84,86,87,89,92,96,97,101,111,112,115,116,119_122,126,127,138,140,146,151,159,162,164,166,168,170,171;-:7,10,13_15,17,18,21,22,24,29,31,33,34,37,47,48,50,61,62,67,71,72,83,85,88,91,100,110,123_125,129,131,132,136,137,145,147,153,165;?:5,90,128,152,163,167
+136	n	R -:7,10,13_15,17,18,21,22,24,29,31,33,34,37,47,48,50,61,62,67,71,72,83,85,88,91,100,110,123_125,129,131,132,136,137,145,147,153,165;?:5,90,128,152,163,167;G:2,6,8,12,16,26,38_42,49,60,64,65,76,80,84,86,87,89,92,96,97,101,111,112,115,116,119_122,126,127,138,140,146,151,159,162,164,166,168,170,171
+137	n	C -:7,10,13_15,17,18,21,22,24,29,31,33,34,37,47,48,50,61,62,67,71,72,83,85,88,91,100,110,123_125,129,131,132,136,137,145,147,153,165;?:5,90,128,152,163,167;V:2,6,8,12,16,26,38_42,49,60,64,65,76,80,84,86,87,89,92,96,97,101,111,112,115,116,119_122,126,127,138,140,146,151,159,162,164,166,168,170,171
+138	n	N -:7,10,13_15,17,18,21,22,24,29,31,33,34,37,47,48,50,61,62,67,71,72,83,85,88,91,100,110,123_125,129,131,132,136,137,145,147,153,165;T:2,6,8,12,16,26,38_42,49,60,64,65,76,80,84,86,87,89,92,96,97,101,111,112,115,116,119_122,126,127,138,140,146,151,159,162,164,166,168,170,171;?:5,90,128,152,163,167
+139	n	R -:7,10,13_15,17,18,21,22,24,29,31,33,34,37,47,48,50,61,62,67,71,72,83,85,88,91,100,110,123_125,129,131,132,136,137,145,147,153,165;?:5,90,128,152,163,167;G:2,6,8,12,16,26,38_42,49,60,64,65,76,80,84,86,87,89,92,96,97,101,111,112,115,116,119_122,126,127,138,140,146,151,159,162,164,166,168,170,171
+140	n	L -:7,10,13_15,17,18,21,22,24,29,31,33,34,37,47,48,50,61,62,67,71,72,83,85,88,91,100,110,123_125,129,131,132,136,137,145,147,153,165;W:2,6,8,12,16,26,38_42,49,60,64,65,76,80,84,86,87,89,92,96,97,101,111,112,115,116,119_122,126,127,138,140,146,151,159,162,164,166,168,170,171;?:5,90,128,152,163,167
+143	n	R -:7,10,13_15,17,18,21,22,24,29,31,33,34,37,47,48,50,61,62,67,71,72,83,85,88,91,100,110,123_125,129,131,132,136,137,145,147,153,165;?:5,90,128,152,163,167;G:2,6,8,12,16,26,38_42,49,60,64,65,76,80,84,86,87,89,92,96,97,101,111,112,115,116,119_122,126,127,138,140,146,151,159,162,164,166,168,170,171
+144	n	R -:7,10,13_15,17,18,21,22,24,29,31,33,34,37,47,48,50,61,62,67,71,72,83,85,88,91,100,110,123_125,129,131,132,136,137,145,147,153,165;D:2,6,8,12,16,26,38_42,49,60,64,65,76,80,84,86,87,89,92,96,97,101,111,112,115,116,119_122,126,127,138,140,146,151,159,162,164,166,168,170,171;?:5,90,128,152,163,167
+145	n	W -:7,10,13_15,17,18,21,22,24,29,31,33,34,37,47,48,50,61,62,67,71,72,83,85,88,91,100,110,123_125,129,131,132,136,137,145,147,153,165;G:2,6,8,12,16,26,38_42,49,60,64,65,76,80,84,86,87,89,92,96,97,101,111,112,115,116,119_122,126,127,138,140,146,151,159,162,164,166,168,170,171;?:5,90,128,152,163,167
+146	n	R A:2,6,8,12,16,26,38_42,49,60,64,65,76,80,84,86,87,89,92,96,97,101,111,112,115,116,119_122,126,127,138,140,146,151,159,162,164,166,168,170,171;-:7,10,13_15,17,18,21,22,24,29,31,33,34,37,47,48,50,61,62,67,71,72,83,85,88,91,100,110,123_125,129,131,132,136,137,145,147,153,165;?:5,90,128,152,163,167
+147	n	R -:7,10,13_15,17,18,21,22,24,29,31,33,34,37,47,48,50,61,62,67,71,72,83,85,88,91,100,110,123_125,129,131,132,136,137,145,147,153,165;?:5,90,128,152,163,167;G:2,6,8,12,16,26,38_42,49,60,64,65,76,80,84,86,87,89,92,96,97,101,111,112,115,116,119_122,126,127,138,140,146,151,159,162,164,166,168,170,171
+148	n	C A:2,6,8,12,16,26,38_42,49,60,64,65,76,80,84,86,87,89,92,96,97,101,111,112,115,116,119_122,126,127,138,140,146,151,159,162,164,166,168,170,171;-:7,10,13_15,17,18,21,22,24,29,31,33,34,37,47,48,50,61,62,67,71,72,83,85,88,91,100,110,123_125,129,131,132,136,137,145,147,153,165;?:5,90,128,152,163,167
+149	n	R -:7,10,13_15,17,18,21,22,24,29,31,33,34,37,47,48,50,61,62,67,71,72,83,85,88,91,100,110,123_125,129,131,132,136,137,145,147,153,165;?:5,90,128,152,163,167;G:2,6,8,12,16,26,38_42,49,60,64,65,76,80,84,86,87,89,92,96,97,101,111,112,115,116,119_122,126,127,138,140,146,151,159,162,164,166,168,170,171
+150	n	S A:2,6,8,12,16,26,38_42,49,60,64,65,76,80,84,86,87,89,92,96,97,101,111,112,115,116,119_122,126,127,138,140,146,151,159,162,164,166,168,170,171;-:7,10,13_15,17,18,21,22,24,29,31,33,34,37,47,48,50,61,62,67,71,72,83,85,88,91,100,110,123_125,129,131,132,136,137,145,147,153,165;?:5,90,128,152,163,167
+151	n	R -:7,10,13_15,17,18,21,22,24,29,31,33,34,37,47,48,50,61,62,67,71,72,83,85,88,91,100,110,123_125,129,131,132,136,137,145,147,153,165;?:5,90,128,152,163,167;G:2,6,8,12,16,26,38_42,49,60,64,65,76,80,84,86,87,89,92,96,97,101,111,112,115,116,119_122,126,127,138,140,146,151,159,162,164,166,168,170,171
+152	n	L C:2,6,8,12,16,26,38_42,49,60,64,65,76,80,84,86,87,89,92,96,97,101,111,112,115,116,119_122,126,127,138,140,146,151,159,162,164,166,168,170,171;-:7,10,13_15,17,18,21,22,24,29,31,33,34,37,47,48,50,61,62,67,71,72,83,85,88,91,100,110,123_125,129,131,132,136,137,145,147,153,165;?:5,90,128,152,163,167
+153	n	R -:7,10,13_15,17,18,21,22,24,29,31,33,34,37,47,48,50,61,62,67,71,72,83,85,88,91,100,110,123_125,129,131,132,136,137,145,147,153,165;?:5,90,128,152,163,167;G:2,6,8,12,16,26,38_42,49,60,64,65,76,80,84,86,87,89,92,96,97,101,111,112,115,116,119_122,126,127,138,140,146,151,159,162,164,166,168,170,171
+154	n	V C:2,6,8,12,16,26,38_42,49,60,64,65,76,80,84,86,87,89,92,96,97,101,111,112,115,116,119_122,126,127,138,140,146,151,159,162,164,166,168,170,171;-:7,10,13_15,17,18,21,22,24,29,31,33,34,37,47,48,50,61,62,67,71,72,83,85,88,91,100,110,123_125,129,131,132,136,137,145,147,153,165;?:5,90,128,152,163,167
+155	n	W -:7,10,13_15,17,18,21,22,24,29,31,33,34,37,47,48,50,61,62,67,71,72,83,85,88,91,100,110,123_125,129,131,132,136,137,145,147,153,165;G:2,6,8,12,16,26,38_42,49,60,64,65,76,80,84,86,87,89,92,96,97,101,111,112,115,116,119_122,126,127,138,140,146,151,159,162,164,166,168,170,171;?:5,90,128,152,163,167
+156	n	S A:2,6,8,12,16,26,38_42,49,60,64,65,76,80,84,86,87,89,92,96,97,101,111,112,115,116,119_122,126,127,138,140,146,151,159,162,164,166,168,170,171;-:7,10,13_15,17,18,21,22,24,29,31,33,34,37,47,48,50,61,62,67,71,72,83,85,88,91,100,110,123_125,129,131,132,136,137,145,147,153,165;?:5,90,128,152,163,167
+158	n	S A:2,6,8,12,16,26,38_42,49,60,64,65,76,80,84,86,87,89,92,96,97,101,111,112,115,116,119_122,126,127,138,140,146,151,159,162,164,166,168,170,171;-:7,10,13_15,17,18,21,22,24,29,31,33,34,37,47,48,50,61,62,67,71,72,83,85,88,91,100,110,123_125,129,131,132,136,137,145,147,153,165;?:5,90,128,152,163,167
+159	n	W -:7,10,13_15,17,18,21,22,24,29,31,33,34,37,47,48,50,61,62,67,71,72,83,85,88,91,100,110,123_125,129,131,132,136,137,145,147,153,165;G:2,6,8,12,16,26,38_42,49,60,64,65,76,80,84,86,87,89,92,96,97,101,111,112,115,116,119_122,126,127,138,140,146,151,159,162,164,166,168,170,171;?:5,90,128,152,163,167
+160	n	G -:7,10,13_15,17,18,21,22,24,29,31,33,34,37,47,48,50,61,62,67,71,72,83,85,88,91,100,110,123_125,129,131,132,136,137,145,147,153,165;?:5,90,128,152,163,167;V:2,6,8,12,16,26,38_42,49,60,64,65,76,80,84,86,87,89,92,96,97,101,111,112,115,116,119_122,126,127,138,140,146,151,159,162,164,166,168,170,171
+161	n	N -:7,10,13_15,17,18,21,22,24,29,31,33,34,37,47,48,50,61,62,67,71,72,83,85,88,91,100,110,123_125,129,131,132,136,137,145,147,153,165;T:2,6,8,12,16,26,38_42,49,60,64,65,76,80,84,86,87,89,92,96,97,101,111,112,115,116,119_122,126,127,138,140,146,151,159,162,164,166,168,170,171;?:5,90,128,152,163,167
+163	n	R -:14,15,83,85,88,100,165;?:5,90,128,152,163,167;V:2,6_8,10,12,13,16_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,84,86,87,89,91,92,96,97,101,110_112,115,116,119_127,129,131,132,136_138,140,145_147,151,153,159,162,164,166,168,170,171
+164	n	A -:14,15,83,85,88,100,165;?:5,90,128,152,163,167;G:0,1,3,4,9,11,19,20,23,25,27,28,30,32,35,36,43_46,51_59,63,66,68_70,73_75,77_79,81,82,93_95,98,99,102_109,113,114,117,118,130,133_135,139,141_144,148_150,154_158,160,161,169,172
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+166	n	G -:14,15,83,85,88,100,165;?:5,90,128,152,163,167;V:2,6_8,10,12,13,16_18,21,22,24,26,29,31,33,34,37_42,47_50,60_62,64,65,67,71,72,76,80,84,86,87,89,91,92,96,97,101,110_112,115,116,119_127,129,131,132,136_138,140,145_147,151,153,159,162,164,166,168,170,171
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+59	n	T A:1;R:0,81;?:3,4,22,98,151
+60	n	A H:0,81;?:3,4,22,98,151
+61	n	S Q:0,81;C:1;?:3,4,22,98,151
+64	n	I D:0,81;?:3,4,22,98,151
+65	n	S H:0,81;?:3,4,22,98,151
+67	n	E ?:3,4,22,98,151;G:0,81
+70	n	E P:0,81;?:3,4,22,98,151
+72	n	S ?:3,4,22,98,151;G:0,81
+73	n	R A:0,81;?:3,4,22,98,151
+74	n	R Q:0,81;?:3,4,22,98,151
+75	n	E ?:3,4,22,98,151;G:0,81
+76	n	L W:0,81;?:3,4,22,98,151
+77	n	R M:0,81;?:3,4,22,98,151
+78	n	G ?:3,4,22,98,151;N:0,81
+79	n	G ?:3,4,22,98,151;V:0,81
+>HKBT1_0078	10259	x
+5	n	H R:98;?:12,13,22,83,135,137,151
+>HKBT1_0162	10605	x
+>HKBT1_0165	4886	x
+2	n	S X:0;-:125,132,133;?:2,22
+6	n	A X:0;-:125,132,133;?:2,22
+11	n	V X:0;-:125,132,133;?:2,22
+12	n	A X:0;-:125,132,133;?:2,22
+17	n	E X:0;-:125,132,133;?:2,22
+18	n	V X:0;-:132,133;?:2,22
+19	n	A X:0;-:132,133;?:2,22
+20	n	G X:0;-:132,133;?:2,22
+62	n	Y D:98;?:2,22
+>HKBT1_0172	1133	x
+>HKBT1_0202	4692	mymT
+>HKBT1_0434	6379	x
+>HKBT1_0494	9320	x
+-36	p	T C:1_7,9_13,81,111_119,123_136,138_172;?:0,137
+0	p	T -:1;?:0,137;N:17
+>HKBT1_0553	1092	x
+49	n	D G:167;?:0,98,137,151
+50	n	N Q:167;?:0,98,137,151
+>HKBT1_0555	3376	x
+29	n	V S:111;?:18,74,80,92,98,137,151
+33	n	I ?:18,74,80,92,98,137,151;V:111
+34	n	V C:111;?:18,74,80,92,98,137,151
+36	n	I T:0;?:18,74,80,92,98,137,151;D:111
+37	n	R S:0;?:18,74,80,92,98,137,151
+38	n	L X:0;?:18,74,80,92,98,137,151;D:111
+39	n	G S:111;?:18,74,80,92,98,137,151
+40	n	R P:111;?:18,74,80,92,98,137,151
+41	n	D R:111;?:18,74,80,92,98,137,151
+42	n	W P:111;?:18,74,80,92,98,137,151
+45	n	L A:111;?:18,74,80,92,98,137,151
+46	n	T A:111;?:18,74,80,92,98,137,151
+47	n	L P:111;?:18,74,80,92,98,137,151
+48	n	A ?:18,74,80,92,98,137,151;N:111
+49	n	A -:0;?:18,74,80,92,98,137,151;V:111
+50	n	P -:0;G:111;?:18,74,80,92,98,137,151
+51	n	G C:111;?:18,74,80,92,98,137,151
+52	n	V T:0,111;?:18,74,80,92,98,137,151
+54	n	C X:0;?:18,74,80,92,98,137,151
+56	n	K L:0,111;?:18,74,80,92,98,137,151
+57	n	V R:0,111;?:18,74,80,92,98,137,151
+58	n	C X:0;E:111;?:18,74,80,92,98,137,151
+59	n	D G:0,111;?:18,74,80,92,98,137,151
+>HKBT1_0624	9645	x
+>HKBT1_0638	5121	x
+-26	p	G S:0
+20	n	V X:0
+>HKBT1_0645	990	vapB29
+>HKBT1_0650	6768	x
+0	p	G -:132;?:0,2,83,163;N:47,48
+2	n	P -:83;L:124;?:0,2,163
+>HKBT1_0699	1055	x
+>HKBT1_0702	9797	x
+-14	p	G A:0_5,7,9_13,111_119,123_129,132_146,148_172;?:6,18,81,130,131,147
+-12	p	T C:118;?:6,18,81,130,131,147
+>HKBT1_0727	8024	x
+>HKBT1_0735	3698	x
+-28	p	C T:127;?:0
+-23	p	G T:1,5_7,81,125_131;?:0
+39	n	N S:9_13,111;?:0
+44	n	N S:3,4;?:0
+66	n	A G:81;?:0
+68	n	G A:168;?:0
+>HKBT1_0821	5541	x
+9	n	V X:0
+22	n	V X:0
+27	n	L X:0
+>HKBT1_0875	8547	x
+-50	p	G -:15,84,89;?:3,4,6,18,80,83,85,92,98,100,110,111,115,124,125,131,132,135,137,138,145,162,163;N:123
+-49	p	G -:15,84,89;?:3,4,6,18,80,83,85,92,98,100,110,111,115,124,125,131,132,135,137,138,145,162,163;N:123
+52	n	M X:0;?:3,4,6,18,80,83,85,92,98,100,110,111,115,124,125,131,132,135,137,138,145,162,163
+>HKBT1_0931	3574	x
+>HKBT1_0932	10037	x
+>HKBT1_0955	4763	x
+>HKBT1_0960	6071	x
+57	n	Q X:0
+66	n	V X:0
+68	n	T X:0
+>HKBT1_0995	1386	x
+37	n	Y X:0;?:132_134,152
+38	n	Q X:0;?:132_134,152
+52	n	H X:0;?:132_134,152;P:95_98
+53	n	T X:0;?:132_134,152
+>HKBT1_0997	5097	x
+13	n	R X:0;-:137
+>HKBT1_1013	6606	x
+-28	p	G A:14_16,91_94,99_110;?:0,8,83_90,126
+>HKBT1_1048	2907	x
+18	n	A X:0;T:112_114;?:1
+28	n	A X:0;?:1
+31	n	C Y:80;?:1
+>HKBT1_1049	2273	ubiE
+31	n	F X:0;-:3,4,13,28,29,33,42,45,47,48,50,62,63,71,72,74,91,112,122,132_134,150,167
+32	n	H X:0;-:3,4,13,28,29,33,42,45,47,48,50,62,63,71,72,74,91,112,122,132_134,150,167
+105	n	C R:47_76
+>HKBT1_1079	288	x
+>HKBT1_1095	9512	x
+-40	p	A R:0
+-38	p	C T:0
+-36	p	A G:0
+>HKBT1_1097	6306	x
+-50	p	C -:6,80,151_153,163,169_171;N:36
+-49	p	C -:6,80,151_153,163,169_171;N:36
+-48	p	C -:6,80,151_153,163,169_171;N:36
+-47	p	T -:6,80,151_153,163,169_171;N:36
+-46	p	A -:6,80,151_153,163,169_171;N:36
+-45	p	G -:6,80,151_153,163,169_171;N:36
+-44	p	T C:2_4,12,13,43,44,78,79,82,98,123,124,132_134;-:6,80
+0	p	C -:6,80,127,132_136,151_153,163,169_171;N:36
+3	n	G S:126,127
+14	n	A T:153
+56	n	T M:0,9_13,111
+>HKBT1_1107	5652	x
+>HKBT1_1111	10475	x
+-17	p	G T:5,7
+>HKBT1_1146	127	x
+0	p	C -:14,88;G:26;?:17,18,22,92,110,111,125,131,134,137
+>HKBT1_1153	5790	x
+27	n	Q X:0;?:110
+>HKBT1_1156	7576	x
+-42	p	C A:167;?:0,3,4,98,110
+0	p	C -:111,137;?:0,3,4,98,110;N:167
+>HKBT1_1170	8286	x
+-27	p	C A:112_119;?:0,2
+9	n	A ?:0,2;V:123
+100	n	G A:129;?:0,2
+>HKBT1_1201	9167	x
+-29	p	T M:0;?:123
+>HKBT1_1217	6154	x
+>HKBT1_1220	7927	x
+106	n	S P:0_2,5_7,9_13,81,111_119,123_127,129_131,135_172;?:3,4,26,128,132_134
+>HKBT1_1221	3140	x
+-49	p	A C:132_134
+-48	p	C G:132_134
+-45	p	C T:132_134
+-37	p	C A:6,86,90,112_118;-:132_134
+-34	p	A G:132_134
+-29	p	C A:132_134
+-28	p	T C:132_134
+-24	p	C T:132_134
+-20	p	C G:132_134
+-19	p	A C:6,18,86,90,112_118,132_134
+-18	p	A C:6,18,86,90,112_118
+-15	p	C T:132_134
+-13	p	A C:132_134
+-12	p	C G:132_134
+-8	p	G C:132_134
+-7	p	A G:132_134
+-3	p	A G:152
+0	p	A -:6,132;N:112
+21	n	T X:0
+22	n	D X:0
+24	n	S X:0
+28	n	A X:0
+30	n	E X:0;D:81
+>HKBT1_1230	6128	x
+-47	p	C -:132_134;G:26;?:0,111,151
+-45	p	G A:2;-:132_134;?:0,111,151
+-44	p	T G:26;-:132_134;?:0,111,151
+60	n	K ?:0,111,151;N:168
+>HKBT1_1283	8552	x
+-15	p	A G:1,2,5_7,81,123,124,126,128_131,135,136,138_172;?:0,12,13,26,98,118,125,127,132_134,137
+>HKBT1_1306	1401:1	x
+57	n	A T:2,133;?:0,91,93,94,128
+>HKBT1_1377	2778	x
+71	n	S R:154_161;?:3,4
+>HKBT1_1397	8177	x
+>HKBT1_1455	6206	x
+>HKBT1_1478	5539	x
+-10	p	A ?:18;G:0,14_16,81,91_110
+0	p	A C:0;?:18
+7	n	F V:80;?:18
+26	n	G S:9_11;?:18
+39	n	L ?:18;V:17
+41	n	D P:17;?:18
+42	n	L I:17;?:18
+43	n	S A:17;?:18
+46	n	S A:17;?:18
+47	n	R P:17;?:18
+48	n	H ?:18;W:17
+49	n	G ?:18;F:17
+50	n	C A:17;?:18
+51	n	V S:17;?:18
+52	n	N T:17;?:18
+53	n	A Q:17;?:18
+54	n	T P:17;?:18
+55	n	L C:17;?:18
+56	n	P Q:17;?:18
+57	n	I ?:18;F:17
+>HKBT1_1528	9727	x
+>HKBT1_1531	7057	x
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+73	n	S Y:101;?:18,74,83,86,92,145,149,162,167
+>HKBT1_1621	2550	x
+22	n	G E:9,10
+23	n	L X:0
+34	n	L X:0
+52	n	P X:0
+>HKBT1_1654	5141	x
+>HKBT1_1812	10664	x
+-50	p	A M:0;?:5,7,26,73_76,123,125_129,132_134
+>HKBT1_1839	1673	x	1971390	1970989	-
+1	n	V C:1,33,72,81,164;-:3,4,11_13,27_32,34,35,37_45,47_71,73_76,82,91,93,94,98,102,112_114,116_118,120_122,132_134,136,149,150;W:8;?:0,115,151
+2	n	C -:3,4,11_13,27_32,34,35,37_45,47_71,73_76,82,91,93,94,98,102,112_114,116_118,120_122,132_134,136,149,150;?:0,115,151;V:1,33,72,81,164
+3	n	G A:1,33,72,81,164;-:3,4,11_13,27_32,34,35,37_45,47_71,73_76,82,91,93,94,98,102,112_114,116_118,120_122,132_134,136,149,150;?:0,115,151
+4	n	M -:3,4,11_13,27_32,34,35,37_45,47_71,73_76,82,91,93,94,98,102,112_114,116_118,120_122,132_134,136,149,150;C:1,33,72,81,164;?:0,115,151
+5	n	P -:3,4,11_13,27_32,34,35,37_45,47_71,73_76,82,91,93,94,98,102,112_114,116_118,120_122,132_134,136,149,150;L:1,33,72,81,164;?:0,115,151
+6	n	S A:1,33,72,81,164;-:3,4,11_13,27_32,34,35,37_45,47_71,73_76,82,91,93,94,98,102,112_114,116_118,120_122,132_134,136,149,150;?:0,115,151
+7	n	M C:1,33,72,81,164;?:0,115,151
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+11	n	H T:1,33,72,81,164;?:0,115,151
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+15	n	G A:1,33,72,81,164;?:0,115,151
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+32	n	R ?:0,115,151;V:1,33,72,81
+33	n	E ?:0,115,151;N:1,33,72,81
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+37	n	T L:1,33,72,81;?:0,115,151
+38	n	A R:1,33,72,81;?:0,115,151
+39	n	E ?:0,115,151;N:1,33,72,81
+40	n	C ?:0,115,151;V:1,33,72,81
+42	n	R A:1,33,72,81;?:0,115,151
+44	n	P ?:0,115,151;N:1,33,72,81
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+47	n	S ?:0,115,151;V:1,33,72,81
+50	n	Q ?:0,115,151;N:1,33,72,81
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+53	n	P R:1,33,72,81;?:0,115,151
+54	n	G ?:0,115,151;V:1,33,72,81,110
+55	n	F S:1,33,72,81;?:0,115,151
+56	n	E ?:0,115,151;N:1,33,72,81
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+-25	p	C T:171;?:74,100
+13	n	P R:149;-:74
+50	n	S P:139_145
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+48	n	M Q:81,130;?:1,3_7,26,82,123_129,131_136
+>HKBT1_1978	2836	x
+33	n	E K:138;?:30
+40	n	I ?:30;V:146_150,154_172
+>HKBT1_1985	2977	x
+-17	p	G A:132;?:30
+22	n	A ?:30;V:137
+26	n	V X:0;?:30
+>HKBT1_2058	8244	x
+>HKBT1_2119	3710	x
+>HKBT1_2120	2810	x
+27	n	G R:2;?:0,8,26,132_134,151,152
+48	n	D E:14_16;?:0,8,26,132_134,151,152
+54	n	G E:1,2,5_7,81,123_131,135_150,153_172;?:0,8,26,132_134,151,152
+56	n	H R:1;?:0,8,26,132_134,151,152
+>HKBT1_2194	298	x
+>HKBT1_2199	8851	x
+4	n	V -:36,132,133;G:158;?:111
+24	n	T A:153;-:36,132,133;?:111
+25	n	R -:132,133;M:36;?:111
+26	n	P -:132,133;D:36;?:111
+29	n	S P:36;-:132,133;?:111
+30	n	G P:36;-:132,133;?:111
+32	n	A S:36;-:132,133;?:111
+33	n	T A:36;-:132,133;?:111
+43	n	Y -:132,133;?:111;F:36
+45	n	A Q:36;-:132,133;?:111
+46	n	A -:132,133;L:36;?:111
+47	n	E A:36;-:132,133;?:111
+48	n	T -:132,133;?:111;V:36
+49	n	A -:132,133;?:111;G:36
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+51	n	A -:132,133;?:111;G:36
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+54	n	K R:36;-:132,133;?:111
+55	n	L R:36;-:132,133;?:111
+57	n	E A:36;-:132,133;?:111
+58	n	V ?:111;G:36
+59	n	Y C:36;?:111
+60	n	K R:36;?:111
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+62	n	A ?:111;F:36
+63	n	A ?:111;N:36
+65	n	A ?:111;G:36
+66	n	V T:36;?:111
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+70	n	T P:36;?:111
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+72	n	G E:36;?:111
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+75	n	P S:36;?:111
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+77	n	F H:36;?:111
+78	n	A R:36;?:111
+79	n	N R:36;?:111
+80	n	I ?:111;W:36
+81	n	A ?:111;N:36
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+88	n	M H:36;?:111
+89	n	L R:36,123;?:111
+90	n	Q S:36;?:111
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+92	n	T ?:111;N:36
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+95	n	T R:36;?:111
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+99	n	L ?:111;V:36
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+103	n	E ?:111;V:36
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+62	n	G R:37_39,41,42,120,121;-:40,72;?:169
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+154	n	S -:14,48,53,54,56,98;F:151
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+156	n	D A:151;R:1,3_10,15,16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,152,165,168,172;-:14
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+158	n	S -:14,151;T:1,3_10,15,16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,152,165,168,172
+159	n	S -:14,151;C:1,3_10,15,16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,152,165,168,172
+161	n	V -:14,151;T:1,3_10,15,16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,152,165,168,172
+162	n	A R:1,3_10,15,16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,152,165,168,172;-:14,151
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+165	n	R H:1,3_10,14_16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,152,165,168,172;-:151
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+167	n	V -:151;L:1,3_10,14_16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,152,165,168,172
+168	n	S X:0;-:151;T:1,3_10,14_16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,152,165,168,172
+169	n	R -:151;G:91,92,94
+170	n	S I:0,2,11,27,29,31,37,44,50,58,75,77_79,81,93,99,101_110,112_114,116_119,121,130,135,137,145,153;-:151;V:1,3_10,14_16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,152,165,168,172
+171	n	T X:0;-:151;D:1,3_10,14_16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,152,165,168,172
+172	n	A -:151;F:1,3_10,14_16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,152,165,168,172
+173	n	R D:1,3_10,14_16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,151,152,165,168,172
+174	n	A L:1,3_10,14_16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,151,152,165,168,172
+175	n	T A:1,3_10,14_16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,152,165,168,172;L:151
+176	n	A E:1,3_10,14_16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,152,165,168,172;D:151
+177	n	S A:1,3_10,14_16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,151,152,165,168,172
+178	n	A P:151;F:1,3_10,14_16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,152,165,168,172
+179	n	S D:151
+180	n	I A:1,3_10,14_16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,151,152,165,168,172
+181	n	G L:151;V:1,3_10,14_16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,152,165,168,172
+182	n	S H:1,3_10,14_16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,152,165,168,172;F:151
+184	n	L S:151;E:1,3_10,14_16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,152,165,168,172
+185	n	P Q:1,3_10,14_16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,152,165,168,172;R:151
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+191	n	L R:151;-:1,3_10,14_16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,152,165,168,172
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+207	n	P Q:1,3_10,14_16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,151,152,165,168,172
+208	n	A Q:1,3_10,14_16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,152,165,168,172;R:151
+209	n	A S:151;V:1,3_10,14_16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,152,165,168,172
+210	n	S A:1,3_10,14_16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,151,152,165,168,172
+250	n	L S:145;-:1,3_10,14_16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,151,152,165,168,172
+284	n	S -:1,3_10,14_16,32,46,48,52_54,56,62,63,68,82,83,98,100,111,115,120,123,125,129,132,133,136_144,151,152,165,168,172;C:43
+285	n	F -:1,3_10,14_16,32,34,38,46,48,52_54,56,62,63,66,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,151,152,165,168,172;E:0,2,67,77_79,91,93_95,99,101_110,122,137;L:13,74;X:12,43,71,126
+286	n	T P:0,2,67,74,77_79,91,93_95,99,101_110,122,137;M:18;-:1,3_10,14_16,32,34,38,46,48,52_54,56,62,63,66,68,82,83,98,100,111,115,120,123,125,129,132,133,136,138_144,151,152,165,168,172;X:12,13,43,71,126
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+41	n	G X:0;-:10_13,25,27_35,37_45,47_76,82,91,93,94,98,102,110,112_114,116_118,120_122,133,134,136,145,149,150,165,167,168,172;?:3,4,137,151
+159	n	T X:0;?:3,4,137,151
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+78	n	R D:1;?:6,80,132_136,153
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+81	n	Y T:1;?:6,80,132_136,153
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+84	n	S P:1,8,27_31,33_35,37_41,67,69,74,91,93,94,99_110,112_114,120_122,149,150;?:6,80,132_136,153
+85	n	I S:8,27_31,33_35,37_41,67,69,74,91,93,94,99_110,112_114,120_122,149,150;L:1;?:6,80,132_136,153
+86	n	S Q:8,27_31,33_35,37_41,67,69,74,91,93,94,99_110,112_114,120_122,149,150;K:1;?:6,80,132_136,153
+87	n	K R:8,27_31,33_35,37_41,67,69,74,91,93,94,99_110,112_114,120_122,149,150;D:1;?:6,80,132_136,153
+88	n	T H:8,27_31,33_35,37_41,67,69,74,91,93,94,99_110,112_114,120_122,149,150;?:6,80,132_136,153
+89	n	A K:1;-:8,27_31,33_35,37_41,67,69,74,91,93,94,99_110,112_114,120_122,149,150;?:6,80,132_136,153
+90	n	R A:8,27_31,33_35,37_41,67,69,74,91,93,94,99_110,112_114,120_122,149,150;?:6,80,132_136,153;G:1
+91	n	G S:8,27_31,33_35,37_41,67,69,74,91,93,94,99_110,112_114,120_122,149,150;C:1;?:6,80,132_136,153
+92	n	V A:1,138_148,154_172;?:6,80,132_136,153
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+97	n	R S:25,26,32,52;-:111;?:6,80,132_136,153
+98	n	T A:32,52;-:111;R:8,27_31,33_35,37_41,67,69,74,91,93,94,99_110,112_114,120_122,149,150;V:25,26;?:6,80,132_136,153
+99	n	V F:8,27_31,33_35,37_41,67,69,74,91,93,94,99_110,112_114,120_122,149,150;L:25,26,32,52,111;?:6,80,132_136,153
+100	n	G R:111;M:25,26,32,52;?:6,80,132_136,153;V:8,27_31,33_35,37_41,67,69,74,91,93,94,99_110,112_114,120_122,149,150
+101	n	V C:111;L:8,27_31,33_35,37_41,67,69,74,91,93,94,99_110,112_114,120_122,149,150;?:6,80,132_136,153
+102	n	D P:111;S:8,27_31,33_35,37_41,67,69,74,91,93,94,99_110,112_114,120_122,149,150;R:25,26,32,52;?:6,80,132_136,153
+103	n	G H:8,27_31,33_35,37_41,67,69,74,91,93,94,99_114,120_122,149,150;S:25,26,32,52;?:6,80,132_136,153
+104	n	A C:8,27_31,33_35,37_41,67,69,74,91,93,94,99_114,120_122,149,150;D:25,26,32,52;?:6,80,132_136,153
+105	n	K R:8,27_31,33_35,37_41,52,67,69,74,91,93,94,99_114,120_122,149,150;C:25,26,32;?:6,80,132_136,153
+106	n	V A:25,26,32,52;-:8,27_31,33_35,37_41,67,69,74,91,93,94,99_114,120_122,149,150;?:6,80,132_136,153
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+-30	p	G ?:0,5,7;T:124
+-3	p	G A:80;?:0,5,7
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+7	n	L X:0
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+56	n	F X:0;?:6,18,132
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+2	n	S -:14,17,18,33,34,47_49,71,72,83,87,88,96,97,100,112,122,124,132,133,153,166;G:5_7,23,77_80,92,95,101,103_106,108,109,126,127,135,138_144,146,151,152,154_163,169_171
+4	n	C R:5_7,23,77_80,92,95,101,103_106,108,109,126,127,135,138_144,146,151,152,154_163,169_171;-:14,17,18,33,34,47_49,71,72,83,87,88,96,97,100,112,122,124,132,133,153,166
+5	n	G A:5_7,23,77_80,92,95,101,103_106,108,109,126,127,135,138_144,146,151,152,154_163,169_171;-:14,17,18,33,34,47_49,71,72,83,87,88,96,97,100,112,122,124,132,133,153,166
+7	n	G -:14,17,18,33,34,47_49,71,72,83,87,88,96,97,100,112,122,124,132,133,153,166;T:5_7,23,77_80,92,95,101,103_106,108,109,126,127,135,138_144,146,151,152,154_163,169_171
+9	n	V -:14,17,18,33,34,47_49,71,72,83,87,88,96,97,100,112,122,124,132,133,153,166;L:5_7,23,77_80,92,95,101,103_106,108,109,126,127,135,138_144,146,151,152,154_163,169_171
+10	n	D R:5_7,23,77_80,92,95,101,103_106,108,109,126,127,133,135,138_144,146,151,152,154_163,166,169_171;-:14,17,18,33,34,47_49,71,72,83,87,88,96,97,100,112,122,124,132,153
+11	n	G A:5_7,23,77_80,92,95,101,103_106,108,109,126,127,133,135,138_144,146,151,152,154_163,166,169_171;-:14,17,18,33,34,47_49,71,72,83,87,88,96,97,100,112,122,124,132,153
+12	n	R -:14,17,18,33,34,47_49,71,72,83,87,88,96,97,100,112,122,124,132,153;G:5_7,23,77_80,92,95,101,103_106,108,109,126,127,133,135,138_144,146,151,152,154_163,166,167,169_171
+13	n	G X:29;R:5_7,23,77_80,92,95,101,103_106,108,109,126,127,133,135,138_144,146,151,152,154_163,166,169_171;-:14,17,18,33,34,47_49,71,72,83,87,88,96,97,100,112,122,124,132,153,167
+14	n	R P:5_7,23,77_80,92,95,101,103_106,108,109,126,127,133,135,138_144,146,151,152,154_163,166,169_171;-:14,17,18,33,34,47_49,71,72,83,87,88,96,97,100,112,122,124,132,153,167;X:29
+15	n	H -:14,17,18,33,34,47_49,71,72,83,87,88,96,97,100,112,122,124,132,153,167;X:29;P:5_7,23,77_80,92,95,101,103_106,108,109,126,127,133,135,138_144,146,151,152,154_163,166,169_171
+16	n	R X:29;-:14,17,18,33,34,47_49,71,72,83,87,88,96,97,100,112,122,124,132,153,167
+17	n	C A:5_7,23,77_80,92,95,101,103_106,108,109,126,127,133,135,138_144,146,151,152,154_163,166,169_171;X:29;-:14,17,18,33,34,47_49,71,72,83,87,88,96,97,100,112,122,124,132,153,167
+18	n	G H:5_7,23,77_80,92,95,101,103_106,108,109,126,127,133,135,138_144,146,151,152,154_163,166,169_171;-:14,17,18,33,34,47_49,71,72,83,87,88,96,97,100,112,122,124,132,153,167;X:29
+19	n	R S:145;-:14,17,18,33,34,47_49,71,72,83,87,88,96,97,100,112,122,124,132,153,167
+20	n	A P:145;-:2,9,14,17,18,33,34,47_49,71,72,83,87,88,96,97,100,112_114,116_119,122,124,132,153
+21	n	A P:5_7,23,77_80,92,95,101,103_106,108,109,126,127,133,135,138_146,151,152,154_163,166,167,169_171;-:14,17,18,33,34,47_49,71,72,83,87,88,96,97,100,112,122,124,132,153
+22	n	A P:5_7,23,77_80,92,95,101,103_106,108,109,126,127,133,135,138_146,151,152,154_163,166,167,169_171;-:14,17,18,33,34,47_49,71,72,83,87,88,96,97,100,112,122,124,132,153
+23	n	A R:5_7,23,77_80,92,95,101,103_106,108,109,126,127,133,135,138_146,151,152,154_163,166,167,169_171;-:14,17,18,33,34,47_49,71,72,83,87,88,96,97,100,112,122,124,132,153
+24	n	G A:2;-:14,17,18,33,34,47_49,71,72,83,87,88,96,97,100,112,122,124,132,153;L:5_7,23,77_80,92,95,101,103_106,108,109,126,127,133,135,138_146,151,152,154_163,166,167,169_171;V:9
+28	n	A -:14,17,18,47,48,83,87,88,96,97,100,112,124,132,153;L:2,5_7,9,23,33,34,49,71,72,77_80,92,95,101,103_106,108,109,122,126,127,133,135,138_146,151,152,154_163,166,167,169_171
+30	n	G -:2,5_7,9,14,17,18,23,33,34,47_49,71,72,77_80,83,87,88,92,95_97,100,101,103_106,108,109,112,122,124,126,127,132,133,135,138_146,151_163,166,167,169_171;D:115
+33	n	P A:2,5_7,9,23,33,34,49,71,72,77_80,92,95,101,103_106,108,109,122,126,127,133,135,138_146,151,152,154_163,166,167,169_171;-:14,17,18,47,48,83,87,88,96,97,100,112,124,132,153;L:131
+35	n	G -:14,17,18,47,48,83,87,88,96,97,100,112,124,132,153;D:2,5_7,9,23,33,34,49,71,72,77_80,92,95,101,103_106,108,109,122,126,127,133,135,138_146,151,152,154_163,166,167,169_171
+36	n	I -:14,17,18,47,48,83,87,97,100,124,132,153;L:2,5_7,9,23,33,34,49,71,72,77_80,88,92,95,96,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151,152,154_163,166,167,169_171
+37	n	G A:115;-:14,17,18,47,48,83,87,97,100,124,132,153
+38	n	C A:2,5_7,9,23,33,34,49,71,72,77_80,88,92,95,96,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151,152,154_163,166,167,169_171;-:14,17,18,47,48,83,87,97,100,124,132,153
+39	n	R -:14,17,18,47,48,83,87,97,100,124,132,153;D:2,5_7,9,23,33,34,49,71,72,77_80,88,92,95,96,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151,152,154_163,166,167,169_171
+41	n	Q -:14,17,18,47,48,83,87,97,100,124,132,153;N:2,5_7,9,23,33,34,49,71,72,77_80,88,92,95,96,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151,152,154_163,166,167,169_171
+42	n	H I:2,5_7,9,23,33,34,49,71,72,77_80,88,92,95,96,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151,152,154_163,166,167,169_171;-:14,17,18,47,48,83,87,97,100,124,132,153
+43	n	R A:2,5_7,9,23,33,34,49,71,72,77_80,88,92,95,96,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151,152,154_163,166,167,169_171;-:14,17,18,47,48,83,87,97,100,124,132,153
+44	n	L R:131;-:14,17,18,47,48,83,87,97,100,124,132,153;W:2,5_7,9,23,33,34,49,71,72,77_80,88,92,95,96,101,103_106,108,109,112,122,126,127,133,135,138_146,151,152,154_163,166,167,169_171
+45	n	V S:2,5_7,9,23,33,34,49,71,72,77_80,88,92,95,96,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151,152,154_163,166,167,169_171;-:14,17,18,47,48,83,87,97,100,124,132,153
+46	n	E -:14,17,18,47,48,83,87,97,100,124,132,153;R:2,5_7,9,23,33,34,49,71,72,77_80,88,92,95,96,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151,152,154_163,166,167,169_171
+47	n	A P:2,5_7,9,23,33,34,49,71,72,77_80,88,92,95,96,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151,152,154_163,166,167,169_171;-:14,17,18,47,48,83,87,97,100,124,132,153
+48	n	A P:2,5_7,9,23,33,34,49,71,72,77_80,88,92,95,96,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151,152,154_163,166,167,169_171;-:14,17,18,47,48,83,87,97,100,124,132,153
+49	n	G -:14,17,18,47,48,83,87,97,100,124,132,153;D:2,5_7,9,23,33,34,49,71,72,77_80,88,92,95,96,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151,152,154_163,166,167,169_171
+50	n	F -:14,17,18,47,48,87,97,100,124,132,153;L:2,5_7,9,23,33,34,49,71,72,77_80,83,88,92,95,96,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151,152,154_163,166,167,169_171
+51	n	A P:2,5_7,9,23,33,34,49,71,72,77_80,83,88,92,95,96,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151,152,154_163,166,167,169_171;-:14,17,18,47,48,87,97,100,124,132,153
+52	n	A P:2,5_7,9,23,33,34,49,71,72,77_80,83,88,92,95,96,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151,152,154_163,166,167,169_171;-:14,17,18,47,48,87,97,100,124,132,153
+54	n	H -:14,17,18,47,48,87,97,100,124,132,153;T:2,5_7,9,23,33,34,49,71,72,77_80,83,88,92,95,96,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151,152,154_163,166,167,169_171
+55	n	P A:2,5_7,9,14,23,33,34,49,71,72,77_80,83,88,92,95_97,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151,152,154_163,166,167,169_171;-:17,18,47,48,87,100,124,132,153
+57	n	C R:2,5_7,9,14,23,33,34,49,71,72,77_80,83,88,92,95_97,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151,152,154_163,166,167,169_171;-:17,18,47,48,87,100,124,132,153
+58	n	A S:2,5_7,9,14,23,33,34,49,71,72,77_80,83,88,92,95_97,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151,152,154_163,166,167,169_171;-:17,18,47,48,87,100,124,132,153
+59	n	D A:2,5_7,9,14,23,33,34,49,71,72,77_80,83,88,92,95_97,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151,152,154_163,166,167,169_171;-:17,18,47,48,87,100,124,132,153
+60	n	R A:2,5_7,9,14,23,33,34,49,71,72,77_80,83,88,92,95_97,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151,152,154_163,166,167,169_171;-:17,18,47,48,87,100,124,132,153
+61	n	C -:17,18,47,48,87,100,124,132,153;S:2,5_7,9,14,23,33,34,49,71,72,77_80,83,88,92,95_97,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151,152,154_163,166,167,169_171
+63	n	T A:2,5_7,9,14,23,33,34,49,71,72,77_80,83,88,92,95_97,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151,152,154_163,166,167,169_171;-:17,18,47,48,87,100,124,132,153
+65	n	V -:17,18,47,48,87,100,124,132,153;L:2,5_7,9,14,23,33,34,49,71,72,77_80,83,88,92,95_97,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151,152,154_163,166,167,169_171
+66	n	G A:2,5_7,9,14,23,33,34,49,71,72,77_80,83,88,92,95_97,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151,152,154_163,166,167,169_171;-:17,18,47,48,87,100,124,132,153
+67	n	T -:17,18,47,48,87,100,124,132,153;D:2,5_7,9,14,23,33,34,49,71,72,77_80,83,88,92,95_97,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151,152,154_163,166,167,169_171
+68	n	A R:112;-:17,18,47,48,87,100,124,132,153;G:2,5_7,9,14,23,33,34,49,71,72,77_80,83,88,92,95_97,101,103_106,108,109,122,126,127,131,133,135,138_146,151,152,154_163,166,167,169_171
+69	n	F I:5_7,9,14,23,33,34,49,71,72,77_80,83,87,88,92,95_97,100,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151_163,166,167,169_171;-:2,17,18,47,48,124,132
+70	n	G S:2;-:17,18,47,48,124,132;V:5_7,9,14,23,33,34,49,71,72,77_80,83,87,88,92,95_97,100,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151_163,166,167,169_171
+71	n	G -:17,18,47,48,124,132;R:2;E:5_7,9,14,23,33,34,49,71,72,77_80,83,87,88,92,95_97,100,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151_163,166,167,169_171
+72	n	F -:17,18,47,48,124,132;M:2;L:5_7,9,14,23,33,34,49,71,72,77_80,83,87,88,92,95_97,100,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151_163,166,167,169_171
+73	n	G A:2,5_7,9,14,23,33,34,49,71,72,77_80,83,87,88,92,95_97,100,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151_163,166,167,169_171;-:17,18,47,48,124,132
+74	n	R -:17,18,47,48,124,132;V:2,5_7,9,14,23,33,34,49,71,72,77_80,83,87,88,92,95_97,100,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151_163,166,167,169_171
+75	n	G Q:2,5_7,9,14,23,33,34,49,71,72,77_80,83,87,88,92,95_97,100,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151_163,166,167,169_171;-:17,18,47,48,124,132
+76	n	A -:17,18,47,48,124,132;V:2,5_7,9,14,23,33,34,49,71,72,77_80,83,87,88,92,95_97,100,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151_163,166,167,169_171
+78	n	R H:2,5_7,9,14,23,33,34,49,71,72,77_80,83,87,88,92,95_97,100,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151_163,166,167,169_171;-:17,18,47,48,124,132
+79	n	W S:113_119;-:17,18,47,48,124,132;D:2,5_7,9,14,23,33,34,49,71,72,77_80,83,87,88,92,95_97,100,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151_163,166,167,169_171
+80	n	H A:2,5_7,9,14,23,33,34,49,71,72,77_80,83,87,88,92,95_97,100,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151_163,166,167,169_171;-:17,18,47,48,124,132
+81	n	C A:2,5_7,9,14,23,33,34,49,71,72,77_80,83,87,88,92,95_97,100,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151_163,166,167,169_171;-:17,18,47,48,124,132
+82	n	R Q:2,5_7,9,14,23,33,34,49,71,72,77_80,83,87,88,92,95_97,100,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151_163,166,167,169_171;-:17,18,47,48,124,132
+83	n	T A:2,5_7,9,14,23,33,34,49,71,72,77_80,83,87,88,92,95_97,100,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151_163,166,167,169_171;-:17,18,47,48,124,132
+84	n	G A:2,5_7,9,14,23,33,34,49,71,72,77_80,83,87,88,92,95_97,100,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151_163,166,167,169_171;-:17,18,47,48,124,132
+85	n	R A:2,5_7,9,14,23,33,34,49,71,72,77_80,83,87,88,92,95_97,100,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151_163,166,167,169_171;-:17,18,47,48,124,132
+86	n	P A:2,5_7,9,14,23,33,34,49,71,72,77_80,83,87,88,92,95_97,100,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151_163,166,167,169_171;-:17,18,47,48,124,132
+87	n	G A:2,5_7,9,14,23,33,34,49,71,72,77_80,83,87,88,92,95_97,100,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151_163,166,167,169_171;-:17,18,47,48,124,132
+88	n	S A:2,5_7,9,14,23,33,34,49,71,72,77_80,83,87,88,92,95_97,100,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151_163,166,167,169_171;-:17,18,47,48,124,132
+89	n	A -:17,18,47,48,124,132;E:2,5_7,9,14,23,33,34,49,71,72,77_80,83,87,88,92,95_97,100,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151_163,167,169_171
+96	n	R A:2,5_7,9,14,23,33,34,49,71,72,77_80,83,87,88,92,95_97,100,101,103_106,108,109,112,122,126,127,131,133,135,138_146,151_163,166,167,169_171;-:17,18,47,48,124,132
+98	n	G -:17;V:2,5_7,9,14,18,23,33,34,47_49,71,72,77_80,83,87,88,92,95_97,100,101,103_106,108,109,112,122,124,126,127,131_133,135,138_146,151_163,166,167,169_171
+99	n	R -:17;L:2,5_7,9,14,18,23,33,34,47_49,71,72,77_80,83,87,88,92,95_97,100,101,103_106,108,109,112,122,124,126,127,131_133,135,138_146,151_163,166,167,169_171
+100	n	R I:2,5_7,9,14,17,18,23,33,34,47_49,71,72,77_80,83,87,88,92,95_97,100,101,103_106,108,109,112,122,124,126,127,131_133,135,138_146,151_163,166,167,169_171
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+1469	n	F N:5,7,9,10,20,23,25,26,46,77_79,92,95_97,103_106,108,109,111,135,137_144,146,152_163,165,169_171;-:0,128;?:151
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+1471	n	Q R:5,7,9,10,20,23,25,26,46,77_79,92,95_97,103_106,108,109,111,135,137_144,146,152_163,165,169_171;-:0,128;?:151
+1482	n	T R:128;-:0,5,7,9,10,20,23,25,26,46,77_79,92,95_97,103_106,108,109,111,135,137_144,146,152_163,165,169_171;?:151
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+1484	n	Q K:128;-:0,5,7,9,10,20,23,25,26,46,77_79,92,95_97,103_106,108,109,111,135,137_144,146,152_163,165,169_171;?:151
+1485	n	N I:128;-:0,5,7,9,10,20,23,25,26,46,77_79,92,95_97,103_106,108,109,111,135,137_144,146,152_163,165,169_171;?:151
+1486	n	Q -:0;D:5,7,9,10,20,23,25,26,46,77_79,92,95_97,103_106,108,109,111,135,137_144,146,152_163,165,169_171;?:151;N:128
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+>MRA_1368	1394	x
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+1620	n	E -:1;T:5,77_79,97,99_101,103_110,112,122;?:22
+1621	n	D -:1;?:22;L:5,77_79,97,99_101,103_110,112,122
+1622	n	S -:1;T:5,77_79,97,99_101,103_110,112,122;?:22
+1623	n	D R:5,77_79,97,99_101,103_110,112,122;-:1;?:22
+1624	n	A -:1;?:22;V:5,77_79,97,99_101,103_110,112,122
+1625	n	G -:1;D:5,77_79,97,99_101,103_110,112,122;?:22
+1626	n	G R:5,77_79,97,99_101,103_110,112,122;-:1;?:22
+>Rv0108c	2329	x	131104	130895	-
+12	n	P X:0;?:6,22,125,163
+29	n	K ?:6,22,125,163;N:35
+>Rv0109	649	PE_PGRS1	131382	132872	+
+3	n	L -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132;F:85
+4	n	L -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132;V:85
+5	n	I -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132;N:85
+6	n	T -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132;V:85
+7	n	S A:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+9	n	A Q:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+10	n	T -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132;L:85
+12	n	A S:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+13	n	A -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;T:85;?:2,8,22,47,48,80,88,90,111,112,125,132
+16	n	T A:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+17	n	H -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;D:85;?:2,8,22,47,48,80,88,90,111,112,125,132
+18	n	L A:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+20	n	G R:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+25	n	L I:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+26	n	S -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132;N:85
+28	n	A X:0;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+30	n	A -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;T:85;?:2,8,22,47,48,80,88,90,111,112,125,132
+35	n	P -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;T:85;?:2,8,22,47,48,80,88,90,111,112,125,132
+37	n	T Q:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+38	n	A -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132;V:85
+40	n	S A:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+43	n	G A:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+44	n	A Q:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+49	n	V -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;T:85;?:2,8,22,47,48,80,88,90,111,112,125,132
+50	n	L A:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+56	n	E -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;G:85;?:2,8,22,47,48,80,88,90,111,112,125,132
+57	n	A S:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+58	n	Y H:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+59	n	A -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;G:85;?:2,8,22,47,48,80,88,90,111,112,125,132
+61	n	E -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132;H:85
+65	n	L I:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+69	n	A -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132;V:85
+70	n	L A:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+72	n	F Y:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+73	n	H Q:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+74	n	D Q:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+75	n	Q R:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+78	n	Q -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;L:85;?:2,8,22,47,48,80,88,90,111,112,125,132
+81	n	N S:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+82	n	M Q:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+83	n	G A:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+84	n	A -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;G:85;?:2,8,22,47,48,80,88,90,111,112,125,132
+85	n	V S:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+86	n	C -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;T:85;?:2,8,22,47,48,80,88,90,111,112,125,132
+89	n	A -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132;V:85
+92	n	T A:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+94	n	N S:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+110	n	T -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132;D:85
+111	n	V A:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+112	n	V I:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+116	n	T -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132;V:85
+118	n	A S:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+120	n	L -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132;T:85
+124	n	I -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;L:85;?:2,8,22,47,48,80,88,90,111,112,125,132
+127	n	N -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;D:85;?:2,8,22,47,48,80,88,90,111,112,125,132
+132	n	L I:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+133	n	P -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;D:85;?:2,8,22,47,48,80,88,90,111,112,125,132
+134	n	N -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;G:85;?:2,8,22,47,48,80,88,90,111,112,125,132
+138	n	D A:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+141	n	P -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_130,137,146,152,159,167,169;?:2,8,22,47,48,80,88,90,111,112,125,132;N:85
+144	n	L W:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_129,137,146,152,159,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+146	n	F -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_129,137,146,152,159,169;W:85;?:2,8,22,47,48,80,88,90,111,112,125,132
+156	n	G A:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_129,137,146,152,159,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+157	n	V X:0;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_129,137,146,152,159,169;P:85;?:2,8,22,47,48,80,88,90,111,112,125,132
+158	n	D G:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_129,137,146,152,159,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+163	n	N A:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_129,137,146,152,159,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+166	n	A X:0;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_129,137,146,152,159,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+167	n	A X:0;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_129,137,146,152,159,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+168	n	G X:0;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_129,137,146,152,159,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+169	n	L X:0;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_129,137,146,152,159,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+175	n	S A:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_129,137,146,152,159,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+178	n	V A:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_129,137,146,152,159,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+181	n	P Q:85;-:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_129,137,146,152,159,169;?:2,8,22,47,48,80,88,90,111,112,125,132
+183	n	I -:5,7,10,14_16,18,26,33,42,49,72,83,84,86,89,92,95,97,98,100,102,110,116,122,126_129,137,146,152,159,169;L:85;?:2,8,22,47,48,80,88,90,111,112,125,132
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+203	n	- A:0,2,9,17,25,27,28,30,32,37_39,46,52_54,56_58,66,69,70,74,75,77_79,81,82,93,94,99,101_109,113,114,117,119,120,130,136,139,141_144,147_151,154_158,160,161,164_166,168,170_172;I:20,21,23;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+206	n	- A:20,21,23;H:0,2,9,17,25,27,28,30,32,37_39,46,52_54,56_58,66,69,70,74,75,77_79,81,82,93,94,99,101_109,113,114,117,119,120,130,136,139,141_144,147_151,154_158,160,161,164_166,168,170_172;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+209	n	- A:0,2,9,17,25,27,28,30,32,37_39,46,52_54,56_58,66,69,70,74,75,77_79,81,82,93,94,99,101_109,113,114,117,119,120,130,136,139,141_144,147_151,154_158,160,161,164_166,168,170_172;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163;V:20,21,23
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+216	n	- I:20,21,23;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163;W:0,2,9,17,25,27,28,30,32,37_39,46,52_54,56_58,66,69,70,74,75,77_79,81,82,93,94,99,101_109,113,114,117,119,120,130,136,139,141_144,147_151,154_158,160,161,164_166,168,170_172
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+221	n	- A:20,21,23;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163;G:0,2,9,17,25,27,28,30,32,37_39,46,52_54,56_58,66,69,70,74,75,77_79,81,82,93,94,99,101_109,113,114,117,119,120,130,136,139,141_144,147_151,154_158,160,161,164_166,168,170_172
+224	n	- A:20,21,23;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163;N:0,2,9,17,25,27,28,30,32,37_39,46,52_54,56_58,66,69,70,74,75,77_79,81,82,93,94,99,101_109,113,114,117,119,120,130,136,139,141_144,147_151,154_158,160,161,164_166,168,170_172
+227	n	- D:20,21,23;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163;N:0,2,9,17,25,27,28,30,32,37_39,46,52_54,56_58,66,69,70,74,75,77_79,81,82,93,94,99,101_109,113,114,117,119,120,130,136,139,141_144,147_151,154_158,160,161,164_166,168,170_172
+228	n	- R:20,21,23;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163;G:0,2,9,17,25,27,28,30,32,37_39,46,52_54,56_58,66,69,70,74,75,77_79,81,82,93,94,99,101_109,113,114,117,119,120,130,136,139,141_144,147_151,154_158,160,161,164_166,168,170_172
+230	n	- G:20,21,23;D:0,2,9,17,25,27,28,30,32,37_39,46,52_54,56_58,66,69,70,74,75,77_79,81,82,93,94,99,101_109,113,114,117,119,120,130,136,139,141_144,147_151,154_158,160,161,164_166,168,170_172;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+234	n	V M:131;-:1,3,4,6,7,10_13,15,19,26,29,31,33_36,40_44,47,50,51,55,59_65,67,68,72,73,76,86_88,90,91,96,97,100,112,116,118,121,122,125,127,132_135,137,138,140,146,153,167;L:14,16,18,20,21,23,24,45,110,115,126,129,145,152,159,162,169;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
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+237	n	G R:14,16,18,20,21,23,24,45,110,115,126,129,131,145,152,159,162,169;-:1,3,4,6,7,10_13,15,19,26,29,31,33_36,40_44,47,50,51,55,59_65,67,68,72,73,76,86_88,90,91,96,97,100,112,116,118,121,122,125,127,132_135,137,138,140,146,153,167;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+239	n	G -:1,3,4,6,7,10_13,15,19,26,29,31,33_36,40_44,47,50,51,55,59_65,67,68,72,73,76,86_88,90,91,96,97,100,112,116,118,121,122,125,127,132_135,137,138,140,146,153,167;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163;D:131
+241	n	L -:1,3,4,6,7,10,11,13,15,19,26,29,31,33,35,40,42,47,50,51,61_65,72,73,76,86_88,90,91,96,97,100,112,116,118,122,125,127,132_135,137,138,140,146,153,167;M:12,34,36,41,43,44,55,59,60,67,68,121;Q:131;P:14,16,18,20,21,23,24,45,110,115,126,129,145,152,159,162,169;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+242	n	G S:131;-:1,3,4,6,7,10,11,13,15,19,26,29,31,33,35,40,42,47,50,51,61_65,72,73,76,86_88,90,91,96,97,100,112,116,118,122,125,127,132_135,137,138,140,146,153,167;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+243	n	G A:12,34,36,41,43,44,55,59,60,67,68,121;-:1,3,4,6,7,10,11,13,15,19,26,29,31,33,35,40,42,47,50,51,61_65,72,73,76,86_88,90,91,96,97,100,112,116,118,122,125,127,132_135,137,138,140,146,153,167;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+244	n	A -:1,3,4,6,7,10,11,13,15,19,26,29,31,33,35,40,42,47,50,51,61_65,72,73,76,86_88,90,91,96,97,100,112,116,118,122,125,127,132_135,137,138,140,146,153,167;T:131;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163;N:14,16,18,20,21,23,24,45,110,115,126,129,145,152,159,162,169
+246	n	G A:131;-:1,3,4,6,7,10,11,13,15,19,26,29,31,33,35,40,42,47,50,51,61_65,72,73,76,86_88,90,91,96,97,100,112,116,118,122,125,127,132_135,137,138,140,146,153,167;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+247	n	G A:12,14,16,18,20,21,23,24,34,36,41,43_45,55,59,60,67,68,110,115,121,126,129,145,152,159,162,169;-:1,3,4,6,7,10,11,13,15,19,26,29,31,33,35,40,42,47,50,51,61_65,72,73,76,86_88,90,91,96,97,100,112,116,118,122,125,127,132_135,137,138,140,146,153,167;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163;L:131
+248	n	G A:131;-:1,3,4,6,7,10,11,13,15,19,26,29,31,33,35,40,42,47,50,51,61_65,72,73,76,86_88,90,91,96,97,100,112,116,118,122,125,127,132_135,137,138,140,146,153,167;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+249	n	G A:131;-:1,3,4,6,7,10,11,13,15,19,26,29,31,33,35,40,42,47,50,51,61_65,72,73,76,86_88,90,91,96,97,100,112,116,118,122,125,127,132_135,137,138,140,146,153,167;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+250	n	W Q:14,16,18,20,21,23,24,45,110,115,126,129,131,145,152,159,162,169;-:1,3,4,6,7,10_13,15,19,26,29,31,33_36,40_44,47,50,51,55,59_65,67,68,72,73,76,86_88,90,91,96,97,100,112,116,118,121,122,125,127,132_135,137,138,140,146,153,167;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+252	n	Y I:12,34,36,41,43,44,55,59,60,67,68,121;-:1,3,4,6,7,10,11,13,15,19,26,29,31,33,35,40,42,47,50,51,61_65,72,73,76,86_88,90,91,96,97,100,112,116,118,122,125,127,132_135,137,138,140,146,153,167;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+254	n	D I:131;-:1,3,4,6,7,10,11,13,15,19,26,29,31,33,35,40,42,47,50,51,61_65,72,73,76,86_88,90,91,96,97,100,112,116,118,122,125,127,132_135,137,138,140,146,153,167;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163;N:12,14,16,18,20,21,23,24,34,36,41,43_45,55,59,60,67,68,110,115,121,126,129,145,152,159,162,169
+256	n	G X:21;-:1,3,4,6,7,10,11,13,15,19,26,29,31,33,35,40,42,47,50,51,61_65,72,73,76,86_88,90,91,96,97,100,112,116,118,122,125,127,132_135,137,138,140,146,153,167;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+257	n	A X:21,126;-:1,3,4,6,7,10,11,13,15,19,26,29,31,33,35,40,42,47,50,51,61_65,72,73,76,86_88,90,91,96,97,100,112,116,118,122,125,127,132_135,137,138,140,146,153,167;D:14,16,18,20,23,24,45,110,115,129,131,145,152,159,162,169;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+258	n	G X:21;-:1,3,4,6,7,10,11,13_16,19,26,29,31,33,35,40,42,45,47,50,51,61_65,72,73,76,86_88,90,91,96,97,100,110,112,116,118,122,125_127,132_135,137,138,140,146,153,159,167;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+259	n	G X:21;-:1,3,4,6,7,10,11,13_16,19,26,29,31,33,35,40,42,45,47,50,51,61_65,72,73,76,86_88,90,91,96,97,100,110,112,116,118,122,125_127,132_135,137,138,140,146,153,159,167;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+260	n	H D:12,34,36,41,43,44,55,59,60,67,68,121;-:1,3,4,6,7,10,11,13_16,19,26,29,31,33,35,40,42,45,47,50,51,61_65,72,73,76,86_88,90,91,96,97,100,110,112,116,118,122,125_127,132_135,137,138,140,146,153,159,167;P:18,20,23,24,115,129,131,145,152,162,169;X:21;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+261	n	G X:21;-:1,3,4,6,7,10,11,13_16,19,26,29,31,33,35,40,42,45,47,50,51,61_65,72,73,76,86_88,90,91,96,97,100,110,112,116,118,122,125_127,132_135,137,138,140,146,153,159,167;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+262	n	G X:21;-:1,3,4,6,7,10_16,19,26,29,31,33_36,40_45,47,50,51,55,59_65,67,68,72,73,76,86_88,90,91,96,97,100,110,112,116,118,121,122,125_127,132_135,137,138,140,146,153,159,167;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+265	n	A -:1,3,4,6,7,10_16,19,26,29,31,33_36,40_45,47,50,51,55,59_65,67,68,72,73,76,86_88,90,91,96,97,100,110,112,116,118,121,122,125_127,132_135,137,138,140,146,153,159,167;G:18,20,21,23,24,115,129,131,145,152,162,169;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+266	n	I Q:18,20,21,23,24,115,129,131,145,152,162,169;-:1,3,4,6,7,10_16,19,26,29,31,33_36,40_45,47,50,51,55,59_65,67,68,72,73,76,86_88,90,91,96,97,100,110,112,116,118,121,122,125_127,132_135,137,138,140,146,153,159,167;G:9;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+267	n	G A:18,20,21,23,24,115,129,131,145,152,162,169;-:1,3,4,6,7,10_16,19,26,29,31,33_36,40_45,47,50,51,55,59_65,67,68,72,73,76,86_88,90,91,96,97,100,110,112,116,118,121,122,125_127,132_135,137,138,140,146,153,159,167;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+268	n	L G:9;-:1,3,4,6,7,10_16,19,26,29,31,33_36,40_45,47,50,51,55,59_65,67,68,72,73,76,86_88,90,91,96,97,100,110,112,116,118,121,122,125_127,132_135,137,138,140,146,153,159,167;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163;F:18,20,21,23,24,115,129,131,145,152,162,169
+269	n	- A:9;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163;G:0,2,17,25,27,28,30,32,37_39,46,52_54,56_58,66,69,70,74,75,77_79,81,82,93,94,99,101_109,113,114,117,119,120,130,136,139,141_144,147_151,154_158,160,161,164_166,168,170_172
+333	n	V A:18,20,21,23,24,115,129,131,145,152,162,169;-:1,3,4,6,7,10,11,13_16,19,26,29,31,33,35,40,42,45,47,50,51,61_65,72,73,76,86_88,90,91,96,97,100,110,112,116,118,122,125_127,132_135,137,138,140,146,153,159,167;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+334	n	G -:1,3,4,6,7,10,11,13_16,19,26,29,31,33,35,40,42,45,47,50,51,61_65,72,73,76,86_88,90,91,96,97,100,110,112,116,118,122,125_127,132_135,137,138,140,146,153,159,167;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163;N:18,20,21,23,24,115,129,131,145,152,162,169
+335	n	A -:1,3,4,6,7,10,11,13_16,19,26,29,31,33,35,40,42,45,47,50,51,61_65,72,73,76,86_88,90,91,96,97,100,110,112,116,118,122,125_127,132_135,137,138,140,146,153,159,167;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163;N:18,20,21,23,24,115,129,131,145,152,162,169
+336	n	S I:18,20,21,23,24,115,129,131,145,152,162,169;-:1,3,4,6,7,10,11,13_16,19,26,29,31,33,35,40,42,45,47,50,51,61_65,72,73,76,86_88,90,91,96,97,100,110,112,116,118,122,125_127,132_135,137,138,140,146,153,159,167;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+339	n	V -:1,3,4,6,7,10,11,13_16,19,26,29,31,33,35,40,42,45,47,50,51,61_65,72,73,76,86_88,90,91,96,97,100,110,112,116,118,122,125_127,132_135,137,138,140,146,153,159,167;T:18,20,21,23,24,115,129,131,145,152,162,169;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+340	n	A -:1,3,4,6,7,10,11,13_16,19,26,29,31,33,35,40,42,45,47,50,51,61_65,72,73,76,86_88,90,91,96,97,100,110,112,116,118,122,125_127,132_135,137,138,140,146,153,159,167;G:18,20,21,23,24,115,129,131,145,152,162,169;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+342	n	V A:18,20,21,23,24,115,129,131,145,152,162,169;-:1,3,4,6,7,10,11,13_16,19,26,29,31,33,35,40,42,45,47,50,51,61_65,72,73,76,86_88,90,91,96,97,100,110,112,116,118,122,125_127,132_135,137,138,140,146,153,159,167;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+343	n	G X:9;-:1,3,4,6,7,10,11,13_16,19,26,29,31,33,35,40,42,45,47,50,51,61_65,72,73,76,86_88,90,91,96,97,100,110,112,116,118,122,125_127,132_135,137,138,140,146,153,159,167;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+345	n	A -:1,3,4,6,7,10,11,13_16,19,26,29,31,33,35,40,42,45,47,50,51,61_65,72,73,76,86_88,90,91,96,97,100,110,112,116,118,122,125_127,132_135,137,138,140,146,153,159,167;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163;N:18,20,21,23,24,115,129,131,145,152,162,169
+348	n	N P:18,20,21,23,24,115,129,131,137,145,152,162,167,169;-:1,3,4,6,7,10,11,13_16,19,26,29,31,33,35,40,42,45,47,50,51,61_65,72,73,76,86_88,90,91,96,97,100,110,112,116,118,122,125_127,132_135,138,140,146,153,159;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+350	n	M I:18,20,21,23,24,115,129,131,137,145,152,162,167,169;-:1,3,4,6,7,10,11,13_16,19,26,29,31,33,35,42,45,47,51,61_63,72,76,86_88,90,91,96,97,100,110,112,116,122,125_127,132_135,138,140,146,153,159;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+352	n	I S:18,20,21,23,24,115,129,131,137,145,152,162,167,169;-:1,3,4,6,7,10,11,13_16,19,26,29,31,33,35,42,45,47,51,61_63,72,76,86_88,90,91,96,97,100,110,112,116,122,125_127,132_135,138,140,146,153,159;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+354	n	H -:1,3,4,6,7,10,11,13_16,19,26,29,31,33,35,42,45,47,51,61_63,72,76,86_88,90,91,96,97,100,110,112,116,122,125_127,132_135,138,140,146,153,159;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163;N:18,20,21,23,24,115,129,131,137,145,152,162,167,169
+357	n	A -:1,3,4,6,7,10,11,13_16,19,26,29,31,33,35,42,45,47,51,61_63,72,76,86_88,90,91,96,97,100,110,112,116,122,125_127,132_135,138,140,146,153,159;T:149;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163;N:18,20,21,23,24,115,129,131,137,145,152,162,167,169
+360	n	A C:2;-:1,3,4,6,7,10,11,13_16,19,26,29,31,33,35,42,45,47,51,61_63,72,76,86_88,90,91,96,97,100,110,112,116,122,125_127,132_135,138,140,146,153,159;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+361	n	G A:2;-:1,3,4,6,7,10,11,13_16,19,26,29,31,33,35,42,45,47,51,61_63,72,76,86_88,90,91,96,97,100,110,112,116,122,125_127,132_135,138,140,146,153,159;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+365	n	S A:2;-:1,3,4,6,7,10,11,13_16,18_21,23,24,26,29,31,33,35,42,45,47,51,61_63,72,76,86_88,90,91,96,97,100,110,112,115,116,122,125_127,129,131_135,137,138,140,145,146,152,153,159,162,167,169;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+366	n	F V:2;-:1,3,4,6,7,10,11,13_16,18_21,23,24,26,29,31,33,35,42,45,47,51,61_63,72,76,86_88,90,91,96,97,100,110,112,115,116,122,125_127,129,131_135,137,138,140,145,146,152,153,159,162,167,169;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+367	n	A -:1,3,4,6,7,10,11,13_16,18_21,23,24,26,29,31,33,35,42,45,47,51,61_63,72,76,86_88,90,91,96,97,100,110,112,115,116,122,125_127,129,131_135,137,138,140,145,146,152,153,159,162,167,169;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163;V:101
+368	n	N Q:2;-:1,3,4,6,7,10,11,13_16,18_21,23,24,26,29,31,33,35,42,45,47,51,61_63,72,76,86_88,90,91,96,97,100,110,112,115,116,122,125_127,129,131_135,137,138,140,145,146,152,153,159,162,167,169;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+371	n	A S:2;-:1,3,4,6,7,10,11,13_16,19,26,29,31,33,35,42,45,47,51,61_63,72,76,86_88,90,91,96,97,100,110,112,116,122,125_127,132_135,137,138,140,145,146,152,153,159,162,167,169;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+372	n	G C:2;-:1,3,4,6,7,10,11,13_16,19,26,29,31,33,35,42,45,47,51,61_63,72,76,86_88,90,91,96,97,100,110,112,116,122,125_127,132_135,137,138,140,145,146,152,153,159,162,167,169;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+437	n	P A:18,20,21,23,24,115,129,131,137,145,152,162,167,169;-:1,3,4,6,7,10,11,13_16,19,26,29,31,33,35,42,45,47,51,61_63,72,76,86_88,90,91,96,97,100,110,112,116,122,125_127,132_135,138,140,146,153,159;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+440	n	N V:6,10,11,18_21,23,24,26,62,86,88,115,125,127,129,131,133_135,137,138,145,152,153,162,167,169;-:1,3,4,7,13_16,29,31,33,35,42,45,47,51,61,63,72,76,87,90,91,96,97,100,110,112,116,122,126,132,140,146,159;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+441	n	G X:50;-:1,3,4,7,13_16,29,31,33,35,42,45,47,51,61,63,72,76,87,90,91,96,97,100,110,112,116,122,126,132,140,146,159;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+442	n	G X:50;-:1,3,4,7,13_16,29,31,33,35,42,45,47,51,61,63,72,76,87,90,91,96,97,100,110,112,116,122,126,132,140,146,159;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+443	n	A X:50;-:1,3,4,7,13_16,29,31,33,35,42,45,47,51,61,63,72,76,87,90,91,96,97,100,110,112,116,122,126,132,140,146,159;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+444	n	G X:50;-:1,3,4,7,13_16,29,31,33,35,42,45,47,51,61,63,72,76,87,90,91,96,97,100,110,112,116,122,126,132,140,146,159;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+445	n	G X:50;-:1,3,4,6,7,10,11,13_16,18_21,23,24,26,29,31,33,35,42,45,47,51,61_63,72,76,86_88,90,91,96,97,100,110,112,115,116,122,125_127,129,131_135,137,138,140,145,146,152,153,159,162,167,169;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+446	n	Q X:50;-:1,3,4,6,7,10,11,13_16,18_21,23,24,26,29,31,33,35,42,45,47,51,61_63,72,76,86_88,90,91,96,97,100,110,112,115,116,122,125_127,129,131_135,137,138,140,145,146,152,153,159,162,167,169;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+447	n	L X:40,50;-:1,3,4,6,7,10,11,13_16,18_21,23,24,26,29,31,33,35,42,45,47,51,61_63,72,76,86_88,90,91,96,97,100,110,112,115,116,122,125_127,129,131_135,137,138,140,145,146,152,153,159,162,167,169;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+448	n	Y X:40,50;-:1,3,4,6,7,10,11,13_16,18_21,23,24,26,29,31,33,35,42,45,47,51,61_63,72,76,86_88,90,91,96,97,100,110,112,115,116,122,125_127,129,131_135,137,138,140,145,146,152,153,159,162,167,169;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+449	n	G X:40,50;-:1,3,4,6,7,10,11,13_16,18_21,23,24,26,29,31,33,35,42,45,47,51,61_63,72,76,86_88,90,91,96,97,100,110,112,115,116,122,125_127,129,131_135,137,138,140,145,146,152,153,159,162,167,169;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+450	n	N X:40;-:1,3,4,6,7,10,11,13_16,18_21,23,24,26,29,31,33,35,42,45,47,51,61_63,72,76,86_88,90,91,96,97,100,110,112,115,116,122,125_127,129,131_135,137,138,140,145,146,152,153,159,162,167,169;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+451	n	G X:40;-:1,3,4,6,7,10,11,13_16,18_21,23,24,26,29,31,33,35,42,45,47,51,61_63,72,76,86_88,90,91,96,97,100,110,112,115,116,122,125_127,129,131_135,137,138,140,145,146,152,153,159,162,167,169;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+452	n	G A:30,41,44,50,54,59,67,114,120,121,139,141_144;-:1,3,4,6,7,10,11,13_16,18_21,23,24,26,29,31,33,35,42,45,47,51,61_63,72,76,86_88,90,91,96,97,100,110,112,115,116,122,125_127,129,131_135,137,138,140,145,146,152,153,159,162,167,169;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+453	n	D G:30,34,40,41,44,50,54,59,64,67,74,75,114,120,121,139,141_144,158;-:1,3,4,6,7,10,11,13_16,18_21,23,24,26,29,31,33,35,42,45,47,51,61_63,72,76,86_88,90,91,96,97,100,110,112,115,116,122,125_127,129,131_135,137,138,140,145,146,152,153,159,162,167,169;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+454	n	G A:148;-:1,3,4,7,13,15,29,31,33,35,42,47,51,61,63,72,76,87,90,91,96,97,100,112,116,122,132,140,146;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+455	n	A G:148;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+458	n	T H:148;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+460	n	G H:148;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+461	n	T P:148;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+463	n	Q S:148;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+464	n	A W:148;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+465	n	A R:148;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+470	n	V R:148;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+471	n	T W:148;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+472	n	A C:148;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+473	n	L R:148;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+474	n	F K:148;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+475	n	G I:148;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+476	n	A L:148;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+478	n	G P:148;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+479	n	Q G:148;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+481	n	G ?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163;L:148
+482	n	D R:148;?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163
+483	n	T ?:5,8,22,48,49,71,80,83_85,89,92,95,98,111,123,124,128,163;L:148
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+968	n	L Y:0,18;-:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+982	n	V I:0,18;-:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+985	n	F I:0,18;-:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+986	n	F Y:0,18;-:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
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+990	n	T X:0;-:1,3,4,8,12,13,15,18,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
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+1003	n	N -:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;L:0,18;?:5_7,9_11,127,132_134,137
+1010	n	S A:0,18;-:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+1012	n	V -:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137;W:0,18
+1013	n	F -:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;L:0,18;?:5_7,9_11,127,132_134,137
+1014	n	R Q:0,18;-:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+1018	n	G -:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;E:0,18;?:5_7,9_11,127,132_134,137
+1020	n	I -:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;T:0,18;?:5_7,9_11,127,132_134,137
+1022	n	N S:0,18;-:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+1023	n	A -:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137;V:0,18
+1030	n	Q -:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137;F:0,18
+1031	n	L -:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;W:0,18;?:5_7,9_11,127,132_134,137
+1033	n	I -:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;L:0,18;?:5_7,9_11,127,132_134,137
+1038	n	L I:0,18;-:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+1040	n	D -:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137;N:0,18
+1041	n	F Y:0,18;-:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+1046	n	G A:0,18;-:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+1048	n	V I:0,18;-:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+1050	n	S -:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137;V:0,18
+1051	n	F Y:0,18;-:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+1053	n	V -:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;L:0,18;?:5_7,9_11,127,132_134,137
+1054	n	F -:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137;G:0,18
+1056	n	G A:0,18;-:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+1058	n	Q I:0,18;-:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+1060	n	S -:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;D:0,18;?:5_7,9_11,127,132_134,137
+1061	n	Y -:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137;F:0,18
+1063	n	I -:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;L:0,18;?:5_7,9_11,127,132_134,137
+1065	n	P S:0,18;-:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+1068	n	L I:0,18;-:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+1070	n	N -:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;D:0,18;?:5_7,9_11,127,132_134,137
+1071	n	Y -:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137;F:0,18
+1073	n	I -:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;L:0,18;?:5_7,9_11,127,132_134,137
+1075	n	F S:0,18;-:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+1078	n	L I:0,18;-:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+1080	n	N S:0,18;-:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+1081	n	Y S:0,18;-:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+1088	n	A -:0,1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137;V:18
+1093	n	Q P:18;-:0,1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+1095	n	F -:0,1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;L:18;?:5_7,9_11,127,132_134,137
+1096	n	A -:0,1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,92_94,98,110,111,128,148_150,152,163,169,171;T:18;?:5_7,9_11,127,132_134,137
+1098	n	T A:18;-:0,1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,92_94,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+1099	n	G A:18;-:0,1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,92_94,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+1100	n	N I:18;-:0,1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,92_94,98,110,111,128,148_150,152,163,169,171;T:129;?:5_7,9_11,127,132_134,137
+1101	n	N T:129;-:0,1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,92_94,98,110,111,128,148_150,152,163,169,171;G:18;?:5_7,9_11,127,132_134,137
+1102	n	N -:0,1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,92_94,98,110,111,128,148_150,152,163,169,171;T:129;?:5_7,9_11,127,132_134,137
+1103	n	I S:129;-:0,1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,92_94,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+1104	n	G -:0,1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,92_94,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137;D:129
+1105	n	F I:91;-:0,1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,92_94,98,110,111,128,148_150,152,163,169,171;L:129;?:5_7,9_11,127,132_134,137
+1106	n	A P:129;-:0,1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;G:18;?:5_7,9_11,127,132_134,137
+1107	n	N -:0,1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;T:129;?:5_7,9_11,127,132_134,137
+1108	n	T P:129;-:0,1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+1109	n	G A:129;-:0,1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+1110	n	N Q:129;-:0,1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+1111	n	N Q:129;-:0,1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;G:18;?:5_7,9_11,127,132_134,137
+1112	n	N H:129;-:0,1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+1113	n	I R:129;-:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137;V:0
+1114	n	G H:129;-:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+1115	n	I P:0;R:129;-:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+1116	n	G A:129;-:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
+1117	n	L -:1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137;V:129
+1118	n	S R:129;-:0,1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;T:18;?:5_7,9_11,127,132_134,137
+1119	n	G R:129;-:0,1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
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+1121	n	N Q:129;-:0,1,3,4,8,12,13,15,22,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,82,90,98,110,111,128,148_150,152,163,169,171;T:18;?:5_7,9_11,127,132_134,137
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+1203	n	T A:18,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,111;-:0,1,3,4,8,12,13,15,22,82,90,98,110,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
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+1654	n	N -:1,3,4,8,12,13,15,18,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,98,110,111,128,148_150,152,163,169,171;D:0;?:5_7,9_11,127,132_134,137
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+1692	n	T P:0,18,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,111;-:1,3,4,8,12,13,15,22,98,110,128,148_150,152,163,169,171;?:5_7,9_11,127,132_134,137
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+2696	n	N X:167;-:0,3,4,18,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,98,111,152,169,171;?:5_7,9_11,127,132_134,137
+2697	n	T X:167;-:0,3,4,18,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,98,111,152,169,171;?:5_7,9_11,127,132_134,137
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+2702	n	T X:167;-:0,3,4,18,26,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,98,111,152,169,171;?:5_7,9_11,127,132_134,137
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+3208	n	T X:125;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;?:5_7,9_11,127,132_134,137;L:39_41,45,49,50,54,61,63,64,70,121
+3209	n	G -:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;P:128;R:39_41,45,49,50,54,61,63,64,70,121;X:125;?:5_7,9_11,127,132_134,137
+3210	n	L A:128;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;Q:39_41,45,49,50,54,61,63,64,70,121;X:125;?:5_7,9_11,127,132_134,137
+3211	n	F H:39_41,45,49,50,54,61,63,64,70,121;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;Y:128;X:125;?:5_7,9_11,127,132_134,137
+3212	n	N -:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;S:128;R:39_41,45,49,50,54,61,63,64,70,121;X:125;?:5_7,9_11,127,132_134,137
+3213	n	A K:39_41,45,49,50,54,61,63,64,70,121;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;T:128;X:125;?:5_7,9_11,127,132_134,137
+3214	n	G P:128;R:39_41,45,49,50,54,61,63,64,70,121,125;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;?:5_7,9_11,127,132_134,137
+3215	n	N A:125;E:128;K:39_41,45,49,50,54,61,63,64,70,121;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;?:5_7,9_11,127,132_134,137
+3216	n	T H:39_41,45,49,50,54,61,63,64,70,121,128;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;?:5_7,9_11,127,132_134,137;L:125
+3217	n	N G:125;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;Q:128;R:39_41,45,49,50,54,61,63,64,70,121;?:5_7,9_11,127,132_134,137
+3218	n	T H:39_41,45,49,50,54,61,63,64,70,121,128;S:125;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;?:5_7,9_11,127,132_134,137
+3219	n	G P:125;R:39_41,45,49,50,54,61,63,64,70,121,128;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;?:5_7,9_11,127,132_134,137
+3220	n	S A:39_41,45,49,50,54,61,63,64,70,121;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;Q:128;T:125;?:5_7,9_11,127,132_134,137
+3221	n	F D:39_41,45,49,50,54,61,63,64,70,121;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;L:128;T:125;?:5_7,9_11,127,132_134,137
+3222	n	N A:125;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;Q:128;R:39_41,45,49,50,54,61,63,64,70,121;?:5_7,9_11,127,132_134,137
+3223	n	P S:125;R:39_41,45,49,50,54,61,63,64,70,121;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;?:5_7,9_11,127,132_134,137
+3224	n	G H:39_41,45,49,50,54,61,63,64,70,121;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;P:125;R:128;?:5_7,9_11,127,132_134,137
+3225	n	D H:39_41,45,49,50,54,61,63,64,70,121;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;S:125;R:128;?:5_7,9_11,127,132_134,137
+3226	n	Y D:39_41,45,49,50,54,61,63,64,70,121;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;L:128;S:125;?:5_7,9_11,127,132_134,137
+3227	n	N A:125;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;Q:128;R:39_41,45,49,50,54,61,63,64,70,121;?:5_7,9_11,127,132_134,137
+3228	n	T I:125;H:128;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;V:39_41,45,49,50,54,61,63,64,70,121;?:5_7,9_11,127,132_134,137
+3229	n	G P:125;R:39_41,45,49,50,54,61,63,64,70,121,128;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;?:5_7,9_11,127,132_134,137
+3230	n	G R:39_41,45,49,50,54,61,63,64,70,121,128;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;?:5_7,9_11,127,132_134,137
+3231	n	F R:125;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;L:39_41,45,49,50,54,61,63,64,70,121,128;?:5_7,9_11,127,132_134,137
+3232	n	N E:39_41,45,49,50,54,61,63,64,70,121;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;Q:128;S:125;?:5_7,9_11,127,132_134,137
+3233	n	P -:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;L:39_41,45,49,50,54,61,63,64,70,121;?:5_7,9_11,127,132_134,137
+3234	n	G P:125;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;?:5_7,9_11,127,132_134,137;X:128
+3235	n	N H:39_41,45,49,50,54,61,63,64,70,121;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;L:125;X:128;?:5_7,9_11,127,132_134,137
+3236	n	Y -:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;L:1;S:125;R:39_41,45,49,50,54,61,63,64,70,121;X:128;?:5_7,9_11,127,132_134,137
+3237	n	N -:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,73,75,76,80,111,126,167;Q:1,39_41,45,49,50,54,61,63,64,70,121;S:125;X:128;?:5_7,9_11,127,132_134,137
+3238	n	T H:1,39_41,45,49,50,54,61,63,64,70,121;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,111,126,167;P:125;X:73,128;?:5_7,9_11,127,132_134,137
+3239	n	G -:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,111,126,167;S:125;R:1,39_41,45,49,50,54,61,63,64,70,121;X:73,128;?:5_7,9_11,127,132_134,137
+3240	n	Y A:39_41,45,49,50,54,61,63,64,70,121;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,111,126,167;L:1;S:125;X:73,128;?:5_7,9_11,127,132_134,137
+3241	n	F I:39_41,45,49,50,54,61,63,64,70,121;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,111,167;L:1,125,126;X:73,128;?:5_7,9_11,127,132_134,137
+3242	n	N A:73;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,111,167;Q:1,39_41,45,49,50,54,61,63,64,70,121,125;T:126;X:128;?:5_7,9_11,127,132_134,137
+3243	n	P -:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,111,167;L:39_41,45,49,50,54,61,63,64,70,121;R:126;X:128;?:5_7,9_11,127,132_134,137
+3244	n	G A:73;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,111,167;S:125;R:39_41,45,49,50,54,61,63,64,70,121,126;X:128;?:5_7,9_11,127,132_134,137
+3245	n	N H:39_41,45,49,50,54,61,63,64,70,121;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,111,167;Q:1;P:126;T:73;V:125;X:128;?:5_7,9_11,127,132_134,137
+3246	n	S -:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,111,167;L:1;R:39_41,45,49,50,54,61,63,64,70,121,125;X:128;?:5_7,9_11,127,132_134,137
+3247	n	N A:73,126;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,111,125,167;Q:1,39_41,45,49,50,54,61,63,64,70,121;X:128;?:5_7,9_11,127,132_134,137
+3248	n	T H:1,39_41,45,49,50,54,61,63,64,70,121;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,111,125,167;S:73;X:128;?:5_7,9_11,127,132_134,137
+3249	n	G A:73;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,111,125,167;S:126;R:1,39_41,45,49,50,54,61,63,64,70,121;X:128;?:5_7,9_11,127,132_134,137
+3250	n	I A:126;F:81,123,124,129_131;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,111,125,167;L:1,39_41,45,49,50,54,61,63,64,70,121;T:73;X:128;?:5_7,9_11,127,132_134,137
+3251	n	A -:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,111,125,167;P:73;S:126;R:1,39_41,45,49,50,54,61,63,64,70,121;X:128;?:5_7,9_11,127,132_134,137
+3252	n	N A:126;E:73;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,111,125,167;Q:1,39_41,45,49,50,54,61,63,64,70,121;X:128;?:5_7,9_11,127,132_134,137
+3253	n	S -:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,111,125,167;L:1,39_41,45,49,50,54,61,63,64,70,121;T:73,126;X:128;?:5_7,9_11,127,132_134,137
+3254	n	G E:73;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,111,125,167;P:126;R:1,39_41,45,49,50,54,61,63,64,70,121;X:128;?:5_7,9_11,127,132_134,137
+3255	n	D E:126;H:39_41,45,49,50,54,61,63,64,70,121;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,111,125,167;R:1;T:73;X:128;?:5_7,9_11,127,132_134,137
+3256	n	V C:1;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,111,125,167;S:73;R:39_41,45,49,50,54,61,63,64,70,121;T:126;X:128;?:5_7,9_11,127,132_134,137
+3257	n	N A:73;E:126;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,111,125,167;Q:1,39_41,45,49,50,54,61,63,64,70,121;X:128;?:5_7,9_11,127,132_134,137
+3258	n	T H:1;-:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,111,125,167;L:39_41,45,49,50,54,61,63,64,70,121;S:73;X:128;?:5_7,9_11,127,132_134,137
+3259	n	G -:0,18,26,33,35,37,38,43,44,47,48,53,55,56,58,60,65,66,71,75,76,80,111,125,167;S:126;R:1;X:128;?:5_7,9_11,127,132_134,137
+3260	n	A X:128;R:1;-:0,18,26,33,35,37_41,43_45,47_50,53_56,58,60,61,63_66,70,71,73,75,76,80,111,121,125,167;?:5_7,9_11,127,132_134,137
+3261	n	F -:0,18,26,33,35,37_41,43_45,47_50,53_56,58,60,61,63_66,70,71,73,75,76,80,111,121,125,167;L:1;S:126;X:128;?:5_7,9_11,127,132_134,137
+3262	n	N G:126;-:0,18,26,33,35,37_41,43_45,47_50,53_56,58,60,61,63_66,70,71,73,75,76,80,111,121,125,167;Q:1;X:128;?:5_7,9_11,127,132_134,137
+3263	n	S X:128;-:0,18,26,33,35,37_41,43_45,47_50,53_56,58,60,61,63_66,70,71,73,75,76,80,111,121,125,126,167;?:5_7,9_11,127,132_134,137;F:1
+3264	n	G X:128;-:0,18,26,33,35,37_41,43_45,47_50,53_56,58,60,61,63_66,70,71,73,75,76,80,111,121,125,126,167;?:5_7,9_11,127,132_134,137
+3265	n	N Q:1;X:128;-:0,18,26,33,35,37_41,43_45,47_50,53_56,58,60,61,63_66,70,71,73,75,76,80,111,121,125,126,167;?:5_7,9_11,127,132_134,137
+3266	n	Y X:128;-:0,18,26,33,35,37_41,43_45,47_50,53_56,58,60,61,63_66,70,71,73,75,76,80,111,121,125,126,167;L:1;?:5_7,9_11,127,132_134,137
+3267	n	S Q:1;X:128;-:0,18,26,33,35,37_41,43_45,47_50,53_56,58,60,61,63_66,70,71,73,75,76,80,111,121,125,126,167;?:5_7,9_11,127,132_134,137
+3268	n	N Q:1;-:0,18,26,33,35,37_41,43_45,47_50,53_56,58,60,61,63_66,70,71,73,75,76,80,111,121,125,126,167;T:128;?:5_7,9_11,127,132_134,137
+3269	n	G S:128;R:1;-:0,18,26,33,35,37_41,43_45,47_50,53_56,58,60,61,63_66,70,71,73,75,76,80,111,121,125,126,167;?:5_7,9_11,127,132_134,137
+3270	n	F -:0,18,26,33,35,37_41,43_45,47_50,53_56,58,60,61,63_66,70,71,73,75,76,80,111,121,125,126,167;L:1,128;?:5_7,9_11,127,132_134,137
+3271	n	F S:128;-:0,18,26,33,35,37_41,43_45,47_50,53_56,58,60,61,63_66,70,71,73,75,76,80,111,121,125,126,167;L:1;?:5_7,9_11,127,132_134,137
+3272	n	W R:128;-:0,18,26,33,35,37_41,43_45,47_50,53_56,58,60,61,63_66,70,71,73,75,76,80,111,121,125,126,167;L:1;?:5_7,9_11,127,132_134,137
+3273	n	R A:1;-:0,18,26,33,35,37_41,43_45,47_50,53_56,58,60,61,63_66,70,71,73,75,76,80,111,121,125,126,167;G:128;?:5_7,9_11,127,132_134,137
+3274	n	G -:0,18,26,33,35,37_41,43_45,47_50,53_56,58,60,61,63_66,70,71,73,75,76,80,111,121,125,126,167;?:5_7,9_11,127,132_134,137;V:128
+3275	n	D R:1;-:0,18,26,33,35,37_41,43_45,47_50,53_56,58,60,61,63_66,70,71,73,75,76,80,111,121,125,126,128,167;?:5_7,9_11,127,132_134,137
+3276	n	Y -:0,18,26,33,35,37_41,43_45,47_50,53_56,58,60,61,63_66,70,71,73,75,76,80,111,121,125,126,128,167;L:1;?:5_7,9_11,127,132_134,137
+3277	n	Q P:1;-:0,18,26,33,35,37_41,43_45,47_50,53_56,58,60,61,63_66,70,71,73,75,76,80,111,121,125,126,128,167;?:5_7,9_11,127,132_134,137
+3279	n	L P:1;-:0,18,26,33,35,37_41,43_45,47_50,53_56,58,60,61,63_66,70,71,73,75,76,80,111,121,125,126,128,167;?:5_7,9_11,127,132_134,137
+3280	n	G R:1;-:0,18,26,33,35,37_41,43_45,47_50,53_56,58,60,61,63_66,70,71,73,75,76,80,111,121,125,126,128,167;?:5_7,9_11,127,132_134,137
+3281	n	G R:1;-:0,18,26,33,35,37_41,43_45,47_50,53_56,58,60,61,63_66,70,71,73,75,76,80,111,121,125,126,128,167;?:5_7,9_11,127,132_134,137
+3283	n	A R:1;-:0,18,26,33,35,37_41,43_45,47_50,53_56,58,60,61,63_66,70,71,73,75,76,80,111,121,125,126,128,167;?:5_7,9_11,127,132_134,137
+3284	n	Y -:0,18,26,33,35,37_41,43_45,47_50,53_56,58,60,61,63_66,70,71,73,75,76,80,111,121,125,126,128,167;L:1;?:5_7,9_11,127,132_134,137
+3285	n	Q P:1;-:0,18,26,33,35,37_41,43_45,47_50,53_56,58,60,61,63_66,70,71,73,75,76,80,111,121,125,126,128,167;?:5_7,9_11,127,132_134,137
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+299	n	E R:81,166;?:0,6
+300	n	A T:166;?:0,6
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+>Rv0647c	593	x	742617	741151	-
+1	n	- M:1,2,5_7,9,10,14_26,36,46,77_81,83,85_90,92,95_97,99_101,103_109,119,123,124,130,135,138_146,148,151_161,163,165,168_172;?:0,3,4,8,98,129;N:115
+2	n	- E:115;R:1,2,5_7,9,10,14_26,36,46,77_81,83,85_90,92,95_97,99_101,103_109,119,123,124,130,135,138_146,148,151_161,163,165,168_172;?:0,3,4,8,98,129
+3	n	- A:1,2,5_7,9,10,14_26,36,46,77_81,83,85_90,92,95_97,99_101,103_109,119,123,124,130,135,138_146,148,151_161,163,165,168_172;G:115;?:0,3,4,8,98,129
+4	n	- E:1,2,5_7,9,10,14_26,36,46,77_81,83,85_90,92,95_97,99_101,103_109,119,123,124,130,135,138_146,148,151_161,163,165,168_172;G:115;?:0,3,4,8,98,129
+6	n	- R:26;G:1,2,5_7,9,10,14_25,36,46,77_81,83,85_90,92,95_97,99_101,103_109,115,119,123,124,130,135,138_146,148,151_161,163,165,168_172;?:0,3,4,8,98,129
+107	n	Y C:2;-:84,128,162;?:0,3,4,8,98,129
+158	n	R G:2;?:0,3,4,8,98,129
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+161	n	A P:2;?:0,3,4,8,98,129
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+166	n	E S:2;?:0,3,4,8,98,129
+167	n	P R:2;?:0,3,4,8,98,129
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+171	n	A R:2;?:0,3,4,8,98,129
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+181	n	L ?:0,3,4,8,98,129;T:2
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+188	n	V R:2;?:0,3,4,8,98,129
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+191	n	I W:2;?:0,3,4,8,98,129
+192	n	Q S:2;?:0,3,4,8,98,129
+194	n	P S:2;?:0,3,4,8,98,129
+195	n	G S:2;?:0,3,4,8,98,129
+196	n	I G:2;?:0,3,4,8,98,129
+198	n	R A:2;?:0,3,4,8,98,129
+199	n	R S:2;?:0,3,4,8,98,129
+200	n	V A:2;?:0,3,4,8,98,129
+203	n	D ?:0,3,4,8,98,129;L:2
+204	n	L P:2;?:0,3,4,8,98,129
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+206	n	I T:2;?:0,3,4,8,98,129
+207	n	L C:2;?:0,3,4,8,98,129
+208	n	K R:2;?:0,3,4,8,98,129
+209	n	R S:2;?:0,3,4,8,98,129
+210	n	F L:2;?:0,3,4,8,98,129
+214	n	V I:36;?:0,3,4,8,98,129
+355	n	R G:2;?:0,3,4,8,98,129
+356	n	T A:82;?:0,3,4,8,98,129;N:2
+387	n	G ?:0,3,4,8,98,129;D:135_137
+466	n	Q H:111;?:0,3,4,8,98,129
+>Rv0648	153	x	742719	746366	+
+0	p	V -:0,3_5,13,15,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,98,99,101,107,110_112,115,116,119,122,123,126,129,132,137,148,153,162,167;L:69;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+140	n	A -:0,3_5,13,15,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,98,110_112,115,116,122,123,126,129,132,137,148,153,162,167;G:81;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+141	n	L -:0,3_5,13,15,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,98,110_112,115,116,122,123,126,129,132,137,148,153,162,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145;T:81
+142	n	T R:81;-:0,3_5,13,15,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,98,110_112,115,116,122,123,126,129,132,137,148,153,162,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+149	n	V I:81;-:0,3_5,13,15,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,98,110_112,115,116,122,123,126,129,132,137,148,153,162,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+150	n	G H:81;-:0,3_5,13,15,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,98,110_112,115,116,122,123,126,129,132,137,148,153,162,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+151	n	T R:81;-:0,3_5,13,15,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,98,110_112,115,116,122,123,126,129,132,137,148,153,162,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+152	n	D G:81;-:0,3_5,13,15,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,98,110_112,115,116,122,123,126,129,132,137,148,153,162,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+153	n	Y P:81;-:0,3_5,13,15,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,98,110_112,115,116,122,123,126,129,132,137,148,153,162,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+154	n	T H:81;-:0,3_5,13,15,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,98,110_112,115,116,122,123,126,129,132,137,148,153,162,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+156	n	P Q:81;-:0,3_5,13,15,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,98,110_112,115,116,122,123,126,129,132,137,148,153,162,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+157	n	N R:81;-:0,3_5,13,15,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,98,110_112,115,116,122,123,126,129,132,137,148,153,162,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+158	n	K Q:81;-:0,3_5,13,15,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,98,110_112,115,116,122,123,126,129,132,137,148,153,162,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+159	n	W -:0,3_5,13,15,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,98,110_112,115,116,122,123,126,129,132,137,148,153,162,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145;V:81
+160	n	V -:0,3_5,13,15,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,98,110_112,115,116,122,123,126,129,132,137,148,153,162,167;G:81;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+161	n	T H:81;-:0,3_5,13,15,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,98,110_112,115,116,122,123,126,129,132,137,148,153,162,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+162	n	A R:81;-:0,3_5,13,15,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,98,110_112,115,116,122,123,126,129,132,137,148,153,162,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+163	n	I H:81;-:0,3_5,13,15,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,98,110_112,115,116,122,123,126,129,132,137,148,153,162,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+199	n	P Q:12;-:0,3_5,13,15,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,98,110_112,115,116,122,123,126,129,132,137,148,153,162,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+315	n	V F:37_39,41,42,120,121;-:0,3_5,13,15,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,98,110_112,115,116,122,123,126,129,132,137,148,153,162,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+325	n	R S:86;-:0,3_5,13,15,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,98,110_112,115,116,122,123,126,129,132,137,148,153,162,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+636	n	V F:83,86;-:5,13,15,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,110_112,116,122,123,126,129,137,148,153,162,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+685	n	V C:15;-:5,13,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,110_112,116,122,123,126,129,137,148,153,162,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+686	n	P K:15;-:5,13,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,110_112,116,122,123,126,129,137,148,153,162,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+687	n	A R:15;-:5,13,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,110_112,116,122,123,126,129,137,148,153,162,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+688	n	A Q:15;-:5,13,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,110_112,116,122,123,126,129,137,148,153,162,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+689	n	N E:15;-:5,13,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,110_112,116,122,123,126,129,137,148,153,162,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+843	n	P -:5,13,15,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,110_112,116,122,123,126,129,137,148,153,162,167;L:115;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+855	n	S X:146;-:5,13,15,16,18,22,29,33,40,47,49,51,61,64,71,72,84,87_90,95,96,110_112,116,122,123,126,129,137,148,153,162,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+890	n	V -:13,15,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;G:22;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+891	n	A -:13,15,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;G:22;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+892	n	L A:22;H:115;-:13,15,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+893	n	R A:22,115;-:13,15,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+894	n	L I:22,115;-:13,15,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+895	n	V -:13,15,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;G:22,115;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+896	n	Q A:22,115;-:13,15,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+897	n	T -:13,15,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145;N:22,115
+898	n	T -:13,15,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145;D:22,115
+899	n	G R:22,115;-:13,15,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+900	n	A S:22,115;-:13,15,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+901	n	D R:22,115;-:13,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145;T:15
+902	n	T P:15;-:13,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145;H:22,115
+904	n	V -:13,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;G:22,115;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+905	n	T H:22,115;-:13,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+906	n	I H:22,115;-:13,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+907	n	G R:22,115;-:13,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+908	n	C -:13,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;L:22,115;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+909	n	E -:13,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;R:22,115;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+910	n	L A:22,115;-:13,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+912	n	K Q:22,115;-:13,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+913	n	V -:13,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;G:22,115;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+914	n	G R:22,115;-:13,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+915	n	A R:115;-:13,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;T:22;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+919	n	A -:13,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;T:137;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+921	n	L C:137;-:13,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+922	n	L W:137;-:13,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+923	n	E -:13,18,33,47,49,61,71,72,87_89,95,96,110_112,116,122,126,129,153,167;K:137;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+1000	n	L X:146;-:13,33,47,49,61,71,72,89,111,112,116,122,129,153,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+1001	n	H -:13,33,47,49,61,71,72,89,111,112,116,122,129,153,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145;X:146
+1002	n	P -:13,33,47,49,61,71,72,89,111,112,116,122,129,153,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145;X:146
+1003	n	R X:146;-:13,33,47,49,61,71,72,89,111,112,116,122,129,153,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+1004	n	R X:146;-:13,33,47,49,61,71,72,89,111,112,116,122,129,153,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+1005	n	V X:146;-:47,89,111,116,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+1020	n	A X:9;-:47,111,116,167;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+1047	n	L W:166;-:47,111;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+1053	n	A -:47,111;G:6;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+1098	n	V M:111;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+1124	n	L R:137;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+1127	n	G A:137;?:1,2,8,48,80,85,92,97,100,125,128,131,145
+>Rv0649	3906:1	fabD2	746363	747037	+
+1	n	M -:2_5,10,16,22,26,33,40,42,47,49,51,61_64,71,72,84,87,88,90,91,95_97,100,112,115,123,125,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162;V:8
+3	n	G -:2_5,10,16,22,26,33,40,42,47,49,51,61_64,71,72,84,87,88,90,91,95_97,100,112,115,123,125,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162;V:145
+4	n	R -:2_5,10,16,22,26,33,40,42,47,49,51,61_64,71,72,84,87,88,90,91,95_97,100,112,115,123,125,131_133,140,146,153;L:127;?:18,48,85,92,110,111,116,122,128,137,162
+6	n	R -:2_5,10,16,22,26,33,40,42,47,49,51,61_64,71,72,84,87,88,90,91,95_97,100,112,115,123,125,131_133,140,146,153;G:145;?:18,48,85,92,110,111,116,122,128,137,162
+8	n	P -:2,5,10,16,22,26,33,40,42,47,49,51,61_64,71,72,84,87,88,90,91,95_97,100,112,115,123,125,131_133,140,146,153;G:145;?:18,48,85,92,110,111,116,122,128,137,162
+9	n	G -:2,5,10,16,22,26,33,40,42,47,49,51,61_64,71,72,84,87,88,90,91,95_97,100,112,115,123,125,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162;V:145
+10	n	S Y:145;-:2,5,10,16,22,26,33,40,42,47,49,51,61_64,71,72,84,87,88,90,91,95_97,100,112,115,123,125,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+15	n	D Y:127;-:2,5,10,16,22,26,33,40,42,47,49,51,61_64,71,72,84,87,88,90,91,95_97,100,112,115,123,125,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+18	n	R -:2,5,10,16,22,26,33,40,42,47,49,51,61_64,71,72,84,87,88,90,91,95_97,100,112,115,123,125,131_133,140,146,153;G:145;?:18,48,85,92,110,111,116,122,128,137,162
+32	n	A P:145;-:2,5,10,16,22,26,33,40,42,47,49,51,61_64,71,72,84,87,88,90,91,95_97,100,112,115,123,125,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+37	n	E Q:2;-:5,10,16,22,26,33,40,42,47,49,51,61_64,71,72,84,87,88,90,91,95_97,100,112,115,123,125,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+38	n	V R:167;-:5,10,16,22,26,33,40,42,47,49,51,61_64,71,72,84,87,88,90,91,95_97,100,112,115,123,125,131_133,140,146,153;D:2;?:18,48,85,92,110,111,116,122,128,137,162
+39	n	D R:167;-:5,10,16,22,26,33,40,42,47,49,51,61_64,71,72,84,87,88,90,91,95_97,100,112,115,123,125,131_133,140,146,153;G:2;?:18,48,85,92,110,111,116,122,128,137,162
+40	n	A Q:2;-:5,10,16,22,26,33,40,42,47,49,51,61_64,71,72,84,87,88,90,91,95_97,100,112,115,123,125,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+41	n	A P:2;-:5,10,16,22,26,33,40,42,47,49,51,61_64,71,72,84,87,88,90,91,95_97,100,112,115,123,125,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+42	n	E -:5,10,16,22,26,33,40,42,47,49,51,61_64,71,72,84,87,88,90,91,95_97,100,112,115,123,125,131_133,140,146,153;R:2;G:167;?:18,48,85,92,110,111,116,122,128,137,162
+43	n	A S:2;-:5,10,16,22,26,33,40,42,47,49,51,61_64,71,72,84,87,88,90,91,95_97,100,112,115,123,125,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+44	n	R A:2;P:167;-:5,10,16,22,26,33,40,42,47,49,51,61_64,71,72,84,87,88,90,91,95_97,100,112,115,123,125,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+45	n	L D:167;-:5,10,16,22,26,33,40,42,47,49,51,61_64,71,72,84,87,88,90,91,95_97,100,112,115,123,125,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162;V:2
+47	n	D A:167;-:5,10,16,22,26,33,40,42,47,49,51,61_64,71,72,84,87,88,90,91,95_97,100,112,115,123,125,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+48	n	G R:167;-:5,10,16,22,26,33,40,42,47,49,51,61_64,71,72,84,87,88,90,91,95_97,100,112,115,123,125,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+51	n	A C:167;-:5,10,16,22,26,33,40,42,47,49,51,61_64,71,72,84,87,88,90,91,95_97,100,112,115,123,125,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+83	n	A -:5,10,16,26,33,40,42,47,49,51,61_63,71,72,84,87,88,90,91,95_97,100,112,131_133,140,146,153;D:125;?:18,48,85,92,110,111,116,122,128,137,162;V:22
+84	n	A -:5,10,16,26,33,40,42,47,49,51,61_63,71,72,84,87,88,90,91,95_97,100,112,131_133,140,146,153;L:125;?:18,48,85,92,110,111,116,122,128,137,162
+89	n	T X:159;-:5,10,16,26,33,40,42,47,49,51,61_63,71,72,84,87,88,90,91,95_97,100,112,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162;D:22
+90	n	A X:159;R:22;-:5,10,16,26,33,40,42,47,49,51,61_63,71,72,84,87,88,90,91,95_97,100,112,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+91	n	A X:159;-:5,10,16,26,33,40,42,47,49,51,61_63,71,72,84,87,88,90,91,95_97,100,112,131_133,140,146,153;G:22;?:18,48,85,92,110,111,116,122,128,137,162
+93	n	A R:22;-:5,10,16,26,33,40,42,47,49,51,61_63,71,72,84,87,88,90,91,95_97,100,112,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+94	n	P S:22;-:5,10,16,26,33,40,42,47,49,51,61_63,71,72,84,87,88,90,91,95_97,100,112,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+95	n	A P:22;-:5,10,16,26,33,40,42,47,49,51,61_63,71,72,84,87,88,90,91,95_97,100,112,131_133,140,146,153;T:125;?:18,48,85,92,110,111,116,122,128,137,162
+96	n	E -:5,10,16,26,33,40,42,47,49,51,61_63,71,72,84,87,88,90,91,95_97,100,112,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162;P:22
+97	n	A R:22;-:5,10,16,26,33,40,42,47,49,51,61_63,71,72,84,87,88,90,91,95_97,100,112,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+98	n	D R:22;-:5,10,16,26,33,40,42,47,49,51,61_63,71,72,84,87,88,90,91,95_97,100,112,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+99	n	L M:115;-:5,10,16,26,33,40,42,47,49,51,61_63,71,72,84,87,88,90,91,95_97,100,112,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162;T:22
+100	n	L C:22;-:5,10,16,26,33,40,42,47,49,51,61_63,71,72,84,87,88,90,91,95_97,100,112,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+101	n	P C:22;-:5,10,16,26,33,40,42,47,49,51,61_63,71,72,84,87,88,90,91,95_97,100,112,131_133,140,146,153;S:125;?:18,48,85,92,110,111,116,122,128,137,162
+102	n	D P:22;-:5,10,16,26,33,40,42,47,49,51,61_63,71,72,84,87,88,90,91,95_97,100,112,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+103	n	A -:5,10,16,26,33,40,42,47,49,51,61_63,71,72,84,87,88,90,91,95_97,100,112,131_133,140,146,153;T:22;?:18,48,85,92,110,111,116,122,128,137,162
+104	n	T R:22;-:5,10,16,26,33,40,42,47,49,51,61_63,71,72,84,87,88,90,91,95_97,100,112,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+105	n	A R:22;-:5,10,16,26,33,40,42,47,49,51,61_63,71,72,84,87,88,90,91,95_97,100,112,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162;G:1
+106	n	R -:5,10,16,26,33,40,42,47,49,51,61_63,71,72,84,87,88,90,91,95_97,100,112,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162;G:1,22
+107	n	L W:22;R:1;-:5,10,16,26,33,40,42,47,49,51,61_63,71,72,84,87,88,90,91,95_97,100,112,131_133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+108	n	E -:5,10,16,26,33,40,42,47,49,51,61_63,71,72,84,87,88,90,91,95_97,100,112,131_133,140,146,153;K:22;?:18,48,85,92,110,111,116,122,128,137,162
+109	n	I -:5,10,16,26,33,40,42,47,49,51,61_63,71,72,84,87,88,90,91,95_97,100,112,131_133,140,146,153;L:1;?:18,48,85,92,110,111,116,122,128,137,162
+130	n	T -:5,10,16,33,40,47,49,51,61,71,84,87,88,90,91,97,100,112,131,133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162;N:145
+134	n	A P:2;-:5,10,16,33,40,47,49,51,61,71,84,87,88,90,91,97,100,112,126,131,133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+135	n	V -:5,10,16,33,40,47,49,51,61,71,84,87,88,90,91,97,100,112,126,131,133,140,146,153;L:2;?:18,48,85,92,110,111,116,122,128,137,162
+136	n	T Y:2;-:5,10,16,33,40,47,49,51,61,71,84,87,88,90,91,97,100,112,126,131,133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+137	n	D -:5,10,16,33,40,47,49,51,61,71,84,87,88,90,91,97,100,112,126,131,133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162;L:2
+138	n	D Q:2;-:5,10,16,33,40,47,49,51,61,71,84,87,88,90,91,97,100,112,126,131,133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+144	n	H -:16,33,40,47,49,51,61,71,87,88,91,97,100,112,126,131,133,140,146,153;M:2;?:18,48,85,92,110,111,116,122,128,137,162
+145	n	A P:2;S:126;-:16,33,40,47,49,51,61,71,87,88,91,97,100,112,131,133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+146	n	R A:2;-:16,33,40,47,49,51,61,71,87,88,91,97,100,112,131,133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+147	n	N S:126;-:16,33,40,47,49,51,61,71,87,88,91,97,100,112,131,133,140,146,153;T:2;?:18,48,85,92,110,111,116,122,128,137,162
+151	n	F C:2;-:16,33,40,47,49,51,61,71,87,88,91,97,100,112,126,131,133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+152	n	A -:16,33,40,47,49,51,61,71,87,88,91,97,100,112,131,133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162;G:2;T:126
+153	n	A -:16,33,40,47,49,51,61,71,87,88,91,97,100,112,131,133,140,146,153;L:2;?:18,48,85,92,110,111,116,122,128,137,162;T:126
+155	n	C -:16,33,40,47,49,51,61,71,87,88,91,97,100,112,133,140,146,153;W:126;?:18,48,85,92,110,111,116,122,128,137,162;V:131
+157	n	G R:131;-:16,33,40,47,49,51,61,71,87,88,91,97,100,112,133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162;T:126
+158	n	Q R:131;-:2,16,33,40,47,49,51,61,71,87,88,91,97,100,112,126,133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+159	n	H R:131;-:2,16,33,40,47,49,51,61,71,87,88,91,97,100,112,126,133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+161	n	W T:126;-:16,33,40,47,49,51,61,71,87,88,91,97,100,112,131,133,140,146,153;G:2;?:18,48,85,92,110,111,116,122,128,137,162
+162	n	R M:126;-:16,33,40,47,49,51,61,71,87,88,91,97,100,112,131,133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+163	n	A P:2,126;-:16,33,40,47,49,51,61,71,87,88,91,97,100,112,131,133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+164	n	P A:126;-:16,33,40,47,49,51,61,71,87,88,91,97,100,112,131,133,140,146,153;T:2;?:18,48,85,92,110,111,116,122,128,137,162
+165	n	A -:16,33,40,47,49,51,61,71,87,88,91,97,100,112,131,133,140,146,153;T:126;?:18,48,85,92,110,111,116,122,128,137,162
+166	n	A R:126;-:16,33,40,47,49,51,61,71,87,88,91,97,100,112,131,133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162;G:2
+167	n	A C:126;-:16,33,40,47,49,51,61,71,87,88,91,97,100,112,133,140,146,153;P:131;S:2;?:18,48,85,92,110,111,116,122,128,137,162
+168	n	A -:16,33,40,47,49,51,61,71,87,88,91,97,100,112,133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162;G:2,126
+169	n	P A:2;S:126;-:16,33,40,47,49,51,61,71,87,88,91,97,100,112,133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+171	n	L R:2,126;-:16,33,40,47,49,51,61,71,87,88,91,97,100,112,133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162
+172	n	D -:16,33,40,47,49,51,61,71,87,88,91,97,100,112,133,140,146,153;E:2;?:18,48,85,92,110,111,116,122,128,137,162;H:126
+173	n	Q H:2;-:16,33,40,47,49,51,61,71,87,88,91,97,100,112,133,140,146,153;?:18,48,85,92,110,111,116,122,128,137,162;V:126
+179	n	T P:126;-:2,47,51,87,97,112;?:18,48,85,92,110,111,116,122,128,137,162
+180	n	E A:115,126;-:47,51,87,97,112;R:2;?:18,48,85,92,110,111,116,122,128,137,162
+181	n	H A:2;S:126;-:47,51,87,97,112;?:18,48,85,92,110,111,116,122,128,137,162
+182	n	L -:47,51,87,97,112;?:18,48,85,92,110,111,116,122,128,137,162;T:126
+183	n	L A:126;-:87;?:18,48,85,92,110,111,116,122,128,137,162
+185	n	A ?:18,48,85,92,110,111,116,122,128,137,162;V:126
+186	n	A P:126;?:18,48,85,92,110,111,116,122,128,137,162
+190	n	A P:126;?:18,48,85,92,110,111,116,122,128,137,162
+191	n	F P:126;?:18,48,85,92,110,111,116,122,128,137,162
+192	n	R H:126;?:18,48,85,92,110,111,116,122,128,137,162
+193	n	V R:126;?:18,48,85,92,110,111,116,122,128,137,162
+195	n	L I:126;?:18,48,85,92,110,111,116,122,128,137,162
+196	n	D R:126;?:18,48,85,92,110,111,116,122,128,137,162
+198	n	R A:126;?:18,48,85,92,110,111,116,122,128,137,162
+200	n	N S:126;?:18,48,85,92,110,111,116,122,128,137,162
+201	n	A P:126;?:18,48,85,92,110,111,116,122,128,137,162
+202	n	L S:126;?:18,48,85,92,110,111,116,122,128,137,162
+203	n	V I:126;?:18,48,85,92,110,111,116,122,128,137,162
+204	n	V C:126;?:18,48,85,92,110,111,116,122,128,137,162
+205	n	L W:126;?:18,48,85,92,110,111,116,122,128,137,162
+206	n	A G:126;?:18,48,85,92,110,111,116,122,128,137,162
+208	n	G R:126;-:2;?:18,48,85,92,110,111,116,122,128,137,162
+209	n	Y A:126;-:2;?:18,48,85,92,110,111,116,122,128,137,162
+210	n	E A:126;-:2;?:18,48,85,92,110,111,116,122,128,137,162
+211	n	H I:2;A:126;?:18,48,85,92,110,111,116,122,128,137,162
+212	n	P T:2;?:18,48,85,92,110,111,116,122,128,137,162
+213	n	G S:126;?:18,48,85,92,110,111,116,122,128,137,162
+214	n	D G:126;?:18,48,85,92,110,111,116,122,128,137,162;N:2
+215	n	P G:126;?:18,48,85,92,110,111,116,122,128,137,162
+216	n	R T:126;?:18,48,85,92,110,111,116,122,128,137,162
+217	n	Q P:126;?:18,48,85,92,110,111,116,122,128,137,162
+218	n	P G:126;?:18,48,85,92,110,111,116,122,128,137,162
+219	n	D G:126;?:18,48,85,92,110,111,116,122,128,137,162
+220	n	N A:126;?:18,48,85,92,110,111,116,122,128,137,162
+221	n	T G:126;?:18,48,85,92,110,111,116,122,128,137,162
+222	n	R P:126;?:18,48,85,92,110,111,116,122,128,137,162
+224	n	H L:126;?:18,48,85,92,110,111,116,122,128,137,162
+>Rv0650	1934	glk	747037	747945	+
+18	n	A -:2,5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;?:6,22,48,71,85,88,100,110,112,122,125,128,153;F:167
+20	n	P A:167;-:2,5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+45	n	V I:82;-:2,5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+46	n	A -:2,5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;?:6,22,48,71,85,88,100,110,112,122,125,128,153;V:167
+48	n	M -:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;R:129;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+49	n	I R:129;-:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+50	n	A R:129;-:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+51	n	D A:129;-:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+52	n	A R:129;-:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+53	n	L R:129;-:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+55	n	V -:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;G:129;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+56	n	A -:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;G:129;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+57	n	G R:129;-:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+59	n	A R:129;-:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+60	n	V -:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;W:129;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+61	n	G C:129;-:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+63	n	V -:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;D:129;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+64	n	G R:129;-:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+65	n	I -:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;L:129;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+66	n	A R:129;-:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+67	n	S P:129;-:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+68	n	A -:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;?:6,22,48,71,85,88,100,110,112,122,125,128,153;V:129
+69	n	G -:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;?:6,22,48,71,85,88,100,110,112,122,125,128,153;L:129
+70	n	P -:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;?:6,22,48,71,85,88,100,110,112,122,125,128,153;F:129
+71	n	I -:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;D:129;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+72	n	D P:129;-:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+73	n	L -:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;?:6,22,48,71,85,88,100,110,112,122,125,128,153;T:129
+74	n	H Q:129;-:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+75	n	S R:129;-:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+76	n	G A:129;-:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+77	n	R -:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;G:129;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+78	n	V S:129;-:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+82	n	N -:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;T:164;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+102	n	V I:43;-:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+111	n	V -:5,7,10,13,15,16,18,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,137,146,147,162;L:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+144	n	L R:137;-:5,7,10,13,15,16,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,111,115,116,123,126,146,147,162;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+193	n	R -:5,7,10,13,15,16,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,115,116,123,126,146;?:6,22,48,71,85,88,100,110,112,122,125,128,153;G:2
+194	n	A R:2;-:5,7,10,13,15,16,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,115,116,123,126,146;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+195	n	N -:5,7,10,13,15,16,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,115,116,123,126,146;?:6,22,48,71,85,88,100,110,112,122,125,128,153;G:2
+196	n	G P:2;-:5,7,10,13,15,16,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,115,116,123,126,146;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+197	n	W -:5,7,10,13,15,16,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,115,116,123,126,146;T:2;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+198	n	S A:2;-:5,7,10,13,15,16,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,115,116,123,126,146;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+199	n	A -:5,7,10,13,15,16,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,115,116,123,126,146;?:6,22,48,71,85,88,100,110,112,122,125,128,153;V:2
+200	n	P R:2;-:5,7,10,13,15,16,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,115,116,123,126,146;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+201	n	P A:2;-:5,7,10,13,15,16,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,115,116,123,126,146;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+202	n	G A:2;-:5,7,10,13,15,16,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,115,116,123,126,146;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+203	n	A -:5,7,10,13,15,16,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,115,116,123,126,146;L:2;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+205	n	A -:5,7,10,13,15,16,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,115,116,123,126,146;?:6,22,48,71,85,88,100,110,112,122,125,128,153;G:2
+206	n	K -:5,7,10,13,15,16,33,35,40,42,47,49,51,61,63,67,72,80,83,84,86,89,90,92,95_98,115,116,123,126,146;E:2;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+245	n	L R:145;-:90,116;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+249	n	G -:90,116;?:6,22,48,71,85,88,100,110,112,122,125,128,153;D:145
+253	n	A T:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+254	n	K ?:6,22,48,71,85,88,100,110,112,122,125,128,153;N:145
+257	n	R H:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+260	n	F N:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+262	n	P L:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+263	n	L G:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+264	n	R G:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+268	n	A P:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+269	n	D ?:6,22,48,71,85,88,100,110,112,122,125,128,153;T:145
+270	n	H T:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+271	n	A P:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+272	n	R A:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+273	n	L R:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+274	n	D R:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+277	n	A G:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+278	n	G P:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+279	n	L ?:6,22,48,71,85,88,100,110,112,122,125,128,153;T:145
+281	n	V L:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+282	n	V A:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+283	n	P Q:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+284	n	A T:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+285	n	E K:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+286	n	L R:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+287	n	G A:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+288	n	G ?:6,22,48,71,85,88,100,110,112,122,125,128,153;F:145
+289	n	A T:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+290	n	A S:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+291	n	G E:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
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+294	n	G S:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+295	n	A I:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+296	n	A ?:6,22,48,71,85,88,100,110,112,122,125,128,153;N:145
+298	n	L I:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+299	n	A T:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+300	n	A P:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+301	n	I ?:6,22,48,71,85,88,100,110,112,122,125,128,153;V:145
+302	n	A Y:145;?:6,22,48,71,85,88,100,110,112,122,125,128,153
+>Rv0651	7549	rplJ	748276	748812	+
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+35	n	T P:148;?:1,2,6
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+669	n	- A:0,2,8,11,20,23,25,28,30,32,35,37,39,43,46,52,54_57,68,69,74_79,81,93,94,99,101,103_109,114,119,123,128,130,136,139,141_144,149_151,154_158,160,161,164,166,170;S:148;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+670	n	- A:148;S:123;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172;G:0,2,8,11,20,23,25,28,30,32,35,37,39,43,46,52,54_57,68,69,74_79,81,93,94,99,101,103_109,114,119,128,130,136,139,141_144,149_151,154_158,160,161,164,166,170
+671	n	- E:148;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172;G:0,2,8,11,20,23,25,28,30,32,35,37,39,43,46,52,54_57,68,69,74_79,81,93,94,99,101,103_109,114,119,123,128,130,136,139,141_144,149_151,154_158,160,161,164,166,170
+672	n	- H:123;S:0,2,8,11,20,23,25,28,30,32,35,37,39,43,46,52,54_57,68,69,74_79,81,93,94,99,101,103_109,114,119,128,130,136,139,141_144,149_151,154_158,160,161,164,166,170;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172;P:148
+673	n	- E:148;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172;G:0,2,8,11,20,23,25,28,30,32,35,37,39,43,46,52,54_57,68,69,74_79,81,93,94,99,101,103_109,114,119,123,128,130,136,139,141_144,149_151,154_158,160,161,164,166,170
+674	n	- A:148;R:123;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172;G:0,2,8,11,20,23,25,28,30,32,35,37,39,43,46,52,54_57,68,69,74_79,81,93,94,99,101,103_109,114,119,128,130,136,139,141_144,149_151,154_158,160,161,164,166,170
+675	n	- C:148;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172;F:0,2,8,11,20,23,25,28,30,32,35,37,39,43,46,52,54_57,68,69,74_79,81,93,94,99,101,103_109,114,119,123,128,130,136,139,141_144,149_151,154_158,160,161,164,166,170
+677	n	- S:148;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172;N:0,2,8,11,20,23,25,28,30,32,35,37,39,43,46,52,54_57,68,69,74_79,81,93,94,99,101,103_109,114,119,123,128,130,136,139,141_144,149_151,154_158,160,161,164,166,170
+678	n	- A:148;S:0,2,8,11,20,23,25,28,30,32,35,37,39,43,46,52,54_57,68,69,74_79,81,93,94,99,101,103_109,114,119,123,128,130,136,139,141_144,149_151,154_158,160,161,164,166,170;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+679	n	- A:123;P:148;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172;G:0,2,8,11,20,23,25,28,30,32,35,37,39,43,46,52,54_57,68,69,74_79,81,93,94,99,101,103_109,114,119,128,130,136,139,141_144,149_151,154_158,160,161,164,166,170
+680	n	- A:148;T:123;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172;N:0,2,8,11,20,23,25,28,30,32,35,37,39,43,46,52,54_57,68,69,74_79,81,93,94,99,101,103_109,114,119,128,130,136,139,141_144,149_151,154_158,160,161,164,166,170
+681	n	- A:123,148;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172;G:0,2,8,11,20,23,25,28,30,32,35,37,39,43,46,52,54_57,68,69,74_79,81,93,94,99,101,103_109,114,119,128,130,136,139,141_144,149_151,154_158,160,161,164,166,170
+682	n	- A:8;P:148;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172;G:0,2,11,20,23,25,28,30,32,35,37,39,43,46,52,54_57,68,69,74_79,81,93,94,99,101,103_109,114,119,123,128,130,136,139,141_144,149_151,154_158,160,161,164,166,170
+683	n	- A:0,2,8,11,20,23,25,28,30,32,35,37,39,43,46,52,54_57,68,69,74_79,81,93,94,99,101,103_109,114,119,130,136,139,141_144,148_151,154_158,160,161,164,166,170;P:123;D:128;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+684	n	- A:123;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172;G:0,2,8,11,20,23,25,28,30,32,35,37,39,43,46,52,54_57,68,69,74_79,81,93,94,99,101,103_109,114,119,128,130,136,139,141_144,148_151,154_158,160,161,164,166,170
+685	n	- A:148;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172;G:0,2,8,11,20,23,25,28,30,32,35,37,39,43,46,52,54_57,68,69,74_79,81,93,94,99,101,103_109,114,119,123,128,130,136,139,141_144,149_151,154_158,160,161,164,166,170
+686	n	- A:0,2,8,11,20,23,25,28,30,32,35,37,39,43,46,52,54_57,68,69,74_79,81,93,94,99,101,103_109,114,119,128,130,136,139,141_144,148_151,154_158,160,161,164,166,170;P:123;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+687	n	- A:123;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172;G:0,2,8,11,20,23,25,28,30,32,35,37,39,43,46,52,54_57,68,69,74_79,81,93,94,99,101,103_109,114,119,128,130,136,139,141_144,148_151,154_158,160,161,164,166,170
+688	n	- A:123;S:148;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172;G:0,2,8,11,20,23,25,28,30,32,35,37,39,43,46,52,54_57,68,69,74_79,81,93,94,99,101,103_109,114,119,128,130,136,139,141_144,149_151,154_158,160,161,164,166,170
+689	n	- A:148;D:0,2,8,11,20,23,25,28,30,32,35,37,39,43,46,52,54_57,68,69,74_79,81,93,94,99,101,103_109,114,119,128,130,136,139,141_144,149_151,154_158,160,161,164,166,170;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172;T:123
+690	n	- A:0,2,8,11,20,23,25,28,30,32,35,37,39,43,46,52,54_57,68,69,74_79,81,93,94,99,101,103_109,114,119,128,130,136,139,141_144,149_151,154_158,160,161,164,166,170;R:123;T:148;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+691	n	- D:151;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172;G:0,2,8,11,20,23,25,28,30,32,35,37,39,43,46,52,54_57,68,69,74_79,81,93,94,99,101,103_109,114,119,128,130,136,139,141_144,149,150,154_158,160,161,164,166,170;V:123
+692	n	L C:123;-:5,7,10,12_16,19,21,24,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82_88,91,92,95_98,100,102,112,113,115_117,120,122,124_126,140,146,148,152,153,159,169;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+693	n	L S:123;-:5,7,10,12_16,19,21,24,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82_88,91,92,95_98,100,102,112,113,115_117,120,122,124_126,140,146,152,153,159,169;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+694	n	V A:148;S:123;-:5,7,10,12_16,19,21,24,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82_88,91,92,95_98,100,102,112,113,115_117,120,122,124_126,140,146,152,153,159,169;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+695	n	G A:123;-:5,7,10,12_16,19,21,24,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82_88,91,92,95_98,100,102,112,113,115_117,120,122,124_126,140,146,152,153,159,169;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172;T:148
+696	n	S A:148;P:123;-:5,7,10,12_16,19,21,24,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82_88,91,92,95_98,100,102,112,113,115_117,120,122,124_126,140,146,152,153,159,169;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+697	n	G A:123,148;-:5,7,10,12_16,19,21,24,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82_88,91,92,95_98,100,102,112,113,115_117,120,122,124_126,140,146,152,153,159,169;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+698	n	G P:148;-:5,7,10,12_16,19,21,24,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82_88,91,92,95_98,100,102,112,113,115_117,120,122,124_126,140,146,152,153,159,169;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+699	n	A P:123;-:5,7,10,12_16,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82_88,91,92,95_98,100,102,112,113,115_117,120,122,124_126,140,146,152,153,159,169;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+700	n	G A:123;-:5,7,10,12_16,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82_88,91,92,95_98,100,102,112,113,115_117,120,122,124_126,140,146,152,153,159,169;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+701	n	G P:148;-:5,7,10,12_16,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82_88,91,92,95_98,100,102,112,113,115_117,120,122,124_126,140,146,152,153,159,169;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+702	n	A P:123;-:5,7,10,12_16,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82_88,91,92,95_98,100,102,112,113,115_117,120,122,124_126,140,146,152,153,159,169;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+703	n	G A:123,148;-:5,7,10,12_16,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82_88,91,92,95_98,100,102,112,113,115_117,120,122,124_126,140,146,152,153,159,169;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+704	n	A P:123;-:5,7,10,12_16,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82_88,91,92,95_98,100,102,112,113,115_117,120,122,124_126,140,146,152,153,159,169;T:148;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+705	n	S P:123;R:148;-:5,7,10,12_16,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82_88,91,92,95_98,100,102,112,113,115_117,120,122,124_126,140,146,152,153,159,169;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+706	n	A P:123;-:5,7,10,12_16,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82,84_88,91,92,95_98,100,102,112,113,115_117,120,122,124_126,146,152,153;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172;V:148
+707	n	T A:8;C:148;-:5,7,10,12_16,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82,84_88,91,92,95_98,100,102,112,113,115_117,120,122,124_126,146,152,153;P:123;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+708	n	G A:123;S:148;-:5,7,10,12_16,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82,84_88,91,92,95_98,100,102,112,113,115_117,120,122,124_126,146,152,153;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+709	n	A P:123;S:148;-:5,7,10,12_16,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82,84_88,91,92,95_98,100,102,112,113,115_117,120,122,124_126,146,152,153;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+710	n	A P:123;-:5,7,10,12_16,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82,84_88,91,92,95_98,100,102,112,113,115_117,120,122,124_126,146,152,153;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+711	n	T P:123,148;-:5,7,10,12_16,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82,84_88,91,92,95_98,100,102,112,113,115_117,120,122,124_126,146,152,153;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+712	n	G A:123,148;-:5,7,10,12_16,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82,84_88,91,92,95_98,100,102,112,113,115_117,120,122,124_126,128,146,152,153;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+714	n	D G:136;P:148;-:5,7,10,12_16,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82,84_88,91,92,95_98,100,102,112,113,115_117,120,122,124_126,128,146,152,153;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+715	n	G A:148;-:5,7,10,12_16,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82,84_88,91,92,95_98,100,102,112,113,115_117,120,122,124_126,128,146,152,153;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+717	n	A P:148;-:5,7,10,12_16,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82,84_88,91,92,95_98,100,102,112,113,115_117,120,122,124_126,128,146,152,153;G:136;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+718	n	G A:148;-:5,7,10,12_16,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82,84_88,91,92,95_98,100,102,112,113,115_117,120,122,124_126,128,146,152,153;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+719	n	G P:148;-:5,7,10,12_15,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82,84,85,91,92,95_98,100,102,112,113,116,117,120,122,124,125,128,153;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+720	n	K P:148;-:5,7,10,12_15,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82,84,85,91,92,95_98,100,102,112,113,116,117,120,122,124,125,128,153;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+721	n	S P:148;-:5,7,10,12_15,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82,84,85,91,92,95_98,100,102,112,113,116,117,120,122,124,125,128,153;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+722	n	G P:148;-:5,7,10,12_15,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82,84,85,91,92,95_98,100,102,112,113,116,117,120,122,124,125,128,153;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+724	n	F P:148;-:5,7,10,12_15,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82,84,85,91,92,95_98,100,102,112,113,116,117,120,122,124,125,128,153;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+725	n	G P:148;-:5,7,10,12_15,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82,84,85,91,92,95_98,100,102,112,113,116,117,120,122,124,125,128,153;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+726	n	L P:148;-:5,7,10,12_15,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82,84,85,91,92,95_98,100,102,112,113,116,117,120,122,124,125,128,153;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+727	n	G A:148;-:5,7,10,12_15,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82,84,85,91,92,95_98,100,102,112,113,116,117,120,122,124,125,128,153;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
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+730	n	G A:148;-:5,7,10,12_15,26,27,31,34,36,40,42,44,45,50,51,53,59_67,71_73,80,82,84,85,91,92,95_98,100,102,112,113,116,117,120,122,124,125,153;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+732	n	A P:148;-:10,12,13,27,31,34,40,42,44,45,50,51,53,59_67,71_73,80,82,91,92,95,97,98,100,102,112,113,116,117,120,122,124,125;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+733	n	G A:148;-:10,12,13,27,31,34,40,42,44,45,50,51,53,59_67,71_73,80,82,91,92,95,97,98,100,102,112,113,116,117,120,122,124,125;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+734	n	G A:148;-:10,12,13,27,31,34,40,42,44,45,50,51,53,59_67,71_73,80,82,91,92,95,97,98,100,102,112,113,116,117,120,122,124,125;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+735	n	A S:148;-:10,12,13,27,31,34,40,42,44,45,50,51,53,59_67,71_73,80,82,91,92,95,97,98,100,102,112,113,116,117,120,122,124,125;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+736	n	T P:148;-:10,12,13,27,31,34,40,42,44,45,50,51,53,59_67,71_73,80,82,91,92,95,97,98,100,102,112,113,116,117,120,122,124,125;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
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+738	n	L R:148;-:80,82,97,100,117,124,125;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+740	n	G -:80,82,97,100,117,124,125;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172;V:148
+741	n	A S:148;-:80,82,97,100,117,124,125;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
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+749	n	G A:148;-:80,82,97,117,124,125;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
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+784	n	A R:123;-:148;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+785	n	G R:123;-:148;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+786	n	G R:123;-:148;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+787	n	A R:123;-:148;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
+788	n	G R:123;-:148;?:3,4,6,9,18,22,33,47,48,89,90,110,111,127,129,131_135,137,138,145,162,163,165,167,168,172
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+88	n	V -:0_2,8,14_17,19,21,22,24,25,27_33,80,81,83_90,100,111,123,124,128_131,137,146_148,151_166,168_172;?:132_134;G:5,9,10,20,23,77_79,92,95_97,103_106,108,109,115,126,127,135,138_144
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+534	n	A -:2,5,7,8,10,11,13_17,19,21,22,24,26,29,31,33_36,40,42,43,45,47_51,60_65,67,68,71_73,76,84_91,96,97,102,112,116,121,122,124,126,129,132,133,140,146,152,153,159,167,169;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163;V:128
+583	n	G -:2,5,7,8,10,11,13_17,19,21,22,24,26,29,31,33_36,40,42,43,45,47_51,60_65,67,68,71_73,76,84_91,96,97,102,112,116,121,122,124,126,128,129,132,133,140,146,152,153,159,167,169;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163;V:164
+654	n	S -:2,5,7,8,10,11,13_17,19,21,22,24,26,29,31,33_36,40,42,43,45,47_51,60_65,67,68,71_73,76,84_91,96,97,102,112,116,121,122,124,126,128,129,132,133,140,146,152,153,159,167,169;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163;N:25,27,28,30,32
+662	n	G M:17;-:2,5,7,8,10,11,13_16,19,21,22,24,26,29,31,33_36,40,42,43,45,47_51,60_65,67,68,71_73,76,84_91,96,97,102,112,116,121,122,124,126,128,129,132,133,140,146,152,153,159,167,169;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+663	n	D -:2,5,7,8,10,11,13_16,19,21,22,24,26,29,31,33_36,40,42,43,45,47_51,60_65,67,68,71_73,76,84_91,96,97,102,112,116,121,122,124,126,128,129,132,133,140,146,152,153,159,167,169;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163;T:17
+664	n	G A:17;-:2,5,7,8,10,11,13_16,19,21,22,24,26,29,31,33_36,40,42,43,45,47_51,60_65,67,68,71_73,76,84_91,96,97,102,112,116,121,122,124,126,128,129,132,133,140,146,152,153,159,167,169;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+665	n	V S:17;-:2,5,7,8,10,11,13_16,19,21,22,24,26,29,31,33_36,40,42,43,45,47_51,60_65,67,68,71_73,76,84_91,96,97,102,112,116,121,122,124,126,128,129,132,133,140,146,152,153,159,167,169;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+666	n	F S:17;-:2,5,7,8,10,11,13_16,19,21,22,24,26,29,31,33_36,40,42,43,45,47_51,60_65,67,68,71_73,76,84_91,96,97,102,112,116,121,122,124,126,128,129,132,133,140,146,152,153,159,167,169;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+667	n	E -:2,5,7,8,10,11,13_16,19,21,22,24,26,29,31,33_36,40,42,43,45,47_51,60_65,67,68,71_73,76,84_91,96,97,102,112,116,121,122,124,126,128,129,132,133,140,146,152,153,159,167,169;R:17;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+668	n	G -:2,5,7,8,10,11,13_16,19,21,22,24,26,29,31,33_36,40,42,43,45,47_51,60_65,67,68,71_73,76,84_91,96,97,102,112,116,121,122,124,126,128,129,132,133,140,146,152,153,159,167,169;D:1,127;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+697	n	G A:136;-:2,5,7,8,10,11,13_16,19,21,22,29,31,33_35,40,42,43,45,47_51,60_65,67,68,71_73,76,84_91,96,97,102,112,116,121,122,124,126,128,129,132,133,140,146,152,153,159,167;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+709	n	L -:2,5,7,8,10,11,13_16,19,21,22,29,31,33_35,40,42,43,45,47_51,60_65,67,68,71_73,76,84_91,96,97,102,112,116,121,122,124,126,128,129,132,133,140,146,152,153,159;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163;V:167
+710	n	G A:167;-:2,5,7,8,10,11,13_16,19,21,22,29,31,33_35,40,42,43,45,47_51,60_65,67,68,71_73,76,84_91,96,97,102,112,116,121,122,124,126,128,129,132,133,140,146,152,153,159;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+711	n	F M:167;-:2,5,7,8,10,11,13_16,19,21,22,29,31,33_35,40,42,43,45,47_51,60_65,67,68,71_73,76,84_91,96,97,102,112,116,121,122,124,126,129,132,133,140,146,152,153,159;L:128;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+712	n	S P:128;-:2,5,7,8,10,11,13_16,19,21,22,29,31,33_35,40,42,43,45,47_51,60_65,67,68,71_73,76,84_91,96,97,102,112,116,121,122,124,126,129,132,133,140,146,152,153,159;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163;V:167
+713	n	V C:128,167;-:2,5,7,8,10,13_16,19,21,22,29,31,33,34,40,42,43,47_49,51,61,62,64,71_73,76,84_91,96,97,112,116,122,126,129,132,140,146,152,153,159;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+714	n	L I:167;C:128;-:2,5,7,8,10,13_16,19,21,22,29,31,33,34,40,42,43,47_49,51,61,62,64,71_73,76,84_91,96,97,112,116,122,126,129,132,140,146,152,153,159;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+715	n	H -:2,5,7,8,10,13_16,19,21,22,29,31,33,34,40,42,43,47_49,51,61,62,64,71_73,76,84_91,96,97,112,116,122,126,129,132,140,146,152,153,159;T:128;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+716	n	G A:128;R:167;-:2,5,7,8,10,13_16,19,21,22,29,31,33,34,40,42,43,47_49,51,61,62,64,71_73,76,84_91,96,97,112,116,122,126,129,132,140,146,152,153,159;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+717	n	G K:167;-:2,5,7,8,10,13_16,19,21,22,29,31,33,34,40,42,43,47_49,51,61,62,64,71_73,76,84_91,96,97,112,116,122,126,129,132,140,146,152,153,159;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+718	n	A E:167;-:2,5,7,8,10,13_16,19,21,22,29,31,33,34,40,42,43,47_49,51,61,62,64,71_73,76,84_91,96,97,112,116,122,126,129,132,140,146,152,153,159;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+762	n	G -:5,7,8,10,13_16,19,22,29,31,33,34,40,42,47_49,51,61,62,64,71_73,76,84,86_91,96,97,112,116,122,126,129,132,140,146,152,153,159,167;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163;V:85
+763	n	V R:85;-:5,7,8,10,13_16,19,22,29,31,33,34,40,42,47_49,61,64,71_73,76,84,86_91,96,97,112,116,122,126,129,132,140,146,152,153,159,167;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+764	n	L A:85;-:5,7,8,10,13_16,19,22,29,31,33,34,40,42,47_49,61,64,71_73,76,84,86_91,96,97,112,116,122,126,129,132,140,146,152,153,159,167;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+767	n	M -:5,7,8,10,13_16,19,22,29,31,33,34,42,47_49,61,64,71_73,76,84,86_91,96,97,112,116,122,126,129,132,140,146,153,159,167;C:85;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+768	n	G -:5,7_10,13_16,19,22,29,31,33,34,42,47_49,61,64,71_73,76,84,86_91,96,97,112,116,117,119,122,126,129,132,140,146,153,159,167;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163;T:85
+769	n	G A:85;-:5,7_10,13_16,19,22,29,31,33,34,42,47_49,61,64,71_73,76,84,86_91,96,97,112,116,117,119,122,126,129,132,140,146,153,159,167;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+770	n	D -:5,7_10,13_16,19,22,29,31,33,34,42,47_49,61,64,71_73,76,84,86_91,96,97,112,116,117,119,122,126,129,132,140,146,153,159,167;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163;T:85
+771	n	G A:85;-:5,7,8,10,13_16,19,22,29,31,33,34,42,47_49,61,64,71_73,76,84,86_91,96,97,112,116,122,126,129,132,140,146,153,159,167;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+772	n	G A:85;-:5,7,8,10,13_16,22,29,31,33,34,42,47_49,61,64,71_73,76,84,86_91,96,97,112,116,122,126,129,132,146,153,159,167;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+773	n	D -:5,7,8,10,13_16,22,29,31,33,34,42,47_49,61,64,71_73,76,84,86_91,96,97,112,116,122,126,129,132,146,153,159,167;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163;T:85
+774	n	G A:85;-:5,7,8,10,13_16,22,29,31,33,34,42,47_49,61,64,71_73,76,84,86_91,96,97,112,116,122,126,129,132,146,153,159,167;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+775	n	G A:85;-:5,7,8,10,13_16,22,29,31,33,34,42,47_49,61,64,71_73,76,84,86_91,96,97,112,116,122,126,129,132,146,153,159,167;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163;V:2
+776	n	E Q:85;-:5,7,8,10,13_16,22,29,31,33,34,42,47_49,61,64,71_73,76,84,86_91,96,97,112,116,122,126,129,132,146,153,159;D:2;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+777	n	A -:5,7,8,10,13_16,22,29,31,33,34,42,47_49,61,64,71_73,76,84,86_91,96,97,112,116,122,126,129,132,146,153,159;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163;G:2;D:167
+778	n	V Q:2;I:167;-:5,7,8,10,13_16,22,29,31,33,34,42,47_49,61,64,71_73,76,84,86_91,96,97,112,116,122,126,129,132,146,153,159;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+779	n	A Q:2;-:5,7,8,10,13_16,22,29,31,33,34,42,47_49,61,64,71_73,76,84,86_91,96,97,112,116,122,126,129,132,146,153,159;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163;N:167
+780	n	V M:167;-:5,7,8,10,13_16,22,29,31,33,34,42,47_49,61,64,71_73,76,84,86_91,96,97,112,116,122,126,132,146,153,159;L:2,129;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+781	n	G W:167;-:2,5,7,8,10,13_16,22,29,31,33,34,42,47_49,61,64,71_73,76,84,86_91,96,97,112,116,122,126,132,146,153,159;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+782	n	I E:167;S:129;-:5,7,8,10,13_16,22,29,31,33,34,42,47_49,61,64,71_73,76,84,86_91,96,97,112,116,122,126,132,146,153,159;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+783	n	A P:129;S:167;-:8,13_15,22,29,31,33,34,42,47_49,61,64,71_73,76,84,87_91,96,97,112,116,122,132,146,153;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+784	n	V L:167;-:8,13_15,22,29,33,34,47_49,71,72,84,87_90,96,97,112,132,146,153;W:129;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+790	n	A -:8,13_15,29,33,34,47_49,71,72,84,87_90,96,97,112,132,146,153;T:167;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163;V:22
+791	n	G P:22;-:8,13_15,29,33,34,47_49,71,72,84,87_90,96,97,112,132,146,153;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163;H:167
+792	n	G P:22;E:167;-:8,13_15,29,33,34,47_49,71,72,84,87_90,96,97,112,132,146,153;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+793	n	A P:22;S:167;-:8,13_15,29,33,34,47_49,71,72,84,87_90,96,97,112,132,146,153;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+795	n	P -:8,13_15,29,33,34,47_49,71,72,84,87_90,96,97,112,132,146,153;L:167;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+797	n	G S:167;-:8,13_15,29,33,34,47_49,71,72,84,87_90,96,97,112,132,146,153;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+802	n	G -:8,13_15,29,33,34,47_49,71,72,84,87_90,96,97,112,132,146,153;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163;V:167
+804	n	N S:167;-:8,13_15,29,33,34,47_49,71,72,84,87_90,96,97,112,132,146,153;G:9_12;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+859	n	V G:166;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+881	n	L X:0;?:3,4,6,18,80,83,92,95,98,100,110,111,115,125,131,135,137,138,145,162,163
+>Rv0835	7017	lpqQ	930953	931597	+
+24	n	S X:0;?:47_66,68_76
+26	n	Q X:0;?:47_66,68_76
+118	n	M I:111;?:47_66,68_76
+143	n	E X:0;?:47_66,68_76
+144	n	S X:0;?:47_66,68_76
+166	n	A ?:47_66,68_76;G:0
+>Rv0836c	719	x	933025	932279	-
+11	n	L H:83_90;?:1,34,36,98
+50	n	V X:0;?:1,34,36,98
+51	n	P X:0;?:1,34,36,98
+77	n	F X:0;?:1,34,36,98
+113	n	P X:0;?:1,34,36,98
+114	n	G X:0;?:1,34,36,98
+162	n	A R:111;?:1,34,36,98
+163	n	D G:111;?:1,34,36,98
+164	n	H ?:1,34,36,98;P:111
+165	n	D R:111;?:1,34,36,98
+166	n	Y L:111;?:1,34,36,98
+167	n	K Q:111;?:1,34,36,98
+168	n	D R:111;?:1,34,36,98
+169	n	G R:111;?:1,34,36,98
+171	n	D R:111;?:1,34,36,98
+172	n	L S:111;?:1,34,36,98
+173	n	A G:111;?:1,34,36,98
+175	n	V G:111;?:1,34,36,98
+182	n	D A:111;?:1,34,36,98
+184	n	D ?:1,34,36,98;V:111
+186	n	L R:111;?:1,34,36,98
+187	n	Y R:111;?:1,34,36,98
+188	n	A P:111;?:1,34,36,98
+189	n	K R:111;?:1,34,36,98
+191	n	D A:111;?:1,34,36,98
+192	n	Q L:111;?:1,34,36,98
+193	n	W R:111;?:1,34,36,98
+194	n	A Q:111;?:1,34,36,98
+195	n	L ?:1,34,36,98;T:111
+199	n	D A:111;?:1,34,36,98
+200	n	F R:111;?:1,34,36,98
+201	n	D Q:111;?:1,34,36,98
+202	n	L C:111;?:1,34,36,98
+203	n	R Q:111;?:1,34,36,98
+204	n	T R:111;?:1,34,36,98
+205	n	A T:111;?:1,34,36,98
+206	n	A G:111;?:1,34,36,98
+207	n	A G:111;?:1,34,36,98
+208	n	A R:111;?:1,34,36,98
+209	n	L R:111;?:1,34,36,98
+210	n	L A:111;?:1,34,36,98
+211	n	G X:0;?:1,34,36,98
+212	n	H D:111;?:1,34,36,98
+213	n	D A:111;?:1,34,36,98
+214	n	M R:111;?:1,34,36,98
+215	n	R H:111;?:1,34,36,98
+216	n	A T:111;?:1,34,36,98
+217	n	S G:111;?:1,34,36,98
+218	n	V R:111;?:1,34,36,98
+219	n	S P:111;?:1,34,36,98
+220	n	A R:111;?:1,34,36,98
+222	n	E A:2,111;?:1,34,36,98
+223	n	A G:111;?:1,34,36,98
+224	n	A P:111;G:2;?:1,34,36,98
+225	n	V A:111;L:2;?:1,34,36,98
+226	n	L R:119;?:1,34,36,98
+227	n	A R:111;?:1,34,36,98
+228	n	T R:111;?:1,34,36,98
+229	n	R G:111;?:1,34,36,98
+230	n	A S:111;?:1,34,36,98;V:2
+231	n	T Q:2;?:1,34,36,98
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+96	n	I R:22;-:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;?:7,14,82,87,93,102,120,125,129,131,151,152
+97	n	A P:22;-:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;?:7,14,82,87,93,102,120,125,129,131,151,152
+98	n	V A:22;-:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;?:7,14,82,87,93,102,120,125,129,131,151,152
+101	n	R A:22;-:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;?:7,14,82,87,93,102,120,125,129,131,151,152
+102	n	V S:22;-:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;?:7,14,82,87,93,102,120,125,129,131,151,152
+103	n	L K:22;-:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;?:7,14,82,87,93,102,120,125,129,131,151,152
+104	n	A -:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;?:7,14,82,87,93,102,120,125,129,131,151,152;N:22
+105	n	T C:22;-:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;?:7,14,82,87,93,102,120,125,129,131,151,152
+106	n	Q P:22;-:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;?:7,14,82,87,93,102,120,125,129,131,151,152
+107	n	G S:22;-:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;?:7,14,82,87,93,102,120,125,129,131,151,152
+108	n	R P:22;-:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;?:7,14,82,87,93,102,120,125,129,131,151,152
+109	n	G R:22;-:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;?:7,14,82,87,93,102,120,125,129,131,151,152
+110	n	A -:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;?:7,14,82,87,93,102,120,125,129,131,151,152;V:22
+111	n	W A:22;-:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;?:7,14,82,87,93,102,120,125,129,131,151,152
+112	n	P -:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;G:22;?:7,14,82,87,93,102,120,125,129,131,151,152
+113	n	V C:22;-:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;?:7,14,82,87,93,102,120,125,129,131,151,152
+114	n	C A:22;-:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;?:7,14,82,87,93,102,120,125,129,131,151,152
+115	n	G A:22;-:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;?:7,14,82,87,93,102,120,125,129,131,151,152
+116	n	R A:22;-:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;?:7,14,82,87,93,102,120,125,129,131,151,152
+145	n	E -:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;K:166;?:7,14,82,87,93,102,120,125,129,131,151,152
+156	n	P -:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;T:63;?:7,14,82,87,93,102,120,125,129,131,151,152
+196	n	V -:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;L:166;?:7,14,82,87,93,102,120,125,129,131,151,152
+210	n	P R:37_41,121;-:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;?:7,14,82,87,93,102,120,125,129,131,151,152
+218	n	A -:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;G:81;?:7,14,82,87,93,102,120,125,129,131,151,152
+219	n	P -:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;?:7,14,82,87,93,102,120,125,129,131,151,152;H:81
+220	n	A R:81;-:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;?:7,14,82,87,93,102,120,125,129,131,151,152
+223	n	A -:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;G:81;?:7,14,82,87,93,102,120,125,129,131,151,152
+224	n	P -:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;T:81;?:7,14,82,87,93,102,120,125,129,131,151,152
+225	n	P -:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,123,124,126,127,132_137,145,146,153,163,167,169_171;T:81;?:7,14,82,87,93,102,120,125,129,131,151,152
+226	n	A P:81;-:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,123,124,126,127,132_137,145,146,153,163,167,169_171;?:7,14,82,87,93,102,120,125,129,131,151,152
+241	n	P S:172;-:3_6,8,10,12,13,15,16,18,19,21,24,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83_86,88_90,92,96_98,100,110,112,116,126,127,132_137,145,146,153,163,167,169_171;?:7,14,82,87,93,102,120,125,129,131,151,152
+306	n	E -:3,4,10,12,13,15,16,18,26,29,33,35,42,47,48,51,57,61,62,64,71_73,80,83,84,86,88,89,92,96,97,100,110,112,116,126,127,132_137,145,153,163;D:1;?:7,14,82,87,93,102,120,125,129,131,151,152
+359	n	P A:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+360	n	P A:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+361	n	G R:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+362	n	D R:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+363	n	V R:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+364	n	T H:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+365	n	E R:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+367	n	P R:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+368	n	A X:0;R:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+369	n	E ?:7,14,82,87,93,102,120,125,129,131,151,152;N:111
+370	n	T A:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+372	n	Q S:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+373	n	V L:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+374	n	S E:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+375	n	N X:0;H:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+376	n	I R:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+377	n	A L:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+379	n	T K:123;E:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+380	n	K E:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+381	n	K A:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+382	n	L ?:7,14,82,87,93,102,120,125,129,131,151,152;V:111
+383	n	W A:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+384	n	Q G:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+385	n	A D:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+386	n	I S:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+388	n	A L:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+389	n	Q R:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+390	n	D Q:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+391	n	V R:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+393	n	G A:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+394	n	N G:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+395	n	D ?:7,14,82,87,93,102,120,125,129,131,151,152;L:111
+397	n	L R:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+398	n	D X:0;?:7,14,82,87,93,102,120,125,129,131,151,152;T:111
+399	n	S A:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+400	n	L ?:7,14,82,87,93,102,120,125,129,131,151,152;V:111
+401	n	A R:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+402	n	Q H:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+403	n	P R:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+405	n	V L:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+406	n	I T:111;?:7,14,82,87,93,102,120,125,129,131,151,152
+>Rv0869c	3954	moaA	967347	966265	-
+-41	p	C T:80;?:0,2_4,110,148
+-40	p	T C:135_137;?:0,2_4,110,148
+136	n	A S:77;-:3,4;?:0,2,110,148
+141	n	G S:169;-:3,4;?:0,2,110,148
+266	n	D ?:0,2,110,148;N:1
+>Rv0870c	4078:1	chaA	967733	967344	-
+26	n	L R:128;?:0,8,22
+27	n	V R:128;?:0,8,22
+41	n	A S:128;?:0,8,22
+42	n	L P:128;?:0,8,22
+44	n	I R:128;?:0,8,22
+45	n	A T:128;?:0,8,22
+46	n	S A:5,7,125_127,129;R:128;?:0,8,22
+47	n	Y C:128;?:0,8,22
+48	n	A G:128;?:0,8,22
+80	n	W R:92;?:0,8,22
+83	n	L P:1;?:0,8,22
+84	n	G R:1;?:0,8,22
+85	n	H A:1;?:0,8,22
+86	n	L ?:0,8,22;F:1
+87	n	V G:1;?:0,8,22
+88	n	S E:1;?:0,8,22
+89	n	A C:1;?:0,8,22
+90	n	A R:1;?:0,8,22
+91	n	A G:1;?:0,8,22
+92	n	M I:17;?:0,8,22;N:1
+93	n	A G:1;?:0,8,22
+94	n	V S:1;?:0,8,22
+95	n	T D:1;?:0,8,22
+96	n	I H:1;?:0,8,22
+97	n	I R:1;?:0,8,22
+98	n	G Q:1;?:0,8,22
+99	n	I ?:0,8,22;F:1
+116	n	L P:135_137;?:0,8,22
+>Rv0871	3259	cspB	967898	968305	+
+36	n	G -:0,2,5,8,98,110,166;?:125;F:115
+72	n	S Y:123;-:0,2,110;?:125
+75	n	R H:123;-:0,2,110;?:125
+94	n	E D:166;?:125
+>Rv0872c	2166:1	PE_PGRS15	970244	968424	-
+4	n	V A:134;-:0,2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,131_133,140,145,152,153,159,162,167,169,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+29	n	N M:131;-:2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,132,133,140,145,152,153,159,162,167,169,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+30	n	A P:131;-:2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,132,133,140,145,152,153,159,162,167,169,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+31	n	A R:131;-:2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,132,133,140,145,152,153,159,162,167,169,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+32	n	A R:131;-:2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,132,133,140,145,152,153,159,162,167,169,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+33	n	L W:131;-:2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,132,133,140,145,152,153,159,162,167,169,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+34	n	A P:131;-:2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,132,133,140,145,152,153,159,162,167,169,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+35	n	P R:131;-:2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,132,133,140,145,152,153,159,162,167,169,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+36	n	T P:131;-:2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,132,133,140,145,152,153,159,162,167,169,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+37	n	T P:131;-:2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,132,133,140,145,152,153,159,162,167,169,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+38	n	G E:131;-:2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,132,133,140,145,152,153,159,162,167,169,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+39	n	V C:131;-:2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,132,133,140,145,152,153,159,162,167,169,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+40	n	L W:131;-:2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,132,133,140,145,152,153,159,162,167,169,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+50	n	A -:2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,132,133,140,145,152,153,159,162,167,169,171;G:131;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+51	n	V A:131;-:2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,132,133,140,145,152,153,159,162,167,169,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+52	n	A -:2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,132,133,140,145,152,153,159,162,167,169,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164;V:131
+53	n	S P:131;-:2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,132,133,140,145,152,153,159,162,167,169,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+54	n	L C:131;-:2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,132,133,140,145,152,153,159,162,167,169,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+56	n	S -:2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,132,133,140,145,152,153,159,162,167,169,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164;F:131
+96	n	S X:0;-:2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,132,133,140,145,152,153,159,162,167,169,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+97	n	P X:0;-:2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,132,133,140,145,152,153,159,162,167,169,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+101	n	A X:0;-:2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,132,133,140,145,152,153,159,162,167,169,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+171	n	A X:91;-:2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,132,133,140,145,152,153,159,162,167,169,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+172	n	G X:91;-:2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,132,133,140,145,152,153,159,162,167,169,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+173	n	G X:91;-:2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,132,133,140,145,152,153,159,162,167,169,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+174	n	A X:91;-:2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,132,133,140,145,152,153,159,162,167,169,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+175	n	G X:91;-:2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,132,133,140,145,152,153,159,162,167,169,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+176	n	A X:91;-:2_8,10,13,16_19,26,42,50,51,59_61,63,65,83,84,86,87,95,96,98,102,111,113,115,122_124,126,128,129,132,133,140,145,152,153,159,162,167,169,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+249	n	D M:167;-:2_8,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,128,129,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+250	n	A P:167;-:2_8,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,128,129,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+251	n	G A:167;-:2_8,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,128,129,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+252	n	S -:2_8,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,128,129,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164;V:167
+253	n	T P:167;-:2_8,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,128,129,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+255	n	T P:167;-:2_8,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,128,129,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+260	n	G -:2_8,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,128,129,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164;D:91,93,94
+317	n	G R:128;-:3_8,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+318	n	G Q:128;-:3_8,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+319	n	S R:128;-:3_8,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+322	n	S Q:128;-:3_8,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+323	n	I A:128;-:3_8,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+324	n	G S:128;-:3_8,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+325	n	N M:8;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;T:128;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+326	n	A Q:8;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+327	n	A P:8;S:128;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+328	n	I Y:8;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;L:128;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+329	n	G R:128;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+330	n	G A:128;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+331	n	N V:128;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+332	n	G P:128;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+333	n	G A:128;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+334	n	A E:128;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+335	n	G R:128;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+336	n	G A:128;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+337	n	N K:128;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+338	n	A P:128;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+339	n	Q R:128;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+365	n	E -:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,128,132,133,140,145,152,153,159,162;K:136;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+388	n	G A:123;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,128,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+389	n	G E:123;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,128,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+390	n	T P:123;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,128,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+397	n	G -:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164;D:128
+398	n	G X:91;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+399	n	L X:91;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+400	n	L X:91;M:128;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+401	n	I X:91;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+402	n	G X:91;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+406	n	A X:64;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+407	n	G A:167;X:64;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+408	n	G A:167;X:64;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+409	n	A X:64;R:167;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+410	n	G A:167;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+415	n	T P:167;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
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+420	n	A P:167;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+422	n	G X:40;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+423	n	G X:35,40;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+424	n	G X:35,40;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+425	n	G X:35,40;S:136;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162,171;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+426	n	G X:35,40;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+427	n	A X:35,40;-:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+437	n	D -:3_7,10,13,16,18,19,26,42,50,51,59_61,63,83,84,86,87,95,96,98,111,115,122,124,126,132,133,140,145,152,153,159,162;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164;N:2
+502	n	S -:3_7,10,18,83,84,86,87,95,115,124,132,153;T:131;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164;F:145
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+504	n	G W:145;-:3_7,10,18,83,84,86,87,95,115,124,132,153;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+505	n	A -:3_7,10,18,83,84,86,87,95,115,124,132,153;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164;V:145
+506	n	G P:145;-:3_7,10,18,83,84,86,87,95,115,124,132,153;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+507	n	G E:145;-:3_7,10,18,83,84,86,87,95,115,124,132,153;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+508	n	A S:145;R:2;-:3_7,10,18,83,84,86,87,95,115,124,132,153;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+516	n	T S:145;-:3_7,10,18,83,84,86,87,95,115,124,132,153;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+517	n	N -:3_7,10,18,83,84,86,87,95,115,124,132,153;T:145;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
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+521	n	G A:145;-:3_7,10,18,83,84,86,87,95,115,124,132,153;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+522	n	A Q:145;-:3_7,10,18,83,84,86,87,95,115,124,132,153;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+523	n	A R:18,145;-:3_7,10,83,84,86,87,95,115,124,132,153;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
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+533	n	N -:3_7,10,83,84,86,87,95,115,124,132,153;T:18;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
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+539	n	A X:40,91;-:3_7,10,83,84,86,87,95,115,124,132,153;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
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+542	n	A X:40,91;-:3_7,10,83,84,86,87,95,115,124,132,153;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+543	n	L X:40,91;-:3_7,10,83,84,86,87,95,115,124,132,153;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+544	n	G X:40,91;-:3_7,10,83,84,86,87,95,115,124,132,153;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
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+546	n	K X:40,91;-:3_7,10,83,84,86,87,95,115,124,132,153;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
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+552	n	L X:40,61,64;-:5,7,10,84,87,153;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+553	n	I X:31,40,61,64;-:5,7,10,84,87,153;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+554	n	G A:22;-:5,7,10,84,87,153;V:124;X:31,40,61,64,122;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
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+556	n	A X:31,40,64,102,122;-:5,7,10,84,87,153;G:22;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+557	n	G Q:22;X:31,40,64,102;-:5,7,10,84,87,153;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+558	n	S X:31,40,42,64,102;R:22;-:5,7,10,84,87,153;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+559	n	D X:35,40,42,64;R:102;-:5,7,10,22,84,87,153;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+560	n	G X:35,40,42,64;-:22,102;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+561	n	G A:42;X:35,40,64;R:22,102;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+562	n	V X:35,40,64;L:42;W:22,102;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+563	n	G X:40,64;R:22,35,102;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164;V:42
+564	n	A P:42;S:124;W:22,35,102;X:40,64;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+565	n	G X:40;C:22,35,102;E:42;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+566	n	G X:40,51;R:22,35,102;E:42;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+567	n	A X:40,51;R:22,35,42,102;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+568	n	G A:42;X:40,51;S:22,35,102;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+569	n	G A:42;X:40,51;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+570	n	A X:40,51;R:22,35,42,102;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164
+571	n	G X:40,51;R:22,35,102;?:1,14,15,33,47_49,71,72,76,80,85,88_90,92,97,100,110,112,116,125,127,137,138,146,164;V:42
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+69	n	A -:1,3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,129,131,136,137,145,146,151_153,162,163,167,169_171;G:98;?:6,18,36,80,89,92,115,123,132_135
+70	n	A Q:98;-:1,3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,129,131,136,137,145,146,151_153,162,163,167,169_171;?:6,18,36,80,89,92,115,123,132_135
+71	n	Y -:1,3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,129,131,136,137,145,146,151_153,162,163,167,169_171;W:98;?:6,18,36,80,89,92,115,123,132_135
+72	n	Q R:98;-:1,3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,129,131,136,137,145,146,151_153,162,163,167,169_171;?:6,18,36,80,89,92,115,123,132_135
+73	n	Q E:128,139_144;-:1,3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,129,131,136,137,145,146,151_153,162,163,167,169_171;?:6,18,36,80,89,92,115,123,132_135
+74	n	R -:1,3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,129,131,136,137,145,146,151_153,162,163,167,169_171;W:98;?:6,18,36,80,89,92,115,123,132_135
+75	n	F R:98;-:1,3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,129,131,136,137,145,146,151_153,162,163,167,169_171;?:6,18,36,80,89,92,115,123,132_135
+82	n	A M:167;-:1,3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_98,100,102,110_112,116,120,122,124_127,129,131,136,137,145,146,151_153,162,163,169_171;?:6,18,36,80,89,92,115,123,132_135
+83	n	G S:117,164;R:167;-:1,3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_98,100,102,110_112,116,120,122,124_127,129,131,136,137,145,146,151_153,162,163,169_171;?:6,18,36,80,89,92,115,123,132_135
+84	n	S P:167;-:1,3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_98,100,102,110_112,116,120,122,124_127,129,131,136,137,145,146,151_153,162,163,169_171;?:6,18,36,80,89,92,115,123,132_135
+85	n	T S:167;-:1,3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_98,100,102,110_112,116,120,122,124_127,129,131,136,137,145,146,151_153,162,163,169_171;?:6,18,36,80,89,92,115,123,132_135
+86	n	Y A:167;-:1,3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_98,100,102,110_112,116,120,122,124_127,129,131,136,137,145,146,151_153,162,163,169_171;?:6,18,36,80,89,92,115,123,132_135
+87	n	A P:167;-:3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_98,100,102,110_112,116,120,122,124_127,129,131,136,137,145,146,151_153,162,163,169_171;?:6,18,36,80,89,92,115,123,132_135
+88	n	V A:1,167;-:3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_98,100,102,110_112,116,120,122,124_127,129,131,136,137,145,146,151_153,162,163,169_171;?:6,18,36,80,89,92,115,123,132_135
+89	n	A P:1;-:3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_98,100,102,110_112,116,120,122,124_127,129,131,136,137,145,146,151_153,162,163,169_171;?:6,18,36,80,89,92,115,123,132_135
+90	n	E A:1;-:3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_98,100,102,110_112,116,120,122,124_127,129,131,136,137,145,146,151_153,162,163,169_171;R:167;?:6,18,36,80,89,92,115,123,132_135
+91	n	A S:167;-:3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_98,100,102,110_112,116,120,122,124_127,129,131,136,137,145,146,151_153,162,163,169_171;?:6,18,36,80,89,92,115,123,132_135
+92	n	A R:1;-:3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_98,100,102,110_112,116,120,122,124_127,129,131,136,137,145,146,151_153,162,163,169_171;?:6,18,36,80,89,92,115,123,132_135
+94	n	A P:167;-:3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_98,100,102,110_112,116,120,122,124_127,129,131,136,137,145,146,151_153,162,163,169_171;?:6,18,36,80,89,92,115,123,132_135
+95	n	T S:1;-:3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_98,100,102,110_112,116,120,122,124_127,129,131,136,137,145,146,151_153,162,163,169_171;?:6,18,36,80,89,92,115,123,132_135
+97	n	L A:1,167;-:3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_98,100,102,110_112,116,120,122,124_127,129,131,136,137,145,146,151_153,162,163,169_171;?:6,18,36,80,89,92,115,123,132_135
+98	n	Q R:1,167;-:3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_98,100,102,110_112,116,120,122,124_127,129,131,136,137,145,146,151_153,162,163,169_171;?:6,18,36,80,89,92,115,123,132_135
+99	n	- N:0,2,12,27_30,32,35,37_39,41,43_45,50,53_60,66,69,70,74,75,77_79,81,93,94,99,101,103_109,113,114,118,121,130,138_144,148_150,154_161,164,166;Q:9,17,20,23,25,46,52,62,68,117,119,128,147,165,168,172;P:167;R:1;?:6,18,36,80,89,92,115,123,132_135
+100	n	- I:9,17,20,23,25,46,52,62,68,117,119,128,147,165,168,172;A:167;?:6,18,36,80,89,92,115,123,132_135;V:0,2,12,27_30,32,35,37_39,41,43_45,50,53_60,66,69,70,74,75,77_79,81,93,94,99,101,103_109,113,114,118,121,130,138_144,148_150,154_161,164,166
+102	n	- G:9,17,20,23,25,46,52,62,68,117,119,128,147,165,168,172;D:0,2,12,27_30,32,35,37_39,41,43_45,50,53_60,66,69,70,74,75,77_79,81,93,94,99,101,103_109,113,114,118,121,130,138_144,148_150,154_161,164,166;?:6,18,36,80,89,92,115,123,132_135
+103	n	- A:0,2,12,27_30,32,35,37_39,41,43_45,50,53_60,66,69,70,74,75,77_79,81,93,94,99,101,103_109,113,114,118,121,130,138_144,148_150,154_161,164,166;?:6,18,36,80,89,92,115,123,132_135;V:9,17,20,23,25,46,52,62,68,117,119,128,136,147,165,168,170,172
+106	n	- A:0,2,12,27_30,32,35,37_39,41,43_45,50,53_60,66,69,70,74,75,77_79,81,93,94,99,101,103_109,113,114,118,121,130,138_144,148_150,154_161,164,166;T:9,17,20,23,25,46,52,62,68,117,119,128,136,147,165,168,170,172;?:6,18,36,80,89,92,115,123,132_135
+108	n	- T:9,17,20,23,25,46,52,62,68,117,119,128,136,147,165,168,170,172;?:6,18,36,80,89,92,115,123,132_135;V:0,2,12,27_30,32,35,37_39,41,43_45,50,53_60,66,69,70,74,75,77_79,81,93,94,99,101,103_109,113,114,118,121,130,138_144,148_150,154_161,164,166
+109	n	- Q:0,2,12,27_30,32,35,37_39,41,43_45,50,53_60,66,69,70,74,75,77_79,81,93,94,99,101,103_109,113,114,118,121,130,138_144,148_150,154_161,164,166;E:9,17,20,23,25,46,52,62,68,117,119,128,136,147,165,168,170,172;?:6,18,36,80,89,92,115,123,132_135
+110	n	- A:9,17,20,23,25,46,52,62,68,117,119,128,136,147,165,168,170,172;S:0,2,12,27_30,32,35,37_39,41,43_45,50,53_60,66,69,70,74,75,77_79,81,93,94,99,101,103_109,113,114,118,121,130,138_144,148_150,154_161,164,166;?:6,18,36,80,89,92,115,123,132_135
+112	n	- T:0,2,12,27_30,32,35,37_39,41,43_45,50,53_60,66,69,70,74,75,77_79,81,93,94,99,101,103_109,113,114,118,121,130,138_144,148_150,154_161,164,166;?:6,18,36,80,89,92,115,123,132_135;V:9,17,20,23,25,46,52,62,68,117,119,128,136,147,165,168,170,172
+115	n	- P:0,2,12,27_30,32,35,37_39,41,43_45,50,53_60,66,69,70,74,75,77_79,81,93,94,99,101,103_109,113,114,118,121,130,138_144,148_150,154_161,164,166;K:9,17,20,23,25,46,52,62,68,117,119,128,136,147,165,168,170,172;?:6,18,36,80,89,92,115,123,132_135
+121	n	A R:1;-:3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_98,100,102,110_112,116,120,122,124_127,129,131,137,145,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+122	n	- H:9,17,20,23,25,46,52,62,68,117,119,128,136,147,165,168,170,172;R:1;?:6,18,36,80,89,92,115,123,132_135;N:0,2,12,27_30,32,35,37_39,41,43_45,50,53_60,66,69,70,74,75,77_79,81,93,94,99,101,103_109,113,114,118,121,130,138_144,148_150,154_161,164,166
+123	n	G C:1;-:3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_98,100,102,110_112,116,120,122,124_127,129,131,137,145,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+124	n	- I:0,2,12,27_30,32,35,37_39,41,43_45,50,53_60,66,69,70,74,75,77_79,81,93,94,99,101,103_109,113,114,118,121,130,138_144,148_150,154_161,164,166;A:9,17,20,23,25,46,52,62,68,117,119,128,136,147,165,168,170,172;R:1;?:6,18,36,80,89,92,115,123,132_135
+125	n	- P:1,9,17,20,23,25,46,52,62,68,117,119,128,136,147,165,168,170,172;D:0,2,12,27_30,32,35,37_39,41,43_45,50,53_60,66,69,70,74,75,77_79,81,93,94,99,101,103_109,113,114,118,121,130,138_144,148_150,154_161,164,166;?:6,18,36,80,89,92,115,123,132_135
+126	n	G R:1;-:3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_98,100,102,110_112,116,120,122,124_127,129,131,137,145,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+127	n	T P:1;-:3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_98,100,102,110_112,116,120,122,124_127,129,131,137,145,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+129	n	Q R:1;-:3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_98,100,102,110_112,116,120,122,124_127,129,131,137,145,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+130	n	A R:1;-:3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_98,100,102,110_112,116,120,122,124_127,129,131,137,145,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+131	n	G Y:1;R:147;-:3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_98,100,102,110_112,116,120,122,124_127,129,131,137,145,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+132	n	G R:1;-:3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_98,100,102,110_112,116,120,122,124_127,129,131,137,145,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+133	n	- A:9,17,20,23,46,117,119,128,136,147,165,168,170,172;R:1;?:6,18,36,80,89,92,115,123,132_135;N:0,2,12,27_30,32,35,37_39,41,43_45,50,53_60,66,69,70,74,75,77_79,81,93,94,99,101,103_109,113,114,118,121,130,138_144,148_150,154_161,164,166
+134	n	G C:1;-:3_5,7,8,10,11,13_16,19,21,22,24_26,31,33,34,40,42,47_49,51,52,61_65,67,68,71_73,76,82_88,90,91,95_98,100,102,110_112,116,120,122,124_127,129,131,137,145,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+136	n	- I:9,17,20,23,46,117,119,128,136,147,165,168,170,172;?:6,18,36,80,89,92,115,123,132_135;W:0_2,12,27_30,32,35,37_39,41,43_45,50,53_60,66,69,70,74,75,77_79,81,93,94,99,101,103_109,113,114,118,121,130,138_144,148_150,154_161,164,166
+148	n	A H:129;-:1,3_5,7,8,10,11,13_16,19,21,22,24_26,31,33,34,40,42,47_49,51,52,61_65,67,68,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,131,137,145,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+150	n	G -:1,3_5,7,8,10,11,13_16,19,21,22,24_26,31,33,34,40,42,47_49,51,52,61_65,67,68,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,131,137,145,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135;D:129
+151	n	Q R:129;-:1,3_5,7,8,10,11,13_16,19,21,22,24_26,31,33,34,40,42,47_49,51,52,61_65,67,68,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,131,137,145,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+152	n	A P:129;-:1,3_5,7,8,10,11,13_16,19,21,22,24_26,31,33,34,40,42,47_49,51,52,61_65,67,68,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,131,137,145,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+153	n	G A:129;-:1,3_5,7,8,10,11,13_16,19,21,22,24_26,31,33,34,40,42,47_49,51,52,61_65,67,68,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,131,137,145,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+154	n	G A:129;-:1,3_5,7,8,10,11,13_16,19,21,22,24_26,31,33,34,40,42,47_49,51,52,61_65,67,68,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,131,137,145,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+155	n	A Q:129;-:1,3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,131,137,145,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+156	n	G R:129;-:1,3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,131,137,145,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+158	n	A -:1,3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,131,137,145,146,151_153,162,163,167,169,171;T:52;?:6,18,36,80,89,92,115,123,132_135
+159	n	A S:147;-:1,3_5,7,8,10,11,13_16,19,21,22,24,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,129,131,137,145,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+163	n	G -:1,3_5,7,8,10,11,13_16,19,21,22,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,137,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135;D:147
+164	n	N P:131;-:1,3_5,7,8,10,11,13_16,19,21,22,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,137,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+165	n	G P:131;-:1,3_5,7,8,10,11,13_16,19,21,22,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,137,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135;D:129
+167	n	A -:1,3_5,7,8,10,11,13_16,19,21,22,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,137,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135;V:145
+168	n	G R:131;-:1,3_5,7,8,10,11,13_16,19,21,22,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,137,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+169	n	G Q:131;-:1,3_5,7,8,10,11,13_16,19,21,22,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,137,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+170	n	T H:131;-:1,3_5,7,8,10,11,13_16,19,21,22,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,137,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+171	n	G A:145;H:131;-:3_5,7,8,10,11,13_16,19,21,22,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,137,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+172	n	G D:129;H:131;-:3_5,7,8,10,11,13_16,19,21,22,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,137,146,151_153,162,163,167,169,171;R:1;?:6,18,36,80,89,92,115,123,132_135
+173	n	A P:131;R:1;-:3_5,7,8,10,11,13_16,19,21,22,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,137,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+174	n	V C:1;I:145;-:3_5,7,8,10,11,13_16,19,21,22,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,137,146,151_153,162,163,167,169,171;R:131;?:6,18,36,80,89,92,115,123,132_135
+175	n	S Q:131;R:1;-:3_5,7,8,10,11,13_16,19,21,22,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,137,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+176	n	L I:145;-:3_5,7,8,10,11,13_16,19,21,22,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,137,146,151_153,162,163,167,169,171;W:1;?:6,18,36,80,89,92,115,123,132_135
+177	n	A Q:131;-:3_5,7,8,10,11,13_16,19,21,22,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,137,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135;G:1,129
+179	n	A S:131;R:1;-:3_5,7,8,10,11,13_16,19,21,22,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,137,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+180	n	G A:131;R:1;-:3_5,7,8,10,11,13_16,19,21,22,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,137,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+181	n	T P:131;R:1;-:3_5,7,8,10,11,13_16,19,21,22,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,137,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+182	n	A G:131;H:1;-:3_5,7,8,10,11,13_16,19,21,22,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,137,146,151_153,162,163,167,169,171;S:145;?:6,18,36,80,89,92,115,123,132_135
+183	n	G W:131;H:1;-:3_5,7,8,10,11,13_16,19,21,22,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,137,146,151_153,162,163,167,169,171;?:6,18,36,80,89,92,115,123,132_135
+184	n	G H:1;-:3_5,7,8,10,11,13_16,19,21,22,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,137,146,151_153,162,163,169,171;R:131;V:167;?:6,18,36,80,89,92,115,123,132_135
+185	n	A D:129;H:1;-:3_5,7,8,10,11,13_16,19,21,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,137,146,151_153,162,163,169,171;M:22;P:167;S:131;V:2;?:6,18,36,80,89,92,115,123,132_135
+186	n	G A:22;D:147;-:3_5,7,8,10,11,13_16,19,21,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,137,146,151_153,162,163,169,171;P:1,2;R:129;T:131;?:6,18,36,80,89,92,115,123,132_135
+187	n	R -:3_5,7,8,10,11,13_16,19,21,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,137,146,151_153,162,163,169,171;D:2;?:6,18,36,80,89,92,115,123,132_135
+188	n	G Q:1;-:3_5,7,8,10,11,13_16,19,21,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,137,146,151_153,162,163,169,171;?:6,18,36,80,89,92,115,123,132_135;D:167
+189	n	P A:2;-:3_5,7,8,10,11,13_16,19,21,22,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,131,137,146,151_153,162,163,169,171;L:1;?:6,18,36,80,89,92,115,123,132_135
+190	n	V Q:1;C:2;-:3_5,7,8,10,11,13_16,19,21,22,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,131,137,146,151_153,162,163,169,171;?:6,18,36,80,89,92,115,123,132_135
+191	n	G R:1,2;-:3_5,7,8,10,11,13_16,19,21,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,131,137,146,151_153,162,163,169,171;?:6,18,36,80,89,92,115,123,132_135
+192	n	G S:1;-:3_5,7,8,10,11,13_16,19,21,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,131,137,146,151_153,162,163,169,171;?:6,18,36,80,89,92,115,123,132_135
+193	n	I A:1;-:3_5,7,10,11,13_16,19,21,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,131,137,146,151_153,162,163,169,171;?:6,18,36,80,89,92,115,123,132_135;V:8
+194	n	G R:1;-:3_5,7,10,11,13_16,19,21,22,26,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_88,90,91,95_97,100,102,110_112,116,120,122,124_127,131,137,146,151_153,162,163,169,171;?:6,18,36,80,89,92,115,123,132_135
+195	n	G S:8;-:3,4,10,11,13,15,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_84,86_88,91,97,100,102,110_112,116,120,122,125,127,131,137,151_153,162,163,171;?:6,18,36,80,89,92,115,123,132_135
+196	n	A -:3,4,10,11,13,15,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_84,86_88,91,97,100,102,110_112,116,120,122,125,127,131,137,151_153,162,163,171;?:6,18,36,80,89,92,115,123,132_135;G:1
+197	n	G X:159;-:3,4,10,11,13,15,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_84,86_88,91,97,100,102,110_112,116,120,122,125,127,131,137,151_153,162,163,171;?:6,18,36,80,89,92,115,123,132_135;V:8
+198	n	G -:3,4,10,11,13,15,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_84,86_88,91,97,100,102,110_112,116,120,122,125,127,131,137,151_153,162,163,171;Q:1;P:8;X:159;?:6,18,36,80,89,92,115,123,132_135
+199	n	V X:159;P:1;-:3,4,10,11,13,15,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_84,86_88,91,97,100,102,110_112,116,120,122,125,127,131,137,151_153,162,163,171;?:6,18,36,80,89,92,115,123,132_135
+201	n	G P:8;-:1,3,4,10,11,13,15,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_84,86_88,91,97,100,102,110_112,116,120,122,125,127,131,137,151_153,162,163,171;?:6,18,36,80,89,92,115,123,132_135
+202	n	A P:8;-:1,3,4,10,11,13,15,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_84,86_88,91,97,100,102,110_112,116,120,122,125,127,131,137,151_153,162,163,171;?:6,18,36,80,89,92,115,123,132_135
+203	n	G A:8;-:1,3,4,10,11,13,15,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_84,86_88,91,97,100,102,110_112,116,120,122,125,127,131,137,151_153,162,163,171;?:6,18,36,80,89,92,115,123,132_135
+204	n	G P:8;-:1,3,4,10,11,13,15,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_84,86_88,91,97,100,102,110_112,116,120,122,125,127,131,137,151_153,162,163,171;?:6,18,36,80,89,92,115,123,132_135
+205	n	A S:8;-:1,3,4,10,11,13,15,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_84,86_88,91,97,100,102,110_112,116,120,122,125,127,131,137,151_153,162,163,171;?:6,18,36,80,89,92,115,123,132_135
+206	n	A P:8;-:1,3,4,10,11,13,15,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_84,86_88,91,97,100,102,110_112,116,120,122,125,127,131,137,151_153,162,163,171;?:6,18,36,80,89,92,115,123,132_135
+207	n	G P:8;-:1,3,4,10,11,13,15,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_84,86_88,91,97,100,102,110_112,116,120,122,125,127,131,137,151_153,162,163,171;?:6,18,36,80,89,92,115,123,132_135
+208	n	A S:8;-:1,3,4,10,11,13,15,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_84,86_88,91,97,100,102,110_112,116,120,122,125,127,131,137,151_153,162,163,171;?:6,18,36,80,89,92,115,123,132_135
+209	n	V P:8;-:1,3,4,10,11,13,15,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_84,86_88,91,97,100,102,110_112,116,120,122,125,127,131,137,151_153,162,163,171;?:6,18,36,80,89,92,115,123,132_135
+210	n	T R:1;-:3,4,10,11,13,15,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_84,86_88,91,97,100,102,110_112,116,120,122,125,127,131,137,151_153,162,163,171;?:6,18,36,80,89,92,115,123,132_135
+211	n	T Q:1;P:8;-:3,4,10,11,13,15,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_84,86_88,91,97,100,102,110_112,116,120,122,125,127,131,137,151_153,162,163,171;?:6,18,36,80,89,92,115,123,132_135
+212	n	I A:8;R:1;-:3,4,10,11,13,15,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_84,86_88,91,97,100,102,110_112,116,120,122,125,127,131,137,151_153,162,163,171;?:6,18,36,80,89,92,115,123,132_135
+213	n	T S:8;-:3,4,10,11,13,15,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_84,86_88,91,97,100,102,110_112,116,120,122,125,127,131,137,151_153,162,163,171;?:6,18,36,80,89,92,115,123,132_135;L:1
+214	n	H R:1;-:3,4,10,11,13,15,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_84,86_88,91,97,100,102,110_112,116,120,122,125,127,131,137,151_153,162,163,171;T:8;?:6,18,36,80,89,92,115,123,132_135
+215	n	A H:1;-:3,4,10,11,13,15,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_84,86_88,91,97,100,102,110_112,116,120,122,125,127,131,137,151_153,162,163,171;I:8;?:6,18,36,80,89,92,115,123,132_135
+216	n	S Q:1;R:8;-:3,4,10,11,13,15,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_84,86_88,91,97,100,102,110_112,116,120,122,125,127,131,137,151_153,162,163,171;?:6,18,36,80,89,92,115,123,132_135
+218	n	N R:1;-:3,4,8,10,11,13,15,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_84,86_88,91,97,100,102,110_112,116,120,122,125,127,131,137,151_153,162,163,171;?:6,18,36,80,89,92,115,123,132_135
+219	n	D Q:1;-:3,4,8,10,11,13,15,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_84,86_88,91,97,100,102,110_112,116,120,122,125,127,131,137,151_153,162,163,171;?:6,18,36,80,89,92,115,123,132_135
+220	n	P R:1;-:3,4,8,10,11,13,15,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_84,86_88,91,97,100,102,110_112,116,120,122,125,127,131,137,151_153,162,163,171;?:6,18,36,80,89,92,115,123,132_135
+221	n	H -:3,4,10,11,13,15,31,33,34,40,42,47_49,51,61,63_65,67,71_73,76,82_84,86_88,91,97,100,102,110_112,116,120,122,125,127,131,137,151_153,162,163,171;T:8;?:6,18,36,80,89,92,115,123,132_135
+224	n	A -:3,4,86,87,110,125,127,131,137,152,153,162,171;?:6,18,36,80,89,92,115,123,132_135;G:1
+225	n	V -:3,4,86,87,110,125,127,131,137,152,153,162,171;D:1;?:6,18,36,80,89,92,115,123,132_135
+226	n	N Q:1;-:3,4,86,87,110,125,127,131,137,152,153,162,171;?:6,18,36,80,89,92,115,123,132_135
+227	n	P M:137;-:3,4,86,87,110,125,127,131,152,153,162,171;?:6,18,36,80,89,92,115,123,132_135
+228	n	G S:111;R:1;-:3,4,86,87,110,125,127,131,152,153,162,171;?:6,18,36,80,89,92,115,123,132_135
+229	n	G H:1;S:111;-:3,4,86,87,110,125,127,137,152,153,162,171;?:6,18,36,80,89,92,115,123,132_135
+230	n	N H:1;-:3,4,86,87,110,125,127,137,152,153,162,171;?:6,18,36,80,89,92,115,123,132_135
+231	n	V I:10,26,164;H:1;-:3,4,86,87,110,125,127,137,152,153,162,171;?:6,18,36,80,89,92,115,123,132_135
+232	n	Y R:1;-:3,4,86,87,110,125,127,152,153,162,171;?:6,18,36,80,89,92,115,123,132_135;F:137
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+255	n	P Q:1;-:3,4,10,26,86,87,110,125,127,152,153,162,171;?:6,18,36,80,89,92,115,123,132_135
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+257	n	T -:3,4,86,87,110,125,127,152,153,162,171;G:1;?:6,18,36,80,89,92,115,123,132_135
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+260	n	N -:3,4,86,87,110,125,127,152,153,162,171;D:1;?:6,18,36,80,89,92,115,123,132_135
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+263	n	S -:3,4,86,87,110,125,127,152,153,162,171;D:1;?:6,18,36,80,89,92,115,123,132_135
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+265	n	V Q:1;-:3,4,86,87,110,125,127,152,153,162,171;?:6,18,36,80,89,92,115,123,132_135
+266	n	A H:1;-:3,4,86,87,110,125,127,152,153,162,171;?:6,18,36,80,89,92,115,123,132_135
+267	n	V R:1;-:3,4,86,87,110,125,127,152,153,162,171;?:6,18,36,80,89,92,115,123,132_135
+268	n	S H:1;-:3,4,86,87,110,125,127,152,153,162,171;?:6,18,36,80,89,92,115,123,132_135
+269	n	P R:1;-:3,4,86,87,110,125,127,152,153,162,171;?:6,18,36,80,89,92,115,123,132_135
+270	n	V -:3,4,86,87,110,125,127,152,153,162,171;L:1;?:6,18,36,80,89,92,115,123,132_135
+290	n	T H:1;?:6,18,36,80,89,92,115,123,132_135
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+297	n	S R:1;?:6,18,36,80,89,92,115,123,132_135
+299	n	I ?:6,18,36,80,89,92,115,123,132_135;G:1
+300	n	T P:3,4;W:1;?:6,18,36,80,89,92,115,123,132_135
+301	n	V R:1;?:6,18,36,80,89,92,115,123,132_135
+302	n	G S:1;?:6,18,36,80,89,92,115,123,132_135
+304	n	A P:1;?:6,18,36,80,89,92,115,123,132_135
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+318	n	Y R:1;?:6,18,36,80,89,92,115,123,132_135
+319	n	V C:1;?:6,18,36,80,89,92,115,123,132_135
+320	n	T R:1;?:6,18,36,80,89,92,115,123,132_135
+>Rv0979A	6350	rpmF	1094886	1095059	+
+3	n	V X:0;?:3,4,6,18,22,110,111,115,125,167
+9	n	S X:0;?:3,4,6,18,22,110,111,115,125,167
+25	n	T ?:3,4,6,18,22,110,111,115,125,167;D:166
+26	n	E R:166;?:3,4,6,18,22,110,111,115,125,167
+35	n	H R:166;?:3,4,6,18,22,110,111,115,125,167
+36	n	A C:166;?:3,4,6,18,22,110,111,115,125,167
+37	n	H D:166;?:3,4,6,18,22,110,111,115,125,167
+38	n	K R:166;?:3,4,6,18,22,110,111,115,125,167
+39	n	V R:166;?:3,4,6,18,22,110,111,115,125,167
+40	n	P R:166;?:3,4,6,18,22,110,111,115,125,167
+41	n	R S:166;?:3,4,6,18,22,110,111,115,125,167
+43	n	L P:166;?:3,4,6,18,22,110,111,115,125,167
+44	n	L Q:166;?:3,4,6,18,22,110,111,115,125,167
+45	n	K G:166;?:3,4,6,18,22,110,111,115,125,167
+47	n	A S:166;?:3,4,6,18,22,110,111,115,125,167
+48	n	R A:166;?:3,4,6,18,22,110,111,115,125,167
+51	n	L R:166;?:3,4,6,18,22,110,111,115,125,167
+52	n	I P:166;?:3,4,6,18,22,110,111,115,125,167
+53	n	D A:166;?:3,4,6,18,22,110,111,115,125,167
+54	n	F R:166;?:3,4,6,18,22,110,111,115,125,167
+55	n	D P:166;?:3,4,6,18,22,110,111,115,125,167
+56	n	K H:166;?:3,4,6,18,22,110,111,115,125,167;N:124
+>Rv0980c	71	PE_PGRS18	1096451	1095078	-
+40	n	A -:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167;V:1
+43	n	- Q:1,12,20,23,28,30,34,35,39,41,43,45,52,55,57,62,66,68_70,76,78,79,93,94,114,119,139,141_144,149,168;H:0,8,9,13,25,27,29,32,37,38,44,46,50,53,54,56,58,74,75,77,81,99,101,103_109,121,123,130,138,147,148,150,154_158,160_162,164_166,172;?:3,4,6,18,22,92,111,115,132_134,167
+50	n	I A:128;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_127,129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+51	n	A -:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_127,129,131,135_137,140,145,146,151_153,159,163,169_171;G:128;?:3,4,6,18,22,92,111,115,132_134,167
+53	n	L I:128;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_127,129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+54	n	F H:128;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_127,129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+55	n	G H:128;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_127,129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+56	n	S H:128;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_127,129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+57	n	H A:137;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_127,129,131,135,136,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+58	n	G P:128;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_127,129,131,135,136,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+59	n	Q R:128,137;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_127,129,131,135,136,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+60	n	H Q:128;R:137;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_127,129,131,135,136,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+61	n	Y -:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_127,129,131,135,136,140,145,146,151_153,159,163,169_171;L:128;?:3,4,6,18,22,92,111,115,132_134,167
+62	n	Q R:137;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_127,129,131,135,136,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+63	n	A R:128,137;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_127,129,131,135,136,140,145,146,151_153,159,163,169_171;T:117;?:3,4,6,18,22,92,111,115,132_134,167
+64	n	I -:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135,136,140,145,146,151_153,159,163,169_171;T:8;V:117;Y:137;?:3,4,6,18,22,92,111,115,132_134,167
+65	n	S A:8;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;T:117;?:3,4,6,18,22,92,111,115,132_134,167
+66	n	A S:8;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;G:117;?:3,4,6,18,22,92,111,115,132_134,167
+67	n	Q S:117;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;T:8;?:3,4,6,18,22,92,111,115,132_134,167
+68	n	V I:8,117;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+69	n	A P:117;K:8;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+70	n	A R:8;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;D:117;?:3,4,6,18,22,92,111,115,132_134,167
+71	n	Y S:8;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;G:117;?:3,4,6,18,22,92,111,115,132_134,167
+72	n	Q A:8;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;T:117;?:3,4,6,18,22,92,111,115,132_134,167
+73	n	- C:117;E:0,1,9,27_30,32,34,35,37_39,41,43_46,50,53_58,66,69,70,74_76,81,93,94,99,101,103_109,114,119,121,123,130,138,139,141_144,148,150,156,160;Q:12,13,20,23,25,52,62,68,77_79,147,149,154,155,157,158,161,162,164_166,168,172;R:8;?:3,4,6,18,22,92,111,115,132_134,167
+74	n	R A:117;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+75	n	F Y:117;S:8;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+76	n	V R:8,117;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+77	n	L P:8;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167;V:117
+78	n	A -:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;T:8;?:3,4,6,18,22,92,111,115,132_134,167
+79	n	L R:8;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167;V:117
+80	n	S -:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167;N:8,117
+81	n	Q -:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;G:8;?:3,4,6,18,22,92,111,115,132_134,167
+82	n	A S:8;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;G:117;?:3,4,6,18,22,92,111,115,132_134,167
+83	n	- C:8;S:0,9,12,13,27_30,32,34,35,37_39,41,43_46,50,53_58,66,69,70,74_76,81,99,101,103_109,114,119,121,123,130,147_150,162,164_166,168;?:3,4,6,18,22,92,111,115,132_134,167;G:1,20,23,25,52,62,68,77_79,93,94,117,138,139,141_144,154_158,160,161,172
+84	n	S -:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167;N:117
+85	n	T I:117;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+87	n	A -:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167;V:117
+88	n	V -:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;T:117;?:3,4,6,18,22,92,111,115,132_134,167
+89	n	A -:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167;N:117
+90	n	E Q:117;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+91	n	A -:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167;F:117
+92	n	A S:117;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+93	n	S -:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167;N:117
+94	n	A -:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;T:117;?:3,4,6,18,22,92,111,115,132_134,167
+99	n	N Q:9,119;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+100	n	V I:9,119;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+101	n	L -:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167;V:117
+102	n	D G:9,119;S:117;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+103	n	A -:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167;V:9,117,119
+105	n	N -:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;D:117;?:3,4,6,18,22,92,111,115,132_134,167
+106	n	A P:117;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;T:9,119;?:3,4,6,18,22,92,111,115,132_134,167
+107	n	P A:117;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+108	n	V -:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;T:9,117,119;?:3,4,6,18,22,92,111,115,132_134,167
+109	n	Q E:9,119;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167;N:117
+110	n	S A:9,119;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;T:117;?:3,4,6,18,22,92,111,115,132_134,167
+111	n	L -:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167;V:117
+112	n	T -:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167;V:9,119
+114	n	R S:117;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+115	n	P K:9,119;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+116	n	L I:117;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,118,120,122,124_129,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+120	n	G R:9;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_129,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+122	n	N A:131;H:9,119;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_129,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+124	n	I A:9,119,131;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_129,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+125	n	D P:9,119,131;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_129,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+133	n	N A:9,119,131;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_129,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+136	n	W I:9,119,131;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_129,135,136,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+142	n	G S:128;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_127,129,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+143	n	N A:128;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_127,129,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+144	n	G R:128;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_127,129,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+146	n	S -:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_127,129,135_137,140,145,146,151_153,159,163,169_171;G:128;?:3,4,6,18,22,92,111,115,132_134,167
+148	n	A Q:128;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_127,129,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+151	n	Q R:128;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_127,129,135_137,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+170	n	A -:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169_171;T:9,119;?:3,4,6,18,22,92,111,115,132_134,167
+187	n	G H:137;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_129,131,135,136,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+188	n	A R:137;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_129,131,135,136,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+189	n	G C:137;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_129,131,135,136,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+190	n	G R:137;-:2,5,7,10,11,14_17,19,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116_118,120,122,124_129,131,135,136,140,145,146,151_153,159,163,169_171;?:3,4,6,18,22,92,111,115,132_134,167
+237	n	G -:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167;V:1
+238	n	D -:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167;N:1
+239	n	G R:1;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+240	n	G C:1;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+241	n	T -:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,131,135_137,140,145,146,151_153,159,163,169,171;G:1;?:3,4,6,18,22,92,111,115,132_134,167
+242	n	G -:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;W:1;?:3,4,6,18,22,92,111,115,132_134,167
+243	n	G -:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;T:1;?:3,4,6,18,22,92,111,115,132_134,167
+244	n	T R:1,148;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+245	n	G R:1,148;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+246	n	G R:148;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+247	n	A G:148;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;P:117;R:1;?:3,4,6,18,22,92,111,115,132_134,167
+248	n	V R:1;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,120,122,124_129,135_137,140,145,146,148,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+249	n	S R:117;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,120,122,124_129,135_137,140,145,146,148,151_153,159,163,169,171;D:1;?:3,4,6,18,22,92,111,115,132_134,167
+250	n	L R:1;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,120,122,124_129,135_137,140,145,146,148,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+251	n	A P:1;Q:148;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+252	n	R H:148;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+253	n	A Q:148;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+255	n	T R:148;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+256	n	A -:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;T:148;?:3,4,6,18,22,92,111,115,132_134,167
+257	n	G A:148;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+260	n	G Q:148;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+261	n	G H:148;R:131;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+263	n	P K:148;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+264	n	A -:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167;V:25,27,30,32,52,62,68,131
+265	n	G X:34;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+266	n	G X:34;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+267	n	I X:34;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+268	n	G X:34;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+269	n	G R:34;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+270	n	A R:34;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;T:1,123,147,149,150,162,164,165,168,170,172;?:3,4,6,18,22,92,111,115,132_134,167
+271	n	G C:34;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+273	n	V -:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;W:34;?:3,4,6,18,22,92,111,115,132_134,167
+275	n	G R:34;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+276	n	A R:34;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+277	n	G C:34;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,117,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+278	n	G R:34;-:2,5,7,10,11,14_17,21,24,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82_91,95_98,100,102,110,112,113,116,120,122,124_129,135_137,140,145,146,151_153,159,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167;D:117
+279	n	A P:117;-:10,11,14,15,17,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82,84_87,89,91,95,98,100,102,110,112,113,116,120,122,124,125,127_129,135,136,145,152,153,163,169,171;W:34;?:3,4,6,18,22,92,111,115,132_134,167
+280	n	A -:10,11,14,15,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82,85_87,89,91,95,98,100,102,110,112,113,116,120,122,124,125,127_129,135,136,145,152,153,163,169,171;G:34;?:3,4,6,18,22,92,111,115,132_134,167;T:117
+281	n	G R:34;-:10,11,14,15,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82,85_87,89,91,95,98,100,102,110,112,113,116,120,122,124,125,127_129,135,136,145,152,153,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+282	n	A R:34;-:10,11,14,15,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82,85_87,89,91,95,98,100,102,110,112,113,116,120,122,124,125,127_129,135,136,145,152,153,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167;V:117
+283	n	V R:34;-:10,11,14,15,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82,85_87,89,91,95,98,100,102,110,112,113,116,120,122,124,125,127_129,135,136,145,152,153,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+284	n	T R:34;-:10,11,14,15,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82,85_87,89,91,95,98,100,102,110,112,113,116,120,122,124,125,127_129,135,136,145,152,153,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+285	n	T H:34;-:10,11,14,15,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82,85_87,89,91,95,98,102,110,112,113,116,120,122,124,125,127_129,135,136,145,152,153,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+286	n	I H:34;S:137;-:10,11,14,15,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82,85_87,89,91,95,98,102,110,112,113,116,120,122,124,125,127_129,135,136,145,152,153,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+287	n	T H:34;-:10,11,14,15,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82,85_87,89,91,95,98,102,110,112,113,116,120,122,124,125,127_129,135,136,145,152,153,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+289	n	A P:34;-:10,11,14,15,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82,85_87,89,91,95,98,102,110,112,113,116,120,122,124,125,127_129,135,136,145,152,153,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+290	n	S R:34;-:10,11,14,15,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82,85_87,89,91,95,98,102,110,112,113,116,120,122,124,125,127_129,135,136,145,152,153,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+291	n	F Q:34;-:10,11,14,15,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82,85_87,89,91,95,98,102,110,112,113,116,120,122,124,125,127_129,135,136,145,152,153,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+292	n	N -:10,11,14,15,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82,85_87,89,91,95,98,102,110,112,113,116,120,122,124,125,127_129,135,136,145,152,153,163,169,171;L:34;?:3,4,6,18,22,92,111,115,132_134,167
+293	n	D Q:34;-:10,11,14,15,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82,85_87,89,91,95,98,102,110,112,113,116,120,122,124,125,127_129,135,136,145,152,153,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+294	n	P R:34;-:10,11,14,15,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82,85_87,89,91,95,98,102,110,112,113,116,120,122,124,125,127_129,135,136,145,152,153,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+295	n	H S:34;-:10,11,14,15,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82,85_87,89,91,95,98,102,110,112,113,116,120,122,124,125,127_129,135,136,145,152,153,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+296	n	G A:34;-:10,11,14,15,26,31,33,36,40,42,47_49,51,59_61,63_65,67,71_73,80,82,85_87,89,91,95,98,102,110,112,113,116,120,122,124,125,127_129,135,136,145,152,153,163,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+297	n	V R:34;-:10,15,36,80,82,85_87,89,95,98,110,124,125,127,128,135,145,152,153,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+298	n	A -:10,15,36,80,82,85_87,89,95,98,110,124,125,127,128,135,145,152,153,169,171;G:34;?:3,4,6,18,22,92,111,115,132_134,167
+299	n	V -:10,15,36,80,82,85_87,89,95,98,110,124,125,127,128,135,145,152,153,169,171;G:34;?:3,4,6,18,22,92,111,115,132_134,167
+300	n	N -:10,15,36,80,82,85_87,89,95,98,110,124,125,127,128,135,145,152,153,169,171;G:34;?:3,4,6,18,22,92,111,115,132_134,167
+301	n	P Q:34;-:10,15,36,80,82,85_87,89,95,98,110,124,125,127,128,135,145,152,153,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+302	n	G P:34;-:10,15,36,80,82,85_87,89,95,98,110,124,125,127,128,135,145,152,153,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+304	n	N R:34;-:10,15,36,80,82,85_87,89,95,98,110,124,125,127,135,145,152,153,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+305	n	I Q:34;-:10,15,36,80,82,85_87,89,95,98,110,124,125,127,135,145,152,153,169,171;?:3,4,6,18,22,92,111,115,132_134,167;V:26
+306	n	Y H:34;-:10,15,36,80,82,85_87,89,95,98,110,124,125,127,135,145,152,153,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+307	n	V -:10,15,36,80,82,85_87,89,95,98,110,124,125,127,135,145,152,153,169,171;L:34;?:3,4,6,18,22,92,111,115,132_134,167
+308	n	T R:34;-:10,15,36,80,82,85_87,89,95,98,110,124,125,127,135,145,152,153,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+309	n	N H:34;-:10,15,36,80,82,85_87,89,95,98,110,124,125,127,135,145,152,153,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+310	n	Q -:10,15,36,80,82,85_87,89,95,98,110,124,125,127,135,145,152,153,169,171;?:3,4,6,18,22,92,111,115,132_134,167;F:26,45
+311	n	G P:34;-:10,15,36,80,82,85_87,89,95,98,110,124,125,127,135,145,152,153,169,171;?:3,4,6,18,22,92,111,115,132_134,167
+312	n	S -:10,15,36,80,82,85_87,89,95,98,110,124,125,127,135,145,152,153,169,171;G:34;?:3,4,6,18,22,92,111,115,132_134,167
+313	n	N Q:34;-:10,15,36,80,82,85_87,89,95,98,110,124,125,127,135,145,152,153,169,171;G:26,45;?:3,4,6,18,22,92,111,115,132_134,167
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+216	n	P A:129;-:2_4,6,8,10,16,18,26,49,64,83,86,90,91,98,110,111,125,126,137,163;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
+217	n	T -:2_4,6,8,10,16,18,26,49,64,83,86,90,91,98,110,111,125,126,137,163;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167;D:129
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+219	n	R P:129;-:2_4,6,8,10,16,18,26,49,64,83,86,90,91,98,110,111,125,126,137,163;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
+233	n	A R:129;-:2_4,6,8,10,16,18,26,49,64,83,86,90,91,98,110,111,125,126,137,163;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
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+248	n	L I:129;-:2_4,6,8,10,16,18,26,49,64,83,86,90,91,98,110,111,125,126,137,163;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
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+252	n	T R:129;-:2_4,8,10,16,18,26,64,83,86,90,91,98,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
+253	n	P S:129;-:2_4,8,10,16,18,26,64,83,86,90,91,98,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
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+256	n	L C:129;-:2_4,8,10,16,18,26,64,83,86,90,91,98,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
+257	n	L G:129;-:2_4,8,10,16,18,26,64,83,86,90,91,98,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
+259	n	M A:129;-:2_4,8,10,16,18,26,64,83,86,90,91,98,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
+260	n	A R:129;-:2_4,8,10,16,18,26,64,83,86,90,91,98,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
+261	n	A P:129;-:2_4,8,10,16,18,26,64,83,86,90,91,98,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
+263	n	A -:2_4,8,10,16,18,26,64,83,86,90,91,98,125,126,137;G:129;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
+264	n	G R:129;-:2_4,8,10,16,18,26,64,83,86,90,91,98,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
+265	n	L -:2_4,8,10,16,18,26,64,83,86,90,91,98,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167;D:129
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+268	n	V E:129;-:2_4,8,10,16,18,26,64,83,86,90,91,98,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
+269	n	G S:129;-:2_4,8,10,16,18,26,64,83,86,90,91,98,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
+270	n	F A:129;-:2_4,8,10,16,18,26,64,83,86,90,91,98,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
+271	n	P R:129;-:2_4,8,10,16,18,26,64,83,86,90,91,98,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
+272	n	S -:2_4,8,10,16,18,26,64,83,86,90,91,98,125,126,137;D:129;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
+273	n	L G:129;-:2_4,8,10,16,18,26,64,83,86,90,91,98,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
+274	n	P -:2_4,8,10,16,18,26,64,83,86,90,91,98,125,126,137;G:129;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
+276	n	V R:129;-:2_4,8,10,16,18,26,64,83,86,90,91,98,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
+277	n	S R:129;-:2_4,8,10,16,18,26,64,83,86,90,91,98,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
+279	n	T A:129;-:2_4,8,10,16,18,26,64,83,86,90,91,98,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
+280	n	D R:129;-:2_4,8,10,16,18,26,64,83,86,90,91,98,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
+281	n	L R:129;-:2_4,8,10,16,18,26,64,83,86,90,91,98,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
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+288	n	A R:129;-:2_4,8,10,16,18,26,64,83,86,90,91,98,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
+289	n	G C:129;-:2_4,8,10,16,18,26,64,83,86,90,91,98,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
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+293	n	S R:129;-:2_4,8,10,16,18,26,64,83,86,90,91,98,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
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+302	n	P R:129;-:3,4,10,16,18,26,64,86,90,91,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
+303	n	A S:129;-:3,4,10,16,18,26,64,86,90,91,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
+304	n	E A:129;-:3,4,10,16,18,26,64,86,90,91,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
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+306	n	T E:129;-:3,4,10,16,18,26,64,86,90,91,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
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+308	n	L A:129;-:3,4,10,16,18,26,64,86,90,91,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
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+321	n	L G:129;-:3_5,10,16,18,26,64,86,90,91,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
+322	n	P A:129;-:3_5,10,16,18,26,64,86,90,91,125,126,137;?:14,15,33,47,48,71,72,80,84,85,87,92,95_97,100,112,115,116,122,127,128,132_134,146,153,167
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+353	n	- ?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172;W:2,75,120;F:0,1,8,17,20,23,25,27_30,32,35,37,39,44,46,52,53,56,57,66,68,70,74,77_79,81,82,93,94,99,101,103_109,114,123,124,130,136,139,141_144,148,149,152,154_158,160_162,166,169_171
+354	n	- A:2,75,120;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172;G:0,1,8,17,20,23,25,27_30,32,35,37,39,44,46,52,53,56,57,66,68,70,74,77_79,81,82,93,94,99,101,103_109,114,123,124,130,136,139,141_144,148,149,152,154_158,160_162,166,169_171;V:145
+355	n	- A:2,75,120;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172;G:0,1,8,17,20,23,25,27_30,32,35,37,39,44,46,52,53,56,57,66,68,70,74,77_79,81,82,93,94,99,101,103_109,114,123,124,130,136,139,141_145,148,149,152,154_158,160_162,166,169_171
+356	n	- W:145;P:2,75,120;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172;G:0,1,8,17,20,23,25,27_30,32,35,37,39,44,46,52,53,56,57,66,68,70,74,77_79,81,82,93,94,99,101,103_109,114,123,124,130,136,139,141_144,148,149,152,154_158,160_162,166,169_171
+357	n	- A:2,75,120,145;X:70;T:0,1,8,17,20,23,25,27_30,32,35,37,39,44,46,52,53,56,57,66,68,74,77_79,81,82,93,94,99,101,103_109,114,123,124,130,136,139,141_144,148,149,152,154_158,160_162,166,169_171;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+358	n	- A:2,75,120;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172;G:0,1,8,17,20,23,25,27_30,32,35,37,39,44,46,52,53,56,57,66,68,74,77_79,81,82,93,94,99,101,103_109,114,123,124,130,136,139,141_145,148,149,152,154_158,160_162,166,169_171
+359	n	- P:2,75,120;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172;G:0,1,8,17,20,23,25,27_30,32,35,37,39,44,46,52,53,56,57,66,68,74,77_79,81,82,93,94,99,101,103_109,114,123,124,130,136,139,141_145,148,149,152,154_158,160_162,166,169_171
+360	n	- A:2,75,120;V:145;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172;N:0,1,8,17,20,23,25,27_30,32,35,37,39,44,46,52,53,56,57,66,68,74,77_79,81,82,93,94,99,101,103_109,114,123,124,130,136,139,141_144,148,149,152,154_158,160_162,166,169_171
+361	n	- ?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172;G:0,1,8,17,20,23,25,27_30,32,35,37,39,44,46,52,53,56,57,66,68,74,77_79,81,82,93,94,99,101,103_109,114,123,124,130,136,139,141_145,148,149,152,154_158,160_162,166,169_171;V:2,75,120
+362	n	- A:2,75;G:0,1,8,17,20,23,25,27_30,32,35,37,39,44,46,52,53,56,57,66,68,74,77_79,81,82,93,94,99,101,103_109,114,123,124,130,136,139,141_144,148,149,152,154_158,160_162,166,169_171;V:145;X:120;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+363	n	- A:2,75;I:145;N:0,1,8,17,20,23,25,27_30,32,35,37,39,44,46,52,53,56,57,66,68,74,77_79,81,82,93,94,99,101,103_109,114,123,124,130,136,139,141_144,148,149,152,154_158,160_162,166,169_171;X:120;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+364	n	- A:2,75;X:120;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172;G:0,1,8,17,20,23,25,27_30,32,35,37,39,44,46,52,53,56,57,66,68,74,77_79,81,82,93,94,99,101,103_109,114,123,124,130,136,139,141_145,148,149,152,154_158,160_162,166,169_171
+365	n	- H:0,1,8,17,20,23,25,27_30,32,35,37,39,44,46,52,53,56,57,66,68,74,77_79,81,82,93,94,99,101,103_109,114,123,124,130,136,139,141_145,148,149,152,154_158,160_162,166,169_171;S:2,75;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172;X:120
+366	n	- A:0_2,8,17,20,23,25,27_30,32,35,37,39,44,46,52,53,56,57,66,68,74,75,77_79,81,82,93,94,99,101,103_109,114,123,124,130,136,139,141_145,148,149,152,154_158,160_162,166,169_171;X:120;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+367	n	- A:2,75;G:0,1,8,17,20,23,25,27_30,32,35,37,39,44,46,52,53,56,57,66,68,74,77_79,81,82,93,94,99,101,103_109,114,123,124,130,136,139,141_144,148,149,152,154_158,160_162,166,169_171;V:145;X:120;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+368	n	- A:2,75,120;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172;G:0,1,8,17,20,23,25,27_30,32,35,37,39,44,46,52,53,56,57,66,68,74,77_79,81,82,93,94,99,101,103_109,114,123,124,130,136,139,141_144,148,149,152,154_158,160_162,166,169_171;V:145
+369	n	- A:0,1,8,17,20,23,25,27_30,32,35,37,39,44,46,52,53,56,57,66,68,74,77_79,81,82,93,94,99,101,103_109,114,123,124,130,136,139,141_144,148,149,152,154_158,160_162,166,169_171;P:2,75,120;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172;F:145
+370	n	- A:2,75,120,145;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172;G:0,1,8,17,20,23,25,27_30,32,35,37,39,44,46,52,53,56,57,66,68,74,77_79,81,82,93,94,99,101,103_109,114,123,124,130,136,139,141_144,148,149,152,154_158,160_162,166,169_171
+371	n	- A:2,75,120;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172;G:0,1,8,17,20,23,25,27_30,32,35,37,39,44,46,52,53,56,57,66,68,74,77_79,81,82,93,94,99,101,103_109,114,123,124,130,136,139,141_145,148,149,152,154_158,160_162,166,169_171
+372	n	- I:145;S:0,1,8,17,20,23,25,27_30,32,35,37,39,44,46,52,53,56,57,66,68,74,77_79,81,82,93,94,99,101,103_109,114,123,124,130,136,139,141_144,148,149,152,154_158,160_162,166,169_171;T:2,75,120;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+373	n	- A:145;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172;G:0,1,8,17,20,23,25,27_30,32,35,37,39,44,46,52,53,56,57,66,68,74,77_79,81,82,93,94,99,101,103_109,114,123,124,130,136,139,141_144,148,149,152,154_158,160_162,166,169_171;V:2,75,120,167
+374	n	- A:2,75,120,167;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172;G:0,1,8,17,20,23,25,27_30,32,35,37,39,44,46,52,53,56,57,66,68,74,77_79,81,82,93,94,99,101,103_109,114,123,124,130,136,139,141_144,148,149,152,154_158,160_162,166,169_171;V:145
+377	n	G -:10_16,22,24,26,31,33,34,38,40_43,45,47_51,54,55,58_65,67,69_73,76,84_86,90,91,100,102,112,113,116_118,121,122,132_135,137,140,146,150,151,153,159,163;T:2,75,120;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+378	n	L R:2,75,120;-:10_16,22,24,26,31,33,34,38,40_43,45,47_51,54,55,58_65,67,69_73,76,84_86,90,91,100,102,112,113,116_118,121,122,132_135,137,140,146,150,151,153,159,163;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+379	n	L -:10_16,22,24,26,31,33,34,38,40_43,45,47_51,54,55,58_65,67,69_73,75,76,84_86,90,91,100,102,112,113,116_118,120_122,132_135,137,140,146,150,151,153,159,163;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172;V:2
+380	n	G A:2;-:10_16,22,24,26,31,33,34,38,40_43,45,47_51,54,55,58_65,67,69_73,75,76,84_86,90,91,100,102,112,113,116_118,120_122,132_135,137,140,146,150,151,153,159,163;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+381	n	S A:2;-:10_16,22,24,26,31,33,34,38,40_43,45,47_51,54,55,58_65,67,69_73,75,76,84_86,90,91,100,102,112,113,116_118,120_122,132_135,137,140,146,150,151,153,159,163;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+382	n	G A:2;-:10_16,26,31,33,34,38,40_43,45,47_51,54,55,58_65,67,69_73,75,76,84_86,90,91,100,102,112,113,116_118,120_122,132_135,137,140,146,150,151,153,159,163;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+383	n	G P:2;-:10_16,26,31,33,34,38,40_43,45,47_51,54,55,58_65,67,69_73,75,76,84_86,90,91,100,102,112,113,116_118,120_122,132_135,137,140,146,150,151,153,159,163;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+384	n	S P:2;-:10_16,26,31,33,34,38,40_43,45,47_51,54,55,58_65,67,69_73,75,76,84,85,90,91,100,102,112,113,116_118,120_122,132_135,137,140,146,150,151,153,159,163;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+385	n	G A:2;-:10_15,26,31,33,34,38,40_43,45,47_51,54,55,58_65,67,69_73,75,76,84,85,90,91,100,102,112,113,116,118,120_122,132_135,137,140,146,150,151,153,159,163;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+386	n	G C:2;-:10_15,26,31,33,34,38,40_43,45,47_51,54,55,58_65,67,69_73,75,76,84,85,90,91,100,102,112,113,116,118,120_122,132_135,137,140,146,150,151,153,159,163;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+387	n	T S:2;-:10_15,26,31,33,34,38,40_43,45,47_51,54,55,58_65,67,69_73,75,76,84,85,90,91,100,102,112,113,116,118,120_122,132_135,137,140,146,150,151,153,159,163;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+388	n	G A:2;-:10_15,26,31,33,34,38,40_43,45,47_51,54,55,58_65,67,69_73,75,76,84,85,90,91,100,102,112,113,116,118,120_122,132_135,137,140,146,150,151,153,159,163;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+389	n	G A:2;-:10_15,26,31,33,34,38,40_43,45,47_51,54,55,58_65,67,69_73,75,76,84,85,90,91,100,102,112,113,116,118,120_122,132_135,137,140,146,150,151,153,159,163;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+390	n	D -:10_15,26,31,33,34,38,40_43,45,47_51,54,55,58_65,67,69_73,75,76,84,85,90,91,100,102,112,113,116,118,120_122,132_135,137,140,146,150,151,153,159,163;E:2;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+391	n	G A:2;-:10_15,26,31,33,34,38,40_43,45,47_51,54,55,58_65,67,69_73,75,76,84,85,90,91,100,102,112,113,116,118,120_122,132_135,137,140,146,150,151,153,159,163;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+392	n	G A:2;-:10_15,26,31,33,34,38,40_43,45,47_51,54,55,58_65,67,69_73,75,76,84,85,90,91,100,102,112,113,116,118,120_122,132_135,137,140,146,150,151,153,159,163;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+393	n	N X:70;-:10_15,26,31,33,34,38,40_43,45,47_51,54,55,58_65,67,69,71_73,75,76,84,85,90,91,100,102,112,113,116,118,120_122,132_135,137,140,146,150,151,153,159,163;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+394	n	G X:70;-:10_15,26,31,33,34,38,40_43,45,47_51,54,55,58_65,67,69,71_73,75,76,84,85,90,91,100,102,112,113,116,118,120_122,132_135,137,140,146,150,151,153,159,163;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+395	n	G X:70;-:10_15,26,31,33,34,38,40_43,45,47_51,54,55,58_65,67,69,71_73,75,76,84,85,90,91,100,102,112,113,116,118,120_122,132_135,137,140,146,150,151,153,159,163;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+396	n	L A:70;-:10_15,26,31,33,34,38,40_43,45,47_51,54,55,58_65,67,69,71_73,75,76,84,85,90,91,100,102,112,113,116,118,120_122,132_135,137,140,146,150,151,153,159,163;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+397	n	G A:90;-:10_15,26,31,33,34,38,40_43,45,47_51,54,55,58_65,67,69,71_73,75,76,84,85,91,100,102,112,113,116,118,120_122,132_135,137,140,146,150,151,153,159,163;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172;T:70
+398	n	A -:10_15,26,31,33,34,38,40_43,45,47_51,54,55,58_65,67,69,71_73,75,76,84,85,91,100,102,112,113,116,118,120_122,132_135,137,140,146,150,151,153,159,163;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172;V:70
+399	n	G A:70,90;-:10_15,26,31,33,34,38,40_43,45,47_51,54,55,58_65,67,69,71_73,75,76,84,85,91,100,102,112,113,116,118,120_122,132_135,137,140,146,150,151,153,159,163;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+400	n	S G:90;-:10_15,26,31,33,34,38,40_43,45,47_51,54,55,58_65,67,69,71_73,75,76,84,85,91,100,102,112,113,116,118,120_122,132_135,137,140,146,150,151,153,159,163;T:70;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+401	n	G A:70;-:10_15,26,31,33,34,38,40_43,45,47_51,54,55,58_65,67,69,71_73,75,76,84,85,91,100,102,112,113,116,118,120_122,132_135,137,140,146,150,151,153,159,163;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
+402	n	A -:10_15,26,31,33,34,38,40_43,45,47_51,54,55,58_65,67,69,71_73,75,76,84,85,91,100,102,112,113,116,118,120_122,132_135,137,140,146,150,151,153,159,163;T:70;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172;V:90
+403	n	K R:70;-:10_15,26,31,33,34,38,40_43,45,47_51,54,55,58_65,67,69,71_73,75,76,84,85,91,100,102,112,113,116,118,120_122,132_135,137,140,146,150,151,153,159,163;D:90;?:3_7,9,36,80,83,87_89,92,95_98,110,111,115,119,125_129,131,138,147,164,165,168,172
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+60	n	C S:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,124,132,145,147,149,152,166;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122,123,128,140,146,153,159,167;?:14,18,92,110,111,125,131,137
+61	n	H E:124;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122,123,128,140,146,153,159,167;T:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,145,147,149,152,166;?:14,18,92,110,111,125,131,137
+62	n	V E:145;G:115;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122,123,128,140,146,153,159,167;R:124;?:14,18,92,110,111,125,131,137
+63	n	M W:124;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122,123,128,140,146,153,159,167;L:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,145,147,149,152,166;?:14,18,92,110,111,125,131,137
+65	n	H Q:145;P:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,146,153,159,167;?:14,18,92,110,111,125,131,137
+106	n	T A:124;S:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122,123,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137
+107	n	G P:124;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122,123,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137
+108	n	Q I:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;K:124;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122,123,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137
+109	n	G R:124;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122,123,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137
+110	n	G S:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122,123,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137;N:124
+112	n	- Q:124;P:9,20,21,23_25,36_38,40,41,43,44,46,53,54,56_61,64,65,67,72,73,78,79,81,82,86,91,98,99,101_109,112,114,119,126,127,129,130,133_136,138,139,141_144,148,150,151,154_158,160_165,168_172;?:14,18,92,110,111,125,131,137
+113	n	- M:9,20,21,23_25,36_38,40,41,43,44,46,53,54,56_61,64,65,67,72,73,78,79,81,82,86,91,98,99,101_109,112,114,119,126,127,129,130,133_136,138,139,141_144,148,150,151,154_158,160_165,168_172;L:124;?:14,18,92,110,111,125,131,137
+114	n	- A:124;T:9,20,21,23_25,36_38,40,41,43,44,46,53,54,56_61,64,65,67,72,73,78,79,81,82,86,91,98,99,101_109,112,114,119,126,127,129,130,133_136,138,139,141_144,148,150,151,154_158,160_165,168_172;?:14,18,92,110,111,125,131,137
+115	n	- A:124;C:9,20,21,23_25,36_38,40,41,43,44,46,53,54,56_61,64,65,67,72,73,78,79,81,82,86,91,98,99,101_109,112,114,119,126,127,129,130,133_136,138,139,141_144,148,150,151,154_158,160_165,168_172;?:14,18,92,110,111,125,131,137
+124	n	F -:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;T:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;?:14,18,92,110,111,125,131,137
+125	n	F R:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137
+128	n	T R:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137
+137	n	- Q:9,20,21,23_25,36_38,40,41,43,44,46,53,54,56_61,64,65,67,72,73,78,79,81,82,86,91,98,99,101_109,112,114,119,126,127,129,130,133_136,138,139,141_144,148,150,151,154_158,160_165,168_172;D:124;?:14,18,92,110,111,125,131,137
+138	n	- L:9,20,21,23_25,36_38,40,41,43,44,46,53,54,56_61,64,65,67,72,73,78,79,81,82,86,91,98,99,101_109,112,114,119,126,127,129,130,133_136,138,139,141_144,148,150,151,154_158,160_165,168_172;?:14,18,92,110,111,125,131,137;T:124
+140	n	- S:9,20,21,23_25,36_38,40,41,43,44,46,53,54,56_61,64,65,67,72,73,78,79,81,82,86,91,98,99,101_109,112,114,119,126,127,129,130,133_136,138,139,141_144,148,150,151,154_158,160_165,168_172;R:124;?:14,18,92,110,111,125,131,137
+142	n	I M:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122,123,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137;H:124
+143	n	S A:124;R:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122,123,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137
+144	n	E C:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,124,132,147,149,152,166;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122,123,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137
+145	n	T C:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,124,132,147,149,152,166;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122,123,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137
+147	n	R -:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122,123,128,140,145,146,153,159,167;L:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,124,132,147,149,152,166;?:14,18,92,110,111,125,131,137
+148	n	E -:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122,123,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137;G:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,124,132,147,149,152,166
+169	n	- A:145;S:9,20,21,23_25,36_38,40,41,43,44,46,53,54,56_61,64,65,67,72,73,78,79,81,82,86,91,98,99,101_109,112,114,119,126,127,129,130,133_136,138,139,141_144,148,150,151,154_158,160_165,168_172;?:14,18,92,110,111,125,131,137
+170	n	G -:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122,123,128,140,146,153,159,167;?:14,18,92,110,111,125,131,137;V:145
+171	n	L R:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,124,132,147,149,152,166;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122,123,128,140,146,153,159,167;?:14,18,92,110,111,125,131,137
+172	n	P A:145;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122,123,128,140,146,153,159,167;?:14,18,92,110,111,125,131,137
+173	n	G A:145;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122,123,128,140,146,153,159,167;?:14,18,92,110,111,125,131,137
+174	n	G I:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,124,132,147,149,152,166;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122,123,128,140,146,153,159,167;?:14,18,92,110,111,125,131,137
+175	n	G A:124;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122,123,128,140,146,153,159,167;?:14,18,92,110,111,125,131,137
+176	n	P C:115;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122,123,128,140,146,153,159,167;R:145;W:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,117,118,120,121,124,132,147,149,152,166;?:14,18,92,110,111,125,131,137
+177	n	E H:145;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122,123,128,140,146,153,159,167;P:124;R:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;?:14,18,92,110,111,125,131,137
+178	n	V S:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122,123,128,140,146,153,159,167;T:145;?:14,18,92,110,111,125,131,137
+179	n	A P:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122,123,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137
+180	n	P R:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137
+181	n	E R:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137
+182	n	L -:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;W:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;?:14,18,92,110,111,125,131,137
+183	n	C R:1;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137
+184	n	D A:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137
+185	n	D E:115;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137
+223	n	T C:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137
+227	n	A S:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137
+228	n	A R:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137
+229	n	L A:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137
+230	n	E -:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;T:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;?:14,18,92,110,111,125,131,137
+231	n	A C:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137
+279	n	A X:35;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137;G:1_4,11,12,17,22,27_30,32,34,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166
+280	n	Y X:35;R:1_4,11,12,17,22,27_30,32,34,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137
+281	n	A P:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137
+282	n	H C:1_4,11,12,17,22,27_30,32,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137;X:34
+283	n	W X:34,62;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137
+284	n	A P:1_4,11,12,17,22,27_30,32,35,39,52,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137;X:34,62
+285	n	R X:34,62;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;T:1_4,11,12,17,22,27_30,32,35,39,52,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;?:14,18,92,110,111,125,131,137
+286	n	R X:62;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137
+287	n	T A:1_4,11,12,17,22,27_30,32,34,35,39,52,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;-:0,5_8,10,13,15,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;P:16;X:62;?:14,18,92,110,111,125,131,137
+288	n	G A:16;X:62;-:0,5_8,10,13,15,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137
+289	n	D G:16;-:0,5_8,10,13,15,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;P:34;W:1_4,11,12,17,22,27_30,32,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;?:14,18,92,110,111,125,131,137
+290	n	P -:0,5_8,10,13,15,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;G:34;?:14,18,92,110,111,125,131,137
+291	n	L R:1_4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,115,117,118,120,121,132,147,149,152,166;-:0,5_8,10,13,15,16,19,26,31,33,42,45,47_51,55,63,71,80,83_85,87_90,95_97,100,116,122_124,128,140,145,146,153,159,167;?:14,18,92,110,111,125,131,137
+292	n	A -:0,1,3_8,10_13,15_17,19,22,26_33,35,39,42,45,47_52,55,62,63,66,68_71,74_77,80,83_85,87_90,93_97,100,113,116_118,120_124,128,132,140,145_147,149,152,153,159,166,167;G:34;?:14,18,92,110,111,125,131,137
+293	n	- R:9,20,21,23_25,36_38,40,41,43,44,46,53,54,56_61,64,65,67,72,73,78,79,81,82,86,91,98,99,101_109,112,114,119,126,127,129,130,133_136,138,139,141_144,148,150,151,154_158,160_165,168_172;?:14,18,92,110,111,125,131,137;G:2,115;D:34
+295	n	- S:2,115;R:34;?:14,18,92,110,111,125,131,137;V:9,20,21,23_25,36_38,40,41,43,44,46,53,54,56_61,64,65,67,72,73,78,79,81,82,86,91,98,99,101_109,112,114,119,126,127,129,130,133_136,138,139,141_144,148,150,151,154_158,160_165,168_172
+296	n	- A:9,20,21,23_25,36_38,40,41,43,44,46,53,54,56_61,64,65,67,72,73,78,79,81,82,86,91,98,99,101_109,112,114,119,126,127,129,130,133_136,138,139,141_144,148,150,151,154_158,160_165,168_172;S:2,115;G:34;?:14,18,92,110,111,125,131,137
+297	n	- A:9,20,21,23_25,36_38,40,41,43,44,46,53,54,56_61,64,65,67,72,73,78,79,81,82,86,91,98,99,101_109,112,114,119,126,127,129,130,133_136,138,139,141_144,148,150,151,154_158,160_165,168_172;R:34;?:14,18,92,110,111,125,131,137
+298	n	- Q:9,20,21,23_25,36_38,40,41,43,44,46,53,54,56_61,64,65,67,72,73,78,79,81,82,86,91,98,99,101_109,112,114,119,126,127,129,130,133_136,138,139,141_144,148,150,151,154_158,160_165,168_172;R:34;?:14,18,92,110,111,125,131,137
+563	n	- R:2;L:9,20,21,23_25,36_38,40,41,43,44,46,53,54,56_61,64,65,67,72,73,78,79,81,82,86,91,98,99,101_109,112,114,119,123,126,127,129,130,133_136,138,139,141_144,148,150,151,154_158,160_165,168_172;?:14,18,92,110,111,125,131,137
+564	n	- A:9,20,21,23_25,36_38,40,41,43,44,46,53,54,56_61,64,65,67,72,73,78,79,81,82,86,91,98,99,101_109,112,114,119,123,126,127,129,130,133_136,138,139,141_144,148,150,151,154_158,160_165,168_172;?:14,18,92,110,111,125,131,137;G:2
+570	n	- A:9,20,21,23_25,36_38,40,41,43,44,46,53,54,56_61,64,65,67,72,73,78,79,81,82,86,91,98,99,101_109,112,114,119,123,126,127,129,130,133_136,138,139,141_144,148,150,151,154_158,160_165,168_172;?:14,18,92,110,111,125,131,137;V:145
+579	n	- P:9,20,21,23_25,36_38,40,41,43,44,46,53,54,56_61,64,65,67,72,73,78,79,81,82,86,91,98,99,101_109,112,114,119,123,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;R:126;?:14,18,92,110,111,125,131,137
+580	n	- X:61;R:9,20,21,23_25,36_38,40,41,43,44,46,53,54,56_60,64,65,67,72,73,78,79,81,82,86,91,98,99,101_109,112,114,119,123,126,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;?:14,18,92,110,111,125,131,137
+581	n	- X:61;S:9,20,21,23_25,36_38,40,41,43,44,46,53,54,56_60,64,65,67,72,73,78,79,81,82,86,91,98,99,101_109,112,114,119,123,126,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;?:14,18,92,110,111,125,131,137
+582	n	- A:9,20,21,23_25,36_38,40,41,43,44,46,53,54,56_60,64,65,67,72,73,78,79,81,82,86,91,98,99,101_109,112,114,119,123,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;X:61;?:14,18,92,110,111,125,131,137;P:126
+583	n	- X:61,91;R:126;?:14,18,92,110,111,125,131,137;G:9,20,21,23_25,36_38,40,41,43,44,46,53,54,56_60,64,65,67,72,73,78,79,81,82,86,98,99,101_109,112,114,119,123,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172
+584	n	- H:9,20,21,23_25,36_38,40,41,43,44,46,53,54,56_60,64,65,67,72,73,78,79,81,82,86,98,99,101_109,112,114,119,123,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;R:126;?:14,18,92,110,111,125,131,137;X:61,91
+585	n	- X:61,72,91;?:14,18,92,110,111,125,131,137;W:9,20,21,23_25,36_38,40,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,112,114,119,123,126,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172
+586	n	- X:61,72,91;C:126;L:9,20,21,23_25,36_38,40,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,112,114,119,123,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;?:14,18,92,110,111,125,131,137
+587	n	- A:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,112,114,119,123,126,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;X:40,61,72,91;?:14,18,92,110,111,125,131,137
+588	n	- X:40,61,72,91;?:14,18,92,110,111,125,131,137;V:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,112,114,119,123,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172
+589	n	- A:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,112,114,119,123,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;X:40,61,72,91;?:14,18,92,110,111,125,131,137
+590	n	- E:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,112,114,119,123,124,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;?:14,18,92,110,111,125,131,137;X:40,61,72,91
+591	n	- A:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,112,114,119,123,124,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;X:40,61,72,91;D:126;?:14,18,92,110,111,125,131,137
+592	n	- X:40,61,72,91;R:126;?:14,18,92,110,111,125,131,137;V:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,112,114,119,123,124,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172
+593	n	- X:40,61,72,91;C:126;?:14,18,92,110,111,125,131,137;V:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,112,114,119,123,124,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172
+594	n	- X:40,61,72,91;R:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,112,114,119,123,124,126,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;?:14,18,92,110,111,125,131,137
+595	n	- X:40,61,72,91;S:126;?:14,18,92,110,111,125,131,137;G:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,112,114,119,123,124,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172
+596	n	- P:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,112,114,119,123,124,126,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;?:14,18,92,110,111,125,131,137;X:40,61,72,91
+597	n	- X:40,61,72,91;S:126;L:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,112,114,119,123,124,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;?:14,18,92,110,111,125,131,137
+598	n	- Q:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,112,114,119,123,124,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;X:40,61,72,91;R:126;?:14,18,92,110,111,125,131,137
+599	n	- I:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,112,114,119,123,124,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;X:40,61,72,91;A:126;?:14,18,92,110,111,125,131,137
+600	n	- A:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,112,114,119,123,124,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;X:40,61,72,91;T:126;?:14,18,92,110,111,125,131,137
+601	n	- X:40,61,72,91;C:126;?:14,18,92,110,111,125,131,137;V:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,112,114,119,123,124,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172
+602	n	- A:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,112,114,119,123,124,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;X:40,61,72,91;?:14,18,92,110,111,125,131,137
+603	n	- X:40,61,72,91;C:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,112,114,119,123,124,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;?:14,18,92,110,111,125,131,137
+604	n	- X:40,61,72,91;D:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,112,114,119,123,124,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;?:14,18,92,110,111,125,131,137
+605	n	- X:40,61,72,91;L:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,112,114,119,123,124,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;?:14,18,92,110,111,125,131,137
+606	n	- P:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,112,114,119,123,124,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;?:14,18,92,110,111,125,131,137;X:40,61,72,91
+607	n	- X:40,61,72,91;R:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,112,114,119,123,124,126,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;?:14,18,92,110,111,125,131,137
+608	n	- X:40,61,72,91;S:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,112,114,119,123,124,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;G:126;?:14,18,92,110,111,125,131,137
+609	n	- X:40,61,72,91;S:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,112,114,119,123,124,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;R:126;?:14,18,92,110,111,125,131,137
+610	n	- X:40,61,72,91;L:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,112,114,119,123,124,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;?:14,18,92,110,111,125,131,137;P:126
+611	n	- X:40,61,72,91;C:126;L:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,112,114,119,123,124,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;?:14,18,92,110,111,125,131,137
+612	n	- A:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,114,119,123,124,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;X:40,61,72,91,112;W:126;?:14,18,92,110,111,125,131,137
+613	n	- X:40,61,72,91,112;D:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,114,119,123,124,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;?:14,18,92,110,111,125,131,137;P:126
+614	n	- A:9,20,21,23_25,36_38,41,43,44,46,53,54,56_60,64,65,67,73,78,79,81,82,86,98,99,101_109,114,119,123,124,127,129,130,133_136,138,139,141_145,148,150,151,154_158,160_165,168_172;X:40,61,72,91,112;T:126;?:14,18,92,110,111,125,131,137
+615	n	R X:40,61,65,72,91,112;-:1_7,10_13,15_17,22,26_35,39,42,45,47_52,55,62,63,66,68_71,74_77,83,84,87_90,93_97,100,113,115_118,120_122,132,140,146,147,149,152,153,159,166,167;?:14,18,92,110,111,125,131,137
+616	n	R A:126;X:40,61,65,72,91,112;-:1_7,10_13,15_17,22,26_35,39,42,45,47_52,55,62,63,66,68_71,74_77,83,84,87_90,93_97,100,113,115_118,120_122,132,140,146,147,149,152,153,159,166,167;?:14,18,92,110,111,125,131,137
+617	n	L G:126;X:40,61,65,72,91,112;-:1_7,10_13,15_17,22,26_35,39,42,45,47_52,55,62,63,66,68_71,74_77,83,84,87_90,93_97,100,113,115_118,120_122,132,140,146,147,149,152,153,159,166,167;?:14,18,92,110,111,125,131,137
+618	n	A X:40,61,65,72,91,112;-:1_7,10_13,15_17,22,26_35,39,42,45,47_52,55,62,63,66,68_71,74_77,83,84,87_90,93_97,100,113,115_118,120_122,132,140,146,147,149,152,153,159,166,167;W:126;?:14,18,92,110,111,125,131,137
+619	n	P -:1_7,10_13,15_17,22,26_35,39,42,45,47_52,55,62,63,66,68_71,74_77,83,84,87_90,93_97,100,113,115_118,120_122,132,140,146,147,149,152,153,159,166,167;?:14,18,92,110,111,125,131,137;X:40,61,65,72,91,112
+620	n	G X:40,61,65,72,91,112;-:1_7,10_13,15,17,22,26_33,35,39,42,45,47_52,55,62,63,66,68_71,74_77,83,84,87_90,93_97,100,113,115_118,120_122,126,132,140,146,147,149,152,153,159,166,167;?:14,18,92,110,111,125,131,137
+621	n	G X:40,61,65,72,91,112;R:16;-:1_7,10_13,15,17,22,26_33,35,39,42,45,47_52,55,62,63,66,68_71,74_77,83,84,87_90,93_97,100,113,115_118,120_122,126,132,140,146,147,149,152,153,159,166,167;?:14,18,92,110,111,125,131,137
+622	n	A X:40,61,65,72,91,112;-:1_5,10_13,15,17,22,26_33,35,39,42,45,47_52,55,62,63,66,68_71,74_77,83,87_90,93_97,100,113,115_118,120_122,126,132,147,149,152,153,166,167;?:14,18,92,110,111,125,131,137;F:34
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+624	n	V X:40,61,65,72,91,112;-:1_5,10_13,15,17,22,26_33,35,39,42,45,47_52,55,62,63,66,68_71,74_77,83,87_90,93_97,100,113,115_118,120_122,126,132,147,149,152,153,166,167;G:34;?:14,18,92,110,111,125,131,137
+625	n	V A:34;X:40,61,65,67,72,91,112;-:1_4,10_12,17,22,26_30,32,33,35,39,47,48,52,62,66,68_70,74_77,83,87_90,93_95,97,100,113,117,118,120_122,126,132,147,149,152,166;?:14,18,92,110,111,125,131,137
+626	n	G A:1,3,4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,117,118,120,121,132,147,149,152,166;-:2,10,26,33,47,48,83,87_90,95,97,100,122;R:126;X:40,61,65,67,72,112;?:14,18,92,110,111,125,131,137
+627	n	G A:126;X:65,67,72;-:2,10,26,33,47,48,83,87_90,95,97,100,122;?:14,18,92,110,111,125,131,137
+628	n	A G:126;-:2,10,26,33,47,48,83,87_90,95,97,100,122;R:1,3,4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,117,118,120,121,132,147,149,152,166;X:72;?:14,18,92,110,111,125,131,137
+629	n	A -:2,10,26,33,47,48,83,87_90,95,97,100,122;P:34;S:1,3,4,11,12,17,22,27_30,32,35,39,52,62,66,68_70,74_77,93,94,113,117,118,120,121,132,147,149,152,166;R:126;X:72;?:14,18,92,110,111,125,131,137
+630	n	G X:72;S:1,3,4,11,12,17,22,27_30,32,35,39,52,62,66,68_70,74_77,93,94,113,117,118,120,121,126,132,147,149,152,166;-:2,10,26,33,47,48,83,87_90,95,97,100,122;?:14,18,92,110,111,125,131,137
+631	n	S X:72;-:1,3,4,10_12,17,22,26_30,32,33,35,39,47,48,52,62,66,68_70,74_77,83,87_90,93_95,97,100,113,117,118,120_122,132,147,149,152,166;C:2;?:14,18,92,110,111,125,131,137
+632	n	S G:34;-:10,26,33,47,48,83,87_90,95,97,100,122;T:2;W:1,3,4,11,12,17,22,27_30,32,35,39,52,62,66,68_70,74_77,93,94,113,117,118,120,121,126,132,147,149,152,166;X:72;?:14,18,92,110,111,125,131,137
+633	n	A X:72;-:10,26,33,47,48,83,87_90,95,97,100,122;G:34;?:14,18,92,110,111,125,131,137
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+635	n	L R:1,3,4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,117,118,120,121,126,132,147,149,152,166;-:10,26,33,47,48,83,87_90,95,97,100,122;?:14,18,92,110,111,125,131,137
+636	n	V R:1,3,4,11,12,17,22,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,117,118,120,121,126,132,147,149,152,166;-:26,33,47,87_90,95,122;?:14,18,92,110,111,125,131,137
+637	n	G R:34;-:26,33,47,87_90,95,122;?:14,18,92,110,111,125,131,137;V:1,3,4,11,12,17,22,27_30,32,35,39,52,62,66,68_70,74_77,93,94,113,117,118,120,121,126,132,147,149,152,166
+639	n	D -:26,33,47,87_90,95,122;L:34;Q:77;R:1,3,4,11,12,17,22,27_30,32,35,39,52,62,66,68_70,74_76,93,94,113,117,118,120,121,126,132,147,149,152,166;?:14,18,92,110,111,125,131,137
+641	n	V M:34;C:1,3,4,11,12,17,22,27_30,32,35,39,52,62,66,68_70,74_77,93,94,113,117,118,120,121,126,132,147,149,152,166;-:26,33,47,87_90,95,122;?:14,18,92,110,111,125,131,137
+642	n	A P:34;-:26,33,47,87_90,95,122;?:14,18,92,110,111,125,131,137;W:1,3,4,11,12,17,22,27_30,32,35,39,52,62,66,68_70,74_77,93,94,113,117,118,120,121,126,132,147,149,152,166
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+644	n	A P:34;-:26,33,47,87_90,95,122;?:14,18,92,110,111,125,131,137
+645	n	D R:22;G:1,3,4,11,12,17,27_30,32,34,35,39,52,62,66,68_70,74_77,93,94,113,117,118,120,121,126,132,147,149,152,166;?:14,18,92,110,111,125,131,137
+646	n	A I:1,3,4,11,12,17,27_30,32,35,39,52,62,66,68_70,74_77,93,94,113,117,118,120,121,126,132,147,149,152,166;D:22;?:14,18,92,110,111,125,131,137;L:34
+647	n	A R:22,34;?:14,18,92,110,111,125,131,137;G:1,3,4,11,12,17,27_30,32,35,39,52,62,66,68_70,74_77,93,94,113,117,118,120,121,126,132,147,149,152,166
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+649	n	V A:22,34;P:1,3,4,11,12,17,27_30,32,35,39,52,62,66,68_70,74_77,93,94,113,117,118,120,121,126,132,147,149,152,166;?:14,18,92,110,111,125,131,137
+650	n	C A:1,3,4,11,12,17,27_30,32,35,39,52,62,66,68_70,74_77,93,94,113,117,118,120,121,126,132,147,149,152,166;G:22,34;?:14,18,92,110,111,125,131,137
+651	n	R A:22;P:1,3,4,11,12,17,27_30,32,35,39,52,62,66,68_70,74_77,93,94,113,117,118,120,121,126,132,147,149,152,166;D:34;?:14,18,92,110,111,125,131,137
+652	n	G Q:34;-:1,3,4,11,12,17,22,27_30,32,35,39,52,62,66,68_70,74_77,93,94,113,117,118,120,121,126,132,147,149,152,166;?:14,18,92,110,111,125,131,137
+654	n	V -:1,3,4,11,12,17,22,27_30,32,35,39,52,62,66,68_70,74_77,93,94,113,117,118,120,121,126,132,147,149,152,166;G:34;?:14,18,92,110,111,125,131,137
+655	n	C R:34;-:1,3,4,11,12,17,22,27_30,32,35,39,52,62,66,68_70,74_77,93,94,113,117,118,120,121,126,132,147,149,152,166;?:14,18,92,110,111,125,131,137
+656	n	D -:1,3,4,11,12,17,22,27_30,32,35,39,52,62,66,68_70,74_77,93,94,113,117,118,120,121,126,132,147,149,152,166;?:14,18,92,110,111,125,131,137;T:34
+657	n	L D:22;R:34;?:14,18,92,110,111,125,131,137;T:1,3,4,11,12,17,27_30,32,35,39,52,62,66,68_70,74_77,93,94,113,117,118,120,121,126,132,147,149,152,166
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+660	n	T Y:22;?:14,18,92,110,111,125,131,137;F:34
+661	n	S Y:1,3,4,11,12,17,27_30,32,35,39,52,62,66,68_70,74_77,93,94,113,117,118,120,121,126,132,147,149,152,166;G:34;?:14,18,92,110,111,125,131,137;V:22
+662	n	A C:22;R:34;?:14,18,92,110,111,125,131,137
+663	n	A R:22;?:14,18,92,110,111,125,131,137;G:1,3,4,11,12,17,27_30,32,35,39,52,62,66,68_70,74_77,93,94,113,117,118,120,121,126,132,147,149,152,166;T:34
+664	n	E A:1,3,4,11,12,17,27_30,32,35,39,52,62,66,68_70,74_77,93,94,113,117,118,120,121,126,132,147,149,152,166;R:34;G:22;?:14,18,92,110,111,125,131,137
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+667	n	T A:1,3,4,11,12,17,22,27_30,32,35,39,52,62,66,68_70,74_77,93,94,113,117,118,120,121,126,132,147,149,152,166;?:14,18,92,110,111,125,131,137;D:34
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+>Rv1325c	427	PE_PGRS24	1489965	1488154	-
+280	n	- G:166;L:0,1,9,12,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164,165,168,172;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+281	n	- V:166;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;F:0,1,9,12,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164,165,168,172
+337	n	- ?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,1,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172;D:9
+347	n	- S:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;F:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172
+348	n	- A:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172
+349	n	- A:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172;S:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+350	n	- A:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172
+351	n	- A:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172
+352	n	- I:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172;L:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+353	n	- A:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172
+354	n	- A:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172
+355	n	- P:1;T:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+356	n	- A:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172
+357	n	- E:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172
+358	n	- P:1;T:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+359	n	- ?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172;V:1
+360	n	- S:1;L:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+361	n	- A:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172
+362	n	- A:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172;R:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+364	n	- D:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;T:1
+366	n	- A:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172
+367	n	- A:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172
+368	n	- P:1;T:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+369	n	- A:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172
+370	n	- A:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172
+372	n	- E:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172
+373	n	- A:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172
+374	n	- S:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;V:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172
+375	n	- A:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172
+376	n	- A:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172
+377	n	- I:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172;S:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+378	n	- A:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172
+379	n	- ?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172;V:1
+380	n	- A:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172;P:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+381	n	- A:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172
+382	n	- A:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172;H:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+383	n	- C:1;L:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+384	n	- S:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;F:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172
+385	n	- ?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172;V:1
+387	n	- A:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172
+388	n	- A:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172
+389	n	- A:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172;P:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+391	n	- A:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172
+392	n	- P:1;T:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+393	n	- E:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172
+395	n	- S:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;F:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172
+396	n	- A:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172
+397	n	- A:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172;P:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+398	n	- P:1;S:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+399	n	- S:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;V:1
+400	n	- A:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172;R:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+401	n	- D:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;T:1
+402	n	- Q:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,171,172;K:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+403	n	- M:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,65,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,169,171,172;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;W:1
+404	n	- A:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,65,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,169,171,172;P:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+405	n	- A:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,65,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,169,171,172
+406	n	- A:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,65,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,169,171,172
+407	n	- I:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,65,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,169,171,172;S:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+408	n	- A:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,65,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,169,171,172
+410	n	- P:1;S:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,65,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,169,171,172;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+411	n	- ?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,65,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,169,171,172;V:1
+412	n	- A:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,65,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,169,171,172
+413	n	- A:1;S:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,65,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,169,171,172;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+414	n	- A:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,65,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,169,171,172
+416	n	- A:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,65,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,169,171,172;P:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+441	n	- R:1,128,129;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,37_39,46,52_57,65,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,130,136,139,141_144,150,154_158,160,161,164_166,168,169,171,172
+444	n	- ?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,1,9,12,18,20,23,25,27,30,32,37_39,46,52_57,65,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,169,171,172;V:170
+446	n	- A:170;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,1,9,12,18,20,23,25,27,30,32,37_39,46,52_57,65,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,169,171,172
+447	n	- A:170;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,1,9,12,18,20,23,25,27,30,32,37_39,46,52_57,65,66,69,70,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,150,154_158,160,161,164_166,168,169,171,172
+449	n	- I:0,1,9,12,18,20,23,25,27,30,32,35,37_39,46,52_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168,169,171,172;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;V:3,4,170
+450	n	- A:170;X:55;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,1,3,4,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168,169,171,172
+451	n	- P:3,4,170;D:0,1,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168,169,171,172;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;X:55
+452	n	- A:3,4,170;X:55;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,1,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168,169,171,172
+453	n	- A:3,4;X:55;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,1,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168_172
+454	n	- A:0,1,9,12,18,20,23,25,27,30,32,35,37_39,46,52_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168,169,171,172;T:3,4;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;L:170
+455	n	- G:0,1,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168,169,171,172;P:3,4;S:170;V:55;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+456	n	- A:3,4,55;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,1,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168,169,171,172;N:170
+457	n	- A:0,1,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168,169,171,172;C:3,4;P:55;S:170;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+458	n	- A:55;S:3,4;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,1,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168_172
+459	n	- R:170;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,1,9,12,18,20,23,25,27,30,32,35,37_39,46,52_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168,169,171,172;T:3,4
+460	n	- A:3,4;L:55;R:170;T:0,1,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168,169,171,172;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+461	n	- A:55;R:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168_172
+462	n	- A:170;I:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168,169,171,172;H:1;S:55;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+463	n	- R:1,170;E:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168,169,171,172;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;N:55
+464	n	- I:1;S:55;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;F:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168,169,171,172
+465	n	- R:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168,169,171,172
+466	n	- S:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168,169,171,172;R:55;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;V:1
+467	n	- S:55;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;V:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168,169,171,172
+470	n	- A:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168,169,171,172;P:55;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+471	n	- A:55;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168,169,171,172
+473	n	- A:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168_172;P:55;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+474	n	- A:55;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168_172
+475	n	- A:55;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168_172
+476	n	- T:55;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;N:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168_172
+477	n	- A:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168_172;P:55;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+478	n	- A:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164,165,168_172;P:55;G:166;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+480	n	- S:55;L:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168_172;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+481	n	- S:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168_172;R:55;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+482	n	- ?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168_172;V:55
+483	n	- A:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168_172;R:55;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+484	n	- A:55;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168_172
+486	n	- A:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168_172;P:55;R:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+487	n	- A:55;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,1,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168_172
+488	n	- E:55;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,1,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168_172
+489	n	- A:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,128_130,136,139,141_144,149,150,154_158,160,161,164_166,168_172;P:55;R:1;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+490	n	- A:55;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,1,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,129,130,136,139,141_144,149,150,154_158,160,161,164_166,168_172
+491	n	- A:1;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,129,130,136,139,141_144,149,150,154_158,160,161,164_166,168_172
+492	n	- F:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,129,130,136,139,141_144,149,150,154_158,160,161,164_166,168_172;S:55;R:1;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+493	n	- A:55;G:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,129,130,136,139,141_144,149,150,154_158,160,161,164_166,168_172;R:1;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+494	n	- E:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,129,130,136,139,141_144,149,150,154_158,160,161,164_166,168_172;Q:1;R:55;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+495	n	- P:55;R:1;T:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,129,130,136,139,141_144,149,150,154_158,160,161,164_166,168_172;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+496	n	- A:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,129,130,136,139,141_144,149,150,154_158,160,161,164_166,168_172;P:55;R:1;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+497	n	- A:55;G:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,129,130,136,139,141_144,149,150,154_158,160,161,164_166,168_172;R:1;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+498	n	- A:1;D:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,129,130,136,139,141_144,149,150,154_158,160,161,164_166,168_172;T:55;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+499	n	- G:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,129,130,136,139,141_144,149,150,154_158,160,161,164_166,168_172;L:1;V:55;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+500	n	- X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,1,9,12,18,20,23,25,27,30,32,35,37_39,46,52_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,129,130,136,139,141_144,149,150,154_158,160,161,164_166,168_172
+501	n	- A:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,129,130,136,139,141_144,149,150,154_158,160,161,164_166,168_172;C:1;P:55;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+502	n	- A:55;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167;G:0,1,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,129,130,136,139,141_144,149,150,154_158,160,161,164_166,168_172
+503	n	- A:55;G:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,129,130,136,139,141_144,149,150,154_158,160,161,164_166,168_172;R:1;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+504	n	- G:1;N:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,129,130,136,139,141_144,149,150,154_158,160,161,164_166,168_172;T:55;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+505	n	- A:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,129,130,136,139,141_144,149,150,154_158,160,161,164_166,168_172;P:55;R:1;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+506	n	- A:55;G:0,9,12,18,20,23,25,27,30,32,35,37_39,46,52_54,56_58,65,66,69,70,74,77_79,81,93,94,99,101,103_109,113,114,117,119,120,129,130,136,139,141_144,149,150,154_158,160,161,164_166,168_172;R:1;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+507	n	L C:55;-:3_5,7,10,11,13,15,16,19,28,29,31,33,34,40_45,47_51,59_64,67,68,71_73,75,76,80,82_89,91,95,96,98,102,112,116,118,121_123,127,134,138,140,146,148,153,159,163;S:1;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+508	n	L F:9;-:3_5,7,10,11,13,15,16,19,28,29,31,33,34,40_45,47_51,59_64,67,68,71_73,75,76,80,82_89,91,95,96,98,102,112,116,118,121_123,127,134,138,140,146,148,153,159,163;S:55;R:1;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+509	n	N -:3_5,7,10,11,13,15,16,19,28,29,31,33,34,40_45,47_51,59_64,67,68,71_73,75,76,80,82_89,91,95,96,98,102,112,116,118,121_123,127,134,138,140,146,148,153,159,163;R:1;T:55;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+510	n	G A:55;-:3_5,7,10,11,13,15,16,19,28,29,31,33,34,40_45,47_51,59_64,67,68,71_73,75,76,80,82_89,91,95,96,98,102,112,116,118,121_123,127,134,138,140,146,148,153,159,163;V:1;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+511	n	D -:3_5,7,10,11,13,15,16,19,28,29,31,33,34,40_45,47_51,59_64,67,68,71_73,75,76,80,82_89,91,95,96,98,102,112,116,118,121_123,127,134,138,140,146,148,153,159,163;M:55;R:1;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+512	n	G A:55;M:3,4;-:5,7,10,11,13,15,16,19,28,29,31,33,34,40_45,47_51,59_64,67,68,71_73,75,76,80,82_89,91,95,96,98,102,112,116,118,121_123,127,134,138,140,146,148,153,159,163;R:1;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+513	n	G A:3,4,55;D:1;-:5,7,10,11,13,15,16,19,28,29,31,33,34,40_45,47_51,59_64,67,68,71_73,75,76,80,82_89,91,95,96,98,102,112,116,118,121_123,127,134,138,140,146,148,153,159,163;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+514	n	A -:5,7,10,11,13,15,16,19,28,29,31,33,34,40_45,47_51,59_64,67,68,71_73,75,76,80,82_89,91,95,96,98,102,112,116,118,121_123,127,134,138,140,146,148,153,159,163;P:55;R:1;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+515	n	G A:55;-:5,7,10,11,13,15,16,19,28,29,31,33,34,40_45,47_51,59_64,67,68,71_73,75,76,80,82_89,91,95,96,98,102,112,116,118,121_123,127,134,138,140,146,148,153,159,163;R:1,3,4;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+516	n	G A:55;-:5,7,10,11,13,15,16,19,28,29,31,33,34,40_45,47_51,59_64,67,68,71_73,75,76,80,82_89,91,95,96,98,102,112,116,118,121_123,127,134,138,140,146,148,153,159,163;R:1,3,4;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+517	n	A -:5,7,10,11,13,15,16,28,29,31,33,34,40_45,47_51,59_64,67,68,71_73,75,76,80,82_84,86_89,91,96,98,102,112,116,118,121_123,127,134,138,140,146,148,153,163;P:55;R:1,3,4;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+518	n	G A:55;-:5,7,10,11,13,15,16,28,29,31,33,34,40_45,47_51,59_64,67,68,71_73,75,76,80,82_84,86_89,91,96,98,102,112,116,118,121_123,127,134,138,140,146,148,153,163;W:1;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+519	n	G D:55;-:5,7,10,11,13,28,29,31,33,34,40_45,47_51,59_64,67,68,71_73,75,76,80,82_84,86_88,91,96,98,102,112,116,118,121_123,127,134,138,140,146,148,153;R:15,16,89,163;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+520	n	L -:5,7,10,11,13,28,29,31,33,34,40_45,47_51,59_64,67,68,71_73,75,76,80,82_84,86_88,91,96,98,102,112,116,118,121_123,127,134,138,140,146,148,153;S:55;R:1;T:15,16,89,163;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+521	n	G A:55;-:5,7,10,11,13,28,29,31,33,34,40_45,47_51,59_64,67,68,71_73,75,76,80,82_84,86_88,91,96,98,102,112,116,118,121_123,127,134,138,140,146,148,153;R:1,15,16,89,163;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+522	n	I H:15,16,89,163;-:5,7,10,11,13,28,29,31,33,34,40_45,47_51,59_64,67,68,71_73,75,76,80,82_84,86_88,91,96,98,102,112,116,118,121_123,127,134,138,140,146,148,153;Q:1;S:55;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+523	n	A -:5,7,10,11,13,28,29,31,33,34,40_45,47_51,59_64,67,68,71_73,75,76,80,82_84,86_88,91,96,98,102,112,116,118,121_123,127,134,138,140,146,148,153;P:55;R:1,15,16,89,163;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+524	n	G A:55;-:5,7,10,11,13,28,29,31,33,34,40_45,47_51,59_64,67,68,71_73,75,76,80,82_84,86_88,91,96,98,102,112,116,118,121_123,127,134,138,140,146,148,153;R:1,15,16,89,163;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+525	n	D -:5,7,10,11,13,28,29,31,33,34,40_45,47_51,59_64,67,68,71_73,75,76,80,82_84,86_88,91,96,98,102,112,116,118,121_123,127,134,138,140,146,148,153;P:1;R:15,16,89,163;T:55;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+526	n	G A:1;-:5,7,10,11,13,28,29,31,33,34,40_45,47_51,59_64,67,68,71_73,75,76,80,82_84,86_88,91,96,98,102,112,116,118,121_123,127,134,138,140,146,148,153;R:15,16,89,163;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+527	n	G Q:1;X:128;-:5,7,10,11,13,28,29,31,33,34,40_45,47_51,59_64,67,68,71_73,75,76,80,82_84,86_88,91,96,98,102,112,116,118,121_123,127,134,138,140,146,148,153;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+528	n	N -:5,7,10,11,13,28,29,31,33,34,40_45,47_51,59_64,67,68,71_73,75,76,80,82_84,86_88,91,96,98,102,112,116,118,121_123,127,134,138,140,146,148,153;R:1;T:55,90;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+529	n	G A:55,90;-:5,7,10,11,13,28,29,31,33,34,40_45,47_51,59_64,67,68,71_73,75,76,80,82_84,86_88,91,96,98,102,112,116,118,121_123,127,134,138,140,146,148,153;R:1;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+530	n	G A:55,90;-:5,7,10,11,13,28,29,31,33,34,40_45,47_51,59_64,67,68,71_73,75,76,80,82_84,86_88,91,96,98,102,112,116,118,121_123,127,134,138,140,146,148,153;W:1;X:128;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+531	n	K X:128;R:1,55,90;-:5,7,10,11,13,28,29,31,33,34,40_45,47_51,59_64,67,68,71_73,75,76,80,82_84,86_88,91,96,98,102,112,116,118,121_123,127,134,138,140,146,148,153;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
+532	n	G -:5,7,10,11,13,28,29,31,33,34,40_45,47_51,59_64,67,68,71_73,75,76,80,82_84,86_88,91,96,98,102,112,116,118,121_123,127,134,138,140,146,148,153;R:1;V:55,90;X:128,129;?:2,6,14,17,22,26,92,97,100,110,111,115,124,125,131_133,135,137,145,147,167
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+-44	p	C G:167;?:0,145,170
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+309	n	T P:148;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+315	n	V I:127;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+326	n	V M:111;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+429	n	I ?:0,2_4,14_16,18,48,83,85,89,100,125,151,166;V:84,86_88,90
+456	n	T I:172;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+506	n	R H:8,17,34_36;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+512	n	R S:167;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+513	n	S A:148;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+630	n	V I:26;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+683	n	G C:112_119;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+688	n	V L:1;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+770	n	L Q:25;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+781	n	T ?:0,2_4,14_16,18,48,83,85,89,100,125,151,166;N:123
+800	n	A P:22;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+801	n	P R:22;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+802	n	D C:22;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+804	n	T C:22;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+805	n	L A:22;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+806	n	T K:22;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+807	n	E R:22;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+808	n	D S:22;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+809	n	D R:22;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+810	n	A T:22;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+811	n	S G:22;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+812	n	A G:22;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+813	n	A C:22;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+815	n	D A:22;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+817	n	A W:22;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+818	n	V L:22;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+819	n	Q ?:0,2_4,14_16,18,48,83,85,89,100,125,151,166;N:22
+820	n	S R:22;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+821	n	A L:22;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+822	n	A S:22;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+823	n	E T:22;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+825	n	V S:22;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+826	n	G ?:0,2_4,14_16,18,48,83,85,89,100,125,151,166;T:22
+827	n	A K:22;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+828	n	V I:22;?:0,2_4,14_16,18,48,83,85,89,100,125,151,166
+>Rv1651c	332	PE_PGRS30	1865382	1862347	-
+74	n	A H:2;-:1,3_8,10,13_18,22,25,26,33_35,40,47_51,61,64,65,71,72,80,82_88,90_92,95_98,100,110,112,115,116,122_129,131_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+75	n	E -:1,3_8,10,13_18,22,25,26,33_35,40,47_51,61,64,65,71,72,80,82_88,90_92,95_98,100,110,112,115,116,122_129,131_137,145_147,152,153,162,163,166,167,169_171;D:2;?:0,89,111,151
+76	n	F -:1,3_8,10,13_18,22,25,26,33_35,40,47_51,61,64,65,71,72,80,82_88,90_92,95_98,100,110,112,115,116,122_129,131_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151;V:2
+77	n	V -:1,3_8,10,13_18,22,25,26,33_35,40,47_51,61,64,65,71,72,80,82_88,90_92,95_98,100,110,112,115,116,122_129,131_137,145_147,152,153,162,163,166,167,169_171;L:2;?:0,89,111,151
+78	n	S -:1,3_8,10,13_18,22,25,26,33_35,40,47_51,61,64,65,71,72,80,82_88,90_92,95_98,100,110,112,115,116,122_129,131_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151;V:2
+79	n	L -:1,3_8,10,13_18,22,25,26,33_35,40,47_51,61,64,65,71,72,80,82_88,90_92,95_98,100,110,112,115,116,122_129,131_137,145_147,152,153,162,163,166,167,169_171;G:2;?:0,89,111,151
+81	n	N R:2;-:1,3_8,10,13_18,22,25,26,33_35,40,47_51,61,64,65,71,72,80,82_88,90_92,95_98,100,110,112,115,116,122_129,131_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+82	n	G R:2;-:1,3_8,10,13_18,22,25,26,33_35,40,47_51,61,64,65,71,72,80,82_88,90_92,95_98,100,110,112,115,116,122_129,131_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+84	n	A -:1,3_8,10,13_18,22,25,26,33_35,40,47_51,61,64,65,71,72,80,82_88,90_92,95_98,100,110,112,115,116,122_129,131_137,145_147,152,153,162,163,166,167,169_171;G:2;?:0,89,111,151
+85	n	A -:1,3_8,10,13_18,22,25,26,33_35,40,47_51,61,64,65,71,72,80,82_88,90_92,95_98,100,110,112,115,116,122_129,131_137,145_147,152,153,162,163,166,167,169_171;L:2;?:0,89,111,151
+90	n	A -:1,3_8,10,13_18,22,25,26,33_35,40,47_51,61,64,65,71,72,80,82_88,90_92,95_98,100,110,112,115,116,122_129,131_137,145_147,152,153,162,163,166,167,169_171;G:2;?:0,89,111,151
+91	n	E P:2;-:1,3_8,10,13_18,22,25,26,33_35,40,47_51,61,64,65,71,72,80,82_88,90_92,95_98,100,110,112,115,116,122_129,131_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+191	n	N S:11,12,113,114,117_119;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,82_88,90_92,95,97,98,100,110,112,115,116,122_129,131_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+206	n	G R:19_21,23,24;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,82_88,90_92,95,97,98,100,110,112,115,116,122_129,131_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+229	n	A -:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,82_88,90_92,95,97,98,100,110,112,115,116,122_129,131_137,145_147,152,153,162,163,166,167,169_171;T:96;?:0,89,111,151
+258	n	N M:128;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+259	n	G A:128;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+280	n	N S:128;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+297	n	N E:2;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+300	n	V -:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;L:2;?:0,89,111,151
+301	n	G P:2;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+302	n	N -:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;G:2;?:0,89,111,151
+303	n	G R:2;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+304	n	G Q:2;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+305	n	A -:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;W:2;?:0,89,111,151
+306	n	G R:2;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+307	n	G P:2;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+309	n	G A:2;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+310	n	G -:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;L:2;?:0,89,111,151
+311	n	T A:2;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+312	n	S A:2;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+313	n	G P:2;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+314	n	L A:2;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+315	n	T -:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151;V:2
+316	n	G S:2;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+317	n	S P:2;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+318	n	G M:2;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+319	n	V R:2;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+320	n	A R:2;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+322	n	G R:2;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+323	n	A R:2;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+324	n	G Q:2;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+325	n	G A:2;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+326	n	S R:2;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+334	n	G -:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151;V:124
+335	n	A P:124;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+336	n	G A:124;-:1,3_8,10,14_18,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,131_133,135_137,145_147,152,153,162,163,166,167,169_171;?:0,89,111,151
+340	n	G A:162;M:167;-:1,3_6,8,10,14_17,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,131_133,135_137,145_147,152,153,163,166,169_171;?:0,89,111,151
+342	n	A -:1,3_6,8,10,14_17,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,131_133,135_137,145_147,152,153,163,166,169_171;T:162;?:0,89,111,151
+343	n	T -:1,3_6,8,10,14_17,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,131_133,135_137,145_147,152,153,163,166,169_171;?:0,89,111,151;V:162
+344	n	S -:1,3_6,8,10,14_17,22,25,26,33,47_51,61,64,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,131_133,135_137,145_147,152,153,163,166,169_171;T:162;?:0,89,111,151;V:167
+345	n	L C:18;-:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,131_133,135_137,145_147,152,153,163,166,167,169_171;?:0,89,111,151
+348	n	V R:18;-:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,131_133,135_137,145_147,152,153,163,166,167,169_171;?:0,89,111,151
+349	n	G R:2,18;-:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,131_133,135_137,145_147,152,153,163,166,167,169_171;?:0,89,111,151
+350	n	M -:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,131_133,135_137,145_147,152,153,163,166,167,169_171;T:2;?:0,89,111,151;H:18
+351	n	N P:2;-:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,131_133,135_137,145_147,152,153,163,166,167,169_171;D:18;?:0,89,111,151
+353	n	G -:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,131_133,135_137,145_147,152,153,163,166,167,169_171;L:2;?:0,89,111,151
+355	n	G -:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,131_133,135_137,145_147,152,153,163,166,167,169_171;D:2;?:0,89,111,151
+356	n	G A:2;-:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,131_133,135_137,145_147,152,153,163,166,167,169_171;?:0,89,111,151
+357	n	A C:2;-:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,131_133,135_137,145_147,152,153,163,166,167,169_171;?:0,89,111,151
+358	n	G -:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,131_133,135_137,145_147,152,153,163,166,167,169_171;?:0,89,111,151;F:2
+359	n	G K:2;-:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,131_133,135_137,145_147,152,153,163,166,167,169_171;?:0,89,111,151
+360	n	N A:2;-:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,131_133,135_137,145_147,152,153,163,166,167,169_171;?:0,89,111,151
+362	n	G A:2;-:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,131_133,135_137,145_147,152,153,163,166,167,169_171;?:0,89,111,151
+426	n	G M:131;-:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,132,133,135_137,145_147,152,153,163,166,167,169_171;?:0,89,111,151
+428	n	G A:131;-:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,132,133,135_137,145_147,152,153,163,166,167,169_171;?:0,89,111,151
+429	n	G -:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,132,133,135_137,145_147,152,153,163,166,167,169_171;?:0,89,111,151;T:131
+430	n	A -:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,132,133,135_137,145_147,152,153,163,166,167,169_171;?:0,89,111,151;V:131,148
+432	n	G P:131;-:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,132,133,135_137,145_147,152,153,163,166,167,169_171;?:0,89,111,151
+433	n	A -:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,132,133,135_137,145_147,152,153,163,166,167,169_171;?:0,89,111,151;V:131
+434	n	G A:131;-:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,132,133,135_137,145_147,152,153,163,166,167,169_171;?:0,89,111,151
+435	n	G P:131;-:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,132,133,135_137,145_147,152,153,163,166,167,169_171;?:0,89,111,151
+438	n	G -:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,132,133,135_137,145_147,152,153,163,166,167,169_171;?:0,89,111,151;L:131
+439	n	L Q:131;-:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,132,133,135_137,145_147,152,153,163,166,167,169_171;?:0,89,111,151
+440	n	L R:131;-:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,132,133,135_137,145_147,152,153,163,166,167,169_171;?:0,89,111,151
+485	n	A P:167;-:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,131_133,135_137,145_147,152,153,163,166,169_171;?:0,89,111,151
+496	n	S -:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,132,133,135_137,145_147,152,153,163,166,169_171;?:0,89,111,151;N:34
+502	n	A C:131;-:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,132,133,135_137,145_147,152,153,163,166,169_171;?:0,89,111,151
+503	n	G R:131;-:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,132,133,135_137,145_147,152,153,163,166,169_171;?:0,89,111,151
+504	n	G R:131;-:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,132,133,135_137,145_147,152,153,163,166,169_171;?:0,89,111,151
+505	n	S Q:131;-:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,132,133,135_137,145_147,152,153,163,166,169_171;?:0,89,111,151
+506	n	G R:131;-:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,132,133,135_137,145_147,152,153,163,166,169_171;?:0,89,111,151
+507	n	G R:131;-:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,132,133,135_137,145_147,152,153,163,166,169_171;?:0,89,111,151
+508	n	T P:131;-:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,132,133,135_137,145_147,152,153,163,166,169_171;?:0,89,111,151
+509	n	A P:131;-:1,3_6,8,10,14_17,22,25,26,33,47,48,51,71,72,80,83_88,90_92,95,97,98,100,110,112,115,116,122,123,125_127,129,132,133,135_137,145_147,152,153,163,166,169_171;?:0,89,111,151
+510	n	L R:131;-:1,3,4,8,10,15_17,22,25,47,48,71,72,80,83,84,86,88,90_92,97,98,100,110,112,115,122,123,125,129,132,133,135_137,145,152,153,163,166,169,170;?:0,89,111,151
+511	n	L C:131;-:1,3,4,8,10,15_17,22,25,47,48,71,72,80,83,84,86,88,90_92,97,98,100,110,112,115,122,123,125,129,132,133,135_137,145,152,153,163,166,169,170;?:0,89,111,151
+512	n	L -:1,3,4,8,10,15_17,22,25,47,48,71,72,80,83,84,86,88,90_92,97,98,100,110,112,115,122,123,125,129,132,133,135_137,145,152,153,163,166,169,170;?:0,89,111,151;F:131
+513	n	G S:131;-:1,3,4,8,10,15_17,22,25,47,48,71,72,80,83,84,86,88,90_92,97,98,100,110,112,115,122,123,125,129,132,133,135_137,145,152,153,163,166,169,170;?:0,89,111,151
+514	n	S A:131;-:1,3,4,8,10,15_17,22,25,47,48,71,72,80,83,84,86,88,90_92,97,98,100,110,112,115,122,123,125,129,132,133,135_137,145,152,153,163,166,169,170;?:0,89,111,151
+515	n	G A:131;-:1,3,4,8,10,15_17,22,25,47,48,71,72,80,83,84,86,88,90_92,97,98,100,110,112,115,122,123,125,129,132,133,135_137,145,152,153,163,166,169,170;?:0,89,111,151
+516	n	G R:77;-:1,3,4,8,10,15_17,22,25,47,48,71,72,80,83,84,86,88,90_92,97,98,100,110,112,115,122,123,125,129,132,133,135_137,145,152,153,163,166,169,170;?:0,89,111,151
+517	n	A P:131;-:1,3,4,8,10,15_17,22,25,47,48,71,72,80,83,84,86,88,90_92,97,98,100,110,112,115,122,123,125,129,132,133,135_137,145,152,153,163,166,169,170;?:0,89,111,151
+533	n	A -:1,3,4,8,10,15_17,22,25,47,48,71,72,80,83,84,86,88,90_92,97,98,100,112,115,122,123,125,129,132,133,135_137,145,152,153,163,166,169,170;?:0,89,111,151;V:110
+534	n	S A:110;-:1,3,4,8,10,15_17,22,25,47,48,71,72,80,83,84,86,88,90_92,97,98,100,112,115,122,123,125,129,132,133,135_137,145,152,153,163,166,169,170;?:0,89,111,151
+536	n	G A:110;-:1,3,4,8,10,15_17,22,25,47,48,71,72,80,83,84,86,88,90_92,97,98,100,112,115,122,123,125,129,132,133,135_137,145,152,153,163,166,169,170;?:0,89,111,151
+575	n	G S:5_7,126_128,131;-:1,3,4,8,10,15_17,22,25,47,48,71,72,80,83,84,86,88,90_92,97,98,100,110,112,115,122,123,125,129,132,133,135_137,145,152,153,163,166,169,170;?:0,89,111,151
+579	n	I Y:110;-:1,3,4,8,10,15_17,22,25,47,48,71,72,80,83,84,86,88,90_92,97,98,100,112,115,122,123,125,129,132,133,135_137,145,152,153,163,166,169,170;?:0,89,111,151
+580	n	G R:110;-:1,3,4,8,10,15_17,22,25,47,48,71,72,80,83,84,86,88,90_92,97,98,100,112,115,122,123,125,129,132,133,135_137,145,152,153,163,166,169,170;?:0,89,111,151
+600	n	T -:1,3,4,8,10,15_17,22,25,47,48,71,72,80,83,84,86,88,90_92,97,98,100,112,115,122,123,125,129,132,133,135_137,145,152,153,163,166,169,170;?:0,89,111,151;N:134
+627	n	F S:124;-:1,8,47,48,71,72,84,86,91,92,97,100,112,122,125,129,132,135,137,145,153,163,166;L:9;?:0,89,111,151
+628	n	G A:124;-:1,8,47,48,71,72,84,86,91,92,97,100,112,122,125,129,132,135,137,145,153,163,166;?:0,89,111,151
+629	n	D -:1,8,47,48,71,72,84,86,91,92,97,100,112,122,125,129,132,135,137,145,153,163,166;?:0,89,111,151;V:124
+631	n	G E:115;-:1,8,47,48,71,72,84,86,91,92,97,100,112,122,125,129,132,135,137,145,153,163,166;?:0,89,111,151
+632	n	T S:124;-:1,8,47,48,71,72,84,86,91,92,97,100,112,122,125,129,132,135,137,145,153,163,166;?:0,89,111,151
+650	n	T P:124;-:1,8,47,48,71,72,86,91,97,112,122,125,129,132,135,137,145,153,163,166;?:0,89,111,151
+653	n	D -:1,8,47,48,71,72,86,91,97,112,122,125,129,132,135,137,145,153,163,166;?:0,89,111,151;V:124
+675	n	G P:137;-:1,8,47,48,71,91,112,122,125,129,135,145,153,163,166;?:0,89,111,151
+676	n	G A:137;-:1,8,47,48,71,91,112,122,125,129,135,145,153,163,166;?:0,89,111,151
+695	n	V -:1,125,129,145,163,166;G:81;?:0,89,111,151
+928	n	V G:135;?:0,89,111,151
+>Rv1652	3903	argC	1865576	1866634	+
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+9	n	A X:0;?:3,4,6,15,17,48,115,125,129,151,166
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+19	n	G X:0;?:3,4,6,15,17,48,115,125,129,151,166
+26	n	L X:0;?:3,4,6,15,17,48,115,125,129,151,166
+134	n	P L:112_114,116_119;?:3,4,6,15,17,48,115,125,129,151,166
+145	n	D ?:3,4,6,15,17,48,115,125,129,151,166;N:2
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+254	n	C L:1,2;?:3,4,6,15,17,48,115,125,129,151,166
+255	n	T H:1,2;?:3,4,6,15,17,48,115,125,129,151,166
+256	n	A ?:3,4,6,15,17,48,115,125,129,151,166;G:1,2
+257	n	R Y:2;H:1;?:3,4,6,15,17,48,115,125,129,151,166
+258	n	T P:1;E:2;?:3,4,6,15,17,48,115,125,129,151,166
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+260	n	S T:1,2;?:3,4,6,15,17,48,115,125,129,151,166
+262	n	L ?:3,4,6,15,17,48,115,125,129,151,166;V:1,2
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+264	n	Q A:1,2;?:3,4,6,15,17,48,115,125,129,151,166
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+267	n	A ?:3,4,6,15,17,48,115,125,129,151,166;G:1,2
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+269	n	Y L:1,2;?:3,4,6,15,17,48,115,125,129,151,166
+270	n	E R:1,2;?:3,4,6,15,17,48,115,125,129,151,166
+272	n	A ?:3,4,6,15,17,48,115,125,129,151,166;G:1,2
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+274	n	H ?:3,4,6,15,17,48,115,125,129,151,166;P:1,2
+275	n	A C:1,2;?:3,4,6,15,17,48,115,125,129,151,166
+276	n	E R:1,2;?:3,4,6,15,17,48,115,125,129,151,166
+277	n	P A:1,2;?:3,4,6,15,17,48,115,125,129,151,166
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+280	n	Y L:1,2;?:3,4,6,15,17,48,115,125,129,151,166
+281	n	L S:1,2;?:3,4,6,15,17,48,115,125,129,151,166
+282	n	M D:1,2;?:3,4,6,15,17,48,115,125,129,151,166
+283	n	P A:1,2;?:3,4,6,15,17,48,115,125,129,151,166
+284	n	E ?:3,4,6,15,17,48,115,125,129,151,166;G:1,2
+286	n	Q A:1,2;?:3,4,6,15,17,48,115,125,129,151,166
+287	n	L A:1,2;?:3,4,6,15,17,48,115,125,129,151,166
+288	n	P A:1,2;?:3,4,6,15,17,48,115,125,129,151,166
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+291	n	G R:1,2;?:3,4,6,15,17,48,115,125,129,151,166
+292	n	A R:1,2;?:3,4,6,15,17,48,115,125,129,151,166
+293	n	V ?:3,4,6,15,17,48,115,125,129,151,166;G:1,2
+294	n	I D:1,2;?:3,4,6,15,17,48,115,125,129,151,166
+295	n	G R:1,2;?:3,4,6,15,17,48,115,125,129,151,166
+296	n	S Q:1,2;?:3,4,6,15,17,48,115,125,129,151,166
+297	n	N A:1;Q:2;?:3,4,6,15,17,48,115,125,129,151,166
+298	n	A P:2;T:1;?:3,4,6,15,17,48,115,125,129,151,166
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+301	n	I M:2;T:1;?:3,4,6,15,17,48,115,125,129,151,166
+302	n	A P:1,2;?:3,4,6,15,17,48,115,125,129,151,166
+303	n	V S:1,2;?:3,4,6,15,17,48,115,125,129,151,166
+304	n	A R:1,2;?:3,4,6,15,17,48,115,125,129,151,166
+305	n	V ?:3,4,6,15,17,48,115,125,129,151,166;W:1,2
+306	n	D ?:3,4,6,15,17,48,115,125,129,151,166;T:1,2
+307	n	E -:1;M:2;?:3,4,6,15,17,48,115,125,129,151,166
+316	n	A E:2;-:1;?:3,4,6,15,17,48,115,125,129,151,166
+317	n	A R:2;-:1;?:3,4,6,15,17,48,115,125,129,151,166
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+198	n	A X:48;-:0;G:111;?:2,18,97,125,129,151,153
+199	n	Q A:111;-:0;?:2,18,97,125,129,151,153
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+201	n	T A:111;-:0;?:2,18,97,125,129,151,153
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+299	n	L A:128;?:2,18,97,125,129,151,153
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+301	n	V G:128;?:2,18,97,125,129,151,153
+302	n	W ?:2,18,97,125,129,151,153;V:128
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+48	n	G X:0;?:2,9,17,48,110,115,128,151
+51	n	V X:0;?:2,9,17,48,110,115,128,151
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+120	n	P ?:2,9,17,48,110,115,128,151;X:47
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+21	n	W R:171;-:2,26,48,89,128;?:0,1,3,4,110,115,151
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+330	n	K Q:2;?:0,1,3,4,110,115,151
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+-50	p	G ?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-49	p	C ?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-48	p	A T:26,147;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-47	p	C G:26,147;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-46	p	C T:26,147;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-45	p	G ?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-44	p	C -:26,147;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-43	p	C -:26,147;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-42	p	A -:26,147;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-41	p	C -:26,147;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-40	p	G -:26,147;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-39	p	C -:26,147;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-38	p	C -:26,147;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-37	p	C -:26,147;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-36	p	G -:26,147;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-35	p	T -:26,147;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-34	p	C G:26,147;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-33	p	G ?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-32	p	G ?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-31	p	C ?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-30	p	G ?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-29	p	T G:26,147;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-28	p	G ?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-27	p	C ?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-26	p	G ?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-25	p	A G:26,147;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-24	p	T ?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-23	p	T ?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-22	p	C ?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-21	p	T G:26,147;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-20	p	G C:26,147;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-19	p	C ?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-18	p	G ?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-17	p	T G:26,147;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-16	p	C ?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-15	p	T G:26,147;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-14	p	G ?:1,6,47,89,97,100,110,111,123,125,129,132,137,151;N:145
+-12	p	T C:26,147;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151
+-9	p	C T:26,147;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151
+-7	p	A C:26;G:147;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151
+-6	p	C G:26;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151
+-5	p	A T:147;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151
+-4	p	G C:26;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151
+-3	p	A G:26;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151
+-2	p	A C:26;G:147;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151
+-1	p	A C:147;G:26;?:1,6,47,89,97,100,110,111,123,125,129,132,137,151
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+47	n	M -:6,47,97,100,123,137;W:22;?:1,89,110,111,125,129,132,151
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+49	n	L C:22;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
+51	n	R -:6,47,97,100,123,137;G:22;?:1,89,110,111,125,129,132,151
+52	n	A P:22;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
+54	n	L C:22;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
+55	n	L S:22;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
+56	n	T P:22;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
+57	n	E -:6,47,97,100,123,137;R:22;?:1,89,110,111,125,129,132,151
+58	n	E -:6,47,97,100,123,137;S:22;?:1,89,110,111,125,129,132,151
+59	n	Q -:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151;N:22
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+61	n	D -:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151;T:22
+63	n	L C:22;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
+64	n	L S:22;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
+77	n	G A:22;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
+78	n	S -:6,47,97,100,123,137;D:22;?:1,89,110,111,125,129,132,151
+79	n	F S:22;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
+80	n	G A:22;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
+81	n	P R:22;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
+82	n	L W:22;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
+83	n	V S:22;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
+84	n	T P:22;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
+85	n	D -:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151;T:22
+86	n	E -:6,47,97,100,123,137;R:22;?:1,89,110,111,125,129,132,151
+87	n	D -:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151;T:22
+88	n	V C:22;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
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+90	n	A P:22;S:9_13;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
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+92	n	L W:22;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
+93	n	E -:6,47,97,100,123,137;S:22;?:1,89,110,111,125,129,132,151
+94	n	R -:6,47,97,100,123,137;G:22;?:1,89,110,111,125,129,132,151
+100	n	V -:6,47,97,100,123,137;L:22;?:1,89,110,111,125,129,132,151
+101	n	G A:2;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
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+106	n	G P:2;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151;X:112
+107	n	R X:112;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
+108	n	L X:48,112;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
+109	n	R X:33,48,112;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
+110	n	A X:33,48,112;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
+111	n	G X:33,48,112;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
+112	n	R X:33,48,112;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
+113	n	S X:33,48,112;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
+114	n	R X:33,48;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
+115	n	N X:48;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
+116	n	D X:48;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
+117	n	Q X:48;-:6,47,97,100,123,137;?:1,89,110,111,125,129,132,151
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+524	n	A C:76;-:5,7,10,16,17,29,33,47,49,51,61,71,72,80,83_85,87,89_91,95_97,102,110,112,122,126,132,137,146,153,169;?:15,48,92,100
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+531	n	L X:40;R:3,4,12,14,18,22,24,34,60,64,67,76,81,82,86,88,98,111,117,123,124,133,134,136,140,145,152;-:5,7,10,16,17,29,33,47,49,51,61,71,72,80,83_85,87,89_91,95_97,102,110,112,122,126,132,137,146,153,169;?:15,48,92,100
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+533	n	G X:40,42;C:3,4,12,14,18,22,24,34,60,64,67,81,82,86,88,98,111,117,123,124,133,134,136,140,145,152;-:5,7,16,29,33,47,49,51,61,71,72,80,83_85,89,91,95_97,102,112,122,132,137,146,153;?:15,48,92,100
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+538	n	G X:63;-:5,7,16,29,33,47,49,51,61,71,72,80,83_85,89,91,95_97,102,112,122,132,137,146,153;?:15,48,92,100
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+540	n	A X:63;R:76;-:5,7,16,29,33,47,49,51,61,71,72,80,83_85,89,91,95_97,102,112,122,132,137,146,153;?:15,48,92,100
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+543	n	A C:76;-:5,7,16,29,33,47,51,71,72,80,83_85,89,91,95_97,102,112,122,132,137,146,153;?:15,48,92,100;V:3,4,12,14,18,22,24,34,60,64,67,81,82,86,88,98,111,117,123,124,133,134,136,140,145,152
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+548	n	A S:3,4,12,14,16,18,22,24,33,34,60,64,67,81,82,86,88,91,95,96,98,102,111,117,122_124,133,134,136,140,145,152;R:76;-:5,7,29,47,51,71,72,80,83_85,89,97,112,132,137,146,153;?:15,48,92,100
+549	n	G A:3,4,12,14,16,18,22,24,33,34,60,64,67,81,82,86,88,91,95,96,98,102,111,117,122_124,133,134,136,140,145,152;R:76;-:5,7,29,47,51,71,72,80,83_85,89,97,112,132,137,146,153;?:15,48,92,100
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+554	n	F Q:76;-:3,4,12,14,16,18,22,24,33,34,60,64,67,72,81,82,84,86,88,91,95,96,98,102,111,112,117,122_124,133,134,136,137,140,145,152;?:15,48,92,100
+555	n	G R:76;-:3,4,12,14,16,18,22,24,33,34,60,64,67,72,81,82,84,86,88,91,95,96,98,102,111,112,117,122_124,133,134,136,137,140,145,152;?:15,48,92,100
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+559	n	F -:72,84,112,137;M:3,4,12,14,16,18,22,24,33,34,60,64,67,81,82,86,88,91,95,96,98,102,111,117,122_124,133,134,136,140,145,152;W:76;?:15,48,92,100
+560	n	G A:3,4,12,14,16,18,22,24,33,34,60,64,67,81,82,86,88,91,95,96,98,102,111,117,122_124,133,134,136,140,145,152;-:72,84,112,137;?:15,48,92,100
+561	n	N -:72,84,112,137;R:76;E:3,4,12,14,16,18,22,24,33,34,60,64,67,81,82,86,88,91,95,96,98,102,111,117,122_124,133,134,136,140,145,152;?:15,48,92,100
+562	n	G -:72,84,112,137;T:3,4,12,14,16,18,22,24,33,34,60,64,67,81,82,86,88,91,95,96,98,102,111,117,122_124,133,134,136,140,145,152;Y:76;X:159;?:15,48,92,100
+563	n	G R:3,4,12,14,16,18,22,24,33,34,60,64,67,81,82,86,88,91,95,96,98,102,111,117,122_124,133,134,136,140,145,152;?:15,48,92,100
+564	n	A C:3,4,12,14,16,18,22,24,33,34,60,64,67,76,81,82,86,88,91,95,96,98,102,111,117,122_124,133,134,136,140,145,152;?:15,48,92,100
+565	n	G W:3,4,12,14,16,18,22,24,33,34,60,64,67,76,81,82,86,88,91,95,96,98,102,111,117,122_124,133,134,136,140,145,152;?:15,48,92,100
+566	n	G S:3,4,12,14,16,18,22,24,33,34,60,64,67,81,82,86,88,91,95,96,98,102,111,117,122_124,133,134,136,140,145,152;R:76;?:15,48,92,100
+567	n	S A:3,4,12,14,16,18,22,24,33,34,60,64,67,81,82,86,88,91,95,96,98,102,111,117,122_124,133,134,136,140,145,152;C:76;?:15,48,92,100
+568	n	G R:76;T:3,4,12,14,16,18,22,24,33,34,60,64,67,81,82,86,88,91,95,96,98,102,111,117,122_124,133,134,136,140,145,152;?:15,48,92,100
+569	n	A W:76;?:15,48,92,100
+570	n	P A:3,4,12,14,16,18,22,24,33,34,60,64,67,81,82,86,88,91,95,96,98,102,111,117,122_124,133,134,136,140,145,152;L:76;?:15,48,92,100
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+575	n	A I:76;?:15,48,92,100;V:2_4,12,14,16,18,22,24,33,34,60,64,67,81,82,86,88,91,95,96,98,102,111,117,122_124,133,134,136,140,145,152
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+578	n	N A:2_4,12,14,16,18,22,24,33,34,60,64,67,81,82,86,88,91,95,96,98,102,111,117,122_124,133,134,136,140,145,152;P:76;?:15,48,92,100
+579	n	G K:76;?:15,48,92,100
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+581	n	N Y:2_4,12,14,16,18,22,24,33,34,60,64,67,81,82,86,88,91,95,96,98,102,111,117,122_124,133,134,136,140,145,152;D:76;?:15,48,92,100
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+583	n	L A:2_4,12,14,16,18,22,24,33,34,60,64,67,81,82,86,88,91,95,96,98,102,111,117,122_124,133,134,136,140,145,152;R:76;?:15,48,92,100
+584	n	L A:76;K:2_4,12,14,16,18,22,24,33,34,60,64,67,81,82,86,88,91,95,96,98,102,111,117,122_124,133,134,136,140,145,152;?:15,48,92,100
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+586	n	G S:76;?:15,48,92,100
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+592	n	G R:2_4,12,14,16,18,22,24,33,34,60,64,67,81,82,86,88,91,95,96,98,102,111,117,122_124,133,134,136,140,145,152;?:15,48,92,100;N:76
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+594	n	G -:76;?:15,48,92,100;N:2_4,12,14,16,18,22,24,33,34,60,64,67,81,82,86,88,91,95,96,98,102,111,117,122_124,133,134,136,140,145,152
+595	n	T P:2_4,12,14,16,18,22,24,33,34,60,64,67,81,82,86,88,91,95,96,98,102,111,117,122_124,133,134,136,140,145,152;-:76;?:15,48,92,100
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+605	n	S -:76;L:149;?:15,48,92,100
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+608	n	L X:0;K:2_4,12,14,16,18,22,24,33,34,60,64,67,81,82,86,88,91,95,96,98,102,111,117,122_124,133,134,136,140,145,152;-:76;?:15,48,92,100
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+610	n	F ?:15,48,92,100;W:0,2_4,12,14,16,18,22,24,33,34,60,64,67,76,81,82,86,88,91,95,96,98,102,111,117,122_124,133,134,136,140,145,152
+612	n	Q S:2_4,12,14,16,18,22,24,33,34,60,64,67,81,82,86,88,91,95,96,98,102,111,117,122_124,133,134,136,140,145,152;?:15,48,92,100
+613	n	N ?:15,48,92,100;V:0,2_4,12,14,16,18,22,24,33,34,60,64,67,76,81,82,86,88,91,95,96,98,102,111,117,122_124,133,134,136,140,145,152
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+380	n	- A:0,9,20,23,25,27,28,30,37,39,52_57,66,68,70,74,75,77_79,81,93,94,99,101,103_109,113,114,117,119,123,128,130,139,141_144,147_150,154_158,160,161,163_166,168,172;C:17,36;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+381	n	- R:17,36;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153;G:0,9,20,23,25,27,28,30,37,39,52_57,66,68,70,74,75,77_79,81,93,94,99,101,103_109,113,114,117,119,123,128,130,139,141_144,147_150,154_158,160,161,163_166,168,172
+382	n	- R:17,36;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153;G:0,9,20,23,25,27,28,30,37,39,52_57,66,68,70,74,75,77_79,81,93,94,99,101,103_109,113,114,117,119,123,128,130,139,141_144,147_150,154_158,160,161,163_166,168,172
+383	n	- A:0,9,20,23,25,27,28,30,37,39,52_57,66,68,70,74,75,77_79,81,93,94,99,101,103_109,113,114,117,119,123,128,130,139,141_144,147_150,154_158,160,161,163_166,168,172;R:17,36;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+385	n	- A:0,9,20,23,25,27,28,30,37,39,52_57,66,68,70,74,75,77_79,81,93,94,99,101,103_109,113,114,117,119,123,128,130,139,141_144,147_150,154_158,160,161,163_166,168,172;W:17,36;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+386	n	- G:17,36;L:0,9,20,23,25,27,28,30,37,39,52_57,66,68,70,74,75,77_79,81,93,94,99,101,103_109,113,114,117,119,123,128,130,139,141_144,147_150,154_158,160,161,163_166,168,172;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+387	n	- R:17,36;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153;G:0,9,20,23,25,27,28,30,37,39,52_57,66,68,70,74,75,77_79,81,93,94,99,101,103_109,113,114,117,119,123,128,130,139,141_144,147_150,154_158,160,161,163_166,168,172
+388	n	- ?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153;G:0,9,20,23,25,27,28,30,37,39,52_57,66,68,70,74,75,77_79,81,93,94,99,101,103_109,113,114,117,119,123,128,130,139,141_144,147_150,154_158,160,161,163_166,168,172;V:17,36
+389	n	- H:17,36;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153;G:0,9,20,23,25,27,28,30,37,39,52_57,66,68,70,74,75,77_79,81,93,94,99,101,103_109,113,114,117,119,123,128,130,139,141_144,147_150,154_158,160,161,163_166,168,172
+390	n	- A:0,9,20,23,25,27,28,30,37,39,52_57,66,68,70,74,75,77_79,81,93,94,99,101,103_109,113,114,117,119,123,128,130,139,141_144,147_150,154_158,160,161,163_166,168,172;Y:17,36;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+391	n	- I:147;R:17,36;T:0,9,20,23,25,27,28,30,37,39,52_57,66,68,70,74,75,77_79,81,93,94,99,101,103_109,113,114,117,119,123,128,130,139,141_144,148_150,154_158,160,161,163_168,172;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+392	n	- W:167;R:17,36;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153;G:0,9,20,23,25,27,28,30,37,39,52_57,66,68,70,74,75,77_79,81,93,94,99,101,103_109,113,114,117,119,123,128,130,139,141_144,147_150,154_158,160,161,163_166,168,172
+393	n	V C:17,36;-:2_5,7,10,12_16,18,21,31,33_35,40,42,45,47,50,51,61_64,67,71,72,76,80,84_88,90,91,96,100,102,112,115,116,118,122,124,126,131,135,137,140,145,146,159;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+394	n	G R:17,36;-:2_5,7,10,12_16,18,21,31,33_35,40,42,45,47,50,51,61_64,67,71,72,76,80,84_88,90,91,96,100,102,112,115,116,118,122,124,126,131,135,137,140,145,146,159;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+395	n	G R:17,36;-:2_5,7,10,12_16,18,21,31,33_35,40,42,45,47,50,51,61_64,67,71,72,76,80,84_88,90,91,96,100,102,112,115,116,118,122,124,126,131,135,137,140,145,146,159;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+396	n	A -:2_5,7,10,12_16,18,21,31,33_35,40,42,45,47,50,51,61_64,67,71,72,76,80,84_88,90,91,96,100,102,112,115,116,118,122,124,126,131,135,137,140,146,159;G:17,36;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153;V:145
+398	n	G R:17,36;-:2_5,7,10,13_16,18,31,33_35,40,47,50,51,61_64,71,72,76,80,84_88,90,91,96,100,112,115,116,118,122,124,126,131,137,140,146,159;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+399	n	N Q:17,36;I:145;-:2_5,7,10,13_16,18,31,33_35,40,47,50,51,61_64,71,72,76,80,84_88,90,91,96,100,112,115,116,118,122,124,126,131,137,140,146,159;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+400	n	G R:17,36;-:2_5,7,10,13_16,18,31,33_35,40,47,50,51,61_64,71,72,76,80,84_88,90,91,96,100,112,115,116,118,122,124,126,131,137,140,146,159;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+401	n	G R:17,36;-:2_5,7,10,13_16,18,31,33_35,40,47,50,51,61_64,71,72,76,80,84_88,90,91,96,100,112,115,116,118,122,124,126,131,137,140,146,159;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+402	n	T P:17,36,145;-:2_5,7,10,13_16,18,31,33_35,40,47,50,61_64,71,72,76,80,84,86_88,90,96,100,112,115,116,118,122,124,126,131,137,140,146,159;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+403	n	A -:2_5,7,10,13_16,18,31,33_35,40,47,50,61_64,71,72,76,80,84,86_88,90,96,100,112,115,116,118,122,124,126,131,137,140,146,159;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153;V:17
+404	n	G -:2_5,7,10,13_16,18,31,33_35,40,47,50,61_64,71,72,76,80,84,86_88,90,96,100,112,115,116,118,122,124,126,131,140,146,159;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153;N:17
+405	n	L R:36;-:2_5,7,10,13_16,18,31,33_35,40,47,50,61_64,71,72,76,80,84,86_88,90,96,100,112,115,116,118,122,124,126,131,140,146,159;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153;V:17
+406	n	L P:145;R:36;-:2_5,7,10,13_18,31,33_35,40,47,50,61_64,71,72,76,80,84,86_88,90,96,100,112,115,116,118,122,124,126,131,140,146,159;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+407	n	F R:36;-:2_5,7,10,13_18,31,33_35,40,47,50,61_64,71,72,76,80,84,86_88,90,96,100,112,115,116,118,122,124,126,131,140,146,159;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+408	n	G R:36;-:2_5,7,10,13_18,31,33_35,40,47,50,61_64,71,72,76,80,84,86_88,90,96,100,112,115,116,118,122,124,126,131,140,146,159;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+409	n	A R:36;-:2_5,7,10,13_18,31,33_35,40,47,50,61_64,71,72,76,80,84,86_88,90,96,100,112,115,116,118,122,124,126,131,140,146,159;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+410	n	G R:36;-:2_5,7,10,13_18,31,33_35,40,47,50,61_64,71,72,76,80,84,86_88,90,96,100,112,115,116,118,122,124,126,131,140,146,159;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+411	n	G R:36;-:2_5,7,10,13_18,31,33_35,40,47,50,61_64,71,72,76,80,84,86_88,90,96,100,112,115,116,118,122,124,126,131,140,146,159;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+412	n	A -:2_5,7,10,13_18,31,33_35,40,47,50,61_64,71,72,76,80,84,86_88,90,96,100,112,115,116,118,122,124,126,131,140,146,159;T:36;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+413	n	G R:36;-:2_5,7,10,13_18,31,33_35,40,47,50,61_64,71,72,76,80,84,86_88,90,96,100,112,115,116,118,122,124,126,131,140,146,159;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+414	n	G R:36;-:2_5,7,10,13_18,31,33_35,40,47,50,61_64,71,72,76,80,84,86_88,90,96,100,112,115,116,118,122,124,126,131,140,146,159;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+415	n	F -:2_5,7,10,13_18,31,33_35,40,47,50,61_64,71,72,76,80,84,86_88,90,96,100,112,115,116,118,122,124,126,131,140,146,159;W:36;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+416	n	G R:36;-:2_5,7,10,13_18,31,33_35,40,47,50,61_64,71,72,76,80,84,86_88,90,96,100,112,115,116,118,122,124,126,131,140,146,159;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+417	n	F Y:36;-:2_5,7,10,13_18,31,33_35,40,47,50,61_64,71,72,76,80,84,86_88,90,96,100,112,115,116,118,122,124,126,131,140,146,159;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+418	n	G R:36;-:2_5,7,10,13_18,31,33_35,40,47,50,61_64,71,72,76,80,84,86_88,90,96,100,112,115,116,118,122,124,126,131,140,146,159;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+420	n	A C:36;-:2_5,7,10,13,14,16_18,31,33_35,40,47,50,61_64,71,72,76,80,84,86_88,90,96,100,112,115,116,118,122,124,131,140,146,159;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153;V:15,126
+421	n	G P:15,126;R:36;-:2_5,7,10,13,14,16_18,31,33_35,40,47,50,61_64,71,72,76,80,84,86_88,90,96,100,112,115,116,118,122,124,131,140,146,159;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+423	n	A R:126;-:2,5,7,10,33,47,61,71,72,80,87,88,90,96,100,112,115,116,131,146;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+424	n	G R:126;-:2,5,7,10,33,47,61,71,72,80,87,88,90,96,100,112,115,116,131,146;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+425	n	G W:126;S:17;-:2,5,7,10,33,47,61,71,72,80,87,88,90,96,100,112,115,116,131,146;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+426	n	L A:17;-:2,5,7,10,33,47,61,71,72,80,87,88,90,96,100,112,115,116,131,146;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+429	n	K -:2,5,7,10,33,47,61,71,72,80,87,88,90,96,100,112,115,116,131,146;G:17;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+432	n	L A:17;-:2,5,7,10,33,47,61,71,72,80,87,88,90,96,100,112,115,116,131,146;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+433	n	I -:2,5,7,10,33,47,61,71,72,80,87,88,90,96,100,112,115,116,131,146;L:17;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+435	n	D G:17;-:2,5,7,10,33,47,61,71,72,80,87,88,90,96,100,112,115,116,131,146;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+438	n	D -:2,33,47,72,90,100,112,131;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153;V:17
+439	n	G R:115;-:2,33,47,72,90,100,112,131;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+441	n	A -:2,33,47,72,90,100,112,131;L:115;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+442	n	G R:115;-:2,33,47,72,90,100,112,131;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+443	n	G R:115;-:2,33,47,72,90,100,112,131;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+444	n	N T:115;-:2,33,47,72,90,100,112,131;G:17;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+445	n	G A:115;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+446	n	T P:115;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+447	n	G ?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153;V:17,115
+448	n	A P:17,115;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+449	n	K R:17;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+450	n	G A:17;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+451	n	G ?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153;V:17
+452	n	D ?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153;T:17
+453	n	G A:17;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+454	n	G A:17;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+455	n	A L:17;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+456	n	G A:17;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+457	n	G A:17;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+458	n	G ?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153;V:17
+459	n	A P:17;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+460	n	I S:17;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+461	n	L W:17;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+462	n	V S:17;G:84;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+463	n	G A:17;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+464	n	N T:17;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+465	n	G A:17;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+466	n	G A:17;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+467	n	N K:137;T:17;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+468	n	G A:17;R:137;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+469	n	G A:17;R:137;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+470	n	N Q:137;T:17;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+471	n	A P:17;R:137;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
+473	n	S ?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153;V:17,137
+474	n	G A:17,137;?:1,6,22,26,46,48,49,89,92,97,110,111,125,127,129,132_134,136,138,153
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+171	n	T P:125,126;-:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+172	n	G A:125,126;-:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+173	n	L -:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167;F:125
+174	n	A P:125,126;-:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+175	n	G -:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167;V:125,126
+176	n	G -:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167;V:125,126
+177	n	A P:125,126;-:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+178	n	G A:125,126;-:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+180	n	V S:125,126;-:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+181	n	G A:125,126;-:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+182	n	G -:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167;D:125,126
+183	n	L C:125,126;-:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+184	n	L S:125,126;-:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+185	n	F S:125,126;-:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+186	n	G A:125,126;-:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+187	n	D -:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167;T:125,126
+188	n	G A:125,126;-:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+189	n	G A:125,126;-:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+190	n	N -:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;T:125,126;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+191	n	G A:125,126;-:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+192	n	G -:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167;V:125,126
+193	n	A P:125,126;-:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+194	n	G A:125,126;-:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+195	n	G -:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167;D:125,126
+196	n	L S:125,126;-:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+197	n	G -:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167;V:125,126
+198	n	T P:125,126;-:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+199	n	G -:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167;D:125,126
+201	n	V S:125,126;-:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+202	n	G A:125,126;-:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+203	n	A -:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;L:125,126;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+204	n	T P:125,126;-:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+205	n	G -:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167;V:125,126
+207	n	I S:125,126;-:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+208	n	G A:125,126;-:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+211	n	G -:1_5,7,8,10,13_16,18,19,21,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167;V:126
+260	n	S P:166;-:1_5,7,8,10,13_16,18,22,26,29,31,32,34_36,38,40,42,49_51,59_64,67,71,76,82_88,90_92,98,102,116,118,123,124,127_130,132_135,137,140,152,159,162,169_171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+304	n	G R:85;-:2_4,8,10,13,15,16,18,22,29,31,32,34_36,38,40,42,50,59_64,67,76,82_84,86,88,91,92,98,102,118,123,124,127,128,130,132_135,137,152,162,171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+305	n	D R:85;-:2_4,8,10,13,15,16,18,22,29,31,32,34_36,38,40,42,50,59_64,67,76,82_84,86,88,91,92,98,102,118,123,124,127,128,130,132_135,137,152,162,171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+306	n	G R:85;-:2_4,8,10,13,15,16,18,22,29,31,32,34_36,38,40,42,50,59_64,67,76,82_84,86,88,91,92,98,102,118,123,124,127,128,130,132_135,137,152,162,171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+307	n	G R:85;-:2_4,8,10,13,15,16,18,22,29,31,32,34_36,38,40,42,50,59_64,67,76,82_84,86,88,91,92,98,102,118,123,124,127,128,130,132_135,137,152,162,171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+308	n	S -:2_4,8,10,13,15,16,18,22,29,31,32,34_36,38,40,42,50,59_64,67,76,82_84,86,88,91,92,98,102,118,123,124,127,128,130,132_135,137,152,162,171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167;F:85
+309	n	G R:85;-:2_4,8,10,13,15,16,18,22,29,31,32,34_36,38,40,42,50,59_64,67,76,82_84,86,88,91,92,98,102,118,123,124,127,128,130,132_135,137,152,162,171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+310	n	G S:85;-:2_4,8,10,13,15,16,18,22,29,31,32,34_36,38,40,42,50,59_64,67,76,82_84,86,88,91,92,98,102,118,123,124,127,128,130,132_135,137,152,162,171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+322	n	G -:2_4,8,10,13,15,16,18,22,29,31,32,34_36,38,40,42,50,59_64,67,76,82_84,86,88,91,92,98,102,118,123,124,127,128,130,132_135,137,152,171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167;V:162
+323	n	G Q:162;-:2_4,8,10,13,15,16,18,22,29,31,32,34_36,38,40,42,50,59_64,67,76,82_84,86,88,91,92,98,102,118,123,124,127,128,130,132_135,137,152,171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+325	n	A R:162;-:2_4,8,10,13,15,16,18,22,29,31,32,34_36,38,40,42,50,59_64,67,76,82_84,86,88,91,92,98,102,118,123,124,127,128,130,132_135,137,152,171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+326	n	G R:162;-:2_4,8,10,13,15,16,18,22,29,31,32,34_36,38,40,42,50,59_64,67,76,82_84,86,88,91,92,98,102,118,123,124,127,128,130,132_135,137,152,171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+327	n	M -:2_4,10,15,16,18,22,36,83,84,86,88,92,123,124,127,128,132,134,135,137,171;L:162;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+329	n	G S:162;-:2_4,10,15,16,18,22,36,83,84,86,88,92,123,124,127,128,132,134,135,137,171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+330	n	D E:162;-:2_4,10,15,16,18,22,36,83,84,86,88,92,123,124,127,128,132,134,135,137,171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+332	n	G P:162;-:2_4,10,15,16,18,22,36,83,84,86,88,92,123,124,127,128,132,134,135,137,171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+333	n	N -:2_4,10,15,16,18,22,36,83,84,86,88,92,123,124,127,128,132,134,135,137,171;G:162;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+341	n	G -:3,4,10,15,16,18,22,36,83,84,86,88,92,123,127,128,132,134,135,137,162,171;M:2,124;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+342	n	N A:2,124;-:3,4,10,15,16,18,22,36,83,84,86,88,92,123,127,128,132,134,135,137,162,171;T:5;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+343	n	G A:5;-:3,4,10,15,16,18,22,36,83,84,86,88,92,123,127,128,132,134,135,137,162,171;T:2,124;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
+344	n	G A:5,124;S:2;-:3,4,10,15,16,18,22,36,83,84,86,88,92,123,127,128,132,134,135,137,162,171;?:6,17,33,47,48,72,80,89,95_97,100,110_112,115,122,138,145,146,153,163,167
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+107	n	- R:0,1,5,7_10,14_16,19_21,23_26,36,46,77_80,83_90,92,95_97,99_101,103_109,111,115,119,123,124,126,127,130,135,138_144,146_148,151_166,168_172;E:2;?:6
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+111	n	- R:0,1,5,7_10,14_16,19_21,23_26,36,46,77_80,83_90,92,95_97,99_101,103_109,111,115,119,123,124,126,127,130,135,138_144,146_148,151_166,168_172;?:6;G:2
+112	n	- A:0,1,5,7_10,14_16,19_21,23_26,36,46,77_80,83_90,92,95_97,99_101,103_109,111,115,119,123,124,126,127,130,135,138_144,146_148,151_166,168_172;T:2;?:6
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+117	n	- R:0,1,5,7_10,14_16,19_21,23_26,36,46,77_80,83_90,92,95_97,99_101,103_109,111,115,119,123,124,126,127,130,135,138_144,146_148,151_166,168_172;T:2;?:6
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+47	n	A -:3,4,6,7,98,167;T:1,5,81,123,126_166,168_172;?:2,8,124,125
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+15	n	F S:19_24;-:8;?:0,124,125,167
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+23	n	I -:2,22,80;L:88;?:3_8,89,98,115,124,125,167
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+-21	p	C T:1;?:2,110,124,125
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+-24	p	C -:127,134;?:1,2,81,83,95,110,128,132;G:0,8,12_18,28,31,34_41,44,47_51,53_55,58,60,61,64,66,71,73,76_79,86,90,91,96,97,99_109,112,114,121,124,130,135_144,146_148,150,152,153,162,164
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+212	n	V A:1;S:18,131;T:2;?:22,115,125,129,137,147,166,172
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+219	n	E A:1;R:18,131;?:22,115,125,129,137,147,166,172
+220	n	V Q:1;C:18,131;?:22,115,125,129,137,147,166,172
+221	n	P R:18,131;D:1;?:22,115,125,129,137,147,166,172
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+233	n	E K:18,131;?:22,115,125,129,137,147,166,172
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+237	n	T A:18,131;C:1;?:22,115,125,129,137,147,166,172
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+239	n	T Q:1;S:18,131;?:22,115,125,129,137,147,166,172
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+241	n	A R:1,18,131;?:22,115,125,129,137,147,166,172
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+245	n	E K:18,131;R:1;?:22,115,125,129,137,147,166,172
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+249	n	Y R:1;?:22,115,125,129,137,147,166,172;W:18,131
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+258	n	D S:18,131;-:1;?:22,115,125,129,137,147,166,172
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+274	n	A E:2;-:1,18,131;?:22,115,125,129,137,147,166,172
+276	n	A H:2;-:1,18,131;?:22,115,125,129,137,147,166,172
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+278	n	E Q:2;P:1;-:18,131;?:22,115,125,129,137,147,166,172
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+280	n	E P:18,131;R:1,2;?:22,115,125,129,137,147,166,172
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+283	n	L H:1;R:2;?:22,115,125,129,137,147,166,172;T:18,131
+285	n	R Q:2;-:1,18,131;?:22,115,125,129,137,147,166,172
+290	n	F S:110,126;-:1,2,18,131;?:22,115,125,129,137,147,166,172
+292	n	R A:110,126;-:1,2,18,131;?:22,115,125,129,137,147,166,172
+>Rv2126c	211:1	PE_PGRS37	2387972	2387202	-
+1	n	- M:35,54,69,75,94,113,115,131,137,145,170,171;L:0_2,8,9,11,20,23,25,27,28,32,36,37,39,44_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+2	n	- I:0_2,8,9,11,20,23,25,27,28,32,36,37,39,44_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;V:35,54,69,75,94,113,115,131,137,145,170,171
+3	n	- A:35,54,69,75,94,113,115,131,137,145,170,171;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0_2,8,9,11,20,23,25,27,28,32,36,37,39,44_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+4	n	- P:35,54,69,75,94,113,115,131,137,145,170,171;D:0_2,8,9,11,20,23,25,27,28,32,36,37,39,44_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+5	n	- A:35,54,69,75,94,113,115,131,137,145,170,171;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0_2,8,9,11,20,23,25,27,28,32,36,37,39,44_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+7	n	- P:35,54,69,75,94,113,115,131,137,145,170,171;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;N:0_2,8,9,11,20,23,25,27,28,32,36,37,39,44_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+8	n	- E:35,54,69,75,94,113,115,131,137,145,170,171;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0_2,8,9,11,20,23,25,27,28,32,36,37,39,44_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+9	n	- ?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0_2,8,9,11,20,23,25,27,28,32,36,37,39,44_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;V:35,54,69,75,94,113,115,131,137,145,170,171
+11	n	- A:35,54,69,75,94,113,115,131,137,145,170,171;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0_2,8,9,11,20,23,25,27,28,32,36,37,39,44_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+12	n	- Q:0_2,8,9,11,20,23,25,27,28,32,36,37,39,44_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;V:35,54,69,75,94,113,115,131,137,145,170,171
+14	n	- M:10;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0_2,8,9,11,20,23,25,27,28,32,36,37,39,44_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;V:17,35,43,54,69,75,94,113,115,123,131,137,145,170,171
+15	n	G A:35,54,69,75,94,113,115,131,137,145,170,171;-:3_7,12_16,19,21,26,29_31,34,38,40_42,49_52,55,57,59_64,67,68,72,76,82_84,87,88,90,91,95,96,98,102,110_112,114,116,118,121,122,126,127,132,134,146,152,153,163,166,169;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+16	n	- G:17,43,123;P:0_2,8,9,11,20,23,25,27,28,32,36,37,39,44_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;S:10;R:35,54,69,75,94,113,115,131,137,145,170,171;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+17	n	G A:35,54,69,75,94,113,115,131,137,145,170,171;-:3_7,12_16,19,21,26,29_31,34,38,40_42,49_52,55,57,59_64,67,68,72,76,82_84,87,88,90,91,95,96,98,102,110_112,114,116,118,121,122,126,127,132,134,146,152,153,163,166,169;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+18	n	G X:75;-:3_7,12_16,19,21,26,29_31,34,38,40_42,49_52,55,57,59_64,67,68,72,76,82_84,87,88,90,91,95,96,98,102,110_112,114,116,118,121,122,126,127,132,134,146,152,153,163,166,169;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+19	n	- G:17,43,123;L:0_2,8,9,11,20,23,25,27,28,32,36,37,39,44_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;R:35,54,69,94,113,115,131,137,145,170,171;X:75;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+20	n	- A:17,35,43,69,94,113,115,123,131,137,145,170,171;X:54,75;L:0_2,8,9,11,20,23,25,27,28,32,36,37,39,44_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+21	n	- A:35,69,94,113,115,131,137,145,170,171;G:17,43,123;Y:0_2,8,9,11,20,23,25,27,28,32,36,37,39,44_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;X:54,75;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+22	n	G X:54,75;-:3_7,10,12_16,19,21,26,29_31,34,38,40_42,49_52,55,57,59_64,67,68,72,76,82_84,87,88,90,91,95,96,98,102,110_112,114,116,118,121,122,126,127,132,134,146,152,153,163,166,169;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+23	n	- N:0_2,8,9,11,20,23,25,27,28,32,36,37,39,44_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;S:35,69,75,94,113,115,131,137,145,170,171;T:17,43,123;X:54;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+25	n	- S:54;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0_2,8,9,11,20,23,25,27,28,32,36,37,39,44_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+136	n	- A:0_2,8,9,11,20,23,25,27,28,32,36,37,39,44_46,53,56,58,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;X:65;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+137	n	- X:65;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0_2,8,9,11,20,23,25,27,28,32,36,37,39,44_46,53,56,58,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+138	n	- X:65;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0_2,8,9,11,20,23,25,27,28,32,36,37,39,44_46,53,56,58,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+139	n	- X:65;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;V:0_2,8,9,11,20,23,25,27,28,32,36,37,39,44_46,53,56,58,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+140	n	- X:65;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0_2,8,9,11,20,23,25,27,28,32,36,37,39,44_46,53,56,58,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+152	n	- X:39;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0_2,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+153	n	- X:39;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;V:0_2,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+154	n	- A:0_2,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;X:39;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+155	n	- X:39;S:0_2,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+156	n	- A:0_2,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;L:39;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+157	n	- P:39;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;F:0_2,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+158	n	- A:39;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0_2,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+159	n	- P:39;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0_2,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+160	n	- ?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0_2,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;L:39
+161	n	- G:39;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;N:0_2,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+162	n	- A:0_2,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;V:39
+163	n	- V:39;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;F:0_2,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+164	n	- ?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0_2,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;T:39
+165	n	- P:39;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0_2,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+166	n	- S:39;R:0_2,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+167	n	- ?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0_2,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;V:39
+168	n	- A:39;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0_2,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+169	n	- A:39;D:0_2,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+170	n	- A:39;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0_2,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+171	n	- ?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0_2,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;V:39
+172	n	- D:0_2,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;T:39
+173	n	- A:39;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0_2,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+174	n	- A:39;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0_2,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+175	n	- M:39;D:0_2,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+176	n	- ?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0_2,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;V:39
+177	n	- A:2,39;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0,1,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+178	n	- P:2;M:39;T:0,1,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+179	n	- A:2;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0,1,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;V:39
+180	n	- A:2,39;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0,1,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+181	n	- A:0,1,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;P:2,39;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+182	n	- A:39;E:2;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0,1,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+183	n	- A:39;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0,1,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;V:2
+184	n	- A:0,1,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;P:2,39;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+185	n	R A:39;-:3_7,10,12_16,19,21,26,29_31,34,38,40_42,49_52,55,57,59_64,67,68,72,76,82_84,87,88,90,91,95,96,98,102,110_112,114,116,118,121,122,126,127,132,134,146,152,153,163,166,169;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;V:2,35,54,69,75,94,113,115,131,137,145,170,171
+186	n	G A:2,35,54,69,75,94,113,115,131,137,145,170,171;-:3_7,10,12_16,19,21,26,29_31,34,38,40_42,49_52,55,57,59_64,67,68,72,76,82_84,87,88,90,91,95,96,98,102,110_112,114,116,118,121,122,126,127,132,134,146,152,153,163,166,169;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+187	n	A S:39;-:3_7,10,12_16,19,21,26,29_31,34,38,40_42,49_52,55,57,59_64,67,68,72,76,82_84,87,88,90,91,95,96,98,102,110_112,114,116,118,121,122,126,127,132,134,146,152,153,163,166,169;T:2,35,54,69,75,94,113,115,131,137,145,170,171;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+188	n	- R:2,35,54,69,75,94,113,115,131,137,145,170,171;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0,1,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;V:39
+189	n	- A:2,35,39,54,69,75,94,113,115,131,137,145,170,171;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0,1,8,9,11,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+190	n	- A:0,1,8,9,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;X:11;T:39;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+191	n	- A:39;X:11;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0,1,8,9,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+192	n	- G:0,1,9,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;P:2,35,39,54,69,75,94,113,115,131,137,145,170,171;R:8;X:11;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+193	n	- A:0,1,8,9,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;X:11;T:2,35,39,54,69,75,94,113,115,131,137,145,170,171;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+194	n	- A:2,35,39,54,69,75,94,113,115,131,137,145,170,171;X:11,53;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0,1,8,9,17,20,23,25,27,28,32,36,37,43_46,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+195	n	- P:2,35,39,54,69,75,94,113,115,131,137,145,170,171;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0,1,8,9,17,20,23,25,27,28,32,36,37,43_46,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;X:11,53
+196	n	W X:11;-:3_7,10,12_16,19,21,26,29_31,34,38,40_42,49_52,55,57,59_64,67,68,72,76,82_84,87,88,90,91,95,96,98,102,110_112,114,116,118,121,122,126,127,132,134,146,152,153,163,166,169;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+197	n	- A:2,35,39,54,69,75,94,113,115,131,137,145,170,171;L:0,1,8,9,17,20,23,25,27,28,32,36,37,43_46,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;P:53;X:11;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+198	n	- A:2,35,39,54,69,75,94,113,115,131,137,145,170,171;L:53;S:0,1,8,9,17,20,23,25,27,28,32,36,37,43_46,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;X:11;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+199	n	- A:2,35,39,54,69,75,94,113,115,131,137,145,170,171;X:11;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0,1,8,9,17,20,23,25,27,28,32,36,37,43_46,53,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168
+200	n	- A:2,35,39,54,69,75,94,113,115,131,137,145,170,171;H:0,1,8,9,17,20,23,25,27,28,32,36,37,43_46,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;R:53;X:11;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+201	n	- E:10;P:53;S:0,1,8,17,20,23,25,27,28,32,36,37,43_46,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;R:2,9,35,39,54,69,75,94,113,115,131,137,145,170,171;X:11;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+202	n	- A:2,9,35,39,54,69,75,94,113,115,131,137,145,170,171;G:0,1,8,10,17,20,23,25,27,28,32,36,37,43_46,56,58,65,66,70,73,74,77_79,81,93,99,101,103_109,117,119,120,123,130,135,136,138,139,141_144,148_151,154_158,160,161,164,165,168;R:53;X:11;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+203	n	A G:2,9,10,35,39,54,69,75,94,113,115,131,137,145,170,171;-:3_7,12_16,19,26,29_31,34,38,40_42,49_52,55,57,59_64,67,68,72,76,82_84,87,88,90,91,95,96,98,102,111,112,114,116,118,121,122,126,127,132,134,146,153,163,166,169;R:53;X:11;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+204	n	H -:3_7,12_16,19,26,29_31,34,38,40_42,49_52,55,57,59_64,67,68,72,76,82_84,87,88,90,91,95,96,98,102,111,112,114,116,118,121,122,126,127,132,134,146,153,163,166,169;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;X:11;P:2,9,10,35,39,54,69,75,94,113,115,131,137,145,170,171
+205	n	- A:145;X:11,36;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0,1,8,17,20,21,23,25,27,28,32,37,43_46,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164,165,168
+206	n	A X:11,36;-:3_7,12_16,19,26,29_31,34,38,40_42,49_53,55,57,59_64,67,68,72,76,82_84,87,88,90,91,95,96,98,102,111,112,114,116,118,121,122,126,127,132,134,146,153,163,166,169;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+207	n	M A:2,9,10,35,39,54,69,75,94,113,115,131,137,145,170,171;-:3_7,12_16,19,26,29,31,34,38,40_42,49_51,53,57,59_64,67,68,72,76,82_84,87,88,90,91,95,96,98,102,111,112,114,116,118,121,122,126,127,132,134,146,153,163,169;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;X:11,36,73
+208	n	G A:2,9,10,35,39,54,69,75,94,113,115,131,137,145,170,171;X:11,36,44,73;-:3_7,12_16,19,26,29,31,34,38,40_42,49_51,57,59_64,67,68,72,76,82_84,87,88,90,91,95,96,98,102,111,112,114,116,118,121,122,126,127,132,134,146,153,163,169;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+209	n	S A:2,9,10,35,39,54,69,75,94,113,115,131,137,145,170,171;-:3_7,12_16,19,26,29,31,34,38,40_42,49_51,57,59_64,67,68,72,76,82_84,87,88,90,91,95,96,98,102,111,112,114,116,118,121,122,126,127,132,134,146,153,163,169;Q:53;X:11,36,44,73;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+210	n	G -:13,31,34,38,41,42,49,51,57,60_62,64,67,72,87,88,96,98,102,116,118,134,146;R:53;V:2_7,9,10,12,14_16,19,26,29,35,39,40,50,54,59,63,68,69,75,76,82_84,90,91,94,95,111_115,121,122,126,127,131,132,137,145,153,163,169_171;X:11,36,44,65,73;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+211	n	G X:11,36,44,65;R:2_7,9,10,12,14_16,19,26,29,35,39,40,50,53,54,59,63,68,69,75,76,82_84,90,91,94,95,111_115,121,122,126,127,131,132,137,145,153,163,169_171;-:13,31,34,38,41,42,49,51,57,60_62,64,67,72,87,88,96,98,102,116,118,134,146;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+212	n	E A:2_7,9,10,12,14_16,19,26,29,35,39,40,50,54,59,63,68,69,75,76,82_84,90,91,94,95,111_115,121,122,126,127,131,132,137,145,153,163,169_171;-:13,31,34,38,41,42,49,51,57,60_62,64,67,72,87,88,96,98,102,116,118,134,146;R:44,53;X:11,36,65;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+213	n	G A:2_7,9,10,12,14_16,19,26,29,35,39,40,50,54,59,63,68,69,75,76,82_84,90,91,94,95,111_115,121,122,126,127,131,132,137,145,153,163,169_171;X:11,36,65;-:13,31,34,38,41,42,49,51,57,60_62,64,67,72,87,88,96,98,102,116,118,134,146;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+214	n	G X:36,65;R:2_7,9,10,12,14_16,19,26,29,35,39,40,44,50,53,54,59,63,68,69,75,76,82_84,90,91,94,95,111_115,121,122,126,127,131,132,137,145,153,163,169_171;-:13,31,34,38,41,42,49,51,57,60_62,64,67,72,87,88,96,98,102,116,118,134,146;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+215	n	A X:36,65;-:13,31,34,38,41,42,44,49,51,53,57,60_62,64,67,72,87,88,96,98,102,116,118,134,146;L:2_7,9,10,12,14_16,19,26,29,35,39,40,50,54,59,63,68,69,75,76,82_84,90,91,94,95,111_115,121,122,126,127,131,132,137,145,153,163,169_171;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+216	n	V X:65;-:44,53;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43,45,46,52,55,56,58,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168
+217	n	P -:44,53;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43,45,46,52,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168
+218	n	A -:44,53;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43,45,46,52,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168
+219	n	V -:44,53;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43,45,46,52,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168
+220	n	V ?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43_46,52,53,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168
+221	n	R A:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43,45,46,52,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+223	n	Q R:44,53;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43,45,46,52,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168
+224	n	A R:44,53;E:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43,45,46,52,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+225	n	R A:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43,45,46,52,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+226	n	I C:44,53;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43,45,46,52,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168
+227	n	P A:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43_46,52,53,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+228	n	A R:44,53;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43,45,46,52,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168
+229	n	K R:44,53;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43,45,46,52,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168
+230	n	P ?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43_46,52,53,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168
+231	n	A W:44,53;T:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43,45,46,52,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+232	n	L C:44,53;S:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43,45,46,52,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+233	n	R T:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43,45,46,52,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+234	n	A R:44,53;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43,45,46,52,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168
+235	n	L W:44,53;T:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43,45,46,52,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+236	n	R Y:44,53;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;N:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43,45,46,52,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168
+238	n	A -:44,53;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43,45,46,52,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168
+239	n	I K:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43,45,46,52,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168;-:44,53;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+240	n	L A:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43,45,46,52,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168;-:44,53;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+241	n	G ?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;D:44,53
+242	n	R A:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43,45,46,52,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+243	n	P ?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;H:44,53
+244	n	A E:44,53;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172;G:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43,45,46,52,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168
+245	n	D S:44,53;T:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43,45,46,52,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+246	n	T Q:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43,45,46,52,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168;R:44,53;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+248	n	V Q:44,53;D:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43,45,46,52,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
+249	n	V S:0,1,8,11,17,20,21,23,25,27,28,30,32,36,37,43_46,52,53,55,56,58,65,66,70,73,74,77_79,81,93,99,101,103_110,117,119,120,123,130,135,136,138,139,141_144,148_152,154_158,160,161,164_166,168;?:18,22,24,33,47,48,71,80,85,86,89,92,97,100,124,125,128,129,133,140,147,159,162,167,172
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+505	n	R P:47,126;?:0,1,22,48,95,97,98,145
+506	n	Y A:126;W:47;?:0,1,22,48,95,97,98,145
+507	n	A S:47;G:126;?:0,1,22,48,95,97,98,145
+512	n	T W:47;R:126;?:0,1,22,48,95,97,98,145
+513	n	R I:47;A:126;?:0,1,22,48,95,97,98,145
+515	n	V A:47;G:126;?:0,1,22,48,95,97,98,145
+516	n	R S:47;?:0,1,22,48,95,97,98,145;N:126
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+518	n	L A:126;?:0,1,22,48,95,97,98,145
+519	n	E P:47,126;?:0,1,22,48,95,97,98,145
+520	n	G A:126;R:47;?:0,1,22,48,95,97,98,145
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+523	n	Y C:126;-:47;?:0,1,22,48,95,97,98,145
+524	n	G R:126;-:47;?:0,1,22,48,95,97,98,145
+>Rv2155c	1818	murD	2416394	2414934	-
+70	n	V -:18,47,48,71,88,91,116,132,145,163;W:125;?:0_2,128
+71	n	V S:125;-:18,47,48,71,88,91,116,132,145,163;?:0_2,128
+72	n	A P:125;-:18,47,48,71,88,91,116,132,145,163;?:0_2,128
+73	n	S -:18,47,48,71,88,91,116,132,145,163;?:0_2,128;V:125
+76	n	F -:18,47,48,71,88,91,116,132,145,163;L:83_87,89,90;?:0_2,128
+80	n	T I:9_13,111_115,117_119;-:18,47,48,71,88,91,116,132,145,163;?:0_2,128
+247	n	G R:14_16,29,49,72,81,99_110,112,122,130,146;-:18,47,48,71,88,91,116,132;?:0_2,128
+288	n	A S:127;?:0_2,128
+469	n	G A:123;?:0_2,128
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+475	n	E X:125;?:0_2,128
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+477	n	F X:125;?:0_2,128
+478	n	A X:125;?:0_2,128
+479	n	T X:125;?:0_2,128
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+485	n	I X:125;?:0_2,128
+486	n	R X:125;?:0_2,128
+>Rv2156c	8696	mraY	2417475	2416396	-
+40	n	P X:0;?:8,15,16,125,128
+249	n	N X:0;?:8,15,16,125,128
+272	n	L C:111;?:8,15,16,125,128;V:131
+273	n	S ?:8,15,16,125,128;V:131
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+278	n	T H:111,131;?:8,15,16,125,128
+279	n	E D:111,131;?:8,15,16,125,128
+280	n	I P:111,131;?:8,15,16,125,128
+281	n	L C:131;?:8,15,16,125,128
+282	n	A R:111;G:131;?:8,15,16,125,128
+283	n	V G:131;L:111;?:8,15,16,125,128
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+285	n	L G:131;?:8,15,16,125,128
+286	n	G C:131;?:8,15,16,125,128
+288	n	L ?:8,15,16,125,128;V:131
+289	n	F R:131;?:8,15,16,125,128
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+292	n	E D:131;?:8,15,16,125,128
+293	n	I H:131;?:8,15,16,125,128
+294	n	T ?:8,15,16,125,128;L:131
+295	n	S G:131;?:8,15,16,125,128
+296	n	V M:111;G:131;?:8,15,16,125,128
+298	n	L A:131;?:8,15,16,125,128
+299	n	Q ?:8,15,16,125,128;N:131
+300	n	I -:131;?:8,15,16,125,128;N:111
+301	n	L P:111,131;?:8,15,16,125,128
+302	n	T ?:8,15,16,125,128;D:111,131
+303	n	F L:111,131;?:8,15,16,125,128
+304	n	R P:111,131;?:8,15,16,125,128
+305	n	T ?:8,15,16,125,128;D:111,131
+306	n	T H:111,131;?:8,15,16,125,128
+307	n	G R:131;?:8,15,16,125,128
+308	n	R A:111,131;?:8,15,16,125,128
+309	n	R P:131;G:111;?:8,15,16,125,128
+310	n	M D:131;?:8,15,16,125,128
+311	n	F V:131;?:8,15,16,125,128
+312	n	R S:131;?:8,15,16,125,128
+313	n	M D:131;?:8,15,16,125,128
+314	n	A G:111,131;?:8,15,16,125,128
+315	n	P A:111,131;?:8,15,16,125,128
+316	n	F L:111,131;?:8,15,16,125,128
+317	n	H ?:8,15,16,125,128;P:111,131
+318	n	H ?:8,15,16,125,128;P:111,131
+319	n	H ?:8,15,16,125,128;P:111,131
+321	n	E R:111,131;?:8,15,16,125,128
+322	n	L ?:8,15,16,125,128;V:111,131
+323	n	V X:0;-:111,131;?:8,15,16,125,128
+342	n	C G:111,131;?:8,15,16,125,128
+343	n	G R:111,131;?:8,15,16,125,128
+>Rv2157c	1059	murF	2419004	2417472	-
+23	n	Q -:5,8,10,12,13,16,33,34,40,42,43,47_51,60,61,64,65,71,72,84_92,96,97,100,110,112,115,116,122,123,125,126,128,129,131_133,136,137,145,146,153,166,167;L:111;?:0,2,6,15,95
+49	n	A R:9;-:5,8,10,12,13,16,33,34,40,42,43,47_51,60,61,64,65,71,72,84_92,96,97,100,110,112,115,116,122,123,125,126,128,129,131_133,136,137,146,153,166,167;?:0,2,6,15,95
+50	n	L -:5,8,10,12,13,16,33,34,40,42,43,47_51,60,61,64,65,71,72,84_92,96,97,100,110,112,115,116,122,123,125,126,128,129,131_133,136,137,146,153,166,167;?:0,2,6,15,95;F:145
+52	n	G R:145;-:5,8,10,12,13,16,33,34,40,42,43,47_51,60,61,64,65,71,72,84_92,96,97,100,110,112,115,116,122,123,125,126,128,129,131_133,136,137,146,153,166,167;?:0,2,6,15,95
+53	n	A Q:145;-:5,8,10,12,13,16,33,34,40,42,43,47_51,60,61,64,65,71,72,84_92,96,97,100,110,112,115,116,122,123,125,126,128,129,131_133,136,137,146,153,166,167;?:0,2,6,15,95
+55	n	A R:111;-:5,8,10,12,13,16,33,34,40,42,43,47_51,60,61,64,65,71,72,84_92,96,97,100,110,112,115,116,122,123,125,126,128,129,131_133,136,137,146,153,166,167;?:0,2,6,15,95
+56	n	D -:5,8,10,12,13,16,33,34,40,42,43,47_51,60,61,64,65,71,72,84_92,96,97,100,110,112,115,116,122,123,125,126,128,129,131_133,136,137,146,153,166,167;?:0,2,6,15,95;T:111
+57	n	G A:111;S:145;-:5,8,10,12,13,16,33,34,40,42,43,47_51,60,61,64,65,71,72,84_92,96,97,100,110,112,115,116,122,123,125,126,128,129,131_133,136,137,146,153,166,167;?:0,2,6,15,95
+58	n	H K:145;-:5,8,10,12,13,16,33,34,40,42,43,47_51,60,61,64,65,71,72,84_92,96,97,100,110,112,115,116,122,123,125,126,128,129,131_133,136,137,146,153,166,167;T:111;?:0,2,6,15,95
+59	n	D -:5,8,10,12,13,16,33,34,40,42,43,47_51,60,61,64,65,71,72,84_92,96,97,100,110,112,115,116,122,123,125,126,128,129,131_133,136,137,146,153,166,167;?:0,2,6,15,95;N:111
+61	n	A -:5,8,10,12,13,16,33,34,40,42,43,47_51,60,61,64,65,71,72,84_87,89_92,96,97,100,110,112,115,116,122,123,125,126,128,129,131_133,136,137,146,153,166,167;?:0,2,6,15,95;V:145
+65	n	V -:5,8,10,12,13,16,33,34,40,42,43,47_51,60,61,64,65,71,72,84_87,89_92,96,97,100,110,112,115,116,122,123,125,126,128,129,131_133,136,137,146,153,166,167;G:111;?:0,2,6,15,95
+66	n	A S:111;-:5,8,10,12,13,16,33,34,40,42,43,47_51,60,61,64,65,71,72,84_87,89_92,96,97,100,110,112,115,116,122,123,125,126,128,129,131_133,136,137,146,153,166,167;?:0,2,6,15,95
+67	n	A X:159;R:111;-:5,8,10,12,13,16,33,34,40,42,43,47_51,60,61,64,65,71,72,84_87,89_92,96,97,100,110,112,115,116,122,123,125,126,128,129,131_133,136,137,146,153,166,167;?:0,2,6,15,95
+68	n	G X:140,159;-:5,8,10,12,13,16,33,34,40,42,43,47_51,60,61,64,65,71,72,84_87,89_92,96,97,100,110,112,115,116,122,123,125,126,128,129,131_133,136,137,146,153,166,167;?:0,2,6,15,95
+69	n	A X:140;R:111;-:5,8,10,12,13,16,33,34,40,42,43,47_51,60,61,64,65,71,72,84_87,89_92,96,97,100,110,112,115,116,122,123,125,126,128,129,131_133,136,137,146,153,166,167;?:0,2,6,15,95
+70	n	A X:140;R:111;-:5,8,10,12,13,16,33,34,40,42,43,47_51,60,61,64,65,71,72,84_87,89_92,96,97,100,110,112,115,116,122,123,125,126,128,129,131_133,136,137,146,153,166,167;?:0,2,6,15,95
+71	n	V S:111;-:5,8,10,12,13,16,33,34,40,42,43,47_51,60,61,64,65,71,72,84_87,89_92,96,97,100,110,112,115,116,122,123,125,126,128,129,131_133,136,137,146,153,166,167;?:0,2,6,15,95
+72	n	V R:111;-:8,10,16,33,34,43,47_49,61,71,72,84_87,89,90,92,97,100,112,115,116,123,125,126,128,129,131_133,136,146,153,166,167;?:0,2,6,15,95
+73	n	L A:111;-:8,10,16,33,34,43,47_49,61,71,72,85_87,89,90,92,97,100,112,115,116,123,125,126,128,129,131_133,136,146,153,166,167;?:0,2,6,15,95
+74	n	A -:8,10,16,33,34,43,47_49,61,71,72,85_87,89,90,92,97,100,112,115,116,123,125,126,128,129,131_133,136,146,153,166,167;G:111;?:0,2,6,15,95
+75	n	A R:111;-:8,10,16,33,34,43,47_49,61,71,72,85_87,89,90,92,97,100,112,115,116,123,125,126,128,129,131_133,136,146,153,166,167;?:0,2,6,15,95
+76	n	R P:111;-:8,10,16,33,34,43,47_49,61,71,72,85,86,89,90,92,97,100,112,115,116,123,125,126,128,129,131_133,136,146,166,167;?:0,2,6,15,95
+78	n	V -:8,10,16,33,34,47,48,61,71,85,86,89,90,97,100,112,115,116,123,125,126,128,129,131,133,166,167;G:111;?:0,2,6,15,95
+80	n	V -:8,33,47,48,71,89,100,112,115,123,125,126,128,129,131,133,166,167;G:111;?:0,2,6,15,95
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+82	n	A -:8,33,47,48,71,100,112,115,123,125,126,128,129,131,133,166,167;G:111;?:0,2,6,15,95
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+84	n	V S:111;-:8,33,47,48,71,100,112,115,123,125,126,128,129,131,133,166,167;?:0,2,6,15,95
+86	n	P -:8,33,47,48,71,100,112,115,123,125,126,128,129,131,133,166,167;?:0,2,6,15,95;V:111
+88	n	V P:111;-:8,33,47,48,71,100,115,123,125,126,128,129,131,166,167;?:0,2,6,15,95
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+90	n	A -:8,33,47,48,71,100,115,123,125,126,128,129,131,166,167;G:111;?:0,2,6,15,95
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+99	n	E -:8,33,47,48,71,100,115,123,125,126,128,129,131,166,167;?:0,2,6,15,95;P:111
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+117	n	A -:33,47,48,100,115,123,125,126,128,129,131,166,167;G:8;?:0,2,6,15,95
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+189	n	A -:47,48,115,123,126,128,129,166,167;G:8;?:0,2,6,15,95
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+192	n	H Q:8;-:47,48,115,123,126,128,129,166,167;?:0,2,6,15,95
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+199	n	L R:8;-:47,48,115,123,126,128,129,166,167;?:0,2,6,15,95
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+201	n	E -:47,48,115,123,126,128,129,166,167;D:8;?:0,2,6,15,95
+202	n	I R:8;-:47,48,115,123,126,128,129,166,167;?:0,2,6,15,95
+205	n	P -:47,48,115,123,126,128,129,166,167;?:0,2,6,15,95;V:8
+206	n	S -:47,48,115,123,126,128,129,166,167;D:8;?:0,2,6,15,95
+207	n	I R:8;-:47,48,115,123,126,128,129,166,167;?:0,2,6,15,95
+208	n	G S:8;-:47,48,115,123,126,128,129,166,167;?:0,2,6,15,95
+209	n	V R:8;-:47,48,115,123,126,128,129,166,167;?:0,2,6,15,95
+210	n	V A:8;-:47,48,115,123,126,128,129,166,167;?:0,2,6,15,95
+211	n	L Q:8;-:47,48,115,123,126,128,129,166,167;?:0,2,6,15,95
+212	n	N R:8;-:47,48,115,123,126,128,129,166,167;?:0,2,6,15,95
+213	n	V R:8;-:47,48,115,123,126,128,129,166,167;?:0,2,6,15,95
+214	n	G A:98;H:8;-:47,48,115,123,126,128,129,166,167;?:0,2,6,15,95
+215	n	T R:8;-:47,48,115,123,126,128,129,166,167;?:0,2,6,15,95
+216	n	A -:47,48,115,123,126,128,129,166,167;T:8;?:0,2,6,15,95
+217	n	H -:47,48,115,123,126,128,129,166,167;?:0,2,6,15,95;F:8
+218	n	L G:8;-:47,48,115,128,129;?:0,2,6,15,95
+219	n	G W:8;-:47,48,115,128,129;?:0,2,6,15,95
+220	n	E A:8;-:47,48,115,128,129;?:0,2,6,15,95
+265	n	V A:19_24;-:47,48,115,128,129;?:0,2,6,15,95
+283	n	D E:111;-:47,48,115,128,129;?:0,2,6,15,95
+284	n	E -:47,48,115,128,129;R:111;?:0,2,6,15,95
+285	n	L I:111;-:47,48,115,128,129;?:0,2,6,15,95
+286	n	A -:47,48,115,128,129;G:111;?:0,2,6,15,95
+287	n	R Q:111;-:47,48,115,128,129;?:0,2,6,15,95
+288	n	P A:111;-:47,48,115,128,129;?:0,2,6,15,95
+291	n	T A:111;-:47,48,115,128,129;?:0,2,6,15,95
+293	n	H Y:111;-:47,48,115,128,129;?:0,2,6,15,95
+295	n	H A:111;-:47,48,115,128,129;?:0,2,6,15,95
+296	n	D C:111;-:47,48,115,128,129;?:0,2,6,15,95
+297	n	A P:111;-:47,48,115,128,129;?:0,2,6,15,95
+298	n	Q R:111;-:47,48,115,128,129;?:0,2,6,15,95
+299	n	A C:111;-:47,48,115,128,129;?:0,2,6,15,95
+300	n	E -:47,48,115,128,129;?:0,2,6,15,95;P:111
+301	n	V S:111;-:47,48,115,128,129;?:0,2,6,15,95
+303	n	L S:111;-:47,48,115,128,129;?:0,2,6,15,95
+305	n	V S:111;-:47,48,115,128,129;?:0,2,6,15,95
+306	n	C A:111;-:47,48,115,128,129;?:0,2,6,15,95
+307	n	G A:111;-:47,48,115,128,129;?:0,2,6,15,95
+308	n	D -:47,48,115,128,129;?:0,2,6,15,95;T:111
+353	n	D ?:0,2,6,15,95;V:128
+361	n	A ?:0,2,6,15,95;V:128
+381	n	H L:128;?:0,2,6,15,95
+442	n	G E:9;?:0,2,6,15,95
+>Rv2158c	579	murE	2420608	2419001	-
+25	n	G -:17,18,33,49,71,80,82,89,96,97,100,110,112,115,123_125,129,131,136,148,153,167;?:2,47,48,128,137;V:36
+146	n	L -:17,71,97,100,110,112,115,123_125,129,131,148,167;?:2,47,48,128,137;V:1
+286	n	G R:100;-:17,71,97,110,112,115,123_125,129,131,148,167;?:2,47,48,128,137
+301	n	A -:17,71,97,110,112,115,123_125,129,131,148,167;?:2,47,48,128,137;V:152
+366	n	V -:115,123_125,148,167;G:22;?:2,47,48,128,137
+367	n	P R:22;-:115,123_125,148,167;?:2,47,48,128,137
+371	n	E -:115,123_125,148,167;D:134;?:2,47,48,128,137
+384	n	G X:9;-:115,123_125,148,167;?:2,47,48,128,137
+474	n	Q R:98;?:2,47,48,128,137
+475	n	V S:98;?:2,47,48,128,137
+476	n	V S:98;?:2,47,48,128,137
+477	n	E Q:98;?:2,47,48,128,137
+478	n	I T:98;?:2,47,48,128,137
+479	n	A G:98;?:2,47,48,128,137
+480	n	D G:98;?:2,47,48,128,137
+481	n	R T:98;?:2,47,48,128,137
+483	n	D S:98;?:2,47,48,128,137
+484	n	A G:98;?:2,47,48,128,137
+485	n	I T:98;?:2,47,48,128,137
+487	n	H A:98;?:2,47,48,128,137
+488	n	A P:98;?:2,47,48,128,137
+489	n	V A:98;?:2,47,48,128,137
+490	n	A T:98;?:2,47,48,128,137
+492	n	A C:98;?:2,47,48,128,137
+496	n	D ?:2,47,48,128,137;N:98
+497	n	V A:98;?:2,47,48,128,137
+498	n	V A:98;?:2,47,48,128,137
+511	n	G A:98;?:2,47,48,128,137
+514	n	R S:98;?:2,47,48,128,137
+515	n	V A:98;?:2,47,48,128,137
+517	n	P S:98;?:2,47,48,128,137
+522	n	V A:123;-:98;?:2,47,48,128,137
+525	n	A T:98;?:2,47,48,128,137
+526	n	A T:98;?:2,47,48,128,137
+527	n	A G:98;?:2,47,48,128,137
+528	n	L W:98;?:2,47,48,128,137
+529	n	E S:98;?:2,47,48,128,137
+530	n	A W:98;?:2,47,48,128,137
+532	n	E P:98;?:2,47,48,128,137
+534	n	R -:98;G:145;?:2,47,48,128,137
+>Rv2159c	1260	x	2421665	2420631	-
+-50	p	A ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-49	p	T ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-48	p	C ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-47	p	G ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-46	p	A ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-45	p	C ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-44	p	G ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-43	p	C ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-42	p	G ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-41	p	G ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-40	p	C ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-39	p	C ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-38	p	C ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-37	p	T ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-36	p	G ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-35	p	G ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-34	p	C ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-33	p	C ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-32	p	A ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-31	p	G ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-30	p	A ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-29	p	G ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-28	p	T ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-27	p	C ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-26	p	G ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-25	p	G ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-24	p	C ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-23	p	A ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-22	p	C ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-21	p	C ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-20	p	A ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-19	p	C ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-18	p	C ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-17	p	C ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-16	p	A ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-15	p	G ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-14	p	G ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-13	p	A ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-12	p	G ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-11	p	G ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-10	p	G ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-9	p	A ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-8	p	G ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-7	p	T ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-6	p	C ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-5	p	G ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-4	p	A ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+-3	p	A ?:2,8,18,26,47,48,71,72,85,86,89,92,95,97,100,112,125,126,128,131,153;N:74
+3	n	F -:47,71,72,92,126;L:8,89;?:2,18,26,48,85,86,95,97,100,112,125,128,131,153
+4	n	V S:8,89;-:47,71,72,92,126;?:2,18,26,48,85,86,95,97,100,112,125,128,131,153
+5	n	N -:47,71,72,92,126;T:8,89;?:2,18,26,48,85,86,95,97,100,112,125,128,131,153
+6	n	H I:89;-:47,71,72,92,126;?:2,18,26,48,85,86,95,97,100,112,125,128,131,153
+7	n	I -:47,71,72,92,126;L:89;?:2,18,26,48,85,86,95,97,100,112,125,128,131,153
+8	n	E -:47,71,72,92,126;S:89;?:2,18,26,48,85,86,95,97,100,112,125,128,131,153
+10	n	V S:89;-:47,71,72,92,126;?:2,18,26,48,85,86,95,97,100,112,125,128,131,153
+11	n	A R:89;-:47,71,72,92,126;?:2,18,26,48,85,86,95,97,100,112,125,128,131,153
+13	n	R A:89;-:47,71,72,92,126;?:2,18,26,48,85,86,95,97,100,112,125,128,131,153
+14	n	R E:89;-:47,71,72,92,126;?:2,18,26,48,85,86,95,97,100,112,125,128,131,153
+15	n	A P:89;-:47,71,72,92,126;?:2,18,26,48,85,86,95,97,100,112,125,128,131,153
+27	n	R A:89;-:47,71,72,92,126;?:2,18,26,48,85,86,95,97,100,112,125,128,131,153
+29	n	E -:47,71,72,92,126;S:89;?:2,18,26,48,85,86,95,97,100,112,125,128,131,153
+30	n	F P:89;-:47,71,72,92,126;?:2,18,26,48,85,86,95,97,100,112,125,128,131,153
+31	n	G R:89;-:47,71,72,92,126;?:2,18,26,48,85,86,95,97,100,112,125,128,131,153
+32	n	R S:89;-:47,71,72,92,126;?:2,18,26,48,85,86,95,97,100,112,125,128,131,153
+33	n	L M:89;-:47,71,72,92,126;?:2,18,26,48,85,86,95,97,100,112,125,128,131,153
+35	n	E -:47,71,72,92,126;R:89;?:2,18,26,48,85,86,95,97,100,112,125,128,131,153
+37	n	L A:89;-:47,71,72,92,126;?:2,18,26,48,85,86,95,97,100,112,125,128,131,153
+39	n	M -:47,71,92;S:89;?:2,18,26,48,85,86,95,97,100,112,125,128,131,153
+48	n	T S:89;-:47,71,92;?:2,18,26,48,85,86,95,97,100,112,125,128,131,153
+49	n	A X:122;-:47,71,92;?:2,18,26,48,85,86,95,97,100,112,125,128,131,153
+50	n	G X:122;-:47,71,92;?:2,18,26,48,85,86,95,97,100,112,125,128,131,153
+51	n	W X:122;C:89;-:47,71,92;?:2,18,26,48,85,86,95,97,100,112,125,128,131,153
+52	n	A P:89;-:47,71,92;?:2,18,26,48,85,86,95,97,100,112,125,128,131,153;X:122
+53	n	T X:122;S:89;-:47,71,92;?:2,18,26,48,85,86,95,97,100,112,125,128,131,153
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+55	n	R S:89;-:47,71,92;?:2,18,26,48,85,86,95,97,100,112,125,128,131,153
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+1	n	M -:2_4,8,16_18,32,47,83,87,89,90,100,110,111,117,134,136,140,145,147,149,152,153,163,166,167,169_172;G:95_97;?:0,6,36,80,82,98,125,135,137,151,164
+2	n	I -:2_4,8,16_18,32,47,83,87,89,90,100,110,111,117,134,136,140,145,147,149,152,153,163,166,167,169_172;T:146,154_162,165,168;?:0,6,36,80,82,98,125,135,137,151,164;V:95_97
+3	n	L P:146,154_162,165,168;S:95_97;-:2_4,8,16_18,32,47,83,87,89,90,100,110,111,117,134,136,140,145,147,149,152,153,163,166,167,169_172;?:0,6,36,80,82,98,125,135,137,151,164
+4	n	D G:95_97;S:146,154_162,165,168;-:2_4,8,16_18,32,47,83,87,89,90,100,110,111,117,134,136,140,145,147,149,152,153,163,166,167,169_172;?:0,6,36,80,82,98,125,135,137,151,164
+5	n	F H:95_97;-:2_4,8,16_18,32,47,83,87,89,90,100,110,111,117,134,136,140,145,147,149,152,153,163,166,167,169_172;?:0,6,36,80,82,98,125,135,137,151,164
+6	n	S A:95_97;P:146,154_162,165,168;-:2_4,8,16_18,32,47,83,87,89,90,100,110,111,117,134,136,140,145,147,149,152,153,163,166,167,169_172;?:0,6,36,80,82,98,125,135,137,151,164
+7	n	W G:95_97;R:146,154_162,165,168;-:2_4,8,16_18,32,47,83,87,89,90,100,110,111,117,134,136,140,145,147,149,152,153,163,166,167,169_172;?:0,6,36,80,82,98,125,135,137,151,164
+8	n	L A:95_97;-:2_4,8,16_18,32,47,83,87,89,90,100,110,111,117,134,136,140,145,147,149,152,153,163,166,167,169_172;?:0,6,36,80,82,98,125,135,137,151,164;T:146,154_162,165,168
+9	n	P -:2_4,8,16_18,32,47,83,87,89,90,100,110,111,117,134,136,140,145,147,149,152,153,163,166,167,169_172;G:146,154_162,165,168;?:0,6,36,80,82,98,125,135,137,151,164;V:95_97
+10	n	P Q:95_97;-:2_4,8,16_18,32,47,83,87,89,90,100,110,111,117,134,136,140,145,147,149,152,153,163,166,167,169_172;?:0,6,36,80,82,98,125,135,137,151,164;V:146,154_162,165,168
+11	n	E -:2_4,8,16_18,32,47,83,87,89,90,100,110,111,117,134,136,140,145,147,149,152,153,163,166,167,169_172;S:146,154_162,165,168;?:0,6,36,80,82,98,125,135,137,151,164
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+13	n	N M:136;H:146,154_162,165,168;-:2_4,8,16_18,32,47,83,87,89,90,100,110,111,117,134,140,145,147,149,152,153,163,166,167,169_172;?:0,6,36,80,82,98,125,135,137,151,164
+14	n	S A:146,154_162,165,168;P:136;-:2_4,8,16_18,32,47,83,87,89,90,100,110,111,117,134,140,145,147,149,152,153,163,166,167,169_172;?:0,6,36,80,82,98,125,135,137,151,164
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+17	n	I V:146,154_162,165,168;-:2_4,8,16_18,32,47,83,87,89,90,100,110,111,117,134,140,145,147,149,152,153,163,166,167,169_172;?:0,6,36,80,82,98,125,135,137,151,164;F:136
+18	n	Y -:2_4,8,16_18,32,47,83,87,89,90,100,110,111,117,134,140,145,147,149,152,153,163,166,167,169_172;?:0,6,36,80,82,98,125,135,137,151,164;N:136
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+41	n	R -:2,8,16,17,47,83,87,89,90,100,110,111,134,167;?:0,6,36,80,82,98,125,135,137,151,164;N:32
+42	n	A R:32;-:2,8,16,17,47,83,87,89,90,100,110,111,134,167;?:0,6,36,80,82,98,125,135,137,151,164
+43	n	S P:32;-:2,8,16,17,47,83,87,89,90,100,110,111,134,167;?:0,6,36,80,82,98,125,135,137,151,164
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+47	n	F -:2,8,16,17,47,83,87,89,90,100,110,111,134,167;G:32;?:0,6,36,80,82,98,125,135,137,151,164
+49	n	A S:32;-:2,8,16,17,47,83,87,89,90,100,110,111,134,167;?:0,6,36,80,82,98,125,135,137,151,164
+50	n	V -:2,8,16,17,47,83,87,89,90,100,110,111,134,167;L:32;?:0,6,36,80,82,98,125,135,137,151,164
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+1	n	V M:1,14_16,77_79,99_110,148;R:60,112;-:0,2,8,18,26_33,36,45,47_49,65,71,72,81,92,111,114,116,119,122,126,127,129,130,132_134,139_144,146,153_163,167,169,170;?:91,93_97,125,145,149,152,171,172
+4	n	L E:60,112;R:1,14_16,77_79,99_110,148;-:0,2,8,18,26_33,36,45,47_49,65,71,72,81,92,111,114,116,119,122,126,127,129,130,132_134,139_144,146,153_163,167,169,170;?:91,93_97,125,145,149,152,171,172
+5	n	S I:112;-:0_2,8,14_16,18,26_33,45,47_49,65,71,72,77_79,81,92,99_110,114,116,122,127,130,132_134,148,167;?:91,93_97,125,145,149,152,171,172
+6	n	G R:14_16,77,79,99_110;-:0,2,8,18,26_33,45,47_49,65,71,72,81,92,114,116,122,127,130,132_134,167;?:91,93_97,125,145,149,152,171,172
+11	n	Q -:0,2,8,18,26_33,45,47_49,65,71,72,81,92,114,116,122,127,130,132_134,167;?:91,93_97,125,145,149,152,171,172;G:22
+13	n	L -:0,2,8,18,26_33,45,47_49,65,71,72,81,92,114,116,122,127,130,132_134,167;?:91,93_97,125,145,149,152,171,172;F:22
+14	n	G X:78,79;-:0,2,8,18,26_34,45,47_49,51,59,60,63,65,71,72,81,92,102,113,114,116,122,127,130,132_135,139_144,146,154_161,167;?:91,93_97,125,145,149,152,171,172
+21	n	T -:0,2,8,18,26_34,45,47_49,51,59,60,63,65,71,72,81,92,102,113,114,116,122,127,130,132_135,139_144,146,154_161,167;?:91,93_97,125,145,149,152,171,172;L:22
+28	n	I -:0,8,18,26,28,71,72,127,132_134,167;?:91,93_97,125,145,149,152,171,172;F:22
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+123	n	G X:0;-:8,18,132;?:91,93_97,125,145,149,152,171,172
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+3	n	N E:5;-:3,4,7,10,14_16,18,80,83_90,96,100,114,123,127,136,164;?:0,8,22,36,46,77,82,98,122,132_135,137,145,149,151,153,163,166,169_171
+5	n	S P:5;-:3,4,7,10,14_16,18,80,83_90,96,100,114,123,127,136,164;?:0,8,22,36,46,77,82,98,122,132_135,137,145,149,151,153,163,166,169_171
+14	n	G -:3,4,7,10,14_16,18,80,83_90,96,100,123,127,136,164;?:0,8,22,36,46,77,82,98,122,132_135,137,145,149,151,153,163,166,169_171;V:5
+15	n	R -:3,4,7,10,14_16,18,80,83_90,96,100,123,127,136,164;L:5;?:0,8,22,36,46,77,82,98,122,132_135,137,145,149,151,153,163,166,169_171
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+18	n	F S:5;V:7,90;-:3,4,10,14_16,18,80,83_89,96,100,123,127,136,164;?:0,8,22,36,46,77,82,98,122,132_135,137,145,149,151,153,163,166,169_171
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+48	n	L Q:5;W:7,90;-:3,4,10,14_16,18,80,83,85_89,96,100,127,136,164;?:0,8,22,36,46,77,82,98,122,132_135,137,145,149,151,153,163,166,169_171
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+62	n	Q A:164;-:3,4,10,14_16,18,80,83,85,86,88,89,96,100,127,136;G:7,87,90;?:0,8,22,36,46,77,82,98,122,132_135,137,145,149,151,153,163,166,169_171
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+176	n	A P:17;-:1_4,6,11,13,15,16,18,22,25,26,29,31,34_36,40,42,45,51,52,60_65,91,98,102,111,115_117,123,124,126_128,136,137,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+177	n	G -:1_4,6,11,13,15,16,18,22,25,26,29,31,34_36,40,42,45,51,52,60_65,91,98,102,111,115_117,123,124,126_128,136,137,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;V:17
+179	n	N -:1_4,6,11,13,15,16,18,22,25,26,29,31,34_36,40,42,45,51,52,60_65,91,98,102,111,115_117,123,124,126_128,136,137,140,145_147,153,163,164,169_171;T:17;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+182	n	W G:17;-:1_4,6,11,13,15,16,18,22,25,26,29,31,34_36,40,42,45,51,52,60_65,91,98,102,111,115_117,123,124,126_128,136,137,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+183	n	L C:17;-:1_4,6,11,13,15,16,18,22,25,26,29,31,34_36,40,42,45,51,52,60_65,91,98,102,111,115_117,123,124,126_128,136,137,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+184	n	W G:17;-:1_4,6,11,13,15,16,18,22,25,26,29,31,34_36,40,42,45,51,52,60_65,91,98,102,111,115_117,123,124,126_128,136,137,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+185	n	G A:17;-:1_4,6,11,13,15,16,18,22,25,26,29,31,34_36,40,42,45,51,52,60_65,91,98,102,111,115_117,123,124,126_128,136,137,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+186	n	N -:1_4,6,11,13,15,16,18,22,25,26,29,31,34_36,40,42,45,51,52,60_65,91,98,102,111,115_117,123,124,126_128,136,137,140,145_147,153,163,164,169_171;T:17;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+187	n	G A:17;-:1_4,6,11,13,15,16,18,22,25,26,29,31,34_36,40,42,45,51,52,60_65,91,98,102,111,115_117,123,124,126_128,136,137,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+188	n	G A:17;-:1_4,6,11,13,15,16,18,22,25,26,29,31,34_36,40,42,45,51,52,60_65,91,98,102,111,115_117,123,124,126_128,136,137,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+192	n	V A:166;-:1_4,6,11,13,15,16,18,22,25,26,29,31,34_36,40,42,45,51,52,60_65,91,98,102,111,115_117,123,124,126_128,136,137,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+218	n	G -:1_4,6,11,13,15,16,18,22,25,26,29,31,34_36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126,127,136,137,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;V:128,171
+219	n	A -:1_4,6,11,13,15,16,18,22,25,26,29,31,34_36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126,127,136,137,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;V:128,171
+220	n	G A:128,171;-:1_4,6,11,13,15,16,18,22,25,26,29,31,34_36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126,127,136,137,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+221	n	G A:128,171;-:1_4,6,11,13,15,16,18,22,25,26,29,31,34_36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126,127,136,137,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+222	n	T A:128,171;-:1_4,6,11,13,15,16,18,22,25,26,29,31,34_36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126,127,136,137,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+223	n	G P:128,171;-:1_4,6,11,13,15,16,18,22,25,26,29,31,34_36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126,127,136,137,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+224	n	G E:128,171;-:1_4,6,11,13,15,16,18,22,25,26,29,31,34_36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126,127,136,137,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+226	n	G A:128,171;-:1_4,6,11,13,15,16,18,22,25,26,29,31,34_36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126,127,136,137,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+228	n	A S:128,171;-:1_4,6,11,13,15,16,18,22,25,26,29,31,34_36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126,127,136,137,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+229	n	G Y:128,171;-:1_4,6,11,13,15,16,18,22,25,26,29,31,34_36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126,127,136,137,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+230	n	A -:1_4,6,11,13,15,16,18,22,25,26,29,31,34_36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126,127,136,137,140,145_147,153,163,164,169,170;T:128,171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+231	n	N S:128,171;-:1_4,6,11,13,15,16,18,22,25,26,29,31,34_36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126,127,136,137,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+232	n	G P:128,171;-:1_4,6,11,13,15,16,18,22,25,26,29,31,34_36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126,127,136,137,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+233	n	V -:1_4,6,11,13,15,16,18,22,25,26,29,31,34_36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126,127,136,137,140,145_147,153,163,164,169,170;L:128,171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+234	n	N P:22,128,171;-:1_4,6,11,13,15,16,18,25,26,29,31,34_36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126,127,136,137,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+236	n	T -:1_4,6,11,13,15,16,18,25,26,29,31,34_36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126,127,136,137,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;L:22,128,171
+238	n	G -:1_4,6,11,13,15,16,18,25,26,29,31,34_36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126,127,136,137,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;V:22,128,171
+239	n	P A:22;-:1_4,6,11,13,15,16,18,25,26,29,31,34_36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126,127,136,137,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;V:128,171
+242	n	S A:22;-:1_4,6,11,13,15,16,18,25,26,29,31,34_36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126,127,136,137,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;V:128,171
+243	n	T S:128,171;-:1_4,6,11,13,15,16,18,25,26,29,31,34_36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126,127,136,137,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+244	n	G A:22;-:1_4,6,11,13,15,16,18,25,26,29,31,34_36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126,127,136,137,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;V:128,171
+245	n	D A:22;-:1_4,6,11,13,15,16,18,25,26,29,31,34_36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126,127,136,137,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;V:128,171
+246	n	S -:1_4,6,11,13,15,16,18,25,26,29,31,34_36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126,127,136,137,140,145_147,153,163,164,169,170;T:22,128,171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+293	n	G X:19;-:2_4,6,11,13,15,16,18,22,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126_128,136,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+294	n	A X:19;-:2_4,6,11,13,15,16,18,22,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126_128,136,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+295	n	G X:19;-:2_4,6,11,13,15,16,18,22,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126_128,136,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+296	n	G X:19;-:2_4,6,11,13,15,16,18,22,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126_128,136,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+297	n	D X:19;-:2_4,6,11,13,15,16,18,22,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126_128,136,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+298	n	G X:19;-:2_4,6,11,13,15,16,18,22,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126_128,136,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+308	n	G E:8;-:2_4,6,11,13,15,16,18,22,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126_128,136,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+309	n	N -:2_4,6,11,13,15,16,18,22,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126_128,136,140,145_147,153,163,164,169_171;T:8;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+313	n	G A:22;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126_128,136,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+314	n	G E:22;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126_128,136,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+315	n	V S:22;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126_128,136,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+316	n	A R:22;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126_128,136,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+317	n	Q R:22;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126_128,136,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+318	n	G A:22;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126_128,136,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+319	n	D -:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126_128,136,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;T:22
+320	n	I -:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126_128,136,140,145_147,153,163,164,169_171;L:22;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+321	n	A R:22;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126_128,136,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+322	n	S A:22;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126_128,136,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+323	n	A P:22;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126_128,136,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+324	n	F -:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126_128,136,140,145_147,153,163,164,169_171;L:22;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+325	n	G A:22;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126_128,136,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+326	n	G -:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126_128,136,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;V:22
+327	n	D M:22;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126_128,136,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
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+329	n	G A:22;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,123,124,126_128,136,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+343	n	S -:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,124,126_128,136,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;V:123
+345	n	G A:123;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,124,126_128,136,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+346	n	A -:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,124,126_128,136,140,145_147,153,163,164,169_171;T:123;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+347	n	G -:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,124,126_128,136,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;V:123
+362	n	G S:77;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,124,126_128,136,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+365	n	G -:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,124,126_128,136,140,145_147,153,163,164,169_171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;D:22
+371	n	A -:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,124,126,127,136,140,145_147,153,163,164,169,170;L:128,171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+372	n	A P:128,171;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,124,126,127,136,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+373	n	S -:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,124,126,127,136,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;V:128,171
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+375	n	A P:128,171;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,124,126,127,136,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+376	n	S P:128,171;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,124,126,127,136,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+377	n	G A:128,171;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,124,126,127,136,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+378	n	A P:128,171;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,124,126,127,136,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+379	n	D -:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,124,126,127,136,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;T:128,171
+380	n	G -:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,124,126,127,136,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;V:128,171
+381	n	G A:128,171;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,124,126,127,136,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+382	n	A Q:128,171;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,124,126,127,136,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+384	n	G E:128,171;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,124,126,127,136,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+385	n	A -:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,124,126,127,136,140,145_147,153,163,164,169,170;L:128,171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;V:135,137
+386	n	G A:128,171;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,124,126,127,136,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+387	n	G A:128,171;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,124,126,127,136,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+388	n	N M:128,171;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,124,126,127,136,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+389	n	G -:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,124,126,127,136,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;V:128,171
+390	n	G A:128,171;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,124,126,127,136,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+391	n	A P:128,171;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,124,126,127,136,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+392	n	G A:128,171;-:2_4,6,11,13,15,16,18,25,26,31,34,36,40,42,45,51,52,60_62,64,65,91,98,102,111,115_117,124,126,127,136,140,145_147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+394	n	L C:128,171;-:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+395	n	L Y:128,171;-:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+396	n	F S:128,171;-:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+397	n	G -:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;V:171
+398	n	D M:171;-:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+399	n	G A:171;-:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+400	n	G A:171;-:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,147,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+401	n	N -:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,147,153,163,164,169,170;T:171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+404	n	A -:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;V:147,171
+405	n	G A:147,171;-:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+406	n	G P:127,147,171;-:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+407	n	A -:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;V:127,147,171
+408	n	G A:127,147,171;-:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+409	n	G R:127,147,171;-:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+410	n	I -:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;V:127,147,171
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+412	n	G S:127,147,171;-:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+413	n	D -:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;T:127,147,171
+414	n	G A:127,147,171;-:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+415	n	A P:127,147,171;-:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+416	n	T R:127,147,171;-:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+421	n	G E:127,171;-:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+422	n	S A:127,171;-:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+423	n	G A:127,171;-:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+424	n	G A:127,171;-:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+425	n	N -:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;T:127,171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+426	n	A -:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;L:127,171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+427	n	G A:127,171;-:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+428	n	I S:127,171;-:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+429	n	A R:127,171;-:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+430	n	R -:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;G:127,171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+431	n	F -:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;L:127,171;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+432	n	D -:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;T:127,171
+433	n	S A:127,171;-:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+434	n	P Q:127,171;-:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+435	n	D -:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;T:127,171
+437	n	E -:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;R:127;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+438	n	A Q:127;-:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+439	n	E -:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;N:127
+441	n	D M:127;-:2_4,6,11,13,15,16,25,26,31,34,36,42,45,52,60_62,64,65,91,98,102,115_117,124,145,153,163,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+442	n	V -:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115_117,153,164,169,170;W:127;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+443	n	V S:127;-:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115_117,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+444	n	G A:127;-:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115_117,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+445	n	G A:127;S:145;-:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115_117,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+446	n	K R:127;-:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115_117,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+447	n	G -:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115_117,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;V:127
+448	n	G -:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115_117,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;V:127
+449	n	D M:127;-:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115_117,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+450	n	G A:127;-:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115_117,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+451	n	G A:127;-:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115_117,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+452	n	K R:127;-:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115_117,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+453	n	G A:127;-:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115_117,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+454	n	G A:127;-:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115_117,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+455	n	S A:127;-:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115_117,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+456	n	G A:127;-:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115_117,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+458	n	G A:127;-:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115_117,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+459	n	V S:127;-:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115_117,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+460	n	G A:127;-:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115_117,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+461	n	G A:127;-:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115_117,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+462	n	A P:127;-:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115_117,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+463	n	G A:127;-:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115_117,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+465	n	T P:127;-:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115_117,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+466	n	G -:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115_117,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;D:127
+467	n	G X:146;-:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115_117,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+468	n	A X:146;-:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115_117,153,164,169,170;G:127;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+469	n	G -:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115_117,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;T:127
+470	n	G -:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115,116,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;V:117
+471	n	N S:117;-:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115,116,153,164,169,170;L:127;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+472	n	G A:117;-:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115,116,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;N:127
+473	n	G A:117,127;-:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115,116,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+474	n	A I:117;-:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115,116,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+475	n	G A:117;-:2_4,6,11,13,15,16,26,31,34,42,45,60_62,64,65,91,98,102,115,116,153,164,169,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;L:127
+477	n	L G:127;-:2_4,11,13,15,16,26,31,34,42,45,60_62,64,65,91,102,115,116,153,164,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+478	n	L -:2_4,15,16,26,31,34,42,61,62,64,91,102,115,116,153,164,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;N:127
+479	n	F -:2_4,15,16,26,31,34,42,61,62,64,91,102,115,116,153,164,170;G:127;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+481	n	N -:2_4,15,16,26,31,34,42,61,62,64,91,102,115,116,153,164,170;G:127;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+482	n	G X:51;-:2_4,15,16,26,31,34,42,61,62,64,91,102,115,116,153,164,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+483	n	G X:51;-:2_4,15,16,26,31,34,42,61,62,64,91,102,115,116,153,164,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+484	n	N X:51;V:127;-:2_4,15,16,26,31,34,42,61,62,64,91,102,115,116,153,164,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+485	n	G X:51;-:2_4,15,16,26,31,34,42,61,62,64,91,102,115,116,153,164,170;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+524	n	A X:0;-:2_4,31,34,42,61,62,64,91,102,164;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+538	n	S A:139_144;-:2_4,31,34,42,61,62,64,91,102,164;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+642	n	A Q:22;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+643	n	G E:22;D:2;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+644	n	V S:22;L:2;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+645	n	S A:22;-:2;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+646	n	G A:22;-:2;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+647	n	A L:2,22;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+648	n	D A:2;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;T:22
+649	n	G ?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;V:22
+650	n	I Y:2;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;F:22
+652	n	G A:2;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+654	n	G Q:2;X:116;R:115;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+655	n	G A:2;X:116;R:115;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+656	n	A Q:148;T:115;V:2;X:116;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+657	n	G X:116;-:2;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+658	n	G X:116;-:2;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+659	n	A P:2;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;X:116
+660	n	G X:116;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+661	n	G X:116;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+662	n	A X:116;R:148;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+665	n	S A:148;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+666	n	G A:148;X:146;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+667	n	G X:124,146;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;V:148
+668	n	E X:124,146;R:148;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+669	n	A X:124,146;Q:148;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+670	n	G A:148;X:124,146;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+671	n	A X:51,124,146;R:148;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+672	n	G X:51,124;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+673	n	G A:115,148;X:51,124;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+674	n	L X:51,124;S:148;-:115;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+675	n	T X:51,124;S:115;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;P:148
+676	n	N X:51,124;T:148;P:115;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+677	n	G A:148;X:51,124;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;T:115
+678	n	P A:115;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;X:51,124
+679	n	G X:51,124;R:115;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+680	n	S X:51,124;P:148;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;V:115
+681	n	P L:19_24,42,148;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;X:51,124
+682	n	G W:115;X:51,124;A:148;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+683	n	V X:51,124;F:148;R:115;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+684	n	S X:51,124;T:115;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;P:148
+685	n	G A:148;X:51,124;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+686	n	T X:51,124;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;P:148
+687	n	E X:51,124;K:148;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+688	n	G A:148;X:51,124;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+689	n	M X:51,124;W:148;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+690	n	A X:51,124;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;P:148
+691	n	G A:148;X:124;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+692	n	A X:124;R:148;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+693	n	P ?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167;X:124
+694	n	G A:148;X:124;?:5,7,10,14,33,47_49,71,72,80,83_90,92,95_97,100,110,112,122,125,131_134,152,167
+>Rv2488c	287	x	2800880	2797467	-
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+154	n	G E:92;-:0,2,5_7,17,18,22,26,47,48,72,80,89,98,115,125_131;?:1,8,13,110,111,123,137,163,167
+216	n	D G:19_21,23,24,43;-:0,2,5_7,17,18,22,26,47,48,72,80,89,98,115,125_131;?:1,8,13,110,111,123,137,163,167
+265	n	T I:146_150,154_162,164_166,168_172;-:0,2,5_7,17,18,22,26,47,48,72,80,89,98,115,125_131;?:1,8,13,110,111,123,137,163,167
+489	n	L -:0,2,5_7,17,22,26,47,48,72,80,89,115,125_131;?:1,8,13,110,111,123,137,163,167;V:12
+685	n	A P:134;-:0,2,5_7,17,22,26,47,48,72,80,89,115,125_131;?:1,8,13,110,111,123,137,163,167
+786	n	A -:2,17,47,48,89,115,125,128,129;T:131;?:1,8,13,110,111,123,137,163,167
+969	n	Y C:127;?:1,8,13,110,111,123,137,163,167
+1068	n	G X:0;?:1,8,13,110,111,123,137,163,167
+1071	n	T X:0;?:1,8,13,110,111,123,137,163,167
+1126	n	R H:125;?:1,8,13,110,111,123,137,163,167
+1131	n	E X:0;?:1,8,13,110,111,123,137,163,167
+1134	n	P X:0;?:1,8,13,110,111,123,137,163,167
+>Rv2489c	2180	x	2801145	2800846	-
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+>Rv2490c	2211	PE_PGRS43	2806236	2801254	-
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+1041	n	- A:164;D:0,9,20,23,25,27_30,32,37_39,41,44,52_58,66,67,69,70,75,77_79,81,93,94,99,101,103_109,113,114,119_121,130,136,138,139,141_144,147_151,154_158,160,161,165,166,168,172;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1192	n	- D:164;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146;V:0,9,12,20,23,25,27_30,32,37_39,41,44,45,52_58,66,67,69,70,73,75,77_79,81,93,94,99,101,103_109,113,114,118_121,127,130,136,138,139,141_144,147_151,154_158,160,161,165,166,168,172
+1201	n	- A:0,9,12,20,23,25,27_30,32,37_39,41,44,45,52_58,66,67,69,70,73,75,77_79,81,93,94,99,101,103_109,113,114,118_121,127,130,136,138,139,141_144,147_151,154_158,160,161,165,166,168,172;G:164;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1205	n	- D:0,9,12,20,23,25,27_30,32,37_39,41,44,45,52_58,66,67,69,70,73,75,77_79,81,93,94,99,101,103_109,113,114,118_121,127,130,136,138,139,141_144,147_151,154_158,160,161,165,166,168,172;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146;N:164
+1381	n	A -:1,3_7,10,14,16_18,26,31,33,34,36,40,42,49_51,60,61,63_65,71,72,74,82_88,91,96_98,102,111,112,115_117,122_124,126,128,131_135,137,140,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146;G:2
+1382	n	G -:1,3_7,10,14,16_18,26,31,33,34,36,40,42,49_51,60,61,63_65,71,72,74,82_88,91,96_98,102,111,112,115_117,122_124,126,128,131_135,137,140,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146;V:2
+1383	n	G -:1,3_7,10,14,16_18,26,31,33,34,36,40,42,49_51,60,61,63_65,71,72,74,82_88,91,96_98,102,111,112,115_117,122_124,126,128,131_135,137,140,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146;V:2
+1399	n	G -:1,3_7,10,14,16_18,26,31,33,34,36,40,42,49_51,60,61,63_65,71,72,74,82_88,91,96_98,102,111,112,115_117,122_124,126,128,131_135,137,140,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146;D:147,149,150,154_161,164_166,168,172
+1467	n	S A:148,158;-:1,3_7,10,14,16_18,26,31,33,34,36,40,42,49_51,60,61,63_65,71,72,74,82_88,91,96_98,102,111,112,115_117,122_124,126,128,131_135,137,140,145,152,153,162,163,167,169_171;T:127;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1468	n	G A:127;-:1,3_7,10,14,16_18,26,31,33,34,36,40,42,49_51,60,61,63_65,71,72,74,82_88,91,96_98,102,111,112,115_117,122_124,126,128,131_135,137,140,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1470	n	D R:127;-:1,3_7,10,14,16_18,26,31,33,34,36,40,42,49_51,60,61,63_65,71,72,74,82_88,91,96_98,102,111,112,115_117,122_124,126,128,131_135,137,140,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1473	n	N -:1,3_7,10,14,16_18,26,31,33,34,36,40,42,49_51,60,61,63_65,71,72,74,82_88,91,96_98,102,111,112,115_117,122_124,126,128,131_135,137,140,145,152,153,162,163,167,169_171;T:127;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1474	n	G -:1,3_7,10,14,16_18,26,31,33,34,36,40,42,49_51,60,61,63_65,71,72,74,82_88,91,96_98,102,111,112,115_117,122_124,126,128,131_135,137,140,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146;L:127
+1475	n	G -:1,3_7,10,14,16_18,26,31,33,34,36,40,42,49_51,60,61,63_65,71,72,74,82_88,91,96_98,102,111,112,115_117,122_124,126,128,131_135,137,140,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146;V:127
+1476	n	L M:127;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122_124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1477	n	G -:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122_124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146;V:127
+1478	n	G A:127;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122_124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1479	n	D W:127;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122_124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1480	n	G A:127;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122_124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1481	n	F V:127;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122_124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1483	n	Y A:127;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122_124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1485	n	A P:127;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122_124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1486	n	D -:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122_124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146;T:127
+1487	n	F E:127;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122_124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1488	n	D S:127;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122_124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1489	n	G -:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122_124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146;L:127
+1490	n	E A:127;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122_124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1491	n	P A:127;S:165;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122_124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1492	n	G -:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122_124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146;T:127
+1493	n	G E:127;S:123;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122,124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1494	n	D -:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122,124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146;V:127
+1495	n	G -:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122,124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146;T:127
+1496	n	G A:127;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122,124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1497	n	D A:127;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122,124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146;V:123
+1498	n	G S:123;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122,124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146;T:127
+1499	n	G A:127;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122,124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1500	n	D -:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122,124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146;T:123
+1502	n	G Q:123;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122,124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1503	n	W -:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122,124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146;L:123
+1504	n	G R:123;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122,124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1506	n	P -:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122,124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;L:123;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1507	n	G R:123;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122,124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1508	n	G R:123;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122,124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1509	n	Q A:123;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122,124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1510	n	G S:123;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122,124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1511	n	G -:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122,124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146;D:123
+1512	n	F I:123;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122,124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1513	n	G A:123;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122,124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1514	n	S A:123;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122,124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1515	n	T S:123;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122,124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1516	n	S A:123;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122,124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1517	n	G A:123;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122,124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1518	n	A -:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122,124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146;V:123
+1546	n	S R:148;-:3_7,10,14,16_18,33,34,36,40,42,49_51,60,61,63,71,72,83_88,91,96_98,112,115_117,122_124,126,128,131,134,135,137,145,152,153,162,163,167,169_171;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1585	n	G X:64;-:3_7,10,14,16_18,33,34,40,42,49_51,60,61,63,71,72,83_85,87,88,91,96_98,112,115,116,122_124,126,131,134,135,137,145,153,162,167,169,170;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1586	n	S X:64;-:3_7,10,14,16_18,33,34,40,42,49_51,60,61,63,71,72,83_85,87,88,91,96_98,112,115,116,122_124,126,131,134,135,137,145,153,162,167,169,170;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1587	n	G X:64;-:3_7,10,14,16_18,33,34,40,42,49_51,60,61,63,71,72,83_85,87,88,91,96_98,112,115,116,122_124,126,131,134,135,137,145,153,162,167,169,170;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1588	n	G X:64;-:3_7,10,14,16_18,33,34,40,42,49_51,60,61,63,71,72,83_85,87,88,91,96_98,112,115,116,122_124,126,131,134,135,137,145,153,162,167,169,170;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1589	n	F X:64;-:3_7,10,14,16_18,33,34,40,42,49_51,60,61,63,71,72,83_85,87,88,91,96_98,112,115,116,122_124,126,131,134,135,137,145,153,162,167,169,170;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1590	n	G X:64;-:3_7,10,14,16_18,33,34,40,42,49_51,60,61,63,71,72,83_85,87,88,91,96_98,112,115,116,122_124,126,131,134,135,137,145,153,162,167,169,170;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1591	n	A X:64;-:3_7,10,14,16_18,33,34,40,42,49_51,60,61,63,71,72,83_85,87,88,91,96_98,112,115,116,122_124,126,131,134,135,137,145,153,162,167,169,170;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1593	n	P -:3_7,10,14,16_18,33,34,40,42,49_51,60,61,63,71,72,83_85,87,88,91,96_98,112,115,116,122_124,126,131,134,135,137,145,153,162,167,169,170;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146;X:29
+1594	n	P -:3_7,10,14,16_18,33,34,40,42,49_51,60,61,63,71,72,83_85,87,88,91,96_98,112,115,116,122_124,126,131,134,135,137,145,153,162,167,169,170;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146;X:29
+1595	n	R X:29;-:3_7,10,14,16_18,33,34,40,42,49_51,60,61,63,71,72,83_85,87,88,91,96_98,112,115,116,122_124,126,131,134,135,137,145,153,162,167,169,170;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1596	n	S X:29;-:3_7,10,14,16_18,33,34,40,42,49_51,60,61,63,71,72,83_85,87,88,91,96_98,112,115,116,122_124,126,131,134,135,137,145,153,162,167,169,170;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1597	n	I X:29;-:3_7,10,14,16_18,33,34,40,42,49_51,60,61,63,71,72,83_85,87,88,91,96_98,112,115,116,122_124,126,131,134,135,137,145,153,162,167,169,170;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1598	n	G X:29;-:3_7,10,14,16_18,33,34,40,42,49_51,60,61,63,71,72,83_85,87,88,91,96_98,112,115,116,122_124,126,131,134,135,137,145,153,162,167,169,170;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1599	n	G X:29;-:3_7,10,14,16_18,33,34,40,42,49_51,60,61,63,71,72,83_85,87,88,91,96_98,112,115,116,122_124,126,131,134,135,137,145,153,162,167,169,170;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1600	n	G X:29;-:3_7,10,14,16_18,33,34,40,42,49_51,60,61,63,71,72,83_85,87,88,91,96_98,112,115,116,122_124,126,131,134,135,137,145,153,162,167,169,170;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1601	n	D X:29;-:3_7,10,14,16_18,33,34,40,42,49_51,60,61,63,71,72,83_85,87,88,91,96_98,112,115,116,122,124,126,131,134,135,137,145,153,162,167,169,170;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146;N:123
+1602	n	G X:29;-:3_7,10,14,16_18,33,34,40,42,49_51,60,61,63,71,72,83_85,87,88,91,96_98,112,115,116,122,124,126,131,134,135,137,145,153,162,167,169,170;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1607	n	R P:2;-:3_7,10,14,16_18,33,34,40,42,49_51,60,61,63,71,72,83_85,87,88,91,96_98,112,115,116,122,124,126,131,134,135,137,145,153,162,167,169,170;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
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+1614	n	G S:2;-:3_7,10,14,16,18,33,34,40,42,49_51,60,61,63,71,72,83_85,87,88,91,96_98,112,115,116,122,124,126,131,134,135,137,145,153,162,167,169,170;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
+1615	n	A S:2;-:3_7,10,14,16,18,33,34,40,42,49_51,60,61,63,71,72,83_85,87,88,91,96_98,112,115,116,122,124,126,131,134,135,137,145,153,162,167,169,170;?:13,15,22,46_48,68,80,89,90,92,95,100,110,125,129,146
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+>Rv2491	3382	x	2806665	2807288	+
+14	n	D -:22,125;V:88
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+407	n	N R:111;-:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+409	n	G -:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110;V:111
+411	n	G A:111;-:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+413	n	A P:111;-:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+417	n	G R:111;-:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+418	n	E -:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110;P:111
+419	n	A R:111;-:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+420	n	G -:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110;D:111
+423	n	G R:111;-:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+424	n	G E:111;-:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+430	n	E -:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;S:111;?:15,47,48,80,83,85,89,97,98,100,110
+431	n	S R:111;-:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+432	n	L S:111;-:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+433	n	D -:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110;T:111
+434	n	G A:111;-:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+435	n	N -:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;T:111;?:15,47,48,80,83,85,89,97,98,100,110
+436	n	D -:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110;T:111
+437	n	G A:111;-:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+438	n	T P:111;-:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+439	n	G A:111;-:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+440	n	G -:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110;V:111
+441	n	K R:111;-:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+442	n	G -:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110;V:111
+443	n	G E:111;-:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+444	n	A P:111;-:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+448	n	A -:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110;V:1,131
+453	n	G R:111;-:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+464	n	G S:111;-:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_129,132,133,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+495	n	G A:129;-:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_124,126_128,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+496	n	G A:129;-:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_124,126_128,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+497	n	K R:129;-:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_124,126_128,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+500	n	Q E:166;-:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_124,126_128,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+504	n	T M:168;-:2_7,10,14,16_18,22,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_124,126_128,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+571	n	G X:91;-:2_7,10,14,16_18,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_124,126,127,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+572	n	G X:91;-:2_7,10,14,16_18,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_124,126,127,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+573	n	V X:91,102;-:2_7,10,14,16_18,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_124,126,127,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+574	n	G X:91,102;-:2_7,10,14,16_18,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_124,126,127,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+575	n	G X:91,102;-:2_7,10,14,16_18,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_124,126,127,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+576	n	A X:91,102;-:2_7,10,14,16_18,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_124,126,127,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+577	n	G X:91,102;-:2_7,10,14,16_18,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_124,126,127,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+578	n	G X:102;-:2_7,10,14,16_18,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_124,126,127,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+585	n	A S:125,128,129;-:2_7,10,14,16_18,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_124,126,127,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+593	n	G X:40;-:2_7,10,14,16_18,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_124,126,127,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+594	n	G X:19,40;-:2_7,10,14,16_18,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_124,126,127,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+595	n	L X:19,40;-:2_7,10,14,16_18,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_124,126,127,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+596	n	G X:19,40;-:2_7,10,14,16_18,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_124,126,127,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+597	n	G X:19,40;-:2_7,10,14,16_18,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122_124,126,127,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+598	n	L X:19,40;-:2_7,10,14,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+599	n	G X:19,40;-:2_7,10,14,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+616	n	N -:3_5,7,10,14,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,132,135,136,140,145,146,152,153,159,163,167,170,171;D:6;?:15,47,48,80,83,85,89,97,98,100,110
+617	n	G -:3_5,7,10,14,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110;D:133,134
+619	n	A R:36;-:3_7,10,14,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+620	n	A -:3_7,10,14,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,132,135,136,140,145,146,152,153,159,163,167,170,171;L:36;?:15,47,48,80,83,85,89,97,98,100,110
+622	n	S R:36;-:3_7,10,14,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+623	n	L S:36;-:3_7,10,14,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+624	n	I S:36;-:3_7,10,14,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+627	n	G -:3_7,10,14,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110;V:36
+628	n	G -:3_7,10,14,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110;V:36
+629	n	G A:36;-:3_7,10,14,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+631	n	G -:3_7,10,14,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110;V:36,169
+632	n	A P:36,169;-:3_7,10,14,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+633	n	G A:36,169;-:3_7,10,14,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+634	n	G -:3_7,10,14,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110;V:36,169
+635	n	V S:36,169;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+636	n	G A:36,169;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+637	n	G A:36,169;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+638	n	T P:36,169;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+639	n	G X:29;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110;V:36,169
+640	n	G A:36,169;X:29;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+641	n	I X:29;S:36,169;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+642	n	G A:36,169;X:29;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+643	n	G A:36,169;X:29;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+644	n	I X:29;S:36,169;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+645	n	G X:29,36;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110;V:169
+646	n	G X:29,36;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110;V:169
+647	n	A X:29,36;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110;P:169
+648	n	G A:169;X:29,36;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+649	n	G A:169;X:29,36;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+650	n	N X:29,36;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;T:169;?:15,47,48,80,83,85,89,97,98,100,110
+651	n	G X:29,36;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110;V:169
+652	n	G A:169;X:29,36;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+653	n	A X:29,36;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110;P:169
+654	n	G A:169;X:29,36;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+655	n	G A:169;X:29,36;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+656	n	A X:29,36;R:169;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+657	n	G X:29,36;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110;V:169
+658	n	T X:29,36;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110;P:169
+659	n	T X:29,36;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110;P:169
+660	n	T X:29,36;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110;P:169
+661	n	G A:169;X:29,36;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+662	n	G X:29,36;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+663	n	G X:29,36;E:169;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+664	n	A X:29,36;R:169;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+665	n	T Q:169;X:29,36;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+666	n	I X:29,36;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;L:169;?:15,47,48,80,83,85,89,97,98,100,110
+667	n	G A:36,169;X:29;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+668	n	G X:29;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110;V:36,169
+669	n	G A:36,169;X:21,29;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+670	n	G A:36,169;X:21,29,91;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+671	n	G X:21,29,91;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110;V:36,169
+672	n	T -:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;Q:169;R:36;X:21,29,91;?:15,47,48,80,83,85,89,97,98,100,110
+673	n	G A:169;X:21,29,91;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+674	n	G A:169;X:21,29,91;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,123,126,127,131,132,135,136,140,145,146,152,153,159,163,167,170,171;?:15,47,48,80,83,85,89,97,98,100,110
+675	n	V -:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,126,127,131,132,135,136,140,145,146,152,153,159,163,170;R:36;W:169;X:12,21,29,91;?:15,47,48,80,83,85,89,97,98,100,110
+676	n	G X:12,21,29,91;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,126,127,131,132,135,136,140,145,146,152,153,159,163,170;?:15,47,48,80,83,85,89,97,98,100,110
+677	n	G A:169;X:12,21,29,91;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,126,127,131,132,135,136,140,145,146,151_153,159,163,170;?:15,47,48,80,83,85,89,97,98,100,110
+678	n	A X:12,21,29,59,91;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,126,127,131,132,135,136,140,145,146,151_153,159,163,170;?:15,47,48,80,83,85,89,97,98,100,110
+679	n	G X:12,21,29,59,91;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,126,127,131,132,135,136,140,145,146,151_153,159,163,170;?:15,47,48,80,83,85,89,97,98,100,110
+680	n	G X:21,29,59,91;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,126,127,131,132,135,136,140,145,146,151_153,159,163,170;?:15,47,48,80,83,85,89,97,98,100,110
+681	n	T X:21,29,59,91;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,126,127,131,132,135,136,140,145,146,151_153,159,163,170;?:15,47,48,80,83,85,89,97,98,100,110
+682	n	G X:21,29,59,91;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,126,127,131,132,135,136,140,145,146,151_153,159,163,170;?:15,47,48,80,83,85,89,97,98,100,110
+683	n	G X:21,29,59,91;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,126,127,131,132,135,136,140,145,146,151_153,159,163,170;?:15,47,48,80,83,85,89,97,98,100,110
+684	n	T X:21,29,59,91;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,126,127,131,132,135,136,140,145,146,151_153,159,163,170;?:15,47,48,80,83,85,89,97,98,100,110
+685	n	G X:21,29,40,44,59,91;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,126,127,131,132,135,136,140,145,146,151_153,159,163,170;?:15,47,48,80,83,85,89,97,98,100,110
+686	n	G X:19,21,29,40,44,59,91;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,126,127,131,132,135,136,140,145,146,151_153,159,163,170;?:15,47,48,80,83,85,89,97,98,100,110
+687	n	A X:19,21,29,40,44,59,91;-:3_7,10,14,16,26,33,42,49_51,61_64,71,72,84,86_88,90,92,95,96,112,115,116,122,126,127,131,132,135,136,140,145,146,151_153,159,163,170;?:15,47,48,80,83,85,89,97,98,100,110
+688	n	G X:19,21,29,34,40,44,59,62,91;-:3_7,10,14,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,126,127,131,132,135,136,140,145,146,151_153,159,163,170;?:15,47,48,80,83,85,89,97,98,100,110
+689	n	G X:13,19,21,29,34,40,44,59,62,91;-:3_7,10,14,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,126,127,131,132,135,136,140,145,146,151_153,159,163,170;?:15,47,48,80,83,85,89,97,98,100,110
+690	n	T X:13,21,40,44,59,62,91,102;-:3_7,10,14,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,126,127,131,132,135,136,140,145,146,151_153,159,163,170;?:15,47,48,80,83,85,89,97,98,100,110
+691	n	T X:13,21,40,44,59,62,102;-:3_7,10,14,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,126,127,131,132,135,136,140,145,146,151_153,159,163,170;?:15,47,48,80,83,85,89,97,98,100,110
+692	n	G A:62;X:13,21,40,44,59,67,102;-:3_7,10,14,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,126,127,131,132,135,136,140,145,146,151_153,159,163,170;?:15,47,48,80,83,85,89,97,98,100,110
+693	n	G X:13,21,40,44,59,67,102;-:3_7,10,14,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,126,127,131,132,135,136,140,145,146,151_153,159,163,170;?:15,47,48,80,83,85,89,97,98,100,110;P:62
+694	n	S X:13,21,40,44,59,67,102;-:3_7,10,14,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,126,127,131,132,135,136,140,145,146,151_153,159,163,170;?:15,47,48,80,83,85,89,97,98,100,110;V:62
+695	n	G A:62;X:13,21,24,40,43,44,59,67,102;-:3_7,10,14,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,126,127,131,132,135,136,140,145,146,151_153,159,163,170;?:15,47,48,80,83,85,89,97,98,100,110
+696	n	G X:13,21,24,40,43,44,59,67,102;S:62;-:3_7,10,14,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,126,127,131,132,135,136,140,145,146,151_153,159,163,170;?:15,47,48,80,83,85,89,97,98,100,110
+697	n	A P:2;-:3_7,10,14,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,126,127,131,132,135,136,140,145,146,151_153,159,163,170;?:15,47,48,80,83,85,89,97,98,100,110;X:13,21,40,43,44,59,67,102
+698	n	G A:62;-:5_7,10,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,127,131,132,136,140,145,146,151,153,159;P:2;X:13,21,40,43,44,59,67,102;?:15,47,48,80,83,85,89,97,98,100,110
+699	n	G X:13,21,40,43,44,59,67,102;S:62;-:2,5_7,10,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,127,131,132,136,140,145,146,151,153,159;?:15,47,48,80,83,85,89,97,98,100,110
+700	n	L X:13,21,31,40,43,44,59,67,102;-:2,5_7,10,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,127,131,132,136,140,145,146,151,153,159;?:15,47,48,80,83,85,89,97,98,100,110;V:62
+701	n	I X:13,21,31,40,43,44,59,67,102;-:5_7,10,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,127,131,132,136,140,145,146,151,153,159;?:15,47,48,80,83,85,89,97,98,100,110;V:2,62
+702	n	G -:5,7,10,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,127,131,132,136,140,145,146,151,153,159;P:62;V:2;X:13,21,31,40,43,44,59,67,102;?:15,47,48,80,83,85,89,97,98,100,110
+703	n	W A:62;X:13,21,31,40,43,44,59,67,102;-:5,7,10,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,127,131,132,136,140,145,146,151,153,159;?:15,47,48,80,83,85,89,97,98,100,110
+704	n	A X:13,21,31,40,44,59,67,102;-:5,7,10,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,127,131,132,136,140,145,146,151,153,159;?:15,47,48,80,83,85,89,97,98,100,110;N:2
+705	n	G A:6;-:5,7,10,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,127,131,132,136,140,145,146,151,153,159;T:62;X:13,21,40,44,59,67,102;?:15,47,48,80,83,85,89,97,98,100,110
+706	n	A -:5,7,10,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,127,131,132,136,140,145,146,151,153,159;S:2;V:62;X:21,40,44,59,67,102;?:15,47,48,80,83,85,89,97,98,100,110
+707	n	A C:2;-:5,7,10,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,127,131,132,136,140,145,146,151,153,159;P:6;X:21,40,44,59,102;?:15,47,48,80,83,85,89,97,98,100,110
+708	n	G -:5,7,10,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,127,131,132,136,140,145,146,151,153,159;P:62;R:2;X:21,40,44,59,102;?:15,47,48,80,83,85,89,97,98,100,110
+709	n	G A:62;X:21,40,44,59,102;-:5,7,10,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,127,131,132,136,140,145,146,151,153,159;?:15,47,48,80,83,85,89,97,98,100,110
+710	n	T A:62;X:21,40,44,102;-:5,7,10,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,127,131,132,136,140,145,146,151,153,159;?:15,47,48,80,83,85,89,97,98,100,110
+711	n	G X:21,40,44,102;R:62;-:5,7,10,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,127,131,132,136,140,145,146,151,153,159;?:15,47,48,80,83,85,89,97,98,100,110
+712	n	A X:21,40,44,102,118;-:5,7,10,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,127,131,132,136,140,145,146,151,153,159;?:15,47,48,80,83,85,89,97,98,100,110;V:62
+713	n	G X:21,40,44,45,102,118;-:5,7,10,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,127,131,132,136,140,145,146,151,153,159;?:15,47,48,80,83,85,89,97,98,100,110;P:62
+714	n	G X:21,40,44,45,102,118;-:5,7,10,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,127,131,132,136,140,145,146,151,153,159;?:15,47,48,80,83,85,89,97,98,100,110;P:62
+715	n	T X:21,40,44,45,102,118;-:5,7,10,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,127,131,132,136,140,145,146,151,153,159;?:15,47,48,80,83,85,89,97,98,100,110;P:62
+716	n	G A:62;X:21,40,44,45,102,118;-:5,7,10,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,127,131,132,136,140,145,146,151,153,159;?:15,47,48,80,83,85,89,97,98,100,110
+717	n	G X:40,45,102,118;-:5,7,10,16,26,33,42,49_51,61,63,64,71,72,84,86_88,90,92,95,96,112,115,116,122,127,131,132,136,140,145,146,151,153,159;?:15,47,48,80,83,85,89,97,98,100,110
+718	n	Q X:40,102,118;E:62;-:5,7,10,16,26,42,49,51,61,63,71,72,86_88,90,92,95,96,112,115,116,122,127,131,132,140,146,151,153,159;?:15,47,48,80,83,85,89,97,98,100,110
+719	n	G X:40,118;R:62;-:5,7,10,16,26,42,49,51,61,63,71,72,86_88,90,92,95,96,112,115,116,122,127,131,132,140,146,151,153,159;?:15,47,48,80,83,85,89,97,98,100,110
+720	n	G Q:62;X:35,40,118;-:5,7,10,16,26,42,49,51,61,63,71,72,86_88,90,92,95,96,112,115,116,122,127,131,132,140,146,151,153,159;?:15,47,48,80,83,85,89,97,98,100,110
+721	n	L X:35,40;-:5,7,10,16,26,42,49,51,61,63,71,72,86_88,90,92,95,96,112,115,116,122,127,131,132,140,146,151,153,159;?:15,47,48,80,83,85,89,97,98,100,110
+722	n	G A:62;X:35,40;-:5,7,10,16,26,42,49,51,61,63,71,72,86_88,90,92,95,96,112,115,116,122,127,131,132,140,146,151,153,159;?:15,47,48,80,83,85,89,97,98,100,110
+723	n	G X:35,40;-:5,7,10,16,26,42,49,51,61,63,71,72,86_88,90,92,95,96,112,115,116,122,127,131,132,140,146,151,153,159;?:15,47,48,80,83,85,89,97,98,100,110;V:62
+724	n	Q X:35,40;-:5,7,10,16,26,42,49,51,61,63,71,72,86_88,90,92,95,96,112,115,116,122,127,131,132,140,146,151,153,159;A:62;?:15,47,48,80,83,85,89,97,98,100,110
+725	n	G A:62;X:35,40;-:5,7,10,16,26,42,49,51,61,63,71,72,86_88,90,92,95,96,112,115,116,122,127,131,132,140,146,151,153,159;?:15,47,48,80,83,85,89,97,98,100,110
+726	n	G X:35,40;-:5,7,10,16,26,42,49,51,61,63,71,72,86_88,90,92,95,96,112,115,116,122,127,131,132,140,146,151,153,159;?:15,47,48,80,83,85,89,97,98,100,110;V:62
+727	n	N Q:62;X:35,40;-:5,10,16,42,49,51,61,63,72,86,88,90,96,112,115,116,122,127,131,132,140,146,151;?:15,47,48,80,83,85,89,97,98,100,110
+728	n	G A:62;X:35,40;-:5,10,16,42,49,51,61,63,72,86,88,90,96,112,115,116,122,127,131,132,140,146,151;?:15,47,48,80,83,85,89,97,98,100,110
+729	n	G A:62;C:137;-:5,10,16,42,49,51,61,63,72,86,88,90,96,112,115,116,122,127,131,132,140,146,151;X:35,40;?:15,47,48,80,83,85,89,97,98,100,110
+730	n	N X:35,40;-:5,10,16,42,49,51,61,63,72,86,88,90,96,112,115,116,122,127,131,132,140,146,151;W:62;?:15,47,48,80,83,85,89,97,98,100,110
+731	n	G X:35,40;-:5,10,16,42,49,51,61,63,72,86,88,90,96,112,115,116,122,127,131,132,140,146,151;?:15,47,48,80,83,85,89,97,98,100,110
+732	n	G X:35,40;-:5,10,16,42,49,51,61_63,72,86,88,90,96,112,115,116,122,127,131,132,140,146,151;?:15,47,48,80,83,85,89,97,98,100,110
+733	n	T X:35;-:5,10,16,42,49,51,61_63,72,86,88,90,96,112,115,116,122,127,131,132,140,146,151;?:15,47,48,80,83,85,89,97,98,100,110
+735	n	A E:137;-:5,10,16,42,49,51,61_63,72,86,88,90,96,112,115,116,122,127,131,132,140,146,151;?:15,47,48,80,83,85,89,97,98,100,110
+741	n	G -:62,131,151;?:15,47,48,80,83,85,89,97,98,100,110;V:137
+746	n	G ?:15,47,48,80,83,85,89,97,98,100,110;V:62,151
+747	n	G A:62,151;X:137;?:15,47,48,80,83,85,89,97,98,100,110
+748	n	N X:137;L:62,151;?:15,47,48,80,83,85,89,97,98,100,110
+749	n	G A:62,151;X:137;?:15,47,48,80,83,85,89,97,98,100,110
+750	n	G X:137;?:15,47,48,80,83,85,89,97,98,100,110;V:62,151
+751	n	A P:62,151;?:15,47,48,80,83,85,89,97,98,100,110;X:137
+752	n	G A:3,4,62,151;X:137;?:15,47,48,80,83,85,89,97,98,100,110
+753	n	G A:3,4,62,151;X:137;?:15,47,48,80,83,85,89,97,98,100,110
+754	n	A P:62,151;R:3,4;?:15,47,48,80,83,85,89,97,98,100,110;X:137
+755	n	G A:62,151;X:137;?:15,47,48,80,83,85,89,97,98,100,110;V:3,4
+756	n	G X:137;?:15,47,48,80,83,85,89,97,98,100,110
+757	n	S X:137;H:3,4;?:15,47,48,80,83,85,89,97,98,100,110;P:62,151
+758	n	P R:3,4;?:15,47,48,80,83,85,89,97,98,100,110;X:137
+759	n	G A:62,151;R:8;V:3,4;X:137;?:15,47,48,80,83,85,89,97,98,100,110
+760	n	G A:3,4,62,151;X:137;?:15,47,48,80,83,85,89,97,98,100,110;V:8
+761	n	S A:3,4,8,62,151;X:137;?:15,47,48,80,83,85,89,97,98,100,110
+762	n	S A:8,62,151;P:3,4;?:15,47,48,80,83,85,89,97,98,100,110;X:137
+763	n	G A:3,4;-:62,151;P:8;X:137;?:15,47,48,80,83,85,89,97,98,100,110
+764	n	I A:8;-:62,151;S:3,4;X:137;?:15,47,48,80,83,85,89,97,98,100,110
+765	n	Q -:62,151;S:8;R:3,4;X:137;?:15,47,48,80,83,85,89,97,98,100,110
+766	n	G A:3,4;-:62,151;R:8;X:137;?:15,47,48,80,83,85,89,97,98,100,110
+767	n	N A:8;I:3,4;-:62,151;X:137;?:15,47,48,80,83,85,89,97,98,100,110
+768	n	M I:8;-:62,151;W:3,4;X:137;?:15,47,48,80,83,85,89,97,98,100,110
+769	n	G A:8;E:62,151;R:3,4;X:137;?:15,47,48,80,83,85,89,97,98,100,110
+770	n	P ?:15,47,48,80,83,85,89,97,98,100,110;X:137
+771	n	P A:3,4,62,151;?:15,47,48,80,83,85,89,97,98,100,110;X:137
+772	n	G P:3,4;?:15,47,48,80,83,85,89,97,98,100,110;X:137
+773	n	T X:137;R:3,4;-:62,151;?:15,47,48,80,83,85,89,97,98,100,110
+774	n	Q A:3,4;-:62,151;?:15,47,48,80,83,85,89,97,98,100,110;X:137
+775	n	G C:82;-:62,151;P:3,4;X:137;?:15,47,48,80,83,85,89,97,98,100,110
+776	n	A X:137;-:62,151;T:3,4;?:15,47,48,80,83,85,89,97,98,100,110
+777	n	D X:137;-:62,151;?:15,47,48,80,83,85,89,97,98,100,110
+778	n	G X:137;S:3,4;-:62,151;?:15,47,48,80,83,85,89,97,98,100,110
+>Rv2635	1148	x	2962470	2962712	+
+-50	p	A T:132;?:0_2,8_11,20,32,36,38,46,54,83,85,87,89,90,99,101,107,111,119,121,123,125,129,133,137,165,168,172
+-45	p	G A:132;?:0_2,8_11,20,32,36,38,46,54,83,85,87,89,90,99,101,107,111,119,121,123,125,129,133,137,165,168,172
+-44	p	C G:132;?:0_2,8_11,20,32,36,38,46,54,83,85,87,89,90,99,101,107,111,119,121,123,125,129,133,137,165,168,172
+-36	p	G ?:0_2,8_11,20,32,36,38,46,54,83,85,87,89,90,99,101,107,111,119,121,123,125,129,133,137,165,168,172;T:132
+-30	p	A G:132;?:0_2,8_11,20,32,36,38,46,54,83,85,87,89,90,99,101,107,111,119,121,123,125,129,133,137,165,168,172
+-27	p	T G:132;?:0_2,8_11,20,32,36,38,46,54,83,85,87,89,90,99,101,107,111,119,121,123,125,129,133,137,165,168,172
+-25	p	A C:132;?:0_2,8_11,20,32,36,38,46,54,83,85,87,89,90,99,101,107,111,119,121,123,125,129,133,137,165,168,172
+-24	p	T A:132;?:0_2,8_11,20,32,36,38,46,54,83,85,87,89,90,99,101,107,111,119,121,123,125,129,133,137,165,168,172
+-23	p	C T:132;?:0_2,8_11,20,32,36,38,46,54,83,85,87,89,90,99,101,107,111,119,121,123,125,129,133,137,165,168,172
+-20	p	C T:132;?:0_2,8_11,20,32,36,38,46,54,83,85,87,89,90,99,101,107,111,119,121,123,125,129,133,137,165,168,172
+-19	p	G C:132;?:0_2,8_11,20,32,36,38,46,54,83,85,87,89,90,99,101,107,111,119,121,123,125,129,133,137,165,168,172
+-18	p	G A:132;?:0_2,8_11,20,32,36,38,46,54,83,85,87,89,90,99,101,107,111,119,121,123,125,129,133,137,165,168,172
+-17	p	C A:132;?:0_2,8_11,20,32,36,38,46,54,83,85,87,89,90,99,101,107,111,119,121,123,125,129,133,137,165,168,172
+-16	p	A T:132;?:0_2,8_11,20,32,36,38,46,54,83,85,87,89,90,99,101,107,111,119,121,123,125,129,133,137,165,168,172
+-13	p	C T:132;?:0_2,8_11,20,32,36,38,46,54,83,85,87,89,90,99,101,107,111,119,121,123,125,129,133,137,165,168,172
+-12	p	G ?:0_2,8_11,20,32,36,38,46,54,83,85,87,89,90,99,101,107,111,119,121,123,125,129,133,137,165,168,172;T:132
+-9	p	A G:132;?:0_2,8_11,20,32,36,38,46,54,83,85,87,89,90,99,101,107,111,119,121,123,125,129,133,137,165,168,172
+-8	p	C G:132;?:0_2,8_11,20,32,36,38,46,54,83,85,87,89,90,99,101,107,111,119,121,123,125,129,133,137,165,168,172
+-3	p	C G:132;?:0_2,8_11,20,32,36,38,46,54,83,85,87,89,90,99,101,107,111,119,121,123,125,129,133,137,165,168,172
+0	p	D A:112_114;-:0_2,8_11,20,32,36,38,46,54,83,85,87,89,90,99,101,107,111,119,121,123,129,133,165,168,172;?:125
+15	n	Y X:0;?:125
+35	n	R H:163;?:125
+56	n	G ?:125;V:128
+57	n	V C:128;?:125
+58	n	Q R:128;?:125
+59	n	N T:128;?:125
+60	n	C A:128;?:125
+61	n	A Q:128;?:125
+62	n	V L:128;?:125
+63	n	S A:128;?:125
+64	n	K ?:125;N:128
+67	n	C A:128;?:125
+68	n	S D:128;?:125
+70	n	V A:128;?:125
+71	n	D R:128;?:125
+72	n	H W:128;?:125
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+75	n	R A:128;?:125
+76	n	T A:128;?:125
+77	n	P A:128;?:125
+78	n	Y H:128;?:125
+80	n	R T:128;?:125
+>Rv2636	5491	x	2962713	2963390	+
+77	n	Y C:110;?:5_7,17,167
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+24	n	Q P:115;-:0,1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+26	n	V -:0,1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;L:115;?:2,128
+27	n	G -:0,1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128;F:115
+28	n	D S:115;-:0,1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+29	n	D R:115;-:0,1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+31	n	T W:115;-:0,1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+32	n	I A:115;-:0,1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+33	n	T C:115;-:0,1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+34	n	L R:115;-:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+35	n	F X:0;N:115;-:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+36	n	E -:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;G:115;?:2,128
+37	n	P Q:115;-:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+39	n	D R:115;-:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+40	n	R Q:115;-:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+41	n	L A:115;-:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+42	n	G P:115;-:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+44	n	V A:115;-:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+45	n	L A:115;-:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+46	n	R A:115;-:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+47	n	T A:115;-:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+48	n	E -:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128;H:115
+49	n	H -:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;L:115;?:2,128
+50	n	I -:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;T:115;?:2,128
+52	n	G K:115;-:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+55	n	M -:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;L:115;?:2,128
+56	n	D Q:115;-:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+57	n	L P:115;-:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+58	n	G A:115;-:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+60	n	E A:115;-:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+62	n	F -:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;D:115;?:2,128
+63	n	V -:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;G:115;?:2,128
+64	n	L R:115;-:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+65	n	R P:115;-:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+66	n	R -:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;D:115;?:2,128
+67	n	P S:115;-:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+68	n	E -:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;R:115;?:2,128
+69	n	M -:1,10,15,17,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;R:115;?:2,128
+70	n	P R:17,115;-:1,10,15,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+71	n	A R:17,115;-:1,10,15,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+72	n	L A:115;-:1,10,15,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128;F:17
+73	n	L W:17;P:115;-:1,10,15,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+74	n	A P:17;-:1,10,15,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;W:115;?:2,128
+75	n	E -:1,10,15,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;S:17;R:115;?:2,128
+76	n	L W:17;G:115;-:1,10,15,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+77	n	G A:17;W:115;-:1,10,15,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+78	n	L S:115;C:17;-:1,10,15,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+79	n	S R:17;-:1,10,15,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;T:115;?:2,128
+80	n	D -:1,10,15,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128;T:17,115
+81	n	R A:17;Q:115;-:1,10,15,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+82	n	Q P:115;-:1,10,15,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+83	n	L W:115;-:1,10,15,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+84	n	A R:115;-:1,10,15,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+85	n	S -:1,10,15,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;G:115;?:2,128
+86	n	T S:115;-:1,10,15,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+87	n	G -:1,10,15,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128;T:115
+88	n	A P:115;-:1,10,15,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+89	n	R K:115;-:1,10,15,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+92	n	I -:1,10,15,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128;V:115
+93	n	Y R:115;-:1,10,15,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+95	n	Q P:115;-:1,10,15,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
+96	n	Q -:1,10,15,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;G:115;?:2,128
+98	n	L W:115;-:10,15,18,22,33,47_49,61,71,72,80,87,92,96,97,100,110_112,116,126,129,133,137,138,145,146,148,153,162,167;?:2,128
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+621	n	L A:0,1;?:125,128
+622	n	V C:0,1;?:125,128
+623	n	H S:122;R:0,1;?:125,128
+624	n	A ?:125,128;W:122
+625	n	V ?:125,128;W:0,1
+628	n	V ?:125,128;L:0,1;W:122
+629	n	A S:122;T:0,1;?:125,128
+>Rv2851c	1392	elaA	3160521	3160051	-
+-49	p	G A:132_134;?:1,2,167
+-48	p	G A:132_134;?:1,2,167
+-47	p	C A:132_134;?:1,2,167
+-43	p	G C:132_134;?:1,2,167
+-42	p	A T:132_134;?:1,2,167
+-40	p	A G:132_134;?:1,2,167
+-39	p	C A:132_134;?:1,2,167
+-38	p	A C:132_134;?:1,2,167
+-36	p	T C:132_134;?:1,2,167
+-35	p	G C:132_134;?:1,2,167
+-34	p	G C:132_134;?:1,2,167
+-22	p	G C:132_134;?:1,2,167
+-21	p	C T:132_134;?:1,2,167
+-18	p	G A:132_134;-:127;?:1,2,167
+-6	p	G ?:1,2,167;T:132_134
+-3	p	G ?:1,2,167;T:132_134
+-1	p	T A:132_134;?:1,2,167
+0	p	T A:132_134;?:1,2,167
+52	n	F X:0;-:1;?:2,167
+>Rv2852c	4242	mqo	3162061	3160580	-
+14	n	A -:3_7,22,98,115,132,147;G:138_145
+35	n	T X:0;-:3_7,22,98,115,132,147
+40	n	L X:0;-:3_7,22,98,115,132,147
+90	n	T X:0;-:3_7,22,98,115,132
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+122	n	S X:0;-:3_7,22,98,115,132
+142	n	A X:0;-:3_7,22,98,115,132
+147	n	I -:3_7,98,115,132;L:22
+148	n	E -:3_7,98,115,132;P:22
+149	n	S -:3_7,98,115,132;G:22
+151	n	D A:22;-:3_7,98,115,132
+153	n	F N:22;-:3_7,98,115,132
+154	n	A P:22,81;-:3_7,98,115,132
+156	n	R S:22;-:3_7,98,115,132
+158	n	P X:0;-:3_7,22,98,115,132
+167	n	S X:0;-:3_7,22,98,115,132
+235	n	T X:0;-:3_7,22,98,115,132
+236	n	K X:0;-:3_7,22,98,115,132
+240	n	V X:0;-:3_7,22,98,115,132
+243	n	G X:0;-:3_7,22,98,115,132
+257	n	E -:3_7,98,132;R:22
+258	n	V S:22;-:3_7,98,132
+268	n	G X:0;-:3_7,98,132
+314	n	V X:0;-:3_7,98,132;G:81,130,148
+315	n	F X:0;-:3_7,98,132
+317	n	P X:0;-:3_7,98,132
+318	n	Y X:0;-:3_7,98,132
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+>Rv2853	981	PE_PGRS48	3162268	3164115	+
+18	n	L -:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,74,76,80,83_90,95,96,100,102,112,115,116,118,120_122,125,129,131_133,137,140,146,150,153,159,163,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167;V:98
+19	n	A R:98;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,74,76,80,83_90,95,96,100,102,112,115,116,118,120_122,125,129,131_133,137,140,146,150,153,159,163,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+20	n	E -:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,74,76,80,83_90,95,96,100,102,112,115,116,118,120_122,125,129,131_133,137,140,146,150,153,159,163,169_171;K:98;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+22	n	G R:98;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,74,76,80,83_90,95,96,100,102,112,115,116,118,120_122,125,129,131_133,137,140,146,150,153,159,163,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+24	n	A K:98;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,74,76,80,83_90,95,96,100,102,112,115,116,118,120_122,125,129,131_133,137,140,146,150,153,159,163,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+25	n	I -:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,74,76,80,83_90,95,96,100,102,112,115,116,118,120_122,125,131_133,137,140,146,150,153,159,163,169,171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167;V:129,170
+26	n	S R:98,129,170;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,74,76,80,83_90,95,96,100,102,112,115,116,118,120_122,125,131_133,137,140,146,150,153,159,163,169,171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+27	n	T A:129,170;S:98;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,74,76,80,83_90,95,96,100,102,112,115,116,118,120_122,125,131_133,137,140,146,150,153,159,163,169,171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+28	n	A R:98;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,74,76,80,83_90,95,96,100,102,112,115,116,118,120_122,125,131_133,137,140,146,150,153,159,163,169,171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167;V:129,170
+29	n	N R:129,170;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,74,76,80,83_90,95,96,100,102,112,115,116,118,120_122,125,131_133,137,140,146,150,153,159,163,169,171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+30	n	G A:129,170;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,74,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,131_133,137,140,146,150,153,159,163,169,171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+31	n	A -:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,74,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131_133,137,140,146,150,153,159,163,169,171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167;V:170
+32	n	A P:170;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,74,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131_133,137,140,146,150,153,159,163,169,171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+33	n	A X:0;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,74,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131_133,137,140,146,150,153,159,163,169,171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+34	n	L A:170;X:0;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,74,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131_133,137,140,146,150,153,159,163,169,171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+36	n	T E:170;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,74,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131_133,137,140,146,150,153,159,163,169,171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+37	n	V A:170;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,74,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131_133,137,140,146,150,153,159,163,169,171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+38	n	E -:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,74,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131_133,137,140,146,150,153,159,163,169,171;K:170;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+39	n	V -:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,74,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131_133,137,140,146,150,153,159,163,169,171;L:170;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+40	n	V F:170;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,74,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131_133,137,140,146,150,153,159,163,169,171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+41	n	A P:170;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,74,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131_133,137,140,146,150,153,159,163,169,171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+75	n	R X:0;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,74,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131_133,137,140,146,150,153,159,163,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+107	n	A -:3_6,8,10_16,19,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,74,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131_133,137,140,146,150,153,159,163,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167;V:22
+110	n	Q E:22;-:3_6,8,10_16,19,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,74,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131_133,137,140,146,150,153,159,163,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+121	n	G X:0;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,74,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131_133,137,140,146,150,153,159,163,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+159	n	A X:51;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+160	n	G X:51;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+161	n	L X:51;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+162	n	I X:51;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+163	n	G X:51;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+164	n	N X:51;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+165	n	G X:61;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+166	n	G X:61;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+167	n	A X:42,61;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+168	n	G X:42,61;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+169	n	G X:42,61;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+170	n	A X:42,61;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+173	n	V I:147;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+179	n	K -:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167;N:1
+180	n	G R:0,46,51,61,81,91,93,94,99,101,103_109,130,148;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,76,80,83_90,95,96,98,100,102,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+235	n	G S:1;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+256	n	Q E:137;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+323	n	E -:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169,171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167;P:170
+325	n	L -:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169,171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167;V:170
+329	n	G R:170;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169,171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+344	n	E -:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167;X:9
+353	n	G X:9;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+402	n	A -:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167;V:166
+403	n	G X:91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+404	n	N X:91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+405	n	G X:61,64,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+406	n	G X:61,64,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+407	n	T X:61,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+408	n	G X:61,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+409	n	G X:61,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+410	n	A X:91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+415	n	G X:42;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+416	n	T X:42;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+434	n	I -:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;L:166;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+455	n	G X:21;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+456	n	G X:21;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+457	n	S X:21;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+458	n	A X:21;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+459	n	L X:21;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+460	n	G X:21;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+468	n	G X:36;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+469	n	G X:36;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+470	n	L X:36;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+471	n	G X:36;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+472	n	G X:36;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+473	n	H -:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167;X:36
+474	n	G X:36;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+475	n	G X:36;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+476	n	A X:36;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+477	n	G X:36;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+478	n	G X:36;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+479	n	L X:36;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+480	n	L X:36;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+481	n	I X:36;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+482	n	G X:36;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+483	n	N X:36;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+484	n	G X:36;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+485	n	G X:36;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+486	n	A X:36;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+487	n	G X:36;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+488	n	G X:36;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+489	n	A X:36;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+490	n	G X:36,51;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+491	n	G X:36,51;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+492	n	L X:36,51;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+493	n	G X:36,51;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+494	n	G X:36,51;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+495	n	A X:36,51,61;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+496	n	G X:42,51,61;-:3_6,8,10_16,19,22,26,29,33,35,36,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+497	n	G X:42,51,61,64;-:3_6,8,10_16,19,22,26,29,33,35,36,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+498	n	A X:42,51,61,64;-:3_6,8,10_16,19,22,26,29,33,35,36,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;G:172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+499	n	G A:172;X:36,42,51,61,64;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+500	n	G X:36,42,51,61,64,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167;V:172
+501	n	A E:37;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;R:172;X:36,42,51,61,64,91;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+502	n	G A:172;X:36,42,51,61,64,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+503	n	G X:42,51,61,64,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167;V:172
+504	n	E -:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;R:172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167;X:42,51,61,64,91
+505	n	G A:172;X:42,51,61,64,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,129,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+506	n	G X:42,51,61,64,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167;V:172
+507	n	A X:42,51,61,64,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167;P:172
+508	n	G A:172;X:42,51,61,64,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+509	n	G A:172;X:42,51,61,64,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+510	n	A X:42,51,61,64,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167;P:172
+511	n	G X:42,51,61,64,91;E:172;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+512	n	G A:172;X:42,51,61,64,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+513	n	E -:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,169_171;K:172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167;X:42,51,61,64,91
+514	n	A X:42,51,61,64,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,169_171;L:172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+515	n	I X:42,51,61,64,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167;F:172
+516	n	P -:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,169_171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167;X:42,51,61,64,91
+517	n	G X:42,51,61,64,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,169_172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+518	n	G X:42,51,61,64,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,166,169_172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+519	n	A X:42,51,61,64,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,166,169_172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+520	n	S X:42,51,61,64,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,166,169_172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+521	n	T X:42,51,61,64,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,166,169_172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+522	n	N X:42,51,61,64,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,98,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,166,169_172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+523	n	S X:42,51,61,64,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,166,169_172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+524	n	A X:42,51,61,64,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,166,169_172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+525	n	G X:42,51,61,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,166,169_172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+526	n	G X:42,51,61,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,166,169_172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+527	n	D X:42,51,61,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,166,169_172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+528	n	G X:42,51,61,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,166,169_172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+529	n	G X:42,51,61,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,166,169_172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+530	n	A X:42,51,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,166,169_172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+531	n	G X:42,51,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,166,169_172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+532	n	G X:42,51,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,166,169,171,172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+533	n	T X:42,51,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,166,169,171,172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+534	n	G X:42,51,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,166,169,171,172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+535	n	G X:42,51,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,100,112,115,116,118,120_122,125,131,132,137,140,146,150,153,159,166,169,171,172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+536	n	N X:42,51,91;M:131;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,100,112,115,116,118,120_122,125,132,137,140,146,150,153,159,166,169,171,172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+537	n	G A:131;X:42,51,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,100,112,115,116,118,120_122,125,132,137,140,146,150,153,159,166,169,171,172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+538	n	G X:42,51,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,100,112,115,116,118,120_122,125,132,137,140,146,150,153,159,166,169,171,172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167;V:131
+539	n	D X:24,42,51,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,100,112,115,116,118,120_122,125,132,137,140,146,150,153,159,166,169,171,172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167;T:131
+540	n	G X:24,42,51,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,100,112,115,116,118,120_122,125,132,137,140,146,150,153,159,166,169,171,172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+541	n	G X:24,42,51,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,100,112,115,116,118,120_122,125,132,137,140,146,150,153,159,166,169,171,172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+542	n	A X:24,42,51,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,100,112,115,116,118,120_122,125,132,137,140,146,150,153,159,166,169,171,172;G:148;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+543	n	G A:166,172;X:42,51,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,100,112,115,116,118,120_122,125,132,137,140,146,150,153,159,169,171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+544	n	G X:42,51,91;-:3_6,8,10_16,19,22,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,100,112,115,116,118,120_122,125,132,137,140,146,150,153,159,169,171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+545	n	A X:42,91;R:166,172;-:3_6,8,10_16,19,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,100,112,115,116,118,120_122,125,132,137,140,146,150,153,159,169,171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+546	n	P -:3_6,8,10_16,19,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,100,112,115,116,118,120_122,125,132,137,140,146,150,153,159,169,171;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167;X:42,91
+547	n	G A:22;-:3_6,8,10_16,19,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,100,112,115,116,118,120_122,125,132,137,140,146,150,152,153,159,169,171;P:166,172;X:42,91;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+548	n	L -:3_6,8,10_16,19,26,29,33,35,38,40,41,47_49,59,62,63,65,68,72,80,83_90,95,96,100,112,115,116,118,120_122,125,132,137,140,146,150,152,153,159,169,171;S:22;T:166,172;X:42,91;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
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+564	n	S X:50,91;-:26,33,40,47_49,72,83,84,87,96,100,112,116,122,146,152,153;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167;V:166,172
+565	n	T X:50,91;-:26,33,40,47_49,72,83,84,87,96,100,112,116,122,146,152,153;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
+566	n	G X:50,91;-:26,33,40,47_49,72,83,84,87,96,100,112,116,122,146,152,153,166,172;?:2,7,17,18,60,71,82,92,97,110,123,124,126_128,134,145,151,162,164,167
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+5	n	A -:0,1,5_7,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,127,128,132_135,147,151_153,162,167,169_171;G:166;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+7	n	A S:111;-:0,1,5_7,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,127,128,132_135,147,151_153,162,167,169_171;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+49	n	T -:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;W:1,6,7,127,128,151_153,169_171;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+50	n	N -:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145;V:1,6,7,127,128,151_153,169_171
+51	n	F -:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145;W:1,6,7,127,128,151_153,169_171
+53	n	G Q:1,6,7,127,128,151_153,169_171;-:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+54	n	I -:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;L:1,6,7,127,128,151_153,169_171;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+55	n	N -:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145;F:1,6,7,127,128,151_153,169_171
+56	n	T -:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145;V:1,6,7,127,128,151_153,169_171
+57	n	I -:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;D:1,6,7,127,128,151_153,169_171;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+58	n	P I:1,6,7,127,128,151_153,169_171;-:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+59	n	I -:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;L:1,6,7,127,128,151_153,169_171;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+60	n	A -:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145;G:1,6,7,127,128,151_153,169_171
+61	n	L -:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145;F:1,6,7,127,128,151_153,169_171
+63	n	E I:1,6,7,127,128,151_153,169_171;-:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+64	n	A I:1,6,7,127,128,151_153,169_171;-:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+65	n	D -:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;G:1,6,7,127,128,151_153,169_171;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+66	n	Y -:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145;F:1,6,7,127,128,151_153,169_171
+67	n	V I:1,6,7,127,128,151_153,169_171;-:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+68	n	R I:1,6,7,127,128,151_153,169_171;-:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+69	n	M -:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;T:1,6,7,127,128,151_153,169_171;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+70	n	W -:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;L:1,6,7,127,128,151_153,169_171;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+71	n	V A:1,6,7,127,128,151_153,169_171;-:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+72	n	Q S:1,6,7,127,128,151_153,169_171;-:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+73	n	A -:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145;N:1,6,7,127,128,151_153,169_171
+75	n	T Q:1,6,7,127,128,151_153,169_171;-:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+76	n	V A:126;-:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;L:1,6,7,127,128,151_153,169_171;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+77	n	M -:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;L:1,6,7,127,128,151_153,169_171;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+78	n	S -:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;T:1,6,7,127,128,151_153,169_171;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+79	n	A E:1,6,7,127,128,151_153,169_171;-:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+80	n	Y -:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145;F:1,6,7,127,128,151_153,169_171
+81	n	E A:1,6,7,127,128,151_153,169_171;-:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+82	n	A I:1,6,7,127,128,151_153,169_171;-:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+124	n	E -:0,1,5_7,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,127,128,132_135,147,151_153,162,167,169_171;G:139_144;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+146	n	S -:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145;N:1,6,7,127,128,151_153,169_171
+148	n	E S:1,6,7,127,128,151_153,169_171;-:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+149	n	A Y:1,6,7,127,128,151_153,169_171;-:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+150	n	W -:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145;V:1,6,7,127,128,151_153,169_171
+154	n	F -:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;L:1,6,7,127,128,151_153,169_171;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+155	n	V -:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;L:1,6,7,127,128,151_153,169_171;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+156	n	E Y:1,6,7,127,128,151_153,169_171;-:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+157	n	L A:1,6,7,127,128,151_153,169_171;-:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+159	n	T A:1,6,7,127,128,151_153,169_171;-:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+161	n	L -:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145;V:1,6,7,127,128,151_153,169_171
+162	n	V I:1,6,7,127,128,151_153,169_171;-:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+163	n	N -:0,5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_135,147,162,167;D:1,6,7,127,128,151_153,169_171;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+187	n	V I:123;-:0,1,5_7,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,127,128,132_135,147,151_153,162,167,169_171;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+189	n	V -:0,1,5_7,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,127,128,132_135,147,151_153,162,167,169_171;L:123;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+190	n	L -:0,1,5_7,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,127,128,132_135,147,151_153,162,167,169_171;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145;V:123
+191	n	V -:0,1,5_7,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,127,128,132_135,147,151_153,162,167,169_171;L:123;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+205	n	L I:1,6,7,127,128,151_153,169_171;-:5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_134,162;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+206	n	S -:5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_134,162;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145;V:1,6,7,127,128,151_153,169_171
+207	n	I -:5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_134,162;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145;V:1,6,7,127,128,151_153,169_171
+208	n	G -:5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_134,162;E:1,6,7,127,128,151_153,169_171;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+210	n	I -:5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_134,162;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145;V:1,6,7,127,128,151_153,169_171
+212	n	S -:5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_134,162;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145;G:1,6,7,127,128,151_153,169_171
+213	n	N X:0;-:5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_134,162;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+214	n	I X:0;-:5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_134,162;L:1,6,7,127,128,151_153,169_171;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+216	n	G X:0;-:5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_134,162;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+217	n	A -:5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,123,132_134,162;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145;V:1,6,7,127,128,151_153,169_171
+218	n	I F:123;-:5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,132_134,162;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145;V:1,6,7,127,128,151_153,169_171
+220	n	V F:123;-:5,9_16,22,36,42,45_58,60,61,63,64,66_76,87,91,93,94,100,110,112_116,118,132_134,162;L:1,6,7,127,128,151_153,169_171;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+221	n	L W:123;M:9_12;-:5,13_16,42,46_58,60,61,63,64,66_76,91,93,94,100,110,112_116,118,132_134;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+222	n	A P:9_12;-:5,13_16,42,46_58,60,61,63,64,66_76,91,93,94,100,110,112_116,118,132_134;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145;G:1,6_8,81,99,123,127,128,151_153,169_171
+224	n	P R:9_12;-:5,13_16,42,46_58,60,61,63,64,66_76,91,93,94,100,110,112_116,118,132_134;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+225	n	L -:5,13_16,46_58,60,61,63,64,66_76,91,93,94,100,110,112_116,118,132_134;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145;F:9_12
+229	n	L M:9_13;-:5,14_16,46_58,60,61,63,64,66_76,91,93,94,100,110,112_116,118,132_134;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+235	n	P -:5,14_16,46_58,60,61,63,64,66_76,91,93,94,100,110,112_116,118,126,134;G:8;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+236	n	G R:8;-:5,14_16,46_58,60,61,63,64,66_76,91,93,94,100,110,112_116,118,126,134;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+237	n	V C:8;-:5,14,15,46_52,54_57,60,61,63,64,67_70,72,74_76,91,93,94,100,110,112_116,118,126,134;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+238	n	A C:8;-:5,14,15,46_52,54_57,60,61,63,64,67_70,72,74_76,91,93,94,100,110,112_116,118,134;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145;V:1
+240	n	V G:126;-:5,14,15,46,91,93,94,100,110,112_116,118,134;L:0,2,6,7,9_13,22,59,65,77_79,81,99,103,105,123,127,128,130,132,133,148,151_153,169_171;S:8;R:1;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+241	n	T A:0,2,6,7,9_13,22,59,65,77_79,81,99,103,105,123,127,128,130,132,133,148,151_153,169_171;C:1;G:8;-:5,14,15,46,91,93,94,100,110,112_116,118,134;X:126;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+242	n	G C:1,8;-:5,14,15,46,91,93,94,100,110,112_116,118,134;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
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+244	n	A X:126;-:14,15,46,91,93,94,100,110,112_116,118;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+245	n	G -:14,15,46,91,93,94,100,110,112_116,118;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145;L:126
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+247	n	A X:126;-:14,15,46,91,93,94,100,110,112,113,115,116,118;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
+248	n	A X:126;-:14,15,46,91,93,94,100,110,112,113,115,116,118;?:3,4,17,18,80,82,92,98,117,119,125,129,131,136,137,145
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+-50	p	G A:110;?:0,2_4,6,17,18,22,26,36,83,85,87,89,98,111,125,127_129,131,132,135_137,147,151,152,162,167,169_171
+-49	p	G ?:0,2_4,6,17,18,22,26,36,83,85,87,89,98,111,125,127_129,131,132,135_137,147,151,152,162,167,169_171;T:110
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+-43	p	G A:110;?:0,2_4,6,17,18,22,26,36,83,85,87,89,98,111,125,127_129,131,132,135_137,147,151,152,162,167,169_171
+-42	p	T C:110;?:0,2_4,6,17,18,22,26,36,83,85,87,89,98,111,125,127_129,131,132,135_137,147,151,152,162,167,169_171
+-40	p	A G:110;?:0,2_4,6,17,18,22,26,36,83,85,87,89,98,111,125,127_129,131,132,135_137,147,151,152,162,167,169_171
+-39	p	C T:110;?:0,2_4,6,17,18,22,26,36,83,85,87,89,98,111,125,127_129,131,132,135_137,147,151,152,162,167,169_171
+-38	p	C T:110;?:0,2_4,6,17,18,22,26,36,83,85,87,89,98,111,125,127_129,131,132,135_137,147,151,152,162,167,169_171
+-36	p	G A:110;?:0,2_4,6,17,18,22,26,36,83,85,87,89,98,111,125,127_129,131,132,135_137,147,151,152,162,167,169_171
+-34	p	C A:110;?:0,2_4,6,17,18,22,26,36,83,85,87,89,98,111,125,127_129,131,132,135_137,147,151,152,162,167,169_171
+-32	p	T A:110;?:0,2_4,6,17,18,22,26,36,83,85,87,89,98,111,125,127_129,131,132,135_137,147,151,152,162,167,169_171
+-22	p	T G:110;?:0,2_4,6,17,18,22,26,36,83,85,87,89,98,111,125,127_129,131,132,135_137,147,151,152,162,167,169_171
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+>Rv3347c	272	PPE55	3753184	3743711	-
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+84	n	V E:87;-:1,2,14,16,25,33,45,47_49,59,61,63,71,72,80_83,88,89,95_98,100,110_112,123,125,126,128,129,131,135,146,153,166,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+110	n	V -:1,2,14,16,25,45,81,82,88,95_98,110,111,123,125,126,128,129,131,135,166,167;G:47,72,104;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+112	n	V A:83;-:1,2,14,16,25,45,81,82,88,95_98,110,111,123,125,126,128,129,131,135,166,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+115	n	M A:83;-:1,2,14,16,25,45,81,82,88,95_98,110,111,123,125,126,128,129,131,135,166,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+116	n	A R:83;-:1,2,14,16,25,45,81,82,88,95_98,110,111,123,125,126,128,129,131,135,166,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+117	n	M -:1,2,14,16,25,45,81,82,88,95_98,110,111,123,125,126,128,129,131,135,166,167;L:83;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+118	n	R -:1,2,14,16,25,45,81,82,88,95_98,110,111,123,125,126,128,129,131,135,166,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163;V:83
+122	n	M -:1,2,14,16,25,45,81,82,88,95_98,110,111,123,125,126,128,129,131,135,166,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163;V:10_13,83
+130	n	A -:1,2,14,16,25,45,81,82,88,95_98,110,111,123,125,126,128,129,131,135,166,167;T:83;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+131	n	A P:83;-:1,2,14,16,25,45,81,82,88,95_98,110,111,123,125,126,128,129,131,135,166,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+159	n	S -:1,2,14,16,25,45,81,82,88,95_98,110,111,123,125,126,128,129,131,135,166,167;L:80;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+215	n	I -:1,2,14,16,25,45,81,82,88,95_98,110,111,123,125,126,128,129,131,135,166,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163;V:112_114
+276	n	L -:1,2,14,16,25,45,81,82,88,95_98,110,111,123,125,126,128,129,131,135,166,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163;F:112_114
+643	n	L R:112_119;-:1,2,14,16,25,45,81,82,88,98,110,111,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+793	n	D -:1,2,14,45,81,82,88,98,110,111,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163;N:130
+794	n	F V:130;-:1,2,14,45,81,82,88,98,110,111,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+922	n	S -:1,2,14,45,81,82,88,98,110,111,123,125,126,128,129,131,167;G:130,135_146,148_162,164_166,168_172;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+923	n	F Y:130,135_146,148_162,164_166,168_172;-:1,2,14,45,81,82,88,98,110,111,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+930	n	G M:45;-:1,2,14,81,82,88,98,110,111,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+931	n	G A:45;-:1,2,14,81,82,88,98,110,111,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+992	n	N -:1,2,14,81,82,88,98,110,111,123,125,126,128,129,131,167;T:130,135_146,148_162,164_166,168_172;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+994	n	D -:1,2,14,81,82,88,98,110,111,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163;N:130,135_146,148_162,164_166,168_172
+998	n	L -:1,2,14,81,82,88,98,110,111,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163;F:130,135_146,148_162,164_166,168_172
+999	n	M I:135_146,148_162,164_166,168_172;-:1,2,14,81,82,88,98,110,111,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1000	n	S -:1,2,14,81,82,88,98,110,111,123,125,126,128,129,131,167;T:135_146,148_162,164_166,168_172;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1003	n	F -:1,2,14,81,82,88,98,110,111,123,125,126,128,129,131,167;D:130,135_146,148_162,164_166,168_172;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1190	n	P Q:98;-:1,2,14,81,82,88,110,111,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1220	n	R K:25;-:1,2,14,81,82,88,110,111,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1375	n	H -:1,2,14,81,82,88,110,111,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163;P:138
+1421	n	N -:1,2,14,81,82,88,110,111,123,125,126,128,129,131,167;T:87;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1438	n	G R:98;-:82,88,110,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1471	n	G -:82,88,110,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163;D:98
+1492	n	L P:166;-:82,88,110,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1496	n	N Y:95;-:82,88,110,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1517	n	T A:95;-:82,88,110,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1520	n	I -:82,88,110,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163;V:95
+1525	n	T S:86;-:82,88,110,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1538	n	Y -:82,88,110,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163;F:86
+1891	n	S M:167;-:82,88,110,123,125,126,128,129,131;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1892	n	G R:167;-:82,88,110,123,125,126,128,129,131;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1894	n	G A:167;-:82,88,110,123,125,126,128,129,131;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1895	n	G A:167;-:82,88,110,123,125,126,128,129,131;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1896	n	V -:82,88,110,123,125,126,128,129,131;T:167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1898	n	G A:167;-:82,88,110,123,125,126,128,129,131;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1908	n	G -:82,88,110,123,125,126,128,129,131,167;E:2;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1909	n	W -:82,88,110,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163;L:2
+1910	n	W -:82,88,110,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163;V:2
+1911	n	N -:82,88,110,123,125,126,128,129,131,167;E:2;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1912	n	Q P:2;-:82,88,110,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1913	n	A -:82,88,110,123,125,126,128,129,131,167;G:2;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1914	n	H A:2;-:82,88,110,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1915	n	A C:2;-:82,88,110,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1916	n	A R:2;-:82,88,110,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1917	n	L -:82,88,110,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163;V:2
+1918	n	A -:82,88,110,123,125,126,128,129,131,167;G:2;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1920	n	A R:2;-:82,88,110,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1922	n	S R:2;-:82,88,110,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1928	n	G C:95_97;-:82,88,110,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+1956	n	A -:82,88,110,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163;V:149,168
+1959	n	S P:12,13;-:82,88,110,123,125,126,128,129,131,167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2026	n	V -:82,126,167;G:169;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2075	n	A -:82,126;G:167;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2104	n	I -:82,126;L:1,125,128,129,131;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2106	n	L -:82,126;M:1;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2111	n	T A:1,125,128_131;-:82,126;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2114	n	I -:82,126;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163;V:1,81,125,128_131
+2119	n	S -:82,126;T:112_119;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2132	n	F Y:112_119;-:82,126;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2139	n	S -:82,126;G:86,90;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2151	n	G S:112_119;-:82,126;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2153	n	T -:82,126;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163;N:112_119
+2156	n	L -:82,126;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163;V:86,90
+2159	n	A P:86,90;-:82,126;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2161	n	S R:1;-:82,126;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2259	n	P L:99_101,103_110;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2441	n	P A:135;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2457	n	D ?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163;N:1,81,123,125,126,128_131
+2568	n	V L:1,81,125,126,128_131;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2734	n	S ?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163;N:145
+2800	n	A ?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163;V:112_119
+2811	n	I A:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2813	n	G A:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2814	n	N S:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2815	n	F Y:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2816	n	S G:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2817	n	N G:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2818	n	G A:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2820	n	L ?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163;T:98
+2822	n	R P:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2823	n	G A:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2824	n	N S:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2828	n	L P:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2829	n	A S:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2831	n	F T:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2832	n	S P:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2834	n	G R:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2835	n	Y C:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2836	n	P S:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2837	n	I P:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2838	n	P R:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2839	n	L W:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2840	n	F A:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2842	n	A T:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2843	n	V S:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2856	n	I S:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2857	n	I A:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2869	n	F -:98;L:14;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2870	n	A R:14;-:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2871	n	A R:14;-:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2879	n	S -:98;D:14;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2880	n	I R:14;-:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2882	n	N H:14;-:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2883	n	I R:14;-:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2895	n	T S:98;-:14;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2897	n	D R:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2898	n	V Q:14;-:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2899	n	G H:14;-:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2901	n	I S:98;E:14;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
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+2903	n	V S:98;R:14;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2904	n	D H:14;R:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2906	n	I S:98;L:14;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2907	n	T R:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163;D:14
+2908	n	L W:98;-:14;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2909	n	T A:98;-:14;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2910	n	I S:98;-:14;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2924	n	M -:14;S:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2925	n	T A:98;P:14;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2926	n	S P:14;T:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2927	n	G S:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2928	n	S H:14;G:98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2929	n	S R:14,98;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
+2931	n	G A:98;H:14;?:0,3_9,17,18,26,34_36,74,124,127,132_134,147,163
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+10	n	I -:2_6,9,12_14,16,27,32_34,38_41,44,45,47_49,51,54,59,65,67,71,72,75,76,86,88,89,91,92,96_98,100,112,115,116,118,121,122,128,131_134,136,145,149,150,153,162,167;?:1,83,110,125;V:15
+11	n	W -:2_6,9,12_14,16,27,32_34,38_41,44,45,47_49,51,54,59,65,67,71,72,75,76,86,88,89,91,92,96_98,100,112,115,116,118,121,122,128,131_134,136,145,149,150,153,162,167;?:1,83,110,125;T:15
+12	n	C -:2_6,9,12_14,16,27,32_34,38_41,44,45,47_49,51,54,59,65,67,71,72,75,76,86,88,89,91,92,96_98,100,112,115,116,118,121,122,128,131_134,136,145,149,150,153,162,167;D:15;?:1,83,110,125
+13	n	M -:2_6,9,14,16,33,47_49,71,72,75,86,88,89,92,96,97,100,112,115,116,122,128,131_134,136,145,153,162,167;G:15;?:1,83,110,125
+16	n	P Q:15;-:2_6,9,14,16,33,47_49,71,72,75,86,88,89,92,96,97,100,112,115,116,122,128,131_134,136,145,153,162,167;?:1,83,110,125
+17	n	A -:2_6,9,14,16,33,47_49,71,72,75,86,88,89,92,96,97,100,112,115,116,122,128,131_134,136,145,153,162,167;G:15;?:1,83,110,125
+19	n	A -:2_6,9,14,16,33,47_49,71,72,75,86,88,89,92,96,97,100,112,116,122,128,131_134,136,145,153,162,167;T:15;?:1,83,110,125;L:115
+22	n	A R:15;-:2_6,9,14,16,33,47_49,71,72,75,86,88,89,92,96,97,100,112,115,116,122,128,131_134,136,145,153,162,167;?:1,83,110,125
+23	n	A -:2_6,9,14,16,33,47_49,71,72,75,86,88,89,92,96,97,100,112,115,116,122,128,131_134,136,145,153,162,167;?:1,83,110,125;V:15
+24	n	A C:15;-:2_6,9,14,16,33,47_49,71,72,75,86,88,89,92,96,97,100,112,115,116,122,128,131_134,136,145,153,162,167;?:1,83,110,125
+26	n	L Y:15;-:2_6,9,14,16,33,47_49,71,72,75,86,88,89,92,96,97,100,112,115,116,122,128,131_134,136,145,153,162,167;?:1,83,110,125
+27	n	S E:15;-:2_6,9,14,16,33,47_49,71,72,75,86,88,89,92,96,97,100,112,115,116,122,128,131_134,136,145,153,162,167;?:1,83,110,125
+28	n	A I:15;-:2_6,9,14,16,33,47_49,71,72,75,86,88,89,92,96,97,100,112,115,116,122,128,131_134,136,145,153,162,167;?:1,83,110,125
+30	n	A P:15;-:2_6,9,14,16,33,47_49,71,72,75,86,88,89,92,96,97,100,112,115,116,122,128,131_134,136,145,153,162,167;?:1,83,110,125
+31	n	P A:15;-:2_6,9,14,16,33,47_49,71,72,75,86,88,89,92,96,97,100,112,115,116,122,128,131_134,136,145,153,162,167;?:1,83,110,125
+32	n	V -:2_6,9,14,16,33,47_49,71,72,75,86,88,89,92,96,97,100,112,115,116,122,128,131_134,136,145,153,162,167;L:15;?:1,83,110,125
+33	n	A R:15;-:2_6,9,14,16,33,47_49,71,72,75,86,88,89,92,96,97,100,112,115,116,122,128,131_134,136,145,153,162,167;?:1,83,110,125
+34	n	V -:2_6,9,14,16,33,47_49,71,72,75,86,88,89,92,96,97,100,112,116,122,128,131_134,136,145,153,162,167;T:15;?:1,83,110,125
+35	n	T P:15;K:115;-:2_6,9,14,16,33,47_49,71,72,75,86,88,89,92,96,97,100,112,116,122,128,131_134,136,145,153,162,167;?:1,83,110,125
+36	n	L G:15;P:115;-:2_6,14,16,33,47_49,71,72,75,86,88,89,92,96,97,100,112,116,122,128,131_134,145,153,162,167;?:1,83,110,125
+37	n	A G:115;-:2_6,14,16,33,47_49,71,72,75,86,88,89,92,96,97,100,112,116,122,128,131_134,145,153,162,167;L:15;?:1,83,110,125
+38	n	N D:115;-:2_6,14,16,33,47_49,71,72,75,86,88,89,92,96,97,100,112,116,122,128,131_134,145,153,162,167;G:15;?:1,83,110,125
+39	n	R -:2_6,14,16,33,47_49,71,72,75,86,88,89,92,96,97,100,112,116,122,128,131_134,145,153,162,167;G:15;?:1,83,110,125
+40	n	V S:15;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,115,116,122,128,131,134,153,162,167;?:1,83,110,125
+41	n	I -:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,115,116,122,128,131,134,153,162,167;?:1,83,110,125;V:15
+42	n	A -:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,134,153,162,167;G:15;?:1,83,110,125
+44	n	S Y:115;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,134,153,162,167;G:15;?:1,83,110,125
+45	n	A C:15;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,134,153,162,167;G:115;?:1,83,110,125
+46	n	T R:15,115;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,134,153,162,167;?:1,83,110,125
+47	n	A S:15;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,134,153,162,167;?:1,83,110,125
+48	n	R -:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,134,153,162,167;G:115;?:1,83,110,125
+49	n	A -:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,134,153,162,167;G:115;?:1,83,110,125
+50	n	A R:115;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,134,153,162,167;G:15;?:1,83,110,125
+51	n	G -:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,134,153,162,167;?:1,83,110,125;D:15
+52	n	V A:115;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;L:15;?:1,83,110,125
+53	n	R P:115;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125;V:15
+54	n	R Y:15;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125
+57	n	R A:15;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125
+59	n	R -:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;G:15;?:1,83,110,125
+60	n	E -:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;R:15;?:1,83,110,125
+61	n	A -:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;G:15;?:1,83,110,125
+62	n	A S:115;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;G:15;?:1,83,110,125
+63	n	A R:15;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;G:115;?:1,83,110,125
+64	n	R -:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;G:115;?:1,83,110,125
+65	n	C -:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;G:15;?:1,83,110,125;V:115
+67	n	Q R:15;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125
+68	n	L P:115;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125
+69	n	F V:115;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;L:15;?:1,83,110,125
+70	n	I Y:115;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;G:15;?:1,83,110,125
+71	n	A S:115;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;D:15;?:1,83,110,125
+72	n	T R:15;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125;D:115
+73	n	A C:115;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125
+74	n	D G:15;P:115;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125
+75	n	A -:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;G:15;?:1,83,110,125;T:115
+76	n	D P:115;R:15;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125
+77	n	R -:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;G:15;?:1,83,110,125;T:115
+78	n	D A:15,115;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125
+79	n	A P:15;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;T:115;?:1,83,110,125
+80	n	R P:115;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125
+81	n	L G:115;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125;V:15
+82	n	F A:15;S:115;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125
+83	n	E -:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;S:15;K:115;?:1,83,110,125
+85	n	V -:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;G:15;?:1,83,110,125
+86	n	I -:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;G:15;?:1,83,110,125
+87	n	A -:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;G:15;?:1,83,110,125
+90	n	D S:15;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125
+91	n	D A:15;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125
+92	n	L -:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125;T:15
+96	n	A R:15;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125
+97	n	E -:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125;P:15
+98	n	L A:15;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125
+101	n	P R:15;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125
+103	n	L R:15;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125
+104	n	L R:15;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125
+105	n	V A:15;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125
+106	n	L A:15;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125
+107	n	P A:15;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125
+108	n	V A:15;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125
+110	n	G A:15;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125
+112	n	A -:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;G:15;?:1,83,110,125
+113	n	R P:15;-:2_6,14,16,33,47_49,71,72,86,88,89,92,96,97,100,112,116,122,128,131,153,162,167;?:1,83,110,125
+124	n	R -:2,33,47_49,71,72,88,92,97,100,112,116,122,128,131,153,167;?:1,83,110,125;V:22
+149	n	F N:167;-:2,33,47_49,71,72,88,92,97,100,112,116,122,128,131,153;?:1,83,110,125
+150	n	A -:2,33,47_49,71,72,88,92,97,100,112,116,122,128,131,153;G:167;?:1,83,110,125
+227	n	R A:18;-:2,33,47_49,71,72,92,97,100,112,116,122,131,153;?:1,83,110,125
+228	n	G A:18;-:2,33,47_49,71,72,92,97,100,112,116,122,131,153;?:1,83,110,125
+229	n	E -:2,33,47_49,71,72,92,97,100,112,116,122,131,153;?:1,83,110,125;N:18
+298	n	R Q:38,42;-:48,100,153;?:1,83,110,125
+351	n	E K:91,93,94;?:1,83,110,125
+382	n	P S:8;?:1,83,110,125
+383	n	E G:8;?:1,83,110,125
+384	n	A G:8;?:1,83,110,125
+385	n	V A:8;?:1,83,110,125
+386	n	R G:8;?:1,83,110,125
+387	n	V A:8;?:1,83,110,125
+388	n	P G:8;?:1,83,110,125
+389	n	V A:8;?:1,83,110,125
+390	n	L I:8;?:1,83,110,125
+391	n	S R:8;?:1,83,110,125
+392	n	G R:8;?:1,83,110,125
+393	n	G ?:1,83,110,125;T:8
+394	n	H R:8;?:1,83,110,125
+395	n	G P:8;?:1,83,110,125
+396	n	P G:8;?:1,83,110,125
+397	n	A R:8;?:1,83,110,125
+398	n	E ?:1,83,110,125;N:8
+417	n	D ?:1,83,110,125;T:2
+419	n	G ?:1,83,110,125;V:2
+420	n	Q S:2;?:1,83,110,125
+421	n	P R:2;?:1,83,110,125
+422	n	W G:2;?:1,83,110,125
+424	n	G A:2;?:1,83,110,125
+425	n	R G:2;?:1,83,110,125
+427	n	P S:2;?:1,83,110,125
+428	n	D R:2;?:1,83,110,125
+429	n	P L:131;?:1,83,110,125;H:2
+430	n	S ?:1,83,110,125;V:2
+459	n	A G:166;?:1,83,110,125
+460	n	D G:166;?:1,83,110,125
+462	n	A G:166;?:1,83,110,125
+463	n	R A:166;?:1,83,110,125
+464	n	L A:166;?:1,83,110,125
+477	n	A E:166;?:1,83,110,125
+479	n	P S:166;?:1,83,110,125
+482	n	D R:166;?:1,83,110,125
+483	n	D R:166;?:1,83,110,125
+484	n	E S:166;?:1,83,110,125
+485	n	R A:166;?:1,83,110,125
+486	n	W A:166;?:1,83,110,125
+487	n	W ?:1,83,110,125;L:166
+488	n	D ?:1,83,110,125;V:166
+489	n	P G:166;?:1,83,110,125
+490	n	D R:166;?:1,83,110,125
+491	n	R T:166;?:1,83,110,125
+492	n	A ?:1,83,110,125;V:166
+493	n	S A:166;?:1,83,110,125;V:2
+494	n	G A:2;?:1,83,110,125
+495	n	R A:2;X:0;?:1,83,110,125
+496	n	T X:0;R:166;?:1,83,110,125;P:2
+497	n	A R:0,2;?:1,83,110,125
+498	n	R P:2;S:0;?:1,83,110,125
+499	n	A R:2;?:1,83,110,125
+500	n	Q C:2;R:0,166;?:1,83,110,125
+501	n	V S:0,166;C:2;?:1,83,110,125
+502	n	L C:2;?:1,83,110,125;G:0,166
+503	n	L I:0,166;A:2;?:1,83,110,125
+504	n	D A:0,166;T:2;?:1,83,110,125
+506	n	D X:0;S:2,166;?:1,83,110,125
+507	n	P X:0;G:2,166;?:1,83,110,125
+509	n	T X:0;K:166;G:2;?:1,83,110,125
+510	n	A I:2;X:0;L:166;?:1,83,110,125
+511	n	L R:0,166;W:2;?:1,83,110,125
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+-49	p	T G:44,78,79;?:0,3,4,6,98,133
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+5	n	L -:0,1,22,71,132;?:3,4,6,97,98,110,126,129,138,167;V:164
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+30	n	R A:164;-:0,1,71,132;?:3,4,6,97,98,110,126,129,138,167
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+32	n	L A:164;R:22;-:0,1,71,132;?:3,4,6,97,98,110,126,129,138,167
+33	n	P S:22;-:0,1,71,132;D:164;?:3,4,6,97,98,110,126,129,138,167
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+35	n	R S:22;-:0,1,71,132;G:164;?:3,4,6,97,98,110,126,129,138,167
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+37	n	P S:22;-:0,1,71,132;?:3,4,6,97,98,110,126,129,138,167
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+39	n	V A:164;C:22;-:0,71,132;S:1;?:3,4,6,97,98,110,126,129,138,167
+40	n	S A:1;C:22;G:164;-:0,71,132;?:3,4,6,97,98,110,126,129,138,167
+41	n	P S:22;-:0,71,132;D:164;?:3,4,6,97,98,110,126,129,138,167
+42	n	W R:22;-:0,71,132;?:3,4,6,97,98,110,126,129,138,167;L:164
+43	n	Q A:164;R:22;-:0,71,132;?:3,4,6,97,98,110,126,129,138,167
+44	n	I R:22;-:0,71,132;G:164;?:3,4,6,97,98,110,126,129,138,167
+45	n	L P:22;-:0,71,132;?:3,4,6,97,98,110,126,129,138,167
+46	n	V P:22;-:0,71,132;G:164;?:3,4,6,97,98,110,126,129,138,167
+47	n	S A:164;-:0,71,132;G:22;?:3,4,6,97,98,110,126,129,138,167
+48	n	E A:164;C:22;-:0,71,132;?:3,4,6,97,98,110,126,129,138,167
+49	n	F V:164;-:0,71,132;W:22;?:3,4,6,97,98,110,126,129,138,167
+50	n	M -:71,132,164;R:22;?:3,4,6,97,98,110,126,129,138,167
+51	n	L S:22;-:71,132,164;?:3,4,6,97,98,110,126,129,138,167
+52	n	Q -:71,132,164;G:22;?:3,4,6,97,98,110,126,129,138,167
+53	n	Q R:22;-:71,132,164;?:3,4,6,97,98,110,126,129,138,167
+55	n	P -:71,132,164;G:22;?:3,4,6,97,98,110,126,129,138,167
+56	n	A C:22;-:71,132,164;?:3,4,6,97,98,110,126,129,138,167
+57	n	A -:71,132,164;G:22;?:3,4,6,97,98,110,126,129,138,167
+65	n	D G:22;-:71,132,164;?:3,4,6,97,98,110,126,129,138,167
+66	n	W G:22;-:71,132,164;?:3,4,6,97,98,110,126,129,138,167
+67	n	V P:22;-:71,132,164;?:3,4,6,97,98,110,126,129,138,167
+70	n	W R:22;-:71,132,164;?:3,4,6,97,98,110,126,129,138,167
+71	n	P A:164;-:71,132;?:3,4,6,97,98,110,126,129,138,167
+72	n	T -:71,132;?:3,4,6,97,98,110,126,129,138,167;L:22
+74	n	S R:22;-:71,132;?:3,4,6,97,98,110,126,129,138,167
+75	n	A P:22;-:71,132;?:3,4,6,97,98,110,126,129,138,167
+76	n	T -:71,132;?:3,4,6,97,98,110,126,129,138,167;V:22
+77	n	A P:22;-:71,132;?:3,4,6,97,98,110,126,129,138,167
+78	n	T P:22;-:71,132;?:3,4,6,97,98,110,126,129,138,167
+79	n	A -:71,132;M:22;?:3,4,6,97,98,110,126,129,138,167
+80	n	S -:71,132;C:22;?:3,4,6,97,98,110,126,129,138,167
+81	n	T Y:22;-:71,132;?:3,4,6,97,98,110,126,129,138,167
+83	n	D P:22;-:71,132;?:3,4,6,97,98,110,126,129,138,167
+84	n	V -:71;G:22;?:3,4,6,97,98,110,126,129,138,167
+85	n	L A:22;-:71;?:3,4,6,97,98,110,126,129,138,167
+86	n	R S:22;-:71;?:3,4,6,97,98,110,126,129,138,167
+87	n	A C:22;-:71;?:3,4,6,97,98,110,126,129,138,167
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+106	n	V R:2;-:71;?:3,4,6,97,98,110,126,129,138,167
+107	n	I H:2;-:71;?:3,4,6,97,98,110,126,129,138,167
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+132	n	T P:166;-:71;?:3,4,6,97,98,110,126,129,138,167
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+165	n	D -:71;?:3,4,6,97,98,110,126,129,138,167;T:2
+166	n	A P:2;-:71;?:3,4,6,97,98,110,126,129,138,167
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+169	n	P R:2;-:71;?:3,4,6,97,98,110,126,129,138,167
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+186	n	E A:137;?:3,4,6,97,98,110,126,129,138,167
+237	n	A D:124;?:3,4,6,97,98,110,126,129,138,167
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+>Rv3590c	2168:1	PE_PGRS58	4033158	4031404	-
+26	n	N I:2;-:1,7,10_14,16,18,19,21,24,26,31,34,39_43,49,51,60,63_65,67,69,76,80,82_87,89,90,102,111,114,115,121_124,126_129,131_134,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+140	n	G A:8,35,36;-:1,7,10_14,16,18,19,21,24,26,31,34,39_43,49,51,60,63_65,67,69,76,80,82_87,89,90,102,111,114,115,121_124,126_129,131_134,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+203	n	A X:62;-:1,7,10_14,16,18,19,21,24,26,31,34,39_43,49,51,60,63_65,67,69,76,80,82_87,89,90,102,111,114,115,121_124,126_129,131_134,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+204	n	G X:62;-:1,7,10_14,16,18,19,21,24,26,31,34,39_43,49,51,60,63_65,67,69,76,80,82_87,89,90,102,111,114,115,121_124,126_129,131_134,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+205	n	G X:62;-:1,7,10_14,16,18,19,21,24,26,31,34,39_43,49,51,60,63_65,67,69,76,80,82_87,89,90,102,111,114,115,121_124,126_129,131_134,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+206	n	F X:62;-:1,7,10_14,16,18,19,21,24,26,31,34,39_43,49,51,60,63_65,67,69,76,80,82_87,89,90,102,111,114,115,121_124,126_129,131_134,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+209	n	V -:1,7,10,11,14,16,18,19,21,24,26,31,34,39_41,43,49,51,60,64,65,67,69,80,82_87,89,90,102,111,114,115,121_124,126_128,131_134,140,151_153,159,163,171;L:129;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+222	n	A X:35;-:1,7,10,11,14,16,18,19,21,24,26,31,34,39_41,43,49,51,60,64,65,67,69,80,82_87,89,90,102,111,114,115,121_124,126_128,131_134,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+223	n	A X:35;-:1,7,10,11,14,16,18,19,21,24,26,31,34,39_41,43,49,51,60,64,65,67,69,80,82_87,89,90,102,111,114,115,121_124,126_128,131_134,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+224	n	G X:35;-:1,7,10,11,14,16,18,19,21,24,26,31,34,39_41,43,49,51,60,64,65,67,69,80,82_87,89,90,102,111,114,115,121_124,126_128,131_134,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+225	n	A X:35;-:1,7,10,11,14,16,18,19,21,24,26,31,34,39_41,43,49,51,60,64,65,67,69,80,82_87,89,90,102,111,114,115,121_124,126_128,131_134,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+226	n	F X:35;-:1,7,10,11,14,16,18,19,21,24,26,31,34,39_41,43,49,51,60,64,65,67,69,80,82_87,89,90,102,111,114,115,121_124,126_128,131_134,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+228	n	N R:2;-:1,7,10,11,14,16,18,19,21,24,26,31,34,39_41,43,49,51,60,64,65,67,69,80,82_87,89,90,102,111,114,115,121_124,126_128,131_134,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+231	n	V A:2;-:1,7,10,11,14,16,18,19,24,26,31,34,40,41,43,49,60,64,65,67,69,80,82_87,89,90,102,111,114,115,122_124,126,127,131_134,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+232	n	G -:1,7,10,11,14,16,18,19,24,26,31,34,40,41,43,49,60,64,65,67,69,80,82_87,89,90,102,111,114,115,122,123,126,127,131_134,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;V:124
+233	n	G S:124;-:1,7,10,11,14,16,18,19,24,26,31,34,40,41,43,49,60,64,65,67,69,80,82_87,89,90,102,111,114,115,122,123,126,127,131_134,140,151_153,159,163,171;L:2;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+234	n	A R:124;-:1,7,10,11,14,16,19,24,26,31,34,40,41,43,49,60,64,65,67,69,80,82_87,89,90,102,111,114,115,122,123,126,127,131_134,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+235	n	G R:124;-:1,7,10,11,14,16,19,24,26,31,34,40,41,43,49,60,64,65,67,69,80,82_87,89,90,102,111,114,115,122,123,126,127,131_134,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+237	n	A P:124;-:1,7,10,11,14,16,19,24,26,31,34,40,41,43,49,60,64,65,67,69,80,82_87,89,90,102,111,114,115,122,123,126,127,131_134,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+238	n	A P:124;-:1,7,10,11,14,16,19,24,26,31,34,40,41,43,49,60,64,65,67,69,80,82_87,89,90,102,111,114,115,122,123,126,127,131_134,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+239	n	V F:124;-:1,7,10,11,14,16,19,24,26,31,34,40,41,43,49,60,64,65,67,69,80,82_87,89,90,102,111,114,115,122,123,126,127,131_134,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+241	n	G R:124;-:1,7,10,11,14,16,19,24,26,31,34,40,41,43,49,60,64,65,67,69,80,82_87,89,90,102,111,114,115,122,123,126,127,131_134,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+243	n	L -:1,7,10,14,16,19,26,40,41,43,49,64,67,80,82_87,89,90,102,111,115,122,123,126,127,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;V:124,136,164
+244	n	P A:124,136;-:1,7,10,14,16,19,26,40,41,43,49,64,67,80,82_87,89,90,102,111,115,122,123,126,127,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+245	n	G P:124;-:1,7,10,14,16,19,26,40,41,43,49,64,67,80,82_87,89,90,102,111,115,122,123,126,127,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+246	n	N Q:124;-:1,7,10,14,16,19,26,40,41,43,49,64,67,80,82_87,89,90,102,111,115,122,123,126,127,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+247	n	G W:124;-:1,7,10,14,16,19,26,40,41,43,49,64,67,80,82_87,89,90,102,111,115,122,123,126,127,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+249	n	A S:124;-:1,7,10,14,16,19,26,40,41,43,49,64,67,80,82_87,89,90,102,111,115,122,123,126,127,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+251	n	G R:124;-:1,7,10,14,16,19,26,40,41,43,49,64,67,80,82_87,89,90,102,111,115,122,123,126,127,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+252	n	N H:124;-:1,7,10,14,16,19,26,40,41,43,49,64,67,80,82_87,89,90,102,111,115,122,123,126,127,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+266	n	G R:124;-:1,7,10,14,16,19,26,40,41,43,49,64,67,80,82_87,89,90,102,111,115,122,123,126,127,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+279	n	P S:2;-:1,7,10,14,16,19,40,41,43,49,80,82_87,89,90,111,115,122,123,126,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+283	n	S -:1,7,10,14,16,19,40,41,43,49,80,82_87,89,90,111,115,122,123,126,131_133,140,151_153,159,163,171;T:2;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+284	n	Q R:2;-:1,7,10,14,16,19,40,41,43,49,80,82_87,89,90,111,115,122,123,126,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+285	n	A P:2;-:1,7,10,14,16,19,40,41,43,49,80,82_87,89,90,111,115,122,123,126,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+287	n	N R:2;-:1,7,10,14,16,19,40,41,43,49,80,82_87,89,90,111,115,122,123,126,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+288	n	G R:2;-:1,7,10,14,16,19,40,41,43,49,80,82_87,89,90,111,115,122,123,126,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+289	n	S Q:2;-:1,7,10,14,16,19,40,41,43,49,80,82_87,89,90,111,115,122,123,126,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+290	n	P -:1,7,10,14,16,19,40,41,43,49,80,82_87,89,90,111,115,122,123,126,131_133,140,151_153,159,163,171;T:2;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+291	n	G E:2;-:1,7,10,14,16,19,40,41,43,49,80,82_87,89,90,111,115,122,123,126,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+293	n	N P:2;-:1,7,10,14,16,19,40,41,43,49,80,82_87,89,90,111,115,122,123,126,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+294	n	N A:2;-:1,7,10,14,16,19,40,41,43,49,80,82_87,89,90,111,115,122,123,126,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+295	n	G P:2;-:1,7,10,14,16,19,40,41,43,49,80,82_87,89,90,111,115,122,123,126,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+296	n	A -:1,7,10,14,16,19,40,41,43,49,80,82_87,89,90,111,115,122,123,126,131_133,140,151_153,159,163,171;T:2;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+297	n	G -:1,7,10,14,16,19,40,41,43,49,80,82_87,89,90,111,115,122,123,126,131_133,140,151_153,159,163,171;T:2;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+298	n	S A:2;-:1,7,10,14,16,19,40,41,43,49,80,82_87,89,90,111,115,122,123,126,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+299	n	G P:2;-:1,7,10,14,16,19,40,41,43,49,80,82_87,89,90,111,115,122,123,126,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+300	n	G -:1,7,10,14,16,19,40,41,43,49,80,82_87,89,90,111,115,122,123,126,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;V:2
+302	n	G -:1,7,10,14,16,19,40,41,43,49,80,82_87,89,90,111,115,122,123,126,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;V:2
+303	n	L A:2;-:1,7,10,14,16,19,40,41,43,49,80,82_87,89,90,111,115,122,123,126,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+304	n	P Q:2;-:1,7,10,14,16,19,40,41,43,49,80,82_87,89,90,111,115,122,123,126,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+306	n	N C:2;-:1,7,10,14,16,19,40,41,43,49,80,82_87,89,90,111,115,122,123,126,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+308	n	G A:2;-:1,7,10,14,16,19,40,41,43,49,80,82_87,89,90,111,115,122,123,126,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+309	n	A -:1,7,10,14,16,19,40,41,43,49,80,82_87,89,90,111,115,122,123,126,131_133,140,151_153,159,163,171;T:2;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+310	n	V C:2;-:1,7,10,14,16,19,40,41,43,49,80,82_87,89,90,111,115,122,123,126,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+311	n	P A:2;-:1,7,10,14,16,19,40,41,43,49,80,82_87,89,90,111,115,122,123,126,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+314	n	A -:1,7,10,14,16,19,40,41,43,49,80,82_87,89,90,111,115,122,123,126,131_133,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;V:139,141_144,147_150,154_158,160_162,164_166,168_170,172
+344	n	G -:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;V:131
+346	n	G A:131;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+348	n	P S:131;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+349	n	G A:131;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+351	n	N -:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,132,140,151_153,159,163,171;T:131;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+354	n	P S:131;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+357	n	I A:131;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+433	n	F X:42;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+434	n	G X:42;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+435	n	S X:42;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+436	n	G X:42;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+442	n	G A:117;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+444	n	A -:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;L:117;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+447	n	N P:117;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+449	n	A P:117;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+450	n	G P:117;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+451	n	T A:117;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+452	n	G P:117;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+455	n	G S:117;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+456	n	G A:117;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+457	n	V X:64;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+458	n	G X:64;S:117;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+459	n	G X:64;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+460	n	A X:64;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;V:117
+461	n	G X:64;R:117;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+462	n	G A:117;X:64;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+463	n	Q X:59,64;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;V:117
+464	n	G X:59,64;R:117;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+465	n	G A:117;X:59,64;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+466	n	L G:117;X:59;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+467	n	L X:34,59;C:117;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+468	n	F X:34,59;C:117;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+469	n	G X:34,59;S:117;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+470	n	D A:117;X:34,59;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+471	n	G X:34,59;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;T:117
+472	n	G A:117;X:34;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+473	n	N X:34;V:117;-:7,10,14,16,19,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+474	n	G X:34;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,169,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;T:117
+475	n	G X:34,35;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+476	n	A X:35;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+477	n	G X:35,51;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;P:117,169
+478	n	G A:117,169;X:35,51;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+479	n	A X:51;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;V:35,117,169
+480	n	G P:35,117,169;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;X:51
+481	n	G A:35,117,169;X:51;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+482	n	I A:35,117,169;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;X:51
+483	n	G S:35,117,169;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+484	n	G A:35,117,169;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+485	n	T A:35,117,169;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;L:2
+486	n	G R:35,117,169;-:2,7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+487	n	A Q:2;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;V:35,117,169
+488	n	S P:35,117,169;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;L:2;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+489	n	G R:35,117,169;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+490	n	G A:35,117,169;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,131,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+492	n	G S:35,117,169;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+493	n	G A:35,117,169;X:62;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+494	n	K X:62;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;V:35,117,169
+495	n	G X:62;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;T:35,117,169
+496	n	G A:35,117,169;X:62;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+497	n	S A:35,117,169;X:62;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+498	n	G X:62;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;T:35,117,169
+499	n	L X:62;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;V:35,117,169
+500	n	V X:62,63;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+501	n	G P:35,117,169;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;X:62,63
+502	n	G A:35,117,169;X:62,63;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+503	n	D A:35,169;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,132,140,151_153,159,163,171;V:117;X:62,63;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+504	n	G P:35,117,169;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;X:62,63
+505	n	G A:35,117,169;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+506	n	N A:35,117,169;-:7,10,14,16,18,19,36,40,41,43,49,80,83_87,89,90,111,115,122,123,126,132,140,151_153,159,163,171;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+507	n	G -:7,14,41,43,49,80,83,85_87,89,90,122,132,140,153,159;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;T:35,117,169
+508	n	G A:35,117,169;-:14,41,43,49,80,83,85_87,89,122,132,140,153,159;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+509	n	A -:14,41,43,49,80,83,85,86,89,122,132,140,153,159;D:7;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+510	n	G A:7;R:35,117,169;-:14,41,43,49,80,83,85,86,89,122,132,140,153,159;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+511	n	G A:35,117,169;X:7;-:14,41,43,49,80,83,85,86,89,122,127,132,140,153,159;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+512	n	A -:14,41,43,49,80,83,85,86,89,122,127,132,140,153,159;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;V:35,117,169
+513	n	G P:35,117,169;-:14,41,43,49,85,86,89,122,140,153;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+514	n	G E:35,117,169;-:14,41,43,49,85,86,89,122,140,153;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+515	n	N A:128;I:18,36;-:14,41,43,49,85,86,89,122,140,153;V:35,117,169;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+516	n	G P:35,117,169;-:14,41,43,49,85,86,89,122,140,153;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+517	n	G A:35,117,169;-:14,41,43,49,85,86,89,122,140,153;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+518	n	K A:128;E:35,117,169;-:14,41,43,49,85,86,89,122,140,153;T:18,36;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+519	n	G -:14,41,43,49,85,86,89,122,140,153;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;V:35,117,169
+520	n	G A:18,36;P:35,117,169;-:14,41,43,86,89,153;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+521	n	A E:35,117,169;S:18,36;-:14,41,43,89,153;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+522	n	G X:128;C:35,117,169;-:14,41,43,89,153;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+523	n	G X:128;S:35,117,169;-:14,41,43,89,153;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+524	n	A X:128;-:14,41,43,89,153;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+525	n	G X:128;S:35,117,169;-:14,41,43,89,153;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+526	n	G Q:35,117,169;X:128;-:14,18,36,41,43,89,153;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+527	n	G X:128;-:14,18,36,41,43,89,153;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;V:35,117,169
+528	n	A X:128;S:35,117,169;-:14,18,36,41,43,89,153;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+529	n	G X:128;-:14,18,36,41,43,89,153;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;T:35,117,169
+530	n	M X:128;-:18,36;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;V:35,117,169
+531	n	F X:128;R:35,117,169;-:18,36;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+532	n	S A:35,117,169;X:128;-:18,36;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
+533	n	Q X:128;-:18,36;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167;V:35,117,169
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+535	n	G X:128;-:18,36;?:3_6,15,17,22,29,33,47,48,50,61,71,72,88,91,92,95_98,100,110,112,116,125,137,138,145,146,167
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+-2	p	G A:1;?:0,6,48,81,130,131,163
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+429	n	R -:1,2,11,27_30,32,35,41,42,44,45,47_49,52_58,61,63,64,66,68_70,72_75,82,92,93,97,100,112_114,116_118,120,125,128,133,136,137,149,150,153,164,165;L:110;?:0,166
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+-45	p	G ?:0,15,92,98,100,123,125,131,147,170;T:135,136
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+20	n	I X:0;?:125
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+13	n	Q S:8;-:3,4,11_13,27_34,37_39,41_45,47,48,50_67,69_72,74_76,82,91,93,98,102,112_114,117,118,120_122,132_134,136,149,150
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+-41	p	T C:164
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+>VBIMycTub299822_0443	9160	x
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+46	n	A T:97;?:0,2,6,26,49,80,88,96,151,153
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+-46	p	G Y:0;?:151
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+>VBIMycTub299822_0638	724	x
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+85	n	- X:0;D:6,8_10,14_16,18_25,46,51,61,64,77_79,81,92,95_97,99_101,103_111,115,119,123_127,130,137_148,154_162,164_172;?:5,7,82,90,117,128,129,132,134,135,151_153
+97	n	- X:0;C:6,8_10,14_16,18_25,46,51,61,64,77_79,81,92,95_97,99_101,103_111,115,119,123_127,130,137_148,154_162,164_172;?:5,7,82,90,117,128,129,132,134,135,151_153
+132	n	R P:124;-:2_4,11,12,17,26_36,38_42,44,47_50,52_57,60,62,63,65,67_72,74_76,80,83_89,91,93,102,113,114,116,118,120_122,131,133,150;?:5,7,82,90,117,128,129,132,134,135,151_153
+148	n	R X:0;-:2_4,11,12,17,26_36,38_42,44,47_50,52_57,60,62,63,65,67_72,74_76,80,83_89,91,93,102,113,114,116,118,120_122,131,133,150;?:5,7,82,90,117,128,129,132,134,135,151_153
+149	n	D X:0;-:2_4,11,12,17,26_36,38_42,44,47_50,52_57,60,62,63,65,67_72,74_76,80,83_89,91,93,102,113,114,116,118,120_122,131,133,150;?:5,7,82,90,117,128,129,132,134,135,151_153
+151	n	Y X:0;-:2_4,11,12,17,26_36,38_42,44,47_50,52_57,60,62,63,65,67_72,74_76,80,83_89,91,93,102,113,114,116,118,120_122,131,133,150;?:5,7,82,90,117,128,129,132,134,135,151_153
+155	n	S X:0;-:2_4,11,12,17,26_36,38_42,44,47_50,52_57,60,62,63,65,67_72,74_76,80,83_89,91,93,102,113,114,116,118,120_122,131,133,150;?:5,7,82,90,117,128,129,132,134,135,151_153
+188	n	C E:125,127;?:5,7,82,90,117,128,129,132,134,135,151_153
+189	n	R P:125,127;?:5,7,82,90,117,128,129,132,134,135,151_153
+191	n	L R:125,127;?:5,7,82,90,117,128,129,132,134,135,151_153
+>VBIMycTub299822_0830	5983	x
+1	n	L -:0,2_4,13,34,42,51,55,60,62,64,98,120,122,126,137,148;?:26;V:1,8,12,14_16,27_33,35,37_41,43_45,47_50,53,54,56_59,61,63,65_67,69_79,81,91,93,94,99_110,112_114,116,118,121,130,149,150
+15	n	A -:0,2_4,13,34,42,51,55,60,62,64,98,120,122,126,137,148;T:131;?:26
+24	n	K E:95_97;-:0,2_4,13,34,42,51,55,60,62,64,98,120,122,126,137,148;?:26
+34	n	Q E:135,136,138_147,149_172;-:0,2_4,13,34,42,51,55,60,62,64,98,120,122,126,137,148;?:26
+36	n	H -:0,2_4,13,34,42,51,55,60,62,64,98,120,122,126,137,148;D:82;?:26
+56	n	Q P:153;-:0,2_4,13,34,42,51,55,60,62,64,98,120,122,126,137,148;?:26
+64	n	A E:135,136;-:0,2_4,13,34,42,51,55,60,62,64,98,120,122,126,137,148;?:26
+98	n	Q H:146_172;?:26
+>VBIMycTub299822_0834	4481	x
+>VBIMycTub299822_0835	11022	x
+>VBIMycTub299822_0884	4483	x
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+169	n	G -:1,3,4,6,8,11_13,26_35,37_45,47_76,91,93,94,98,102,112_114,116_118,120_122,132_134,149,150;?:36;V:17_25,46,77_80
+286	n	L P:86;-:1,3,4,6,8,11_13,26_35,37_45,47_76,91,93,94,98,102,112_114,116_118,120_122,132_134,149,150;?:36
+>VBIMycTub299822_0936	1110	x
+-45	p	G A:164;?:0,3,4,10,98
+63	n	A ?:0;V:12,13
+>VBIMycTub299822_0939	10610	x
+-21	p	G ?:0,147;T:3,4
+>VBIMycTub299822_0978	5548	x
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+99	n	Y H:36;?:0,125,152
+211	n	P L:2;?:0,125,152
+>VBIMycTub299822_0999	2143	x
+18	n	G S:111;-:11;?:2
+49	n	A G:128;?:2
+50	n	S C:128;?:2
+52	n	N X:0;S:128;?:2
+53	n	A X:0;Q:128;?:2
+54	n	A R:128;?:2
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+57	n	S K:128;?:2
+58	n	A G:128;?:2
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+63	n	A ?:2;V:128
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+67	n	W I:128;?:2
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+69	n	A X:0;?:2
+70	n	R Q:128;?:2
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+72	n	A ?:2;F:128
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+74	n	N D:128;?:2
+75	n	G H:128;?:2
+76	n	F L:128;?:2
+78	n	T X:0;R:128;?:2
+79	n	T P:128;?:2
+80	n	S A:128;?:2
+82	n	D ?:2;V:128
+83	n	P G:128;?:2
+85	n	Q P:128;?:2
+86	n	S ?:2;F:128
+87	n	V L:128;?:2
+88	n	Y ?:2;V:128
+89	n	H ?:2;P:128
+90	n	S G:128;?:2
+>VBIMycTub299822_1026	5248	x
+>VBIMycTub299822_1079	1599	x
+9	n	N -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110_114,116_118,120_122,131,137,146,149,150,153;D:123;?:22,132_134
+40	n	S -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;T:125;?:22,132_134
+41	n	S -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;K:125;?:22,132_134
+42	n	R -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134;F:125
+43	n	S -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;G:125;?:22,132_134
+44	n	A R:125;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+45	n	A -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;L:125;?:22,132_134
+46	n	S -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;G:125;?:22,132_134
+47	n	T H:125;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+48	n	S H:125;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+49	n	P R:125;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+50	n	I S:125;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+51	n	R -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;G:125;?:22,132_134
+52	n	S P:125;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+53	n	S A:125;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+54	n	A R:125;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+55	n	T P:125;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+56	n	A -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;T:125;?:22,132_134
+58	n	S X:91;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+59	n	Q X:91;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+60	n	R X:91;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+61	n	T X:91;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+62	n	A X:91;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+63	n	T X:91;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+64	n	R X:91;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+82	n	A -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134;G:8
+83	n	A R:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+85	n	P A:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+86	n	E -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134;G:8
+90	n	T -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134;V:8
+91	n	V -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134;G:8
+92	n	S A:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+93	n	A H:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+94	n	T R:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+95	n	S -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;L:8;?:22,132_134
+96	n	S -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;C:8;?:22,132_134
+97	n	S H:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+98	n	A Q:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+99	n	S Q:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+100	n	S -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;L:8;?:22,132_134
+102	n	S Q:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+103	n	A Q:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+104	n	S R:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+105	n	A -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134;V:8
+106	n	A -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134;G:8
+107	n	P Q:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+108	n	M R:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+109	n	S R:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+111	n	S -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134;N:8
+112	n	R -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134;V:8
+113	n	S A:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+114	n	T E:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+115	n	N Q:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+116	n	E I:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+117	n	S -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;D:8;?:22,132_134
+118	n	E Q:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+119	n	P R:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+121	n	S -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134;G:8
+122	n	V A:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+123	n	A -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134;G:8
+124	n	V F:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+125	n	S R:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+126	n	A R:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+127	n	A -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134;G:8
+128	n	V -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;L:8;?:22,132_134
+129	n	A -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134;G:8
+130	n	S -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134;G:8
+131	n	T C:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+132	n	S -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134;G:8
+133	n	R E:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+134	n	G A:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+135	n	N H:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+136	n	S P:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+137	n	S A:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+139	n	S R:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+140	n	V -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;L:8;?:22,132_134
+141	n	A -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;L:8;?:22,132_134
+142	n	S R:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+143	n	S A:8;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+144	n	S -:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134;G:8
+321	n	P Q:135,136;-:0,2_4,11_13,18,26_35,37_45,47_70,72_76,89,93,94,97,98,100,102,110,111,113,114,116_118,120_122,131,137,146,149,150,153;?:22,132_134
+330	n	- M:8,17,19_21,23_25,36,46,71,77_79;?:22,132_134;V:1,5_7,9,10,14_16,80_88,90_92,95,96,99,101,103_109,112,115,119,123_130,135,136,138_145,147,148,151,152,154_172
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+>VBIMycTub299822_1085	1378	x
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+18	n	P X:0;-:3,4,10_13,20,27_35,37_45,47_76,82,91,93,94,98,102,112_114,116_118,120_122,132,136,149,150
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+42	n	C X:0;-:3,4,10_13,20,27_35,37_45,47_76,82,91,93,94,98,102,112_114,116_118,120_122,132,136,149,150
+48	n	E X:0
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+4	n	V -:53,58,112,114;?:25_33;G:0
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+>VBIMycTub299822_1120	11028	x
+-41	p	T C:0;?:132,134
+-30	p	C ?:132,134;G:0
+-29	p	G R:0;?:132,134
+>VBIMycTub299822_1147	7367	x
+37	n	R C:139_144;-:1,8,11_19,21,22,24,27,29,31,32,34,35,39_44,51,53,60,61,64,66,68,73,76,82_90,93,94,98,100,102,110,113,114,120_125,128_132,136,137,145,147,149,150,167;?:3,4
+39	n	A -:1,8,11_19,21,22,24,27,29,31,32,34,35,39_44,51,53,60,61,64,66,68,73,76,82_90,93,94,98,100,102,110,113,114,120_125,128_132,136,137,145,147,149,150,167;?:3,4;V:6
+85	n	R S:122;?:3,4
+>VBIMycTub299822_1155	8999	x
+>VBIMycTub299822_1173	1698	x
+-50	p	T G:132;?:0,9,10,28,30,48,53,57,66,82,98,110
+-49	p	G ?:0,9,10,28,30,48,53,57,66,82,98,110;T:132
+-44	p	A C:132;?:0,9,10,28,30,48,53,57,66,82,98,110
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+-38	p	A G:132;?:0,9,10,28,30,48,53,57,66,82,98,110
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+-26	p	T C:132;?:0,9,10,28,30,48,53,57,66,82,98,110
+-21	p	G C:132;?:0,9,10,28,30,48,53,57,66,82,98,110
+-15	p	G A:132;?:0,9,10,28,30,48,53,57,66,82,98,110
+>VBIMycTub299822_1234	7290	x
+-50	p	G C:17;-:26;?:147
+-48	p	G A:17;-:26;?:147
+-47	p	C -:26;T:17;?:147
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+-46	p	T A:31;?:6,8,34,81,119,123,128,130,131
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+-24	p	G A:1,5_7,81,125_131;?:0
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+147	n	L S:5,83;-:3,4,11_13,27_35,37_45,47_76,82,91,93,94,98,102,112_114,116,117,120_122,132,134,149,150;?:137
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+167	n	L S:5,83;?:137
+169	n	L P:5,83;?:137
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+>VBIMycTub299822_1496	5616	x
+11	n	R X:0;-:1,8,14_19,21,22,24,43,53,58,59,83_90,100,110,114,123_125,128_131,145,147,167;?:2,137
+13	n	R X:0;-:1,8,14_19,21,22,24,43,53,58,59,83_90,100,110,114,123_125,128_131,145,147,167;?:2,137
+38	n	A X:0;?:2,137
+>VBIMycTub299822_1502	1190	x
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+>VBIMycTub299822_1562	5385	x
+>VBIMycTub299822_1570	3258	x
+>VBIMycTub299822_1678	8977	x
+75	n	Q R:1,5_7,125,127,129,131;-:2_4,11,12,27_35,37_45,47,49_51,54_57,59_61,63_65,67_72,74,76,91,93,98,102,112,113,116_118,120_122,126,128,132_134,150;?:163,167
+107	n	D G:131;?:163,167
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+>VBIMycTub299822_1714	5223	x
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+-48	p	C T:111;?:45,135
+>VBIMycTub299822_1767	2134	x
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+>VBIMycTub299822_1776	10576	x
+-44	p	G A:34;?:0
+>VBIMycTub299822_1777	4946	x
+>VBIMycTub299822_1818	5394:1	x
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+228	n	T I:146_150,154_172;-:0,2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,82,90,91,93,94,98,102,110,112_114,116_118,120,122,128,132_136;?:137,145
+299	n	G S:14;-:0,2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,82,90,91,93,94,98,102,110,112_114,116_118,120,122,128,132_136;?:137,145
+359	n	D X:0;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+361	n	A X:0;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
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+418	n	S -:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145;N:1
+450	n	A X:0;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+529	n	E -:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;D:123;?:137,145
+543	n	V X:0;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+545	n	Q X:0;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+644	n	V X:0;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+700	n	T X:0;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+701	n	H X:0;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+703	n	A X:0;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+704	n	K X:0;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+706	n	D X:0;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+707	n	V X:0;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+708	n	G X:0;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+709	n	A X:0;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+716	n	D X:0;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+721	n	D X:0;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+722	n	V X:0;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+724	n	R X:0;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+825	n	H R:1,5_7,125_129,131;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+856	n	G X:71;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+857	n	R X:71;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145;P:128
+858	n	L X:71;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145;P:128
+859	n	L A:128;X:71;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+860	n	G X:71;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+861	n	L X:71,72;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,128,132,135,136;?:137,145
+862	n	R X:71;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,128,132,135,136;?:137,145
+865	n	R P:128;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+867	n	Q P:128;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+869	n	A P:128;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+877	n	R -:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;T:128;?:137,145
+878	n	H S:128;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+879	n	R P:128;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+880	n	R -:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;D:128;?:137,145
+882	n	R -:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145;G:128
+884	n	A P:128;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+885	n	Q -:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;L:128;?:137,145
+887	n	R A:128;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+888	n	G S:128;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+889	n	T P:128;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+890	n	C -:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;S:128;?:137,145
+891	n	Q -:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;T:128;?:137,145
+892	n	P R:128;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+893	n	R -:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145;V:128
+894	n	R Q:128;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+896	n	R E:128;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+897	n	R E:128;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+898	n	K -:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145;N:128
+899	n	R K:128;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+900	n	G A:128;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+901	n	R A:128;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+902	n	G -:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145;V:128
+903	n	R E:128;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+904	n	T S:128;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+905	n	Q K:128;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+948	n	G A:0;-:2,8,11,26_34,42,48,51,52,57,59,62,67_69,74,91,93,94,98,102,110,112_114,116_118,120,122,132,135,136;?:137,145
+996	n	A X:0;?:137,145
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+>VBIMycTub299822_1858	7072	x
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+>VBIMycTub299822_1872	1145	x
+>VBIMycTub299822_1878	1298	x
+>VBIMycTub299822_1900	2732	x
+>VBIMycTub299822_1906	10587	x
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+>VBIMycTub299822_1937	3076	x
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+-30	p	T W:0
+-28	p	G R:0
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+-27	p	C G:12,13;?:0
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+14	n	R -:3,4,11_13,27_35,37_45,47_72,74_76,82,91,93,94,98,102,112_114,116_118,120_122,132_134,149,150;T:5,7,126_129;?:6,125
+17	n	T -:3,4,11_13,27_35,37_42,44,45,47_52,54_57,60_72,74_76,82,91,93,102,113,116_118,120_122,132,134,149,150;L:0;?:6,125
+18	n	T Y:0;-:3,4,11_13,27_35,37_42,44,45,47_52,54_57,60_72,74_76,82,91,93,102,113,116_118,120_122,132,134,149,150;?:6,125
+19	n	T H:0;-:3,4,11_13,27_35,37_42,44,45,47_52,54_57,60_72,74_76,82,91,93,102,113,116_118,120_122,132,134,149,150;?:6,125
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+24	n	Y R:0;-:3,4,11_13,27_35,37_42,44,45,47_52,54_57,60_72,74_76,82,91,93,102,113,116_118,120_122,132,134,149,150;?:6,125
+25	n	Y I:0;-:3,4,11_13,27_35,37_42,44,45,47_52,54_57,60_72,74_76,82,91,93,102,113,116_118,120_122,132,134,149,150;?:6,125
+26	n	V L:0;?:6,125
+27	n	A R:0;?:6,125
+28	n	P ?:6,125;G:0
+30	n	A H:0;?:6,125
+31	n	D C:0;?:6,125
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+35	n	P A:0;?:6,125
+36	n	K A:0;?:6,125
+37	n	S T:0;?:6,125
+38	n	R K:0;?:6,125
+39	n	S ?:6,125;V:0
+40	n	P T:0;?:6,125
+42	n	L X:0;?:6,125
+43	n	A ?:6,125;G:0
+45	n	N T:0;?:6,125
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+58	n	F X:0;?:6,125
+>VBIMycTub299822_2131	9152	x
+-26	p	A C:2,134;?:3,4,11,17,28,31,40,47,49,51,56,59,61,63,64,67,70_72,74_76,93,112,113,116,118,120,122,132,133
+1	n	M -:3,4,11,28,31,40,47,49,51,56,59,61,63,64,67,70_72,74_76,93,112,113,116,118,120,122,132,133;G:17
+2	n	G R:17;-:3,4,11,28,31,40,47,49,51,56,59,61,63,64,67,70_72,74_76,93,112,113,116,118,120,122,132,133
+75	n	R X:0
+80	n	D X:0
+>VBIMycTub299822_2142	3105	x
+22	n	R X:0;-:3,4,11_13,27_35,37_45,47_76,82,91,93,94,98,102,112_114,116_118,120_122,132_134,136,149,150
+>VBIMycTub299822_2153	8070	x
+>VBIMycTub299822_2163	5566	x
+80	n	S R:2;?:0
+97	n	A ?:0;V:81
+>VBIMycTub299822_2203	4647	x
+>VBIMycTub299822_2206	933	x
+>VBIMycTub299822_2213	8265	x
+>VBIMycTub299822_2221	4376	x
+14	n	R -:29,34,35,41,45,50,55,62_65,75,76,82,134;L:169;?:0_2,8,14_16,77_79,99_110,124_126,131,148
+22	n	V A:135;-:29,34,35,41,45,50,55,62_65,75,76,82,134;?:0_2,8,14_16,77_79,99_110,124_126,131,148
+>VBIMycTub299822_2243	2420	x
+7	n	V I:1,5_7,125_130;-:3,4,11_13,28_33,35,37_45,47_60,62_66,68_76,82,91,93,94,98,102,112_114,116_118,120_122,132_134,136,149,150;?:0,2,22,131
+>VBIMycTub299822_2301	2887	x
+38	n	S -:0,3,4,11,28,30,31,33,39,42,47,49,52,53,55_58,62,66_68,71_73,75,94,98,102,112,116_118,122,133,134,136,137,149;L:25;?:22,151,170
+>VBIMycTub299822_2305	8513	x
+>VBIMycTub299822_2307	5437	x
+>VBIMycTub299822_2311	8551	x
+-49	p	G ?:1,151;T:115
+>VBIMycTub299822_2321	6896	x
+9	n	Q -:47_76;E:6;?:0,2,5,151,167
+50	n	G A:134;?:0,2,5,151,167
+>VBIMycTub299822_2368	2158	x
+55	n	R P:131;?:3,4,47,80,123,124,132_134,171
+56	n	R A:131;?:3,4,47,80,123,124,132_134,171
+>VBIMycTub299822_2373	1866	x
+>VBIMycTub299822_2409	1149	x
+>VBIMycTub299822_2425	11285	x
+-24	p	G A:137;?:0,5,7,8,153
+>VBIMycTub299822_2431	4393	x
+26	n	R T:126;?:5_7,81,123_125,127_129,131
+37	n	R S:95_98;?:5_7,81,123_125,127_129,131
+43	n	S ?:5_7,81,123_125,127_129,131;N:116
+>VBIMycTub299822_2452	1021	x
+236	n	L -:0,3,4,11_13,27_35,37_45,47_76,82,91,93,94,98,102,112_114,116_118,120_122,128,133,134,136,149,150,164,166;?:1,8,123;F:148
+290	n	W R:86,90;?:1,8,123
+327	n	R X:0;?:1,8,123
+334	n	R X:0;?:1,8,123;H:115,116,118
+341	n	G X:0;?:1,8,123
+343	n	G X:0;?:1,8,123
+>VBIMycTub299822_2502	2806	x
+1	n	V M:14_16,28,30,37,53,100,110,112,123,128,129,133;-:13,27,29,31_35,38_41,43_45,47,49_51,54_57,59_61,63_67,70_73,75,76,91,93,98,102,113,114,118,120_122,132,134,136,149,150;?:74
+16	n	A S:111;-:13,29,31,32,34,35,38_41,43,45,47,50,51,54_57,59_61,63_67,71_73,75,76,93,98,102,113,114,118,120_122,136,149,150;?:74
+19	n	F X:0;-:13,29,31,32,34,35,38_41,43,45,47,50,51,54_57,59_61,63_67,71_73,75,76,93,98,102,113,114,118,120_122,136,149,150;?:74
+34	n	G X:0;?:74
+36	n	G A:145;?:74
+37	n	Q R:145;?:74
+38	n	V W:145;?:74
+39	n	A R:145;?:74
+40	n	R G:145;?:74
+41	n	T R:145;?:74
+42	n	H T:145;?:74
+43	n	V S:145;?:74
+44	n	D M:145;?:74
+45	n	V W:145;?:74
+47	n	M C:145;?:74
+48	n	S P:145;?:74
+51	n	L S:145;?:74
+52	n	R H:145;?:74
+54	n	R S:145;?:74
+55	n	R S:145;?:74
+56	n	F W:145;?:74
+57	n	S C:145;?:74
+58	n	R P:145;?:74
+59	n	I R:145;?:74
+60	n	V R:145;?:74
+61	n	V C:145;?:74
+62	n	V A:145;?:74
+>VBIMycTub299822_2536	9044	x
+-28	p	T C:87;?:0,1,18,163
+-24	p	C T:82;?:0,1,18,163
+124	n	R C:112_119;?:0,1,18,163
+209	n	A ?:0,1,18,163;V:111
+368	n	I M:2;?:0,1,18,163
+369	n	V R:2;?:0,1,18,163
+370	n	D L:2;?:0,1,18,163
+373	n	P R:2;?:0,1,18,163
+453	n	P S:148,167,169,170;?:0,1,18,163
+>VBIMycTub299822_2564	9147	x
+-46	p	G C:133;-:135,136;?:0,132
+-43	p	A -:135,136;G:133;?:0,132
+-41	p	A C:133;-:135,136;?:0,132
+-40	p	G A:133;-:135,136;?:0,132
+-38	p	T C:133;-:135,136;?:0,132
+-36	p	G -:136;?:0,132;T:133
+-35	p	A -:136;G:133;?:0,132
+-34	p	G A:133;-:136;?:0,132
+-32	p	T C:133;-:136;?:0,132
+-31	p	T G:133;-:136;?:0,132
+-30	p	G -:136;?:0,132;T:133
+-28	p	C A:133;-:136;?:0,132
+-27	p	C -:136;T:133;?:0,132
+-26	p	G A:133;-:136;?:0,132
+-25	p	C -:136;G:133;?:0,132
+-23	p	G C:133;-:136;?:0,132
+>VBIMycTub299822_2685	7719	x
+-38	p	G C:123;?:124
+-21	p	C T:118;?:124
+>VBIMycTub299822_2694	4328	x
+>VBIMycTub299822_2702	5430	x
+160	n	L Y:71;-:0,8,90,129,131
+161	n	Q -:0,8,90,129,131;L:71
+172	n	A P:71;-:0,8,90,129,131
+173	n	A R:71;-:0,8,90,129,131
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+177	n	V G:71
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+>VBIMycTub299822_2706	9890	x
+35	n	S ?:0,6,81,130,131,148;F:8
+37	n	G ?:0,6,81,130,131,148;V:8
+38	n	A G:8;?:0,6,81,130,131,148
+42	n	A ?:0,6,81,130,131,148;V:8
+43	n	V T:8;?:0,6,81,130,131,148
+44	n	I T:8;?:0,6,81,130,131,148
+>VBIMycTub299822_2707	9909	x
+>VBIMycTub299822_2758	10289	x
+>VBIMycTub299822_2771	7787	x
+>VBIMycTub299822_2793	8974	x
+-28	p	G A:9,10;C:2;?:124
+-26	p	G A:2;?:124
+-25	p	C ?:124;G:2
+-23	p	T G:2;?:124
+>VBIMycTub299822_2804	3266	x
+6	n	P -:1,2,5,6,21,26,33,63,64,71,72,82,83,85,88_90,97,100,112,116,124,129,131,135,146,148,164,167;?:3,4,18,47,48,77,80,84,92,111,123,125,127,132_134,138,153,162,163;X:7
+8	n	C -:1,2,6,21,26,33,63,64,71,72,82,83,85,90,97,112,116,124,129,131,135,146,148,164,167;?:3,4,18,47,48,77,80,84,92,111,123,125,127,132_134,138,153,162,163;V:5,88,89,100
+9	n	S -:1,2,6,21,26,33,63,64,71,72,82,83,85,90,97,112,116,124,129,131,135,146,148,164,167;?:3,4,18,47,48,77,80,84,92,111,123,125,127,132_134,138,153,162,163;F:5,88,89,100
+10	n	A -:1,2,6,21,26,33,63,64,71,72,82,83,97,112,116,124,129,131,135,146,148,164;G:5,88,89,100;?:3,4,18,47,48,77,80,84,92,111,123,125,127,132_134,138,153,162,163
+11	n	T -:1,2,6,21,26,33,63,64,71,72,82,83,97,112,116,124,131,135,146,148,164;?:3,4,18,47,48,77,80,84,92,111,123,125,127,132_134,138,153,162,163;N:5,88,89,100
+12	n	A -:1,2,6,21,26,33,63,64,71,72,82,83,97,112,116,124,131,135,146,148,164;G:5,88,89,100;?:3,4,18,47,48,77,80,84,92,111,123,125,127,132_134,138,153,162,163
+13	n	V -:6,21,26,33,82,83,97,124,135,146,164;G:5,19,88,89,100;?:3,4,18,47,48,77,80,84,92,111,123,125,127,132_134,138,153,162,163
+14	n	T -:6,21,26,33,82,83,97,124,135,146,164;?:3,4,18,47,48,77,80,84,92,111,123,125,127,132_134,138,153,162,163;D:5,88,89,100
+16	n	V -:6,21,26,33,82,83,97,135,146,164;G:5,88,100,166;?:3,4,18,47,48,77,80,84,92,111,123,125,127,132_134,138,153,162,163
+17	n	A P:124;C:88;-:6,21,26,33,82,83,97,135,146,164;?:3,4,18,47,48,77,80,84,92,111,123,125,127,132_134,138,153,162,163
+18	n	G R:88;-:6,21,26,33,82,83,97,135,146,164;?:3,4,18,47,48,77,80,84,92,111,123,125,127,132_134,138,153,162,163
+19	n	G R:88;-:6,21,26,33,82,83,97,135,146,164;?:3,4,18,47,48,77,80,84,92,111,123,125,127,132_134,138,153,162,163
+20	n	F V:11,68,88;-:6,21,26,33,82,83,97,135,146,164;?:3,4,18,47,48,77,80,84,92,111,123,125,127,132_134,138,153,162,163
+58	n	T A:12,13;?:3,4,18,47,48,77,80,84,92,111,123,125,127,132_134,138,153,162,163
+65	n	E X:0;?:3,4,18,47,48,77,80,84,92,111,123,125,127,132_134,138,153,162,163
+72	n	P M:12,13;?:3,4,18,47,48,77,80,84,92,111,123,125,127,132_134,138,153,162,163
+>VBIMycTub299822_2825	6621	x
+3	n	V X:9;?:2
+39	n	P S:115;?:2
+>VBIMycTub299822_2861	3144	x
+14	n	V A:8,17_26,28_33,35_37,39,41,43_48,54,55,57,64,67_70,74_80,121,122;-:11,13,27,34,38,40,42,49_53,56,58_63,65,66,71_73,82,94,120,132_134,149;?:128
+>VBIMycTub299822_2878	222	x
+28	n	V A:82
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+>VBIMycTub299822_2914	351	x
+30	n	P -:1,2,6_8,10,13_16,18,26_28,30,32,33,35_37,40,45_48,50_52,56,59,61,67,71,72,74,80,82_92,95_97,100,110,112,115_117,122,125,127,128,132_138,145,146,150,153,163,167;?:22,124;X:126
+186	n	P X:0;-:1,2,6_8,10,13_16,18,26_28,30,32,33,35_37,40,45_48,50_52,56,59,61,67,71,72,74,80,82_92,95_97,100,110,112,115_117,122,125,127,128,132_138,145,146,150,153,163,167;?:22,124
+193	n	E X:0;-:1,2,6_8,10,13_16,18,26_28,30,32,33,35_37,40,45_48,50_52,56,59,61,67,71,72,74,80,82_92,95_97,100,110,112,115_117,122,125,127,128,132_138,145,146,150,153,163,167;?:22,124
+195	n	A X:0;-:1,2,6_8,10,13_16,18,26_28,30,32,33,35_37,40,45_48,50_52,56,59,61,67,71,72,74,80,82_92,95_97,100,110,112,115_117,122,125,127,128,132_138,145,146,150,153,163,167;?:22,124
+>VBIMycTub299822_2926	8520	x
+-43	p	C T:139_144;?:1,3,4,22,66
+-10	p	G S:0;?:1,3,4,22,66
+21	n	V X:0;-:66;?:1,3,4,22
+25	n	S X:0;-:66;?:1,3,4,22
+40	n	T X:0;-:66;?:1,3,4,22
+41	n	P X:0;-:66;?:1,3,4,22
+>VBIMycTub299822_2981	8421	x
+115	n	D X:0;-:1_4,6,8,11_13,27_35,37_45,47_76,82,91,93,94,98,102,111_114,116_118,120_123,132_134,136,149,150;?:125,128
+124	n	T X:0;-:1_4,6,8,11_13,27_35,37_45,47_76,82,91,93,94,98,102,111_114,116_118,120_123,132_134,136,149,150;?:125,128
+131	n	- A:99_101,103_110;T:0,5,7,9,10,14_26,36,46,77_81,83_90,92,95_97,115,119,124,126,127,129_131,135,137_148,151_172;?:125,128
+216	n	N X:0;-:1_4,6,8,11_13,27_35,37_45,47_76,82,91,93,94,98,102,111_114,116_118,120_123,132_134,136,149,150;?:125,128
+231	n	C X:0;-:1_4,6,8,11_13,27_35,37_45,47_76,82,91,93,94,98,102,111_114,116_118,120_123,132_134,136,149,150;?:125,128
+235	n	V X:0;-:1_4,6,8,11_13,27_35,37_45,47_76,82,91,93,94,98,102,111_114,116_118,120_123,132_134,136,149,150;?:125,128
+236	n	G X:0;-:1_4,6,8,11_13,27_35,37_45,47_76,82,91,93,94,98,102,111_114,116_118,120_123,132_134,136,149,150;?:125,128
+347	n	V X:0;-:1_4,6,8,11_13,27_35,37_45,47_76,82,91,93,94,98,102,111_114,116_118,120_123,132_134,136,149,150;?:125,128
+408	n	D X:0;-:1_4,6,8,11_13,27_35,37_45,47_76,82,91,93,94,98,102,111_114,116_118,120_123,132_134,136,149,150;?:125,128
+471	n	P X:0;-:1_4,6,8,11_13,27_35,37_45,47_76,82,91,93,94,98,102,111_114,116_118,120_123,132_134,136,149,150;?:125,128
+552	n	T A:0;?:125,128
+553	n	A S:0;?:125,128
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+>VBIMycTub299822_2991	3150	x
+-40	p	G A:19_24,43_46,49_76,78,79;?:47,48,115,137,163
+-34	p	G S:0;?:47,48,115,137,163
+>VBIMycTub299822_2995	3887	x
+32	n	G A:124;-:2_4,8,11_13,27_35,37_45,49_76,82,91,93,94,98,102,112_114,116_118,120_122,133,134,136,149,150,164,166;?:1
+47	n	T X:0;-:2_4,8,11_13,27_35,37_45,49_76,82,91,93,94,98,102,112_114,116_118,120_122,133,134,136,149,150,164,166;?:1
+48	n	P X:0;-:2_4,8,11_13,27_35,37_45,49_76,82,91,93,94,98,102,112_114,116_118,120_122,133,134,136,149,150,164,166;?:1
+119	n	G S:132;-:2_4,8,11_13,27_35,37_45,49_76,82,91,93,94,98,102,112_114,116_118,120_122,133,134,136,149,150,164,166;?:1
+176	n	G X:0;-:2_4,8,11_13,27_35,37_45,49_76,82,91,93,94,98,102,112_114,116_118,120_122,133,134,136,149,150,164,166;?:1
+177	n	G X:0;-:2_4,8,11_13,27_35,37_45,49_76,82,91,93,94,98,102,112_114,116_118,120_122,133,134,136,149,150,164,166;?:1
+278	n	D A:148;-:2,8,11_13,27_35,37_45,49_76,82,91,93,94,98,102,112_114,116_118,120_122,133,134,136,149,150,164,166;?:1
+292	n	V M:136;-:11,13,27,31,39,116,149;?:1
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+-35	p	G C:111;?:5,7
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+-31	p	T ?:0,81,148;N:129
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+-39	p	C T:34;?:0,128,130
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+-33	p	A G:134;?:0,2
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+72	n	P S:2;-:3,4,18,29,31_34,37,40,43,44,49,50,52,58,59,65,67,69,71,74,91,93,94,98,102,113,120_122,129,133;?:81
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+37	n	R P:5,7;-:3,4,10_12,27_33,35,37,40,42,43,91,98,100,102,112_114,116,118,121,122,132_134,149;?:47_66,68_76,125
+38	n	R -:3,4,10_12,27_33,35,37,40,42,43,91,98,100,102,112_114,116,118,121,122,132_134,149;?:47_66,68_76,125;W:5,7
+>VBIMycTub299822_3944	10736	x
+40	n	L X:0;?:34
+43	n	S W:155;?:34
+>VBIMycTub299822_3945	2584	x
+84	n	H Q:1,5_7,82,123_172;?:34
+>VBIMycTub299822_3974	5351	x
+-50	p	C G:124;?:82,110,111
+>VBIMycTub299822_3985	3099	x
+-29	p	T G:148;?:100
+6	n	T A:123,124;?:100
+10	n	R X:0;S:98;?:100
+11	n	L X:0;S:98;?:100
+12	n	P R:98;?:100
+13	n	P R:98;?:100
+14	n	C A:98;?:100
+15	n	P R:98;?:100
+17	n	Q S:98;?:100
+18	n	R H:98;?:100
+19	n	C I:98;?:100
+20	n	R T:98;?:100
+21	n	S Y:98;?:100
+22	n	S ?:100;F:98
+23	n	Q S:98;?:100
+24	n	P ?:100;G:98
+25	n	H D:98;?:100
+26	n	H L:98;?:100
+27	n	L M:98;?:100
+28	n	L ?:100;T:98
+29	n	L I:98;?:100
+30	n	R D:98;?:100
+31	n	R T:98;?:100
+33	n	D A:98;?:100
+34	n	D R:98;?:100
+35	n	Y E:98;?:100
+36	n	R D:98;?:100
+37	n	H Q:98;?:100
+38	n	T I:166;?:100
+39	n	C L:98;?:100
+40	n	S A:98;?:100
+41	n	R A:98;?:100
+42	n	G T:98;?:100
+43	n	P ?:100;H:98
+44	n	N R:98;?:100
+46	n	C M:98;?:100
+48	n	H ?:100;W:98
+49	n	T A:98;?:100
+50	n	P L:98;?:100
+53	n	V Y:98;?:100
+54	n	G A:98;?:100
+>VBIMycTub299822_4013	5409	x
+>VBIMycTub299822_4021	8497	x
+-34	p	T C:115;?:0,1,32,33,35,44,45,55,57,67,74,76,113,124,125,149
+-16	p	C G:8;?:0,1,32,33,35,44,45,55,57,67,74,76,113,124,125,149
+>VBIMycTub299822_4042	6675	x
+>VBIMycTub299822_4073	11036	x
+-18	p	T C:112_114;?:0,1,5_7,81,123_131,147,151
+>VBIMycTub299822_4076	147	x
+47	n	P L:1,2,5_7,81,123_172
+>VBIMycTub299822_4088	6334	x
+8	n	A G:148;?:0
+53	n	P S:112_114;?:0
+>VBIMycTub299822_4222	9585	x
+12	n	T -:11_13,27_35,37_45,47_72,74_76,82,91,93,102,112_114,116_118,120_122,128,132,150,167;?:0;N:119
+>VBIMycTub299822_4228	5468	x
+-50	p	T Y:0;C:82,148;?:3,4,36,83_90,98,110
+-47	p	G S:0;?:3,4,36,83_90,98,110
+-46	p	C G:82;?:3,4,36,83_90,98,110
+-45	p	C T:82;?:3,4,36,83_90,98,110
+-44	p	G S:0;?:3,4,36,83_90,98,110
+-42	p	A G:82;?:3,4,36,83_90,98,110
+-40	p	A ?:3,4,36,83_90,98,110;G:0
+-39	p	G ?:3,4,36,83_90,98,110;T:82
+-37	p	C T:82;?:3,4,36,83_90,98,110
+-34	p	T G:82;?:3,4,36,83_90,98,110
+-32	p	C S:0;?:3,4,36,83_90,98,110;T:82
+-31	p	C G:82;?:3,4,36,83_90,98,110
+-28	p	A M:0;G:82;?:3,4,36,83_90,98,110
+-26	p	C T:82;?:3,4,36,83_90,98,110
+-25	p	G ?:3,4,36,83_90,98,110;T:82
+-23	p	A T:82;?:3,4,36,83_90,98,110
+-20	p	A C:82;?:3,4,36,83_90,98,110
+-19	p	A C:82;?:3,4,36,83_90,98,110
+-16	p	C A:82;?:3,4,36,83_90,98,110
+-10	p	C G:82;?:3,4,36,83_90,98,110
+-9	p	C T:82;?:3,4,36,83_90,98,110
+-6	p	G A:82;?:3,4,36,83_90,98,110
+-3	p	T A:82;?:3,4,36,83_90,98,110
+-2	p	G C:82;?:3,4,36,83_90,98,110
+0	p	T G:81,130,148;K:0;-:82;?:3,4,36,83_90,98,110
+2	n	V X:0;-:98;?:3,4,36,83_90,110
+6	n	W X:0;-:98;?:3,4,36,83_90,110
+7	n	Q X:0;-:98;?:3,4,36,83_90,110
+100	n	I D:111;?:3,4,36,83_90,110
+>VBIMycTub299822_4231	4064	x
+-47	p	C -:110;T:132;?:0,45,166,172
+-46	p	A -:110;G:132;?:0,45,166,172
+-44	p	T C:132;-:110;?:0,45,166,172
+-42	p	A C:132;?:0,45,166,172
+-40	p	C G:132;?:0,45,166,172
+-39	p	G C:132;?:0,45,166,172
+-38	p	C T:132;?:0,45,166,172
+-36	p	T C:132;?:0,45,166,172
+-34	p	A T:132;?:0,45,166,172
+-32	p	A G:132;?:0,45,166,172
+-30	p	T C:132;?:0,45,166,172
+-25	p	G C:132;?:0,45,166,172
+-24	p	G ?:0,45,166,172;T:132
+-23	p	C A:132;?:0,45,166,172
+-22	p	G A:132;?:0,45,166,172
+-21	p	T G:132;?:0,45,166,172
+-20	p	A C:132,162,163;?:0,45,166,172
+-13	p	A -:132;G:110;?:0,45,166,172
+-11	p	A G:132;?:0,45,166,172
+-8	p	A C:132;?:0,45,166,172
+-6	p	G C:110;?:0,45,166,172
+-4	p	C T:132;?:0,45,166,172
+-1	p	G ?:0,45,166,172;T:132
+>VBIMycTub299822_4247	777	x
+-48	p	T ?:0,17,125,135,137,151,164;N:74
+-47	p	C ?:0,17,125,135,137,151,164;N:74
+-46	p	G ?:0,17,125,135,137,151,164;N:74
+-45	p	A ?:0,17,125,135,137,151,164;N:74
+-44	p	A ?:0,17,125,135,137,151,164;N:74
+-43	p	T ?:0,17,125,135,137,151,164;N:74
+-42	p	A ?:0,17,125,135,137,151,164;N:74
+-41	p	A ?:0,17,125,135,137,151,164;N:74
+-40	p	T ?:0,17,125,135,137,151,164;N:74
+-39	p	T ?:0,17,125,135,137,151,164;N:74
+-38	p	T ?:0,17,125,135,137,151,164;N:74
+-37	p	T ?:0,17,125,135,137,151,164;N:74
+-36	p	T ?:0,17,125,135,137,151,164;N:74
+-35	p	T ?:0,17,125,135,137,151,164;N:74
+-34	p	A ?:0,17,125,135,137,151,164;N:74
+-33	p	C ?:0,17,125,135,137,151,164;N:74
+-32	p	T ?:0,17,125,135,137,151,164;N:74
+-31	p	G ?:0,17,125,135,137,151,164;N:74
+-30	p	T ?:0,17,125,135,137,151,164;N:74
+-29	p	C ?:0,17,125,135,137,151,164;N:74
+-28	p	G ?:0,17,125,135,137,151,164;N:74
+-27	p	G ?:0,17,125,135,137,151,164;N:74
+-26	p	C ?:0,17,125,135,137,151,164;N:74
+-25	p	G ?:0,17,125,135,137,151,164;N:74
+-24	p	A ?:0,17,125,135,137,151,164;N:74
+-23	p	G ?:0,17,125,135,137,151,164;N:74
+-22	p	T ?:0,17,125,135,137,151,164;N:74
+-21	p	G ?:0,17,125,135,137,151,164;N:74
+-20	p	C ?:0,17,125,135,137,151,164;N:74
+-19	p	C ?:0,17,125,135,137,151,164;N:74
+>VBIMycTub299822_4313	1586	x
+6	n	A -:70;D:80;?:18,111,129
+>VBIMycTub299822_4333	8253	x
+-43	p	G S:0;?:122,123
+-25	p	G A:138;?:122,123
+>VBIMycTub299822_4338	5673	x
+-43	p	C G:169;?:0,1,110
+>VBIMycTub299822_4339	6615	x
+18	n	P -:9,100,110;?:0,2,17;X:48
+19	n	A X:48;-:9,100,110;?:0,2,17
+71	n	E Q:81;G:101;?:0,2,17
+89	n	A P:81,130,148;?:0,2,17
+>VBIMycTub299822_4349	10703	x
+>VBIMycTub299822_4364	2792	x
+5	n	G E:25;-:3,4,11_13,27_30,32_35,37_42,44,45,47_52,54_57,60_70,72_76,91,93,102,113,116_118,120_122,132_134,149,150;?:2,151
+25	n	P X:0;-:3,4,13,48,66,73,133,149;?:2,151
+37	n	R S:108;?:2,151
+>VBIMycTub299822_4378	6266	x
+>VBIMycTub299822_4382	1980	x
+>VBIMycTub299822_4480	3238	x
+>VBIMycTub299869_0040	8215	x
+-49	p	T C:14_16;?:3,4,6,28,41,45,53,58,59,64_66,118,121,149
+32	n	R Q:123;?:6
+>VBIMycTub299869_0715	10819	x
+-29	p	C T:6;?:0,8,74,98,125,129
+>VBIMycTub299869_0779	5271	x
+54	n	G X:0;?:1,9_11,19_24,26,42,62,68,110,127,132_134
+55	n	P X:0;?:1,9_11,19_24,26,42,62,68,110,127,132_134
+57	n	R X:0;?:1,9_11,19_24,26,42,62,68,110,127,132_134
+58	n	Q X:0;?:1,9_11,19_24,26,42,62,68,110,127,132_134
+>VBIMycTub299869_1139	4561	x
+-44	p	C A:82;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+-43	p	G C:82;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+-42	p	A C:82;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+-41	p	T C:82;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+-35	p	C T:115;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+-32	p	A C:82;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+-31	p	C T:164;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+-30	p	A G:82;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+-28	p	C A:82;G:164;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+-26	p	C T:82;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+-25	p	A G:82;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+-24	p	T G:82;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+-22	p	G C:82;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+-18	p	C A:115;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+-17	p	C A:115;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+-16	p	C G:82;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+-15	p	G A:82;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+-14	p	C T:82;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+-13	p	G C:82;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+-11	p	C A:82;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+-10	p	C T:82;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+-9	p	A G:82;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+-8	p	G A:82;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+-6	p	A C:82;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+-3	p	C A:82;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+0	p	C -:7,162;T:33,91_94,123,124,135,137_139,141_145,149,154_158,160,161,164_166,168,172;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+6	n	A ?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171;V:115
+8	n	A L:14_16,119,124,131,135,137,138,145,149,150,162,164_166,168,172;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+11	n	A T:2,14_16,77,119,124,131,135,137,138,145,149,150,162,164_166,168,172;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+22	n	K E:5,7,18_24,43,68,78,79,126,138,145,149,150,162,164_166,168,172;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+30	n	G R:112_114;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171;V:115
+31	n	A ?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171;V:2,19_24,34,43,44,78,79,81,130,131,135,137_139,141_145,148_150,154_158,160_162,164_166,168,172
+39	n	D ?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171;V:17,44,78,79,139,141_145
+40	n	L H:17,44,78,79,139,141_145;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+53	n	C X:0;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+78	n	H Y:124;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+88	n	V X:0;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+89	n	A X:0;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+94	n	T X:0;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+95	n	V X:0;?:3,4,6,26,36,80,98,110,125,127_129,132_134,136,140,146,147,151_153,159,163,167,169_171
+>VBIMycTub299869_1246	6431	x
+>VBIMycTub299869_1366	6284	x
+>VBIMycTub299869_1618	1690	x
+-6	p	G A:123;?:3,4,11,27,28,30,37_39,41,43,45,50,52_54,56_58,60,66,68_70,73,75,93,94,114,120,149
+39	n	D A:81;?:30
+44	n	R Q:126;?:30
+>VBIMycTub299869_1963	8255	x
+>VBIMycTub299869_2469	6416	x
+>VBIMycTub299869_2751	7186	x
+>VBIMycTub299869_2819	6130	x
+83	n	V I:95_97;?:2_4,86
+91	n	A ?:2_4,86;V:132_134
+120	n	G X:0;?:2_4,86
+121	n	V X:0;?:2_4,86
+>VBIMycTub299869_2903	5165	pyrH
+-50	p	C G:7,82,95_97,124,125,131,136_138,145,147,162_168;?:5,6,26,33,46,71,98,111,122,123,127,132_135,151,152,169_171;N:128,129
+-49	p	T ?:5,6,26,33,46,71,98,111,122,123,127,132_135,151,152,169_171;N:128,129
+-48	p	T ?:5,6,26,33,46,71,98,111,122,123,127,132_135,151,152,169_171;N:128,129
+-47	p	C G:7,82,95_97,124,125,131,136_138,145,147,162_168;?:5,6,26,33,46,71,98,111,122,123,127,132_135,151,152,169_171;N:128,129
+-46	p	G ?:5,6,26,33,46,71,98,111,122,123,127,132_135,151,152,169_171;N:128,129
+-45	p	C ?:5,6,26,33,46,71,98,111,122,123,127,132_135,151,152,169_171;N:128,129
+-44	p	G ?:5,6,26,33,46,71,98,111,122,123,127,132_135,151,152,169_171;N:128,129
+-43	p	C ?:5,6,26,33,46,71,98,111,122,123,127,132_135,151,152,169_171;N:128,129
+-42	p	C ?:5,6,26,33,46,71,98,111,122,123,127,132_135,151,152,169_171;N:128,129
+-41	p	G ?:5,6,26,33,46,71,98,111,122,123,127,132_135,151,152,169_171;N:128,129
+-40	p	G ?:5,6,26,33,46,71,98,111,122,123,127,132_135,151,152,169_171;N:128,129
+-39	p	C ?:5,6,26,33,46,71,98,111,122,123,127,132_135,151,152,169_171;N:128,129
+-38	p	G ?:5,6,26,33,46,71,98,111,122,123,127,132_135,151,152,169_171;N:128,129
+-37	p	A ?:5,6,26,33,46,71,98,111,122,123,127,132_135,151,152,169_171;N:128,129
+-36	p	C ?:5,6,26,33,46,71,98,111,122,123,127,132_135,151,152,169_171;N:128,129
+-35	p	G ?:5,6,26,33,46,71,98,111,122,123,127,132_135,151,152,169_171;N:128,129
+-34	p	A ?:5,6,26,33,46,71,98,111,122,123,127,132_135,151,152,169_171;N:128,129
+-33	p	T ?:5,6,26,33,46,71,98,111,122,123,127,132_135,151,152,169_171;N:128,129
+-32	p	G ?:5,6,26,33,46,71,98,111,122,123,127,132_135,151,152,169_171;N:128,129
+-31	p	C ?:5,6,26,33,46,71,98,111,122,123,127,132_135,151,152,169_171;N:129
+-30	p	A ?:5,6,26,33,46,71,98,111,122,123,127,132_135,151,152,169_171;N:129
+-29	p	G ?:5,6,26,33,46,71,98,111,122,123,127,132_135,151,152,169_171;N:129
+-28	p	A ?:5,6,26,33,46,71,98,111,122,123,127,132_135,151,152,169_171;N:129
+0	p	G C:95_97,125,131,137,138,145;-:7,128,129;?:5,6,26,33,46,71,98,111,122,123,127,132_135,151,152,169_171
+>VBIMycTub299869_2945	1666	x
+11	n	P -:1,3_7,11_13,27_34,37_39,42,44,45,47_73,75,76,80,85,88,91,93,94,97,98,102,112_114,118,120,122,125,126,128,129,131,145,149,150,167;T:137;?:26,82,127,132_136,151,152,169_171
+20	n	R -:1,3_7,11_13,27_34,37_39,42,44,45,47_73,75,76,80,85,88,91,93,94,97,98,102,112_114,118,120,122,125,126,128,129,131,145,149,150,167;G:36;?:26,82,127,132_136,151,152,169_171
+>VBIMycTub299869_3121	2226	x
+>VBIMycTub299869_4211	8179	x
+>VBIMycTub306674_0002	10031	x
+-44	p	A C:82,87,137_147,149,150,154_162,164,165,167,168,172;-:135,136,151_153,163,169_171;?:27
+-42	p	A -:135,136,151_153,163,169_171;G:87,137_147,149,150,154_162,164,165,167,168,172;?:27
+-41	p	A -:135,136,151_153,163,169_171;G:82;?:27
+-40	p	A G:135;-:136,151_153,163,169_171;T:87,137_147,149,150,154_162,164,165,167,168,172;?:27
+-39	p	A C:87,137_147,149,150,154_162,164,165,167,168,172;-:136,151,163,170;?:27
+-38	p	C A:87,137_147,149,150,154_162,164,165,167,168,172;-:136,151,163,170;T:135;?:27
+-37	p	T A:152,153,169,171;C:135;G:87,137_147,149,150,154_162,164,165,167,168,172;-:136,151,163,170;?:27
+-36	p	T G:82;A:87,135,137_147,149,150,152_162,164,165,167_169,171,172;-:136,151,163,170;?:27
+-35	p	C -:136,151,163,170;G:82,87,135,137_147,149,150,154_162,164,165,167,168,172;?:27
+-34	p	T A:82,87,135,137_147,149,150,154_162,164,165,167,168,172;C:152,153,169,171;-:136,151,163,170;?:27
+-33	p	C -:136,151,163,170;G:82,87,135,137_147,149,150,154_162,164,165,167,168,172;?:27
+-32	p	T A:135,152,153,169,171;-:136,151,163,170;?:27
+-31	p	C -:136,151,163,170;G:135;?:27
+-30	p	T G:152,153,169,171;-:136,151,163,170;?:27
+-28	p	C -:136,151,163,170;T:135;?:27
+-27	p	C -:82,87,136_147,149_151,154_165,167,168,170,172;T:152,153,169,171;?:27
+-26	p	A C:135,152,153,169,171;-:82,87,136_147,149_151,154_165,167,168,170,172;?:27
+-25	p	G A:152,153,169,171;-:136,151,163,170;?:27
+-24	p	G -:136,151,163,170;?:27;T:152,153,169,171
+-23	p	T A:82,87,135,137_147,149,150,154_162,164,165,167,168,172;C:152,153,169,171;-:136,151,163,170;?:27
+-21	p	A C:152,153,169,171;-:136,151,163,170;T:87,135,137_147,149,150,154_162,164,165,167,168,172;?:27
+-20	p	C -:136,151,163,170;T:82;?:27
+-19	p	A -:136,151,163,170;G:82;?:27
+-16	p	A -:136,151,163,170;G:82,87,135,137_147,149,150,152_162,164,165,167_169,171,172;?:27
+-15	p	G A:152,153,169,171;-:136,151,163,170;?:27
+-14	p	T A:152,153,169,171;-:136,151,163,170;?:27
+-9	p	G A:148;-:135_147,149_165,167_172;?:27
+-8	p	A -:135_147,149_165,167_172;G:148;?:27
+-7	p	G A:148,151;-:135_147,149,150,152_165,167_172;?:27
+35	n	S P:19_24,43;?:27
+>VBIMycTub307094_3385	5737	x
+22	n	F X:0;?:151
+47	n	S R:91_94;?:151
+>VBIMycTub307603_4119	9042	x
+50	n	V X:0;?:167
+80	n	A ?:167;V:81
+>VBIMycTub309802_1419	8728	x
+>VBIMycTub309802_1543	9920	x
+14	n	P L:112_119
+47	n	L F:166
+48	n	C F:0,9_13
+49	n	M I:148
+>VBIMycTub309802_2069	3479	x
+39	n	G X:77;?:0,6,8,36,82,91_98,125,133_137,145,149,152,171,172
+42	n	I X:77;?:0,6,8,36,82,91_98,125,133_137,145,149,152,171,172
+61	n	R G:22;?:0,6,8,36,82,91_98,125,133_137,145,149,152,171,172
+74	n	S R:138_144,146_148,150,151,153_170;?:0,6,8,36,82,91_98,125,133_137,145,149,152,171,172
+>VBIMycTub309802_2601	9888	x
+>VBIMycTub309802_3214	8155	x
+-50	p	C ?:6,8,18,26,48,74,110,111,124,128,132_134;N:167
+-49	p	T ?:6,8,18,26,48,74,110,111,124,128,132_134;N:167
+-48	p	G ?:6,8,18,26,48,74,110,111,124,128,132_134;N:167
+-47	p	C G:127;?:6,8,18,26,48,74,110,111,124,128,132_134;N:167
+-46	p	T G:127;?:6,8,18,26,48,74,110,111,124,128,132_134;N:167
+-45	p	C ?:6,8,18,26,48,74,110,111,124,128,132_134;N:167
+-44	p	A G:127;?:6,8,18,26,48,74,110,111,124,128,132_134;N:167
+-43	p	T ?:6,8,18,26,48,74,110,111,124,128,132_134;N:167
+-42	p	G ?:6,8,18,26,48,74,110,111,124,128,132_134;N:167
+-41	p	A ?:6,8,18,26,48,74,110,111,124,128,132_134;N:167
+-40	p	A ?:6,8,18,26,48,74,110,111,124,128,132_134;N:167
+-39	p	A C:127;?:6,8,18,26,48,74,110,111,124,128,132_134;N:167
+-38	p	C ?:6,8,18,26,48,74,110,111,124,128,132_134;N:167
+-37	p	G ?:6,8,18,26,48,74,110,111,124,128,132_134;N:167
+-36	p	T C:127;?:6,8,18,26,48,74,110,111,124,128,132_134;N:167
+-31	p	A G:127;?:6,8,18,26,48,74,110,111,124,128,132_134
+-28	p	C T:127;?:6,8,18,26,48,74,110,111,124,128,132_134
+-26	p	G C:127;?:6,8,18,26,48,74,110,111,124,128,132_134
+-23	p	G A:127;?:6,8,18,26,48,74,110,111,124,128,132_134
+-20	p	C G:127;?:6,8,18,26,48,74,110,111,124,128,132_134
+-19	p	A G:127;?:6,8,18,26,48,74,110,111,124,128,132_134
+-18	p	A C:127;?:6,8,18,26,48,74,110,111,124,128,132_134
+-16	p	G A:127;?:6,8,18,26,48,74,110,111,124,128,132_134
+-11	p	G A:127;?:6,8,18,26,48,74,110,111,124,128,132_134
+-8	p	C G:127;?:6,8,18,26,48,74,110,111,124,128,132_134
+-7	p	T G:127;?:6,8,18,26,48,74,110,111,124,128,132_134
+-4	p	T C:127;?:6,8,18,26,48,74,110,111,124,128,132_134
+-2	p	C G:127;?:6,8,18,26,48,74,110,111,124,128,132_134
+-1	p	G C:127;?:6,8,18,26,48,74,110,111,124,128,132_134
+3	n	T G:127;?:6,8,18,26,48,74,110,111,124,128,132_134
+91	n	A X:0;?:6,8,18,26,48,74,110,111,124,128,132_134
+103	n	V F:35;?:6,8,18,26,48,74,110,111,124,128,132_134
+>VBIMycTub310479_0387	2047	x
+-13	p	C ?:132;W:0
+-12	p	A ?:132;G:0
+>VBIMycTub310479_0834	9917	x
+-31	p	T C:9_13,111;?:0,165
+>VBIMycTub311078_0129	8262	x
+26	n	V X:0;?:22,163
+28	n	S X:0;?:22,163
+30	n	N X:0;?:22,163
+32	n	P X:0;?:22,163
+41	n	A ?:22,163;V:47_76
+>VBIMycTub312114_4267	9869	x
+8	n	V A:171;?:0
+>VBIMycTub312114_4573	9829	x
+142	n	C R:98;?:1,12,13,22,135,137,151
+185	n	G ?:1,12,13,22,135,137,151;D:95_97
+>VBIMycTub312951_0051	7237	x
+76	n	A S:6;?:2
+81	n	N X:0;?:2
+>VBIMycTub312951_1781	7335	x
+-50	p	C ?:26,132,151,152,166;N:125
+-49	p	G ?:26,132,151,152,166;N:125
+-48	p	A ?:26,132,151,152,166;N:125
+-47	p	G ?:26,132,151,152,166;N:125
+-46	p	T ?:26,132,151,152,166;N:125
+-45	p	C ?:26,132,151,152,166;N:125
+-44	p	A ?:26,132,151,152,166;N:125
+-43	p	A ?:26,132,151,152,166;N:125
+-42	p	G A:150,171,172;?:26,132,151,152,166;N:125
+-41	p	G ?:26,132,151,152,166;N:125
+-40	p	T ?:26,132,151,152,166;N:125
+-39	p	C ?:26,132,151,152,166;N:125
+-38	p	A ?:26,132,151,152,166;N:125
+-37	p	G ?:26,132,151,152,166;N:125
+-36	p	C ?:26,132,151,152,166;N:125
+-35	p	G ?:26,132,151,152,166;N:125
+-34	p	A ?:26,132,151,152,166;N:125
+-33	p	A ?:26,132,151,152,166;N:125
+-32	p	C ?:26,132,151,152,166;N:125
+-31	p	A ?:26,132,151,152,166;N:125
+-30	p	A ?:26,132,151,152,166;N:125
+-29	p	C ?:26,132,151,152,166;N:125
+-28	p	C ?:26,132,151,152,166;N:125
+-27	p	C ?:26,132,151,152,166;N:125
+-26	p	G ?:26,132,151,152,166;N:125
+-25	p	A ?:26,132,151,152,166;N:125
+-24	p	C ?:26,132,151,152,166;N:125
+-23	p	C ?:26,132,151,152,166;N:125
+-22	p	A ?:26,132,151,152,166;N:125
+-21	p	C ?:26,132,151,152,166;N:125
+-20	p	A ?:26,132,151,152,166;N:125
+-19	p	C ?:26,132,151,152,166;N:125
+-18	p	C ?:26,132,151,152,166;N:125
+-17	p	C ?:26,132,151,152,166;N:125
+-16	p	G ?:26,132,151,152,166;N:125
+-15	p	G ?:26,132,151,152,166;N:125
+-14	p	A ?:26,132,151,152,166;N:125
+-13	p	A ?:26,132,151,152,166;N:125
+-12	p	A ?:26,132,151,152,166;N:125
+-11	p	G ?:26,132,151,152,166;N:125
+-10	p	A ?:26,132,151,152,166;N:125
+-9	p	C ?:26,132,151,152,166;N:125
+-8	p	G ?:26,132,151,152,166;N:125
+-7	p	A ?:26,132,151,152,166;N:125
+-6	p	C ?:26,132,151,152,166;N:125
+-5	p	G ?:26,132,151,152,166;N:125
+-4	p	C ?:26,132,151,152,166;N:125
+-3	p	G ?:26,132,151,152,166;N:125
+-2	p	C ?:26,132,151,152,166;N:125
+-1	p	A C:123;?:26,132,151,152,166
+12	n	V G:147;?:26,132,151,152,166
+85	n	E R:2;?:26,132,151,152,166
+86	n	Q P:2;?:26,132,151,152,166
+88	n	I ?:26,132,151,152,166;V:2
+89	n	H R:2;?:26,132,151,152,166
+90	n	D W:2;?:26,132,151,152,166
+92	n	A P:2;?:26,132,151,152,166
+101	n	A R:2;?:26,132,151,152,166
+103	n	T H:2;?:26,132,151,152,166
+104	n	G R:2;?:26,132,151,152,166
+106	n	A ?:26,132,151,152,166;G:2
+117	n	G C:2;?:26,132,151,152,166
+136	n	H R:0,2,81,99_101,103_110,130;?:26,132,151,152,166
+170	n	R X:0;?:26,132,151,152,166
+198	n	A E:25;?:26,132,151,152,166
+>VBIMycTub312951_3535	9985	x
+17	n	V F:2;?:0,98
diff --git a/datasets/mtu173/input/res_profiles.txt b/datasets/mtu173/input/res_profiles.txt
new file mode 100644
index 0000000..dcca802
--- /dev/null
+++ b/datasets/mtu173/input/res_profiles.txt
@@ -0,0 +1,8 @@
+HaarlemNITR202 RGTB423 CASNITR204 OSDD493 OSDD105 NA-A0009 EAI_OSDD271 NA-A0008 RGTB327 CDC1551 CDC1551A PanR0305 PanR0316 PanR0301 SUMu001 SUMu011 SUMu010 98-R604_INH-RIF-EM GM_1503 KZN_V2475 KZN_1435 KZN_R506 KZN_605 KZN_4207_Broad KZN_4207 F11 HM PanR0708 PanR0906 PanR0703 PanR1007 PanR0611 PanR0704 PanR0805 PanR1101 PanR0403 UT205 PanR0313 PanR0610 PanR0903 PanR0404 PanR0409 PanR0503 PanR0402 PanR0203 PanR0602 CTRI-2 PanR0407 PanR0601 PanR0401 PanR0205 PanR0306 PanR0209 PanR0607 PanR [...]
+Rifampicin	R S:9,14_16,18,23,24,46,80,83_90,92,95_97,99_101,110,111,117,119,123_125,128,129,131,137,145_147,155_157,166,168;?:0_2,5,7,8,10,25,26,33,36,77_79,81,103_109,115,126,127,130,132_134,148,153,164,167
+Fluoroquinolones	? S:4,9,14_18,20,23,24,46,80,83_90,92,95_101,110,111,117,119,123_125,128,129,131,137,139,142,145,146,158,166;R:3,21,22,82,135,136,138,141,143,152,159,160,163,165,169_172
+Isoniazid	R S:9,14_16,18,23,24,46,80,83_90,92,99_101,110,111,117,119,123_125,128,129,131,137,145_147,166,168;?:0,2,5,7,10,25,26,33,36,77_79,81,103_109,115,126,127,130,132_134,148,153,164,167
+Rifampicin	R S:9,14_16,18,23,24,46,80,83_90,92,95_97,99_101,110,111,117,119,123_125,128,129,131,137,145_147,155_157,166,168;?:0_2,5,7,8,10,25,26,33,36,77_79,81,103_109,115,126,127,130,132_134,148,153,164,167
+Ethambutol	S R:1,3,4,6,17,22,29,44,49_52,55,60_64,69,74,75,82,94,98,102,113,116,120,122,136,138,152,161,163,165,169_172;?:0,2,5,7,8,10,19,21,25,26,33,34,36,59,77_79,81,103_109,115,126,127,130,132_134,148,151,153,160,162,164,167
+Streptomycin	R S:9,11,14_18,20,23,24,27,28,30_32,37_42,45,46,67,80,83_90,92,95,96,99_101,110_112,117,119,123_125,128,129,131,137,145,146,150,160,166,168;?:0,2,5,7,8,10,25,26,33,34,36,59,77_79,81,103_109,115,126,127,130,132_134,140,143,144,147,148,151,153_157,159,161,162,164,167
+Pyrazinamide	? S:3,9,14_16,18,23,24,46,80,83_90,92,95_97,99_101,110,111,117,119,123_125,128,129,131,137,145,146,163,166;R:4,6,98,138,165,172
diff --git a/datasets/mtu173/input/res_profiles_cmp.txt b/datasets/mtu173/input/res_profiles_cmp.txt
new file mode 100644
index 0000000..21c7a8b
--- /dev/null
+++ b/datasets/mtu173/input/res_profiles_cmp.txt
@@ -0,0 +1,10 @@
+HaarlemNITR202 RGTB423 CASNITR204 OSDD493 OSDD105 NA-A0009 EAI_OSDD271 NA-A0008 RGTB327 CDC1551 CDC1551A PanR0305 PanR0316 PanR0301 SUMu001 SUMu011 SUMu010 98-R604_INH-RIF-EM GM_1503 KZN_V2475 KZN_1435 KZN_R506 KZN_605 KZN_4207_Broad KZN_4207 F11 HM PanR0708 PanR0906 PanR0703 PanR1007 PanR0611 PanR0704 PanR0805 PanR1101 PanR0403 UT205 PanR0313 PanR0610 PanR0903 PanR0404 PanR0409 PanR0503 PanR0402 PanR0203 PanR0602 CTRI-2 PanR0407 PanR0601 PanR0401 PanR0205 PanR0306 PanR0209 PanR0607 PanR [...]
+Rifampicin	R S:9,14_16,18,23,24,46,80,83_90,92,95_97,99_101,110,111,117,119,123_125,128,129,131,137,145_147,155_157,166,168;?:0_2,5,7,8,10,25,26,33,36,77_79,81,103_109,115,126,127,130,132_134,148,153,164,167
+Fluoroquinolones	? 
+Rifampicin	R S:9,14_16,18,23,24,46,80,83_90,92,95_97,99_101,110,111,117,119,123_125,128,129,131,137,145_147,155_157,166,168;?:0_2,5,7,8,10,25,26,33,36,77_79,81,103_109,115,126,127,130,132_134,148,153,164,167
+Fluoroquinolones	? S:4,9,14_18,20,23,24,46,80,83_90,92,95_101,110,111,117,119,123_125,128,129,131,137,139,142,145,146,158,166;R:3,21,22,82,135,136,138,141,143,152,159,160,163,165,169_172
+Isoniazid	R S:9,14_16,18,23,24,46,80,83_90,92,99_101,110,111,117,119,123_125,128,129,131,137,145_147,166,168;?:0,2,5,7,10,25,26,33,36,77_79,81,103_109,115,126,127,130,132_134,148,153,164,167
+Rifampicin	R S:9,14_16,18,23,24,46,80,83_90,92,95_97,99_101,110,111,117,119,123_125,128,129,131,137,145_147,155_157,166,168;?:0_2,5,7,8,10,25,26,33,36,77_79,81,103_109,115,126,127,130,132_134,148,153,164,167
+Ethambutol	S R:1,3,4,6,17,22,29,44,49_52,55,60_64,69,74,75,82,94,98,102,113,116,120,122,136,138,152,161,163,165,169_172;?:0,2,5,7,8,10,19,21,25,26,33,34,36,59,77_79,81,103_109,115,126,127,130,132_134,148,151,153,160,162,164,167
+Streptomycin	R S:9,11,14_18,20,23,24,27,28,30_32,37_42,45,46,67,80,83_90,92,95,96,99_101,110_112,117,119,123_125,128,129,131,137,145,146,150,160,166,168;?:0,2,5,7,8,10,25,26,33,34,36,59,77_79,81,103_109,115,126,127,130,132_134,140,143,144,147,148,151,153_157,159,161,162,164,167
+Pyrazinamide	? S:3,9,14_16,18,23,24,46,80,83_90,92,95_97,99_101,110,111,117,119,123_125,128,129,131,137,145,146,163,166;R:4,6,98,138,165,172
diff --git a/datasets/mtu173/input/strains_ordered.txt b/datasets/mtu173/input/strains_ordered.txt
new file mode 100644
index 0000000..443501d
--- /dev/null
+++ b/datasets/mtu173/input/strains_ordered.txt
@@ -0,0 +1,173 @@
+HaarlemNITR202
+RGTB423
+CASNITR204
+OSDD493
+OSDD105
+NA-A0009
+EAI_OSDD271
+NA-A0008
+RGTB327
+CDC1551
+CDC1551A
+PanR0305
+PanR0316
+PanR0301
+SUMu001
+SUMu011
+SUMu010
+98-R604_INH-RIF-EM
+GM_1503
+KZN_V2475
+KZN_1435
+KZN_R506
+KZN_605
+KZN_4207_Broad
+KZN_4207
+F11
+HM
+PanR0708
+PanR0906
+PanR0703
+PanR1007
+PanR0611
+PanR0704
+PanR0805
+PanR1101
+PanR0403
+UT205
+PanR0313
+PanR0610
+PanR0903
+PanR0404
+PanR0409
+PanR0503
+PanR0402
+PanR0203
+PanR0602
+CTRI-2
+PanR0407
+PanR0601
+PanR0401
+PanR0205
+PanR0306
+PanR0209
+PanR0607
+PanR0609
+PanR0904
+PanR0803
+PanR0207
+PanR0314
+PanR0909
+PanR0707
+PanR0603
+PanR0604
+PanR0702
+PanR0505
+PanR0804
+PanR0411
+PanR0307
+PanR0412
+PanR0405
+PanR0410
+PanR0317
+PanR0311
+PanR1006
+PanR1005
+PanR0802
+PanR0501
+INS_SEN
+INS_XDR
+INS_MDR
+MTB-476
+EAI5NITR206
+GuangZ0019
+SUMu006
+SUMu004
+SUMu005
+SUMu007
+SUMu003
+SUMu008
+SUMu002
+SUMu009
+PanR0208
+MTB-489
+PanR0309
+PanR0202
+BTB05-559
+BTB05-552
+S96-129
+OSDD515
+H37Rv
+SUMu012
+H37Ra
+PanR0908
+H37RvHA
+H37RvMA
+H37RvAE
+H37RvCO
+H37Rv_Broad
+H37RvLP
+H37RvJO
+H37Ra_WGS
+C
+PanR0315
+PanR0907
+PanR0206
+Haarlem
+PanR0902
+Erdman
+PanR0801
+7199-99
+PanR0308
+PanR0201
+PanR0304
+CPHL_A
+K85
+T92
+43-16836
+PR05
+T17
+T46
+EAI5
+EAS054
+OSDD504
+OSDD518
+OSDD071
+UM_1072388579
+FJ05194
+94_M4241A
+CTRI-4
+X132
+R1207
+X28
+X156
+X85
+R1746
+02_1987
+HN878
+210
+BeijingNITR203
+PanR0605
+PanR0606
+OM-V02_005
+XDR1221
+NCGM2209
+R1505
+R1441
+R1390
+R1842
+X29
+X122
+X189
+R1909
+W-148
+SP21
+CCDC5180
+BT2
+CCDC5079
+T85
+HKBS1
+WX1
+WX3
+XDR1219
+BT1
diff --git a/datasets/mtu173/input/tree.txt b/datasets/mtu173/input/tree.txt
new file mode 100644
index 0000000..1cd5556
--- /dev/null
+++ b/datasets/mtu173/input/tree.txt
@@ -0,0 +1 @@
+(HaarlemNITR202,(RGTB423,(CASNITR204,((OSDD493,OSDD105),(NA-A0009,(EAI_OSDD271,NA-A0008),(RGTB327,((((CDC1551,CDC1551A),(PanR0305,(PanR0316,PanR0301))),((SUMu001,(SUMu011,SUMu010)),(((98-R604_INH-RIF-EM,GM_1503),((((KZN_V2475,KZN_1435),(KZN_R506,KZN_605)),(KZN_4207_Broad,KZN_4207)),(((F11,HM),((PanR0708,PanR0906),((PanR0703,(PanR1007,PanR0611)),(PanR0704,PanR0805)))),(((PanR1101,PanR0403),UT205),((((PanR0313,PanR0610),((PanR0903,PanR0404),PanR0409)),PanR0503),((PanR0402,PanR0203),((PanR0 [...]
diff --git a/datasets/mtu173/input/treePHYLIP.txt b/datasets/mtu173/input/treePHYLIP.txt
new file mode 100644
index 0000000..fcbd9f9
--- /dev/null
+++ b/datasets/mtu173/input/treePHYLIP.txt
@@ -0,0 +1 @@
+(HaarlemNITR202,(CASNITR204,(((EAI_OSDD271,(OSDD515,OSDD105,OSDD493)),(GM_1503,H37Ra_WGS,(((CPHL_A,K85),((EAS054,(EAI5,EAI5NITR206)),(T92,(43-16836,PR05),((NA-A0008,NA-A0009),(T46,T17))))),(((C,(PanR0315,(Haarlem,((PanR0206,PanR0907),((Erdman,(PanR0902,PanR0801)),7199-99)))),((CDC1551,CDC1551A),(PanR0305,PanR0301,PanR0316))),((GuangZ0019,((SUMu008,(SUMu007,SUMu003),SUMu006),(SUMu009,(SUMu002,(SUMu004,SUMu005))))),((S96-129,BTB05-559,BTB05-552),(((PanR0202,(PanR0309,PanR0208)),MTB-489),(( [...]
diff --git a/datasets/mtu173/input/treePHYML.txt b/datasets/mtu173/input/treePHYML.txt
new file mode 100644
index 0000000..e260cc7
--- /dev/null
+++ b/datasets/mtu173/input/treePHYML.txt
@@ -0,0 +1 @@
+((((((((((((((((((PanR0311,PanR0306),(PanR0405,PanR0410,PanR0317)),(PanR0307,PanR0412,(PanR0501,PanR1006,(PanR1005,PanR0802)))),(PanR0209,(((PanR0601,PanR0207,PanR0909,PanR0314),PanR0904,PanR0609,PanR0607),PanR0803))),(PanR0702,(PanR0205,(((PanR0604,PanR0603),PanR0401,PanR0707),PanR0505)))),PanR0411),((PanR0407,KZN_605),PanR0804)),(CTRI-2,PanR0602)),(((KZN_R506,(KZN_1435,KZN_V2475)),KZN_4207,KZN_4207_Broad),PanR0402)),PanR0203),((((((((((Erdman,((Haarlem,PanR0902),PanR0801)),7199-99),(Pa [...]
diff --git a/datasets/mtu173/input/treeRAXML.txt b/datasets/mtu173/input/treeRAXML.txt
new file mode 100644
index 0000000..93d1172
--- /dev/null
+++ b/datasets/mtu173/input/treeRAXML.txt
@@ -0,0 +1 @@
+(UT205,98-R604_INH-RIF-EM,(((((MTB-476,(((((((((OM-V02_005,((BeijingNITR203,(PanR0605,(PanR0606,((HKBS1,(((CCDC5079,((R1909,X189,(X29,R1842,(X122,R1505,R1441,R1390))),(W-148,SP21))),(WX3,(T85,WX1))),((BT2,CCDC5180),(XDR1219,BT1)))),(210,HN878))))),(XDR1221,NCGM2209))),(CTRI-4,(02_1987,(R1746,(X156,X85,(X132,X28,R1207)))))),(94_M4241A,(FJ05194,UM_1072388579))),(OSDD071,(OSDD504,(OSDD518,(HaarlemNITR202,CASNITR204))))),((EAI_OSDD271,((T92,(((NA-A0008,NA-A0009),(T46,T17)),(43-16836,PR05))), [...]
diff --git a/datasets/mtu173/input/tree_bin.txt b/datasets/mtu173/input/tree_bin.txt
new file mode 100644
index 0000000..a303e56
--- /dev/null
+++ b/datasets/mtu173/input/tree_bin.txt
@@ -0,0 +1,5 @@
+(HaarlemNITR202,(RGTB423,(CASNITR204,((OSDD493,OSDD105),(((RGTB327,((((CDC1551,CDC1551A),(PanR0305,(PanR0316,PanR0301))),((SUMu001,(SUMu011,SUMu010)),(((98-R604_INH-RIF-EM,GM_1503),((((KZN_V2475,KZN_1435),(KZN_R506,KZN_605)),(KZN_4207_Broad,KZN_4207)),(((F11,HM),((PanR0708,PanR0906),((PanR0703,(PanR1007,PanR0611)),(PanR0704,PanR0805)))),(((PanR1101,PanR0403),UT205),((((PanR0313,PanR0610),((PanR0903,PanR0404),PanR0409)),PanR0503),((PanR0402,PanR0203),((PanR0602,CTRI-2),((PanR0407,PanR0601 [...]
+(HaarlemNITR202,(RGTB423,(CASNITR204,((OSDD493,OSDD105),(((RGTB327,((((CDC1551,CDC1551A),(PanR0305,(PanR0316,PanR0301))),((SUMu001,(SUMu011,SUMu010)),(((98-R604_INH-RIF-EM,GM_1503),((((KZN_V2475,KZN_1435),(KZN_R506,KZN_605)),(KZN_4207_Broad,KZN_4207)),(((F11,HM),((PanR0708,PanR0906),((PanR0703,(PanR1007,PanR0611)),(PanR0704,PanR0805)))),(((PanR1101,PanR0403),UT205),((((PanR0313,PanR0610),((PanR0903,PanR0404),PanR0409)),PanR0503),((PanR0402,PanR0203),((PanR0602,CTRI-2),((PanR0407,PanR0601 [...]
+(HaarlemNITR202,(RGTB423,(CASNITR204,((OSDD493,OSDD105),((NA-A0009,(RGTB327,((((CDC1551,CDC1551A),(PanR0305,(PanR0316,PanR0301))),((SUMu001,(SUMu011,SUMu010)),(((98-R604_INH-RIF-EM,GM_1503),((((KZN_V2475,KZN_1435),(KZN_R506,KZN_605)),(KZN_4207_Broad,KZN_4207)),(((F11,HM),((PanR0708,PanR0906),((PanR0703,(PanR1007,PanR0611)),(PanR0704,PanR0805)))),(((PanR1101,PanR0403),UT205),((((PanR0313,PanR0610),((PanR0903,PanR0404),PanR0409)),PanR0503),((PanR0402,PanR0203),((PanR0602,CTRI-2),((PanR0407 [...]
+(HaarlemNITR202,(RGTB423,(CASNITR204,((OSDD493,OSDD105),(((EAI_OSDD271,NA-A0008),(RGTB327,((((CDC1551,CDC1551A),(PanR0305,(PanR0316,PanR0301))),((SUMu001,(SUMu011,SUMu010)),(((98-R604_INH-RIF-EM,GM_1503),((((KZN_V2475,KZN_1435),(KZN_R506,KZN_605)),(KZN_4207_Broad,KZN_4207)),(((F11,HM),((PanR0708,PanR0906),((PanR0703,(PanR1007,PanR0611)),(PanR0704,PanR0805)))),(((PanR1101,PanR0403),UT205),((((PanR0313,PanR0610),((PanR0903,PanR0404),PanR0409)),PanR0503),((PanR0402,PanR0203),((PanR0602,CTRI [...]
+(HaarlemNITR202,(RGTB423,(CASNITR204,((OSDD493,OSDD105),((NA-A0009,(RGTB327,((((CDC1551,CDC1551A),(PanR0305,(PanR0316,PanR0301))),((SUMu001,(SUMu011,SUMu010)),(((98-R604_INH-RIF-EM,GM_1503),((((KZN_V2475,KZN_1435),(KZN_R506,KZN_605)),(KZN_4207_Broad,KZN_4207)),(((F11,HM),((PanR0708,PanR0906),((PanR0703,(PanR1007,PanR0611)),(PanR0704,PanR0805)))),(((PanR1101,PanR0403),UT205),((((PanR0313,PanR0610),((PanR0903,PanR0404),PanR0409)),PanR0503),((PanR0402,PanR0203),((PanR0602,CTRI-2),((PanR0407 [...]
diff --git a/datasets/mtu_broad/gold/broad_genes.txt b/datasets/mtu_broad/gold/broad_genes.txt
new file mode 100644
index 0000000..8ac491c
--- /dev/null
+++ b/datasets/mtu_broad/gold/broad_genes.txt
@@ -0,0 +1,26 @@
+Rv0005
+Rv0006
+Rv0341
+Rv0342
+Rv0343
+Rv0667
+Rv0682
+Rv1483
+Rv1484
+Rv1694
+Rv1854c
+Rv1908c
+Rv2043c
+Rv2245
+Rv2427Ac
+Rv2428
+Rv2764c
+Rv2764c
+Rv3423c
+Rv3793
+Rv3794
+Rv3795
+Rv3854c
+Rv3919c
+Rvnr01
+Rvnr02
diff --git a/datasets/mtu_broad/gold/gold_assocs_A.txt b/datasets/mtu_broad/gold/gold_assocs_A.txt
new file mode 100644
index 0000000..b55280b
--- /dev/null
+++ b/datasets/mtu_broad/gold/gold_assocs_A.txt
@@ -0,0 +1,821 @@
+%Rifampicin
+>Rv0667
+65	V	F
+300	A	V
+409	Q	H
+423	E	A
+424	F	S,L
+426	G	S,D,G
+427	T	A,H,S,P
+428	S	Q,R,T
+429	Q	H,K
+430	L	P,R,V
+431	S	I,R,T,G
+432	Q	E,F,H,K,*,L,N,Q,P,R
+433	F	F,R,L,V
+434	M	I,M,F
+435	D	A,E,D,G,F,H,N,V,Y
+436	Q	Q,H,L
+437	N	Y,I,T,H,D
+438	N	K,N
+440	L	P,M,L
+441	S	L,W
+442	G	A,W
+443	L	S,W
+444	T	I,P
+445	H	C,D,G,F,L,N,Q,P,S,R,T,Y
+446	K	Q,K,N
+447	R	H,P
+450	S	C,F,L,Q,W,Y
+452	L	P
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+457	L	P,*
+460	E	G
+464	L	M
+472	S	A
+480	I	T,V
+490	L	V
+541	S	A
+552	R	C
+591	E	D
+
+%Capreomycin
+>Rv1694
+3	R	*
+14	R	W
+18	R	*
+22	Q	*
+67	A	E
+69	K	E
+91	A	E
+118	L	P
+128	V	E
+150	L	P
+183	P	L
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+185	F	L
+236	N	K
+238	E	K
+>Rvnr01
+1401	A	G
+1402	C	A,T
+1484	G	T
+
+%Fluoroquinolones
+>Rv0006
+74	A	S
+80	T	A
+88	G	A
+89	D	N
+90	A	G,V
+91	S	P
+94	D	A,G,F,H,N,V,Y
+95	S	T
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+>Rv0005
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+481	G	A
+505	D	A
+511	T	P
+512	E	D,V
+515	A	T,V
+549	Q	H
+
+%Isoniazid
+>Rv2846c
+73	I	T
+>Rv0340
+163	V	I
+>Rv2428
+-66	G	A
+-49	T	G
+-46	G	A
+-44	T	A
+-40	T	C
+-39	C	T
+-34	T	A
+-30	C	T
+-20	C	T
+-12	C	T
+-9	G	A
+-6	G	A
+-5	G	A
+2	P	S
+3	L	K
+5	T	I
+10	F	I
+33	D	N
+73	D	H
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+191	L	R
+>Rv0342
+3	P	A
+537	R	H
+>Rv1908c
+1	V	A,L
+2	P	S
+11	T	A
+12	T	P
+17	S	N
+19	G	D
+35	N	D
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+48	L	Q
+61	A	T
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+65	A	*,T
+66	A	P
+71	I	N
+72	D	K,G
+73	D	N
+74	D	Y,G
+84	M	I
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+94	D	A,G
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+108	H	Q,E,D
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+160	S	L
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+180	T	K,C
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+191	W	*,R
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+275	T	A,P,S
+279	G	D
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+291	A	P
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+302	S	R
+304	Y	S
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+308	T	P
+309	G	S,C,D,F
+311	D	Y,E,G,F
+314	S	T,N
+315	S	G,I,L,N,R,T
+316	G	S,D
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+331	S	C
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+336	L	R
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+357	D	H,N
+361	A	D
+378	L	P
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+380	T	I
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+390	T	I,L
+393	I	N
+394	T	A
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+409	A	R,D
+413	Y	H
+414	K	N
+418	R	Q,L
+419	D	H
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+454	E	R
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+462	I	T
+463	R	L
+477	W	*
+484	R	S
+485	G	V
+488	K	N
+490	R	C
+491	G	C
+502	Q	H
+505	W	S,R
+515	R	C
+525	Q	P
+529	N	D
+550	A	D
+551	A	G
+567	F	S
+573	D	N
+574	A	E,V
+587	L	I,P,M
+589	P	T
+593	G	D
+607	E	K
+609	M	I
+619	L	P
+629	G	S
+634	L	F
+636	A	E
+653	L	P
+685	G	R
+695	D	A
+699	G	Q
+700	S	P
+710	V	A
+713	A	P
+716	A	P
+717	Q	P
+727	A	D
+728	W	C
+735	D	A,D,N
+>Rv1772
+4	T	A
+>Rv3566c
+67	G	R
+207	G	E
+>Rv1854c
+13	R	C
+18	V	A
+110	T	A
+239	L	P
+268	R	H
+>Rv3795
+333	Y	H
+>Rv0343
+83	W	G
+>Rv2243
+275	S	N
+>Rv1483
+-92	A	T
+-67	G	C
+-24	G	T
+-17	G	T
+-15	C	T
+-8	T	A,C,G
+-5	T	A
+5	A	P
+14	V	L
+21	T	A
+>Rv1484
+8	K	N
+16	I	T
+21	I	T,V
+47	I	T
+78	V	A
+94	S	A,L
+95	I	P,T
+194	I	T
+202	R	G
+217	E	D
+>Rv2247
+229	D	G
+>Rv0129c
+-63	C	T
+-23	A	C
+158	G	S
+>Rv2245
+66	D	N
+77	M	I
+121	R	K
+269	G	S
+312	G	S
+387	G	D
+413	F	L
+>Rv1909c
+5	S	P
+>Rv1592c
+-29	G	A
+42	P	L
+430	V	A
+
+%Moxifloxacin
+>Rv0006
+74	A	S
+80	T	A
+88	G	A
+89	D	N
+90	A	G,V
+91	S	P
+94	D	A,G,F,H,N,V,Y
+95	S	T
+102	P	H
+109	L	V
+>Rv0005
+457	R	C
+458	S	F
+472	D	A,H,N
+481	G	A
+505	D	A
+511	T	P
+512	E	D,V
+515	A	T,V
+549	Q	H
+
+%Para-Aminosalisylic_acid
+>Rv2764c
+202	T	A
+222	R	G
+
+%Amikacin
+>Rv1694
+3	R	*
+14	R	W
+18	R	*
+22	Q	*
+67	A	E
+69	K	E
+91	A	E
+118	L	P
+128	V	E
+150	L	P
+183	P	L
+184	Q	*
+185	F	L
+236	N	K
+238	E	K
+>Rvnr01
+1401	A	G
+1402	C	A,T
+1484	G	T
+
+%Pyrazinamide
+>Rv2043c
+-12	T	G
+-11	A	C,G
+-7	T	C
+1	M	I,*,T
+3	A	P,E
+4	L	S,W
+5	I	S
+7	V	I,D,G,F
+8	D	Y,E,G
+9	V	A,S,L,G
+10	Q	P,K,*,R
+12	D	A,N
+13	F	S
+14	C	Y,H,R
+17	G	*,D,V
+19	L	P,R
+21	V	G
+23	G	V
+25	A	E
+26	A	G
+28	A	*,D
+34	Y	S,*
+35	L	P,R,*
+37	E	*
+41	Y	H,*
+43	H	P
+45	V	G
+46	A	P,*,E,V
+47	T	A,P,S
+49	D	A,H,G,V
+51	H	Q,P,R,Y,N
+53	D	A,*,N
+54	P	*,L,T
+57	H	Y,P,D,L
+58	F	*,L
+59	S	P
+61	T	P
+62	P	H,R,L
+63	D	H,G
+64	Y	*,D
+66	S	P
+67	S	P
+68	W	R,*,S,G,L
+69	P	R,L
+71	H	Y,*,R,E,D
+72	C	Y,*,R,W
+75	M	T
+76	T	I,P
+78	G	D
+79	A	*,G
+80	F	*,V
+82	H	Y,R,D,L
+85	L	P,R
+87	T	M
+88	S	*
+90	I	S
+94	F	P,*
+95	Y	*
+96	K	Q,*,E,T,N
+97	G	S,D
+99	Y	*
+102	A	*,T,V
+103	Y	H,C,*,S
+104	S	R,*
+107	G	K
+114	T	P,*
+116	L	R,V
+118	N	T
+119	W	R,*,C
+120	L	P
+121	R	P
+125	V	D,G
+128	V	*,G
+130	V	*,G
+132	G	S,*,D
+133	I	T,N
+134	A	*,V
+135	T	P,*
+136	D	Y,H,*,G,N
+137	H	P,R
+138	C	Y,S,*
+139	V	A,*,M,L,G
+140	R	S,*
+141	Q	P,*
+142	T	A,P,K,*,M
+146	A	T,V
+148	R	S,*
+153	T	N
+154	R	G
+155	V	A,*,G
+159	L	P,R
+160	T	P,*
+161	A	P
+162	G	D
+168	T	N
+171	A	P,*,E,T,V
+172	L	A,P,*
+175	M	V
+179	S	R
+180	V	F
+181	E	D
+182	L	S
+185	S	I,T
+
+%Ethionamide
+>Rv1483
+-17	G	T
+-15	C	T
+>Rv1484
+94	S	A
+95	I	P
+>Rv3854c
+43	G	C,S
+51	P	L
+55	D	A
+58	D	A
+84	Y	D
+186	T	K
+223	E	K
+246	Q	*
+338	I	S
+342	T	K
+381	A	P
+385	G	D
+392	T	A
+413	G	D
+463	R	S
+
+%Ethambutol
+>Rv0341
+-89	C	T
+47	A	T
+>Rv0340
+173	T	M
+>Rv0343
+248	P	A
+351	Q	*
+>Rv0342
+308	G	R
+501	S	W
+>Rv3793
+5	G	S
+244	A	T
+247	A	P
+251	L	R
+254	A	G
+270	T	I
+272	G	S
+285	H	Y
+287	V	F
+288	G	W,V
+296	Y	H,S
+297	I	T,L
+300	M	R
+302	R	G
+303	V	G
+307	A	T
+308	G	D
+309	Y	N
+310	M	K
+325	G	S
+326	W	R
+327	Y	N
+394	N	D
+738	R	Q
+981	V	L
+>Rv3795
+128	V	G
+221	A	G
+225	A	S
+227	V	G
+239	L	P
+240	D	H
+257	R	W
+271	A	V
+272	S	I,C
+274	R	P
+282	V	L,G
+285	F	L
+287	F	C,V
+293	I	N
+294	G	S
+296	N	K
+297	S	A,L
+299	D	E
+306	M	I,V,L,T
+309	V	G
+310	A	R
+311	D	H,R
+312	H	R
+314	G	A,E
+315	Y	L
+317	S	T
+318	N	H,S,K
+319	Y	C,S,N
+322	Y	C
+328	D	Y,*,G,V
+330	F	V
+332	W	L
+333	Y	H
+334	Y	H
+347	S	I,T
+356	A	S,F,V
+357	A	S,V
+358	G	V
+359	L	I
+360	V	M
+366	S	P
+367	R	P
+368	E	Q,A,D
+369	V	A,L
+370	L	R
+371	P	R
+374	G	V
+375	P	A
+377	V	M,G
+378	E	A,K
+379	A	T,D
+380	S	R,D
+384	Y	N
+388	A	G
+395	W	C,R
+397	P	Q,T
+398	F	Y,H
+399	N	H,D
+400	N	P,K
+401	G	S
+405	E	P
+406	G	A,P,S,C,D
+423	M	I
+430	P	L
+431	A	T
+434	R	G
+435	V	G
+436	V	G
+437	T	A
+446	P	H
+448	G	V
+452	V	L
+459	G	A
+460	R	C,L
+461	P	S
+465	I	D
+469	R	P
+471	R	P
+497	Q	K,R
+630	T	I
+659	A	T
+745	G	D
+959	D	A
+1000	M	R
+1024	D	N
+>Rv3794
+-16	C	T
+-12	C	T
+-11	C	A
+4	D	N
+201	A	T
+321	G	S
+350	G	D
+462	A	V
+833	D	A
+913	P	S
+>Rv3124
+-16	A	G
+>Rv3125
+54	P	S
+>Rv3126
+276	L	R
+>Rv3264c
+152	D	N
+>Rv1267c
+7	V	G
+32	T	P
+53	D	H
+110	C	Y
+172	L	R
+176	A	V
+186	R	G
+187	A	V
+188	S	R
+200	E	A
+211	L	M
+223	D	E
+230	R	W
+240	G	R
+292	L	M
+303	L	E
+320	L	V
+326	S	N
+350	V	G
+351	H	E
+356	R	G
+369	I	T
+379	Q	R
+396	I	T
+>Rv3266c
+-71	G	T
+257	S	P
+284	T	K
+
+%Levofloxacin
+>Rv0006
+74	A	S
+80	T	A
+88	G	A
+89	D	N
+90	A	G,V
+91	S	P
+94	D	A,G,F,H,N,V,Y
+95	S	T
+102	P	H
+109	L	V
+>Rv0005
+457	R	C
+458	S	F
+472	D	A,H,N
+481	G	A
+505	D	A
+511	T	P
+512	E	D,V
+515	A	T,V
+549	Q	H
+
+%Kanamycin
+>Rv1694
+3	R	*
+14	R	W
+18	R	*
+22	Q	*
+67	A	E
+69	K	E
+91	A	E
+118	L	P
+128	V	E
+150	L	P
+183	P	L
+184	Q	*
+185	F	L
+236	N	K
+238	E	K
+>Rvnr01
+1401	A	G
+1402	C	A,T
+1484	G	T
+
+%Streptomycin
+>Rv3919c
+16	L	R
+40	E	*
+45	W	C
+47	R	Q
+55	I	S
+67	D	H
+70	S	R
+71	G	V
+75	P	A
+92	E	D
+103	E	*
+125	Q	*
+127	Q	P
+134	A	E
+138	A	E
+148	W	R
+183	A	E
+188	V	G
+200	A	E
+>Rv0682
+9	R	H
+40	T	I
+41	T	S
+43	K	R,T
+51	K	N
+52	V	G
+84	G	V
+86	R	P,W
+87	V	L
+88	K	Q,R,M,T
+93	V	M
+>Rvnr01
+190	G	A
+427	G	C,T
+462	C	T
+492	C	T
+513	C	T
+514	A	C,T
+517	C	T
+628	G	C
+799	C	T
+866	C	G
+888	G	A
+905	C	A,G
+906	A	G
+907	A	C,T
+908	A	G
+1239	T	C
+1401	A	G
+
+%Ofloxacin
+>Rv0006
+74	A	S
+80	T	A
+88	G	A
+89	D	N
+90	A	G,V
+91	S	P
+94	D	A,G,F,H,N,V,Y
+95	S	T
+102	P	H
+109	L	V
+>Rv0005
+457	R	C
+458	S	F
+472	D	A,H,N
+481	G	A
+505	D	A
+511	T	P
+512	E	D,V
+515	A	T,V
+549	Q	H
+
diff --git a/datasets/mtu_broad/gold/gold_assocs_H.txt b/datasets/mtu_broad/gold/gold_assocs_H.txt
new file mode 100644
index 0000000..177b86e
--- /dev/null
+++ b/datasets/mtu_broad/gold/gold_assocs_H.txt
@@ -0,0 +1,115 @@
+%Fluoroquinolones
+>gyrA	Rv0006
+90	A	V
+91	S	P
+94	D	A,G,H,N,Y
+102	P	H
+126	A	R
+>gyrB	Rv0005
+538	N	D
+
+%Ethambutol	
+>embB	Rv3795	
+306	M	I,L,V
+406	G	D,S
+497	Q	R
+
+%Isoniazid
+>ahpC	Rv2428
+-46	G	A
+-39	C	T
+21	I	T
+
+>fabG1-inhA	Rv1483
+-15	C	T
+-8	T	A,C
+
+>kasA	Rv2245
+269	G	S
+
+>katG	Rv1908c
+279	G	D
+315	S	I,N,R,T
+
+%Pyrazinamide
+>pncA	Rv2043c
+-11	A	G
+7	V	G
+10	Q	P
+12	D	A
+14	C	R
+17	G	D
+19	L	P
+21	V	G
+24	X	*
+26	X	*
+34	Y	S
+35	L	R
+41	Y	*
+44	X	*
+46	A	V
+47	T	A
+51	H	P
+51	H	R
+54	P	T
+57	H	Y
+58	X	*
+61	X	*
+63	D	G
+66	S	P
+67	S	P
+68	W	G,L,R
+71	H	R
+72	C	R
+76	T	P
+82	H	R
+85	L	P
+96	K	N
+97	G	S
+99	Y	*
+102	A	V
+103	Y	*
+104	S	R
+105	X	*
+114	T	P
+116	L	R
+121	R	P
+128	V	G
+130	V	G,*
+134	A	V
+137	H	R
+138	C	Y
+139	V	A,L,M
+140	R	S
+141	Q	P
+142	T	K
+149	X	*
+155	V	G
+159	L	P
+160	T	P
+161	A	P
+162	G	D
+171	A	E
+172	L	P
+185	S	T
+
+%Rifampicin
+>rpoB	Rv0667
+435	D	V,Y
+441	S	L
+445	H	D,L,N,R,Y
+450	S	L,W
+452	L	P
+
+%Streptomycin
+>rpsL	Rv0682
+43	K	R
+88	K	Q,R
+
+>rrs	Rvnr01	
+492	C	T
+513	C	T
+514	A	C,T
+517	C	T
+907	A	C
+
diff --git a/datasets/mtu_broad/input/cluster_gene_ref_ids.txt b/datasets/mtu_broad/input/cluster_gene_ref_ids.txt
new file mode 100644
index 0000000..5892f02
--- /dev/null
+++ b/datasets/mtu_broad/input/cluster_gene_ref_ids.txt
@@ -0,0 +1,4016 @@
+cluster_id	gene_name	H37Rv	H37Ra
+1818	dnaA	Rv0001	MRA_0001
+3541	dnaN	Rv0002	MRA_0002
+2001	recF	Rv0003	MRA_0003
+903	x	Rv0004	MRA_0004
+1084	gyrB	Rv0005	MRA_0005
+2279	gyrA	Rv0006	MRA_0006
+674	x	Rv0007	MRA_0007
+2956	x	Rv0008c	MRA_0008
+4123	ppiA	Rv0009	MRA_0009
+980	x	Rv0010c	MRA_0010
+2433	x	Rv0011c	MRA_0013
+2624	x	Rv0012	MRA_0014
+2080	trpG	Rv0013	MRA_0015
+3026	pknB	Rv0014c	MRA_0016
+847	pknA	Rv0015c	MRA_0017
+1152	pbpA	Rv0016c	MRA_0018
+1766	rodA	Rv0017c	MRA_0019
+3575	ppp	Rv0018c	MRA_0020
+5807	x	Rv0019c	MRA_0021
+655	TB39.8	Rv0020c	MRA_0022
+796	x	Rv0021c	MRA_0023
+5789	whiB5	Rv0022c	MRA_0025
+2652	x	Rv0023	MRA_0026
+6387	x	Rv0024	MRA_0027
+4525	x	Rv0025	MRA_0028
+781	x	Rv0026	MRA_0029
+6127	x	Rv0027	MRA_0030
+1463	x	Rv0028	MRA_0031
+3194	x	Rv0029	MRA_0032
+3222	x	Rv0030	MRA_0033
+5971	x	Rv0031	MRA_0034
+217	bioF2	Rv0032	MRA_0035
+5151	acpA	Rv0033	MRA_0036
+1694	x	Rv0034	MRA_0037
+307	fadD34	Rv0035	MRA_0038
+2895	x	Rv0036c	MRA_0039
+396	x	Rv0037c	MRA_0040
+4010	x	Rv0038	MRA_0041
+2911	x	Rv0039c	MRA_0042
+2325	mtc28	Rv0040c	MRA_0043
+1159	leuS	Rv0041	MRA_0044
+2177	x	Rv0042c	MRA_0045
+457	x	Rv0043c	MRA_0046
+488	x	Rv0044c	MRA_0047
+2104	x	Rv0045c	MRA_0048
+1689	ino1	Rv0046c	MRA_0049
+2259	x	Rv0047c	MRA_0050
+4509	x	Rv0048c	MRA_0051
+6581	x	Rv0049	MRA_0052
+323	ponA1	Rv0050	MRA_0053
+3703	x	Rv0051	MRA_0054
+1784	x	Rv0052	MRA_0055
+972	rpsF	Rv0053	MRA_0056
+5981	ssb	Rv0054	MRA_0057
+6030	rpsR	Rv0055	MRA_0058
+562	rplI	Rv0056	MRA_0059
+4856	x	Rv0057	MRA_0059A
+47	dnaB	Rv0058	MRA_0060
+3904	x	Rv0059	MRA_0061
+842	x	Rv0060	MRA_0062
+7312	x	Rv0061	MRA_0063
+1096	celA1	Rv0062	MRA_0064
+32	mitR	Rv0063	MRA_0065
+2185	x	Rv0064	MRA_0066
+1888	x	Rv0065	MRA_0067
+2546	icd2	Rv0066c	MRA_0068
+724	x	Rv0067c	MRA_0069
+4310	x	Rv0068	MRA_0070
+1085	sdaA	Rv0069c	MRA_0071
+3379	glyA	Rv0070c	MRA_0072
+2479	x	Rv0071	MRA_0073
+6029	x	Rv0072	MRA_0074
+3040	glnQ1	Rv0073	MRA_0075
+1336	x	Rv0074	MRA_0076
+3190	x	Rv0075	MRA_0077
+2607	x	Rv0076c	MRA_0078
+3564	x	Rv0077c	MRA_0079
+3850	x	Rv0078	MRA_0080
+646	x	Rv0078A	MRA_0081
+6006	x	Rv0079	MRA_0083
+649	x	Rv0080	MRA_0084
+4726	x	Rv0081	MRA_0085
+3981	x	Rv0082	MRA_0086
+3129	x	Rv0083	MRA_0087
+5919	hycD	Rv0084	MRA_0088
+4212	hycP	Rv0085	MRA_0089
+4914	hycQ	Rv0086	MRA_0090
+1499	hycE	Rv0087	MRA_0091
+4066	x	Rv0088	MRA_0092
+1006	x	Rv0089	MRA_0093
+1271	x	Rv0090	MRA_0094
+5714	mtn	Rv0091	MRA_0095
+204	ctpA	Rv0092	MRA_0096
+5121	x	Rv0093c	MRA_0097
+2216	x	Rv0095c	MRA_0099
+1206	PPE1	Rv0096	MRA_0100
+954	x	Rv0097	MRA_0101
+5829	x	Rv0098	MRA_0102
+4730	fadD10	Rv0099	MRA_0103
+4664	x	Rv0100	MRA_0104
+389	nrp	Rv0101	MRA_0106
+2051	x	Rv0102	MRA_0107
+1910	ctpB	Rv0103c	MRA_0108
+4789	x	Rv0104	MRA_0109
+379	rpmB	Rv0105c	MRA_0110
+5828	x	Rv0106	MRA_0111
+1169	ctpI	Rv0107c	MRA_0112
+2917	x	Rv0108c	MRA_0114
+771	PE_PGRS1	Rv0109	MRA_0115
+3091	x	Rv0110	MRA_0116
+1098	x	Rv0111	MRA_0117
+623	gca	Rv0112	MRA_0118
+5612	gmhA	Rv0113	MRA_0119
+2360	gmhB	Rv0114	MRA_0120
+1482	hddA	Rv0115	MRA_0121
+3647	x	Rv0116c	MRA_0123
+5111	oxyS	Rv0117	MRA_0124
+2033	oxcA	Rv0118c	MRA_0125
+1587	fadD7	Rv0119	MRA_0126
+3568	fusA2	Rv0120c	MRA_0127
+1208	x	Rv0121c	MRA_0128
+226	x	Rv0122	MRA_0129
+2846	x	Rv0123	MRA_0130
+1518	PE_PGRS2	Rv0124	MRA_0131
+5982	pepA	Rv0125	MRA_0132
+64	treS	Rv0126	MRA_0133
+2921	pep2	Rv0127	MRA_0134
+3814	x	Rv0128	MRA_0135
+5727	fbpC	Rv0129c	MRA_0136
+7433	x	Rv0130	MRA_0137
+5818	fadE1	Rv0131c	MRA_0138
+3561	fgd2	Rv0132c	MRA_0139
+1745	x	Rv0133	MRA_0140
+4200	ephF	Rv0134	MRA_0141
+3528	x	Rv0135c	MRA_0142
+1871	cyp138	Rv0136	MRA_0143
+1506	msrA	Rv0137c	MRA_0144
+1643	x	Rv0138	MRA_0145
+148	x	Rv0139	MRA_0146
+5005	x	Rv0140	MRA_0147
+3237	x	Rv0141c	MRA_0148
+5979	x	Rv0142	MRA_0149
+3295	x	Rv0143c	MRA_0150
+3322	x	Rv0144	MRA_0151
+2274	x	Rv0145	MRA_0152
+983	x	Rv0146	MRA_0153
+1407	x	Rv0147	MRA_0154
+4450	x	Rv0148	MRA_0155
+4339	x	Rv0149	MRA_0156
+2262	x	Rv0150c	MRA_0157
+3731	PE1	Rv0151c	MRA_0158
+3622	PE2	Rv0152c	MRA_0159
+5236	ptbB	Rv0153c	MRA_0161
+1680	fadE2	Rv0154c	MRA_0162
+3267	pntAa	Rv0155	MRA_0163
+5744	pntAb	Rv0156	MRA_0164
+6509	pntB	Rv0157	MRA_0165
+2396	x	Rv0158	MRA_0166
+1692	PE3	Rv0159c	MRA_0167
+770	PE4	Rv0160c	MRA_0168
+6	x	Rv0161	MRA_0169
+1072	adhE1	Rv0162c	MRA_0170
+2630	x	Rv0163	MRA_0171
+428	TB18.5	Rv0164	MRA_0172
+1045	x	Rv0165c	MRA_0173
+895	fadD5	Rv0166	MRA_0174
+3457	yrbE1A	Rv0167	MRA_0175
+1757	yrbE1B	Rv0168	MRA_0176
+3038	mce1A	Rv0169	MRA_0177
+2638	mce1B	Rv0170	MRA_0178
+1300	mce1C	Rv0171	MRA_0179
+2770	mce1D	Rv0172	MRA_0180
+2774	lprK	Rv0173	MRA_0181
+647	mce1F	Rv0174	MRA_0182
+359	x	Rv0175	MRA_0183
+3211	x	Rv0176	MRA_0184
+4643	x	Rv0177	MRA_0185
+4106	x	Rv0178	MRA_0186
+1462	lprO	Rv0179c	MRA_0187
+5413	x	Rv0180c	MRA_0188
+2116	x	Rv0181c	MRA_0189
+4116	sigG	Rv0182c	MRA_0190
+1143	x	Rv0183	MRA_0191
+3316	x	Rv0184	MRA_0192
+3273	x	Rv0185	MRA_0193
+3360	bglS	Rv0186	MRA_0194
+1835	x	Rv0187	MRA_0195
+5102	x	Rv0188	MRA_0196
+1201	ilvD	Rv0189c	MRA_0197
+1939	x	Rv0190	MRA_0198
+3385	x	Rv0191	MRA_0199
+1685	x	Rv0192	MRA_0200
+3148	x	Rv0192A	x
+609	x	Rv0193c	MRA_0201
+1319	x	Rv0194	MRA_0202
+1721	x	Rv0195	MRA_0203
+274	x	Rv0196	MRA_0204
+117	x	Rv0197	MRA_0205
+984	x	Rv0198c	MRA_0206
+1472	x	Rv0199	MRA_0207
+2320	x	Rv0200	MRA_0208
+1258	x	Rv0201c	MRA_0209
+2288	mmpL11	Rv0202c	MRA_0210
+128	x	Rv0203	MRA_0211
+2799	x	Rv0204c	MRA_0212
+113	x	Rv0205	MRA_0213
+1934	mmpL3	Rv0206c	MRA_0214
+3756	x	Rv0207c	MRA_0215
+1137	trmB	Rv0208c	MRA_0216
+5712	x	Rv0209	MRA_0217
+3292	x	Rv0210	MRA_0218
+4855	pckA	Rv0211	MRA_0219
+1713	nadR	Rv0212c	MRA_0220
+3262	x	Rv0213c	MRA_0221
+337	fadD4	Rv0214	MRA_0222
+1705	fadE3	Rv0215c	MRA_0223
+3023	x	Rv0216	MRA_0224
+2531	lipW	Rv0217c	MRA_0225
+716	x	Rv0218	MRA_0226
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+3258	lipC	Rv0220	MRA_0228
+115	x	Rv0221	MRA_0229
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+1731	x	Rv0223c	MRA_0231
+3534	x	Rv0224c	MRA_0232
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+528	x	Rv0227c	MRA_0235
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+71	fadE4	Rv0231	MRA_0239
+1697	x	Rv0232	MRA_0240
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+4649	x	Rv0249c	MRA_0258
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+4689	x	Rv0257	MRA_0265A
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+129	x	Rv0625c	MRA_0634
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+5308	x	Rv0627	MRA_0636
+5783	recD	Rv0629c	MRA_0638
+25	recB	Rv0630c	MRA_0639
+2249	recC	Rv0631c	MRA_0640
+2621	echA3	Rv0632c	MRA_0641
+2562	x	Rv0633c	MRA_0642
+6473	x	Rv0634A	MRA_0644
+4949	rpmG	Rv0634B	MRA_0645
+437	x	Rv0634c	MRA_0643
+394	x	Rv0635	MRA_0646
+2148	x	Rv0636	MRA_0647
+2710	x	Rv0637	x
+5849	secE	Rv0638	MRA_0649
+525	nusG	Rv0639	MRA_0650
+3588	rplK	Rv0640	MRA_0651
+357	rplA	Rv0641	MRA_0652
+751	mmaA4	Rv0642c	MRA_0653
+3639	mmaA3	Rv0643c	MRA_0654
+704	mmaA2	Rv0644c	MRA_0655
+299	mmaA1	Rv0645c	MRA_0656
+2109	lipG	Rv0646c	MRA_0657
+1560	x	Rv0647c	MRA_0658
+95	fabD2	Rv0648	MRA_0659
+1224	x	Rv0650	MRA_0661
+5254	rplJ	Rv0651	MRA_0662
+4688	rplL	Rv0652	MRA_0663
+3196	x	Rv0653c	MRA_0664
+2934	x	Rv0654	MRA_0665
+1378	mkl	Rv0655	MRA_0666
+3312	x	Rv0656c	MRA_0667
+7419	x	Rv0657c	MRA_0667A
+606	x	Rv0658c	MRA_0668
+1715	x	Rv0659c	MRA_0669
+729	x	Rv0660c	MRA_0670
+3199	x	Rv0661c	MRA_0671
+1127	x	Rv0662c	MRA_0672
+1399	atsD	Rv0663	MRA_0673
+7397	x	Rv0664	MRA_0673A
+6015	x	Rv0665	MRA_0674
+818	x	Rv0666	MRA_0675
+1382	rpoB	Rv0667	MRA_0676
+2264	rpoC	Rv0668	MRA_0677
+551	x	Rv0669c	MRA_0679
+4721	end	Rv0670	MRA_0680
+2362	lpqP	Rv0671	MRA_0681
+2606	fadE8	Rv0672	MRA_0682
+3242	echA4	Rv0673	MRA_0683
+5701	x	Rv0674	MRA_0684
+4891	echA5	Rv0675	MRA_0685
+1695	mmpL5	Rv0676c	MRA_0686
+7007	mmpS5	Rv0677c	MRA_0687
+4904	x	Rv0678	MRA_0687A
+3431	x	Rv0679c	MRA_0688
+5090	x	Rv0680c	MRA_0689
+1467	x	Rv0681	MRA_0690
+3166	rpsL	Rv0682	MRA_0691
+1265	rpsG	Rv0683	MRA_0692
+1341	fusA1	Rv0684	MRA_0693
+5211	tuf	Rv0685	MRA_0694
+5347	x	Rv0686	MRA_0695
+4136	fabG	Rv0687	MRA_0696
+897	x	Rv0688	MRA_0697
+5936	x	Rv0689c	MRA_0698
+3195	x	Rv0690c	MRA_0699
+1457	x	Rv0691c	MRA_0700
+931	x	Rv0692	MRA_0700A
+6875	pqqE	Rv0693	MRA_0701
+1970	lldD1	Rv0694	MRA_0702
+4312	x	Rv0695	MRA_0703
+3389	x	Rv0696	MRA_0704
+3876	x	Rv0697	MRA_0705
+2220	x	Rv0698	MRA_0706
+4925	x	Rv0699	MRA_0707
+6684	rpsJ	Rv0700	MRA_0708
+111	rplC	Rv0701	MRA_0709
+3718	rplD	Rv0702	MRA_0710
+6612	rplW	Rv0703	MRA_0711
+5540	rplB	Rv0704	MRA_0712
+1109	rpsS	Rv0705	MRA_0713
+5141	rplV	Rv0706	MRA_0714
+6247	rpsC	Rv0707	MRA_0715
+4475	rplP	Rv0708	MRA_0716
+3158	rpmC	Rv0709	MRA_0717
+4011	rpsQ	Rv0710	MRA_0718
+3438	atsA	Rv0711	MRA_0719
+3701	x	Rv0712	MRA_0720
+1978	x	Rv0713	MRA_0721
+3886	rplN	Rv0714	MRA_0722
+5309	rplX	Rv0715	MRA_0723
+4119	rplE	Rv0716	MRA_0724
+5856	rpsN	Rv0717	MRA_0725
+700	rpsH	Rv0718	MRA_0726
+2113	rplF	Rv0719	MRA_0727
+3447	rplR	Rv0720	MRA_0728
+3404	rpsE	Rv0721	MRA_0729
+6162	rpmD	Rv0722	MRA_0730
+1066	rplO	Rv0723	MRA_0731
+200	sppA	Rv0724	MRA_0732
+3691	x	Rv0725c	MRA_0733
+2373	x	Rv0726c	MRA_0734
+3206	fucA	Rv0727c	MRA_0735
+3612	serA2	Rv0728c	MRA_0736
+3409	xylB	Rv0729	MRA_0737
+4267	x	Rv0730	MRA_0738
+1187	x	Rv0731c	MRA_0739
+4519	secY	Rv0732	MRA_0740
+5574	adk	Rv0733	MRA_0741
+4492	mapA	Rv0734	MRA_0742
+5619	sigL	Rv0735	MRA_0743
+2352	x	Rv0736	MRA_0744
+375	x	Rv0737	MRA_0746
+3106	x	Rv0738	MRA_0747
+3867	x	Rv0739	MRA_0748
+864	x	Rv0741	MRA_0750
+1780	PE_PGRS8	Rv0742	MRA_0751
+6695	x	Rv0743c	MRA_0752
+4196	x	Rv0744c	MRA_0753
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+2549	PE_PGRS9	Rv0746	MRA_0754
+126	PE_PGRS10	Rv0747	MRA_0755
+2713	x	Rv0748	MRA_0756
+6158	x	Rv0749A	MRA_0758
+3275	x	Rv0750	MRA_0759
+2300	mmsB	Rv0751c	MRA_0760
+5885	fadE9	Rv0752c	MRA_0761
+1104	mmsA	Rv0753c	MRA_0762
+1606	PE_PGRS11	Rv0754	MRA_0763
+3218	x	Rv0755A	MRA_0765
+1351	PPE12	Rv0755c	MRA_0764
+3750	x	Rv0756c	MRA_0766
+2150	phoP	Rv0757	MRA_0767
+2789	phoR	Rv0758	MRA_0768
+1814	x	Rv0759c	MRA_0769
+5977	x	Rv0760c	MRA_0770
+28	adhB	Rv0761c	MRA_0771
+6763	x	Rv0762c	MRA_0771A
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+7265	x	Rv0765c	MRA_0774
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+3637	x	Rv0769	MRA_0778
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+1241	x	Rv0771	MRA_0780
+1184	purD	Rv0772	MRA_0781
+580	ggtA	Rv0773c	MRA_0782
+4811	x	Rv0774c	MRA_0783
+1778	x	Rv0775	MRA_0784
+1798	x	Rv0776c	MRA_0785
+2810	purB	Rv0777	MRA_0786
+3874	cyp126	Rv0778	MRA_0787
+3240	x	Rv0779c	MRA_0788
+5430	hemH	Rv0780	MRA_0789
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+3611	emrB	Rv0783c	MRA_0792
+815	x	Rv0784	MRA_0793
+2273	x	Rv0785	MRA_0794
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+4064	x	Rv0787	MRA_0796
+4717	purS	Rv0787A	MRA_0797
+3492	purQ	Rv0788	MRA_0798
+3478	x	Rv0789c	MRA_0799
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+5310	x	Rv0799c	MRA_0809
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+4814	x	Rv0807	MRA_0817
+1026	purF	Rv0808	MRA_0818
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+4840	x	Rv0813c	MRA_0823
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+1551	x	Rv0817c	MRA_0827
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+1314	x	Rv0841	MRA_0849
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+1036	x	Rv0843	MRA_0851
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+7266	x	Rv1052	MRA_1061
+5759	x	Rv1053c	MRA_1062
+4405	x	Rv1054	MRA_1063
+4013	x	Rv1055	MRA_1064
+4780	x	Rv1056	MRA_1065
+328	x	Rv1057	MRA_1067
+2534	fadD14	Rv1058	MRA_1068
+1806	x	Rv1059	MRA_1069
+1411	x	Rv1060	MRA_1070
+5645	x	Rv1061	MRA_1071
+3105	x	Rv1062	MRA_1072
+1413	x	Rv1063c	MRA_1073
+4099	lpqV	Rv1064c	MRA_1074
+5923	x	Rv1065	MRA_1075
+1832	x	Rv1066	MRA_1076
+132	PE_PGRS19	Rv1067c	MRA_1077
+2390	PE_PGRS20	Rv1068c	MRA_1078
+1167	x	Rv1069c	MRA_1079
+2951	echA8	Rv1070c	MRA_1080
+3768	echA9	Rv1071c	MRA_1081
+7039	x	Rv1072	MRA_1082
+1848	x	Rv1073	MRA_1083
+3439	fadA3	Rv1074c	MRA_1084
+1227	x	Rv1075c	MRA_1085
+2554	lipU	Rv1076	MRA_1086
+559	cbs	Rv1077	MRA_1087
+1418	pra	Rv1078	MRA_1088
+3462	metB	Rv1079	MRA_1089
+2800	greA	Rv1080c	MRA_1090
+2251	x	Rv1081c	MRA_1091
+2660	mca	Rv1082	MRA_1092
+3285	x	Rv1083	MRA_1093
+3828	x	Rv1084	MRA_1094
+4079	x	Rv1085c	MRA_1095
+4581	uppS-1	Rv1086	MRA_1096
+5734	PE_PGRS21	Rv1087	MRA_1097
+4906	x	Rv1087A	MRA_1098
+6993	PE9	Rv1088	MRA_1099
+5015	celA2a	Rv1089A	MRA_1100
+3334	celA2b	Rv1090	MRA_1101
+3679	PE_PGRS22	Rv1091	x
+1637	coaA	Rv1092c	MRA_1103
+1025	glyA	Rv1093	MRA_1104
+2439	desA2	Rv1094	MRA_1105
+2563	phoH2	Rv1095	MRA_1106
+1498	x	Rv1096	MRA_1107
+608	x	Rv1097c	MRA_1108
+4089	fumC	Rv1098c	MRA_1109
+3910	glpX	Rv1099c	MRA_1110
+267	x	Rv1100	MRA_1111
+866	x	Rv1101c	MRA_1112
+3261	x	Rv1102c	MRA_1113
+280	x	Rv1103c	MRA_1114
+4452	x	Rv1104	MRA_1115
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+4555	x	Rv1106c	MRA_1117
+143	xseB	Rv1107c	MRA_1118
+531	xseA	Rv1108c	MRA_1119
+145	x	Rv1109c	MRA_1120
+6433	ispH	Rv1110	MRA_1121
+545	x	Rv1111c	MRA_1122
+4210	x	Rv1112	MRA_1123
+5486	x	Rv1113	MRA_1123A
+4602	x	Rv1114	MRA_1124
+2823	x	Rv1115	MRA_1125
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+2721	x	Rv1116A	MRA_1126
+296	x	Rv1117	MRA_1127
+1388	x	Rv1118c	MRA_1128
+5451	x	Rv1119c	MRA_1128A
+543	x	Rv1120c	MRA_1129
+2399	zwf1	Rv1121	MRA_1130
+445	gnd2	Rv1122	MRA_1131
+2671	bpoB	Rv1123c	MRA_1132
+5004	ephC	Rv1124	MRA_1133
+2355	x	Rv1125	MRA_1134
+1822	x	Rv1126c	MRA_1135
+2491	ppdK	Rv1127c	MRA_1136
+1734	x	Rv1128c	MRA_1137
+1902	x	Rv1129c	MRA_1138
+3028	x	Rv1130	MRA_1139
+456	gltA1	Rv1131	MRA_1140
+301	x	Rv1132	MRA_1141
+917	metE	Rv1133c	MRA_1142
+3702	x	Rv1134	MRA_1143
+338	x	Rv1135A	MRA_1145
+4444	PPE16	Rv1135c	MRA_1144
+2822	x	Rv1136	MRA_1146
+6432	x	Rv1137c	x
+5787	x	Rv1138c	MRA_1148
+2304	x	Rv1139c	MRA_1149
+4191	x	Rv1140	MRA_1150
+2903	echA11	Rv1141c	MRA_1151
+4585	echA10	Rv1142c	MRA_1152
+5604	mcr	Rv1143	MRA_1153
+7258	x	Rv1144	MRA_1154
+1868	mmpL13a	Rv1145	MRA_1155
+544	mmpL13b	Rv1146	MRA_1156
+2705	x	Rv1147	MRA_1157
+1687	x	Rv1148c	MRA_1158
+3428	x	Rv1151c	MRA_1161
+1914	x	Rv1152	MRA_1162
+478	omt	Rv1153c	MRA_1163
+1397	x	Rv1154c	MRA_1164
+2560	x	Rv1155	MRA_1165
+6317	x	Rv1156	MRA_1166
+4738	x	Rv1157c	MRA_1167
+3302	x	Rv1158c	MRA_1168
+1539	pimE	Rv1159	MRA_1169
+3699	phhB	Rv1159A	MRA_1170
+2456	mutT2	Rv1160	MRA_1171
+1519	narG	Rv1161	MRA_1172
+654	narH	Rv1162	MRA_1173
+1911	narJ	Rv1163	MRA_1174
+3713	narI	Rv1164	MRA_1175
+2492	typA	Rv1165	MRA_1176
+2703	lpqW	Rv1166	MRA_1177
+6053	x	Rv1167c	MRA_1178
+5204	PPE17	Rv1168c	MRA_1179
+1996	PE11	Rv1169c	MRA_1180
+2009	mshB	Rv1170	MRA_1181
+3587	x	Rv1171	MRA_1182
+2102	PE12	Rv1172c	MRA_1183
+2564	fbiC	Rv1173	MRA_1184
+6244	TB8.4	Rv1174c	MRA_1185
+446	fadH	Rv1175c	MRA_1186
+5585	x	Rv1176c	MRA_1187
+4870	fdxC	Rv1177	MRA_1188
+3097	x	Rv1178	MRA_1189
+1595	x	Rv1179c	MRA_1190
+6057	pks3	Rv1180	x
+191	pks4	Rv1181	MRA_1191
+2573	papA3	Rv1182	MRA_1192
+1509	mmpL10	Rv1183	MRA_1193
+51	x	Rv1184c	MRA_1194
+3745	fadD21	Rv1185c	MRA_1195
+1663	x	Rv1186c	MRA_1196
+713	rocA	Rv1187	MRA_1197
+6285	x	Rv1188	MRA_1198
+1195	sigI	Rv1189	MRA_1199
+2208	x	Rv1190	MRA_1200
+5129	x	Rv1191	MRA_1201
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+4020	x	Rv1194c	MRA_1204
+637	PE13	Rv1195	MRA_1205
+215	esxP	Rv1197	MRA_1046
+373	x	Rv1200	MRA_1209
+1289	x	Rv1201c	MRA_1210
+4218	dapE	Rv1202	MRA_1211
+213	x	Rv1203c	MRA_1212
+2432	x	Rv1204c	MRA_1213
+6719	x	Rv1205	MRA_1214
+5503	fadD6	Rv1206	MRA_1215
+2650	folP2	Rv1207	MRA_1216
+6696	x	Rv1208	MRA_1217
+3305	x	Rv1209	MRA_1218
+2086	tagA	Rv1210	MRA_1219
+2726	x	Rv1211	MRA_1220
+4406	glgA	Rv1212c	MRA_1221
+1401	glgC	Rv1213	MRA_1222
+1824	PE14	Rv1214c	MRA_1223
+558	x	Rv1215c	MRA_1224
+1207	x	Rv1216c	MRA_1225
+468	x	Rv1217c	MRA_1226
+325	x	Rv1218c	MRA_1227
+3574	x	Rv1219c	MRA_1228
+5531	x	Rv1220c	MRA_1229
+1359	sigE	Rv1221	MRA_1230
+356	x	Rv1222	MRA_1231
+645	htrA	Rv1223	MRA_1232
+1882	tatB	Rv1224	MRA_1233
+4239	x	Rv1225c	MRA_1234
+889	x	Rv1226c	MRA_1235
+4057	x	Rv1227c	MRA_1236
+7196	lpqX	Rv1228	MRA_1237
+5442	mrp	Rv1229c	MRA_1238
+426	x	Rv1230c	MRA_1239
+1529	x	Rv1231c	MRA_1240
+2526	x	Rv1232c	MRA_1241
+5537	x	Rv1233c	MRA_1242
+3533	x	Rv1234	MRA_1243
+1614	lpqY	Rv1235	MRA_1244
+5523	sugA	Rv1236	MRA_1245
+2266	sugB	Rv1237	MRA_1246
+5976	sugC	Rv1238	MRA_1247
+1375	corA	Rv1239c	MRA_1248
+3765	mdh	Rv1240	MRA_1249
+5107	x	Rv1241	MRA_1250
+1912	x	Rv1242	MRA_1251
+1698	PE_PGRS23	Rv1243c	MRA_1252
+1368	lpqZ	Rv1244	MRA_1253
+5653	x	Rv1245c	MRA_1254
+1765	x	Rv1246c	MRA_1255
+7219	x	Rv1247c	MRA_1255A
+326	kgd	Rv1248c	MRA_1256
+1269	x	Rv1249c	MRA_1257
+3245	x	Rv1250	MRA_1258
+2585	x	Rv1251c	MRA_1259
+1944	lprE	Rv1252c	MRA_1260
+14	deaD	Rv1253	MRA_1261
+4238	x	Rv1254	MRA_1262
+3089	x	Rv1255c	MRA_1263
+2833	cyp130	Rv1256c	MRA_1264
+1652	x	Rv1257c	MRA_1265
+5812	tap	Rv1258c	MRA_1266
+1716	x	Rv1259	MRA_1267
+4466	x	Rv1260	MRA_1268
+4131	x	Rv1261c	MRA_1269
+912	x	Rv1262c	MRA_1270
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+4603	x	Rv1264	MRA_1272
+322	x	Rv1265	MRA_1273
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+4176	embR	Rv1267c	MRA_1275
+4760	x	Rv1268c	MRA_1276
+2106	x	Rv1269c	MRA_1277
+1703	lprA	Rv1270c	MRA_1278
+6062	x	Rv1271c	MRA_1279
+3325	x	Rv1272c	MRA_1280
+4718	x	Rv1273c	MRA_1281
+4040	lprB	Rv1274	MRA_1282
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+4333	oppA	Rv1280c	MRA_1288
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+4000	oppC	Rv1282c	MRA_1290
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+5852	x	Rv1284	MRA_1292
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+5644	x	Rv1287	MRA_1295
+735	x	Rv1288	MRA_1296
+6592	x	Rv1289	MRA_1297
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+4139	thrA	Rv1294	MRA_1302
+3800	thrC	Rv1295	MRA_1303
+2336	thrB	Rv1296	MRA_1304
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+2327	hemK	Rv1300	MRA_1308
+1797	x	Rv1301	MRA_1309
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+2716	atpE	Rv1305	MRA_1313
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+5728	atpH	Rv1307	MRA_1315
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+2130	atpD	Rv1310	MRA_1318
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+3628	tal	Rv1448c	MRA_1457
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+7237	trxB1	Rv1471	MRA_1480
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+5649	x	Rv1473	MRA_1482
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+1586	x	Rv1480	MRA_1490
+578	x	Rv1481	MRA_1491
+2547	x	Rv1482c	MRA_1492
+5838	fabG1	Rv1483	MRA_1493
+5793	inhA	Rv1484	MRA_1494
+4048	hemH	Rv1485	MRA_1495
+1844	x	Rv1486c	MRA_1495A
+5634	x	Rv1487	MRA_1496
+2434	x	Rv1488	MRA_1497
+2059	x	Rv1489	MRA_1498
+2682	x	Rv1489A	MRA_1499
+5316	x	Rv1490	MRA_1500
+3600	x	Rv1491c	MRA_1501
+685	mutA	Rv1492	MRA_1502
+5139	mutB	Rv1493	MRA_1503
+2609	x	Rv1494	MRA_1504
+436	x	Rv1495	MRA_1505
+4300	argK	Rv1496	MRA_1506
+717	lipL	Rv1497	MRA_1507
+5158	x	Rv1498A	MRA_1509
+4697	x	Rv1498c	MRA_1508
+1380	x	Rv1499	MRA_1510
+1629	x	Rv1500	MRA_1511
+828	x	Rv1501	MRA_1512
+336	x	Rv1502	MRA_1513
+1277	x	Rv1504c	MRA_1515
+3354	x	Rv1505c	MRA_1516
+439	x	Rv1506c	MRA_1517
+3614	x	Rv1507A	x
+4141	x	Rv1507c	MRA_1518
+4219	x	Rv1508A	MRA_1520
+825	x	Rv1508c	MRA_1519
+949	x	Rv1509	MRA_1521
+3	x	Rv1510	MRA_1522
+2818	gmdA	Rv1511	MRA_1523
+787	epiA	Rv1512	MRA_1524
+4330	x	Rv1513	MRA_1525
+1120	x	Rv1514c	MRA_1526
+461	x	Rv1515c	MRA_1527
+3398	x	Rv1516c	MRA_1528
+3307	x	Rv1517	MRA_1529
+92	x	Rv1518	MRA_1530
+4271	x	Rv1519	MRA_1531
+3126	x	Rv1520	MRA_1532
+3565	fadD25	Rv1521	MRA_1533
+2247	mmpL12	Rv1522c	MRA_1534
+1889	x	Rv1523	MRA_1535
+719	x	Rv1524	MRA_1536
+1121	wbbL2	Rv1525	MRA_1537
+1117	x	Rv1526c	MRA_1538
+277	pks5	Rv1527c	MRA_1539
+5433	papA4	Rv1528c	MRA_1540
+5323	fadD24	Rv1529	MRA_1541
+2868	adh	Rv1530	MRA_1542
+2077	x	Rv1531	MRA_1543
+1550	x	Rv1532c	MRA_1544
+1458	x	Rv1533	MRA_1545
+4746	x	Rv1534	MRA_1546
+7327	x	Rv1535	MRA_1547
+207	ileS	Rv1536	MRA_1548
+1800	dinX	Rv1537	MRA_1549
+2145	ansA	Rv1538c	MRA_1550
+1866	lspA	Rv1539	MRA_1551
+5124	x	Rv1540	MRA_1552
+2494	lprI	Rv1541c	MRA_1553
+3692	glbN	Rv1542c	MRA_1554
+2676	x	Rv1543	MRA_1555
+1942	x	Rv1544	MRA_1556
+4199	x	Rv1545	MRA_1557
+1754	x	Rv1546	MRA_1558
+721	dnaE	Rv1547	MRA_1559
+831	PPE21	Rv1548c	MRA_1560
+5420	fadD11.1	Rv1549	MRA_1561
+3496	fadD11	Rv1550	MRA_1562
+1122	plsB1	Rv1551	MRA_1563
+1919	frdA	Rv1552	MRA_1564
+1510	frdB	Rv1553	MRA_1565
+3877	frdC	Rv1554	MRA_1566
+6197	frdD	Rv1555	MRA_1567
+2775	x	Rv1556	MRA_1568
+1675	mmpL6	Rv1557	MRA_1569
+612	x	Rv1558	MRA_1570
+5412	ilvA	Rv1559	MRA_1571
+3013	x	Rv1560	MRA_1572
+3547	x	Rv1561	MRA_1573
+1034	treZ	Rv1562c	MRA_1574
+4472	treY	Rv1563c	MRA_1575
+1099	treX	Rv1564c	MRA_1576
+3102	x	Rv1565c	MRA_1577
+3297	x	Rv1566c	MRA_1578
+2694	x	Rv1567c	MRA_1579
+1291	bioA	Rv1568	MRA_1580
+4032	bioF1	Rv1569	MRA_1581
+1604	bioD	Rv1570	MRA_1582
+854	x	Rv1571	MRA_1583
+5372	x	Rv1572c	x
+4068	x	Rv1573	MRA_1584
+5777	x	Rv1574	MRA_1585
+2885	x	Rv1575	MRA_1586
+2020	x	Rv1576c	MRA_2680
+829	x	Rv1578c	MRA_1589
+7010	x	Rv1579c	MRA_1590
+4293	x	Rv1580c	MRA_1591
+4800	x	Rv1581c	MRA_1592
+3526	x	Rv1582c	MRA_1593
+1805	x	Rv1583c	MRA_1594
+4138	x	Rv1584c	MRA_1595
+1484	x	Rv1585c	MRA_1596
+4021	x	Rv1586c	MRA_1597
+869	x	Rv1587c	MRA_1598
+630	bioB	Rv1589	MRA_1599
+5583	x	Rv1590	MRA_1600
+69	x	Rv1591	MRA_1601
+2968	x	Rv1592c	MRA_1602
+1237	x	Rv1593c	MRA_1603
+4094	nadA	Rv1594	MRA_1604
+3891	nadB	Rv1595	MRA_1605
+2518	nadC	Rv1596	MRA_1606
+2431	x	Rv1597	MRA_1607
+3479	x	Rv1598c	MRA_1608
+3138	hisD	Rv1599	MRA_1609
+482	hisC1	Rv1600	MRA_1610
+6753	hisB	Rv1601	MRA_1611
+5171	hisH	Rv1602	MRA_1612
+2967	hisA	Rv1603	MRA_1613
+4520	impA	Rv1604	MRA_1614
+4166	hisF	Rv1605	MRA_1615
+4031	hisI	Rv1606	MRA_1616
+7286	chaA	Rv1607	MRA_1617
+4694	bcpB	Rv1608c	MRA_1618
+3973	trpE	Rv1609	MRA_1619
+4291	x	Rv1610	MRA_1620
+1578	trpC	Rv1611	MRA_1621
+725	trpB	Rv1612	MRA_1622
+1625	trpA	Rv1613	MRA_1623
+3393	lgt	Rv1614	MRA_1624
+703	x	Rv1615	MRA_1625
+2276	x	Rv1616	MRA_1626
+1020	pykA	Rv1617	MRA_1627
+214	tesB1	Rv1618	MRA_1628
+1813	x	Rv1619	MRA_1629
+1018	cydC	Rv1620c	MRA_1630
+7195	cydD	Rv1621c	MRA_1631
+8	cydB	Rv1622c	MRA_1632
+1288	cydA	Rv1623c	MRA_1633
+3042	x	Rv1624c	MRA_1634
+1202	cya	Rv1625c	MRA_1635
+2006	x	Rv1626	MRA_1636
+3529	x	Rv1627c	MRA_1637
+1602	x	Rv1628c	MRA_1638
+680	polA	Rv1629	MRA_1639
+2120	rpsA	Rv1630	MRA_1640
+5548	coaE	Rv1631	MRA_1641
+3147	x	Rv1632c	MRA_1642
+3615	uvrB	Rv1633	MRA_1643
+789	x	Rv1634	MRA_1644
+3975	x	Rv1635c	MRA_1645
+6484	TB15.3	Rv1636	MRA_1646
+4772	x	Rv1637c	MRA_1647
+1261	uvrA	Rv1638	MRA_1648
+2305	x	Rv1638A	MRA_1649
+366	x	Rv1639c	MRA_1650
+1183	lysS	Rv1640c	MRA_1651
+1906	infC	Rv1641	MRA_1652
+1451	rpmI	Rv1642	MRA_1653
+3914	rplT	Rv1643	MRA_1654
+3044	tsnR	Rv1644	MRA_1655
+3175	x	Rv1645c	MRA_1656
+2831	PE17	Rv1646	MRA_1657
+2869	x	Rv1647	MRA_1658
+1044	x	Rv1648	MRA_1659
+4047	pheS	Rv1649	MRA_1660
+2727	pheT	Rv1650	MRA_1661
+579	PE_PGRS30	Rv1651c	MRA_1662
+4839	argC	Rv1652	MRA_1663
+1156	argJ	Rv1653	MRA_1664
+4035	argB	Rv1654	MRA_1665
+4733	argD	Rv1655	MRA_1666
+81	argF	Rv1656	MRA_1667
+6351	argR	Rv1657	MRA_1668
+1668	argG	Rv1658	MRA_1669
+205	argH	Rv1659	MRA_1670
+1470	pks10	Rv1660	MRA_1671
+156	pks7	Rv1661	MRA_1672
+3813	pks8	Rv1662	MRA_1673
+2749	pks17	Rv1663	MRA_1674
+1419	pks9	Rv1664	MRA_1675
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+3377	cyp139	Rv1666c	MRA_1677
+185	x	Rv1667c	MRA_1678
+7107	x	Rv1668c	MRA_1679
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+6649	x	Rv1673c	MRA_1683
+4826	x	Rv1674c	MRA_1684
+1486	x	Rv1675c	MRA_1686
+2	x	Rv1676	MRA_1687
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+3459	x	Rv1678	MRA_1689
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+7449	x	Rv1693	MRA_1702A
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+5628	x	Rv1697	MRA_1706
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+1172	pyrG	Rv1699	MRA_1708
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+282	x	Rv1711	MRA_1721
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+3616	x	Rv1714	MRA_1724
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+3738	x	Rv1732c	MRA_1742
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+4257	x	Rv1914c	MRA_1925
+773	aceAa	Rv1915	MRA_1926
+2971	aceAb	Rv1916	MRA_1927
+1106	PPE34	Rv1917c	MRA_1928
+615	PPE35	Rv1918c	MRA_1929
+4434	x	Rv1919c	MRA_1930
+3954	x	Rv1920	MRA_1931
+4657	lppF	Rv1921c	MRA_1932
+2483	x	Rv1922	MRA_1933
+2389	lipD	Rv1923	MRA_1934
+1971	x	Rv1924c	MRA_1935
+904	fadD31	Rv1925	MRA_1936
+417	mpt63	Rv1926c	MRA_1937
+4830	x	Rv1927	MRA_1938
+4755	x	Rv1928c	MRA_1939
+1331	x	Rv1929c	MRA_1940
+665	x	Rv1930c	MRA_1940A
+4501	x	Rv1931c	MRA_1941
+4889	tpx	Rv1932	MRA_1942
+2806	fadE18	Rv1933c	MRA_1943
+2170	fadE17	Rv1934c	MRA_1944
+57	echA13	Rv1935c	MRA_1945
+112	x	Rv1936	MRA_1946
+1631	x	Rv1937	MRA_1947
+2550	ephB	Rv1938	MRA_1948
+5668	x	Rv1939	MRA_1949
+867	ribA1	Rv1940	MRA_1950
+7398	x	Rv1941	MRA_1951
+4775	x	Rv1942c	MRA_1952
+7115	x	Rv1943c	MRA_1953
+127	x	Rv1944c	MRA_1954
+619	lppG	Rv1946c	MRA_1956
+4834	x	Rv1947	MRA_1957
+5494	x	Rv1948c	MRA_1958
+52	x	Rv1950c	MRA_1960
+1536	x	Rv1951c	MRA_1961
+6375	x	Rv1952	MRA_1962
+3055	x	Rv1953	MRA_1963
+2639	x	Rv1954c	x
+2803	x	Rv1955	MRA_1964
+1834	x	Rv1956	MRA_1965
+1900	x	Rv1957	MRA_1966
+6423	x	Rv1958c	MRA_1967
+4535	parE	Rv1959c	MRA_1968
+6144	x	Rv1960c	MRA_1969
+6504	x	Rv1961	MRA_1970
+5504	x	Rv1962c	MRA_1971
+4523	mce3R	Rv1963c	MRA_1973
+2334	yrbE3A	Rv1964	MRA_1975
+1376	yrbE3B	Rv1965	MRA_1976
+2897	mce3A	Rv1966	MRA_1977
+1149	mce3B	Rv1967	MRA_1978
+1632	mce3C	Rv1968	MRA_1979
+3198	mce3D	Rv1969	MRA_1980
+2406	lprM	Rv1970	MRA_1981
+1244	mce3F	Rv1971	MRA_1982
+2881	x	Rv1972	MRA_1983
+1211	x	Rv1973	MRA_1984
+5119	x	Rv1974	MRA_1985
+3486	x	Rv1975	MRA_1986
+519	x	Rv1976c	MRA_1987
+4616	x	Rv1977	MRA_1988
+4720	x	Rv1978	MRA_1989
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+5817	nrdF1	Rv1981c	MRA_1992
+3427	x	Rv1982c	MRA_1993
+1335	PE_PGRS35	Rv1983	MRA_1995
+3502	cfp21	Rv1984c	MRA_1996
+2087	x	Rv1985c	MRA_1998
+3866	x	Rv1986	MRA_1999
+3449	x	Rv1987	MRA_2000
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+1923	x	Rv1989c	MRA_2003
+3311	x	Rv1990A	MRA_2005
+1450	x	Rv1990c	MRA_2004
+2932	x	Rv1991c	MRA_2006
+107	ctpG	Rv1992c	MRA_2008
+522	x	Rv1993c	MRA_2009
+2786	x	Rv1994c	MRA_2010
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+824	x	Rv1996	MRA_2012
+281	ctpF	Rv1997	MRA_2013
+786	x	Rv1998c	MRA_2014
+289	x	Rv1999c	MRA_2015
+397	x	Rv2000	MRA_2016
+1210	x	Rv2001	MRA_2017
+3530	fabG3	Rv2002	MRA_2018
+4909	x	Rv2003c	MRA_2019
+3489	x	Rv2004c	MRA_2020
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+5558	otsB1	Rv2006	MRA_2022
+5367	fdxA	Rv2007c	MRA_2023
+1420	x	Rv2008c	MRA_2024
+2791	x	Rv2009	MRA_2025
+7078	x	Rv2010	MRA_2026
+4982	x	Rv2011c	MRA_2027
+3149	x	Rv2012	MRA_2028
+5550	x	Rv2013	MRA_2029
+1324	x	Rv2014	MRA_2030
+3770	x	Rv2016	MRA_2032
+1732	x	Rv2017	MRA_2033
+640	x	Rv2018	MRA_2034
+3959	x	Rv2019	MRA_2035
+4217	x	Rv2020c	MRA_2036
+241	x	Rv2021c	MRA_2037
+2181	x	Rv2022c	MRA_2038
+3390	x	Rv2023c	MRA_2038A
+4606	x	Rv2024c	MRA_2039
+1540	x	Rv2025c	MRA_2040
+5242	x	Rv2026c	MRA_2041
+413	x	Rv2027c	MRA_2042
+780	x	Rv2028c	MRA_2043
+5187	pfkB	Rv2029c	MRA_2044
+224	x	Rv2030c	MRA_2045
+1881	hspX	Rv2031c	MRA_2046
+3522	acg	Rv2032	MRA_2047
+2701	x	Rv2033c	MRA_2048
+832	x	Rv2034	MRA_2049
+4433	x	Rv2035	MRA_2050
+934	x	Rv2036	MRA_2051
+2193	x	Rv2037c	MRA_2052
+2356	x	Rv2038c	MRA_2053
+2933	x	Rv2039c	MRA_2054
+762	x	Rv2040c	MRA_2055
+2714	x	Rv2041c	MRA_2056
+1349	x	Rv2042c	MRA_2057
+294	pncA	Rv2043c	MRA_2058
+5596	x	Rv2044c	MRA_2059
+1138	lipT	Rv2045c	MRA_2060
+3130	lppI	Rv2046	MRA_2061
+2128	x	Rv2047c	MRA_2062
+1702	pks12	Rv2048c	MRA_2063
+4947	x	Rv2049c	MRA_2064
+4623	x	Rv2050	MRA_2065
+94	ppm1	Rv2051c	MRA_2066
+953	x	Rv2052c	MRA_2067
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+3270	x	Rv2054	MRA_2069
+6576	rpsR	Rv2055c	MRA_2070
+6124	rpsN	Rv2056c	MRA_2071
+7388	rpmG	Rv2057c	MRA_2072
+5832	rpmB	Rv2058c	MRA_2073
+3583	x	Rv2059	MRA_2074
+6973	x	Rv2060	x
+1477	x	Rv2061c	MRA_2074A
+2744	cobN	Rv2062c	MRA_2075
+821	x	Rv2063	MRA_2076
+614	cobG	Rv2064	MRA_2078
+6201	cobH	Rv2065	MRA_2079
+431	cobI	Rv2066	MRA_2080
+5283	x	Rv2067c	MRA_2081
+4026	blaC	Rv2068c	MRA_2082
+5267	sigC	Rv2069	MRA_2083
+2198	cobK	Rv2070c	MRA_2084
+3759	cobM	Rv2071c	MRA_2085
+4455	cobL	Rv2072c	MRA_2086
+1752	x	Rv2073c	MRA_2087
+3725	x	Rv2074	MRA_2088
+575	x	Rv2075c	MRA_2089
+1433	x	Rv2076c	MRA_2090
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+90	lppJ	Rv2080	MRA_2094
+5500	x	Rv2081c	MRA_2096
+91	x	Rv2082	MRA_2098
+1144	x	Rv2083	MRA_2099
+6749	x	Rv2084	MRA_2100
+6772	x	Rv2085	MRA_2101
+4346	x	Rv2086	MRA_2102
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+1564	pknJ	Rv2088	MRA_2103
+46	pepE	Rv2089c	MRA_2104
+1709	x	Rv2090	MRA_2105
+2587	x	Rv2091c	MRA_2106
+690	helY	Rv2092c	MRA_2107
+1112	tatC	Rv2093c	MRA_2108
+1078	tatA	Rv2094c	MRA_2109
+2478	x	Rv2095c	MRA_2110
+2175	x	Rv2096c	MRA_2111
+1390	x	Rv2097c	MRA_2112
+415	x	Rv2100	MRA_2114
+1118	helZ	Rv2101	MRA_2115
+395	x	Rv2102	MRA_2116
+5742	x	Rv2103c	MRA_2117
+3931	x	Rv2104c	MRA_2118
+2878	PE22	Rv2107	MRA_2122
+2683	PPE36	Rv2108	MRA_2123
+3374	prcA	Rv2109c	MRA_2124
+2633	prcB	Rv2110c	MRA_2125
+1827	x	Rv2111c	MRA_2126
+137	x	Rv2112c	MRA_2127
+2532	x	Rv2113	MRA_2128
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+5572	x	Rv2117	MRA_2132
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+748	hisG	Rv2121c	MRA_2136
+5290	hisE	Rv2122c	MRA_2137
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+3781	x	Rv2125	MRA_2140
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+4034	x	Rv2128	MRA_2142
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+4318	cysS	Rv2130c	MRA_2144
+4642	cysQ	Rv2131c	MRA_2145
+6732	x	Rv2132	MRA_2146
+133	x	Rv2133c	MRA_2147
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+4044	x	Rv2135c	MRA_2149
+5247	uppP	Rv2136c	MRA_2150
+4499	x	Rv2137c	MRA_2151
+1311	lppL	Rv2138	MRA_2152
+315	pyrD	Rv2139	MRA_2153
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+3361	x	Rv2141c	MRA_2155
+2976	x	Rv2142c	MRA_2156
+6203	x	Rv2143	MRA_2158
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+1733	wag31	Rv2145c	MRA_2160
+2908	x	Rv2146c	MRA_2161
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+56	x	Rv2148c	MRA_2163
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+2446	ftsQ	Rv2151c	MRA_2166
+629	murC	Rv2152c	MRA_2167
+2740	murG	Rv2153c	MRA_2168
+48	ftsW	Rv2154c	MRA_2169
+1150	murD	Rv2155c	MRA_2170
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+4757	x	Rv2159c	MRA_2174
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+5327	x	Rv2160c	MRA_2175
+4036	x	Rv2161c	MRA_2176
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+1320	pbpB	Rv2163c	MRA_2178
+2742	x	Rv2164c	MRA_2179
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+7430	x	Rv2166c	MRA_2181
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+3248	aroG	Rv2178c	MRA_2193
+7165	x	Rv2179c	MRA_2194
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+4600	x	Rv2182c	MRA_2197
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+4544	x	Rv2186c	MRA_2201
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+6985	x	Rv2358	MRA_2382
+3050	furB	Rv2359	MRA_2383
+5404	x	Rv2360c	MRA_2384
+2973	uppS-2	Rv2361c	MRA_2385
+2090	recO	Rv2362c	MRA_2386
+688	amiA2	Rv2363	MRA_2387
+2131	era	Rv2364c	MRA_2388
+5837	x	Rv2365c	MRA_2389
+2657	x	Rv2366c	MRA_2390
+140	x	Rv2367c	MRA_2391
+740	phoH1	Rv2368c	MRA_2392
+7352	x	Rv2369c	MRA_2392A
+2963	x	Rv2370c	MRA_2393
+2584	PE_PGRS40	Rv2371	MRA_2394
+507	x	Rv2372c	MRA_2395
+4935	dnaJ2	Rv2373c	MRA_2396
+3269	hrcA	Rv2374c	MRA_2397
+7110	x	Rv2375	MRA_2398
+4967	cfp2	Rv2376c	MRA_2399
+6269	mbtH	Rv2377c	MRA_2400
+7253	mbtG	Rv2378c	MRA_2401
+96	mbtF	Rv2379c	MRA_2402
+1246	mbtE	Rv2380c	MRA_2403
+5710	mbtD	Rv2381c	MRA_2404
+944	mbtC	Rv2382c	MRA_2405
+254	mbtB	Rv2383c	MRA_2406
+4480	mbtA	Rv2384	MRA_2407
+4610	mbtJ	Rv2385	MRA_2408
+4853	mbtI	Rv2386c	MRA_2409
+5108	x	Rv2387	MRA_2411
+3965	hemN	Rv2388c	MRA_2412
+2160	rpfD	Rv2389c	MRA_2413
+745	x	Rv2390c	MRA_2414
+669	nirA	Rv2391	MRA_2415
+3159	cysH	Rv2392	MRA_2416
+2412	x	Rv2393	MRA_2417
+1742	ggtB	Rv2394	MRA_2418
+3143	x	Rv2395	MRA_2419
+1221	PE_PGRS41	Rv2396	MRA_2420
+1392	cysA1	Rv2397c	MRA_2421
+4072	cysW	Rv2398c	MRA_2422
+5876	cysT	Rv2399c	MRA_2423
+4117	subI	Rv2400c	MRA_2424
+3238	x	Rv2401	x
+6284	x	Rv2401A	MRA_2425
+3321	x	Rv2402	MRA_2426
+3099	lppR	Rv2403c	MRA_2427
+1841	lepA	Rv2404c	MRA_2428
+4916	x	Rv2405	MRA_2429
+1572	x	Rv2406c	MRA_2430
+308	x	Rv2407	MRA_2431
+242	PE24	Rv2408	MRA_2433
+648	x	Rv2409c	MRA_2434
+6215	x	Rv2410c	MRA_2435
+3845	x	Rv2411c	MRA_2436
+4331	rpsT	Rv2412	MRA_2437
+1403	x	Rv2413c	MRA_2438
+1282	x	Rv2414c	MRA_2439
+367	x	Rv2415c	MRA_2440
+1014	eis	Rv2416c	MRA_2442
+755	x	Rv2417c	MRA_2443
+1647	x	Rv2418c	MRA_2444
+3180	x	Rv2419c	MRA_2445
+1917	x	Rv2420c	MRA_2446
+2448	nadD	Rv2421c	MRA_2447
+7424	x	Rv2422	MRA_2448
+3592	x	Rv2423	MRA_2449
+621	x	Rv2424c	MRA_2450
+5380	x	Rv2425c	MRA_2451
+3791	x	Rv2426c	MRA_2452
+1161	proA	Rv2427c	MRA_2453
+2687	ahpC	Rv2428	MRA_2455
+4852	ahpD	Rv2429	MRA_2456
+4744	PPE41	Rv2430c	MRA_2457
+4939	PE25	Rv2431c	MRA_2458
+753	x	Rv2432c	MRA_2458A
+5501	x	Rv2433c	MRA_2459
+1001	x	Rv2434c	MRA_2460
+3820	x	Rv2435c	MRA_2461
+3638	rbsK	Rv2436	MRA_2462
+1573	x	Rv2437	MRA_2463
+5896	x	Rv2438A	x
+474	nadE	Rv2438c	MRA_2464
+1610	proB	Rv2439c	MRA_2465
+2646	obgE	Rv2440c	MRA_2466
+3375	rpmA	Rv2441c	MRA_2467
+1178	rplU	Rv2442c	MRA_2468
+4378	dctA	Rv2443	MRA_2469
+511	rne	Rv2444c	MRA_2470
+2873	ndk	Rv2445c	MRA_2471
+4530	x	Rv2446c	MRA_2472
+1070	folC	Rv2447c	MRA_2473
+3314	valS	Rv2448c	MRA_2474
+4085	x	Rv2449c	MRA_2475
+1468	rpfE	Rv2450c	MRA_2476
+3015	x	Rv2451	MRA_2477
+6084	x	Rv2452c	MRA_2478
+1315	mobA	Rv2453c	MRA_2479
+2453	x	Rv2454c	MRA_2480
+2378	x	Rv2455c	MRA_2481
+1677	x	Rv2456c	MRA_2482
+3468	clpX	Rv2457c	MRA_2483
+4511	mmuM	Rv2458	MRA_2484
+62	x	Rv2459	MRA_2485
+6798	clpP2	Rv2460c	MRA_2486
+853	clpP	Rv2461c	MRA_2487
+3494	tig	Rv2462c	MRA_2488
+4615	lipP	Rv2463	MRA_2489
+232	fpg-1	Rv2464c	MRA_2490
+1762	x	Rv2465c	MRA_2491
+44	x	Rv2466c	x
+1485	pepN	Rv2467	MRA_2493
+6888	x	Rv2468c	MRA_2494
+3165	x	Rv2469c	MRA_2495
+2228	glbO	Rv2470	MRA_2496
+369	aglA	Rv2471	MRA_2497
+4919	x	Rv2472	MRA_2498
+877	x	Rv2473	MRA_2499
+412	x	Rv2474c	MRA_2500
+2507	x	Rv2475c	MRA_2500A
+1513	gdh	Rv2476c	MRA_2501
+124	x	Rv2477c	MRA_2502
+5406	x	Rv2478c	MRA_2503
+7198	x	Rv2481c	MRA_2506
+1794	plsB2	Rv2482c	MRA_2507
+4424	plsC	Rv2483c	MRA_2508
+2161	x	Rv2484c	MRA_2509
+3863	lipQ	Rv2485c	MRA_2510
+2894	echA14	Rv2486	MRA_2511
+20	PE_PGRS42	Rv2487c	MRA_2512
+4187	x	Rv2488c	MRA_2513
+1393	x	Rv2489c	MRA_2514
+2862	PE_PGRS43	Rv2490c	MRA_2515
+4298	x	Rv2491	MRA_2517
+97	x	Rv2492	MRA_2518
+2886	x	Rv2493	MRA_2519
+1239	x	Rv2494	MRA_2520
+1883	pdhC	Rv2495c	MRA_2521
+2189	pdhB	Rv2496c	MRA_2522
+846	pdhA	Rv2497c	MRA_2523
+1985	citE	Rv2498c	MRA_2524
+4417	x	Rv2499c	MRA_2525
+53	fadE19	Rv2500c	MRA_2526
+2313	accA1	Rv2501c	MRA_2527
+3642	accD1	Rv2502c	MRA_2528
+3708	scoB	Rv2503c	MRA_2529
+183	scoA	Rv2504c	MRA_2530
+1580	fadD35	Rv2505c	MRA_2531
+5114	x	Rv2506	MRA_2532
+4158	x	Rv2507	MRA_2533
+1896	x	Rv2508c	MRA_2534
+1330	x	Rv2509	MRA_2535
+533	x	Rv2510c	MRA_2536
+5343	orn	Rv2511	MRA_2537
+790	x	Rv2513	MRA_2540
+219	x	Rv2514c	MRA_2541
+2515	x	Rv2515c	MRA_2542
+2472	x	Rv2516c	MRA_2543
+6688	x	Rv2517c	MRA_2544
+2842	lppS	Rv2518c	MRA_2545
+4435	PE26	Rv2519	MRA_2546
+7529	x	Rv2520c	MRA_2547
+2999	bcp	Rv2521	MRA_2548
+2715	x	Rv2522c	MRA_2549
+1799	acpS	Rv2523c	MRA_2550
+330	fas	Rv2524c	MRA_2551
+2108	x	Rv2525c	MRA_2552
+4875	x	Rv2526	MRA_2553
+3121	x	Rv2527	MRA_2554
+5647	mrr	Rv2528c	MRA_2555
+3082	x	Rv2529	MRA_2556
+4428	x	Rv2530A	MRA_2558
+2271	x	Rv2530c	MRA_2557
+1342	x	Rv2531c	MRA_2559
+5196	x	Rv2532c	MRA_2560
+6833	nusB	Rv2533c	MRA_2561
+5491	efp	Rv2534c	MRA_2562
+1338	pepQ	Rv2535c	MRA_2563
+2924	x	Rv2536	MRA_2564
+6743	aroD	Rv2537c	MRA_2565
+399	aroB	Rv2538c	MRA_2566
+4264	aroK	Rv2539c	MRA_2567
+766	aroF	Rv2540c	MRA_2568
+1622	x	Rv2541	MRA_2569
+768	x	Rv2542	MRA_2570
+196	lppA	Rv2544	MRA_2572
+3219	x	Rv2545	MRA_2573
+351	x	Rv2546	MRA_2574
+2981	x	Rv2547	MRA_2575
+823	x	Rv2548	MRA_2576
+1220	x	Rv2549c	MRA_2578
+5825	x	Rv2550c	MRA_2579
+2035	aroE	Rv2551c	MRA_2580
+1327	aroE	Rv2552c	MRA_2581
+3151	x	Rv2553c	MRA_2582
+6185	x	Rv2554c	MRA_2583
+850	alaS	Rv2555c	MRA_2584
+1033	x	Rv2556c	MRA_2585
+1686	x	Rv2557	MRA_2586
+6342	x	Rv2558	MRA_2587
+1932	x	Rv2559c	MRA_2588
+976	x	Rv2560	MRA_2589
+2828	x	Rv2561	x
+2602	x	Rv2562	MRA_2591
+2394	x	Rv2563	MRA_2592
+1558	glnQ	Rv2564	MRA_2593
+4322	x	Rv2565	MRA_2594
+1708	x	Rv2566	MRA_2595
+2571	x	Rv2567	MRA_2596
+4556	x	Rv2568c	MRA_2597
+2030	x	Rv2569c	MRA_2598
+2557	x	Rv2570	MRA_2599
+1415	x	Rv2571c	MRA_2600
+837	aspS	Rv2572c	MRA_2601
+9	x	Rv2573	MRA_2602
+3437	x	Rv2574	MRA_2603
+5483	x	Rv2575	MRA_2604
+3421	x	Rv2576c	MRA_2605
+862	x	Rv2577	MRA_2606
+2944	x	Rv2578c	MRA_2607
+5235	dhaA	Rv2579	MRA_2608
+726	hisS	Rv2580c	MRA_2609
+5496	x	Rv2581c	MRA_2610
+523	ppiB	Rv2582	MRA_2611
+1307	relA	Rv2583c	MRA_2612
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+2048	x	Rv2585c	MRA_2614
+1607	secF	Rv2586c	MRA_2615
+2568	secD	Rv2587c	MRA_2616
+438	yajC	Rv2588c	MRA_2617
+1080	gabT	Rv2589	MRA_2618
+870	fadD9	Rv2590	MRA_2619
+2421	PE_PGRS44	Rv2591	MRA_2620
+658	ruvB	Rv2592c	MRA_2621
+5641	ruvA	Rv2593c	MRA_2622
+5449	ruvC	Rv2594c	MRA_2623
+3056	x	Rv2595	MRA_2623A
+3114	x	Rv2596	MRA_2624
+1007	x	Rv2597	MRA_2625
+1644	x	Rv2598	MRA_2626
+4168	x	Rv2599	MRA_2627
+3510	x	Rv2600	MRA_2628
+331	speE	Rv2601	MRA_2629
+3895	x	Rv2601A	MRA_2629A
+1775	x	Rv2602	MRA_2630
+5696	x	Rv2603c	MRA_2631
+1552	x	Rv2604c	MRA_2632
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+1031	x	Rv2606c	MRA_2634
+2768	pdxH	Rv2607	MRA_2635
+5213	PPE42	Rv2608	MRA_2636
+795	x	Rv2609c	MRA_2637
+3003	pimA	Rv2610c	MRA_2638
+1298	x	Rv2611c	MRA_2639
+2735	pgsA1	Rv2612c	MRA_2640
+4356	x	Rv2613c	MRA_2641
+3444	x	Rv2614A	x
+3223	thrS	Rv2614c	MRA_2642
+1199	PE_PGRS45	Rv2615c	MRA_2643
+733	x	Rv2616	MRA_2644
+2891	x	Rv2617c	MRA_2645
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+5045	x	Rv2619c	MRA_2647
+7259	x	Rv2620c	MRA_2648
+2580	x	Rv2621c	MRA_2649
+2038	x	Rv2622	MRA_2650
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+4206	x	Rv2624c	MRA_2652
+6000	x	Rv2625c	MRA_2653
+774	x	Rv2626c	MRA_2654
+4039	x	Rv2627c	MRA_2655
+188	x	Rv2628	MRA_2656
+6577	x	Rv2629	MRA_2657
+2536	x	Rv2630	MRA_2658
+335	x	Rv2631	MRA_2659
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+712	x	Rv2635	MRA_2664
+4049	x	Rv2636	MRA_2665
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+590	x	Rv2638	MRA_2667
+4340	x	Rv2639c	MRA_2668
+4632	x	Rv2640c	MRA_2669
+634	cadI	Rv2641	MRA_2670
+1554	x	Rv2642	MRA_2671
+5152	arsC	Rv2643	MRA_2672
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+2437	x	Rv2646	MRA_2675
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+2074	x	Rv2651c	MRA_1588
+2014	x	Rv2652c	MRA_2682
+3520	x	Rv2653c	MRA_2683
+564	x	Rv2654c	MRA_2684
+2176	x	Rv2655c	MRA_2685
+3364	x	Rv2656c	MRA_2686
+5229	x	Rv2657c	MRA_2687
+2281	x	Rv2658c	MRA_2688
+3046	x	Rv2659c	MRA_2689
+480	x	Rv2660c	MRA_2690
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+6921	x	Rv2662	MRA_2690A
+1669	x	Rv2663	MRA_2691
+2190	x	Rv2664	MRA_2692
+7052	x	Rv2665	MRA_2693
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+1035	x	Rv2668	MRA_2696
+6125	x	Rv2669	MRA_2697
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+4727	ribD	Rv2671	MRA_2699
+170	x	Rv2672	MRA_2700
+747	x	Rv2673	MRA_2701
+5626	x	Rv2674	MRA_2702
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+3566	x	Rv2683	MRA_2711
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+2790	x	Rv2686c	MRA_2714
+1650	x	Rv2687c	MRA_2715
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+84	x	Rv2689c	MRA_2717
+986	x	Rv2690c	MRA_2718
+386	ceoB	Rv2691	MRA_2719
+1452	ceoC	Rv2692	MRA_2720
+5487	x	Rv2693c	MRA_2721
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+3724	x	Rv2695	MRA_2723
+3226	x	Rv2696c	MRA_2724
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+157	x	Rv2698	MRA_2726
+3982	x	Rv2699c	MRA_2727
+3988	x	Rv2700	MRA_2728
+5992	suhB	Rv2701c	MRA_2729
+1533	ppgK	Rv2702	MRA_2730
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+3484	x	Rv2704	MRA_2732
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+3945	x	Rv2708c	MRA_2736
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+4403	x	Rv2728c	MRA_2755
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+4445	x	Rv2732c	MRA_2758
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+777	x	Rv2745c	MRA_2771
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+2153	ftsK	Rv2748c	MRA_2774
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+2923	hsdS.1	Rv2755c	MRA_2780
+162	hsdM	Rv2756c	MRA_2781
+664	x	Rv2757c	MRA_2782
+5942	x	Rv2758c	MRA_2783
+3934	x	Rv2759c	MRA_2784
+939	x	Rv2760c	MRA_2785
+2315	hsdS	Rv2761c	MRA_2786
+3857	x	Rv2762c	MRA_2787
+2200	dfrA	Rv2763c	MRA_2788
+1656	thyA	Rv2764c	MRA_2789
+3252	x	Rv2765	MRA_2790
+4594	fabG	Rv2766c	MRA_2791
+4631	x	Rv2767c	MRA_2792
+2752	PPE43	Rv2768c	MRA_2793
+1022	PE27	Rv2769c	MRA_2794
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+2929	x	Rv2771c	MRA_2796
+5545	x	Rv2772c	MRA_2797
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+4824	x	Rv2775	MRA_2799
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+541	x	Rv2777c	MRA_2801
+6161	x	Rv2778c	MRA_2802
+959	x	Rv2779c	MRA_2803
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+2209	x	Rv2781c	MRA_2805
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+4197	gpsI	Rv2783c	MRA_2807
+2018	lppU	Rv2784c	MRA_2808
+5823	rpsO	Rv2785c	MRA_2809
+4282	ribF	Rv2786c	MRA_2810
+718	x	Rv2787	MRA_2811
+2969	sirR	Rv2788	MRA_2812
+2572	fadE21	Rv2789c	MRA_2813
+5847	ltp1	Rv2790c	MRA_2814
+3912	x	Rv2792c	MRA_2816
+1119	truB	Rv2793c	MRA_2817
+3455	x	Rv2794c	MRA_2818
+2435	x	Rv2795c	MRA_2819
+4728	lppV	Rv2796c	MRA_2820
+3898	x	Rv2797c	MRA_2821
+5375	x	Rv2798c	MRA_2822
+2642	x	Rv2799	MRA_2823
+1520	x	Rv2800	MRA_2824
+3037	pemK	Rv2801c	MRA_2825
+257	x	Rv2802c	MRA_2826
+3000	x	Rv2803	MRA_2827
+1497	x	Rv2804c	MRA_2828
+3979	x	Rv2805	MRA_2829
+3376	x	Rv2806	MRA_2830
+4334	x	Rv2807	MRA_2831
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+4495	x	Rv2811	MRA_2835
+2558	x	Rv2812	MRA_2836
+3399	x	Rv2813	MRA_2837
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+2772	x	Rv2817c	MRA_2841
+2191	x	Rv2818c	MRA_2842
+2935	x	Rv2819c	MRA_2843
+4242	x	Rv2820c	MRA_2844
+3472	x	Rv2821c	MRA_2845
+4776	x	Rv2822c	MRA_2846
+3007	x	Rv2823c	MRA_2847
+1740	x	Rv2824c	MRA_2848
+4747	x	Rv2826c	MRA_2850
+1422	x	Rv2827c	MRA_2851
+420	x	Rv2828c	MRA_2849
+4441	x	Rv2829c	x
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+4366	ugpC	Rv2832c	MRA_2855
+6490	ugpB	Rv2833c	MRA_2856
+1093	ugpE	Rv2834c	MRA_2857
+378	ugpA	Rv2835c	MRA_2858
+775	dinF	Rv2836c	MRA_2859
+1474	x	Rv2837c	MRA_2860
+3191	rbfA	Rv2838c	MRA_2861
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+3849	x	Rv2840c	MRA_2863
+1577	nusA	Rv2841c	MRA_2864
+3073	x	Rv2842c	MRA_2865
+3527	x	Rv2843	MRA_2866
+1310	x	Rv2844	MRA_2867
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+5704	efpA	Rv2846c	MRA_2869
+3532	cysG	Rv2847c	MRA_2870
+3344	cobB	Rv2848c	MRA_2871
+582	cobO	Rv2849c	MRA_2872
+672	x	Rv2850c	MRA_2873
+878	x	Rv2851c	MRA_2874
+1994	mqo	Rv2852c	MRA_2875
+2734	PE_PGRS48	Rv2853	MRA_2876
+973	x	Rv2854	MRA_2877
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+3636	x	Rv2857c	MRA_2882
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+6304	x	Rv2862c	MRA_2887
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+5853	x	Rv2865	MRA_2890
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+5764	x	Rv2867c	MRA_2892
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+3184	x	Rv2871	MRA_2895A
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+1054	mpt70	Rv2875	MRA_2900
+3737	x	Rv2876	MRA_2901
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+4926	x	Rv2886c	MRA_2911
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+1508	tsf	Rv2889c	MRA_2914
+5753	rpsB	Rv2890c	MRA_2915
+3815	x	Rv2891	MRA_2916
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+1538	x	Rv2893	MRA_2918
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+3766	viuB	Rv2895c	MRA_2920
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+3318	x	Rv2898c	MRA_2923
+2733	fdhD	Rv2899c	MRA_2924
+4204	fdhF	Rv2900c	MRA_2925
+4410	x	Rv2901c	MRA_2926
+3706	rnhB	Rv2902c	MRA_2927
+1294	lepB	Rv2903c	MRA_2928
+4041	rplS	Rv2904c	MRA_2929
+4716	lppW	Rv2905	MRA_2930
+4928	trmD	Rv2906c	MRA_2931
+6623	rimM	Rv2907c	MRA_2932
+4498	x	Rv2908c	MRA_2933
+5648	rpsP	Rv2909c	MRA_2934
+1218	x	Rv2910c	MRA_2935
+4765	dacB2	Rv2911	MRA_2936
+4636	x	Rv2912c	MRA_2937
+3313	x	Rv2913c	MRA_2938
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+255	x	Rv2915c	MRA_2940
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+2041	glnD	Rv2918c	MRA_2943
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+5740	amt	Rv2920c	MRA_2945
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+2254	x	Rv2926c	MRA_2953
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+5370	x	Rv2929	MRA_2955A
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+273	ppsA	Rv2931	MRA_2957
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+1139	drrA	Rv2936	MRA_2962
+532	drrB	Rv2937	MRA_2963
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+3537	mas	Rv2940c	MRA_2966
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+6815	x	Rv2943	MRA_2969
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+1262	fadD22	Rv2948c	MRA_2975
+3209	x	Rv2949c	MRA_2976
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+1396	x	Rv2951c	MRA_2978
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+1230	entC	Rv3215	MRA_3254
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+2036	x	Rv3217c	MRA_3256
+6536	x	Rv3218	MRA_3257
+4513	whiB1	Rv3219	MRA_3258
+432	x	Rv3220c	MRA_3259
+3859	x	Rv3221A	MRA_3261
+151	TB7.3	Rv3221c	MRA_3260
+2945	x	Rv3222c	MRA_3262
+489	sigH	Rv3223c	MRA_3263
+588	x	Rv3224	MRA_3264
+3662	x	Rv3224A	x
+4816	x	Rv3224B	x
+3260	x	Rv3225c	MRA_3266
+4353	x	Rv3226c	MRA_3267
+1426	aroA	Rv3227	MRA_3268
+2369	x	Rv3228	MRA_3269
+2940	x	Rv3229c	MRA_3270
+5437	x	Rv3230c	MRA_3271
+1223	x	Rv3231c	MRA_3272
+3905	pvdS	Rv3232c	MRA_3273
+5922	x	Rv3233c	MRA_3274
+1302	x	Rv3234c	MRA_3275
+2631	x	Rv3235	MRA_3276
+363	x	Rv3236c	MRA_3277
+4107	x	Rv3237c	MRA_3278
+3998	x	Rv3238c	MRA_3279
+3839	x	Rv3239c	MRA_3280
+2211	secA1	Rv3240c	MRA_3281
+4617	x	Rv3241c	MRA_3282
+2236	x	Rv3242c	MRA_3283
+1773	x	Rv3243c	MRA_3284
+3773	lpqB	Rv3244c	MRA_3285
+969	mtrB	Rv3245c	MRA_3286
+1840	mtrA	Rv3246c	MRA_3287
+4566	tmk	Rv3247c	MRA_3288
+966	sahH	Rv3248c	MRA_3289
+27	x	Rv3249c	MRA_3290
+38	rubB	Rv3250c	MRA_3291
+4737	rubA	Rv3251c	MRA_3292
+1655	alkB	Rv3252c	MRA_3293
+4125	x	Rv3253c	MRA_3294
+990	x	Rv3254	MRA_3295
+3938	manA	Rv3255c	MRA_3296
+3188	x	Rv3256c	MRA_3297
+2685	manB	Rv3257c	MRA_3298
+5687	x	Rv3258c	MRA_3299
+2447	x	Rv3259	MRA_3300
+2359	whiB2	Rv3260c	MRA_3301
+1373	fbiA	Rv3261	MRA_3302
+508	fbiB	Rv3262	MRA_3303
+2163	x	Rv3263	MRA_3304
+2647	manB	Rv3264c	MRA_3305
+1706	wbbL1	Rv3265c	MRA_3306
+5741	rmlD	Rv3266c	MRA_3307
+585	x	Rv3267	MRA_3308
+2498	x	Rv3268	MRA_3309
+3911	x	Rv3269	MRA_3310
+119	ctpC	Rv3270	MRA_3311
+4903	x	Rv3271c	MRA_3312
+2057	yfdE	Rv3272	MRA_3313
+3593	x	Rv3273	MRA_3314
+6781	fadE25	Rv3274c	MRA_3315
+153	purE	Rv3275c	MRA_3316
+7	purK	Rv3276c	MRA_3317
+4627	x	Rv3277	MRA_3318
+6218	x	Rv3278c	MRA_3319
+1374	birA	Rv3279c	MRA_3320
+3349	accD5	Rv3280	MRA_3321
+1056	x	Rv3281	MRA_3322
+1666	maf	Rv3282	MRA_3323
+4202	sseA	Rv3283	MRA_3324
+7033	x	Rv3284	MRA_3325
+1894	accA3	Rv3285	MRA_3326
+2418	sigF	Rv3286c	MRA_3327
+5034	rsbW	Rv3287c	MRA_3328
+2021	usfY	Rv3288c	MRA_3329
+5454	x	Rv3289c	MRA_3330
+1381	lat	Rv3290c	MRA_3331
+2516	lrp	Rv3291c	MRA_3332
+5189	x	Rv3292	MRA_3333
+1204	pcd	Rv3293	MRA_3334
+794	x	Rv3294c	MRA_3335
+6849	x	Rv3295	MRA_3336
+12	lhr	Rv3296	MRA_3337
+991	nei	Rv3297	MRA_3338
+1103	lpqC	Rv3298c	MRA_3339
+799	atsB	Rv3299c	MRA_3340
+485	x	Rv3300c	MRA_3341
+3103	phoY1	Rv3301c	MRA_3342
+3754	glpD2	Rv3302c	MRA_3343
+2920	lpdA	Rv3303c	MRA_3344
+633	x	Rv3304	MRA_3345
+4960	amiA1	Rv3305c	MRA_3346
+2993	amiB1	Rv3306c	MRA_3347
+1276	deoD	Rv3307	MRA_3348
+2158	pmmB	Rv3308	MRA_3349
+2508	upp	Rv3309c	MRA_3350
+3396	x	Rv3310	MRA_3351
+5251	x	Rv3311	MRA_3352
+2482	x	Rv3312A	MRA_3354
+3109	x	Rv3312c	MRA_3353
+4595	add	Rv3313c	MRA_3355
+186	deoA	Rv3314c	MRA_3356
+4759	cdd	Rv3315c	MRA_3357
+4833	sdhC	Rv3316	MRA_3358
+3536	sdhD	Rv3317	MRA_3359
+1891	sdhA	Rv3318	MRA_3360
+6343	sdhB	Rv3319	MRA_3361
+5275	x	Rv3320c	MRA_3362
+6488	x	Rv3321c	MRA_3363
+5422	x	Rv3322c	MRA_3364
+1615	moaX	Rv3323c	MRA_3365
+5277	moaC	Rv3324c	MRA_3366
+318	x	Rv3327	MRA_3369
+2309	sigJ	Rv3328c	MRA_3370
+4065	x	Rv3329	MRA_3371
+405	dacB1	Rv3330	MRA_3372
+2879	sugI	Rv3331	MRA_3373
+2053	nagA	Rv3332	MRA_3374
+2616	x	Rv3333c	MRA_3375
+5070	x	Rv3334	MRA_3376
+992	x	Rv3335c	MRA_3377
+3686	trpS	Rv3336c	MRA_3378
+2559	x	Rv3337	x
+1957	x	Rv3338	MRA_3379
+628	icd1	Rv3339c	MRA_3380
+1790	metC	Rv3340	MRA_3381
+1405	metX	Rv3341	MRA_3382
+5154	x	Rv3342	MRA_3383
+6970	PPE54	Rv3343c	x
+4100	PE_PGRS50	Rv3345c	MRA_3385
+3826	x	Rv3346c	MRA_3386
+298	PPE55	Rv3347c	MRA_3387
+22	x	Rv3349c	MRA_3389
+2872	PPE56	Rv3350c	MRA_3390
+403	x	Rv3351c	MRA_3392
+4797	x	Rv3352c	MRA_3393
+262	x	Rv3353c	MRA_3393A
+7009	x	Rv3354	MRA_3394
+4640	x	Rv3355c	MRA_3395
+2135	folD	Rv3356c	MRA_3396
+4828	x	Rv3357	MRA_3397
+1556	x	Rv3358	MRA_3398
+788	x	Rv3359	MRA_3399
+1763	x	Rv3360	MRA_3400
+7256	x	Rv3361c	MRA_3401
+7136	x	Rv3362c	MRA_3402
+1404	x	Rv3363c	MRA_3403
+5527	x	Rv3364c	MRA_3404
+1735	x	Rv3365c	MRA_3405
+55	spoU	Rv3366	MRA_3406
+1853	PE_PGRS51	Rv3367	MRA_3407
+4067	x	Rv3368c	MRA_3408
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+2783	x	Rv3371	MRA_3411
+922	otsB2	Rv3372	MRA_3412
+5921	echA18	Rv3373	MRA_3413
+21	echA18.1	Rv3374	MRA_3414
+3035	amiD	Rv3375	MRA_3415
+4062	x	Rv3376	MRA_3416
+4665	x	Rv3377c	MRA_3417
+4352	x	Rv3378c	MRA_3418
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+3567	lytB1	Rv3382c	MRA_3422
+45	idsB	Rv3383c	MRA_3423
+393	x	Rv3384c	MRA_3424
+3441	x	Rv3385c	MRA_3425
+2377	x	Rv3386	MRA_3426
+387	x	Rv3387	MRA_3427
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+2628	lpqD	Rv3390	MRA_3429
+3896	acrA1	Rv3391	MRA_3430
+2707	cmaA1	Rv3392c	MRA_3431
+2484	iunH	Rv3393	MRA_3432
+1941	x	Rv3394c	MRA_3433
+222	x	Rv3395A	MRA_3435
+682	x	Rv3395c	MRA_3434
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+6102	phyA	Rv3397c	MRA_3437
+4786	idsA1	Rv3398c	MRA_3438
+812	x	Rv3399	MRA_3439
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+6036	x	Rv3401	MRA_3441
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+1337	x	Rv3403c	MRA_3443
+4584	x	Rv3404c	MRA_3444
+3233	x	Rv3405c	MRA_3445
+4178	x	Rv3406	MRA_3446
+1235	x	Rv3407	MRA_3447
+5181	x	Rv3408	MRA_3448
+6707	choD	Rv3409c	MRA_3449
+3381	guaB3	Rv3410c	MRA_3450
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+5219	x	Rv3412	MRA_3452
+1272	x	Rv3413c	MRA_3453
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+2473	x	Rv3415c	MRA_3455
+3470	whiB3	Rv3416	MRA_3456
+1046	groEL	Rv3417c	MRA_3457
+2049	groES	Rv3418c	MRA_3458
+6988	gcp	Rv3419c	MRA_3459
+2232	rimI	Rv3420c	MRA_3460
+1303	x	Rv3421c	MRA_3461
+3268	x	Rv3422c	MRA_3462
+4838	alr	Rv3423c	MRA_3463
+6481	PPE58	Rv3426	MRA_3466
+687	x	Rv3427c	MRA_3467
+1267	x	Rv3428c	MRA_3468
+26	PPE59	Rv3429	MRA_3469
+5678	x	Rv3430c	MRA_3470
+211	x	Rv3431c	MRA_3472
+3216	gadB	Rv3432c	MRA_3473
+344	x	Rv3433c	MRA_3474
+2844	x	Rv3434c	MRA_3475
+835	x	Rv3435c	MRA_3476
+2953	glmS	Rv3436c	MRA_3477
+2794	x	Rv3437	x
+6953	x	Rv3438	MRA_3479
+1534	x	Rv3439c	MRA_3480
+1154	x	Rv3440c	MRA_3481
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+1628	rpsI	Rv3442c	MRA_3483
+108	rplM	Rv3443c	MRA_3484
+6316	esxT	Rv3444c	MRA_3485
+2890	esxU	Rv3445c	MRA_3486
+1402	x	Rv3446c	MRA_3487
+256	x	Rv3447c	MRA_3488
+4669	x	Rv3448	MRA_3489
+2388	mycP4	Rv3449	MRA_3490
+404	x	Rv3450c	MRA_3491
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+4890	x	Rv3453	MRA_3494
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+4121	rplQ	Rv3456c	MRA_3497
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+264	rpsD	Rv3458c	MRA_3499
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+3640	rpsM	Rv3460c	MRA_3501
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+1089	x	Rv3463	MRA_3504
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+86	x	Rv3471c	MRA_3511
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+16	x	Rv3479	MRA_3519
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+5888	x	Rv3488	MRA_3528
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+3734	x	Rv3491	MRA_3531
+3123	x	Rv3492c	MRA_3532
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+2766	mce4B	Rv3498c	MRA_3538
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+849	x	Rv3645	MRA_3680
+1537	topA	Rv3646c	MRA_3681
+3070	x	Rv3647c	MRA_3682
+3274	cspA	Rv3648c	MRA_3683
+152	x	Rv3649	MRA_3684
+5506	PE33	Rv3650	MRA_3685
+4986	x	Rv3651	MRA_3686
+7257	PE_PGRS60	Rv3652	x
+1616	PE_PGRS61	Rv3653	MRA_3688
+4579	x	Rv3654c	MRA_3689
+1645	x	Rv3655c	MRA_3690
+416	x	Rv3656c	x
+3819	x	Rv3657c	MRA_3691
+807	x	Rv3658c	MRA_3692
+2422	x	Rv3659c	MRA_3693
+1852	x	Rv3660c	MRA_3694
+7372	x	Rv3661	MRA_3695
+4398	x	Rv3662c	MRA_3696
+2379	dppD	Rv3663c	MRA_3697
+1743	dppC	Rv3664c	MRA_3698
+1670	dppB	Rv3665c	MRA_3699
+3371	dppA	Rv3666c	MRA_3700
+2581	acs	Rv3667	MRA_3702
+4029	x	Rv3668c	MRA_3703
+3397	x	Rv3669	MRA_3704
+2673	ephE	Rv3670	MRA_3705
+1416	x	Rv3671c	MRA_3706
+2054	x	Rv3672c	MRA_3707
+5835	x	Rv3673c	MRA_3708
+290	nth	Rv3674c	MRA_3709
+5332	x	Rv3675	MRA_3710
+3423	x	Rv3676	MRA_3711
+3956	x	Rv3677c	MRA_3712
+5136	x	Rv3678A	x
+2996	x	Rv3678c	MRA_3713
+3229	x	Rv3679	MRA_3714
+168	x	Rv3680	MRA_3715
+3907	whiB4	Rv3681c	MRA_3716
+2717	ponA2	Rv3682	MRA_3717
+1115	x	Rv3683	MRA_3718
+2224	x	Rv3684	MRA_3719
+2296	cyp137	Rv3685c	MRA_3720
+2460	x	Rv3686c	MRA_3721
+2455	rsfB	Rv3687c	MRA_3722
+4390	x	Rv3688c	MRA_3723
+309	x	Rv3689	MRA_3724
+3645	x	Rv3690	MRA_3725
+1741	x	Rv3691	MRA_3726
+3030	moxR2	Rv3692	MRA_3727
+964	x	Rv3693	MRA_3728
+3156	x	Rv3694c	MRA_3729
+283	x	Rv3695	MRA_3730
+227	glpK	Rv3696c	MRA_3731
+4060	x	Rv3697c	MRA_3732
+3343	x	Rv3698	MRA_3734
+5369	x	Rv3699	MRA_3735
+1328	x	Rv3700c	MRA_3736
+1575	x	Rv3701c	MRA_3737
+400	x	Rv3702c	MRA_3738
+509	x	Rv3703c	MRA_3739
+1679	gshA	Rv3704c	MRA_3740
+2046	x	Rv3705A	MRA_3742
+2203	x	Rv3705c	MRA_3741
+3493	x	Rv3706c	MRA_3743
+4042	x	Rv3707c	MRA_3744
+3653	asd	Rv3708c	MRA_3745
+5425	ask	Rv3709c	MRA_3746
+2167	leuA	Rv3710	MRA_3747
+2964	dnaQ	Rv3711c	MRA_3748
+192	x	Rv3712	MRA_3749
+407	cobQ2	Rv3713	MRA_3750
+75	x	Rv3714c	MRA_3751
+4524	recR	Rv3715c	MRA_3752
+1511	x	Rv3716c	MRA_3753
+998	x	Rv3717	MRA_3754
+3101	x	Rv3718c	MRA_3755
+161	x	Rv3719	MRA_3756
+715	cfa-2	Rv3720	MRA_3757
+1254	dnaZX	Rv3721c	MRA_3758
+516	x	Rv3722c	MRA_3759
+3481	x	Rv3723	MRA_3760
+6814	cut5a	Rv3724A	MRA_3761
+3525	cut5b	Rv3724B	MRA_3762
+951	x	Rv3725	MRA_3763
+6392	x	Rv3726	MRA_3764
+1936	x	Rv3727	MRA_3765
+769	x	Rv3728	MRA_3766
+2324	x	Rv3729	MRA_3767
+1363	x	Rv3730c	MRA_3768
+936	ligC	Rv3731	MRA_3769
+1372	x	Rv3732	MRA_3770
+4809	x	Rv3733c	MRA_3771
+3930	x	Rv3734c	MRA_3772
+4483	x	Rv3735	MRA_3773
+2268	x	Rv3736	MRA_3774
+2582	x	Rv3737	MRA_3775
+742	PPE66	Rv3738c	MRA_3776
+452	PPE67	Rv3739c	MRA_3777
+3075	x	Rv3740c	MRA_3778
+675	x	Rv3741c	MRA_3779
+2034	x	Rv3742c	MRA_3780
+2366	ctpJ	Rv3743c	MRA_3781
+3562	x	Rv3744	MRA_3782
+2545	x	Rv3745c	MRA_3783
+3259	PE34	Rv3746c	MRA_3784
+537	x	Rv3747	MRA_3785
+5758	x	Rv3748	MRA_3786
+2002	x	Rv3749c	MRA_3787
+3980	x	Rv3750c	MRA_3788
+4272	x	Rv3751	MRA_3789
+4650	x	Rv3752c	MRA_3790
+29	x	Rv3753c	MRA_3791
+3373	tyrA	Rv3754	MRA_3792
+4305	x	Rv3755c	MRA_3793
+4478	proZ	Rv3756c	MRA_3794
+2440	proW	Rv3757c	MRA_3795
+3009	proV	Rv3758c	MRA_3796
+497	proX	Rv3759c	MRA_3797
+3694	x	Rv3760	MRA_3798
+6892	fadE36	Rv3761c	MRA_3799
+469	x	Rv3762c	MRA_3800
+2215	lpqH	Rv3763	MRA_3801
+473	x	Rv3764c	MRA_3802
+3112	x	Rv3765c	MRA_3803
+666	x	Rv3766	MRA_3804
+7427	x	Rv3767c	MRA_3805
+5502	x	Rv3768	MRA_3806
+2319	x	Rv3769	MRA_3807
+6544	x	Rv3770A	MRA_3809
+3139	x	Rv3770B	MRA_3810
+1895	x	Rv3770c	MRA_3808
+4252	x	Rv3771c	MRA_3811
+5431	hisC2	Rv3772	MRA_3812
+1350	x	Rv3773c	MRA_3813
+3875	echA21	Rv3774	MRA_3814
+54	lipE	Rv3775	MRA_3815
+822	x	Rv3776	MRA_3816
+2679	x	Rv3777	MRA_3817
+7164	x	Rv3778c	MRA_3818
+2961	x	Rv3779	MRA_3819
+2179	x	Rv3780	MRA_3820
+3064	rfbE	Rv3781	MRA_3821
+1947	x	Rv3782	MRA_3822
+5691	rfbD	Rv3783	MRA_3823
+1723	x	Rv3784	MRA_3824
+4820	x	Rv3785	MRA_3825
+1003	x	Rv3786c	MRA_3826
+5969	x	Rv3787c	MRA_3827
+5609	x	Rv3788	MRA_3828
+2615	x	Rv3789	MRA_3829
+1565	x	Rv3790	MRA_3830
+4345	x	Rv3791	MRA_3831
+2861	x	Rv3792	MRA_3832
+896	embC	Rv3793	MRA_3833
+3205	embA	Rv3794	MRA_3834
+209	embB	Rv3795	MRA_3835
+448	x	Rv3796	MRA_3836
+3504	fadE35	Rv3797	MRA_3837
+2504	accD4	Rv3799c	MRA_3839
+1640	pks13	Rv3800c	MRA_3840
+73	fadD32	Rv3801c	MRA_3841
+3720	x	Rv3802c	MRA_3842
+813	fbpD	Rv3803c	MRA_3843
+848	fbpA	Rv3804c	MRA_3844
+2316	x	Rv3805c	MRA_3845
+2333	x	Rv3806c	MRA_3846
+660	x	Rv3807c	MRA_3847
+1176	glfT	Rv3808c	MRA_3848
+858	glf	Rv3809c	MRA_3849
+1412	pirG	Rv3810	MRA_3850
+2626	x	Rv3811	MRA_3851
+1238	PE_PGRS62	Rv3812	MRA_3852
+5077	x	Rv3813c	MRA_3853
+1049	x	Rv3814c	MRA_3854
+4874	x	Rv3815c	MRA_3855
+5576	x	Rv3816c	MRA_3856
+3598	aph	Rv3817	MRA_3857
+2358	x	Rv3818	MRA_3858
+2926	x	Rv3819	MRA_3859
+527	papA2	Rv3820c	MRA_3860
+2960	x	Rv3821	MRA_3861
+3036	x	Rv3822	MRA_3862
+1691	mmpL8	Rv3823c	MRA_3863
+1232	papA1	Rv3824c	MRA_3864
+694	pks2	Rv3825c	MRA_3865
+1617	fadD23	Rv3826	MRA_3866
+2569	x	Rv3827c	MRA_3867
+2590	x	Rv3828c	MRA_3868
+35	x	Rv3829c	MRA_3869
+67	x	Rv3830c	MRA_3870
+5007	x	Rv3831	MRA_3871
+2201	x	Rv3832c	MRA_3872
+5125	x	Rv3833	MRA_3873
+1526	serS	Rv3834c	MRA_3874
+358	x	Rv3835	MRA_3875
+2697	x	Rv3836	MRA_3876
+4865	x	Rv3837c	MRA_3877
+5260	pheA	Rv3838c	MRA_3878
+383	x	Rv3839	MRA_3879
+5105	x	Rv3840	MRA_3880
+2105	bfrB	Rv3841	MRA_3881
+932	glpQ1	Rv3842c	MRA_3882
+2149	x	Rv3843c	MRA_3883
+3330	x	Rv3844	MRA_3884
+1779	x	Rv3845	MRA_3885
+2314	sodA	Rv3846	MRA_3886
+3807	x	Rv3847	MRA_3887
+4547	x	Rv3848	MRA_3888
+5036	x	Rv3849	MRA_3889
+3549	x	Rv3850	MRA_3890
+1263	x	Rv3851	MRA_3891
+2610	hns	Rv3852	MRA_3892
+1354	menG	Rv3853	MRA_3893
+4924	ethA	Rv3854c	MRA_3894
+7374	ethR	Rv3855	MRA_3895
+3155	x	Rv3856c	MRA_3896
+6668	x	Rv3857c	MRA_3897
+3135	gltD	Rv3858c	MRA_3898
+50	gltB	Rv3859c	MRA_3899
+3629	x	Rv3860	MRA_3900
+7063	x	Rv3861	x
+3523	whiB6	Rv3862c	MRA_3901
+1903	x	Rv3863	MRA_3902
+105	x	Rv3864	MRA_3903
+5482	x	Rv3865	MRA_3904
+5562	x	Rv3866	MRA_3905
+1064	x	Rv3867	MRA_3906
+941	x	Rv3868	MRA_3907
+349	x	Rv3869	MRA_3908
+1164	x	Rv3870	MRA_3909
+1862	x	Rv3871	MRA_3910
+965	PE35	Rv3872	MRA_3911
+1270	PPE68	Rv3873	MRA_3912
+343	esxB	Rv3874	MRA_3913
+2871	esxA	Rv3875	MRA_3914
+928	x	Rv3876	MRA_3915
+1061	x	Rv3877	MRA_3916
+3253	x	Rv3878	MRA_3917
+882	x	Rv3879c	MRA_3918
+2988	x	Rv3880c	MRA_3919
+1428	x	Rv3881c	MRA_3920
+663	x	Rv3882c	MRA_3921
+190	mycP1	Rv3883c	MRA_3922
+673	x	Rv3884c	MRA_3923
+1872	x	Rv3885c	MRA_3924
+1257	mycP2	Rv3886c	MRA_3925
+374	x	Rv3887c	MRA_3926
+3726	x	Rv3888c	MRA_3927
+2261	x	Rv3889c	MRA_3928
+6425	esxC	Rv3890c	MRA_3929
+4796	esxD	Rv3891c	MRA_3930
+843	PPE69	Rv3892c	MRA_3931
+3150	PE36	Rv3893c	MRA_3932
+1683	x	Rv3894c	MRA_3933
+3996	x	Rv3895c	MRA_3934
+313	x	Rv3896c	MRA_3935
+5382	x	Rv3897c	MRA_3936
+5003	x	Rv3898c	MRA_3937
+1009	x	Rv3899c	MRA_3938
+874	x	Rv3900c	MRA_3939
+2551	x	Rv3901c	MRA_3940
+6290	x	Rv3902c	MRA_3941
+34	x	Rv3903c	MRA_3942
+693	esxE	Rv3904c	MRA_3943
+388	esxF	Rv3905c	MRA_3944
+6652	x	Rv3906c	MRA_3945
+5452	pcnA	Rv3907c	MRA_3946
+2332	x	Rv3908	MRA_3947
+1205	x	Rv3909	MRA_3948
+1739	x	Rv3910	MRA_3949
+620	sigM	Rv3911	MRA_3950
+2699	x	Rv3912	MRA_3951
+4317	trxB2	Rv3913	MRA_3952
+6740	trxC	Rv3914	MRA_3953
+876	x	Rv3915	MRA_3954
+4458	x	Rv3916c	MRA_3955
+2864	parB	Rv3917c	MRA_3956
+2094	parA	Rv3918c	MRA_3957
+2619	gidB	Rv3919c	MRA_3958
+4189	x	Rv3920c	MRA_3959
+193	x	Rv3921c	MRA_3960
+2321	x	Rv3922c	MRA_3961
+1424	rnpA	Rv3923c	MRA_3962
+5407	rpmH	Rv3924c	MRA_3963
+6077	x	x	MRA_0024
+5887	x	x	MRA_0082
+5555	nrp1	x	MRA_0105
+3280	x	x	MRA_0122
+4823	x	x	MRA_0286
+2342	PPE7	x	MRA_0363
+6991	x	x	MRA_0376
+6348	x	x	MRA_0403
+3501	x	x	MRA_0459
+4211	x	x	MRA_0589
+83	x	x	MRA_0618
+1897	galTb	x	MRA_0628
+7084	x	x	MRA_0648
+2887	x	x	MRA_0678
+2139	x	x	MRA_0745
+1441	x	x	MRA_0895
+5199	x	x	MRA_0925
+1547	x	x	MRA_0954
+2462	x	x	MRA_0967
+3088	x	x	MRA_1004
+2517	x	x	MRA_1049
+2335	x	x	MRA_1066
+1546	x	x	MRA_1102
+5398	x	x	MRA_1147
+880	x	x	MRA_1368
+4173	x	x	MRA_1376
+4463	x	x	MRA_1452
+284	PE_PGRS27	x	MRA_1459
+3563	x	x	MRA_1514
+2480	x	x	MRA_1685
+4801	x	x	MRA_1746
+2267	plcD	x	MRA_1766
+3416	x	x	MRA_1768A
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+613	x	x	MRA_1768C
+3203	mmpL14	x	MRA_1768D
+1736	x	x	MRA_1772
+2854	x	x	MRA_1773
+2759	x	x	MRA_1779
+5	PPE31	x	MRA_1819
+4320	x	x	MRA_1906
+1953	x	x	MRA_1959
+5335	x	x	MRA_1972
+6550	x	x	MRA_1974
+3079	x	x	MRA_1994
+5526	x	x	MRA_1997
+2948	x	x	MRA_2002
+4749	x	x	MRA_2007
+6322	x	x	MRA_2077
+6857	x	x	MRA_2095
+465	x	x	MRA_2113
+5044	x	x	MRA_2119
+4668	x	x	MRA_2157
+1562	x	x	MRA_2206
+360	x	x	MRA_2242
+5197	x	x	MRA_2245
+5677	x	x	MRA_2246
+4536	x	x	MRA_2251
+6211	x	x	MRA_2257
+7089	x	x	MRA_2276
+6010	x	x	MRA_2326
+2461	x	x	MRA_2328
+3619	x	x	MRA_2372
+2397	x	x	MRA_2374
+402	x	x	MRA_2375
+5312	x	x	MRA_2410
+7122	x	x	MRA_2432
+2745	x	x	MRA_2454
+1712	x	x	MRA_2492
+4363	x	x	MRA_2516
+6241	x	x	MRA_2539
+1322	x	x	MRA_2577
+6071	x	x	MRA_2590
+2666	x	x	MRA_2662
+2898	x	x	MRA_2673
+244	x	x	MRA_2679
+235	x	x	MRA_2834
+3134	x	x	MRA_2853
+1913	x	x	MRA_2880
+1012	x	x	MRA_2881
+1688	x	x	MRA_2898
+5388	x	x	MRA_2904
+3915	x	x	MRA_2951
+7120	x	x	MRA_2988
+967	x	x	MRA_2992
+5170	rpmB	x	MRA_3004
+4471	x	x	MRA_3030
+372	PPE	x	MRA_3052
+890	x	x	MRA_3064
+3005	x	x	MRA_3096
+3666	x	x	MRA_3160
+2528	x	x	MRA_3169
+5811	x	x	MRA_3212
+4979	x	x	MRA_3223
+2852	x	x	MRA_3225
+7050	x	x	MRA_3240
+6862	x	x	MRA_3265
+7057	x	x	MRA_3384
+7051	x	x	MRA_3391
+662	x	x	MRA_3428
+6795	x	x	MRA_3428A
+1260	x	x	MRA_3471
+7344	x	x	MRA_3553
+524	x	x	MRA_3634
+4364	PE_PGRS59	x	MRA_3635
+5650	x	x	MRA_3687
+7293	x	x	MRA_3701
+3865	x	x	MRA_3733
diff --git a/datasets/mtu_broad/input/point_mutations.txt b/datasets/mtu_broad/input/point_mutations.txt
new file mode 100644
index 0000000..6bedf7c
--- /dev/null
+++ b/datasets/mtu_broad/input/point_mutations.txt
@@ -0,0 +1,1094 @@
+GTBDR00860 GTBDR00344 GTBDR02448 GTBDR02511 GTBDR02496 GTBDR02355 GTBDR02495 GTBDR00348 GTBDR02268 GTBDR00264 GTBDR01912 GTBDR01738 GTBDR01913 GTBDR01793 GTBDR01830 GTBDR02011 GTBDR00787 GTBDR02442 GTBDR02392 GTBDR02331 GTBDR01102 GTBDR00601 GTBDR00781 GTBDR00244 GTBDR01785 GTBDR01345 GTBDR00776 GTBDR00343 GTBDR01780 GTBDR02579 GTBDR02043 GTBDR02082 GTBDR01142 GTBDR01108 GTBDR02362 GTBDR00835 GTBDR00731 GTBDR02410 GTBDR01993 GTBDR02018 GTBDR02020 GTBDR01063 GTBDR00779 GTBDR01380 GTBDR003 [...]
+>Rv0005	Rv0005	gyrB	5123	7267	+
+-120	p	C T:895
+-48	p	C T:473_475,732_736,1000,1001
+4	n	N T:91
+27	n	N T:777
+39	n	I V:1304
+118	n	D N:47
+133	n	P L:644_647
+156	n	S P:106,505,606;F:186,678,950,1186
+253	n	T P:8
+310	n	I M:25,91,221_228,457_472,719_726,980_990
+313	n	S G:660
+330	n	M I:1,237,238,473_475,727_739,991_1002,1239_1242
+340	n	V L:51_53,141_150,331_340,625_631,870,1163_1168
+350	n	H Y:559
+379	n	D G:733
+439	n	P R:1234
+442	n	A S:26,94,95
+453	n	A S:150
+485	n	R H:990;C:21
+486	n	S Y:1219
+496	n	V L:216,418_440,708,709
+500	n	D N:134,135,1246
+531	n	R S:26
+538	n	N S:206;K:190;D:204,839;T:445,686,710,717,718,813,814,956,957
+539	n	T A:34,132
+540	n	E D:402,403,405,549
+543	n	A V:1075
+559	n	G A:666
+626	n	R G:689,690
+635	n	K N:1314
+646	n	I V:610
+667	n	P A:1269
+679	n	D A:366
+700	n	S T:91,221_228,457_472,719_726,980_990
+>Rv0006	Rv0006	gyrA	7302	9818	+
+21	n	Q E:652,916,917,1370
+64	n	F L:535
+80	n	T A:55_57,155_172,351_360,658,659
+81	n	M L:641
+88	n	G C:341,342,808,1247
+89	n	D G:65,257;N:319,810_812
+90	n	A G:165,166;V:42,116,207,209,234,270,271,333_335,343,344,400,418,440,468,469,490,532,753,783,785,788,827,870,905,949,953,1017,1066,1111,1163,1164,1191,1201,1221,1242_1244,1278,1279,1329,1336,1342,1343,1386
+91	n	S P:28,69,94,95,851,1023,1245,1294,1295
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diff --git a/datasets/mtu_broad/input/res_profiles.txt b/datasets/mtu_broad/input/res_profiles.txt
new file mode 100644
index 0000000..a0abf1b
--- /dev/null
+++ b/datasets/mtu_broad/input/res_profiles.txt
@@ -0,0 +1,9 @@
+GTBDR00860 GTBDR02014 GTBDR02590 GTBDR01967 GTBDR00858 GTBDR01956 GTBDR01733 GTBDR01972 GTBDR01975 GTBDR01777 GTBDR00857 GTBDR02593 GTBDR02062 GTBDR02051 GTBDR02015 GTBDR00859 GTBDR00856 GTBDR01970 GTBDR01969 GTBDR01958 GTBDR01959 GTBDR01950 GTBDR02120 GTBDR01953 GTBDR01951 GTBDR01921 GTBDR01916 GTBDR02039 GTBDR01957 GTBDR02119 GTBDR01799 GTBDR01924 GTBDR01823 GTBDR00212 GTBDR02448 GTBDR02584 GTBDR02515 GTBDR02443 GTBDR02442 GTBDR02511 GTBDR02496 GTBDR02355 GTBDR02495 GTBDR02392 GTBDR023 [...]
+Rifampicin	R S:22,23,26,27,29,31,33,50_53,63_67,71,81,83,84,91_96,102,109,113,118,151,152,180,183,185,186,194,204,216,221,229_231,235,241,249,251,252,254,257,262_272,274_276,278,284,288,297,299,321,326,333,335,348,350_353,355,360,369,382,416,420,425_427,464,467,477_481,485,490,491,493,496_500,502,509,510,514_516,530,533,535,539,540,563,637,648,650,734,739_741,749,754,756_760,762_764,768,770_773,775,778,796,800,801,812,813,824,834,837,841,867,872,873,905,921,926,928,929,931_933,938,943,94 [...]
+Fluoroquinolones	S R:0,4,10,15,16,40,61,71,108,116,122,130,143,146,151,152,155,188,190,192,202,205,210_212,217_219,232,248_250,259,279,286,289,298,304,323,329,333,336,340,342,344,345,355,379,384,390,393,402,404,407,408,410_415,427_429,432,450,452,454,455,466,467,470,474,475,511,531,542,549,553,556,557,560,561,563,565_568,570,581,589,590,595,599,610,617,666_668,674_680,682,684,686,690,701_703,706,714,715,718,720,724,726,769,770,779_782,790,792_794,809,810,817,820_822,825,838,839,857,860,8 [...]
+Isoniazid	R I:111,112;S:22,23,26_29,33,50_52,58,63_67,83,84,90_93,95_97,102,109,113,118,151,152,185,186,194,204,216,220,221,229_231,235,251,252,262_269,271_278,288,297,299,335,348,350_353,355,382,416,453,467,477_479,481,487,491,493,496_498,509,510,512,516,530,535,536,539,560,563,636,648,650,758_761,763,764,771,775,798,799,801,806,833,834,837,841,867,926,932,933,947,948,954,970,971,1013,1014,1039,1054,1091,1100,1109,1121,1151,1152,1154,1155,1225,1228,1230,1231,1257,1269,1275,1276,1279,128 [...]
+Ethambutol	R S:23,24,28,30,31,33,43,45,50_52,55,57,58,60,62_67,71,76,77,79,81,83,84,91_93,95_97,99,102,107,109_113,116,118_121,123,125,126,131,134,137,142,147,151,152,175,180,182,183,185,186,188,189,192,194,198,204,207,216,220,221,223,227,229_232,235,236,238,243,245,248,249,251,252,254,255,259,263_275,277,278,280_283,288,296_299,311,321,325_328,333,335,336,338,341,347,348,350_353,355,356,359,362,365,367_369,371,373,375,377,381,382,392,396,398,416,421,424_426,429,434,453,464,467,473,477,4 [...]
+Streptomycin	R S:1,6,12,14,25_28,30,40,47,50_53,55,60,62_69,72_76,79,80,90_93,95,97,102,109,113_116,118,122,123,126,150,154,158,159,161,179,185,186,188,194,204,216,218,221,223,231,235,236,239,243_245,247,251,252,255,262_269,272_278,280_283,285,288,289,297,299,303,304,307,311_314,320,321,326,327,334,336,338,347,348,350_353,382,383,395,398,416,424_426,429,451,452,455,459,470,473,476_481,483,485,488,490,491,493,494,496,497,499,500,506,507,509_511,513,515,516,519,524,525,527,534_536,539,560, [...]
+Rifampicin	R S:22,23,26,27,29,31,33,50_53,63_67,71,81,83,84,91_96,102,109,113,118,151,152,180,183,185,186,194,204,216,221,229_231,235,241,249,251,252,254,257,262_272,274_276,278,284,288,297,299,321,326,333,335,348,350_353,355,360,369,382,416,420,425_427,453,464,467,477_481,485,490,491,493,496_500,502,509,510,514_516,530,533,535,539,540,563,637,648,650,734,739_741,749,754,756_760,762_764,768,770_773,775,778,796,800,801,812,813,824,834,837,841,867,872,873,905,921,926,928,929,931_933,938,94 [...]
+Pyrazinamide	R S:2,33,34,45,47_51,55,60,65_68,71,74_77,79,81,99_102,109,111_113,118_125,132,135,138,139,142,151,152,159,162,163,168,175,178,180,182_186,194,196,197,204,207_210,216,221,228,232,236,239,241,242,244,245,249,255,256,282,285_288,292,297_299,302,303,311,317,320,321,324,325,327,333,336,337,348,350,351,354,355,362,365,367,368,373,381,382,387,416,419,421,425,429,430,453,459,462,467,477,482,483,493,495_497,505,513,517,519,520,522,526,529,534,537_542,548,558,560_563,565,567,568,571, [...]
+
diff --git a/datasets/mtu_broad/input/res_profiles_cmp.txt b/datasets/mtu_broad/input/res_profiles_cmp.txt
new file mode 100644
index 0000000..3982b9c
--- /dev/null
+++ b/datasets/mtu_broad/input/res_profiles_cmp.txt
@@ -0,0 +1,10 @@
+GTBDR00860 GTBDR02014 GTBDR02590 GTBDR01967 GTBDR00858 GTBDR01956 GTBDR01733 GTBDR01972 GTBDR01975 GTBDR01777 GTBDR00857 GTBDR02593 GTBDR02062 GTBDR02051 GTBDR02015 GTBDR00859 GTBDR00856 GTBDR01970 GTBDR01969 GTBDR01958 GTBDR01959 GTBDR01950 GTBDR02120 GTBDR01953 GTBDR01951 GTBDR01921 GTBDR01916 GTBDR02039 GTBDR01957 GTBDR02119 GTBDR01799 GTBDR01924 GTBDR01823 GTBDR00212 GTBDR02448 GTBDR02584 GTBDR02515 GTBDR02443 GTBDR02442 GTBDR02511 GTBDR02496 GTBDR02355 GTBDR02495 GTBDR02392 GTBDR023 [...]
+Rifampicin	R S:22,23,26,27,29,31,33,50_53,63_67,71,81,83,84,91_96,102,109,113,118,151,152,180,183,185,186,194,204,216,221,229_231,235,241,249,251,252,254,257,262_272,274_276,278,284,288,297,299,321,326,333,335,348,350_353,355,360,369,382,416,420,425_427,453,464,467,477_481,485,490,491,493,496_500,502,509,510,514_516,530,533,535,539,540,563,637,648,650,734,739_741,749,754,756_760,762_764,768,770_773,775,778,796,800,801,812,813,824,834,837,841,867,872,873,905,921,926,928,929,931_933,938,94 [...]
+Fluoroquinolones	? 
+Rifampicin	R S:22,23,26,27,29,31,33,50_53,63_67,71,81,83,84,91_96,102,109,113,118,151,152,180,183,185,186,194,204,216,221,229_231,235,241,249,251,252,254,257,262_272,274_276,278,284,288,297,299,321,326,333,335,348,350_353,355,360,369,382,416,420,425_427,464,467,477_481,485,490,491,493,496_500,502,509,510,514_516,530,533,535,539,540,563,637,648,650,734,739_741,749,754,756_760,762_764,768,770_773,775,778,796,800,801,812,813,824,834,837,841,867,872,873,905,921,926,928,929,931_933,938,943,94 [...]
+Fluoroquinolones	S R:0,4,10,15,16,40,61,71,108,116,122,130,143,146,151,152,155,188,190,192,202,205,210_212,217_219,232,248_250,259,279,286,289,298,304,323,329,333,336,340,342,344,345,355,379,384,390,393,402,404,407,408,410_415,427_429,432,450,452,454,455,466,467,470,474,475,511,531,542,549,553,556,557,560,561,563,565_568,570,581,589,590,595,599,610,617,666_668,674_680,682,684,686,690,701_703,706,714,715,718,720,724,726,769,770,779_782,790,792_794,809,810,817,820_822,825,838,839,857,860,8 [...]
+Isoniazid	R I:111,112;S:22,23,26_29,33,50_52,58,63_67,83,84,90_93,95_97,102,109,113,118,151,152,185,186,194,204,216,220,221,229_231,235,251,252,262_269,271_278,288,297,299,335,348,350_353,355,382,416,453,467,477_479,481,487,491,493,496_498,509,510,512,516,530,535,536,539,560,563,636,648,650,758_761,763,764,771,775,798,799,801,806,833,834,837,841,867,926,932,933,947,948,954,970,971,1013,1014,1039,1054,1091,1100,1109,1121,1151,1152,1154,1155,1225,1228,1230,1231,1257,1269,1275,1276,1279,128 [...]
+Ethambutol	R S:23,24,28,30,31,33,43,45,50_52,55,57,58,60,62_67,71,76,77,79,81,83,84,91_93,95_97,99,102,107,109_113,116,118_121,123,125,126,131,134,137,142,147,151,152,175,180,182,183,185,186,188,189,192,194,198,204,207,216,220,221,223,227,229_232,235,236,238,243,245,248,249,251,252,254,255,259,263_275,277,278,280_283,288,296_299,311,321,325_328,333,335,336,338,341,347,348,350_353,355,356,359,362,365,367_369,371,373,375,377,381,382,392,396,398,416,421,424_426,429,434,453,464,467,473,477,4 [...]
+Streptomycin	R S:1,6,12,14,25_28,30,40,47,50_53,55,60,62_69,72_76,79,80,90_93,95,97,102,109,113_116,118,122,123,126,150,154,158,159,161,179,185,186,188,194,204,216,218,221,223,231,235,236,239,243_245,247,251,252,255,262_269,272_278,280_283,285,288,289,297,299,303,304,307,311_314,320,321,326,327,334,336,338,347,348,350_353,382,383,395,398,416,424_426,429,451,452,455,459,470,473,476_481,483,485,488,490,491,493,494,496,497,499,500,506,507,509_511,513,515,516,519,524,525,527,534_536,539,560, [...]
+Rifampicin	R S:22,23,26,27,29,31,33,50_53,63_67,71,81,83,84,91_96,102,109,113,118,151,152,180,183,185,186,194,204,216,221,229_231,235,241,249,251,252,254,257,262_272,274_276,278,284,288,297,299,321,326,333,335,348,350_353,355,360,369,382,416,420,425_427,453,464,467,477_481,485,490,491,493,496_500,502,509,510,514_516,530,533,535,539,540,563,637,648,650,734,739_741,749,754,756_760,762_764,768,770_773,775,778,796,800,801,812,813,824,834,837,841,867,872,873,905,921,926,928,929,931_933,938,94 [...]
+Pyrazinamide	R S:2,33,34,45,47_51,55,60,65_68,71,74_77,79,81,99_102,109,111_113,118_125,132,135,138,139,142,151,152,159,162,163,168,175,178,180,182_186,194,196,197,204,207_210,216,221,228,232,236,239,241,242,244,245,249,255,256,282,285_288,292,297_299,302,303,311,317,320,321,324,325,327,333,336,337,348,350,351,354,355,362,365,367,368,373,381,382,387,416,419,421,425,429,430,453,459,462,467,477,482,483,493,495_497,505,513,517,519,520,522,526,529,534,537_542,548,558,560_563,565,567,568,571, [...]
diff --git a/datasets/mtu_broad/input/strains_ordered.txt b/datasets/mtu_broad/input/strains_ordered.txt
new file mode 100644
index 0000000..980b568
--- /dev/null
+++ b/datasets/mtu_broad/input/strains_ordered.txt
@@ -0,0 +1,1398 @@
+GTBDR00860
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diff --git a/datasets/mtu_broad/input/tree.txt b/datasets/mtu_broad/input/tree.txt
new file mode 100644
index 0000000..308abc2
--- /dev/null
+++ b/datasets/mtu_broad/input/tree.txt
@@ -0,0 +1 @@
+((GTBDR00860:0.00924,(((GTBDR02014:0.00209,(GTBDR02590:0.00001,GTBDR01967:0.00001):0.00209,GTBDR00858:0.00209):0.00109,((GTBDR01956:0.00001,GTBDR01733:0.00001):0.00306,(GTBDR01972:0.00166,(GTBDR01975:0.00064,(GTBDR01777:0.00001,GTBDR00857:0.00001):0.00064):0.00102,(GTBDR02593:0.00001,GTBDR02062:0.00001,GTBDR02051:0.00001,GTBDR02015:0.00001,GTBDR00859:0.00001):0.00166,GTBDR00856:0.00166):0.00140):0.00013):0.00206,(((GTBDR01970:0.00001,GTBDR01969:0.00001):0.00260,(GTBDR01958:0.00087,(GTBDR [...]
diff --git a/datasets/mtu_broad/input/treeOLD_bin.txt b/datasets/mtu_broad/input/treeOLD_bin.txt
new file mode 100644
index 0000000..ed0f510
--- /dev/null
+++ b/datasets/mtu_broad/input/treeOLD_bin.txt
@@ -0,0 +1,10 @@
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+(((((GTBDR02011,((GTBDR00355,GTBDR01380),GTBDR00313)),((((GTBDR00724,(((GTBDR02394,GTBDR02322),(GTBDR02512,((GTBDR00829,((GTBDR00762,GTBDR02370),(GTBDR00839,GTBDR00804))),(GTBDR00851,GTBDR00843)))),(GTBDR02236,GTBDR00705))),((((GTBDR02338,(GTBDR02291,(GTBDR02297,GTBDR00766))),((((GTBDR00356,(((GTBDR01805,GTBDR01829),GTBDR01818),GTBDR00786)),(((GTBDR19445,GTBDR00840),((((((GTBDR19447,GTBDR02276),((GTBDR02520,GTBDR02471),GTBDR02522)),((GTBDR02455,GTBDR02312),GTBDR02529)),(GTBDR02528,(GTBDR [...]
+((((GTBDR00860,((((GTBDR00858,(GTBDR02590,GTBDR01967)),GTBDR02014),((GTBDR01956,GTBDR01733),(((GTBDR01975,(GTBDR01777,GTBDR00857)),GTBDR01972),((((GTBDR02051,GTBDR02062),GTBDR02015),(GTBDR00859,GTBDR02593)),GTBDR00856)))),(((GTBDR01970,GTBDR01969),(GTBDR01958,(GTBDR01959,GTBDR01950))),(((((GTBDR02120,GTBDR01953),GTBDR01951),GTBDR00212),((GTBDR01921,GTBDR01916),(GTBDR02039,GTBDR01957))),((GTBDR02119,GTBDR01799),(GTBDR01924,GTBDR01823)))))),(((((GTBDR01785,((((((GTBDR02250,(GTBDR02344,GTBD [...]
+((((((((((GTBDR01998,GTBDR01992),GTBDR02020),GTBDR02018),(GTBDR01993,(GTBDR02019,GTBDR02007))),((GTBDR00779,(GTBDR01828,GTBDR01744)),(GTBDR01063,(((GTBDR00420,(GTBDR01955,GTBDR01759)),GTBDR01756),(((((((GTBDR01989,GTBDR02004),GTBDR02054),(GTBDR02022,(((GTBDR01796,GTBDR01801),(GTBDR01991,GTBDR01994)),(GTBDR01736,GTBDR01727)))),GTBDR01832),(GTBDR01821,GTBDR00308)),(GTBDR01711,((GTBDR00165,(GTBDR00113,GTBDR00111)),(GTBDR00110,GTBDR00109)))),((GTBDR02008,GTBDR00217),((GTBDR02044,((GTBDR01838 [...]
+(((((((((((GTBDR02303,(((GTBDR02589,GTBDR02506),(GTBDR02592,GTBDR02388)),((((GTBDR02596,GTBDR01743),GTBDR00759),(GTBDR01948,GTBDR01947)),((GTBDR01742,GTBDR00807),((((GTBDR00319,GTBDR01918),(GTBDR02045,GTBDR00750)),((GTBDR02118,GTBDR02040),(GTBDR01144,GTBDR02037))),(((GTBDR01979,GTBDR01163),GTBDR02021),(GTBDR01927,GTBDR01154))))))),((GTBDR01133,GTBDR01047),(GTBDR01014,GTBDR01012))),(GTBDR00601,(GTBDR01837,GTBDR00415))),(((((((GTBDR02597,GTBDR02319),GTBDR00199),((GTBDR02401,GTBDR02479),(GT [...]
diff --git a/datasets/mtu_broad/input/treePHYLIP.txt b/datasets/mtu_broad/input/treePHYLIP.txt
new file mode 100644
index 0000000..2f2c1e0
--- /dev/null
+++ b/datasets/mtu_broad/input/treePHYLIP.txt
@@ -0,0 +1 @@
+((((GTBDR02018,(GTBDR02007,GTBDR02019),GTBDR01993,GTBDR01992,GTBDR01998,GTBDR02020),((GTBDR02579,GTBDR01846,GTBDR01838,GTBDR01849),((GTBDR00420,GTBDR01756),GTBDR01759,GTBDR01955),(GTBDR01744,GTBDR01828)),(GTBDR01957,GTBDR02039,((GTBDR01951,GTBDR02120,GTBDR01953),(GTBDR01970,GTBDR01969,GTBDR01950,GTBDR01959),GTBDR00212,(GTBDR01799,GTBDR02119),((GTBDR01956,GTBDR01733,(GTBDR00858,GTBDR02014,GTBDR01967,GTBDR02590)),(GTBDR01958,GTBDR01972),(GTBDR01975,GTBDR00857,GTBDR01777),GTBDR00856,GTBDR02 [...]
diff --git a/datasets/mtu_broad/input/treePHYML.txt b/datasets/mtu_broad/input/treePHYML.txt
new file mode 100644
index 0000000..da40a2e
--- /dev/null
+++ b/datasets/mtu_broad/input/treePHYML.txt
@@ -0,0 +1 @@
+(((((((((((((((((((((((((((((((((((GTBDR01283,((GTBDR01268,GTBDR01266,GTBDR00249,GTBDR00246),(GTBDR00736,((GTBDR02064,((GTBDR00344,GTBDR00810),GTBDR00333)),(GTBDR00862,(GTBDR01938,GTBDR01907,(GTBDR01136,GTBDR01100))))))),((GTBDR02047,GTBDR01718),((((GTBDR01730,(GTBDR01750,GTBDR01790,GTBDR01724,GTBDR01747,GTBDR01767,GTBDR01722)),GTBDR01824),(GTBDR01802,GTBDR01803,GTBDR00452,GTBDR00714,GTBDR01196,GTBDR14708,GTBDR00247,GTBDR01245,GTBDR00718,GTBDR01202,GTBDR02063,GTBDR01616,GTBDR02203,GTBDR0 [...]
diff --git a/datasets/mtu_broad/input/treePHYML_bin.txt b/datasets/mtu_broad/input/treePHYML_bin.txt
new file mode 100644
index 0000000..9421d23
--- /dev/null
+++ b/datasets/mtu_broad/input/treePHYML_bin.txt
@@ -0,0 +1,3 @@
+((GTBDR02046,((GTBDR01937,(((((((((((((((((((((((((((((((((GTBDR01283,(((GTBDR01268,GTBDR00246),(GTBDR01266,GTBDR00249)),(GTBDR00736,((GTBDR02064,((GTBDR00344,GTBDR00810),GTBDR00333)),(GTBDR00862,(((GTBDR01136,GTBDR01100),GTBDR01907),GTBDR01938)))))),((GTBDR02047,GTBDR01718),((((GTBDR01730,(((GTBDR01767,GTBDR01750),(GTBDR01747,GTBDR01724)),(GTBDR01722,GTBDR01790))),GTBDR01824),((((((GTBDR14708,GTBDR02107),(GTBDR02110,GTBDR16799)),((GTBDR02117,GTBDR02272),(GTBDR02042,GTBDR00718))),(((GTBD [...]
+((GTBDR02046,GTBDR01943),(((((((((((((((((((((((((((((((((((GTBDR01283,(((GTBDR00246,GTBDR01268),(GTBDR01266,GTBDR00249)),(GTBDR00736,((GTBDR02064,((GTBDR00344,GTBDR00810),GTBDR00333)),(GTBDR00862,(((GTBDR01136,GTBDR01100),GTBDR01907),GTBDR01938)))))),((GTBDR02047,GTBDR01718),((((GTBDR01730,(((GTBDR01747,GTBDR01722),(GTBDR01790,GTBDR01767)),(GTBDR01724,GTBDR01750))),GTBDR01824),((((((GTBDR02038,GTBDR01831),(GTBDR00452,GTBDR02029)),((GTBDR02237,GTBDR02080),(GTBDR01616,GTBDR01850))),(((GTB [...]
+((GTBDR02046,(((((((((((((((((((((((((((((((((((GTBDR01283,(((GTBDR01266,GTBDR01268),(GTBDR00249,GTBDR00246)),(GTBDR00736,((GTBDR02064,((GTBDR00344,GTBDR00810),GTBDR00333)),(GTBDR00862,((GTBDR01907,GTBDR01938),(GTBDR01136,GTBDR01100))))))),((GTBDR02047,GTBDR01718),((((GTBDR01730,(((GTBDR01747,GTBDR01724),(GTBDR01750,GTBDR01722)),(GTBDR01767,GTBDR01790))),GTBDR01824),((((((GTBDR21931,GTBDR01850),(GTBDR02025,GTBDR02029)),((GTBDR02058,GTBDR01202),(GTBDR14708,GTBDR00214))),(((GTBDR02103,GTBD [...]
diff --git a/datasets/mtu_broad/input/tree_bin.txt b/datasets/mtu_broad/input/tree_bin.txt
new file mode 100644
index 0000000..8f40cd9
--- /dev/null
+++ b/datasets/mtu_broad/input/tree_bin.txt
@@ -0,0 +1,3 @@
+(((((((GTBDR01738,(((((((GTBDR01789,GTBDR01704),(GTBDR01822,(GTBDR01798,GTBDR01703))),GTBDR00221),(GTBDR01815,GTBDR01713)),(GTBDR00460,(((GTBDR01723,GTBDR01762),GTBDR01768),(((GTBDR01855,GTBDR01836),((GTBDR02088,GTBDR01766),(((GTBDR00303,GTBDR01770),GTBDR01934),(GTBDR02084,GTBDR00456)))),(GTBDR01954,GTBDR01784))))),(GTBDR01995,(GTBDR01983,GTBDR01941))),GTBDR01780)),GTBDR01912),(GTBDR02268,GTBDR00264)),((((GTBDR01806,GTBDR01751),GTBDR00776),(GTBDR00343,((((((GTBDR01904,(GTBDR01945,(GTBDR0 [...]
+((((((((((((GTBDR02207,(GTBDR02284,GTBDR00777)),GTBDR02362),GTBDR00835),(((GTBDR02249,GTBDR02227),((GTBDR01362,GTBDR01370),(GTBDR01357,GTBDR01361))),(GTBDR02487,GTBDR02475))),(GTBDR00731,((((GTBDR01010,GTBDR00770),GTBDR01349),(GTBDR00741,GTBDR00740)),GTBDR00357))),(GTBDR01142,GTBDR01108)),(((GTBDR02462,GTBDR01200),((GTBDR00604,(GTBDR00789,GTBDR00763)),(GTBDR02508,(GTBDR02498,GTBDR02357)))),(GTBDR02410,(((((GTBDR01127,(((GTBDR02259,GTBDR02456),((GTBDR02384,GTBDR02243),((GTBDR02497,GTBDR02 [...]
+(((((GTBDR02011,((GTBDR00313,GTBDR00355),GTBDR01380)),(((((((((GTBDR01221,((GTBDR01261,GTBDR01161),GTBDR01064)),(((GTBDR00812,GTBDR00790),(GTBDR02407,GTBDR01278)),(GTBDR00463,(((GTBDR01728,GTBDR01706),GTBDR02055),(GTBDR02371,GTBDR01726))))),GTBDR01965),(((GTBDR00161,((((GTBDR01298,(GTBDR00837,GTBDR00818)),(GTBDR01276,GTBDR01263)),GTBDR00809),(((((GTBDR02356,(((((GTBDR02381,GTBDR02395),GTBDR02426),GTBDR02313),(GTBDR02350,GTBDR02419)),((GTBDR02288,GTBDR02457),(GTBDR02325,GTBDR02286)))),GTB [...]
diff --git a/datasets/sau461/gold/drug_res_G_A.txt b/datasets/sau461/gold/drug_res_G_A.txt
new file mode 100644
index 0000000..35f5224
--- /dev/null
+++ b/datasets/sau461/gold/drug_res_G_A.txt
@@ -0,0 +1,47 @@
+Meticillin	mecA	SAR0039	0	L	G
+Meticillin	mecA	SAR0041	0	L	G
+Meticillin	mecA	SACOL0034	0	L	G
+Meticillin	mecA	SARLGA251_00260	0	L	G
+Meticillin	mecA	SARLGA251_00280	0	L	G
+Meticillin	mecA	SARLGA251_00270	0	L	G
+
+Penicillin	mecA	SAR0039	0	L	G
+Penicillin	mecA	SAR0041	0	L	G
+Penicillin	mecA	SACOL0034	0	L	G
+Penicillin	mecA	SARLGA251_00260	0	L	G
+Penicillin	mecA	SARLGA251_00280	0	L	G
+Penicillin	mecA	SARLGA251_00270	0	L	G
+Penicillin	mecA	SAR1830	0	L	G
+Penicillin	mecA	SAR1831	0	L	G
+Penicillin	mecA	SARLGA251_00250	0	L	G
+Penicillin	mecA	SARLGA251_00260	0	L	G
+Penicillin	mecA	SARLGA251_00280	0	L	G
+Penicillin	mecA	SARLGA251_00270	0	L	G
+
+Oxacillin	mecA	SAR0039	0	L	G
+Oxacillin	mecA	SAR0041	0	L	G
+Oxacillin	mecA	SACOL0034	0	L	G
+Oxacillin	mecA	SARLGA251_00260	0	L	G
+Oxacillin	mecA	SARLGA251_00280	0	L	G
+Oxacillin	mecA	SARLGA251_00270	0	L	G
+
+Erythromycin	ermC	SAR0050	0	L	G
+Erythromycin	ermC	SAR1735	0	L	G
+Erythromycin	ermC	SAUSA300_pUSA030007	0	L	G
+Erythromycin	ermC	HMPREF0773_2657	0	L	G
+Clindamycin	ermC	SAR0050	0	L	G
+Clindamycin	ermC	SAR0050	0	L	G
+Clindamycin	ermC	SAR0050	0	L	G
+Clindamycin	ermC	SAR0050	0	L	G
+Clindamycin	ermC	SAR0050	0	L	G
+
+Gentamicin	ermC	SAA6008_01993	0	L	G
+
+Tetracycline	tet	SAHV_0395	0	L	G
+Tetracycline	tet	SATW20_00660	0	L	G
+Tetracycline	tet	SAR2464	0	L	G
+Tetracycline	tet	SA21252_1148	0	L	G
+Tetracycline	tet	SAR0139	0	L	G
+Tetracycline	tet	SAR2464	0	L	G
+Tetracycline	tet	pKKS627_p3	0	L	G
+Tetracycline	tet	pKKS825_p5	0	L	G
diff --git a/datasets/sau461/gold/drug_res_G_G_A.txt b/datasets/sau461/gold/drug_res_G_G_A.txt
new file mode 100644
index 0000000..aa4f0fc
--- /dev/null
+++ b/datasets/sau461/gold/drug_res_G_G_A.txt
@@ -0,0 +1,16 @@
+Meticillin	SAR0039;SARLGA251_00260
+Penicillin		SAR1831;SAR0039;SARLGA251_00260#SAR1830
+Oxacillin		SAR0039;SARLGA251_00260
+Rifampicin	x
+Erythromycin	SAR0050;SAR1735;SAUSA300_pUSA030007;HMPREF0773_2657#SATW20_00430;
+Clindamycin		SAR0050;SAR1735;HMPREF0773_2657#SATW20_00430;
+Gentamicin		SAA6008_01993
+Ciprofloxacin	x
+Vancomycin	x
+Vancomycin_2	x
+Trimethoprim	SATW20_04710#;SAA6008_01970
+Co-trimoxazole	SATW20_04710#;SAA6008_01970
+Tetracycline	SAHV_0395;SATW20_00660#SAR0139;pKKS627_p3;pKKS825_p5;
+Fusidic_acid 	x
+Bacitracin	USA300HOU_pUSA300HOUMR0023;SLAG_02871
+
diff --git a/datasets/sau461/gold/drug_res_G_H.txt b/datasets/sau461/gold/drug_res_G_H.txt
new file mode 100644
index 0000000..f6ffd85
--- /dev/null
+++ b/datasets/sau461/gold/drug_res_G_H.txt
@@ -0,0 +1,48 @@
+Meticillin	mecA	SAR0039	0	L	G
+Meticillin	mecA	SAR0041	0	L	G
+Meticillin	mecA	SACOL0034	0	L	G
+Meticillin	mecA	SARLGA251_00260	0	L	G
+Meticillin	mecA	SARLGA251_00280	0	L	G
+Meticillin	mecA	SARLGA251_00270	0	L	G
+
+Penicillin	mecA	SAR0039	0	L	G
+Penicillin	mecA	SAR0041	0	L	G
+Penicillin	mecA	SACOL0034	0	L	G
+Penicillin	mecA	SARLGA251_00260	0	L	G
+Penicillin	mecA	SARLGA251_00280	0	L	G
+Penicillin	mecA	SARLGA251_00270	0	L	G
+Penicillin	mecA	SAR1830	0	L	G
+Penicillin	mecA	SAR1831	0	L	G
+Penicillin	mecA	SARLGA251_00250	0	L	G
+Penicillin	mecA	SARLGA251_00260	0	L	G
+Penicillin	mecA	SARLGA251_00280	0	L	G
+Penicillin	mecA	SARLGA251_00270	0	L	G
+
+Oxacillin	mecA	SAR0039	0	L	G
+Oxacillin	mecA	SAR0041	0	L	G
+Oxacillin	mecA	SACOL0034	0	L	G
+Oxacillin	mecA	SARLGA251_00260	0	L	G
+Oxacillin	mecA	SARLGA251_00280	0	L	G
+Oxacillin	mecA	SARLGA251_00270	0	L	G
+
+Erythromycin	ermC	SAR0050	0	L	G
+Erythromycin	ermC	SAR1735	0	L	G
+Erythromycin	ermC	SAUSA300_pUSA030007	0	L	G
+Erythromycin	ermC	HMPREF0773_2657	0	L	G
+Clindamycin	ermC	SAR0050	0	L	G
+Clindamycin	ermC	SAR0050	0	L	G
+Clindamycin	ermC	SAR0050	0	L	G
+Clindamycin	ermC	SAR0050	0	L	G
+Clindamycin	ermC	SAR0050	0	L	G
+
+Gentamicin	ermC	SAA6008_01993	0	L	G
+
+Tetracycline	tet	SAHV_0395	0	L	G
+Tetracycline	tet	SATW20_00660	0	L	G
+Tetracycline	tet	SAR2464	0	L	G
+Tetracycline	tet	SA21252_1148	0	L	G
+Tetracycline	tet	SAR0139	0	L	G
+Tetracycline	tet	SAR2464	0	L	G
+Tetracycline	tet	pKKS627_p3	0	L	G
+Tetracycline	tet	pKKS825_p5	0	L	G
+
diff --git a/datasets/sau461/gold/drug_res_det_G.txt b/datasets/sau461/gold/drug_res_det_G.txt
new file mode 100644
index 0000000..b89b8fc
--- /dev/null
+++ b/datasets/sau461/gold/drug_res_det_G.txt
@@ -0,0 +1,13 @@
+Meticillin	SAR0039;SAR0040;SAR0041;SACOL0034;SARLGA251_00270;SARLGA251_00280;SARLGA251_00260
+Penicillin	SAR0039;SAR0040;SAR0041;SACOL0034;SAR1830;SAR1831;SARLGA251_00250;SARLGA251_00260;SARLGA251_00270;SARLGA251_00280
+Oxacillin	SAR0039;SAR0040;SAR0041;SACOL0034;SARLGA251_00260;SARLGA251_00270;SARLGA251_00280
+Erythromycin	SAR0050;SAR1735;SAUSA300_pUSA030007;HMPREF0773_2657#SATW20_00430;
+Clindamycin		SAR0050;SAR1735;HMPREF0773_2657#SATW20_00430;
+Gentamicin		SAA6008_01993
+Vancomycin	x
+Vancomycin_2	x
+Trimethoprim	SATW20_04710#;SAA6008_01970
+Co-trimoxazole	SATW20_04710#;SAA6008_01970
+Tetracycline	SAHV_0395;SATW20_00660;SAR2464;SA21252_1148;SAR0139;SAR2464;pKKS627_p3;pKKS825_p5
+Fusidic_acid 	SAR0552
+Bacitracin	USA300HOU_pUSA300HOUMR0023;SLAG_02871
diff --git a/datasets/sau461/gold/drug_res_det_P.txt b/datasets/sau461/gold/drug_res_det_P.txt
new file mode 100644
index 0000000..e1d315b
--- /dev/null
+++ b/datasets/sau461/gold/drug_res_det_P.txt
@@ -0,0 +1,4 @@
+Rifampicin	SAR0547:463:550;SAR0548
+Ciprofloxacin	SAR1367:68:107;SAR0006:64:103
+
+
diff --git a/datasets/sau461/gold/drug_res_genes.txt b/datasets/sau461/gold/drug_res_genes.txt
new file mode 100644
index 0000000..1cec0b1
--- /dev/null
+++ b/datasets/sau461/gold/drug_res_genes.txt
@@ -0,0 +1,70 @@
+Meticillin	SAR0039;SARLGA251_00260
+Penicillin		SAR1831;SAR0039;SARLGA251_00260#SAR1830
+Oxacillin		SAR0039;SARLGA251_00260
+Rifampicin	x
+Erythromycin	SAR0050;SAR1735;SAUSA300_pUSA030007;HMPREF0773_2657#SATW20_00430;
+Clindamycin		SAR0050;SAR1735;HMPREF0773_2657#SATW20_00430;
+Gentamicin		SAA6008_01993
+Ciprofloxacin	x
+Vancomycin	x
+Vancomycin_2	x
+Trimethoprim	SATW20_04710#;SAA6008_01970
+Co-trimoxazole	SATW20_04710#;SAA6008_01970
+Tetracycline	SAHV_0395;SATW20_00660#SAR0139;pKKS627_p3;pKKS825_p5;
+Fusidic_acid 	x
+Bacitracin	USA300HOU_pUSA300HOUMR0023;SLAG_02871
+
+
+
+Erythromycin:SAUSA300_pUSA030007:ermC
+Tetracycline:tetX
+Ciprofloxacin:mfpA
+Erythromycin:rna23
+aaCa-aphd:SAA6008_01993
+genta:16SrRNA
+tetK:SATW20_00660
+tetR:SAR2464(possible)
+tetM:SAHV_0395
+tet38:SAR0139
+ermA1:SAR0050
+ermA2:SAR1735
+blaR1:SAR1830
+blaZ:SAR1831
+fusA:SAR0552
+rpsG:SAR0551
+rpsS:SAR2331
+rpsN:SAR1346
+dfrA:SAR1439
+rpsH:SAR2321
+rpsC:SAR2329
+thyA:SAR1440
+folC:SAR1742
+folP:SAR0515
+parC:SAR1367
+gyrA:SAR0006
+parE:SAR1366
+norA:SAR0748
+gyrB:SAR0005
+rpob:SAR0547
+rpoc:SAR0548
+pbpA:SAR1157
+pbp2:SAR1461
+pbp3:SAR1629
+mecA:SAR0039
+rplV:SAR2330
+rpsL:SAR0550
+rplD:SAR2334
+SA0264-Penicillinamidase
+2616:cadD-plasmid
+3247:binL-plasmid
+3695:cadX-plasmid
+3028:blaZ-plasmid
+3975:qacA-plasmid
+2983:tetM
+183:tet38
+1132:tetR
+3873:tetK
+2449:dfrK
+3374:blaR1-plasmid
+;SA2441;rpsN;rpsS;3247;2616;3695;hysA;3028;ermA;3975;2983;2449;plsX;SA0614;3374;SA1702;agrC;
+
diff --git a/datasets/sau461/gold/drug_res_rel_G.txt b/datasets/sau461/gold/drug_res_rel_G.txt
new file mode 100644
index 0000000..b89b8fc
--- /dev/null
+++ b/datasets/sau461/gold/drug_res_rel_G.txt
@@ -0,0 +1,13 @@
+Meticillin	SAR0039;SAR0040;SAR0041;SACOL0034;SARLGA251_00270;SARLGA251_00280;SARLGA251_00260
+Penicillin	SAR0039;SAR0040;SAR0041;SACOL0034;SAR1830;SAR1831;SARLGA251_00250;SARLGA251_00260;SARLGA251_00270;SARLGA251_00280
+Oxacillin	SAR0039;SAR0040;SAR0041;SACOL0034;SARLGA251_00260;SARLGA251_00270;SARLGA251_00280
+Erythromycin	SAR0050;SAR1735;SAUSA300_pUSA030007;HMPREF0773_2657#SATW20_00430;
+Clindamycin		SAR0050;SAR1735;HMPREF0773_2657#SATW20_00430;
+Gentamicin		SAA6008_01993
+Vancomycin	x
+Vancomycin_2	x
+Trimethoprim	SATW20_04710#;SAA6008_01970
+Co-trimoxazole	SATW20_04710#;SAA6008_01970
+Tetracycline	SAHV_0395;SATW20_00660;SAR2464;SA21252_1148;SAR0139;SAR2464;pKKS627_p3;pKKS825_p5
+Fusidic_acid 	SAR0552
+Bacitracin	USA300HOU_pUSA300HOUMR0023;SLAG_02871
diff --git a/datasets/sau461/gold/drug_res_rel_P.txt b/datasets/sau461/gold/drug_res_rel_P.txt
new file mode 100644
index 0000000..e1d315b
--- /dev/null
+++ b/datasets/sau461/gold/drug_res_rel_P.txt
@@ -0,0 +1,4 @@
+Rifampicin	SAR0547:463:550;SAR0548
+Ciprofloxacin	SAR1367:68:107;SAR0006:64:103
+
+
diff --git a/datasets/sau461/gold/gold_assocs_A.txt b/datasets/sau461/gold/gold_assocs_A.txt
new file mode 100644
index 0000000..a01d61a
--- /dev/null
+++ b/datasets/sau461/gold/gold_assocs_A.txt
@@ -0,0 +1,48 @@
+Meticillin	mecA	SAR0039	0	L	G
+Meticillin	mecA	SAR0041	0	L	G
+Meticillin	mecA	SACOL0034	0	L	G
+Meticillin	mecA	SARLGA251_00260	0	L	G
+Meticillin	mecA	SARLGA251_00280	0	L	G
+Meticillin	mecA	SARLGA251_00270	0	L	G
+
+Penicillin	mecA	SAR0039	0	L	G
+Penicillin	mecA	SAR0041	0	L	G
+Penicillin	mecA	SACOL0034	0	L	G
+Penicillin	mecA	SARLGA251_00260	0	L	G
+Penicillin	mecA	SARLGA251_00280	0	L	G
+Penicillin	mecA	SARLGA251_00270	0	L	G
+Penicillin	mecA	SAR1830	0	L	G
+Penicillin	mecA	SAR1831	0	L	G
+Penicillin	mecA	SARLGA251_00250	0	L	G
+Penicillin	mecA	SARLGA251_00260	0	L	G
+Penicillin	mecA	SARLGA251_00280	0	L	G
+Penicillin	mecA	SARLGA251_00270	0	L	G
+
+Oxacillin	mecA	SAR0039	0	L	G
+Oxacillin	mecA	SAR0041	0	L	G
+Oxacillin	mecA	SACOL0034	0	L	G
+Oxacillin	mecA	SARLGA251_00260	0	L	G
+Oxacillin	mecA	SARLGA251_00280	0	L	G
+Oxacillin	mecA	SARLGA251_00270	0	L	G
+
+Erythromycin	ermC	SAR0050	0	L	G
+Erythromycin	ermC	SAR1735	0	L	G
+Erythromycin	ermC	SAUSA300_pUSA030007	0	L	G
+Erythromycin	ermC	HMPREF0773_2657	0	L	G
+Clindamycin	ermC	SAR0050	0	L	G
+Clindamycin	ermC	SAR0050	0	L	G
+Clindamycin	ermC	SAR0050	0	L	G
+Clindamycin	ermC	SAR0050	0	L	G
+Clindamycin	ermC	SAR0050	0	L	G
+
+Gentamicin	aaCa-aphd	SAA6008_01993	0	L	G
+
+Tetracycline	tet	SAHV_0395	0	L	G
+Tetracycline	tet	SATW20_00660	0	L	G
+Tetracycline	tet	SAR2464	0	L	G
+Tetracycline	tet	SA21252_1148	0	L	G
+Tetracycline	tet	SAR0139	0	L	G
+Tetracycline	tet	SAR2464	0	L	G
+Tetracycline	tet	pKKS627_p3	0	L	G
+Tetracycline	tet	pKKS825_p5	0	L	G
+
diff --git a/datasets/sau461/gold/gold_assocs_H.txt b/datasets/sau461/gold/gold_assocs_H.txt
new file mode 100644
index 0000000..a01d61a
--- /dev/null
+++ b/datasets/sau461/gold/gold_assocs_H.txt
@@ -0,0 +1,48 @@
+Meticillin	mecA	SAR0039	0	L	G
+Meticillin	mecA	SAR0041	0	L	G
+Meticillin	mecA	SACOL0034	0	L	G
+Meticillin	mecA	SARLGA251_00260	0	L	G
+Meticillin	mecA	SARLGA251_00280	0	L	G
+Meticillin	mecA	SARLGA251_00270	0	L	G
+
+Penicillin	mecA	SAR0039	0	L	G
+Penicillin	mecA	SAR0041	0	L	G
+Penicillin	mecA	SACOL0034	0	L	G
+Penicillin	mecA	SARLGA251_00260	0	L	G
+Penicillin	mecA	SARLGA251_00280	0	L	G
+Penicillin	mecA	SARLGA251_00270	0	L	G
+Penicillin	mecA	SAR1830	0	L	G
+Penicillin	mecA	SAR1831	0	L	G
+Penicillin	mecA	SARLGA251_00250	0	L	G
+Penicillin	mecA	SARLGA251_00260	0	L	G
+Penicillin	mecA	SARLGA251_00280	0	L	G
+Penicillin	mecA	SARLGA251_00270	0	L	G
+
+Oxacillin	mecA	SAR0039	0	L	G
+Oxacillin	mecA	SAR0041	0	L	G
+Oxacillin	mecA	SACOL0034	0	L	G
+Oxacillin	mecA	SARLGA251_00260	0	L	G
+Oxacillin	mecA	SARLGA251_00280	0	L	G
+Oxacillin	mecA	SARLGA251_00270	0	L	G
+
+Erythromycin	ermC	SAR0050	0	L	G
+Erythromycin	ermC	SAR1735	0	L	G
+Erythromycin	ermC	SAUSA300_pUSA030007	0	L	G
+Erythromycin	ermC	HMPREF0773_2657	0	L	G
+Clindamycin	ermC	SAR0050	0	L	G
+Clindamycin	ermC	SAR0050	0	L	G
+Clindamycin	ermC	SAR0050	0	L	G
+Clindamycin	ermC	SAR0050	0	L	G
+Clindamycin	ermC	SAR0050	0	L	G
+
+Gentamicin	aaCa-aphd	SAA6008_01993	0	L	G
+
+Tetracycline	tet	SAHV_0395	0	L	G
+Tetracycline	tet	SATW20_00660	0	L	G
+Tetracycline	tet	SAR2464	0	L	G
+Tetracycline	tet	SA21252_1148	0	L	G
+Tetracycline	tet	SAR0139	0	L	G
+Tetracycline	tet	SAR2464	0	L	G
+Tetracycline	tet	pKKS627_p3	0	L	G
+Tetracycline	tet	pKKS825_p5	0	L	G
+
diff --git a/datasets/sau461/input/cluster_gene_ref_ids.txt b/datasets/sau461/input/cluster_gene_ref_ids.txt
new file mode 100644
index 0000000..33b6300
--- /dev/null
+++ b/datasets/sau461/input/cluster_gene_ref_ids.txt
@@ -0,0 +1,3188 @@
+cluster_id	gene_name	aureus_MRSA252	aureus_Mu50	aureus_Mu3	aureus_TW20
+3171	dnaA	SAR0001	SAV0001	SAHV_0001	SATW20_00010
+1183	dnaN	SAR0002	SAV0002	SAHV_0002	SATW20_00020
+4363	yaaA	SAR0003	SAV0003	SAHV_0003	SATW20_00030
+104	recF	SAR0004	SAV0004	SAHV_0004	SATW20_00040
+1371	gyrB	SAR0005	SAV0005	SAHV_0005	SATW20_00050
+107	gyrA	SAR0006	SAV0006	SAHV_0006	SATW20_00060
+3042	dnaA	SAR0007	SAV0007	SAHV_0007	SATW20_00070
+2105	hutH	SAR0008	SAV0008	SAHV_0008	SATW20_00080
+184	serS	SAR0009	SAV0009	SAHV_0009	SATW20_00090
+1275	azlC	SAR0010	SAV0010	SAHV_0010	SATW20_00100
+2492	azlD	SAR0011	SAV0011	SAHV_0011	SATW20_00110
+2306	metX	SAR0012	SAV0012	SAHV_0012	SATW20_00120
+560	aroC	SAR0013	SAV0013	SAHV_0013	SATW20_00130
+4209	x	SAR0014	SAV0014	SAHV_0014	SATW20_00140
+3856	rplI	SAR0015	SAV0015	SAHV_0015	SATW20_00150
+2034	dnaB	SAR0016	SAV0016	SAHV_0016	SATW20_00160
+3166	purA	SAR0017	SAV0017	SAHV_0017	SATW20_00170
+1652	walR	SAR0018	SAV0018	SAHV_0018	SATW20_00180
+3041	walK	SAR0019	SAV0019	SAHV_0019	SATW20_00190
+22	yycH	SAR0020	SAV0020	SAHV_0020	SATW20_00200
+3227	yycI	SAR0021	SAV0021	SAHV_0021	SATW20_00210
+325	yycJ	SAR0022	SAV0022	SAHV_0022	SATW20_00220
+364	sasH	SAR0023	SAV0023	SAHV_0023	SATW20_00230
+2712	rlmH	SAR0024	SAV0024	SAHV_0024	SATW20_00250
+1692	ansA	SAR0025	SAV0025	SAHV_0025	x
+4822	x	SAR0026	SAV0026	SAHV_0026	x
+4531	x	SAR0030	SAV0030	SAHV_0030	x
+4472	pre	SAR0031	SAV0031	SAHV_0031	x
+9473	x	SAR0031b	SAV0033	SAHV_0033	x
+1603	ble	SAR0032	SAV0034	SAHV_0034	x
+4350	knt	SAR0033	SAV0035	SAHV_0035	x
+355	tnp	SAR0034	SAV0036	x	SATW20_p1030
+9073	x	SAR0036	x	x	SATW20_00710
+6364	ugpQ	SAR0037	SAV0039	SAHV_0038	SATW20_00720
+8573	maoC	SAR0038	SAV0040	SAHV_0039	SATW20_00730
+360	mecA	SAR0039	SAV0041	SAHV_0040	SATW20_00740
+3853	mecR1	SAR0040	SAV0042	SAHV_0041	SATW20_00750
+5571	mecI	SAR0041	SAV0043	SAHV_0042	x
+11279	fudoh	SAR0042	x	x	x
+6247	x	SAR0046	SAV0047	SAHV_0046	SATW20_00790
+2491	x	SAR0047	SAV0048	SAHV_0047	SATW20_00800
+3827:1	x	SAR0049	SAV0050	SAHV_1640	SATW20_16470
+854	ermA	SAR0050	SAV0052	SAHV_0051	SATW20_16480
+1762:1	ant(9)	SAR0051	SAV0053	SAHV_1643	SATW20_16490
+2057:1	tnpC	SAR0052	SAV0054	SAHV_1644	SATW20_16500
+2551	tnpB	SAR0053	SAV0055	SAHV_0054	SATW20_00400
+4736	tnpA	SAR0054	SAV1659	SAHV_1646	SATW20_16520
+101:1	x	SAR0056	SAV0058	SAHV_0057	x
+1578	x	SAR0057	SAV0059	SAHV_0058	SATW20_00360
+3482	x	SAR0058	SAV0060	SAHV_0059	x
+3836	ccrB	SAR0059	SAV0061	SAHV_0060	SATW20_00910
+3428	ccrA	SAR0060	SAV0062	SAHV_0061	SATW20_00920
+5324	x	SAR0061	SAV0063	SAHV_0062	x
+7370	x	SAR0062	SAV0064	SAHV_0063	x
+8623	x	SAR0063	SAV0065	SAHV_0064	x
+4208	pXO1-128	SAR0066	SAV0068	SAHV_0067	x
+6102	kdpE	SAR0068	SAV0070	SAHV_0069	x
+2586	kdpD	SAR0069	SAV0071	SAHV_0070	x
+1399	kdpA	SAR0070	SAV0072	SAHV_0071	x
+2877	kdpB	SAR0071	SAV0073	SAHV_0072	x
+1942	cch	SAR0074	SAV0075	SAHV_0074	x
+6522	x	SAR0075	SAV0076	SAHV_0075	x
+6194	x	SAR0076	SAV0078	SAHV_0077	x
+10032	x	SAR0077	SAV0079	SAHV_0078	x
+11605	x	SAR0078	SAV0080	SAHV_0079	x
+1280	x	SAR0079	SAV0081	SAHV_0080	x
+4525	x	SAR0080	x	x	x
+402	x	SAR0081	x	x	x
+2706	x	SAR0082	SAV1804	SAHV_1789	x
+11432	x	SAR0084	x	x	x
+5660	x	SAR0086	x	x	x
+3011	mcrB	SAR0087	x	x	SATW20_00980
+2052	x	SAR0088	x	x	SATW20_00990
+8802	srrA	SAR0090	x	x	SATW20_01000
+4212	yycJ	SAR0092	x	x	SATW20_01020
+4213	sasH	SAR0093	x	x	SATW20_01030
+2454	lmrB	SAR0094	x	x	SATW20_01040
+6777	scpA	SAR0097	x	x	SATW20_01060
+3063	x	SAR0098	x	x	SATW20_01070
+1331	dus	SAR0099	SAV0089	SAHV_0088	SATW20_01080
+5949	x	SAR0100	x	x	SATW20_01090
+3297	tFox	SAR0101	SAV0091	SAHV_0090	SATW20_01100
+386	x	SAR0102	SAV0092	SAHV_0091	SATW20_01110
+2019:1	x	SAR0103	SAV0093	SAHV_0092	SATW20_01120
+2906	x	SAR0104	SAV0094	SAHV_0093	SATW20_01130
+2050	plc	SAR0105	SAV0095	SAHV_0094	SATW20_01140
+92	x	SAR0106	SAV0096	SAHV_0095	SATW20_01150
+1450	zwf	SAR0107	SAV0101	SAHV_0100	SATW20_01160
+3233	hipO	SAR0108	SAV0102	SAHV_0101	SATW20_01170
+1661	norB_3	SAR0109	SAV0103	SAHV_0102	SATW20_01180
+1199	nptA	SAR0110	SAV0104	SAHV_0103	SATW20_01190
+724	x	SAR0111	SAV0106	SAHV_0105	SATW20_01200
+4353	marR	SAR0112	SAV0109	SAHV_0108	SATW20_01210
+177	lctP	SAR0113	SAV0110	SAHV_0109	SATW20_01220
+670:1	spa	SAR0114	SAV0111	SAHV_0110	SATW20_01230
+2185	sarS	SAR0115	SAV0112	SAHV_0111	SATW20_01240
+1886	sirC	SAR0116	SAV0113	SAHV_0112	SATW20_01250
+1805	sirB	SAR0117	SAV0114	SAHV_0113	SATW20_01260
+3158	sirA	SAR0118	SAV0115	SAHV_0114	SATW20_01270
+2753	sbnA	SAR0119	SAV0116	SAHV_0115	SATW20_01280
+908	ocd2	SAR0120	SAV0117	SAHV_0116	SATW20_01290
+2020	sbnC	SAR0121	SAV0118	SAHV_0117	SATW20_01300
+595	sbnD	SAR0122	SAV0119	SAHV_0118	SATW20_01310
+1738	sbnE	SAR0123	SAV0120	SAHV_0119	SATW20_01320
+468	sbnF	SAR0124	SAV0121	SAHV_0120	SATW20_01330
+755	sbnG	SAR0125	SAV0122	SAHV_0121	SATW20_01340
+852	sbnH	SAR0126	SAV0123	SAHV_0122	SATW20_01350
+613	sbnl	SAR0127	SAV0124	SAHV_0123	SATW20_01360
+2044	recN	SAR0128	SAV0125	SAHV_0124	SATW20_01370
+2077	budC	SAR0129	SAV0126	SAHV_0125	SATW20_01380
+2053	galE	SAR0130	SAV0128	SAHV_0127	SATW20_01390
+1924	cap5M	SAR0131	SAV0129	SAHV_0128	SATW20_01400
+477	cap8H	SAR0132	SAV0130	SAHV_0129	SATW20_01410
+1998	cps2H	SAR0133	SAV0131	SAHV_0130	SATW20_01420
+3353	x	SAR0134	SAV0132	SAHV_0131	SATW20_01430
+2956	sodM	SAR0135	SAV0133	SAHV_0132	SATW20_01440
+5442	sasD	SAR0136	SAV0134	SAHV_0133	SATW20_01450
+812	xylR	SAR0137	SAV0135	SAHV_0134	SATW20_01460
+1484	deoD_1	SAR0138	SAV0136	SAHV_0135	SATW20_01470
+764	tet38	SAR0139	SAV0137	SAHV_0136	SATW20_01480
+606	deoC_1	SAR0140	SAV2137	SAHV_0137	SATW20_01490
+382	deoB	SAR0141	SAV0139	SAHV_0138	SATW20_01500
+1171	phnE_2	SAR0142	SAV0140	SAHV_0139	SATW20_01510
+2070	phnE_1	SAR0143	SAV0141	SAHV_0140	SATW20_01520
+576	phnC	SAR0144	SAV0142	SAHV_0141	SATW20_01530
+1558	phnD	SAR0145	SAV0143	SAHV_0142	SATW20_01540
+18	x	SAR0146	SAV0144	SAHV_0143	SATW20_01550
+2624	cpdB	SAR0147	SAV0145	SAHV_0144	SATW20_01560
+3220	x	SAR0148	SAV0146	SAHV_0145	SATW20_01570
+3089	gcvT	SAR0149	SAV0147	SAHV_0146	SATW20_01580
+1562	adhE	SAR0150	SAV0148	SAHV_0147	SATW20_01590
+660	cap8A_1	SAR0151	SAV0149	SAHV_0148	SATW20_01600
+4561	capB	SAR0152	SAV0150	SAHV_0149	SATW20_01610
+3739	capC	SAR0153	SAV0151	SAHV_0150	SATW20_01620
+292	capD	SAR0154	SAV0152	SAHV_0151	SATW20_01630
+1840	capE	SAR0155	SAV0153	SAHV_0152	SATW20_01640
+713	capF	SAR0156	SAV0154	SAHV_0153	SATW20_01650
+889	capG	SAR0157	SAV0155	SAHV_0154	SATW20_01660
+3079	cap8H	SAR0158	x	x	SATW20_01670
+2281	cap8I	SAR0159	x	x	SATW20_01680
+399	cap8J	SAR0160	x	x	SATW20_01690
+2398	cap8K	SAR0161	x	x	SATW20_01700
+948	capL	SAR0162	SAV0160	SAHV_0159	SATW20_01710
+2967	capM	SAR0163	SAV0161	SAHV_0160	SATW20_01720
+1029	capN	SAR0164	SAV0162	SAHV_0161	SATW20_01730
+1797	wecC	SAR0165	SAV0163	SAHV_0162	SATW20_01740
+2732	capP	SAR0166	SAV0164	SAHV_0163	SATW20_01750
+1319	isdI	SAR0167	SAV0165	SAHV_0164	SATW20_01760
+1281	x	SAR0168	SAV0166	SAHV_0165	SATW20_01770
+2136	aldA	SAR0169	SAV0167	SAHV_0166	SATW20_01780
+550	x	SAR0170	SAV0168	SAHV_0167	SATW20_01790
+3939	x	SAR0171	SAV0170	SAHV_0169	SATW20_01800
+1904	srpF	SAR0172	SAV0171	SAHV_0170	SATW20_01810
+2488	tauB	SAR0173	SAV0172	SAHV_0171	SATW20_01820
+1956	tauA	SAR0174	SAV0173	SAHV_0172	SATW20_01830
+71	x	SAR0175	SAV0174	SAHV_0173	SATW20_01840
+2228	dnaG	SAR0176	SAV0175	SAHV_0174	SATW20_01850
+1285	x	SAR0177	SAV0176	SAHV_0175	SATW20_01860
+469	fdh1	SAR0178	SAV0177	SAHV_0176	SATW20_01870
+3684	glyS	SAR0179	SAV0178	SAHV_0177	SATW20_01880
+190	ausA	SAR0180	SAV0179	SAHV_0178	SATW20_01890
+3087	acpS	SAR0181	SAV0180	SAHV_0179	SATW20_01900
+4185	cadC	SAR0182	SAV0181	SAHV_0180	SATW20_01910
+4367	argB	SAR0183	SAV0182	SAHV_0181	SATW20_01920
+1327	argJ	SAR0184	SAV0183	SAHV_0182	SATW20_01930
+1753	argC	SAR0185	SAV0184	SAHV_0183	SATW20_01940
+103	rocD_1	SAR0186	SAV0185	SAHV_0184	SATW20_01950
+2769	brnQ_1	SAR0187	SAV0186	SAHV_0185	SATW20_01960
+1015	entB	SAR0188	SAV0187	SAHV_0186	SATW20_01970
+1606	kdcA	SAR0189	SAV0188	SAHV_0187	SATW20_01980
+1874	ptsG	SAR0190	SAV0189	SAHV_0188	SATW20_01990
+830	dgkA	SAR0191	SAV0190	SAHV_0189	SATW20_02000
+189	murQ	SAR0192	SAV0191	SAHV_0190	SATW20_02010
+1328	sacX	SAR0193	SAV0192	SAHV_0191	SATW20_02020
+3117	x	SAR0194	SAV0193	SAHV_0192	SATW20_02030
+6861	x	SAR0195	SAV0194	SAHV_0193	SATW20_02040
+538	hsdR	SAR0196	SAV0195	SAHV_0194	SATW20_02050
+3754	sepS16A	SAR0197	x	x	SATW20_02060
+1105	nikE	SAR0198	SAV0205	SAHV_0204	SATW20_02070
+1376	oppB	SAR0199	SAV0206	SAHV_0205	SATW20_02080
+1535:1	x	SAR0200	SAV0207	SAHV_0206	SATW20_02090
+1459	rlp	SAR0201	SAV0208	SAHV_0207	SATW20_02100
+1028	ggt	SAR0202	SAV0209	SAHV_0208	SATW20_02110
+1173	azoR2	SAR0203	SAV0211	SAHV_0210	SATW20_02120
+1771	dnaJ	SAR0204	SAV0212	SAHV_0211	SATW20_02130
+4040	msmX	SAR0205	SAV0213	SAHV_0212	SATW20_02140
+3429	grpE	SAR0206	SAV0214	SAHV_0213	SATW20_02150
+2635	malC	SAR0207	SAV0215	SAHV_0214	SATW20_02160
+879	malD	SAR0208	SAV0216	SAHV_0215	SATW20_02170
+155	x	SAR0209	SAV0217	SAHV_0216	SATW20_02180
+3479	mviM	SAR0210	SAV0218	SAHV_0217	SATW20_02190
+787	iolE	SAR0211	SAV0219	SAHV_0218	SATW20_02200
+893	x	SAR0212	SAV0220	SAHV_0219	SATW20_02210
+2413	uhpT	SAR0213	SAV0222	SAHV_0221	SATW20_02220
+3266	x	SAR0214	SAV0223	SAHV_0222	SATW20_02230
+976	walK	SAR0215	SAV0224	SAHV_0223	SATW20_02240
+3859	x	SAR0216	SAV0225	SAHV_0224	SATW20_02250
+1003	pflB	SAR0217	SAV0226	SAHV_0225	SATW20_02260
+1885	pflA	SAR0218	SAV0227	SAHV_0226	SATW20_02270
+8433	x	SAR0219	x	x	SATW20_02280
+368:1	glpQ1	SAR0220	SAV0228	SAHV_0227	SATW20_02290
+2294	x	SAR0221	SAV0229	SAHV_0228	SATW20_02300
+359	coa	SAR0222	SAV0230	SAHV_0229	SATW20_02310
+1464	fadA	SAR0223	SAV0231	SAHV_0230	SATW20_02320
+741	fadB	SAR0224	SAV0232	SAHV_0231	SATW20_02330
+2856	fadD	SAR0225	SAV0233	SAHV_0232	SATW20_02340
+1043:1	fadE	SAR0226	SAV0234	SAHV_0233	SATW20_02350
+466	fadX	SAR0227	SAV0235	SAHV_0234	SATW20_02360
+935	pdxT	SAR0228	x	x	SATW20_02370
+2378	x	SAR0229	SAV0236	SAHV_0235	SATW20_02380
+1480:1	x	SAR0230	SAV0237	SAHV_0236	SATW20_02390
+4515	x	SAR0231	SAV0238	SAHV_0237	SATW20_02400
+1204	x	SAR0232	x	x	SATW20_02410
+2516	yhb1	SAR0233	SAV0240	SAHV_0239	SATW20_02420
+266	lctE	SAR0234	SAV0241	SAHV_0240	SATW20_02430
+387	ptsG_1	SAR0235	SAV0242	SAHV_0241	SATW20_02440
+933	rihA	SAR0236	SAV0243	SAHV_0242	SATW20_02450
+1549	mtn	SAR0240	SAV0245	SAHV_0244	SATW20_02470
+3605	gatB	SAR0241	SAV0246	SAHV_0245	SATW20_02480
+3536	gatC	SAR0242	SAV0247	SAHV_0246	SATW20_02490
+1067	gutB	SAR0243	SAV0248	SAHV_0247	SATW20_02500
+1536	gatD	SAR0245	SAV0250	SAHV_0249	SATW20_02520
+906	ispD1	SAR0246	SAV0251	SAHV_0250	SATW20_02530
+1678	tarJ2	SAR0247	SAV0252	SAHV_0251	SATW20_02540
+1888	tarK	SAR0248	SAV0253	SAHV_0252	SATW20_02550
+7777	x	SAR0249	x	x	x
+1579	tagF	SAR0251	SAV0254	SAHV_0253	SATW20_02560
+3183	ispD2	SAR0252	SAV0255	SAHV_0254	SATW20_02570
+1929	tarJ	SAR0253	SAV0256	SAHV_0255	SATW20_02580
+2223	tarL	SAR0254	SAV0257	SAHV_0256	SATW20_02590
+34	x	SAR0255	SAV0258	SAHV_0257	SATW20_02600
+729	ric	SAR0256	SAV0259	SAHV_0258	SATW20_02610
+559	lytS	SAR0257	SAV0260	SAHV_0259	SATW20_02620
+1340	lytR	SAR0258	SAV0261	SAHV_0260	SATW20_02630
+4242	lrgA	SAR0259	SAV0262	SAHV_0261	SATW20_02640
+2534	lrgB	SAR0260	SAV0263	SAHV_0262	SATW20_02650
+667	norB	SAR0261	x	x	SATW20_02660
+361	x	SAR0262	SAV0264	SAHV_0263	SATW20_02670
+1733	ptbA	SAR0263	SAV0265	SAHV_0264	SATW20_02680
+1023	bglA	SAR0264	SAV0266	SAHV_0265	SATW20_02690
+1487	ubiE	SAR0265	SAV0267	SAHV_0266	SATW20_02700
+2657	rbsK	SAR0266	SAV0268	SAHV_0267	SATW20_02710
+2660	rbsD	SAR0267	SAV0269	SAHV_0268	SATW20_02720
+2902	rbsU	SAR0268	SAV0270	SAHV_0269	SATW20_02730
+4843	rbsR	SAR0269	SAV0271	SAHV_0270	SATW20_02740
+1830	mnmA	SAR0270	SAV0273	SAHV_0271	SATW20_02750
+1742	x	SAR0271	SAV0274	SAHV_0272	SATW20_02760
+809	x	SAR0272	SAV0275	SAHV_0273	SATW20_02770
+1405	lytM	SAR0273	SAV0276	SAHV_0274	SATW20_02780
+719	x	SAR0274	SAV0277	SAHV_0275	SATW20_02790
+529	x	SAR0275	SAV0278	SAHV_0276	SATW20_02800
+1969	x	SAR0276	SAV0279	SAHV_0277	SATW20_02810
+1308	x	SAR0277	SAV0280	SAHV_0278	SATW20_02820
+2255	ssaA	SAR0278	SAV0281	SAHV_0279	SATW20_02830
+3703	esxA	SAR0279	SAV0282	SAHV_0280	SATW20_02840
+572	esaA	SAR0280	SAV0283	SAHV_0281	SATW20_02850
+3269	essA	SAR0281	SAV0284	SAHV_0282	SATW20_02860
+5772	esaB	SAR0282	SAV0285	SAHV_0283	SATW20_02870
+1032	essB	SAR0283	SAV0286	SAHV_0284	SATW20_02880
+1072	essC	SAR0284	SAV0287	SAHV_0285	SATW20_02890
+8230	hisS	SAR0285	x	x	SATW20_02900
+4318	x	SAR0286	x	x	SATW20_02910
+2592	x	SAR0287	x	x	SATW20_02920
+2919	relA	SAR0288	x	x	SATW20_02930
+4771	apt	SAR0289	x	x	SATW20_02940
+1169	recJ	SAR0290	x	x	SATW20_02950
+2849	secDF	SAR0291	x	x	SATW20_02960
+4177	x	SAR0292	SAV0297	SAHV_0294	SATW20_02970
+0:1	queA	SAR0294	SAV0302	SAHV_0297	SATW20_03000
+3009	x	SAR0299	SAV0303	SAHV_0300	SATW20_03080
+864	x	SAR0301	SAV0304	SAHV_0301	SATW20_03090
+2290	fnt	SAR0302	SAV0305	SAHV_0302	SATW20_03100
+444	brnQ_2	SAR0303	SAV0306	SAHV_0303	SATW20_03110
+1154	x	SAR0304	SAV0307	SAHV_0304	SATW20_03120
+97	x	SAR0305	SAV0308	SAHV_0305	SATW20_03130
+2958	lolD	SAR0306	SAV0309	SAHV_0306	SATW20_03140
+2658	pfoR	SAR0307	SAV0310	SAHV_0307	SATW20_03150
+3385	x	SAR0308	SAV0311	SAHV_0308	SATW20_03160
+2506	psuG	SAR0309	SAV0312	SAHV_0309	SATW20_03170
+66	nupC	SAR0310	SAV0313	SAHV_0310	SATW20_03180
+3081	x	SAR0311	SAV0314	SAHV_0311	SATW20_03190
+1439	nanA	SAR0312	SAV0315	SAHV_0312	SATW20_03200
+1774	tnpC-3	SAR0313	SAV0316	SAHV_0313	SATW20_03210
+2988	rpiR	SAR0314	SAV0317	SAHV_0314	SATW20_03220
+240	nanE	SAR0315	SAV0318	SAHV_0315	SATW20_03230
+725	sirA	SAR0316	SAV0319	SAHV_0316	SATW20_03240
+1385	lip2	SAR0317	SAV0320	SAHV_0317	x
+4733	sbnA	SAR0318	SAV0321	SAHV_0318	SATW20_03890
+2415	yqiG	SAR0319	SAV0322	SAHV_0319	SATW20_03900
+410	x	SAR0320	SAV0323	SAHV_0320	SATW20_03910
+1860	x	SAR0321	SAV0324	SAHV_0321	SATW20_03920
+2848	folC	SAR0322	SAV0325	SAHV_0322	SATW20_03930
+1677	valS	SAR0323	SAV0326	SAHV_0323	SATW20_03940
+1393	lplA1	SAR0324	SAV0327	SAHV_0324	SATW20_03950
+1278	x	SAR0325	SAV0328	SAHV_0325	SATW20_03960
+3025	ulaA	SAR0326	SAV0329	SAHV_0326	SATW20_03970
+2058	x	SAR0327	SAV0330	SAHV_0327	SATW20_03980
+452	x	SAR0328	SAV0331	SAHV_0328	SATW20_03990
+531	x	SAR0329	SAV0332	SAHV_0329	SATW20_04000
+181	mepR	SAR0330	SAV0333	SAHV_0330	SATW20_04010
+1270	mepA	SAR0331	SAV0334	SAHV_0331	SATW20_04020
+1978	mepB	SAR0332	SAV0335	SAHV_0332	SATW20_04030
+710	glpT	SAR0333	x	x	SATW20_04040
+154	gloA	SAR0334	SAV0338	SAHV_0335	SATW20_04050
+275	hemC	SAR0335	SAV0339	SAHV_0336	SATW20_04060
+736	yeiH	SAR0338	SAV0341	SAHV_0338	SATW20_04080
+3779	ydaF	SAR0339	SAV0342	SAHV_0339	SATW20_04100
+2792	clpX	SAR0340	SAV0343	SAHV_0340	x
+1595	tig	SAR0341	SAV0344	SAHV_0341	SATW20_04120
+234	efeU	SAR0342	SAV0345	SAHV_0342	SATW20_04130
+1442	tatC	SAR0343	SAV0346	SAHV_0343	SATW20_04140
+2111	tatA	SAR0344	SAV0347	SAHV_0344	SATW20_04150
+1197	x	SAR0345	SAV0348	SAHV_0345	SATW20_04160
+1144	x	SAR0346	SAV0349	SAHV_0346	x
+2202	x	SAR0347	SAV0350	SAHV_0347	SATW20_04180
+899	rplT	SAR0348	SAV0351	SAHV_0348	SATW20_04190
+1591	rpmI	SAR0349	SAV0352	SAHV_0349	SATW20_04200
+958	ltrA	SAR0350	SAV0353	SAHV_0350	SATW20_04210
+1609	thlA	SAR0351	SAV0354	SAHV_0351	SATW20_04220
+1045	x	SAR0352	SAV0355	SAHV_0352	SATW20_04230
+1279	metE	SAR0353	SAV0356	SAHV_0353	SATW20_04240
+327	metH	SAR0354	SAV0357	SAHV_0354	SATW20_04250
+1338	metC	SAR0355	SAV0358	SAHV_0355	SATW20_04260
+728	metB	SAR0356	SAV0359	SAHV_0356	SATW20_04270
+76	spo0J	SAR0357	SAV0360	SAHV_0357	SATW20_04280
+462	kefA	SAR0358	SAV0361	SAHV_0358	SATW20_04290
+2748	x	SAR0359	SAV0362	SAHV_0359	x
+3602	ychF	SAR0360	SAV0363	SAHV_0360	SATW20_04310
+3045	sodA1	SAR0361	SAV0364	SAHV_0361	SATW20_04320
+135	rpsF	SAR0362	SAV0365	SAHV_0362	SATW20_04330
+3561	ssb	SAR0363	SAV0366	SAHV_0363	SATW20_04340
+5523	rpsR	SAR0364	SAV0367	SAHV_0364	SATW20_04350
+4964	x	SAR0365	x	x	x
+252	x	SAR0366	x	x	x
+2108	x	SAR0367	x	x	x
+9738	x	SAR0368	x	x	x
+3017	scrR	SAR0369	x	x	SATW20_08940
+7852	x	SAR0370	x	x	x
+4758	x	SAR0372	x	x	x
+4348	x	SAR0373	SAV2023	SAHV_2008	x
+3708	x	SAR0374	SAV2022	SAHV_2007	x
+1864:1	x	SAR0375	SAV2021	SAHV_2006	x
+319	x	SAR0376	SAV2020	SAHV_2005	x
+2094	x	SAR0377	SAV2019	SAHV_0790	SATW20_09020
+2611	gcp	SAR0378	SAV2018	SAHV_2003	SATW20_09030
+6950	rimJ	SAR0379	x	x	x
+2250	accA	SAR0380	SAV0798	SAHV_0794	SATW20_09060
+697	accD	SAR0381	SAV0799	SAHV_1999	SATW20_20110
+3193	ilvD	SAR0382	SAV2012	SAHV_1998	SATW20_09080
+7744	x	SAR0383	SAV0801	SAHV_0797	x
+4702	x	SAR0384	x	x	x
+4553	x	SAR0385	x	x	x
+587	x	SAR0386	x	x	x
+1329	x	SAR0389	SAV0371	SAHV_0368	SATW20_04390
+1751	x	SAR0390	SAV0372	SAHV_0369	SATW20_04400
+1106	x	SAR0391	SAV0373	SAHV_0370	SATW20_04410
+2231	ydaS	SAR0392	SAV0374	SAHV_0371	SATW20_04420
+258	x	SAR0393	SAV0375	SAHV_0372	x
+1415	ald2	SAR0394	SAV0376	SAHV_0373	SATW20_04430
+58	x	SAR0395	SAV0377	SAHV_0374	SATW20_04440
+1745	x	SAR0396	SAV0378	SAHV_0375	SATW20_04450
+3597	x	SAR0397	x	x	x
+653	ahpF	SAR0398	SAV0380	SAHV_0377	SATW20_04470
+3180	ahpC	SAR0399	SAV0381	SAHV_0378	SATW20_04480
+366	nfrA	SAR0400	SAV0382	SAHV_0379	SATW20_04490
+1528	tcyP	SAR0401	SAV0383	SAHV_0380	SATW20_04500
+12899	x	SAR0402	x	x	x
+476	capB	SAR0403	SAV0385	SAHV_0382	SATW20_04510
+1049	capC	SAR0404	SAV0386	SAHV_0383	SATW20_04520
+1207	yflT	SAR0405	SAV0387	SAHV_0384	SATW20_04530
+519	xpt	SAR0406	SAV0388	SAHV_0385	SATW20_04540
+260	pbuX	SAR0407	SAV0389	SAHV_0386	SATW20_04550
+68	guaB	SAR0408	SAV0390	SAHV_0387	SATW20_04560
+1346	guaA	SAR0409	SAV0391	SAHV_0388	SATW20_04570
+174	x	SAR0411	SAV0416	SAHV_0413	SATW20_04890
+10662	x	SAR0414	x	x	x
+5158	x	SAR0416	x	x	x
+231	x	SAR0420	SAV0420	SAHV_0417	SATW20_04940
+1642	argJ	SAR0421	SAV0421	SAHV_0418	SATW20_04950
+616	set6	SAR0422	SAV0422	SAHV_0419	SATW20_04960
+2878	set7	SAR0423	SAV0423	SAHV_0420	SATW20_04970
+282	sl11	SAR0424	x	x	x
+1752	set8	SAR0425	SAV0424	SAHV_0422	SATW20_04980
+1637	set3	SAR0427	SAV0425	SAHV_0423	SATW20_05010
+2071	set1	SAR0428	SAV0426	SAHV_0424	SATW20_05030
+284	set13	SAR0429	SAV0428	SAHV_0426	SATW20_05050
+2042	set5	SAR0431	SAV0429	SAHV_0427	SATW20_05060
+4000	hsdS	SAR0434	SAV0432	SAHV_0430	SATW20_05090
+2198	set15	SAR0435	SAV0433	SAHV_0431	x
+1050	x	SAR0436	SAV0434	SAHV_0432	SATW20_05110
+923	argC	SAR0437	x	x	SATW20_05120
+978:1	lpl2	SAR0438	SAV0445	SAHV_0435	SATW20_05140
+3058:1	lpl8	SAR0444	SAV0444	SAHV_0442	SATW20_05130
+1509	x	SAR0445	x	x	x
+3100	murC	SAR0447	SAV0447	SAHV_0445	SATW20_05160
+369	x	SAR0448	SAV0448	SAHV_0446	SATW20_05170
+1674	x	SAR0449	SAV0449	SAHV_0447	SATW20_05180
+703	cobW	SAR0450	SAV0450	SAHV_0448	SATW20_05190
+1687	ndhF	SAR0452	SAV0452	SAHV_0450	SATW20_05210
+283	x	SAR0453	SAV0453	SAHV_0451	SATW20_05220
+4945	x	SAR0454	SAV0454	SAHV_0452	SATW20_05230
+665	x	SAR0455	SAV0455	SAHV_0453	SATW20_05240
+178	x	SAR0456	SAV0456	SAHV_0454	SATW20_05250
+648	est	SAR0457	SAV0457	SAHV_0455	SATW20_05260
+495	x	SAR0458	SAV0458	SAHV_0456	SATW20_05270
+465	mccA	SAR0459	SAV0459	SAHV_0457	SATW20_05280
+2064	mccB	SAR0460	SAV0460	SAHV_0458	SATW20_05290
+1369	metN	SAR0461	SAV0462	SAHV_0459	SATW20_05300
+1585	metI	SAR0462	SAV0463	SAHV_0460	SATW20_05310
+271	x	SAR0463	SAV0464	SAHV_0461	SATW20_05320
+675	sle_2	SAR0464	SAV0465	SAHV_0462	SATW20_05330
+598	x	SAR0465	SAV0466	SAHV_0463	SATW20_05340
+1256	x	SAR0466	SAV0467	SAHV_0464	SATW20_05350
+1052	x	SAR0467	SAV0468	SAHV_0465	SATW20_05360
+1378	x	SAR0468	SAV0469	SAHV_0466	SATW20_05370
+1627	x	SAR0469	SAV0470	SAHV_0467	SATW20_05380
+841	gltC	SAR0470	SAV0471	SAHV_0468	SATW20_05390
+1624	gltB	SAR0471	SAV0472	SAHV_0469	SATW20_05400
+1548	gltD	SAR0472	SAV0473	SAHV_0470	SATW20_05410
+2345	treP	SAR0473	SAV0474	SAHV_0471	SATW20_05420
+1476	treC	SAR0474	SAV0475	SAHV_0472	SATW20_05430
+427	treR	SAR0475	SAV0476	SAHV_0473	SATW20_05440
+569	rot	SAR0476	SAV0477	SAHV_0474	SATW20_05450
+489	dnaX	SAR0477	SAV0478	SAHV_0475	SATW20_05460
+2288	x	SAR0478	SAV0479	SAHV_0476	SATW20_05470
+3252	recR	SAR0479	SAV0480	SAHV_0477	SATW20_05480
+2558	ldcC	SAR0482	SAV0481	SAHV_0478	SATW20_05490
+1920	tmk	SAR0483	SAV0482	SAHV_0479	SATW20_05500
+3847	ribA	SAR0484	SAV0483	SAHV_0480	SATW20_05510
+2146	holB	SAR0485	SAV0484	SAHV_0481	SATW20_05520
+202	yaaT	SAR0486	SAV0485	SAHV_0482	SATW20_05530
+3624	yabA	SAR0487	SAV0486	SAHV_0483	SATW20_05540
+825	arsB	SAR0488	SAV0487	SAHV_0484	SATW20_05550
+2238	arsC	SAR0489	SAV0488	SAHV_0485	SATW20_05560
+858	rsmI	SAR0490	SAV0489	SAHV_0486	SATW20_05570
+715	metG	SAR0491	SAV0490	SAHV_0487	SATW20_05580
+2914	tatP	SAR0492	SAV0491	SAHV_0488	SATW20_05590
+1437	rnmV	SAR0493	SAV0492	SAHV_0489	SATW20_05600
+910	ksgA	SAR0494	SAV0493	SAHV_0490	SATW20_05610
+2607	veg	SAR0495	SAV0494	SAHV_0491	SATW20_05620
+1318	ispE	SAR0496	SAV0495	SAHV_0492	SATW20_05630
+3364	purR	SAR0497	SAV0496	SAHV_0493	SATW20_05640
+1129	yabJ	SAR0498	SAV0497	SAHV_0494	SATW20_05650
+1714	spoVG	SAR0499	SAV0498	SAHV_0495	SATW20_05660
+600	glmU	SAR0500	SAV0499	SAHV_0496	SATW20_05670
+5073	prs	SAR0501	SAV0500	SAHV_0497	SATW20_05680
+3695	rplY	SAR0502	SAV0501	SAHV_0498	SATW20_05690
+4510	pth	SAR0503	SAV0502	SAHV_0499	SATW20_05700
+1470	mfd	SAR0504	SAV0503	SAHV_0500	SATW20_05710
+782	x	SAR0505	SAV0504	SAHV_0501	SATW20_05720
+142	mazG_1	SAR0506	SAV0505	SAHV_0502	SATW20_05730
+3446	x	SAR0507	SAV0506	SAHV_0503	SATW20_05740
+3934	divIC	SAR0508	SAV0507	SAHV_0504	SATW20_05750
+4136	x	SAR0509	SAV0508	SAHV_0505	SATW20_05760
+1482	tilS	SAR0510	SAV0509	SAHV_0506	SATW20_05770
+2194	hpt	SAR0511	SAV0510	SAHV_0507	SATW20_05780
+2276	ftsH	SAR0512	SAV0511	SAHV_0508	SATW20_05790
+593	hslO	SAR0513	SAV0512	SAHV_0509	SATW20_05800
+112	cysK	SAR0514	SAV0513	SAHV_0510	SATW20_05810
+1271	folP	SAR0515	SAV0514	SAHV_0511	SATW20_05820
+1388	folB	SAR0516	SAV0515	SAHV_0512	SATW20_05830
+3976	folK	SAR0517	SAV0516	SAHV_0513	SATW20_05840
+1000	lysS	SAR0518	SAV0517	SAHV_0514	SATW20_05850
+2666:1	x	SAR0520	x	x	x
+3327	x	SAR0521	SAV0518	SAHV_0515	SATW20_05860
+3299	pdxS	SAR0522	SAV0519	SAHV_0516	SATW20_05870
+8	pdxT	SAR0523	SAV0520	SAHV_0517	SATW20_05880
+783	nupC	SAR0524	SAV0521	SAHV_0518	SATW20_05900
+2742	ctsR	SAR0525	SAV0522	SAHV_0519	SATW20_05910
+2698	cstR	SAR0526	SAV0523	SAHV_0520	SATW20_05920
+2440	hsdS	SAR0527	SAV0524	SAHV_0521	SATW20_05930
+397	clpC	SAR0528	SAV0525	SAHV_0522	SATW20_05940
+621	radA	SAR0529	SAV0526	SAHV_0523	SATW20_05950
+3842	splC	SAR0530	SAV0527	SAHV_0524	SATW20_05960
+95	gltX	SAR0531	SAV0528	SAHV_0525	SATW20_05970
+195	cysE	SAR0532	SAV0529	SAHV_0526	SATW20_05980
+2119	cysS	SAR0533	SAV0530	SAHV_0527	SATW20_05990
+4562	cysS	SAR0534	SAV0530.1	SAHV_0528	SATW20_06000
+1619	yacO	SAR0535	SAV0531	SAHV_0529	SATW20_06010
+4985	bsaF	SAR0536	SAV0532	SAHV_0530	SATW20_06020
+3092	sigH	SAR0537	SAV0533	SAHV_0531	SATW20_06030
+313	secE	SAR0539	SAV0534	SAHV_0532	SATW20_06050
+2282	nusG	SAR0540	SAV0535	SAHV_0533	SATW20_06060
+1299	rplK	SAR0542	SAV0537	SAHV_0535	SATW20_06070
+2671	rplA	SAR0543	SAV0538	SAHV_0536	SATW20_06080
+159	rplJ	SAR0544	SAV0539	SAHV_0537	SATW20_06090
+819	rplL	SAR0545	SAV0540	SAHV_0538	SATW20_06100
+4602	lukE	SAR0546	SAV0541	SAHV_0539	SATW20_06110
+1534	rpoB	SAR0547	SAV0542	SAHV_0540	SATW20_06120
+75	rpoC	SAR0548	SAV0543	SAHV_0541	SATW20_06130
+5129	rplL3	SAR0549	SAV0544	SAHV_0542	SATW20_06140
+4532	rpsL	SAR0550	SAV0545	SAHV_0543	SATW20_06150
+6414	rpsG	SAR0551	SAV0546	SAHV_0544	SATW20_06160
+1259	fusA	SAR0552	SAV0547	SAHV_0545	SATW20_06170
+1682	tuf	SAR0553	SAV0548	SAHV_0546	SATW20_06180
+1229	x	SAR0554	SAV0549	SAHV_0547	SATW20_06190
+2045	kbl	SAR0555	SAV0550	SAHV_0548	SATW20_06200
+219	hchA	SAR0556	SAV0551	SAHV_0549	SATW20_06210
+11	araB	SAR0557	SAV0552	SAHV_0550	SATW20_06220
+3133	capD	SAR0558	SAV0553	SAHV_0551	SATW20_06230
+5372	ilvE	SAR0559	SAV0554	SAHV_0552	SATW20_06240
+920	cbf1	SAR0560	SAV0555	SAHV_0553	SATW20_06250
+3090	dck	SAR0561	SAV0556	SAHV_0554	SATW20_06260
+1527	dgk	SAR0562	SAV0557	SAHV_0555	SATW20_06270
+4044	tadA	SAR0563	SAV0558	SAHV_0556	SATW20_06280
+1413	x	SAR0564	SAV0559	SAHV_0557	SATW20_06290
+2472	azo	SAR0565	SAV0560	SAHV_0558	SATW20_06300
+70:1	clfA	SAR0567	SAV0561	x	SATW20_06330
+969	x	SAR0568	SAV0564	SAHV_0562	SATW20_06340
+1205	x	SAR0569	SAV0565	SAHV_0563	SATW20_06350
+2669	folE2	SAR0570	SAV0566	SAHV_0564	SATW20_06360
+1641	bshB2	SAR0571	SAV0567	SAHV_0565	SATW20_06370
+1447	x	SAR0572	SAV0568	SAHV_0566	SATW20_06380
+999	nagB	SAR0573	SAV0569	SAHV_0567	SATW20_06390
+2625	hxlA	SAR0574	SAV0570	SAHV_0568	SATW20_06400
+2646	hxlB	SAR0575	SAV0571	SAHV_0569	SATW20_06410
+949	x	SAR0576	SAV0572	SAHV_0570	SATW20_06420
+453	proP	SAR0577	SAV0573	SAHV_0571	SATW20_06430
+3994	x	SAR0578	SAV0574	SAHV_0572	x
+1925	vraA	SAR0580	SAV0575	SAHV_0573	SATW20_06440
+1873	vraB	SAR0581	SAV0576	SAHV_0574	SATW20_06450
+2072	vraC	SAR0582	SAV0577	SAHV_0575	SATW20_06460
+255	x	SAR0583	SAV0578	SAHV_0576	SATW20_06470
+8642	vraX	SAR0584	x	x	x
+338	pdxK	SAR0585	SAV0580	SAHV_0578	SATW20_06490
+625	ung	SAR0586	SAV0581	SAHV_0579	SATW20_06500
+1639	x	SAR0587	SAV0582	SAHV_0580	SATW20_06510
+2092	x	SAR0588	SAV0583	SAHV_0581	SATW20_06520
+2543	x	SAR0589	SAV0584	SAHV_0582	SATW20_06530
+1514	x	SAR0590	SAV0585	SAHV_0583	SATW20_06540
+1685	x	SAR0591	SAV0586	SAHV_0584	SATW20_06550
+5960	x	SAR0592	x	x	x
+4001	ywfI	SAR0593	SAV0587	SAHV_0585	SATW20_06560
+3804	pta	SAR0594	SAV0588	SAHV_0586	SATW20_06570
+646	lipL	SAR0595	SAV0589	SAHV_0587	SATW20_06580
+3452	mvk	SAR0596	SAV0590	SAHV_0588	SATW20_06590
+1108	mvaD	SAR0597	SAV0591	SAHV_0589	SATW20_06600
+81	mvaK2	SAR0598	SAV0592	SAHV_0590	SATW20_06610
+3756	ywzC	SAR0599	SAV0593	SAHV_0591	SATW20_06620
+199	merA	SAR0600	SAV0594	SAHV_0592	SATW20_06630
+263	x	SAR0601	SAV0595	SAHV_0593	SATW20_06640
+483	x	SAR0602	SAV0596	SAHV_0594	SATW20_06650
+2025	x	SAR0603	x	x	SATW20_06750
+5766	x	SAR0604	x	x	x
+3397	x	SAR0607	SAV0599	SAHV_0597	x
+1377	iolS	SAR0608	SAV0600	SAHV_0598	SATW20_06770
+2829	ywqN	SAR0609	SAV0601	SAHV_0599	SATW20_06780
+845	x	SAR0610	SAV0602	SAHV_0600	SATW20_06790
+4471	x	SAR0611	SAV0603	SAHV_0601	SATW20_06800
+1496	x	SAR0612	SAV0604	SAHV_0602	SATW20_06810
+2212	adhP	SAR0613	SAV0605	SAHV_0603	SATW20_06820
+2138	x	SAR0614	SAV0606	SAHV_0604	SATW20_06830
+1973	argS	SAR0615	SAV0607	SAHV_0605	SATW20_06840
+574	x	SAR0617	SAV0608	SAHV_0606	SATW20_06850
+449	btuF	SAR0618	SAV0609	SAHV_0607	SATW20_06860
+1024	fecD	SAR0619	SAV0610	SAHV_0608	SATW20_06870
+1517	vraS	SAR0620	SAV0611	SAHV_0609	SATW20_06880
+2097	x	SAR0621	SAV0612	SAHV_0610	SATW20_06890
+1754	x	SAR0622	SAV0613	SAHV_0611	SATW20_06900
+411	x	SAR0623	SAV0614	SAHV_0612	SATW20_06910
+3860	x	SAR0624	SAV0615	SAHV_0613	SATW20_06920
+3717	sarA	SAR0625	SAV0616	SAHV_0614	SATW20_06930
+389	x	SAR0626	SAV0617	SAHV_0615	SATW20_06940
+2088	x	SAR0627	SAV0618	SAHV_0616	SATW20_06950
+3772	x	SAR0629	SAV0620	SAHV_0618	SATW20_06970
+1574	mrpA	SAR0630	SAV0621	SAHV_0619	SATW20_06980
+2269	mrpB	SAR0631	SAV0623	SAHV_0620	SATW20_06990
+2388	mrpC	SAR0632	SAV0624	SAHV_0621	SATW20_07000
+810	mnhD_1	SAR0633	SAV0625	SAHV_0622	SATW20_07010
+3801	mnhE	SAR0634	SAV0626	SAHV_0623	SATW20_07020
+1565	mnhF	SAR0635	SAV0627	SAHV_0624	SATW20_07030
+860	gatB	SAR0637	SAV0629	SAHV_0626	SATW20_07050
+4677	x	SAR0638	x	x	x
+4803	psaA	SAR0641	SAV0631	SAHV_0628	SATW20_07060
+4434	mtsC	SAR0642	SAV0632	SAHV_0629	SATW20_07070
+4064	mntA	SAR0643	SAV0633	SAHV_0630	SATW20_07080
+1813	sirR	SAR0644	SAV0634	SAHV_0631	SATW20_07090
+84	x	SAR0645	SAV0635	SAHV_0632	SATW20_07100
+330	tagA	SAR0646	SAV0636	SAHV_0633	SATW20_07110
+460	tagH	SAR0647	SAV0637	SAHV_0634	SATW20_07120
+209	tagG	SAR0648	SAV0638	SAHV_0635	SATW20_07130
+629	tagB	SAR0649	SAV0639	SAHV_0636	SATW20_07140
+692	tagX	SAR0650	SAV0640	SAHV_0637	SATW20_07150
+5790	tagD	SAR0651	SAV0641	SAHV_0638	SATW20_07160
+1231	pbp4	SAR0652	SAV0642	SAHV_0639	SATW20_07170
+967	bmrA	SAR0653	SAV0643	SAHV_0640	SATW20_07180
+3102	nupG	SAR0655	SAV0645	SAHV_0642	SATW20_07200
+1418	purB	SAR0656	SAV0646	SAHV_0643	SATW20_07210
+2418	fhuC	SAR0657	SAV0647	SAHV_0644	SATW20_07220
+3080	fhuB	SAR0658	SAV0648	SAHV_0645	SATW20_07230
+681	fhuG	SAR0659	SAV0649	SAHV_0646	SATW20_07240
+3034	dhaK	SAR0660	SAV0650	SAHV_0647	SATW20_07250
+4364	dhaL	SAR0661	SAV0651	SAHV_0648	SATW20_07260
+1260	dhaM	SAR0662	SAV0652	SAHV_0649	SATW20_07270
+147	x	SAR0663	SAV0653	SAHV_0650	SATW20_07280
+3077	x	SAR0664	SAV0654	SAHV_0651	SATW20_07290
+1244	lipA	SAR0665	SAV0655	SAHV_0652	SATW20_07300
+1288	x	SAR0666	SAV0656	SAHV_0653	SATW20_07310
+637	x	SAR0667	SAV0657	SAHV_0654	SATW20_07320
+3593	x	SAR0668	SAV0658	SAHV_0655	SATW20_07330
+169	graR	SAR0669	SAV0659	SAHV_0656	SATW20_07340
+1301	graS	SAR0670	SAV0660	SAHV_0657	SATW20_07350
+997	vraF	SAR0671	SAV0661	SAHV_0658	SATW20_07360
+342	vraG	SAR0672	SAV0662	SAHV_0659	SATW20_07370
+4666	x	SAR0673	SAV0663	SAHV_0660	SATW20_07380
+2412	pitA	SAR0674	SAV0664	SAHV_0661	SATW20_07390
+3889	sle_1	SAR0675	SAV0665	SAHV_0662	SATW20_07400
+1798	x	SAR0676	SAV0666	SAHV_0663	SATW20_07410
+682	sarX	SAR0679	SAV0668	SAHV_0665	SATW20_07430
+2622	yeeN	SAR0680	SAV0669	SAHV_0666	SATW20_07440
+3250	x	SAR0681	SAV0670	SAHV_0667	SATW20_07450
+622	x	SAR0682	SAV0671	SAHV_0668	SATW20_07460
+213	lysR	SAR0683	SAV0672	SAHV_0669	SATW20_07470
+2616:1	x	SAR0684	SAV0673	SAHV_0670	SATW20_07480
+15356	x	SAR0688	x	x	x
+4588	arsR	SAR0690	x	x	x
+2875	arsB	SAR0691	x	x	x
+4057	arsC	SAR0692	x	x	x
+8359	x	SAR0693	x	x	x
+7115	mwp015	SAR0694	x	x	x
+567	x	SAR0695	x	x	x
+3485	sap021	SAR0696	x	x	x
+302	x	SAR0697	x	x	x
+617	rep	SAR0703	x	x	x
+6061	x	SAR0704	x	x	x
+11526	x	SAR0714	x	x	x
+6254	x	SAR0715	x	x	x
+6214	x	SAR0717	x	x	x
+4475	x	SAR0718	x	x	x
+2226	copB	SAR0720	x	x	x
+2770	mco	SAR0721	x	x	x
+5102	cadA	SAR0723	x	x	SATW20_00830
+3342	cadC	SAR0724	x	x	SATW20_00840
+2161	x	SAR0728	SAV0675	SAHV_0672	SATW20_07500
+160	x	SAR0729	SAV0676	SAHV_0673	SATW20_07510
+1824	x	SAR0730	SAV0677	SAHV_0674	SATW20_07520
+972	x	SAR0731	SAV0678	SAHV_0675	SATW20_07530
+1190	rimL	SAR0732	SAV0679	SAHV_0676	SATW20_07540
+2970	yvdD	SAR0733	SAV0680	SAHV_0677	SATW20_07550
+928	fadA	SAR0734	SAV0681	SAHV_0678	SATW20_07560
+2110	fadB	SAR0735	SAV0682	SAHV_0679	SATW20_07570
+886	uppP	SAR0736	SAV0683	SAHV_0680	SATW20_07580
+2925	map	SAR0737	SAV0684	SAHV_0681	SATW20_07590
+602	cydC	SAR0738	SAV0685	SAHV_0682	SATW20_07600
+3244	mgrA	SAR0739	SAV0686	SAHV_0683	SATW20_07610
+534	cobW2	SAR0740	SAV0687	SAHV_0684	SATW20_07620
+1550	x	SAR0741	SAV0688	SAHV_0685	SATW20_07630
+2469	x	SAR0742	SAV0689	SAHV_0686	SATW20_07640
+1110	x	SAR0743	SAV0690	SAHV_0687	SATW20_07650
+127	phrB	SAR0744	SAV0691	SAHV_0688	SATW20_07660
+6733	x	SAR0745	SAV0692	SAHV_0689	SATW20_07670
+3435	fadX	SAR0746	SAV0693	SAHV_0690	SATW20_07680
+604	x	SAR0747	SAV0694	SAHV_0691	SATW20_07690
+3514	bmr	SAR0748	SAV0695	SAHV_0692	SATW20_07700
+1749	x	SAR0749	SAV0696	SAHV_0693	SATW20_07710
+2844	ybaK	SAR0750	SAV0697	SAHV_0694	SATW20_07720
+2296	lacR2	SAR0751	SAV0698	SAHV_0695	SATW20_07730
+1773	pfkB	SAR0752	SAV0699	SAHV_0696	SATW20_07740
+1546	fruA	SAR0753	SAV0700	SAHV_0697	SATW20_07750
+2933	nagA	SAR0754	SAV0701	SAHV_0698	SATW20_07760
+2584	x	SAR0755	SAV0702	SAHV_0699	SATW20_07770
+491	yvgN	SAR0756	SAV0703	SAHV_0700	SATW20_07780
+3688	gtrB	SAR0757	SAV0704	SAHV_0701	SATW20_07790
+261	saeS	SAR0758	SAV0705	SAHV_0702	SATW20_07800
+2824	saeR	SAR0759	SAV0706	SAHV_0703	SATW20_07810
+1093	saeQ	SAR0760	SAV0707	SAHV_0704	SATW20_07820
+628	saeP	SAR0761	SAV0708	SAHV_0705	SATW20_07830
+2828	x	SAR0762	SAV0709	SAHV_0706	SATW20_07840
+1446	queE	SAR0763	SAV0710	SAHV_0707	SATW20_07850
+2947	queD	SAR0764	SAV0711	SAHV_0708	SATW20_07860
+2148	queC	SAR0765	SAV0712	SAHV_0709	SATW20_07870
+2256	pabA	SAR0766	SAV0713	SAHV_0710	SATW20_07880
+1091	pabB	SAR0767	SAV0714	SAHV_0711	SATW20_07890
+2812	pabC	SAR0768	SAV0715	SAHV_0712	SATW20_07900
+2273	x	SAR0769	SAV0716	SAHV_0713	SATW20_07910
+2733	x	SAR0770	SAV0717	SAHV_0714	SATW20_07920
+1561	x	SAR0771	SAV0718	SAHV_0715	SATW20_07930
+3678	ltaS	SAR0772	SAV0719	SAHV_0716	SATW20_07940
+1068	ccmA	SAR0773	SAV0720	SAHV_0717	SATW20_07950
+878	recQ	SAR0774	SAV0721	SAHV_0718	SATW20_07960
+233	opuBA	SAR0775	SAV0722	SAHV_0719	SATW20_07970
+2368	opuBB	SAR0776	SAV0723	SAHV_0720	SATW20_07980
+2188	hisC	SAR0777	SAV0724	SAHV_0721	SATW20_07990
+2363	x	SAR0778	SAV0725	SAHV_0722	SATW20_08000
+3301	x	SAR0779	x	x	x
+2307	bmrU	SAR0780	SAV0726	SAHV_0723	SATW20_08010
+180	yjdL	SAR0781	SAV0727	SAHV_0724	SATW20_08020
+4042	queF	SAR0782	SAV0728	SAHV_0725	SATW20_08030
+2984	x	SAR0783	SAV0729	SAHV_0726	SATW20_08040
+1147	nrdI	SAR0784	SAV0730	SAHV_0727	SATW20_08050
+1420	nrdE	SAR0785	SAV0731	SAHV_0728	SATW20_08060
+4379	nrdF	SAR0786	SAV0732	SAHV_0729	SATW20_08070
+2381	ceuB	SAR0787	SAV0733	SAHV_0730	SATW20_08080
+730	sstB	SAR0788	SAV0734	SAHV_0731	SATW20_08090
+2133	sstC	SAR0789	SAV0735	SAHV_0732	SATW20_08100
+2476	sstD	SAR0790	SAV0736	SAHV_0733	SATW20_08110
+2636	hot13	SAR0791	SAV0737	SAHV_0734	SATW20_08120
+1018	murB	SAR0792	SAV0738	SAHV_0735	SATW20_08130
+2921	x	SAR0793	SAV0739	SAHV_0736	SATW20_08140
+375	x	SAR0794	SAV0740	SAHV_0737	SATW20_08150
+1737	ytxJ	SAR0795	SAV0741	SAHV_0738	SATW20_08160
+643	x	SAR0796	SAV0742	SAHV_0739	SATW20_08170
+664	pepT	SAR0797	SAV0743	SAHV_0740	SATW20_08180
+537	ispD	SAR0798	SAV0744	SAHV_0741	SATW20_08190
+3094	x	SAR0799	SAV0745	SAHV_0742	SATW20_08200
+1601	x	SAR0800	SAV0746	SAHV_0743	SATW20_08210
+842	llm	SAR0801	SAV0747	SAHV_0744	SATW20_08220
+944	x	SAR0802	SAV0748	SAHV_0745	SATW20_08230
+1356	x	SAR0803	SAV0749	SAHV_0746	SATW20_08240
+716	comFA	SAR0804	SAV0750	SAHV_0747	SATW20_08250
+485	comFC	SAR0805	SAV0751	SAHV_0748	SATW20_08260
+3677	raiA	SAR0806	SAV0752	SAHV_0749	SATW20_08270
+217	secA	SAR0807	SAV0753	SAHV_0750	SATW20_08280
+693	ssaA_4	SAR0809	SAV0755	SAHV_0752	SATW20_08300
+2239	yfbR	SAR0810	SAV0756	SAHV_0753	SATW20_08310
+5558	x	SAR0811	SAV0757	SAHV_0754	SATW20_08320
+1284	uvrB	SAR0812	SAV0758	SAHV_0755	SATW20_08330
+1566	uvrA	SAR0813	SAV0759	SAHV_0756	SATW20_08340
+1545	hprK	SAR0814	SAV0760	SAHV_0757	SATW20_08350
+12938	lgt	SAR0815	x	x	x
+2482	maa	SAR0816	SAV0762	SAHV_0759	SATW20_08370
+380	x	SAR0817	SAV0763	SAHV_0760	SATW20_08380
+270	trxB	SAR0818	SAV0764	SAHV_0761	SATW20_08390
+1780	yvcJ	SAR0820	SAV0765	SAHV_0762	SATW20_08400
+1074	x	SAR0821	SAV0766	SAHV_0763	SATW20_08410
+1055	whiA	SAR0822	SAV0767	SAHV_0764	SATW20_08420
+4151	clpP	SAR0823	SAV0768	SAHV_0765	SATW20_08430
+3849	mleA	SAR0824	x	x	x
+262	x	SAR0825	SAV0769	SAHV_0766	SATW20_08440
+1658	x	SAR0826	SAV0770	SAHV_0767	SATW20_08450
+2113	cggR	SAR0827	SAV0771	SAHV_0768	SATW20_08460
+2595	gap	SAR0828	SAV0772	SAHV_0769	SATW20_08470
+2319	pgk	SAR0829	SAV0773	SAHV_0770	SATW20_08480
+390	tpiA	SAR0830	SAV0774	SAHV_0771	SATW20_08490
+1449	gpmI	SAR0831	SAV0775	SAHV_0772	SATW20_08500
+220	eno	SAR0832	SAV0776	SAHV_0773	SATW20_08510
+678	x	SAR0833	SAV0777	SAHV_0774	SATW20_08520
+2266	secG	SAR0834	SAV0778	SAHV_0775	SATW20_08530
+4226	est	SAR0835	SAV0779	SAHV_0776	SATW20_08540
+690	rnr	SAR0836	SAV0780	SAHV_0777	SATW20_08550
+4323	smpB	SAR0837	SAV0782	SAHV_0778	SATW20_08560
+3372	x	SAR0838	x	x	x
+3335	x	SAR0839	SAV0808	SAHV_0804	x
+230	x	SAR0840	SAV0809	SAHV_0805	SATW20_08600
+1668	x	SAR0841	SAV0810	SAHV_0806	SATW20_08610
+1188	ssp	SAR0845	SAV0813	SAHV_0809	SATW20_08640
+5791	vwb	SAR0846	x	x	x
+551	nuc	SAR0847	SAV0815	SAHV_0811	SATW20_08660
+3371	cspC	SAR0848	SAV0816	SAHV_0812	SATW20_08670
+3495	lrgB	SAR0849	SAV0817	SAHV_0813	SATW20_08680
+4739	x	SAR0850	SAV0818	SAHV_0814	SATW20_08690
+2596	x	SAR0851	SAV0819	SAHV_0815	SATW20_08700
+3755	x	SAR0852	SAV0820	SAHV_0816	x
+3967	x	SAR0853	SAV0821	SAHV_0817	SATW20_08710
+1221	groES	SAR0854	SAV0822	SAHV_0818	SATW20_08720
+6980	x	SAR0855	SAV0823	SAHV_0819	SATW20_08730
+4117	gpmA1	SAR0856	SAV0824	SAHV_0820	SATW20_08740
+717	bglA	SAR0857	SAV0825	SAHV_0821	SATW20_08750
+3151	x	SAR0858	SAV0826	SAHV_0822	SATW20_08760
+1166	ohrB	SAR0859	SAV0828	SAHV_0824	SATW20_08770
+1892	aroD	SAR0860	SAV0829	SAHV_0825	SATW20_08780
+2039	x	SAR0861	SAV0830	SAHV_0826	SATW20_08790
+5776	x	SAR0862	SAV0831	SAHV_0827	SATW20_08800
+991	arsC1	SAR0863	SAV0832	SAHV_0828	SATW20_08810
+3391	gcvH	SAR0864	SAV0833	SAHV_0829	SATW20_08820
+146	agrD	SAR0865	SAV0834	SAHV_0830	SATW20_08830
+2079	x	SAR0867	SAV0835	SAHV_0831	SATW20_08840
+4232	x	SAR0868	SAV0836	SAHV_0832	SATW20_08850
+3078	metN2	SAR0870	SAV0837	SAHV_0833	SATW20_08860
+1516	metI	SAR0871	SAV0838	SAHV_0834	SATW20_08870
+612	metQ	SAR0872	SAV0839	SAHV_0835	SATW20_08880
+3181	leuB	SAR0874	SAV0840	SAHV_0836	SATW20_09120
+2004	x	SAR0875	SAV0841	SAHV_0837	SATW20_09130
+3126	sufC	SAR0876	SAV0842	SAHV_0838	SATW20_09140
+2207	sufD	SAR0877	SAV0843	SAHV_0839	SATW20_09150
+1829	csd	SAR0878	SAV0844	SAHV_0840	SATW20_09160
+4824	iscU	SAR0879	SAV0845	SAHV_0841	SATW20_09170
+2489	sufB	SAR0880	SAV0846	SAHV_0842	SATW20_09180
+1841	x	SAR0881	SAV0918	SAHV_0913	SATW20_09190
+3405	x	SAR0882	SAV0919	SAHV_0914	SATW20_09200
+1759	ncd-2	SAR0883	SAV0920	SAHV_0915	SATW20_09210
+952	x	SAR0884	SAV0921	SAHV_0916	SATW20_09220
+3130	sigB	SAR0885	SAV0922	SAHV_0917	SATW20_09230
+401	x	SAR0886	SAV0923	SAHV_0918	SATW20_09240
+67	lipA	SAR0887	SAV0924	SAHV_0919	SATW20_09250
+1629	rsbU	SAR0888	SAV0925	SAHV_0920	SATW20_09260
+2121	x	SAR0889	SAV0927	SAHV_0922	SATW20_09270
+1919	x	SAR0890	SAV0928	SAHV_0923	SATW20_09280
+2787	pdxp	SAR0891	SAV0929	SAHV_0924	SATW20_09290
+708	gyaR	SAR0892	SAV0930	SAHV_0925	SATW20_09300
+4688	dltX	SAR0893	SAV0931	SAHV_0926	SATW20_09310
+2101	dltA	SAR0894	SAV0932	SAHV_0927	SATW20_09320
+517	dltB	SAR0895	SAV0933	SAHV_0928	SATW20_09330
+917	dltC	SAR0896	SAV0934	SAHV_0929	SATW20_09340
+2159	dltD	SAR0897	SAV0935	SAHV_0930	SATW20_09350
+4047	nifU	SAR0898	SAV0936	SAHV_0931	SATW20_09360
+5004	yuzD	SAR0899	SAV0937	SAHV_0932	SATW20_09370
+1739	ndh2	SAR0900	SAV0938	SAHV_0933	SATW20_09380
+1310	kdpA	SAR0901	SAV0939	SAHV_0934	SATW20_09390
+3199	sufA	SAR0902	SAV0940	SAHV_0935	SATW20_09400
+1160	ndh	SAR0903	SAV0941	SAHV_0936	SATW20_09410
+2018	ampA	SAR0904	SAV0942	SAHV_0937	SATW20_09420
+3274	ftsW	SAR0905	SAV0943	SAHV_0938	SATW20_09430
+4013	x	SAR0906	SAV0944	SAHV_0939	SATW20_09440
+1107	x	SAR0907	SAV0945	SAHV_0940	SATW20_09450
+4398	mnhG	SAR0908	SAV0946	SAHV_0941	SATW20_09460
+7837	mnhF	SAR0909	SAV0947	SAHV_0942	SATW20_09470
+3762	mnhE	SAR0910	SAV0948	SAHV_0943	SATW20_09480
+3052	mnhD	SAR0911	SAV0949	SAHV_0944	SATW20_09490
+954	mnhC	SAR0912	SAV0950	SAHV_0945	SATW20_09500
+3809	mnhB	SAR0913	SAV0951	SAHV_0946	SATW20_09510
+579	mnhA	SAR0914	SAV0952	SAHV_0947	SATW20_09520
+3084	kapB	SAR0915	SAV0953	SAHV_0948	SATW20_09530
+3508	ppi	SAR0916	SAV0954	SAHV_0949	SATW20_09540
+3246	yugI	SAR0917	SAV0955	SAHV_0950	SATW20_09550
+1732	namA	SAR0918	SAV0956	SAHV_0951	SATW20_09560
+1730	rocD	SAR0919	SAV0957	SAHV_0952	SATW20_09570
+1225	gluD	SAR0920	SAV0958	SAHV_0953	SATW20_09580
+392	glpQ	SAR0921	SAV0959	SAHV_0954	SATW20_09590
+2366	argH	SAR0922	SAV0960	SAHV_0955	SATW20_09600
+12	argG	SAR0923	SAV0961	SAHV_0956	SATW20_09610
+1672	pgi	SAR0924	SAV0962	SAHV_0957	SATW20_09620
+429	thiD	SAR0925	SAV0963	SAHV_0958	SATW20_09630
+591	spsA	SAR0926	SAV0964	SAHV_0959	SATW20_09640
+607	spsB	SAR0927	SAV0965	SAHV_0960	SATW20_09650
+1286	addB	SAR0928	SAV0966	SAHV_0961	SATW20_09660
+2471	addA	SAR0929	SAV0967	SAHV_0962	SATW20_09670
+1451	mhpD	SAR0930	SAV0968	SAHV_0963	SATW20_09680
+4067	fabZ	SAR0931	SAV0969	SAHV_0964	SATW20_09690
+1995	cdr	SAR0933	SAV0970	SAHV_0965	SATW20_09700
+443	yitU	SAR0934	SAV0971	SAHV_0966	SATW20_09710
+1293	yitW	SAR0935	SAV0972	SAHV_0967	SATW20_09720
+2091	clpB	SAR0937	SAV0974	SAHV_0969	SATW20_09730
+1066	clpB	SAR0938	SAV0975	SAHV_0970	SATW20_09740
+959	lysR	SAR0939	SAV0976	SAHV_0971	SATW20_09750
+4273	leuA1	SAR0940	SAV0977	SAHV_0972	SATW20_09760
+2716	atpG	SAR0941	SAV0978	SAHV_0973	SATW20_09770
+3855	atpA	SAR0942	SAV0979	SAHV_0974	SATW20_09780
+2147	atpH	SAR0943	SAV0980	SAHV_0975	SATW20_09790
+2287	eap	SAR0944	SAV0981	SAHV_0976	SATW20_09800
+2690	x	SAR0945	SAV0982	SAHV_0977	SATW20_09810
+3038	fabH	SAR0946	SAV0983	SAHV_0978	SATW20_09820
+2206	fabF	SAR0947	SAV0984	SAHV_0979	SATW20_09830
+285:1	oppB	SAR0948	SAV0985	SAHV_0980	x
+2416	oppB	SAR0949	SAV0986	SAHV_0981	SATW20_09840
+304	oppC	SAR0950	SAV0987	SAHV_0982	SATW20_09850
+1026	oppD	SAR0951	SAV0988	SAHV_0983	SATW20_09860
+735	oppF	SAR0952	SAV0989	SAHV_0984	SATW20_09870
+1557	oppA	SAR0953	SAV0990	SAHV_0985	SATW20_09880
+779	appD	SAR0957	SAV0992	SAHV_0987	SATW20_09900
+856	appF	SAR0958	SAV0993	SAHV_0988	SATW20_09910
+2190:1	appC	SAR0960	SAV0995	SAHV_0990	SATW20_09930
+3705	x	SAR0961	x	x	x
+4053:1	trpS	SAR0964	SAV0996	SAHV_0991	SATW20_09940
+2620	spxA	SAR0965	SAV0997	SAHV_0992	SATW20_09950
+340	mecA	SAR0966	SAV0998	SAHV_0993	SATW20_09960
+1165:1	coiA	SAR0967	SAV0999	SAHV_0994	x
+2218	pepF	SAR0968	SAV1000	SAHV_0995	SATW20_09980
+3786	yjbM	SAR0969	SAV1001	SAHV_0996	SATW20_09990
+3307	yjbI	SAR0970	SAV1003	SAHV_0997	SATW20_10000
+3156	cyaA	SAR0971	SAV1004	SAHV_0998	SATW20_10010
+6078	x	SAR0972	SAV1005	SAHV_0999	SATW20_10020
+541	yjbM	SAR0973	SAV1006	SAHV_1000	SATW20_10030
+2325	ppnK	SAR0974	SAV1007	SAHV_1001	SATW20_10040
+980	rluA1	SAR0975	SAV1008	SAHV_1002	SATW20_10050
+214	mgtE	SAR0976	SAV1009	SAHV_1003	SATW20_10060
+2174	x	SAR0977	SAV1010	SAHV_1004	SATW20_10070
+2851:1	fabI	SAR0978	SAV1011	SAHV_1005	SATW20_10080
+4214	x	SAR0979	SAV1012	SAHV_1006	SATW20_10090
+3178	agcS_2	SAR0980	SAV1013	SAHV_1007	SATW20_10100
+365	fes	SAR0981	SAV1014	SAHV_1008	SATW20_10110
+5380	x	SAR0982	x	x	x
+1046	x	SAR0983	x	x	x
+915	x	SAR0985	SAV1015	SAHV_1009	SATW20_10120
+2192	ltaA	SAR0986	SAV1016	SAHV_1010	SATW20_10130
+939	ugtP	SAR0987	SAV1017	SAHV_1011	SATW20_10140
+1964	murE	SAR0988	SAV1018	SAHV_1012	SATW20_10150
+4366	deoD	SAR0989	SAV1019	SAHV_1013	SATW20_10160
+955	prfC	SAR0990	SAV1021	SAHV_1014	SATW20_10170
+3578	terC	SAR0991	SAV1022	SAHV_1015	SATW20_10180
+1290	htrA	SAR0992	SAV1023	SAHV_1016	SATW20_10190
+455	ntpJ	SAR0993	SAV1024	SAHV_1017	SATW20_10200
+170	manA1	SAR0994	SAV1025	SAHV_1018	SATW20_10210
+2109	comK	SAR0995	SAV1026	SAHV_1019	SATW20_10220
+3046	x	SAR0996	SAV1027	SAHV_1020	SATW20_10230
+1654	lplJ	SAR0997	SAV1028	SAHV_1021	SATW20_10240
+3123	czrA	SAR0998	SAV1029	SAHV_1022	SATW20_10250
+3414	x	SAR0999	SAV1030	SAHV_1023	SATW20_10260
+7808	x	SAR1000	x	x	x
+1216	x	SAR1001	SAV1032	SAHV_1025	SATW20_10270
+912	x	SAR1002	SAV1033	SAHV_1026	SATW20_10280
+990	x	SAR1003	SAV1034	SAHV_1027	SATW20_10290
+3441	x	SAR1004	SAV1035	SAHV_1028	SATW20_10300
+3296	x	SAR1005	SAV1036	SAHV_1029	x
+4643	x	SAR1007	x	x	SATW20_10310
+3211	x	SAR1010	SAV1037	SAHV_1030	SATW20_10330
+627	x	SAR1011	SAV1038	SAHV_1031	SATW20_10340
+1796	x	SAR1013	SAV1039	SAHV_1032	SATW20_10360
+3224	glmS	SAR1014	SAV1040	SAHV_1033	SATW20_10370
+844	menA	SAR1015	SAV1041	SAHV_1034	SATW20_10380
+2633	menF	SAR1016	SAV1042	SAHV_1035	SATW20_10390
+651	menD	SAR1017	SAV1043	SAHV_1036	SATW20_10400
+4060	menH	SAR1018	SAV1044	SAHV_1037	SATW20_10410
+2497	menB	SAR1019	SAV1045	SAHV_1038	SATW20_10420
+4017	sspC	SAR1020	SAV1046	SAHV_1039	SATW20_10430
+663	sspB	SAR1021	SAV1047	SAHV_1040	SATW20_10440
+326	sspA	SAR1022	SAV1048	SAHV_1041	SATW20_10450
+2673	patA	SAR1023	SAV1049	SAHV_1042	SATW20_10460
+508	trlWM1	SAR1025	SAV1051	SAHV_1044	SATW20_10480
+957	atl	SAR1026	SAV1052	SAHV_1045	SATW20_10490
+2166	x	SAR1027	SAV1054	SAHV_1046	SATW20_10500
+694	x	SAR1028	SAV1055	SAHV_1047	SATW20_10510
+1766	nanE	SAR1029	SAV1056	SAHV_1048	SATW20_10520
+772	fmtA	SAR1030	SAV1057	SAHV_1049	SATW20_10530
+3880	qoxD	SAR1031	SAV1058	SAHV_1050	SATW20_10540
+1397	qoxC	SAR1032	SAV1059	SAHV_1051	SATW20_10550
+3625	qoxB	SAR1033	SAV1060	SAHV_1052	SATW20_10560
+2351	qoxA	SAR1034	SAV1061	SAHV_1053	SATW20_10570
+6495	x	SAR1035	SAV1062	SAHV_1054	SATW20_10580
+1407	folD	SAR1037	SAV1063	SAHV_1055	SATW20_10590
+3931	purE	SAR1038	SAV1064	SAHV_1056	SATW20_10600
+1983	purK	SAR1039	SAV1065	SAHV_1057	SATW20_10610
+171	purC	SAR1040	SAV1066	SAHV_1058	SATW20_10620
+2337	purS	SAR1041	SAV1067	SAHV_1059	SATW20_10630
+2322	purQ	SAR1042	SAV1068	SAHV_1060	SATW20_10640
+1477	purL	SAR1043	SAV1069	SAHV_1061	SATW20_10650
+1659	purF	SAR1044	SAV1070	SAHV_1062	SATW20_10660
+124	purM	SAR1045	SAV1071	SAHV_1063	SATW20_10670
+1013	purN	SAR1046	SAV1072	SAHV_1064	SATW20_10680
+836	purH	SAR1047	SAV1073	SAHV_1065	SATW20_10690
+3187	purD	SAR1048	SAV1074	SAHV_1066	SATW20_10700
+2248	ykoC	SAR1049	SAV1075	SAHV_1067	SATW20_10710
+207	ykoD	SAR1050	SAV1076	SAHV_1068	SATW20_10720
+3745	ykoE	SAR1051	SAV1077	SAHV_1069	SATW20_10730
+2262	x	SAR1053	SAV1080	SAHV_1072	SATW20_10750
+554	ywbD	SAR1054	SAV1081	SAHV_1073	SATW20_10760
+696	x	SAR1055	SAV1082	SAHV_1074	SATW20_10770
+2175	ptsH	SAR1056	SAV1083	SAHV_1075	SATW20_10780
+2653	ptsI	SAR1057	SAV1084	SAHV_1076	SATW20_10790
+3324	ulaA	SAR1058	SAV1085	SAHV_1077	SATW20_10800
+2965	cydA	SAR1059	SAV1086	SAHV_1078	SATW20_10810
+4277	cydB	SAR1060	SAV1087	SAHV_1079	SATW20_10820
+3991	ktrA	SAR1061	SAV1088	SAHV_1080	SATW20_10830
+956	rnjA	SAR1063	SAV1089	SAHV_1081	SATW20_10840
+4506	esaB	SAR1064	SAV1090	SAHV_1082	SATW20_10850
+3471	def	SAR1065	SAV1091	SAHV_1083	SATW20_10860
+2961	x	SAR1066	SAV1092	SAHV_1084	SATW20_10870
+816	pdhA	SAR1067	SAV1093	SAHV_1085	SATW20_10880
+523	pdhB	SAR1068	SAV1094	SAHV_1086	SATW20_10890
+3591	pdhC	SAR1069	SAV1095	SAHV_1087	SATW20_10900
+680	pdhD	SAR1070	SAV1096	SAHV_1088	SATW20_10910
+807	asp23	SAR1071	SAV1097	SAHV_1089	SATW20_10920
+499	x	SAR1072	SAV1098	SAHV_1090	SATW20_10930
+2342	potA	SAR1073	SAV1099	SAHV_1091	SATW20_10940
+2030	potB	SAR1074	SAV1100	SAHV_1092	SATW20_10950
+549	potC	SAR1075	SAV1101	SAHV_1093	SATW20_10960
+1403	potD	SAR1076	SAV1102	SAHV_1094	SATW20_10970
+2037	x	SAR1077	SAV1103	SAHV_1095	SATW20_10980
+3638	lacG	SAR1078	SAV1104	SAHV_1096	SATW20_10990
+2772	mntH	SAR1079	SAV1105	SAHV_1097	SATW20_11000
+749	x	SAR1080	SAV1106	SAHV_1098	SATW20_11010
+2370	suhB	SAR1081	SAV1107	SAHV_1099	SATW20_11020
+6622	x	SAR1082	SAV1108	SAHV_1100	SATW20_11030
+2564	typA	SAR1083	SAV1109	SAHV_1101	SATW20_11040
+6941	x	SAR1084	x	x	x
+2336	x	SAR1085	SAV1111	SAHV_1103	SATW20_11060
+4939	lacD	SAR1086	SAV1112	SAHV_1104	SATW20_11070
+1592	ftsW	SAR1087	SAV1113	SAHV_1105	SATW20_11080
+3628	pyc	SAR1088	SAV1114	SAHV_1106	SATW20_11090
+1715	ctaA	SAR1089	SAV1115	SAHV_1107	SATW20_11100
+993	cyoE	SAR1090	SAV1116	SAHV_1108	SATW20_11110
+1508	lacR	SAR1091	SAV1117	SAHV_1109	SATW20_11120
+123	x	SAR1092	SAV1118	SAHV_1110	SATW20_11130
+2763	ylbF	SAR1093	SAV1119	SAHV_1111	SATW20_11140
+2630	x	SAR1094	SAV1121	SAHV_1112	SATW20_11150
+1640	x	SAR1095	SAV1122	SAHV_1113	SATW20_11160
+2857	x	SAR1096	SAV1123	SAHV_1114	SATW20_11170
+849	rsmD	SAR1097	SAV1124	SAHV_1115	SATW20_11180
+1611	coaD	SAR1098	SAV1125	SAHV_1116	SATW20_11190
+2330	x	SAR1099	SAV1126	SAHV_1117	SATW20_11200
+1396	ylbN	SAR1100	SAV1127	SAHV_1118	SATW20_11210
+6932	rpmF	SAR1101	SAV1128	SAHV_1119	SATW20_11220
+3225	isdB	SAR1102	SAV1129	SAHV_1120	SATW20_11230
+1883	isdA	SAR1103	SAV1130	SAHV_1121	SATW20_11240
+352	isdC	SAR1104	SAV1131	SAHV_1122	SATW20_11250
+1070	isdD	SAR1105	SAV1132	SAHV_1123	SATW20_11260
+9	isdE	SAR1106	SAV1133	SAHV_1124	SATW20_11270
+1083	isdF	SAR1107	SAV1134	SAHV_1125	SATW20_11280
+973	srtB	SAR1108	SAV1135	SAHV_1126	SATW20_11290
+2163	isdG	SAR1109	SAV1136	SAHV_1127	SATW20_11300
+2217	spoU/trmH	SAR1110	SAV1137	SAHV_1128	SATW20_11310
+837	pheS	SAR1111	SAV1138	SAHV_1129	SATW20_11320
+1094	pheT	SAR1112	SAV1139	SAHV_1130	SATW20_11330
+1520	rnhC	SAR1113	SAV1140	SAHV_1131	SATW20_11340
+1926	zapA	SAR1114	SAV1141	SAHV_1132	SATW20_11350
+2993	cvpA	SAR1115	SAV1142	SAHV_1133	SATW20_11360
+975	polX	SAR1116	SAV1143	SAHV_1134	SATW20_11370
+445	mutS2	SAR1117	SAV1144	SAHV_1135	SATW20_11380
+788	trxA	SAR1118	SAV1145	SAHV_1136	SATW20_11390
+2000	uvrC	SAR1119	SAV1146	SAHV_1137	SATW20_11400
+210	sdhC	SAR1120	SAV1147	SAHV_1138	SATW20_11410
+105	sdhA	SAR1121	SAV1148	SAHV_1139	SATW20_11420
+2062	sdhB	SAR1122	SAV1149	SAHV_1140	SATW20_11430
+484	murI	SAR1123	SAV1151	SAHV_1141	SATW20_11440
+552	rdgB	SAR1124	SAV1152	SAHV_1142	SATW20_11450
+1432	rpmJ	SAR1125	SAV1153	SAHV_1143	SATW20_11460
+9754	x	SAR1126	x	x	x
+1688	ecb	SAR1127	SAV1155	SAHV_1145	SATW20_11470
+2382	x	SAR1129	SAV1157	SAHV_1147	SATW20_11490
+3322	fib	SAR1130	SAV1158	SAHV_1148	SATW20_11500
+977	scn_1	SAR1131	SAV1159	SAHV_1149	SATW20_11510
+8154	x	SAR1132	x	x	x
+14552	x	SAR1133	x	x	x
+4852	x	SAR1133a	x	x	x
+2677	x	SAR1134	x	x	x
+3848	x	SAR1137	x	x	x
+3726	x	SAR1139	SAV1166	SAHV_1156	SATW20_11580
+1573	x	SAR1141	SAV1167	SAHV_1158	SATW20_11600
+1080	argF	SAR1142	SAV1169	SAHV_1159	SATW20_11610
+1903	arcC	SAR1143	SAV1170	SAHV_1160	SATW20_11620
+78	arcD	SAR1144	SAV1171	SAHV_0068	SATW20_11630
+2128	rplE	SAR1146	SAV1172	SAHV_1162	SATW20_11640
+2126	eta	SAR1147	SAV1173	SAHV_1163	SATW20_11650
+3685	x	SAR1148	SAV1174	SAHV_1164	SATW20_11660
+1276	yfnB	SAR1151	SAV1175	SAHV_1165	SATW20_11690
+1252	x	SAR1152	SAV1176	SAHV_1166	SATW20_11700
+1434	bshC	SAR1153	SAV1177	SAHV_1167	SATW20_11710
+225	mraZ	SAR1154	SAV1178	SAHV_1168	SATW20_11720
+2271	mraW	SAR1155	SAV1179	SAHV_1169	SATW20_11730
+6763	ftsL	SAR1156	SAV1180	SAHV_1170	SATW20_11740
+1475	pbpA	SAR1157	SAV1181	SAHV_1171	SATW20_11750
+1079	mraY	SAR1158	SAV1182	SAHV_1172	SATW20_11760
+3394	murD	SAR1159	SAV1183	SAHV_1173	SATW20_11770
+331	div1b	SAR1160	SAV1184	SAHV_1174	SATW20_11780
+843	ftsA	SAR1161	SAV1185	SAHV_1175	SATW20_11790
+634	ftsZ	SAR1162	SAV1186	SAHV_1176	SATW20_11800
+1381	x	SAR1163	SAV1187	SAHV_1177	SATW20_11810
+657	ylmE	SAR1164	SAV1188	SAHV_1178	SATW20_11820
+960	sepF	SAR1165	SAV1189	SAHV_1179	SATW20_11830
+896	ylmG	SAR1166	SAV1190	SAHV_1180	SATW20_11840
+156	ylmH	SAR1167	SAV1191	SAHV_1181	x
+227	divIVA	SAR1168	SAV1192	SAHV_1182	SATW20_11860
+196	ileS	SAR1169	SAV1193	SAHV_1183	SATW20_11870
+4719	gloA2	SAR1171	SAV1194	SAHV_1184	SATW20_11880
+3425	lspA	SAR1172	SAV1196	SAHV_1186	SATW20_11900
+3379	rluD	SAR1173	SAV1197	SAHV_1187	SATW20_11910
+3491	pyrR	SAR1174	SAV1198	SAHV_1188	SATW20_11920
+1722	pyrP	SAR1175	SAV1199	SAHV_1189	SATW20_11930
+871	pyrB	SAR1176	SAV1200	SAHV_1190	SATW20_11940
+425	pyrC	SAR1177	SAV1201	SAHV_1191	SATW20_11950
+93	carA	SAR1178	SAV1202	SAHV_1192	SATW20_11960
+2327	carB	SAR1179	SAV1203	SAHV_1193	SATW20_11970
+4247	pyrF	SAR1180	SAV1204	SAHV_1194	SATW20_11980
+373	pyrE	SAR1181	SAV1205	SAHV_1195	SATW20_11990
+834	mobA	SAR1182	SAV1206	SAHV_1196	SATW20_12000
+3483	moaD	SAR1183	SAV1207	SAHV_1197	SATW20_12010
+1875	fbpA	SAR1184	SAV1208	SAHV_1198	SATW20_12020
+539	gmk	SAR1185	SAV1209	SAHV_1199	SATW20_12030
+7884	rpoZ	SAR1186	SAV1210	SAHV_1200	SATW20_12040
+2951	coaBC	SAR1187	SAV1211	SAHV_1201	SATW20_12050
+173	priA	SAR1188	SAV1212	SAHV_1202	SATW20_12060
+2180	moaB	SAR1189	SAV1213	SAHV_1203	SATW20_12070
+4389	xynA	SAR1190	SAV1214	SAHV_1204	SATW20_12080
+4763	def_1	SAR1191	SAV1215	SAHV_1205	SATW20_12090
+666	fmt	SAR1192	SAV1216	SAHV_1206	SATW20_12100
+846	sun	SAR1193	SAV1217	SAHV_1207	SATW20_12110
+1623	rlmN	SAR1194	SAV1218	SAHV_1208	SATW20_12120
+256	prpC	SAR1195	SAV1219	SAHV_1209	SATW20_12130
+350	prkC	SAR1196	SAV1220	SAHV_1210	SATW20_12140
+3700	rsgA	SAR1197	SAV1221	SAHV_1211	SATW20_12150
+753	rpe	SAR1198	SAV1222	SAHV_1212	SATW20_12160
+1792	thiN	SAR1199	SAV1223	SAHV_1213	SATW20_12170
+10112	rpmB	SAR1200	SAV1224	SAHV_1214	SATW20_12180
+4693	asp4	SAR1201	SAV1225	SAHV_1215	SATW20_12190
+2286	x	SAR1202	SAV1226	SAHV_1216	SATW20_12200
+1324	recG	SAR1203	SAV1227	SAHV_1217	SATW20_12210
+1850	fapR	SAR1204	SAV1228	SAHV_1218	SATW20_12220
+507	plsX	SAR1205	SAV1229	SAHV_1219	SATW20_12230
+2747	fabD	SAR1206	SAV1230	SAHV_1220	SATW20_12240
+110	fabG	SAR1207	SAV1231	SAHV_1221	SATW20_12250
+4511	acpP	SAR1208	SAV1232	SAHV_1222	SATW20_12260
+1725	rnc	SAR1209	SAV1233	SAHV_1223	SATW20_12270
+500	smc	SAR1210	SAV1234	SAHV_1224	SATW20_12280
+1473	ftsY	SAR1211	SAV1235	SAHV_1225	SATW20_12290
+4575	sarY	SAR1212	SAV1236	SAHV_1226	SATW20_12300
+1295	ffh	SAR1213	SAV1237	SAHV_1227	SATW20_12310
+2632	rpsP	SAR1214	SAV1238	SAHV_1228	SATW20_12320
+2156	rimM	SAR1215	SAV1239	SAHV_1229	SATW20_12330
+1740	trmD	SAR1216	SAV1240	SAHV_1230	SATW20_12340
+3268	rplS	SAR1217	SAV1241	SAHV_1231	SATW20_12350
+1567	yfhO	SAR1218	SAV1242	SAHV_1232	SATW20_12360
+17	ylqF	SAR1219	SAV1243	SAHV_1233	SATW20_12370
+308	rnhB	SAR1220	SAV1244	SAHV_1234	SATW20_12380
+1248	sucC	SAR1221	SAV1245	SAHV_1235	SATW20_12390
+2428	sucD	SAR1222	SAV1246	SAHV_1236	SATW20_12400
+1844	lytN	SAR1223	SAV1247	SAHV_1237	x
+2177	fmhC	SAR1224	SAV1248	SAHV_1238	SATW20_12420
+2873	dprA	SAR1225	SAV1249	SAHV_1239	SATW20_12430
+1547	topA	SAR1226	SAV1250	SAHV_1240	SATW20_12440
+1489	trmFO	SAR1227	SAV1251	SAHV_1241	SATW20_12450
+1849	xerC	SAR1228	SAV1252	SAHV_1242	SATW20_12460
+3206	hslV	SAR1229	SAV1253	SAHV_1243	SATW20_12470
+1818	hslU	SAR1230	SAV1254	SAHV_1244	SATW20_12480
+3300	codY	SAR1231	SAV1255	SAHV_1245	SATW20_12490
+823	rpsB	SAR1232	SAV1256	SAHV_1246	SATW20_12500
+1255	tsf	SAR1233	SAV1257	SAHV_1247	SATW20_12510
+1104	pyrH	SAR1234	SAV1258	SAHV_1248	SATW20_12520
+1335	frr	SAR1235	SAV1259	SAHV_1249	SATW20_12530
+3055	uppS	SAR1236	SAV1260	SAHV_1250	SATW20_12540
+2014	cdsA	SAR1237	SAV1261	SAHV_1251	SATW20_12550
+2141	rseP	SAR1238	SAV1262	SAHV_1252	SATW20_12560
+1386	proS	SAR1239	SAV1263	SAHV_1253	SATW20_12570
+2813	polC	SAR1240	SAV1264	SAHV_1254	SATW20_12580
+2614	rimP	SAR1241	SAV1265	SAHV_1255	SATW20_12590
+1247	nusA	SAR1242	SAV1266	SAHV_1256	SATW20_12600
+1947	x	SAR1243	SAV1267	SAHV_1257	SATW20_12610
+2627	rpl7AE	SAR1244	SAV1268	SAHV_1258	SATW20_12620
+1538	infB	SAR1245	SAV1269	SAHV_1259	SATW20_12630
+3583	rbfA	SAR1246	SAV1270	SAHV_1260	SATW20_12640
+3886	truB	SAR1247	SAV1271	SAHV_1261	SATW20_12650
+90	ribF	SAR1248	SAV1272	SAHV_1262	SATW20_12660
+1532	rpsO	SAR1249	SAV1273	SAHV_1263	SATW20_12670
+564	pnp	SAR1250	SAV1274	SAHV_1264	SATW20_12680
+26	rnjB	SAR1251	SAV1275	SAHV_1265	SATW20_12690
+1164	spoIIIE	SAR1252	SAV1276	SAHV_1266	SATW20_12700
+2132	hutG	SAR1253	SAV1277	SAHV_1267	SATW20_12710
+780	x	SAR1254	SAV1278	SAHV_1268	SATW20_12720
+3175	x	SAR1255	SAV1279	SAHV_1269	SATW20_12730
+870	phbB	SAR1256	SAV1280	SAHV_1270	SATW20_12740
+1570	x	SAR1257	SAV1281	SAHV_1271	SATW20_12750
+2417	galM	SAR1258	SAV1282	SAHV_1272	SATW20_12760
+1400	pgsA	SAR1259	SAV1283	SAHV_1273	SATW20_12770
+51	cinA	SAR1260	SAV1284	SAHV_1274	SATW20_12780
+1411	recA	SAR1261	SAV1285	SAHV_1275	SATW20_12790
+2695	rny	SAR1262	SAV1286	SAHV_1276	SATW20_12800
+2439	x	SAR1263	SAV1287	SAHV_1277	SATW20_12810
+821	x	SAR1264	SAV1288	SAHV_1278	SATW20_12820
+3484	porA	SAR1265	SAV1289	SAHV_1279	SATW20_12830
+2920	porB	SAR1266	SAV1290	SAHV_1280	SATW20_12840
+1347	x	SAR1267	SAV1291	SAHV_1281	SATW20_12850
+396	miaB	SAR1268	SAV1292	SAHV_1282	SATW20_12860
+6488	x	SAR1269	SAV1293	SAHV_1283	SATW20_12870
+394	thiW	SAR1270	SAV1294	SAHV_1284	SATW20_12880
+3016	mutS	SAR1271	SAV1295	SAHV_1285	SATW20_12890
+1599	mutL	SAR1272	SAV1297	SAHV_1286	SATW20_12900
+2059	glpP	SAR1273	SAV1298	SAHV_1287	SATW20_12910
+4911	x	SAR1273a	x	x	x
+2868	glpF	SAR1274	SAV1300	SAHV_1289	SATW20_12920
+985	glpK	SAR1275	SAV1301	SAHV_1290	SATW20_12930
+570	glpD	SAR1276	SAV1302	SAHV_1291	SATW20_12940
+1665	x	SAR1277	SAV1303	SAHV_1292	SATW20_12950
+2006	miaA	SAR1278	SAV1304	SAHV_1293	SATW20_12960
+5138	hfq	SAR1279	SAV1305	SAHV_1294	SATW20_12970
+3059	bsaA	SAR1280	SAV1306	SAHV_1295	SATW20_12980
+2948	hflX	SAR1281	SAV1307	SAHV_1296	SATW20_12990
+459	Alu-2	SAR1282	SAV1308	SAHV_1297	SATW20_13000
+3254	glnR	SAR1283	SAV1309	SAHV_1298	SATW20_13010
+1266	glnA	SAR1284	SAV1310	SAHV_1299	SATW20_13020
+5331	x	SAR1285	x	x	SATW20_13030
+6238	x	SAR1288	x	x	SATW20_27130
+4785	thrA	SAR1289	x	x	SATW20_27140
+4274	x	SAR1290	x	x	SATW20_27150
+750	thrC	SAR1291	x	x	SATW20_27160
+2409:1	thrB	SAR1292	x	x	SATW20_27170
+1636:1	x	SAR1293	x	x	SATW20_27180
+1526:1	x	SAR1294	x	x	SATW20_27190
+6487	x	SAR1295	x	x	SATW20_27200
+312	x	SAR1296	x	x	SATW20_27210
+2120:1	x	SAR1297	x	x	SATW20_27220
+4337	rpsN	SAR1298	x	x	SATW20_27230
+9269	x	SAR1299	x	x	SATW20_27240
+1930	x	SAR1300	x	x	SATW20_27250
+3333	mqo	SAR1302	x	x	SATW20_13040
+7245	x	SAR1303	x	x	x
+6134	x	SAR1304	SAV1312	SAHV_1301	SATW20_13060
+395	x	SAR1306	x	x	x
+525	x	SAR1311	x	x	x
+3572	x	SAR1312	x	x	x
+14689	x	SAR1313	x	x	x
+6389	x	SAR1314	x	x	x
+2932:1	x	SAR1315	x	x	SATW20_13130
+3349	x	SAR1316	x	x	SATW20_13140
+4383	x	SAR1317	x	x	SATW20_13150
+1127	x	SAR1318	x	x	SATW20_13080
+3543	x	SAR1320	x	x	SATW20_13100
+2859	x	SAR1321	x	x	x
+1791	x	SAR1322	x	x	SATW20_13110
+8505	x	SAR1324	x	x	x
+12533	x	SAR1325	x	x	x
+3807	gLY1	SAR1326	SAV1315	SAHV_1304	SATW20_13180
+2664	cls1	SAR1328	SAV1317	SAHV_1306	SATW20_13200
+1511	x	SAR1329	x	x	SATW20_13210
+2816	x	SAR1330	SAV1320	SAHV_1309	SATW20_13220
+540	x	SAR1331	SAV1321	SAHV_1310	SATW20_13230
+13604	x	SAR1332	x	x	x
+4836	ssb	SAR1333	SAV1323	SAHV_1312	SATW20_13250
+136	nucH	SAR1334	SAV1324	SAHV_1313	SATW20_13260
+2358	rpsR	SAR1335	SAV1325	SAHV_1314	SATW20_13270
+2341	x	SAR1336	SAV1326	SAHV_1315	SATW20_13280
+2411	lysC2	SAR1337	SAV1327	SAHV_1316	SATW20_13290
+1174	dhoM	SAR1338	SAV1328	SAHV_1317	SATW20_13300
+4844	thrC	SAR1339	SAV1329	SAHV_1318	SATW20_13310
+1375	thrB	SAR1340	SAV1330	SAHV_1319	SATW20_13320
+1332	x	SAR1341	SAV1331	SAHV_1320	SATW20_13330
+1671	x	SAR1342	SAV1332	SAHV_1321	SATW20_13340
+785	lysP	SAR1343	SAV1333	SAHV_1322	SATW20_13350
+370	katA	SAR1344	SAV1334	SAHV_1323	SATW20_13360
+4648	rpmG	SAR1345	x	x	x
+5024	rpsN	SAR1346	SAV1336	SAHV_1325	SATW20_13380
+2991	guaC	SAR1347	SAV1337	SAHV_1326	SATW20_13390
+1417	narI	SAR1348	SAV1338	SAHV_1327	SATW20_13400
+901	lexA	SAR1349	SAV1339	SAHV_1328	SATW20_13410
+2757	narJ	SAR1350	SAV1340	SAHV_1329	SATW20_13420
+2540	x	SAR1351	SAV1341	SAHV_1330	SATW20_13430
+2435	tkt	SAR1352	SAV1342	SAHV_1331	SATW20_13440
+2213	cysG	SAR1353	SAV1343	SAHV_1332	SATW20_13450
+601	ccdC	SAR1355	SAV1344	SAHV_1333	SATW20_13460
+934	sbcD	SAR1356	SAV1345	SAHV_1334	SATW20_13470
+116:1	sbcC	SAR1357	SAV1346	SAHV_1335	SATW20_13480
+2131	mscL	SAR1360	SAV1347	SAHV_1336	SATW20_13490
+2465	opuD	SAR1361	SAV1348	SAHV_1337	SATW20_13500
+1022	acnA	SAR1362	SAV1350	SAHV_1338	SATW20_13510
+1621	x	SAR1363	SAV1351	SAHV_1339	SATW20_13520
+2186	x	SAR1364	SAV1352	SAHV_1340	SATW20_13530
+2655	plsY	SAR1365	SAV1353	SAHV_1341	SATW20_13540
+2200	parE	SAR1366	SAV1354	SAHV_1342	SATW20_13550
+803	parC	SAR1367	SAV1355	SAHV_1343	SATW20_13560
+1085	agcS_1	SAR1368	SAV1356	SAHV_1344	SATW20_13570
+4192	glcT	SAR1369	SAV1357	SAHV_1345	SATW20_13580
+7833	x	SAR1370	SAV1358	SAHV_1346	x
+986	dsbA	SAR1371	SAV1359	SAHV_1347	SATW20_13590
+450	mprF	SAR1372	SAV1360	SAHV_1348	SATW20_13600
+2817	msrA1	SAR1373	SAV1361	SAHV_1349	SATW20_13610
+3285	msrR	SAR1374	SAV1362	SAHV_1350	SATW20_13620
+148	ywhB	SAR1376	SAV1363	SAHV_1351	SATW20_13630
+201	dinB2	SAR1377	SAV1364	SAHV_1352	SATW20_13640
+514	tyrA	SAR1378	SAV1365	SAHV_1353	SATW20_13650
+3506	x	SAR1379	SAV1366	SAHV_1354	SATW20_13660
+4904	trpE	SAR1380	SAV1367	SAHV_1355	SATW20_13670
+1291	trpG	SAR1381	SAV1368	SAHV_1356	SATW20_13680
+1149	trpC	SAR1383	SAV1370	SAHV_1358	SATW20_13700
+1410	trpF	SAR1384	SAV1371	SAHV_1359	SATW20_13710
+950	trpB	SAR1385	SAV1372	SAHV_1360	SATW20_13720
+2078	trpA	SAR1386	SAV1373	SAHV_1361	SATW20_13730
+2199	femA	SAR1387	SAV1374	SAHV_1362	SATW20_13740
+2573	femB	SAR1388	SAV1375	SAHV_1363	SATW20_13750
+2765	x	SAR1391	SAV1378	SAHV_1366	SATW20_13770
+2384	opp-2F	SAR1392	SAV1379	SAHV_1367	SATW20_13780
+1124	opp-2D	SAR1393	SAV1380	SAHV_1368	SATW20_13790
+2051	opp-2C	SAR1394	SAV1381	SAHV_1369	SATW20_13800
+3167	opp-2B	SAR1395	SAV1382	SAHV_1370	SATW20_13810
+2157	x	SAR1396	SAV1383	SAHV_1371	SATW20_13820
+2528	pepF	SAR1397	SAV1384	SAHV_1372	SATW20_13830
+756	phoU	SAR1398	SAV1385	SAHV_1373	SATW20_13840
+341	pstB	SAR1399	SAV1386	SAHV_1374	SATW20_13850
+1010	pstA	SAR1400	SAV1387	SAHV_1375	SATW20_13860
+583	pstC	SAR1401	SAV1388	SAHV_1376	SATW20_13870
+2008	pstS	SAR1402	SAV1389	SAHV_1377	SATW20_13880
+762	cvfB	SAR1403	SAV1391	SAHV_1379	SATW20_13900
+768	bioA	SAR1404	SAV1392	SAHV_1380	SATW20_13910
+562	lysC	SAR1405	SAV1393	SAHV_1381	SATW20_13920
+2783	asd	SAR1406	SAV1394	SAHV_1382	SATW20_13930
+758	dapA	SAR1407	SAV1395	SAHV_1383	SATW20_13940
+880	dapB	SAR1408	SAV1396	SAHV_1384	SATW20_13950
+2408	dapD	SAR1409	SAV1397	SAHV_1385	SATW20_13960
+53	hipO	SAR1410	SAV1398	SAHV_1386	SATW20_13970
+3340	alr2	SAR1411	SAV1399	SAHV_1387	SATW20_13980
+1433	lysA	SAR1412	SAV1400	SAHV_1388	SATW20_13990
+1372	msa	SAR1413	SAV1401	SAHV_1389	SATW20_14000
+5961	cspA	SAR1414	SAV1402	SAHV_1390	SATW20_14010
+279	x	SAR1415	SAV1403	SAHV_1391	SATW20_14020
+5088	acyP	SAR1416	SAV1404	SAHV_1392	SATW20_14030
+3083	xpaC	SAR1417	SAV1405	SAHV_1393	SATW20_14040
+2149	telA	SAR1418	SAV1406	SAHV_1394	SATW20_14050
+2405	brnQ_3	SAR1419	SAV1407	SAHV_1395	SATW20_14080
+1350	norD	SAR1420	SAV1408	SAHV_1396	SATW20_14090
+527	norQ	SAR1421	SAV1409	SAHV_1397	SATW20_14100
+3791	yozC	SAR1422	SAV1410	SAHV_1398	SATW20_14110
+3538	x	SAR1423	SAV1411	SAHV_1399	SATW20_14120
+3064	sucB	SAR1424	SAV1412	SAHV_1400	SATW20_14130
+3728	sucA	SAR1425	SAV1413	SAHV_1401	SATW20_14140
+2679	arlS	SAR1426	SAV1414	SAHV_1402	SATW20_14150
+1009	arlR	SAR1427	SAV1415	SAHV_1403	SATW20_14160
+3060	x	SAR1428	x	x	x
+829	ahpF	SAR1429	SAV1417	SAHV_1405	SATW20_14180
+1429	murG	SAR1430	SAV1418	SAHV_1406	SATW20_14190
+3964	x	SAR1431	SAV1419	SAHV_1407	SATW20_14200
+1763	ctpA	SAR1432	SAV1420	SAHV_1408	SATW20_14210
+2650	x	SAR1434	SAV1421	SAHV_1409	SATW20_14220
+143	crr	SAR1435	SAV1422	SAHV_1410	SATW20_14230
+1638	msrB	SAR1436	SAV1423	SAHV_1411	SATW20_14240
+2040	msrA2	SAR1437	SAV1424	SAHV_1412	SATW20_14250
+130	pbuX	SAR1438	SAV1425	SAHV_1413	SATW20_14260
+417	folA	SAR1439	SAV1426	SAHV_1414	SATW20_14270
+2539	thyA	SAR1440	SAV1427	SAHV_1415	SATW20_14280
+3913	x	SAR1441	SAV1428	SAHV_1416	SATW20_14290
+1453	cvfC	SAR1442	SAV1429	SAHV_1417	SATW20_14300
+2017	x	SAR1443	SAV1430	SAHV_1418	SATW20_14310
+1666	x	SAR1444	SAV1431	SAHV_1419	SATW20_14320
+2896	x	SAR1445	SAV1432	SAHV_1420	SATW20_14330
+3424	rnhA	SAR1446	SAV1433	SAHV_1421	SATW20_14340
+409:1	ebh	SAR1447	SAV1434	SAHV_1423	SATW20_14350
+336	norB_2	SAR1448	SAV1436	SAHV_1424	SATW20_14360
+1583:1	steT	SAR1449	SAV1437	SAHV_1425	SATW20_14370
+1781	ilvA_1	SAR1450	SAV1438	SAHV_1426	SATW20_14380
+1806	ald_1	SAR1451	SAV1439	SAHV_1427	SATW20_14390
+642	ypcP	SAR1452	SAV1440	SAHV_1428	SATW20_14400
+64	x	SAR1453	SAV1441	SAHV_1429	SATW20_14410
+2963	x	SAR1455	SAV1443	SAHV_1431	SATW20_14430
+424	x	SAR1456	SAV1444	SAHV_1432	SATW20_14440
+2393	gpsB	SAR1457	SAV1446	SAHV_1434	SATW20_14450
+3014	x	SAR1458	SAV1447	SAHV_1435	SATW20_14460
+1891	x	SAR1459	SAV1448	SAHV_1436	SATW20_14470
+9170	x	SAR1459a	x	x	x
+1959	recU	SAR1460	SAV1449	SAHV_1437	SATW20_14480
+2554	pbp2	SAR1461	SAV1450	SAHV_1438	SATW20_14490
+1499	x	SAR1462	SAV1451	SAHV_1439	SATW20_14500
+3776	nth	SAR1463	SAV1452	SAHV_1440	SATW20_14510
+2509	dnaD	SAR1464	SAV1453	SAHV_1441	SATW20_14520
+1478	asnS	SAR1465	SAV1454	SAHV_1442	SATW20_14530
+2261	dinG	SAR1466	SAV1455	SAHV_1443	SATW20_14540
+2950	birA	SAR1467	SAV1456	SAHV_1444	SATW20_14550
+141	papS	SAR1468	SAV1457	SAHV_1445	SATW20_14560
+371	bshA	SAR1469	SAV1458	SAHV_1446	SATW20_14570
+820	ypjD	SAR1470	SAV1459	SAHV_1447	SATW20_14580
+1203	x	SAR1471	SAV1460	SAHV_1448	SATW20_14590
+19	x	SAR1472	SAV1461	SAHV_1449	SATW20_14600
+286	x	SAR1473	SAV1462	SAHV_1450	SATW20_14610
+1002	x	SAR1474	SAV1463	SAHV_1451	SATW20_14620
+2229	aroA	SAR1475	SAV1464	SAHV_1452	SATW20_14630
+885	aroB	SAR1476	SAV1465	SAHV_1453	SATW20_14640
+2617	aroC	SAR1477	SAV1466	SAHV_1454	SATW20_14650
+1336	ndk	SAR1478	SAV1469	SAHV_1457	SATW20_14660
+2475	hepT	SAR1479	SAV1470	SAHV_1458	SATW20_14670
+2908	ubiE	SAR1480	SAV1471	SAHV_1459	SATW20_14680
+930	set7nm	SAR1481	SAV1472	SAHV_1460	SATW20_14690
+4949	hup	SAR1482	SAV1473	SAHV_1461	SATW20_14700
+1863	gpsA	SAR1483	SAV1474	SAHV_1462	SATW20_14710
+1910	engA	SAR1484	SAV1475	SAHV_1463	SATW20_14720
+2546	rpsA	SAR1485	SAV1476	SAHV_1464	SATW20_14730
+1215	cmk	SAR1486	SAV1478	SAHV_1466	SATW20_14750
+640	ansA	SAR1487	SAV1479	SAHV_1467	SATW20_14760
+974	x	SAR1488	SAV1480	SAHV_1468	SATW20_14770
+1245	ebpS	SAR1489	SAV1481	SAHV_1469	SATW20_14780
+2048	recQ	SAR1490	SAV1482	SAHV_1470	SATW20_14790
+1471	ypbB	SAR1491	SAV1483	SAHV_1471	SATW20_14800
+5413	fer	SAR1492	SAV1484	SAHV_1472	SATW20_14810
+479	ribU	SAR1493	SAV1485	SAHV_1473	SATW20_14820
+905:1	lpl8nm	SAR1495	SAV1490	SAHV_1474	SATW20_14830
+23:1	ytA	SAR1497	x	SAHV_1928	SATW20_19370
+144	xhlB	SAR1498	x	x	x
+1300:1	x	SAR1499	SAV0908	SAHV_0903	x
+1946	x	SAR1500	x	x	x
+8602	x	SAR1501	x	x	x
+2826	x	SAR1502	x	x	x
+645	x	SAR1503	x	x	x
+6629	x	SAR1504	x	x	x
+1264:1	x	SAR1505	x	x	x
+4081	x	SAR1506	x	x	x
+347	x	SAR1507	x	x	x
+2672	x	SAR1508	x	x	x
+3724	x	SAR1509	x	x	x
+1755	x	SAR1510	x	x	x
+2347	x	SAR1511	x	x	x
+900	x	SAR1512	x	x	x
+3422	x	SAR1513	x	x	x
+2751	x	SAR1514	x	x	x
+794	x	SAR1515	x	x	x
+4877	x	SAR1516	x	x	x
+1014	clpP_2	SAR1517	x	x	x
+2750	x	SAR1518	x	x	x
+438	x	SAR1519	x	x	x
+362	x	SAR1520	x	x	x
+6583	x	SAR1521	x	x	x
+3291	x	SAR1522	x	x	x
+647	x	SAR1523	x	x	x
+1777	x	SAR1524	x	x	x
+1515	virE	SAR1525	x	x	x
+2349	x	SAR1526	x	x	x
+4541	x	SAR1527	x	x	x
+5511	x	SAR1528	x	x	x
+1092:1	x	SAR1529	x	x	x
+5902:1	x	SAR1530	x	x	x
+743	x	SAR1531	SAV0876	SAHV_0871	x
+6739	x	SAR1533	x	x	x
+5243	x	SAR1534	x	x	x
+4315	x	SAR1535	x	x	x
+4030:1	x	SAR1537	x	x	x
+2237	x	SAR1538	x	x	SATW20_19740
+2069	x	SAR1539	x	x	x
+1651	x	SAR1540	x	x	x
+2139	polA	SAR1541	x	x	x
+2866	x	SAR1542	x	x	x
+555	x	SAR1543	x	x	x
+1628	x	SAR1544	x	x	x
+2115	x	SAR1545	x	x	x
+5935	x	SAR1546	x	x	x
+2602	x	SAR1547	x	x	SATW20_03350
+828	x	SAR1548	x	x	x
+4299	x	SAR1549	x	x	x
+6547	x	SAR1550	x	x	x
+1933	x	SAR1551	x	x	x
+2739	x	SAR1552	x	x	x
+8447	x	SAR1553	x	x	x
+1525	x	SAR1554	x	x	x
+2703	x	SAR1555	x	x	x
+2800	x	SAR1556	x	x	x
+968	x	SAR1557	x	x	x
+2754	x	SAR1558	x	x	x
+6309	x	SAR1559	x	x	x
+8699	x	SAR1561	x	x	x
+817	int	SAR1562	x	x	SATW20_03260
+1325	srrB	SAR1567	SAV1491	SAHV_1479	SATW20_14890
+1039	srrA	SAR1568	SAV1492	SAHV_1480	SATW20_14900
+1148	rluB	SAR1569	SAV1493	SAHV_1481	SATW20_14910
+786	scpB	SAR1570	SAV1494	SAHV_1482	SATW20_14920
+1198	scpA	SAR1571	SAV1495	SAHV_1483	SATW20_14930
+3243	x	SAR1572	SAV1496	SAHV_1484	SATW20_14940
+1133	xerD	SAR1573	SAV1497	SAHV_1485	SATW20_14950
+3144	fur	SAR1574	SAV1498	SAHV_1486	SATW20_14960
+1382	nudF	SAR1575	SAV1499	SAHV_1487	SATW20_14970
+3567	opuCA	SAR1576	SAV1500	SAHV_1488	SATW20_14980
+4022	x	SAR1577	SAV1501	SAHV_1489	SATW20_14990
+2764	x	SAR1578	SAV1502	SAHV_1490	SATW20_15000
+3910	proC	SAR1579	SAV1503	SAHV_1491	SATW20_15010
+3035	rnz	SAR1581	SAV1504	SAHV_1492	SATW20_15020
+259	zwf	SAR1582	SAV1505	SAHV_1493	SATW20_15030
+2809	graE	SAR1583	SAV1506	SAHV_1494	SATW20_15040
+1984	malA	SAR1584	SAV1507	SAHV_1495	SATW20_15050
+1269	malR	SAR1585	SAV1508	SAHV_1496	SATW20_15060
+3049	cysM	SAR1586	SAV1509	SAHV_1497	SATW20_15070
+6917	x	SAR1587	x	x	x
+3421	gnd	SAR1589	SAV1511	SAHV_1499	SATW20_15080
+33	x	SAR1590	SAV1512	SAHV_1500	SATW20_15090
+721	x	SAR1591	SAV1513	SAHV_1501	SATW20_15100
+1726	x	SAR1592	SAV1514	SAHV_1502	SATW20_15110
+1906	bmfBB	SAR1593	SAV1515	SAHV_1503	SATW20_15120
+1362	bfmBAB	SAR1594	SAV1516	SAHV_1504	SATW20_15130
+2258	bfmBAA	SAR1595	SAV1517	SAHV_1505	SATW20_15140
+3511	lpdA_1	SAR1596	SAV1518	SAHV_1506	SATW20_15150
+2082	recN	SAR1597	SAV1519	SAHV_1507	SATW20_15160
+1100	argR	SAR1598	SAV1520	SAHV_1508	SATW20_15170
+2299	ispA	SAR1599	SAV1521	SAHV_1509	SATW20_15180
+6855	xseB	SAR1600	SAV1522	SAHV_1510	SATW20_15190
+232	xseA	SAR1601	SAV1523	SAHV_1511	SATW20_15200
+2122	nusB	SAR1602	SAV1524	SAHV_1512	SATW20_15210
+4799	treC	SAR1603	SAV1525	SAHV_1513	SATW20_15220
+712	accC	SAR1604	SAV1526	SAHV_1514	SATW20_15230
+2182	accB	SAR1605	SAV1527	SAHV_1515	SATW20_15240
+1380	efp	SAR1606	SAV1528	SAHV_1516	SATW20_15250
+3088	pepQ1	SAR1607	SAV1529	SAHV_1517	SATW20_15260
+2924	x	SAR1608	SAV1531	SAHV_1518	SATW20_15270
+2867	x	SAR1609	SAV1532	SAHV_1519	SATW20_15280
+2608	lipM	SAR1610	SAV1533	SAHV_1520	SATW20_15290
+520	x	SAR1611	SAV1534	SAHV_1521	SATW20_15300
+3328	gcvPB	SAR1612	SAV1535	SAHV_1522	SATW20_15310
+1529	gcvPA	SAR1613	SAV1536	SAHV_1523	SATW20_15320
+2734	gcvT	SAR1614	SAV1537	SAHV_1524	SATW20_15330
+3237	aroK	SAR1615	SAV1538	SAHV_1525	SATW20_15340
+356	comGF	SAR1616	SAV1539	SAHV_1526	SATW20_15350
+1783	holB	SAR1617	SAV1540	SAHV_1527	SATW20_15360
+1119	comGD	SAR1618	SAV1541	SAHV_1528	SATW20_15370
+1419	comGC	SAR1619	SAV1542	SAHV_1529	SATW20_15380
+272	comGB	SAR1620	SAV1543	SAHV_1530	SATW20_15390
+1354	comGA	SAR1621	SAV1544	SAHV_1531	SATW20_15400
+1170	x	SAR1622	SAV1545	SAHV_1532	SATW20_15410
+2233	metS	SAR1623	SAV1546	SAHV_1533	SATW20_15420
+2029	glcK	SAR1624	SAV1547	SAHV_1534	SATW20_15430
+1196	x	SAR1625	SAV1548	SAHV_1535	SATW20_15440
+1507	gluP	SAR1626	SAV1549	SAHV_1536	SATW20_15450
+1918	fthC	SAR1627	SAV1550	SAHV_1537	SATW20_15460
+4571	rpmG	SAR1628	SAV1551	SAHV_1538	SATW20_15470
+119	pbp3	SAR1629	SAV1552	SAHV_1539	SATW20_15480
+2807	sodA	SAR1630	SAV1553	SAHV_1540	SATW20_15490
+3988	zur	SAR1631	SAV1554	SAHV_1541	SATW20_15500
+1626	mreB	SAR1632	SAV1555	SAHV_1542	SATW20_15510
+2317	mreA	SAR1633	SAV1556	SAHV_1543	SATW20_15520
+1644	nfo	SAR1634	SAV1557	SAHV_1544	SATW20_15530
+1630	cshB	SAR1635	SAV1558	SAHV_1545	SATW20_15540
+1710	prs	SAR1636	SAV1559	SAHV_1546	SATW20_15550
+321	trmK	SAR1637	SAV1560	SAHV_1547	SATW20_15560
+3417	rpoD	SAR1638	SAV1561	SAHV_1548	SATW20_15570
+377	dnaG	SAR1639	SAV1562	SAHV_1549	SATW20_15580
+1907	yqfL	SAR1640	SAV1563	SAHV_1550	SATW20_15590
+536	glyS	SAR1642	SAV1565	SAHV_1552	SATW20_15610
+1593	recO	SAR1643	SAV1566	SAHV_1553	SATW20_15620
+2210	era	SAR1644	SAV1567	SAHV_1554	SATW20_15630
+4629	cdd	SAR1645	SAV1568	SAHV_1555	SATW20_15640
+1406	dgkA	SAR1646	SAV1569	SAHV_1556	SATW20_15650
+4052	ybeY	SAR1647	SAV1570	SAHV_1557	SATW20_15660
+3018:1	phoH	SAR1648	SAV1571	SAHV_1558	SATW20_15670
+1011	cysK	SAR1649	SAV1572	SAHV_1559	SATW20_15680
+2487	x	SAR1650	SAV1573	SAHV_1560	SATW20_15690
+1587	folB	SAR1651	SAV1574	SAHV_1561	SATW20_15700
+4573	rpsU	SAR1652	SAV1575	SAHV_1562	SATW20_15710
+2575	yqeV	SAR1653	SAV1576	SAHV_1563	SATW20_15720
+1598	rsmE	SAR1654	SAV1577	SAHV_1564	SATW20_15730
+20	prmA	SAR1655	SAV1578	SAHV_1565	SATW20_15740
+740	dnaJ	SAR1656	SAV1579	SAHV_1566	SATW20_15750
+626	dnaK	SAR1657	SAV1580	SAHV_1567	SATW20_15760
+6840	grpE	SAR1658	SAV1581	SAHV_1568	SATW20_15770
+1778	hrcA	SAR1659	SAV1582	SAHV_1569	SATW20_15780
+866	hemN	SAR1660	SAV1583	SAHV_1570	SATW20_15790
+1916	lepA	SAR1662	SAV1585	SAHV_1572	SATW20_15800
+3065	rpsT	SAR1663	SAV1586	SAHV_1573	SATW20_15810
+3965	holA	SAR1664	SAV1587	SAHV_1574	SATW20_15820
+140	comEC	SAR1665	SAV1588	SAHV_1575	SATW20_15830
+1663	comEB	SAR1666	SAV1589	SAHV_1576	SATW20_15840
+3770	comEA	SAR1667	SAV1590	SAHV_1577	SATW20_15850
+2705	ubiE	SAR1668	SAV1591	SAHV_1578	x
+4258	rsfS	SAR1669	SAV1592	SAHV_1579	SATW20_15880
+3532	cysE	SAR1670	SAV1593	SAHV_1580	SATW20_15890
+2668	nadD	SAR1671	SAV1594	SAHV_1581	SATW20_15900
+317	yhbY	SAR1672	SAV1595	SAHV_1582	SATW20_15910
+44	aroE	SAR1673	SAV1596	SAHV_1583	SATW20_15920
+1705	yqeH	SAR1674	SAV1597	SAHV_1584	SATW20_15930
+2762	yqeG	SAR1675	SAV1598	SAHV_1585	SATW20_15940
+3490	mtnN	SAR1676	SAV1599	SAHV_1586	SATW20_15950
+3584	x	SAR1677	SAV1600	SAHV_1587	x
+4813	x	SAR1680	x	x	x
+998	mntH	SAR1683	SAV1604	SAHV_1591	SATW20_15990
+892	lamB	SAR1684	SAV1605	SAHV_1592	SATW20_16000
+1316	accC	SAR1685	SAV1606	SAHV_1593	SATW20_16010
+3955	accB	SAR1686	SAV1607	SAHV_1594	SATW20_16020
+1713	rpoC	SAR1687	SAV1608	SAHV_1595	SATW20_16030
+4807	kipI	SAR1688	SAV1609	SAHV_1596	SATW20_16040
+2267	greA	SAR1689	SAV1610	SAHV_1597	SATW20_16050
+3747	udk	SAR1690	SAV1611	SAHV_1598	SATW20_16060
+494	fus	SAR1691	SAV1612	SAHV_1599	SATW20_16070
+2663	tuf	SAR1692	SAV1613	SAHV_1600	SATW20_16080
+3533	gidB_1	SAR1693	SAV1614	SAHV_1601	SATW20_16090
+983	x	SAR1694	SAV1615	SAHV_1602	SATW20_16100
+2975	yrrK	SAR1695	SAV1616	SAHV_1603	SATW20_16110
+4594	araB	SAR1696	SAV1617	SAHV_1604	SATW20_16120
+773	alaS	SAR1697	SAV1618	SAHV_1605	SATW20_16130
+3208	recD	SAR1698	SAV1619	SAHV_1606	SATW20_16140
+27	x	SAR1699	SAV1620	SAHV_1607	SATW20_16150
+630	trmU	SAR1701	SAV1621	SAHV_1608	SATW20_16160
+287	iscS	SAR1702	SAV1622	SAHV_1609	SATW20_16170
+603	x	SAR1703	SAV1623	SAHV_1610	SATW20_16180
+2861	csbD	SAR1705	SAV1625	SAHV_1612	SATW20_16200
+4886	cymR	SAR1706	SAV1626	SAHV_1613	SATW20_16210
+1909	rarA	SAR1707	SAV1627	SAHV_1614	SATW20_16220
+3493	x	SAR1708	SAV1628	SAHV_1615	SATW20_16230
+79	aspS	SAR1710	SAV1630	SAHV_1617	SATW20_16240
+316	hisS	SAR1711	SAV1631	SAHV_1618	SATW20_16250
+2224	dtd	SAR1713	SAV1633	SAHV_1620	SATW20_16270
+2694	relA	SAR1714	SAV1634	SAHV_1621	SATW20_16280
+1153	apt	SAR1715	SAV1635	SAHV_1622	SATW20_16290
+194	recJ	SAR1716	SAV1636	SAHV_1623	SATW20_16300
+1087	secD	SAR1717	SAV1637	SAHV_1624	SATW20_16310
+1897	yajC	SAR1718	SAV1638	SAHV_1625	SATW20_16320
+2572	tgt	SAR1719	SAV1639	SAHV_1626	SATW20_16330
+869	queA	SAR1720	SAV1640	SAHV_1627	SATW20_16340
+98	ruvB	SAR1721	SAV1641	SAHV_1628	SATW20_16350
+3574	ruvA	SAR1722	SAV1642	SAHV_1629	SATW20_16360
+2197	pheB	SAR1723	SAV1643	SAHV_1630	SATW20_16370
+481	cgtA	SAR1724	SAV1644	SAHV_1631	SATW20_16380
+4742	rpmA	SAR1725	SAV1645	SAHV_1632	SATW20_16390
+1944	x	SAR1726	SAV1646	SAHV_1633	SATW20_16400
+5075	rplU	SAR1727	SAV1647	SAHV_1634	SATW20_16410
+39	mreD	SAR1728	SAV1648	SAHV_1635	SATW20_16420
+1167	mreC	SAR1729	SAV1649	SAHV_1636	SATW20_16430
+121	x	SAR1730	SAV1650	SAHV_1637	SATW20_16440
+4301	x	SAR1731	SAV1651	SAHV_1638	x
+863	x	SAR1732	SAV1652	SAHV_1639	SATW20_16450
+853	comC	SAR1741	SAV1661	SAHV_1648	SATW20_16530
+1772	folC	SAR1742	SAV1662	SAHV_1649	SATW20_16540
+303	valS	SAR1743	SAV1663	SAHV_1650	SATW20_16550
+3362	tag	SAR1744	SAV1664	SAHV_1651	SATW20_16560
+1360	amoA	SAR1745	SAV1665	SAHV_1652	SATW20_16570
+2599	hemL	SAR1747	SAV1667	SAHV_1654	SATW20_16580
+490	hemB	SAR1748	SAV1668	SAHV_1655	SATW20_16590
+3118	hemD	SAR1749	SAV1669	SAHV_1656	SATW20_16600
+3028	hemC	SAR1750	SAV1670	SAHV_1657	SATW20_16610
+1320	hemX	SAR1751	SAV1671	SAHV_1658	SATW20_16620
+1001	hemA	SAR1752	SAV1672	SAHV_1659	SATW20_16630
+1235	ysxC	SAR1753	SAV1673	SAHV_1660	SATW20_16640
+324	clpX	SAR1754	SAV1674	SAHV_1661	SATW20_16650
+754	tig	SAR1755	SAV1675	SAHV_1662	SATW20_16660
+2151	x	SAR1756	SAV1676	SAHV_1663	SATW20_16670
+381	x	SAR1757	SAV1677	SAHV_1664	SATW20_16680
+2682	rplT	SAR1758	SAV1678	SAHV_1665	SATW20_16690
+1716	rpmI	SAR1759	SAV1679	SAHV_1666	SATW20_16700
+2143	infC	SAR1760	SAV1680	SAHV_1667	SATW20_16710
+775	lysP	SAR1761	SAV1681	SAHV_1668	SATW20_16720
+2142	thrS	SAR1762	SAV1683	SAHV_1669	SATW20_16730
+1389	dnaI	SAR1763	SAV1684	SAHV_1670	SATW20_16740
+164	dnaB	SAR1764	SAV1685	SAHV_1671	SATW20_16750
+1158	nrdR	SAR1765	SAV1686	SAHV_1672	SATW20_16760
+501	gap_1	SAR1766	SAV1687	SAHV_1673	SATW20_16770
+2333	coaE	SAR1767	SAV1688	SAHV_1674	SATW20_16780
+1296	mutM	SAR1768	SAV1689	SAHV_1675	SATW20_16790
+1179	polA	SAR1769	SAV1690	SAHV_1676	SATW20_16800
+1342	x	SAR1770	SAV1691	SAHV_1677	SATW20_16810
+1563	phoR	SAR1771	SAV1692	SAHV_1678	SATW20_16820
+916	phoP	SAR1772	SAV1693	SAHV_1679	SATW20_16830
+3794	icd	SAR1773	SAV1694	SAHV_1680	SATW20_16840
+4241	citZ	SAR1774	SAV1695	SAHV_1681	SATW20_16850
+2007	cycA	SAR1775	SAV1696	SAHV_1682	SATW20_16860
+1543	pyk	SAR1776	SAV1697	SAHV_1683	SATW20_16890
+2598	pfkA	SAR1777	SAV1698	SAHV_1684	SATW20_16900
+805	accA	SAR1778	SAV1700	SAHV_1686	SATW20_16910
+1987	accD	SAR1779	SAV1701	SAHV_1687	SATW20_16920
+940	maeB	SAR1780	SAV1702	SAHV_1688	SATW20_16930
+632	dnaE	SAR1781	SAV1703	SAHV_1689	SATW20_16940
+526	nrnA	SAR1782	SAV1704	SAHV_1690	SATW20_16950
+412	x	SAR1783	SAV1705	SAHV_1691	SATW20_16960
+138	uspA_2	SAR1784	SAV1706	SAHV_1692	SATW20_16970
+3778	mntC	SAR1785	SAV1707	SAHV_1693	SATW20_16980
+738	pepQ	SAR1786	SAV1708	SAHV_1694	SATW20_16990
+440	ald	SAR1787	SAV1709	SAHV_1695	SATW20_17000
+722	uspA_1	SAR1788	SAV1710	SAHV_1696	SATW20_17010
+2061	ackA	SAR1789	SAV1711	SAHV_1697	SATW20_17020
+200	sirR	SAR1790	SAV1712	SAHV_1698	SATW20_17030
+3585	tpx	SAR1791	SAV1713	SAHV_1699	SATW20_17040
+1618	tagA	SAR1792	SAV1714	SAHV_1700	SATW20_17050
+3260	thiI	SAR1793	SAV1715	SAHV_1701	SATW20_17060
+2490	iscS	SAR1794	SAV1716	SAHV_1702	SATW20_17070
+1181	ezrA	SAR1795	SAV1717	SAHV_1703	SATW20_17080
+4121	x	SAR1796	SAV1718	SAHV_1704	SATW20_17090
+1736	rpsD	SAR1797	SAV1719	SAHV_1705	SATW20_17100
+3157	glpQ3	SAR1798	SAV1721	SAHV_1707	SATW20_17110
+1059	ohr	SAR1799	SAV1722	SAHV_1708	SATW20_17120
+1076	x	SAR1800	SAV1723	SAHV_1709	SATW20_17130
+1789	serA	SAR1801	SAV1724	SAHV_1710	SATW20_17140
+1383	tagD	SAR1802	SAV1725	SAHV_1711	SATW20_17150
+1580	nagE	SAR1803	SAV1726	SAHV_1712	SATW20_17160
+1846	plsC	SAR1804	SAV1727	SAHV_1713	SATW20_17170
+1586	htrA1	SAR1805	SAV1728	SAHV_1714	SATW20_17180
+167	tyrS	SAR1806	SAV1729	SAHV_1715	SATW20_17190
+2164	sgtA	SAR1807	SAV1730	SAHV_1716	SATW20_17200
+608	fhs	SAR1810	SAV1732	SAHV_1718	SATW20_17220
+946	acsA	SAR1811	SAV1733	SAHV_1719	SATW20_17230
+1236	acuA	SAR1812	SAV1734	SAHV_1720	SATW20_17240
+36	acuC	SAR1813	SAV1735	SAHV_1721	SATW20_17250
+676	ccpA	SAR1814	SAV1736	SAHV_1722	SATW20_17260
+1614	aroF	SAR1815	SAV1737	SAHV_1723	SATW20_17270
+265	x	SAR1816	SAV1738	SAHV_1724	SATW20_17280
+3707	x	SAR1817	SAV1739	SAHV_1725	SATW20_17290
+1228	murC	SAR1818	SAV1740	SAHV_1726	SATW20_17300
+1201	spoIIIE	SAR1819	SAV1741	SAHV_1727	SATW20_17310
+14439	x	SAR1820	x	x	x
+1460	x	SAR1821	SAV1743	SAHV_1729	SATW20_17330
+1968	x	SAR1822	SAV1744	SAHV_1730	SATW20_17340
+1395	pepA1	SAR1823	SAV1745	SAHV_1731	SATW20_17350
+1859	x	SAR1824	SAV1746	SAHV_1732	SATW20_17360
+1717	x	SAR1825	SAV1747	SAHV_1733	SATW20_17370
+5581	x	SAR1826	x	x	SATW20_27070
+1530	tnp5	SAR1827	x	x	SATW20_27080
+3630	hin	SAR1828	x	x	SATW20_p1200
+793	mecI	SAR1829	x	x	SATW20_27100
+3579	blaR1	SAR1830	x	x	SATW20_27110
+1117	blaZ	SAR1831	x	x	SATW20_27120
+4034	trmB	SAR1833	SAV1748	SAHV_1734	SATW20_17380
+1351	vraG	SAR1834	SAV1749	SAHV_1735	SATW20_17390
+1443	dat	SAR1835	SAV1750	SAHV_1736	SATW20_17400
+2978	pepV	SAR1836	SAV1751	SAHV_1737	SATW20_17410
+1986	x	SAR1837	SAV1752	SAHV_1738	SATW20_17420
+244	rsuA	SAR1838	SAV1753	SAHV_1739	SATW20_17430
+91	x	SAR1839	SAV1754	SAHV_1740	SATW20_17440
+318	x	SAR1840	x	x	SATW20_17450
+1095	sasC	SAR1841	SAV1758	SAHV_1744	SATW20_17460
+3271	moeB	SAR1842	SAV1759	SAHV_1745	SATW20_17470
+2124	leuS	SAR1843	SAV1760	SAHV_1746	SATW20_17480
+2678	x	SAR1844	SAV1761	SAHV_1747	SATW20_17490
+3218	x	SAR1845	SAV1762	SAHV_1748	SATW20_17500
+3556	x	SAR1846	SAV1763	SAHV_1749	SATW20_17510
+1551	rot	SAR1847	SAV1764	SAHV_1750	SATW20_17520
+679	pldB	SAR1848	SAV1765	SAHV_1751	SATW20_17560
+1974	fadM	SAR1849	SAV1766	SAHV_1752	SATW20_17570
+1852	ribH	SAR1850	SAV1767	SAHV_1753	SATW20_17580
+426	ribA	SAR1851	SAV1769	SAHV_1754	SATW20_17590
+1895	ribE	SAR1852	SAV1770	SAHV_1755	SATW20_17600
+1996	ribD	SAR1853	SAV1771	SAHV_1756	SATW20_17610
+2272	x	SAR1854	SAV1772	SAHV_1757	SATW20_17620
+1138	arsR	SAR1855	SAV1773	SAHV_1758	x
+711	arsB	SAR1856	SAV1774	SAHV_1759	SATW20_17630
+3288	x	SAR1857	SAV1775	SAHV_1760	SATW20_17650
+80	bacA	SAR1858	SAV1776	SAHV_1761	SATW20_17660
+784	sigS	SAR1859	SAV1777	SAHV_1762	SATW20_17670
+3407	x	SAR1860	x	x	x
+2802	x	SAR1861	SAV1779	SAHV_1764	SATW20_17690
+5561	x	SAR1862	x	x	x
+3344	x	SAR1863	x	x	x
+5374	tal	SAR1864	SAV1781	SAHV_1766	SATW20_17710
+2219	x	SAR1865	SAV1782	SAHV_1767	SATW20_17720
+2537	crcB	SAR1866	SAV1783	SAHV_1768	SATW20_17730
+2334	crcB_1	SAR1867	SAV1784	SAHV_1769	SATW20_17740
+702	yvgN_2	SAR1868	SAV1788	SAHV_1773	SATW20_17770
+2645	x	SAR1869	SAV1789	SAHV_1774	SATW20_17780
+2589	metK	SAR1870	SAV1790	SAHV_1775	SATW20_17790
+2744	pckA	SAR1871	SAV1791	SAHV_1776	SATW20_17800
+1980	x	SAR1873	SAV1793	SAHV_1778	SATW20_17820
+800	ytkD	SAR1874	SAV1794	SAHV_1779	SATW20_17830
+3766	yidD	SAR1875	SAV1795	SAHV_1780	SATW20_17840
+661	menC	SAR1876	SAV1796	SAHV_1781	SATW20_17850
+1782	menE	SAR1877	SAV1797	SAHV_1782	SATW20_17860
+379	x	SAR1878	SAV1798	SAHV_1783	SATW20_17870
+2576	x	SAR1879	SAV1799	SAHV_1784	SATW20_17880
+16	gntP	SAR1880	SAV1800	SAHV_1785	SATW20_17890
+1758	gntK	SAR1881	SAV1801	SAHV_1786	SATW20_17900
+1518	gntR	SAR1882	SAV1802	SAHV_1787	SATW20_17910
+1456	x	SAR1883	SAV1803	SAHV_1788	SATW20_17920
+561	x	SAR1884	x	x	x
+8110	x	SAR1885	x	x	x
+1161	x	SAR1886	x	x	x
+2683	x	SAR1889	x	x	x
+1168	x	SAR1890	x	x	x
+2155	x	SAR1893	x	x	SATW20_17990
+3143	x	SAR1894	x	x	x
+688	x	SAR1895	x	x	x
+1037	x	SAR1896	x	x	x
+131	x	SAR1897	x	x	x
+2427	hsdS	SAR1898	x	x	x
+1466	hsdM	SAR1899	SAV1808	SAHV_1793	SATW20_05080
+2362	splE	SAR1902	x	x	SATW20_18070
+833	splB2	SAR1905	x	x	x
+128	splC	SAR1906	SAV1811	SAHV_1796	SATW20_18090
+7920	x	SAR1908	x	x	x
+875	x	SAR1910	x	x	x
+4122	x	SAR1911	x	x	x
+1408	x	SAR1913	x	x	x
+4445	entG	SAR1916	SAV1824	SAHV_1809	x
+1175	sen	SAR1917	SAV1825	SAHV_1810	x
+996	entB	SAR1918	SAV1826	SAHV_1811	x
+3448	sei	SAR1919	SAV1828	SAHV_1813	x
+1265	sem	SAR1920	SAV1829	SAHV_1814	x
+505	entD	SAR1921	SAV1830	SAHV_1815	x
+1162	x	SAR1922	SAV1831	SAHV_1816	SATW20_18250
+482	hemG	SAR1923	SAV1832	SAHV_1817	SATW20_18260
+3120	hemH	SAR1924	SAV1833	SAHV_1818	SATW20_18270
+1991	hemE	SAR1925	SAV1834	SAHV_1819	SATW20_18280
+1159	traP	SAR1926	SAV1835	SAHV_1820	SATW20_18290
+635	ecsB	SAR1927	SAV1836	SAHV_1821	SATW20_18300
+1868	ecsA	SAR1928	SAV1837	SAHV_1822	SATW20_18310
+4171	hit	SAR1929	SAV1838	SAHV_1823	SATW20_18320
+4	gvpP	SAR1930	SAV1839	SAHV_1824	SATW20_18330
+5730	x	SAR1930a	x	x	x
+801	x	SAR1931	SAV1840	SAHV_1825	SATW20_18340
+1656	prsA	SAR1932	SAV1841	SAHV_1826	SATW20_18350
+3439	cbf1	SAR1933	SAV1842	SAHV_1827	SATW20_18360
+1945	x	SAR1934	SAV1843	SAHV_1828	SATW20_18370
+714	nrdI	SAR1935	SAV1844	SAHV_1829	SATW20_18380
+6328	x	SAR1936	SAV1845	SAHV_1830	SATW20_18390
+1556	nrdF	SAR1937	SAV1846	SAHV_1831	SATW20_18400
+3673	x	SAR1938	SAV1847	SAHV_1832	SATW20_18410
+1345	yhcR	SAR1939	SAV1848	SAHV_1833	SATW20_18420
+895	yhcS	SAR1940	SAV1849	SAHV_1834	SATW20_18430
+2422	rluA	SAR1941	SAV1850	SAHV_1835	SATW20_18440
+2519	fumC	SAR1942	SAV1851	SAHV_1836	SATW20_18450
+215	x	SAR1943	SAV1852	SAHV_1837	SATW20_18460
+3203	x	SAR1944	x	x	x
+4329	x	SAR1945	SAV1854	SAHV_1839	SATW20_18480
+5164	trmL	SAR1946	SAV1855	SAHV_1840	SATW20_18490
+1424	queG	SAR1947	SAV1856	SAHV_1841	SATW20_18500
+1135	glnQ	SAR1948	SAV1857	SAHV_1842	SATW20_18510
+35	pepT	SAR1949	SAV1858	SAHV_1843	SATW20_18520
+1099	pfoS/R	SAR1950	SAV1859	SAHV_1844	SATW20_18530
+7342	perR	SAR1951	SAV1861	SAHV_1846	SATW20_18550
+684	pdxB_3	SAR1952	SAV1862	SAHV_1847	SATW20_18560
+3305	bcp	SAR1953	SAV1863	SAHV_1848	SATW20_18570
+1263	hemL_2	SAR1954	SAV1864	SAHV_1849	SATW20_18580
+1594	x	SAR1955	SAV1865	SAHV_1850	SATW20_18590
+278	msbA	SAR1956	SAV1866	SAHV_1851	SATW20_18600
+3280	x	SAR1957	SAV1867	SAHV_1852	SATW20_18610
+2227	mutY	SAR1958	SAV1868	SAHV_1853	SATW20_18620
+493	yfhP	SAR1959	SAV1869	SAHV_1854	SATW20_18630
+1313	tagG	SAR1960	SAV1870	SAHV_1855	SATW20_18640
+13	secA	SAR1961	SAV1871	SAHV_1856	SATW20_18650
+596	prfB	SAR1962	SAV1872	SAHV_1857	SATW20_18660
+295	recX	SAR1963	SAV1873	SAHV_1858	SATW20_18670
+1994	mgt	SAR1964	SAV1874	SAHV_1859	SATW20_18680
+1223	yfkM	SAR1965	SAV1875	SAHV_1860	SATW20_18690
+13498	x	SAR1966	x	x	x
+2903	x	SAR1967	SAV1877	SAHV_1862	SATW20_18710
+3819	uvrA	SAR1968	SAV1878	SAHV_1863	SATW20_18720
+59	pepS	SAR1969	SAV1879	SAHV_1864	SATW20_18730
+2900	yfkK	SAR1970	SAV1880	SAHV_1865	SATW20_18740
+2035	ptpA	SAR1971	SAV1881	SAHV_1866	SATW20_18750
+1468	x	SAR1972	SAV1882	SAHV_1867	SATW20_18760
+133	yihY	SAR1973	SAV1883	SAHV_1868	SATW20_18770
+6116	vraR	SAR1974	SAV1884	SAHV_1869	SATW20_18780
+2542	vraS	SAR1975	SAV1885	SAHV_1870	SATW20_18790
+1531	trxB	SAR1976	SAV1886	SAHV_1871	SATW20_18800
+2424	x	SAR1977	SAV1887	SAHV_1872	SATW20_18810
+1843	map	SAR1978	SAV1888	SAHV_1873	SATW20_18820
+1541	x	SAR1980	SAV1889	SAHV_1874	SATW20_18830
+726	x	SAR1981	SAV1890	SAHV_1875	SATW20_18840
+4811	clpP	SAR1982	SAV1891	SAHV_1876	SATW20_18850
+2582	murE2	SAR1983	SAV1892	SAHV_1877	SATW20_18860
+2016	ftnA	SAR1984	SAV1893	SAHV_1878	SATW20_18870
+2313	polC	SAR1985	SAV1894	SAHV_1879	SATW20_18880
+970	dinB	SAR1986	SAV1895	SAHV_1880	SATW20_18890
+407	gapR	SAR1987	SAV1896	SAHV_1881	SATW20_18900
+2505	rumA	SAR1988	SAV1897	SAHV_1882	SATW20_18910
+3461	dagK	SAR1989	SAV1898	SAHV_1883	SATW20_18920
+3618	gatB	SAR1991	SAV1899	SAHV_1884	SATW20_18940
+3147	gatA	SAR1992	SAV1900	SAHV_1885	SATW20_18950
+4635	gatC	SAR1993	SAV1901	SAHV_1886	SATW20_18960
+3290	putP	SAR1994	SAV1902	SAHV_1887	SATW20_18970
+5299	camS	SAR1995	SAV1903	SAHV_1888	SATW20_18980
+815	ligA	SAR1996	SAV1904	SAHV_1889	SATW20_18990
+1292	pcrA	SAR1997	SAV1905	SAHV_1890	SATW20_19000
+1856	pcrB	SAR1998	SAV1906	SAHV_1891	SATW20_19010
+6808	x	SAR1999	SAV1907	SAHV_1892	SATW20_19020
+1213	purB	SAR2000	SAV1908	SAHV_1893	SATW20_19030
+1118	sspP	SAR2001	SAV1909	SAHV_1894	SATW20_19040
+43	sspA	SAR2002	SAV1910	SAHV_1895	x
+2594	yebG	SAR2003	x	x	SATW20_19050
+619	x	SAR2004	SAV1911	SAHV_1896	SATW20_19060
+280	nadE	SAR2005	SAV1912	SAHV_1897	SATW20_19070
+1060	pncB	SAR2006	SAV1913	SAHV_1898	SATW20_19080
+575	nos	SAR2007	SAV1914	SAHV_1899	SATW20_19090
+223	pheA	SAR2008	SAV1915	SAHV_1900	SATW20_19100
+1005:1	sdcS	SAR2009	SAV1916	SAHV_1901	SATW20_19110
+2191	x	SAR2010	SAV1917	SAHV_1902	SATW20_19120
+2937	entB3	SAR2011	SAV1918	SAHV_1903	SATW20_19130
+3012	ppaC	SAR2012	SAV1919	SAHV_1904	SATW20_19140
+590	aldH	SAR2013	SAV1920	SAHV_1905	SATW20_19150
+1272	ykgB	SAR2014	SAV1921	SAHV_1906	SATW20_19160
+1613	yolD	SAR2015	SAV1922	SAHV_1907	SATW20_19170
+4317	x	SAR2016	SAV1924	SAHV_1909	SATW20_19180
+2561	ptsG	SAR2017	SAV1925	SAHV_1910	SATW20_19190
+2431	x	SAR2018	SAV1926	SAHV_1911	SATW20_19200
+4376	x	SAR2019	SAV1927	SAHV_1912	SATW20_19210
+3997	x	SAR2020	SAV1928	SAHV_1913	SATW20_19220
+1931	poxB	SAR2021	SAV1929	SAHV_1914	SATW20_19230
+2352	x	SAR2022	SAV1930	SAHV_1915	SATW20_19240
+528	x	SAR2023	SAV1931	SAHV_1916	SATW20_19250
+1662	x	SAR2024	SAV1932	SAHV_1917	SATW20_19260
+2010	x	SAR2025	SAV1933	SAHV_1918	SATW20_19270
+2626	x	SAR2026	SAV1934	SAHV_1919	SATW20_19280
+1101	x	SAR2027	x	x	x
+2068	x	SAR2028	SAV1936	SAHV_1921	SATW20_19300
+609	map	SAR2030	SAV1938	SAHV_1923	x
+6953	hlb	SAR2032	SAV1940	SAHV_1925	SATW20_19330
+4689	x	SAR2033	SAV1941	SAHV_1926	SATW20_19340
+513	x	SAR2034	x	x	SATW20_19350
+6130	scn_2	SAR2035	SAV1942	SAHV_1927	SATW20_19360
+1524	chp	SAR2036	x	x	x
+3900:1	sak	SAR2039	SAV1944	SAHV_1930	SATW20_19380
+2740	ami	SAR2040	SAV1945	SAHV_1931	SATW20_19390
+2629	x	SAR2041	SAV1946	SAHV_1932	SATW20_19400
+305	entA	SAR2043	SAV1948	SAHV_1934	SATW20_19410
+9196	x	SAR2044	x	x	x
+3953	x	SAR2045	SAV1950	SAHV_1936	SATW20_19420
+4195	x	SAR2046	SAV1951	SAHV_1937	SATW20_19430
+12563	x	SAR2047	x	x	x
+2571	x	SAR2048	SAV1953	SAHV_1939	SATW20_19450
+2720	x	SAR2049	SAV1954	SAHV_1940	SATW20_19460
+88	cspC	SAR2050	SAV1955	SAHV_1941	SATW20_19470
+9119	x	SAR2051	x	x	x
+4488	x	SAR2052	SAV1956	SAHV_1942	SATW20_19490
+765	x	SAR2054	SAV1957	SAHV_1943	x
+1217	x	SAR2055	SAV1958	SAHV_1944	SATW20_19510
+166	x	SAR2058	SAV1960	SAHV_1946	SATW20_19530
+718	x	SAR2059	SAV1961	SAHV_1947	SATW20_19540
+1115	x	SAR2060	SAV1962	SAHV_1948	SATW20_19550
+1048	x	SAR2061	SAV1963	SAHV_1949	SATW20_19560
+3790	clpP_2	SAR2062	SAV1964	SAHV_1950	SATW20_19570
+687	x	SAR2063	SAV1965	SAHV_1951	SATW20_19580
+2055	x	SAR2064	SAV1966	SAHV_1952	SATW20_19590
+3401	x	SAR2065	SAV1967	SAHV_1953	SATW20_19600
+3569	x	SAR2066	SAV1968	SAHV_1954	SATW20_19620
+1700	x	SAR2067	SAV1969	SAHV_1955	SATW20_19630
+250	x	SAR2068	SAV1970	SAHV_1956	SATW20_19640
+6063	x	SAR2069	x	x	SATW20_19650
+1306	x	SAR2070	SAV0881	SAHV_0876	SATW20_19660
+759:1	x	SAR2071	SAV0877	SAHV_0872	SATW20_19670
+2179	dut	SAR2072	x	x	x
+8443	x	SAR2073	x	x	x
+122:1	x	SAR2074	SAV0875	SAHV_0870	SATW20_03520
+4293	x	SAR2075	x	x	x
+137	x	SAR2076	SAV1978	SAHV_0869	SATW20_19730
+1044	x	SAR2077	SAV0873	SAHV_0868	SATW20_03460
+157	x	SAR2080	SAV1981	SAHV_1967	SATW20_03440
+457:1	ssb_3	SAR2083	SAV1983	SAHV_1969	SATW20_03420
+1016:1	x	SAR2084	SAV1984	SAHV_1970	SATW20_19800
+827	recT	SAR2085	SAV1985	SAHV_1971	x
+656	x	SAR2086	SAV1986	SAHV_1972	SATW20_19820
+2171	x	SAR2087	SAV1987	SAHV_1973	SATW20_19830
+2145	x	SAR2088	x	x	x
+5765	x	SAR2089	x	x	x
+14880	x	SAR2091	x	x	x
+1494	x	SAR2092	SAV1991	SAHV_1977	SATW20_19870
+6685	x	SAR2093	SAV1992	SAHV_1978	SATW20_19880
+4865	x	SAR2095	SAV1993	SAHV_1979	SATW20_19900
+393	x	SAR2096	SAV1994	SAHV_1980	SATW20_19910
+918	x	SAR2097	x	x	SATW20_19920
+11141	x	SAR2098	x	x	SATW20_19930
+921	x	SAR2099	x	x	SATW20_19940
+4995	x	SAR2100	x	x	SATW20_19950
+3207	x	SAR2101	x	x	SATW20_19960
+7716	x	SAR2102	x	x	SATW20_19970
+2099	x	SAR2103	SAV2000	SAHV_1986	SATW20_19980
+10132	hlb	SAR2104	SAV2001	SAHV_1987	SATW20_19990
+698	int	SAR2105	SAV2002	SAHV_1988	SATW20_20000
+882	lukF	SAR2107	SAV2004	SAHV_1990	SATW20_20010
+1294	lukS	SAR2108	SAV2005	SAHV_1991	SATW20_20020
+188	dapE	SAR2109	SAV2006	SAHV_1992	SATW20_20030
+585	ktrB	SAR2111	SAV2007	SAHV_1993	SATW20_20070
+1416	x	SAR2113	x	x	x
+2152	x	SAR2114	x	x	x
+7895	x	SAR2115	x	x	x
+3313	groL	SAR2116	SAV2029	SAHV_2014	SATW20_20120
+1036	groS	SAR2117	SAV2030	SAHV_2015	SATW20_20130
+926	copA	SAR2118	SAV2031	SAHV_2016	SATW20_20140
+1670	sdrH	SAR2119	SAV2032	SAHV_2017	SATW20_20150
+4222	x	SAR2120	SAV2033	SAHV_2018	SATW20_20160
+3580:1	amiE	SAR2121	SAV2034	SAHV_2019	SATW20_20170
+10747	hld	SAR2122	SAV2035	SAHV_2020	SATW20_20180
+518	agrB	SAR2123	x	x	SATW20_20190
+1697	agrC	SAR2125	SAV2038	SAHV_2023	SATW20_20210
+1770	agrA	SAR2126	SAV2039	SAHV_2024	SATW20_20220
+247	frk1	SAR2127	SAV2040	SAHV_2025	SATW20_20230
+288	scrB	SAR2128	SAV2041	SAHV_2026	SATW20_20240
+5485	scrR	SAR2129	SAV2042	SAHV_2027	SATW20_20250
+1309	amt	SAR2130	SAV2043	SAHV_2028	SATW20_20260
+251	tnp	SAR2131	SAV2044	SAHV_2029	SATW20_20270
+1007	x	SAR2132	SAV2045	SAHV_2030	x
+1071	rex	SAR2133	SAV2046	SAHV_2031	SATW20_21860
+898	vga	SAR2134	SAV2047	SAHV_2032	SATW20_21870
+161	mutS	SAR2135	SAV2048	SAHV_2033	SATW20_21880
+2318	gcp	SAR2136	SAV2049	SAHV_2034	SATW20_21890
+5154	rimI	SAR2137	SAV2050	SAHV_2035	SATW20_21900
+2793	yeaZ	SAR2138	SAV2051	SAHV_2036	SATW20_21910
+2736	yjeE	SAR2139	SAV2052	SAHV_2037	SATW20_21920
+3281	ilvD	SAR2140	SAV2053	SAHV_2038	SATW20_21930
+636	ilvB	SAR2141	SAV2054	SAHV_2039	SATW20_21940
+1976	ilvC	SAR2143	SAV2056	SAHV_2041	SATW20_21960
+1812	leuA	SAR2144	SAV2057	SAHV_2042	SATW20_21970
+2448	leuB	SAR2145	SAV2058	SAHV_2043	SATW20_21980
+183	leuC	SAR2146	SAV2059	SAHV_2044	SATW20_21990
+2767	leuD	SAR2147	SAV2060	SAHV_2045	SATW20_22000
+1436	ilvA	SAR2148	SAV2061	SAHV_2046	SATW20_22010
+7006	x	SAR2149	x	x	x
+2360	mnhD	SAR2150	SAV2062	SAHV_2047	SATW20_22020
+1821	yhgF	SAR2151	SAV2063	SAHV_2048	SATW20_22030
+1233	sigB	SAR2152	SAV2064	SAHV_2049	SATW20_22040
+434	rsbW	SAR2153	SAV2065	SAHV_2050	SATW20_22050
+5103	rsbV	SAR2154	SAV2066	SAHV_2051	SATW20_22060
+323	rsbU	SAR2155	SAV2067	SAHV_2052	SATW20_22070
+3375	mazF	SAR2156	SAV2068	SAHV_2053	SATW20_22080
+3922	mazE	SAR2157	SAV2069	SAHV_2054	SATW20_22090
+1522	alr	SAR2158	SAV2070	SAHV_2055	SATW20_22100
+1962	acpS	SAR2159	SAV2071	SAHV_2056	SATW20_22110
+1724	ydbS	SAR2160	SAV2072	SAHV_2057	SATW20_22120
+2380	ydbT	SAR2161	SAV2073	SAHV_2058	SATW20_22130
+1704	argH	SAR2162	SAV2074	SAHV_2059	SATW20_22140
+3091	kdpC	SAR2163	SAV2075	SAHV_2060	SATW20_22150
+470	kdpB	SAR2164	SAV2076	SAHV_2061	SATW20_22160
+235	kdpA	SAR2165	SAV2077	SAHV_2062	SATW20_22170
+1086	kdpD	SAR2166	SAV2078	SAHV_2063	SATW20_22180
+65	kdpE	SAR2167	SAV2079	SAHV_2064	SATW20_22190
+441	cshA	SAR2168	SAV2081	SAHV_2066	SATW20_22200
+3098	murF	SAR2169	SAV2082	SAHV_2067	SATW20_22210
+1823	ddl	SAR2170	SAV2083	SAHV_2068	SATW20_22220
+3	ftsW	SAR2171	SAV2084	SAHV_2069	SATW20_22230
+8562	rexA	SAR2173	SAV2085	SAHV_2070	SATW20_22240
+376	x	SAR2174	SAV2086	SAHV_2071	SATW20_22250
+1004	cls	SAR2177	SAV2088	SAHV_2073	SATW20_22270
+1261	x	SAR2178	SAV2089	SAHV_2074	SATW20_22280
+1130	oxaA	SAR2179	SAV2090	SAHV_2075	SATW20_22290
+1498	thiE	SAR2180	SAV2091	SAHV_2076	SATW20_22300
+2969	thiM	SAR2181	SAV2092	SAHV_2077	SATW20_22310
+1622	thiD	SAR2182	SAV2093	SAHV_2078	SATW20_22320
+1326	tenA	SAR2183	SAV2094	SAHV_2079	SATW20_22330
+3979	x	SAR2183b	x	x	x
+1965	sceD	SAR2184	SAV2095	SAHV_2080	SATW20_22340
+348	ssb_2	SAR2185	SAV2096	SAHV_2081	SATW20_22350
+1831	ywpF	SAR2186	SAV2097	SAHV_2082	SATW20_22360
+742	fabZ	SAR2187	SAV2098	SAHV_2083	SATW20_22370
+151	murA_1	SAR2188	SAV2099	SAHV_2084	SATW20_22380
+7402	x	SAR2189	SAV2101	SAHV_2085	SATW20_22390
+2728	atpC	SAR2190	SAV2102	SAHV_2086	SATW20_22400
+2766	atpD	SAR2191	SAV2103	SAHV_2087	SATW20_22410
+448	atpG	SAR2192	SAV2104	SAHV_2088	SATW20_22420
+1121	atpA	SAR2193	SAV2105	SAHV_2089	SATW20_22430
+909	atpH	SAR2194	SAV2106	SAHV_2090	SATW20_22440
+3382	atpF	SAR2195	SAV2107	SAHV_2091	SATW20_22450
+8944:1	atpE	SAR2196	SAV2108	SAHV_2092	SATW20_22460
+1438	atpB	SAR2197	SAV2109	SAHV_2093	SATW20_22470
+73	atpI	SAR2198	SAV2110	SAHV_2094	SATW20_22480
+343	mnaA	SAR2199	SAV2111	SAHV_2095	SATW20_22490
+2027	upp	SAR2200	SAV2112	SAHV_2096	SATW20_22500
+257	glyA	SAR2201	SAV2113	SAHV_2097	SATW20_22510
+524	ywlG	SAR2202	SAV2114	SAHV_2098	SATW20_22520
+2926	ptpB	SAR2203	SAV2115	SAHV_2099	SATW20_22530
+237	sua5	SAR2204	SAV2116	SAHV_2100	SATW20_22540
+1707	prmC	SAR2205	SAV2117	SAHV_2101	SATW20_22550
+2882	prfA	SAR2206	SAV2118	SAHV_2102	SATW20_22560
+37	tdk	SAR2207	SAV2119	SAHV_2103	SATW20_22570
+9449	rpmE	SAR2208	SAV2120	SAHV_2104	SATW20_22580
+2135	rho	SAR2209	SAV2121	SAHV_2105	SATW20_22590
+208	aldA	SAR2210	SAV2122	SAHV_2106	SATW20_22600
+344	x	SAR2211	SAV2123	SAHV_2107	SATW20_22610
+1646	murA_2	SAR2212	SAV2124	SAHV_2108	SATW20_22620
+2420	fba	SAR2213	SAV2125	SAHV_2109	SATW20_22630
+5753	x	SAR2214	SAV2126	SAHV_2110	SATW20_22640
+2462	pyrG	SAR2215	SAV2127	SAHV_2111	SATW20_22650
+1706	rpoE	SAR2216	SAV2128	SAHV_2112	SATW20_22660
+3396	blt	SAR2217	SAV2129	SAHV_2113	SATW20_22670
+301	coaA	SAR2218	SAV2130	SAHV_2114	SATW20_22680
+1718	ppnK	SAR2219	SAV2131	SAHV_2115	SATW20_22690
+2529	x	SAR2220	SAV2132	SAHV_2116	SATW20_22700
+475	hmrA	SAR2221	SAV2133	SAHV_2117	SATW20_22710
+3850	luxS	SAR2222	SAV2134	SAHV_2118	SATW20_22720
+2297	x	SAR2223	SAV2135	SAHV_2119	SATW20_22730
+1387	pdp	SAR2224	SAV2136	SAHV_2120	SATW20_22740
+5058	deoD	SAR2226	SAV2138	SAHV_2122	SATW20_22760
+1358	dps	SAR2227	SAV2139	SAHV_2123	SATW20_22770
+615	x	SAR2228	SAV2140	SAHV_2124	SATW20_22780
+1501	x	SAR2229	SAV2141	SAHV_2125	SATW20_22790
+962	x	SAR2230	SAV2142	SAHV_2126	SATW20_22800
+363	manA	SAR2231	SAV2143	SAHV_2127	SATW20_22810
+2612	ylbE	SAR2232	SAV2144	SAHV_2128	SATW20_22820
+2116	czrA	SAR2233	SAV2145	SAHV_2129	SATW20_22830
+2395	czcD	SAR2234	SAV2146	SAHV_2130	SATW20_22840
+2458	x	SAR2235	SAV2147	SAHV_2131	SATW20_22850
+929	htrA	SAR2240	SAV2152	SAHV_2136	SATW20_22880
+3436	x	SAR2241	SAV2153	SAHV_2137	SATW20_22890
+2468	glmS	SAR2242	SAV2154	SAHV_2138	SATW20_22900
+5032	x	SAR2243	SAV2155	SAHV_2139	x
+162	mtlA	SAR2244	SAV2156	SAHV_2140	SATW20_22910
+2311:1	bglG	SAR2245	SAV2157	SAHV_2141	SATW20_22920
+2486	mtlF	SAR2246	SAV2158	SAHV_2142	SATW20_22930
+2331	mtlD	SAR2247	SAV2159	SAHV_2143	SATW20_22940
+4461	glmM	SAR2252	SAV2161	SAHV_2145	SATW20_22960
+1645	x	SAR2253	SAV2162	SAHV_2146	SATW20_22970
+158	disA	SAR2254	SAV2163	SAHV_2147	SATW20_22980
+623	rocF	SAR2255	SAV2164	SAHV_2148	SATW20_22990
+3521	apbC	SAR2256	SAV2165	SAHV_2149	SATW20_23010
+3245	sepA	SAR2259	SAV2167	SAHV_2151	SATW20_23030
+281	x	SAR2260	x	x	SATW20_23040
+1114	x	SAR2261	SAV2170	SAHV_2154	SATW20_23050
+433	galU_2	SAR2262	SAV2171	SAHV_2155	SATW20_23060
+2292	x	SAR2263	SAV2172	SAHV_2156	SATW20_23070
+4620	x	SAR2264	SAV2173	SAHV_2157	SATW20_23080
+2946	x	SAR2265	SAV2174	SAHV_2158	SATW20_23090
+2591	fecD	SAR2266	SAV2175	SAHV_2159	SATW20_23100
+565	htsB	SAR2267	SAV2176	SAHV_2160	SATW20_23110
+2403	htsA	SAR2268	SAV2177	SAHV_2161	SATW20_23120
+1307	x	SAR2269	SAV2178	SAHV_2162	SATW20_23130
+649	memD	SAR2270	SAV2179	SAHV_2163	SATW20_23140
+1202	x	SAR2271	SAV2180	SAHV_2164	SATW20_23150
+3213	x	SAR2272	SAV2181	SAHV_2165	SATW20_23160
+442	asp23	SAR2273	SAV2182	SAHV_2166	SATW20_23200
+633	sspC	SAR2274	SAV2183	SAHV_2167	SATW20_23210
+2779	sspB	SAR2275	SAV2184	SAHV_2168	SATW20_23220
+1867	opuD2	SAR2276	SAV2185	SAHV_2169	SATW20_23230
+14	x	SAR2277	SAV2186	SAHV_2170	SATW20_23240
+29	P2	SAR2278	SAV2187	SAHV_2171	SATW20_23250
+3056	x	SAR2279	SAV2188	SAHV_2172	SATW20_23260
+857	lacG	SAR2280	SAV2189	SAHV_2173	SATW20_23270
+605	lacE	SAR2281	SAV2190	SAHV_2174	SATW20_23280
+1776	lacF	SAR2282	SAV2191	SAHV_2175	SATW20_23290
+2203	lacD	SAR2283	SAV2192	SAHV_2176	SATW20_23300
+2853	lacC	SAR2284	SAV2193	SAHV_2177	SATW20_23310
+2606	lacB	SAR2285	SAV2194	SAHV_2178	SATW20_23320
+72	lacA	SAR2286	SAV2195	SAHV_2179	SATW20_23330
+1312	lacR	SAR2287	SAV2196	SAHV_2180	SATW20_23340
+1304	npdA	SAR2288	SAV2197	SAHV_2181	SATW20_23350
+2696	x	SAR2289	x	x	SATW20_23360
+650	akr5f	SAR2290	SAV2200	SAHV_2184	SATW20_23380
+2022	x	SAR2291	SAV2201	SAHV_2185	SATW20_23390
+1034	hysA	SAR2292	SAV2202	SAHV_2186	SATW20_23400
+3426	purK	SAR2293	SAV2203	SAHV_2187	SATW20_23410
+2241	x	SAR2294	SAV2204	SAHV_2188	SATW20_23420
+1206	eap	SAR2295	SAV2205	SAHV_2189	SATW20_23430
+1768	budA_2	SAR2296	SAV2206	SAHV_2190	SATW20_23440
+1051	alsS	SAR2297	SAV2207	SAHV_2191	SATW20_23450
+15149	x	SAR2297b	x	x	x
+503	x	SAR2299	x	x	x
+1893	rpsI	SAR2300	SAV2217	SAHV_2201	SATW20_23510
+5651	rplM	SAR2301	SAV2218	SAHV_2202	SATW20_23520
+3345	truA	SAR2302	SAV2219	SAHV_2203	SATW20_23530
+2354	ecfT	SAR2303	SAV2220	SAHV_2204	SATW20_23540
+83	ecfA1	SAR2304	SAV2221	SAHV_2205	SATW20_23550
+700	cbiO	SAR2305	SAV2222	SAHV_2206	SATW20_23560
+5947	rplQ	SAR2308	SAV2223	SAHV_2207	SATW20_23570
+299	rpoA	SAR2309	SAV2224	SAHV_2208	SATW20_23580
+40	rpsK	SAR2310	SAV2225	SAHV_2209	SATW20_23590
+5678	rpsM	SAR2311	SAV2226	SAHV_2210	SATW20_23600
+13189	rpmJ	SAR2312	SAV2227	SAHV_2211	SATW20_23610
+5465	infA	SAR2313	SAV2228	SAHV_2212	SATW20_23620
+1103	adk	SAR2314	SAV2229	SAHV_2213	SATW20_23630
+3718	secY	SAR2315	SAV2230	SAHV_2214	SATW20_23640
+761	rplO	SAR2316	SAV2231	SAHV_2215	SATW20_23650
+8178	rpmD	SAR2317	SAV2232	SAHV_2216	SATW20_23660
+5668	rpsE	SAR2318	SAV2233	SAHV_2217	SATW20_23670
+1894	rplR	SAR2319	SAV2234	SAHV_2218	SATW20_23680
+1870	rplF	SAR2320	SAV2235	SAHV_2219	SATW20_23690
+5290	rpsH	SAR2321	SAV2236	SAHV_2220	SATW20_23700
+4916	rpsN	SAR2322	SAV2237	SAHV_2221	SATW20_23710
+1908	rplE	SAR2323	SAV2238	SAHV_2222	SATW20_23720
+4889	rplX	SAR2324	SAV2239	SAHV_2223	SATW20_23730
+3336	rplN	SAR2325	SAV2240	SAHV_2224	SATW20_23740
+3937	rpsQ	SAR2326	SAV2241	SAHV_2225	SATW20_23750
+8995	rpmC	SAR2327	SAV2242	SAHV_2226	SATW20_23760
+1775	rplP	SAR2328	SAV2243	SAHV_2227	SATW20_23770
+4216	rpsC	SAR2329	SAV2244	SAHV_2228	SATW20_23780
+4257	rplV	SAR2330	SAV2245	SAHV_2229	SATW20_23790
+4892	rpsS	SAR2331	SAV2246	SAHV_2230	SATW20_23800
+4665	rplB	SAR2332	SAV2247	SAHV_2231	SATW20_23810
+4062	rplW	SAR2333	SAV2248	SAHV_2232	SATW20_23820
+4627	rplD	SAR2334	SAV2249	SAHV_2233	SATW20_23830
+2520	rplC	SAR2335	SAV2250	SAHV_2234	SATW20_23840
+3950	rpsJ	SAR2336	SAV2251	SAHV_2235	SATW20_23850
+2771	x	SAR2337	SAV2252	SAHV_2236	SATW20_23860
+709	pbuG	SAR2338	SAV2253	SAHV_2237	SATW20_23870
+1887	topB	SAR2339	SAV2254	SAHV_2238	SATW20_23880
+2704	x	SAR2340	SAV2255	SAHV_2239	SATW20_23890
+253	glcU	SAR2341	SAV2256	SAHV_2240	SATW20_23900
+1302	x	SAR2342	SAV2258	SAHV_2242	SATW20_23910
+8566	x	SAR2343	x	x	x
+222	x	SAR2344	SAV2260	SAHV_2244	SATW20_23930
+2259	pycA	SAR2345	SAV2261	SAHV_2245	SATW20_23940
+1735	femX	SAR2346	SAV2262	SAHV_2246	SATW20_23950
+117	x	SAR2347	SAV2263	SAHV_2247	x
+855	x	SAR2348	SAV2264	SAHV_2248	SATW20_23960
+3760	marR	SAR2349	SAV2265	SAHV_2249	SATW20_23970
+2935	x	SAR2350	SAV2266	SAHV_2250	SATW20_23980
+1954	sarV	SAR2351	SAV2267	SAHV_2251	SATW20_23990
+2404	moaA	SAR2352	SAV2268	SAHV_2252	SATW20_24000
+3001	mobA	SAR2353	SAV2269	SAHV_2253	SATW20_24010
+5048	moaD	SAR2354	SAV2270	SAHV_2254	SATW20_24020
+4166	moaE	SAR2355	SAV2271	SAHV_2255	SATW20_24030
+1999	mobB	SAR2356	SAV2272	SAHV_2256	SATW20_24040
+3338	moeA	SAR2357	SAV2273	SAHV_2257	SATW20_24050
+1890	moaC	SAR2358	SAV2274	SAHV_2258	SATW20_24060
+1784	moaB	SAR2359	SAV2275	SAHV_2259	SATW20_24070
+4464	moeB	SAR2360	SAV2276	SAHV_2260	SATW20_24080
+2265	modC	SAR2361	SAV2277	SAHV_2261	SATW20_24090
+2150	modB	SAR2362	SAV2278	SAHV_2262	SATW20_24100
+941	modA	SAR2363	SAV2279	SAHV_2263	SATW20_24110
+922	fdhD	SAR2364	SAV2280	SAHV_2264	SATW20_24120
+4394	isdD	SAR2365	SAV2281	SAHV_2265	SATW20_24130
+4014	bioY	SAR2366	SAV2282	SAHV_2266	SATW20_24140
+224	isdF	SAR2367	SAV2283	SAHV_2267	SATW20_24150
+792	fhuD	SAR2368	SAV2284	SAHV_2268	SATW20_24160
+3410	caiA	SAR2369	SAV2285	SAHV_2269	SATW20_24170
+1323	yut	SAR2371	SAV2287	SAHV_2271	SATW20_24180
+2977	ureA	SAR2372	SAV2288	SAHV_2272	SATW20_24190
+1134	ureB	SAR2373	SAV2289	SAHV_2273	SATW20_24200
+594	ureC	SAR2374	SAV2290	SAHV_2274	SATW20_24210
+2990	ureE	SAR2375	SAV2291	SAHV_2275	SATW20_24220
+4692	ureF	SAR2376	SAV2292	SAHV_2276	SATW20_24230
+385	ureG	SAR2377	SAV2293	SAHV_2277	SATW20_24240
+1564	ureD	SAR2378	SAV2294	SAHV_2278	SATW20_24250
+2274	sarR	SAR2379	SAV2295	SAHV_2279	SATW20_24260
+4134	pheS	SAR2380	SAV2296	SAHV_2280	SATW20_24270
+2674	sarY	SAR2381	SAV2297	SAHV_2281	SATW20_24280
+2173:1	rnhC	SAR2382	SAV2298	SAHV_2282	SATW20_24290
+48:1	ssaA_1	SAR2383	SAV2299	SAHV_2283	SATW20_26880
+4129	x	SAR2384	SAV2300	SAHV_2284	x
+644	nhaC	SAR2385	SAV2301	SAHV_2285	SATW20_24310
+3033	x	SAR2386	SAV2302	SAHV_2286	SATW20_24320
+334	x	SAR2387	SAV2303	SAHV_2287	SATW20_24330
+2860	ssaA_2	SAR2388	SAV2304	SAHV_2288	SATW20_24340
+3541	pdxB_2	SAR2389	SAV2305	SAHV_2289	SATW20_24350
+1835	x	SAR2390	SAV2306	SAHV_2290	SATW20_24360
+1632	lytA	SAR2391	SAV2307	SAHV_2291	SATW20_24370
+498	trxA	SAR2391a	x	x	SATW20_24380
+2980	yrhD	SAR2392	SAV2308	SAHV_2292	SATW20_24390
+556	fdhF	SAR2393	SAV2309	SAHV_2293	SATW20_24400
+2430	lytR2	SAR2394	SAV2310	SAHV_2294	SATW20_24410
+2996	suhB	SAR2395	SAV2311	SAHV_2295	SATW20_24420
+535	x	SAR2396	SAV2312	SAHV_2296	SATW20_24430
+451	murI	SAR2397	SAV2313	SAHV_2297	SATW20_24450
+1268	x	SAR2398	SAV2314	SAHV_2298	SATW20_24460
+2452	cudA	SAR2399	SAV2315	SAHV_2299	SATW20_24470
+747	proY	SAR2400	SAV2316	SAHV_2300	SATW20_24480
+1062	x	SAR2401	SAV2317	SAHV_2301	SATW20_24490
+1963	x	SAR2402	SAV2318	SAHV_2302	SATW20_24500
+3326	x	SAR2403	SAV2319	SAHV_2303	SATW20_24510
+2444	x	SAR2404	SAV2320	SAHV_2304	SATW20_24520
+3983	nrdG	SAR2407	SAV2322	SAHV_2306	SATW20_24540
+428	glvC	SAR2408	SAV2323	SAHV_2307	SATW20_24550
+512	nrdD	SAR2409	SAV2324	SAHV_2308	SATW20_24560
+3044	x	SAR2410	SAV2325	SAHV_2309	SATW20_24570
+2907	metT	SAR2411	SAV2326	SAHV_2310	SATW20_24580
+172	x	SAR2412	SAV2327	SAHV_2311	SATW20_24590
+2134	gdhII	SAR2413	SAV2328	SAHV_2312	SATW20_24600
+811	hutI	SAR2416	SAV2330	SAHV_2314	SATW20_24620
+532	hutU	SAR2417	SAV2331	SAHV_2315	SATW20_24630
+218	x	SAR2418	SAV2332	SAHV_2316	SATW20_24640
+4610	fosB	SAR2419	SAV2333	SAHV_2317	SATW20_24650
+193	hutG	SAR2420	SAV2334	SAHV_2318	SATW20_24660
+62	lyrA	SAR2421	SAV2335	SAHV_2319	SATW20_24670
+2981	rpiA	SAR2422	SAV2336	SAHV_2320	SATW20_24680
+1513	x	SAR2423	SAV2337	SAHV_2321	SATW20_24690
+4549	galM	SAR2424	SAV2338	SAHV_2322	SATW20_24700
+52	ynfA	SAR2425	SAV2339	SAHV_2323	SATW20_24710
+2049	x	SAR2426	SAV2340	SAHV_2324	SATW20_24720
+2727	x	SAR2427	SAV2341	SAHV_2325	SATW20_24730
+77	x	SAR2428	SAV2342	SAHV_2326	SATW20_24740
+2253	mag	SAR2429	SAV2344	SAHV_2328	SATW20_24750
+874	gltS	SAR2430	SAV2345	SAHV_2329	SATW20_24760
+791	fni	SAR2431	SAV2346	SAHV_2330	SATW20_24770
+739	corA	SAR2432	SAV2347	SAHV_2331	SATW20_24780
+1967	hsdR	SAR2433	SAV2348	SAHV_2332	SATW20_24790
+3135	x	SAR2434	SAV2349	SAHV_2333	SATW20_24800
+639	x	SAR2435	SAV2350	SAHV_2334	SATW20_24810
+4096	x	SAR2436	SAV2351	SAHV_2335	SATW20_24820
+1116	x	SAR2437	SAV2352	SAHV_2336	SATW20_24830
+239	emrA	SAR2438	SAV2353	SAHV_2337	SATW20_24840
+2449	x	SAR2439	SAV2354	SAHV_2338	SATW20_24850
+2129	tcaB	SAR2441	SAV2355	SAHV_2339	SATW20_24860
+2971	tcaA	SAR2442	SAV2356	SAHV_2340	SATW20_24870
+2493	tcaR	SAR2443	SAV2357	SAHV_2341	SATW20_24880
+111	x	SAR2444	SAV2358	SAHV_2342	SATW20_24890
+21	mraW	SAR2445	SAV2359	SAHV_2343	SATW20_24910
+3068	hrtB	SAR2446	SAV2360	SAHV_2344	SATW20_24920
+1675	hssR	SAR2447	SAV2361	SAHV_2345	SATW20_24930
+2245	hssS	SAR2448	SAV2362	SAHV_2346	SATW20_24940
+139	lytT	SAR2449	SAV2363	SAHV_2347	SATW20_24950
+1212	tnpA-3	SAR2450	SAV2364	SAHV_2348	SATW20_24960
+3757	x	SAR2451	x	x	x
+3020	x	SAR2452	x	x	x
+1361	x	SAR2453	x	x	x
+1128	mqo_2	SAR2454	SAV2365	SAHV_2349	SATW20_24970
+1322	lctP_1	SAR2455	SAV2366	SAHV_2350	SATW20_24980
+1157	x	SAR2456	SAV2367	SAHV_2351	SATW20_24990
+2517	murD	SAR2457	SAV2368	SAHV_2352	SATW20_25000
+454	paiA	SAR2458	SAV2369	SAHV_2353	SATW20_25010
+2298	yhfP	SAR2459	SAV2370	SAHV_2354	SATW20_25020
+1506	ftsA	SAR2460	SAV2371	SAHV_2355	SATW20_25030
+2574	trxB	SAR2461	SAV2372	SAHV_2356	SATW20_25040
+1185	x	SAR2462	SAV2373	SAHV_2357	SATW20_25050
+1479	yhgE	SAR2463	SAV2374	SAHV_2358	SATW20_25060
+2858	tetR	SAR2464	SAV2375	SAHV_2359	SATW20_25070
+2168	cobI	SAR2465	SAV2376	SAHV_2360	SATW20_25080
+1047	scrA	SAR2466	SAV2377	SAHV_2361	SATW20_25090
+4728	ccrC	SAR2467	SAV2378	SAHV_2362	SATW20_25100
+2548	araC	SAR2468	SAV2381	SAHV_2365	SATW20_25110
+2588	x	SAR2469	SAV2382	SAHV_2366	SATW20_25120
+3720	x	SAR2470	SAV2383	SAHV_2367	SATW20_25130
+2009	gltT	SAR2472	SAV2384	SAHV_2368	SATW20_25140
+4430	x	SAR2473	SAV2385	SAHV_2369	SATW20_25150
+3645	sarZ	SAR2474	SAV2386	SAHV_2370	SATW20_25160
+824	hsp20	SAR2475	SAV2387	SAHV_2371	SATW20_25170
+1172	narT	SAR2476	SAV2388	SAHV_2372	SATW20_25180
+2310	x	SAR2477	SAV2389	SAHV_2373	x
+1430	nreC	SAR2480	SAV2391	SAHV_2375	SATW20_25210
+592	nreB	SAR2481	SAV2392	SAHV_2376	SATW20_25220
+3165	nreA	SAR2482	SAV2393	SAHV_2377	SATW20_25230
+2275	narI	SAR2483	SAV2394	SAHV_2378	SATW20_25240
+383	narJ	SAR2484	SAV2395	SAHV_2379	SATW20_25250
+1932	narH	SAR2485	SAV2396	SAHV_2380	SATW20_25260
+1140	narG	SAR2486	SAV2397	SAHV_2381	SATW20_25270
+2676	cobA	SAR2487	SAV2398	SAHV_2382	SATW20_25280
+1872	nirD	SAR2488	SAV2399	SAHV_2383	SATW20_25290
+1461	nirB	SAR2489	SAV2400	SAHV_2384	SATW20_25300
+798	cbiX	SAR2490	SAV2401	SAHV_2385	SATW20_25310
+4186	pyrE	SAR2491	SAV2402	SAHV_2386	SATW20_25320
+1510	fnt	SAR2493	SAV2403	SAHV_2387	SATW20_25330
+1923	x	SAR2494	x	x	x
+2357	x	SAR2495	SAV2405	SAHV_2389	SATW20_25350
+212	adcA	SAR2496	SAV2406	SAHV_2390	SATW20_25360
+2096	gmk	SAR2497	SAV2407	SAHV_2391	SATW20_25370
+3019	yefM	SAR2498	SAV2408	SAHV_2392	SATW20_25380
+1727	dsbA	SAR2499	SAV2409	SAHV_2393	SATW20_25390
+4581	priA	SAR2500	SAV2410	SAHV_2394	SATW20_25400
+446	fmhA	SAR2501	SAV2411	SAHV_2395	SATW20_25410
+2545	tcyC	SAR2502	SAV2412	SAHV_2396	SATW20_25420
+1353	tcyB	SAR2503	SAV2413	SAHV_2397	SATW20_25430
+203	tcyA	SAR2504	SAV2414	SAHV_2398	SATW20_25440
+557	lmrB2	SAR2505	SAV2415	SAHV_2399	SATW20_25450
+378	gpmA	SAR2506	SAV2416	SAHV_2400	SATW20_25460
+1373	x	SAR2507	SAV2417	SAHV_2401	SATW20_25470
+744	sbi	SAR2508	SAV2418	SAHV_2402	SATW20_25480
+1414	hlgA	SAR2509	SAV2419	SAHV_2403	SATW20_25490
+1483	hlgC	SAR2510	SAV2420	SAHV_2404	SATW20_25500
+671	hlgB	SAR2511	SAV2421	SAHV_2405	SATW20_25510
+2407	bioX	SAR2512	SAV2422	SAHV_2406	SATW20_25520
+357	bioW	SAR2513	SAV2423	SAHV_2407	SATW20_25530
+47	bioF	SAR2514	SAV2424	SAHV_2408	SATW20_25540
+767	bioB	SAR2515	SAV2425	SAHV_2409	SATW20_25550
+2745	bioA	SAR2516	SAV2426	SAHV_2410	SATW20_25560
+1344	bioD	SAR2517	SAV2427	SAHV_2411	SATW20_25570
+932	x	SAR2518	SAV2428	SAHV_2412	SATW20_25580
+3010:1	x	SAR2519	SAV2429	SAHV_2413	SATW20_25590
+1370	x	SAR2520	SAV2430	SAHV_2414	x
+3134	gtrA	SAR2521	SAV2431	SAHV_2415	SATW20_25600
+1155	glxK	SAR2522	SAV2432	SAHV_2416	SATW20_25610
+951	x	SAR2523	SAV2433	SAHV_2417	SATW20_25620
+746	bcr	SAR2524	SAV2434	SAHV_2418	SATW20_25630
+2235	x	SAR2525	SAV2435	SAHV_2419	SATW20_25640
+69	x	SAR2526	SAV2436	SAHV_2420	SATW20_25650
+42	plsX	SAR2527	SAV2437	SAHV_2421	SATW20_25660
+1211	cycA	SAR2528	SAV2438	SAHV_2422	SATW20_25670
+435	arcD	SAR2529	SAV2439	SAHV_2423	SATW20_25680
+1143	fabD	SAR2530	SAV2440	SAHV_2424	SATW20_25690
+2799	ampC	SAR2531	SAV2441	SAHV_2425	SATW20_25700
+2270	fabG	SAR2532	SAV2442	SAHV_2426	SATW20_25710
+3982	panE	SAR2533	SAV2443	SAHV_2427	SATW20_25720
+277	norB_1	SAR2534	SAV2444	SAHV_2428	SATW20_25730
+981	opuCD	SAR2535	SAV2445	SAHV_2429	SATW20_25740
+418	opuCC	SAR2536	SAV2446	SAHV_2430	SATW20_25750
+419	opuBB	SAR2537	SAV2447	SAHV_2431	SATW20_25760
+745	opuBA	SAR2538	SAV2448	SAHV_2432	SATW20_25770
+1540	rpsP	SAR2539	SAV2449	SAHV_2433	SATW20_25780
+2713	x	SAR2540	SAV2450	SAHV_2434	SATW20_25790
+2936	pnbA	SAR2541	SAV2451	SAHV_2435	SATW20_25800
+1729	rimM	SAR2542	SAV2452	SAHV_2436	SATW20_25810
+1571	ybbM	SAR2543	SAV2453	SAHV_2437	SATW20_25820
+2033	pstB1	SAR2544	SAV2454	SAHV_2438	SATW20_25830
+789	ysdC	SAR2545	SAV2455	SAHV_2439	SATW20_25840
+3530	isaB	SAR2546	SAV2458	SAHV_2442	SATW20_25870
+1030	gltB2	SAR2547	SAV2459	SAHV_2443	SATW20_25880
+4083	x	SAR2548	SAV2460	SAHV_2444	SATW20_25890
+502	x	SAR2549	SAV2462	SAHV_2446	SATW20_25900
+2087	opp-1F	SAR2550	SAV2463	SAHV_2447	SATW20_25910
+1098	opp-1D	SAR2551	SAV2464	SAHV_2448	SATW20_25920
+4384	opp-1C	SAR2552	SAV2465	SAHV_2449	SATW20_25930
+1075	opp-1B	SAR2553	SAV2466	SAHV_2450	SATW20_25940
+674	nikA	SAR2554	SAV2467	SAHV_2451	SATW20_25950
+1827	gid	SAR2555	SAV2468	SAHV_2452	SATW20_25960
+2831	fmrO	SAR2556	SAV2469	SAHV_2453	SATW20_25970
+1192	dapF	SAR2557	SAV2470	SAHV_2454	SATW20_25980
+384	x	SAR2558	SAV2471	SAHV_2455	x
+2215	fabG	SAR2559	SAV2472	SAHV_2456	SATW20_26000
+3488	x	SAR2560	SAV2473	SAHV_2457	SATW20_26010
+2892	rpsB	SAR2561	SAV2474	SAHV_2458	SATW20_26020
+1314:1	tsf	SAR2563	SAV2475	SAHV_2460	SATW20_26030
+3191	bdhA	SAR2567	SAV2478	SAHV_2462	SATW20_26050
+3620	x	SAR2568	SAV2479	SAHV_2463	SATW20_26060
+504	cdsA	SAR2569	SAV2480	SAHV_2464	SATW20_26070
+1305:1	proS	SAR2570	SAV2486	SAHV_2471	SATW20_26080
+2114	polC	SAR2574	SAV2488	SAHV_2472	SATW20_26100
+1690	mutT	SAR2575	SAV2490	SAHV_2474	SATW20_26110
+611	pgcA	SAR2576	SAV2491	SAHV_2475	SATW20_26120
+4075	x	SAR2577	SAV2492	SAHV_2476	SATW20_26130
+2923	x	SAR2578	SAV2493	SAHV_2477	SATW20_26140
+3653	galU	SAR2579	SAV2500	SAHV_2484	SATW20_26200
+1555	fnbA	SAR2580	SAV2503	SAHV_2487	SATW20_26230
+2103	x	SAR2581	SAV2504	SAHV_2488	x
+423	gntP	SAR2582	SAV2505	SAHV_2489	SATW20_26240
+953	gntK	SAR2583	SAV2506	SAHV_2490	SATW20_26250
+566	gntR	SAR2584	SAV2507	SAHV_2491	SATW20_26260
+1569	x	SAR2585	SAV2508	SAHV_2492	SATW20_26270
+1862	ywaC	SAR2586	SAV2509	SAHV_2493	SATW20_26280
+757	x	SAR2587	SAV2510	SAHV_2494	SATW20_26290
+2832	x	SAR2588	SAV2511	SAHV_2495	SATW20_26300
+404	x	SAR2589	SAV2512	SAHV_2496	SATW20_26310
+808	x	SAR2590	SAV2513	SAHV_2497	SATW20_26320
+8604	x	SAR2591	x	x	x
+10070	x	SAR2592	x	x	x
+7829	x	SAR2593	x	x	x
+332	azi	SAR2594	SAV2514	SAHV_2498	SATW20_26350
+1960	x	SAR2595	SAV2515	SAHV_2499	SATW20_26360
+2263	fbp	SAR2596	SAV2516	SAHV_2500	SATW20_26370
+542	x	SAR2597	SAV2517	SAHV_2501	SATW20_26380
+620	x	SAR2598	SAV2518	SAHV_2502	SATW20_26390
+3560	cinA	SAR2599	SAV2519	SAHV_2503	SATW20_26400
+1455	recA	SAR2600	SAV2520	SAHV_2504	SATW20_26410
+1800	secY	SAR2601	SAV2521	SAHV_2505	SATW20_26420
+3924	sasA	SAR2602	SAV2522	SAHV_2506	SATW20_26430
+1900	ddh	SAR2605	SAV2524	SAHV_2508	SATW20_26450
+835	supH	SAR2607	SAV2525	SAHV_2509	SATW20_26460
+1544	srtA	SAR2608	SAV2528	SAHV_2512	SATW20_26490
+4661	pat	SAR2609	SAV2529	SAHV_2513	SATW20_26500
+134	sdaAA	SAR2610	SAV2530	SAHV_2514	SATW20_26510
+2631	sdaAB	SAR2611	SAV2531	SAHV_2515	SATW20_26520
+1150	pfoR_1	SAR2612	SAV2532	SAHV_2516	SATW20_26530
+3292	x	SAR2613	SAV2533	SAHV_2517	SATW20_26540
+1767	x	SAR2614	SAV2534	SAHV_2518	SATW20_26550
+4065	aes	SAR2615	SAV2535	SAHV_2519	SATW20_26560
+4743	x	SAR2616	SAV2536	SAHV_2520	SATW20_26570
+2090	x	SAR2617	SAV2537	SAHV_2521	SATW20_26580
+1884	glcB	SAR2618	SAV2538	SAHV_2522	SATW20_26590
+415	cidC	SAR2619	SAV2539	SAHV_2523	SATW20_26600
+2324	cidB	SAR2620	SAV2540	SAHV_2524	SATW20_26610
+1643	cidA	SAR2621	SAV2541	SAHV_2525	SATW20_26620
+1607	cidR	SAR2622	SAV2542	SAHV_2526	SATW20_26630
+1948	x	SAR2623	SAV2543	SAHV_2527	SATW20_26640
+335	amiD2	SAR2624	SAV2544	SAHV_2528	SATW20_26650
+1485	mvaA	SAR2625	SAV2545	SAHV_2529	SATW20_26670
+2522	mvaS	SAR2626	SAV2546	SAHV_2530	SATW20_26680
+851	adaB	SAR2627	SAV2547	SAHV_2531	SATW20_26690
+241	clpL	SAR2628	SAV2548	SAHV_2532	SATW20_26700
+3587	x	SAR2629	SAV2549	SAHV_2533	SATW20_26710
+913	feoB	SAR2630	SAV2550	SAHV_2534	SATW20_26720
+2429	feoA	SAR2631	SAV2551	SAHV_2535	SATW20_26730
+1035	ydfJ	SAR2632	SAV2552	SAHV_2536	SATW20_26740
+2284	x	SAR2633	SAV2553	SAHV_2537	SATW20_26750
+732	pruA	SAR2634	SAV2554	SAHV_2538	SATW20_26760
+2376	lacA-1	SAR2635	SAV2555	SAHV_2539	SATW20_26770
+3002	cap1B	SAR2636	SAV2556	SAHV_2540	SATW20_26780
+1239	copA	SAR2637	SAV2557	SAHV_2541	SATW20_26790
+1031	copZ	SAR2639	SAV2558	SAHV_2542	SATW20_26800
+236	ldhD	SAR2640	SAV2559	SAHV_2543	SATW20_26810
+221	ywfG	SAR2641	SAV2560	SAHV_2544	SATW20_26820
+1832	crtN	SAR2642	SAV2561	SAHV_2545	SATW20_26830
+3163	crtQ	SAR2645	SAV2563	SAHV_2547	SATW20_26850
+546	crtI	SAR2646	SAV2564	SAHV_2548	SATW20_26860
+988	crtO	SAR2647	SAV2565	SAHV_2549	SATW20_26870
+2391	oatA	SAR2649	SAV2567	SAHV_2551	SATW20_26890
+1008	isaA	SAR2650	SAV2569	SAHV_2553	SATW20_26900
+1814	pfoS/R	SAR2651	SAV2570	SAHV_2554	SATW20_26910
+597	acrA	SAR2652	SAV2571	SAHV_2555	SATW20_26920
+1582	icaC	SAR2653	SAV2572	SAHV_2556	SATW20_26930
+3497	lip	SAR2654	SAV2573	SAHV_2557	SATW20_26940
+1912	x	SAR2655	SAV2575	SAHV_2559	SATW20_26950
+1878	nrmA	SAR2656	SAV2576	SAHV_2560	SATW20_26960
+74	x	SAR2657	SAV2577	SAHV_2561	SATW20_26970
+2889	acrR	SAR2658	SAV2578	SAHV_2562	SATW20_26980
+658	x	SAR2659	SAV2579	SAHV_2563	SATW20_26990
+1445	hisI	SAR2660	SAV2580	SAHV_2564	SATW20_27000
+298	hisF	SAR2661	SAV2581	SAHV_2565	x
+2100	cobW	SAR2662	SAV2582	SAHV_2566	SATW20_27030
+1214	feoB	SAR2663	SAV2583	SAHV_2567	SATW20_27040
+1262	x	SAR2664	SAV2584	SAHV_2568	SATW20_27050
+771	esaC	SAR2665	SAV2585	SAHV_2569	SATW20_27260
+2167	x	SAR2666	SAV2586	SAHV_2570	SATW20_27270
+3451	x	SAR2667	SAV2587	SAHV_2571	SATW20_27280
+456	tkt	SAR2668	SAV2588	SAHV_2572	SATW20_27290
+3247	pyrD	SAR2669	SAV2589	SAHV_2573	SATW20_27300
+5108	x	SAR2670	SAV2590	SAHV_2574	SATW20_27310
+685	x	SAR2671	SAV2591	SAHV_2575	SATW20_27320
+1277	hisD	SAR2672	SAV2592	SAHV_2576	SATW20_27330
+1232	x	SAR2673	SAV2593	SAHV_2577	SATW20_27340
+2367	pepX	SAR2674	SAV2594	SAHV_2578	SATW20_27350
+414	panD	SAR2675	SAV2597	SAHV_2581	SATW20_27360
+3892	panC	SAR2676	SAV2598	SAHV_2582	SATW20_27370
+2518	panB	SAR2677	SAV2599	SAHV_2583	SATW20_27380
+3936	panE	SAR2678	SAV2600	SAHV_2584	SATW20_27390
+2814	budA_1	SAR2679	SAV2601	SAHV_2585	SATW20_27400
+3152	ldh2	SAR2680	SAV2602	SAHV_2586	SATW20_27410
+1363	x	SAR2681	SAV2603	SAHV_2587	SATW20_27420
+238	gabT	SAR2682	SAV2604	SAHV_2588	SATW20_27430
+3236	x	SAR2683	SAV2605	SAHV_2589	SATW20_27440
+3759	fda	SAR2684	SAV2606	SAHV_2590	SATW20_27450
+185	mqo2	SAR2685	SAV2607	SAHV_2591	SATW20_27460
+4155	x	SAR2686	SAV2608	SAHV_2592	x
+510	acsm5	SAR2687	SAV2609	SAHV_2593	SATW20_27470
+30	parE	SAR2688	SAV2610	SAHV_2594	SATW20_27480
+2894	x	SAR2689	SAV2611	SAHV_2595	SATW20_27490
+3125	betA	SAR2690	SAV2612	SAHV_2596	SATW20_27500
+573	betB	SAR2691	SAV2613	SAHV_2597	SATW20_27510
+1761	cudC	SAR2692	SAV2614	SAHV_2598	SATW20_27520
+3611	cudT	SAR2693	SAV2615	SAHV_2599	SATW20_27530
+2196	nrdG	SAR2694	SAV2616	SAHV_2600	SATW20_27540
+300	nrdD	SAR2695	SAV2617	SAHV_2601	SATW20_27550
+246	citM	SAR2696	SAV2618	SAHV_2602	SATW20_27560
+1226	cysG	SAR2697	SAV2619	SAHV_2603	SATW20_27570
+1141	cysJ	SAR2698	SAV2620	SAHV_2604	SATW20_27580
+1330	gpx2	SAR2699	SAV2621	SAHV_2605	SATW20_27590
+737	x	SAR2700	SAV2622	SAHV_2606	SATW20_27600
+267	x	SAR2701	SAV2623	SAHV_2607	SATW20_27610
+568	nsaS	SAR2702	SAV2624	SAHV_2608	SATW20_27620
+3837	nsaR	SAR2703	SAV2625	SAHV_2609	SATW20_27630
+5203	x	SAR2704	SAV2626	SAHV_2610	SATW20_27640
+2610:1	x	SAR2705	x	x	x
+10232	x	SAR2706a	x	x	x
+2364	slyA	SAR2707	SAV2628	SAHV_2612	SATW20_27660
+3993	estA	SAR2708	SAV2629	SAHV_2613	SATW20_27670
+176	clfB	SAR2709	SAV2630	SAHV_2614	SATW20_27680
+1469	arcR	SAR2710	SAV2631	SAHV_2615	SATW20_27690
+902	arcC	SAR2711	SAV2632	SAHV_2616	SATW20_27700
+2247	arcD	SAR2712	SAV2633	SAHV_2617	SATW20_27710
+723	arcB	SAR2713	SAV2634	SAHV_2618	SATW20_27720
+480	arcA	SAR2714	SAV2635	SAHV_2619	SATW20_27730
+1348	argR	SAR2715	SAV2636	SAHV_2620	SATW20_27740
+3137	aur	SAR2716	SAV2637	SAHV_2621	SATW20_27750
+3331	isaB	SAR2717	x	x	SATW20_27760
+3013	pcp	SAR2718	SAV2639	SAHV_2623	SATW20_27770
+289	x	SAR2719	SAV2640	SAHV_2624	SATW20_27780
+145	manP	SAR2720	SAV2641	SAHV_2625	SATW20_27790
+32	pmi	SAR2721	SAV2642	SAHV_2626	SATW20_27800
+3039	x	SAR2722	SAV2643	SAHV_2627	SATW20_27810
+4312	x	SAR2723	SAV2644	SAHV_2628	SATW20_27820
+3419	entB2	SAR2724	SAV2645	SAHV_2629	SATW20_27830
+1589	sasF	SAR2725	SAV2646	SAHV_2630	SATW20_27840
+3072	gtfB	SAR2726	SAV2647	SAHV_2631	SATW20_27850
+1273	gtfA	SAR2727	SAV2648	SAHV_2632	SATW20_27860
+307	secA2	SAR2728	SAV2649	SAHV_2633	SATW20_27870
+943	asp3	SAR2729	SAV2650	SAHV_2634	SATW20_27880
+1053	asp2	SAR2730	SAV2651	SAHV_2635	SATW20_27890
+2796	secY2	SAR2733	SAV2653	SAHV_2637	SATW20_27910
+989:1	sraP	SAR2734	SAV2654	SAHV_2638	SATW20_27920
+467	arlS	SAR2735	SAV2655	SAHV_2639	SATW20_27930
+474	x	SAR2738	SAV2657	SAHV_2641	SATW20_27950
+2811	x	SAR2739	SAV2658	SAHV_2642	SATW20_27960
+774	arlR	SAR2740	SAV2659	SAHV_2643	SATW20_27970
+264	msrA	SAR2741	SAV2660	SAHV_2644	SATW20_27980
+907	x	SAR2742	SAV2661	SAHV_2645	SATW20_27990
+2649	epsC	SAR2743	SAV2662	SAHV_2646	SATW20_28000
+1186	ywqD	SAR2744	SAV2663	SAHV_2647	SATW20_28010
+175	cap8A_2	SAR2745	SAV2664	SAHV_2648	SATW20_28020
+2312	icaR	SAR2746	SAV2665	SAHV_2649	SATW20_28030
+2447	pgaC	SAR2747	SAV2666	SAHV_2650	SATW20_28040
+5348	icaD	SAR2748	SAV2667	SAHV_2651	SATW20_28050
+488	icaB	SAR2749	SAV2668	SAHV_2652	SATW20_28060
+683	icaC	SAR2750	SAV2669	SAHV_2653	x
+515:1	lip	SAR2753	SAV2671	SAHV_2655	SATW20_28080
+3949	hisE	SAR2754	SAV2672	SAHV_2656	SATW20_28090
+1769	hisF	SAR2755	SAV2673	SAHV_2657	SATW20_28100
+1040	hisA	SAR2756	SAV2674	SAHV_2658	SATW20_28110
+2495	hisH	SAR2757	SAV2675	SAHV_2659	SATW20_28120
+826	hisB	SAR2758	SAV2676	SAHV_2660	SATW20_28130
+309	hisC	SAR2759	SAV2677	SAHV_2661	SATW20_28140
+1650	hisD	SAR2760	SAV2678	SAHV_2662	SATW20_28150
+2746	hisG	SAR2761	SAV2679	SAHV_2663	SATW20_28160
+49	hisZ	SAR2762	SAV2680	SAHV_2664	SATW20_28170
+2455	x	SAR2763	SAV2681	SAHV_2665	SATW20_28180
+4827	x	SAR2764	SAV2682	SAHV_2666	SATW20_28190
+5068	mtsC	SAR2765	SAV2683	SAHV_2667	SATW20_28200
+2549:1	mtsB	SAR2766	SAV2684	SAHV_2668	SATW20_28210
+1246	mtsA	SAR2767	SAV2685	SAHV_2669	SATW20_28220
+859	x	SAR2768	SAV2686	SAHV_2670	SATW20_28230
+4631	yceI	SAR2769	SAV2687	SAHV_2671	SATW20_28240
+1588	drp35	SAR2770	SAV2688	SAHV_2672	SATW20_28250
+2153	x	SAR2771	SAV2689	SAHV_2673	SATW20_28260
+1838	pcp	SAR2772	SAV2690	SAHV_2674	SATW20_28270
+3693	x	SAR2773	SAV2693	SAHV_2677	SATW20_28280
+5444	cna	SAR2774	x	x	x
+1803	x	SAR2775	SAV2695	SAHV_2679	SATW20_28300
+2401	rarD	SAR2776	SAV2696	SAHV_2680	SATW20_28310
+4142	x	SAR2777	SAV2697	SAHV_2681	SATW20_28320
+971	nixA	SAR2778	SAV2698	SAHV_2682	SATW20_28330
+2915	x	SAR2779	SAV2699	SAHV_2683	SATW20_28340
+3400	hdeD	SAR2780	SAV2700	SAHV_2684	SATW20_28350
+1254	vraD	SAR2781	SAV2701	SAHV_2685	SATW20_28360
+760	vraE	SAR2782	SAV2702	SAHV_2686	SATW20_28370
+3272:1	gidA	SAR2783	SAV2703	SAHV_2687	x
+3575	x	SAR2787	x	x	SATW20_28390
+4342	x	SAR2788	x	x	SATW20_28400
+6767	x	SAR2789	x	x	SATW20_28410
+4024	cspC	SAR2790	SAV2704	SAHV_2688	SATW20_28420
+705	x	SAR2791	SAV2705	SAHV_2689	SATW20_28430
+3222	x	SAR2792	SAV2706	SAHV_2690	SATW20_28440
+1021	x	SAR2793	SAV2707	SAHV_2691	SATW20_28450
+1097	noc	SAR2795	SAV2709	SAHV_2693	SATW20_28470
+2904	gidB	SAR2796	SAV2710	SAHV_2694	SATW20_28480
+61	gidA	SAR2797	SAV2711	SAHV_2695	SATW20_28490
+1602	trmE	SAR2798	SAV2712	SAHV_2696	SATW20_28500
+1625	rnpA	SAR2799	SAV2713	SAHV_2697	SATW20_28510
+2872	repB	x	SAV0028	SAHV_0028	x
+6839	repB	x	SAV0029	SAHV_0029	x
+3168	mvaS2	x	SAV0038	SAHV_0037	SATW20_00700
+4474	xylR	x	SAV0044	SAHV_0043	SATW20_00770
+4205	gyrB	x	SAV0045	SAHV_0044	x
+3128	gyrA	x	SAV0046	SAHV_0045	x
+3681	x	x	SAV0049	SAHV_0048	SATW20_00810
+10117	x	x	SAV0051	SAHV_0050	x
+3361	radC	x	SAV0057	SAHV_0056	x
+4931	tnp	x	SAV0066	SAHV_0065	x
+6003	tnp	x	SAV0067	SAHV_0066	x
+8676	kdpC_1	x	SAV0074	SAHV_0073	x
+1853	x	x	SAV0082	SAHV_0081	x
+1287	x	x	SAV0083	SAHV_0082	x
+1604	x	x	SAV0084	SAHV_0083	x
+5268	x	x	SAV0085	SAHV_0084	x
+2837:1	x	x	SAV0086	SAHV_0085	x
+7046	x	x	SAV0087	SAHV_0086	x
+3358	x	x	SAV0088	SAHV_0087	x
+4869	x	x	SAV0090	SAHV_0089	x
+6429	x	x	SAV0105	SAHV_0104	x
+578	x	x	SAV0107	SAHV_0106	x
+1577	norG	x	SAV0108	SAHV_0107	x
+10845	x	x	SAV0127	SAHV_0126	x
+4080	cap5H	x	SAV0156	SAHV_0155	x
+45	cap5I	x	SAV0157	SAHV_0156	x
+3609	capJ	x	SAV0158	SAHV_0157	x
+6110	cap5K	x	SAV0159	SAHV_0158	x
+2377	x	x	SAV0196	SAHV_0195	x
+5229	x	x	SAV0197	SAHV_0196	x
+5062	x	x	SAV0198	SAHV_0197	x
+6647	x	x	SAV0199	SAHV_0198	x
+7809	x	x	SAV0200	SAHV_0199	x
+3480	x	x	SAV0201	SAHV_0200	x
+4068	x	x	SAV0202	SAHV_0201	x
+9551	x	x	SAV0203	SAHV_0202	x
+6886	x	x	SAV0204	SAHV_0203	x
+54	x	x	SAV0210	SAHV_0209	x
+9331	uhpT	x	SAV0221	SAHV_0220	x
+5749	x	x	SAV0239	SAHV_0238	x
+1788	bglG	x	SAV0244	SAHV_0243	SATW20_02460
+6693:1	x	x	SAV0249	SAHV_0248	x
+9102	x	x	SAV0272	x	x
+3469	esaC	x	SAV0289	SAHV_0286	x
+2761	esxB	x	SAV0290	SAHV_0287	x
+3594	x	x	SAV0291	SAHV_0288	x
+2170	x	x	SAV0292	SAHV_0289	x
+1694	x	x	SAV0293	SAHV_0290	x
+1723	x	x	SAV0295	SAHV_0292	x
+4893	x	x	SAV0296	SAHV_0293	x
+5553	glpT	x	SAV0336	SAHV_0333	x
+4495	glpT	x	SAV0337	SAHV_0334	x
+2178	x	x	SAV0340	SAHV_0337	SATW20_04070
+94	x	x	SAV0368	SAHV_0365	SATW20_04360
+436	x	x	SAV0370	SAHV_0367	SATW20_04380
+2144	x	x	SAV0379	SAHV_0376	SATW20_04460
+345	int	x	SAV0392	SAHV_0389	SATW20_04580
+2559	x	x	SAV0393	SAHV_0390	x
+6934	capF	x	SAV0394	SAHV_0391	SATW20_04590
+8752	capG	x	SAV0395	SAHV_0392	x
+3785	thiI	x	SAV0397	SAHV_0394	SATW20_04610
+4551	tetM	x	SAV0398	SAHV_0395	SATW20_04620
+5450	cap8I	x	SAV0399	SAHV_0396	x
+3315	cap8J	x	SAV0400	SAHV_0397	SATW20_04650
+1938	cap8K	x	SAV0401	SAHV_0398	SATW20_04660
+2093	capL	x	SAV0402	SAHV_0399	SATW20_04670
+3799	capM	x	SAV0403	SAHV_0400	SATW20_04680
+11237	x	x	SAV0404	SAHV_0401	x
+8476	ardA	x	SAV0405	SAHV_0402	SATW20_04760
+3197	x	x	SAV0406	SAHV_0403	SATW20_04770
+1787	x	x	SAV0407	SAHV_0404	SATW20_04780
+9396	x	x	SAV0408	SAHV_0405	SATW20_04800
+2419	x	x	SAV0409	SAHV_0406	SATW20_04810
+4454	x	x	SAV0410	SAHV_0407	SATW20_04820
+13340	x	x	SAV0411	SAHV_0408	SATW20_04830
+12807	x	x	SAV0412	SAHV_0409	SATW20_04840
+11746	uvrD	x	SAV0413	SAHV_0410	SATW20_04850
+8993	recF_1	x	SAV0414	SAHV_0411	SATW20_04860
+3205	tnp	x	SAV0415	SAHV_0412	x
+2512	x	x	SAV0417	SAHV_0414	SATW20_04900
+3709	tnp	x	SAV0418	SAHV_0415	SATW20_04910
+11340	x	x	SAV0419	SAHV_0416	x
+437	set12	x	SAV0427	SAHV_0425	SATW20_05040
+6579	x	x	SAV0430	SAHV_0428	x
+9711	x	x	SAV0435	SAHV_0433	x
+1664	lpl3	x	SAV0438	SAHV_0436	x
+8835	lpl5	x	SAV0441	SAHV_0439	x
+978:2	lpl6	x	SAV0442	SAHV_0440	x
+516	x	x	SAV0446	SAHV_0444	SATW20_05150
+1760	sdrD	x	SAV0562	SAHV_0560	SATW20_06320
+11786	vraX	x	SAV0579	SAHV_0577	SATW20_06480
+3698	x	x	SAV0597	SAHV_0595	SATW20_06710
+114	recX	x	SAV0598	SAHV_0596	SATW20_06760
+1696	uhpT	x	SAV0619	SAHV_0617	SATW20_06960
+2634	mnhG	x	SAV0628	SAHV_0625	SATW20_07040
+1750:1	x	x	SAV0667	SAHV_0664	SATW20_07420
+3839	x	x	SAV0674	SAHV_0671	SATW20_07490
+333	prfB	x	SAV0754	SAHV_0751	x
+421	lgt	x	SAV0761	SAHV_0758	SATW20_08360
+5925	int-1	x	SAV0783	SAHV_0779	x
+9917	x	x	SAV0784	SAHV_0780	x
+7532	x	x	SAV0785	SAHV_0781	x
+13095	x	x	SAV0786	SAHV_0782	x
+1615	x	x	SAV0789	SAHV_0785	x
+3701	x	x	SAV0790	SAHV_0786	SATW20_08980
+5170	virE	x	SAV0791	SAHV_0787	SATW20_08990
+2741	x	x	SAV0792	SAHV_0788	SATW20_09000
+5746	lipA	x	SAV0793	SAHV_0789	SATW20_09010
+3802	x	x	SAV0796	SAHV_0792	SATW20_09040
+1493	pfkA	x	SAV0797	SAHV_0793	SATW20_09050
+13522	x	x	SAV0802	SAHV_0798	x
+2383	fhuD	x	SAV0803	SAHV_0799	SATW20_20060
+2201	x	x	SAV0804	SAHV_0800	x
+7498	x	x	SAV0806	SAHV_0802	x
+4098	x	x	SAV0807	SAHV_0803	SATW20_08570
+1366	graB	x	SAV0812	SAHV_0808	SATW20_08630
+2758	emp	x	SAV0814	SAHV_0810	x
+406	int	x	SAV0847	SAHV_0843	x
+7727	xis	x	SAV0848	SAHV_0844	x
+3610:1	x	x	SAV0849	SAHV_0845	SATW20_03270
+4863	x	x	SAV0850	SAHV_0846	x
+7782	x	x	SAV0851	SAHV_0847	x
+5080	x	x	SAV0852	SAHV_0848	x
+4031	x	x	SAV0854	SAHV_0849	x
+329:1	x	x	SAV0855	SAHV_0850	SATW20_03320
+10959	x	x	SAV0856	SAHV_0851	SATW20_03330
+13623	x	x	SAV0858	SAHV_0853	x
+3878	x	x	SAV0859	SAHV_0854	x
+1337	x	x	SAV0860	SAHV_0855	x
+781	x	x	SAV0862	SAHV_0857	x
+2184:1	ssb_4	x	SAV0864	SAHV_0859	x
+9926	x	x	SAV0865	SAHV_0860	x
+2662	x	x	SAV0866	SAHV_0861	x
+5314	x	x	SAV0867	SAHV_0862	x
+6278	x	x	SAV0868	SAHV_0863	x
+3239	x	x	SAV0869	SAHV_0864	x
+5666	x	x	SAV0870	SAHV_0865	x
+582	x	x	SAV0871	SAHV_0866	x
+3066:1	x	x	SAV0872	SAHV_0867	x
+7270	x	x	SAV0878	SAHV_0873	x
+2251	x	x	SAV0879	SAHV_0874	SATW20_03550
+3615	x	x	SAV0880	SAHV_0875	SATW20_03560
+10344	x	x	SAV0882	SAHV_0877	x
+4618	x	x	SAV0884	SAHV_0879	x
+1054	x	x	SAV0885	SAHV_0880	x
+1435	x	x	SAV0886	SAHV_0881	x
+226	x	x	SAV0887	SAHV_0882	x
+1537	x	x	SAV0888	SAHV_0883	x
+1125:1	x	x	SAV0889	SAHV_0884	x
+4879:1	x	x	SAV0890	SAHV_0885	x
+6465	x	x	SAV0891	SAHV_0886	x
+367	x	x	SAV0892	SAHV_0887	x
+5345	x	x	SAV0893	SAHV_0888	x
+2232	x	x	SAV0894	SAHV_0889	x
+3445:1	x	x	SAV0895	SAHV_0890	x
+464	x	x	SAV0896	SAHV_0891	x
+3831	x	x	SAV0897	SAHV_0892	x
+1355:1	x	x	SAV0898	SAHV_0893	x
+1861:1	x	x	SAV0899	SAHV_0894	x
+2081	x	x	SAV0900	SAHV_0895	x
+903:1	x	x	SAV0901	SAHV_0896	x
+914:1	x	x	SAV0902	SAHV_0897	x
+884:1	x	x	SAV0903	SAHV_0898	SATW20_03780
+2515:1	x	x	SAV0904	SAHV_0899	SATW20_03790
+1421	x	x	SAV0905	SAHV_0900	SATW20_03800
+1552	x	x	SAV0906	SAHV_0901	SATW20_03810
+3916	x	x	SAV0907	SAHV_0902	x
+315	atl	x	SAV0909	SAHV_0904	x
+149	x	x	SAV0910	SAHV_0905	SATW20_03850
+614	x	x	SAV0911	SAHV_0906	SATW20_03860
+3941	geh	x	SAV0912	SAHV_0907	SATW20_03870
+890	lytA	x	SAV0913	SAHV_0908	SATW20_03880
+6288	x	x	SAV0914	SAHV_0909	x
+11672	x	x	SAV0916	SAHV_0911	x
+7968	x	x	SAV0917	SAHV_0912	x
+1368	oppA	x	SAV0991	SAHV_0986	SATW20_09890
+2504	oppB	x	SAV0994	SAHV_0989	SATW20_09920
+10256	x	x	SAV1020	x	x
+10084	x	x	SAV1031	SAHV_1024	x
+2028	x	x	SAV1050	SAHV_1043	SATW20_10470
+2535	x	x	SAV1078	SAHV_1070	x
+10847	graF	x	SAV1079	SAHV_1071	SATW20_10740
+8102	glpT	x	SAV1110	SAHV_1102	SATW20_11050
+7063	x	x	SAV1154	SAHV_1144	x
+1146	flr	x	SAV1156	SAHV_1146	SATW20_11480
+7182	x	x	SAV1160	SAHV_1150	SATW20_11520
+3915	x	x	SAV1161	SAHV_1151	SATW20_11540
+204	hly	x	SAV1163	SAHV_1153	SATW20_11550
+2304	rplR	x	SAV1164	SAHV_1154	x
+6643	x	x	SAV1311	SAHV_1300	SATW20_13050
+5869	x	x	SAV1313	SAHV_1302	SATW20_13070
+3265	x	x	SAV1314	SAHV_1303	SATW20_13170
+12468	x	x	SAV1316	SAHV_1305	SATW20_13190
+6360	x	x	SAV1318	SAHV_1307	x
+7042	x	x	SAV1319	SAHV_1308	x
+1463	x	x	SAV1322	SAHV_1311	SATW20_13240
+15151	rpmG	x	SAV1335	SAHV_1324	SATW20_13370
+701	trpD	x	SAV1369	SAHV_1357	SATW20_13690
+2995	x	x	SAV1376	SAHV_1364	x
+1990	bioW	x	SAV1377	SAHV_1365	SATW20_13760
+2277	x	x	SAV1416	SAHV_1404	x
+777	piuB	x	SAV1442	SAHV_1430	SATW20_14420
+12170	x	x	SAV1445	SAHV_1433	x
+293	x	x	SAV1467	SAHV_1455	x
+5719	x	x	SAV1477	SAHV_1465	x
+925	x	x	SAV1489	SAHV_1477	SATW20_14870
+2976	spcT	x	SAV1510	SAHV_1498	x
+599	ccpN	x	SAV1564	SAHV_1551	SATW20_15600
+2759	entA	x	SAV1601	SAHV_1588	SATW20_15960
+3255	entA	x	SAV1602	SAHV_1589	x
+191	rplA	x	SAV1603	SAHV_1590	x
+10577	x	x	SAV1624	SAHV_1611	SATW20_16190
+2587	lytH	x	SAV1632	SAHV_1619	SATW20_16260
+839	radC	x	SAV1660	SAHV_1647	x
+1452	harA	x	SAV1731	SAHV_1717	SATW20_17210
+4888	pheT2	x	SAV1742	SAHV_1728	SATW20_17320
+4393	x	x	SAV1755	SAHV_1741	x
+7541	x	x	SAV1756	SAHV_1742	x
+8322	mrp	x	SAV1757	SAHV_1743	x
+3475	x	x	SAV1778	SAHV_1763	SATW20_17680
+3293	x	x	SAV1780	SAHV_1765	SATW20_17700
+268:1	tnp	x	SAV1787	SAHV_1185	x
+9403	x	x	SAV1792	SAHV_1777	x
+243	tnp	x	SAV1805	SAHV_1790	x
+584	tnp	x	SAV1806	SAHV_1791	x
+8408	hsdS	x	SAV1807	SAHV_1792	x
+1465:1	splF	x	SAV1809	SAHV_1795	SATW20_18060
+1915	splB	x	SAV1812	SAHV_1797	SATW20_18100
+2681	splA	x	SAV1813	SAHV_1798	SATW20_18110
+9294	x	x	SAV1814	SAHV_1799	x
+405	x	x	SAV1815	SAHV_1800	x
+1398	bsaG	x	SAV1816	SAHV_1801	x
+248	x	x	SAV1817	SAHV_1802	x
+937	x	x	SAV1818	SAHV_1803	x
+1367:1	lukD	x	SAV1819	SAHV_1804	SATW20_18210
+2339	lukE	x	SAV1820	SAHV_1805	SATW20_18220
+125	x	x	SAV1821	SAHV_1806	x
+3463	x	x	SAV1822	SAHV_1807	x
+3686	x	x	SAV1823	SAHV_1808	x
+3817	entB	x	SAV1827	SAHV_1812	x
+10417	x	x	SAV1853	SAHV_1838	x
+2891	x	x	SAV1876	SAHV_1861	x
+268:2	tnp	x	SAV1923	SAHV_1908	x
+8786	x	x	SAV1935	SAHV_1920	SATW20_19290
+4028	map-W	x	SAV1937	SAHV_1922	x
+9373	x	x	SAV1939	SAHV_1924	x
+6079	x	x	SAV1949	SAHV_1935	x
+14868	ssp	x	SAV1952	SAHV_1938	x
+3242	gpmA1	x	SAV1959	SAHV_1945	SATW20_19520
+6635	x	x	SAV1971	SAHV_1957	x
+759:2	x	x	SAV1972	SAHV_1958	x
+5902:3	x	x	SAV1973	SAHV_1959	x
+2305	dut	x	SAV1974	SAHV_1960	x
+6439	x	x	SAV1975	SAHV_1961	x
+4989	x	x	SAV1976	SAHV_1962	x
+85	x	x	SAV1977	SAHV_1963	x
+862:1	rusA	x	SAV1980	SAHV_1966	SATW20_19760
+349	dnaD2	x	SAV1982	SAHV_1968	SATW20_19780
+1693	x	x	SAV1988	SAHV_1974	SATW20_19840
+1612	x	x	SAV1989	SAHV_1975	x
+15042	x	x	SAV1990	SAHV_1976	x
+6183	mvaA	x	SAV1995	SAHV_1981	x
+153	x	x	SAV1996	SAHV_1982	x
+1109	x	x	SAV1997	SAHV_1983	x
+2123	x	x	SAV1998	SAHV_1984	x
+5260	x	x	SAV1999	SAHV_1985	x
+5	sph	x	SAV2003	SAHV_1989	x
+4873	sel	x	SAV2008	SAHV_1994	x
+2801	entC2	x	SAV2009	SAHV_1995	x
+7535	x	x	SAV2010	SAHV_1996	x
+1500	tst	x	SAV2011	SAHV_1997	x
+4314	x	x	SAV2024	SAHV_0784	SATW20_08960
+3119	dltA	x	SAV2025	SAHV_2010	x
+15519	dltB	x	SAV2026	SAHV_2011	x
+5493	x	x	SAV2027	SAHV_2012	x
+2442	int	x	SAV2028	SAHV_2013	x
+563	agrB	x	SAV2036	SAHV_2021	x
+5768	agrD	x	SAV2037	SAHV_2022	x
+533	ilvH	x	SAV2055	SAHV_2040	SATW20_21950
+55	tnp	x	SAV2080	SAHV_2363	SATW20_18540
+1913	csoR	x	SAV2087	SAHV_2072	SATW20_22260
+4672	x	x	SAV2148	SAHV_2132	x
+11072	x	x	SAV2151	SAHV_2135	x
+1699:1	fmtB	x	SAV2160	SAHV_2144	SATW20_22950
+1620	lmrB2	x	SAV2166	SAHV_2150	SATW20_23020
+4145	x	x	SAV2168	SAHV_2152	x
+6153	x	x	SAV2169	SAHV_2153	x
+3676	x	x	SAV2198	SAHV_2182	x
+530	x	x	SAV2199	SAHV_2183	x
+9662	x	x	SAV2208	SAHV_2192	x
+652	x	x	SAV2209	SAHV_2193	x
+5333	x	x	SAV2210	SAHV_2194	x
+3768	x	x	SAV2211	SAHV_2195	x
+7249	truncated-SA	x	SAV2212	SAHV_2196	x
+7494	x	x	SAV2213	SAHV_2197	x
+12146	x	x	SAV2214	SAHV_2198	x
+6313	truncated-SA	x	SAV2215	SAHV_2199	x
+4633	x	x	SAV2216	SAHV_2200	x
+7086	x	x	SAV2259	SAHV_2243	x
+6	yocS	x	SAV2321	SAHV_2305	SATW20_24530
+1953	hipO2	x	SAV2329	SAHV_2313	SATW20_24610
+5473	x	x	SAV2343	SAHV_2327	x
+2125	x	x	SAV2390	SAHV_2374	SATW20_25200
+5721	x	x	SAV2404	SAHV_2388	SATW20_25340
+4302	rbgA	x	SAV2456	SAHV_2440	SATW20_25850
+4912	stbD	x	SAV2457	SAHV_2441	SATW20_25860
+2158	x	x	SAV2482	SAHV_2466	x
+1712	x	x	SAV2483	SAHV_2467	x
+1317	x	x	SAV2484	SAHV_2468	x
+5648	x	x	SAV2489	SAHV_2473	x
+4120	x	x	SAV2494	SAHV_2478	x
+797	x	x	SAV2495	SAHV_2479	SATW20_26150
+46:1	sasG	x	SAV2496	SAHV_2481	x
+2484	sasG	x	SAV2497	x	x
+3311	sarT	x	SAV2498	SAHV_2482	SATW20_26180
+4696	sarU	x	SAV2499	SAHV_2483	SATW20_26190
+571:1	fnbA_1	x	SAV2502	SAHV_2486	SATW20_26210
+1842	yfkO	x	SAV2523	SAHV_2507	SATW20_26440
+631	x	x	SAV2526	SAHV_2510	SATW20_26470
+1943	x	x	SAV2527	SAHV_2511	SATW20_26480
+294	crtM	x	SAV2562	SAHV_2546	SATW20_26840
+89	x	x	SAV2568	SAHV_2552	x
+14280	x	x	SAV2574	SAHV_2558	x
+2369	sasK	x	SAV2595	SAHV_2579	x
+2840	x	x	SAV2596	SAHV_2580	x
+1997	phoB	x	SAV2627	SAHV_2611	SATW20_27650
+3155	isaB	x	SAV2638	SAHV_2622	x
+669	asp1	x	SAV2652	SAHV_2636	SATW20_27900
+2236:1	x	x	SAV2656	SAHV_2640	x
+1951	x	x	SAV2691	SAHV_2675	x
+1242	padR	x	SAV2692	SAHV_2676	x
+15183	x	x	SAV2694	SAHV_2678	x
+9741	rpmH	x	SAV2714	SAHV_2698	SATW20_28520
+242	rep	x	SAVP001	x	SATW20_p1110
+5695	x	x	SAVP002	x	x
+11721	traA	x	SAVP003	x	x
+12283	x	x	SAVP004	x	x
+12693	x	x	SAVP005	x	x
+8869	x	x	SAVP006	x	x
+2464	x	x	SAVP008	x	x
+10986	x	x	SAVP010	x	x
+10247	truncated-res	x	SAVP013	x	x
+11709	x	x	SAVP015	x	x
+11499	x	x	SAVP016	x	x
+9617	res	x	SAVP017	x	x
+5665	x	x	SAVP018	x	x
+5899	x	x	SAVP019	x	x
+5583	x	x	SAVP021	x	x
+5387	x	x	SAVP022	x	x
+1440	truncated-tnp	x	SAVP025	x	SATW20_20720
+3316	aacA-aphD	x	SAVP026	x	SATW20_20700
+11693	x	x	SAVP027	x	SATW20_20710
+11230	truncated-res	x	SAVP030	x	x
+9111	qacR	x	SAVP031	x	SATW20_p1150
+2842	qacA	x	SAVP032	x	SATW20_p1140
+15163	x	x	SAVP033	x	SATW20_p1130
+3030	x	x	SAVP034	x	SATW20_p1120
+1090	x	x	x	x	SATW20_00260
+4802	x	x	x	x	SATW20_00270
+9992	x	x	x	x	SATW20_00300
+5106	x	x	x	x	SATW20_00310
+4542	x	x	x	x	SATW20_00320
+5842	x	x	x	x	SATW20_00350
+7361	x	x	x	x	SATW20_00370
+5894	x	x	x	x	SATW20_00450
+6195	x	x	x	x	SATW20_00460
+2552	x	x	x	x	SATW20_00470
+14732	trpC	x	x	x	SATW20_00480
+11143	x	x	x	x	SATW20_00490
+9048	x	x	x	x	SATW20_00500
+15526	x	x	x	x	SATW20_00510
+9543	x	x	x	x	SATW20_00520
+4159	x	x	x	x	SATW20_00530
+2651	gor	x	x	x	SATW20_00550
+2332	merR	x	x	x	SATW20_00560
+13160	x	x	x	x	SATW20_00570
+2494	merT	x	x	x	SATW20_00590
+3023	x	x	x	x	SATW20_00620
+1554	x	x	x	x	SATW20_00631
+12105	x	x	x	x	SATW20_00640
+3454	tet	x	x	x	SATW20_00660
+1966	pre	x	x	x	SATW20_00670
+8983	cadD	x	x	x	SATW20_00820
+2127	x	x	x	x	SATW20_00870
+13049	x	x	x	x	SATW20_00880
+7433	x	x	x	x	SATW20_00890
+4116	rplI	x	x	x	SATW20_00900
+6524	x	x	x	x	SATW20_00901
+10046	yycF	x	x	x	SATW20_00930
+1521	yycG	x	x	x	SATW20_00940
+14453	yycH	x	x	x	SATW20_00950
+6540	x	x	x	x	SATW20_00960
+3814	x	x	x	x	SATW20_00970
+1882	ruvA	x	x	x	SATW20_03010
+1523	x	x	x	x	SATW20_03020
+2225	obgE	x	x	x	SATW20_03030
+1426	rpmA	x	x	x	SATW20_03040
+6937	x	x	x	x	SATW20_03280
+2652	x	x	x	x	SATW20_03290
+6890	x	x	x	x	SATW20_03300
+4414	x	x	x	x	SATW20_03310
+2445	x	x	x	x	SATW20_03340
+13734	x	x	x	x	SATW20_03360
+2390	x	x	x	x	SATW20_03370
+1315	recT	x	x	x	SATW20_03400
+691	x	x	x	x	SATW20_03490
+2550	x	x	x	x	SATW20_03500
+9987	x	x	x	x	SATW20_03540
+5521	x	x	x	x	SATW20_03570
+12339	x	x	x	x	SATW20_03580
+1210	x	x	x	x	SATW20_03600
+1889	x	x	x	x	SATW20_03610
+3769	x	x	x	x	SATW20_03620
+5461	x	x	x	x	SATW20_03630
+4141	x	x	x	x	SATW20_03640
+4152	x	x	x	x	SATW20_03660
+1786	x	x	x	x	SATW20_03670
+4251	x	x	x	x	SATW20_03680
+6406	x	x	x	x	SATW20_03690
+9761	x	x	x	x	SATW20_03700
+4033	x	x	x	x	SATW20_03710
+1728	x	x	x	x	SATW20_03720
+2361	x	x	x	x	SATW20_03730
+7210	x	x	x	x	SATW20_03740
+2578	x	x	x	x	SATW20_03750
+1836	x	x	x	x	SATW20_03760
+2438	x	x	x	x	SATW20_03770
+8740	x	x	x	x	SATW20_03820
+4202	x	x	x	x	SATW20_03830
+1404	amiD	x	x	x	SATW20_03840
+10713	dnaI	x	x	x	SATW20_04300
+3877	x	x	x	x	SATW20_04700
+5180	dfrK	x	x	x	SATW20_04710
+9239	capN	x	x	x	SATW20_04720
+12599	capO	x	x	x	SATW20_04730
+7305	capP	x	x	x	SATW20_04740
+14655	x	x	x	x	SATW20_04790
+6243	set21	x	x	x	SATW20_05020
+5655	x	x	x	x	SATW20_05070
+4965	set15	x	x	x	SATW20_05100
+3919	x	x	x	x	SATW20_05890
+4948	x	x	x	x	SATW20_06660
+3124	x	x	x	x	SATW20_06670
+522	x	x	x	x	SATW20_06680
+1720	x	x	x	x	SATW20_06690
+1691	x	x	x	x	SATW20_06730
+2648	x	x	x	x	SATW20_06740
+1303	vwb	x	x	x	SATW20_08650
+4950	int	x	x	x	SATW20_08890
+6316	sek	x	x	x	SATW20_08900
+4322	sei	x	x	x	SATW20_08910
+3373	x	x	x	x	SATW20_08920
+2436	x	x	x	x	SATW20_08930
+5021	x	x	x	x	SATW20_08970
+10926	sufB	x	x	x	SATW20_09090
+2541	ilvH	x	x	x	SATW20_09100
+12152:1	sufS	x	x	x	SATW20_09110
+291	x	x	x	x	SATW20_10320
+6311	x	x	x	x	SATW20_10350
+919	x	x	x	x	SATW20_11530
+4308	rplX	x	x	x	SATW20_11670
+5162	x	x	x	x	SATW20_11680
+3198	x	x	x	x	SATW20_13160
+13029	lpl6nm	x	x	x	SATW20_14840
+7197	arsC	x	x	x	SATW20_17640
+3383	x	x	x	x	SATW20_17930
+3026	x	x	x	x	SATW20_17940
+6973	fruB	x	x	x	SATW20_17950
+4908	fruA	x	x	x	SATW20_17960
+5747	hsdS	x	x	x	SATW20_18040
+4669	ear	x	x	x	SATW20_18120
+5022	epiG	x	x	x	SATW20_18130
+4275	epiE	x	x	x	SATW20_18140
+351	mutF	x	x	x	SATW20_18150
+2898	epiP	x	x	x	SATW20_18160
+641	epiD	x	x	x	SATW20_18170
+7720	epiC	x	x	x	SATW20_18180
+5399	epiB	x	x	x	SATW20_18190
+4206	x	x	x	x	SATW20_18230
+9584	murB	x	x	x	SATW20_18470
+14466	uvrB	x	x	x	SATW20_18700
+12266	x	x	x	x	SATW20_19440
+8788	x	x	x	x	SATW20_19610
+2346	x	x	x	x	SATW20_19680
+8628	x	x	x	x	SATW20_19690
+13405	x	x	x	x	SATW20_19700
+182	x	x	x	x	SATW20_19710
+358	yopX	x	x	x	SATW20_19720
+2987	x	x	x	x	SATW20_19850
+13183	x	x	x	x	SATW20_19860
+3868	x	x	x	x	SATW20_20080
+5548	x	x	x	x	SATW20_20090
+10569	x	x	x	x	SATW20_20290
+7775	x	x	x	x	SATW20_20300
+9810	rusA_1	x	x	x	SATW20_20320
+6213	x	x	x	x	SATW20_20330
+11784	x	x	x	x	SATW20_20340
+11194	x	x	x	x	SATW20_20350
+5645	x	x	x	x	SATW20_20360
+11191	x	x	x	x	SATW20_20370
+6485	x	x	x	x	SATW20_20380
+6821	x	x	x	x	SATW20_20410
+9496	nrdI	x	x	x	SATW20_20420
+11740	x	x	x	x	SATW20_20430
+4937	x	x	x	x	SATW20_20440
+4717	x	x	x	x	SATW20_20450
+10271	x	x	x	x	SATW20_20460
+10915	x	x	x	x	SATW20_20470
+10557	x	x	x	x	SATW20_20480
+14578	x	x	x	x	SATW20_20490
+1428	dcm	x	x	x	SATW20_20500
+10137	x	x	x	x	SATW20_20510
+9297	x	x	x	x	SATW20_20520
+7867	x	x	x	x	SATW20_20530
+10162	x	x	x	x	SATW20_20540
+10382	x	x	x	x	SATW20_20550
+4550	x	x	x	x	SATW20_20560
+8026	x	x	x	x	SATW20_20570
+14309	x	x	x	x	SATW20_20580
+5115	x	x	x	x	SATW20_20590
+6666	x	x	x	x	SATW20_20600
+3304	x	x	x	x	SATW20_20610
+5620	x	x	x	x	SATW20_20620
+11108	x	x	x	x	SATW20_20630
+4687	x	x	x	x	SATW20_20670
+8306	aphA	x	x	x	SATW20_20760
+8325	aadK	x	x	x	SATW20_20780
+5656	x	x	x	x	SATW20_20790
+13698	x	x	x	x	SATW20_20800
+118	x	x	x	x	SATW20_20810
+4452	x	x	x	x	SATW20_20820
+10251	x	x	x	x	SATW20_20830
+12060	x	x	x	x	SATW20_20840
+11929	x	x	x	x	SATW20_20850
+7101	x	x	x	x	SATW20_20870
+6333	x	x	x	x	SATW20_20880
+7488	x	x	x	x	SATW20_20890
+3689	x	x	x	x	SATW20_20900
+11610	x	x	x	x	SATW20_20910
+5181	x	x	x	x	SATW20_20920
+9016	x	x	x	x	SATW20_20930
+1970	x	x	x	x	SATW20_20940
+12062	x	x	x	x	SATW20_20950
+12812	x	x	x	x	SATW20_20980
+13009	x	x	x	x	SATW20_20990
+511	x	x	x	x	SATW20_21000
+13709	x	x	x	x	SATW20_21010
+10089	x	x	x	x	SATW20_21020
+13068	x	x	x	x	SATW20_21050
+5944	x	x	x	x	SATW20_21060
+9824	x	x	x	x	SATW20_21070
+5814	x	x	x	x	SATW20_21080
+11098	x	x	x	x	SATW20_21090
+5547	x	x	x	x	SATW20_21100
+12522	x	x	x	x	SATW20_21110
+2172	x	x	x	x	SATW20_21120
+6851	x	x	x	x	SATW20_21130
+2639	x	x	x	x	SATW20_21140
+5679	x	x	x	x	SATW20_21160
+4923	x	x	x	x	SATW20_21170
+9691	x	x	x	x	SATW20_21180
+8152	x	x	x	x	SATW20_21190
+581	x	x	x	x	SATW20_21200
+7309	x	x	x	x	SATW20_21210
+4489	x	x	x	x	SATW20_21220
+10796	x	x	x	x	SATW20_21230
+15440	x	x	x	x	SATW20_21240
+7813	x	x	x	x	SATW20_21250
+6709	x	x	x	x	SATW20_21260
+6571	x	x	x	x	SATW20_21270
+9345	x	x	x	x	SATW20_21280
+6725	x	x	x	x	SATW20_21290
+6658	x	x	x	x	SATW20_21300
+10058	x	x	x	x	SATW20_21310
+6474	x	x	x	x	SATW20_21330
+13520	x	x	x	x	SATW20_21340
+2784	x	x	x	x	SATW20_21380
+8030	x	x	x	x	SATW20_21390
+7415	x	x	x	x	SATW20_21400
+10997	x	x	x	x	SATW20_21410
+6637	x	x	x	x	SATW20_21420
+5517	x	x	x	x	SATW20_21430
+5731	x	x	x	x	SATW20_21450
+9455	x	x	x	x	SATW20_21460
+11941	x	x	x	x	SATW20_21461
+10818	x	x	x	x	SATW20_21480
+8333	x	x	x	x	SATW20_21490
+7354	x	x	x	x	SATW20_21500
+11949	x	x	x	x	SATW20_21510
+7889	x	x	x	x	SATW20_21520
+11371	x	x	x	x	SATW20_21530
+12483	x	x	x	x	SATW20_21540
+11317	x	x	x	x	SATW20_21550
+11806	x	x	x	x	SATW20_21560
+10059	x	x	x	x	SATW20_21570
+6755	x	x	x	x	SATW20_21580
+12649	x	x	x	x	SATW20_21590
+10399	x	x	x	x	SATW20_21600
+6925	x	x	x	x	SATW20_21610
+5566	x	x	x	x	SATW20_21620
+7226	x	x	x	x	SATW20_21630
+5792	x	x	x	x	SATW20_21640
+6242	x	x	x	x	SATW20_21650
+4243	x	x	x	x	SATW20_21660
+9197	x	x	x	x	SATW20_21670
+5008	x	x	x	x	SATW20_21680
+3734	x	x	x	x	SATW20_21690
+12202	x	x	x	x	SATW20_21700
+4700	x	x	x	x	SATW20_21710
+9249	x	x	x	x	SATW20_21720
+3966	x	x	x	x	SATW20_21730
+5601	x	x	x	x	SATW20_21740
+13201	x	x	x	x	SATW20_21750
+11046	x	x	x	x	SATW20_21760
+10313	x	x	x	x	SATW20_21770
+3564	x	x	x	x	SATW20_21780
+12545	x	x	x	x	SATW20_21790
+9255	x	x	x	x	SATW20_21800
+12028	x	x	x	x	SATW20_21810
+9278	x	x	x	x	SATW20_21820
+13481	x	x	x	x	SATW20_21830
+374	x	x	x	x	SATW20_21840
+1681	x	x	x	x	SATW20_21850
+1339	res	x	x	x	SATW20_22860
+4926	prfC	x	x	x	SATW20_22870
+2481	purL	x	x	x	SATW20_23460
+4468	clpA	x	x	x	SATW20_23470
+3552	purM	x	x	x	SATW20_23480
+11574	x	x	x	x	SATW20_23920
+320	x	x	x	x	SATW20_25990
+2723	yvmA	x	x	x	SATW20_26330
+2862	yvnA	x	x	x	SATW20_26340
+3377	x	x	x	x	SATW20_26660
+4891	cna	x	x	x	SATW20_28290
+1879	tnp	x	x	x	SATW20_28460
+8822	merB	x	x	x	SATW20_p1010
+3750	x	x	x	x	SATW20_p1040
+4234	x	x	x	x	SATW20_p1050
+1391	cadC	x	x	x	SATW20_p1080
+7414	x	x	x	x	SATW20_p1090
+3481	x	x	x	x	SATW20_p1100
+10027	x	x	x	x	SATW20_p1160
+5680:1	bin3	x	x	x	SATW20_p1170
+7627	cadC	x	x	x	SATW20_p1210
+3844	x	x	x	x	SATW20_p1260
+947	x	x	x	x	SATW20_p1270
+1136	merA	x	x	x	SATW20_p1290
+1560	x	x	x	x	SATW20_p2020
diff --git a/datasets/sau461/input/drug_targets.txt b/datasets/sau461/input/drug_targets.txt
new file mode 100644
index 0000000..d77f3f6
--- /dev/null
+++ b/datasets/sau461/input/drug_targets.txt
@@ -0,0 +1,73 @@
+Meticillin	x
+Penicillin	x
+Oxacillin	x
+Rifampicin	SAR0547:463:550
+Erythromycin	x
+Clindamycin		x
+Gentamicin		x
+#Ciprofloxacin	SAR1367:80:84;SAR0006:90:94
+Ciprofloxacin	SAR1367:68:107;SAR0006:64:103
+Vancomycin	x
+Vancomycin_2	x
+Trimethoprim	x
+Co-trimoxazole	x
+Tetracycline	x
+Fusidic_acid 	SAR0552
+Bacitracin	x
+
+#is located between residues 68 and
+#107 and between residues 64 and 103 on the GyrA (24) and
+#GrlA (6) sequences, respectively
+
+Tetracycline:tetX
+Ciprofloxacin:mfpA
+Erythromycin:rna23
+aaCa-aphd:SAA6008_01993
+genta:16SrRNA
+tetK:SATW20_00660
+tetR:SAR2464
+tetM:SAHV_0395
+tet38:SAR0139
+ermA1:SAR0050
+ermA2:SAR1735
+gtfA:SAR2727
+blaR1:SAR1830
+blaZ:SAR1831
+fusA:SAR0552
+rpsG:SAR0551
+rpsS:SAR2331
+rpsN:SAR1346
+dfrA:SAR1439
+rpsH:SAR2321
+rpsC:SAR2329
+thyA:SAR1440
+folC:SAR1742
+folP:SAR0515
+parC:SAR1367
+gyrA:SAR0006
+parE:SAR1366
+norA:SAR0748
+gyrB:SAR0005
+rpob:SAR0547
+rpoc:SAR0548
+pbpA:SAR1157
+pbp2:SAR1461
+pbp3:SAR1629
+mecA:SAR0039
+rplV:SAR2330
+rpsL:SAR0550
+rplD:SAR2334
+SA0264-Penicillinamidase
+2616:cadD-plasmid
+3247:binL-plasmid
+3695:cadX-plasmid
+3028:blaZ-plasmid
+3975:qacA-plasmid
+2983:tetM
+183:tet38
+1132:tetR
+3873:tetK
+2449:dfrK
+3374:blaR1-plasmid
+;SA2441;rpsN;rpsS;3247;2616;3695;hysA;3028;ermA;3975;2983;2449;plsX;SA0614;3374;SA1702;agrC;
+
diff --git a/datasets/sau461/input/gene_profiles.txt b/datasets/sau461/input/gene_profiles.txt
new file mode 100644
index 0000000..29b25cd
--- /dev/null
+++ b/datasets/sau461/input/gene_profiles.txt
@@ -0,0 +1,13318 @@
+M0881 aureus_IS-K aureus_IS-250 aureus_MSHR1132 aureus_21252 aureus_CIG290 aureus_21202 aureus_PS187 M1311 CA-347 A9635 M0877 aureus_CIG1524 aureus_21200 aureus_21194 S130 aureus_ST398 aureus_M140olga S1 S123 08BA02176 S100 aureus_21331 S94 aureus_71193 aureus_DR10 aureus_C427 aureus_21342 aureus_C160 aureus_552053 aureus_58-424 aureus_65-1322 aureus_C101 aureus_M1015 aureus_M809 aureus_M876 aureus_M899 aureus_68-397 aureus_E1410 M2 aureus_WBG10049 aureus_122051 aureus_TCH60 aureus_LCT-S [...]
+B458_01522	6784	x	L G:337,341
+B460_01627	14659	x	L G:433
+B460_01851	11564	x	L G:110,167,433
+B461_00024	5291	x	L G:271
+B461_00143	9424	x	L G:176,271
+B461_00515	8691	x	L G:79,89,189,271
+B461_00775	4936	x	L G:271
+B461_01401	3543	x	L G:110,122,123,126,131,144,146_160,173,174,199,211,236,241,245,248,271,368,370
+B461_01728	12625	x	L G:271
+B461_01953	15923	x	L G:271
+B461_01956	8653	x	L G:242_244,271
+B461_01958	7478	x	L G:27,47,51,228,271
+B461_01970	2115	x	L G:4_7,64,109,134,229,271
+B461_01987	11743	x	L G:271
+B461_01988	8817	x	L G:49,271
+B461_01989	3677	x	L G:49,83,91,113,114,119,120,213,214,224,225,265,271,282,360,374,383,384,446,447,455
+B461_02519	13642	x	L G:271
+B461_02635	7386	x	L G:245,271
+B461_02730	8216	x	L G:271
+B462_00797	6603	x	L G:295
+B462_01068	3970	x	L G:116,226,236,246,295,377
+B462_01069	4385	x	L G:280,289,295,360
+B462_02235	6187	x	L G:275,295,391
+B463_01683	2049	x	L G:355,356,394
+B463_02350	12305	x	L G:394
+B463_02668	1904	x	L G:97,355,356,394
+B464_00952	38:39	x	L G:190
+B464_00983	5335	x	L G:190,191
+B464_01173	6649	x	L G:190,191
+B464_01174	13987	x	L G:190,191,440
+B464_02756	1482:4	x	L G:89,109,127,132,179,180,189_191
+B466_00459	1847	x	L G:11
+B466_00463	11523	x	L G:11,226
+B466_00479	12284	x	L G:11
+B466_01240	13537	x	L G:11
+B466_01765	7252	x	L G:11
+B466_01766	14639	x	L G:11
+B466_01767	3289	x	L G:11
+B466_01898	12517	x	L G:11
+B467_00032	3440	x	L G:0
+B467_00048	8622	x	L G:0
+B467_00050	15497	x	L G:0
+B467_00051	10606	x	L G:0
+B467_00063	7220	x	L G:0_2
+B467_00080	9784	x	L G:0
+B467_00081	12413	x	L G:0
+B467_00082	14256	x	L G:0
+B467_00083	7880	x	L G:0
+B467_00085	59	x	L G:0
+B467_00086	12179	x	L G:0
+B467_00087	8860	x	L G:0
+B467_00088	7966	x	L G:0
+B467_00089	4277	x	L G:0
+B467_00090	12801	x	L G:0
+B467_00092	15456	x	L G:0
+B467_00096	10931	x	L G:0
+B467_00098	9430	x	L G:0
+B467_00099	13426	x	L G:0
+B467_00100	14392	x	L G:0
+B467_00101	9378	x	L G:0
+B467_00103	15992	x	L G:0
+B467_00104	6199	x	L G:0
+B467_00105	9747	x	L G:0
+B467_00106	9982	x	L G:0
+B467_00110	15024	x	L G:0
+B467_00111	15608	x	L G:0
+B467_00112	15553	x	L G:0
+B467_00113	13799	x	L G:0
+B467_00115	8117	x	L G:0
+B467_00117	14861	x	L G:0
+B467_00118	14275	x	L G:0
+B467_00123	5046	x	L G:0
+B467_00126	11844	x	L G:0
+B467_00134	12464	x	L G:0
+B467_00142	5747	x	L G:0
+B467_00144	13565	x	L G:0
+B467_00145	12354	x	L G:0
+B467_00147	14801	x	L G:0
+B467_00148	8695	x	L G:0
+B467_00152	14694	x	L G:0
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+L800_03790	6544	x	L G:9,16,51,90_92,100,175,208,209,239,240,246,250,251,259,277_281,285,289,290,292,293,297,298,300,301,303_324,327_345,349,352,357,359,360,363,366,370,371,374,378,381,382,384,395,453,458
+L800_03805	10753	x	L G:122,123,240
+L800_03810	6972	x	L G:49,122,123,226,240
+L800_03820	3373	x	L G:49,240
+L800_03840	13819	x	L G:240
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+L800_03860	14368	x	L G:123,131,240
+L800_03870	8528	x	L G:6,7,240,361_363
+L800_03875	13662	x	L G:240,361_363
+L800_03880	9159	x	L G:240
+L800_03960	7830	x	L G:97,240
+L800_03970	14210	x	L G:240
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+L800_04015	6827	x	L G:28,49,122,123,131,226,240,271,454
+L800_04035	8798	x	L G:28,49,122,123,131,226,240,271,454
+L800_04040	11896	x	L G:28,49,122,123,131,226,240,271,454
+L800_04045	7690	x	L G:28,49,122,123,131,226,240,271,454
+L800_04050	15018	x	L G:28,49,122,123,131,226,240,271,454
+L800_04075	7739	x	L G:110,123,240
+L800_04125	5495	geh	L G:226,227,240,258,264_267,269,271,283,284,296,303,326,357,358,360_363,379,382,454
+L800_06685	4318	x	L G:240
+L800_08065	9824	x	L G:102,164,240,392
+L800_08070	13823	x	L G:102,164,240,392
+L800_08075	4117	speG	L G:1,102,117,144_147,149_156,158_160,164,174,240,392
+L800_08080	15624	x	L G:102,117,164,240,392
+L800_08105	6673	x	L G:102,164,227,240,392
+L800_08110	6708	x	L G:102,164,227,240,392
+L800_08120	11687	x	L G:90,91,151,152,228,237,240
+L800_08130	5884	x	L G:237,240
+L800_08135	3541	srlE	L G:237,240
+L800_08140	10466	srlA	L G:237,240
+L800_08145	14053	x	L G:237,240
+L800_08795	3402	x	L G:214,225,228,237,240,241,265_271
+L800_08800	14435	x	L G:214,225,228,237,240,241,265_271
+L800_08805	7443	x	L G:214,225,228,237,240,241,265_271
+L800_08835	8871	x	L G:240,241
+L800_10640	2757	x	G L:0_213
+L800_10645	15473	x	L G:230,240,246,359,360,379,380
+L800_11505	9305:3	x	L G:240
+L800_11540	8940	x	L G:8,240
+L800_11880	4757	x	L G:92,97,214,225,228,237,240,241,265_271
+L800_12545	9339	x	L G:39,56,57,60,63,105,155,156,159,165,175,240,250,251,265,278,280,294,361,362,367,379,389,423,424,446,447
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+L800_12560	1217	trsC	L G:39,56,57,60,63,105,155,156,159,165,175,240,250,251,265,278,280,294,361,362,367,379,389,423,424,446,447
+L800_12565	4082	traD	L G:39,56,57,60,63,105,155,156,159,165,175,240,250,251,265,278,280,294,361,362,367,379,389,423,424,446,447
+L800_12570	11126	traE	L G:56,57,60,63,105,143,155,156,159,165,175,240,250,251,265,278,280,294,361,362,367,379,389,423,424,446,447
+L800_12575	6538	trsF	L G:39,56,57,60,63,105,155,156,159,165,175,240,250,251,265,278,280,294,361,362,367,379,389,423,424,446,447
+L800_12580	9695	traG	L G:39,56,57,60,63,105,155,156,159,165,175,240,250,251,265,278,280,294,361,362,367,379,389,423,424,446,447
+L800_12585	14681	trsH	L G:39,56,57,60,63,105,155,156,159,165,175,240,250,251,265,278,280,294,361,362,367,379,389,423,424,446,447
+L800_12590	4132	traI	L G:39,56,57,60,63,105,155,156,159,165,175,240,250,251,265,278,280,294,361,362,367,379,389,423,424,446,447
+L800_12595	10884	trsJ	L G:39,56,57,60,63,105,155,156,159,165,175,240,250,251,265,278,280,294,361,362,367,379,389,423,424,446,447
+L800_12600	7661	traK	L G:39,56,57,60,63,105,155,156,159,165,175,240,250,251,265,278,280,294,361,362,367,379,389,423,424,446,447
+L800_12605	6460	traL	L G:39,56,57,60,63,105,143,155,156,159,165,175,240,250,251,265,278,280,294,361,362,367,379,389,423,424,446,447
+L800_12610	9396	traM	L G:39,56,57,60,63,105,155,156,159,165,175,240,250,251,265,278,280,294,361,362,367,389,423,424,446,447
+L800_12615	10661	traO	L G:39,56,57,60,63,155,159,165,175,240,250,251,265,278,280,294,367,423,424
+L800_12655	5512	x	L G:39,56,57,60,62,63,105,155,156,175,221,240,250,251,262,265,278,280,283,284,294,361,362,367,379,446,447
+L800_12660	6043	x	L G:39,56,57,60,62,63,105,155,156,159,175,221,240,250,251,262,265,278,280,283,284,294,361,362,367,379,389,423,424
+L800_12665	5795	x	L G:39,56,57,60,62,63,105,155,156,159,175,221,240,250,251,262,265,278,280,283,284,294,361,362,367,379,389,423,424,446,447
+L800_12670	9931	res	L G:39,56,57,60,62,63,105,155,156,159,165,175,221,240,250,251,278,280,294,362,367,379,389,424,446,447
+L800_12675	11862	x	L G:39,56,57,60,62,63,105,155,156,159,165,175,221,240,250,251,265,278,280,294,361,362,367,379,389,423,424,446,447
+L800_12680	10038	x	L G:39,56,57,60,62,63,105,155,156,159,165,175,240,250,251,265,278,280,294,361,362,367,379,389,423,424,446,447
+L800_12685	10612	x	L G:39,56,57,60,62,63,105,155,156,159,165,175,240,250,251,265,278,280,294,361,362,367,379,389,423,424,446,447
+L800_12690	3865	ltrC	L G:39,56,57,60,62,63,105,155,156,159,165,175,240,250,251,265,278,280,294,361,362,367,379,389,423,424,446,447
+L800_12695	5020	x	L G:56,57,60,62,63,105,156,159,165,175,240,250,251,265,278,280,294,361,362,367,379,389,423,424,446,447
+L800_12700	2921	rmuC	L G:39,56,57,60,62,63,105,155,156,159,165,175,240,250,251,265,278,280,294,361,362,367,379,389,423,424,446,447
+L800_12705	14077	x	L G:39,56,57,60,62,63,105,155,156,159,165,175,240,250,251,265,278,280,294,361,362,367,379,389,423,424,446,447
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+L895_09550	421	x	L G:369
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+L895_13405	9758	x	L G:369
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+M013TW_2571	2825:1	x	L G:76,237,263
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+M140OLGA_2251	5098	x	L G:17
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+M397_00010	10211	x	L G:6,7,16_25,69
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+NWMN_0291	4226	x	L G:9,10,15,17,18,21,27,38,45_47,52,58_60,62,63,65,75,79,80,82,84,86,89,97,105,112_115,119_121,124,125,129,130,132_135,137,169_172,176,200,207,209,213,226,228,231,234,237,238,258,264,271,273,277,282_284,293,300,301,303,305,308_310,314_316,320_322,324_327,329_334,345,357,361_363,379,395,446,447,455,459,460
+NWMN_0293	2676	x	L G:9,10,15,17,18,27,38,47,52,58_60,62,63,65,75,79,82,84,86,89,97,105,112_115,137,169_172,200,207,213,231,234,238,273,282,293,300,301,303,305,308_310,314_316,320_322,324_327,329_334,345,361_363,395,459,460
+NWMN_0294	971	x	L G:9,10,15,17,18,27,38,47,52,58_60,62,63,65,75,79,82,84,86,89,97,105,112_115,137,169_172,200,207,213,231,234,238,273,282,293,300,301,303,305,308_310,314_316,320_322,324_327,329_334,345,361_363,395,459,460
+NWMN_0295	4824	x	L G:9,10,15,17,18,27,38,47,52,58_60,62,63,65,75,79,82,84,86,89,97,105,112_115,137,169_172,200,207,213,231,234,238,273,282,293,300,301,303,305,308_310,314_316,320_322,324_327,329_334,345,361_363,395,459,460
+NWMN_0296	1291	x	L G:9,10,15,17,18,27,38,47,52,58_60,62,63,65,75,79,82,84,86,89,97,105,112_115,137,169_172,200,207,231,234,238,273,282,293,300,301,303,305,308_310,314_316,320_322,324_327,329_334,345,361_363,395,459,460
+NWMN_0297	2150	x	L G:9,10,15,17,18,27,38,47,52,58_60,62,63,65,75,79,82,84,86,89,97,105,112_115,137,169_172,200,207,213,231,234,238,273,282,293,300,301,303,305,308_310,314_316,320_322,324_327,329_334,345,361_363,459,460
+NWMN_0298	2781	x	L G:9,10,15,17,18,27,38,47,52,58_60,62,63,65,75,79,82,84,86,89,97,105,112_115,137,169_172,200,207,213,231,234,238,273,282,293,300,301,303,305,308_310,314_316,320_322,324_327,329_334,345,361_363,395,459,460
+NWMN_0299	2666	x	L G:9,10,15,17,18,27,38,47,52,58_60,62,63,65,75,79,82,84,86,89,97,105,112_115,137,169_172,200,207,213,231,234,238,273,282,293,300,301,303,305,308_310,314_316,320_322,324_327,329_334,345,361_363,395,459,460
+NWMN_0300	4347	x	L G:9,10,15,17,18,27,38,47,52,58_60,62,63,65,75,79,82,84,86,97,105,112_115,137,169_172,200,207,213,231,234,238,273,282,293,300,301,303,305,308_310,314_316,320_322,324_327,329_334,345,361_363,395,459,460
+NWMN_0301	2312	x	L G:9,10,27,38,47,52,58_60,62,63,65,79,86,89,97,105,112_115,137,169_172,200,207,213,231,234,238,273,282,293,300,301,303,305,308_310,314_316,320_322,324_327,329_334,345,361_363,395,459,460
+NWMN_0302	3581	x	L G:9,38,47,86,105,170_172,282
+NWMN_0303	5190	x	L G:9,10,15,17,18,27,38,47,52,58_60,62,63,65,75,79,82,84,86,89,97,105,112_115,137,169_172,200,207,213,231,234,238,273,282,293,300,301,303,305,308_310,314_316,320_322,324_327,329_334,345,361_363,395,459,460
+NWMN_0352	1032	x	G L:0_2
+NWMN_0385	6850	x	G L:0_3,70_78,87_101,103_111,198_212
+NWMN_0405	3514	fhs	L G:98,99,119_124,126_132,134,135,138,143_181,187_191,195_197
+NWMN_0408	1498	lpl3	L G:3,70_72,74,75,77,78,81,82,92,97,100,101,116_118,123_129,134_138,145_171,173_176,179_206
+NWMN_0528	5189	x	L G:92,119_194
+NWMN_0568	3894	x	L G:92,100,101,105,110,118,119,122,143_146,170_173,175,176
+NWMN_0569	6858	x	L G:92,100,101,105,110,118,119,129,134,143_146,170_173,175_194
+NWMN_0589	13671	x	L G:93,94,96,100,101,116_194,198_212
+NWMN_0694	9526	x	G L:0_121,125,135,138_163,172_175,177,179_181,187_192,195_206,208_214,220_222,226_228,230,234,236,237,242,247,261,267_269,278_280,297,299,308_310,316,346,366_368,370_373,387,405,408,450
+NWMN_0739	11015	x	L G:136,137,144_154,156,157,159_163,166,168_172,176_178,182,183,191,193
+NWMN_0829	5759	x	L G:126_130,136,138,140_142,144,145,147_149,151_155,157_160,163_166,168,170_172
+NWMN_0852	3549	x	G L:0_3
+NWMN_0992	2965	int	L G:8,11,38,59_62,65,72,83,95,103,105,119,120,122,130_132,134,135,137,170_172,176,177,182_187,189_194,213,214,224,226,233,234,236,238,246_249,252_257,259,261_266,270,273,277,279,280,282,285,286,289_291,294_296,298,299,304,305,308,311_354,360_363,366_369,379,383,384,389,414,435,445_447,455,459,460
+NWMN_0998	4194	x	L G:6,7,15,17,18,21,26,29,30,32_37,45,47_49,53_55,75,80_86,126,129,160,170,209,227,229,250,251,271,293,300,301,303,308_310,314_316,320_322,324_327,329_334,345,361_363
+NWMN_0999	829	x	L G:6,7,21,26,29,30,32_37,45,47_49,53_55,80,160,170,240,271,361_363
+NWMN_1052	11710	x	G L:0_25,73,78_80,84_86,102,207_209
+NWMN_1059	14299	x	L G:112,119_197,211,212
+NWMN_1104	4713	x	L G:92_96,103_107,109,111,119_143,145_163,165_206
+NWMN_1344	425:2	ebh2	L G:170
+NWMN_1355	12564	x	G L:0_3,8_14,83
+NWMN_1522	12240	x	L G:119_194,206,355
+NWMN_1688	7616	x	L G:170_172
+NWMN_1806	6621	x	L G:29,30,32_38,47,72,75,170_172,200,224,446,447,455
+NWMN_1812	4513	x	L G:59,65,79,80,84,87,97,103,122,123,128,129,132,170,207,242_244,259,264,291,294,304,311_331,335_340,342_351,353,354,369,379
+NWMN_1879	3238	x	G L:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+NWMN_1892	3320	gpmA1	G L:0_2,4,13,15_20,26,43,44,48,50,56_59,61,63,64,66_68,74,78,80_82,84,90_96,99_104,106_111,116_121,123,136,138_142,145,148,161,164,166,167,175_197,208,209,211,213,229,231,237,238,240,242_244,262,263,294,302,318,363,367,389,453,454
+NWMN_1908	362	dnaD2	G L:0_2,4,7,8,13,15_20,29_38,40_44,48,50,53_55,63,70_72,74_78,80_86,90,92,99_103,116,129,134,136,138_142,145,164,167,175,176,178_181,188,195_206,208,209,215_219,229,231,233,237,238,240,242_244,281,302,363,453,454
+NWMN_2000	5975	x	G L:0_5,8_14,26_68,85_92,110,120,143_160,162,199,228,339
+NWMN_2114	4137	x	L G:120_122,131,136,137,148,168,170_172,179,181,184,186
+NWMN_2184	910	x	L G:4_79,81_91,119_197
+NWMN_2378	9820	x	L G:119_130,132_136,138_149,151_165,167_173,175_194
+NWMN_2400	2299	ribC	L G:118_130,132_137,145_149,151_172,175,177,178,182_195
+PSAPIG020002	7426	x	L G:16,19
+PSAPIG020003	14726	x	L G:16
+PSAPIG020004	1528	x	L G:16,19
+PSAPIG020005	7212	x	L G:16,19
+PSAPIG030002	9885	x	L G:16
+RSAU_000030	6808	x	L G:70,211
+RSAU_000054	5992	x	L G:70
+RSAU_000172	15930	x	L G:7,70
+RSAU_000173	13795	x	L G:70
+RSAU_000340	9623	x	L G:70
+RSAU_000344	13748	x	L G:70
+RSAU_000347	278:24	x	L G:70
+RSAU_000348	14570:6	x	L G:70
+RSAU_000362	14058	x	L G:70
+RSAU_000363	14684	x	L G:70
+RSAU_000364	15053	x	L G:70
+RSAU_000768	9326	x	L G:70
+RSAU_000897	14570:5	x	L G:70
+RSAU_000898	278:23	x	L G:70
+RSAU_000918	14570:2	x	L G:70
+RSAU_000919	278:26	x	L G:70
+RSAU_001202	14974	x	L G:70
+RSAU_001312	10588	x	L G:70
+RSAU_001985	15097	x	L G:70
+RSAU_002139	278:10	x	L G:70
+RSAU_002140	14570:1	x	L G:70
+RSAU_002220	4361	x	L G:70
+RSAU_002329	13437	x	L G:70
+RSAU_002354	278:3	x	L G:70
+RSAU_002355	14570:4	x	L G:70
+RSAU_002497	11731	sraP	L G:70
+RSAU_002501	8025	x	L G:70
+S091751_0087	10009	x	L G:226,227
+S091751_0127	12695	x	L G:227
+S091751_0440	11467	hlb	L G:227
+S091751_0679	383:2	x	L G:227
+S091751_0680	7862	x	L G:227
+S091751_0742	14478	x	L G:227
+S091751_1142	4191	x	L G:227
+S091751_1463	6755	x	L G:213,226,227
+S091751_1465	15878	x	L G:213,226,227
+S091751_1466	13555	x	L G:213,226,227
+S091751_1468	7840	secF	L G:227
+S091751_1528	10813	x	L G:227
+S091751_2032	5622	x	L G:227
+S091751_2137	5326	x	L G:227
+S091751_2172	9506	x	L G:227
+S091751_2173	12471	x	L G:226,227
+S091751_2175	2284	x	L G:213,226,227
+S091751_2176	9089	x	L G:213,226,227
+S091751_2177	15828	x	L G:213,226,227
+S091751_2178	3123	x	L G:213,226,227
+S091751_2179	14701	x	L G:213,226,227
+S091751_2182	14295	x	L G:227
+S091751_2231	1989	x	L G:98,99,112,179_181,227
+S091751_2348	15065	x	L G:213,226,227
+S091751_2349	12309	x	L G:213,226,227
+S091751_2403	3147:3	x	L G:227
+S091751_2405	14490	x	L G:213,226,227
+S091751_2406	11107	x	L G:213,226,227
+S091751_2420	10647	x	L G:227
+S091751_2465	7057	splB	L G:227
+S091751_2485	14932	x	L G:227
+S091751_2677	1616	x	L G:227
+S091751_2806	2373	x	L G:227
+S091751_2835	14755	x	G L:0_212,232
+S091751_2904	12896	x	L G:227
+S103564_0064	14019	sraP	L G:93_96
+S103564_0160	14605	x	L G:96
+S103564_0265	11712	x	G L:0_3,293
+S103564_0288	1931:2	x	L G:70,88,89,92_94,96,100_111,124,127,128,136,138_143,145_149,151_160,163_166,168,170,172_175,177_184,186_194,210
+S103564_0291	13366	x	L G:96,227,283
+S103564_0314	5343	ybaK	L G:85,96,169,215_219,240,258,259,277,278
+S103564_0679	7018	x	L G:96
+S103564_0697	14909	x	G L:0_3,56_68,85,86,207,273,375
+S103564_0701	12752	x	L G:92_94,96,98,100_102,104,106_109,111,116_118,198_201,203_207
+S103564_0720	5289	x	G L:0_2,144
+S103564_0818	11024	x	L G:93,94,96
+S103564_0842	10799	x	G L:0_3
+S103564_0931	1549	x	G L:0_3,119_121,131_133
+S103564_0983	5706	x	L G:4,5,26_28,69,70,85,86,93_96,98_108,111,198_206,208,209
+S103564_0984	3756	x	L G:4,5,26_28,69,70,85,86,93_96,98_111,198_206,208,209
+S103564_0985	3672	x	L G:4,5,26_28,69,70,85,86,93_96,98_101,103_109,111,198_206,208,209
+S103564_1054	5397	x	G L:0_92,97_212,240
+S103564_1063	3185	x	L G:70,73_78,80,93_96,207
+S103564_1091	6648	x	L G:93_96
+S103564_1098	6267	x	G L:0_14,26_70,78,95,208,209
+S103564_1194	4399	x	L G:4,39,93,95,96,122,123,134,176,214,237
+S103564_1195	10869	x	L G:4,39,75,93,95,96,114,122,123,134,176,214,237
+S103564_1196	4508	x	L G:4,39,75,93,95,96,114,122,123,134,176,214,237
+S103564_1198	2640	aadE	L G:0,39,73,93_96,103,109,114,119_121,134,143_150,153,154,156_160,213,214,230,237,240,263,274,278,290,311_314,316,318_354,426_430,436,456_460
+S103564_1200	2978	x	L G:0,4,39,93_96,114,119_123,130_135,143_145,147_154,156_160,176,214,237,240,263,274,278,290,311_354,427_430,436,456_460
+S103564_1201	6203	x	L G:0,4,39,93_96,119_123,130_135,176,214,237,263
+S103564_1203	6423	x	L G:0,4,39,93_96,122,123,134,135,176,214,237,263,290
+S103564_1204	10544	x	L G:0,4,39,93_96,122,123,134,176,214,237
+S103564_1240	3667	hsdS	L G:70_77,81,82,92_96,100,101,112
+S103564_1300	8515	x	L G:85,86,93_96,198_206
+S103564_1301	5232	set15	L G:93_96,112,198_206
+S103564_1302	12117	x	L G:70,93_96,198_206
+S103564_1310	927	x	L G:70,85_88,90,91,93_96,102,116,117,198_206,210_212
+S103564_1317	1490	x	L G:69,71,72,85,86,92_97,100_102,116_118,195_197
+S103564_1584	7415	x	L G:3,93_96,100,101
+S103564_1623	14954	x	L G:96,109
+S103564_1626	4475	coa	L G:7,30,34,39,70,73,80,84,92,96,123,130,131,214,244,248,257_261,263,275,280,290,304,324,334,339,346,371,373,397,440,447,451
+S103564_1689	6596	x	L G:38,52,58_60,62,63,65,93_96,143_160,162,163,165,208,220_222,371
+S103564_1690	5088	x	L G:38,47,52,58_60,62,63,65,93_96,143_160,162,163,165,208,220_222,360,371
+S103564_1691	7333	x	L G:26,38,47,93_96,109,145,146,159,208,227
+S103564_1704	7686	x	L G:4,15,25,40_42,69,71,93_96,103_108,111,119,120,130,137,143_163,167,176_195,213,231_234,294,358,360
+S103564_1707	2335	x	L G:9,47,86,93_96,106_108,169,172,177,182_187,189_194,228,229,237,248,258,264,271,273,277,283_285,289,290,293,298,300,301,303,308_310,314_316,320_322,324_327,329_334,345,357,389,395,426,435,446,447,455
+S103564_1708	7449	x	L G:0,9,21,47,86,93_96,106_108,169,172,177,182_187,189_194,228,229,237,248,258,264,271,273,277,283_285,289,290,293,298,300,301,303,308_310,314_316,320_322,324_327,329_334,345,357,389,395,426,435,446,447,455
+S103564_1714	16043	int	L G:93,94,96
+S103564_1715	4862	int	L G:93_96,105,183,246,250,251,279,289,290,381
+S103564_1716	2133	x	L G:3,6,7,26_53,55_68,71,72,78,79,81,82,87_91,93,94,96,98,99,112
+S103564_1835	12319	x	G L:0_3,42,78,95,129,146
+S103564_1873	8214	x	L G:93_96
+S103564_1881	5887	x	L G:6,93_96,111,122,123,211,229
+S103564_1902	12535	x	L G:78,93_96
+S103564_2032	4322	x	L G:4,93,95,96,122,123,134,176,214
+S103564_2033	15927	x	L G:93_96,113_115,208_212
+S103564_2045	13783	x	L G:4,93_96,122,123,134,176,214
+S103564_2087	2904	x	L G:93,94,96,98,99,103_108,110,111,113,115,195_205,249_257,264,379
+S103564_2109	2089	x	L G:70_77,93_96,98_101,103_111,198_212
+S103564_2111	2581	x	L G:93_96,98,99,103_109,111,208,209
+S103564_2112	7391	x	L G:96,110,208,209
+S103564_2113	9752	x	L G:93_96
+S103564_2114	14666	x	L G:93,94,96,98,104_111,208,209
+S103564_2115	6476	x	L G:87_91,93_96,98_101,103_111,198_212
+S103564_2117	10287	x	L G:3,87_91,93_96,98,99,103_109,111,208,209
+S103564_2118	2285	x	L G:3,70_78,87_91,93_101,103_111,198_212
+S103564_2119	5105	x	L G:70_72,74_77,93,94,96_100,103_108,111,198_200,202_206,208_212
+S103564_2143	6617	x	L G:93_96,102,112,198_206
+S103564_2166	4039	x	L G:4_14,26_68,70,73_80,85_197,207_212
+S103564_2205	6424	x	L G:96
+S103564_2206	14120	x	L G:96
+S103564_2213	3873	x	L G:93_96
+S103564_2214	4227	dam	L G:93,94,96
+S103564_2215	9448	x	L G:93_96
+S103564_2244	4860	x	L G:0_2,93,95,96
+S103564_2245	12605	x	L G:0_2,93,95,96
+S103564_2246	6197	x	L G:93,95,96
+S103564_2257	3887	x	L G:93_96
+S103564_2282	6220	x	G L:15,18,41,128
+S103564_2316	11488	x	L G:83,93_96,98,99,103_109,111,208,209
+S103564_2318	4552	x	L G:4_14,69_78,80_86,93_96,98,99,103_118,208,209
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+SACIG2018_1446	3934	x	L G:8,9,11,27,28,38,52,58_63,65,72,80,83,95,105,123,128,130_132,134,135,137,160,170_172,176,177,182_187,189_194,213,214,226,233,234,236,246_249,252,253,255,257,259,262,263,265,266,270,273,277,279,280,282,285_287,289_291,294_296,298,299,304,305,308,313_322,328,332_334,340,341,343,345,360_363,366_369,379,383_394,396_402,404_413,415_427,429_434,436_442,445_447,453,455,459,460
+SACIG2018_1621	10027	x	L G:187
+SACIG2018_1622	4230:13	x	L G:131,180,187
+SACIG2018_1696	6272	x	L G:43,44,73,79,92,150,165,167,168,174,177_195,206,233,234,238,239,279,355,419
+SACIG2018_1700	8300	x	L G:3_6,34,90,91,113_115,177_194,207_209
+SACIG2018_1798	3737	msa	L G:177_188,192_194
+SACIG2018_1800	12846	x	L G:178_187,192_194
+SACIG2018_2079	10122	x	L G:187,246
+SACIG2018_2277	10159	x	L G:177_179,182,187_194
+SACIG2018_2291	12187	x	L G:177_179,182,187_194
+SACIG2018_2318	2629	x	L G:119,121_135,137,177,179_194,220_222
+SACIG2018_2328	11585	x	L G:137,177,179_194,220_222
+SACIG2018_2350	7566	x	L G:109,178_187,189_194,245
+SACIG2018_2352	6027	x	L G:112,177_194,245
+SACIG2018_2529	3091	x	L G:164,177_179,182,183,185_191,193,194
+SACIG2018_2538	6646	x	L G:26,91,103,117,118,164,169_172,176_183,185_187,189_191,194,198,200,207,226,227
+SACIG2018_2544	8258	x	L G:7,164,176_183,185_191,193,194,209,213,231,234,379
+SACIG2018_2547	11946	x	L G:164,177_183,185_191,193,194,379
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+SACIG2018_2549	6425	x	L G:51,113,123,129,131,164,176_183,185_191,193,194,220_222,234,379
+SACIG2018_2572	8728	x	L G:84,89,187,234
+SACIG2018_2576	7152	x	L G:89,110,177_194
+SACIG2018_2619	14426	x	L G:187
+SACIG2018_2748	6304	x	L G:63,64,83,119,120,144,150,182_194,213
+SACIG2018_2791	3740	x	L G:4,25,69,71,81_83,103_105,111,119,120,130,143_146,148_161,163,165,176_195,213,231,233,234,294,358,360
+SACIG2018_2793	4977	x	L G:4,25,69,71,82,83,103_105,111,119,120,130,143_163,167,176_195,213,220_222,231_234,294,326,358,360
+SACIG2018_2794	9989	x	L G:4,25,69,71,82,83,103_105,111,119,120,130,143_163,167,176_195,213,220_222,231_234,294,326,358,360
+SACIG2018_2795	4964	x	L G:4,25,69,71,82,83,103_105,111,119,120,130,143_163,167,176_195,213,220_222,231_234,294,326,358,360
+SACIG290_0064	661:2	x	L G:5
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+SACIG290_0205	7051	x	L G:5
+SACIG290_0206	7869	x	L G:5
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+SACIG290_0496	7589	x	L G:4_7
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+SACIGC93_0352	6505	x	L G:197
+SACIGC93_0383	9437	menE2	L G:121,197
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+SACIGC93_0406	13562	x	L G:196,197
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+SACIGC93_2443	8619	x	L G:197
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+SACOL0052	6230	x	L G:8,136,137,214_219,225
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+SACOL0332	8017	x	L G:26,43_45,75_77,79,80,85,87_89,93_96,117,118,136,161,209,211,454
+SACOL0334	7850	x	L G:136,227
+SACOL0337	814	x	G L:0_5,8,9,11_26,39_42,46_51,53_57,61,66_70,73_77,80,81,84,86,90_108,110,111,113,117,118,121,124_130,132,133,135,137_144,147_158,160_163,165_168,173_176,184,192,195_197,199,201_207,209_219,223,225,228_230,232,233,235,237_240,245,247,250,251,257,263,265,267_269,271_275,278,297,298,301,315,320_322,356,361_363,395
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+SACOL0339	3239	ssb_4	G L:0_14,16,19_51,53_57,61,64,66_71,73,74,76,77,80,87_111,113,116_118,121,127,128,130,132,133,135,138_170,173_175,177_199,201_208,210_214,223_225,228,230,232,233,235_240,242_245,247,252_257,263,265,267_269,271_275,278,282,297,298,356,361_363,379,395,425,453
+SACOL0340	2734	x	G L:0_14,16,19_50,53_57,61,64,66_71,73,74,76,77,80,87_111,113,116_118,121,122,127_130,133,135,138_199,201_208,210_214,223_225,227,228,230,232,233,235_240,242_245,247,252_257,263,265,267_269,271_275,278,282,297,298,356,361_363,379,395,425,453
+SACOL0346	4264	x	L G:45,47,49,119,120,122,123,129,131,132,134,136,215_219,228
+SACOL0348	5857	x	L G:136
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+SACOL0359	7447	x	L G:11,26,60,62,71,79,86,94,136,138,170_172,214,217,220_222,226,227,234,258,277,296,360,439
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+SACOL0363	3798	x	L G:136
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+SACOL0889	5111	x	L G:6,7,73,74,76,77,79,113,126_128,136,143,145_158,160_163,171,172,175_194,213,226,227,232
+SACOL0890	6137	lytM	L G:6,7,73_77,79,113,126_128,136,143,145_158,160_163,171,172,175_194,213,226,227,232,241,250,251,272,273,305
+SACOL0891	3988	scrB	L G:6,7,73_77,79,113,126_128,136,143,145_158,160_163,171,172,175_194,213,226,227,232,241,250,251,272,273,305
+SACOL0895	1662	x	L G:13,26_28,43_45,47,48,50_52,54_67,70,71,73_79,81,84,98_101,117,118,122,123,126_128,134,136,165,168,171,172,174,175,178_192,194,198_203,205,206,214,220_222,224,225,228,232,237,274,278
+SACOL0907	3599	entB	L G:14,26,73_77,80,98_100,136,171,172,175_180,182_194,225,232
+SACOL0908	5329	ear	L G:7,14,26,29_42,73_77,80,85,98_100,106_108,110,122,123,136,143,145_158,160_163,167,171,172,174_194,225,232,274,278,357,384
+SACOL1097	38:16	x	L G:97,100,101,104_107,109_111,113,114,120,122_124,126_129,131_134,136,138,140_146,148_156,158_166,168_170,173_175,177_197
+SACOL1176	9973	x	L G:116,118,124,126_134,136_138,161,164_170,172_174,176_181
+SACOL1574	7470	x	L G:3_5,43,44,50,72,73,80,86,92,112,136,137,150,164,167,174,195,196,206,208,209,233,234,238,239,279,355,381,394,419
+SACOL1860	3725	x	L G:78,109,110,136,137,150,170_174
+SACOL2457	14514	x	G L:0_91,118,208,209
+SAD30_1604	12440	x	G L:0_14,26_68,73_77,79,81,82,101,112,144,314
+SADG_00588	8251	x	L G:30,31,38
+SADG_00658	13406	x	L G:38
+SADG_00811	8842	x	L G:38
+SADG_00876	11318	x	L G:29_38,78
+SADG_01557	11432	x	L G:38,89,109,110,121
+SADG_01690	12280	x	L G:38
+SADG_01744	13432	x	L G:38
+SADG_01775	9065	x	L G:38
+SADG_01830	7519	x	L G:29_38
+SAEG_00485	11294	x	L G:35
+SAEG_00562	4710	x	L G:35,39,40,60
+SAEG_00779	5466	x	L G:29,35,86,110,176,234,247,258,259
+SAEG_02202	1383	x	L G:35
+SAEMRSA15_09400	12790	x	L G:87_91,112
+SAEMRSA15_09830	7291	x	L G:87_91
+SAEMRSA15_09920	10637	x	L G:87_91
+SAEMRSA15_13510	8146	x	L G:90,91
+SAEMRSA15_13620	5251	x	L G:91,100
+SAEMRSA15_18880	4040	x	L G:6,7,91
+SAEMRSA15_18980	5762	x	L G:91
+SAEMRSA15_19120	14162	x	L G:91
+SAFG_00903	8451	x	L G:374
+SAFG_02053	7397	x	L G:161,374
+SAFG_02054	13886	x	L G:161,374
+SAFG_02280	11117	x	L G:15,102,374
+SAFG_02288	15488	x	L G:374
+SAFG_02291	13859	x	L G:374
+SAFG_02703	12690	x	L G:73,374
+SAFG_02704	15739:1	x	G L:21,23,41,81,82,96,128,230
+SAGG_00814	13962	x	L G:165
+SAGG_01186	10918	x	L G:165
+SAGG_02214	14839	x	L G:165
+SAGG_02651	11293	x	L G:165
+SAGG_02652	15376	x	L G:165
+SAGG_02653	14191	x	L G:165
+SAGG_02668	1177	x	L G:75,165
+SAGG_02669	15327	x	L G:75,165
+SAGG_02677	6169	x	L G:39,109,165
+SAHG_00236	6677	x	L G:245,246,248_251,253_255,257_260,265_268,270,271,274_280,282_285,289_297,299_344,356_364,366_368,370,373_382,384_390,396,405,408,410,412,414,417_424,426_428,432_435,439,442_444,446_449,451,452,456_459
+SAHG_01518	8468	x	L G:357
+SAHG_01524	15398	x	L G:214_225,230_245,258_282,357_381
+SAHG_01705	13724	x	L G:357
+SAHG_01966	5351	x	L G:357
+SAHG_02039	14417	x	L G:357
+SAHG_02374	9521	x	L G:280,341,357
+SAHG_02651	6817	x	L G:357
+SAHG_02745	10897	x	L G:357
+SAHV_0050	10434	x	G L:0_7,10_29,32_36,38,40_45,47,49,50,52_56,69_115,117,118,122,123,126,128,129,136,138_163,166_173,177_206,208_219,226_244,276,389_393,402,405,408,418_420,451_453
+SAHV_0104	6584	x	G L:0_213,294,356,459
+SAHV_0126	11180	x	G L:0_91,93_96,98,99,102_112,119_212
+SAHV_0220	9642	uhpT	L G:220_222
+SAHV_0428	6737	x	G L:0_209,228,241,242,379
+SAHV_0886	6623	x	L G:220_222
+SAHV_1024	8927	x	G L:0_84,87_91,95,97_102,109,110,113_115
+SAHV_1070	2609	x	L G:93,97,116,197,200_206,209,215_225,227,229,230,233_235,240,243_245,247,249,252_256,260,261,263,264,267_277,279_281,283_287,290_320,322_327,329_333,335_345,347_355,357_362,364_367,369_371,373_376,378,380_384,386_388,390,392_396,398_401,403,405_407,409,411_440,442_446,448_459
+SAHV_1307	6516	x	L G:220_222
+SAHV_1308	7216	x	L G:220_222
+SAHV_1465	9351	x	G L:0_206,208_212,394
+SAHV_1908	278:2	tnp	G L:0_69,73_91,93_97,112,115,125,126,135,147,167,171,176,202,206,207,209_212,228,231,234,242,268,287,301,323,325,348,352,355,384,386,402,420,428,458
+SAHV_2152	4229	x	L G:73,150,221,222,245,439
+SAHV_2153	6299	x	L G:150,221,222,245,439
+SAHV_2196	7425	truncated-SA	G L:0_212
+SAHV_2197	7682	x	G L:0_115,117_212
+SAHV_2198	8499	x	G L:0_115,117_212,292
+SAHV_2327	15829	x	G L:0_96,98,99,102_111,113_115,119_209
+SAHV_2558	14711	x	G L:0_215,227,228,230,234,242,253
+SAI4T8_1000320	2861	ccrB1	L G:136,137,214_219,228
+SAI4T8_1000410	2384	x	L G:8,136,137,214_219,225
+SAI4T8_1000420	6537	x	L G:136,137,214_219
+SAI4T8_1003130	12890	x	L G:215_219,230
+SAI4T8_1003230	3696	x	L G:47,58,86,99,116,117,215_219,232,248
+SAI4T8_1006180	9023	clfA	L G:215_219
+SAI4T8_1006850	2805	x	L G:5,27,50,51,60,76,84_86,92,102,112,128,131,176,195,196,210_212,214_219,237,238,357
+SAI4T8_1010770	6082	x	G L:0_91,93_101,103_206,210_212,366,367
+SAI4T8_1015830	6181	truncated-SA	L G:215_219,223,369
+SAI4T8_1016110	8227	x	L G:214_219
+SAI4T8_1019390	4711	truncated-SA	L G:215_219,223,269,369
+SAIG_01070	13539	x	G L:0_78,80_99,102_115,117_194,198_207,210_212,228
+SAISM_0132	12882	x	L G:116,245
+SAISM_0682	6285	x	L G:120,245
+SAISM_0689	13501	x	L G:144,245
+SAISM_0728	14658	queC	L G:245
+SAISM_0736	12689	x	L G:245
+SAISM_0737	15063	x	L G:245
+SAISM_0926	13624	x	L G:245
+SAISM_0936	5242	x	L G:245
+SAISM_0972	11849	x	L G:245
+SAISM_1145	9180	x	L G:85,110,245
+SAISM_1173	15708	rpsE	L G:245
+SAISM_1174	6849	x	L G:234,245
+SAISM_1545	9038	x	L G:245
+SAISM_1546	14762	x	L G:109,245
+SAISM_1612	15723	x	L G:245,279
+SAISM_1772	15006	x	L G:245
+SAISM_1793	12489	x	L G:245
+SAISM_2342	15129	x	L G:245
+SAISM_2343	13603	x	L G:245
+SAISM_2426	11911	x	L G:89,109,110,245
+SAISM_2536	6660	x	L G:211,245
+SAISM_2537	12127	x	L G:211,245
+SAISM_2735	8075	x	L G:120,130,245
+SAISM_2739	14348:2	x	L G:245,246
+SAISM_2740	9523	x	L G:245
+SAJG_02513	12941	x	L G:242,244
+SAKG_00357	14559	x	L G:233
+SAKG_00358	10400	x	L G:233
+SAKG_00359	13270	x	L G:233
+SAKG_00360	10147	x	L G:233
+SAKG_00361	11721	x	L G:233
+SAKG_01664	4781	x	L G:233
+SAKG_02215	4206	x	L G:233
+SAKG_02478	15172	x	L G:233
+SAKG_02481	9131	x	L G:233
+SAKG_02482	13386	x	L G:233
+SAKG_02621	14832	x	L G:233
+SAKOR_00038	7582	x	L G:212
+SAKOR_00057	2131	x	L G:212
+SAKOR_00232	8601	x	L G:212
+SAKOR_00791	4911	x	L G:212
+SAKOR_00815	6036	x	L G:211,212
+SAKOR_01081	9749	x	L G:212
+SAKOR_01373	5357	x	L G:212
+SAKOR_01747	7927	x	L G:212
+SAKOR_01748	15844	x	L G:212
+SAKOR_01891	480:6	x	L G:212
+SAKOR_01989	15872	x	L G:131,212
+SAKOR_02056	2009	x	L G:87_92,100,101,198_206,210_212
+SAKOR_02167	15731	x	L G:208_212
+SAKOR_02457	10139	x	L G:212
+SAKOR_02458	11974	x	L G:212
+SALG_00032	10878	x	L G:10
+SALG_00284	15556	x	L G:10
+SALG_00508	13994	x	L G:4_14
+SALG_00510	2459	x	L G:4,5,8_14
+SALG_00514	15807	x	L G:10
+SALG_00565	13389	x	L G:4,5,8_14
+SALG_00684	13022	x	L G:10
+SALG_00890	11240	x	L G:10,207,237,395
+SALG_00891	8092	x	L G:10,207,237,395
+SALG_00946	1445	x	L G:10
+SALG_01294	10225	x	L G:5,8_12,14,69,75_77,105,168,198_206,212
+SALG_01532	14811	x	L G:8_14
+SALG_01632	11857	x	L G:8_14
+SALG_01778	10902	x	L G:10
+SALG_01856	9173	x	L G:10,130
+SALG_01889	4505	x	L G:10,209
+SALG_01893	8541:3	x	L G:10,81
+SALG_02189	9698	x	L G:10
+SALG_02363	12085	x	L G:8_12
+SALG_02421	10883	x	L G:10
+SALG_02427	10096	x	L G:6_14
+SALG_02447	4554	x	L G:8_12,69,73,92,101,103,104,107_112,115,143_154,156_160,195,196,208,209,223_225,237,239,240,262_264,274,278,283,284,290,311_332,334_354,366,367,369,426_430,436,456_460
+SALG_02459	5519	x	L G:8_12,26,44,71,72,90,117,138,223,225,237,239,263,264,290,366,367,369
+SALG_02467	10558	x	L G:10
+SALG_02523	15290	x	L G:8_14
+SALG_02586	13304	x	L G:10,129,160
+SAMG_00045	11229	x	G L:0_212,316
+SAMG_00962	6611	x	G L:0_14,26_68,78,81,82,87_91
+SAMG_01374	9111	x	L G:426
+SAMG_01418	14270	x	G L:0_194,198_207,210_212,375_378
+SAMG_02099	3367	x	L G:293,300,301,303,308_310,314_316,320_322,324_327,329_334,345,426
+SAMG_02726	12911	x	L G:121,213,426
+SAMSHR1132_00110	1216	x	L G:3
+SAMSHR1132_00610	6195	x	L G:3,92
+SAMSHR1132_00620	12580	x	L G:3,92
+SAMSHR1132_00621	4320	x	L G:3
+SAMSHR1132_00630	13658	x	L G:3,92
+SAMSHR1132_00640	3272	x	L G:3,92
+SAMSHR1132_00670	11343	x	L G:3
+SAMSHR1132_00680	14467	x	L G:3
+SAMSHR1132_01010	10295	x	L G:3
+SAMSHR1132_01130	11086	x	L G:3
+SAMSHR1132_01420	8676	x	L G:3
+SAMSHR1132_01430	7811	x	L G:3
+SAMSHR1132_01460	7061	x	L G:3
+SAMSHR1132_01470	12760	x	L G:3
+SAMSHR1132_01520	9538	x	L G:3
+SAMSHR1132_01550	7077	x	L G:3
+SAMSHR1132_01690	6924	x	L G:3
+SAMSHR1132_01900	10416	x	L G:3
+SAMSHR1132_01940	3406	x	L G:3
+SAMSHR1132_01950	8584	x	L G:3
+SAMSHR1132_02010	5384	x	L G:3
+SAMSHR1132_02070	7586	x	L G:3,69
+SAMSHR1132_02310	11367	x	L G:3
+SAMSHR1132_02320	8922	x	L G:3
+SAMSHR1132_02340	6166	x	L G:3
+SAMSHR1132_02900	9239	x	L G:3
+SAMSHR1132_02930	11063	x	L G:3
+SAMSHR1132_03070	10596	x	L G:3
+SAMSHR1132_03090	8956	x	L G:3
+SAMSHR1132_03200	9203	x	L G:3
+SAMSHR1132_03370	10020	x	L G:3
+SAMSHR1132_03420	280:1	x	L G:0_3,69,70,78,144_156,158_160,212
+SAMSHR1132_03440	12332	x	L G:3
+SAMSHR1132_03630	10988	x	L G:3
+SAMSHR1132_03670	8920	x	L G:3
+SAMSHR1132_03690	7427	x	L G:3
+SAMSHR1132_03770	16085	x	L G:3
+SAMSHR1132_03800	10614	x	L G:3
+SAMSHR1132_04000	3083	x	L G:3
+SAMSHR1132_04100	5456	x	L G:3
+SAMSHR1132_04110	14217	x	L G:3
+SAMSHR1132_04120	15669	x	L G:3
+SAMSHR1132_04320	15433	x	L G:3
+SAMSHR1132_04500	11455	x	L G:3
+SAMSHR1132_04600	4263	x	L G:3
+SAMSHR1132_04750	9686	x	L G:3
+SAMSHR1132_04780	16078	x	L G:3
+SAMSHR1132_04850	14889	x	L G:3
+SAMSHR1132_05180	9729	x	L G:3
+SAMSHR1132_05190	7745	x	L G:3
+SAMSHR1132_05200	4173	x	L G:3
+SAMSHR1132_05210	14144	x	L G:3
+SAMSHR1132_05220	5598	x	L G:3
+SAMSHR1132_05260	4665	x	L G:3
+SAMSHR1132_05540	13217	x	L G:3
+SAMSHR1132_05630	8657	x	L G:3
+SAMSHR1132_05640	12004	x	L G:3
+SAMSHR1132_05650	4690	x	L G:3
+SAMSHR1132_05670	10438	x	L G:3
+SAMSHR1132_05680	1236	x	L G:3
+SAMSHR1132_05710	1120	x	L G:3
+SAMSHR1132_05720	13631	x	L G:3
+SAMSHR1132_05760	7727	x	L G:3
+SAMSHR1132_05810	9682	x	L G:3
+SAMSHR1132_05850	11416	x	L G:3
+SAMSHR1132_05860	3502	x	L G:3
+SAMSHR1132_05870	7813	x	L G:3
+SAMSHR1132_05970	13604	x	L G:3
+SAMSHR1132_05980	15163	x	L G:3
+SAMSHR1132_06020	7695	x	L G:3
+SAMSHR1132_06120	10986	x	L G:3
+SAMSHR1132_06160	9171	x	L G:3
+SAMSHR1132_06200	13278	x	L G:3
+SAMSHR1132_06220	14440	x	L G:3
+SAMSHR1132_06230	5931	x	L G:3
+SAMSHR1132_06240	6684	x	L G:3
+SAMSHR1132_06250	11316	x	L G:3
+SAMSHR1132_06270	14856	x	L G:3
+SAMSHR1132_06330	8992	x	L G:3
+SAMSHR1132_06350	7912	x	L G:3
+SAMSHR1132_06380	12952	x	L G:3
+SAMSHR1132_06390	12214	x	L G:3
+SAMSHR1132_06410	12524	x	L G:3
+SAMSHR1132_06420	14733	x	L G:3
+SAMSHR1132_06580	9632	x	L G:3
+SAMSHR1132_06590	10267	x	L G:3
+SAMSHR1132_06600	11253	x	L G:3
+SAMSHR1132_06610	5450	x	L G:3
+SAMSHR1132_06820	14196	x	L G:3
+SAMSHR1132_06930	9963	x	L G:3
+SAMSHR1132_06950	3263	x	L G:3
+SAMSHR1132_06960	14195	x	L G:3
+SAMSHR1132_07020	11133	x	L G:3
+SAMSHR1132_07070	995	x	L G:3
+SAMSHR1132_07160	9948	x	L G:3
+SAMSHR1132_07230	9075	x	L G:3
+SAMSHR1132_07310	4111	x	L G:3,78
+SAMSHR1132_07330	9387	x	L G:3
+SAMSHR1132_07340	10758	x	L G:3
+SAMSHR1132_07350	1306	x	L G:3
+SAMSHR1132_07360	12731	x	L G:3
+SAMSHR1132_07380	837	x	L G:3
+SAMSHR1132_07390	12197	x	L G:3
+SAMSHR1132_07420	7078	x	L G:3
+SAMSHR1132_07430	12920	x	L G:3
+SAMSHR1132_07440	9786	x	L G:3
+SAMSHR1132_07450	5481	x	L G:3
+SAMSHR1132_07460	11981	x	L G:3
+SAMSHR1132_07470	10929	x	L G:3
+SAMSHR1132_07500	15197	x	L G:3
+SAMSHR1132_07510	11400	x	L G:3
+SAMSHR1132_07520	10370	x	L G:3
+SAMSHR1132_07530	4942	x	L G:3
+SAMSHR1132_07550	1995	x	L G:3
+SAMSHR1132_07590	7042	x	L G:3
+SAMSHR1132_07650	13837	x	L G:3
+SAMSHR1132_07820	13719	x	L G:3
+SAMSHR1132_07830	14831	x	L G:3
+SAMSHR1132_07890	4897	x	L G:3
+SAMSHR1132_07910	8426	x	L G:3
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+SAMSHR1132_08050	4839	x	L G:3
+SAMSHR1132_08240	10843	x	L G:3
+SAMSHR1132_08290	7454	x	L G:3
+SAMSHR1132_08300	12547	x	L G:3
+SAMSHR1132_08330	296:2	x	L G:3
+SAMSHR1132_08430	9570	x	L G:3
+SAMSHR1132_08470	9375	x	L G:3
+SAMSHR1132_08550	2946	x	L G:3
+SAMSHR1132_08660	12822	x	L G:3
+SAMSHR1132_08690	11756	x	L G:3
+SAMSHR1132_08850	15518	x	L G:3
+SAMSHR1132_08870	10848	x	L G:3
+SAMSHR1132_08930	11624	x	L G:3
+SAMSHR1132_08950	8160	x	L G:3
+SAMSHR1132_09020	11497	x	L G:3
+SAMSHR1132_09150	15605	x	L G:3
+SAMSHR1132_09240	14922	x	L G:3
+SAMSHR1132_09320	5382	x	L G:3
+SAMSHR1132_09390	12765	x	L G:3
+SAMSHR1132_09440	12331	x	L G:3
+SAMSHR1132_09510	12781	x	L G:3
+SAMSHR1132_09530	8986	x	L G:3
+SAMSHR1132_09550	9687	x	L G:3
+SAMSHR1132_09570	15729	x	L G:3
+SAMSHR1132_09670	9854	x	L G:3
+SAMSHR1132_09690	4371	x	L G:3
+SAMSHR1132_09760	6315	x	L G:3
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+SAMSHR1132_09860	7094	x	L G:3
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+SAMSHR1132_10000	9195	x	L G:3
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+SAOUHSC_01729	10908	x	G L:0_78,80_86,92,98_101,210_212,226
+SAOUHSC_01733	1852	x	G L:0_3
+SAOUHSC_01739	2658	lytH	G L:0_2,120,121,389
+SAOUHSC_01763	873	radC	G L:0_3,14,37,40,81,119,122,125,126,129,165,176,207,225,276,285,357,358,363,374,377,389,417,426
+SAOUHSC_01843	1495	harA	G L:0_3,228
+SAOUHSC_01858	1274	pheT2	G L:0_2,26,28,39_42,44_47,49_52,56_63,65_68
+SAOUHSC_01880	278:4	tnp5	L G:89,98,99,113_115,119,121_166,168_170,173_175,177_194,198_206,210_212
+SAOUHSC_01894	6020	arsC	L G:70_84,87_92,100,101,112,119_207
+SAOUHSC_01898	3565	x	G L:0_14,26_68,87_91
+SAOUHSC_01900	3376	x	G L:0_68,78,85_91,167
+SAOUHSC_01923	3468	x	L G:3,6,7,15_25,69,80,87_94,96_99,102_111,113_160,162_206,208_212
+SAOUHSC_01924	3109	x	L G:3_5,69_72,79,92,97,119_130,132_160,162_194
+SAOUHSC_01925	7146	fruB	L G:3_7,69_72,79_82,87_92,97_99,102,116_160,162_197,208_212
+SAOUHSC_01926	3217	fruA	L G:3_7,15_25,69_72,81,82,87,88,90,91,98,99,102_108,111,119_160,162_194,208_212
+SAOUHSC_01927	249:1	tnp	G L:0_4,6_11,13,14,26_68,73_78,80_86,92_96,98,99,102,112_118,161,195_212
+SAOUHSC_01931	3194	x	L G:81,82,103_108,111,119,120,122,123,126_160,162_194
+SAOUHSC_01932	5880	hsdS	L G:78,81,82,103_111,119_123,126_160,162_194
+SAOUHSC_01938	1508:1	splF	G L:0_5,8_25,69,73_77,85_91,95,113_115,121,124,125,161,198_207,225,228,386,441
+SAOUHSC_01941	1965:1	splB	G L:0_6,8_68,73_77,87_91,113_115,124,125,161,174,198_207,228
+SAOUHSC_01942	2754	splA	G L:0_5,8_69,73_78,80,83,87_91,113_115,124,125,161,174,198_207
+SAOUHSC_01943	9604	x	G L:0_91,98,99,102,112_118,124,125,161,195_209,386
+SAOUHSC_01944	4767	ear	L G:100,101,103_108,110,111,119_123,126_160,162_194
+SAOUHSC_01945	1441	epiG	G L:0_5,8_68,71_77,81,82,87_91,113_115,124,125,161,198_207,386
+SAOUHSC_01947	4359	epiE	L G:78,83_86,93_96,100,101,103_111,119_123,126_145,147_160,162_194
+SAOUHSC_01948	365	mutF	L G:78,83_86,93_96,100,101,103_111,119_121,123,126_160,162_194
+SAOUHSC_01949	2981	epiP	L G:78,83_86,93_96,100,101,103_109,111,119_123,126_160,162_166,168_194
+SAOUHSC_01950	669	epiD	L G:78,83_86,93_96,100,101,103_111,119_123,126_194
+SAOUHSC_01951	7933	epiC	L G:78,83,84,86,93_96,100,101,103_111,119_123,126_178,182_194
+SAOUHSC_01952	2082	epiB	L G:78,83_86,93_96,100,101,103_111,136_166,168_194
+SAOUHSC_01954	1408:1	lukD	G L:0_5,8_24,26_28,31,38,39,46_68,73,74,90,91,124,125,207,228,232,386
+SAOUHSC_01955	2409	lukE	G L:0_5,8_68,73_77,83,87_91,124,125,198_207,228,386
+SAOUHSC_01956	4289	x	G L:0_3,6_69,73_78,80,83_92,97,102,112,116_118,124,125,386
+SAOUHSC_01957	126	x	G L:0_3,6_69,78,80,83_92,95,97,102,110,112,116_118,124,125,146,386
+SAOUHSC_01959	4460	x	G L:0_111,113_115,195_212,234
+SAOUHSC_01985	8307	x	L G:15,16,18_25,92,98,99,101,116_118,123_136,138_195
+SAOUHSC_01986	9896	murB	L G:92,102_111,119_194
+SAOUHSC_01993	58	tnp	G L:0_68,70,72_79,81_89,91,93_111,113_116,126,128,129,161,162,169,176,177,188,195_197,207_209,211,225
+SAOUHSC_02007	4028	x	G L:0_14,69,78_84
+SAOUHSC_02016	2760	x	G L:0_5,7,9,11_13,15_20,22_25,27,28,43_47,49_51,53_57,64,66_71,78,81_84,86,88_97,100_111,116_121,124_135,137,139,140,143,144,147_158,161_164,166,168,170,189,191,195_208,210_219,223_226,231,233_239,241,245,249_251,257,263,265,267_269,271,272,275,278,282,297,298,315,356,371,379,395,425
+SAOUHSC_02018	6438	x	G L:0_7,9,11_13,15_20,22_25,27,28,43_47,49_51,53_57,61,64,66_71,78,81_84,86,88_97,100_111,116_121,124_135,137,139,140,143,144,147_158,161_164,166,168,170,189,191,195_208,210_219,223_226,231,233_239,241,245,250,251,257,263,265,267_269,271,272,275,278,282,297,298,315,356,371,379,395,425,426
+SAOUHSC_02019	929	lytA	G L:0_8,12_15,19_25,28_44,49_51,53_57,64,66_71,73,74,76,77,79,81,83,87_93,96_118,126,127,129,136_140,143,144,147_158,161_169,174_176,178_181,188,195_197,199,201_212,214_219,223_225,227_229,231_233,235,236,238_248,250,251,267_269,275,276,278,279,281,288,292,293,297,299_302,306,307,309,310,355,356,358,359,364,370_378,380_382,443_447,450_458
+SAOUHSC_02020	1312	geh	G L:0_7,12_15,19_25,28_44,49_51,53_57,64,66_71,73,74,76,77,81,87_93,96_118,121,126,127,129,136,138_140,143,144,147_158,161_169,174_176,178_181,188,195_197,199,201_212,215_219,223_225,227_229,231_233,235,236,238_248,250_253,255,267_269,275,276,278,279,281,288,291_293,297,299_302,306,307,309,310,315,355,356,358,359,364,370_378,380_382,414,443_447,450_458
+SAOUHSC_02021	639	x	G L:0_7,12_20,22_25,28_37,39_44,49_51,53_57,64,66_71,73_78,81_84,88,90_93,96,98_102,104,106_108,110,111,117,118,126,127,136,139,140,143,144,147_158,161_168,174,175,178_181,188,195_197,199,201_206,208,210_213,215_219,223,225,229,232,234,235,239,245,249,252_255,267_269,275,278,280,286,287,297,299,315,356,371,390,392,398_400,404_406,411,414_416,424,431,433,437,438,440,455
+SAOUHSC_02022	153	x	G L:0_7,12_20,22_25,28_37,39_44,46,49_51,53_57,64,66_71,73_78,81_84,88_93,96_102,104,106_108,110,111,117,118,126,127,136,139,140,143,144,147_158,161_168,174,175,178_181,188,195_197,199_206,208,210_213,215_219,223,225,229,232,235,239,245,249,252_255,267_269,275,278,280,286,297,299,344,356,371,389,400,404,406,412,414,416,433,455
+SAOUHSC_02023	327	atl	G L:0_7,9,10,12_25,27_47,49_58,63_71,73_77,79_84,86,88_93,96,98_102,104_108,110_115,117,118,124_127,129,130,132_137,139,140,143,144,147_158,161_169,174_176,178_181,188,195_197,199_212,215_219,223,225,228,229,231,232,234,235,237_239,245,249,252,253,255,262,267_269,271,275,278,286,297,299,301,356,361,371,395,412,414,429
+SAOUHSC_02026	4007	x	L G:11,27,48,60,62,80,94,97,105,122,123,131,138,141,142,170,173,209,220_222,224,227,230,236,240_244,246,248,250,251,258_261,263_266,274,276,279_285,289_296,300,302_304,306_313,316_319,321,322,324_327,329_336,338_351,353,354,357_360,364,365,368_370,372_378,380_382,384_388,394,407_411,413_427,431_446,448_454,456_459
+SAOUHSC_02027	1594	x	G L:0_7,12_14,16,19,20,22_25,28_37,39_44,49_51,53_57,64,66_71,73_77,81_84,88,90_93,96,98_102,104,106_108,110,111,117,118,126,127,136,139,140,143,144,147_158,161_168,174,175,178_181,195_197,199,201_206,208,210_212,215_219,223,225,229,232,235,239,245,262,267_269,275,278,285,286,297,299,305,356,357,363,371,412,428_430,455
+SAOUHSC_02028	796	x	G L:0_7,12_14,16,19,20,22_25,28_37,39_44,49_51,53_57,64,66_71,73,74,76,77,81,83,88,90_93,96,98_102,104,106_108,110,111,117,118,126,127,136,139,140,143,144,147_158,161_168,174,175,178_181,188,195_197,199,201_206,208,210_212,215_219,223,225,229,232,235,239,245,262,267_269,275,278,286,297,305,356,371,412,428_430,455
+SAOUHSC_02029	2589:1	x	G L:0_7,12_14,16,19,20,22_25,28_37,39_44,49_51,53_57,64,66_71,73,74,76,77,81,83,88,90_93,96,98_102,104,106_108,110,111,117,118,126,127,136,139,140,143,144,147_158,161_168,171,174,175,178_181,188,195_197,199,201_206,208,210_212,215_219,223,225,226,229,232,235,239,245,267_269,275,278,286,297,308,321,344,353,356,357,363,371,383,398,412,429,455
+SAOUHSC_02030	1368:1	x	G L:0_8,12_14,16,19,20,22_25,28_37,39_44,49_51,53_57,64,66_71,73,74,76,77,81,83,88,90_93,96,98_102,104,106_108,110,111,117,118,126,127,136,139,140,143,144,147_158,161_168,174,175,178_181,188,195_197,199,201_206,208,210_212,215_219,223,225,229,232,235,239,245,267_269,275,278,297,299,356,371,411,412
+SAOUHSC_02031	955:1	x	G L:0_7,9,10,12_25,27_47,49_58,63,64,66_71,73_77,79_84,86,88_93,96,98_102,104_108,110_115,117_121,124_127,129,130,132_137,139,140,143,144,147_158,161_169,174_176,178_181,188,195_197,199,201_213,215_219,223,225,228,229,231,232,234,235,237_239,245,252,253,255,256,267_271,275,278,297,299,301,346,356,361_363,371,395,412,428_430,445
+SAOUHSC_02033	943:1	x	G L:0_7,9,10,12_25,27_47,49_58,63,64,66_71,73_77,79_84,86,88_93,96,98_102,104_108,110_115,117_121,124_127,129,130,132_137,139,140,143,144,147_158,161_169,174_176,178_181,188,195_197,199,201_213,215_219,223,225,228,229,231,232,234,235,237_239,245,252,253,255,256,267_269,271,275,278,297,299,301,356,361_363,368,371,395,412,428_430,445
+SAOUHSC_02034	2138	x	G L:0_7,9,10,12_25,27_47,49_58,63,64,66_71,73_77,79_84,86,88_93,96,98_102,104_108,110_115,117_121,124_127,129,130,132_137,139,140,143,144,147_158,161_169,174_176,178_181,188,195_197,199,201_213,215_219,223,225,228,229,231,232,234,235,237_239,245,267_269,271,275,278,297,301,356,361_363,371,395,412,414,416,431,445
+SAOUHSC_02035	1910:1	x	G L:0_7,9,10,12_25,27_47,49_58,63,64,66_71,73_77,79_84,86,88_93,96,98_102,104_108,110_115,117_121,124_127,129,130,132_137,139,140,143,144,147_158,161_169,174_176,178_181,188,195_199,201_213,215_219,223,225,228,229,231,232,234,235,237_239,245,267_269,271,275,278,285,297,301,304,327,356,361_363,371,395,412,445
+SAOUHSC_02036	65:1	x	G L:0_7,9,10,12_25,27_47,49_58,63,64,66_71,73_77,79_84,86,88_93,96,98_102,104_108,110_115,117_121,124_127,129,130,132_137,139,140,143,144,147_158,161_169,174_176,178_181,188,195_197,199,201_213,215_219,223,225,228,229,231,232,234,235,237_239,245,264,267_269,271,275,278,297,301,304,327,356,361_363,371,395,412,445
+SAOUHSC_02037	3922	x	G L:0_7,9,10,12_25,27_47,49_58,63,64,66_71,73_77,79_84,86,88_93,96,98_102,104_108,110_115,117_121,124_127,129,130,132_137,139,140,143,144,147_158,161_169,174_176,178_181,188,195_197,199,201_213,215_219,223,225,228,229,231,232,234,235,237_239,245,267_269,271,275,278,285,286,297,301,327,356,361_363,371,395,412,445
+SAOUHSC_02038	481	x	G L:0_7,9,10,12_25,27_47,49_58,63,64,66_71,73_77,79_84,86,88_93,96,98_102,104_108,110_115,117_121,124_127,129,130,132_137,139,140,143,144,147_158,161_169,174_176,178_181,188,195_197,199,201_213,215_219,223,225,228,229,231,232,234,235,237_239,245,267_269,271,275,278,286,297,301,327,332,356,361_363,371,395,412
+SAOUHSC_02040	3533:1	x	G L:0_7,9,10,12_25,27_47,49_58,63,64,66_71,73_77,79_84,86,88_93,96,98_102,104_108,110_121,124_127,129,130,132_137,139,140,143,144,147_158,161_169,174_176,178_181,188,195_197,199,201_213,215_219,223,225,228,229,231,232,234,235,237_239,245,249,267_269,271,275,278,286,297,301,356,361_363,371,395,412
+SAOUHSC_02041	2301	x	G L:0_7,9,10,12_25,27_47,49_58,63,64,66_71,73_77,79_84,86,88_93,96,98_102,104_108,110_115,117_121,124_127,129,130,132_137,139,140,143,144,147_158,161_169,174_176,178_181,188,195_197,199,201_213,215_219,223,225,228,229,231,232,234,235,237_239,245,249,267_269,271,275,278,286,297,299,301,356,360_363,371,395,412
+SAOUHSC_02042	1854	x	G L:0_7,9,10,12_25,27_47,49_58,63,64,66_71,73_77,79_84,86,88_93,96,98_102,104_108,110_115,117_121,124_127,129,130,132_137,139,140,143,144,147_158,161_169,174_176,178_181,188,195_197,199,201_213,215_219,223,225,228,229,231,232,234,235,237_239,245,256,267_269,271,275,278,286,297,299,301,356,361_363,371,395,412
+SAOUHSC_02043	382	x	G L:0_7,9,10,12_25,27_47,49_58,63,64,66_71,73_77,79_84,86,88_93,96,98_102,104_108,110_115,117_121,124_127,129,130,132_137,139,140,143,144,147_158,161_169,174_176,178_181,188,195_197,199,201_213,215_219,223,225,228,229,231,232,234,235,237_239,245,253,255,256,262,267_269,271,275,278,286,297,299,301,356,361_363,371,395,412,445
+SAOUHSC_02044	4982:1	x	G L:0_7,9,10,12_25,27_47,49_58,63,64,66_71,73_77,79_84,86,88_93,96,98_102,104_108,110_115,117_121,124_127,129,130,132_137,139,140,143,144,147_158,161_169,174_176,178_181,188,195_197,199,201_213,215_219,223,225,228,229,231,232,234,235,237_239,245,267_269,271,275,278,285,297,299,301,328,337_340,343,356,361_363,371,395,404,412,414
+SAOUHSC_02046	1164:1	x	G L:0_7,9,10,12_25,27_47,49_58,63,64,66_71,73_84,86,88_93,96,98_102,104_121,124_127,129_137,139,140,143,144,147_158,161_169,173_176,178_181,188,195_197,199_213,215_219,223,225,228,229,231,232,234,235,237_239,245,249,252,253,255,256,267_269,271,275,278,297,301,356,361_363,371,395,404,412,414
+SAOUHSC_02047	1580	x	G L:0_10,12_25,27_47,49_58,63,64,66_71,73_77,79_84,86,88_93,96,98_102,104_108,110_115,117_121,124_127,129,130,132_137,139,140,143,144,147_158,161_169,174_176,178_181,188,195_197,199,201_213,215_219,223,225,228,229,231,232,234,235,237_239,245,249,252,253,255,256,267_269,271,275,278,287,297,301,356,361_363,371,395,404,412,414
+SAOUHSC_02048	230	x	G L:0_10,12_25,27_47,49_58,63,64,66_71,73_77,79_84,86,88_93,96,98_102,104_108,110_115,117_121,124_127,129,130,132_137,139,140,143,144,147_158,161_169,174_176,178_181,188,195_197,199,201_213,215_219,223,225,228,229,231,232,234,235,237_239,245,249,252,253,255,256,267_269,271,275,278,297,299,301,308,325,356,361_363,371,395,400,406,411,412,414,437,442
+SAOUHSC_02049	1478	x	L G:6_8,26,48,60_62,72,85,87,94,95,97,103,122,123,128,131,141,142,145,146,159,160,170,171,173,177,182_187,189_194,198,200,220_222,224,230,233,240,241,247_251,257,259,261_266,270,272,273,277,279,280,282,285_287,289_291,294,296,298,299,305,308,313_327,332,333,345,360,366_369,379,386_394,396_409,411_440,442,445
+SAOUHSC_02050	3602	x	L G:6_8,26,48,60_62,72,85,87,94,95,97,103,109,122,123,128,131,141,142,145,146,159,160,170,171,173,177,182_194,198,200,220_222,224,230,233,240,241,247_251,257,259,261_266,270,272,273,277,279,280,282,285_287,289,290,294,296,298,299,305,308,313_328,331,333,345,360,366_369,379,386_394,396_409,411_440,442,445
+SAOUHSC_02051	934	x	G L:0_5,8_10,12_14,16,19_25,27_37,39_47,49_58,63,64,66_71,73_83,88_93,96,98_108,110_118,122_127,131,132,134,136,137,139,140,143,144,147_158,161_168,172,174_176,178_181,188,195_197,199_213,215_225,228_240,245,247,249_256,263,267_269,275,278,297,299,301,304,329,356,371,380,395,411,440
+SAOUHSC_02053	3326:5	x	L G:141
+SAOUHSC_02055	2878	x	L G:43,44,53_55,75_77,79,93,94,101,141,262,263,266,281,359
+SAOUHSC_02056	1094	x	L G:47,51,78,79,97,122,123,129,141,142,145,146,159,175,226_228,233,236,238,278,280,298,326,327,360,371,378
+SAOUHSC_02057	496	dut	G L:0_3,6,11_28,31,38,39,46_51,53_57,61,64,66_74,76_78,80_82,86,92,97_99,101_104,106_112,114,117_121,124_128,130,132,133,135_140,146,161,164,166_168,170_172,174,176,178_181,188,189,195_207,210_219,223,225,227,228,230_232,234_239,242_247,250_257,261,265,267_269,271_273,275,277,279,280,282,297,299,301,315,320_322,356,361_363,395,425,453
+SAOUHSC_02058	11120	x	L G:82,85,141,142,229
+SAOUHSC_02061	2571	x	L G:8,9,15,17,20,27,40_44,48,52,58_60,62_65,72,75,79,89,97,100,109,116,122,123,129,130,132,141,142,164,170,172,175,200,224,229,238,240,265_269,278,280,296,298,361_363,366,367,371,376,378,447
+SAOUHSC_02062	976	x	L G:48,52,58_60,62,63,65,81_83,136,141,142,164,228,277
+SAOUHSC_02063	4174	x	L G:20,48,52,58_60,62,63,65,141,142,164,277,281
+SAOUHSC_02064	3147:1	x	G L:0_5,9,10,12_14,16,18_20,22_25,29,39_42,50,56,57,61,66_70,73,74,90_94,96,98_100,102_104,106_108,110,111,117,118,121,127,130,133,137,139,140,143,144,147_158,161_163,165_168,170,171,174,175,184,192,195_197,207,210_213,223_225,229,232_236,239,242,244,245,247,252_257,263,265,267_269,271_275,278,282,297,298,301,315,320_322,356,425,454
+SAOUHSC_02066	3026	x	L G:7,18,27,78,80,82_84,86,117,119,123_125,129_132,136,137,141,142,209,213,215_219,228,241_244
+SAOUHSC_02067	2012	dnaB	L G:7,18,27,78,80,82_84,86,119,123_125,129_132,135_137,141,142,209,213,215_219,228,241_244
+SAOUHSC_02068	1535	x	L G:7,18,27,78,80,82_84,86,119,120,123_125,129_132,135_137,141,142,209,213,215_219,228,241_244
+SAOUHSC_02069	3117	x	L G:27,80,82,83,86,122,123,129,132,136,141,142,176,209,228
+SAOUHSC_02070	760	x	L G:4,5,7,10,21,26_28,31_33,36,43_49,53_55,64,71,72,79,80,85,86,88,89,95,97,101,105,109,116,141,142,145,146,159,160,164,169,170,173,176_183,185_191,193,194,198_206,208,224,228,230,233,236_238,243,252_256,271,277,281,282,287,324,379,385_442,446,447,453_455
+SAOUHSC_02071	2991	x	L G:4,5,8,9,11_14,26,29_38,43_46,48,49,53_55,87_89,95,102,109,116_118,141,142,145,146,159,160,164,173,176_183,185_191,193,194,207,208,228,230,236_238,252_256,271,277,282,287,324,385_442,454
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+SAOUHSC_02078	5259	x	L G:8,26,85,87,89,97,109,138,141,142,173,234,237,240,246,248_251,258_262,264,266,270,274,276,277,279_281,283_296,299,300,302_314,316_319,323_355,357_360,364_424,426_452,454_460
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+SAOUHSC_02081	10924	x	L G:48,53_55,61,79,97,136,141,142,211,247,249,252_256,279,280,289,290,296,379,414,454
+SAOUHSC_02083	5637	x	L G:38,45,48,53_55,60_62,72,79,94,122,123,135,136,141,142,145,146,159,160,170_172,176,211,226,228,247_249,252_256,262,263,266,270,273,279,280,282,286,290,291,295,296,325_327,346,347,349_354,360,366_368,414,445,454,459,460
+SAOUHSC_02084	3795	x	L G:38,48,53_55,60_62,72,79,94,122,123,135,136,141,146,159,160,170_172,211,226,228,247_249,253_256,262,266,270,273,282,286,295,296,346,360,366_368,414,445,454,459,460
+SAOUHSC_02086	15698	x	L G:79,141,142
+SAOUHSC_02087	3885	x	L G:79,84,85,97,109,138,141,142,230
+SAOUHSC_02088	6627	x	L G:79,84,85,89,97,109,138,141,142,230
+SAOUHSC_02089	2437	int	L G:8,9,26_28,48,52,58_60,62,63,65,81_83,85,86,122_125,128,129,141,142,145,146,159,160,170,173,237,252_256,277,287,324_327,385_422,424_442
+SAOUHSC_02141	1385	x	G L:0_3,15_25,69,71,72,79,81_84,97_99,102,210_212
+SAOUHSC_02156	9035	x	G L:0_86,95
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+SAOUHSC_02163	1706	hlb	G L:0_4,13,15_20,22,43,44,70,73_78,81_84,89,90,92,99,100,102,109_111,116,117,120,122,123,130,131,136,138_140,145,167,175,192,207,213,220_222,231,237,238,240,241,243,260,262_264,290,294,302,318,356,363,367,379,389,453,454
+SAOUHSC_02177	1218	x	G L:0_2,4,6_9,13,15_20,26,43,44,46_48,50,52,56_68,71,72,74_78,80,84,86,90,92_96,98_100,102_112,116_118,121,124,125,127_130,132,133,135,136,138_140,145,164,166,167,169_206,210,211,215_223,227_231,233_235,237,238,241,243,258,262,263,265_270,272,273,275_277,294,302,318,357_369,371_374,389,453
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+SAOUHSC_02197	5376	x	L G:6,26,28_30,32_37,43_45,49,80_83,87_89,93_96,101,103,104,106_111,117,118,122,123,131,135,141,142,161,164,166,177_183,185_191,193,194,208,209,211,226,229,240,242,244,271,454
+SAOUHSC_02198	2327	x	L G:6,26,29,30,32_37,43_45,80_83,87_89,93_96,101,103,104,106_111,117,118,122,123,135,141,142,161,164,166,176_183,185_191,193,194,208,209,211,229,242,244
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+SAOUHSC_02206	14896	x	L G:94,101,141,142,169,207,242,244,247,281,282,289,290,360,362,363,366,367
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+SAOUHSC_02214	602	x	G L:0_6,9,12_14,16,19,20,22_25,39_42,50,56,57,61,66_70,73,74,85,90_94,96,98_100,102_104,106_108,110,111,118,121,127,133,139,140,143,144,147_158,161_163,165_168,174_176,184,192,195_197,207,210_212,223,225,232,234,235,239,245,247,257,263,265,267_269,272_276,278,297,298,356,454
+SAOUHSC_02215	14586	x	L G:38,112,114,115,141,142,390,396,398,402,418,420,433,437,440
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+SAOUHSC_02222	949	x	L G:80,83,86,95,97,101,105,137,141,142,171,172,198_206,215_219,238,242,244,281,379
+SAOUHSC_02223	3800	x	L G:6_8,18,26_28,39,46,51,61,69,73,75,83,85_89,91,93_97,101,103_111,116_118,122_124,126_131,134,135,137,141,142,164,166,169,173,176_183,185_191,193,194,209,211,215_219,226,229,236,241,242,244,247_253,255,257,273,277,279,280,289,290,293,295,296,300,301,303,305,308_311,314_316,320_322,324_332,334,336,340_345,352_354,361_363,366,367,377,379,383,384,460
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+SAOUHSC_02231	4394	x	L G:101,104,110,141,142
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+SAOUHSC_02233	158	x	L G:3,27,28,39,43_45,51,53_55,64,69,73,75_77,79,87_89,91,101,103,104,106_111,122_129,131,134,135,137,141,142,161,164,166,169,177_183,185_191,193,194,198_206,220_222,226,228,232,236,240,242,244,271,278,281,379,454
+SAOUHSC_02234	6608	x	L G:3,87_89,101,103,104,106_110,134,141,142,161,164,166,176_183,185_191,193,194,242,244,379
+SAOUHSC_02235	1296	x	L G:3,49,101,103,104,106_110,134,141,161,164,166,177_183,185_191,193,194,242,244,250_254,256,257,261,271,287,299,312,328,332_334,337,341,344_346,355,361,362,385_394,396_438,440_442,447
+SAOUHSC_02236	15279	x	L G:5,118,141,142,241
+SAOUHSC_02240	5	sph	G L:0_2,89,215_219,227
+SAOUHSC_02245	1085:1	x	L G:87_92,100_197,207,210_212,214,220_222,224,225,237,240,265_271
+SAOUHSC_02246	2452	fhuD	L G:87_92,100_196,207,210_212,214,220_222,224,225,237,240,241,265_271
+SAOUHSC_02248	3957	x	L G:87,88,90_92,102_109,111,119_172,174_194
+SAOUHSC_02249	4486	x	L G:87_92,102_111,119_128,130_194
+SAOUHSC_02252	6526	int	L G:87_91,102_111,119_194
+SAOUHSC_02283	554	ilvH	G L:0_3,76
+SAOUHSC_02290	4228	mnhF	L G:122_124,126,127,129,131_134,136_138,140_142,144_146,148_160,163,164,166,168_171,173_175,177_194,230,326,335,371
+SAOUHSC_02301	14233	x	L G:139_142
+SAOUHSC_02302	5641	x	L G:139_142,188
+SAOUHSC_02322	1963	csoR	G L:0_2,68,255
+SAOUHSC_02386	12653	x	L G:139_142
+SAOUHSC_02392	4157	res	L G:71_77,83,85,86,112,119_194
+SAOUHSC_02393	4293	prfC	L G:70_77,80,83,85,86,112,116_194
+SAOUHSC_02404	1744:1	fmtB	G L:0_2,26,41,48,83,228,377
+SAOUHSC_02416	6967	x	L G:87_91,97,119_143,145_194
+SAOUHSC_02418	1666	lmrS	G L:0_2,208,209
+SAOUHSC_02462	3264	x	L G:81,82,92_96,100,101,103_111,113_115,119_126,129_197,208_210,212
+SAOUHSC_02469	9728	x	L G:119_194
+SAOUHSC_02470	7627	x	G L:0_2,15_68,73_77,81,82,93_97,102
+SAOUHSC_02471	2558	purL	L G:119_194,207
+SAOUHSC_02472	4555	clpA	L G:119_177,179_184,186_190,192_194,207
+SAOUHSC_02474	3637	purM	L G:119_194,207
+SAOUHSC_02475	14783	purN	L G:119_194,207
+SAOUHSC_02476	173	purH	L G:119_194,207
+SAOUHSC_02521	5470	x	G L:0_3,70_86,93_96,100
+SAOUHSC_02523	11941	x	L G:97,116_206
+SAOUHSC_02533	1406	x	L G:69,70,73_77,81,82,85_91,103_111,119_197
+SAOUHSC_02555	6023	x	L G:139,141,202
+SAOUHSC_02567	196	x	G L:0_25,64,69_91,137,147,236,258
+SAOUHSC_02595	6	yocS	G L:0_2,27,28,47_68
+SAOUHSC_02605	2010	hipO2	G L:0_3
+SAOUHSC_02616	6177	x	G L:0_3,123
+SAOUHSC_02632	11834	x	L G:141
+SAOUHSC_02633	10862	x	L G:141,241
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+SAOUHSC_02637	4538	tcaR	L G:139_142
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+SAOUHSC_02672	7945	x	L G:97,103_111,119_197,208,209,245
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+SAOUHSC_02688	5854	x	G L:0_91,98,99,112,116_118,195_206,210_212,271
+SAOUHSC_02707	8764	x	L G:92,119_194
+SAOUHSC_02738	9412:1	arcA	G L:0_25,70_91,102,113_115,195_197,207_209,213
+SAOUHSC_02756	4389	rbgA	G L:0_25,27,28,47_68,71_77,81,82,116_118,122,123,418
+SAOUHSC_02757	5013	stbD	G L:0_25,27,28,47_68,71_77,81,82,118,122,123
+SAOUHSC_02758	1883	x	L G:69,70,79,87_94,96,103_109,111,113_121,124_197
+SAOUHSC_02771	332	x	L G:15_25,69,73_77,81_92,97_125,129_206,208_212
+SAOUHSC_02777	931:1	tsf	G L:0_2,116,228
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+SAOUHSC_02784	2220	x	G L:0_3,7,12,13,15_68,71,72,79,81_84,93_96,98_112,116_135,142,162,208,209,211,241
+SAOUHSC_02785	1756	x	G L:0_3,12,15_68,71,72,79,81_84,93_96,98_112,116_135,162,208,209,211,241
+SAOUHSC_02786	6106	x	L G:8_11,13,14,85,86,136_149,151_161,163_194
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+SAOUHSC_02799	3394	sarT	G L:0_2,6_70,78_86,95,98_101,112,207_209
+SAOUHSC_02800	4223	sarU	G L:0_2,6_70,78_86,95,98_101,112,207_209,234,312
+SAOUHSC_02802	592:1	fnbA_1	G L:0_2,6,7,17,26_28,39,47_68,74,78,86,90,91,102,115,116,126_128,131,153,164,167,204,215_219,226,230,239,242,245,256,258,259,281,282,312,316,320,328,357,374,389,397,410,418,460
+SAOUHSC_02813	6013	x	L G:29,81,119,120,141
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+SAOUHSC_02819	5708	yvnA	L G:3,15_25,69,79,80,83,84,87_96,102,113_117,119,121,122,124,125,127_130,132,133,135,136,138_142,144,147_149,151_194,207
+SAOUHSC_02829	1888	yfkO	G L:0_2
+SAOUHSC_02832	659	x	G L:0_3,15_68,71,72,95,131,150
+SAOUHSC_02833	2000	x	G L:0_3,15_68,71,72,271
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+SAOUHSC_02868	6479	x	L G:136_172,175_194
+SAOUHSC_02879	305	crtM	G L:0_3
+SAOUHSC_02886	90	x	G L:0_7,15_70,83,93_96,119_135,176,198_206
+SAOUHSC_02890	2758	x	G L:0_3,26_68,100,119_135
+SAOUHSC_02902	13770	x	L G:119,139_142,213
+SAOUHSC_02903	12618	x	L G:139_142
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+SAOUHSC_02972	3233	isaB	G L:0_68,85_91,110,118_135
+SAOUHSC_02988	699	asp1	G L:0_2,199,248
+SAOUHSC_02992	2305	x	G L:0_2,8,12,34,75,79,80,88,92,98,100,118,119,144,150,208_212,228,229,236,241,246
+SAOUHSC_03008	13769	x	L G:141
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+SAOUHSC_03055	10057	rpmH	G L:0_2,7,13,56_68,81,86
+SAOUHSC_A00084	11869	x	G L:0_3,70,79,80,83,260
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+SAOUHSC_A00526	3850	x	G L:0_69,71_77,95,124,125,228,384
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+SAOUHSC_A00703	15019	x	G L:0_5,8_68,81,82,87_91,93_102,112,116_118,195_197
+SAOUHSC_A00747	12673	x	L G:141
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+SAOUHSC_A01723	6928	x	G L:0_3,130
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+SAOUHSC_A01912	11225	x	G L:0_2,4,6,7,10,13,14,17,20,22,24_41,43,45,47_50,52,53,55,58,63,65,67,69_71,73,75,79_82,85_88,90,92,93,95_100,102,103,108,111_123,125_131,135,137_139,142_147,150,156,161_165,167,169,171_173,175_178,188,190,191,196,198_200,202_207,209_214,226_228,230,231,233,234,236,241_245,248,250,251,253,258,259,262,263,267,276_280,285,286,289,290,293,305,306,311,346,348,354,357,358,363,374,377,379,380,385,389,408,410,417,418,422,426,428,433,460
+SAOUHSC_A02013	2096	x	G L:0_5,9_68,70_80,82_88,90,91,95,98,99,102,113_119,125,134,175,198_209,228
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+SAOUHSC_A02169	7819	x	G L:0_91,93_96,98_101,103_111,173,174,195_197
+SAOUHSC_A02189	4415	x	G L:0_3,14,87_91,95,131,197,255
+SAOUHSC_A02254	7848	x	L G:79,92,113_115,119_197
+SAOUHSC_A02273	13587	x	L G:112,119_126,128_130,133_194
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+SAOUHSC_A02350	5954	x	L G:119,121,123_143,145_175,177_194,207
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+SAOUHSC_A02680	6207	x	G L:0_14,26_91,98_101,208,209
+SAOUHSC_A02771	10070	x	G L:0_2,78,234
+SAOUHSC_A02794	233	x	G L:0_3
+SAOUHSC_A02795	13940	x	G L:0_91,100_102,112_135,195_197,207_209,238,239,262_264,391_393
+SAOUHSC_A02801	7501	x	G L:0_3
+SAOUHSC_A02811	11141	x	L G:93,94,96,102_111,113_118,136,138_142,164_173,175_197,207,210_212
+SAOUHSC_A02856	6416	x	G L:0_3,6,7,26_86,119_135,208,209
+SAOV_0298	10831	x	L G:83
+SAOV_0302	7738:3	x	L G:83
+SAOV_0303	8069:2	x	L G:83
+SAOV_0304	8541:1	x	L G:83,97,209
+SAOV_0343	3616	x	L G:78,81_83
+SAOV_0418	7679	x	L G:83
+SAOV_0420	11059	x	L G:83,116
+SAOV_0421	5274:4	x	L G:83
+SAOV_0422	7744:2	x	L G:83
+SAOV_0423	6056:2	x	L G:83
+SAOV_0424	2413:2	x	L G:83
+SAOV_0425	3697:1	x	L G:83
+SAOV_0452	14807	x	L G:83
+SAOV_0759c	38:67	x	L G:83
+SAOV_0802c	38:73	x	L G:83
+SAOV_0810	15756	x	L G:83
+SAOV_0812	4447	x	L G:83
+SAOV_1011	11283	x	L G:83
+SAOV_1078	11636	x	L G:83
+SAOV_1088	7738:2	x	L G:83
+SAOV_1089	8069:3	x	L G:83
+SAOV_1090	8541:4	x	L G:83
+SAOV_1094	15247	x	L G:83,116
+SAOV_1096	13379:2	x	L G:83
+SAOV_1105	7973	x	L G:83
+SAOV_1106	2275	x	L G:83
+SAOV_1107	13888	x	L G:83
+SAOV_1113	14806	x	L G:83
+SAOV_1115	7071	x	L G:83
+SAOV_1119	4435	x	L G:83
+SAOV_1124	2497	x	L G:83
+SAOV_1150	2860	x	L G:83,84
+SAOV_1799	14167	x	L G:70,83
+SAOV_1835	8799	x	L G:83
+SAOV_1905	4948:3	x	L G:83
+SAOV_1906	5764:2	x	L G:83
+SAOV_1907	7134	x	L G:6,83
+SAOV_1930c	12468	x	L G:6,83,229
+SAOV_1937c	13379:1	x	L G:83
+SAOV_1943c	8541:2	x	L G:83
+SAOV_1944c	8069:1	x	L G:83
+SAOV_1950c	14892	x	L G:83
+SAOV_2056c	11099:1	x	L G:16,17,19,20,45,83,86,90,106_108,110,143,145_158,160_163,225
+SAOV_2058c	5274:5	x	L G:83
+SAOV_2062c	6527	x	L G:26,43,44,79,83
+SAOV_2063c	8996	x	L G:83
+SAOV_2064	12800	x	L G:26,43,44,79,83
+SAOV_2199c	9750	x	L G:83
+SAOV_2253c	8731	x	L G:83
+SAOV_2306c	7257	x	L G:83
+SAOV_2655c	11125	x	L G:83
+SAOV_2705c	1951	x	L G:83
+SAPG_00248	11402	x	G L:0_3,78,87_91,103_111,113_118,208,209
+SAPG_00507	4638	x	L G:98,99,119_168,170_197
+SAPG_00904	6229	x	L G:177
+SAPG_01027	9022	x	L G:177,187,188,192,230
+SAPG_01244	15996	x	L G:124,133,135,176_187,189_194
+SAPG_01527	7256	x	L G:92_96,98_112,116_194,198_207
+SAPG_01850	13615	x	L G:164,175_194
+SAPG_02575	15459	x	L G:177
+SAPG_02821	8212	x	L G:14,46,98,99,122,123,136,171,172,174,175,177_188,190,192,194
+SAPG_02823	15851	x	L G:177
+SAPIG0060	6429	x	L G:16
+SAPIG0061	9208	x	L G:16,146
+SAPIG0068	14519	x	L G:16
+SAPIG0082	8646:2	x	L G:16
+SAPIG0086	14808	x	L G:16
+SAPIG0088	4564	x	L G:16,20,24,86,89,97
+SAPIG0089	2239:2	x	L G:16,24
+SAPIG0093	8929	x	L G:16_25
+SAPIG0130	15907	x	L G:16
+SAPIG0141	6922	x	L G:16,79
+SAPIG0142	9337	x	L G:16,79
+SAPIG0197	9073	x	L G:16
+SAPIG0314	8254	x	L G:15_25
+SAPIG0356	13759:2	x	L G:16
+SAPIG0357	3713:2	x	L G:16
+SAPIG0364	3472:1	x	L G:15,16
+SAPIG0385	13364:2	x	L G:16
+SAPIG0393	6225:1	x	L G:16
+SAPIG0397	3961:3	x	L G:16
+SAPIG0398	5764:3	x	L G:16
+SAPIG0399	4948:4	x	L G:16
+SAPIG0406	15370	x	L G:15_20
+SAPIG0470	5385	x	L G:16,17,19,20,78,83
+SAPIG0471	4999	x	L G:16,17,19,20,78,83
+SAPIG0475	7871	x	L G:16,17,19,20
+SAPIG0476	5274:3	x	L G:16,17
+SAPIG0481	6756	add	L G:16,17,19,20,116
+SAPIG0508	5873	x	L G:15_25
+SAPIG0865	12463	x	L G:16
+SAPIG1211	5652	x	L G:7,12,16,24,78,81,85,86
+SAPIG1249	9817	fmhC	L G:15_25
+SAPIG1318	7608	x	L G:15_25
+SAPIG1448	3757	x	L G:15_25
+SAPIG1495	4182	x	L G:16
+SAPIG1498	6225:2	x	L G:16
+SAPIG1506	13364:1	x	L G:16
+SAPIG1527	3472:2	x	L G:16
+SAPIG1534	3713:1	x	L G:16
+SAPIG1535	13759:1	x	L G:16
+SAPIG1846	12317	x	L G:16
+SAPIG1847	9618	x	L G:16,166
+SAPIG1849	5850	x	L G:16,166
+SAPIG1850	13423	x	L G:16
+SAPIG1851	5221	x	L G:16,229
+SAPIG1852	7799	x	L G:16,229
+SAPIG1853	8253	x	L G:16
+SAPIG1854	14587	x	L G:16
+SAPIG1856	14137	x	L G:16,229
+SAPIG1857	7169	x	L G:16,229
+SAPIG1858	14189	x	L G:16,229
+SAPIG1859	1681:5	x	L G:16
+SAPIG1860	1171	x	L G:16,229
+SAPIG1861	8299	x	L G:16,229
+SAPIG1862	8600:2	x	L G:16,166
+SAPIG1863	11096	x	L G:16
+SAPIG1864	10743	x	L G:16
+SAPIG1865	8663	x	L G:16
+SAPIG1866	9869	x	L G:16
+SAPIG2032	8855	x	L G:16
+SAPIG2043	8646:1	x	L G:16
+SAPIG2047	15441	x	L G:16
+SAPIG2080	8082	nrgA	L G:16_19,357
+SAPIG2081	11045	x	L G:16_19
+SAPIG2131	3511:1	x	L G:16,19,20,23_25
+SAPIG2200	8769	x	L G:15_25
+SAPIG2212	15626	x	L G:16
+SAPIG2533	7601	x	L G:15_25
+SAPIG2604	8260	x	L G:15_25
+SAPIG2709	14244	x	L G:15_25
+SAQG_00005	16027	x	L G:358
+SAQG_00356	16036	x	L G:215_224,226,229,230,233,236,239,240,246_248,250_256,259,261,262,264,272,274_277,281,285_287,290,293,295,297,301,306_308,310_315,317,320_323,325,329,330,332,333,335,336,340,343_351,353_360,363,364,366,367,369,371,375_377,379_384,386,388,390_394,396,400_407,409,418_421,424_426,431_438,440,448_457
+SAQG_00525	10671	x	G L:0_3,12,15_68,70_78,85_213
+SAQG_01160	14890	x	L G:358
+SAQG_01649	15894	x	L G:358
+SAR0001	3220	dnaA	G L:0_2,41,144,234
+SAR0003	4455	yaaA	G L:0_2
+SAR0005	1412	gyrB	G L:39,110,187
+SAR0006	108	gyrA	G L:146,213
+SAR0007	3121	dnaA	G L:0_2
+SAR0008	2164	hutH	G L:0_2
+SAR0009	190	serS	G L:7
+SAR0010	1313	azlC	G L:0_2
+SAR0011	2567	azlD	G L:0_3
+SAR0012	2377	metX	G L:0_2,90
+SAR0013	580	aroC	G L:0_2
+SAR0014	2501	x	G L:110
+SAR0015	3944	rplI	G L:89,109,110
+SAR0016	2091	dnaB	G L:144
+SAR0017	3246	purA	G L:4,110,210
+SAR0020	22	yycH	G L:0_2,119_121,213,425
+SAR0021	3305	yycI	G L:0_2,25
+SAR0022	337	yycJ	G L:377
+SAR0023	378	sasH	G L:0_2,213
+SAR0024	2783	rlmH	G L:0_2
+SAR0025	1736	ansA	G L:4_7,10,13_38,43_55,70_72,75_87,92,97_102,108,110,112_117,119_123,125,129_135,138_142,157,164,166_168,170_172,176,195_211,213,226,229,231_233,236,238,239,241_244,259,379,384
+SAR0026	6463	x	G L:0,4_7,10,13_38,43_55,70_72,75_88,92,95_105,109_117,119_123,125,126,129_135,137_160,164_172,176_178,188,194_211,213,215_219,225_229,231_234,236,238_244,259,276,337,357,358,361,363,365,367,374,377,384,389,417,426,443
+SAR0030	4619	x	G L:0,3_7,10_45,47_55,66,69_87,90_123,126_136,138_164,166_168,170_174,176_181,183,195_211,213_219,226,227,229_233,235_239,241_246,259,270,283_285,291,356,366,367,384_388,418,419,438
+SAR0031	3498	pre	G L:0,3_7,10_15,17_45,47_55,66,69_87,90_123,126_136,138_164,166_168,170_174,176_181,183,195_211,213_219,226,227,229_239,241_246,259,283_285,291,356,366,367,384_388,418,419,438
+SAR0031b	6944	x	G L:0,3_7,10_14,16_55,66,69_87,90_123,126_136,138_164,166_168,170_174,176_181,183,195_211,213_219,226,227,229_233,235_239,241_246,259,283_285,291,356,366,367,384_388,418,419,438
+SAR0032	1651	ble	G L:0,3_7,10_14,16_55,66,69_87,90_123,126_136,138_164,166_168,170_174,176_181,183,195_211,213_219,226,227,229_233,235_239,241_246,259,283_285,291,356,366,367,384_388,418,419,438
+SAR0033	3871	knt	G L:0,3_7,10_14,17_55,66,69_87,90_123,126_136,138_158,160_164,166_168,170_174,176_181,183,195_211,213_219,226,227,229_233,235_239,241_246,259,283_285,291,356,366,367,384_388,418,419,438
+SAR0034	369	tnp	G L:6,10,13,14,37,46,70,81_84,86,88,95,96,100,101,104,110,111,113,115,116,125,139_142,162,166,168,170,171,176,195_198,202,206_209,211,231_234,236,238,239,241_244,384,443
+SAR0036	9361	x	L G:1_3,12,15,16,18,20,39_42,53_69,73_77,91,93,94,97,105_109,118,120,123_129,131_134,136,143_156,158_161,163,164,173,174,177_181,198_202,204,214_225,230,234,235,237
+SAR0037	6520	ugpQ	G L:4_7,10,13,14,19,21_38,43_52,70_72,78_87,92,98_101,103,104,110_113,115_117,130,138_142,157,166_168,170_172,176,195_197,207_212,226,229,231_233,236,238,239,241_244,275,356,377,384
+SAR0038	8823	maoC	G L:4_7,10,13,14,19,21_38,43_52,70_72,78_87,92,98_101,103,104,110_113,115_117,130,138_142,157,166_168,170_172,176,195_197,207_212,226,229,231_233,236,238,239,241_244,275,356,384
+SAR0039	373	mecA	G L:4_7,10,13,14,19,21_38,43_52,70_72,78_87,92,98_101,103,104,110_113,115_117,130,138_142,157,166_168,170_172,176,195_197,207_211,226,229,231_233,236,238,239,241_244,275,356,384
+SAR0040	3941	mecR1	G L:0_7,10_55,69_118,130,136_164,166_173,176_219,226_244,275,356,384
+SAR0041	5704	mecI	G L:0_7,10_55,69_123,126_164,166_173,176_219,226_244,275,291,356,384
+SAR0042	10012	fudoh	G L:0_7,10_55,69_118,129,130,136_164,166_173,176_219,226_244,275,356,384
+SAR0046	6394	x	G L:0_7,10_55,69_118,121,130,136_164,166_173,176_219,226_244,275,356,384,436
+SAR0047	5771	x	G L:0_7,10_55,69_118,130,136_164,166_173,176_219,226_244,275,356,384
+SAR0049	3916:1	x	G L:0_7,10_29,32_36,38,40_45,47,49,50,52_55,69_118,128,136,138_163,166_173,177_206,208_213,226_244
+SAR0050	890	ermA	G L:0_7,10_29,32_36,38,40_45,47,49,50,52_55,69_118,128,136,138_163,166_173,177_206,208_213,226_244
+SAR0051	1806:1	ant(9)	G L:0_7,10_29,32_36,38,40_45,47,49,50,52_55,69_118,128,136,138_163,166_173,177_206,208_213,226_244
+SAR0052	2111:1	tnpC	G L:0_7,10_25,29,32_36,38,40_42,69,73_84,86_89,91_116,118,120,121,125,126,128,135,136,139_163,166_174,177_206,208_213,226_244
+SAR0053	2621:1	tnpB	G L:0_7,10_29,32_36,38,40_45,47,49,50,52_55,69,71_115,117,118,120,136,138_163,166_174,177_206,208_213,226_244
+SAR0054	4842	tnpA	G L:0_7,10_29,32_36,38,40_45,47,49,50,52_55,69,71_118,128,136,138_163,166_174,177_206,208_213,226_244
+SAR0056	102:1	x	G L:4_7,10,13,14,19,21_38,43_45,47_52,70_72,78,80_87,98_101,111_113,115,119_135,138_142,157,166_168,170_172,176,195_197,207_211,229,231_233,236,238,239,241_244,275,279,356,384
+SAR0057	1624	x	G L:4_7,10,13,14,19,21_25,28_38,43_45,47_52,70_72,78,80_87,89,98_101,111_113,115,124_128,130,138_142,157,166_168,170_172,176,195_197,207_211,229,231_233,236,238,239,241_244,275,279,356,384
+SAR0058	3573	x	G L:4_7,10,13,14,16_25,28_38,43_52,70_72,75_87,98_101,111_115,119_135,138_142,157,166_168,170_172,174,176,195_211,229,231_233,236,238,239,241_244,275,279,356,384
+SAR0059	3927	ccrB	G L:4_7,10,13,14,16_25,28_38,43_45,47_53,70_72,75_78,80_83,85_87,98_102,111_115,118,130,138_142,157,166_168,170_172,176,195_211,227,229,231_233,236,238,239,241_244,275,279,356,384
+SAR0060	2580	ccrA	G L:4_7,10,13,14,16_25,28_38,43_45,47_52,70_72,75_78,80_83,85_87,98_102,111_115,123,130,131,138_142,157,166_168,170_172,176,195_211,227,229,231_233,236,238,239,241_244,275,279,356,384
+SAR0061	2792	x	G L:1_7,10_38,41_52,69_73,75_78,80_87,92,97_116,118_162,164,166_168,170_172,174,176,195_211,213_219,226,229_239,241_244,275,279,326,356,384
+SAR0062	7549	x	G L:0_7,10_40,43_52,69_87,90_92,97_161,163,164,166_168,170_174,176_211,214_219,226_239,241_244,275,279,356,384
+SAR0063	8874	x	G L:0_7,10_40,43_52,60,64,69_87,89_92,96_161,163,164,166_168,170_174,176_211,214_219,226_244,246,275,279,317,356,384
+SAR0066	4291	pXO1-128	G L:2_7,10_38,40_55,69_73,78,80_116,118_162,164,166_174,176_212,214_219,227_244,275,279,356,384
+SAR0068	6251	kdpE	G L:0_7,10_55,69_164,166_174,176_219,226_244,275,279,356,384
+SAR0069	1827	kdpD	G L:0_7,10_55,69_164,166_174,176_219,226_244,275,279,356,384
+SAR0070	1442	kdpA	G L:0_7,10_55,69_164,166_174,176_219,226_244,275,279,356,384
+SAR0071	2960	kdpB	G L:0_7,10_55,69_164,166_174,176_219,226_244,275,279,356,384
+SAR0074	1999	cch	G L:0_7,10_55,69_164,166_174,176_219,226_244,275,279,356,384
+SAR0075	4233	x	G L:0_7,10_55,69_164,166_174,176_219,226_244,275,279,356,384
+SAR0076	6343	x	G L:0_7,10_55,69_164,166_174,176_219,226_244,279,356,384
+SAR0077	10348	x	G L:0_7,10_55,69_164,166_174,176_219,226_244,266,279,356,384
+SAR0078	11975	x	G L:0_7,10_55,69_164,166_174,176_219,226_244,266,279,356,384
+SAR0079	1318	x	G L:0_7,10_55,69_164,166_174,176_219,226_244,279,356,384
+SAR0080	12050	x	L G:29_34,36_38,42_45,47,49_52,55_57,59,62,63,65_68,135
+SAR0081	417	x	L G:5_25,29_45,47_52,55_72,78_83,88_91,135
+SAR0082	2802	x	G L:0_4,6,15_28,39,46,53,54,69_86,93_96,98,99,102_134,136_212
+SAR0084	11792	x	L G:30,39,41_43,48,50,51,55_68,135
+SAR0086	5791	x	L G:29_45,47_52,55_68,135
+SAR0087	6094	mcrB	L G:29_68,100,101,119,120,122_135,208,209
+SAR0088	2107	x	L G:29_68,100,101,119_125,127_135,208,209
+SAR0090	9049	srrA	L G:4,5,29_68,119_125,127_135
+SAR0092	4295	yycJ	L G:4_7,16_25,27_69,85,119_125,127_135
+SAR0093	4296	sasH	L G:4_7,16_25,27_69,85,119_125,127_135
+SAR0094	2526	lmrB	L G:4_7,16_25,29_52,54_69,85,119_125,127_135
+SAR0097	6942	scpA	L G:4_7,16_25,27_69,85,119_125,127_135
+SAR0098	3144	x	L G:4,5,8_14,16_26,28_68,71_77,86,97,100,101,103_111,113_115,120_125,127_135,208,209
+SAR0099	1372	dus	G L:99,126,206,213,228,234,294,356,459
+SAR0100	6096	x	L G:16_25,29_68,119_123,127_131,133_135
+SAR0101	3381	tFox	G L:0_2,126,294,356,459
+SAR0102	401	x	G L:0_2,26_28,71_80,84_86,294,356,459
+SAR0103	42:1	x	G L:0_5,8_14,16_28,69,78_80,84_86,97_102,112_115,146,208_212,294,356,459
+SAR0104	157	x	G L:0_2,294,356,459
+SAR0105	2105	plc	G L:0_2,104,116,294,356,370_373,417,459
+SAR0106	93	x	G L:0_2,228,294,356,459
+SAR0107	1493	zwf	G L:0_2,52,69,294,356,459
+SAR0108	3312	hipO	G L:0_2,294,356,459
+SAR0109	1707	norB_3	G L:0_2,7,294,316,356,459
+SAR0110	1241	nptA	G L:0_2,110,120,121,211,294,356,459
+SAR0111	754	x	G L:0_3,110,121,127,128,153,154,158,168,213,226,294,356,459
+SAR0112	4443	marR	G L:0_2,294,459
+SAR0113	183	lctP	G L:0_2,34,214,294,459
+SAR0114	700	spa	G L:0_2,294,459
+SAR0115	2249	sarS	G L:0_2,260
+SAR0116	1939	sirC	G L:0_2,260
+SAR0117	1848	sirB	G L:0_2,260
+SAR0118	3236	sirA	G L:0_2,232,260
+SAR0119	3322	sbnA	G L:0_2,260
+SAR0120	950	sbnB	G L:0_2,260
+SAR0121	2076	sbnC	G L:0_2,119,120,260
+SAR0122	618	sbnD	G L:0_2,260
+SAR0123	1780	sbnE	G L:0_2,260
+SAR0124	485	sbnF	G L:0_2,120,122,260
+SAR0125	785	sbnG	G L:0_2,260
+SAR0126	888	sbnH	G L:0_2,53,120,121,129,213,260
+SAR0127	638	sbnI	G L:0_2,89,260
+SAR0128	2100	recN	G L:0_3,69_84,110,118,248
+SAR0129	2134	budC	G L:0_2,10,41
+SAR0130	2108	galE	G L:0_2,16,79
+SAR0131	1976	cap5M	G L:0_2,123,144,297
+SAR0132	495	cap8H	G L:0_2
+SAR0133	2057	cps2H	G L:0_2,80,267_269
+SAR0134	2943	x	G L:0_2,71
+SAR0135	3040	sodM	G L:0_2
+SAR0136	5569	sasD	G L:0_2,6,7,71_77,79,80,83_91
+SAR0137	846	xylR	G L:0_2
+SAR0138	1527	deoD	G L:0_2,25
+SAR0139	794	tet38	G L:0_3,144
+SAR0140	631	deoC	G L:0_2,4,87,98,108,111,129,143,147,161,162,167,172,176,177,211,213,214,233,234,242,244,276,285,357,358,363,417
+SAR0141	397	deoB	G L:0_2,41,176
+SAR0142	1211	phnE_2	G L:0_2
+SAR0143	2362	phnE_1	G L:0_2,26,78,81,82
+SAR0144	596	phnC	G L:0_2,375
+SAR0145	1599	phnD	G L:73,358
+SAR0146	18	x	G L:0_2,66,69,120
+SAR0147	2696	cpdB	G L:0_2
+SAR0148	3296	x	G L:0_14,85_96,100_111,136_194,210_212
+SAR0149	3169	gcvT	G L:0_14,87_96,100_111,136_194,210_212,226
+SAR0150	1603	adhE	G L:0_2,7,52,234
+SAR0151	688	cap8A_1	G L:0_2,106_108
+SAR0152	4654	capB	G L:0_2
+SAR0153	3821	capC	G L:0_2,246
+SAR0154	303	capD	G L:0_2,23,245
+SAR0155	1886	capE	G L:0_2,89,109,110,162,245
+SAR0156	744	capF	G L:0_2
+SAR0157	928	capG	G L:0_2,149
+SAR0158	2837	cap8H	L G:3_14,26_51,53_70,73_78,80_83,92_94,96_99,103_109,111_115,119_135,195_197,208,209
+SAR0159	2351	cap8I	L G:3_14,26_70,73_78,80_83,92_99,103_115,119_135,195_197,208,209
+SAR0160	414	cap8J	L G:3_14,26_47,49_52,54_70,73_78,80_83,92_94,96_99,103_115,119_135,195_197,208,209
+SAR0161	2471	cap8K	L G:3_14,26_70,73_78,80_83,92_94,96_99,103_115,119_135,195_197,208,209
+SAR0162	984	capL	G L:0_2,71,385
+SAR0163	3050	capM	G L:0_2
+SAR0164	1067	capN	G L:0_2
+SAR0165	1839	wecC	G L:0_2
+SAR0166	2806	capP	G L:0_2
+SAR0167	1358	isdI	G L:0_2,52,78
+SAR0168	1319	x	G L:0_2,25,110
+SAR0169	2196	aldA	G L:0_2,52
+SAR0170	572	x	G L:0_3,144,213,439
+SAR0171	4032	x	G L:0_3
+SAR0172	1955	srpF	G L:0_2,123
+SAR0173	2565	tauB	G L:0_2,231,383
+SAR0174	2013	tauA	G L:0_3,27
+SAR0175	74	x	G L:0_3,419
+SAR0176	2297	dnaG	G L:0_2,214
+SAR0177	1323	x	G L:0_2,8_14,69_86
+SAR0178	486	fdh1	G L:0_2,8_14,39,45,69_77,79_86,228,229
+SAR0179	3768	glyS	G L:0_2,4,110
+SAR0180	194	ausA	G L:0_3,39,117
+SAR0181	5635	acpS	G L:0_2,38,258
+SAR0182	4271	cadC	G L:0_2
+SAR0183	4750	argB	G L:0_3
+SAR0184	1367	argJ	G L:0_2
+SAR0185	1798	argC	G L:0_2,78
+SAR0186	104	rocD_1	G L:0_2,120,121,228
+SAR0187	2848	brnQ_1	G L:0_2
+SAR0188	1053	entB	G L:0_2,70,407
+SAR0189	1653	kdcA	G L:0_2,121
+SAR0190	1925	ptsG	G L:0_2,41,228
+SAR0191	864	dgkA	G L:0_2
+SAR0192	136	murQ	G L:0_2,232
+SAR0193	1369	sacX	G L:0_2,8,30,41,119,368
+SAR0194	3198	x	G L:0_2,404
+SAR0195	7028	x	G L:0_3,15_25,70_77,79,83,84,87_92,97_99,118,195_197
+SAR0196	559	hsdR	G L:0_2
+SAR0197	3839	sepS16A	L G:4_74,76,77,79_99,102,112_115,119_206,208_212
+SAR0198	1142	nikE	G L:0_2,78,110,120,260
+SAR0199	1779	oppB	G L:0_2
+SAR0200	1565:1	x	G L:0_2,65
+SAR0201	1420	rlp	G L:0_2,109,276
+SAR0202	1066	ggt	G L:0_2,55
+SAR0203	1213	azoR2	G L:0_2,95
+SAR0204	1814	dnaJ	G L:0_2
+SAR0205	3567	msmX	G L:0_2
+SAR0206	3512	grpE	G L:0_2
+SAR0207	2706	malC	G L:0_2,134,167
+SAR0208	918	malD	G L:0_2
+SAR0209	160	x	G L:0_2
+SAR0210	3304	mviM	G L:0_2
+SAR0211	820	iolE	G L:0_2,146,213
+SAR0212	932	x	G L:0_2,131
+SAR0213	2488	uhpT	G L:1,2
+SAR0214	3344	x	G L:0_2,89
+SAR0215	1013	walK	G L:0_2,41
+SAR0216	3947	x	G L:0_3,14,41,126_128
+SAR0218	1938	pflA	G L:0_2
+SAR0219	8680	x	L G:26_39,41_68,119_135
+SAR0220	383:1	glpQ1	G L:0_2,7,70,86,227
+SAR0221	2363	x	G L:0_3,82
+SAR0222	372	coa	G L:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+SAR0223	1507	fadA	G L:0_2,89,119,121,213
+SAR0224	771	fadB	G L:0_2,96,109
+SAR0225	2937	fadD	G L:0_2,78,119,121,213
+SAR0226	1081:1	fadE	G L:0_2,121
+SAR0227	483	fadX	G L:0_2,17,41,121
+SAR0228	973	pdxT	L G:4_68,87_91,119_135
+SAR0229	2447	x	G L:0_2
+SAR0230	1524:1	x	G L:0_2,58,144
+SAR0231	4604	x	G L:0_3,16,69,82,113_115,210
+SAR0232	1245	x	L G:15_68,97,102,119_135
+SAR0233	2590	yhb1	G L:0_2,7
+SAR0234	276	ldh1	G L:0_2
+SAR0235	402	ptsG_1	G L:0_2,228
+SAR0236	972	rihA	G L:0_2,167,213,366,367
+SAR0240	1591	mtn	G L:0_2,6,7,41
+SAR0241	3688	gatB	G L:0_2,6,7
+SAR0242	3621	gatC	G L:0_2,6,7,31,148,427_430
+SAR0243	1103	gutB	G L:0_2,6,7
+SAR0245	1579	gatD	G L:0_2,6,7,213,228,229
+SAR0246	947	ispD1	G L:0_2,6,7,11,122,123
+SAR0247	1019	tarJ2	G L:0_2,6,7,228
+SAR0248	1432	tarK	G L:0_2,6,7,39,53,114,161,162,214,228,293
+SAR0249	7987	x	L G:28,32,34,42,45,46,48,50,51,54_66,68,81,83,87_92,97,101,102,104_110,112,116,118,122_124,127_129,131_136,138_146,148_161,163_166,168_170,173_175,178_194,210_212
+SAR0251	1625	tagF	G L:0_2,6,7
+SAR0252	3261	ispD2	G L:0_2,6,7,73
+SAR0253	1981	tarJ	G L:0_2,6,7,228
+SAR0254	2291	tarL	G L:0_2,6,7,17,39,53,95,162,207,214,228,280
+SAR0255	34	x	G L:0_2,6,7,47,83,130,171
+SAR0256	759	ric	G L:0_3
+SAR0257	579	lytS	G L:0_2
+SAR0258	1384	lytR	G L:0_2
+SAR0259	4324	lrgA	G L:0_2
+SAR0260	3165	lrgB	G L:0_2
+SAR0261	697	norB	L G:15_69,79_91,120_135,198_206
+SAR0262	374	x	G L:0_3,73
+SAR0263	1775	ptbA	G L:0_3
+SAR0264	1062	bglA	G L:0_2,89,324
+SAR0265	1531	ubiE	G L:0_3
+SAR0266	3183	rbsK	G L:0_2,119_121,213
+SAR0267	3020	rbsD	G L:0_2,121,172
+SAR0268	4667	rbsU	G L:0_2,49
+SAR0269	3920	rbsR	G L:0_2,229
+SAR0270	420	mnmA	G L:0_2,4_14,79,95,100,102,116_118
+SAR0271	1784	x	G L:0_2
+SAR0272	843	x	G L:0_2,79
+SAR0273	1448	lytM	G L:0_2
+SAR0274	750	x	G L:0_2,137
+SAR0275	550	x	G L:0_2
+SAR0276	2025	x	G L:0_2
+SAR0277	1345	x	G L:0_2
+SAR0278	2324	ssaA	G L:0_2,78,148
+SAR0279	3789	esxA	G L:0_2,148
+SAR0280	593	esaA	G L:0_2,148
+SAR0281	3347	essA	G L:0_2,78,86,89,109,110,148
+SAR0282	5907	esaB	G L:0_2,148
+SAR0283	1070	essB	G L:0_2,148,225,260,261,279,358
+SAR0284	1108	essC	G L:0_2,79,86,121,148,198
+SAR0285	2956	hisS	L G:26_68,71_77,84_86,98,99,119_135,198_206,208,209
+SAR0286	4968	x	L G:26_68,71_77,85,86,98,99,119_135,198_206,208,209
+SAR0287	2665	x	L G:26_68,71_77,84_86,98,99,119_135,198_206,208,209
+SAR0288	3004	relA	L G:26_68,71_77,85,86,119_135,208,209
+SAR0289	4875	apt	L G:26_68,71_77,84_86,98,99,119_135,198_206,208,209
+SAR0290	6510	recJ	L G:26_68,71_77,84_86,98,99,119_135,198_206,208,209
+SAR0291	2931	secDF	L G:3_14,26_69,71_78,83_86,97_99,102,112_147,149_194,198_206,208_212
+SAR0292	4261	x	G L:0_14,70,78_83,87_91,97,100,101,103_112,118,173,174,177,210_212,236
+SAR0294	0:1	queA	G L:0_2
+SAR0299	3092	x	G L:0_2,309,454
+SAR0301	902	x	G L:0_2,29,35,86,110,176,234,247,258,259,309,454
+SAR0302	1914	fnt	G L:0_2,85,309,454
+SAR0303	460	brnQ_2	G L:0_2,309,454
+SAR0304	670	x	G L:0_2,89,110,309,454
+SAR0305	98	x	G L:0_2,153,154,158,309,454
+SAR0306	1683	lolD	G L:0_2,98,119_121,145,280,309,454
+SAR0307	2731	pfoR_2	G L:0_2,309,454
+SAR0308	3470	x	G L:0_2,96,223,309,454
+SAR0309	2579	psuG	G L:0_2,309,454
+SAR0310	70	nupC	G L:0_2,226,309,454
+SAR0311	3162	x	G L:0_2,309,454
+SAR0312	1481	nanA	G L:0_2,39,309,454
+SAR0313	1818	tnpC-3	G L:0_3,309,454
+SAR0314	3057	rpiR	G L:0_2,309,454
+SAR0315	245	nanE	G L:0_2,309,454
+SAR0316	755	sirA	G L:0_3,92,97,120,227,309,454
+SAR0317	1426	lip2	G L:0_2,45,49,119_121,123,130_133
+SAR0318	4336	sbnA	G L:0_2,51,110,118
+SAR0319	2490	yqiG	G L:0_2,51
+SAR0320	426	x	G L:0_2,26,51,52,73,180
+SAR0321	1908	x	G L:0_2,51
+SAR0322	900	folC	G L:0_2,51,419
+SAR0323	1723	valS	G L:0_2,51
+SAR0324	1436	lplA1	G L:0_2,41,51,121
+SAR0325	1316	x	G L:0_2,4_14,51,69,71_86,121
+SAR0326	3108	ulaA	G L:0_2,51,129
+SAR0327	2112	x	G L:0_2,51
+SAR0328	469	x	G L:0_2,51
+SAR0329	552	x	G L:0_2,51,122
+SAR0330	911	mepR	G L:0_3,51,99
+SAR0331	1308	mepA	G L:0_2,51,79
+SAR0332	2034	mepB	G L:0_3,29,31_38,51,279
+SAR0333	741	glpT	G L:0_2,51,134,220_222
+SAR0334	159	gloA	G L:0_2,51
+SAR0335	286	hemC	G L:0_2,51,114
+SAR0338	766	yeiH	G L:0_2,12,51,120,213
+SAR0339	5226	ydaF	G L:0_2,8,9,51,145
+SAR0340	2873	clpX	G L:0_2,51,101,118_121,130_133,137,241
+SAR0341	1640	fepB	G L:0_2,51,78
+SAR0342	1158	fepC	G L:0_2,51
+SAR0343	1486	tatC	G L:0_2,51,213,382
+SAR0344	2170	tatA	G L:0_3,51,92,213,234
+SAR0345	1239	x	G L:0_2,51,120,213
+SAR0346	1184	x	G L:0_2,92_97,100_102,112_197,207,210_212
+SAR0347	2269	x	G L:0_2,14
+SAR0348	939	rplT	G L:0_2,7,237
+SAR0349	1636	rpmI	G L:0_2,134,289,290
+SAR0350	992	ltrA	G L:0_2,85,86
+SAR0351	1657	thlA	G L:0_2
+SAR0352	3122	x	G L:0_2,137,211
+SAR0353	1317	metE	G L:131
+SAR0354	339	metH	G L:0_2,37,88
+SAR0355	1380	metC	G L:0_2,8,9,211,417
+SAR0356	758	metB	G L:0_2
+SAR0357	78	spo0J	G L:0_2,73
+SAR0358	479	mscS	G L:0_2,89,130,379
+SAR0359	2824	x	G L:0_3,24,42,69,76,87,92_111,116_212,232,241,246,248
+SAR0360	3684	ychF	G L:89
+SAR0361	3125	sodA1	G L:0_3,73_77
+SAR0363	3645	ssb	G L:0_2,79
+SAR0365	5063	x	L G:11,27,28,43,44,47_50,52_68,124,125,175,306
+SAR0366	261	x	L G:11,14,26_28,43,44,47_68,72,80_82,85,100,124,125,127,128,165,169,173,175_179,182,187_194,228,306
+SAR0367	2167	x	L G:11,27,28,47_50,52_68,124,125,175,306
+SAR0368	10054	x	L G:11,27,28,47_50,52_54,56_68,124,125,175,306
+SAR0369	3098	scrR	L G:6,7,11,26_28,43,44,47_50,52_68,72_77,79_82,85,100,101,113,120,124,126_129,131_133,135,136,143,145_158,160_163,165,168,169,171,172,175,178_192,194,213,228,232,306
+SAR0370	8060	x	L G:11,28_42,48_50,53_68,81,98,99,122_124,127,128,134,143,145_158,160_163,167,173_175,237,240,241,265_271,274,278,298,306,357,384
+SAR0372	6174	x	L G:6,7,11,27_42,46_68,71,78,81,85,98_101,116,122_125,127,128,134,143,145_158,160_163,167,173_175,211,226,232,237,240,241,265_271,274,278,298,306,357,384
+SAR0373	4439	x	L G:7,11,14,27,28,47,49,50,52_68,80_82,85,86,116,124,125,127,128,175,220_224,235,306
+SAR0374	3793	x	L G:7,11,14,26,28_45,48_51,53_66,68,70,71,78,80_82,85,86,98,99,116,122,123,126_128,134,167,174,175,214,220_224,228,229,237,274,278,298,306,357,384
+SAR0375	1913:1	x	L G:7,11,14,26,28_45,48_51,53_68,70,71,78,80_82,85,86,98,99,116,122,123,126_128,134,167,174,175,214,220_224,228,229,237,274,278,298,306,357,384
+SAR0376	331	x	L G:7,11,14,26,28_45,48_68,70,71,78,80_82,85,86,98,99,116,122,123,126_128,134,167,174,175,214,220_224,228,229,237,274,278,298,306,357,384
+SAR0377	2152	x	L G:6,7,11,13,14,26_42,45_68,70_82,84_86,98_101,113,116_118,120,122_124,126_129,131_136,165,167_169,171_175,177_192,194,198_203,205,206,211,214,220_226,228,229,232,235,237,240,241,265_271,274,278,298,306,357,384
+SAR0378	2685	gcp	L G:6,7,11,14,26_68,71_82,84,86,98_101,116_118,120,122_124,126,127,129,131_136,165,167_169,171_175,178_188,190,192,211,220_226,228,229,232,237,265_271,274,278,298,306,357,384
+SAR0379	7120	rimJ	L G:11,27,28,47_50,53_55,57_68,80,85,86,100,124_127,175,176,225
+SAR0380	2318	accA	L G:6,7,11,13,14,26_68,70_82,84_86,98_101,113,116_118,120,122_124,126,127,129,131_136,165,167_169,171_175,177_188,190,192,198_203,205,206,211,213,220_226,228,229,232,235,237,240,241,265_271,274,278,298,306,357,384
+SAR0381	727	accD	L G:6,7,11,13,14,26,28_38,40_68,70_82,84_92,98_111,113,116_194,198_203,205,206,211,213,214,220_226,228,229,232,235,237,240,241,265_271,274,278,298,306,357,384
+SAR0382	2075	ilvD	L G:4_14,26_68,70,72_82,84,86_92,98_111,113,116_124,126_172,174_194,198_203,205,206,211,213,214,220_226,228,229,235,237,240,241,265_271,274,278,298,306,357,384
+SAR0383	2996	x	L G:7,11,27,28,43_45,47_68,101,110,113,124,125,143,145_158,160_163,165,173,175,198_203,205,206,213,214,220_222,224,225,298,306,384
+SAR0384	4807	x	L G:11,27,28,43,44,47_68,81,82,124,125,175,177_179,182,187_194,214,237,306
+SAR0385	8641	x	L G:11,27,28,43,44,47,49_68,78,81_83,92,97,116,124,175,177_179,182,187_194,214,237,298,306
+SAR0386	610	x	L G:4_14,26_68,81_83,93,94,96,98,99,112_115
+SAR0389	1370	x	G L:0_3,79
+SAR0390	1796	x	G L:0_2,82,241
+SAR0391	1143	x	G L:0_2
+SAR0392	2300	ydaS	G L:0_2
+SAR0393	267	x	G L:0_3,15_25,42,70_72,83,87_92,100_102,109,379
+SAR0394	1458	ald2	G L:0_2,166
+SAR0395	61	x	G L:0_2,80_82
+SAR0396	1788	x	G L:0_2
+SAR0397	3679	x	L G:3,15_70,73_77,85_92,97_118,207_212
+SAR0400	381	nfrA	G L:0_2,279
+SAR0401	411	tcyP	G L:0_2,119
+SAR0402	13302	x	L G:26_30,32_35,37,38,40,42,45_52,54_68
+SAR0403	494	capB	G L:0_2,43,49
+SAR0404	2633	capC	G L:0_2,357
+SAR0405	1248	yflT	G L:0_2,120
+SAR0406	539	xpt	G L:0_2,150
+SAR0407	269	pbuX	G L:0_2,110,121,213
+SAR0408	72	guaB	G L:7,347,348
+SAR0409	1390	guaA	G L:73
+SAR0411	179	x	G L:0_14,70_78,87_101,103_111,198_212
+SAR0414	10994	x	L G:26_68
+SAR0416	5265	x	L G:26_68
+SAR0420	235	x	G L:0_2
+SAR0421	1689	argJ	G L:0_2
+SAR0422	2019	set6	G L:0_2
+SAR0423	2961	set7	G L:0_2,168
+SAR0424	293	sl11	L G:4_20,22_38,40,42_68,85,87,88,90,91
+SAR0425	1797	set8	G L:0_2,6,7,15_25,27,39,41,53,85,87_91,125,130,162,167,177_194,228,245
+SAR0427	1682	set3	G L:0_2,39,136,279
+SAR0428	2775	set1	G L:0_2,8_12,39,53,79,81,82,119,125,136,213
+SAR0429	295	set13	G L:0_3,69,79,80,119_121
+SAR0431	2098	set5	G L:0_3,137
+SAR0434	4088	hsdS	G L:0_25,69_97,102_118,135,195_212,215_219,230
+SAR0435	2267	set15	G L:0_3,6,7,70_77,80,83,85_91,93_96,98,99,102,110,112_194,198_206
+SAR0436	1086	x	G L:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+SAR0437	964	argC	G L:0_2,220_222
+SAR0438	1015:1	lpl2	G L:0_2,29_38
+SAR0444	2372	lpl8	G L:0_2,29_38,95,98,99
+SAR0445	4845	x	L G:4_14,26_28,39_68,70,79
+SAR0447	3180	murC	G L:0_3,258_261
+SAR0448	384	x	G L:0_3,69,71_78,85,86,92_97,100_102,116_118,195_206
+SAR0449	1721	x	G L:0_2
+SAR0450	734	cobW	G L:0_2,167
+SAR0452	1731	ndhF	G L:0_2
+SAR0453	294	x	G L:0_2,206
+SAR0454	5045	x	G L:0_2
+SAR0455	695	x	G L:0_3
+SAR0456	895	x	G L:0_2,110,119,213,234
+SAR0457	676	est	G L:0_2
+SAR0458	514	x	G L:0_2,109
+SAR0459	482	mccA	G L:0_2,165
+SAR0460	2118	mccB	G L:0_2
+SAR0461	1410	metN	G L:0_2,258_261
+SAR0462	1630	metI	G L:0_2,110,274
+SAR0463	282	x	G L:0_2,98,99
+SAR0464	704	sle_2	G L:0_2
+SAR0465	621	x	G L:0_3,144,267_269
+SAR0466	1295	x	G L:0_3
+SAR0467	1088	x	G L:0_3
+SAR0468	1418	x	G L:0_2,7
+SAR0469	1672	x	G L:0_2,79
+SAR0470	875	gltC	G L:0_2
+SAR0471	1669	gltA	G L:0_2,41,119,120
+SAR0472	1590	gltD	G L:0_2,213,230
+SAR0473	1909	treP	G L:0_2
+SAR0474	1521	treC	G L:0_2
+SAR0475	442	treR	G L:0_2
+SAR0476	590	rot	G L:0_2
+SAR0477	507	dnaX	G L:0_2
+SAR0478	2357	x	G L:0_2
+SAR0482	2628	ldcC	G L:0_2,54,119,121
+SAR0483	2661	tmk	G L:0_2,54
+SAR0484	3936	ribA	G L:0_2,54
+SAR0485	2207	holB	G L:0_2,54,73,81,82,234
+SAR0486	206	yaaT	G L:0_2,54
+SAR0487	3708	yabA	G L:0_2,54
+SAR0488	859	arsB	G L:0_2,54
+SAR0489	2307	arsC	G L:0_3,54
+SAR0490	894	rsmI	G L:0_2,54,89,110
+SAR0491	747	metG	G L:54,73
+SAR0492	2998	tatP	G L:0_2,54
+SAR0493	1021	rnmV	G L:0_2,54,73,76,98,101,123,143,145,150,246
+SAR0494	238	ksgA	G L:0_2,54,109,110,119
+SAR0495	2681	veg	G L:0_2,54
+SAR0496	1356	ispE	G L:0_2,54,121
+SAR0497	3445	purR	G L:54,110
+SAR0498	1168	yabJ	G L:0_2,54
+SAR0499	1757	spoVG	G L:54,112
+SAR0500	623	glmU	G L:0_2,14,54
+SAR0501	5180	prs	G L:54,234
+SAR0502	3780	rplY	G L:54
+SAR0503	4724	pth	G L:0_2,54
+SAR0504	1514	mfd	G L:0_2,54,120,121
+SAR0505	815	x	G L:0_2,54,119,213
+SAR0506	145	mazG_1	G L:0_2,54
+SAR0507	3534	x	G L:0_3,54
+SAR0508	5125	divIC	G L:0_2,48,54,109
+SAR0509	4220	x	G L:0_2,54
+SAR0510	1526	tilS	G L:0_2,7,54
+SAR0511	2262	hpt	G L:0_2,54
+SAR0512	2346	ftsH	G L:14,54
+SAR0513	616	hslO	G L:0_2,54
+SAR0514	113	cysK	G L:54,110
+SAR0515	1309	folP	G L:0_2,54
+SAR0516	1429	folB	G L:0_2,54
+SAR0517	4067	folK	G L:0_3,54
+SAR0518	54	lysS	G L:0_2,54,82,145
+SAR0520	2738:1	x	L G:15_28,30_68,80,81,83,84,87,88,90_92
+SAR0521	3410	x	G L:0_2,43,285
+SAR0522	2487	pdxS	G L:0,78
+SAR0523	8	pdxT	G L:0_2
+SAR0524	816	nupC	G L:0_2
+SAR0525	2814	ctsR	G L:0_2
+SAR0526	2771	cstR	G L:0_2,7
+SAR0527	1606	hsdS	G L:0_2,417
+SAR0528	412	clpC	G L:120,228
+SAR0529	647	radA	G L:2
+SAR0530	3762	splC	G L:0_2,296
+SAR0532	199	cysE	G L:0_2
+SAR0533	2178	cysS	G L:144,145
+SAR0534	4655	cysS	G L:0_3
+SAR0535	1665	yacO	G L:0_2
+SAR0536	5083	bsaF	G L:0_2
+SAR0537	3172	sigH	G L:0_3
+SAR0539	325	secE	G L:0_2,125,169
+SAR0545	853	rplL	G L:78
+SAR0546	3516	lukE	G L:0_3,73,76,87_89,100,109,110,116,118,145,211,241,246
+SAR0549	5235	rplL3	G L:0_2
+SAR0550	4620	rpsL	G L:89
+SAR0553	1727	tuf	G L:232
+SAR0554	1270	x	G L:0_2,81,120,121,176
+SAR0555	2101	kbl	G L:0_2
+SAR0556	222	hchA	G L:0_2
+SAR0557	491	araB	G L:0_2
+SAR0558	3302	capD	G L:0_2
+SAR0559	4567	ilvE	G L:0_2,14
+SAR0560	961	cbf1	G L:0_2
+SAR0561	3170	dck	G L:0_2,120
+SAR0562	1572:1	dgk	G L:0_2,89,119
+SAR0563	4131	tadA	G L:0_2,78
+SAR0564	1456	x	G L:0_2,53
+SAR0565	2547	azo	G L:0_2
+SAR0567	73:1	clfA	G L:0_2
+SAR0568	1004	x	G L:0_2,82,232,294
+SAR0569	1246	x	G L:0_2,7,14,73,88,100,374
+SAR0571	1688	bshB2	G L:0_2
+SAR0572	1489	x	G L:0_2
+SAR0573	1037	nagB	G L:0_2
+SAR0575	2719	hxlB	G L:0_2
+SAR0576	985	x	G L:0_2
+SAR0577	470	proP	G L:0_2,7,85,86,234
+SAR0578	2745	x	G L:0_3,69_84
+SAR0580	1977	vraA	G L:0_3,113
+SAR0581	1924	vraB	G L:0_3
+SAR0582	2127	vraC	G L:0_3
+SAR0583	264	x	G L:0_3
+SAR0584	8894	vraX	L G:26_28,39_68
+SAR0585	351	pdxK	G L:0_2
+SAR0586	651	ung	G L:0_2
+SAR0587	1685	x	G L:0_3
+SAR0588	2149	x	G L:0_2
+SAR0589	1179	x	G L:0_2,34,123
+SAR0590	1558	x	G L:0_2,169
+SAR0591	1530	x	G L:0_2,7,52,111,116,118,264,389
+SAR0592	6107	x	G L:0_3,10,74_77,95,101,139,227,233,236,298,390_393
+SAR0593	4089	ywfI	G L:0_2,14
+SAR0594	2245	pta	G L:89,123
+SAR0595	674	lipL	G L:0_2
+SAR0596	3686	mvk	G L:0_2,121
+SAR0597	1145	mvaD	G L:0_2,146,175
+SAR0598	83	mvaK2	G L:0_2,53,119,199,248
+SAR0599	3842	ywzC	G L:0_2
+SAR0600	203	merA	G L:0_2,94,229
+SAR0601	273	x	G L:0_2,76,79,89
+SAR0602	501	x	G L:0_2,39,114
+SAR0603	2081	x	L G:16_21,23_69,78,83,85,86,92,97_99,101,103_108,111,116,117,119_125,129_209
+SAR0604	5901	x	L G:15_28,39_69,83,97,100,101,103,105_111,116_119,121_125,129_209
+SAR0607	3482	x	G L:0_2,15_25,29,70_78,80_82,85,86,92,95,97_101,103_111,116_209,234,304,409
+SAR0608	3707	iolS	G L:0_2,69,72
+SAR0609	2912	ywqN	G L:0_2,72
+SAR0610	880	x	G L:0_2,72
+SAR0611	4002	x	G L:0_2,72,98,121,122,234
+SAR0612	1540	x	G L:0_2,121,177
+SAR0613	2281	adhP	G L:0_2,7
+SAR0614	2197	x	G L:0_2
+SAR0615	2029	argS	G L:13
+SAR0617	115	x	G L:0_2,11,99
+SAR0618	466	yvrC	G L:0_2,48
+SAR0619	1063	fecD	G L:0_3,53
+SAR0620	1560	vraS	G L:0_2,123
+SAR0621	2155	x	G L:0_2,121
+SAR0622	1799	x	G L:0_2,122
+SAR0623	427	x	G L:0_2,10
+SAR0624	737	x	G L:0_2
+SAR0625	3803	sarA	G L:0_2,150
+SAR0626	404	x	G L:0_3,14,26,70_72,409,410
+SAR0627	2145	x	G L:0_3,391_393
+SAR0629	3856	x	G L:0_3
+SAR0630	1620	mrpA	G L:0_2,15
+SAR0631	3788	mrpB	G L:0_3,7
+SAR0632	2460	mrpC	G L:0_3,438
+SAR0633	844	mnhD_1	G L:0_2,176,234
+SAR0634	4559	mnhE	G L:0_2
+SAR0635	1607	mnhF2	G L:0_3
+SAR0637	897	gatB	G L:0_2,74,85,89,242_244,295,403
+SAR0638	4775	x	L G:3,26_45,47_68
+SAR0641	4905	psaA	G L:0_2,39
+SAR0642	4521	mtsC	G L:0_2
+SAR0643	4152	mntA	G L:0_2,111
+SAR0644	1857	sirR	G L:0_2,73,120,213
+SAR0645	85	x	G L:0_3,150,279
+SAR0646	1378	tagA	G L:0_2
+SAR0647	477	tagH	G L:0_2,120,121,213
+SAR0648	213	tagG	G L:0_2,119,211
+SAR0649	655	tagB	G L:0_3
+SAR0650	723	tagX	G L:0_3,120,121,213
+SAR0651	8133	tagD	G L:0_3,88
+SAR0652	1272	pbp4	G L:0_2,119
+SAR0653	1003	bmrA	G L:0_2,34,48
+SAR0655	3182	nupG	G L:0_2,144
+SAR0656	1461	purB	G L:0_2
+SAR0657	2494	fhuC	G L:0_2
+SAR0658	3161	fhuB	G L:0_2,81,82
+SAR0659	711	fhuG	G L:0_2
+SAR0660	2627	dhaK	G L:0_2
+SAR0661	1349	dhaL	G L:0_3
+SAR0662	1299	dhaM	G L:0_3
+SAR0664	1567	x	G L:0_2
+SAR0665	1286	lipA	G L:0_2,85,121,379
+SAR0666	1326	x	G L:0_3
+SAR0667	665	x	G L:0_2,89
+SAR0668	3675	x	G L:0_2
+SAR0669	174	graR	G L:53
+SAR0670	1339	graS	G L:0_2
+SAR0671	1035	vraF	G L:0_2
+SAR0672	355	vraG	G L:0_2
+SAR0674	2486	pitA	G L:0_2
+SAR0675	3982	sle_1	G L:0_2,88
+SAR0676	1840	x	G L:0_3,95,236
+SAR0679	712	sarX	G L:0_2,95,458
+SAR0680	2694	yeeN	G L:146
+SAR0681	3328	x	G L:0_3
+SAR0682	648	x	G L:0_2
+SAR0684	2688:1	x	G L:0_2,88,100,145,150
+SAR0688	15811	x	L G:26,28,43,44,48,50,51,55,66_68,71,72,85,90,117,138
+SAR0690	10699	arsR	L G:4,5,7_12,26_36,38,43_45,47,48,50_68,71,72,85,90,117,138,171,172,214,223_226,234,237,239,263,264,290,366,367,369
+SAR0691	2958	arsB	L G:0_2,4,5,7_9,11,12,26_38,43_45,47,48,50_68,71,72,84,85,90,116,117,138,171,172,214,223_226,234,237,239,263,264,290,366,367,369
+SAR0692	4145	arsC	L G:4,5,7_12,26_38,43_45,47,48,50_68,71,72,84,85,90,117,138,171,172,214,223_226,234,237,239,263,264,290,366,367,369
+SAR0693	10851	x	L G:8_10,12,27,28,43,44,47_69,101,103_105,107_111,115,195,196,208,209,237,239,263,264,290
+SAR0694	7293	mwp015	L G:8_12,26_28,40_45,47_69,71,72,90,92,97_101,103_105,107_112,115,117,118,138,162,195,196,208_210,223,225,230,237,239,263,264,290,366,367,369
+SAR0695	606	x	L G:5,8_12,26_28,40_45,47_66,68,69,71,72,90,97_99,101,103,104,107,108,112,115,117,118,138,162,195,196,208_210,223,225,230,237,239,263,264,290,366,367,369
+SAR0696	3575	sap021	L G:5,8_12,26_28,40_45,47_69,71,72,90,97_101,103_105,107_112,115,117,118,138,162,195,196,208_210,223,225,230,237,239,263,264,290,366,367,369
+SAR0697	313	x	L G:4,5,8_12,26_38,40_45,47_69,71,72,90,92,97_101,103_105,107,108,110_112,115,117,118,138,162,171,172,195,196,208_210,214,223,225,226,230,234,237,239,263,264,290,366,367,369
+SAR0703	642	rep	L G:8_12,26_28,43_45,47_69,71,72,90,92,97,101,103_105,107_112,115,117,138,195,196,208,209,223,225,230,237,239,263,264,290,366,367,369
+SAR0704	6208	x	L G:4,5,8_12,26_28,40_45,47_69,71,72,90,97_99,101,103_105,107_112,115,117,118,138,162,195,196,208_210,230,237,239,263,264,290,366,367,369
+SAR0714	11891	x	L G:26_28,43_45,47_68,72,138
+SAR0715	6402	x	L G:26_28,43_45,47_68,72,138
+SAR0717	6362	x	L G:26_28,43_45,47_68,72,75,138
+SAR0718	4563	x	L G:26_28,43_45,47_68,72,75,138
+SAR0720	2295	copB	L G:19,26_28,43_45,48_68,71,72,85,90,117,138
+SAR0721	2849	mco	L G:1,19,26,27,43_45,47_68,71,72,85,90,117,138,162
+SAR0723	5205	cadA	L G:26_38,43_45,47_68,70_72,85,90,93,95,96,117,122_135,137,138,171,172,214_219,228,234,237
+SAR0724	3423	cadC	L G:26_28,43_45,47_68,70_72,85,90,117,119_129,131_135,138
+SAR0728	2223	x	G L:0_2
+SAR0729	165	x	G L:0_3
+SAR0730	1868	x	G L:0_3,211
+SAR0731	1007	x	G L:0_3,248
+SAR0732	1233	rimL	G L:0_3
+SAR0733	3053	yvdD	G L:0_2,14
+SAR0734	968	fadA	G L:0_3
+SAR0735	2169	fadB	G L:0_2,128
+SAR0736	925	uppP	G L:0_2,29
+SAR0737	1809	map	G L:0_2,119,121,210
+SAR0738	626	cydC	G L:0_2,130,376
+SAR0739	3323	mgrA	G L:297
+SAR0740	555	cobW2	G L:0_3
+SAR0741	2097	x	G L:0_2
+SAR0742	2544	x	G L:0_3
+SAR0743	1147	x	G L:0_2,119_121,213
+SAR0744	1929	phrB	G L:0_2,99,110
+SAR0745	4952	x	G L:0_3,70_86
+SAR0746	3521	fadX	G L:0_3,134
+SAR0747	628	x	G L:0_3
+SAR0748	3600	bmr	G L:0_2,53
+SAR0749	1793	x	G L:0_3
+SAR0750	4502	ybaK	G L:0_3,85,96,169,215_219,240,258,259,277,278
+SAR0751	2365	lacR2	G L:0_2,203
+SAR0752	1817	pfkB	G L:0_2
+SAR0753	1382	fruA	G L:245
+SAR0754	3017	nagA	G L:0_2
+SAR0755	2656	x	G L:0_2,122
+SAR0756	510	yvgN	G L:0_2,82
+SAR0757	3773	gtrB	G L:0_2,245
+SAR0758	270	saeS	G L:0_2
+SAR0759	2908	saeR	G L:0_2
+SAR0760	1131	saeQ	G L:0_2
+SAR0761	654	saeP	G L:0_2,89,110,242_244
+SAR0762	2911	x	G L:0_2
+SAR0763	1398	queE	G L:0_2
+SAR0764	3031	queD	G L:0_2,274
+SAR0765	2209	queC	G L:0_2,98,245
+SAR0766	2325	pabA	G L:0_3,120
+SAR0767	1127	pabB	G L:0_3,7,110,118
+SAR0768	2895	pabC	G L:0_3
+SAR0769	2343	x	G L:0_3
+SAR0770	3766	atzF1	G L:0_2,169
+SAR0771	1602	atzF2	G L:0_2
+SAR0772	2172	ltaS	G L:121,199,234
+SAR0773	1104	ccmA	G L:0_2,14
+SAR0774	917	recQ	G L:0_2,86,89,109
+SAR0775	237	opuBA	G L:0_2
+SAR0776	2439	opuBB	G L:0_2,89,119,122,213,241
+SAR0777	2253	hisC	G L:0_2,137
+SAR0778	2435	x	G L:0_2,207,213,369
+SAR0779	3385	x	L G:26_68
+SAR0780	2378	bmrU	G L:0_2
+SAR0781	185	yjdL	G L:0_2
+SAR0782	4129	queF	G L:0_2,118
+SAR0783	3068	x	G L:0_2,118
+SAR0784	1187	nrdI	G L:0_2
+SAR0785	1463	nrdE	G L:85,100,123,144,246,279
+SAR0787	2450	ceuB	G L:0_2
+SAR0788	568	sstB	G L:0_2
+SAR0789	2193	sstC	G L:0_2,78
+SAR0790	2551	sstD	G L:0_2,109,110,118,145,246,408
+SAR0791	2708	hot13	G L:0_3
+SAR0792	1492	murB	G L:0_2
+SAR0793	3006	x	G L:0_2,14
+SAR0794	390	x	G L:0_2
+SAR0795	2499	ytxJ	G L:0_2
+SAR0796	671	glxK	G L:0_2,121
+SAR0797	694	pepT	G L:0_2,98
+SAR0798	558	ispD	G L:0_2
+SAR0799	3175	x	G L:0_2
+SAR0800	1649	x	G L:0_2
+SAR0801	877	llm	G L:0_2
+SAR0802	223	x	G L:0_3
+SAR0803	1400	x	G L:0_2,139_142
+SAR0804	748	comFA	G L:0_3,14
+SAR0805	503	comFC	G L:0_3
+SAR0806	5185	raiA	G L:0_2,41,81,82
+SAR0807	220	secA	G L:73,119,169
+SAR0809	724	ssaA_4	G L:0_2,8,9,82,89,110
+SAR0810	2308	yfbR	G L:0_2
+SAR0811	5685	x	G L:0_3
+SAR0812	1322	uvrB	G L:53,141
+SAR0814	1588	hprK	G L:0_2,188
+SAR0815	13341	lgt	L G:26_68
+SAR0816	2559	maa	G L:0_3
+SAR0817	395	x	G L:0_2,119,121,140,213
+SAR0820	1823	yvcJ	G L:0_2,137,331,407
+SAR0821	1110	x	G L:0_2
+SAR0822	1090	whiA	G L:89,109
+SAR0823	2032	clpP	G L:120,121,213
+SAR0824	3938	mleA	L G:3_68,70_91
+SAR0825	271	x	G L:0_2
+SAR0826	1704	x	G L:0_3,7
+SAR0827	1983	cggR	G L:0_2,73
+SAR0828	2668	gap	G L:73,89,109
+SAR0829	2388	pgk	G L:79
+SAR0831	1491	gpmI	G L:41,119_121,213
+SAR0832	224	eno	G L:122
+SAR0833	707	x	G L:0_3
+SAR0834	2337	secG	G L:0_2,110
+SAR0835	4309	est	G L:0_2,109
+SAR0837	4412	smpB	G L:0_2
+SAR0838	3454	x	L G:4_14,26_69,71_77,85,86,195_206
+SAR0839	3417	x	G L:0_2,79,89,91,110,131,143
+SAR0840	234	x	G L:0_3,252
+SAR0841	1714	x	G L:0_3,252
+SAR0845	1231	ssp	G L:0_3,15_25,86,110,311
+SAR0846	5927	vwb	L G:26_68,85,86
+SAR0847	573	nuc	G L:0_2,311
+SAR0848	3453	cspC	G L:0_2,228,311
+SAR0849	3585	lrgB	G L:0_3,95,208,209,311
+SAR0850	4846	x	G L:0_3,79,89,95,98,131,241,311
+SAR0851	2669	x	G L:0_3,311
+SAR0852	3840	x	G L:0_3,85,245,265_269,311
+SAR0853	4056	x	G L:0_3,80,120,121,213,311
+SAR0854	1263	groES	G L:0_3,121,265,266,311
+SAR0855	6589	x	G L:0_2,311
+SAR0856	4202	gpmA1	G L:0_2,20,311
+SAR0857	749	bglA	G L:0_3,225,311
+SAR0858	3230	x	G L:0_3,311
+SAR0859	1206	ohrB	G L:0_3,110,311
+SAR0860	1943	aroD	G L:0_3,73,311
+SAR0861	2095	x	G L:0_2,20,110,311
+SAR0862	5912	x	G L:0_3,311
+SAR0863	1029	arsC1	G L:0_2,311
+SAR0864	1773	gcvH	G L:0_2,311
+SAR0865	150	agrD	G L:0_2,125,311
+SAR0867	2136	x	G L:0_3,78
+SAR0868	4314	x	G L:0_2
+SAR0870	3160	metN2	G L:0_2
+SAR0871	376	metI	G L:0_2
+SAR0872	637	metQ	G L:6,123,213
+SAR0874	3259	leuB	G L:0_2
+SAR0875	2062	x	G L:0_3
+SAR0877	2274	sufD	G L:109
+SAR0878	1873	csd	G L:81,82,227
+SAR0880	1971	sufB	G L:73,207,232
+SAR0881	1887	x	G L:0_2,87_92,98_101,112,210_212,371
+SAR0882	3490	x	G L:0_2,29,73,76,98,116,123,144,146,232,236,371
+SAR0883	1803	ncd-2	G L:0_2,78,143,371
+SAR0884	987	x	G L:0_2,371
+SAR0885	3213	sigB	G L:0_2,14,119,371
+SAR0886	416	x	G L:0_2,371
+SAR0887	71	lipA	G L:213,371
+SAR0888	513	rsbU	G L:0_2,121,213,371
+SAR0889	2180	x	G L:0_2,225
+SAR0890	1970	x	G L:0_2,34
+SAR0891	2867	pdxp	G L:0_2
+SAR0892	609	gyaR	G L:0_3,81,121,130
+SAR0893	4789	dltX	G L:0_3
+SAR0894	2159	dltA	G L:0_2
+SAR0895	537	dltB	G L:14,145
+SAR0896	958	dltC	G L:0_2,14
+SAR0897	2221	dltD	G L:0_2
+SAR0898	4135	nifU	G L:0_2
+SAR0899	5104	yuzD	G L:0_3,232
+SAR0900	1781	ndh2	G L:0_2
+SAR0901	1347	kdpA	G L:0_3,95
+SAR0902	3277	sufA	G L:0_2,89,95,170
+SAR0904	2074	ampA	G L:0_2,53,226
+SAR0906	4102	x	G L:0_3
+SAR0907	3009	x	G L:0_2
+SAR0908	4759	mnhG	G L:0_2
+SAR0909	5410	mnhF	G L:0_2
+SAR0910	3846	mnhE	G L:0_2,89,109,110,241,246
+SAR0911	3133	mnhD	G L:0_2,7,36,38,85,86
+SAR0913	3895	mnhB	G L:0_2
+SAR0914	599	mnhA	G L:0_2
+SAR0915	1228	kapB	G L:0_4
+SAR0916	2608	ppi	G L:7,93
+SAR0917	3324	yugI	G L:0_2
+SAR0918	1634	namA	G L:0_2,166
+SAR0919	1511	rocD	G L:0_2,7,228
+SAR0921	407	glpQ	G L:0_2,234
+SAR0922	2227	argH	G L:0_2,110,213
+SAR0923	12	argG	G L:7,79
+SAR0925	444	thiD	G L:0_2
+SAR0926	614	spsA	G L:0_2,120
+SAR0927	632	spsB	G L:0_2
+SAR0928	1324	addB	G L:0_2
+SAR0929	2546	addA	G L:0_2,188
+SAR0930	1494	mhpD	G L:0_2,143
+SAR0931	4154	fabZ	G L:0_2
+SAR0933	2052	cdr	G L:0_2,14
+SAR0934	459	yitU	G L:0_2,95,119,242_244
+SAR0935	1331	yitW	G L:0_3
+SAR0937	2148	clpB	G L:0_2,14,78
+SAR0939	993	lysR	G L:0_2
+SAR0940	2088	leuA1	G L:0_3,8_25,69,71,72,78,81,97
+SAR0941	2787	atpG	G L:0_3,8_25,69,71,72,78,81,87_91,97,150
+SAR0942	3943	atpA	G L:0_3,8_25,64,69,71,72,78,79,81,96,97,177,197,230
+SAR0943	2208	atpH	G L:0_2,79
+SAR0944	2356	eap	G L:0_3,142
+SAR0945	2763	x	G L:0_3
+SAR0946	3119	fabH	G L:248,342
+SAR0947	2273	fabF	G L:121,226,342
+SAR0948	296:1	oppB	G L:0_3,137,342
+SAR0949	2491	oppB	G L:95,129,211,342
+SAR0950	315	oppC	G L:0_2,225,342
+SAR0951	2036	oppD	G L:0_2,342
+SAR0952	765	oppF	G L:0_2,8,91,342
+SAR0953	1598	oppA	G L:0_2,7,38,80,89,94,98,150,342
+SAR0957	811	appD	G L:0_2,15_25,69,78,87,101,110,195_197,257,278,342
+SAR0958	892	appF	G L:0_2,15_25,69,78,195_197,214,342
+SAR0960	2255:1	appC	G L:0_3,15_25,69,78,122,195_197,214,342
+SAR0961	3791	x	L G:26_68,81_84,87_92
+SAR0964	4141:1	trpS	G L:1,2,31,35,37,38,85,109,110,176,213,234,342
+SAR0966	353:1	mecA	G L:0_2,8,72
+SAR0967	1205:1	coiA	G L:0_3,118,135,137
+SAR0968	2287	pepF	G L:146,418
+SAR0969	4095	yjbM	G L:227
+SAR0970	3390	yjbI	G L:0_2
+SAR0971	3234	cyaA	G L:0_2
+SAR0972	5549	x	G L:0_2,131,241
+SAR0973	561	yjbM	G L:0_2
+SAR0975	1017	rluA1	G L:0_3,80,118,125,194,241
+SAR0976	217	mgtE	G L:0_2,5,139,279
+SAR0977	2237	x	G L:0_2,130,136,213,236
+SAR0978	2933:1	fabI	G L:0_2,120,127
+SAR0979	4297	x	G L:0_2,120,127
+SAR0980	3256	agcS_2	G L:0_2
+SAR0981	380	fes	G L:0_2,95
+SAR0982	3794	x	L G:6,7,26_68,70,73_77,100,101,113_115,210_212
+SAR0983	1083	x	L G:6,7,26_42,45_68,70,73_77,100,101,113_115,210_212
+SAR0985	956	x	G L:0_2,95
+SAR0986	2260	ltaA	G L:0_2
+SAR0987	1225	ugtP	G L:0_2
+SAR0988	1617	murE	G L:0_2,22,34,89,109,231
+SAR0989	4650	deoD	G L:0_3
+SAR0990	990	prfC	G L:85
+SAR0991	2031	terC	G L:0_2
+SAR0992	1328	htrA	G L:0_3,110,146
+SAR0993	472	ntpJ	G L:0_2,122,146
+SAR0994	175	manA1	G L:0_2,209
+SAR0995	2168	comK	G L:0_2,95,201,278,316
+SAR0996	3126	x	G L:0_2
+SAR0997	1209	lplJ	G L:0_2
+SAR0998	3207	czrA	G L:0_2,52,145
+SAR0999	3500	x	G L:0_2
+SAR1000	8020	x	L G:26_52,54_68
+SAR1001	1257	x	G L:0_2,4_14,71,72
+SAR1002	953	x	G L:0_2,95
+SAR1003	1028	x	G L:0_2
+SAR1004	3528	x	G L:0_2,185
+SAR1005	2854	x	G L:0_3,185
+SAR1007	4741	x	L G:3,26_69,71,72,78,80,93_95,103_111,119_136,138_181,189_191,195_197
+SAR1010	745	x	G L:0_2,120,121,150,213,241,245,356
+SAR1011	653	x	G L:0_3,428
+SAR1013	1838	x	G L:0_3,428
+SAR1014	3300	glmS	G L:0_3,81,177,428
+SAR1015	879	menA	G L:0_2,110,428
+SAR1016	2705	menF	G L:0_2,7,14,80,100,110,118,137,143_145,211,428
+SAR1017	679	menD	G L:0_2,81,82,428
+SAR1018	4148	menH	G L:0_3,120,428
+SAR1019	2743	menB	G L:428
+SAR1020	4108	sspC	G L:0_3,428
+SAR1021	693	sspB	G L:0_2,109,146,428
+SAR1022	338	sspA	G L:0_2,29,228,428
+SAR1023	2747	patA	G L:0_2,14,73,86,428
+SAR1025	528	trlWM1	G L:0_2,78,79,428
+SAR1026	802	atl	G L:0_2,22,53,111,228,428
+SAR1027	2230	x	G L:0_3,84,115,119_121,210,428
+SAR1028	1679	x	G L:0_2,14,101,428
+SAR1029	464	nanE	G L:0_2,428
+SAR1030	803	fmtA	G L:0_2,428
+SAR1031	3971	qoxD	G L:0_2,428
+SAR1032	1440	qoxC	G L:428
+SAR1033	3709	qoxB	G L:52,428
+SAR1034	2421	qoxA	G L:0_2,119,121,213,428
+SAR1035	6651	iraE	G L:0_2,137,428
+SAR1037	1450	folD	G L:0_2,130,234,428
+SAR1038	4026	purE	G L:0_2,98,428
+SAR1039	2039	purK	G L:0_2,73,83,142,428
+SAR1040	176	purC	G L:0_2,79,83,150,428
+SAR1041	2407	purS	G L:0_3,428
+SAR1042	2392	purQ	G L:0_2,428
+SAR1043	1522	purL	G L:122,428
+SAR1044	1705	purF	G L:428
+SAR1045	125	purM	G L:0_2,73,428
+SAR1046	1051	purN	G L:0_2,80,428
+SAR1047	870	purH	G L:0_2,14,31,38,428
+SAR1048	3265	purD	G L:0_2,428
+SAR1049	2316	ykoC	G L:0_2,131
+SAR1050	211	ykoD	G L:0_3,76
+SAR1051	3828	ykoE	G L:0_2
+SAR1053	2333	x	G L:0_2,241
+SAR1054	575	ywbD	G L:0_2
+SAR1055	726	x	G L:0_2,7
+SAR1056	2238	ptsH	G L:0_2
+SAR1057	2726	ptsI	G L:14,52,146,241
+SAR1058	3407	ulaA	G L:0_3
+SAR1059	1430	cydA	G L:0_2,144
+SAR1060	4362	cydB	G L:0_2,43,44,80,123
+SAR1061	2653	ktrA	G L:0_2,89,98,110,232
+SAR1063	991	rnjA	G L:79
+SAR1064	4595	esaB	G L:0_2
+SAR1065	3560	def	G L:0_2
+SAR1066	3045	x	G L:0_3,80,88,118,211,216,241,246
+SAR1067	850	pdhA	G L:48,120,213
+SAR1069	3673	pdhC	G L:14
+SAR1070	709	pdhD	G L:7,241
+SAR1071	841	asp23	G L:0_3
+SAR1072	518	x	G L:0_2,45,98,100,236
+SAR1073	2412:1	potA	G L:0_2,73,143,245
+SAR1074	2086	potB	G L:0_2,78,120,121,213
+SAR1075	571	potC	G L:0_2
+SAR1076	1446	potD	G L:0_2,110,120,121
+SAR1077	2093	x	G L:0_2,234
+SAR1078	3722	lacG	G L:0_3,53
+SAR1079	2851	mntH	G L:0_2,139,140,234
+SAR1080	779	x	G L:0_3,14,118,131
+SAR1081	1519	suhB	G L:0_2
+SAR1082	6785	x	G L:0_3,80,89,100,109,110,118,122,123,131,150,246,356
+SAR1084	7109	x	L G:15_68,85,86
+SAR1085	2406	x	G L:0_2
+SAR1086	1148	lacD	G L:0_2
+SAR1087	1637	ftsW	G L:0_2,110
+SAR1089	1758	ctaA	G L:0_2,53,57,119,120
+SAR1090	1031	cyoE	G L:0_2
+SAR1091	1554	lacR	G L:0_2,176,188
+SAR1092	124	x	G L:0_2,10
+SAR1093	2843	ylbF	G L:0_2
+SAR1094	3132	x	G L:0_3,20,121,213
+SAR1095	1686	x	G L:0_2,39
+SAR1096	2938	x	G L:0_3,89,241
+SAR1097	885	rsmD	G L:0_2
+SAR1098	1659	coaD	G L:0_2
+SAR1099	2400	x	G L:0_2,122,241
+SAR1100	1439	ylbN	G L:0_2
+SAR1101	7097	rpmF	G L:0_2,89,110,141,312
+SAR1102	3301	isdB	G L:0_2,89,109,110,435
+SAR1103	1936	isdA	G L:0_3,7,14
+SAR1104	366	isdC	G L:0_2,89
+SAR1105	915	isdD	G L:0_2,89,167,213,241
+SAR1106	9	isdE	G L:0_2,110
+SAR1107	1118	isdF	G L:0_3
+SAR1108	1009	srtB	G L:0_2,14,169
+SAR1109	2225	isdG	G L:0_2,241
+SAR1110	2286	spoU/trmH	G L:0_2
+SAR1111	871	pheS	G L:0_2,120,121
+SAR1112	1132	pheT	G L:0_2,14
+SAR1113	1563	rnhC	G L:0_3,53,95,116
+SAR1114	1978	zapA	G L:0_3
+SAR1115	3076	cvpA	G L:0_2
+SAR1116	1012	polX	G L:0_2,53,121
+SAR1117	656	mutS2	G L:0_2,14,100,110,119
+SAR1118	821	trxA	G L:0_2
+SAR1119	1484	uvrC	G L:0_2,86
+SAR1120	214	sdhC	G L:0_2
+SAR1121	106	sdhA	G L:52
+SAR1123	502	murI	G L:0_2
+SAR1124	1501	rdgB	G L:0_2,80
+SAR1125	1475	rpmJ	G L:0_2,150
+SAR1126	10068	x	L G:4,5,26_36,38_68
+SAR1127	1732	ecb	G L:0_2,89,110,137,145,176,232,241,290
+SAR1129	2451	x	G L:0_3,7,46,137,138,264
+SAR1130	3405	fib	G L:0_3,264
+SAR1131	1014	scn_1	G L:0_3,128,264,297,298
+SAR1132	8389	x	L G:4,5,8_68
+SAR1133	14987	x	L G:4_68,85,86
+SAR1133a	4953	x	L G:4_68,85,86
+SAR1134	2751	x	L G:4_68,85,86
+SAR1137	3937	x	L G:4_38,43_55,57_69,85_91
+SAR1139	1633	x	G L:0_3,82,234,314
+SAR1141	1618	x	G L:0_2,314
+SAR1142	1115	argF	G L:14,29,89,314
+SAR1143	1954	arcC	G L:0_2,227,245,314,365
+SAR1146	2187	rplE	G L:0_3,80,150,314
+SAR1147	2185	eta	G L:0_3,122,314
+SAR1148	3770	x	G L:0_4,14,69,78,89,109,215_219,263,314
+SAR1151	1314	yfnB	G L:0_2,314
+SAR1152	1293	x	G L:0_2,96,314
+SAR1153	1477	bshC	G L:0_2,314
+SAR1154	229	mraZ	G L:142,314
+SAR1155	2341	mraW	G L:314
+SAR1156	5039	ftsL	G L:0_2,314
+SAR1157	1520	pbpA	G L:0_2,7,89,120,167,241,314
+SAR1158	461	mraY	G L:0_2,241,314
+SAR1159	3478	murD	G L:0_2,234,314
+SAR1160	344	div1b	G L:0_3,314
+SAR1161	878	ftsA	G L:53,314
+SAR1162	662	ftsZ	G L:110,314
+SAR1163	1422	x	G L:0_3,146,314
+SAR1164	685	ylmE	G L:0_2,119,314
+SAR1165	994	sepF	G L:0_2,211,245,314
+SAR1166	936	ylmG	G L:0_2,314
+SAR1167	161	ylmH	G L:0_2,9,121,122,314
+SAR1168	231	divIVA	G L:0_2,110,236,314
+SAR1169	200	ileS	G L:53,89,109,314
+SAR1171	4409	gloA2	G L:0_2,91,112,214_219,314
+SAR1172	3510	lspA	G L:0_2,73,118
+SAR1173	3461	rluD	G L:0_2,14,73,143
+SAR1174	3580	pyrR	G L:0_2,53
+SAR1176	908	pyrB	G L:0_2
+SAR1177	440	pyrC	G L:0_2,118
+SAR1178	94	carA	G L:0_2,119,120,213
+SAR1180	4285	pyrF	G L:0_2
+SAR1181	388	pyrE	G L:0_2,76
+SAR1182	868	mobA	G L:0_3,89,109
+SAR1183	3574	moaD	G L:0_3,121
+SAR1184	1926	fbpA	G L:0_2,88
+SAR1185	560	gmk	G L:0_2,14,34
+SAR1186	3811	rpoZ	G L:0_3,14,46
+SAR1187	3035	coaBC	G L:0_2,73
+SAR1188	178	priA	G L:0_2,7,73,120
+SAR1189	1099:1	moaB	G L:0_2,4_25,69_78,80_82,84_86,118,195_197,241
+SAR1190	1718	xynA	G L:0_3,81
+SAR1191	4867	def	G L:0_2
+SAR1192	696	fmt	G L:0_2
+SAR1193	881	sun	G L:0_2,79,98,109,110,118,119,145,176,241,246,248,293
+SAR1194	1668	rlmN	G L:118,144,232
+SAR1195	265	prpC	G L:0_2,171
+SAR1196	364	prkC	G L:0_2,136
+SAR1197	3785	rsgA	G L:0_2,73,110,118,123,140,173,176,246
+SAR1198	783	rpe	G L:0_2
+SAR1199	1835	thiN	G L:0_3,14,118
+SAR1200	10429	rpmB	G L:0_2
+SAR1201	4794	asp4	G L:0_2
+SAR1202	2355	x	G L:0_2,89,121,131,144,236
+SAR1203	1364	recG	G L:0_2,14,89,110,119,122,176,213,226
+SAR1204	1898	fapR	G L:0_2,88,98,100
+SAR1205	527	plsX	G L:110,118,121
+SAR1206	2823	fabD	G L:0_2
+SAR1207	111	fabG	G L:120
+SAR1209	3079	rnc	G L:0_2
+SAR1210	519	smc	G L:0_2
+SAR1211	1518	ftsY	G L:0_2
+SAR1212	4666	sarY	G L:0_2
+SAR1213	1333	ffh	G L:7
+SAR1214	2703	rpsP	G L:0_2
+SAR1215	2218	rimM	G L:0_2
+SAR1216	1782	trmD	G L:0_2,53,88
+SAR1218	1611	yfhO	G L:0_2,146
+SAR1219	17	ylqF	G L:0_2,120,143
+SAR1220	319	rnhB	G L:0_2
+SAR1221	1289	sucC	G L:53,142,176
+SAR1222	2506	sucD	G L:73
+SAR1223	1890	lytN	G L:0_2,14_25,70,73_78,80,83_86,92,100_102,116_118,207,234
+SAR1224	2242	fmhC	G L:0_2,78,92,95,100_102,116_118,207
+SAR1225	876	dprA	G L:0_2,78,92,100_102,116_118,207,381
+SAR1226	1589	topA	G L:52
+SAR1228	1897	xerC	G L:0_2
+SAR1229	3284	hslV	G L:0_2
+SAR1230	1862	hslU	G L:188,213
+SAR1231	3384	codY	G L:0_2,119_121
+SAR1232	857	rpsB	G L:125
+SAR1235	1376	frr	G L:0_2
+SAR1236	3136	uppS	G L:0_2,7,98,110
+SAR1237	2072	cdsA	G L:0_2
+SAR1238	2201	rseP	G L:0_2,53
+SAR1239	1427	proS	G L:0_2
+SAR1240	2896	polC	G L:7,39,52,150
+SAR1241	2686	rimP	G L:0_2,120
+SAR1242	762	nusA	G L:0_2,70,89
+SAR1243	2241	x	G L:0_2,109
+SAR1244	2699	rpl7AE	G L:0_2,14
+SAR1246	3664	rbfA	G L:0_2
+SAR1247	2651	truB	G L:0_2
+SAR1248	471	ribF	G L:0_2,89,109,110
+SAR1249	1576	rpsO	G L:0_2
+SAR1250	584	pnp	G L:73,143,203
+SAR1251	26	rnjB	G L:7,88
+SAR1252	1204	spoIIIE	G L:0_2,52,53,73
+SAR1253	2192	hutG	G L:0_2
+SAR1254	812	x	G L:0_2
+SAR1255	3451	x	G L:0_2,14,31,42,76,86,89,110,122,146,241
+SAR1256	907	phbB	G L:0_3,78
+SAR1257	1614	x	G L:0_2
+SAR1258	2492	galM	G L:0_2
+SAR1259	1443	pgsA	G L:0_2
+SAR1260	53	cinA	G L:0_3,39,79,89,119
+SAR1261	2389	recA	G L:241
+SAR1263	2514	x	G L:0_3,98
+SAR1264	855	x	G L:0_2
+SAR1265	3540	porA	G L:0_2
+SAR1266	691	porB	G L:0_2,89,109,110,119,123,241
+SAR1267	1391	x	G L:0_3,80
+SAR1268	410	miaB	G L:0_2
+SAR1269	5994	x	G L:0_3,199
+SAR1270	408	thiW	G L:0_2
+SAR1271	3097	mutS	G L:0_2,101
+SAR1272	1646	mutL	G L:0_2,42,73,87,88,110,118,122,123,129,131,137,142_145,150,169,173,232,236,240,241,246,275,284,391
+SAR1273	2113	glpP	G L:0_3,86,89,109,110,144,234
+SAR1273a	5012	x	L G:26_38,40_68,70,79_86
+SAR1274	2951	glpF	G L:0_2
+SAR1277	1711	x	G L:0_2,42,118,126_128,146,246,394
+SAR1278	1678	miaA	G L:0_2,89,98,118,143,199,241,245,246
+SAR1279	5244	hfq	G L:0_2,108
+SAR1280	3140	bsaA	G L:0_2
+SAR1281	3032	hflX	G L:0_2,116,121,213
+SAR1282	476	Alu-2	G L:0_2,93,118,122,131,145
+SAR1283	3332	glnR	G L:0_2
+SAR1285	5455	x	G L:0_2,8_13,95,117,118
+SAR1288	6387	x	L G:6,7,11,16,28,32,34,46_49,51,52,54_68,79,90,91,102,113_115,119_135,143_149,151_161,165,168,177_194,207,210,229,232,277,278,433,450
+SAR1289	4890	thrA	L G:3_7,11,16,27,28,32,34,39,43,44,46_68,72,73,79,80,86,90_92,102,112_115,119_137,143_161,164,165,167,168,174,177_196,206_210,229,232_234,238,239,277_279,355,381,394,419,433,450
+SAR1290	4358	x	L G:3_7,11,16,27,28,32,34,39,43,44,46_68,72,73,79,80,86,90_92,102,112_115,121_137,143_161,164,165,167,168,174,177_196,206_210,229,232_234,238,239,277_279,355,381,394,419,433,450
+SAR1291	780	thrC	L G:3_7,11,16,27,28,32,34,39,43,44,46_68,72,73,79,80,86,90_92,102,112_115,119_137,143_161,164,165,167,168,174,177_196,206_210,229,232_234,238,239,277_279,355,381,394,419,433,450
+SAR1292	2482:1	thrB	L G:3_7,11,16,28,32,34,39,43,44,46_68,72,73,79,80,86,90_92,102,112_115,119_137,143_161,164_168,174,177_196,206_210,213,229,232_234,238,239,277_279,355,381,394,419,433,450
+SAR1293	1681:1	x	L G:4_7,11,16,27,28,32,34,39,43,44,46_68,72,73,79,80,86,90,91,102,112_115,119_137,143_149,151_161,164_168,174,177_196,206_209,213,229,232_234,238,239,277,278,355,381,394,419,433,450
+SAR1294	1571:1	x	L G:3_7,11,16,28,32,34,39,43,44,46_68,72,73,79,80,86,90_92,102,112_115,119_137,143_161,164,165,167,168,174,177_181,183_196,206_210,229,232_234,238,239,277_279,355,381,394,419,433,450
+SAR1295	6645	x	L G:3_7,11,16,28,32,34,39,46_68,72,79,80,86,90,91,102,112_115,119_137,143_161,164,196,207_210,229,232,277,278,381,394,433,450
+SAR1296	324	x	L G:3_6,11,16,28,32,34,39,43,44,46_59,61_68,72,73,79,80,86,90_92,102,112_115,119_137,143_161,164,165,167,168,174,177_194,196,206_210,229,232_234,238,239,277_279,355,381,394,419,433,450
+SAR1297	2179:1	x	L G:3_7,11,16,27,28,32,34,39,43,44,46,47,49_68,72,73,79,80,86,90_92,102,112_115,119_137,143_161,164,165,167,168,177_196,206_210,229,232_234,238,239,277_279,355,381,394,419,433,450
+SAR1298	4425	rpsN	L G:3_7,11,16,27,28,32,34,39,43,44,46,47,49_68,72,73,79,80,86,90_92,102,112_115,119_137,143_161,164,165,167,168,174,177_196,206_210,229,232_234,238,239,277_279,355,381,394,419,433,450
+SAR1299	9576	x	L G:3_7,11,16,27,28,32,34,39,43,44,46,47,49_68,72,73,79,80,86,90_92,102,112_115,119_137,143_145,147_161,164,165,167,168,174,177_196,206_210,229,232_234,238,239,277_279,355,381,394,419,433,450
+SAR1300	1982	x	L G:3_7,11,16,27,28,32,34,39,43,44,46,47,49_68,72,73,79,80,86,90_92,102,112_115,119_130,132_137,143_161,164,165,167,168,174,177_196,206_210,229,232_234,238,239,277_279,355,381,394,419,433,450
+SAR1302	3415	mqo	G L:0_2,4_14,48,79,80,95,102,117,118,213,343,368,458
+SAR1303	2979	x	L G:15_47,49_68,70_79,81_86
+SAR1304	6278	x	G L:0_2,4_14,41,48,58,80,95,98,102_111,116_118,131,207
+SAR1306	409	x	L G:3,14_69,78,83,92,97,102,207
+SAR1311	546	x	L G:15_25,27_64,66_68,83,85,86,97
+SAR1312	3656	x	L G:27_40,42_68,92,97_99,112,208,209
+SAR1313	15127	x	L G:27_40,42_68,92,97_99,102,112,208,209
+SAR1314	6547	x	L G:12,13,26,28_40,42_68,81,82,84_86
+SAR1315	3016:1	x	L G:26,28_34,36_38,40,42_51,55_68,70_77,83,87_94,96_99,103_114,116_121,123,124,126,127,129_134,136_171,173,174,176_182,185_187,189,190,194_206,208_212
+SAR1316	3429	x	L G:26,28_40,42_68,70_77,85,87_99,103_206,208_212
+SAR1317	4472	x	L G:26,28_40,42_77,80,85,87_99,102_212
+SAR1318	1166	x	L G:26,28_40,42_77,81,82,84,87_91,119_121,123,124,126,127,129,130,132_171,173,174,176_187,189_194
+SAR1320	3628	x	L G:26,28_40,42_73,75,77,81,82,84_91,119_174,176_194
+SAR1321	2940	x	L G:26_33,35,36,38,40,42_46,48,50_52,54_63,65_68,70_72,74_77,81_84,93_99,103_118,195_206,208_212
+SAR1322	3655	x	L G:26_40,42_68,70,87_91,119_174,176_194
+SAR1324	8755	x	L G:26_51,53_68
+SAR1325	12930	x	L G:26_68,70
+SAR1326	3893	gLY1	G L:0_2
+SAR1328	2736	cls1	G L:0_2,6,17,18,42,95,110,204,241
+SAR1329	1555	x	G L:0_2,15_25,70,73_79,82,84_86,93_96,220_222,359
+SAR1330	2899	x	G L:0_2,15_25,70,73_79,82,84_86,93_96
+SAR1331	342	x	G L:0_2,15_25,70,73_79,84_86,93_96,142
+SAR1332	14013	x	L G:56_68
+SAR1333	1881	ssb	G L:0_3,53,69
+SAR1334	139	nucH	G L:0_2,73,121,126,296
+SAR1335	2427	rpsR	G L:0_2,86,121,213,377,379,408
+SAR1336	2411	x	G L:0_2,7,14
+SAR1337	2485	lysC2	G L:0_2,7,29,241
+SAR1338	1214	dhoM	G L:0_2,121
+SAR1339	4396	thrC	G L:0_2
+SAR1340	1416	thrB	G L:0_2
+SAR1341	1373	x	G L:0_2,73,121,122
+SAR1342	1717	x	G L:0_2,25
+SAR1343	818	lysP	G L:0_2,137
+SAR1344	385	katA	G L:14,119
+SAR1345	4744	rpmG	L G:26_68
+SAR1346	5399	rpsN	G L:0_2,7
+SAR1348	1460	narI	G L:0_2,78
+SAR1349	941	lexA	G L:0_2
+SAR1350	2834	narJ	G L:0_3,245
+SAR1351	1918	x	G L:0_3,95,110
+SAR1352	2915	tkt	G L:0_2
+SAR1353	2282	cysG	G L:0_2,7,42,45,75,118,234
+SAR1355	624	ccdC	G L:0_2
+SAR1356	43	sbcD	G L:0_3,95,146,188
+SAR1357	117:1	sbcC	G L:0_3
+SAR1360	2191	mscL	G L:0_2,84
+SAR1361	2537	opuD	G L:0_2,14,232
+SAR1362	1060	acnA	G L:110,121,145,213
+SAR1363	1506	x	G L:0_3,118,146,213
+SAR1364	2250	x	G L:0_2,53
+SAR1365	2729	plsY	G L:0_2,110
+SAR1366	2268	parE	G L:213
+SAR1367	836	parC	G L:0_2
+SAR1368	1121	agcS_1	G L:14
+SAR1369	4731	glcT	G L:0_2,119_121,137,213,236
+SAR1370	6658	x	G L:0_3,15_25,84
+SAR1371	1024	dsbA	G L:0_2,112
+SAR1372	467	mprF	G L:0_2,10,385
+SAR1373	2900	msrA1	G L:0_2
+SAR1374	3366	msrR	G L:0_2,53,236
+SAR1376	152	ywhB	G L:0_3,236,459,460
+SAR1377	205	dinB2	G L:0_2,89,109,110,234
+SAR1378	2214	tyrA	G L:0_2,278
+SAR1379	2094	x	G L:0_2
+SAR1380	5006	trpE	G L:0_2,46,122,227
+SAR1381	1329	trpG	G L:0_2,377
+SAR1383	1189	trpC	G L:0_2,142
+SAR1384	1453	trpF	G L:0_2,73_77
+SAR1385	379	trpB	G L:0_2,4,14,69
+SAR1386	2135	trpA	G L:0_2,14,120
+SAR1387	3377	femA	G L:0_2,110
+SAR1388	2644	femB	G L:0_2,146,213
+SAR1391	4857	x	G L:0_2,84
+SAR1392	2453	opp-2F	G L:0_14,69,87_89,137
+SAR1393	1163	opp-2D	G L:0_14,69
+SAR1394	2106	opp-2C	G L:0_2,14,100,110,150
+SAR1395	3247	opp-2B	G L:0_14,69
+SAR1396	2219	x	G L:0_2,110,119_121,213
+SAR1397	2199	pepF	G L:0_2,27,96
+SAR1398	840	phoU	G L:0_2
+SAR1399	354	pstB	G L:0_2,89,121,122,213
+SAR1400	1048	pstA	G L:0_2,122
+SAR1401	604	pstC	G L:0_2
+SAR1402	2066	pstS	G L:0_2,24,83,89,109,110,118,122,142,144,150,166,211
+SAR1403	791	cvfB	G L:0_2,73,109
+SAR1405	4134	lysC	G L:0_2,63,234
+SAR1407	787	dapA	G L:0_2,119_121,213,225,399
+SAR1408	919	dapB	G L:0_2
+SAR1409	2481	dapD	G L:0_2,203
+SAR1410	56	hipO	G L:0_2,121
+SAR1411	3421	alr2	G L:0_2,86,120
+SAR1412	1476	lysA	G L:0_2,85,210
+SAR1413	1413	msa	G L:0_3,64,85,86,95,177_188,192_194
+SAR1414	6108	cspA	G L:0_2,138
+SAR1415	290	x	G L:0_2,86,279
+SAR1416	5193	acyP	G L:0_3,40
+SAR1417	3164	xpaC	G L:0_2
+SAR1418	2210	telA	G L:0_2
+SAR1419	2479	brnQ_3	G L:0_2,234,236
+SAR1420	1394	norD	G L:0_2,95,100,146,381
+SAR1421	548	norQ	G L:0_2,7,116
+SAR1422	3876	yozC	G L:0_3
+SAR1423	3623	x	G L:0_2,119_121
+SAR1424	3145	sucB	G L:2,79,120
+SAR1425	3371	sucA	G L:121,150,232,285
+SAR1426	2752	arlS	G L:0_2,110
+SAR1427	1047	arlR	G L:0_2
+SAR1428	3141	x	L G:6,27,28,47_68,70,73_77,79,103_109,111,118,162,211
+SAR1429	3102	ahpF	G L:0_2
+SAR1430	1472	murG	G L:0_2,80,88,89,98,109,110,240,241,245,379
+SAR1431	1710	x	G L:0_2,136
+SAR1432	1807	ctpA	G L:0_2,232
+SAR1434	2723	x	G L:0_3
+SAR1435	146	crr	G L:0_2,176
+SAR1436	1684	msrB	G L:0_2,145
+SAR1437	1200	msrA2	G L:0_2,46
+SAR1438	132	pbuX	G L:0_2
+SAR1439	433	folA	G L:0_2
+SAR1440	4269	thyA	G L:0_2,145,150
+SAR1441	4004	x	G L:0_2
+SAR1442	1496	cvfC	G L:0_2,121,213
+SAR1443	2073	x	G L:0_3
+SAR1444	1712	x	G L:0_2
+SAR1445	1126	x	G L:0_2,76,95,108,242_244
+SAR1446	1483	rnhA	G L:0_3
+SAR1447	425:1	ebh	G L:0_2,51,61,70,87,89,123,140,141,167,228,291,372
+SAR1448	349	norB_2	G L:0_2,70,232
+SAR1449	1628:1	steT	G L:0_2,70,73
+SAR1450	1824	ilvA_1	G L:0_2,70,146
+SAR1451	2366	ald_1	G L:0_2,70
+SAR1452	1119	ypcP	G L:0_2,73,98,131
+SAR1453	68	x	G L:0_2,7,14
+SAR1455	3047	x	G L:0_3,131,240
+SAR1457	2465	gpsB	G L:0_2
+SAR1458	3095	x	G L:0_2,88
+SAR1459	1988	x	G L:0_3,101
+SAR1459a	9464	x	L G:26_68
+SAR1461	187	pbp2	G L:0_2
+SAR1462	1544	x	G L:0_3
+SAR1463	2660	nth	G L:0_2
+SAR1464	2583	dnaD	G L:0_3,89,110
+SAR1465	1523	asnS	G L:14,53,108
+SAR1466	2331	dinG	G L:0_2,122,236
+SAR1467	3034	birA	G L:0_2,213
+SAR1468	144	papS	G L:0_2
+SAR1469	386	bshA	G L:0_2
+SAR1470	854	mazG	G L:0_3,14,26,89,181,378
+SAR1471	1244	x	G L:0_2,234
+SAR1472	19	x	G L:0_3
+SAR1473	297	x	G L:0_3,14
+SAR1475	2298	aroA	G L:0_2,4,22,146
+SAR1476	924	aroB	G L:0_2,146,227
+SAR1477	2689	aroC	G L:0_2,88
+SAR1478	246	ndk	G L:0_2
+SAR1479	2550	hepT	G L:0_2,20,120
+SAR1480	2990	ubiE	G L:0_2
+SAR1481	970	set7nm	G L:0_2,14,120,121,213
+SAR1483	1912	gpsA	G L:0_2,73,121
+SAR1484	3967	engA	G L:27,78
+SAR1486	1256	cmk	G L:0_2,89,109,143
+SAR1487	668	ansA	G L:0_2,14
+SAR1488	1011	x	G L:53
+SAR1489	1287	ebpS	G L:0_2,14,30,70,80,87_89,119_121,137,213
+SAR1490	2502	recQ	G L:0_2
+SAR1491	1515	ypbB	G L:0_2,51
+SAR1492	2529	fer	G L:0_2
+SAR1493	497	ribU	G L:0_2
+SAR1495	946:1	lpl8nm	G L:0_2,84
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+SAR1498	147	xhlB	G L:0_3,6_8,10_14,17_19,26_28,39,46_50,53_55,70,72_74,79,84_86,90,91,98,99,102,110,112_115,117,118,121_129,131_133,138_140,164_166,168,173,174,176,196,197,207,208,210_212,214_224,230,233,235_238,240,242_244,248,249,252_257,260,261,265,270_276,283,284,286_288,299,300,302,308_310,315,316,322,324,326,327,332,356,364,365,368,377,383,385_394,396_425,427_438,440_443,445,448_452,454_457,460
+SAR1499	1338	x	G L:0_3,6,7,12_14,19,21_24,28_30,32_37,39,43,44,46,49,53_55,70,73_77,84,85,88,95,98,99,102,109,110,114,116_118,121,124_129,132,133,135,139,140,165,166,168,172,174,196,197,199,201_208,210_212,215_219,223,233,235,238,257,271,275,286,356,389,412,428_430,455,460
+SAR1500	2003	x	G L:0_3,6_8,10_14,16_19,21_24,27_30,32_37,39,43_46,48,49,53_55,70,72_79,84_89,97_99,102,109,110,112_118,121_129,131_133,135,138_140,165,166,168,170_174,196_208,210_212,214_223,226,230,235_238,240_244,248,249,252_257,261,270,271,275,276,286_288,302,356,364,368,377,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1501	6494	x	G L:0_3,6_8,10_14,19,21_24,27_30,32_37,39,43_46,48,49,53_55,70,72_77,79,84_89,97_99,102,109,110,112_118,121_129,131_133,135,138_140,165,166,168,170_174,196_208,210_212,214_223,226,230,235_238,240_244,248,249,252_257,261,270,271,275,276,286_288,302,356,364,368,377,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1502	2910	x	G L:0_3,6_8,10_14,19,21_24,27_30,32_37,39,43_46,48,49,53_55,70,72_77,79,84_89,97_99,102,109,110,112_118,121_129,131_133,135,138_140,165,166,168,170_174,196_208,210_212,214_223,226,230,235_238,240_244,248,249,252_257,261,270,271,275,276,286_288,302,356,364,368,377,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1503	673	x	G L:0_3,6_8,10_14,19,21_24,27_30,32_37,39,43_46,48,49,53_55,70,72_80,84_89,97_99,102,109,110,112_118,120_129,131_133,135,138_140,165,166,168,170_174,196_208,210_212,214_223,226,230,235_238,240_244,248,249,252_257,261,270,271,275,276,286_288,302,356,364,368,377,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1504	4586	x	G L:0_3,6_8,10_14,19,21_24,27_30,32_37,39,43_46,48,49,53_55,70,72_80,84_89,97_99,102,109,110,112_118,121_129,131_133,135,138_140,165,166,168,170_174,196_208,210_212,214_223,226,230,235_238,240_244,248,249,252_257,261,270,271,275,276,286_288,302,356,364,368,377,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1505	1303:1	x	G L:0_3,6_8,10_14,19,21_24,27_30,32_37,39,43_46,48,49,52_55,70,72_80,84_89,97_99,102,109,110,112_118,121_129,131_133,135,138_140,165,166,168,170_174,196_208,210_212,214_223,226,227,230,235_238,240_244,248,249,252_257,261,270,271,275,276,286_288,302,356,360,364,368,377,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1506	4168	x	G L:0_3,6_8,10_14,19,21_24,27_30,32_37,39,43_46,48,49,53_55,70,72_80,84_89,97_99,102,109,110,112_118,121_129,131_133,135,138_140,165,166,168,170_174,196_208,210_212,214_223,226,230,235_238,240_244,248,249,252_257,261,270,271,275,276,286_288,302,356,364,368,377,381,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1507	360	x	G L:0_3,6_8,10_14,19,21_24,27_37,39,43_46,48,49,52_55,70,72_80,84_89,91,97_100,102,109,110,112_118,120_129,131_133,135,138_140,142,165,166,168,170_174,196_208,210_223,226_228,230,235_238,240_244,246,248,249,251_257,261,270,271,275,276,280,286_288,302,305,356,360,364,368,377,381,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1508	2746	x	L G:4,5,9,15_18,20,25,26,38,40_42,47,51,52,56_69,71,82,83,90_96,100,101,103_108,111,119,120,130,134,136,137,141_164,167,169,175_195,209,213,224,225,227,228,232_234,245,246,258_260,262_269,272_274,277,278,280,283_285,291_293,295_297,299_301,303_355,357_360,363,365_367,369_373,378_382,384,395,426,435,439,444,446_449,453,458,459
+SAR1509	3809	x	G L:0_3,6_8,10_14,19,21_24,27_30,32_37,39,43_46,48,49,53_55,70,72_80,84_89,97_99,102,109,110,112_118,121_129,131_133,135,138_140,165,166,168,170_174,196_208,210_212,214_223,226,230,235_238,240_244,248,249,252_257,261,270,271,275,276,286_288,302,356,364,368,377,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1510	1800	x	G L:0_3,6_8,10_14,19,21_24,27_30,32_37,39,43_46,48,49,53_55,70,72_80,84_89,97_99,102,109,110,112_118,121_129,131_133,135,138_140,165,166,168,170_174,196_208,210_212,214_223,226,230,235_238,240_244,248,249,252_257,261,270,271,275,276,286_288,302,356,364,368,377,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1511	2418	x	G L:0_3,6_8,10_14,19,21_24,27_30,32_37,39,43_46,48,49,53_55,70,72_80,84_89,97_99,102,109,110,112_118,121_129,131_133,135,138_140,165,166,168,170_174,196_208,210_212,214_223,226,230,235_238,240_244,248,249,252_257,261,270,271,275,276,286_288,302,356,364,368,377,383,385_394,396_425,427_438,440_443,445,450_452,454_457,460
+SAR1512	940	x	G L:0_3,6_8,10_14,19,21_24,27_30,32_37,39,43_46,48,49,53_55,70,72_80,84_89,97_99,102,109,110,112_118,121_129,131_133,135,138_140,165,166,168,170_174,196_208,210_212,214_223,226,230,235_238,240_244,248,249,252_257,261,270,271,275,276,286_288,302,356,364,368,377,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1513	3508	x	G L:0_3,6_8,10_14,19,21_24,27_30,32_37,39,43_46,48,49,53_55,70,72_80,84_89,97_99,102,109,110,112_118,121_129,131_133,135,138_140,165,166,168,170_174,196_208,210_212,214_223,226,230,235_238,240_244,248,249,252_257,261,270,271,275,276,286_288,302,356,364,368,377,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1514	2828	x	G L:0_3,6_8,10_14,19,21_24,27_30,32_37,39,43_46,48,49,53_55,70,72_80,84_89,97_99,102,109,110,112_118,121_129,131_133,135,138_140,165,166,168,170_174,196_208,210_212,214_223,226,230,235_238,240_244,248,249,252_257,261,270,271,275,276,286_288,302,356,364,368,377,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1515	827	x	G L:0_3,6_8,10_14,19,21_24,27_30,32_37,39,43_46,48,49,53_55,70,72_80,84_89,97_99,102,109,110,112_118,121_129,131_133,135,138_140,165,166,168,170_174,196_208,210_212,214_223,226,227,230,235_238,240_244,248,249,252_257,261,270,271,275,276,286_288,302,356,364,368,377,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1516	4109	x	G L:0_3,6_8,10_14,19,21_24,27_30,32_37,39,43_46,48,49,53_55,70,72_80,84_89,97_99,102,109,110,112_118,121_129,131_133,135,138_140,165_168,170_174,196_208,210_212,214_223,226,227,230,232,235_238,240_244,248,249,252_257,261,270,271,275,276,286_288,302,356,364,368,377,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1517	1052	clpP_2	G L:0_3,6_8,10_14,19,21_24,27_30,32_37,39,43_46,48,49,53_55,70,72_80,84_89,97_99,102,109,110,112_118,121_129,131_133,135,138_140,165,166,168,170_174,196_208,210_212,214_223,226,230,235_238,240_244,248,249,252_257,261,270,271,275,276,286_288,302,356,364,368,377,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1518	1795	x	G L:0_3,6_8,10_14,19,21_24,27_30,32_37,39,43_46,48,49,53_55,70,72_80,84_89,97_99,102,109,110,112_118,121_129,131_133,135,138_140,165,166,168,170_174,196_208,210_212,214_223,226,227,230,235_238,240_244,248,249,252_257,261,270,271,275,276,286_288,302,356,364,368,377,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1519	454	x	G L:0_3,6_8,10_14,19,21_24,27_30,32_37,39,43_46,48,49,53_55,70,72_81,84_89,97_99,102,109,110,112_118,121_129,131_133,135,138_140,143,144,165,166,168,170_174,196_208,210_212,214_223,226,230,235_238,240_244,248,249,252_257,261,270,271,275,276,286_288,302,356,364,368,377,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1520	375	x	G L:0_3,6_8,10_14,19,21_24,27_30,32_37,39,43_46,48,49,53_55,70,72_80,84_89,97_99,102,109,110,112_118,121_129,131_133,135,138_140,165,166,168,170_174,196_208,210_212,214_223,226,230,235_238,240_244,248,249,252_257,261,270,271,275,276,286_288,302,356,364,368,377,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1521	6742	x	L G:38,40,41,52,56_68,262_264,290,296,375,376
+SAR1522	3374	x	G L:0_3,6_8,10_14,19,21_24,27_30,32_37,39,43_46,48,49,53_55,70,72_80,84_89,97_99,102,109,110,112_118,121_129,131_133,135,138_140,165,166,168,170_174,196_208,210_212,214_223,226,229,230,235_238,240_244,248,249,252_257,261,270,271,275,276,286_288,302,356,364,368,377,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1523	675	x	G L:0_3,6_8,10_14,19,21_24,27_30,32_37,39,43_46,48,49,53_55,70,72_80,82,84_89,97_99,102,109,110,112_118,120_129,131_133,135,136,138_140,165,166,168,170_174,196_208,210_223,226,227,229,230,234_238,240_244,248,249,252_257,261,270,271,275,276,286_288,302,356,364,368,377,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1524	1821	x	G L:0_3,6_8,10_14,19,21_24,27_30,32_37,39,43_46,48,49,53_55,70,72_80,84_89,97_99,102,109,110,112_118,121_129,131_133,135,136,138_140,165_168,170_174,196_208,210_212,214_223,226,229,230,235_238,240_244,248,249,252_257,261,270,271,275,276,286_288,302,356,364,368,377,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1525	1610	virE	G L:0_3,6_8,10_14,19,21_24,27_30,32_37,39,43_46,48,49,53_55,70,72_80,84_89,97_99,102,109,110,112_118,121_129,131_133,135,136,138_140,165,166,168,170_174,196_208,210_223,226,227,229,230,235_238,240_244,248,249,252_257,261,270,271,275,276,286_288,302,356,360,364,368,377,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1526	3317	x	G L:0_3,6_8,10_14,19,21_24,27_30,32_37,39,43_46,48,49,53_55,70,72_80,84_89,97_99,102,109,110,112_118,121_129,131_133,135,138_140,165,166,168,170_174,196_208,210_212,214_223,226,229,230,235_238,240_244,248,249,252_257,261,270,271,275,276,286_288,302,356,364,368,377,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1527	4632	x	L G:5,31,47,51,52,56_68,246,259,279,291_293,295,300,301,303_322,324,325,327_354,357,366,367,370,372,373,382,395,426,444,458,459
+SAR1528	3199	x	L G:4,5,8,9,26,28_38,46_48,50_52,56_68,79,86_91,100,105,130,132,134,135,137,145,146,159,164,169,173,175_177,182_187,189_194,245,259,270,271,277_280,298,326,327,358,360,366,367,370_374,378_381,446,447,453,454
+SAR1529	1128:1	x	L G:4,5,8,26_38,46_48,51,56_68,79,86_91,100,105,123,131,132,134,135,137,145,146,159,164,169,173,175_177,182_187,189_194,245,259,270,271,277_280,283,284,298,303,326,327,360_362,366,367,370_374,378_381,446,447,454
+SAR1530	6046:1	x	L G:4,26,49,51,56_68,93_96,101,137,141,142,240,242,244,245,277,296,374,379_381
+SAR1531	773	x	G L:0_4,6,8,10_14,18_20,22_24,26,38_44,48,53_55,69_77,84_93,95_103,105,109_111,113_123,127_129,131_134,136,138_160,162_166,168,170_194,196_199,201_206,208_212,226,228,238,240,242_244,261,278_280,285,302,363
+SAR1533	6904	x	L G:8,9,30_38,56_68,100,101,105,226,278,298,371,378
+SAR1534	5352	x	L G:8,9,56_68,100,101,105,175,226,278,298,366,367,371,378
+SAR1535	4405	x	L G:8,9,56_68,100,101,105,175,226,278,296,298,366,367,371,378
+SAR1537	4120:1	x	L G:4,5,26,31,38,45,50_52,56_69,89_96,100,103,106_109,111,119,130,141_163,169,175,208,209,226,228,231,233,234,239,241,262_264,278,281,294,298,366,367,370_374,376,378
+SAR1538	2306	x	G L:0_3,6_14,19_24,27_30,32_37,39,43,44,48,49,53_55,70_77,79,80,83_88,97_99,102,110_115,117,118,124,125,127,136_140,165,166,168,174,185,186,193,196_207,210_212,220_222,228_230,237,242_244,254,261,302,343,389,454
+SAR1539	2124	x	L G:4,5,15,16,18,25,26,31,38,47,50_52,56_69,81,82,90_92,94,96,101,103_108,111,119,134,137,141_163,167,169,177_195,209,224,231_234,239,246,247,250,251,258_260,262_264,272_274,277,279,281_285,289_295,297,299_301,304_314,316_332,334_342,344_355,357,359,361_363,365,370,372_375,379_381,384,395,435,439,444,448,449,453,458,459
+SAR1540	3412	x	L G:4,5,15,17,18,25,26,31,38,47,50_52,56_69,81,82,90_96,103_108,111,119,120,130,134,137,141_163,167,169,176_195,209,224,228,231_234,239,245_247,250,251,258_260,262_264,272_274,277,279,281_285,289_295,297,299_301,303_355,357,359,361_363,365,370,372_375,379_381,384,395,426,435,439,444,448,449,453,458,459
+SAR1541	2198	polA	G L:0_3,6_8,10_14,19,21_24,27_30,32_37,39,43_46,48,49,53_55,70,72_80,83_89,97_99,102,109,110,112_118,121_129,131_133,135,136,138_140,165,166,168,170_174,196_208,210_223,226_230,235_238,240_244,248,249,252_257,261,270,271,275,276,286_288,302,356,364,368,377,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1542	2949	x	G L:0_3,6_8,10_14,17_19,21_24,27_30,32_37,39,43_46,48,49,52_55,70,72_80,83_91,97_99,102,109,110,112_118,121_129,131_133,135,136,138_140,165,166,168,170_174,196_208,210_223,226,227,229,230,235_238,240_244,248,249,252_257,261,270,271,275,276,286_288,302,356,360,364,368,377,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1543	576	x	G L:0_3,6_8,10_14,19,21_24,27_30,32_37,39,43_46,48,49,53_55,70,72_80,83_89,97_99,102,109,110,112_129,131_133,135,136,138_140,165,166,168,170_174,196_208,210_223,226_230,235_238,240_246,248,249,252_257,261,270,271,275,276,286_288,302,356,364,368,377,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1544	1673	x	G L:0_3,6_8,10_14,19,21_24,27_30,32_37,39,43_46,48,49,53_55,70,72_80,83_89,97_99,102,109,110,112_118,121_129,131_133,135,136,138_140,165,166,168,170_174,196_208,210_223,226_230,235_238,240_244,248,249,252_257,261,270,271,275,276,286_288,302,356,364,368,377,383,385_394,396_425,427_434,436_438,440_443,445,450_452,454_457,460
+SAR1545	2174	x	L G:5,9,15_18,20,26,31,38,40_42,47,50_52,56_68,81,82,90_96,100,101,106_108,111,119,120,130,134,137,141,142,164,169,175,209,224,225,228,231,233,234,239,245_247,250,251,258_260,262_269,272_274,277_285,289_301,303_355,357_363,365_367,369_376,378_382,384,395,426,435,439,444,446_449,453,458,459
+SAR1546	6081	x	L G:66_68
+SAR1547	2675	x	G L:0_3,6_8,10_14,19,21_24,27,28,39_42,45,46,48,53_55,70,72_74,78,80,84,85,97_99,102,106_110,112_120,124_130,132,137_140,165,166,168,173,174,176,196,197,207,208,210_212,214,220_223,228_230,235_238,241_244,248,249,252_257,261,270,271,275,276,286_288,296,302,356,364,368,377,383,385_394,396_434,436_438,440_443,445,450_452,455_457,460
+SAR1548	862	x	L G:5,9,17,18,20,26,31,38,47,50_52,56_68,90_92,100,101,134,141,142,164,169,175,209,224,225,227,239,245_247,250,251,258_260,262_269,272_274,277_285,289_293,295_301,303_355,357,359_363,365_367,369_376,378_382,384,395,435,439,444,446_449,453,458,459
+SAR1549	4386	x	L G:5,6,9,15_18,20,26,31,38,40_42,47,50_52,56_68,90_96,100,101,106_108,134,136,137,141,142,164,169,175,209,224,225,227,228,239,245_247,250,251,258_260,262_269,272_274,277_285,289_293,295,297_301,303_355,357,359_363,365_367,369_376,378_382,384,395,435,439,444,446_449,453,458,459
+SAR1550	6704	x	L G:5,6,9,15_18,20,26,31,38,40_42,47,50_52,56_68,90_96,100,106_108,134,136,137,141,142,164,169,175,209,224,225,227,228,239,245_247,250,251,258_260,262_264,266_269,272_274,277_285,289_293,295,297_301,303_355,357,359_363,365_367,369_376,378_382,384,395,435,439,444,446_449,453,458,459
+SAR1551	1987	x	L G:9,20,38,51,52,56_68,90_92,100,136,175,209,239,246,247,250,251,258,259,277_282,285,289_293,297,298,300,301,303_325,327_355,357,359_363,366,367,369_371,374,378,381,382,384,395,439,447,453,458,459
+SAR1552	2811	x	L G:9,20,38,51,52,56_68,82,83,90_92,100,136,175,209,239,246,247,250,251,258,259,277_282,285,289_293,297,298,300,301,303_325,327_355,357,359_363,366,367,369_371,374,378,381,382,384,395,439,447,453,458,459
+SAR1553	8693	x	L G:9,20,38,51,52,56_68,90_92,100,175,209,239,246,247,250,251,258,259,277_282,285,289_293,297,298,300,301,303_325,327_337,339_355,357,359,361_363,366,369_371,374,381,382,384,395,439,447,453,458,459
+SAR1554	1569	x	G L:0_8,10_15,17_20,22_37,39_46,48_50,53_55,69_74,78,80_82,84,85,87_89,93_99,101_128,131_136,138_168,170,171,173,174,176_207,209_228,230_233,235,236,238,240_244,262,263,265_273,275,276,285,294,302,358_360,364,365,367,368,372,373,379
+SAR1555	2777	x	L G:38,52,56_68,137,228,234,279,378,381,444
+SAR1556	2882	x	L G:38,52,56_68,137,228,234,279,378,381,444
+SAR1557	5859	x	L G:6,18,38,56_68,81,137,173,200,234,236,279,378,381,444
+SAR1558	2831	x	L G:4,25,29,30,32_38,52,56_69,71,82,83,87,88,93_96,103_108,111,119,120,130,137,143_163,167,176_195,213,227,228,231_233,279,294,326,358,360,378,381,446
+SAR1559	6461	x	L G:4,25,29,30,32_38,52,56_69,71,87,88,93_96,103_108,111,119,120,130,137,143_163,167,176_195,213,227,228,231_234,279,294,326,358,360,378,381,446
+SAR1561	8952	x	L G:29,30,32_38,52,56_63,65_68,104,106_108,122,123,130,131,137,169,176,279,454
+SAR1562	851	int	G L:0_3,8,10_14,19,21_24,27,28,39,46,48,53_55,70,72_74,80,84_86,93_99,102,109,110,112_118,124,125,127_129,132,138_140,165,166,168,173,174,196,197,207,208,210_212,214_223,229,230,235_238,241_244,248,249,252_257,261,270,271,275,276,286_288,302,356,364,368,377,383,385_394,396_434,436_438,440_443,445,450_452,455_457,460
+SAR1567	1365	srrB	G L:0_2
+SAR1568	1076	srrA	G L:0_2,78,112
+SAR1569	1188	rluB	G L:0_2
+SAR1570	819	scpB	G L:0_2,78
+SAR1571	1240	scpA	G L:0_2,120,213
+SAR1572	3321	x	G L:0_3,14,146,176
+SAR1573	1172	xerD	G L:0_2
+SAR1574	3224	fur	G L:0_2
+SAR1575	1423	nudF	G L:0_2,241,262,285
+SAR1576	3650	opuCA	G L:0_2
+SAR1577	4113	x	G L:0_3
+SAR1578	2844	x	G L:0_2,86
+SAR1579	1891	proC	G L:0_2
+SAR1581	3116	rnz	G L:0_2,119,121,213
+SAR1582	268	zwf	G L:14,23
+SAR1583	2892	graE	G L:0_2,14,120
+SAR1584	262	malA	G L:0_2,119_121,213
+SAR1585	1687	malR	G L:0_2,426
+SAR1586	3129	cysM	G L:0_2
+SAR1587	7080	x	L G:26_47,49,50,52_59,61_68
+SAR1589	3507	gnd	G L:119_121,213,241
+SAR1590	33	x	G L:0_2,29_38,81,82,119
+SAR1591	752	x	G L:0_2,73,376
+SAR1592	1770	x	G L:0_2,213
+SAR1593	1958	bmfBB	G L:0_2,70
+SAR1594	1010	bfmBAB	G L:0_2,14,89,110
+SAR1595	2328	bfmBAA	G L:0_2
+SAR1596	3426	lpdA_1	G L:0_2,110
+SAR1597	2139	recN	G L:0_2,38,73,89,109,110,121,131,142
+SAR1598	1759	argR	G L:0_2,112,241
+SAR1599	2369	ispA	G L:0_3,150
+SAR1600	7022	xseB	G L:0_3,89,109,110
+SAR1601	236	xseA	G L:0_2,89,246
+SAR1602	2181	nusB	G L:0_2
+SAR1603	4902	treC	G L:0_2,100
+SAR1604	743	accC	G L:0_2
+SAR1605	2247	accB	G L:0_2
+SAR1606	1421	efp	G L:241
+SAR1607	3168	pepQ1	G L:0_2
+SAR1608	2841	x	G L:0_2,89,110,111,150
+SAR1609	2950	x	G L:0_3,73
+SAR1610	2682	lipM	G L:0_2,14,98,213
+SAR1611	540	x	G L:0_2
+SAR1612	3948	gcvPB	G L:0_2,110,118,241
+SAR1613	1573	gcvPA	G L:1,2
+SAR1614	641	gcvT	G L:0_2,53,118,241
+SAR1615	3315	aroK	G L:0_3,89,101,109,110,144,167,241
+SAR1616	370	comGF	G L:0_3,165,177
+SAR1617	1826	holB	G L:0_3,96,106_108
+SAR1618	1159	comGD	G L:0_3,241
+SAR1619	1462	comGC	G L:0_3
+SAR1620	283	comGB	G L:0_3,49,95,96,116
+SAR1621	1399	comGA	G L:0_2,29_38,53,211
+SAR1622	1210	x	G L:0_2,39
+SAR1623	2302	metS	G L:0_3
+SAR1624	2085	glcK	G L:0_2
+SAR1625	1238	x	G L:0_3
+SAR1626	1553	gluP	G L:0_2
+SAR1627	1969	fthC	G L:0_3,7,88,95,241
+SAR1628	4662	rpmG	G L:0_3,249_251,320_322
+SAR1629	120	pbp3	G L:0_2,89,143,146
+SAR1631	4079	zur	G L:0_2,241
+SAR1632	1671	mreB	G L:0_2,213
+SAR1633	2386	mreA	G L:0_2,228,241
+SAR1634	1692	nfo	G L:0_2
+SAR1635	1466	cshB	G L:0_2,120,213,241
+SAR1636	1754	prs	G L:0_2,241,242
+SAR1637	333	trmK	G L:0_2,130,137,241
+SAR1639	392	dnaG	G L:0_2,14,116,120
+SAR1640	2055	yqfL	G L:0_2,121,131,213
+SAR1643	1638	recO	G L:0_2
+SAR1644	2190	era	G L:124
+SAR1645	4728	cdd	G L:0_2
+SAR1646	1449	dgkA	G L:0_3
+SAR1647	4140	ybeY	G L:0_3,14
+SAR1648	3099:1	phoH	G L:0_2,7,14,109,213,317
+SAR1649	1049	cysK	G L:0_2
+SAR1650	2563	x	G L:73,88
+SAR1651	1632	yqeZ	G L:0_2
+SAR1652	4664	rpsU	G L:6
+SAR1654	1644	rsmE	G L:0_2,14
+SAR1655	20	prmA	G L:0_2
+SAR1658	3976	grpE	G L:0_2,14,161
+SAR1659	1822	hrcA	G L:0_2
+SAR1660	904	hemN	G L:0_2,53
+SAR1662	1966	lepA	G L:0_2,14,73
+SAR1663	3146	rpsT	G L:0_2
+SAR1664	3739	holA	G L:0_2,88,89,109,110,241
+SAR1665	143	comEC	G L:0_2
+SAR1666	1709	comEB	G L:0_2
+SAR1667	3854	comEA	G L:0_3,190,191,440
+SAR1668	2778	ubiE	G L:0_3,89,133,134,236
+SAR1669	4343	rsfS	G L:0_2
+SAR1670	3617	cysE	G L:0_2,241
+SAR1671	2740	nadD	G L:0_2
+SAR1672	329	yhbY	G L:0_3,129
+SAR1673	45	aroE	G L:0_3,73,122,150,241
+SAR1674	1750	yqeH	G L:0_2
+SAR1675	2842	yqeG	G L:0_2
+SAR1676	3579	mtnN	G L:0_2
+SAR1677	3665	x	G L:0_3
+SAR1680	4914	x	L G:26,28_30,32_35,37,38,40_42,45_48,50_68,112,195_197,291
+SAR1683	1036	mntH	G L:0_2,87,93,118,356
+SAR1684	1106	lamB	G L:0_2,10,52
+SAR1685	1353	accC	G L:0_2
+SAR1686	3465	accB	G L:0_3,29,435
+SAR1687	1667	rpoC	G L:0_3
+SAR1688	4909	kipI	G L:0_3,213
+SAR1689	2338	greA	G L:0_2
+SAR1690	3831	udk	G L:0_2
+SAR1691	2162	fus	G L:29,85,150,174,213,245
+SAR1692	2735	tuf	G L:0_2
+SAR1693	3618	gidB_1	G L:0_2,123,377
+SAR1694	1020	x	G L:0_2,234
+SAR1695	16	yrrK	G L:0_2
+SAR1696	4692	araB	G L:0_2
+SAR1697	804	alaS	G L:0_2,230,232
+SAR1698	11	recD	G L:0_2,14
+SAR1699	27	x	G L:0_2,53,80
+SAR1701	658	trmU	G L:0_2
+SAR1702	298	iscS	G L:0_2
+SAR1703	627	x	G L:0_2,64,241
+SAR1705	2942	csbD	G L:0_3,78,100
+SAR1706	4991	cymR	G L:0_2,14,81
+SAR1707	1960	rarA	G L:0_2,14,289
+SAR1708	3582	x	G L:0_2,85,97,108
+SAR1709	10314	x	G L:0_3,83,150
+SAR1710	81	aspS	G L:131,245
+SAR1711	328	hisS	G L:0_2
+SAR1713	2292	dtd	G L:0_2,9,90,91,110,179,215_219,227,240,241,323_327,346_354,357,361_363,379
+SAR1715	1193	apt	G L:0_2
+SAR1716	198	recJ	G L:0_2
+SAR1717	1123	secD	G L:0_2,73,227,241
+SAR1718	1948	yajC	G L:0_2
+SAR1720	906	queA	G L:0_2
+SAR1721	99	ruvB	G L:0_2,29
+SAR1722	3658	ruvA	G L:0_2
+SAR1723	2266	pheB	G L:0_2
+SAR1724	499	cgtA	G L:53,206
+SAR1725	4848	rpmA	G L:122
+SAR1726	2001	x	G L:0_2,122
+SAR1727	1283	rplU	G L:29,30,70,89,110
+SAR1728	39	mreD	G L:0_2
+SAR1729	1207	mreC	G L:0_2
+SAR1730	122	x	G L:0_2,379
+SAR1731	4388	x	G L:0_3,379
+SAR1732	901	x	G L:0_3,379
+SAR1741	889	comC	G L:0_3
+SAR1742	1816	folC	G L:0_2,121
+SAR1743	314	valS	G L:89
+SAR1744	3443	tag	G L:0_2,8
+SAR1745	740	amoA	G L:0_2,38
+SAR1747	2552	hemL	G L:0_2
+SAR1749	2564	hemD	G L:0_2,86,188
+SAR1750	2381	hemC	G L:0_2,14,120,213
+SAR1751	1360	hemX	G L:0_2
+SAR1753	597	ysxC	G L:0_2,112
+SAR1754	336	clpX	G L:73,109,110,144,176
+SAR1755	784	tig	G L:89,110
+SAR1756	2212	x	G L:0_3,127,176
+SAR1757	396	x	G L:0_2,7,95
+SAR1759	1760	rpmI	G L:0_2
+SAR1760	2203	infC	G L:29,79,89,110,126,167,232,241,377
+SAR1761	807	lysP	G L:0_2,73,241
+SAR1762	2202	thrS	G L:0_2
+SAR1763	1431	dnaI	G L:0_2,14,408
+SAR1764	169	dnaB	G L:0_2,408
+SAR1765	1197	nrdR	G L:0_2,73
+SAR1766	520	gap_1	G L:0_2,110,118,241
+SAR1767	2402	coaE	G L:0_2,7
+SAR1768	1648	mutM	G L:0_2,123
+SAR1769	1219	polA	G L:0_2,14,120
+SAR1770	1386	x	G L:0_3,96,106_108
+SAR1771	1604	phoR	G L:0_2,122
+SAR1772	957	phoP	G L:0_2,101,119,213
+SAR1773	3879	icd	G L:53_55,84
+SAR1774	4832	citZ	G L:0_2,119,120,213
+SAR1775	2065	cycA	G L:0_2,176,234
+SAR1777	2671	pfkA	G L:0_2
+SAR1778	838	accA	G L:234
+SAR1779	2042	accD	G L:2,110
+SAR1780	977	maeB	G L:0_2,122,176
+SAR1781	660	dnaE	G L:0_2,454
+SAR1782	547	nrnA	G L:0_2,34,454
+SAR1783	428	x	G L:0_2,14,454
+SAR1784	141	uspA_2	G L:0_2,89,454
+SAR1785	3860	mntC	G L:0_2,454
+SAR1786	768	pepQ	G L:0_2,454
+SAR1787	131	ald	G L:0_2,454
+SAR1788	753	uspA_1	G L:0_2,454
+SAR1789	2509	ackA	G L:0_2,7,176,241,454
+SAR1790	204	sirR	G L:0_2,454
+SAR1791	3666	tpx	G L:0_2,454
+SAR1792	1664	tagA	G L:0_2,259,454
+SAR1793	3338	thiI	G L:0_2
+SAR1794	2566	iscS	G L:0_2,89
+SAR1796	1377	x	G L:0_3,426
+SAR1797	1778	rpsD	G L:89
+SAR1798	3235	glpQ3	G L:0_3
+SAR1799	1095	ohr	G L:0_3,241
+SAR1800	1112	x	G L:0_2
+SAR1801	1832	serA	G L:0_2,14,38
+SAR1802	1424	tagD	G L:0_3,50,150,245
+SAR1803	923	nagE	G L:0_2,14,150,408
+SAR1804	1893	plsC	G L:0_2
+SAR1805	1631	htrA1	G L:0_2,73
+SAR1806	172	tyrS	G L:0_3,73
+SAR1807	2228	sgtA	G L:0_2,7,73,89,109,110,120,126
+SAR1810	633	fhs	G L:0_2,14,110,119,227
+SAR1811	982	acsA	G L:0_2,28,45,85,188,234,235
+SAR1812	1278	acuA	G L:0_2,147
+SAR1813	36	acuC	G L:0_2,180,181,236
+SAR1814	705	ccpA	G L:0_2,165
+SAR1815	5268	aroF	G L:89
+SAR1816	275	x	G L:0_3,78,108,109
+SAR1818	1269	murC	G L:78,146
+SAR1819	1242	spoIIIE	G L:0_3,213,402
+SAR1820	14873	x	L G:26,28,39_42,44_47,49_52,56_63,65_68
+SAR1821	1502	x	G L:0_2,211
+SAR1822	2024	x	G L:0_2
+SAR1823	1438	pepA1	G L:0_2,7,89,110
+SAR1824	1907	x	G L:0_2
+SAR1825	1761	x	G L:0_2
+SAR1826	5714	x	L G:0,4,14,19,27_29,39_42,47_69,80,85,92_97,100,101,104,105,107,108,111,112,115,117,119_135,171,172,175_196,199,200,202_206,208,209,214,226,228,262,265_269,271_273,280,283,284,294,357,359_363,421,423,424
+SAR1827	2403:1	tnp5	L G:0,4,8_12,14,19,27_29,39_42,47_69,80,85,92_94,96,97,100,101,104,105,107_112,115,119_125,127_135,165,171,172,175,177_196,199,200,202_206,208,209,214,223_226,228,239,262_269,271_273,280,283,284,290,294,357,359_363,366,367,369,421,423,424
+SAR1828	3714	hin	G L:3,5,6,15_18,20_25,37,46,70,74,76_79,81_84,86_89,91,92,99,102,103,106,113,116,121,136,139_142,155,166,167,169,170,173,174,197,198,201,207,210_214,220_222,227_230,233,241_244,267,270,276,279,285,289,304,308_310,358,364,368,370,371,374,379,384,389,401,408,414_416,422,425,432,433,454
+SAR1829	826	mecI	G L:3,4,6,22,23,43_45,71,72,74,76_79,81_85,92,99,106,113,116,117,121,136,138_142,155,166,167,169,170,196,197,211,220_222,229,230,233,242_244,267_270,276,279,285,289,304,308_310,358,364,368,370,371,379,384,389,408,414_416,422,425,432,433,454
+SAR1830	1861	blaR1	G L:3,4,6,14,22,23,39,43_45,71,72,74,76_79,81_85,92,99,106,109,113,136,138_142,155,165_167,169,170,197,211,220_222,229,233,242_244,267_270,276,279,285,289,304,308_310,358,364,368,370,371,379,384,389,408,414_416,422,425,432,433,454
+SAR1831	1157	blaZ	G L:3,4,6,22,23,37,39,43_45,71,72,74,76_79,81_85,88,89,99,106,109,110,113,117,118,136,138_142,144,155,166,167,169,170,180,197,211,220_222,225,229,233,242_244,267_270,276,279,285,289,304,308_310,358,364,368,370,371,379,384,389,408,412,414_416,422,425,432,433,454
+SAR1833	4124	trmB	G L:0_2,143
+SAR1835	1487	dat	G L:0_2,89,109_111,126,131,143,176,211,379
+SAR1836	3062	pepV	G L:0_2,79
+SAR1837	2041	x	G L:0_2
+SAR1838	251	rsuA	G L:0_2,14,109,121,213
+SAR1839	92	x	G L:0_2
+SAR1840	330	x	G L:0_2,38,177_181,184_186,194,220_222
+SAR1841	1133	sasC	G L:0_2,14,40,41,78,97,110,199,297
+SAR1842	3349	moeB	G L:0_3
+SAR1843	2183	leuS	G L:14,85,120,150,213
+SAR1844	1992	x	G L:0_2,126_128
+SAR1845	3294	x	G L:0_2
+SAR1846	3640	x	G L:0_3,343,344
+SAR1847	1593	rot	G L:0_2
+SAR1848	708	pldB	G L:0_2,14,234
+SAR1849	1417	fadM	G L:0_2,27
+SAR1850	1900	ribH	G L:0_2
+SAR1851	441	ribA	G L:0_2,14,71
+SAR1852	1550	ribE	G L:0_2
+SAR1853	2054	ribD	G L:0_2
+SAR1854	2342	x	G L:0_2,109,146
+SAR1855	1176	arsR	G L:0_3
+SAR1856	1226	arsB	G L:0_2
+SAR1857	1467	x	G L:0_2,120,123,140,213
+SAR1858	82	bacA	G L:0_3,89,95,109,110,128,166
+SAR1859	817	sigS	G L:0_3,32,74_77,82,176
+SAR1860	3492	x	L G:4_14,26_68,87_91
+SAR1861	2884	x	G L:0_3
+SAR1862	5689	x	L G:4_68,85_91
+SAR1863	3424	x	L G:3_10,12_68,70_77,85_91
+SAR1864	1359	tal	G L:0_2
+SAR1865	2288	x	G L:0_3
+SAR1866	2611	crcB	G L:0_3,89
+SAR1867	2404	crcB2	G L:0_3
+SAR1868	732	yvgN_2	G L:0_2,131,145
+SAR1869	2718	x	G L:0_2
+SAR1870	2662	metK	G L:0_2
+SAR1871	2816	pckA	G L:0_2,88,109,145,147
+SAR1873	2037	x	G L:0_2
+SAR1874	833	ytkD	G L:0_2,119,120
+SAR1875	692	yidD	G L:0_2
+SAR1876	689	menC	G L:0_2,139
+SAR1877	1825	menE	G L:0_2
+SAR1878	394	x	G L:0_3
+SAR1879	1040	x	G L:0_3,170_172,214
+SAR1880	2046	gntP	G L:0_2,177,214,245,391
+SAR1881	534	gntK	G L:0_2,84,161
+SAR1882	1561	gntR	G L:0_2,6,84,161,198_207
+SAR1883	1499	x	G L:0_2,8_14,84,161,198_209,212,270
+SAR1884	581	x	L G:26_68,85,86
+SAR1885	8347	x	L G:26_68,85,86
+SAR1886	1201	x	L G:3,6,7,26_68,81_83,85,86,98,99,102,198_212
+SAR1889	2756	x	L G:6,7,26_40,42_69,78,80,92_94,96,97,113_118,195_197
+SAR1890	1208	x	L G:6,7,15_72,79,80,92_94,96,97,112_115,117,118,195_197
+SAR1893	2217	x	L G:4_7,15_26,28_69,78,83,85_91,98,99,102_111,116_160,162_197,208_212
+SAR1894	3223	x	L G:4,5,15_72,78,80,84,92,98,99,102,112,116_118,195_197,208_212
+SAR1895	719	x	L G:3_7,26_44,46_69,83,85_91,93_97,116_118,195_197
+SAR1896	1074	x	L G:3_7,26_69,83,85_88,90,91,93_97,113_118,195_197
+SAR1897	133	x	L G:6,7,27_40,42_47,49_69,97
+SAR1898	2505	hsdS	L G:6,7,26_28,39_69,97
+SAR1899	1509	hsdM	G L:0_2,4,53,95,228,234
+SAR1902	2432	splE	L G:6,7,26_69,71,72,81,84_86,92,98,99,101,103,105,109_112,116,117,119_123,129_131,133_144,146_158,160,162_172,174_197,208_211
+SAR1905	3112	splE	L G:6,7,26_38,40_72,78,85,86,92_97,112
+SAR1906	129	splC	G L:0_5,8_25,73_77,85,87_91,113_115,124,125,161,198_207,228
+SAR1908	8136	x	L G:26_69,85,86,102,112,116_118
+SAR1910	913	x	L G:3,26_34,36_69,78,85,86,102,112,116_118
+SAR1911	4205	x	L G:3,26_69,78,85,86,102,112,116_118
+SAR1913	1451	x	G L:0_2,6,7,15_25,70_77,79,81,82,87_99,103_111,119_197,208,209,386
+SAR1916	4533	entG	G L:0_2,6,7,15_25,69_77,79,81_84,92_99,102_112,116_197,208,209,386
+SAR1917	1215	sen	G L:0_2,6,7,9,15_25,69_77,79,81_84,92_99,102_112,116_197,208,209,246,355,386
+SAR1918	1034	entB	G L:0_2,6,7,15_25,40,69,71_77,79,81_84,86,92_99,102_112,116_197,208,209,386
+SAR1919	3537	sei	G L:0_2,6,7,14_25,69,71_77,79,81_84,92_99,102_112,116_197,208,209,211,271,386
+SAR1920	1304	sem	G L:0_2,6,7,15_25,69,71_79,81_84,88,92_99,102_112,116_197,208,209,214
+SAR1921	524	entD	G L:0_2,6,7,15_25,69,71_77,79,81_84,92_99,102_112,116_197,208,209
+SAR1922	1202	x	G L:0_2,119,121,307
+SAR1923	500	hemG	G L:0_2,119_121,213
+SAR1924	3203	hemH	G L:0_2
+SAR1925	2048	hemE	G L:0_2
+SAR1926	1198	traP	G L:0_2,45,70,80,435
+SAR1927	663	ecsB	G L:0_2,70,110
+SAR1928	1917	ecsA	G L:0_2
+SAR1929	4255	hit	G L:0_2
+SAR1930	4	gvpP	G L:0_2,125
+SAR1930a	5864	x	L G:26_68
+SAR1931	834	x	G L:0_2,95,241
+SAR1932	1702	prsA	G L:0_2,81,82
+SAR1933	3525	cbf1	G L:0_2
+SAR1934	2002	x	G L:0_2,89,110
+SAR1935	746	nrdI	G L:0_2,120,146
+SAR1937	1597	nrdF	G L:0_2
+SAR1938	3758	x	G L:0_2
+SAR1939	1389	yhcR	G L:0_2
+SAR1940	935	yhcS	G L:0_2,119,120,198
+SAR1941	3101	rluA	G L:0_2,14,85,103,140
+SAR1943	218	x	G L:0_3
+SAR1944	3281	x	L G:15_68,70,82_84,86,116_118
+SAR1945	3564	x	G L:0_2
+SAR1946	5272	trmL	G L:0_2,7,89,214
+SAR1947	2456	queG	G L:0_2,73,232
+SAR1948	1174	glnQ	G L:0_2
+SAR1949	35	pepT	G L:0_2,213
+SAR1950	1137	pfoS/R	G L:0_3
+SAR1951	6977	perR	G L:0_2,14,233
+SAR1952	714	pdxB_3	G L:0_2,42,246
+SAR1953	3389	bcp	G L:0_2
+SAR1954	1302	hemL_2	G L:73,119,121,213
+SAR1955	1639	x	G L:0_2,293
+SAR1956	289	msbA	G L:0_2
+SAR1957	3360	x	G L:0_2
+SAR1958	2296	mutY	G L:0_2,146
+SAR1959	512	yfhP	G L:0_2
+SAR1960	1351	tagG	G L:0_3,14
+SAR1961	13	secA	G L:0_2,146
+SAR1962	619	prfB	G L:0_2,78,245
+SAR1963	306	recX	G L:0_2,89,109,110,246
+SAR1964	2051	mgt	G L:0_2
+SAR1965	1265	yfkM	G L:0_2
+SAR1966	13909	x	L G:4_14,26_72,78,81_84,87_96,98_118,136_142,170_174,195_212
+SAR1967	2985	x	G L:0_2
+SAR1968	3907	uvrA	G L:0_3
+SAR1969	62	pepS	G L:0_2
+SAR1970	2983	yfkK	G L:0_3,8_14
+SAR1972	1512	x	G L:0_2,86
+SAR1973	135	yihY	G L:0_2,14
+SAR1974	997	vraR	G L:0_2,236
+SAR1976	1575	trxB	G L:0_2
+SAR1977	3986	x	G L:0_2
+SAR1978	1889	map	G L:0_2,20,48
+SAR1980	1585	x	G L:0_2,285
+SAR1981	756	x	G L:0_3,402
+SAR1982	1865	cobQ	G L:0_2,110,402
+SAR1983	1956	murE2	G L:0_2,402
+SAR1984	1352	ftnA	G L:0_2,402
+SAR1985	2383	polC	G L:0_3,81,82,402
+SAR1986	1005	dinB	G L:0_2,402
+SAR1987	423	gapR	G L:0_3,100,112,193,294,402
+SAR1988	2578	rumA	G L:0_2,32,38,70,109,144,195,402,450
+SAR1989	3550	dagK	G L:0_2,112,402
+SAR1992	3227	gatA	G L:7
+SAR1993	4734	gatC	G L:0_2
+SAR1994	1932	putP	G L:0_2,120
+SAR1995	3174	camS	G L:0_2
+SAR1996	849	ligA	G L:0_2,147
+SAR1997	1330	pcrA	G L:7,88,164
+SAR1998	1905	pcrB	G L:0_2,119,227,245
+SAR1999	4069	x	G L:0_2
+SAR2000	1253	purB	G L:232
+SAR2001	2541	sspP	G L:0_3,276
+SAR2002	4640	sspA	G L:0_3
+SAR2003	2667	yebG	G L:0_14,73_77,97,100_102,208_212
+SAR2004	644	x	G L:0_2
+SAR2005	291	nadE	G L:0_2,232
+SAR2006	1096	pncB	G L:0_2,119
+SAR2007	595	nos	G L:0_2
+SAR2008	227	pheA	G L:0_2,118,129,167,232
+SAR2009	363:1	sdcS	G L:0_2,226,262
+SAR2010	2256	x	G L:0_3,119,120,137,213
+SAR2011	3439	entB3	G L:0_2,73
+SAR2012	3093	ppaC	G L:0_2,213
+SAR2013	613	aldH	G L:0_2,14
+SAR2014	1310	ykgB	G L:0_2
+SAR2015	1661	yolD	G L:0_3
+SAR2016	8314	x	G L:0_3
+SAR2017	2631	ptsG	G L:0_2
+SAR2018	545	x	G L:0_3
+SAR2019	4468	x	G L:0_2,100
+SAR2020	3005	x	G L:0_2
+SAR2021	1984	poxB	G L:0_2,234
+SAR2022	2422	pmtD	G L:0_2,234
+SAR2023	549	pmtC	G L:0_2
+SAR2024	1708	pmtB	G L:0_2,110,120,213
+SAR2025	2068	pmtA	G L:0_2,98,108
+SAR2026	2698	x	G L:0_2
+SAR2027	1138	x	L G:4_68,79_86
+SAR2028	2123	x	G L:0_2,108,121,213
+SAR2030	634	map	G L:0_3,39,46,51,56,79,93,95_97,115_117,177,195,201,206,265_269,357,437
+SAR2032	7124	hlb	G L:0_2,4,13,15_20,33,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,184,192,213,229,231,237,238,240,243,262,263,290,294,302,318,363,367,379,389,453,454
+SAR2033	4790	x	G L:0_2,4,13,15_20,28,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,184,192,213,229_231,237,238,240,243,247,262,263,265_269,290,294,302,318,363,367,379,389,453,454
+SAR2034	533	x	G L:0_2,4,13,15_20,43,44,48,50,63,78,81_84,90,92,95,96,99,100,102,111,120,130,136,138_140,145,167,175,184,192,213,229,231,237,238,240,243,262,263,294,302,318,363,367,379,389,394,453,454
+SAR2035	6276	scn	G L:0_2,4,13,15_20,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,176,184,192,213,229,231,237,238,240,243,262,263,294,302,318,363,367,379,389,394,453,454
+SAR2036	1568	chp	G L:0_4,7,13,15_20,26,27,43,44,48,50,51,53_55,63,70,74,75,78,80_85,89,90,92_96,98_133,135_140,145,164,166,167,169,173_195,198_206,208,209,211,213,215_222,229_231,233,236_238,240,243,246,262,263,277,290,294,302,318,363,367,379,389,453,454
+SAR2039	3993:1	sak	G L:0_2,4,13,15_25,43,44,48,50,63,74_78,81_84,87,90,92,99,100,102,111,113,116,130,136_140,145,167,175,184,192,195_206,213,229,231,237,238,240,262,263,294,302,318,363,367,379,389,453,454
+SAR2040	2812	ami	G L:0_2,4,13,16,18_25,43,44,47,48,63,74_77,84,89,92,99,100,102,116,122,123,129_131,136,138_140,145,167,175,184,192,195_206,229,231,237,238,262,263,294,302,318,363,367,379,389,407,453
+SAR2041	2701	x	G L:0_2,4,13,16,18_25,43,44,48,49,63,74_77,84,87,92,99,100,102,116,122,130,136,138_140,145,167,175,184,192,195_206,229,231,237,238,262,263,294,302,318,363,367,389,453
+SAR2042	3802	x	G L:0_2,4,6,13,15_26,43,44,47,48,50,63,74_78,81_84,92,99,100,102,116,119,120,130,136,138_140,145,167,175,184,192,195_206,231,237,238,243,262,263,294,302,318,363,367,389,453
+SAR2043	316	entA	L G:6,7,46,47,49,51,52,56_62,64_68,71,72,83,98,103,104,106_110,112,119_129,131_133,135,164,166,169_174,176_183,185_191,193,194,198_206,215_223,228,230,233_235,241,258,265_273,275_277,357,359_362,364_366,368,369,371_374
+SAR2044	9497	x	L G:46,47,49,52,56_62,64_68,71,72,98,112,170_174,198_206,223,230,233_235,241,258,265_273,275_277,357_362,364_366,368,369,371_374
+SAR2045	4044	x	L G:7,26,28_30,32_37,43_47,49,52,56_62,64_68,71,72,75_77,79,80,86_88,93_96,98,103_109,112,117_133,135,164,166,169_174,177_183,185_191,193,194,198_206,210,211,215_223,226_230,233_235,241,258,265_273,275_277,357_362,364_366,368,369,371_374
+SAR2046	4278	x	L G:26,28_30,32_37,43,44,46,47,49,52,56_62,64_68,71,72,75_77,79,80,86,93_96,98,103_110,112,117_133,135,164,166,169_174,176_183,185_191,193,194,198_206,210,211,215_223,226,228_230,233_235,241,258,265_273,275_277,357_362,364_366,368,369,371_374
+SAR2047	12959	x	G L:0_2,4,6,7,13,15_26,46,48,50,63,71,72,74,78,80_84,86,90,92_96,98_100,102_112,116_118,121_133,135,136,138_140,145,164,166,167,169,173_206,210,211,215_223,227_231,233_235,237,238,241,243,258,262,263,265_270,272,273,275_277,282,294,302,318,357_369,371_374,382,384,389,453
+SAR2048	2642	x	G L:0_2,4,6,7,13,15_25,48,50,63,74,78,84,90,92,99,100,102,111,116,136,138_140,145,167,175,184,192,195_197,231,237,238,243,262,263,294,302,318,363,367,389,453
+SAR2049	2791	x	G L:0_2,4,6,7,13,15_20,48,50,63,74_78,84,90,92,99,100,102,116,136,138_140,145,167,175,184,192,195_197,231,237,238,243,262,263,294,302,318,363,367,389,453
+SAR2050	89	cspC	G L:0_2,4,8,13,15_20,26,43,44,48,50,63,70,74_78,80_82,84,90,92_96,98_104,106_112,116_118,136,138_142,145,148,161,164,166,167,173_209,211,228,229,231,233,237,238,240,242_244,262,263,294,302,318,363,367,374,389,453,454
+SAR2051	9410	x	G L:0_4,13,15_26,29_39,43,44,48,50,63,70,73,74,78_86,90,92_96,99_111,116_136,138_169,175_209,211,213,220_222,226,227,229,231,236_238,240,242_244,262,263,294,302,318,363,367,379,389,453,454
+SAR2052	4576	x	G L:0_2,4,13,15_20,26,43,44,48,50,63,74,78,80_82,84,90,92_96,99_104,106_111,116_120,136,138_142,145,161,164,166,167,175_197,208,209,211,229,231,237,238,240,242_244,262,263,294,302,318,363,367,389,453,454
+SAR2053	5286	x	G L:0_2,4,6,7,13,15_20,26,43,44,48,50,63,74,78,80_84,90_96,99_104,106_111,116_120,130,136,138_164,166,167,175_197,208,209,211,213,214,224,225,229,231,237,238,240,242_244,262,263,294,302,318,363,367,379,389,453,454
+SAR2054	795	x	G L:0_2,4,13,15_20,26,43,44,48,50,63,74,78,80_82,84,90,92_96,99_104,106_111,116_120,136,138_142,145,161,164,166,167,175_197,208,209,211,229,231,237,238,240,242_244,262,263,294,302,318,363,367,389,453,454
+SAR2055	1258	x	G L:0_2,4,13,15_20,26,43,44,48,50,63,74,78,80_82,84,90,92_96,99_104,106_111,116_120,136,138_142,145,161,164,166,167,175_197,208,209,211,229,231,237,238,240,242_244,262,263,294,302,318,363,367,389,453,454
+SAR2058	171	x	G L:0_4,13,15_20,26,40_44,48,50,51,63,70,73,74,78,80_84,90,92_96,99_104,106_111,116_118,120,136,138_142,145,161,164,166,167,175_197,208,209,211,229,231,237,238,240,242_244,262,263,294,302,318,363,367,389,453,454
+SAR2059	2279	x	G L:0_4,13,15_20,26,40_44,48,50,51,63,70,74,78,80_84,90,92_96,99_104,106_111,116_118,120,136,138_142,145,161,164,166,167,175_197,208,209,211,229,231,237,238,240,242_244,262,263,294,302,318,363,367,389,453,454
+SAR2060	1155	x	G L:0_4,13,15_20,26,40_44,48,50,51,63,70,74,78,80_84,86,90,92_96,99_104,106_111,116_118,136,138_142,145,161,164,166,167,175_197,208,209,211,229,231,237,238,240,242_244,262,263,294,302,318,363,367,389,453,454
+SAR2061	1084	x	G L:0_4,13_20,26,40_44,48,50,51,63,70,74,78,80_82,84,90,92_96,99_104,106_111,116_118,136,138_142,145,161,164,166,167,175_197,208,209,211,229,231,237,238,240,242_244,262,263,294,302,318,363,367,389,453,454
+SAR2062	3875	clpP_2	G L:0_4,13,15_20,26,40_44,48,50,51,63,70,74,78,80_82,84,90,92_96,99_104,106_111,116_118,120,134,136,138_142,145,161,164,166,167,175_197,208,209,211,229,231,237,238,240,242_244,262,263,294,302,318,363,367,389,453,454
+SAR2063	718	x	G L:0_4,13,15_20,26,40_44,48,50,63,70,74,78,80_82,84,86,90,92_96,99_104,106_111,116_118,120,136,138_142,145,161,164,166,167,175_197,208,209,211,229,231,237,238,240,242_244,262,263,294,302,318,363,367,389,453,454
+SAR2064	2539	x	G L:0_2,4,13,15_20,26,40_44,48,50,51,63,70,74,78,80_82,84,90,92_96,99_104,106_111,116_120,136,138_142,145,161,164,166,167,175_197,208,209,211,229,231,237,238,240,242_244,262,263,294,302,318,363,367,389,453,454
+SAR2065	3486	x	G L:0_2,4,13,15_20,26,40_44,48,50,63,70,74,78,80_82,84,90,92_96,99_104,106_111,116_119,136,138_142,145,161,164,166,167,175_197,208,209,211,229,231,237,238,240,242_244,262,263,294,302,318,363,367,389,453,454
+SAR2066	3652	x	G L:0_2,4,13,15_20,26,37,40_44,48,50,51,63,70,74,78,80_82,84,90,92_96,99_104,106_111,116_119,136,138_142,145,161,164_167,175_197,208,209,211,229,231,237,238,240,242_244,262,263,294,302,318,363,367,389,453,454
+SAR2067	1745	x	G L:0_2,4,13,15_20,26,40_44,48,50,51,63,70,74,78_82,84,90,92_96,99_104,106_111,116_120,136,138_142,145,161,164,166,167,175_197,208,209,211,231,237,238,240,242_244,262,263,294,302,318,363,367,389,453,454
+SAR2068	258	x	G L:0_2,4,13,15_20,40_42,48,50,51,63,70,74,78,84,90,92,99,100,102,111,119,120,136,138_140,145,167,175,176,184,192,195_197,213,231,237,238,243,262,263,294,302,318,363,367,389,453
+SAR2069	6211	x	L G:5,8_12,14,21_25,29,31_38,47,49,52,56_62,64_68,97,98,112_115,121,131_133,137,143,144,146_160,162,163,165,168,170_174,198_206,210,212,233,260,261,264,278_280,282,374
+SAR2070	1343	x	G L:0_4,13,19,27,28,30,39_46,48,50,53_55,70,72_74,76_78,81_85,87,88,93,95,96,99_102,104,106_111,117_120,122,124_128,134_136,138_142,166,167,175,196,197,208,214_219,223,224,232,234_236,238,240,241,249,262,263,266_271,275,276,288,295,297,302,329,330,351,353,356,359,364,368,370_373,377,378,383,385,441,443,450_452,454,456,457,459
+SAR2071	788	x	G L:0_4,13,19,20,40_45,48,50,53_55,63,70,74,76,77,88_91,93,96,97,99,100,102,104,106_108,110,111,116,119_121,130,139,140,166,167,172,175,196,197,209,213,217,228,231,232,237,240,263
+SAR2072	2244	dut	L G:3,21_25,47,49,51_62,64_68,92,111,128,130,135_138,141,142,170_172,177_188,190_194,198_206,214,225,228,231,234,250_256,260,261,279,289,290,295,323,379,414,447,453
+SAR2073	8689	x	L G:22_25,47,49,52,56_62,64_68,137,138,170_172,198_206,214,252_256,260,261,264,279,280,289,290,295,379,414
+SAR2074	123:1	x	G L:0_3,13_15,17_20,39,70,74,78,93,94,96,99,102,110,113,115,119_121,126,127,129,130,135,139,140,165,166,168,196,197,208,228,299,358
+SAR2075	4380	x	L G:21_25,47,49,52,56_62,64_68,137,170_172,252_256,277,279,280,289,290,379,414
+SAR2076	140	x	G L:0_2,13,19,70,74,86,99,102,110,113,115,116,119_121,129,139,140,166,188,196,197,228,231
+SAR2077	1082	x	G L:0_2,4,6,8,13,15_20,34,40_44,48,50,53_55,63,70,74_78,80_82,84,86,90,92,99,100,102_104,106_110,113,115,116,129,134,136,138_140,145,164,166,167,175,176,178_181,188,195_206,208,215_219,227_229,237,238,240,243,294,299,302,312_314,338,339,363,453,454
+SAR2080	162	x	G L:0_2,4,7,8,13,15_20,29_38,40_44,48,50,53_55,63,70_72,74_78,80_86,90,92,99_103,116,129,134,136,138_142,145,164,167,175,176,178_181,188,195_206,208,209,215_219,229,231,233,237,238,240,242_244,281,299,302,332,338,363,453,454
+SAR2083	474:1	ssb_3	G L:0_2,4,7,8,13,15_20,29_38,40_44,48,50,53_55,63,70_72,74_86,90,92,99_102,116,129,134,136,138_142,145,164,167,175,176,178_181,188,195_206,208,209,215_219,229,231,233,237,238,240,242_244,281,302,363,453,454
+SAR2084	2493:1	x	G L:0_2,4,7,13,15_20,29_38,40_44,48,50,53_55,63,70_72,74_86,90,92,97,99_102,116,129,134,136,138_142,145,164,167,175,176,178_181,188,195_206,208,209,215_219,229,231,233,237,238,240,242_244,281,299,302,314,363,453,454
+SAR2085	861	recT	L G:3,5,6,8_12,14,21_28,39,45,47,49,51,52,56_62,64_69,73,79,87,88,91,93_98,103_110,112_115,117,118,122_128,135,137,143,144,146_160,162,163,165,166,168_174,177,182_187,189_194,207,210_212,214,220_222,224_228,230,232,236,246_249,252,253,255_257,260,262,263,272,273,277_280,282,285,286,289_291,294_296,298,299,304,305,313,315,317,318,320_323,328,330_335,339,342,344_346,349,352,354,360,366_368,379,383,389,445,460
+SAR2086	587	x	G L:0_2,4,7,13,15_20,29_38,40_44,48,50,53_55,63,70_72,74_78,80_86,90,92,99_102,116,129,134,136,138_142,145,164,167,175,176,178_181,188,195_206,208,209,215_219,229,231,233,237,238,240,242_244,261,281,302,363,453,454
+SAR2087	2234	x	G L:0_2,4,7,8,13,15_20,29_38,40_44,48,50,53_55,63,70_72,74_78,80_86,90,92,97,99_102,116,119_121,129,134,136,138_142,145,164,167,175,176,178_181,188,195_209,215_219,229,231,233,237,238,240,242_244,265,281,285,302,363,414,453,454
+SAR2088	2205	x	G L:0_2,4,6_8,13,15_20,26_45,48,50,51,53_55,63,69_78,80_84,86_97,99_103,105_111,116_142,145,164,166,169,175,176,178_181,188,195_197,199_206,208,209,211,213,215_222,226,229,231,233,234,236_238,240,242_244,262,263,265,281,302,363,367,379,453,454
+SAR2089	5900	x	L G:8_14,21_25,29,30,32_37,47,49,52,56_62,64_68,80,102,116_118,170_172,177,182_187,189_194,207,260,261,278,280,282,285,294,298,304,305,311_331,335_338,340_351,353,354,389
+SAR2091	15324	x	L G:21_25,47,49,52,56_62,64_68,170_172,260,261,280,282
+SAR2092	1538	x	G L:0_2,4,13,15_20,40_44,48,50,62,63,70,74_78,81_84,90,92,99,100,102,111,116,126,129,130,136,138_140,145,167,175,184,192,195_206,213,215_219,226,231,237,238,240,243,262,263,294,302,318,363,367,379,389,438,453,454
+SAR2093	6848	x	L G:3,21_25,29_39,45,47,49,52,56_62,64_69,73,87_89,97,101,103,104,106_110,119_128,131_135,137,141,142,164,166,169_172,176_183,185_191,193,194,215_222,232,236,240,242,244,260,261,264,280,282
+SAR2095	4966	x	G L:0_2,4,13,15_20,26_28,40_44,48,50,51,53_55,62,63,69,70,73_85,87_96,99,100,102,105,111,116_118,122_130,135,136,138_140,143_163,165,167,169,175,184,192,195_211,213,215_219,226,227,229_231,237,238,240,243,262,263,281,294,302,318,363,367,379,389,407,453,454
+SAR2096	51	x	G L:0_2,4,10,13,16,18_20,26,28,32_37,40_44,48,50,70,74,85,90,92_97,99,100,102,114,116_120,125,135,136,138_140,145,167,171,172,175,177,195_206,215_219,226,231,237,238,240,243,262,263,281,285,302,334,357,367,417,426
+SAR2097	959	x	L G:5_12,14,21_25,46,47,49,52,56_62,64_68,71,72,79,85,86,98,105,112_115,119_121,131_133,143,144,146_160,162,163,165,168,170_174,207,212,223,226,227,230,233_235,241,258,265_273,275_277,279,280,357_362,364_366,368,369,371_373,381
+SAR2098	11481	x	L G:5_12,14,21_25,46,47,49,52,56_62,64_68,71,72,79,85,86,98,105,112_115,119_121,131_133,143,144,146_160,162,163,165,168,170_174,207,212,223,226,227,230,233_235,241,258,270_273,275_277,279,280,357_362,364,365,368,369,371_373,381
+SAR2099	962	x	L G:8_12,14,17,18,21_25,45_47,49,52,56_62,64_68,71,72,75,79,82,85,86,98,105,112_115,119_121,131_133,141_144,146_160,162,163,165,168,170_174,207,212,223,226,227,230,233_235,241,275_277,279,280,357_362,364_366,368,369,371_373,381
+SAR2100	5096	x	L G:8_12,14,17,18,21_25,46,47,49,52,56_62,64_68,71,72,75,79,82,85,86,98,105,112_115,119,120,131_133,141_144,146_160,162,163,165,168,170_174,207,212,223,226,227,230,233_235,241,258,265_273,275_277,279,280,357_362,364_366,368,369,371_373,381
+SAR2101	3285	x	L G:8_12,14,17,18,21_25,46,47,49,52,56_62,64_68,71,72,79,85,86,98,105,112_115,119_121,131_133,141_144,146_160,162,163,165,168,170_174,207,212,223,226,227,230,233_235,241,258,265_273,275_277,279,280,357_362,364_366,368,369,371_373,381
+SAR2102	7623	x	L G:8_12,14,17,18,21_25,46,47,49,52,56_62,64_68,71,72,79,85,86,98,105,112_115,119_121,131_133,141_144,146_160,162,163,165,168,170_174,207,212,223,226,227,230,233_235,241,258,265_273,275_277,279,280,357_362,364_366,368,369,371_373,381
+SAR2103	2157	x	G L:0_2,4,5,13,15,17_20,40_44,53_55,63,70,74,78,81_84,87,88,99,102_104,106_111,116,118,138_140,145,166,167,184,192,195_206,210,211,213_219,224,225,228,229,231,232,236_238,240,241,243,285,294,302,321,379,389
+SAR2104	10449	hlb	L G:6_12,14_21,23_25,39,47,49,52,56_62,64_68,81,82,98,112_115,119_121,131_133,170_174,207,212,220_222,226,227,230,233,279
+SAR2105	728	int	G L:0_2,4,10,13,15_20,40_44,48,50,63,70,73_78,81_84,90,92,99_102,111,116,130,136,138_140,145,167,175,184,192,195_206,210,213,215_219,231,237,238,240,243,262,263,294,302,318,363,367,379,389,453,454
+SAR2107	921	lukF	G L:0_2,61,109,110,215_219
+SAR2108	1332	lukH	G L:0_2,79,215_219
+SAR2109	193	dapE	G L:0_2,46,119,121,136,215_219
+SAR2111	2226	ktrB	G L:0_2,119_121,179_181,215_219
+SAR2113	1459	x	L G:15_68,70,78_84,113_118
+SAR2114	2213	x	L G:26_68
+SAR2115	8104	x	L G:15_37,39_45,47_68,70,78_84,113_118
+SAR2116	3396	groL	G L:0_2,7,48
+SAR2117	1073	groS	G L:0_2
+SAR2118	967	copA	G L:0_2
+SAR2119	1716	sdrH	G L:0_2
+SAR2120	4305	x	G L:0_2,14,73
+SAR2121	3661:1	amiE	G L:0_3
+SAR2122	11080	hld	G L:0_3,70,73_77,80,83,84,92,103_111,243
+SAR2123	538	agrB	L G:3_70,73_77,79_83,87_97,100_194,208_212
+SAR2125	1741	agrC	G L:0_2,243
+SAR2126	1813	agrA	G L:7,14,243
+SAR2127	254	frk1	G L:0_2
+SAR2128	299	scrB	G L:0_2,7
+SAR2129	5613	scrR	G L:0_2
+SAR2130	1346	amt	G L:0_2,16_19,357
+SAR2131	260	tnp	G L:0_3
+SAR2132	1045	x	G L:0_3
+SAR2133	1107	rex	G L:0_2
+SAR2134	938	vga	G L:0_2,73
+SAR2135	166	mutS	G L:0_2,85,86,126_128,230
+SAR2136	2387	gcp	G L:0_2,109,110,121
+SAR2137	5260	rimI	G L:0_2
+SAR2138	2874	yeaZ	G L:0_3
+SAR2139	44	yjeE	G L:0_2
+SAR2140	3357	ilvD	G L:41
+SAR2141	664	ilvB	G L:0_2
+SAR2144	1855	leuA	G L:0_2,98,121,167
+SAR2145	2620	leuB	G L:0_2,213
+SAR2146	189	leuC	G L:0_2,88,100,118
+SAR2147	2846	leuD	G L:0_2
+SAR2148	1479	ilvA	G L:369
+SAR2149	7180	x	L G:3_14,26_68,73_77,98_102,116_118,210_212
+SAR2150	2429	mnhD	G L:0_2,122
+SAR2151	1866	yhgF	G L:0_2,29,40,121,125,234
+SAR2152	1276	sigB	G L:255
+SAR2153	450	rsbW	G L:0_2,255
+SAR2154	5207	rsbV	G L:0_2,255
+SAR2155	335	rsbU	G L:0_2,139_142,255
+SAR2156	3457	mazF	G L:0_2,119,255
+SAR2157	4013	mazE	G L:0_2,255
+SAR2158	2142	alr	G L:0_2,122,255
+SAR2159	2018	acpS	G L:0_3,255
+SAR2160	1769	ydbS	G L:0_3,255
+SAR2161	3535	ydbT	G L:0_2,89,114,117,255,360
+SAR2162	1749	argH	G L:0_3,255
+SAR2163	3171	kdpC	G L:0_3,53,255
+SAR2164	487	kdpB	G L:0_3,143,255
+SAR2165	239	kdpA	G L:0_3,255
+SAR2166	1122	kdpD	G L:0_3,14,255
+SAR2167	69	kdpE	G L:0_3,255
+SAR2168	456	cshA	G L:52,53,110,120,121,255
+SAR2169	2326	murF	G L:0_2,86,110,255
+SAR2170	356	ddl	G L:255,278
+SAR2171	3	ftsW	G L:0_2,7,80,255
+SAR2173	8812	rexA	G L:0_3,110,112,120,122,145,211,255
+SAR2174	391	x	G L:0_3,255,262_271
+SAR2177	1042	cls	G L:0_2,7,100,110,111,123,150,212,255
+SAR2178	3150	x	G L:0_3,255
+SAR2179	1169	oxaA	G L:339
+SAR2180	1543	thiE	G L:0_3,41,81,339
+SAR2181	3052	thiM	G L:0_3,227,339
+SAR2182	1940	thiD	G L:0_2,78,339
+SAR2183	1366	tenA	G L:0_2,339
+SAR2183b	4070	x	L G:26,28,40_42,45,46,48_61,63,64,66_69,78,85,86,92_94,96,98,102_104,106,107,109_112,116_118,207
+SAR2184	2021	sceD	G L:0_2,339
+SAR2185	361	ssb_2	G L:0_2,55,339
+SAR2186	3025	ywpF	G L:0_2,339
+SAR2187	772	fabZ	G L:0_2,86,110,339
+SAR2188	155	murA_1	G L:89,234,339
+SAR2189	7585	x	G L:0_3,339
+SAR2190	2800	atpC	G L:0_2,339
+SAR2191	2845	atpD	G L:119,120,213,339
+SAR2192	465	atpG	G L:0_2,339
+SAR2193	1161	atpA	G L:339
+SAR2194	951	atpH	G L:0_2,339
+SAR2195	3466	atpF	G L:0_2,339
+SAR2196	9211:1	atpE	G L:0,339
+SAR2197	1480	atpB	G L:0_2,339
+SAR2198	75	atpI	G L:0_2,339
+SAR2199	698	mnaA	G L:0_2,234,339
+SAR2200	2083	upp	G L:0_2,339
+SAR2201	266	glyA	G L:0_2,119_121,339
+SAR2202	544	ywlG	G L:0_2,339
+SAR2203	3010	ptpB	G L:0_3,339
+SAR2204	241	sua5	G L:0_2,339
+SAR2205	1751	prmC	G L:0_2,339
+SAR2206	2967	prfA	G L:339
+SAR2207	37	tdk	G L:0_2,339
+SAR2208	3243	rpmE	G L:0_2,339
+SAR2209	2195	rho	G L:34,339
+SAR2210	1715	aldA	G L:2,339
+SAR2211	357	x	G L:0_2,339
+SAR2212	1694	murA_2	G L:0_2,339
+SAR2213	2496	fba	G L:145,339
+SAR2214	5447	x	G L:0_2,95,339
+SAR2215	2533	pyrG	G L:339
+SAR2216	2672	rpoE	G L:0_2,48,79,339
+SAR2217	3480	blt	G L:0_2,110,339
+SAR2218	312	coaA	G L:0_2,339
+SAR2219	1762	ppnK	G L:0_2,89,100,110,124,125,339
+SAR2220	1582	x	G L:0_3,339
+SAR2221	493	hmrA	G L:0_2,339
+SAR2222	3939	luxS	G L:0_2,339
+SAR2223	2367	x	G L:0_3,339,437
+SAR2224	1428	pdp	G L:0_2,143,339,437
+SAR2226	5165	deoD	G L:119,260
+SAR2227	1402	dps	G L:0_2
+SAR2228	640	x	G L:0_2,88,93,98,100,126,131,144,145,173,211,246,248,356
+SAR2229	1546	x	G L:0_2,73,241
+SAR2230	996	x	G L:0_3
+SAR2231	377	manA	G L:0_2,437
+SAR2232	1972	ylbE	G L:0_2
+SAR2233	2175	czrA	G L:0_2
+SAR2234	2467	czcD	G L:0_2,73
+SAR2235	2997	x	G L:0_2,95,223,369
+SAR2240	969	htrA	G L:0_2,73,381
+SAR2241	3522	x	G L:0_2,72
+SAR2242	2543	glmS	G L:34,79,119
+SAR2243	5134	x	G L:0_2,86,95,98,99
+SAR2244	167	mtlA	G L:0_2,110
+SAR2245	2382:1	bglG	G L:0_3
+SAR2246	2562	mtlF	G L:0_2,7,89
+SAR2247	2716	mtlD	G L:0_2
+SAR2252	4549	glmM	G L:0_2
+SAR2253	1693	x	G L:0_2,83
+SAR2254	163	disA	G L:0_2
+SAR2255	649	rocF	G L:0_2
+SAR2256	2584	apbC	G L:0_2,24,48,73,239,356
+SAR2259	3044	sepA	G L:0_3
+SAR2260	292	x	G L:0_2,73,150,221,222,245,439
+SAR2261	1153	x	G L:0_2,120,213,370_373
+SAR2262	448	galU_2	G L:0_2
+SAR2263	2360	x	G L:0_3
+SAR2264	4719	x	G L:0_2
+SAR2265	3135	x	G L:0_2,120,142,213,234
+SAR2266	2664	fecD	G L:0_2
+SAR2267	585	htsB	G L:0_2,207
+SAR2268	2476	htsA	G L:0_2,110,118,123,143,146
+SAR2269	1344	x	G L:0_2
+SAR2270	677	memD	G L:0_2
+SAR2271	1243	x	G L:0_2
+SAR2272	3055	x	G L:0_2,109,110,131,145,173,246
+SAR2273	458	asp23	G L:109,241
+SAR2274	5596	sspC	G L:0_3
+SAR2275	2858	sspB	G L:0_2,58,73,76,80,85,89,93,98,100,101,109,110,118,122,123,131,144_146,211,232,245,246,275
+SAR2276	1916	opuD2	G L:0_2,120,121
+SAR2277	14	x	G L:0_3,227
+SAR2278	29	P2	G L:0_2,246
+SAR2279	3138	x	G L:0_2,53
+SAR2280	893	lacG	G L:423
+SAR2281	629	lacE	G L:0_2,109,110,150
+SAR2282	1820	lacF	G L:0_2,248,315
+SAR2284	3383	lacC	G L:0_2,48,76,113,130,203
+SAR2285	2680	lacB	G L:0_2
+SAR2286	4803	lacA	G L:0_2
+SAR2287	1350	lacR	G L:0_2,119_121,146,213,240
+SAR2288	1341	npdA	G L:0_2
+SAR2289	2768	x	L G:4_7,15_72,80,85_92,98,99,102_117,119_124,129_136,138_212
+SAR2290	678	akr5f	G L:0_2,209
+SAR2291	2078	x	G L:0_2,29_38,78,80,113_115
+SAR2292	661:1	hysA	G L:0_2
+SAR2293	2804	purK	G L:0_3,53,69,78_80,98,99,102_111,116_118,207_212
+SAR2294	2310	x	G L:0_3,53,69_80,92,98,99,102_112,116_118,207_212
+SAR2295	1247	eap	G L:0_2,89,100,102,110
+SAR2296	1811	budA_2	G L:0_2,85,110,245
+SAR2297	1087	alsS	G L:0_2
+SAR2297b	5469	x	L G:26_68
+SAR2299	522	x	L G:4_14,26_68,70_77,83,85,86
+SAR2300	1944	rpsI	G L:228
+SAR2302	3425	truA	G L:0_2,79,209
+SAR2303	2596	ecfT	G L:0_2
+SAR2304	3154	ecfA1	G L:0_2
+SAR2305	730	cbiO	G L:0_2,7,145
+SAR2312	13605	rpmJ	G L:0_2,81,82,227
+SAR2314	1140	adk	G L:30,110
+SAR2315	3266	secY	G L:119
+SAR2317	8415	rpmD	G L:0_2
+SAR2318	5797	rpsE	G L:41,234,245
+SAR2322	5017	rpsN	G L:0_2,73,76,93,100,109,110,116,118,123,137,144,146,211,232,241
+SAR2324	4993	rplX	G L:86,167,176
+SAR2325	3418	rplN	G L:121
+SAR2326	4030	rpsQ	G L:279
+SAR2328	1819	rplP	G L:7
+SAR2329	4299	rpsC	G L:123
+SAR2331	4995	rpsS	G L:7
+SAR2333	5486	rplW	G L:0_2
+SAR2335	2593	rplC	G L:14
+SAR2337	2850	x	G L:0_3,123
+SAR2338	739	pbuG	G L:0_2
+SAR2339	445	topB	G L:0_2
+SAR2340	2277	x	G L:0_2
+SAR2341	1261	glcU	G L:0_2
+SAR2342	588	x	G L:0_2
+SAR2343	8816	x	L G:15_68
+SAR2344	226	x	G L:0_2
+SAR2345	2329	pycA	G L:0_2,14,89,118,226,228,229
+SAR2346	1777	femX	G L:0_2,29
+SAR2347	118	x	G L:0_3
+SAR2348	891	x	G L:0_2,7
+SAR2349	3844	marR	G L:0_3,98,119_121,213
+SAR2350	3019	x	G L:0_2,159
+SAR2351	2011	sarV	G L:0_2,119
+SAR2352	2478	moaA	G L:0_2,85,125,143
+SAR2353	3084	mobA	G L:0_2
+SAR2354	3148	moaD	G L:0_3
+SAR2355	1787	moaE	G L:0_2
+SAR2356	2058	mobB	G L:0_3
+SAR2357	2944	moeA	G L:0_2,174,199,241
+SAR2358	1255	moaC	G L:0_3
+SAR2359	1828	moaB	G L:0_3
+SAR2360	2536	moeB	G L:0_2,30,119,121
+SAR2361	2336	modC	G L:0_3
+SAR2362	2211	modB	G L:0_2
+SAR2363	978	modA	G L:0_2,7,89,110
+SAR2364	963	fdhD	G L:0_2,14
+SAR2365	4481	isdD	G L:0_3
+SAR2366	4103	bioY	G L:0_3
+SAR2367	228	isdF	G L:0_2
+SAR2368	825	fhuD	G L:0_2,86,89,361_363
+SAR2369	3495	caiA	G L:0_2,6,7
+SAR2371	1363	yut	G L:0_3
+SAR2372	3061	ureA	G L:0_2
+SAR2373	1173	ureB	G L:0_2
+SAR2374	617	ureC	G L:0_2,121,213
+SAR2375	3073	ureE	G L:0_2
+SAR2376	4793	ureF	G L:0_2
+SAR2377	400	ureG	G L:0_2
+SAR2378	1605	ureD	G L:0_2
+SAR2379	2344	sarR	G L:0_2,18,95
+SAR2380	4218	pheS	G L:0_3
+SAR2381	2748	sarY	G L:0_3
+SAR2382	2236:1	rnhC	G L:0_2,80
+SAR2383	49:1	ssaA_1	G L:0_2
+SAR2384	4212	x	G L:0_3,95
+SAR2385	672	nhaC	G L:0_2,41,119,121,146
+SAR2386	3363	x	G L:0_2,199
+SAR2387	347	x	G L:0_2,30_38,87_89
+SAR2388	2941	ssaA_2	G L:0_2
+SAR2389	3626	pdxB_2	G L:0_2,79
+SAR2390	1880	x	G L:0_2,117
+SAR2391	1675	lytA	G L:0_2,43,44,49,51,101,110,131,134,173,236,377
+SAR2391a	517	trxA	G L:0_2
+SAR2392	3064	yrhD	G L:0_2,14,120
+SAR2393	577	fdhF	G L:0_2,14,165,234
+SAR2394	2508	lytR2	G L:0_2,213
+SAR2395	2818	suhB	G L:0_3
+SAR2396	556	x	G L:0_2,53,112,209
+SAR2397	468	murI	G L:0_3,53
+SAR2398	1307	x	G L:0_3
+SAR2399	2524	cudA	G L:0_2
+SAR2400	777	proY	G L:0_2,214
+SAR2401	1098	x	G L:0_3
+SAR2402	2020	x	G L:0_3
+SAR2403	3409	x	G L:0_3
+SAR2404	2517	x	G L:0_3
+SAR2407	4074	nrdG	G L:0_2
+SAR2408	443	glvC	G L:0_2,7,83
+SAR2409	532	nrdD	G L:0_2
+SAR2410	3124	x	G L:0_2,21
+SAR2411	2053	metT	G L:0_2,7,14,226
+SAR2412	177	x	G L:0_2,69,374
+SAR2413	2194	gdhII	G L:0_2,26,175
+SAR2416	845	hutI	G L:0_2,109,146
+SAR2417	553	hutU	G L:0_2
+SAR2418	221	x	G L:0_2,25,27,40,75,90,171,172,232
+SAR2419	4708	fosB	G L:0_2,4_25,69_79,81,82,85_97,103_112,116_118,208,209,281,338
+SAR2420	197	hutG	G L:0_2,49
+SAR2421	66	lyrA	G L:0_3,146
+SAR2422	2897	rpiA	G L:0_2
+SAR2423	1557	x	G L:0_3
+SAR2424	4641	galM	G L:0_2,85,129
+SAR2425	55	ynfA	G L:0_3,73_77,385_388
+SAR2426	2104	x	G L:0_2
+SAR2427	2799	x	G L:0_2,227
+SAR2428	79	x	G L:0_2
+SAR2429	2322	mag	G L:0_2
+SAR2430	912	gltS	G L:0_2,23,121,213
+SAR2431	824	fni	G L:0_2
+SAR2432	769	corA	G L:0_2,360
+SAR2433	1144	hsdR	G L:0_2,5
+SAR2434	2116	x	G L:0_3
+SAR2435	667	x	G L:0_2,146
+SAR2436	1663	x	G L:0_2
+SAR2437	1156	x	G L:0_2,213
+SAR2439	2521	x	G L:0_2
+SAR2441	2188	tcaB	G L:0_2,103,110,141,241
+SAR2442	3054	tcaA	G L:0_2,110,122,143
+SAR2443	2568	tcaR	G L:0_2,139_142
+SAR2444	112	x	G L:0_2
+SAR2445	21	hrtA	G L:0_3
+SAR2446	3151	hrtB	G L:0_2,89,272
+SAR2447	2585	hssR	G L:0_2,120
+SAR2448	2240	hssS	G L:0_2
+SAR2449	142	lytT	G L:0_2,176,369
+SAR2450	1252	tnpA-3	G L:0_2
+SAR2451	3843	x	L G:4_6,8_14,26_68,70_77,79,81_84,87_91
+SAR2452	3103	x	L G:4_14,26_68,70_77,79,81_84,87_91
+SAR2453	1404	x	L G:3_14,26_68,70_77,79,81_84,87_91
+SAR2454	1167	mqo_2	G L:0_2
+SAR2455	1362	lctP_1	G L:0_2,88,228
+SAR2456	1196	x	G L:0_2,85
+SAR2457	2819	murD	G L:0_2,42,89,110
+SAR2458	91	paiA	G L:0_2
+SAR2459	2368	yhfP	G L:0_2,73
+SAR2460	1552	ftsA	G L:0_2
+SAR2461	2645	trxB	G L:0_2,234
+SAR2462	1227	x	G L:0_2
+SAR2463	944	yhgE	G L:0_2,122
+SAR2464	2939	tetR	G L:0_2
+SAR2465	2231	cobI	G L:0_2
+SAR2467	4833	ccrC	G L:0_3
+SAR2468	2617	araC	G L:0_2,49
+SAR2469	2659	x	G L:0_2
+SAR2470	3206	x	G L:0_2
+SAR2472	2067	gltT	G L:0_2,164
+SAR2473	212	x	G L:0_2,95,199
+SAR2474	3730	sarZ	G L:0_2,52,166,355
+SAR2475	858	hsp20	G L:0_3,85,86
+SAR2476	1212	narT	G L:0_2
+SAR2477	2380	x	G L:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212
+SAR2480	1473	nreC	G L:0_2
+SAR2481	615	nreB	G L:0_2
+SAR2482	3245	nreA	G L:0_2
+SAR2483	2345	narI	G L:0_2,110
+SAR2484	398	narJ	G L:0_2
+SAR2486	1178	narG	G L:0_2,112,277
+SAR2487	2750	cobA	G L:0_2
+SAR2488	1923	nirD	G L:0_2,98
+SAR2489	1503	nirB	G L:0_2,73
+SAR2490	831	cbiX	G L:0_2,39
+SAR2491	4338	pyrE	G L:0_2
+SAR2493	2252	fnt	G L:0_2
+SAR2494	1975	x	L G:4_91,98,99,116_118,195_197,210_212
+SAR2495	2393	x	G L:0_2,81
+SAR2496	250	adcA	G L:0_2,89,109,176
+SAR2497	2154	gmk	G L:0_2,4_25,51,85,86,100
+SAR2498	3100	yefM	G L:0_25,51,85,86,100
+SAR2499	1771	dsbA	G L:0_2
+SAR2500	4675	priA	G L:0_2,89,109,110
+SAR2501	462	fmhA	G L:0_2
+SAR2502	4606	tcyC	G L:0_2,228
+SAR2503	1397	tcyB	G L:0_2
+SAR2505	578	lmrB2	G L:0_2,86,228,368
+SAR2506	393	gpmA	G L:0_2
+SAR2507	1414	x	G L:0_2
+SAR2508	774	sbi	G L:0_2,71,72,85
+SAR2509	1457	hlgA	G L:0_3,110,228
+SAR2510	508	hlgC	G L:0_2,32,66,131,285
+SAR2511	701	hlgB	G L:0_2,228
+SAR2512	186	bioX	G L:0_3,69,131
+SAR2513	371	bioW	G L:0_3,80,234
+SAR2514	48	bioF	G L:0_3
+SAR2515	797	bioB	G L:0_2
+SAR2516	2820	bioA	G L:0_2,14,118
+SAR2517	1388	bioD	G L:0_2
+SAR2518	715	x	G L:0_2,69,248
+SAR2519	1592:1	x	G L:0_2,69
+SAR2520	1411	x	G L:0_2,73_77,83,118,123_125,131,144,145,211
+SAR2521	3216	gtrA	G L:0_2
+SAR2522	1194	glxK	G L:0_2
+SAR2523	986	x	G L:0_2,22,262,279,280
+SAR2524	776	bcr	G L:0_2
+SAR2525	2304	x	G L:0_3,92,120,121,213
+SAR2526	2022	x	G L:0_2
+SAR2527	1516	plsX	G L:0_3
+SAR2528	1251	cycA	G L:0_2,95,98,120,223
+SAR2529	451	arcD	G L:0_2,13,89,118,176,228,234,336
+SAR2530	1182	fabD	G L:0_2
+SAR2531	2881	flp	G L:0_2,213
+SAR2532	2340	fabG	G L:0_2,78
+SAR2533	4073	panE	G L:0_2,395,422
+SAR2534	288	norB_1	G L:0_2
+SAR2535	1018	opuCD	G L:0_2
+SAR2536	434	opuCC	G L:0_2
+SAR2537	435	opuBB	G L:0_2
+SAR2538	775	opuBA	G L:0_2
+SAR2539	1584	rpsP	G L:0_2,4,5
+SAR2540	2784	x	G L:0_2,4,5,109
+SAR2541	3021	pnbA	G L:0_2,53_55,121
+SAR2542	4490	rimM	G L:0_2
+SAR2543	1615	ybbM	G L:0_2
+SAR2544	2090	pstB1	G L:0_2,79
+SAR2545	822	ysdC	G L:0_2,121
+SAR2546	3615	isaB	G L:0_3,208,209
+SAR2547	1068	gltB2	G L:0_2,7
+SAR2548	4170	x	G L:0_2,89,262_271
+SAR2549	521	x	G L:0_2
+SAR2550	805	opp-1F	G L:0_2
+SAR2551	1136	opp-1D	G L:0_2
+SAR2552	4601	opp-1C	G L:0_2,237
+SAR2553	1111	opp-1B	G L:0_2
+SAR2554	526	nikA	G L:0_2
+SAR2555	1871	gid	G L:0_2
+SAR2556	2914	fmrO	G L:0_2
+SAR2557	1235	dapF	G L:0_2
+SAR2558	399	x	G L:0_2,15_25,69,73_77,81_92,97_206,210_212
+SAR2559	793	fabG	G L:0_2,113_115
+SAR2560	1815	x	G L:0_2,28,98,121,145,212
+SAR2561	2976	rpsB	G L:0_3,208,209
+SAR2567	3270	bdhA	G L:0_2,48,78
+SAR2568	3703	x	G L:0_2
+SAR2569	523	cdsA	G L:0_2
+SAR2570	1342:1	proS	G L:1,2,78,100,101,228
+SAR2574	2173	polC	G L:0_2,15_25,78,80,95,100,101,195_197,207_209
+SAR2575	1734	mutT	G L:0_2,15_25,78,80,100,101,195_197,207_209
+SAR2576	636	pgcA	G L:0_2,232
+SAR2577	5419	x	G L:0_3,137,208,209
+SAR2578	3008	x	G L:0_3,137,161,165,178
+SAR2579	2901	galU	G L:0_2,312
+SAR2580	1596	fnbA	G L:0_2,4,6,8,11,14,15,18,19,21_23,29,34,39,41,43,44,46,73,78,79,81,82,92,93,95,96,112,114,115,119,125,130,135,161,167,168,172,189,205_207,213,227,228,233,234,237,238,242,246,249,269,279,280,289,291,299,324,328,348,372,373,389,397,406_408,422,423,431,441,449
+SAR2581	2161	x	G L:0_4,6_14,51,73_80,97,118_130,132_137,145_149,151_172,175,177,178,182_195,208,209,228,279
+SAR2582	438	gntP	G L:0_2,4,121,213,402
+SAR2583	988	gntK	G L:0_2,4
+SAR2584	586	gntR	G L:0_2,4
+SAR2585	1613	x	G L:0_2,4,234,379
+SAR2586	1911	ywaC	G L:0_2,4
+SAR2587	786	x	G L:0_2,4,83,102
+SAR2588	3526	x	G L:0_4,29,81,119,120,141,146,208,209
+SAR2589	419	x	G L:0_2,4,109,213
+SAR2590	2603	x	G L:0_2
+SAR2591	3972	x	L G:26_68
+SAR2592	10390	x	L G:27_30,32_68
+SAR2593	8040	x	L G:26_68
+SAR2594	345	azi	G L:0_2,70
+SAR2595	168	x	G L:0_2,70_72,95
+SAR2596	2334	fbp	G L:0_2,73,124
+SAR2597	563	x	G L:0_2
+SAR2598	645	x	G L:0_2,7
+SAR2599	1619	cinA	G L:0_2,49,121
+SAR2600	1767	mhqR	G L:0_2
+SAR2601	1842	secY	G L:0_2,131
+SAR2602	3467	sasA	G L:0_2,104,165,409,410
+SAR2605	529	ddh	G L:0_2,78
+SAR2607	869	supH	G L:0_2
+SAR2608	1381	srtA	G L:0_2
+SAR2609	4188	pat	G L:0_2,113,114,272,273
+SAR2611	2702	sdaAB	G L:0_2
+SAR2612	1190	pfoR_1	G L:0_2
+SAR2613	3375	x	G L:0_3,78
+SAR2614	1810	x	G L:0_2,225
+SAR2615	4281	aes	G L:0_2
+SAR2616	5700	x	G L:0_3
+SAR2617	2147	x	G L:0_2,226,227
+SAR2618	1937	glcB	G L:0_2
+SAR2619	431	cidC	G L:426
+SAR2620	2395	cidB	G L:0_2,453
+SAR2621	1691	cidA	G L:0_2
+SAR2622	1654	cidR	G L:0_2
+SAR2623	2004	x	G L:0_2
+SAR2624	348	amiD2	G L:0_2,228
+SAR2625	1529	mvaA	G L:0_2,234
+SAR2626	2597	mvaS	G L:0_2
+SAR2627	887	adaB	G L:0_2,105,228
+SAR2628	247	clpL	G L:0_2
+SAR2629	3668	x	G L:0_25,69_91,116_118,150,211
+SAR2630	954	feoB	G L:0_2,101,211
+SAR2631	2507	feoA	G L:0_3,82,101
+SAR2632	1072	ydfJ	G L:0_2,101,236
+SAR2633	2484	x	G L:0_2,75,89
+SAR2634	761	pruA	G L:85,236
+SAR2635	3882	lacA-1	G L:0_2
+SAR2636	3085	cap1B	G L:0_2
+SAR2637	1280	copA	G L:0_2,96,119
+SAR2639	1069	copZ	G L:0_2,239,377
+SAR2640	240	ldhD	G L:0_2,80
+SAR2641	225	ywfG	G L:0_2,116
+SAR2642	1877	crtN	G L:0_3
+SAR2645	3242	crtQ	G L:0_3,41
+SAR2646	567	crtI	G L:0_3
+SAR2647	1026	crtO	G L:0_3,213,279,280
+SAR2649	2463	oatA	G L:0_2,89,109,110,150,200
+SAR2650	1046	isaA	G L:0_2,176
+SAR2651	1858	pfoS/R	G L:0_2,10,82
+SAR2652	620	acrA	G L:0_3
+SAR2653	1627	icaC	G L:0_3
+SAR2654	3587	lip	G L:0_3
+SAR2655	1962	x	G L:0_3,73
+SAR2656	1930	nrmA	G L:0_3
+SAR2657	76	x	G L:0_3,103,120,121,168
+SAR2658	2856	acrR	G L:0_3
+SAR2659	686	x	G L:0_2,270
+SAR2660	1488	hisI	G L:0_2,78,281
+SAR2661	309	hisF	G L:0_2,69,119_121,131_133
+SAR2662	2158	cobW	G L:0_2
+SAR2663	1254	feoB	G L:0_2,119,139_142,213
+SAR2664	1301	x	G L:0_2,120
+SAR2665	801	esaC	G L:0_2
+SAR2666	2063	x	G L:0_2
+SAR2667	2817	x	G L:0_2,237
+SAR2668	473	tkt	G L:0_2,98,99,119
+SAR2669	3325	pyrD	G L:0_2
+SAR2670	4927	x	G L:0_2
+SAR2671	716	x	G L:0_2
+SAR2672	1315	hisD	G L:0_2
+SAR2673	1273	x	G L:0_2,8_14,112_115,207
+SAR2674	2132	pepX	G L:0_2
+SAR2675	430	panD	G L:0_2
+SAR2676	3985	panC	G L:0_2,39
+SAR2677	2591	panB	G L:0_2
+SAR2678	321	panE	G L:0_2
+SAR2679	2431	budA_1	G L:0_2,279,379
+SAR2681	1405	x	G L:0_2,7,121
+SAR2682	243	gabT	G L:0_2,78
+SAR2683	3314	x	G L:0_3,299
+SAR2684	2986	fda	G L:89,110
+SAR2686	4239	x	G L:0_2
+SAR2687	530	acsm5	G L:0_2,102,233
+SAR2688	30	parE	G L:0_3,120,121
+SAR2689	6205	x	G L:0_2
+SAR2690	3209	betA	G L:0_2,73
+SAR2691	594	betB	G L:89,109,110,120
+SAR2692	1805	cudC	G L:0_2
+SAR2693	3694	cudT	G L:109,110
+SAR2694	2264	nrdG	G L:0_2
+SAR2695	311	nrdD	G L:0_2,119,213
+SAR2696	253	citM	G L:0_2,145,203,205,214
+SAR2697	1267	cysG	G L:0_3
+SAR2698	1180	cysJ	G L:0_2
+SAR2699	1371	gpx2	G L:0_2,241
+SAR2700	767	x	G L:0_3,126
+SAR2701	277	x	G L:0_2,98
+SAR2702	589	nsaS	G L:0_2,118
+SAR2703	3928	nsaR	G L:0_2
+SAR2704	5311	x	G L:0_3,74,144
+SAR2705	2684:1	x	L G:15_40,42_68,135
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+SAR2707	603	slyA	G L:0_2,76,109,145,211,234
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+SAR2710	1513	arcR	G L:0_2,232
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+SAR2712	2315	arcD	G L:0_2,110
+SAR2713	255	arcB	G L:0_2,99
+SAR2714	498	arcA	G L:0_2,49,109
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+SAR2716	3218	aur	G L:0_2,8,9,119_121,270
+SAR2717	3413	isaB	L G:4_68,85_87,89_91,119_125,127_135
+SAR2718	3094	pcp	G L:0_3,89,390_393
+SAR2719	300	x	G L:0_2,41
+SAR2720	148	manP	G L:0_2,146
+SAR2721	32	pmi	G L:0_3,179,213
+SAR2722	504	x	G L:0_2
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+SAR2724	3505	entB2	G L:0_2,130
+SAR2725	1091	sasF	G L:0_3
+SAR2726	2424	gtfB	G L:0_3,34,121,229
+SAR2727	1311	gtfA	G L:0_2,120,121
+SAR2728	318	secA2	G L:0_2,78
+SAR2729	980	asp3	G L:0_2,39,53,79
+SAR2730	1089	asp2	G L:0_2,45,80,277
+SAR2733	2877	secY2	G L:0_2,298
+SAR2734	1027:1	sraP	G L:0_3,21,40_42,45,69,70,75,78_84,86,88,92_96,118,176,199_206,209,303
+SAR2735	484	arlS	G L:0_2,71,72
+SAR2738	492	x	G L:0_25,70_77,83
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+SAR2741	274	msrA	G L:0_2,81,82,97
+SAR2742	948	x	G L:0_2,213
+SAR2743	2722	epsC	G L:0_2,120
+SAR2744	1229	ywqD	G L:0_2
+SAR2745	180	cap8A_2	G L:0_2
+SAR2746	2704	icaR	G L:0_2,35,176
+SAR2747	2520	pgaC	G L:0_2
+SAR2748	3464	icaD	G L:0_3,78
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+SAR2750	713	icaC	G L:0_2,199
+SAR2753	535:1	lip	G L:0_2
+SAR2754	4041	hisE	G L:0_2,141
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+SAR2768	896	x	G L:0_2,4_28,71,72,80,83_91,100,101,211
+SAR2769	6009	yceI	G L:0_2
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+SAR2771	2215	x	G L:0_2,274
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+SAR2773	3777	x	G L:0_2
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+SAR2775	1845	x	G L:0_2
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+SAR2781	733	vraD	G L:0_2
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+SAR2787	3659	x	L G:6,7,27_68,70,72_77,79,85_88,97,113_118,120_143,145_165,167_195,197_206,208,209
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+SAR2790	3137	cspC	G L:0_2,228
+SAR2791	736	x	G L:0_2,89,110,228
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+SAR2793	1059	x	G L:0_2,263
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+SARLGA251_00330	7158	x	L G:84
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+SARLGA251_00380	15634	x	L G:84
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+SARLGA251_00570	8642	hsdS	L G:69,84,87,88,90,91,116,117
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+SARLGA251_00590	10557	x	L G:84,118
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+SARLGA251_03570	3089	x	L G:4_14,69_78,80_86,93_96,98,99,103_108,110_118,208,209
+SARLGA251_03700	9615	x	L G:84
+SARLGA251_03750	1078	lpl3	G L:0_2,26_68,80_83,89,92,97_101,103_111,113_115,118_197,207_209
+SARLGA251_03760	10935	x	L G:84
+SARLGA251_03780	6594	x	L G:84,86,198_206
+SARLGA251_04140	10642	x	L G:84
+SARLGA251_05320	2700	x	L G:6_14,70_77,79,81,82,84_86,92_95,98_100,112_115,195_197,208,209
+SARLGA251_06250	5103	x	L G:70_86
+SARLGA251_07220	2836	emp	G L:0_7,15_68,70,73_77,80_82,85,86,93_96,98,99,102,110,113_197,207_209,213,311
+SARLGA251_07470	2110	x	L G:26,43,44,72,81,82,84,165,169,228
+SARLGA251_07480	6601	x	L G:26,43,44,72,81,82,84,165,169,228
+SARLGA251_07490	12980	x	L G:84
+SARLGA251_07510	7495	x	L G:84
+SARLGA251_07520	7323	x	L G:26,78,79,84,113,213,229,232
+SARLGA251_07540	3994	icd	L G:51,72,84,101,117,118,127,128,169,214,235,237,240,241,265_271
+SARLGA251_07550	1297	citZ	L G:51,72,84,101,117,118,127,128,169,214,235,237,240,241,265_271
+SARLGA251_07560	9116	x	L G:84
+SARLGA251_07590	4493:1	x	L G:6,7,84
+SARLGA251_07600	10940:1	x	L G:84
+SARLGA251_07640	10269	x	L G:84,127,128,229
+SARLGA251_07650	11985	deoC1	L G:4_9,11_14,84,127,128,229
+SARLGA251_07660	1465	drm	L G:4_14,84,127,128,229
+SARLGA251_07670	8271	dnaE	L G:4_14,84,127,128
+SARLGA251_07760	422	int	L G:6,10,15,17,75,78_80,84,87,89,97,109,112_115,138,200,207,209,213,220_222,226,227,229_231,234,240,242_244,246,248_251,258_262,264,266,270,274,276,277,279_296,299,300,302_314,316_319,323_355,357_360,364_394,396_424,426_460
+SARLGA251_07790	2772	hipB	L G:59,65,79,80,84,87,97,103,122,123,128,129,132,170,207,242_244,259,264,291,294,304,311_331,335_340,342_351,353,354,369,379
+SARLGA251_07800	5744	x	L G:84
+SARLGA251_07830	4776	x	L G:15,17,79,82,84,94,103,113_115,145,146,159,200,213,238,242_244
+SARLGA251_07870	1791	ssb2	L G:15,17,18,75,81_86,123,126,129,131,209,227,229,250,251,293,300,301,303,308_310,314_316,320_322,324_327,329_334,345
+SARLGA251_07900	4204	x	L G:7,18,78,83,84,119,120,122_125,130,131,137,176,213,215_219,241_244
+SARLGA251_07960	525:1	x	G L:0_6,8,9,12_14,16,18_20,22_26,28,31,38,39,43_63,65_70,73,74,76_78,81,82,90_94,96_118,120_123,127,130_137,139_144,147_158,161_172,174_197,199_207,210_213,215_219,223_226,228_232,235,238_240,242_245,247,252_257,263,265,267_269,271_275,277,278,282,297,298,356,361_363,402,425,453
+SARLGA251_07970	3212:1	x	L G:18,84,86,95,160,164,177_182,185_191,194,209,227,234,237,241,291,293,300,301,303,305,308_310,314,315,320_322,324_327,329_334,345,368,369,379,395
+SARLGA251_07990	11129	x	L G:84
+SARLGA251_08000	9736	x	L G:84,368
+SARLGA251_08050	3299	x	L G:84
+SARLGA251_08210	10541	x	L G:84
+SARLGA251_08220	8685	x	L G:15,17,18,75,82,84
+SARLGA251_08270	11976	x	L G:75,82,84
+SARLGA251_08280	12678	x	L G:84
+SARLGA251_08290	8554	x	L G:78,84
+SARLGA251_08310	15933	x	L G:84
+SARLGA251_08340	3961:2	x	L G:15,17,84
+SARLGA251_08350	5764:1	x	L G:6,15_18,84
+SARLGA251_08360	4948:5	x	L G:84
+SARLGA251_09680	612	x	L G:84,115
+SARLGA251_10230	11204	x	L G:69_77,79_84
+SARLGA251_10660	3111	flr	L G:69,73_77,80,81,84,87_91,97_99,102_108,111,113_115,207_212
+SARLGA251_11240	965	x	L G:4_6,8_25,69_78,80_82,84_86,195_197
+SARLGA251_11580	6283	lytN	L G:15_25,70,73_77,80,83_86,234
+SARLGA251_12210	1260	x	L G:71,72,81_84
+SARLGA251_12870	2263	x	L G:26_28,80,84_86,103_111
+SARLGA251_12890	9140	x	L G:84_86
+SARLGA251_12900	1266	x	L G:84_86
+SARLGA251_12910	13754	x	L G:84,85
+SARLGA251_13170	3011	paiB	L G:15_25,69,70,73_84
+SARLGA251_15860	7940	citC	L G:84
+SARLGA251_16840	14548	x	L G:84
+SARLGA251_16980	6210	x	L G:84,98,99,102
+SARLGA251_17110	3771	x	G L:0_2,6,7,15_25,70_77,79,81,82,88,89,92_99,103_111,119_197,208,209,386
+SARLGA251_17120	3552	x	G L:0_2,6,7,14_82,85_99,103_111,118_197,208,209,226,240,252_257,386,399
+SARLGA251_17130	6348	int	L G:46,47,83,84,112,117,228
+SARLGA251_17860	5138	x	L G:78_84
+SARLGA251_17870	4535	x	L G:78_84
+SARLGA251_18260	4086	x	L G:79,80,83,84,97
+SARLGA251_18270	4622	hemA	L G:78_80,83,84,97
+SARLGA251_18380	583	agrB	G L:0_70,73_77,79_83,87_97,100_194,208_212,243
+SARLGA251_19930	551	x	G L:0_72,78,80,85_92,98,99,102_212
+SARLGA251_20020	7637	x	L G:6,7,78_80,84
+SARLGA251_20440	8159	x	L G:6_14,71_84,93_96,98_101,112_115,210_212,214
+SARLGA251_22610	9540	x	L G:84
+SARLGA251_22620	4602	x	L G:15_25,84,98,99
+SARLGA251_23240	3319	x	L G:4_25,71,72,79,80,83_91
+SARLGA251_23690	2440	sasK	G L:0_2,4_68,78,92,119_197,282
+SARLGA251_24260	11501	sraP	L G:84
+SARLGA251_p020	1387	wbdJ	G L:0,1,3,14,15,17,19_24,39,46,69_71,74,76,77,79,81_83,85_97,101_111,113,115_117,120,124,125,127_129,134_136,139_142,154,166,167,169,170,173,175_177,182,183,187,190,191,194_198,202,205_209,214,220_222,228,229,233,266_273,276,280,285,289,294,304,308_310,357_364,368,371,374,384,389,408,414_416,421,422,425,432,433,454
+SAS0025	6905	x	L G:0,103,104,109,110
+SAS0026	389	x	L G:103,104,110
+SAS0027	6074	x	L G:103,104,109,110
+SAS0028	10708	x	L G:1,103,104,109,110
+SAS0036	13035	x	L G:103,104,109,227
+SAS0037	2128	x	L G:103,104,109,227
+SAS0038	10236	x	L G:103,104,109,227
+SAS0040	12978	x	L G:103,104,109,110,226,227
+SAS0043	10290	x	L G:103,104,109,110,226,227
+SAS0044	6796	x	L G:0,103,104,109,110,164,225
+SAS0101a	8643	x	L G:103_109,111
+SAS0144	5064	x	L G:104,116,117,245,258,259,261_264,266,267,269,272,273,277,281,357_360,365_367,370,371,373,374,378_381,395,409,440
+SAS0369	10215	x	L G:87_91,93_99,103_111,208,209
+SAS0775	38:7	x	G L:0_99,103,108,112,115,119_121,125,130,135,139,167,168,172,176,190,195_197,202,206_214,227,228,231,234,242,247,253,271,291,311,321,346,358,359,365,389,402,413,436
+SAS0903	15791	x	L G:104
+SAS0920	6046:2	x	L G:52,58_60,62,63,65,86,104,134,248,277,360
+SAS0921	13109	x	L G:104
+SAS0922	9951	x	L G:104
+SAS0930	13707	x	L G:104,134,224,239,294,369
+SAS2383	2321	sasG	L G:3,104,106,212
+SASA_00350	9189	x	L G:39,98,110,119_121,138,355
+SASA_02460	11471	x	L G:89,119_121,138,207,213,241
+SASA_03270	8013	x	L G:8,11,51,75_77,122,123,128,130,132,134,135,138,209,214,234,240
+SASA_03280	6487	ssb_6	L G:8,11,75_77,122,123,128,130,135,138,209,214,234,240
+SASA_03290	7942	x	L G:8,11,75_77,113,128,130,138,209,214,226,234,240
+SASA_03470	3326:1	x	L G:11,79,85,97,109,138,169_172,214,226,227,230,238,240,250,251,262_264,271,283,284,290,361_363,389
+SASA_06130	3866	x	L G:46,138
+SASA_08940	38:1	tetM	G L:0_3,17,43,44,79,80,85,86,89,95,96,115,125,130,147,167,168,171,176,227,228,247,380,397,423,440
+SASA_21230	4163	x	L G:138
+SASA_23130	5140	x	L G:136_139,142_161,163_172,175,176,178_181,183,184,187_190,192,193
+SASA_25280	3518	pre	L G:8_12,26_28,43_45,47_69,71,72,90,92,97,101,103_105,108,109,111,112,115,117,138,195,196,208,209,223,225,237,239,263,264,290,366,367,369
+SASA_25290	2519	pre-1	L G:8_12,26_28,43_45,47_69,71,72,90,92,97,101,103_105,107_111,115,117,138,196,208,209,223,225,237,239,263,264,366,367,369
+SASA_25300	5871	pre	L G:8_12,26_28,43_45,47_69,71,72,90,97,101,103_105,107,108,111,112,115,117,138,195,196,208,209,223,225,237,239,263,264,290,366,367,369
+SASA_25330	2538	x	L G:8_12,26_28,40_45,47,49_69,72,73,75,85,98_101,103_105,107_112,115,117,138,143_154,156_160,165,195,196,208_210,213,223_227,237,239,240,262_264,274,278,283,284,290,311_354,366,367,369,426_430,436,456_460
+SASA_25340	2789	repA	L G:8_12,26_28,40_45,47_68,72,73,75,85,98_100,138,143_153,156,157,159,160,165,210,213,223_227,237,239,240,262_264,274,278,283,284,290,311_354,366,367,369,426_430,436,456_460
+SASA_25470	6329	x	L G:99,138,214,369,389
+SASG_00321	9936	x	L G:26
+SASG_00322	8134	x	L G:26
+SASG_00877	10858	x	L G:26,48
+SASG_01270	13510	x	L G:26
+SASG_01496	15932	x	L G:26
+SASG_01508	7779	x	L G:26,27,92
+SASG_01557	15884	x	L G:26_28,85,86,93_96,98_101,208,209
+SASG_01595	14302	x	L G:26
+SASG_02302	11782	x	L G:26,43,44
+SASG_02580	13625	x	L G:26
+SAT0131_00008	2415	x	L G:92,126_128
+SAT0131_00036	3648	mecI	L G:119_123,126_129,131_135
+SAT0131_00071	5830	rluB	L G:4,5,16_25,27_69,85,119_125,127_135
+SAT0131_00077	13841	fur	L G:127,128
+SAT0131_00089	2271	x	L G:3,110,121,127,128,153,154,158,168,213,226
+SAT0131_00090	4575	x	L G:110,121,127,128,153,154,158,168
+SAT0131_00210	10797	x	L G:126_128
+SAT0131_00211	5168	x	L G:126_128
+SAT0131_00276	6753	x	L G:7,98,109,126_128,242_244
+SAT0131_00376	8230	sasD	L G:14,26,85,100,127,128,165,173
+SAT0131_00378	13295	deoD1	L G:127,128
+SAT0131_00379	8394	x	L G:127,128
+SAT0131_00381	2419:2	x	L G:127
+SAT0131_00863	7484	x	L G:85,127,128,178,179,182,187_194
+SAT0131_00864	1641	x	L G:85,127,128,177_179,182,187_194
+SAT0131_01027	1724	oppB2	L G:26_28,43_68,70,79,87,89,98,110,127,134,144,145,211,241,252_257
+SAT0131_01029	1129	x	L G:70,79,87,89,98,110,127,134,144,145,211,241,252_257
+SAT0131_01034	11589	x	L G:119_135,143_169,175_194
+SAT0131_01357	1435	tcaR	L G:42,118,126_128,146,246,394
+SAT0131_01358	3368	x	L G:42,110,118,126_128,146,246,394
+SAT0131_01868	7260	x	L G:126_128
+SAT0131_01869	13721	x	L G:127,128
+SAT0131_02171	3201	dltA	L G:6,7,26_28,43,44,47,48,50,51,54_67,70,71,78,79,83,85,86,116_118,126_128,220_225,232,235,237
+SAT0131_02172	15980	dltB	L G:7,27,28,47,48,50_52,54_67,70,71,86,126_128,220_224,235,237
+SAT0131_02173	5621	x	L G:7,27,28,47,48,50_52,54_67,70,71,86,126_128,220_224,235,237
+SAT0131_02174	2516	int	L G:6,7,26_28,43,44,47,48,50_52,54_67,70,71,78,79,83,85,86,116_118,126_128,220_225,232,235,237
+SAT0131_02186	13008	crtM	L G:87,127,169,179
+SAT0131_02373	11706	qoxA	L G:127,128
+SAT0131_02670	9185	hslU	L G:126_128
+SAT0131_02691	11423	nusA	L G:127,128,167
+SAT0131_02695	15885	sasG2	L G:119_135,165
+SAT0131_02797	4613	x	L G:3_7,11,16,27,28,32,34,39,43,44,46_68,72,73,79,80,86,90_92,102,112_115,119_137,143_161,164,165,167,168,174,177_196,206_210,229,232_234,238,239,277_279,355,381,394,419,433,450
+SAT0131_02805	3262	x	L G:3_7,11,16,27,28,32,34,39,43,44,46_68,72,73,79,80,86,90_92,102,112_115,119_137,143_161,164,165,167,168,174,177_196,206_210,229,232_234,238,239,277_279,355,381,394,419,433,450
+SAT0131_02862	16032	trpG	L G:126_128
+SAT0131_02864	12685	trpD	L G:126_128
+SATG_00066	9355	x	L G:85
+SATG_00071	13575	x	L G:85,86
+SATG_00074	12640	x	L G:85
+SATG_00130	5589:2	x	L G:84_86
+SATG_00131	12958	x	L G:84_86
+SATG_00136	10004	x	L G:85,86
+SATG_00160	7288	x	L G:85,86
+SATG_00224	1869	x	L G:7,85,241
+SATG_00270	15443	x	L G:85,86
+SATG_00271	7866	x	L G:69,85,86,112
+SATG_00272	6303	x	L G:69,78,85,86,112
+SATG_00273	2936	x	L G:69,78,85,86,112
+SATG_00347	4009	x	L G:85,86
+SATG_00374	9260	x	L G:85,150,174,245
+SATG_00390	3306	x	L G:85
+SATG_00435	5562	x	L G:85
+SATG_00459	7329	x	L G:7_11,69,79,83_86
+SATG_00470	13814	x	L G:85,86
+SATG_00486	8790	x	L G:85
+SATG_00511	14511	x	L G:85
+SATG_00555	5792	x	L G:83,85,86,98,99,102,208_212
+SATG_00556	4436	x	L G:4_7,83,85_88,90,91,116_118,195_197
+SATG_00559	6508	x	L G:83,85,86
+SATG_00563	12040	x	L G:85
+SATG_00566	2261	x	L G:6,7,71,72,85,86,92,116_118,195_197
+SATG_00572	3825	x	L G:85,179_181
+SATG_00583	14407	x	L G:78,80,85,86
+SATG_00600	7635	x	L G:85,86
+SATG_00611	3662	x	L G:85,103,140
+SATG_00614	10903	x	L G:85,86
+SATG_00615	15090	x	L G:85
+SATG_00616	10293	x	L G:85
+SATG_00623	15034	x	L G:85
+SATG_00642	9245	x	L G:85,86
+SATG_00669	14300	x	L G:85
+SATG_00670	15654	x	L G:85,86,100_109,111,198_206
+SATG_00671	14919	x	L G:85,86
+SATG_00681	9246	x	L G:85
+SATG_00684	8215	x	L G:85,86
+SATG_00698	11533	x	L G:78,84_86
+SATG_00714	7696	x	L G:78,85
+SATG_00738	12878	x	L G:81_83,85
+SATG_00744	5061	x	L G:85,86
+SATG_00765	3736	x	G L:0_3,15_72,79,80,83,84,87_97,102_111,113_197,207_212
+SATG_00781	10164	x	L G:85,86
+SATG_00807	14152	x	L G:85,86
+SATG_00867	3607	x	L G:15_25,85,86
+SATG_00873	4402	x	L G:26,85,86
+SATG_00914	13878	x	L G:85
+SATG_00916	7173	x	L G:85
+SATG_00952	12345	x	L G:26_28,85,86
+SATG_00995	8369	x	L G:26_28,85,86
+SATG_00996	4171	x	L G:26_28,85,86
+SATG_00997	3511:2	x	L G:26,28,79,80,85,86,198_206
+SATG_00998	7517	x	L G:26_28,85,86
+SATG_00999	4176	x	L G:26_28,85,86
+SATG_01000	5619	x	L G:26_28,85,86
+SATG_01001	1403	lanM	L G:26_28,85,86
+SATG_01002	6647	x	L G:26_28,85,86
+SATG_01003	7059	x	L G:26_28,85
+SATG_01004	52	x	L G:26_28,85,86
+SATG_01005	4494	x	L G:85
+SATG_01007	4302:2	x	L G:26,28,85,86
+SATG_01008	7934	x	L G:26_28,69,85,86
+SATG_01009	2624	x	L G:26,28,85
+SATG_01010	763	x	L G:26_28,85,86
+SATG_01048	4029	x	L G:4_14,70,73_79,81,83_86,195_197
+SATG_01055	11791	x	L G:85,86
+SATG_01079	683	appF	L G:42,79,80,85,89,109,110,123,131,144,146,173,174,176,211,213,214,232,245
+SATG_01083	11187	x	L G:85,109,110,176,213,234
+SATG_01106	11111	x	L G:85
+SATG_01107	12722	x	L G:85
+SATG_01237	5430	x	L G:80,85,86
+SATG_01243	15670	x	L G:85,86
+SATG_01316	10749	x	L G:79,80,85
+SATG_01335	5607	x	L G:8_14,26_28,69,78_82,84_86,195_197
+SATG_01342	13281	x	L G:26_28,85,86
+SATG_01390	2913	x	L G:69,79,81_83,85,86,126_128,196
+SATG_01427	10933	x	L G:85,86
+SATG_01465	4896	x	L G:5,85,86
+SATG_01489	5670	x	L G:85,86
+SATG_01516	8582	x	L G:85,121,379
+SATG_01588	8090	x	L G:85
+SATG_01589	10765	x	L G:4,8_13,85,86
+SATG_01595	12360	x	L G:85,86
+SATG_01597	9177	nrdE	L G:85,100,123,144,246,279
+SATG_01652	3566	x	L G:85,86
+SATG_01664	3149	x	L G:85
+SATG_01683	3991	x	L G:85
+SATG_01733	7826	x	L G:62,85,109,280
+SATG_01734	11726	x	L G:85
+SATG_01736	7659	x	L G:60,85,89,121,308
+SATG_01781	14893	x	L G:85
+SATG_01784	12322	x	L G:85,349,350,354
+SATG_01808	11090	x	L G:85,86
+SATG_01810	14857	x	L G:85
+SATG_01890	10191	x	L G:85,114,115,232
+SATG_01900	11062	x	L G:85
+SATG_01903	9310	x	L G:80,85,237,395
+SATG_01910	11190	x	L G:85
+SATG_01917	7838	x	L G:85,208
+SATG_01935	12260	x	L G:71,79,85,232
+SATG_01936	2498	x	L G:71,79,85,232
+SATG_01986	11233	x	L G:85
+SATG_01994	12909	x	L G:85,86
+SATG_02020	3536	x	L G:71,85
+SATG_02027	4888	x	L G:85
+SATG_02062	13053	x	L G:74,85
+SATG_02122	13155	x	L G:85,86
+SATG_02129	13032	x	L G:85,110,245
+SATG_02132	4280	x	L G:85_91
+SATG_02175	7461	x	L G:85,86
+SATG_02185	15464	x	L G:85
+SATG_02219	4366	x	L G:47,85,411_417,443_445
+SATG_02290	10330	x	L G:85,86
+SATG_02346	6697	x	L G:85
+SATG_02384	14504	x	L G:85,86
+SATG_02414	4923	x	L G:80,85
+SATG_02427	10395	x	L G:85
+SATG_02447	6326	x	G L:0_3,26_69,78,92,97,103_111,208,209
+SATG_02458	9815	x	L G:81_83,85,86
+SATG_02474	447	x	L G:20,53,85,86,100,109,110,112,119,150,240,279,280,325_327,368
+SATG_02483	5341	x	L G:85
+SATG_02547	2872	x	L G:30,31,37,43,44,46,85,109,110,145,241
+SATG_02585	7456	x	L G:51,85
+SATG_02587	8016	x	L G:85,232
+SATG_02588	7991	x	L G:85,232
+SATG_02595	11822	x	L G:85,86
+SATG_02609	11081	x	L G:85,86
+SATG_02633	2879	x	L G:73_77,85,86
+SATG_02666	3033	x	L G:26_28,43_45,47,48,50_68,71,85,90,117,138
+SATG_02674	11073	x	L G:85
+SATG_02675	13535	x	L G:85
+SATG_02676	2523	x	L G:85
+SATG_02677	2992	x	L G:80,85
+SATG_02687	2650	x	L G:19,85
+SATG_02691	15234	x	L G:85,213,226,227
+SATG_02692	9340	x	L G:85,213,226,227
+SATG_02693	4058	x	L G:85
+SATG_02704	3488	x	L G:69,85_91
+SATG_02708	15599	x	L G:27,85
+SATG_02712	4738	x	L G:85,379
+SATG_02718	6615	x	L G:3,71,72,85,86
+SATG_02719	8087	x	L G:3_7,69,71,72,85,86,92
+SATW20_00260	2332	x	L G:16_18,75_77,102,109,114,119_123,126_129,131_135,198,259
+SATW20_00270	4903	x	L G:16_18,75_77,102,109,114,119_123,126_129,131_135,198,259
+SATW20_00300	10307	x	L G:16_18,75_77,102,109,114,119_123,126_129,131_135,198,259
+SATW20_00310	13222	x	L G:16_18,75_77,102,109,114,119,120,122,123,126_129,131_135,198,259
+SATW20_00320	4633	x	L G:16_18,75_77,102,109,114,120,122,123,126_129,131_135,198,259
+SATW20_00350	5982	x	L G:16_18,20,75_77,102,109,114,119,120,122,123,129,131_135,198_206
+SATW20_00370	7539	x	L G:16_18,26,27,75_77,102,109,114,119_123,126_129,131_135,198,259
+SATW20_00450	6037	x	L G:79,84,122,123,126,128,129,131_135
+SATW20_00460	6344	x	L G:79,122,123,126,128,129,131_135
+SATW20_00470	2622	x	L G:79,122,123,126,128,129,131_135
+SATW20_00480	8165	trpC	L G:79,122,126_129,131_135
+SATW20_00490	11483	x	L G:79,122,123,129,131_135
+SATW20_00500	9330	x	L G:129,131_135
+SATW20_00510	15987	x	L G:129,131_135
+SATW20_00520	9855	x	L G:129,131_133,135
+SATW20_00530	4243	hsdR	L G:0,75_77,109,114,126_129,131_135,198_206
+SATW20_00550	2724	gor	L G:30_38,117,120_123,129_135,137,162,171,172,214,216_219,228,234
+SATW20_00560	5518	merR	L G:7,29_38,117,120_123,129_135,137,162,171,172,214,216_219,228,234
+SATW20_00570	13574	x	L G:7,117,122,123,129,131,133,135,162
+SATW20_00590	2569	merT	L G:7,30_38,117,120_123,129_135,137,162,171,172,214,216_219,228,234
+SATW20_00620	3106	x	L G:29_38,117,120_123,129_135,137,162,171,172,214,216_219,228,234
+SATW20_00631	1595	x	L G:15,97,129,133
+SATW20_00640	12503	x	L G:15,97,129,133
+SATW20_00660	3826	tet	L G:2,16_18,31,32,36,39,75,93,95,96,101,114,118,129,131,133,135,136,155,156,162,195,211,228,229,242,244,263,290
+SATW20_00670	2023	pre	L G:2,16_18,30_32,36,39,75,93,95,96,118,129,131_133,135,136,155,156,162,195,228,229,242,244,263,290
+SATW20_00700	3248	mvaS2	L G:0,3,12,15_18,20,39_42,53_69,73_77,90,91,93,94,96,97,102,105_109,114,118,120_129,131_136,143_156,158_164,173,174,177_181,198_206,214_225,227,228,230,234,235,237,259
+SATW20_00770	4562	xylR	G L:0_7,10_55,69_118,130,136_164,166_173,176_219,226_244,275,356,384
+SATW20_00810	3764	x	G L:0_7,10_55,69_118,130,136_164,166_173,176_219,226_244,275,356,384
+SATW20_00820	4805	cadD	L G:119_129,131_135
+SATW20_00870	2186	x	L G:119_129,131_135
+SATW20_00880	13451	x	L G:119_129,131_133,135
+SATW20_00890	7618	x	L G:119,121_129,131_135
+SATW20_00900	4201	rplI	L G:119_129,131_135
+SATW20_00901	6679	x	L G:119_129,131_135
+SATW20_00930	10363	yycF	L G:119_129,131_135
+SATW20_00940	1564	yycG	L G:119_129,131_135
+SATW20_00950	14887	yycH	L G:119_129,131_135
+SATW20_00960	6695	x	L G:3,12,15,69,97,105_108,116,118_129,131_135,143_156,158_161,164,234,235
+SATW20_00970	3903	x	L G:1,2,119_129,131_135
+SATW20_03010	1935	ruvA	L G:3,8_14,29_44,46,71_77,81_83,87_91,97,100,101,112,116,117,119_121,124_131,133_135,195_197,210_212
+SATW20_03020	1566	x	L G:3,8_14,29_40,42_44,46,71_77,81_83,87_91,97,100,101,112,116,117,119_121,124_131,133_135,195_197,210_212
+SATW20_03030	2293	obgE	L G:3,8_14,29_44,46,71_77,81_83,87_91,97,100,101,112,116,117,119_121,124_131,133_135,195_197,210_212
+SATW20_03040	1469	rpmA	L G:3,8_14,29_44,46,71_77,81_83,87_91,97,100,101,112,116,117,119_121,124_131,133_135,195_197,210_212
+SATW20_03280	7104	x	L G:8,11,26,28,85,95,97,105,109,112,115,119_121,124,125,130,133_135,138,173,209,213,214,224,230,231,234,238,240,246,248,249,258_262,264,266,270,274,276,277,279_281,283_296,299,300,302_313,316_319,323_355,357_360,364_378,380_394,396_424,426_452,454_460
+SATW20_03290	2725	x	L G:8,11,26,28,85,89,95,97,105,109,112,115,119_121,124,125,130,133_135,138,200,209,213,214,224,231,234,238,240,246,248,249,258_262,264,266,270,274,276,277,279_281,283_289,291_296,299,300,302_314,316_319,323_355,357_360,364_378,380_394,396_424,426_452,454_460
+SATW20_03300	7053	x	L G:8,11,26,28,85,89,97,105,109,112,115,119_121,124,125,130,133_135,138,200,209,213,214,224,231,234,238,240,246,248,249,258_262,264,266,270,274,276,277,279_281,283_296,299,300,302_314,316_319,323_355,357_360,364_378,380_394,396_424,426_452,454_460
+SATW20_03310	4503	x	L G:8,11,26,28,85,89,97,105,109,112,115,119_121,124,125,130,133_135,138,200,209,213,214,224,231,234,238,240,246,248,249,258_262,264,266,270,274,276,277,279_281,283_296,299,300,302_314,316_319,323_355,357_360,364_378,380_394,396_424,426_452,454_460
+SATW20_03340	2518	x	L G:29,30,32_37,43_45,49,51,53_55,64,75_77,79,83,86_89,119_121,130,133,135,170_172,176,198_207,209,210,215_219,226,227,230,264,283,284,303,357,361,363,379,454
+SATW20_03360	14146	x	L G:86,121,130,133,135,170,215_219,224,282,303
+SATW20_03400	4682	recT	L G:46,119_121,130_133,161,213,223,234,235,239,241,245_259,264_270,272_277,283,284,286_293,295_301,303_317,319_331,333,335_342,345_362,364_366,368_378,380_388,390_452,455_459
+SATW20_03540	10302	x	L G:133
+SATW20_03550	2319	x	L G:9,11,15,17,20,26,60,62,71,79,82,85,86,94,113_115,121_123,128,129,131,133,136,138,170_172,208,214,220_222,224,226_228,233,234,238,240,246,248,258_262,264_270,273,274,276,277,279_281,283,284,286_296,299,300,302_314,316_319,323_355,357_370,372_378,380_394,396_424,426_452,454_460
+SATW20_03570	5649	x	L G:38,86,121,133,177,182_187,189_194,226,257,259,265,286,291,294,299,312_322,324,328_330,332,334_351,354,446,447
+SATW20_03580	12732	x	L G:38,86,121,130,133,135,177,182_187,189_194,213,226,257,259,264,265,271,277,283_286,291,294,298,304,312_324,328_347,349_351,354,357,361_363,446,447,455
+SATW20_03610	1942	x	L G:21,45,46,80,119_121,124,125,129,130,132_135,176,209,226,228,237,258,264,271,277,283,284,303,357,361_363,446,447,455
+SATW20_03620	3853	x	L G:21,45,46,80,119_121,124,125,129,130,132_135,176,209,226,228,237,258,264,271,277,283,284,303,361_363,446,447,455
+SATW20_03630	1874	x	L G:21,45,46,80,119_121,124,125,129,130,132_135,176,209,226,228,237,258,264,271,277,283,284,303,357,361_363,446,447,455
+SATW20_03660	4236	x	L G:21,80,119_121,124,125,129,130,132_135,176,209,226,258,264,271,283,284,303,357,361_363,446,447,455
+SATW20_03670	657	x	L G:21,80,119_121,124,125,129,130,132_135,176,209,226,258,264,271,283,284,303,357,361_363,446,447,455
+SATW20_03680	4334	x	L G:21,45,46,80,119_121,124,125,129,130,132_135,176,209,226,228,237,258,264,271,277,283,284,303,357,361_363,379,446,447,455
+SATW20_03690	1130	x	L G:21,45,46,80,119_121,124,125,129,130,132_135,176,209,226,228,237,258,264,271,277,283,284,303,357,361_363,379,446,447,455
+SATW20_03700	10075	x	L G:21,45,46,80,119_121,124,125,129,130,132_135,176,209,226,228,237,258,264,271,277,283,284,303,357,361_363,379,446,447,455
+SATW20_03710	4123	x	L G:21,45,46,80,119_121,124,125,129,130,132_135,176,209,226,228,237,258,264,271,277,283,284,303,357,361_363,379,446,447,455
+SATW20_03720	1772	x	L G:0,2,21,45,46,80,119_121,124,125,129,130,132_135,176,209,226,228,237,258,264,271,277,283,284,303,357,361_363,379,446,447,455
+SATW20_03730	2430	x	L G:21,45,46,80,119_121,124,125,129,130,132_135,176,209,226,228,237,258,264,271,277,283,284,303,357,361_363,446,447,455
+SATW20_03740	7389	x	L G:21,45,46,80,119_121,124,125,129,130,132_135,176,209,226,228,237,258,264,271,277,283,284,303,357,361_363,446,447,455
+SATW20_03750	2649	x	L G:21,45,46,80,119_121,124,125,129,130,132_135,176,209,226,228,237,258,264,271,277,283,284,303,357,361_363,446,447,455
+SATW20_03760	1882	x	L G:21,80,119_121,124,125,129,130,132_135,176,209,226,258,264,271,283,284,303,357,361_363,446,447,455
+SATW20_03770	5428	x	L G:21,45,46,80,119_121,124,125,129,130,132_135,176,209,226,228,237,258,264,271,277,283,284,303,357,361_363,446,447,455
+SATW20_03820	6123	x	L G:8,21,45,52,58_60,62,63,65,79,86,87,89,95,103,109,112_115,119_121,130,133_135,160,169,171,172,198,200,214,226,231,233,234,237,249,252_256,272,277,287,288,355,379,383,389_393,395_406
+SATW20_03830	5939	x	L G:9,21,38,46,47,61,82,97,114,116,119_121,124,125,128_130,132_135,137,169,171,176,177,182_187,189_194,200,207,213,226,231,234,238,247_249,252_259,264,271,273,279,280,282_285,289_291,293,294,296,298,300,301,303,304,308_310,313,315,316,320,323_335,337,340,342_351,353,354,357,361_363,414,446,447,459,460
+SATW20_03840	1447	amiD	L G:9,10,15,17,18,21,27,38,45_47,52,58,60,62,63,65,75,79,80,82,84,86,89,97,105,112_115,124,125,129,130,132_135,137,169,171,172,176,207,209,226,228,231,234,237,238,264,271,273,277,282_284,293,300,301,303,305,308_310,315,316,321,322,325,330,332_334,345,357,362,395,446,459,460
+SATW20_04580	358	int	L G:119_135,137,177,179_194,220_222
+SATW20_04590	7101	capF	L G:119_135,137,156,177,179_194,220_222
+SATW20_04610	3870	thiI	L G:119_135,137,156,177,179_194,220_222
+SATW20_04620	4643	tetM	L G:4,15_20,39,46,102,119_135,137,156,177,179_194,220_222,224,225,237,243,377,446,447
+SATW20_04650	3398	cap8J	L G:119_135,137,177,179_194,220_222
+SATW20_04660	1994	cap8K	L G:120,122_135,137,177,179_194,220_222
+SATW20_04670	2151	capL	L G:119_135,177,179_194,220_222
+SATW20_04680	3886	capM	L G:119_135,137,177,179_194,220_222
+SATW20_04700	3968	x	L G:101,110,114,119_121,130_133,176,198_206
+SATW20_04710	8648	folA_1	L G:16,101,110,114,119_121,130_133,176,198_206
+SATW20_04720	9542	capN	L G:119_135
+SATW20_04730	12243	capO	L G:122_135
+SATW20_04740	7483	capP	L G:119,120,122_135
+SATW20_04760	8724	ardA	L G:119_135,137,177,179_194,220_222
+SATW20_04770	3274	x	L G:119_122,124,125,127_130,132_135,137,177,179_194,220_222
+SATW20_04780	1830	x	L G:119_135,137,177,179_194,220_222
+SATW20_04790	15091	x	L G:119_135,137,177,179_194,220,222
+SATW20_04800	9710	x	L G:119_135,137,177,179_194,220_222
+SATW20_04810	2495	x	L G:120,122_135,137,177,179_194,220_222
+SATW20_04820	4542	x	L G:119_135,137,177,179_194,220_222
+SATW20_04830	13752	x	L G:119_135,137,177,179_194,220_222
+SATW20_04840	11679	x	L G:119_135,137,177,179_194,220_222
+SATW20_04850	12128	uvrD	L G:120,122_135,137,179_194,220_222
+SATW20_04860	6443	recF_1	L G:119_125,127_130,132_135,137,177,179_194,220_222
+SATW20_05070	5786	x	L G:102,113_115,119_128,130_134,136_194,207
+SATW20_05890	4010	x	G L:0_3,81,82,85,86,93_101,103_111,113_115,198_212
+SATW20_06960	1740	uhpT	G L:0_68,85_91
+SATW20_08890	4357	int	L G:6,7,29_42,73_77,84,98,99,113,120,122_129,131_136,143,145_158,160_163,167,168,171,172,174_194,213,214,229,232,274,278,298,357,384
+SATW20_08900	6468	sek	L G:6,73_77,79,103,104,106_108,113,124_129,131_133,135,136,143,145_158,160_163,166,168,171,172,175_194,213,232
+SATW20_08910	4411	sei	L G:6,7,73_77,79,103,104,106_109,113,120,124_129,132,133,135,136,143,145_147,149_158,160,161,163,166,168,171,172,175_194,232
+SATW20_08920	3455	x	L G:14,120,124,125,129,131_133,135,168,177_179,182,187_194
+SATW20_08930	2512	x	L G:14,80,85,120,124,125,129,131_133,135,168,177_179,182,187_194
+SATW20_08960	4404	x	L G:7,13,14,26,43_45,70,72_77,80_82,85,86,101,117,118,120,124_129,131_133,135,136,165,168,169,171_173,175_192,194,198_203,205,206,220_225,228,235
+SATW20_08970	5122	x	L G:6,46,71,72,101,120,124_129,132,133,135,169,211,226
+SATW20_08980	3786	x	L G:7,13,26,43,44,46,71,73_77,79,100,101,113,120,124,126_129,131_133,135,136,165,168,171,172,175,177_194,198_203,205,206,211,213,220_222,224_226,232
+SATW20_08990	2477	virE	L G:7,13,26,43,44,46,71,73_77,101,113,120,124,125,127_129,131_133,135,136,165,168,171,172,175,177_194,198_203,205,206,211,213,220_222,224_226
+SATW20_09000	2813	x	L G:7,13,26,43,44,46,71,73_77,79,100,101,113,120,124_129,131_133,135,136,165,168,171,172,175_194,198_203,205,206,211,213,220_222,224_226,232
+SATW20_09010	5878	lipA	L G:6,7,13,26,43,44,46,71,73_77,101,113,120,124_129,131_133,135,136,165,168,171,172,175_194,198_203,205,206,211,213,220_222,224_226,232
+SATW20_09040	3888	x	L G:14,26_48,50_52,54_67,71_79,81,82,85,98,99,101,116_118,122_125,127,129,132_136,165,167_169,171_188,190,192,211,214,220_224,226,228,229,232,237,265_271,274,278,298,306,357,384
+SATW20_09050	1537	pfkA	L G:14,26,28_45,47,48,50_52,54_67,71_79,81,82,85,98,99,116_118,120,122_125,127,129,131_136,165,167_169,171_188,190,192,211,214,220_224,226,228,229,232,237,265_271,274,278,298,306,357,384
+SATW20_09090	11258	sufB	L G:120,126,127,129,131_135,176,235,237
+SATW20_09100	2613	ilvH	L G:120,124_127,129,131_135,176,235,237
+SATW20_09110	8744	sufS	L G:120,124_127,129,131_135,176,235,237
+SATW20_13190	12856	x	G L:0_91,95,98,99,101,112,116,121,167,208,209,241
+SATW20_18190	5525	epiB	L G:119_123,126_135
+SATW20_18700	14898	uvrB	L G:119,121_123,126_135,143_169,175_194
+SATW20_19440	12663	x	L G:119_121,123,131_133,135
+SATW20_19610	9037	x	L G:39,73,121_124,126_135,169,236,379
+SATW20_19690	8881	x	L G:3,39,122_128,131_135,164,165,168,169,213,236,250,251,285,379
+SATW20_19700	13821	x	L G:131_133
+SATW20_19860	13599	x	L G:45,53_55,119_121,132,133,281
+SATW20_20290	10900	x	L G:119_121,130_133,135
+SATW20_20300	9644	x	L G:119_121,130_133,135
+SATW20_20320	10120	rusA_1	L G:119_121,130_133,135
+SATW20_20330	6361	x	L G:119_121,130_133,135
+SATW20_20340	12170	x	L G:119_121,130_133,135
+SATW20_20350	11540	x	L G:119_121,130_133,135
+SATW20_20360	5778	x	L G:119_121,130_133,135
+SATW20_20370	11536	x	L G:119_121,130_133,135
+SATW20_20380	6644	x	L G:119_121,130_133,135
+SATW20_20410	6987	x	L G:119_121,130_133,135
+SATW20_20420	9809	nrdI	L G:119_121,130_133,135
+SATW20_20430	12122	x	L G:119_121,130_133,135
+SATW20_20440	5037	x	L G:119_121,130_133,135
+SATW20_20450	4823	x	L G:119_121,130_133,135
+SATW20_20460	7390	x	L G:119,130_133,135
+SATW20_20470	11247	x	L G:119_121,130_133,135
+SATW20_20480	10887	x	L G:119_121,130_133
+SATW20_20490	15547	x	L G:119_121,130_133,135
+SATW20_20500	1471	dcm	L G:119,120,130_133,135
+SATW20_20510	10453	x	L G:119_121,130_133,135
+SATW20_20520	9607	x	L G:119_121,130_133
+SATW20_20530	8078	x	L G:119_121,130_133,135
+SATW20_20540	10481	x	L G:119_121,130_133,135
+SATW20_20550	10702	x	L G:119_121,130_133,135
+SATW20_20560	4642	x	L G:119_121,130_133,135
+SATW20_20570	9167	x	L G:119_121,130_133,135
+SATW20_20580	14741	x	L G:119_121,130_133,135
+SATW20_20590	5220	x	L G:119_121,130_133,135
+SATW20_20600	6577	x	L G:119_121,130_133,135
+SATW20_20610	3388	x	L G:119_121,130_133,135
+SATW20_20620	5751	x	L G:119_121,130_133,135
+SATW20_20630	3202	x	L G:119_121,130_133,135
+SATW20_20670	4788	x	L G:119_121,130_133,135
+SATW20_20700	3399	aacA-aphD	L G:39,56,57,60,62,63,87,89,109,114,119_126,129,130,132_135,137,173,175,177_179,181,184_186,188,189,192,193,198_205,214,221,225,237,240,263,265,278,280,283,284,290,294,361,362,367,379
+SATW20_20710	12067	x	L G:39,56,57,60,63,87_89,109,114,120_124,126,129_135,137,173,175,177_181,184_186,188,189,192,193,198_205,214,221,225,237,240,263,265,278,280,283,284,290,294,361,362,367,379
+SATW20_20720	1482:1	truncated-tnp	L G:39,56,57,60,62,63,88,89,109,114,119_121,123_134,137,173,175,177_194,198_205,215_219,221,225,237,240,263,265,278,280,283,284,289,290,294,367,379
+SATW20_20760	8546	aphA	L G:0,4,39,73,75,93_96,103,109,114,119,120,122,123,130_135,143_154,156_160,176,199,200,202_206,214,230,237,240,263,274,278,290,311_354,427_430,436,456_460
+SATW20_20780	8566	aadK	L G:0,4,39,73,75,93_96,103,109,114,119_123,130_135,176,199,200,202_206,213,214,230,237,263,290
+SATW20_20790	5787	x	L G:119_121,130_133,135
+SATW20_20800	14111	x	L G:119_121,130_133,135
+SATW20_20810	119	x	L G:119,120,130_133,135
+SATW20_20820	4541	x	L G:119_121,130_133,135
+SATW20_20830	10566	x	L G:119_121,130_133,135
+SATW20_20840	12460	x	L G:119_121,130_133,135
+SATW20_20850	4497	x	L G:119_121,130_133,135
+SATW20_20870	7279	x	L G:119_121,130_133,135
+SATW20_20880	6486	x	L G:119,121,130_133,135
+SATW20_20890	7675	x	L G:119_121,130_133,135
+SATW20_20900	14888	x	L G:119_121,130_133,135
+SATW20_20910	11980	x	L G:119_121,130_133,135
+SATW20_20920	5287	x	L G:119_121,130_133
+SATW20_20930	9289	x	L G:119,130_133,135
+SATW20_20940	2026	x	L G:119_121,130_133,135
+SATW20_20950	12462	x	L G:119_121,130_133
+SATW20_20980	13215	x	L G:119_121,130_133,135
+SATW20_20990	13412	x	L G:119_121,130_133
+SATW20_21000	531	x	L G:119_121,130_133,135
+SATW20_21010	14123	x	L G:119_121,130_133
+SATW20_21020	10408	x	L G:119_121,130_133
+SATW20_21050	13475	x	L G:119_121,130_133,135
+SATW20_21060	6090	x	L G:120,130_133,135
+SATW20_21070	10134	x	L G:119_121,130_133,135
+SATW20_21080	5952	x	L G:119_121,130_133,135
+SATW20_21090	9683	x	L G:119_121,130_133,135
+SATW20_21100	5676	x	L G:119_121,130_133,135
+SATW20_21110	12916	x	L G:119_121,130_133,135
+SATW20_21120	2235	x	L G:119_121,130_133,135
+SATW20_21130	7017	x	L G:119_121,130_133
+SATW20_21140	2711	x	L G:119_121,130_133,135
+SATW20_21160	5810	x	L G:119_121,130_133,135
+SATW20_21170	5025	x	L G:119_121,130_133
+SATW20_21180	10008	x	L G:119_121,130_133,135
+SATW20_21190	8384	x	L G:119,120,130_133,135
+SATW20_21200	601	x	L G:119_121,130_133,135
+SATW20_21210	13004	x	L G:119,121,130_133,135
+SATW20_21220	4577	x	L G:119_121,130_133,135
+SATW20_21230	11136	x	L G:119_121,130_133,135
+SATW20_21240	16052	x	L G:119_121,130_133,135
+SATW20_21250	8024	x	L G:119_121,130_133,135
+SATW20_21260	9674	x	L G:119_121,130_133,135
+SATW20_21270	6728	x	L G:119_121,130_133,135
+SATW20_21280	9655	x	L G:119_121,130_133,135
+SATW20_21290	6891	x	L G:119,121,130_133,135
+SATW20_21300	6823	x	L G:119_121,130_133,135
+SATW20_21310	10376	x	L G:119_121,130_133,135
+SATW20_21330	6631	x	L G:120,121,130,132,133,135
+SATW20_21340	13932	x	L G:120,130,132,133,135
+SATW20_21380	2864	x	L G:119,130,131,133,135
+SATW20_21390	13755	x	L G:119_121,130,131,133
+SATW20_21400	7598	x	L G:119_121,130,131,133,135
+SATW20_21410	11330	x	L G:119_121,130,131,133,135
+SATW20_21420	6800	x	L G:119_121,130,131,133,135
+SATW20_21430	5643	x	L G:119_121,130,131,133,135
+SATW20_21450	5865	x	L G:119,120,130,131,133,135
+SATW20_21460	9765	x	L G:119_121,130,131,133,135
+SATW20_21461	12330	x	L G:119_121,130,131,133
+SATW20_21480	11156	x	L G:119_121,130,131,133
+SATW20_21490	8573	x	L G:119,120,130,131,133,135
+SATW20_21500	7530	x	L G:119_121,130,131,133,135
+SATW20_21510	12338	x	L G:119_121,130,131,133,135
+SATW20_21520	1875	x	L G:119_121,130,131,133,135
+SATW20_21530	11728	x	L G:119_121,130,131,133,135
+SATW20_21540	12871	x	L G:119,121,131,133
+SATW20_21550	11670	x	L G:119_121,130,131,133,135
+SATW20_21560	12193	x	L G:119,121,130,131,133,135
+SATW20_21570	10378	x	L G:119_121,130,131,133,135
+SATW20_21580	6920	x	L G:119_121,130,131,133,135
+SATW20_21590	13048	x	L G:119_121,130,131,133,135
+SATW20_21600	7428	x	L G:120,130,131,133,135
+SATW20_21610	7090	x	L G:119_121,130,131,133,135
+SATW20_21620	5696	x	L G:119_121,130,131,133,135
+SATW20_21630	14246	x	L G:119_121,130,131,133,135
+SATW20_21640	5928	x	L G:119_121,130,131,133,135
+SATW20_21650	6391	x	L G:119_121,130,131,133,135
+SATW20_21660	4325	x	L G:119_121,130,131,133,135
+SATW20_21670	9498	x	L G:119_121,130,131,133,135
+SATW20_21680	5110	x	L G:119_121,130,131,133,135
+SATW20_21690	3816	x	L G:119_121,130,131,133,135
+SATW20_21700	12596	x	L G:120,121,130,131,133,135
+SATW20_21710	4800	x	L G:119_121,130,131,133,135
+SATW20_21720	9404	x	L G:119_121,130,131,133,135
+SATW20_21730	4055	x	L G:119,130,131,133
+SATW20_21740	5733	x	L G:119_121,130,131,133,135
+SATW20_21750	13613	x	L G:119_121,130,131,133,135
+SATW20_21760	11381	x	L G:119_121,130,131,133
+SATW20_21770	10629	x	L G:119_121,130,131,133,135
+SATW20_21780	3647	x	L G:119_121,130,131,133,135
+SATW20_21790	12940	x	L G:119_121,130,131,133,135
+SATW20_21800	9559	x	L G:119_121,130,131,133
+SATW20_21810	12423	x	L G:119_121,130,131,133
+SATW20_21820	9586	x	L G:120,121,130_133,135
+SATW20_21830	13891	x	L G:119_121,130_133
+SATW20_21840	11097	x	L G:119_121,130_133,135
+SATW20_21850	1726	x	L G:119,121,130_133,135
+SATW20_28290	4565	cna	L G:5,8,12_14,23,48,50,57_65,79,92,99,105,107,119_122,124_130,132_135,208
+SATW20_p1010	9074	merB	L G:7,29_38,117,120_123,129_135,137,162,171,172,214,216_219,228,234
+SATW20_p1040	3835	x	L G:4,5,13,40_42,75,80,97_99,112,118_120,130,132,133,137,161_165,168,171,172,210,214_219,228,231,232,235,236,238,241_261,275,277,281,282,286_288,291_293,295_303,305_307,355,356,365,370,372,373,375_378,380_383,385_388,390_395,399_403,405_407,409_413,417_420,431,434,435,437_453,455
+SATW20_p1050	4316	x	L G:4,5,13,40,42,75,80,97_99,112,118_121,130,132,133,137,161_165,168,171,172,210,214_219,228,231,232,235,236,238,241_258,260,261,275,277,281,282,287,288,292,293,295_303,305,307,356,365,370,372,376_378,380_383,385_388,390_395,397_402,405_407,409_413,417_420,431,434,437_447,449_452,455
+SATW20_p1080	1434	cadC	G L:2,3,5,6,14_21,25_39,43_68,70_72,74,76_79,81_96,102,106,113,116,122_129,131,134_136,138_142,155,166,167,169,170,173,175_177,182,183,187,190,191,194,197,198,201,202,205_207,220_222,229,233,234,236,265_273,276,279,280,285,289,294,304,308_310,357_364,368,371,374,379,384,389,408,414_416,421_425,432,433,454
+SATW20_p1090	7597	x	L G:117,119_121,130,132,133,137,171,172,214_219,263,290,399
+SATW20_p1100	3572	x	L G:119_121,130,132,133,137,171,172,214_219
+SATW20_p1110	248	rep	L G:2,4,5,7,13,29_38,71,90,93,95_97,112,114,117_122,130_133,137,161_164,168,171,172,178_181,184_186,188,189,192,193,214_219,221,228,231,232,234_236,238,241_261,275,277,281,282,286_288,291_293,295_303,305_307,355,356,365,370,372,373,375_378,380_383,385_388,390_407,409_413,417_420,431,434,435,437_453,455
+SATW20_p1120	3113	x	L G:0,2,4,5,7,13,29_38,71,90,93,95_97,112,114,117_122,130_133,137,161_164,168,171,172,178_181,184_186,188,189,192,193,213_219,221,226_228,231,232,234_236,238,241_261,275,277,281,282,286_288,291_293,295_303,305_307,355,356,365,369,370,372,373,375_378,380_383,385_388,390_407,409_413,417_420,431,434,435,437_453,455
+SATW20_p1130	15618	x	L G:0_2,119,121,122,124,125,130_133,137,215_219,221,224,228,263,290,369
+SATW20_p1140	2926	qacA	L G:0_2,119,120,122,124,125,130_133,137,215_219,221,224,225,228,263,290,367,369
+SATW20_p1150	5128	qacR	L G:0_2,119_122,124,125,130_133,137,215_219,221,224,225,228,263,290,367,369
+SATW20_p1160	2276	x	L G:73,119,120,124,125,130,132,133,137,143_154,156_160,215_219,227,240
+SATW20_p1170	5811:1	bin3	L G:0_2,4,5,13,29_36,38,40_42,69,73,75,78,80,92,93,95_99,101,103,111,112,114,115,118_121,124,125,130,132,133,137,143_154,156_165,171,172,178_181,184_186,188,189,192,193,195,196,208_210,213,215_219,225_228,230_232,234_238,240_261,263,275,277,281,282,286_288,290_293,295_303,305_307,355,365,367,370,372,373,375_378,380_383,385_388,390_407,409_413,417_420,431,434,435,437_453,455
+SATW20_p1210	4105	cadC	L G:29_38,93,95,96,130,132,133,137,171,172,214_219,228,234,237
+SATW20_p1260	3933	x	L G:29_38,120,121,130,132,133,137,171,172,214,216_219,228,234
+SATW20_p1270	983	x	L G:29_38,117,120_123,129_135,137,162,171,172,214,216_219,228,234
+SATW20_p1290	1175	merA	L G:7,29_38,117,122,123,129_135,137,162,171,172,214,216_219,228,234
+SATW20_p2020	1601	x	L G:4,6,84,120,122,123,126,130_133,143_145,147_150,153,155,158,160,161,172
+SAUG_00032	8807	x	L G:52,86,98
+SAUG_00280	13306	x	L G:86
+SAUG_00364	12073	x	L G:86
+SAUG_00442	10407	x	L G:86
+SAUG_00455	38:69	x	L G:86
+SAUG_00535	7135	x	L G:86
+SAUG_00536	13146	x	L G:86
+SAUG_00622	12472	x	L G:6,7,86
+SAUG_00690	5407	x	L G:86,89,109,110,144,234
+SAUG_00706	12456	x	L G:86
+SAUG_00722	12492	x	L G:86
+SAUG_00776	12718	x	L G:86
+SAUG_00799	6134	x	L G:86
+SAUG_00902	2797	x	L G:86
+SAUG_00915	12167	x	L G:85,86
+SAUG_01024	12401	x	L G:86
+SAUG_01063	3282	x	L G:86,188
+SAUG_01239	13298	x	L G:86
+SAUG_01340	2762	x	L G:86
+SAUG_01384	2855	x	L G:86
+SAUG_01507	11867	x	L G:86
+SAUG_01521	5067	x	L G:78,86
+SAUG_01570	15270	x	L G:85,86
+SAUG_01745	10227	x	L G:86
+SAUG_01799	13474	x	L G:86
+SAUG_01832	11812	x	L G:86
+SAUG_01844	15040	x	L G:86
+SAUG_01943	10126	x	L G:86,139,140
+SAUG_01970	15926	x	L G:86
+SAUG_02026	7474	x	L G:86
+SAUG_02029	6454	x	L G:86,121,198
+SAUG_02030	12160	x	L G:86
+SAUG_02139	11596	x	L G:86
+SAUG_02153	13715	x	L G:86
+SAUG_02249	3204	x	L G:86,146,209,234
+SAUG_02284	6316	x	L G:86
+SAUG_02292	13189	x	L G:86
+SAUG_02347	6716	x	L G:86
+SAUG_02373	3036	x	L G:86
+SAUG_02376	10037	x	L G:86
+SAUG_02382	11810	x	L G:86
+SAUG_02408	14346	x	L G:86
+SAUG_02420	11459	x	L G:86
+SAUG_02428	13491	x	L G:86
+SAUG_02429	10437	x	L G:86
+SAUG_02493	4907	x	L G:86
+SAUG_02499	13180	x	L G:86
+SAUG_02515	12771	x	L G:86
+SAUSA300_pUSA030004	14568	x	L G:155
+SAUSA300_pUSA030032	14039	nes	L G:155
+SAV1020	10572	x	L G:221
+SAVC_01185	13722	x	L G:139,140
+SAVC_03005	15524	x	L G:99,140
+SAVC_03450	13163	x	L G:119,121,140,213
+SAVC_03455	11707	x	L G:119,121,140,213
+SAVC_04681	12578	x	L G:139,140
+SAVC_05645	10262	x	L G:140
+SAVC_05650	2935	x	L G:140
+SAVC_05655	9126	x	L G:140
+SAVC_05660	12246	x	L G:140
+SAVC_05670	5617	x	L G:126,130,140
+SAVG_00034	3639	x	L G:4_7,26_68,70,85,86,92,102,112_118
+SAVG_00036	11616	x	L G:29_38,78,80
+SAVG_00037	6503	x	L G:26_53,55_68
+SAVG_00045	8263	x	L G:26_68,113_115
+SAVG_00096	4627	x	L G:26_68
+SAVG_00133	9582	x	L G:30_38,87_89
+SAVG_00135	1165	x	L G:4_7,21_69,85,86
+SAVG_00138	4390	x	L G:4,6_9,11_13,15,16,18_55,57_68,70_79,83,85,86
+SAVG_00228	3069	x	L G:15,16,18_38,40,42,44_68
+SAVG_00322	14161	x	L G:26_68
+SAVG_00359	6232	tnp3	L G:26,28,32_36,38,40,42,43,45_51,53_68,87_92
+SAVG_00443	8759	x	L G:26_68,119_133,135
+SAVG_00449	15264	x	L G:27_68,119_125,129_135
+SAVG_00473	3506	x	L G:6,29_68,122_129,134,135
+SAVG_00497	3090	x	L G:29,30,32_45,47_68,119_135,198_206
+SAVG_00536	1079	x	L G:4,6,10,11,15,17_19,21,22,25,29_41,43,44,46,47,50_55,59,66,67,80,89,90,108_110,123,131,198,200_206,209
+SAVG_00539	998	x	L G:7,15_21,23_25,29,30,32_38,40_48,50_68,122_124,126_135
+SAVG_00556	4768	x	L G:29_40,42,45,46,122_124,126_129,134,135
+SAVG_00590	8066	x	L G:29_45,47,49_52,55_68,135
+SAVG_00600	2040	x	L G:4_7,16_25,27_69,85,119_125,127_135
+SAVG_00765	6111	x	L G:26_40,42_45,47_52,56_65,67,68,119_124,126_135
+SAVG_00805	8424	x	L G:26_38,40_52,54_68,119_135
+SAVG_00810	7778	x	G L:0_2,69,95,309,454
+SAVG_00838	11629	x	G L:0_3,6_14,51,129,143_146,149,151_158
+SAVG_00873	1986	x	G L:0_2,87_91,95
+SAVG_00892	5851	x	L G:26_69
+SAVG_00902	12386	x	L G:26_51,53_68,84
+SAVG_00908	14104	x	L G:4_49,51_68,78,84,87_91,207
+SAVG_00914	4172	x	L G:4_38,40_69,87_91
+SAVG_00923	15173	x	L G:29_38
+SAVG_01050	2141	x	L G:26,28_43,45,47_68
+SAVG_01117	10703	x	L G:29_38
+SAVG_01195	5182	x	L G:26_44,46_68
+SAVG_01206	14332	x	L G:26_68
+SAVG_01212	6404	x	L G:4,5,8,9,29_38,48,71,133,199
+SAVG_01280	11173	x	L G:26,28_68
+SAVG_01300	7906	x	L G:26_68
+SAVG_01451	13460	x	L G:26_68
+SAVG_01465	5443	x	L G:29_38
+SAVG_01485	11524	x	L G:29_38
+SAVG_01518	5893	x	L G:3,26,29_46
+SAVG_01608	13299	x	L G:26_68
+SAVG_01617	4912	x	G L:0_25,70,87_91,100,143,228,229
+SAVG_01620	5774	x	L G:4_14,26_44,46_68
+SAVG_01662	7851	x	L G:5_7,10_14,26_68,85,86
+SAVG_01677	13380	x	L G:26_68
+SAVG_01710	3475	x	L G:29_42,81,98,99,122,123,134,167,174,214,229,274,278,298,357,384
+SAVG_01711	6196	x	L G:29_42,81,98,99,101,122,123,134,167,174,214,229,274,278,298,357,384
+SAVG_01712	2803	x	L G:29_42,81,98,99,101,122,123,134,167,174,214,229,274,278,298,357,384
+SAVG_01713	2122	x	L G:29_42,81,98,99,122,123,134,167,174,214,229,274,278,298,357,384
+SAVG_01717	2742	x	L G:29_42,167,214,237,240,241,265_271,298,357,384
+SAVG_01728	5686	x	L G:29_42,167,357
+SAVG_01729	2125	x	L G:29_42,167,357
+SAVG_01742	3342	x	G L:0_14,26,46,51,52,69,73_77,80,84,87_91,105,114,116_118,144,198_206,211,233,371
+SAVG_01956	9318	x	L G:29_38
+SAVG_01969	12225	x	L G:26_68
+SAVG_01977	7221	x	L G:15_68
+SAVG_02026	5032	x	L G:29,30,32_37,87_89,454
+SAVG_02037	1000	x	L G:21,26,29,30,32_37,45,47,48,52,58_60,62_65,72,79,87_89,126,129,131,134,172,208,230,271,277
+SAVG_02047	3695	x	L G:29,30,32_37
+SAVG_02050	4214	x	L G:29,30,32_37,43_45,49,51,53_55,64,75_77,79,86_89,198_206,215_219,226,227,271,379,454
+SAVG_02051	933	x	L G:29,30,32_37,51,53_55,64,79,226,227,271,379,454
+SAVG_02052	7663	x	L G:29,30,32_37,51,53_55,64,79,226,227,271,379,454
+SAVG_02053	14704	x	L G:29,30,32_37
+SAVG_02056	4906	x	L G:29,30,32_37,89,233,361,362
+SAVG_02086	13370	x	L G:29_38,119
+SAVG_02118	782	x	L G:29_38,53,211
+SAVG_02235	5069	x	L G:26,28,30,32_34,36,42,45,47_51,54,55,57_68,72,85,86
+SAVG_02246	10412	x	L G:29_38
+SAVG_02272	8872	purS	L G:26_53,55_68
+SAVG_02301	4770	x	G L:0_14,69_91,102,112_194,228
+SAVG_02339	10385	x	L G:26_33,35_68,82
+SAVG_02416	11466	x	L G:26_52,54_68
+SAVG_02494	7243	x	L G:29_38
+SAVG_02495	14209	x	L G:29_38
+SAVG_02496	12275	x	L G:29_38,75,97,116
+SAVG_02499	3520	x	L G:29_38
+SAVG_02502	3779	x	L G:15,17,29_38,81,85,240
+SAVG_02504	3636	x	L G:15,17,26,29_38,45,46,79_82,85,87,116,128,145,146,159,169,173,198,200,227,237,252_256,277,281,282,287,293,300,301,303,308_310,314_316,320_322,325_327,329_334,345,385_442
+SAVG_02505	5038	x	L G:26,29_38,46,79,83,145,146,159,173,252_256,282,287,385_394,396_442
+SAVG_02512	12721	x	L G:29_38
+SAVG_02517	8450	x	L G:29_38,123,131,226
+SAVG_02518	9810	x	L G:29_38,123,131,226
+SAVG_02519	10678	x	L G:6,7,29_38
+SAVG_02521	114	dam	L G:15,29_38,45,213,229
+SAVG_02527	4980	x	L G:26,27,29_68
+SAVG_02529	10272	x	L G:26_68,70,78,79,81_84,113_118
+SAVG_02555	2483	x	L G:6_12,14,26,28_55,70,79_83,85_91,98_101,103_111,195_197
+SAVG_02643	3544	x	L G:5,29_38,100,171,172,214,223,225,226,234
+SAVG_02645	4676	sin	L G:4,5,7,26_38,43_45,47,48,50_68,71,72,85,90,117,138,171,172,226,234
+SAVG_02658	11182	x	L G:29_38
+SAVP004	12679	x	L G:221,369
+SAVP013	10562	truncated-res	L G:221
+SAVP015	12084	x	L G:221
+SAVP021	5716	x	L G:221
+SAVP030	11576	truncated-res	L G:221
+SAWG_00657	15282	x	L G:26,29,31_38,43,47,48,51,53_55,61
+SAWG_01350	4816	x	L G:26,28_38,40,42,44_65,67,68,79_82,100,113
+SAWG_01476	9920	x	L G:7,36,38,85,86
+SAWG_01994	13727	x	L G:16,29_38
+SAWG_02126	8597	x	L G:4,5,8_14,26_64,66_68,112,116_118,195_197,207_209
+SAWG_02491	4930	x	L G:35,36
+SAXG_00388	14730	x	L G:39_42
+SAXG_00470	15748	x	L G:40
+SAXG_00578	14731	x	L G:40
+SAXG_00715	7165	x	L G:40
+SAXG_00985	10149	x	L G:40
+SAXG_01290	12121	x	L G:40,81
+SAXG_01451	14157	x	L G:40
+SAXG_02412	7189	x	L G:40,125
+SAYG_00124	16056	x	L G:39,43,44,53,84
+SAYG_00283	10391	x	L G:53,206
+SAYG_00479	7733	x	L G:53,89,109,110
+SAYG_00574	14967	x	L G:53
+SAYG_00732	14273	x	L G:53
+SAYG_00839	8495	x	L G:53
+SAYG_00889	7269	x	L G:53
+SAYG_00925	1195	x	L G:53
+SAYG_00929	13984	x	L G:53,121
+SAYG_01531	15422	x	L G:43,44,53,65
+SAYG_01589	5698	x	L G:39,53
+SAYG_01742	15125	x	L G:53
+SAYG_01775	15792	x	L G:28,47_51,53_68
+SAYG_01962	14008	x	L G:53
+SAYG_01971	2246	x	L G:53,89,109
+SAYG_01976	9630	x	L G:53
+SAYG_02023	5315	x	L G:53
+SAYG_02040	14535	x	L G:53
+SAYG_02102	2693	x	L G:53
+SAYG_02108	15880	x	L G:53
+SAYG_02244	15331	x	L G:53
+SAYG_02350	2200	x	L G:53
+SAYG_02606	4587	x	L G:53
+SAZ172_0064	4678	tet	L G:132
+SAZ172_0321	13955	x	L G:132
+SAZ172_0575	1482:9	x	L G:132
+SAZ172_0938	1482:3	x	L G:132
+SAZ172_1100	15574	x	L G:132,134
+SAZ172_1320	1482:12	x	L G:132
+SAZ172_1615	1482:13	x	L G:132
+SAZG_00120	2870	x	L G:34
+SAZG_00131	10601	x	L G:34
+SAZG_00534	4895	x	L G:34
+SAZG_00559	7528	x	L G:34
+SAZG_00856	14436	x	L G:34
+SAZG_01247	12575	x	L G:34
+SAZG_01687	9256	x	L G:34
+SAZG_02313	10958	x	L G:34,79
+SAZG_02542	13181	x	L G:34
+SCAG_00055	7099	x	L G:30
+SCAG_00101	15766	x	L G:30
+SCAG_00675	4153	x	L G:30
+SCAG_01144	8824	x	L G:30
+SCAG_01169	7089	x	L G:30
+SCAG_01825	14949	x	L G:30,137
+SCAG_02364	8121	x	L G:30
+SCAG_02598	14921	x	L G:30,132
+SCAG_02607	12161	x	L G:30
+SDAG_01134	11778:2	x	L G:28,48,50,51,54,55
+SDAG_01456	14168	x	L G:26_68
+SDAG_01492	13947	x	L G:50
+SDAG_01494	10553	x	L G:50
+SDAG_01507	14202	x	L G:50
+SDAG_01513	341:2	x	L G:15,26,50,169,227
+SDAG_01743	4384	x	L G:50
+SDAG_02590	15898	x	L G:27,28,47_51,54,55,57_68
+SFAG_00212	8774	x	L G:28
+SFAG_00615	15582	x	L G:26_28,85,86
+SFAG_00906	15637	x	L G:28
+SFAG_01342	8186	x	L G:28
+SFAG_01930	4063	x	L G:28
+SFAG_02076	14485	x	L G:28
+SFAG_02714	2869	x	L G:28
+SFAG_02719	2425	x	L G:28
+SFAG_02732	13683	x	L G:28
+SFAG_02749	11562	x	L G:28,47,52,55,67
+SGAG_02067	11122	x	L G:242_244
+SGAG_02535	5297	x	L G:13,161,163,164,231,232,235,236,238,241_261,275,277,281,282,286_288,291_293,295_303,305_307,355,356,365,370,372,373,375_378,380_383,385_388,390_407,409_413,417_420,431,434,435,437_453,455
+SGAG_02537	7818	x	L G:13,161,163,164,168,231,232,235,236,238,241_261,275,277,281,282,286_288,291_293,295_303,305_307,355,356,365,370,372,373,375_378,381_383,385_388,390_407,409_413,417_420,431,434,435,437_453,455
+SHAG_00785	9188	x	L G:55
+SHAG_00840	13925	x	L G:55
+SHAG_01281	11286	x	L G:55
+SIAG_00523	13961	x	L G:56_68,279
+SIAG_01147	9658	x	L G:26_68
+SIAG_01191	12032	x	L G:27_40,42,45_68
+SIAG_01266	14443	x	L G:26_40,42_52,56_68
+SIAG_01272	7832	x	L G:26_38,40_68
+SIAG_01440	13442	x	L G:29_68,119,121_135
+SIAG_01708	12823	x	L G:67,113_115
+SIAG_01873	3699	x	L G:26_38,43_68
+SIAG_02127	38:9	x	L G:26,57,58,60_63,65,67,68
+SKAG_00782	15337	x	L G:92_96,113_194
+SKAG_01287	10530	x	L G:156
+SKAG_01589	13210	x	L G:156
+SKAG_02470	14660	x	L G:156
+SKAG_02471	15619	x	L G:156
+SKAG_02504	15217	x	L G:156
+SKAG_02505	11723	x	L G:156
+SLAG_00091	10698	x	G L:0_91,103_111,119_197
+SLAG_00252	8509	x	L G:213_231,233_240,242_244,247,252,256,261_264,269,272,273,281,298,345_355,365,369,371,372,383,391,392,394,395,407,409,411,413,415,416,425,429_431,437,438,440,445,450,453_455,460
+SLAG_00369	8474	x	G L:0_14,69_207,210_212
+SLAG_00456	13911	x	L G:246_257,283_356,382_460
+SLAG_00545	4189	x	G L:0_212,222,282
+SLAG_00649	10768	x	G L:0_97,99_194,202,206,207,209_212,214,225,226,228,234,236,242,287,303,316,328,334,399
+SLAG_00749	7417	x	L G:5,20,31,52,56_68,92,100,119,120,175,177_195,213,225,227,239,240,245_247,250,251,258,259,262_269,277_282,285,289_298,300,301,304_307,309_314,316_321,323_355,357,358,360_363,366,367,369_374,378_382,384,395,439,444,446,447,453,454,458,459
+SLAG_01197	3570:3	x	L G:345
+SLAG_01264	10182	x	G L:0_214,227,228,241,359,360,379
+SLAG_01301	16021	x	G L:0_78,80_212,228
+SLAG_01302	9349	x	G L:0_213,226_228,230,231,234,240,291,358,360,361,368,389,452
+SLAG_01787	14377	x	G L:0_91,93_197,202,206_214,227,228,230,233,234,278,280,291,305,318,355,372,375,408,409,414,419,456
+SLAG_01986	7527	x	G L:0_3,6_86,92_96,98,99,103_112,119_135,144,167,176,198_209,228,234
+SLAG_02034	11557	x	L G:245_310,313_357,359_460
+SLAG_02374	14062	x	L G:91,213,239,245_257,274,282_290,292,293,295_298,300,301,303_317,319_354,370,374_378,380_388,390,394_403,405_435,437_450,452,455_460
+SLAG_02666	1621	x	L G:4,9,20,26,38,40_42,62,71,94,100,101,164,167,169,209,225,232,258,260,262_264,272_274,278,280,283,284,291_293,295,296,298_301,303_322,324_354,357_360,365,369,371,375,376,378,395,426,435,439,444,448,449,453,458,459
+SLAG_02862	13579	x	G L:0,3_7,10_14,17_45,47_55,66,69_87,90_123,126_136,138_164,166_168,170_174,176_181,183,195_211,213_219,225_227,229_233,235_239,241_246,259,280,283_285,291,356,366,367,384_388,418,419,438
+SLAG_03005	2493:2	x	L G:345
+SMAG_02939	12037:2	x	L G:293
+SMAG_02942	14012	x	L G:293
+ST398NM01_0841	15320	x	L G:21_25
+ST398NM01_1231	10735	x	L G:23,24
+ST398NM01_2226	10301	x	L G:24,356
+ST398NM01_2740	8298	x	L G:24
+ST398NM01_2830	5628	x	L G:15,16,18_25
+ST398NM01_2835	3781	x	L G:15_25,93_96,98_102,112,116_118,195_197
+ST398NM01_2843	8150	x	L G:15_25
+ST398NM01_2846	4808	x	L G:15_25
+ST398NM01_2849	15022	x	L G:15,16,18_22,24,25
+ST398NM01_2852	12014	x	L G:15,16,18_25
+ST398NM01_2863	9328	x	L G:24,80,246
+ST398NM01_2864	4065	x	L G:15_24
+ST398NM01_2870	8135	x	L G:24
+ST398NM01_2877	14031	x	L G:15,16,18_25
+ST398NM01_2886	14794	x	L G:15,16,18_25
+ST398NM01_2889	11219	x	L G:21_25
+ST398NM01_2893	13044	x	L G:24
+ST398NM01_2898	12281	x	L G:23,24
+ST398NM01_2903	4899	x	L G:15_25
+ST398NM01_2906	3159	x	L G:15_25
+ST398NM01_2965	6512	x	L G:15_25
+ST398NM01_2970	14661	x	L G:15_25
+ST398NM01_2971	2394	x	L G:24,48,73,356
+ST398NM01_2973	9416	x	L G:15_25
+ST398NM01_2975	14080	x	L G:15_25,83,84
+ST398NM01_2984	13446	x	L G:16,22,24
+ST398NM01_2988	10276	x	L G:24,25
+ST398NM01_2995	6161	x	L G:15_25
+ST398NM01_2999	11775	x	L G:15_25,78
+ST398NM01_3007	13002	x	L G:15_25
+ST398NM01_3013	12585	x	L G:8_25,69_82
+ST398NM01_3018	7402	x	L G:15_25
+ST398NM02_0150	11785	x	L G:25
+ST398NM02_2981	38:35	x	L G:4,6,10,11,13_16,18_25
+ST398NM02_3016	11410	x	L G:25
+ST398NM02_3040	6815	x	L G:15_25
+ST398NM02_3044	15539	x	L G:15,16,18_21,23_25
+ST398NM02_3095	15798	x	L G:25,134
+ST398NM02_3097	7190	x	L G:25,134
+ST398NM02_3132	4963	x	L G:25
+SUQ_02478	8452	x	L G:153,154,158
+SUQ_02479	10185	x	L G:153,154,158
+SUU_02690	12592	x	L G:153
+SUY_01095	7185	x	L G:126,153,154
+SW1_00154	5121	x	L G:4,54,79,114,166,213,229
+SW1_00155	10653	x	L G:4,54,79,114,166,213,229
+SW1_00156	6997	x	L G:4,54,79,114,166,213,229
+SW1_00157	2426	x	L G:4,54,79,114,166,229
+SW1_00158	15141	x	L G:166
+SW1_00160	8884	x	L G:166
+SW1_00162	5565	x	L G:4,54,79,114,166,213,229
+SW1_00163	6357	x	L G:4,54,79,114,166,213,229
+SW1_00165	8113:1	x	L G:4,54,79,114,166,213,229
+SW1_00166	6748	x	L G:4,54,79,114,166,213,229
+SW1_00167	8154:1	x	L G:4,54,79,114,166,213,229
+SW1_00168	4841	x	L G:4,54,79,114,166,213,229
+SW1_00169	5987	x	L G:16,166
+SW1_00365	11486	x	L G:166
+SW1_00366	5919	x	L G:166
+SW1_00845	11094	x	L G:166
+SW1_01013	13655	x	L G:166
+SW1_01908	10167	x	L G:166
+SW1_02227	11458	x	L G:166,176
+SW1_02397	11409	x	L G:166
+SW1_02398	13445	x	L G:166
+SW5_00022	15041	x	L G:151
+SW5_00095	14912	x	L G:151,152
+SW7_01769	11517	x	L G:159
+SW7_01770	11168	x	L G:159
+SW7_01916	11345	x	L G:159
+SW7_02733	13840	x	L G:0,159
+SW7_02735	15897	x	L G:159,389
+SW9_00328	7233	x	L G:143_154,156_160
+SW9_00526	12093	x	L G:110,131,148,162,213
+SW9_01481	11666	x	L G:143_160
+SW9_01632	10354	x	L G:148
+SW9_01637	12904	x	L G:148
+SWE_00458	10103	x	L G:378
+SWG_00264	6988	x	L G:48,73,80,91,92,109,119_135,150,165,173,174,199,211,224,234,345_354,373,408
+SWG_00289	13525	x	G L:0_68,70,73_78,81,83_96,98_212,311,385_388
+SWG_00304	7939	xis	L G:75,114,119_121,130,133,135,170,173,200,209,220_222,226,227,231,234,240,246,248,249,258_262,264,270,273,274,276,277,279_296,299,300,302_314,316_319,323_355,357_368,370_378,380_394,396_424,426_460
+SWG_00314	1379	x	G L:0_4,6,7,13,16,18_24,26_45,47_68,70_77,81_97,99_102,104_111,116_137,139_142,164_167,169_172,175,196_206,208,211,213,215_219,226,229,231_233,236,238,242_244,263,278,363,379,453
+SWG_00320	5057	x	G L:0_7,9,12_27,29_44,46,47,49_52,56_74,78,80_84,89_96,98_111,113,116_137,139,140,143_159,161_163,165_175,184,192,195_197,207,208,210_213,215_225,228_230,232,235_239,241,243,245,247,250_257,263,265,267_269,271_275,278,282,297,298,301,315,320_322,356,361_363,369,379,395,425,453,454
+SWG_00324	3953	x	L G:8,10,11,109,138,200,209,214,231,240,246,248,249,258_262,264,266,270,276,277,279_281,283_296,299,300,302,304_314,317_319,323,325_330,332_355,357_360,364_378,380_388,394,397,399_401,403,404,406,407,409_415,419,421_424,427_431,434,435,438,439,441_453,456_460
+SWG_00328	5196	x	L G:4,5,11,15,17,27,64,75,79,82,86,138,214,227,246,248,249,258_262,264,266,270,276,279_281,283_296,299,300,302_314,316_319,323_355,357_360,364_378,380_394,396_424,426_452,454_460
+SWG_00333	3139	x	L G:26,28,72,81,86,91,92,113,115,135,137,171,172,240,246,248,249,258_260,262,264,266,270,274,276,279_281,283_296,300,302_314,316_319,323_355,357_360,364_370,372_378,380_394,396_424,426_452,454_460
+SWG_00336	5273	x	L G:9,85,224,246,248,259_262,264_270,274,276,279_281,283_296,299,300,302_314,316_319,323_355,357_360,364_370,372_378,380_394,396_424,426_438,440_452,454_460
+SWG_00339	478	x	L G:9,10,113_115,224,246,248,258_260,262,264,266,270,274,276,279,281,283,284,286_296,300,302,305_314,316_319,323_355,357_360,364_370,372_378,380_382,384_394,396_410,412,415_424,426_452,454_460
+SWG_00340	9760	x	L G:246,248,258_260,262,264,266,270,274,276,279,281,283_290,292_296,300,302_314,316_319,323_328,330_347,349_352,354,355,357_360,364_368,370,372_376,378,379,381_391,393,394,396_402,404_410,412,416_424,426_439,441,443,444,446_460
+SWG_00342	1056	x	L G:11,59,65,78,116,138,172,214,226,227,236,242_244,246,248,249,258_262,264,266,270,274,276,279_281,283_296,300,302_314,316_319,323_347,349_355,357_360,364_370,372_378,380_394,396_424,426_460
+SWG_00343	1292	x	L G:11,59,65,78,138,172,214,227,242_244,248,249,258_262,264,266,270,274,276,279_281,283_296,299,300,302_314,316_319,323_347,349_355,357_360,364_368,370,372_376,378,380_394,396_424,426_460
+SWG_00368	4456	xhlB_1	L G:21,97,112_115,138,169,176,200,207,209,227_229,231,234,238,240,246_249,258_262,264,266,270,272_274,276,277,279_281,283_296,299,300,302_314,316_319,323,324,326_355,357_370,372_378,380_394,396_424,426_454,456_460
+SWG_00369	7	x	L G:21,97,112_115,138,169,176,200,207,209,227_229,231,238,240,246_249,258_262,264,266,270,272_274,276,277,279_281,283_296,299,300,302_314,316_319,323_355,357_370,372_378,380_394,396_424,426_454,456_460
+SWG_00370	5441	ear	L G:21,112_115,138,169,200,227,229,231,234,238,240,246_249,258_262,264,270,274,276,277,279_281,283_296,299,300,302_314,316_319,323_355,357_360,364_370,372_378,380_394,396_424,426_454,456_460
+SWG_00372	11599	x	L G:8,21,26,48,52,58_61,63,65,72_77,80,87,98,99,112_115,122,123,138,145,146,159,160,165,169,173,174,227_230,232,240,242_244,246_248,252_256,258_262,264,266,270,273,274,276,277,279_281,283_296,299,302_307,310_314,317_319,323,325_331,333_355,357_370,372_378,380,381,383,385_394,396_424,427_460
+SWG_00530	515:1	x	G L:0_92,94_96,99_102,106_108,112,114,118_194,196,197,210_213,226,228,231,236_239,241,242,246,250,257,259,265,266,282,321,328,334,346,356,363,368,372,377,383,385,389,391,397,402,404,408,410,441,447,460
+SWG_00608	3683	x	G L:0_96,98_173,175_212,226_228,232,237,259,280,289,292,297,328,374,378,381,402,417
+SWG_00613	6167	x	G L:0_111,116_197,207_212,291,314,346,422,424
+SWG_00643	15479	x	L G:29,39,53_55,89,97,109,119_122,126,129,131_133,213,224,226,227,238,240,248,260_262,329_335,355,357,360,366,371_373
+SWG_00701	6432	smf	L G:245_360,364_368,370_376,378_460
+SWG_00769	10127	x	G L:0_99,102_127,129_174,176_182,185_190,194_212,240,241,391
+SWG_00830	3078	x	G L:0_68,70_77,79_86,90_92,96_99,102,112,116_206,208_212
+SWG_00936	8148	x	G L:0_68,70_99,103_206,210_212,366,367
+SWG_00985	5918	x	L G:5,31,101,164,239,245_247,259,262_264,277_279,281,282,289_295,297,300,301,303_354,357,360_363,370_374,376,379_381,384,395,426,458,459
+SWG_00990	4037	x	L G:5,26,31,47,50,53_55,164,169,227,245,262_264,266,290,295,367,372,373,376,379,380
+SWG_00991	6434	x	L G:5,31,47,164,245,262_264,266,295,367,372,373,376,379,380
+SWG_00992	3613	x	L G:5,31,47,164,245,262_264,266,290,295,367,372,373,376,379,380
+SWG_00993	6730	x	L G:5,15,26,31,47,50,164,169,227,245,262_268,290,295,367,372,373,376,379,380
+SWG_00994	8387	x	L G:5,15,26,31,47,50,164,169,227,245,262_269,290,295,367,372,373,376,379,380
+SWG_00995	5808	x	L G:5,15,26,31,47,50,164,169,226,227,245,262_269,290,295,367,372,373,376,379,380
+SWG_01021	3060	spcT	G L:0_2,4_25,69_78,80_91,93_96,98,99,102_115,119_194,198_206,210_212
+SWG_01027	12719	x	G L:0_96,98_194,198_212,379
+SWG_01112	3333	entA	G L:0_25,52,70_77,79_111,119_136,138_206,208,209
+SWG_01303	14396	x	G L:0_99,101_212,245
+SWG_01304	605	tnp	G L:0_99,102_212,228
+SWG_01305	8651	hsdS	G L:0_99,102_212
+SWG_01312	1357	x	G L:0_77,79,83_96,98_112,116_208,213,386
+SWG_01314	1055	x	G L:0_2,8_68,73_78,83_91,93_96,100,101,103_111,113_115,119_194,386
+SWG_01315	975	x	G L:0_2,8_68,73_78,83_91,93_96,100,101,103_111,119_194,386
+SWG_01318	15990	x	G L:0_3,5_207,210_212,228,386
+SWG_01326	3905	entB	G L:0_85,87_212,386
+SWG_01352	10737	x	G L:0_96,98_207,210_212,230,231
+SWG_01374	2975	x	G L:0_96,98_212
+SWG_01468	6798	x	L G:46,71,72,214,220_225,234,235,239,241,245_259,265_277,283_293,295_301,303_317,319_356,358_362,364_366,368,370_373,375_378,380_388,390_452,455_460
+SWG_01486	15924	x	L G:5_12,14,46,98,112_115,161,173,174,209,212,214,223_225,234,235,239,241,245_255,257_259,265_277,279,282_293,295_301,303_313,315_317,319_329,331_356,358_362,364_366,368,370_373,375_378,380_388,390_452,455_460
+SWG_01488	7629	x	L G:6_12,46,71,72,86,98,112_115,168,173,174,212,214,223_225,228,233_235,239,241,245_259,265_279,282_293,295_301,303_317,319_362,364_366,368_378,380_388,390_452,455_460
+SWG_01498	3038	x	L G:5,15,17,46,71,72,223,234,235,241,258,265_273,275_277,357_362,364_366,368,369,371_373
+SWG_01499	4988	x	L G:5,15,17,46,71,72,223,234,235,241,258,265_273,275_277,357_362,364_366,368,369,371_373
+SWG_01514	5903	agrD	G L:0_97,100_194,208_212,243,263
+SWG_01640	5055	x	L G:120,213,370_373
+SWG_01677	9977	x	G L:0_212,228
+SWG_01678	680	x	G L:0_212,275,295,359,391
+SWG_01679	5457	x	G L:0_212,226,228,229,236,238_240
+SWG_01680	3852	x	G L:0_213,226_229,236,238_240,346,356,359
+SWG_01681	6465	truncated-SA	G L:0_115,117_212,227,228
+SWG_01682	4732	x	G L:0_212,230,240,246,359,360,379,380
+SWG_01724	7262	x	G L:0_69,71_91,93_101,109,112_206,210_212,214
+SWG_01877	15444	x	G L:0_101,108,112,116_194,207_212
+SWG_01941	15258	x	G L:0_3,8_77,79_86,92,95,100_111,124,125,208,209,252,425
+SWG_01943	8407	x	L G:27,370,371,373
+SWG_01984	11899	x	L G:370_373
+SWG_02052	12395	x	G L:0_212,233,235
+SWG_02058	2923	x	G L:0_69,71,72,78,83,84,92_197,208_212
+SWG_02090	10863	x	G L:0_68,70_97,101_197,208_212,285,356
+SWG_02207	121	x	L G:372,373
+SWG_02209	4288	gyrB	G L:0_7,10_55,69_118,130,136_164,166_173,176_219,226_244,275,356,384
+SWG_02210	8036	gyrA	G L:0_7,10_55,69_118,130,136_164,166_173,176_219,226_244,275,356,384
+SWG_02220	3442	radC	G L:0_7,10_55,69_119,122,124_126,129,130,133,136_174,176_219,225_244,275,276,279,285,356_358,363,374,377,384,389,417,426,443
+SWG_02223	5542	x	G L:0_7,10_55,69_164,166_174,176_219,226_244,275,279,356,384
+SWG_02230	2401	tnp	G L:3_7,10_25,28_38,40_55,69_73,78,80_91,93_116,118_143,148,157,161,162,166_174,176_212,214_219,227_244,272,275,279,292,356,384
+SWG_02231	6150	tnp	G L:0,2_7,10_38,40_55,69_164,166_174,176_219,226_244,275,279,356,384
+SWG_02238	6979	kdpC_1	L G:8,9,165,175,220_222,224,225,245,247_257,276_278,280_297,299_322,324_355,357_363,365_377,379_383,385_393,395_460
+SWG_02241	14933	x	G L:0_7,10_55,69_164,166_174,176_219,226_244,279,356,384
+SWG_02255	9446	x	L G:72,370_373,417
+SWG_02256	4434	x	L G:370_373
+SWG_02354	2446	x	G L:0_77,79_99,102,109,112_115,119_206,208_212
+SWG_02355	5338	x	G L:0_77,79_99,102_115,119_206,208_212
+SWG_02356	5170	x	G L:0_77,79_99,102,112_115,119_206,208_212
+SWG_02357	6811	x	G L:0_77,79_99,102,110,112_115,119_206,208_212,228,250,251,319
+SWG_02358	8021	x	G L:0_77,79_102,112_115,119_206,208_212,234
+SWG_02359	3571	x	G L:0_77,79_99,102,112_115,119_206,208_212
+SWG_02360	4155	x	G L:0_77,79_99,102,110,112_115,119_206,208_212,400
+SWG_02361	5497	x	G L:0_77,79_99,101,102,112_115,119_206,208_212,226
+SWG_02362	7636	x	G L:0_77,79_99,102,112_115,119_206,208_212
+SWG_02363	6216	x	G L:0_77,79_99,102,112_115,119_212
+SWG_02370	7770	x	L G:370_373
+SWG_02533	8809	x	G L:0_212
+SWG_02550	11696	x	G L:0_86,92_212,316
+SWG_02574	9087	lpl5	G L:0_212,228
+SWG_02575	1015:2	lpl6	G L:0_80,83_102,109,110,113_206,210_212,226,228,232,238,245,276,286,293,307,317,358,379,381,384
+SWG_02650	1497	cadD	G L:2,3,6,14_21,25_39,43_68,70_72,74,76_79,81_96,102,106,113,116,117,119_142,155,166,167,169_173,175_177,182,183,187,190,191,194,197,198,200,202,205_207,214_222,229,233,234,263,265_273,276,279,280,285,289,290,294,304,308_310,357_364,368,371,374,379,384,389,399,408,414_416,421_425,432,433,454
+SWG_02651	1124	x	L G:4_6,13,30_38,71,90,97,112,114,117_123,130,132,133,137,143_145,147_150,155,158,160,162_164,168,171,214_219,228,231,232,234_236,238,241_261,275,277,281,282,286_288,291_293,295_303,305_307,355,356,365,370,372,373,375_378,380,382,383,385_388,390_407,409_413,417_420,431,434,435,437_453,455
+SWG_02656	9510	x	L G:161,163,164,168,231,232,235,236,238,241_261,275,277,281,282,286_288,291_293,295_303,305_307,355,356,365,370,372,373,375_378,380_383,385_388,390_407,409_413,417_420,431,434,435,437_453,455
+SWG_02658	8433	x	L G:13,161,163,164,231,232,235,236,238,241_261,275,277,281,282,286_288,291_293,295_303,305_307,355,356,365,370,372,373,375_378,380_383,385_388,390_407,409_413,417_420,431,434,435,437_453,455
+SWG_02659	4646	x	L G:13,161,163,164,231,232,235,236,238,241_261,275,277,281,282,286_288,291_293,295_303,305_307,355,356,365,370,372,373,375_378,380_383,385_388,390_407,409_413,417_420,431,434,435,437_453,455
+SWG_02660	1902	x	L G:13,161,163,164,231,232,235,236,238,241_261,275,277,281,282,286_288,291_293,295_303,305_307,355,356,365,370,372,373,375_378,380_383,385_388,390_407,409_413,417_420,431,434,435,438_453,455
+SWG_02661	8289	x	L G:232,238,242_246,248,260,261,277,287,297,365,370,372,373,377,391,392,396_398,404,439,446,447
+SWG_02662	4918	x	L G:232,238,242_246,248,260,261,277,287,297,365,370,372,373,377,391,392,396_398,404,439,446,447
+SWG_02663	2868	x	L G:13,161,163,164,231,232,235,236,238,241_243,245_261,275,277,281,282,286_288,291_293,295_303,305_307,355,356,365,370,372,373,375_378,380_383,385_388,390_407,409_413,417_420,431,434,435,437_453,455
+SWG_02664	5219	entA	L G:13,161,163,164,230_232,235,236,238,241_261,275,277,281,282,286_288,291_293,295_303,305_307,355,356,365,370,372,373,375_378,380_383,385_388,390_396,398_406,409_413,417_420,431,434,435,437_453,455
+SWG_02665	2251	entG	L G:13,161,163,164,230_232,236,238,241_261,275,277,281,282,286_288,291_293,295_303,305_307,355,356,365,370,372,373,375_378,380_383,385_388,390_407,409_413,417_420,431,434,435,437_453,455
+SWG_02666	738	x	L G:8_13,71,73,78,80,85,90,117,143_154,156_161,163,164,213,223_227,230_232,235_264,274,275,277,278,281_284,286_288,290_293,295_303,305_307,311_356,365_367,369,370,372,373,375_378,381_383,385_388,390_407,409_413,417_420,426_431,434_453,455_460
+SWG_02667	5370	x	L G:8_13,71,73,78,80,85,90,117,143_154,156_161,163,164,213,223_227,230,232,235_264,274,275,277,278,281_284,286_288,290_293,295_303,305_307,311_356,365_367,369,370,372,373,375_378,380_383,385_388,390_407,409_413,417_420,426_431,434_453,455_460
+SWG_02673	3483	x	L G:4,5,13,40_42,97_99,163_165,168,210,231,232,235,236,238,241_261,275,277,281,282,286_288,291_293,295_303,305_307,355,356,365,370,372,373,375_378,380_383,385_388,390_407,409_413,417_420,431,434,435,437_453,455
+SWG_02674	1774	x	L G:42,231,232,235,236,238,241_261,275,277,281,282,286_288,291_293,295_303,305_307,355,356,365,370,372,373,375,376,378,380_383,385_388,390_407,409_413,417_420,431,434,435,437_453,455
+SWG_02677	2955	repB	G L:0_7,10_55,66,69_87,90_123,126_136,138_168,170_174,176_181,183,195_211,213_219,226_239,241_246,259,270,283_285,291,356,366,367,384_388,418,419,438
+SWG_02678	7003	repB	G L:0_7,10_55,66,69_87,90_123,126_136,138_164,166_168,170_174,176_181,183,195_211,213_219,226_239,241_246,259,270,283_285,291,356,366,367,384_388,398,418,419,431,432,438
+SWI_01097	4765	x	L G:316
+SWI_01098	4881	x	L G:7,316
+SWM_01001	946:4	x	L G:300
+SWQ_00047	3919	x	L G:344
+SWQ_02543	6333	x	L G:344
+SWS_01602	12134	x	L G:333
+SWS_01626	7151	x	L G:333
+SWU_00044	5955	x	L G:399
+SWU_00649	682	x	L G:285,287,396,398,399,401,405,406
+SWU_01213	14489	x	L G:288,399_401
+SWU_01681	5342	x	L G:248,366,399
+SWU_01683	12484	x	L G:399
+SWU_02161	15678	x	L G:399
+SWU_02162	8482	x	L G:119_121,225,399
+SWU_02570	4387	x	L G:399
+SWU_02644	6350	x	L G:286_288,377,380,396_406,437
+SWY_01429	12375	x	L G:331
+SY5_01202	12092	x	L G:266
+SY5_01203	1057	x	L G:266
+SY5_02064	15280	x	L G:266
+SY5_02081	14406	x	L G:266
+SY7_01174	11177	x	L G:208,209
+SY7_01191	8529	x	L G:208
+SY7_01335	10064	x	L G:208
+SY7_01342	8367	x	L G:208
+SY7_01360	6706	x	L G:208
+SY7_01362	10013	x	L G:208
+SY7_01371	7714	x	L G:208
+SY7_01515	8479	x	L G:208,209
+SY7_01516	13253	x	L G:208,209
+SY7_01808	3142	x	L G:208,209
+SY7_01840	13218	x	L G:208,209
+SY7_02072	884	x	L G:100,101,208,209
+SY7_02096	12436	x	L G:208
+SY7_02413	15086	x	L G:208,209
+SY9_01484	8692	x	L G:110,302
+SYE_02503	14416	x	L G:346,348_354
+SYG_00473	5059	x	L G:99,119,120,142,228,304_307,377
+SYG_02184	13811	x	L G:29,304
+SYI_01176	9179	x	L G:265
+SYI_01449	5863	x	L G:265,266,446,447
+SYI_01607	4820	x	L G:7,113,114,265,383,384
+SYI_01608	5749	x	L G:7,113,114,265,383,384
+SYI_01609	13317	x	L G:113,114,265,383,384
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+Y003_01690	13057	x	L G:109
+Y003_01695	14597	x	L G:49,109
+Y003_03940	1164:2	x	L G:109,200
+Y003_04065	3104	x	L G:105,109
+Y003_04070	5541	x	L G:109
+Y003_04785	3290	x	L G:109
+Y003_04790	12147	x	L G:109,110
+Y003_05075	13905	x	L G:109,110
+Y003_05115	14942	x	L G:109
+Y003_05265	8564	x	L G:109
+Y003_05270	10282	x	L G:109
+Y003_05315	5295	x	L G:109
+Y003_05370	5366:1	x	L G:109,110
+Y003_05455	7353	x	L G:89,109,131
+Y003_05995	10812	x	L G:89,109,110
+Y003_06040	11070	x	L G:109,110
+Y003_06180	3883	x	L G:69,109,110,211
+Y003_06310	10667	x	L G:109,110
+Y003_06330	14289	x	L G:109
+Y003_06475	6321	x	L G:109
+Y003_06495	11428	x	L G:109
+Y003_06765	2827	x	L G:109
+Y003_06785	14765	x	L G:109,110
+Y003_06795	11382	x	L G:109
+Y003_06905	1454	x	L G:109
+Y003_06930	13042	x	L G:53,109,232
+Y003_06950	12972	x	L G:109
+Y003_06960	4372:3	x	L G:109
+Y003_07120	15726	x	L G:109
+Y003_08465	8803	x	L G:93_96,98,99,103_111,208,209
+Y003_08475	9233	x	L G:109,110
+Y003_08550	4221	x	L G:104,105,109_111
+Y003_08570	12437	x	L G:80,109,110
+Y003_08820	14098	x	L G:109
+Y003_09035	38:38	x	L G:109,119
+Y003_09070	7341	x	L G:109,110
+Y003_09505	13465	x	L G:73,109
+Y003_09620	4147	x	L G:109,143,146
+Y003_09625	5107	x	L G:1,40,109,143,144,146,245
+Y003_09930	13466	x	L G:109
+Y003_10365	10129	x	L G:109,110
+Y003_11440	8778	x	L G:109,110,117,144
+Y003_11460	9205	x	L G:105,109
+Y003_11490	7671	x	L G:109,110
+Y003_12220	12534	x	L G:109,110
+Y003_12240	14944	x	L G:109
+Y003_12305	14753	x	L G:109
+Y003_13100	10680	x	L G:109
+Y003_13105	5366:2	x	L G:109
+Y003_13115	11640	x	L G:109
+Y003_14235	15131	x	L G:109
+pKKS627_p1	8380	repU	L G:16,228,234
+pKKS627_p3	5855:1	tet(L)	L G:15,16,46
+pKKS825_p1	8187	pre/mob	L G:15,16
+pKKS825_p10	15475	x	L G:16
+pKKS825_p2	7873	rep	L G:15,16
+pKKS825_p5	5855:2	tet(L)	L G:16
+pKKS825_p7	12001	mob	L G:16
+pKKS825_p8	10472	rep	L G:16
+pKKS825_p9	8196	vga(C)	L G:16
+x	10124:1	x	L G:353
+x	1015:3	x	L G:119
+x	1027:2	x	L G:75
+x	1027:3	x	L G:176
+x	10444:1	x	L G:83
+x	10746:1	x	L G:61,65
+x	1081:2	x	L G:121
+x	1085:3	x	L G:176
+x	10922:2	x	L G:198
+x	10940:3	x	L G:7
+x	11099:2	x	L G:83
+x	11738:2	x	L G:7
+x	11778:1	x	L G:51
+x	11778:3	x	L G:51
+x	12037:1	x	L G:293
+x	13067:3	x	L G:263
+x	1393:2	x	L G:137
+x	14094:2	x	L G:78
+x	14094:3	x	L G:78
+x	14348:1	x	L G:246
+x	14570:3	x	L G:70
+x	1482:8	x	L G:133
+x	1508:2	x	L G:99
+x	15421	x	G L:0_2,4_8,10_14,16,17,22,25_68,70_73,75,79,80,85_88,92,93,95_103,108,112,114_117,119_122,125,126,128_131,135,138,142,143,146,161,162,164,165,167,168,171_173,176,177,195,196,198,200_205,207,209,211,213,214,226_228,231_234,236,238,241,242,244,245,248,257,259,261,263,276,280,282,285,289,290,298,320,322,343,356_358,363,377,379,410,417,426,441,455,456,460
+x	15597:2	x	L G:98
+x	15597:3	x	L G:84
+x	15597:4	x	L G:114
+x	15610:3	x	L G:126
+x	1572:2	x	L G:89,119
+x	15739:2	x	L G:257
+x	15953:1	x	L G:65
+x	16086	x	L G:114,161,162,293
+x	16087	x	L G:41,50
+x	16088	x	L G:99
+x	16089	x	L G:109,110
+x	16090	x	L G:289
+x	16091	x	L G:289
+x	16092	x	L G:85
+x	16093	x	L G:82,232
+x	1628:2	x	L G:73,78
+x	1910:2	x	L G:198
+x	1931:4	x	L G:70
+x	2099:4	x	L G:213
+x	2589:2	x	L G:377
+x	2621:2	x	L G:134
+x	2684:2	x	L G:28,30,50
+x	2684:3	x	L G:67
+x	278:11	x	L G:355
+x	278:12	x	L G:48
+x	278:18	x	L G:72
+x	278:7	x	L G:70
+x	278:9	x	L G:99
+x	3147:2	x	L G:454
+x	3195:2	x	L G:89
+x	3212:2	x	L G:198
+x	3326:3	x	L G:170
+x	3326:4	x	L G:170
+x	3326:6	x	L G:200
+x	3382:4	x	L G:39,123
+x	3382:5	x	L G:123
+x	3382:8	x	L G:123
+x	3511:10	x	L G:78
+x	3511:13	x	L G:78
+x	3511:5	x	L G:78
+x	3533:2	x	L G:116
+x	353:2	x	L G:72
+x	3697:3	x	L G:225
+x	38:10	x	L G:199,201,203,204,211
+x	38:12	x	L G:100,106,207,215_225,235,364,455
+x	38:15	x	L G:239,281,306,307,375,383,394,405,407,419,428,429,431,433,437,453
+x	38:17	x	L G:111,237
+x	38:18	x	L G:182
+x	38:20	x	L G:87_91,116
+x	38:22	x	L G:74_77
+x	38:26	x	L G:198_201,203_206
+x	38:27	x	L G:69
+x	38:30	x	L G:165
+x	38:36	x	L G:59
+x	38:37	x	L G:7,13
+x	38:42	x	L G:182
+x	38:43	x	L G:70
+x	38:45	x	L G:212
+x	38:51	x	L G:454
+x	38:52	x	L G:83
+x	38:53	x	L G:128,166
+x	38:55	x	L G:116
+x	38:58	x	L G:15
+x	38:59	x	L G:274
+x	38:60	x	L G:190
+x	38:63	x	L G:110
+x	38:64	x	L G:113,114
+x	38:66	x	L G:402
+x	38:68	x	L G:369
+x	38:71	x	L G:66
+x	38:72	x	L G:197
+x	38:74	x	L G:207
+x	38:8	x	L G:411
+x	3993:2	x	L G:113
+x	425:3	x	L G:173
+x	425:5	x	L G:167
+x	4493:2	x	L G:7
+x	4500:2	x	L G:176
+x	480:4	x	L G:124
+x	5162:2	x	L G:79,80,84
+x	5162:3	x	L G:7
+x	525:3	x	L G:134
+x	592:2	x	L G:99
+x	6189:3	x	L G:134
+x	6550:2	x	L G:381
+x	6607:2	x	L G:200,258
+x	6607:3	x	L G:200
+x	7238:2	x	L G:69
+x	73:11	x	L G:31
+x	73:2	x	L G:55
+x	73:3	x	L G:29
+x	73:4	x	L G:31
+x	73:7	x	L G:37
+x	7738:1	x	L G:83
+x	7762:1	x	L G:7
+x	7762:3	x	L G:7
+x	8048:1	x	L G:28,30,34,42,45,46,48,50,51,54_68,122_124,127,129,131_135
+x	8048:2	x	L G:128
+x	8351:2	x	L G:343
+x	8351:3	x	L G:343
+x	8559:2	x	L G:297,321,414
+x	8944:1	x	L G:237
+x	8944:3	x	L G:120
+x	9305:1	x	L G:169
+x	9305:4	x	L G:170
+x	9305:5	x	L G:170
+x	9412:2	x	L G:81,82,102
+x	9856:2	x	L G:202
+x	9856:3	x	L G:412
diff --git a/datasets/sau461/input/point_mutations.txt b/datasets/sau461/input/point_mutations.txt
new file mode 100644
index 0000000..250ef08
--- /dev/null
+++ b/datasets/sau461/input/point_mutations.txt
@@ -0,0 +1,99988 @@
+M0881 aureus_IS-K aureus_IS-250 aureus_MSHR1132 aureus_21252 aureus_CIG290 aureus_21202 aureus_PS187 M1311 CA-347 A9635 M0877 aureus_CIG1524 aureus_21200 aureus_21194 S130 aureus_ST398 aureus_M140olga S1 S123 08BA02176 S100 aureus_21331 S94 aureus_71193 aureus_DR10 aureus_C427 aureus_21342 aureus_C160 aureus_552053 aureus_58-424 aureus_65-1322 aureus_C101 aureus_M1015 aureus_M809 aureus_M876 aureus_M899 aureus_68-397 aureus_E1410 M2 aureus_WBG10049 aureus_122051 aureus_TCH60 aureus_LCT-S [...]
+>H059_67565	12774	x
+24	n	K E:390;?:0_3,6,7,69_77,81,82,87_91,136,137,365,414
+29	n	I L:83,84;?:0_3,6,7,69_77,81,82,87_91,136,137,365,414
+31	n	G S:29_68,93_96,103_112,119_135;N:102,208,209;?:0_3,6,7,69_77,81,82,87_91,136,137,365,414;D:15,97,195_207
+39	n	L ?:0_3,6,7,69_77,81,82,87_91,136,137,365,414;F:79,80
+40	n	T A:16_25;I:78,83,84;?:0_3,6,7,69_77,81,82,87_91,136,137,365,414
+41	n	N K:26_28,85,86;?:0_3,6,7,69_77,81,82,87_91,136,137,365,414
+42	n	R S:16_28,78_80,83_86,112;?:0_3,6,7,69_77,81,82,87_91,136,137,365,414
+43	n	L ?:0_3,6,7,69_77,81,82,87_91,136,137,365,414;F:92,138_194
+44	n	Q K:8_14;?:0_3,6,7,69_77,81,82,87_91,136,137,365,414
+45	n	R C:26_28,85,86;?:0_3,6,7,69_77,81,82,87_91,136,137,365,414
+46	n	P S:26_28,85,86;?:0_3,6,7,69_77,81,82,87_91,136,137,365,414
+47	n	K Q:29_34,37_68,119_135;?:0_3,6,7,69_77,81,82,87_91,136,137,365,414
+49	n	P T:83,84;?:0_3,6,7,69_77,81,82,87_91,136,137,365,414
+52	n	E Q:80;K:163;?:0_3,6,7,69_77,81,82,87_91,136,137,365,414
+53	n	A S:29_68,119_135;?:0_3,6,7,69_77,81,82,87_91,136,137,365,414;V:79,80,83,84,112
+54	n	L ?:0_3,6,7,69_77,81,82,87_91,136,137,365,414;F:79,80,83,84
+55	n	T P:78,80,83,84;S:4,5,8_14;?:0_3,6,7,69_77,81,82,87_91,136,137,365,414
+56	n	V A:4,5,8_14,29_68,79,80,83,84,119_135;T:26_28,85,86;?:0_3,6,7,69_77,81,82,87_91,136,137,365,414
+59	n	Y H:4,5,8_14,26_68,78_80,83_86,93_96,103_111,119_135;?:0_3,6,7,69_77,81,82,87_91,136,137,365,414
+60	n	H R:26_28,85,86;?:0_3,6,7,69_77,81,82,87_91,136,137,365,414
+61	n	F L:16_25,83,84;?:0_3,6,7,69_77,81,82,87_91,136,137,365,414
+62	n	Q K:79,83,84,103,394;-:168,223;?:0_3,6,7,69_77,81,82,87_91,136,137,365,414
+69	n	I -:168,223;?:0_3,6,7,69_77,81,82,87_91,136,137,365,414;V:10
+73	n	R K:176;-:168,223;G:163;?:0_3,6,7,69_77,81,82,87_91,136,137,365,414
+74	n	T I:16_25,97,195_206;-:168,223;M:83;?:0_3,6,7,69_77,81,82,87_91,136,137,365,414
+>HMPREF0773_0646	2727	x
+36	n	L S:73,75_77;-:4_7,41,43,44,69,81,102,109,119_121,125,130,167,168,172,207,210_212;?:0_3,15_28,71,72,74,78,85,86,99,112,114,115,195_197
+37	n	S F:8_14;-:4_7,41,43,44,69,81,102,109,119_121,125,130,167,168,172,207,210_212;P:87_91;V:73,75_77;?:0_3,15_28,71,72,74,78,85,86,99,112,114,115,195_197
+38	n	H -:4_7,41,43,44,69,81,102,109,119_121,125,130,167,168,172,207,210_212;?:0_3,15_28,71,72,74,78,85,86,99,112,114,115,195_197;P:73,75_77
+39	n	S -:4_7,41,43,44,69,81,102,109,119_121,125,130,167,168,172,207,210_212;L:73,75_77;?:0_3,15_28,71,72,74,78,85,86,99,112,114,115,195_197
+40	n	H -:4_7,41,43,44,69,81,102,109,119_121,125,130,167,168,172,207,210_212;?:0_3,15_28,71,72,74,78,85,86,99,112,114,115,195_197;P:73,75_77
+41	n	W S:73,75_77;-:4_7,41,43,44,69,81,102,109,119_121,125,130,167,168,172,207,210_212;?:0_3,15_28,71,72,74,78,85,86,99,112,114,115,195_197
+42	n	H -:4_7,41,43,44,69,81,102,109,119_121,125,130,167,168,172,207,210_212;?:0_3,15_28,71,72,74,78,85,86,99,112,114,115,195_197;V:73,75_77
+43	n	L -:4_7,41,43,44,69,81,102,109,119_121,125,130,167,168,172,207,210_212;?:0_3,15_28,71,72,74,78,85,86,99,112,114,115,195_197;F:8_14,73,75_77
+44	n	R C:8_14;-:4_7,41,43,44,69,81,102,109,119_121,125,130,167,168,172,207,210_212;?:0_3,15_28,71,72,74,78,85,86,99,112,114,115,195_197;F:73,75_77
+46	n	L S:8_14;-:4_7,41,43,44,69,81,102,109,119_121,125,130,167,168,172,207,210_212;?:0_3,15_28,71,72,74,78,85,86,99,112,114,115,195_197
+49	n	Q H:70;?:0_3,15_28,71,72,74,78,85,86,99,112,114,115,195_197
+56	n	I -:84;?:0_3,15_28,71,72,74,78,85,86,99,112,114,115,195_197;N:4_14,29_70,73,75_77,79_83,87_92,97,98,100,101,103_111,113,119_194,198_209
+67	n	I -:11,84;T:113;?:0_3,15_28,71,72,74,78,85,86,99,112,114,115,195_197
+69	n	T I:208,209;-:11,84;?:0_3,15_28,71,72,74,78,85,86,99,112,114,115,195_197
+72	n	A -:11,84;?:0_3,15_28,71,72,74,78,85,86,99,112,114,115,195_197;V:113
+73	n	H -:11,84;?:0_3,15_28,71,72,74,78,85,86,99,112,114,115,195_197;P:113
+74	n	R A:113;-:11,84;?:0_3,15_28,71,72,74,78,85,86,99,112,114,115,195_197
+75	n	V C:113;-:11,84;?:0_3,15_28,71,72,74,78,85,86,99,112,114,115,195_197
+78	n	T I:100,101,230;-:11,84,113;?:0_3,15_28,71,72,74,78,85,86,99,112,114,115,195_197
+>HMPREF0773_0960	6846	x
+-22	p	C -:92;T:99;?:0_3,15_68,84,87_89,198_206,226,227
+-13	p	A T:112;?:0_3,15_68,84,87_89,198_206,226,227
+-2	p	T C:78;?:0_3,15_68,84,87_89,198_206,226,227
+3	n	T A:4_14;?:0_3,15_68,84,87_89,198_206,226,227
+6	n	L I:8;?:0_3,15_68,84,87_89,198_206,226,227
+9	n	L H:8,9;?:0_3,15_68,84,87_89,198_206,226,227
+12	n	C ?:0_3,15_68,84,87_89,198_206,226,227;F:169
+13	n	A S:143_160,365;E:241;?:0_3,15_68,84,87_89,198_206,226,227
+14	n	Q P:265_269;K:75_77;?:0_3,15_68,84,87_89,198_206,226,227
+22	n	L P:163;R:69;?:0_3,15_68,84,87_89,198_206,226,227
+32	n	S P:145;?:0_3,15_68,84,87_89,198_206,226,227
+43	n	I M:81_83;?:0_3,15_68,84,87_89,198_206,226,227
+49	n	I ?:0_3,15_68,84,87_89,198_206,226,227;V:100
+53	n	S P:78;?:0_3,15_68,84,87_89,198_206,226,227
+>HMPREF0773_1721	5839	x
+-22	p	T C:84;?:0_68,78,79,81_83,85,87_91,108,111,129,147,167,176,177,243,285,358,428
+6	n	G A:69,70,80,86,207,210_212;-:78,83,85,108,111,129,147,167,176,177,243,285,358;D:71_77;?:0_68,79,81,82,87_91,428
+11	n	T ?:0_68,79,81,82,87_91,428;N:85,86
+18	n	L ?:0_68,79,81,82,87_91,428;F:78,85,86
+24	n	I K:71,72;?:0_68,79,81,82,87_91,428
+26	n	P S:85,86;?:0_68,79,81,82,87_91,428
+27	n	F L:69,83;?:0_68,79,81,82,87_91,428
+30	n	I ?:0_68,79,81,82,87_91,428;N:80
+33	n	W S:80;?:0_68,79,81,82,87_91,428
+40	n	K ?:0_68,79,81,82,87_91,428;N:69,80,83_86,112
+41	n	V F:240;?:0_68,79,81,82,87_91,428
+44	n	Y ?:0_68,79,81,82,87_91,428;F:85,86
+50	n	L H:69;?:0_68,79,81,82,87_91,428
+52	n	I L:69_78,80,83_86;?:0_68,79,81,82,87_91,428
+54	n	S P:99;?:0_68,79,81,82,87_91,428
+61	n	F L:100,101;?:0_68,79,81,82,87_91,428
+62	n	F V:118;?:0_68,79,81,82,87_91,428
+>HMPREF0773_1755	7012	x
+-47	p	A G:70_72;?:0_3,26_69,83,96,108,110_112,121,210_212
+-38	p	C T:85,86;?:0_3,26_69,83,96,108,110_112,121,210_212
+-37	p	A C:73_82,84;?:0_3,26_69,83,96,108,110_112,121,210_212
+-36	p	A G:85,86;?:0_3,26_69,83,96,108,110_112,121,210_212
+-35	p	A T:103_107,109;?:0_3,26_69,83,96,108,110_112,121,210_212
+-32	p	C A:4_14;?:0_3,26_69,83,96,108,110_112,121,210_212
+-29	p	T A:103_107,109;C:15_25;?:0_3,26_69,83,96,108,110_112,121,210_212
+-28	p	A T:15_25;?:0_3,26_69,83,96,108,110_112,121,210_212
+-27	p	T A:87_91,119,120,122_194;?:0_3,26_69,83,96,108,110_112,121,210_212
+-26	p	G A:4_14;?:0_3,26_69,83,96,108,110_112,121,210_212
+-23	p	G A:4_25,85,86;?:0_3,26_69,83,96,108,110_112,121,210_212
+-22	p	C A:103_107,109;?:0_3,26_69,83,96,108,110_112,121,210_212
+-19	p	C T:97_101;?:0_3,26_69,83,96,108,110_112,121,210_212
+-9	p	C A:103_107,109;?:0_3,26_69,83,96,108,110_112,121,210_212
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+19	n	I M:246,283_354,395_406;?:0_3,26,69,83,96,110,121,210_212
+24	n	H Y:4_25,27_68;?:0_3,26,69,83,96,110,121,210_212
+25	n	L P:15_25;?:0_3,26,69,83,96,110,121,210_212
+38	n	I T:301;?:0_3,26,69,83,96,110,121,210_212
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+43	n	L M:87_91;?:0_3,26,69,83,96,110,121,210_212
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+56	n	V -:48;T:82;?:0_3,26,69,83,96,110,121,210_212
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+-36	p	T C:71,72,78;?:0_3
+-35	p	T C:4_91,93_97,100_112,116_209;?:0_3
+-30	p	A T:84;?:0_3
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+-1	p	T C:69,70;?:0_3
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+6	n	S P:27,51,53_55,85;-:46,71,72,223,234,235,241,258,265_277,357_362,364_366,368,369,371_374;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+7	n	F I:46,71,72,223,234,235,241,258,265_277,358_362,364_366,368,369,371_374;-:357;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+9	n	P A:46,71,72,223,234,235,241,258,265_277,358_362,364_366,368,369,371_374;-:357;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+10	n	F I:46,71,72,223,234,235,241,258,265_277,358_362,364_366,368,369,371_374;-:357;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+11	n	T -:357;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454;D:46,71,72,223,234,235,241,258,265_277,358_362,364_366,368,369,371_374
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+13	n	Y -:357;L:46,71,72,223,234,235,241,258,265_277,358_362,364_366,368,369,371_374;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+14	n	I -:357;T:29_38;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454;F:46,71,72,223,234,235,241,258,265_277,358_362,364_366,368,369,371_374
+15	n	Y A:46,71,72,223,234,235,241,258,265_277,358_362,364_366,368,369,371_374;-:357;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+16	n	L I:79,239,245_257,259,283_293,295_300,303_317,319_356,370,375_378,380_388,390_452,455_460;-:357;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+17	n	N H:46,71,72,223,234,235,241,258,265_277,358_362,364_366,368,369,371_374;-:357;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+18	n	N S:46,71,72,223,234,235,241,258,265_277,358_362,364_366,368,369,371_374;-:357;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+20	n	E -:357;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454;N:46,71,72,223,234,235,241,258,265_277,358_362,364_366,368,369,371_374
+22	n	L S:46,71,72,223,234,235,241,258,265_277,358_362,364_366,368,369,371_374;-:357;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+24	n	S Q:46,71,72,223,234,235,241,258,265_277,358_362,364_366,368,369,371_374;-:357;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+25	n	L H:46,71,72,223,234,235,241,258,265_277,358_362,364_366,368,369,371_374;-:357;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+26	n	H R:46,71,72,223,234,235,241,258,265_277,358_362,364_366,368,369,371_374;-:357;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
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+29	n	L -:357;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454;T:46,71,72,223,234,235,241,258,265_277,358_362,364_366,368,369,371_374
+30	n	N V:46,71,72,223,234,235,241,258,265_277,358_362,364_366,368,369,371_374;-:357;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+31	n	G A:46,71,72,223,234,235,241,258,265_277,358_362,364_366,368,369,371_374;-:357;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+32	n	V -:357;T:46,71,72,223,234,235,241,258,265_277,358_362,364_366,368,369,371_374;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+33	n	V -:357;L:46,71,72,223,234,235,241,258,265_277,358_362,364_366,368,369,371_374;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+34	n	I K:46,71,72,223,234,235,241,258,265_277,358_362,364_366,368,369,371_374;-:357;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+35	n	F -:357;W:46,71,72,223,234,235,241,258,265_277,358_362,364_366,368,369,371_374;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+36	n	I C:46,71,72,223,234,235,241,258,265_277,358_362,364_366,368,369,371_374;-:357;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+38	n	S Y:46,71,72,223,234,235,241,258,265_277,357_362,364_366,368,369,371_374;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+39	n	V F:46,71,72,223,234,235,241,258,265_277,357_362,364_366,368,369,371_374;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+41	n	Q W:46,71,72,223,234,235,241,258,265_277,357_362,364_366,368,369,371_374;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+42	n	V K:46,71,72,223,234,235,241,258,265_277,357_360,364_366,368,369,371_374;R:361,362;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+43	n	S C:46,71,72,223,234,235,241,258,265_277,357_362,364_366,368,369,371_374;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+45	n	M S:46,71,72,223,234,235,241,258,265_277,357_362,364_366,368,369,371_374;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
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+48	n	H T:46,71,72,223,234,235,241,258,265_277,357_362,364_366,368,369,371_374;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
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+50	n	L A:46,71,72,223,234,235,241,258,265_277,357_362,364_366,368,369,371_374;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+52	n	M T:79;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454;N:46,71,72,223,234,235,241,258,265_277,357_362,364_366,368,369,371_374
+53	n	K E:46,71,72,223,234,235,241,258,265_277,357_362,364_366,368,369,371_374;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+54	n	R K:46,71,72,223,234,235,241,258,265_277,314,357_362,364_366,368,369,371_374;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+55	n	I ?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454;N:46,71,72,223,234,235,241,258,265_277,357_362,364_366,368,369,371_374
+56	n	H S:46,71,72,223,234,235,241,258,265_277,357_362,364_366,368,369,371_374;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+57	n	Q P:46,71,72,223,234,235,241,258,265_277,357_362,364_366,368,369,371_374;S:29_38;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+58	n	C A:29_38;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454;V:46,71,72,223,234,235,241,258,265_277,357_362,364_366,368,369,371_374
+59	n	Q P:46,71,72,223,234,235,241,258,265_277,357_362,364_366,368,369,371_374;S:29_38;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+60	n	Q A:46,71,72,223,234,235,241,258,265_277,357_362,364_366,368,369,371_374;R:29_38;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+61	n	V G:46,71,72,223,234,235,241,258,265_277,357_362,364_366,368,369,371_374;L:29_38;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+62	n	I Y:29_38,46,71,72,223,234,235,241,258,265_277,357_362,364_366,368,369,371_374;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+63	n	H T:29_38,46,71,72,223,234,235,241,258,265_277,357_362,364_366,368,369,371_374;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+64	n	S R:29_38;L:46,71,72,119_128,131_133,135,223,234,235,241,258,265_277,308,310,316,321,322,327,330_332,357_362,364_366,368,369,371_374;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+65	n	I -:29_38;D:46,71,72,223,234,235,241,258,265_277,357_362,364_366,368,369,371_374;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+66	n	K R:119_128,131_133,135,308,310,316,321,322,327,330_332;-:29_38;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+67	n	T I:27,51,53_55,85,119_128,131_133,135,308,310,316,321,322,327,330_332;-:29_38;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454;N:46,71,72,223,234,235,241,258,265_277,357_362,364_366,368,369,371_374
+68	n	M -:29_38;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454;N:46,71,72,223,234,235,241,258,265_277,357_362,364_366,368,369,371_374
+69	n	Y C:119_128,131_133,135,308,310,316,321,322,327,330_332;D:46,71,72,223,234,235,241,258,265_277,357_362,364_366,368,369,371_374;-:29_38;T:79;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+70	n	R -:29_38;L:119_128,131_133,135,308,310,316,321,322,327,330_332;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454;V:79
+73	n	K R:245;-:29_38,79;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+74	n	R -:29_38,79;D:245;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+75	n	L W:245;-:29_38,79;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+76	n	V -:29_38,79;L:245;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+77	n	I -:29_38,79;L:245;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+78	n	T H:245;-:29_38,79;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+79	n	Q S:245;-:29_38,79;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+80	n	L C:245;-:29_38,79;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+81	n	P Q:245;-:29_38,79;L:86_89,210,226,227;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+82	n	M -:29_38,79;C:245;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+85	n	V I:26,117,118;-:29_38,79,245;?:0_2,4,6,7,13,15_25,43,44,48,50,63,78,81_84,90,92,96,99,100,102,111,116,130,136_140,145,167,172,175,184,192,195_206,213,228,229,231,237,238,240,243,262,263,294,301,302,318,363,367,379,389,453,454
+>NWMN_2000	5975	x
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+6	n	S Y:260,261;-:20,108,112,170,210,323;?:0_5,8_14,26_68,85_92,110,120,143_160,162,199,228,339
+7	n	P -:20,108,112,170,210,323;L:113_115,198,200_206,211,212;?:0_5,8_14,26_68,85_92,110,120,143_160,162,199,228,339
+9	n	I -:20,108,112,170,210,323;?:0_5,8_14,26_68,85_92,110,120,143_160,162,199,228,339;N:81,82
+11	n	D -:20,108,112,170,210,323;?:0_5,8_14,26_68,85_92,110,120,143_160,162,199,228,339;N:69,113_115,198,200_206,211,212
+32	n	N H:69;?:0_5,8_14,26_68,85_92,110,120,143_160,162,199,228,339
+38	n	V G:210_212;?:0_5,8_14,26_68,85_92,110,120,143_160,162,199,228,339
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+-46	p	G A:3,69;?:0_2,81,82,144
+-37	p	A G:3,69;?:0_2,81,82,144
+-31	p	C T:69;?:0_2,81,82,144
+-29	p	C G:3,69;?:0_2,81,82,144
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+7	n	P A:13;-:81,82;?:0_2,144
+10	n	F -:81,82;L:3;?:0_2,144
+17	n	L I:73_77;?:0_2,144
+41	n	N S:86;?:0_2,144
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+50	n	E K:97;?:0_2,144
+55	n	K S:3_7,13_51,53_82,84_143,145_212;-:8_12,52,83,213_244;?:0_2,144
+56	n	K -:8_12,52,83,213_244;?:0_2,144;N:246,365
+57	n	T I:100,101;-:8_12,52,83,213_244;N:246,365;Q:48,245,247_257,260,262,265,279_363,366_368,370_460;?:0_2,144
+58	n	I -:8_12,52,83,213_244;L:48;Q:246,365;S:245,247_257,260,262,265,279_363,366_368,370_460;?:0_2,144
+60	n	N Y:48,245,247_257,260,262,265,279_363,366_368,370_460;-:8_12,52,83,213_244,246,365;T:90,91;?:0_2,144
+63	n	V -:8_12,52,83,213_244,246,365;T:48,245,247_257,260,262,265,279_363,366_368,370_460;?:0_2,144
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+-16	p	G T:4_86,93_96,100_115,119_206,208,209;?:0_3
+-12	p	A G:87_91;?:0_3
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+-6	p	A G:122_130,134_137,143_172,175_194;?:0_6,8_70,79_82,85,86,119_121,131_133
+-3	p	G A:213;?:0_6,8_70,79_82,85,86,119_121,131_133
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+46	n	N K:4_68,71,72,83,85,86;D:102;?:0_3,119_121,131_133
+48	n	A T:85,86;?:0_3,119_121,131_133
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+44	n	K E:230;-:227,295;?:0_14,26_70,78,95,208,209
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+52	n	N I:150,241;-:110;?:0_14,26_70,78,95,208,209
+53	n	N I:150,241;S:83;-:110;?:0_14,26_70,78,95,208,209
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+67	n	Q -:15_25,71_77,81,82,87_92,110,150,161,241;W:237;?:0_14,26_70,78,95,208,209
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+-44	p	T A:3,6_13;?:0_2,5,14,15,20,27,28,40,47_68,76,80,89,92,98,106_108,110,118,122,123,126_128,138_144,148,191,198,212,213,234,246,278,280,311,408
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+-25	p	G A:93_96,208,209;?:0_2,5,14,15,20,27,28,40,47_68,76,80,89,92,98,106_108,110,118,122,123,126_128,138_144,148,191,198,212,213,234,246,278,280,311,408
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+-17	p	T A:84;?:0_2,5,14,15,20,27,28,40,47_68,76,80,89,92,98,106_108,110,118,122,123,126_128,138_144,148,191,198,212,213,234,246,278,280,311,408
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+5	n	F I:3;Y:82,84,210,211;-:5,14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,118,122,123,126_128,143,144,148,191,198,212,213,234,246,278,280,408;?:0_2,311
+6	n	L I:195_197;-:5,14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,118,122,123,126_128,143,144,148,191,198,212,213,234,246,278,280,408;?:0_2,311;F:3,6_13,26,28_46,48,50,53,55,67_70,82,84,93_96,99,102_105,109,111,119_121,124,125,129_142,145_147,149_190,192_194,207_211
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+12	n	I -:5,14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,118,122,123,126_128,143,144,148,191,198,212,213,234,246,278,280,408;L:81_84,210,211;?:0_2,311
+13	n	K A:4,16_19,21_25,71,72,79,100,101,195_197,199_206;E:73_75,77,78,83,85_88,90,91,116,117;-:5,14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,118,122,123,126_128,143,144,148,191,198,212,213,234,246,278,280,408;N:3;T:112;?:0_2,311
+14	n	N E:69,70,99;I:71,72,79,112;K:83;-:5,14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,118,122,123,126_128,143,144,148,191,198,212,213,234,246,278,280,408;Q:82,84,210,211;S:4,16_19,21_25,73_75,77,78,85_88,90,91,100,101,116,117,199_206;Y:195_197;?:0_2,311
+15	n	A G:3,81,103_105,109,111,119_121,124,125,129_142,145_147,149_190,192_194;K:71,72,79,112;-:5,14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,118,122,123,126_128,143,144,148,191,198,212,213,234,246,278,280,408;N:69,70,99;S:73_75,77,78,85_88,90,91,116,117;R:6_13,26,28_46,48,50,53,55,67,68,93_96,102,207_209;T:82_84,210,211;Y:4,16_19,21_25,100,101,195_197,199_206;?:0_2,311
+16	n	D I:4,16_19,21_25,100,101,199_206;K:69,71_75,77_79,85_88,90,91,112,116,117;-:5,14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,118,122,123,126_128,143,144,148,191,198,212,213,234,246,278,280,408;N:3,6_13,26,28_46,48,50,53,55,67,68,81,93_96,102_105,109,111,119_121,124,125,129_142,145_147,149_190,192_194,207_209;S:195_197;T:70,82,84,99,210,211;?:0_2,311
+17	n	I H:3;K:4,16_19,21_25,71_75,77_79,81,85_88,90,91,100,101,112,116,117,195_197,199_206;-:5,14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,118,122,123,126_128,143,144,148,191,198,212,213,234,246,278,280,408;N:69,70,99;S:83;T:6_13,26,28_46,48,50,53,55,67,68,93_96,102_105,109,111,119_121,124,125,129_142,145_147,149_190,192_194,207_209;V:82,84,210,211;?:0_2,311
+18	n	S D:103_105,109,111,119_121,124,125,129_142,145_147,149_190,192_194;K:4,16_19,21_25,100,101,199_206;-:5,14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,118,122,123,126_128,143,144,148,191,198,212,213,234,246,278,280,408;N:6_13,26,28_46,48,50,53,55,67,68,73_75,77,78,82,84_88,90,91,93_96,102,116,117,195_197,207_211;R:3;T:70,99;Y:81;?:0_2,311
+19	n	R D:3,69;-:5,14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,118,122,123,126_128,143,144,148,191,198,212,213,234,246,278,280,408;N:4,16_19,21_25,70_75,77_79,82,84_88,90,91,99_101,103_105,109,111,112,116,117,119_121,124,125,129_142,145_147,149_190,192_197,199_206,210,211;S:81;T:6_13,26,28_46,48,50,53,55,67,68,93_96,102,207_209;?:0_2,311
+20	n	K E:71,72,79,112;G:3,82,84,210,211;I:195_197;M:4,16_19,21_25,100,101,199_206;-:5,14,15,20,27,47,49,51,52,54,56_66,69,70,76,80,89,92,98,99,106_108,110,118,122,123,126_128,143,144,148,191,198,212,213,234,246,278,280,408;L:103_105,109,111,119_121,124,125,129_142,145_147,149_190,192_194;N:6_13,73_75,77,78,83,85_88,90,91,93_96,102,116,117,207_209;S:26,28_46,48,50,53,55,67,68;?:0_2,311
+21	n	D E:69,70,99;G:73_75,77,83,85_88,90,91,116,117;-:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,118,122,123,126_128,143,144,148,191,212,213,234,246,278,280,408;N:3_13,16_19,21_26,28_46,48,50,53,55,67,68,81,82,84,93_96,100_102,198_211,220_223;V:78;?:0_2,311
+22	n	L I:4,5,16_19,21_25,71,72,79,82,84,100,101,112,195_206,210,211;-:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,118,122,123,126_128,143,144,148,191,212,213,234,246,278,280,408;M:69,70,99;V:73_75,77,78,85_88,90,91,116,117;Y:6_13,26,28_46,48,50,53,55,67,68,93_96,102_105,109,111,119_121,124,125,129_142,145_147,149_190,192_194,207_209;?:0_2,311
+23	n	L I:3;-:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126_128,143,144,148,191,212,213,234,246,278,280,408;?:0_2,311
+25	n	L I:69;M:82,84,210,211;-:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126_128,143,144,148,191,212,213,234,246,278,280,408;?:0_2,311
+26	n	T S:3,103_105,109,111,119_121,124,125,129_142,145_147,149_190,192_194;-:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126_128,143,144,148,191,212,213,234,246,278,280,408;?:0_2,311
+27	n	H Q:69,82,84,210,211;E:70,99;-:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126_128,143,144,148,191,212,213,234,246,278,280,408;?:0_2,311
+28	n	E Q:71_75,77_79,85_88,90,91,112,116_118;-:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126_128,143,144,148,191,212,213,234,246,278,280,408;G:4,5,16_19,21_25,82,84,100,101,198_206,210,211;?:0_2,311
+31	n	S A:71,72,112;E:3,6_13,26,28_46,48,50,53,55,67,68,82,84,93_96,102_105,109,111,119_121,124,125,129_142,145_147,149_190,192_194,207_211;K:69;-:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126_128,143,144,148,191,212,213,234,246,278,280,408;L:73_75,77,78,81,85_88,90,91,116_118,195_197;Q:70,99;T:4,5,16_19,21_25,79,83,100,101,198_206;?:0_2,311
+32	n	Y A:4,5,16_19,21_25,71_75,77_79,85_88,90,91,100,101,112,116_118,198_206;H:70,99;K:195_197;-:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126_128,143,144,148,191,212,213,234,246,278,280,408;L:82,84,210,211;N:3;S:6_13,26,28_46,48,50,53,55,67,68,93_96,102_105,109,111,119_121,124,125,129_142,145_147,149_190,192_194,207_209;T:81;?:0_2,311
+33	n	I -:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126_128,143,144,148,191,212,213,234,246,278,280,408;?:0_2,311;V:81,103_105,109,111,119_121,124,125,129_142,145_147,149_190,192_194
+34	n	F Y:4_13,16_19,21_26,28_46,48,50,53,55,67_70,82,84,93_96,99_102,195_211;H:71_75,77_79,85_88,90,91,112,116_118;-:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126_128,143,144,148,191,212,213,234,246,278,280,408;?:0_2,311
+35	n	D E:73_75,77,78,82,84_88,90,91,116_118,195_197,210,211;-:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126_128,143,144,148,191,212,213,234,246,278,280,408;N:4_13,16_19,21_26,28_46,48,50,53,55,67,68,93_96,100_105,109,111,119_121,124,125,129_142,145_147,149_190,192_194,198_209;Q:71,72,79,112;S:3;?:0_2,311
+36	n	T A:4,5,16_19,21_25,71_75,77_79,85_88,90,91,100,101,116_118,198_206;G:82,84,112,210,211;K:69,70,99;-:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126_128,143,144,148,191,212,213,234,246,278,280,408;S:6_13,26,28_46,48,50,53,55,67,68,93_96,102,195_197,207_209;?:0_2,311
+37	n	L I:4,5,16_19,21_25,71_75,77_79,85_88,90,91,100,101,112,116_118,198_206;-:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;?:0_2,311
+38	n	K Q:195_197;-:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;?:0_2,311
+39	n	K E:4,5,16_19,21_25,73_75,77,78,81,85_88,90,91,100,101,116_118,195_206;D:71,72,79,112;-:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;N:6_13,26,28_46,48,50,53,55,67,68,82,84,210,211;S:69,70,99;?:0_2,311
+40	n	N Q:3,82,84,103_105,109,111,119_121,124,125,127_142,144_194,210,211;H:6_13,26,28_46,48,50,53,55,67,68,93_96,102,207_209;-:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;?:0_2,311
+41	n	K -:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;N:3,69,70,99;S:82,84,103_105,109,111,119_121,124,125,127_142,144_194,210,211;R:6_13,26,28_46,48,50,53,55,67,68,93_96,102,207_209;?:0_2,311
+42	n	Q A:71,72,79,82,84,112;E:3,6_13,26,28_46,48,50,53,55,67,68,70,93_96,99,102_105,109,111,119_121,124,125,127_142,144_194,207_209;D:69;K:4,5,16_19,21_25,195_197;-:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;N:73_75,77,78,81,85_88,90,91,100,101,116_118,198_206;T:210,211;?:0_2,311
+43	n	E -:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;W:70,99;?:0_2,311
+45	n	L E:4,5,16_19,21_25,71_75,77_79,85_88,90,91,100,101,112,116_118,198_206;D:195_197;M:69,70,99;-:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;S:6_13,26,28_46,48,50,53,55,67,68,93_96,102,207_209;?:0_2,311
+46	n	K I:195_197;-:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;Q:83;R:69,73_75,77,78,85_88,90,91,116_118;?:0_2,311
+47	n	D E:3,6_13,26,28_46,48,50,53,55,67_70,81_84,93_96,99,102_105,109,111,119_121,124,125,127_142,144_197,207_211;K:71_75,77_79,85_88,90,91,112,116_118;-:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;N:4,5,16_19,21_25,100,101,198_206;?:0_2,311
+48	n	I -:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;S:195_197;T:73_75,77,78,85_88,90,91,116_118;V:4,5,16_19,21_25,71,72,79,100,101,112,198_206;?:0_2,311
+49	n	E Q:73_75,77,78,83,85_88,90,91,116_118;-:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;K:69,70,99,195_197;?:0_2,311
+50	n	E D:73_75,77,78,85_88,90,91,103_105,109,111,116_121,124,125,127_142,144_194;I:99;K:100,101,195_197;-:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;N:4,5,16_19,21_25,70,198_206;Q:82,84,210,211;S:71,72,79,112;?:0_2,311
+51	n	I -:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;?:0_2,311;V:82,84,210,211
+52	n	Q E:4,5,16_19,21_25,71_75,77_79,85_88,90,91,100,101,112,116_118,195_206;K:3,69,82,84,103_105,109,111,119_121,124,125,127_142,144_194,210,211;-:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;N:6_13,26,28_46,48,50,53,55,67,68,81,83,93_96,102,207_209;?:0_2,311
+53	n	L E:70,99,195_197;D:69;K:3,103_105,109,111,119_121,124,125,127_142,144_194;-:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;N:6_13,26,28_46,48,50,53,55,67,68,71,72,79,81,82,84,93_96,102,112,207_211;S:4,5,16_19,21_25,73_75,77,78,85_88,90,91,100,101,116_118,198_206;?:0_2,311
+54	n	K D:3,103_105,109,111,119_121,124,125,127_142,144_194;-:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;N:82,84,210,211;S:69;R:70,73_75,77,78,85_88,90,91,99,116_118;?:0_2,311
+55	n	N H:4,5,16_19,21_25,69,100,101,195_206;K:3;-:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;Y:70_72,79,99,112;?:0_2,311
+56	n	S -:14,15,20,27,47,49,51,52,54,56_66,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;L:4,5,16_19,21_25,100,101,198_206;Q:70,99;P:3,6_13,26,28_46,48,50,53,55,67_69,73_75,77,78,81,82,84_88,90,91,93_96,102_105,109,111,116_121,124,125,127_142,144_197,207_211;?:0_2,311
+57	n	D E:3,6_13,81,93_96,102_105,109,111,119_121,124,125,127_142,144_197,207_209;-:14,15,20,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;Q:82,84,210,211;V:26_68;?:0_2,311
+60	n	D E:6_13,26_68,81,93_96,102,207_209;K:71_75,77_79,85_88,90,91,112,116_118;-:14,15,20,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;R:4,5,16_19,21_25,100,101,195_206;?:0_2,311
+61	n	F Y:6_13,26_68,93_96,102,195_197,207_209;-:14,15,20,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;?:0_2,311
+62	n	N D:4,5,16_19,21_25,69_75,77_79,81,85_88,90,91,99_101,112,116_118,198_206;G:195_197;-:14,15,20,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;S:3,82,84,210,211;?:0_2,311
+63	n	N A:69;E:3_5,16_19,21_25,70_72,79,99_101,103_105,109,111,112,119_121,124,125,127_142,144_194,198_206;D:83;I:81;-:14,15,20,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;R:73_75,77,78,85_88,90,91,116_118;W:82,84,210,211;?:0_2,311
+64	n	T E:3,6_13,26_68,81,82,84,93_96,102_105,109,111,119_121,124,125,127_142,144_197,207_211;D:4,5,16_19,21_25,71_75,77,78,85_88,90,91,100,101,116_118,198_206;K:70,99;-:14,15,20,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;N:69;V:79,112;?:0_2,311
+65	n	E Q:69,70,81,99;-:14,15,20,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;K:4,5,16_19,21_25,71_75,77_79,85_88,90,91,100,101,112,116_118,198_206;?:0_2,311
+66	n	Q E:195_197;-:14,15,20,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;D:4,5,16_19,21_25,71_75,77_79,85_88,90,91,100,101,112,116_118,198_206;?:0_2,311
+67	n	H D:71,72,79,112;-:14,15,20,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;L:3,103_105,109,111,119_121,124,125,127_142,144_194;N:82,84,210,211;T:6_13,26_68,81,93_96,102,207_209;Y:4,5,16_19,21_25,73_75,77,78,83,85_88,90,91,100,101,116_118,195_206;?:0_2,311
+68	n	N E:4,5,16_19,21_25,69,73_75,77,78,85_88,90,91,100,101,116_118,198_206;D:70,99;K:3,6_13,26_68,71,72,79,81,82,84,93_96,102_105,109,111,112,119_121,124,125,127_142,144_194,207_211;-:14,15,20,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;Q:195_197;?:0_2,311
+69	n	A C:103_105,109,111,119_121,124,125,127_142,144_194;H:3;-:14,15,20,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;S:69;V:71_75,77_79,85_88,90,91,112,116_118;?:0_2,311
+70	n	D R:4,5,16_19,21_25,71_75,77_79,85_88,90,91,100,101,112,116_118,198_206;-:14,15,20,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;?:0_2,311;N:195_197
+71	n	V D:71,72,79,112;I:82,84,210,211;-:14,15,20,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;L:3,103_105,109,111,119_121,124,125,127_142,144_194;T:6_13,26_68,81,93_96,102,207_209;?:0_2,311
+72	n	E -:14,15,20,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;K:4,5,16_19,21_25,69,70,73_75,77,78,85_88,90,91,99_101,116_118,195_206;?:0_2,311
+73	n	I -:14,15,20,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;L:3_13,16_19,21_68,71_75,77_79,81,82,84_88,90,91,93_96,100_105,109,111,112,116_121,124,125,127_142,144_211;?:0_2,311
+75	n	N E:4,5,16_19,21_25,70_75,77_79,85_88,90,91,99_101,112,116_118,195_206;D:69;K:103_105,109,111,119_121,124,125,127_142,144_194;-:14,15,20,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;T:3,6_13,26_68,81,82,84,93_96,102,207_211;?:0_2,311
+77	n	E -:14,15,20,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;D:84;?:0_2,311
+79	n	K Q:3,6_13,26_68,81,93_96,102_105,109,111,119_121,124,125,127_142,144_194,207_209;-:14,15,20,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;?:0_2,311
+80	n	V I:3,103_105,109,111,119_121,124,125,127_142,144_194;A:82,84,210,211;-:14,15,20,76,80,89,92,98,106_108,110,122,123,126,143,212,213,234,246,278,280,408;?:0_2,311
+83	n	V I:6_14,26_68,81,93_96,102,207_209;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;L:3_5,15_19,21_25,69_75,77_79,83,85_88,90,91,99_101,103_112,116_121,124_142,144_206;?:0_2,311
+85	n	Y A:82,84,210,211;H:73_75,77,78,85_88,90,91,116_118;K:103_111,119_121,124_142,144_194;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;Q:4,5,15_19,21_25,71,72,79,100,101,112,198_206;R:3;?:0_2,311
+86	n	T A:4,5,15_19,21_25,69,71_75,77_79,85_88,90,91,100,101,112,116_118,195_206;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;?:0_2,311
+87	n	F Y:82,84,210,211;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;?:0_2,311
+88	n	Y -:4,5,15_25,69_80,85_92,98_101,112,116_118,122,123,143,198_206,212,213,234,246,280,408;?:0_2,311;F:82_84,195_197,210,211
+89	n	N G:70,99,195_197;H:6_14,26_68,81,93_96,102,207_209;K:69;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;Q:3,103_111,119_121,124_142,144_194;P:4,5,15_19,21_25,71_75,77_79,85_88,90,91,100,101,112,116_118,198_206;S:83;?:0_2,311
+90	n	T E:82,84,210,211;D:4,5,15_19,21_25,71,72,79,100,101,112,198_206;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;N:3,69,70,73_75,77,78,85_88,90,91,99,103_111,116_121,124_142,144_197;S:6_14,26_68,81,93_96,102,207_209;?:0_2,311
+91	n	N E:69;H:82,84,210,211;K:4,5,15_19,21_25,71_75,77,79,87,88,90,91,100,101,112,116_118,198_206;-:20,76,80,89,92,98,122,123,143,195_197,212,213,234,246,280,408;Q:78,85,86;V:70,99;Y:3,83,103_111,119_121,124_142,144_194;?:0_2,311
+92	n	K G:70,99;H:73_75,77,78,85_88,90,91,116_118;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;S:69;R:82,84,103_111,119_121,124_142,144_194,210,211;V:4,5,15_19,21_25,71,72,79,100,101,112,198_206;?:0_2,311
+93	n	D E:69,71_75,77_79,85_88,90,91,112,116_118;G:70,99;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;N:6_14,26_68,81,93_96,102,207_209;?:0_2,311
+94	n	E A:4,5,15_19,21_25,69_75,77_79,85_88,90,91,99_101,112,116_118,195_206;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;D:3,103_111,119_121,124_142,144_194;?:0_2,311
+95	n	V R:4,5,15_19,21_25,69_75,77_79,85_88,90,91,99_101,112,116_118,195_206;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;?:0_2,311
+96	n	E M:71,72,79,112;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;L:69;T:70,99;?:0_2,311
+97	n	E D:6_14,26_68,71,72,79,81,82,84,93_96,102,112,207_211;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;N:3,69,70,73_75,77,78,85_88,90,91,99,116_118,195_197;S:4,5,15_19,21_25,100,101,103_111,119_121,124_142,144_194,198_206;?:0_2,311
+100	n	S R:162;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;?:0_2,311;N:4_19,21_68,71_75,77_79,81,82,84_88,90,91,93_96,100_102,112,116_118,195_211
+101	n	E K:3_19,21_75,77_79,81,82,84_88,90,91,93_96,99_112,116_121,124_142,144_211;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;?:0_2,311
+104	n	L -:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;M:4_19,21_68,71,72,79,81,82,84,93_96,100_102,112,195_211;?:0_2,311
+106	n	V -:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;M:3,103_111,119_121,124_142,144_194;L:6_14,26_70,81,82,84,93_96,99,102,207_211;?:0_2,311
+108	n	E -:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;L:4,5,15_19,21_25,100,101,195_206;R:73_75,77,78,85_88,90,91,116_118;Y:3,6_14,26_72,79,81,82,84,93_96,99,102_112,119_121,124_142,144_194,207_211;?:0_2,311
+109	n	V E:70,82,84,99,210,211;D:4,5,15_19,21_25;K:3,6_14,26_69,81,93_96,102_111,119_121,124_142,144_194,207_209;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;S:71_75,77_79,85_88,90,91,100,101,112,116_118,195_206;?:0_2,311
+110	n	Q E:71,72,79,82,84,112,210,211;D:3,6_14,26_68,70,73_75,77,78,81,85_88,90,91,93_96,99,102_111,116_121,124_142,144_194,207_209;K:195_197;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;N:4,5,15_19,21_25,100,101,198_206;S:69;?:0_2,311
+111	n	D E:3,6_14,26_68,81,93_96,102_111,119_121,124_142,144_194,207_209;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;N:195_197;Y:69,70,99;?:0_2,311
+112	n	K -:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;E:3_19,21_75,77_79,81,82,84_88,90,91,93_96,99_112,116_121,124_142,144_211;?:0_2,311
+113	n	S I:4,5,15_19,21_25,100,101,198_206;R:3,6_14,26_75,77_79,81,82,84_88,90,91,93_96,99,102_112,116_121,124_142,144_197,207_211;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;?:0_2,311
+114	n	D A:3,103_111,119_121,124_142,144_194;E:4,5,15_19,21_25,71_75,77_79,85_88,90,91,100,101,112,116_118,195_206;K:6_14,26_68,70,81,82,84,93_96,99,102,207_211;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;L:69;?:0_2,311
+115	n	K E:4,5,15_19,21_25,71_75,77_79,85_88,90,91,100,101,112,116_118,198_206;D:195_197;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;N:3,103_111,119_121,124_142,144_194;S:82,84,210,211;Y:69,70,99;?:0_2,311
+116	n	K R:3_5,15_19,21_25,71_75,77_79,85_88,90,91,100,101,112,116_118,198_206;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;?:0_2,311
+117	n	R I:195_197;H:4,5,15_19,21_25,71_75,77_79,85_88,90,91,100,101,112,116_118,198_206;K:3,69,82,84,103_111,119_121,124_142,144_194,210,211;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;Q:70,99;?:0_2,311
+118	n	A P:3_5,15_19,21_25,69_75,77_79,82,84_88,90,91,99_101,112,116_118,195_206,210,211;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;?:0_2,311
+119	n	V I:82,84,210,211;K:195_197;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;Q:4,5,15_19,21_25,71_75,77_79,85_88,90,91,100,101,112,116_118,198_206;T:6_14,26_70,81,93_96,99,102,207_209;?:0_2,311
+121	n	Q E:4,5,15_19,21_25,71,72,79,100,101,112,198_206;D:73_75,77,78,85_88,90,91,116_118;K:3,103_111,119_121,124_142,144_197;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;N:82,84,210,211;S:69,70,99;?:0_2,311
+123	n	M -:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;L:4,5,15_19,21_25,71_75,77_79,85_88,90,91,100,101,112,116_118,198_206;?:0_2,311
+124	n	L F:3,6_14,26_68,81,93_96,102,195_197,207_209;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;S:73_75,77,78,85_88,90,91,116_118;Y:71,72,79,112;?:0_2,311
+125	n	N E:3,82,84,103_111,119_121,124_142,144_197,210,211;K:4,5,15_19,21_25,69,71_75,77_79,85_88,90,91,100,101,112,116_118,198_206;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;S:83;?:0_2,311
+126	n	R E:4,5,15_19,21_25,69_75,77_79,85_88,90,91,99_101,112,116_118,198_206;D:195_197;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;N:3,6_14,26_68,81,93_96,102_111,119_121,124_142,144_194,207_209;?:0_2,311
+127	n	K R:4,5,15_19,21_25,71_75,77_79,85_88,90,91,100,101,112,116_118,195_206;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;T:82,84,210,211;?:0_2,311
+128	n	K I:69,195_197;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;M:70,99;V:4,5,15_19,21_25,71_75,77_79,85_88,90,91,100,101,112,116_118,198_206;?:0_2,311
+129	n	E -:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;K:195_197;?:0_2,311
+133	n	F I:3;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;S:69,73_75,77,78,83,85_88,90,91,116_118,195_197;T:4_19,21_68,70_72,79,81,82,84,93_96,99_112,119_121,124_142,144_194,198_211;?:0_2,311
+134	n	I -:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;T:3;?:0_2,311
+136	n	D S:82,84,210,211;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;?:0_2,311;N:49
+137	n	K -:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;E:3_19,21_75,77_79,81,82,84_88,90,91,93_96,99_112,116_121,124_142,144_211;?:0_2,311
+139	n	F -:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;L:270,297;?:0_2,311
+140	n	K E:69,70,99;G:6_14,26_68,81,93_96,102,207_209;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;N:4,5,15_19,21_25,100,101,198_206;S:3,103_111,119_121,124_142,144_194;R:82,84,210,211;V:73_75,77,78,85_88,90,91,116_118,195_197;?:0_2,311
+141	n	K E:6_14,26_70,73_75,77,78,81,83,85_88,90,91,93_96,99,102,116_118,195_197,207_209;D:4,5,15_19,21_25,71,72,79,82,84,100,101,103_112,119_121,124_142,144_194,198_206,210,211;-:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;N:3;?:0_2,311
+142	n	I -:20,76,80,89,92,98,122,123,143,212,213,234,246,280,408;?:0_2,311;N:404
+143	n	Q D:3,103_111,119_121,124_142,144_194;G:4_19,21_68,70,81,93_96,99_102,198_209;K:82_84,210,211;-:76,80,89,92,98,122,123,143,212,213,234,246,280,408;N:69,71_75,77_79,85_88,90,91,112,116_118,195_197;V:20;?:0_2,311
+144	n	Q -:76,80,89,92,98,122,123,143,212,213,234,246,280,408;K:3,20,69,70,82,84,99,103_111,119_121,124_142,144_194,210,211;E:4,5,15_19,21_25,71_75,77_79,85_88,90,91,100,101,112,116_118,195_206;?:0_2,311
+145	n	E I:20;-:76,80,89,92,98,122,123,143,212,213,234,246,280,408;N:4,5,15_19,21_25,71_75,77_79,85_88,90,91,100,101,112,116_118,195_206;Q:6_14,26_68,70,81,93_96,99,102,207_209;T:3,103_111,119_121,124_142,144_194;?:0_2,311
+148	n	E A:71,72,79,112;I:70,99;K:69,82,84,210,211;-:76,80,89,92,98,122,123,143,212,213,234,246,280,408;L:73_75,77,78,85_88,90,91,116_118,195_197;N:103_111,119_121,124_142,144_194;S:3;T:6_14,26_68,81,93_96,102,207_209;?:0_2,311
+149	n	S D:69,82,84,210,211;F:26;-:76,80,89,92,98,122,123,143,212,213,234,246,280,408;N:3_5,15_25,70_75,77_79,83,85_88,90,91,99_101,103_112,116_121,124_142,144_206;?:0_2,311
+151	n	P A:4,5,15_25;S:100,101,198_206;-:76,80,89,92,98,122,123,143,212,213,234,246,280,408;?:0_2,311
+152	n	A M:82,84,210,211;-:76,80,89,92,98,122,123,143,212,213,234,246,280,408;P:4,5,15_25,100,101,198_206;T:6_14,26_68,70,81,93_96,99,102,207_209;V:3,69,103_111,119_121,124_142,144_194;?:0_2,311
+154	n	T A:6_14,26_68,70,81,93_96,99,102,207_209;E:3,103_111,119_121,124_142,144_194;I:87,88,90,91;-:76,80,89,92,98,122,123,143,212,213,234,246,280,408;S:69;V:73_75,77,78,85,86,116_118,195_197;?:0_2,311
+155	n	S A:82,84,210,211;E:69,73_75,77,78,85_88,90,91,116_118,195_197;D:3,103_111,119_121,124_142,144_194;-:76,80,89,92,98,122,123,143,212,213,234,246,280,408;N:4,5,15_25,100,101,198_206;P:6_14,26_68,81,93_96,102,207_209;?:0_2,311
+156	n	E -:4,5,15_25,69,71_80,82_92,98,100,101,112_118,122,123,143,195_206,210_213,220_223,229,234,246,264,270,278,280,294,297,357,404,408,419,420,453;K:6_14,26_68,81,93_96,102,207_209;?:0_2,311
+159	n	K -:76,80,89,92,98,122,123,143,212,213,234,246,280,408;E:3_5,15_25,69,100,101,103_111,119_121,124_142,144_194,198_206;?:0_2,311;N:73_75,77,78,85_88,90,91,116_118,195_197
+160	n	N E:3,6_14,26_68,70_75,77_79,81,85_88,90,91,93_96,99,102_112,116_121,124_142,144_197,207_209;H:4,5,15_25,69;-:76,80,89,92,98,122,123,143,212,213,234,246,280,408;Y:100,101,198_206;?:0_2,311
+161	n	H E:69,73_75,77,78,85_88,90,91,116_118,195_197;K:3_5,15_25,100,101,103_111,119_121,124_142,144_194,198_206;-:76,80,89,92,98,122,123,143,212,213,234,246,280,408;N:71,72,79,112;T:6_14,26_68,70,81,93_96,99,102,207_209;Y:82,84;?:0_2,311
+162	n	N M:98;-:76,80,89,92,122,123,143,212,213,234,246,280,408;?:0_2,311
+163	n	Q A:70,99;I:26_68,73_75,77,78,81,85_88,90,91,116_118,195_197;H:103_111,119_121,124_142,144_194;K:4,5,15_25,69,100,101,198_206;-:76,80,89,92,122,123,143,212,213,234,246,280,408;R:3,71,72,79,112;T:6_14,93_96,102,207_209;?:0_2,311
+164	n	T E:4,5,15_25,69,78,85,86,100,101,116_118,198_206;K:26_68,70,81,98,99,103_111,119_121,124_142,144_194;-:76,80,89,92,122,123,143,212,213,234,246,280,408;N:6_14,93_96,102,207_209;S:71,72,79,83,112;R:3;V:73_75,77,87,88,90,91,195_197;?:0_2,311
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+-47	p	T G:142;?:0_2,13,14,56_68,73,76,78_80,85,98,100,110,123,126,131,134,145,146,167,197,211,225,234,236,240,246,289,379,428
+-46	p	A C:142;?:0_2,13,14,56_68,73,76,78_80,85,98,100,110,123,126,131,134,145,146,167,197,211,225,234,236,240,246,289,379,428
+-45	p	T A:142;?:0_2,13,14,56_68,73,76,78_80,85,98,100,110,123,126,131,134,145,146,167,197,211,225,234,236,240,246,289,379,428
+-43	p	A T:142;?:0_2,13,14,56_68,73,76,78_80,85,98,100,110,123,126,131,134,145,146,167,197,211,225,234,236,240,246,289,379,428
+-41	p	A T:142;?:0_2,13,14,56_68,73,76,78_80,85,98,100,110,123,126,131,134,145,146,167,197,211,225,234,236,240,246,289,379,428
+-40	p	A T:142;?:0_2,13,14,56_68,73,76,78_80,85,98,100,110,123,126,131,134,145,146,167,197,211,225,234,236,240,246,289,379,428
+-38	p	T A:142;?:0_2,13,14,56_68,73,76,78_80,85,98,100,110,123,126,131,134,145,146,167,197,211,225,234,236,240,246,289,379,428
+-35	p	G ?:0_2,13,14,56_68,73,76,78_80,85,98,100,110,123,126,131,134,145,146,167,197,211,225,234,236,240,246,289,379,428;T:142
+-32	p	A T:142;?:0_2,13,14,56_68,73,76,78_80,85,98,100,110,123,126,131,134,145,146,167,197,211,225,234,236,240,246,289,379,428
+-31	p	G ?:0_2,13,14,56_68,73,76,78_80,85,98,100,110,123,126,131,134,145,146,167,197,211,225,234,236,240,246,289,379,428;T:142
+-26	p	T G:142;?:0_2,13,14,56_68,73,76,78_80,85,98,100,110,123,126,131,134,145,146,167,197,211,225,234,236,240,246,289,379,428
+-25	p	T C:3;?:0_2,13,14,56_68,73,76,78_80,85,98,100,110,123,126,131,134,145,146,167,197,211,225,234,236,240,246,289,379,428
+-20	p	G T:3;?:0_2,13,14,56_68,73,76,78_80,85,98,100,110,123,126,131,134,145,146,167,197,211,225,234,236,240,246,289,379,428
+-19	p	G A:77;?:0_2,13,14,56_68,73,76,78_80,85,98,100,110,123,126,131,134,145,146,167,197,211,225,234,236,240,246,289,379,428
+-13	p	A T:142;?:0_2,13,14,56_68,73,76,78_80,85,98,100,110,123,126,131,134,145,146,167,197,211,225,234,236,240,246,289,379,428
+-12	p	A G:142;?:0_2,13,14,56_68,73,76,78_80,85,98,100,110,123,126,131,134,145,146,167,197,211,225,234,236,240,246,289,379,428
+-11	p	G ?:0_2,13,14,56_68,73,76,78_80,85,98,100,110,123,126,131,134,145,146,167,197,211,225,234,236,240,246,289,379,428;T:142
+-10	p	G ?:0_2,13,14,56_68,73,76,78_80,85,98,100,110,123,126,131,134,145,146,167,197,211,225,234,236,240,246,289,379,428;T:142
+-6	p	T A:3;-:142;?:0_2,13,14,56_68,73,76,78_80,85,98,100,110,123,126,131,134,145,146,167,197,211,225,234,236,240,246,289,379,428
+-2	p	A -:142;G:95;?:0_2,13,14,56_68,73,76,78_80,85,98,100,110,123,126,131,134,145,146,167,197,211,225,234,236,240,246,289,379,428
+0	p	T A:3,142;?:0_2,13,14,56_68,73,76,78_80,85,98,100,110,123,126,131,134,145,146,167,197,211,225,234,236,240,246,289,379,428
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+-19	p	T A:6,7;?:0_3,12,15,27,29_38,42,47_50,52,53,57_65,69,73_77,80_84,87_91,97_99,101_111,113_115,123,131,150,178,207_212,219,264,357
+-18	p	T A:6,7;?:0_3,12,15,27,29_38,42,47_50,52,53,57_65,69,73_77,80_84,87_91,97_99,101_111,113_115,123,131,150,178,207_212,219,264,357
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+-9	p	A T:6,7;?:0_3,12,15,27,29_38,42,47_50,52,53,57_65,69,73_77,80_84,87_91,97_99,101_111,113_115,123,131,150,178,207_212,219,264,357
+-4	p	T G:6,7;?:0_3,12,15,27,29_38,42,47_50,52,53,57_65,69,73_77,80_84,87_91,97_99,101_111,113_115,123,131,150,178,207_212,219,264,357
+-3	p	T A:56;?:0_3,12,15,27,29_38,42,47_50,52,53,57_65,69,73_77,80_84,87_91,97_99,101_111,113_115,123,131,150,178,207_212,219,264,357
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+-3	p	T C:68;?:0_3,26,28,29,31_33,35_38,50,52,55,67,78,85,86,108,112,116_118,129,161,162,176,198_206,210,214,283
+-1	p	G A:4_25,27,30,34,39_49,51,53,54,56_66,68_77,79_84,87_107,109_111,113_115,119_128,130_160,163_175,177_194,207,211,212;?:0_3,26,28,29,31_33,35_38,50,52,55,67,78,85,86,108,112,116_118,129,161,162,176,198_206,210,214,283
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+-21	p	G A:162;?:0_3,17,78,81_83,96,101,123,167,171,234,295
+-7	p	A T:70_77;?:0_3,17,78,81_83,96,101,123,167,171,234,295
+11	n	D G:281;-:17,78,81_83,96,101,167,171,234,295;?:0_3,123
+19	n	M -:17,81,82,96,101;?:0_3,123;V:80
+20	n	M I:99;-:17,81,82,96,101;?:0_3,123;V:69
+39	n	V S:109;?:0_3,123
+40	n	Y ?:0_3,123;V:109
+41	n	N Q:109;?:0_3,123
+42	n	M Y:109;?:0_3,123
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+45	n	K E:109;?:0_3,123
+46	n	T ?:0_3,123;N:109
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+52	n	E G:109;?:0_3,123
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+-46	p	T C:4,5,8_26,29_46,70_78,80,83,87_92,97,103_111,195_209;?:0_3,6,7,27,28,47_69,79,81,82,84_86,93_96,98_102,116_118,210_212
+-41	p	C T:80;?:0_3,6,7,27,28,47_69,79,81,82,84_86,93_96,98_102,116_118,210_212
+-30	p	C T:71_77;?:0_3,6,7,27,28,47_69,79,81,82,84_86,93_96,98_102,116_118,210_212
+-27	p	A T:71_77;?:0_3,6,7,27,28,47_69,79,81,82,84_86,93_96,98_102,116_118,210_212
+-7	p	C A:26,29_46;?:0_3,6,7,27,28,47_69,79,81,82,84_86,93_96,98_102,116_118,210_212
+-3	p	A T:26,29_46;?:0_3,6,7,27,28,47_69,79,81,82,84_86,93_96,98_102,116_118,210_212
+0	p	D -:27,28,47_68;E:4,5,8_14;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212
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+7	n	C Y:70_77;-:27,47,49,51,52,54,56_67;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212
+8	n	E -:27,47,49,51,52,54,56_67;K:78;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212
+11	n	K -:27,47,49,51,52,54,56_67;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212;N:97,103_111,195_197,208,209
+13	n	L H:4,5,8_26,28_46,48,50,53,55,68,71_78,80,83,87_91,103_111,195_197,208,209;R:70;-:27,47,49,51,52,54,56_67;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212
+18	n	T A:131;-:27,47,49,51,52,54,56_67;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212
+24	n	T S:4,5,8_26,28_46,48,50,53,55,68;-:27,47,49,51,52,54,56_67;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212
+27	n	S -:27,47,49,51,52,54,56_67;T:4,5,8_26,28_46,48,50,53,55,68;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212
+41	n	K E:97;-:27,47,49,51,52,54,56_67;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212
+48	n	R -:27,47,49,51,52,54,56_67;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212;N:4,5,8_26,28_46,48,50,53,55,68
+50	n	K Q:4,5,8_26,28_46,48,50,53,55,68;-:27,47,49,51,52,54,56_67;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212
+52	n	S -:27,47,49,51,52,54,56_67;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212;N:4,5,8_26,28_46,48,50,53,55,68,87_91
+56	n	Q H:78,80;-:27,47,49,51,52,54,56_67;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212
+58	n	I M:80;-:27,47,49,51,52,54,56_67;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212
+60	n	H Q:4,5,8_26,28_46,48,50,53,55,68,87_91;-:27,47,49,51,52,54,56_67;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212
+63	n	T S:87_91;-:27,47,49,51,52,54,56,59,60,62,63,66,67;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212
+64	n	T -:51,54,56,62,66;M:26_50,52,53,55,57_61,63_65,67,68;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212
+68	n	K Q:4,5,8_50,52,53,55,57_61,63_65,67,68;-:51,54,56,62,66;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212
+70	n	N S:11;-:51,54,56,62,66;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212
+71	n	H Q:4,5,8_50,52,53,55,57_61,63_65,67,68;-:51,54,56,62,66;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212
+75	n	S -:51,54,56,62,66;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212;N:111
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+78	n	P S:70_77;-:51,54,56,62,66;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212
+79	n	I -:51,54,56,62,66;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212;F:8,9
+81	n	D -:51,54,56,62,66;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212;N:4,5,8_14,83
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+84	n	D -:51,54,56,62,66;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212;N:208
+85	n	L I:4,5,8_50,52,53,55,57_61,63_65,67,68,87_91;-:51,54,56,62,66;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212
+87	n	F A:4,5,8_25;E:26_50,52,53,55,57_61,63_65,67,68;-:51,54,56,62,66;T:87_91;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212
+91	n	A S:4,5,8_50,52,53,55,57_61,63_65,67,68,87_91;-:51,54,56,62,66;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212
+93	n	M ?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212;V:182
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+128	n	N S:183;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212
+144	n	V -:356;E:4,5,8_68,70_77;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212
+147	n	S K:4,5,8_68;-:356;?:0_3,6,7,69,79,81,82,84_86,93_96,98_102,116_118,210_212
+>SAOUHSC_02756	4389	rbgA
+-46	p	A G:26,29_46,78_80,83,84,92_96,100_102,112,195_197;?:0_25,27,28,47_68,71_77,81,82,116_118,122,123,418
+-36	p	A T:70,85,86,113_115;?:0_25,27,28,47_68,71_77,81,82,116_118,122,123,418
+-24	p	T C:70;?:0_25,27,28,47_68,71_77,81,82,116_118,122,123,418
+-3	p	T G:26,29_46,78_80,83,84;?:0_25,27,28,47_68,71_77,81,82,116_118,122,123,418
+2	n	S ?:0_25,27,28,47_68,71_77,81,82,116_118,122,123,418;N:78
+14	n	S L:70,78,85,86,98,99,113_115,207,210_212;?:0_25,27,28,47_68,71_77,81,82,116_118,122,123,418
+17	n	R K:26,29_46,69,70,78_80,83_96,98_115,119_121,124_197,207_212;?:0_25,27,28,47_68,71_77,81,82,116_118,122,123,418
+22	n	S P:70,78,85,86,92_96,98_102,112_115,195_197,207,210_212;?:0_25,27,28,47_68,71_77,81,82,116_118,122,123,418
+27	n	S P:208,209;T:70,85,86,92_96,98_102,112_115,195_197,207,210_212;?:0_25,27,28,47_68,71_77,81,82,116_118,122,123,418
+29	n	L I:70,85,86,92_96,98_102,112_115,195_197,207,210_212;?:0_25,27,28,47_68,71_77,81,82,116_118,122,123,418
+38	n	D ?:0_25,27,28,47_68,71_77,81,82,116_118,122,123,418;N:98,99,207,210_212
+40	n	Y C:70;?:0_25,27,28,47_68,71_77,81,82,116_118,122,123,418
+63	n	H L:92_96,98_102,112,195_197,207,210_212;?:0_25,27,28,47_68,71_77,81,82,116_118,122,123,418
+67	n	V I:26,29_46,78,85,86,113_115;?:0_25,27,28,47_68,71_77,81,82,116_118,122,123,418
+71	n	V I:92_96,98_102,112,195_197,207,210_212;?:0_25,27,28,47_68,71_77,81,82,116_118,122,123,418
+77	n	E ?:0_25,27,28,47_68,71_77,81,82,116_118,122,123,418;V:92_96,98_102,112,195_197,207,210_212
+>SAOUHSC_02757	5013	stbD
+-49	p	C G:87_91;T:26,29_46,70,78_80,83_86,93_96,98_102,112_117,207_212;?:0_25,27,28,47_68,71_77,81,82,118,122,123
+-46	p	G A:26,29_46,78_80,83_86,93_96,98_102,112_117,207,210_212;?:0_25,27,28,47_68,71_77,81,82,118,122,123
+-44	p	G A:26,29_46,78_80,83_86,93_96,98_102,112_117,207_212;?:0_25,27,28,47_68,71_77,81,82,118,122,123
+-37	p	C T:78;?:0_25,27,28,47_68,71_77,81,82,118,122,123
+-36	p	T C:70,78,85,86,93_96,98_102,112_117,210_212;?:0_25,27,28,47_68,71_77,81,82,118,122,123
+-34	p	T C:208,209;?:0_25,27,28,47_68,71_77,81,82,118,122,123
+-27	p	C A:87_91,208,209;T:85,86,113_115;?:0_25,27,28,47_68,71_77,81,82,118,122,123
+-26	p	G A:102;?:0_25,27,28,47_68,71_77,81,82,118,122,123;T:208,209
+-23	p	A T:26,29_46,79,80,83,84;?:0_25,27,28,47_68,71_77,81,82,118,122,123
+-17	p	A G:26,29_46,70,78_80,83_91,93_96,98_102,112_117,207_212;?:0_25,27,28,47_68,71_77,81,82,118,122,123
+-15	p	C T:70;?:0_25,27,28,47_68,71_77,81,82,118,122,123
+-6	p	G A:70,78,93_96,98_102,112,116,117,207,210_212;?:0_25,27,28,47_68,71_77,81,82,118,122,123
+0	p	A T:208,209;?:0_25,27,28,47_68,71_77,81,82,118,122,123
+12	n	D H:70,78,85,86,113_115;?:0_25,27,28,47_68,71_77,81,82,118,122,123
+44	n	E D:208,209;?:0_25,27,28,47_68,71_77,81,82,118,122,123
+48	n	S ?:0_25,27,28,47_68,71_77,81,82,118,122,123;N:78
+51	n	E G:83;?:0_25,27,28,47_68,71_77,81,82,118,122,123
+53	n	I M:85,86,92_96,98_102,112_117,195_197,207,210_212;?:0_25,27,28,47_68,71_77,81,82,118,122,123
+56	n	E Q:85,86;?:0_25,27,28,47_68,71_77,81,82,118,122,123;V:92_96,98_102,112,116,117,195_197,207,210_212
+66	n	E D:208,209;?:0_25,27,28,47_68,71_77,81,82,118,122,123
+71	n	N S:26,29_46,78_80,83,84,92_96,100_102,112,195_197;?:0_25,27,28,47_68,71_77,81,82,118,122,123
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+-29	p	T G:258,277,278;?:0_3,16,20,22,26_69,78_91,93_96,98,99,128,168,195_207,233,236,296,380
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+9	n	L S:97,113_115,210_212;-:16,20,22,128,168,233,236,296,380;?:0_3,26_69,78_91,93_96,98,99,195_207
+11	n	V I:113;-:16,20,22,128,168,233,236,296,380;?:0_3,26_69,78_91,93_96,98,99,195_207
+25	n	S T:4_7,71,72;?:0_3,26_69,78_91,93_96,98,99,195_207
+37	n	V L:15_25;?:0_3,26_69,78_91,93_96,98,99,195_207
+42	n	N Y:71,72;?:0_3,26_69,78_91,93_96,98,99,195_207
+44	n	F S:4_7,71,72,208,209;?:0_3,26_69,78_91,93_96,98,99,195_207
+50	n	M K:4_7,71,72,208,209;?:0_3,26_69,78_91,93_96,98,99,195_207
+55	n	S P:92;?:0_3,26_69,78_91,93_96,98,99,195_207
+>SAOUHSC_02796	3086	x
+-46	p	C T:3,70,73_77,79,81_83,87_97,100_111,113_136,138_212;?:0_2,4_69,71,72,78,80,84_86,98,99,112,137
+-40	p	A T:3,70,73_77,79,81_83,87_97,100_111,113_136,138_212;?:0_2,4_69,71,72,78,80,84_86,98,99,112,137
+-39	p	A T:3,102,119_136,138_194,208,209;?:0_2,4_69,71,72,78,80,84_86,98,99,112,137
+-25	p	C A:3,102,119_136,138_194,208,209;?:0_2,4_69,71,72,78,80,84_86,98,99,112,137
+29	n	A S:4,5;?:0_2,6_69,78,80,84_86,98,99,112,137
+31	n	N K:119_135;?:0_2,6_69,78,80,84_86,98,99,112,137
+49	n	G ?:0_2,6_69,78,80,84_86,98,99,112,137;D:70_72
+50	n	Y H:3_5,79,81_83,92_96,116_118,198_206,208,209;?:0_2,6_69,78,80,84_86,98,99,112,137
+58	n	P S:3;?:0_2,6_69,78,80,84_86,98,99,112,137
+62	n	I ?:0_2,6_69,78,80,84_86,98,99,112,137;V:81,82,92_96,116_118,198_206
+70	n	I ?:0_2,6_69,78,80,84_86,98,99,112,137;F:3_5,70_72,79,81_83,92_96,102_111,113_136,138_194,198_206,208_212
+76	n	H Y:79;?:0_2,6_69,78,80,84_86,98,99,112,137
+>SAOUHSC_02797	830	x
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+44	n	S A:3;?:0_2,6_69,78,80,84_86,98,99,112,127,128,137,167
+66	n	G C:4,5;?:0_2,6_69,78,80,84_86,98,99,112,127,128,137,167
+68	n	A S:3;?:0_2,6_69,78,80,84_86,98,99,112,127,128,137,167
+69	n	Y ?:0_2,6_69,78,80,84_86,98,99,112,127,128,137,167;F:3
+84	n	L ?:0_2,6_69,78,80,84_86,98,99,112,127,128,137,167;F:81,82
+88	n	L W:100,101;?:0_2,6_69,78,80,84_86,98,99,112,127,128,137,167
+95	n	L I:3;?:0_2,6_69,78,80,84_86,98,99,112,127,128,137,167
+106	n	T M:81;?:0_2,6_69,78,80,84_86,98,99,112,127,128,137,167
+107	n	L I:83;?:0_2,6_69,78,80,84_86,98,99,112,127,128,137,167
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+133	n	I ?:0_2,6_69,78,80,84_86,98,99,112,127,128,137,167;V:3
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+201	n	H ?:0_2,6_69,78,80,84_86,98,99,112,127,128,137,167;N:208,209
+204	n	E K:70,73_77;?:0_2,6_69,78,80,84_86,98,99,112,127,128,137,167
+205	n	D Y:102;E:70,73_77;?:0_2,6_69,78,80,84_86,98,99,112,127,128,137,167
+209	n	T ?:0_2,6_69,78,80,84_86,98,99,112,127,128,137,167;N:118,256
+215	n	Q K:87_97,100,101,103_111,195_209;?:0_2,6_69,78,80,84_86,98,99,112,127,128,137,167
+228	n	A T:195_197;?:0_2,6_69,78,80,84_86,98,99,112,127,128,137,167;V:208,209
+231	n	L M:70,73_77;?:0_2,6_69,78,80,84_86,98,99,112,127,128,137,167
+240	n	A ?:0_2,6_69,78,80,84_86,98,99,112,127,128,137,167;V:102,113_115,119_126,129_136,138_166,168_194,210_212
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+267	n	S ?:0_2,6_69,78,80,84_86,98,99,112,127,128,137,167;F:296
+278	n	S P:3;?:0_2,6_69,78,80,84_86,98,99,112,127,128,137,167
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+-37	p	G ?:0_3,30,31,35,38,110,121,127,128,153,154,158,168,213,226,294,356,459;T:78
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+-31	p	G A:92;?:0_3,30,31,35,38,110,121,127,128,153,154,158,168,213,226,294,356,459
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+-3	p	G A:69,100,101;?:0_3,30,31,35,38,110,121,127,128,153,154,158,168,213,226,294,356,459
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+39	n	N K:87,90,91,208_212;-:88,89,98,109,123,411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+40	n	E A:70,74_78,97,99,103_108,110_112,117,118,136_194,198_205;-:88,89,98,109,123,411;K:87,90,91;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+41	n	K E:87,90,91,208_212;G:70,74_78,97,99,103_108,110_112,117,118,136_194,198_205;-:88,89,98,109,123,411;N:26_40,42_69,72,79,81_83,119,121,122,124_130,132_135;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+44	n	K Y:26_40,42_68,72,79,81_83,119,121,122,124_130,132_135,208_212;-:88,89,98,109,123,411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;N:70,74_78,87,90,91,97,99,103_108,110_112,117,118,136_194,198_205
+45	n	G -:88,89,98,109,123,411;D:26_40,42_68,81,82,119,121,122,124_130,132_135,208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+46	n	A K:70,74_77,99,103_108,110,111;-:88,89,98,109,123,411;S:81,82,208_212;T:26_40,42_68,72,78,79,83,87,90,91,97,112,117_119,121,122,124_130,132_194,198_205;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+47	n	T -:88,89,98,109,123,411;L:72,79,83,87,90,91,97,112,136_194;Q:70,74_77,99,103_108,110,111;P:26_40,42_68,78,81,82,117_119,121,122,124_130,132_135,198_205,208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+48	n	V I:26_40,42_68,70,72,74_79,81_83,87,90,91,97,99,103_108,110_112,117_119,121,122,124_130,132_194,198_205;M:208_212;-:88,89,98,109,123,411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+49	n	S A:70,74_77,99,103_108,110,111;D:87,90,91,97,112,136_194;-:88,89,98,109,123,411;P:26_40,42_68,119,121,122,124_130,132_135;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+50	n	D S:87,90,91,97,112,136_194;-:88,89,98,109,123,411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;N:78,117,118,198_205,208_212
+51	n	Y G:70,74_78,99,103_108,110,111,117,118,198_205;-:88,89,98,109,123,411;R:87,90,91,97,112,136_194;W:26_40,42_68,72,79,81_83,119,121,122,124_130,132_135,208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+53	n	Y -:88,89,98,109,123,411;L:26_40,42_68,72,79,81_83,97,112,119,121,122,124_130,132_194;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;F:78,117,118,198_205
+54	n	W G:26_40,42_68,119,121,122,124_130,132_135;K:72,79,83;-:88,89,98,109,123,411;N:97,112,136_194;S:81,82;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+55	n	K E:87,90,91;G:70,72,74_79,83,99,103_108,110,111,117,118,198_205,208_212;-:88,89,98,109,123,411;S:26_40,42_68,81,82,97,112,119,121,122,124_130,132_194;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+56	n	I A:97,112,136_194;K:78,87,90,91,117,118,198_205,208_212;-:88,89,98,109,123,411;R:72,79,83;V:81,82;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+57	n	I -:88,89,98,109,123,411;L:26_40,42_68,72,79,81_83,97,112,119,121,122,124_130,132_194;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;V:208_212
+58	n	D E:70,74_77,87,90,91,99,103_108,110,111;K:208_212;-:88,89,98,109,123,411;N:26_40,42_68,81,82,119,121,122,124_130,132_135;T:72,79,83;Y:97,112,136_194;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+59	n	S A:87,90,91;-:88,89,98,109,123,411;N:70,74_77,99,103_108,110,111;R:26_40,42_68,81,82,119,121,122,124_130,132_135;Y:97,112,136_194;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+61	n	E -:88,89,98,109,123,411;G:26_40,42_68,81,82,119,121,122,124_130,132_135;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+62	n	A D:26_40,42_68,81,82,97,112,119,121,122,124_130,132_194;K:87,90,91;-:88,89,98,109,123,411;N:70,74_77,99,103_108,110,111;S:72,78,79,83,117,118,198_205,208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+63	n	Q Y:97,112,136_194;R:45;-:88,89,98,109,123,411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+64	n	F I:26_40,42_68,81,82,97,112,119,121,122,124_130,132_194;-:88,89,98,109,123,411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+65	n	T A:208_212;I:72,79,83,97,112,136_194;-:88,89,98,109,123,411;S:78,87,90,91,117,118,198_205;Y:26_40,42_68,70,74_77,81,82,99,103_108,110,111,119,121,122,124_130,132_135;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+66	n	G D:208_212;K:78,117,118,198_205;-:88,89,98,109,123,411;N:70,72,74_77,79,83,99,103_108,110,111;S:87,90,91;Y:26_40,42_68,81,82,97,112,119,121,122,124_130,132_194;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+67	n	A I:70,74_77,99,103_108,110,111;-:88,89,98,109,123,411;T:403;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+68	n	I F:70,74_77,99,103_108,110,111;K:26_40,42_68,81,82,119,121,122,124_130,132_135;-:88,89,98,109,123,411;L:72,78,79,83,87,90,91,117,118,198_205;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+69	n	D A:78,87,90,91,117,118,198_205;E:26_40,42_68,81,82,119,121,122,124_130,132_135;G:97,112,136_194;H:70,74_77,99,103_108,110,111;-:88,89,98,109,123,411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+70	n	L I:72,78,79,83,117,118,198_205,208_212;-:88,89,98,109,123,411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+71	n	L I:78,117,118,198_205,208_212;-:88,89,98,109,123,411;T:26_40,42_68,81,82,87,90,91,97,112,119,121,122,124_130,132_194;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+72	n	E -:88,89,98,109,123,411;D:70,74_77,87,90,91,99,103_108,110,111;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;N:26_40,42_68,81,82,97,112,119,121,122,124_130,132_194
+73	n	D E:78,87,90,91,117,118,198_205;K:26_40,42_68,81,82,97,112,119,121,122,124_130,132_194;-:88,89,98,109,123,411;Q:70,74_77,99,103_108,110,111;T:72,79,83;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+74	n	Y H:70,74_77,99,103_108,110,111;-:88,89,98,109,123,411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+75	n	K E:26_40,42_68,81,82,97,112,119,121,122,124_130,132_194;H:72,79,83;-:88,89,98,109,123,411;Q:78,87,90,91,117,118,198_205,208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+77	n	G A:70,74_77,99,103_108,110,111;-:88,89,98,109,123,411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+78	n	D G:87,90,91;-:88,89,98,109,123,411;E:26_40,42_68,70,72,74_79,81_83,99,103_108,110,111,117_119,121,122,124_130,132_135,198_205,208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+79	n	P K:26_40,42_68,70,72,74_79,81_83,99,103_108,110,111,117_119,121,122,124_130,132_135,198_205,208_212;-:88,89,98,109,123,411;N:87,90,91,97,112,136_194;S:69;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+80	n	I -:88,89,98,109,123,411;E:26_40,42_68,70,72,74_79,81_83,87,90,91,99,103_108,110,111,117_119,121,122,124_130,132_135,198_205,208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+83	n	E D:70,72,74_79,83,99,103_108,110,111,117,118,198_205,208_212;K:81,82;-:88,89,98,109,123,411;Q:26_40,42_68,119,121,122,124_130,132_135;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+85	n	K I:26_40,42_68,81,82,119,121,122,124_130,132_135;-:88,89,98,109,123,411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;V:70,74_77,99,103_108,110,111
+87	n	R K:26_40,42_68,70,72,74_79,81_83,87,90,91,99,103_108,110,111,117_119,121,122,124_130,132_135,198_205,208_212;-:88,89,98,109,123,411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+88	n	L -:88,89,98,109,123,411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;F:78,117,118,198_205
+89	n	M -:88,89,98,109,123,411;K:70,74_77,99,103_108,110,111;L:97,112,136_194;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+90	n	T -:88,89,98,109,123,411;E:87,90,91,97,112,136_194;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;D:78,117,118,198_205
+91	n	R K:97,112,136_194;-:88,89,98,109,123,411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+92	n	V I:72,78,79,83,87,90,91,117,118,198_205;-:88,89,98,109,123,411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+94	n	G E:70,74_77,99,103_108,110,111;-:88,89,98,109,123,411;S:78,117,118,198_205;R:97,112,136_194;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+97	n	Q H:26_40,42_68,119,121,122,124_130,132_135;-:88,89,98,109,123,411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+101	n	K -:88,89,98,109,123,411;E:26_40,42_68,70,72,74_79,81_83,97,99,103_108,110_112,117_119,121,122,124_130,132_194,198_205;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+102	n	K R:70,72,74_77,79,83,97,99,103_108,110_112,136_194;-:88,89,98,109,123,411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+104	n	I K:26_40,42_68,70,72,74_79,81_83,97,99,103_108,110_112,117_119,121,122,124_130,132_194,198_205;-:88,89,98,109,123,411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+105	n	D A:26_40,42_68,78,81,82,117_119,121,122,124_130,132_135,198_205;E:70,74_77,99,103_108,111;-:88,89,98,109,123,411;S:97,112,136_194;R:110;V:72,79,83;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+106	n	E K:70,74_77,99,103_108,110,111;-:88,89,98,109,123,411;L:78,117,118,198_205;Q:26_40,42_68,72,79,81_83,97,112,119,121,122,124_130,132_194;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+107	n	Y -:88,89,98,109,123,411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;N:110
+108	n	E D:87,90,91;K:210_212;-:88,89,98,109,123,411;R:208,209;T:110;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
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+111	n	K I:110;R:208_212;-:88,89,98,109,123,411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+112	n	K Q:97,112,136_194;-:88,89,98,109,123,411;E:70,74_78,99,103_108,111,117,118,198_205,208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+113	n	W -:88,98,109,123,411;M:89;L:70,72,74_77,79,83,99,103_108,111;N:110;R:208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
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+115	n	K A:97,112,136_194;E:26_40,42_68,81,82,119,121,122,124_130,132_135;-:88,89,98,109,123,411;L:208_212;Q:79,83;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+116	n	S A:87,90,91;K:26_40,42_68,70,72,74_79,81_83,99,103_108,111,117_119,121,122,124_130,132_135,198_205,208_212;-:88,89,98,109,123,411;N:97,110,112,136_194;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+117	n	S A:208_212;H:26_40,42_68,78,82,117_119,121,122,124_130,132_135,198_205;-:88,89,98,109,123,411;T:87,90,91,110;Y:70,72,74_77,79,81,83,97,99,103_108,111,112,136_194;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+118	n	N G:208_212;K:26_40,42_68,70,72,74_79,81_83,97,99,103_108,110_112,117_119,121,122,124_130,132_194,198_205;-:88,89,98,109,123,411;Y:87,90,91;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+119	n	K E:72,78,79,83,117,118,198_205;-:88,89,98,109,123,411;L:208_212;P:87,90,91;S:26_40,42_68,81,82,119,121,122,124_130,132_135;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+120	n	N E:26_40,42_68,70,72,74_77,79,81_83,97,99,103_108,110_112,119,121,122,124_130,132_194;I:78,117,118,198_205;-:88,89,98,109,123,411;S:208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+121	n	T D:87,90,91;-:88,89,98,109,123,411;N:26_40,42_68,70,72,74_79,81_83,97,99,103_108,110_112,117_119,121,122,124_130,132_194,198_205;P:208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+127	n	N K:26_40,42_68,70,72,74_79,81_83,87,90,91,97,99,103_108,110_112,117_119,121,122,124_130,132_194,198_205;-:88,89,98,109,123,208_212,411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+128	n	M -:88,89,123,208_212,411;K:26_40,42_68,119,121,122,124_130,132_135;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+129	n	L A:97,112,136_194;I:26_40,42_68,119,121,122,124_130,132_135;K:70,72,74_77,79,83,98,99,103_111;-:88,89,123,411;Q:78,117,118,198_205;T:81,82;V:208_212;Y:87,90,91;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+130	n	T A:70,74_77,98,99,103_111;K:26_40,42_68,81,82,119,121,122,124_130,132_135,208_212;-:88,123,411;N:97,112,136_194;S:87,89_91;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+132	n	H Y:208_212;-:88,123,411;D:26_40,42_68,70,72,74_77,79,83,98,99,103_111,119,121,122,124_130,132_135;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+133	n	K E:78,117,118,198_205;D:26_40,42_68,81,82,119,121,122,124_130,132_135,208_212;-:88,123,411;Q:72,79,83;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+134	n	Y -:88,123,411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;F:26_40,42_68,78,81,82,117_119,121,122,124_130,132_135,198_205
+135	n	N D:26_40,42_68,70,74_77,81,82,98,99,103_111,119,121,122,124_130,132_135;-:88,123,411;S:78,117,118,198_205;T:72,79,83;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+136	n	L I:72,79,81_83;-:88,123,411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;V:78,87,89_91,117,118,198_205
+137	n	Y -:88,123,411;E:72,79,83,97,112,136_194;G:70,74_77,98,99,103_111;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+138	n	N E:97,112,136_194;D:70,72,74_77,79,83,98,99,103_111,208_212;-:88,123,411;R:26_40,42_68,81,82,119,121,122,124_130,132_135;Y:87,89_91;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+139	n	L -:88,123,411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;F:208_212
+140	n	T S:81,82,97,112,136_194;-:88,123,411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+141	n	M -:123,411;K:26_40,42_68,119,121,122,124_130,132_135;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+142	n	N E:70,74_78,98,99,103_111,117,118,198_205;K:26_40,42_68,81,82,97,112,119,121,122,124_130,132_194,208_212;-:123,411;R:72,79,83;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+146	n	D -:123,411;E:26_40,42_68,72,78,79,81_83,87_91,97,112,117_119,121,122,124_130,132_194,198_205;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+147	n	I -:123,411;L:26_40,42_68,70,72,74_77,79,83,97_99,103_112,119,121,122,124_130,132_194;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+148	n	F H:26_40,42_68,81,82,119,121,122,124_130,132_135,208_212;-:123,411;Q:97,112,136_194;S:70,74_78,87_89,98,99,103_111,117,118,198_205;T:72,79,83,90,91;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+149	n	N E:72,79,83;D:97,112,136_194;H:208_212;K:70,74_78,98,99,103_111,117,118,198_205;-:123,411;Q:26_40,42_68,81,82,119,121,122,124_130,132_135;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+150	n	S A:97,112,136_194;-:123,411;L:70,74_77,98,99,103_111;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+151	n	L I:81,82;-:123,411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+152	n	K -:123,411;T:70,74_77,98,99,103_111;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+153	n	D E:26_40,42_68,81,82,119,121,122,124_130,132_135;G:208_212;K:70,74_77,98,99,103_111;-:123,411;S:72,79,83;R:97,112,136_194;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+155	n	V -:123,411;E:78,117,118,198_205;L:70,74_77,97_99,103_112,136_194;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+156	n	Y E:78,87_91,117,118,198_205,208_212;D:26_40,42_68,70,74_77,81,82,97_99,103_112,119,121,122,124_130,132_194;K:72,79,83;-:123,411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+157	n	Q E:26_40,42_68,78,117_119,121,122,124_130,132_135,198_205,208_212;D:72,79,81_83,97,112,136_194;K:87_91;-:123,411;N:70,74_77,98,99,103_111;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+159	n	N E:72,79,83;H:97,112,136_194;K:70,74_77,98,99,103_111;-:123,411;R:78,117,118,198_205;Y:208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+160	n	K -:123,411;L:70,74_77,98,99,103_111;N:87_91;S:26_40,42_68,81,82,119,121,122,124_130,132_135;R:97,112,136_194;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+161	n	E -:123,411;D:72,79,83;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;N:78,117,118,198_205
+163	n	K E:72,79,83;-:411;S:78,117,118;R:87_91,198_205;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+164	n	E D:87_91,97,112,136_194;I:72;H:208_212;K:70,74_77,83,98,99,103_111;-:411;N:26_40,42_68,119,121_130,132_135;R:79;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+165	n	I -:411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;V:78,117,118,198_205
+166	n	E Q:26_40,42_68,78,81,82,87_91,117_119,121_130,132_135,198_205,208_212;-:411;K:97,112,136_194;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+167	n	H E:78,198_205;D:97,112,136_194;F:46;-:411;L:117,118;N:72,79,83;S:26_40,42_45,47_68,70,74_77,87_91,98,99,103_111,119,121_130,132_135,208_212;Y:81,82;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+168	n	K Q:72,79,83,117,118;-:411;E:70,74_77,98,99,103_111;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+169	n	N E:78,81,82,198_205;H:72,79,83;-:411;Q:26_40,42_68,119,121_130,132_135;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+170	n	V E:87_91;H:72,79,83;K:26_40,42_68,81,82,119,121_130,132_135;-:411;P:70,74_77,98,99,103_111;S:97,112,117,118,136_194,208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+171	n	D K:78,198_205;-:411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
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+174	n	Q -:411;P:26_40,42_68,70,72,74_77,79,81_83,87_91,98,99,103_111,119,121_130,132_135;S:117,118;T:78,97,112,136_194,198_205,208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+175	n	F Y:26_40,42_68,70,74_78,81,82,87_91,98,99,103_111,119,121_130,132_135,198_205,208_212;-:411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+176	n	D -:411;N:81,82,97,112,136_194;S:70,74_78,98,99,103_111,198_205;T:72,79,83;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
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+182	n	K E:208_212;-:411;Q:87_91;R:26_40,42_68,81,82,119,121_130,132_135;T:70,74_77,98,99,103_111;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
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+184	n	T Y:70,74_77,98,99,103_111;-:411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
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+187	n	V I:26_40,42_68,70,74_77,81,82,87_91,98,99,103_111,117_119,121_130,132_135;-:411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+188	n	Y -:411;D:70,72,74_77,79,83,98,99,103_111;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
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+192	n	S A:78,198_205;C:26_40,42_68,81,82,117_119,121_130,132_135;D:70,74_77,98,99,103_111;-:411;N:72,79,83;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+193	n	E Q:70,74_77,98,99,103_111;-:411;K:72,79,83;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+194	n	I A:70,72,74_77,79,83,98,99,103_111;-:411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;V:78,198_205
+195	n	D Y:70,72,74_77,79,83,98,99,103_111;-:411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+196	n	T S:70,72,74_77,79,83,98,99,103_111;-:411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+197	n	L I:78,198_205;-:411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;V:70,72,74_77,79,83,87_91,98,99,103_111
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+199	n	V A:26_40,42_68,81,82,87_91,117_119,121_130,132_135;F:70,72,74_77,79,83,98,99,103_111;-:411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+200	n	T A:26_40,42_68,70,72,74_77,79,81_83,87_91,98,99,103_111,119,121_130,132_135;S:78,97,112,136_194,198_205;-:411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+201	n	Y -:411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;F:72,79,83
+202	n	Y V:70,72,74_77,79,83,98,99,103_111;-:411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;F:26_40,42_68,78,81,82,119,121_130,132_135,198_205
+203	n	A G:78,97,112,117,118,136_194,198_205,208_212;-:411;N:26_40,42_68,81,82,119,121_130,132_135;S:87_91;R:72,79,83;T:70,74_77,98,99,103_111;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+204	n	D H:26_40,42_68,78,81,82,87_91,119,121_130,132_135,198_205;-:411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+205	n	K A:70,74_77,98,99,103_111;E:87_91;D:78,198_205;-:411;N:81,82;Q:117,118;S:26_40,42_68,119,121_130,132_135;T:72,79,83;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+206	n	D K:78,87_91,198_205;-:411;N:117,118;Q:26_40,42_68,70,72,74_77,79,81_83,98,99,103_111,119,121_130,132_135;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+207	n	Y H:70,72,74_79,83,98,99,103_111,198_205;-:411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;F:87_91
+208	n	G K:70,72,74_77,79,83,98,99,103_111;R:117,118;-:411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+209	n	E I:87_91;H:26_40,42_68,81,82,119,121_130,132_135;-:411;Q:78,198_205;T:70,72,74_77,79,83,98,99,103_111;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+210	n	H E:70,72,74_77,79,83,98,99,103_111;-:411;N:26_40,42_68,81,82,117_119,121_130,132_135;S:78,198_205;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+212	n	K -:411;L:70,72,74_77,79,83,98,99,103_111;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+213	n	E -:411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;N:70,74_77,98,99,103_111
+215	n	R K:72,79,83;-:411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+216	n	A -:411;M:117,118;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+218	n	L I:70,74_77,98,99,103_111;M:117,118;-:411;V:72,79,83;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+220	n	L I:26_40,42_68,81,82,87_91,119,121_130,132_135,208_212;-:411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+221	n	I -:411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;V:72,79,83
+222	n	L I:78,198_205;-:411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+224	n	D -:411;E:78,198_205,208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+225	n	T A:26_40,42_68,119,121_130,132_135;E:70,72,74_79,83,98,99,103_111,198_205,208_212;-:411;S:117,118;V:81,82,87_91;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+226	n	D H:87_91;K:26_40,42_68,70,74_78,81,82,98,99,103_111,119,121_130,132_135,198_205,208_212;-:411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+227	n	N K:72,79,83,208_212;-:411;D:26_40,42_68,70,74_77,81,82,98,99,103_111,119,121_130,132_135;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+228	n	P A:78,198_205;-:411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+229	n	H F:78,198_205;I:70,74_77,81,82,98,99,103_111;-:411;N:87_91,117,118,208_212;V:26_40,42_68,119,121_130,132_135;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+230	n	K R:26_40,42_68,70,72,74_79,81_83,87_91,98,99,103_111,117_119,121_130,132_135,198_205,208_212;-:411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+231	n	I -:411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;V:69,70,74_77,98,99,103_111
+232	n	T S:72,79,83;-:411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+234	n	E Q:70,74_77,98,99,103_111;-:411;K:79;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+236	n	I -:411;T:70,74_77,98,99,103_111;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+237	n	K -:411;R:26_40,42_68,81,82,119,121_130,132_135,208_212;E:70,72,74_77,79,83,98,99,103_111;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+238	n	K -:411;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;N:78,79,117,118,198_205
+240	n	M K:127,128;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+241	n	I M:26_40,42_68,81,82,87_91,117_119,121_130,132_135;L:79;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;T:208_212
+242	n	D Y:78,198_205;K:70,72,74_77,79,83,98,99,103_111,117,118;E:87_91;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+245	n	N E:70,72,74_77,79,83,98,99,103_111;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+248	n	I ?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;V:87_91
+249	n	D E:72,79,83;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+253	n	M I:70,72,74_77,79,83,98,99,103_111,117,118;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+254	n	E D:26_40,42_68,81,82,117_119,121_130,132_135;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+256	n	K G:72,79,83,208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;N:26_40,42_68,78,81,82,87_91,117_119,121_130,132_135,198_205
+257	n	Q M:26_40,42_68,81,82,119,121_130,132_135;L:70,72,74_77,79,83,98,99,103_111;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+259	n	R K:72,79,83;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+261	n	N E:78,198_205;D:72;G:79,83;K:97_99,103_112,136_194;L:26_40,42_68,81,82,119,121_130,132_135;Q:70,74_77;T:87_91,117,118;V:208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+262	n	S H:70,74_77,98,99,103_111;K:208_212;N:26_40,42_68,72,78,79,81_83,119,121_130,132_135,198_205;T:87_91,117,118;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+264	n	T K:87_91,117,118;S:81,82;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+265	n	K R:70,74_77,98,99,103_111;S:72,79,83;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+266	n	Y ?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;F:26_40,42_68,78,119,121_130,132_135,198_205
+267	n	D ?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;N:26_40,42_68,81,82,97,112,119,121_130,132_194,208_212
+268	n	P W:78,198_205;S:72,79,83;G:70,74_77,98,99,103_111;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+269	n	T D:78,81,82,198_205;N:26_40,42_68,87_91,119,121_130,132_135,208_212;S:72,79,83;R:117,118;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+270	n	K I:26_40,42_68,81,82,87_91,117_119,121_130,132_135,208_212;T:97,112,136_194;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+272	n	N H:72,83;S:208_212;D:26_40,42_68,70,74_79,81,82,87_91,98,99,103_111,117_119,121_130,132_135,198_205;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+273	n	F Y:26_40,42_68,70,72,74_79,81_83,87_91,97_99,103_112,119,121_130,132_194,198_205;P:208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+274	n	K H:70,74_77,98,99,103_111;R:78,198_205;T:26_40,42_68,81,82,87_91,117_119,121_130,132_135;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+275	n	E D:208_212;H:79;K:70,74_77,87_91,98,99,103_111,117,118;N:26_40,42_68,72,78,81_83,119,121_130,132_135,198_205;T:97,112,136_194;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+276	n	K -:70,72,74_77,79,83,98,99,103_111,208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;N:97,112,136_194
+277	n	S K:87_91,117,118;-:70,72,74_77,79,83,98,99,103_111,208_212;L:78;P:26_40,42_68,81,82,119,121_130,132_135,198_205;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+278	n	E -:70,72,74_77,79,83,98,99,103_111,208_212;D:97,112,136_194;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+279	n	N Y:79;H:70,72,74_77,83,98,99,103_111;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+280	n	K R:26_40,42_68,79,81,82,119,121_130,132_135;S:72,83;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+281	n	P A:78,81,82,198_205;E:72,79,83,87_91,208_212;D:26_40,42_68,70,74_77,98,99,103_111,119,121_130,132_135;S:117,118;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+282	n	N H:78;G:70,72,74_77,79,83,98,99,103_111;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+284	n	D E:72,78,79,83,198_205;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+285	n	K A:70,72,74_79,83,98,99,103_111,117,118,198_205,208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+288	n	E K:26_40,42_68,70,72,74_77,79,81_83,87_91,98,99,103_111,117_119,121_130,132_135,198_205,208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+291	n	K R:26_40,42_68,70,72,74_77,79,81_83,87_91,98,99,103_111,119,121_130,132_135,208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+292	n	K G:198_205;E:26_40,42_68,70,72,74_77,79,81_83,87_91,98,99,103_111,119,121_130,132_135,208_212;D:117,118;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+294	n	V I:27,28,47_68;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+295	n	K A:26_40,42_68,83,98,99,103_111,117_119,121_130,132_135,208,209;E:87_91,210_212;D:79,81,82,198_205;S:70,74_77;T:72;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+296	n	E K:70,74_77,79,81,82,87_91,98,99,103_111,117,118,198_205,208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;N:26_40,42_68,72,83,119,121_130,132_135
+298	n	D ?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;N:72
+299	n	E A:78;D:72,79,81,82,97,112,136_194,198_205,208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;N:117,118
+303	n	N K:78,97,112,136_194,210_212;T:26_40,42_68,70,72,74_77,79,81_83,117_119,121_130,132_135,198_205;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+304	n	K R:26_40,42_68,119,121_130,132_135;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+308	n	K T:117,118;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;N:26_40,42_68,78,79,119,121_130,132_135,198_205
+310	n	E G:26_40,42_68,70,72,74_77,79,81_83,97_99,112,117_119,121_130,132_194,198_205,210_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;D:78
+312	n	T A:117,118;S:26_40,42_68,78,79,83,119,121_130,132_135,198_205;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+313	n	V E:26_40,42_68,79,83,97_99,112,117_119,121_130,132_194,198_205,210_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+316	n	S A:78,117,118;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+317	n	P ?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;H:78,117,118
+318	n	V I:69;F:87_91;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+323	n	K ?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;N:79,83
+326	n	E K:69;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+327	n	E D:79,81_83;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+330	n	L A:70,72,74_77,97_99,136_194,198_205,210_212;S:78,79,81_83,103_111;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+333	n	V F:79,81_83,103_111;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+334	n	G S:70,72,74_77;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;D:78,79,81_83,97_99,103_111,136_194,198_205,210_212
+335	n	N E:70,72,74_77;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+336	n	Q K:70,72,74_77;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+337	n	Q ?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;V:70,72,74_77
+338	n	E D:70,72,74_78;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+339	n	V D:26_40,42_68,78,112,117_119,121_130,132_135;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+340	n	K Q:70,72,74_77;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+341	n	T I:26_40,42_68,103_111,119,121_130,132_135;-:78;E:70,72,74_77;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+343	n	A -:78;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;V:26_40,42_68,70,72,74_77,103_112,117_119,121_130,132_135
+344	n	G -:78;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;D:103_112,117,118
+345	n	K -:72,78;T:26_40,42_68,70,74_77,119,121_130,132_135;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+346	n	A -:78;T:26_40,42_68,70,72,74_77,119,121_130,132_135;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+347	n	E -:78;D:69;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+349	n	T A:26_40,42_68,70,72,74_78,119,121_130,132_135;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+350	n	T P:26_40,42_68,70,72,74_77,119,121_130,132_135;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+351	n	Q -:87_91;L:26_40,42_68,70,72,74_77,119,121_130,132_135;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+353	n	V I:26_40,42_68,70,74_77,119,121_130,132_135;-:87_91;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+360	n	I L:70,74_77;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+363	n	E I:70,74_77;G:26_40,42_69,72,78,79,81_83,87_91,97_99,103_112,117_119,121_130,132_194,198_205,208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+364	n	T G:70,74_77;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+365	n	I T:70,74_77;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+366	n	Y Q:26_40,42_68,70,74_77,119,121_130,132_135;T:81_83,87_91,103_112,117,118,136_194,208,209;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+369	n	T I:26_40,42_68,70,74_77,81_83,87_91,103_112,117_119,121_130,132_194,208,209;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+374	n	E D:69,70,74_77,81,82,87_91,97_99,112,117,118,198_205,210_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+376	n	P L:26_40,42_68,72,81,82,119,121_130,132_135;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+383	n	L ?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;V:136_194
+386	n	E ?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;V:97_99,198_205,210_212
+390	n	G ?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;D:134
+394	n	L P:26_40,42_70,72,74_79,81_83,87_91,97_99,103_112,117_119,121_130,132_135,198_205,210_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+398	n	Q H:81,82;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+399	n	N S:79,83,97_99,117,118,136_194,198_205,210_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+400	n	R G:79,83,97_99,117,118,136_194,198_205,210_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+405	n	D ?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;N:69,81,82,97_99,117,118,136_194,198_205,210_212
+409	n	Q H:81,82;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;N:69,97_99,117,118,136_194,198_205,210_212
+411	n	T P:81,82,97_99,117,118,136_194,198_205,210_212;S:70,74_78;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+412	n	T ?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;L:69,70,74_78,81,82,97_99,117,118,136_194,198_205,210_212
+413	n	P A:81,82;T:69,70,74_78,87_91,97_99,117,118,136_194,198_205,210_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+414	n	N D:117,118;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+415	n	P S:26;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+418	n	E K:26_40,42_68,72,79,81,82,119,121_130,132_135;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+420	n	L I:26_40,42_68,79,81,82,119,121_130,132_135;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+422	n	G S:112;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+423	n	S ?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;N:26_40,42_68,79,119,121_130,132_135
+425	n	S T:26_40,42_68,79,119,121_130,132_135;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+439	n	K Q:87_91;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+441	n	I T:26_40,42_68,72,87_91,97_99,103_111,117_119,121_130,132_194,198_205,208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+455	n	T S:69,72,98,99,103_112,198_205;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+462	n	Q H:26_40,42_69,72,98,99,103_112,119,121_130,132_135,198_205;K:117,118;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+464	n	G P:26_40,42_69,72,98,99,103_112,119,121_130,132_135,198_205;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+465	n	P A:26_40,42_69,72,98,99,103_112,119,121_130,132_135,198_205;L:233;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+493	n	F Y:39;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+494	n	G R:39,81,82;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+506	n	E -:39;K:79,374;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+515	n	N H:69,70,72,74_77,79,136_194;-:39;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+516	n	Q A:70,72,74_77,79,136_194;-:39;G:69;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+517	n	D -:39;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;N:69,70,72,74_77,79,136_194
+519	n	T Q:69,70,72,74_77,79,136_194;-:39;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+521	n	S -:39;T:87_91,97_99,103_112,117,118,198_205,208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+528	n	Q Y:136_142,161_172,174_194;-:39;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+529	n	N K:136_142,161_172,174_194;-:39;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+530	n	K -:39;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;N:34,123
+531	n	P Q:34,123;-:39;A:83,98,99,198_205;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+532	n	S A:34,123;R:143;-:39;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+533	n	E Q:143;-:39;K:34,69,72,78,87_91,97_99,103_112,123,144_160,173,198_205,208_212;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+535	n	N K:130;-:34,39,122,123,143,240,245,258_261,278,289,373,389,403;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+536	n	A R:130;-:34,39,122,123,143,240,245,258_261,278,289,373,389,403;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+537	n	Y -:34,39,122,123,143,240,245,258_261,278,289,373,389,403;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;N:130
+538	n	N K:130;-:34,39,119,122,123,143,240,245,258_261,278,289,373,389,403;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+539	n	V C:130;-:34,39,119,122,123,143,240,245,258_261,278,289,373,389,403;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+540	n	T I:130;-:34,39,119,122,123,143,240,245,258_261,278,289,373,389,403;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+541	n	T Q:130;-:34,39,119,122,123,143,240,245,258_261,278,289,373,389,403;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+542	n	H R:130;-:34,39,119,122,123,143,240,245,258_261,278,289,373,389,403;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;N:112
+543	n	A G:72,81,82,140,144_161,173,208,209;-:34,39,119,122,123,143,240,245,258_261,278,289,373,389,403;N:130;Q:112;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+544	n	N -:34,39,119,122,123,143,240,245,258_261,278,289,373,389,403;D:112;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+545	n	G R:103,104,109,110;-:34,39,119,122,123,130,143,240,245,258_261,278,289,373,389,403;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+546	n	Q -:34,39,119,122,123,130,143,240,245,258_261,278,289,373,389,403;T:112;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+548	n	S -:34,39,119,122,123,130,143,240,245,258_261,278,289,373,389,403;T:112;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+551	n	A -:34,39,119,122,123,130,143,240,245,258_261,278,289,373,389,403;T:175_194;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+554	n	T -:34,39,119,122,123,143,240,245,258_261,278,289,373,389,403;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;N:244
+555	n	Q C:130;-:34,39,119,122,123,143,240,245,258_261,278,289,373,389,403;T:244;Y:26_33,35_38,40,42_44,46,49,54,55,72,81,82,87_91,97_99,112,117,118,124_127,129,132,133,135,198_205,215_219,239;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
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+558	n	P A:244;-:34,39,119,122,123,143,240,245,258_261,278,289,373,389,403;S:227;T:275;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+559	n	S X:30;-:34,39,119,122,123,143,240,245,258_261,278,289,373,389,403;K:244,275;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
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+561	n	T X:30;R:130;-:34,39,119,123,143,244,245,275;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
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+566	n	V X:30;-:34,39,119,123,130,143,244,245,275;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+567	n	T X:30;-:34,39,119,123,130,143,244,245,275;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+568	n	T X:30;-:34,39,119,123,130,143,244,245,275;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+569	n	H N:70;-:34,39,119,123,130,143,244,245,275;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;X:30
+570	n	A G:74_77,83,87_91;-:34,39,119,123,130,143,244,245,275;Q:70;X:30;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+571	n	N X:30;-:34,39,119,123,130,143,244,245,275;D:70;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
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+573	n	Q X:30;-:34,39,119,123,130,143,244,245,275;T:70;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
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+575	n	S X:30;-:34,39,119,123,130,143,244,245,275;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
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+580	n	P I:130;-:34,119,123,143,244,245,275;L:246,247,249_256,283_289,291_303,305_323,325_333,335_338,340_345,347_356,375,376,378,380,382_388,390_396,398_407,409,411_439,441_446,448_450,452_460;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+581	n	T Q:30,130,244,275;-:34,39,119,123,143,245;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;N:263
+582	n	Q H:82;-:34,39,119,123,143,245;R:30,130,244,275;T:263;Y:69,70,72,83,87_91,98,99,103_111,136_142,144_194,208,209,281,381;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
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+584	n	K D:30,130;-:34,39,119,123,143,245;N:244,275;S:258_261,373;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
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+586	n	S A:258_261,373;C:244,275;K:263;-:34,39,119,123,143,245;R:122;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+587	n	E K:26_29,31_33,35_38,40,42_68,70,74_79,81_83,103_112,121,124_129,132_142,144_194,240,244,258_261,275,278,373;R:30,122,130,263;-:34,39,119,123,143,245;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+588	n	T W:30,130,244,275;-:34,39,70,119,123,143,258_261,263,278,373;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451;N:122
+589	n	N E:122;H:30,130;-:34,39,70,119,123,143,258_261,263,278,373;S:244,275;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+590	n	A S:30,130,244,275;R:122;-:34,39,70,119,123,143,258_261,263,278,373;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+591	n	Y I:30,122,130,244,275;-:34,39,70,119,123,143,258_261,263,278,373;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+592	n	N I:30,130,244,275;-:34,39,70,119,122,123,143,258_261,263,278,373;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
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+594	n	T Q:34,123,258_261,278,373;R:30,130,244,275;-:39,119,122,143,263;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
+595	n	T M:70,123,258_261,278,373;S:30,130,244,275;-:39,119,122,143,263;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
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+600	n	T Q:30,130,281,381;K:244,275;-:34,39,70,119,122,123,143,258_261,263,278,373;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
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+606	n	R C:275;-:34,39,70,119,122,123,258_261,278,373;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
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+609	n	K Q:281,381;-:30,34,39,70,119,122,123,130,143,244,258_261,263,275,278,373;?:0_25,41,71,73,80,84_86,92_96,100_102,113_116,120,131,195_197,206,207,214,228,232,248,257,280,282,290,304,324,334,339,346,371,377,379,397,408,440,447,451
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+655	n	L A:3;-:8,9,15,16,20,38,51,78,79,81_83,122,126,135_137,170_172,175,176,226,227,240,258,264_267,269,271,283,284,296,303,326,357,358,360_363,379,382,454;?:0_2,45,49,119_121,123,130_133
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+668	n	Y I:8,9;-:15,16,20,38,51,78,79,81_83,122,126,135_137,170_172,175,176,226,227,240,258,264_267,269,271,283,284,296,303,326,357,358,360_363,379,382,454;?:0_2,45,49,119_121,123,130_133
+669	n	T I:4_7,10_14;-:15,16,20,38,51,78,79,81_83,122,126,135_137,170_172,175,176,226,227,240,258,264_267,269,271,283,284,296,303,326,357,358,360_363,379,382,454;?:0_2,45,49,119_121,123,130_133;F:8,9
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+>SAR0318	4336	sbnA	364666	363839	-
+-49	p	G ?:0_2,51,110,118;T:70_78,81_84
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+-47	p	A G:3,112;?:0_2,8_12,39,53,79,81,82,119,125,136,213
+-46	p	A C:3,69;?:0_2,8_12,39,53,79,81,82,119,125,136,213
+-45	p	A G:85_91;?:0_2,8_12,39,53,79,81,82,119,125,136,213
+-44	p	A C:4_7,13_38,40_52,54_68,85_91;?:0_2,8_12,39,53,79,81,82,119,125,136,213
+-37	p	T A:3;-:69;?:0_2,8_12,39,53,79,81,82,119,125,136,213
+-36	p	A C:3;-:69;?:0_2,8_12,39,53,79,81,82,119,125,136,213
+-34	p	G A:3;-:69;?:0_2,8_12,39,53,79,81,82,119,125,136,213
+-33	p	A -:69;T:15_38,40_52,54_68,85_91;?:0_2,8_12,39,53,79,81,82,119,125,136,213
+-32	p	C -:69;T:85_91;?:0_2,8_12,39,53,79,81,82,119,125,136,213
+-28	p	A T:70,85_91;?:0_2,8_12,39,53,79,81,82,119,125,136,213
+-27	p	T A:3;?:0_2,8_12,39,53,79,81,82,119,125,136,213
+-23	p	T A:15_38,40_52,54_68,85_91;?:0_2,8_12,39,53,79,81,82,119,125,136,213
+-8	p	A C:3;?:0_2,8_12,39,53,79,81,82,119,125,136,213
+-5	p	A T:69;?:0_2,8_12,39,53,79,81,82,119,125,136,213
+-4	p	G A:4_7,13_38,40_52,54_68,85_91;C:3,69;?:0_2,8_12,39,53,79,81,82,119,125,136,213
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+-6	p	T C:78,98,99,120_149,151_194;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+-5	p	A T:195_197;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+-4	p	T A:3,69,73_77,87_91,102,113_118,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+-1	p	C T:15_19,21_25;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+0	p	A -:6,7,69,73_77,87_91,102,113_118,207;G:15_19,21_25,78,98,99,101,120_149,151_194;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+2	n	R S:136,137;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+3	n	E G:133;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+27	n	N Y:69,73_77,102,113_118;S:207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+28	n	G E:3;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+29	n	Q E:69,71_77,80_82,84,102_108,111,113_118,208,209;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+35	n	T A:15_19,21_52,54_68,195_197;G:3,69,73_77,102,113_118;K:71,72,80_84,101,103_108,111,208,209;S:6,7,78,98,99,120_149,151_194;V:207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+37	n	Q A:207;E:15_19,21_52,54_68,195_197;I:6,7,78,98,99,120_149,151_194;H:69,73_77,102,113_118;P:71,72,80_84,101,103_108,111,208,209;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+38	n	K ?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;N:6,7,69,73_78,98,99,102,113_118,120_149,151_194
+39	n	V P:15_19,21_45,47_52,54_68,87_91,195_197;T:46,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+40	n	S E:6,7;D:78,98,99,120_149,151_194;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;N:3,69,71_77,80_84,101_108,111,113_118,207_209
+41	n	T A:71,72,80_84,101,103_108,111,208,209;K:6,7,69,73_77,102,113_118;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;N:78,98,99,120_149,151_194
+42	n	N I:3;Q:6,7,78,98,99,120_149,151_194;T:69,71_77,80_84,101_108,111,113_118,207_209;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+43	n	Q E:6,7,69,71_78,80_84,98,99,101_108,111,113_118,120_149,151_194,207_209;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+44	n	E K:6,7,78,98,99,120_149,151_194;S:207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+45	n	S Q:6,7,78,98,99,120_149,151_194;I:71,72,80_84,101,103_108,111,208,209;T:3,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+46	n	K E:69,73_77,102,113_118;N:6,7,78,98,99,120_149,151_194;S:207;T:87_91;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+47	n	A D:3,78;N:6,7,98,99,120_149,151_194,207;T:69,73_77,102,113_118;V:15_19,21_52,54_68,84,103_108,111,208,209;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+48	n	V A:69,73_77;E:83,101;G:71,72,84,103_108,111,208,209;K:80_82;-:207;T:102,113_118;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+49	n	S A:3;T:87_91;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;N:6,7,78,98,99,120_149,151_194
+50	n	Q H:87_91;I:207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+51	n	T A:6,7,78,98,99,120_149,151_194;I:102,113_118;L:69,73_77;P:3,71,72,80_84,101,103_108,111,208,209;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+52	n	E A:6,7;N:207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;V:3,69,71_78,80_84,98,99,101_108,111,113_118,120_149,151_194,208,209
+53	n	Q K:207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+54	n	N P:6,7,78,98,99,120_149,151_194;S:80_82;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+55	n	S Q:6,7,78,98,99,120_149,151_194;E:207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;N:3,69,71_77,80_84,101_108,111,113_118,208,209
+56	n	K Q:71,72,80_84,101,103_108,111,208,209;M:207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;N:6,7,78,98,99,120_149,151_194
+57	n	E K:207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;N:6,7,78,98,99,120_149,151_194
+58	n	T A:3;I:6,7,69,73_77,102,113_118,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;V:71,72,80_84,101,103_108,111,208,209
+59	n	K S:3,71,72,80_84,101,103_108,111,208,209;T:207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;N:6,7,69,73_78,98,99,102,113_118,120_149,151_194
+60	n	A S:3,71,72,80_84,101,103_108,111,208,209;T:6,7,15_19,21_52,54_68,78,87_91,98,99,120_149,151_197;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;D:207
+61	n	A E:71,72,84,103_108,111,208,209;D:3,69,73_77,80_83,101,102,113_118;P:6,7;S:78,98,99,120_149,151_194,207;V:15_19,21_52,54_68;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+62	n	E Q:69,71_77,80_84,101_108,111,113_118,208,209;K:6,7,78,98,99,120_149,151_194;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+63	n	S A:6,7;N:207;T:3,69,71_77,80_84,101_108,111,113_118,208,209;V:78,98,99,120_149,151_194;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+64	n	S G:207;K:3,69,71_77,80_84,101_108,111,113_118,208,209;N:15_19,21_52,54_68,195_197;P:6,7,78,98,99,120_149,151_194;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+65	n	K A:6,7,78,98,99,120_149,151_194;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+67	n	F T:69,73_77,102,113_118;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+68	n	V I:6,7;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+69	n	N K:6,7,15_19,21_52,54_69,73_78,80_82,98,99,102,113_118,120_149,151_197,207;T:3;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+71	n	D ?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;N:6,7,78,98,99,120_149,151_194
+72	n	P S:3;D:6,7,78,98,99,120_149,151_194;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;T:15_19,21_52,54_68,195_197
+74	n	K ?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;N:207
+77	n	A D:3,6,7,69,73_79,87_91,98,99,102,113_118,120_149,151_194,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+78	n	Q K:207;T:6,7,78,98,99,120_149,151_194;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+79	n	K S:6,7,78,79,98,99,120_149,151_194;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+80	n	V I:6,7,26_52,54_68,78,98,99,120_149,151_197;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+81	n	T Q:6,7,78,98,99,120_149,151_194;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+85	n	L M:84,87_91;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+86	n	P S:45;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+87	n	N S:3,71,72,103_108,111,208,209;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+88	n	H Q:6,7,69,73_83,98,99,101,102,113_118,120_149,151_197;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+89	n	I Y:15_19,21_52,54_68,207;L:69,73_77,79_83,101,102,113_118,195_197;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;F:6,7,78,98,99,120_149,151_194
+90	n	I ?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;V:15_19,21_52,54_68
+92	n	L M:3,71,72,103_108,111,208,209;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+93	n	N S:69,73_77,79_83,101,102,113_118,195_197,207;T:6,7,15_19,21_52,54_68,78,98,99,120_149,151_194;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+94	n	I ?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;V:15_19,21_52,54_68,207
+96	n	G K:6,7,69,73_83,98,99,101,102,113_118,120_149,151_197;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+98	n	S D:6,7,69,73_83,98,99,101,102,113_118,120_149,151_197;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;N:423
+99	n	A ?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;V:6,7,69,73_84,87_91,98,99,101,102,113_118,120_149,151_197
+100	n	D S:6,7,69,73_79,83,98,99,101,102,113_118,120_149,151_197;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+102	n	V F:69,73_77,102,113_118;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+103	n	E D:3,69,71_77,83,84,87_91,101_108,111,113_118,195_197,207_209;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+104	n	G D:6,7,78,79,98,99,120_149,151_194;N:15_19,21_52,54_68;S:69,73_77,83,101,102,113_118,195_197;T:80_82;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+105	n	G S:6,7,78,79,98,99,120_149,151_194;E:83,84,87_91,101,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+106	n	Y D:6,7,78_82,87_91,98,99,120_149,151_194;G:15_19,21_52,54_68,83,84,101;N:69,71_77,102_108,111,113_118,207_209;S:3;T:195_197;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+107	n	G S:3,6,7,69,71_79,83,84,87_91,98,99,101_108,111,113_118,120_149,151_197,207_209;L:15_19,21_52,54_68,80_82;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+108	n	D E:69,73_77,83,102,113_118;G:15_19,21_52,54_68,101;N:80_82;S:6,7,78,79,84,87_91,98,99,120_149,151_194;T:207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+109	n	F L:3,69,71_77,80_82,102_108,111,113_118,208,209;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+110	n	I ?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;V:3,6,7,15_19,21_52,54_69,71_82,98,99,102_108,111,113_118,120_149,151_197,208,209
+111	n	T E:15_19,21_52,54_68;M:6,7,69,73_79,98,99,102,113_118,120_149,151_197;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;F:3,71,72,103_108,111,208,209
+112	n	A S:6,7,69,73_79,83,84,87_91,98,99,101,102,113_118,120_149,151_197,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+113	n	N K:69,73_77,83,84,87_91,101,102,113_118,195_197;D:3,6,7,71,72,78,79,98,99,103_108,111,120_149,151_194,208,209;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
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+115	n	K E:207;D:6,7,69,73_84,87_91,98,99,101,102,113_118,120_149,151_197;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;N:3,71,72,103_108,111,208,209
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+311	n	A T:113_115;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+314	n	K R:73_77;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+316	n	D E:102,113_118;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+318	n	T A:71,72,84,101,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+320	n	V L:26_52,54_68;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+321	n	E K:71,72,84,101,102,113_118,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;N:3,6,7,15_19,21_52,54_69,73_82,87_91
+322	n	K E:71,72,84,101,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+324	n	K ?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;N:71,72,84,101,102,113_118,207
+325	n	V I:3,87_91;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+327	n	K D:6,7,26_52,54_69,73_82,87_91;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+328	n	D ?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;N:6,7,26_52,54_69,73_82,87_91,102,113_118
+329	n	V D:102,113_118;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+330	n	K E:102,113_118;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;N:71,72,84,101,207
+332	n	D E:71,72,101,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;V:84
+333	n	I L:3,6,7,15_19,21_52,54_69,71_84,87_91,98,99,101_108,111,113_118,120_149,151_197,207_209;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+334	n	H Q:78_82,102,113_118;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+345	n	T I:175_194;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+346	n	E K:84,101;D:6,7,26_52,54_69,73_82,87_91,102,113_118,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+347	n	K Q:71,72,84,101,103_108,111,208,209;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+355	n	Q E:3,6,7,15_19,21_52,54_69,73_83,87_91,98,99,102,113_118,120_149,151_197,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+359	n	E ?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;V:3,6,7,15_19,21_52,54_69,73_83,87_91,98,99,102,113_118,120_149,151_197,207
+361	n	T K:3,6,7,15_19,21_52,54_69,73_83,87_91,98,99,102,113_118,120_149,151_197,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+366	n	F Y:71,72;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+374	n	Y D:3,6,7,15_19,21_52,54_69,73_77,87_91,98,99,120_149,151_197;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+376	n	D E:3,6,7,15_19,21_52,54_69,71_84,87_91,98,99,101,102,113_118,120_149,151_197,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+379	n	D E:3,6,7,15_19,21_52,54_69,71_84,87_91,98,99,101,102,113_118,120_149,151_197,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+380	n	A S:15_19,21_25;G:3,98,99,120_149,151_197;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+382	n	L E:3,98,99,120_149,151_197;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+386	n	I L:3,6,7,15_19,21_52,54_69,73_82,87_91,98,99,102,113_118,120_149,151_197,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+389	n	D ?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;N:6,7,26_52,54_69,73_82,87_91,102,113_118,207
+391	n	N K:3,6,7,15_19,21_52,54_69,71_82,84,87_91,98,99,102,113_118,120_149,151_197,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+393	n	K E:3,6,7,15_19,21_52,54_69,73_82,87_91,98,99,102,113_118,120_149,151_197,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+395	n	S ?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;N:207
+398	n	A S:6,7,26_52,54_69,73_82,87_91,102,113_118,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;V:3,15_19,21_25,98,99,120_149,151_197
+399	n	E H:6,7,26_52,54_69,73_82,87_91,102,113_118,207;D:3,15_19,21_25,98,99,120_149,151_197;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+400	n	K Q:3;H:15_19,21_25,98,99,120_149,151_197;G:6,7,26_52,54_69,73_82,87_91,102,113_118,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+410	n	T K:6,7,26_52,54_69,73_82,87_91,102,113_118,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+414	n	A T:3,6,7,15_19,21_52,54_69,73_77,87_91,98,99,120_149,151_197;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+417	n	K D:3,6,7,15_19,21_52,54_69,73_82,87_91,98,99,102,113_118,120_149,151_197;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;N:207
+420	n	T S:71,72;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+422	n	D K:6,7,15_19,21_25,69,78_82;E:3,71,72,84,87_91,98,99,103_108,111,120_149,151_197,208,209;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+423	n	L P:102,113_118;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+425	n	H S:6,7,15_19,21_52,54_69,73_82,87_91,98,99,102,113_118,120_149,151_197,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+426	n	Q E:15_19,21_25;G:98,99,120_149,151_197;K:3,71,72,102,113_118;N:6,7,26_52,54_69,73_82,87_91,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+427	n	G E:6,7,26_52,54_69,73_82,87_91,207;K:15_19,21_25;-:102,113_118;N:98,99,120_149,151_197;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+428	n	F L:102,113_118;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+430	n	S T:102,113_118;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;F:43,44
+432	n	Y E:6,7,26_52,54_69,73_82,87_91,102,113_118,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;N:3,15_19,21_25,98,99,120_149,151_197
+435	n	V I:3,6,7,15_19,21_52,54_69,73_82,87_91,98,99,102,113_118,120_149,151_197,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+436	n	Y E:6,7,26_52,54_69,73_82,87_91,102,113_118,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+438	n	S T:6,7,26_52,54_69,73_82,87_91,102,113_118,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+441	n	E Q:6,7,26_52,54_69,73_82,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+443	n	K A:3,6,7,15_19,21_52,54_69,73_82,87_91,98,99,102,113_118,120_149,151_197,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+444	n	E D:3,6,7,15_19,21_52,54_69,73_82,87_91,98,99,102,113_118,120_149,151_197,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+448	n	E D:3,6,7,15_19,21_52,54_69,73_82,87_91,98,99,102,113_118,120_149,151_197,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+450	n	K R:3,15_19,21_25,69,78_82,87_91,98,99,102,113_118,120_149,151_197,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+451	n	L M:3,15_19,21_25,69,78_82,98,99,102,113_118,120_149,151_197,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+456	n	A -:158;T:54,55;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+458	n	H Y:6,7,26_52,54_69,73_82,87_91,102,113_118,207;-:158;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+461	n	H Y:6,7,26_52,54_69,73_82,87_91,102,113_118,207;-:158;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+468	n	Y -:158;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;F:6,7,26_52,54_69,73_82,87_91,102,113_118,207
+470	n	V -:158;T:3,6,7,15_19,21_52,54_69,73_82,87_91,98,99,102,113_118,120_149,151_157,159_197,207;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+471	n	Q -:158;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;N:3,6,7,15_19,21_52,54_69,73_82,87_91,98,99,102,113_118,120_149,151_157,159_197,207
+472	n	G -:158;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;D:6,7,26_52,54_69,73_82,87_91,102,113_118,207
+473	n	N -:158;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368;F:3,6,7,15_19,21_52,54_69,73_82,87_91,98,99,102,113_118,120_149,151_157,159_197,207
+475	n	S I:3,6,7,15_19,21_52,54_69,73_82,87_91,98,99,102,113_118,120_149,151_157,159_197,207;-:158;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+476	n	T A:177;-:158;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+483	n	E -:158;K:345_354;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+489	n	T I:87_91;K:15_19,21_25,69,73_79,84,98,99,101,103_108,111,120_149,151_157,159_197,207_209;-:158;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+490	n	T A:15_19,21_25,69,73_79,84,98,99,101,103_108,111,120_149,151_157,159_197,207_209;-:158;?:0_2,4,5,8_14,20,53,70,85,86,92_97,100,109,110,112,119,150,198_206,210_212,240,279,280,325_327,368
+>SAR0437	964	argC	467146	466838	-
+-48	p	T C:6,7,15_68,103_111,208,209;?:0_2,116,118,220_222
+-29	p	A G:3,15_99,102,112_115,119_197,207;?:0_2,116,118,220_222
+-20	p	A T:71,72,79,83,84,93_96,102_115,207_209;?:0_2,116,118,220_222
+-3	p	A G:87_91;?:0_2,116,118,220_222
+2	n	K -:116,118;E:70;?:0_2,220_222
+3	n	F V:79,83;-:116,118;L:117;?:0_2,220_222
+17	n	A T:200;?:0_2,220_222
+24	n	G S:15_25,70,83,103_111,208,209;?:0_2,220_222
+26	n	Q E:26_68;L:6,7;?:0_2,220_222
+38	n	V I:71,72;?:0_2,220_222
+41	n	D Y:87_91;?:0_2,220_222
+50	n	L ?:0_2,220_222;F:374
+64	n	A ?:0_2,220_222;V:79
+67	n	D G:6,7;?:0_2,220_222
+74	n	A ?:0_2,220_222;V:80,234
+82	n	K ?:0_2,220_222;N:73_78,80_82
+83	n	D H:83;?:0_2,220_222
+96	n	S P:54;?:0_2,220_222
+>SAR0447	3180	murC	474706	475029	+
+-42	p	T A:26_68;?:0_3,258_261
+-28	p	T C:69,85,86,93_96,102,195_197;?:0_3,258_261
+-27	p	G A:69,85,86,93_96,98_102,113_115,195_197,207;?:0_3,258_261
+-21	p	A G:98,99,113_115,207;?:0_3,258_261
+-18	p	A G:69,85,86,93_96,102,195_197;?:0_3,258_261;T:73_78,198_206
+-7	p	G A:98_101,113_115,207;?:0_3,258_261
+2	n	M I:98,99,113_115,207;?:0_3,258_261
+5	n	Q R:92,97_101,113_118,207;?:0_3,258_261
+7	n	N S:100,101;?:0_3,258_261
+10	n	N K:100,101;?:0_3,258_261
+14	n	E ?:0_3,258_261;V:93_96,102,195_197
+17	n	E ?:0_3,258_261;N:69,73_78,85,86,93_96,102,195_206
+18	n	S Y:92,97,116_118;?:0_3,258_261;F:98_101,113_115,207
+26	n	E K:97;?:0_3,258_261
+28	n	H Q:4_212;?:0_3,258_261
+33	n	L ?:0_3,258_261;F:92,97,116_118
+35	n	H Y:93_96;?:0_3,258_261
+37	n	T A:73_78,92,97,116_118,198_206;?:0_3,258_261
+53	n	H R:73_77,198_206;?:0_3,258_261
+71	n	A ?:0_3,258_261;V:85,86,166
+75	n	E G:115;?:0_3,258_261
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+-22	p	T C:3_31,33_77,79_81,83_89,92_97,99,103_111,113_115,119_121,124_130,132_181,208_212;?:0_2,32,78,82,90,91,98,118,122,123,131,182_194,232,241,443
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+-48	p	A C:0,1;G:3;?:2,37,79,109,120,232
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+-33	p	A ?:2,37,79,109,120,232;G:0,1
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+-50	p	G A:0_2;?:121,150,199,232,285
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+59	n	V Q:82;-:6,7,14,17,45,48,53,70,80,81,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,199,207,211,213,214,228,236,246,263,278,280,289,379,385;?:0_3,78,108,109
+60	n	K E:82;-:6,7,14,17,45,48,53,70,80,81,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,199,207,211,213,214,228,236,246,263,278,280,289,379,385;?:0_3,78,108,109
+61	n	E A:82;-:6,7,14,17,45,48,53,70,80,81,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,199,207,211,213,214,228,236,246,263,278,280,289,379,385;?:0_3,78,108,109
+64	n	L I:82;-:6,7,14,17,45,48,53,70,80,81,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,199,207,211,213,214,228,236,246,263,278,280,289,379,385;?:0_3,78,108,109
+65	n	S Q:82;-:6,7,14,17,45,48,53,70,80,81,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,199,207,211,213,214,228,236,246,263,278,280,289,379,385;?:0_3,78,108,109
+66	n	Q E:82;-:6,7,14,17,45,48,53,70,80,81,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,199,207,211,213,214,228,236,246,263,278,280,289,379,385;?:0_3,78,108,109
+67	n	K A:82;-:6,7,14,17,45,48,53,70,80,81,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,199,207,211,213,214,228,236,246,263,278,280,289,379,385;?:0_3,78,108,109
+68	n	F K:82;-:6,7,14,17,45,48,53,70,80,81,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,199,207,211,213,214,228,236,246,263,278,280,289,379,385;?:0_3,78,108,109
+69	n	E -:6,7,14,17,45,48,53,70,80,81,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,199,207,211,213,214,228,236,246,263,278,280,289,379,385;R:82;?:0_3,78,108,109
+71	n	R A:82;-:6,7,14,17,45,48,53,70,80,81,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,199,207,211,213,214,228,236,246,263,278,280,289,379,385;?:0_3,78,108,109
+72	n	K Q:82;-:6,7,14,17,45,48,53,70,80,81,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,199,207,211,213,214,228,236,246,263,278,280,289,379,385;?:0_3,78,108,109
+73	n	T A:82;-:6,7,14,17,45,48,53,70,80,81,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,199,207,211,213,214,228,236,246,263,278,280,289,379,385;?:0_3,78,108,109
+74	n	Q E:82;-:6,7,14,17,45,48,53,70,80,81,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,199,207,211,213,214,228,236,246,263,278,280,289,379,385;?:0_3,78,108,109
+75	n	L -:6,7,14,17,45,48,53,70,80,81,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,199,207,211,213,214,228,236,246,263,278,280,289,379,385;?:0_3,78,108,109;T:82
+76	n	E -:6,7,14,17,45,48,53,70,80,81,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,199,207,211,213,214,228,236,246,263,278,280,289,379,385;D:82;?:0_3,78,108,109
+77	n	E -:6,7,14,17,45,48,53,70,80,81,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,199,207,211,213,214,228,236,246,263,278,280,289,379,385;K:82;?:0_3,78,108,109
+78	n	T S:82;-:6,7,14,17,45,48,53,70,80,81,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,199,207,211,213,214,228,236,246,263,278,280,289,379,385;?:0_3,78,108,109
+79	n	V A:82;-:6,7,14,17,45,48,53,70,80,81,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,199,207,211,213,228,246,263,278,280,289,379,385;D:237;?:0_3,78,108,109
+81	n	Y V:82,214,236;-:6,7,14,17,45,48,53,70,80,81,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,199,207,211,213,228,246,263,278,280,289,379,385;?:0_3,78,108,109;F:4,5,8_13,15,16,18_44,46,47,49_52,54_68,71,72,79,83_87,90_92,98,100,104_107,112,113,117,118,198,200_206,208,209
+82	n	T S:82,214,236;-:6,7,14,17,45,48,53,70,80,81,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,199,207,211,213,228,246,263,278,280,289,379,385;?:0_3,78,108,109
+83	n	K -:6,7,14,17,45,48,53,70,80,81,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,199,207,211,213,228,246,263,278,280,289,379,385;?:0_3,78,108,109;N:82,214,236
+85	n	R E:214,236;-:6,7,14,17,45,48,53,70,80_82,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,199,207,211,213,228,246,263,278,280,289,379,385;?:0_3,78,108,109
+86	n	V S:214,236;-:6,7,14,17,45,48,53,70,80_82,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,207,211,213,228,246,263,278,280,289,379,385;L:199;?:0_3,78,108,109
+87	n	E -:6,7,14,17,45,48,53,70,80_82,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,207,211,213,228,246,263,278,280,289,379,385;K:199,214,236;?:0_3,78,108,109
+88	n	G A:214,236;-:6,7,14,17,45,48,53,70,80_82,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,207,211,213,228,246,263,278,280,289,379,385;?:0_3,78,108,109;D:199
+89	n	F S:214,236;-:6,7,14,17,45,48,53,70,80_82,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,207,211,213,228,246,263,278,280,289,379,385;?:0_3,78,108,109
+94	n	K E:82;-:6,7,14,17,45,48,53,70,80,81,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,207,211,213,214,228,236,246,263,278,280,289,379,385;?:0_3,78,108,109
+95	n	N S:82;-:6,7,14,17,45,48,53,70,80,81,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,207,211,213,214,228,236,246,263,278,280,289,379,385;?:0_3,78,108,109
+96	n	E -:6,7,14,17,45,48,53,70,80,81,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,207,211,213,214,228,236,246,263,278,280,289,379,385;K:82;?:0_3,78,108,109
+97	n	Q A:82;-:6,7,14,17,45,48,53,70,80,81,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,207,211,213,214,228,236,246,263,278,280,289,379,385;?:0_3,78,108,109
+99	n	A -:6,7,14,17,45,48,53,70,80,81,88,89,95,96,99,101_103,110,111,114_116,119,121_123,125,131,137,139,143,144,146,150,162,172,173,177,188,207,211,213,228,246,263,278,280,289,379,385;T:85,86;?:0_3,78,108,109
+102	n	A -:6,7,14,17,45,48,53,70,80,81,87_89,95,96,99,101_104,110,111,114_116,119,121_123,125,131,137_139,143,144,146,150,156,162,167,172,173,177,188,199,207,211,213,228,234,246,263,278,280,289,379,385;?:0_3,78,108,109;V:214,236
+111	n	A -:6,7,14,17,45,48,53,70,80,87_89,95,96,99,101_104,110,111,114_116,119,121_123,125,131,137_139,143,144,146,150,156,162,167,172,173,177,188,199,207,211,213,228,234,246,263,278,280,289,379,385;?:0_3,78,108,109;V:105_107,113
+131	n	R K:71,72,79,84_86,90_94,98,100,105_107,112,113,117,118,124,145,155,198,200_206,208,209,214,236;-:6,7,14,17,45,48,53,70,80,87_89,95,96,99,101_104,110,111,114_116,119,121_123,125,131,137_139,143,144,146,150,156,162,167,172,173,177,188,199,207,211,213,228,234,246,263,278,280,289,379,385;S:195_197,210,212;?:0_3,78,108,109
+132	n	E -:6,7,14,17,45,48,53,80,87,88,96,99,101_104,111,114_116,121,123,125,131,137,138,143,144,150,156,167,172,173,177,199,207,211,228,234,246,263,280,289,379,385;K:198,200_206;?:0_3,78,108,109
+133	n	A -:6,7,14,17,45,48,53,80,87,88,96,99,101_104,111,114_116,121,123,125,131,137,138,143,144,150,156,167,172,173,177,199,207,211,228,234,246,263,280,289,379,385;?:0_3,78,108,109;V:85,86,118
+135	n	A G:83;-:6,7,14,17,45,48,53,80,87,88,96,99,101_104,111,114_116,121,123,125,131,137,138,143,144,150,156,167,172,173,177,199,207,211,228,234,246,263,280,289,379,385;T:26_44,46,47,49_52,54_68,93,94;?:0_3,78,108,109
+137	n	A -:6,7,14,17,45,48,53,80,87,88,96,99,101_104,111,114_116,121,123,125,131,137,138,143,144,150,156,167,172,173,177,199,207,211,228,234,246,263,280,289,379,385;T:4,5,8_13,15,16,18_44,46,47,49_52,54_69,81_83,89_95,98,100,105_107,110,112,113,117_119,122,124,139,145,146,155,162,188,198,200_206,208,209,213,214,236,245,278;?:0_3,78,108,109
+138	n	D -:6,7,14,17,45,48,53,80,87,88,96,99,101_104,111,114_116,121,123,125,131,137,138,143,144,150,156,167,172,173,177,199,207,211,228,234,246,263,280,289,379,385;?:0_3,78,108,109;N:81,82
+141	n	V A:4,5,8_13,15,16,18_44,46,47,49_52,54_70,79_86,89_95,98,100,105_107,110,112,113,117_119,121,122,124,139,145,146,155,162,188,198,200_206,208,209,213,214,236,245,246,278,385;-:6,7,14,17,45,48,53,87,88,96,99,101_104,111,114_116,125,131,137,138,143,144,150,156,167,172,173,177,199,207,211,228,234,263,280,289,379;?:0_3,78,108,109
+142	n	A -:6,7,14,17,45,48,53,87,88,96,99,101_104,111,114_116,125,131,137,138,143,144,150,156,167,172,173,177,199,207,211,228,234,263,280,289,379;E:4,5,8_13,15,16,18_25,81,82,89_94,98,100,112,117,118,198,200_206,208,209;?:0_3,78,108,109
+143	n	V A:79;-:6,7,14,17,45,48,53,87,88,96,99,101_104,111,114_116,125,131,137,138,143,144,150,156,167,172,173,177,199,207,211,228,234,263,280,289,379;?:0_3,78,108,109
+144	n	S Q:131;-:6,7,14,17,45,48,53,87,88,96,99,101_104,111,114_116,125,137,138,143,144,150,156,167,172,173,177,199,207,211,228,234,263,280,289,379;?:0_3,78,108,109
+145	n	N I:131;-:6,7,14,17,45,48,53,87,88,96,99,101_104,111,114_116,125,137,138,143,144,150,156,167,172,173,177,199,207,211,228,234,263,280,289,379;?:0_3,78,108,109
+146	n	E -:6,7,14,17,45,48,53,87,88,96,99,101_104,111,114_116,125,137,138,143,144,150,156,167,172,173,177,199,207,211,228,234,263,280,289,379;K:15,16,18_25,85,86,89_92,98,100,112,117,118,120,123,126_130,132_136,140_142,147_149,151_154,157_161,163_166,168_171,174_176,178_187,189_194,198,200_206;?:0_3,78,108,109
+147	n	E K:4,5,8_13;-:6,7,14,17,45,48,53,87,88,96,99,101_104,111,114_116,125,137,138,143,144,150,156,167,172,173,177,199,207,211,228,234,263,280,289,379;?:0_3,78,108,109
+148	n	S P:95,119,121,122,124,131,139,145,146,155,162,188,213,214,236,245,246,278,385;-:6,7,14,17,45,48,53,87,88,96,99,101_104,111,114_116,125,137,138,143,144,150,156,167,172,173,177,199,207,211,228,234,263,280,289,379;?:0_3,78,108,109
+150	n	A P:198,200_206;-:6,7,14,17,45,48,53,87,88,96,99,101_104,111,114_116,125,137,138,143,144,150,156,167,172,173,177,199,207,211,228,234,263,280,289,379;?:0_3,78,108,109
+151	n	S A:4,5,8_13,69,105_107,110,113;-:6,7,14,17,45,48,53,87,88,96,101_104,111,114_116,125,137,138,143,144,150,156,167,172,173,177,199,207,211,228,234,263,280,289,379;?:0_3,78,108,109;V:15,16,18_25,70,81_83,89_95,98_100,112,117_124,126_136,139_142,145_149,151_155,157_166,168_171,174_176,178_194,198,200_206,213,214,236,245,246,278,385
+155	n	A -:6,14,17,45,48,53,88,96,101_103,111,114,116,125,137,144,172,173,177,207,228,280;?:0_3,78,108,109;V:279
+160	n	I -:6,14,17,45,48,53,88,96,101_103,111,114,116,125,137,144,172,173,177,207,228,280;?:0_3,78,108,109;V:79,84
+164	n	A -:6,14,17,48,53,88,96,101,102,111,114,116,125,137,144,172,173,177,207,228,280;?:0_3,78,108,109;V:85,86,104
+166	n	A -:6,14,17,48,53,88,96,101,102,111,114,116,125,137,144,172,173,177,207,228,280;?:0_3,78,108,109;V:8
+172	n	T I:119_124,126_128,130_134,136,139_143,145_155,157_166,168_171,174_176,178_194;-:6,14,17,48,53,88,96,101,102,111,114,116,125,137,144,172,173,177,207,228,280;?:0_3,78,108,109
+173	n	S P:21;-:6,14,17,48,53,88,96,101,102,111,114,116,125,137,144,172,173,177,207,228,280;T:8;?:0_3,78,108,109
+178	n	E A:15,16,18_47,49_52,54_68;-:6,14,17,48,53,88,96,101,102,111,114,116,125,137,144,172,173,177,207,228,280;?:0_3,78,108,109
+179	n	V I:4,5,7_13,15,16,18_47,49_52,54_77,79_87,89_91,103_107,110,112,113,115,129,135,138,167,198_206,208,209;-:6,14,17,48,53,88,96,101,102,111,114,116,125,137,144,172,173,177,207,228,280;?:0_3,78,108,109
+182	n	A -:6,14,17,48,88,144,173,228,280;T:8;?:0_3,78,108,109;V:56_68
+184	n	K X:7;R:15,16,18_25,80,92,100,101,103_107,110_115,138,167,208,209;-:6,14,17,48,88,144,173,228,280;?:0_3,78,108,109
+186	n	A -:6,14,17,48,88,144,173,228,280;T:70,79_82,84;?:0_3,78,108,109;V:15,16,18_25
+188	n	A -:6,14,17,48,88,144,173,228,280;T:15,16,18_25;?:0_3,78,108,109;V:8
+190	n	K A:73_77;-:6,14,17,48,88,144,173,228,280;T:4,5,7_13,26_47,49_68,79_84,87,89_91,102_107,110_115,198_206,208,209;?:0_3,78,108,109
+192	n	S K:4,5,7_13,26_47,49_77,79_84,87,89_91,102_107,110_115,198_206,208,209;-:6,14,17,48,88,144,173,228,280;?:0_3,78,108,109
+193	n	D S:4,5,7_13,26_47,49_77,79_84,87,89_91,102_107,110_115,198_206,208,209;-:6,14,17,48,88,144,173,228,280;?:0_3,78,108,109
+196	n	T -:6,14,17,48,81,82,88,144,173,228,280;?:0_3,78,108,109;V:4,5,7_13,26_47,49_77,79,80,83,84,87,89_91,102_107,110_115,198_206,208,209
+197	n	S -:6,14,17,48,81,82,88,144,173,228,280;L:93_96,119_143,145_172,174_197,207,210_212;?:0_3,78,108,109
+198	n	T -:6,14,17,48,81,82,88,144,173,228,280;?:0_3,78,108,109;N:4,5,7_13,26_47,49_77,79,80,83,84,87,89_91,102_107,110_115,198_206,208,209
+199	n	K -:6,14,17,48,81,82,88,144,173,228,280;E:4,5,7_13,26_47,49_77,79,80,83,84,87,89_91,102_107,110_115,208,209;?:0_3,78,108,109
+200	n	D -:6,14,17,48,81,82,88,144,173,228,280;E:4,5,7_13,26_47,49_77,79,80,83,84,87,89_91,102_107,110_115,198_206,208,209,277;?:0_3,78,108,109
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+68	n	A I:84;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,245_247,273,292,391;T:3,87_91;V:4_13,15_36,38,43_68,85,86;?:0_2,14,40,41,78,97,110,199,297
+70	n	S D:26_36,38,43_68;G:4_13,15_25;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,245_247,273,292,391;N:3;?:0_2,14,40,41,78,97,110,199,297
+71	n	A S:4_13,15_36,38,43_68,85_91;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,245_247,273,292,391;T:3;?:0_2,14,40,41,78,97,110,199,297
+75	n	P -:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,245_247,273,292,391;T:3;?:0_2,14,40,41,78,97,110,199,297
+76	n	N S:3;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,245_247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
+77	n	Q A:4_13,15_36,38,43_68,85,86;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,245_247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
+78	n	S D:4_13;H:15_36,38,43_68,85_91;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,245_247,273,292,391;P:3;?:0_2,14,40,41,78,97,110,199,297
+79	n	A -:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,245_247,273,292,391;T:87_91;?:0_2,14,40,41,78,97,110,199,297;V:3,113_115
+80	n	T -:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,245_247,273,292,391;?:0_2,14,40,41,78,97,110,199,297;N:3
+81	n	T A:87_91;D:4_13,15_36,38,43_68;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,245_247,273,292,391;P:69;V:85,86;?:0_2,14,40,41,78,97,110,199,297
+83	n	Q A:87_91;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,245_247,273,292,391;T:3_13,15_36,38,43_68,85,86;?:0_2,14,40,41,78,97,110,199,297
+84	n	S A:93_96,99_109,112_115,117,119,120,122,124_136,138_141,143,144,147,149,151_174,176_196,198,200_206,208_210;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,245_247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
+87	n	Q K:366,367;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,245_247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
+88	n	A -:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,245_247,273,292,391;T:3;?:0_2,14,40,41,78,97,110,199,297
+90	n	V A:85_91;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;S:3;T:4_13,15_36,38,43_68;?:0_2,14,40,41,78,97,110,199,297
+93	n	N Q:4_13,15_36,38,43_68,85,86;H:87_91;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
+95	n	G -:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297;V:3_13,15_36,38,43_68,85_91
+96	n	S -:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;G:3_13,15_25,87_91;?:0_2,14,40,41,78,97,110,199,297;D:26_36,38,43_68,85,86
+97	n	I A:3;E:87_91;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;T:99,113_115,195,196;V:4_13,15_36,38,43_68,85,86;?:0_2,14,40,41,78,97,110,199,297
+98	n	A S:87_91;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297;V:93_96,99_109,112_115,117,119,120,122,124_136,138_141,143,144,147,149,151_174,176_196,198,200_206,208_210
+99	n	N S:85,86;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
+101	n	A -:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297;V:3_13,15_36,38,43_68,85_91
+102	n	T A:3_13,15_25,85,86;G:26_36,38,43_68;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;V:87_91;?:0_2,14,40,41,78,97,110,199,297
+104	n	T A:15_36,38,43_69,81,83_86;M:87_91;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
+105	n	S P:3_13,15_36,38,43_69,81,83_91;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
+106	n	V I:15_36,38,43_69,81,83_86;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;T:3;?:0_2,14,40,41,78,97,110,199,297
+108	n	S P:3_13,15_36,38,43_69,81,83_91;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
+109	n	S -:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297;N:3_13
+110	n	T A:26_36,38,43_69,81,83_86;S:4_13;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
+111	n	P I:3;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;L:4_13;S:15_36,38,43_69,81,83_91;?:0_2,14,40,41,78,97,110,199,297
+112	n	S P:26_36,38,43_69,81,83_86;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
+113	n	A E:4_13;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;T:83;V:70_72;?:0_2,14,40,41,78,97,110,199,297
+114	n	Q G:3;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;L:4_13;S:15_25,87_91;?:0_2,14,40,41,78,97,110,199,297
+116	n	N S:3;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
+118	n	H -:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297;N:3,26_36,38,43_68,85,86
+119	n	T S:3_13,15_36,38,43_69,81,83_91;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
+120	n	D -:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297;N:3,26_36,38,43_68,85,86
+121	n	G A:3_13,15_36,38,43_69,81,83_91;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
+122	n	N H:4_13;K:87_91;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;T:3;?:0_2,14,40,41,78,97,110,199,297
+123	n	T A:4_13;S:3,15_36,38,43_69,81,83_91;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
+125	n	A -:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297;V:4_13
+127	n	E -:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;D:3;?:0_2,14,40,41,78,97,110,199,297
+128	n	T I:99,113_115;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;P:15_36,38,43_68,85,86;S:87_91;R:3;?:0_2,14,40,41,78,97,110,199,297
+129	n	V A:3_13,15_36,38,43_68,85_91;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
+130	n	S A:15_36,38,43_68,87_91;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;L:195,196;N:3;?:0_2,14,40,41,78,97,110,199,297
+132	n	A -:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;T:4_13,15_36,38,43_68,85_91;?:0_2,14,40,41,78,97,110,199,297;V:3
+133	n	N -:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;D:3;?:0_2,14,40,41,78,97,110,199,297
+134	n	N A:3;H:4_13;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
+135	n	K H:4_13,85,86;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;N:15_36,38,43_72,74_77,81,83,84,87_91,93_96,99_109,112_115,117,119,120,122,124_136,138_141,143,144,147,149,151_174,176_196,198,200_206,208_210;S:3;?:0_2,14,40,41,78,97,110,199,297
+136	n	V A:93_96,102,112,117,208_210;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,146,148,150,175,197,207,211_213,226,246,247,273,292,391;L:4_13,15_36,38,43_68,85_91;?:0_2,14,40,41,78,97,110,199,297
+137	n	V A:3_13,15_36,38,43_68,85,86,100,101,103_109,198,200_206;S:87_91;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
+138	n	S A:6_13;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;P:3;T:4,5;?:0_2,14,40,41,78,97,110,199,297
+140	n	N -:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;T:3;?:0_2,14,40,41,78,97,110,199,297
+141	n	T S:3_13;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297;N:15_36,38,43_68,87_91
+142	n	T A:119,120,122,124_136,138_141,143,144,146,147,149,151_174,176_194;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
+146	n	P S:3;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
+147	n	N -:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;T:119,120,122,124_136,138_141,143,144,146,147,149,151_174,176_194;?:0_2,14,40,41,78,97,110,199,297
+148	n	K R:69,81,83,84;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297;N:3_13,15_36,38,43_68,85_91
+149	n	T I:4_13;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
+150	n	N D:15_36,38,43_68,87_91;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;T:3;?:0_2,14,40,41,78,97,110,199,297
+151	n	E -:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;D:4_13,85,86;?:0_2,14,40,41,78,97,110,199,297;N:15_36,38,43_68,87_91
+153	n	G -:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297;D:4_13,15_36,38,43_68,85_91
+155	n	G A:15_36,38,43_68,87_91;E:4_13;D:3;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
+156	n	G H:3;R:4_13,15_36,38,43_68,85_91;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
+165	n	E -:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;D:3;?:0_2,14,40,41,78,97,110,199,297
+171	n	S -:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297;F:22
+172	n	D -:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297;N:119,120,122,124_136,138_141,143,144,146,147,149,151_174,176_194
+179	n	I -:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297;V:3
+180	n	A -:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;T:3;?:0_2,14,40,41,78,97,110,199,297
+182	n	Q -:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;E:4_13,15_36,38,43_68,85_91;?:0_2,14,40,41,78,97,110,199,297;P:93_96,100_109,112,117,119,120,122,124_136,138_141,143,144,146,147,149,151_174,176_196,198,200_206,208_210
+183	n	A P:3;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
+192	n	R K:210;-:37,39,42,73,79,80,82,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
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+239	n	A I:4_13,15_36,38,43_68,85_91;-:37,39,42,73,79,80,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297;V:74_77
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+256	n	R -:37,39,42,73,80,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;T:3;?:0_2,14,40,41,78,97,110,199,297
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+270	n	D -:37,39,42,73,80,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297;N:70,83,99,113_115,119,120,122,124_136,138_141,143,144,146,147,149,151_174,176_196
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+299	n	G A:3,93_96,102,117,210;-:37,39,42,73,80,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
+300	n	D S:69,74_77,100,101,103_109,198,200_206;-:37,39,42,73,80,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
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+302	n	K R:69,74_77,100,101,103_109,198,200_206;-:37,39,42,73,80,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
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+317	n	K H:70_72,83,93_96,119,120,122,124_136,138_141,143,144,146,147,149,151_174,176_194;-:37,39,42,73,80,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;L:99,113_115,195,196;N:112;S:69,74_77,100,101,103_109,198,200_206;R:3,26_36,38,43_68,85_91;?:0_2,14,40,41,78,97,110,199,297
+318	n	G E:48;-:37,39,42,73,80,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
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+321	n	T A:69,100,101,103_109,198,200_206;I:3;-:37,39,42,73,80,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;V:87_91;?:0_2,14,40,41,78,97,110,199,297
+322	n	N S:69,74_77,100,101,103_109,198,200_206;-:37,39,42,73,80,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
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+326	n	D G:15_25;-:37,39,42,73,80,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
+333	n	S A:93_96,99,113_115,119,120,122,124_136,138_141,143,144,146,147,149,151_174,176_196;-:37,39,42,73,80,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;T:3_13,15_36,38,43_68,70_72,83,85_91,102,112,117,210;?:0_2,14,40,41,78,97,110,199,297
+350	n	T P:69,74_77,100,101,103_109,198,200_206;S:83;-:37,39,42,73,80,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
+354	n	Y A:3;-:37,39,42,73,80,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;G:69_72,74_77,83,93_96,99_101,103_109,112_115,119,120,122,124_136,138_141,143,144,146,147,149,151_174,176_196,198,200_206;?:0_2,14,40,41,78,97,110,199,297
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+366	n	D A:74_77;-:37,39,42,73,80,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297;V:69
+367	n	N T:69_72,74_77,83,93_96,99_101,103_109,112_115,119,120,122,124_136,138_141,143,144,146,147,149,151_174,176_196,198,200_206;-:37,39,42,73,80,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;D:3;?:0_2,14,40,41,78,97,110,199,297
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+369	n	T A:4_13,85_91;D:69_72,74_77,83,93_96,99_101,103_109,112_115,119,120,122,124_136,138_141,143,144,146,147,149,151_174,176_196,198,200_206;-:37,39,42,73,80,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;S:3;?:0_2,14,40,41,78,97,110,199,297
+370	n	V I:6_13;-:37,39,42,73,80,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;T:69_72,74_77,83,93_96,99_101,103_109,112_115,119,120,122,124_136,138_141,143,144,146,147,149,151_174,176_196,198,200_206;?:0_2,14,40,41,78,97,110,199,297
+371	n	I -:37,39,42,73,80,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;L:3_13,85,86;?:0_2,14,40,41,78,97,110,199,297
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+375	n	S I:3;-:37,39,42,73,80,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;T:69_72,74_77,83,93_96,99_101,103_109,112_115,119,120,122,124_136,138_141,143,144,146,147,149,151_174,176_196,198,200_206;V:4_13,15_36,38,43_68,85_91;?:0_2,14,40,41,78,97,110,199,297
+376	n	V I:3,69,74_77;-:37,39,42,73,80,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
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+440	n	R H:3;-:37,39,42,73,80,92,98,111,116,118,121,123,137,142,145,148,150,175,197,207,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297
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+582	n	S R:210;-:37,39,42,73,80,92,98,111,116,118,121,123,137,142,145,148,150,175,197,209,211_213,226,246,247,273,292,391;?:0_2,14,40,41,78,97,110,199,297;N:93_96
+584	n	N E:87_91;-:37,39,42,73,80,92,98,111,116,118,121,123,137,142,145,148,150,175,197,211_213,226,246,247,273,292,391;D:3;?:0_2,14,40,41,78,97,110,199,297
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+764	n	E Q:4_13,15_36,38,43_68,71,72,74_77,85_91;-:37,39,42,73,80,92,98,111,118,121,123,137,142,145,148,150,175,197,211_213,226,246,273,292,391;?:0_2,14,40,41,78,97,110,199,297
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+933	n	T A:3_13,15_28,43_69,87_91;-:29_39,42,73,80,92,98,111,118,121,123,142,145,150,175,197,211_213,246,273,391;?:0_2,14,40,41,78,97,110,199,297
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+938	n	N Q:3;-:29_39,42,73,80,92,98,111,118,121,123,142,145,150,175,197,211_213,246,273,391;?:0_2,14,40,41,78,97,110,199,297
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+944	n	T S:4_13;-:37,39,42,73,80,92,98,111,118,121,123,142,145,150,175,197,211_213,246,273,391;?:0_2,14,40,41,78,97,110,199,297
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+982	n	T A:3;K:207;-:37,39,42,73,80,92,98,111,118,121,123,142,145,150,175,197,211_213,246,273,391;?:0_2,14,40,41,78,97,110,199,297
+986	n	T I:3;A:4_13,15_36,38,43_68,85_91;-:37,39,42,73,80,92,98,111,118,121,123,142,145,150,175,197,211_213,246,273,391;?:0_2,14,40,41,78,97,110,199,297
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+318	n	Q R:4_38,40_45,47_50,52_55,57_68,85,86;-:78;?:0_3,39,46,51,56,79,93,95_97,115_117,177,195,201,206,265_269,357,437
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+484	n	T X:112;-:53_55,78;?:0_3,39,46,51,56,79,93,95_97,115_117,177,195,201,206,265_269,357,437
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+512	n	N -:53_55;S:143;T:73_77,118;X:112;?:0_3,39,46,51,56,79,93,95_97,115_117,177,195,201,206,265_269,357,437
+513	n	D E:85_91;K:4_38,40_45,47_50,52,57_68,73_77,118,143;-:53_55;X:112;?:0_3,39,46,51,56,79,93,95_97,115_117,177,195,201,206,265_269,357,437
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+521	n	S I:175,176,178_194;H:4_38,40_45,47_50,52,57_68,85_91;-:53_55,118,143;N:98,99,207;Y:73_77;X:112;?:0_3,39,46,51,56,79,93,95_97,115_117,177,195,201,206,265_269,357,437
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+534	n	K -:53_55,118,143;L:112;?:0_3,39,46,51,56,79,93,95_97,115_117,177,195,201,206,265_269,357,437
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+557	n	F -:53_55,112,118,143;L:20;?:0_3,39,46,51,56,79,93,95_97,115_117,177,195,201,206,265_269,357,437
+559	n	P R:4_38,40_45,47_50,52,57_68,85_91;-:53_55,112,118,143;?:0_3,39,46,51,56,79,93,95_97,115_117,177,195,201,206,265_269,357,437
+564	n	A -:53_55,112,118,143;?:0_3,39,46,51,56,79,93,95_97,115_117,177,195,201,206,265_269,357,437;V:4_38,40_45,47_50,52,57_68,85,86
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+571	n	D I:73;-:53_55,78,112,118,143;?:0_3,39,46,51,56,79,93,95_97,115_117,177,195,201,206,265_269,357,437
+573	n	D -:53_55,73,78,112,118,143;?:0_3,39,46,51,56,79,93,95_97,115_117,177,195,201,206,265_269,357,437;N:4_14,70_72,74_77,85,86
+577	n	Y Q:4_7;H:8_38,40_45,47_50,52,57_72,74_77,80_91;-:53_55,73,78,112;?:0_3,39,46,51,56,79,93,95_97,115_117,177,195,201,206,265_269,357,437
+578	n	T S:4_7;-:53_55,73,78,112,118,143;?:0_3,39,46,51,56,79,93,95_97,115_117,177,195,201,206,265_269,357,437
+580	n	S Y:80,245;A:85,86;-:53_55,73,78,112,118,143;?:0_3,39,46,51,56,79,93,95_97,115_117,177,195,201,206,265_269,357,437
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+583	n	K A:4_38,40_45,47_50,52,57_68;E:85,86;I:87,88,90,91,101,123,134,142,144,166,173,174,192,193,211,241,286;-:53_55,73,78,112,118,143;N:69,71,74,76,89,100,103,104,111,119_122,124_133,135_141,145_161,163_165,167_172,175,176,178_191,194,196,197,199,207_210,212,226,228,230_234,236,238,240,246,250,251,260,264,275,290,355,356,360,368,370_373,377,391,394,459,460;?:0_3,39,46,51,56,79,93,95_97,115_117,177,195,201,206,265_269,357,437
+>SAR2032	7124	hlb	2124947	2125126	+
+-22	p	G A:70,74,80,93,94,96,98,103_110,112_115,129,164,166,169,173,174,176_183,185_191,193,194,207_209,211,215_222,230,233;?:0_2,4,13,15_20,33,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,184,192,213,229,231,237,238,240,243,262,263,290,294,302,318,363,367,379,389,453,454
+9	n	C Y:70;?:0_2,4,13,15_20,33,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,184,192,213,229,231,237,238,240,243,262,263,290,294,302,318,363,367,379,389,453,454
+24	n	R S:70,74,80,93,94,96,98,103_110,112_115,129,164,166,169,173,174,176_183,185_191,193,194,207_209,211,215_222,230,233;?:0_2,4,13,15_20,33,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,184,192,213,229,231,237,238,240,243,262,263,290,294,302,318,363,367,379,389,453,454
+25	n	E D:73;?:0_2,4,13,15_20,33,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,184,192,213,229,231,237,238,240,243,262,263,290,294,302,318,363,367,379,389,453,454
+30	n	C Y:105;?:0_2,4,13,15_20,33,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,184,192,213,229,231,237,238,240,243,262,263,290,294,302,318,363,367,379,389,453,454
+>SAR2033	4790	x	2125150	2125458	+
+-24	p	A G:357;?:0_2,4,13,15_20,28,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,184,192,213,229_231,237,238,240,243,247,262,263,265_269,290,294,302,318,363,367,379,389,453,454
+-7	p	G A:129,215_222;?:0_2,4,13,15_20,28,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,184,192,213,229_231,237,238,240,243,247,262,263,265_269,290,294,302,318,363,367,379,389,453,454
+-5	p	T C:47;?:0_2,4,13,15_20,28,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,184,192,213,229_231,237,238,240,243,247,262,263,265_269,290,294,302,318,363,367,379,389,453,454
+31	n	N S:3,6,7,26,46,71,72,79,87_89,101,111,117,118,141,142,195_206,210,223,226_228,234,235,241,242,244,258,270_277,280,357_362,364_366,368,369,371_374;?:0_2,4,13,15_20,28,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,184,192,213,229_231,237,238,240,243,247,262,263,265_269,290,294,302,318,363,367,379,389,453,454
+32	n	S L:97;?:0_2,4,13,15_20,28,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,184,192,213,229_231,237,238,240,243,247,262,263,265_269,290,294,302,318,363,367,379,389,453,454
+48	n	G ?:0_2,4,13,15_20,28,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,184,192,213,229_231,237,238,240,243,247,262,263,265_269,290,294,302,318,363,367,379,389,453,454;V:8,9
+59	n	A E:434;?:0_2,4,13,15_20,28,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,184,192,213,229_231,237,238,240,243,247,262,263,265_269,290,294,302,318,363,367,379,389,453,454
+74	n	Y I:277;?:0_2,4,13,15_20,28,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,184,192,213,229_231,237,238,240,243,247,262,263,265_269,290,294,302,318,363,367,379,389,453,454
+76	n	L Y:277;?:0_2,4,13,15_20,28,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,184,192,213,229_231,237,238,240,243,247,262,263,265_269,290,294,302,318,363,367,379,389,453,454
+93	n	I R:394;-:277;?:0_2,4,13,15_20,28,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,184,192,213,229_231,237,238,240,243,247,262,263,265_269,290,294,302,318,363,367,379,389,453,454
+94	n	Y -:277;?:0_2,4,13,15_20,28,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,184,192,213,229_231,237,238,240,243,247,262,263,265_269,290,294,302,318,363,367,379,389,453,454;F:394
+95	n	E -:277;S:394;L:86,223,241,258,270_276,280,357_362,364,366,368,369,371_374;?:0_2,4,13,15_20,28,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,184,192,213,229_231,237,238,240,243,247,262,263,265_269,290,294,302,318,363,367,379,389,453,454
+96	n	G K:394;-:223,258,270_276,280,357_362,364,366,368,369,371_374;T:277;Y:86,241;?:0_2,4,13,15_20,28,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,184,192,213,229_231,237,238,240,243,247,262,263,265_269,290,294,302,318,363,367,379,389,453,454
+97	n	C -:223,258,270_276,280,357_362,364,366,368,369,371_374;S:277;?:0_2,4,13,15_20,28,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,184,192,213,229_231,237,238,240,243,247,262,263,265_269,290,294,302,318,363,367,379,389,453,454
+98	n	V Y:86,241;-:223,258,270_276,280,357_362,364,366,368,369,371_374;G:394;?:0_2,4,13,15_20,28,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,184,192,213,229_231,237,238,240,243,247,262,263,265_269,290,294,302,318,363,367,379,389,453,454
+99	n	L G:394;-:223,258,270_276,280,357_362,364,366,368,369,371_374;?:0_2,4,13,15_20,28,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,184,192,213,229_231,237,238,240,243,247,262,263,265_269,290,294,302,318,363,367,379,389,453,454;F:277
+100	n	L -:223,258,270_276,280,357_362,364,366,368,369,371_374;P:241;S:86;Y:277,394;?:0_2,4,13,15_20,28,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,184,192,213,229_231,237,238,240,243,247,262,263,265_269,290,294,302,318,363,367,379,389,453,454
+101	n	F I:394;N:86,241;-:223,258,270_276,280,357_362,364,366,368,369,371_374;?:0_2,4,13,15_20,28,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,184,192,213,229_231,237,238,240,243,247,262,263,265_269,290,294,302,318,363,367,379,389,453,454
+102	n	I C:277;-:223,258,270_276,280,357_362,364,366,368,369,371_374;L:86,241;T:3,6,7,21_26,29_38,46,47,49,52,56_62,64_68,70_72,74,79,80,87_89,93,94,96,98,101,103_115,117,118,129,141,142,164,166,169_174,176_183,185_191,193_207,210,211,215_222,226_228,233_235,242,244,260,261,264,365;?:0_2,4,13,15_20,28,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,184,192,213,229_231,237,238,240,243,247,262,263,265_269,290,294,302,318,363,367,379,389,453,454
+>SAR2034	533	x	2125437	2125697	+
+44	n	T A:396_398,404;?:0_2,4,13,15_20,43,44,48,50,63,78,81_84,90,92,95,96,99,100,102,111,120,130,136,138_140,145,167,175,184,192,213,229,231,237,238,240,243,262,263,294,302,318,363,367,379,389,394,453,454
+>SAR2035	6276	scn	2126100	2125750	-
+-44	p	T C:143,144,146_160,162,163;?:0_2,4,13,15_20,43,44,48,50,63,78,81_84,90,92,95,96,99,100,102,111,116,130,136,138_140,145,167,175,176,184,192,212,213,229,231,237,238,240,243,262,263,265_271,294,302,318,358,363,367,379,389,394,405,440,453,454
+-21	p	T C:119_128,131_133,135;?:0_2,4,13,15_20,43,44,48,50,63,78,81_84,90,92,95,96,99,100,102,111,116,130,136,138_140,145,167,175,176,184,192,212,213,229,231,237,238,240,243,262,263,265_271,294,302,318,358,363,367,379,389,394,405,440,453,454
+-11	p	G C:359;?:0_2,4,13,15_20,43,44,48,50,63,78,81_84,90,92,95,96,99,100,102,111,116,130,136,138_140,145,167,175,176,184,192,212,213,229,231,237,238,240,243,262,263,265_271,294,302,318,358,363,367,379,389,394,405,440,453,454
+21	n	V I:358;-:96,111,212,265_271,405,440;?:0_2,4,13,15_20,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,176,184,192,213,229,231,237,238,240,243,262,263,294,302,318,363,367,379,389,394,453,454
+22	n	T S:358;-:96,111,212,265_271,405,440;?:0_2,4,13,15_20,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,176,184,192,213,229,231,237,238,240,243,262,263,294,302,318,363,367,379,389,394,453,454
+80	n	Q -:265_271;L:3,6,7,26,27,46,51,53_55,71_73,85_89,101,111,117_128,131_135,141,142,165,168,195_206,210,223,226_228,234_236,241,242,244,258,272_277,280,357_362,364_366,368,369,371_374;?:0_2,4,13,15_20,43,44,48,50,63,78,81_84,90,92,95,99,100,102,116,130,136,138_140,145,167,175,176,184,192,213,229,231,237,238,240,243,262,263,294,302,318,363,367,379,389,394,453,454
+>SAR2125	1741	agrC	2184799	2186091	+
+164	n	F -:4_6,12,14_19,21_23,57_65,73,74,76,77,83,87_89,94,105,107,117,118,120,122_124,127_132,135,138,143_146,150,164,168,169,171,172,174,175,179_181,187_189,197,209,227,230,234,235,245,261,269,280,284,299,315,325_327,341,357,359,360,366;L:3,7_11,13,20,24_56,66_70,75,79_82,90_93,95_97,100_104,106,108_116,119,121,125,126,133,134,136,137,139_142,147_149,151_163,165_167,170,173,176_178,182_186,190_194,208,210_212;?:0_2,243
+165	n	F -:4_6,12,14_19,21_23,57_65,73,74,76,77,83,87_89,94,105,107,117,118,120,122_124,127_132,135,138,143_146,150,164,168,169,171,172,174,175,179_181,187_189,197,209,227,230,234,235,245,261,269,280,284,299,315,325_327,341,357,359,360,366;L:26_56,66_69,79,81,82,92,93,95_97,103,104,106,108_111;?:0_2,243
+166	n	Y -:4_6,12,14_19,21_23,57_65,73,74,76,77,83,87_89,94,105,107,117,118,120,122_124,127_132,135,138,143_146,150,164,168,169,171,172,174,175,179_181,187_189,197,209,227,230,234,235,245,261,269,280,284,299,315,325_327,341,357,359,360,366;?:0_2,243;F:3,7_11,13,20,24_56,66_70,75,79_82,90_93,95_97,100_104,106,108_116,119,121,125,126,133,134,136,137,139_142,147_149,151_163,165_167,170,173,176_178,182_186,190_194,208,210_212
+167	n	I A:26_56,66_69,79,81,82,92,93,95_97,103,104,106,108_111;-:4_6,12,14_19,21_23,57_65,73,74,76,77,83,87_89,94,105,107,117,118,120,122_124,127_132,135,138,143_146,150,164,168,169,171,172,174,175,179_181,187_189,197,209,227,230,234,235,245,261,269,280,284,299,315,325_327,341,357,359,360,366;?:0_2,243;F:3,7_11,13,20,24,25,70,75,80,90,91,100_102,112_116,119,121,125,126,133,134,136,137,139_142,147_149,151_163,165_167,170,173,176_178,182_186,190_194,208,210_212
+170	n	T Q:3,7_11,13,20,24_56,66_70,75,79_82,90_93,95_97,100_104,106,108_116,119,121,125,126,133,134,136,137,139_142,147_149,151_163,165_167,170,173,176_178,182_186,190_194,208,210_212;-:4_6,12,14_19,21_23,57_65,73,74,76,77,83,87_89,94,105,107,117,118,120,122_124,127_132,135,138,143_146,150,164,168,169,171,172,174,175,179_181,187_189,197,209,227,230,234,235,245,261,269,280,284,299,315,325_327,341,357,359,360,366;?:0_2,243
+171	n	N I:3,7_11,13,20,24_56,66_70,75,79_82,90_93,95_97,100_104,106,108_116,119,121,125,126,133,134,136,137,139_142,147_149,151_163,165_167,170,173,176_178,182_186,190_194,208,210_212;-:4_6,12,14_19,21_23,57_65,73,74,76,77,83,87_89,94,105,107,117,118,120,122_124,127_132,135,138,143_146,150,164,168,169,171,172,174,175,179_181,187_189,197,209,227,230,234,235,245,261,269,280,284,299,315,325_327,341,357,359,360,366;?:0_2,243
+172	n	T -:4_6,12,14_19,21_23,57_65,73,74,76,77,83,87_89,94,105,107,117,118,120,122_124,127_132,135,138,143_146,150,164,168,169,171,172,174,175,179_181,187_189,197,209,227,230,234,235,245,261,269,280,284,299,315,325_327,341,357,359,360,366;D:26_56,66_69,79,81,82,92,93,95_97,103,104,106,108_111;?:0_2,243;N:3,7_11,13,20,24,25,70,75,80,90,91,100_102,112_116,119,121,125,126,133,134,136,137,139_142,147_149,151_163,165_167,170,173,176_178,182_186,190_194,208,210_212
+173	n	S A:26_56,66_69,79,81,82,92,93,95_97,103,104,106,108_111;-:4_6,12,14_19,21_23,57_65,73,74,76,77,83,87_89,94,105,107,117,118,120,122_124,127_132,135,138,143_146,150,164,168,169,171,172,174,175,179_181,187_189,197,209,227,230,234,235,245,261,269,280,284,299,315,325_327,341,357,359,360,366;?:0_2,243;N:408
+174	n	S -:4_6,12,14_19,21_23,57_65,73,74,76,77,83,87_89,94,105,107,117,118,120,122_124,127_132,135,138,143_146,150,164,168,169,171,172,174,175,179_181,187_189,197,209,227,230,234,235,245,261,269,280,284,299,315,325_327,341,357,359,360,366;D:3,7_11,13,20,24,25,70,75,80,90,91,100_102,112_116,119,121,125,126,133,134,136,137,139_142,147_149,151_163,165_167,170,173,176_178,182_186,190_194,208,210_212;?:0_2,243
+175	n	N -:4_6,12,14_19,21_23,57_65,73,74,76,77,83,87_89,94,105,107,117,118,120,122_124,127_132,135,138,143_146,150,164,168,169,171,172,174,175,179_181,187_189,197,209,227,230,234,235,245,261,269,280,284,299,315,325_327,341,357,359,360,366;E:3,7_11,13,20,24,25,70,75,80,90,91,100_102,112_116,119,121,125,126,133,134,136,137,139_142,147_149,151_163,165_167,170,173,176_178,182_186,190_194,208,210_212;D:26_56,66_69,79,81,82,92,93,95_97,103,104,106,108_111;?:0_2,243
+176	n	G A:3,7_11,13,20,24_56,66_70,75,79_82,90_93,95_97,100_104,106,108_116,119,121,125,126,133,134,136,137,139_142,147_149,151_163,165_167,170,173,176_178,182_186,190_194,208,210_212;-:4_6,12,14_19,21_23,57_65,73,74,76,77,83,87_89,94,105,107,117,118,120,122_124,127_132,135,138,143_146,150,164,168,169,171,172,174,175,179_181,187_189,197,209,227,230,234,235,245,261,269,280,284,299,315,325_327,341,357,359,360,366;?:0_2,243
+177	n	D A:72;K:3,7_11,13,20,24,25,70,75,80,90,91,100_102,112_116,119,121,125,126,133,134,136,137,139_142,147_149,151_163,165_167,170,173,176_178,182_186,190_194,208,210_212;-:4_6,12,14_19,21_23,57_65,73,74,76,77,83,87_89,94,105,107,117,118,120,122_124,127_132,135,138,143_146,150,164,168,169,171,172,174,175,179_181,187_189,197,209,227,230,234,235,245,261,269,280,284,299,315,325_327,341,357,359,360,366;S:26_56,66_69,79,81,82,92,93,95_97,103,104,106,108_111;?:0_2,243
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+179	n	L I:3,7_11,13,20,24_56,66_70,75,79_82,90_93,95_97,100_104,106,108_116,119,121,125,126,133,134,136,137,139_142,147_149,151_163,165_167,170,173,176_178,182_186,190_194,208,210_212;-:4_6,12,14_19,21_23,57_65,73,74,76,77,83,87_89,94,105,107,117,118,120,122_124,127_132,135,138,143_146,150,164,168,169,171,172,174,175,179_181,187_189,197,209,227,230,234,235,245,261,269,280,284,299,315,325_327,341,357,359,360,366;?:0_2,243
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+330	n	C A:1,2;T:447;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+331	n	G C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+333	n	C T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+334	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+392	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+393	n	G A:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+395	n	T A:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+396	n	G T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+427	n	A G:64;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+428	n	G A:164,174;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+449	n	T C:64;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+521	n	T C:63;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+528	n	C T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+540	n	G A:307,320,347,348,405,408,413,419,447;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+549	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+555	n	C T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+638	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+657	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+671	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+699	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+841	n	C T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1055	n	A G:107;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1192	n	A G:105;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1249	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1256	n	T C:296;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1262	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1378	n	T C:12;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1448	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1449	n	A T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1466	n	G A:3;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1480	n	G A:182;-:180;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1496	n	G T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1497	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1503	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1512	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1530	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1545	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1550	n	G A:1_3,22,26_40,42,45_51,53_68;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1576	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1579	n	C A:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1580	n	A G:85,86;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1584	n	T A:100,109,116_118,164,225,237,239,242_245,248,250,251,253,259,268,274,289_291,293,296,303,307,347,348,362,374,377,379,381,391,397,400,408,413,417,419,421,422,441,460;W:212;-:285;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1585	n	G -:285;T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1588	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1633	n	A T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1636	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1764	n	A C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1791	n	G A:181;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2190	n	C T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2219	n	C T:89,90;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2229	n	C G:368,369;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2261	n	G A:240,241,296,320,362,363,368,391,397;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2603	n	G ?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457;T:188
+2613	n	C Y:7;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2648	n	G A:380;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2735	n	G A:65;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2740	n	A M:7;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2756	n	G A:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2811	n	T C:65;-:241;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2839	n	A -:241;G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2842	n	G -:241;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457;T:11
+2847	n	T C:1,2;-:241;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2873	n	C -:241;T:8,12;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2874	n	A -:241;G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2883	n	T C:1,2;-:241;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2884	n	G A:5;-:241;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+>SARr005	SARr005	x	559978	561532	+
+73	n	G A:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+76	n	C T:224,239;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+80	n	A ?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426;G:0_2
+89	n	T G:317;C:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+96	n	T C:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+113	n	T G:405,418;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+166	n	G ?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426;T:193
+181	n	A G:175,182_184,192;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+186	n	T A:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+193	n	C T:264;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+203	n	A G:107;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+205	n	A T:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+209	n	G A:274,296,383,403,409,410,433,440,445,451;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+219	n	C A:105;T:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+248	n	T C:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+294	n	A ?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426;G:0_2
+463	n	T A:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+466	n	G A:208;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+478	n	G A:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+484	n	A ?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426;G:0_2
+641	n	T G:257;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1010	n	T C:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1015	n	A C:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1016	n	A C:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1031	n	C T:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1032	n	C T:0_2,92,93,99,113_115,118,190,195_200,203_209,238,343,400,455;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1037	n	C T:254,269,281,282,334,339,369,372,421,422,425,434,436,438,452,457;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1050	n	A ?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426;G:0_2
+1135	n	G A:174;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1164	n	T A:8;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1173	n	G A:195;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1275	n	C T:0;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1277	n	C T:92,190,238,343,425,455;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1338	n	C T:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1413	n	C -:43;T:107;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1430	n	T C:92;-:43;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1460	n	T A:0_2;-:43,47;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1468	n	G A:268;-:43,47;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+>SARr006	SARr006	x	561991	564913	+
+83	n	G T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+98	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+112	n	T C:79;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+124	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+131	n	G A:3;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+141	n	T C:175;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+155	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+164	n	A T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+173	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+184	n	C G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+211	n	C A:89;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+223	n	G A:92;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+232	n	T A:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+243	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+261	n	C T:24,158_160,163,166,175,193;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+267	n	G ?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457;T:2
+277	n	C G:63;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+280	n	C A:307,320,334,347,348,400,405,413,419,421,422;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+312	n	A -:296;G:258,265,270,288,309,319,330,338,339,366,391,399,402,409,427,435;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+323	n	C T:180;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+327	n	G A:1,2,59,66;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+330	n	C A:1,2;T:447;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+331	n	G C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+333	n	C T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+334	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+392	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+393	n	G A:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+395	n	T A:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+396	n	G T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+427	n	A G:64;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+428	n	G A:164,174;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+449	n	T C:64;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+528	n	C T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+540	n	G A:307,320,347,348,405,408,413,419,447;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+549	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+555	n	C T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+638	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+657	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+671	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+699	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+841	n	C T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1055	n	A G:107;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1192	n	A G:105;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1249	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1256	n	T C:296;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1262	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1378	n	T C:12;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1448	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1449	n	A T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1466	n	G A:3;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1480	n	G A:182;-:180;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1496	n	G T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1497	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1503	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1512	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1530	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1545	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1550	n	G A:1_3,22,26_40,42,45_51,53_68;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1576	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1579	n	C A:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1580	n	A G:85,86;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1584	n	T A:100,109,116_118,164,225,237,239,242_245,248,250,251,253,259,268,274,289_291,293,296,303,307,347,348,362,374,377,379,381,391,397,400,408,413,417,419,421,422,441,460;W:212;-:285;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1585	n	G -:285;T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1588	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1633	n	A T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1636	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1764	n	A C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1791	n	G A:181;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2190	n	C T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2219	n	C T:89,90;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2229	n	C G:368,369;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2261	n	G A:240,241,296,320,362,363,368,391,397;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2603	n	G ?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457;T:188
+2613	n	C Y:7;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2648	n	G A:380;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2735	n	G A:65;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2740	n	A M:7;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2756	n	G A:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2811	n	T C:65;-:241;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2839	n	A -:241;G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2842	n	G -:241;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457;T:11
+2847	n	T C:1,2;-:241;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2873	n	C -:241;T:8,12;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2874	n	A -:241;G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2883	n	T C:1,2;-:241;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2884	n	G A:5;-:241;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+>SARr009	SARr009	x	2039332	2036410	-
+83	n	G T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+98	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+112	n	T C:79;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+124	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+131	n	G A:3;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+141	n	T C:175;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+155	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+164	n	A T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+173	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+184	n	C G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+211	n	C A:89;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+223	n	G A:92;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+232	n	T A:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+243	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+261	n	C T:24,158_160,163,166,175,193;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+267	n	G ?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457;T:2
+277	n	C G:63;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+280	n	C A:307,320,334,347,348,400,405,413,419,421,422;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+312	n	A -:296;G:258,265,270,288,309,319,330,338,339,366,391,399,402,409,427,435;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+323	n	C T:180;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+327	n	G A:1,2,59,66;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+330	n	C A:1,2;T:447;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+331	n	G C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+333	n	C T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+334	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+392	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+393	n	G A:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+395	n	T A:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+396	n	G T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+427	n	A G:64;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+428	n	G A:164,174;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+449	n	T C:64;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+528	n	C T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+540	n	G A:307,320,347,348,405,408,413,419,447;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+549	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+555	n	C T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+638	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+657	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+671	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+699	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+841	n	C T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1055	n	A G:107;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1192	n	A G:105;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1249	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1256	n	T C:296;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1262	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1378	n	T C:12;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1448	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1449	n	A T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1466	n	G A:3;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1480	n	G A:182;-:180;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1496	n	G T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1497	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1503	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1512	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1530	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1545	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1550	n	G A:1_3,22,26_40,42,45_51,53_68;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1576	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1579	n	C A:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1580	n	A G:85,86;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1584	n	T A:100,109,116_118,164,225,237,239,242_245,248,250,251,253,259,268,274,289_291,293,296,303,307,347,348,362,374,377,379,381,391,397,400,408,413,417,419,421,422,441,460;W:212;-:285;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1585	n	G -:285;T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1588	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1633	n	A T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1636	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1764	n	A C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1791	n	G A:181;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2190	n	C T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2219	n	C T:89,90;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2229	n	C G:368,369;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2261	n	G A:240,241,296,320,362,363,368,391,397;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2603	n	G ?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457;T:188
+2613	n	C Y:7;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2648	n	G A:380;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2735	n	G A:65;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2740	n	A M:7;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2756	n	G A:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2811	n	T C:65;-:241;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2839	n	A -:241;G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2842	n	G -:241;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457;T:11
+2847	n	T C:1,2;-:241;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2873	n	C -:241;T:8,12;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2874	n	A -:241;G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2883	n	T C:1,2;-:241;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2884	n	G A:5;-:241;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+>SARr010	SARr010	x	2041361	2039806	-
+73	n	G A:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+76	n	C T:224,239;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+80	n	A ?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426;G:0_2
+89	n	T G:317;C:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+96	n	T C:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+113	n	T G:405,418;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+164	n	C A:54;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+166	n	G ?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426;T:193
+181	n	A G:175,182_184,192;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+186	n	T A:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+193	n	C T:264;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+203	n	A G:107;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+205	n	A T:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+209	n	G A:274,383,403,409,410,433,440,445,451;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+219	n	C A:105;T:0_2,5;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+248	n	T C:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+294	n	A ?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426;G:0_2
+463	n	T A:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+466	n	G A:208;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+478	n	G A:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+484	n	A ?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426;G:0_2
+641	n	T G:257;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1010	n	T C:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1015	n	A C:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1016	n	A C:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1031	n	C T:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1032	n	C T:0_2,92,93,99,113_115,118,190,195_200,203_209,238,343,400,455;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1034	n	T C:61;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1037	n	C T:254,269,281,282,334,339,369,372,421,422,425,434,436,438,452,457;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1048	n	A G:46,54,57,59,60,66,68;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1051	n	A ?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426;G:0_2
+1136	n	G A:174;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1165	n	T A:8;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1174	n	G A:195;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1276	n	C T:0;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1278	n	C T:92,190,238,343,425,455;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1339	n	C T:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1414	n	C -:43;T:107;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1431	n	T C:92;-:43;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1461	n	T A:0_2;-:43,47;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1469	n	G A:268;-:43,47;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+>SARr012	SARr012	x	2216887	2213963	-
+83	n	G T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+98	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+112	n	T C:79;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+124	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+131	n	G A:3;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+141	n	T C:175;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+155	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+164	n	A T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+173	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+184	n	C G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+211	n	C A:89;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+223	n	G A:92;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+232	n	T A:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+243	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+262	n	C T:24,158_160,163,166,175,193;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+268	n	G ?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457;T:2
+278	n	C G:63;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+281	n	C A:307,320,334,347,348,400,405,413,419,421,422;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+313	n	A -:296;G:258,259,265,270,288,309,319,330,338,339,366,391,399,402,409,427,435;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+328	n	G A:1,2,59;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+331	n	C A:1,2;T:447;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+332	n	G C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+334	n	C T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+335	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+393	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+394	n	G A:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+396	n	T A:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+397	n	G T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+428	n	A G:64;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+429	n	G A:164,174;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+438	n	A G:180;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+442	n	C T:180;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+450	n	T C:64;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+464	n	C A:180;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+529	n	C T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+541	n	G A:259,307,320,347,348,405,408,413,419,447;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+550	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+556	n	C T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+639	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+658	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+672	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+700	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+842	n	C T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+922	n	C T:8;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1056	n	A G:107;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1193	n	A G:105;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1250	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1257	n	T C:296;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1263	n	T C:1_3;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1379	n	T C:12;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1449	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1450	n	A T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1482	n	G A:180,182;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1498	n	G T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1499	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1505	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1514	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1532	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1547	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1552	n	G A:1_3,16,20,22,24,26_40,42,45_51,53_68;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1578	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1581	n	C A:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1582	n	A G:85,86;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1586	n	T A:100,109,116_118,164,225,237,239,242_245,248,250,251,253,268,274,289_291,293,296,303,307,347,348,362,374,377,379,381,391,397,400,408,413,417,419,421,422,441,460;W:212;-:285;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1587	n	G -:285;T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1590	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1635	n	A T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1638	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1766	n	A C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1793	n	G A:181;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2192	n	C T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2221	n	C T:89,90;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2231	n	C G:368,369;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2263	n	G A:240,241,296,320,362,363,368,391,397;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2435	n	C T:16;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2605	n	G ?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457;T:188
+2615	n	C Y:7;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2650	n	G A:380;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2737	n	G A:65;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2742	n	A M:7;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2758	n	G A:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2784	n	C T:68;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2813	n	T C:65;-:241;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2841	n	A -:241;G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2842	n	A -:241;T:68;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2844	n	G -:241;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457;T:11
+2849	n	T C:1,2;-:241;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2875	n	C -:241;T:12;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2876	n	A -:241;G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2885	n	T C:1,2;-:241;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2886	n	G A:5;-:241;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+>SARr013	SARr013	x	2218806	2217252	-
+73	n	G A:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+76	n	C T:224,239;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+80	n	A ?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426;G:0_2
+89	n	T G:317;C:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+96	n	T C:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+113	n	T G:405,418;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+166	n	G ?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426;T:193
+181	n	A G:175,182_184,192;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+186	n	T A:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+193	n	C T:264;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+203	n	A G:107;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+205	n	A T:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+209	n	G A:274,296,383,403,409,410,433,440,445,451;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+219	n	C A:105;T:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+248	n	T C:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+294	n	A ?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426;G:0_2
+463	n	T A:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+466	n	G A:208;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+478	n	G A:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+484	n	A ?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426;G:0_2
+641	n	T G:257;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1010	n	T C:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1015	n	A C:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1016	n	A C:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1031	n	C T:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1032	n	C T:0_2,92,93,99,113_115,118,190,195_200,203_209,238,343,400,455;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1037	n	C T:254,269,281,282,334,339,369,372,421,422,425,434,436,438,452,457;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1050	n	A ?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426;G:0_2
+1135	n	G A:174;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1164	n	T A:8;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1173	n	G A:195;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1275	n	C T:0;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1277	n	C T:92,190,238,343,425,455;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1338	n	C T:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1413	n	C -:43;T:107;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1430	n	T C:92;-:43;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1460	n	T A:0_2;-:43,47;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1468	n	G A:268;-:43,47;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+>SARr015	SARr015	x	2335296	2332374	-
+83	n	G T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+98	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+112	n	T C:79;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+124	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+131	n	G A:3;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+141	n	T C:175;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+155	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+164	n	A T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+173	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+184	n	C G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+211	n	C A:89;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+223	n	G A:92;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+232	n	T A:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+243	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+261	n	C T:24,158_160,163,166,175,193;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+267	n	G ?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457;T:2
+280	n	C A:307,320,334,347,348,400,405,413,419,421,422;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+312	n	A -:296;G:258,265,270,288,309,319,330,338,339,366,391,399,402,409,427,435;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+323	n	C T:180;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+327	n	G A:1,2,59;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+330	n	C A:1,2;T:447;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+331	n	G C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+333	n	C T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+334	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+392	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+393	n	G A:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+395	n	T A:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+396	n	G T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+428	n	G A:164,174;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+497	n	T C:54,60,63_66,68;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+528	n	C T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+540	n	G A:307,320,347,348,405,408,413,419,447;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+549	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+555	n	C T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+638	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+657	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+671	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+699	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+827	n	A G:65;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+829	n	T A:65;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+841	n	C T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1055	n	A G:107;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1192	n	A G:105;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1249	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1256	n	T C:296;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1262	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1378	n	T C:12;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1448	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1449	n	A T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1466	n	G A:3;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1480	n	G A:182;-:180;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1496	n	G T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1497	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1503	n	T G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1512	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1530	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1533	n	A T:63;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1545	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1550	n	G A:1_3,22,26_40,42,45_51,53_68;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1576	n	A G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1579	n	C A:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1580	n	A G:85,86;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1584	n	T A:100,109,116_118,164,225,237,239,242_245,248,250,251,253,259,268,274,289_291,293,296,303,307,347,348,362,374,377,379,381,391,397,400,408,413,417,419,421,422,441,460;W:212;-:285;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1585	n	G -:285;T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1588	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1632	n	A G:63;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1633	n	A T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1636	n	T C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1764	n	A C:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+1791	n	G A:181;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2190	n	C T:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2219	n	C T:89,90;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2229	n	C G:368,369;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2261	n	G A:240,241,296,320,362,363,368,391,397;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2453	n	A G:64;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2603	n	G ?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457;T:188
+2613	n	C Y:7;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2648	n	G A:380;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2740	n	A M:7;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2756	n	G A:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2839	n	A -:241;G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2842	n	G -:241;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457;T:11
+2847	n	T C:1,2;-:241;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2873	n	C -:241;T:8,12;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2874	n	A -:241;G:1,2;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2883	n	T C:1,2;-:241;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+2884	n	G A:5;-:241;?:0,4,10,14,15,17_19,21,23,25,41,43,44,52,81,82,93,96,98,110,112,125,128,135,139,161,167,176,185,191,194,207,214,230,234,236,305,357,359,360,385,404,457
+>SARr016	SARr016	x	2337289	2335736	-
+25	n	T C:68;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+28	n	G ?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426;T:68
+48	n	C T:68;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+50	n	T C:68;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+51	n	A T:68;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+60	n	A C:68;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+73	n	G A:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+76	n	C T:224,239;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+79	n	A ?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426;G:0_2
+88	n	T G:317;C:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+95	n	T C:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+112	n	T G:405,418;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+165	n	G ?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426;T:193
+180	n	A G:175,182_184,192;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+185	n	T A:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+192	n	C T:264;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+202	n	A G:107;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+204	n	A T:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+208	n	G A:274,383,403,409,410,433,440,445,451;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+218	n	C A:105;T:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+247	n	T C:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+293	n	A ?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426;G:0_2
+462	n	T A:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+465	n	G A:208;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+477	n	G A:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+483	n	A ?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426;G:0_2
+640	n	T G:257;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1009	n	T C:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1014	n	A C:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1015	n	A C:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1030	n	C T:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1031	n	C T:0_2,92,93,99,113_115,118,190,195_200,203_209,238,343,400,455;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1036	n	C T:254,269,281,282,334,339,369,372,421,422,425,434,436,438,452,457;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1049	n	A ?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426;G:0_2
+1134	n	G A:174;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1163	n	T A:8;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1172	n	G A:195;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1274	n	C T:0;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1276	n	C T:92,190,238,343,425,455;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1337	n	C T:0_2;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1412	n	C -:43;T:107;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1429	n	T C:92;-:43;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1459	n	T A:0_2;-:43,47;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+1467	n	G A:268;-:43,47;?:7,15,18,21,23,25,41,73,75,79,81,82,87,88,96,98,100,101,103,108,110,111,117,120_122,125,128,135,139,142,143,161,162,167,168,172,173,176,201,202,211,225,230,232_234,236,240,356,385,426
+>SATG_02447	6326	x
+-44	p	T C:83,93_96,98,99,102,112,119_128,130_160,163_176,178_194,198_206,211,212;?:0_3,26_69,78,80_82,85,92,97,103_111,129,161,162,177,208_210,243,358,426
+-42	p	C T:93_96,98,99,102,112,119_128,130_160,163_176,178_194,198_206,211,212;?:0_3,26_69,78,80_82,85,92,97,103_111,129,161,162,177,208_210,243,358,426
+-36	p	T C:4_14;?:0_3,26_69,78,80_82,85,92,97,103_111,129,161,162,177,208_210,243,358,426
+-21	p	A G:4_14;?:0_3,26_69,78,80_82,85,92,97,103_111,129,161,162,177,208_210,243,358,426
+-19	p	G A:87_91;?:0_3,26_69,78,80_82,85,92,97,103_111,129,161,162,177,208_210,243,358,426;T:207
+-18	p	C T:93_96,98,99,102,112,119_128,130_160,163_176,178_194,198_206,211,212;?:0_3,26_69,78,80_82,85,92,97,103_111,129,161,162,177,208_210,243,358,426
+-16	p	C T:70_77;?:0_3,26_69,78,80_82,85,92,97,103_111,129,161,162,177,208_210,243,358,426
+-10	p	A T:86;?:0_3,26_69,78,80_82,85,92,97,103_111,129,161,162,177,208_210,243,358,426
+2	n	A -:80_82,85,129,161,162,177,210,243,358,426;?:0_3,26_69,78,92,97,103_111,208,209;V:15_25,70_77
+3	n	V -:80_82,129,177,210,243,358,426;L:83;?:0_3,26_69,78,92,97,103_111,208,209
+6	n	N -:80_82,129,177,210,243,358,426;T:4_25,70_77,79,83_86,93_96,98,99,102,112,119_128,130_176,178_194,198_206,211,212;?:0_3,26_69,78,92,97,103_111,208,209
+7	n	D Y:70_77;-:80_82,129,210;E:79,83;?:0_3,26_69,78,92,97,103_111,208,209
+12	n	G C:79,83,84,86,93_96,98,99,102,112,119_128,130_194,198_206,211,212;S:15_25,85;-:80_82,129,210;?:0_3,26_69,78,92,97,103_111,208,209
+13	n	T S:87_91;-:80_82,129,210;?:0_3,26_69,78,92,97,103_111,208,209
+22	n	A -:80_82,129,210;?:0_3,26_69,78,92,97,103_111,208,209;V:70_77
+24	n	F L:4_25,70_77,79_91,93_96,98,99,102,112,119_194,198_207,210_212;?:0_3,26_69,78,92,97,103_111,208,209
+25	n	L I:196;?:0_3,26_69,78,92,97,103_111,208,209
+30	n	L ?:0_3,26_69,78,92,97,103_111,208,209;F:87_91
+33	n	V I:87_91;?:0_3,26_69,78,92,97,103_111,208,209
+43	n	N S:79,84;?:0_3,26_69,78,92,97,103_111,208,209
+44	n	P T:87_91,93_96,98,99,102,112,119_194,198_206,210_212;?:0_3,26_69,78,92,97,103_111,208,209
+45	n	Q H:15_25,70_77,79_82,84;?:0_3,26_69,78,92,97,103_111,208,209
+52	n	R Q:70_77;?:0_3,26_69,78,92,97,103_111,208,209
+54	n	N I:4_14,241;?:0_3,26_69,78,92,97,103_111,208,209
+58	n	R L:80_82;?:0_3,26_69,78,92,97,103_111,208,209
+63	n	R C:71,72,80_82;?:0_3,26_69,78,92,97,103_111,208,209
+66	n	K Q:83;?:0_3,26_69,78,92,97,103_111,208,209
+67	n	V F:80_82;?:0_3,26_69,78,92,97,103_111,208,209
+72	n	S P:83;?:0_3,26_69,78,92,97,103_111,208,209
+74	n	Y H:79,83,84,93_96,98_102,112,119_194,198_206,210_212;?:0_3,26_69,78,92,97,103_111,208,209
+83	n	F S:80_82;?:0_3,26_69,78,92,97,103_111,208,209
+86	n	P S:15_25;?:0_3,26_69,78,92,97,103_111,208,209
+87	n	S P:4_14,70_77,79_84,93_96,98_102,112,119_194,198_206,210_212;K:15_25;?:0_3,26_69,78,92,97,103_111,208,209
+>SATW20_05890	4010	x
+-44	p	T G:4_25;?:0_3,81,82,85,86,93_101,103_111,113_115,198_212
+16	n	K T:4_25,69,87_91,102,112,116_118,195_197;?:0_3,81,82,85,86,93_101,103_111,113_115,198_212
+18	n	S P:83;T:26_68,70_77;?:0_3,81,82,85,86,93_101,103_111,113_115,198_212
+23	n	A ?:0_3,81,82,85,86,93_101,103_111,113_115,198_212;V:70
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+26	n	E K:116;?:0_3,81,82,85,86,93_101,103_111,113_115,198_212
+28	n	F I:83,84;?:0_3,81,82,85,86,93_101,103_111,113_115,198_212
+30	n	M L:49;?:0_3,81,82,85,86,93_101,103_111,113_115,198_212
+37	n	K E:69,70,73_78;?:0_3,81,82,85,86,93_101,103_111,113_115,198_212
+38	n	N D:26_68;?:0_3,81,82,85,86,93_101,103_111,113_115,198_212
+40	n	D I:15_25;A:92,119_194;?:0_3,81,82,85,86,93_101,103_111,113_115,198_212
+41	n	I Y:15_25;?:0_3,81,82,85,86,93_101,103_111,113_115,198_212
+42	n	H I:15_25;?:0_3,81,82,85,86,93_101,103_111,113_115,198_212
+43	n	K R:15_25;?:0_3,81,82,85,86,93_101,103_111,113_115,198_212
+45	n	K ?:0_3,81,82,85,86,93_101,103_111,113_115,198_212;N:15_25
+46	n	P T:78_80,83,84,92,119_194;?:0_3,81,82,85,86,93_101,103_111,113_115,198_212
+47	n	L S:15_25;?:0_3,81,82,85,86,93_101,103_111,113_115,198_212;F:26_68,71,72
+48	n	Q K:15_68,71,72;?:0_3,81,82,85,86,93_101,103_111,113_115,198_212
+49	n	R E:26_68,71,72;?:0_3,81,82,85,86,93_101,103_111,113_115,198_212
+50	n	D H:87_91,102,195_197;T:26_68,71,72;?:0_3,81,82,85,86,93_101,103_111,113_115,198_212;L:15_25
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+-35	p	A G:70_72,97,100,101,113_212;?:0_68,85_91
+-31	p	C T:71;?:0_68,85_91
+-20	p	G C:195_197;?:0_68,85_91
+-10	p	G A:113_115;?:0_68,85_91
+16	n	V I:103;L:195_197;?:0_68,85_91
+18	n	A S:100,101,113_115;?:0_68,85_91
+57	n	N S:70_77,92_101,112_212;?:0_68,85_91
+61	n	L ?:0_68,85_91;V:79_84
+65	n	L ?:0_68,85_91;V:79_84
+>SAVG_00810	7778	x
+-46	p	G A:113_115;T:3,39;?:0_2,69,95,214,309,454
+-43	p	T A:73_78,81_83,85,86;?:0_2,69,95,214,309,454
+-41	p	G A:15_25,73_78,81_83,85,86,93,94,96,98,99,112,198_206;?:0_2,69,95,214,309,454
+-37	p	A C:116_118;G:73_78,81_83,85,86;?:0_2,69,95,214,309,454
+-16	p	C T:15_25,93,94,96,98,99,112,198_206;?:0_2,69,95,214,309,454
+-12	p	G A:116_118;?:0_2,69,95,214,309,454
+-4	p	A G:3,26_68,73_78,81_83,85,86,119_135;?:0_2,69,95,214,309,454
+-1	p	A C:3_68,70_94,96_194,198_206,208_212;?:0_2,69,95,214,309,454
+9	n	A -:214;D:381;?:0_2,69,95,309,454
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+19	n	P L:240;?:0_2,69,95,309,454
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+55	n	D H:4_14;?:0_2,69,95,309,454
+58	n	M I:390;?:0_2,69,95,309,454
+63	n	Y C:282;?:0_2,69,95,309,454
+66	n	D Y:3;?:0_2,69,95,309,454
+69	n	N D:3;?:0_2,69,95,309,454
+71	n	V N:4,5,8_14,70;?:0_2,69,95,309,454
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+-48	p	C A:347_354;?:0_3,6_14,51,129,143_146,149,151_158
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+7	n	R I:274;?:0_3,6_14,51,129,143_146,149,151_158
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+11	n	K I:175;?:0_3,6_14,51,129,143_146,149,151_158
+15	n	T P:26_50,52_68;?:0_3,6_14,51,129,143_146,149,151_158
+23	n	Y ?:0_3,6_14,51,129,143_146,149,151_158;N:83
+29	n	S ?:0_3,6_14,51,129,143_146,149,151_158;N:87_91
+30	n	S ?:0_3,6_14,51,129,143_146,149,151_158;F:4,5
+35	n	R H:4,5,70_77,112;C:100,101,195_197;?:0_3,6_14,51,129,143_146,149,151_158
+56	n	F L:69,73_77,79_82,84;?:0_3,6_14,51,129,143_146,149,151_158
+57	n	L S:16_18,87_91,97,116_118,130,207;?:0_3,6_14,51,129,143_146,149,151_158
+65	n	I -:92;T:83;?:0_3,6_14,51,129,143_146,149,151_158
+71	n	V -:92;L:26;?:0_3,6_14,51,129,143_146,149,151_158
+72	n	K R:26;-:92;?:0_3,6_14,51,129,143_146,149,151_158
+73	n	L C:26;-:92;?:0_3,6_14,51,129,143_146,149,151_158
+>SAVG_00873	1986	x
+17	n	N K:6,7;?:0_2,87_91,95
+18	n	L I:3;?:0_2,87_91,95
+37	n	A E:100,101;?:0_2,87_91,95
+57	n	S A:3;?:0_2,87_91,95
+60	n	I T:119_194;?:0_2,87_91,95
+68	n	T I:3;A:4,5,8_14,85,86;?:0_2,87_91,95
+70	n	H Q:226;R:274;?:0_2,87_91,95
+72	n	S Y:3;R:75;?:0_2,87_91,95;N:74,100,101
+73	n	E K:78;?:0_2,87_91,95
+74	n	R Q:4,8_11,13,14;H:3,5_7,12,26_68,71_79,83,85,86,92,97_212,271,281,282;?:0_2,87_91,95
+75	n	M A:209;I:28;T:100_102;V:83,92,98,99,103_111,116_118,195_208,210_212;?:0_2,87_91,95
+79	n	G S:6,7,69,71,72,78_84,92_94,96_112,116_212;N:70;?:0_2,87_91,95;D:26_68,85,86
+80	n	C Y:80_82;?:0_2,87_91,95
+83	n	V I:71,72,78,79,81_83;L:93,94,96;?:0_2,87_91,95
+88	n	K R:3;?:0_2,87_91,95
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+-50	p	G ?:0_25,70,87_91,100,143,228,229;N:85,86
+-49	p	A ?:0_25,70,87_91,100,143,228,229;N:85,86
+-48	p	A ?:0_25,70,87_91,100,143,228,229;N:85,86
+-47	p	A ?:0_25,70,87_91,100,143,228,229;N:85,86
+-46	p	A ?:0_25,70,87_91,100,143,228,229;N:85,86
+-45	p	A ?:0_25,70,87_91,100,143,228,229;N:85,86
+-44	p	A ?:0_25,70,87_91,100,143,228,229;N:85,86
+-43	p	T ?:0_25,70,87_91,100,143,228,229;N:85,86
+-42	p	A ?:0_25,70,87_91,100,143,228,229;N:85,86
+-41	p	G ?:0_25,70,87_91,100,143,228,229;N:85,86
+-40	p	A ?:0_25,70,87_91,100,143,228,229;N:85,86
+-39	p	T ?:0_25,70,87_91,100,143,228,229;N:85,86
+-38	p	A ?:0_25,70,87_91,100,143,228,229;N:85,86
+-37	p	A ?:0_25,70,87_91,100,143,228,229;N:85,86
+-36	p	T C:78,84;?:0_25,70,87_91,100,143,228,229;N:85,86
+-35	p	C ?:0_25,70,87_91,100,143,228,229;N:85,86
+-34	p	G ?:0_25,70,87_91,100,143,228,229;N:85,86
+-33	p	T ?:0_25,70,87_91,100,143,228,229;N:85,86
+-32	p	T ?:0_25,70,87_91,100,143,228,229;N:85,86
+-31	p	A ?:0_25,70,87_91,100,143,228,229;N:85,86
+-30	p	A ?:0_25,70,87_91,100,143,228,229;N:85,86
+-29	p	A ?:0_25,70,87_91,100,143,228,229;N:85,86
+-28	p	T G:85;?:0_25,70,87_91,100,143,228,229;N:86
+-27	p	G ?:0_25,70,87_91,100,143,228,229;N:86
+-26	p	T A:71_77;C:85;?:0_25,70,87_91,100,143,228,229;N:86
+-25	p	A G:85;?:0_25,70,87_91,100,143,228,229;N:86
+-24	p	T C:85;?:0_25,70,87_91,100,143,228,229;N:86
+-23	p	C A:85;T:69;?:0_25,70,87_91,100,143,228,229;N:86
+-22	p	A C:85;?:0_25,70,87_91,100,143,228,229;N:86
+-21	p	T ?:0_25,70,87_91,100,143,228,229;N:86
+-20	p	T A:85;?:0_25,70,87_91,100,143,228,229;N:86
+-19	p	T C:78,84;?:0_25,70,87_91,100,143,228,229;N:86
+-18	p	A ?:0_25,70,87_91,100,143,228,229;N:86
+-17	p	A ?:0_25,70,87_91,100,143,228,229;N:86
+-14	p	A T:85,86;?:0_25,70,87_91,100,143,228,229
+0	p	A -:73,81_83;?:0_25,70,87_91,100,143,228,229;N:85,86
+13	n	A S:98,99,198_206;?:0_25,70,87_91,100,143,228,229;V:81,82
+15	n	I K:69,78,81,82,84;?:0_25,70,87_91,100,143,228,229
+25	n	T I:78;A:79;?:0_25,70,87_91,100,143,228,229;P:81,82,101
+33	n	S C:445;?:0_25,70,87_91,100,143,228,229;N:78
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+35	n	R L:85,86;?:0_25,70,87_91,100,143,228,229
+48	n	N I:227;?:0_25,70,87_91,100,143,228,229
+49	n	V A:69;?:0_25,70,87_91,100,143,228,229
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+63	n	R H:97;L:69,78,84;?:0_25,70,87_91,100,143,228,229
+66	n	T A:71_77;?:0_25,70,87_91,100,143,228,229
+75	n	F L:78,235,376;?:0_25,70,87_91,100,143,228,229
+76	n	V C:86;-:78,235,376;?:0_25,70,87_91,100,143,228,229
+77	n	I -:78,235,376;D:86;?:0_25,70,87_91,100,143,228,229
+78	n	C -:78,235,376;L:86;?:0_25,70,87_91,100,143,228,229
+79	n	W -:78,235,376;E:26_68;G:69,71_77,79_83,85;?:0_25,70,87_91,100,143,228,229
+80	n	N D:97,101,113_115,210_212;G:98,99,198_206;I:26_69,71_77,79_83,85;-:78,235,376;S:102;?:0_25,70,87_91,100,143,228,229
+81	n	I -:78,235,376;?:0_25,70,87_91,100,143,228,229;F:26_69,71_77,79_83,85
+>USA300HOU_2519	5398	x
+-42	p	G A:69;?:0_2,215_219
+-40	p	T C:4_7,15_25;?:0_2,215_219
+-8	p	T A:230;?:0_2,215_219
+-3	p	G A:15_25;?:0_2,215_219
+56	n	G R:86;?:0_2,215_219
+57	n	A T:97,103_112,116_118,195_197,207;?:0_2,215_219
diff --git a/datasets/sau461/input/res-data.txt b/datasets/sau461/input/res-data.txt
new file mode 100644
index 0000000..45ba68d
--- /dev/null
+++ b/datasets/sau461/input/res-data.txt
@@ -0,0 +1,54 @@
+Draft Genome Sequence of Staphylococcus aureus ST672, an Emerging Disease Clone from India
+Meticillin	GR1	R	
+Serine/Threonine Phosphatase Stp1 Contributes to Reduced Susceptibility to Vancomycin and Virulence in Staphylococcus aureus
+Vancomycin	A5937	U:1.5
+Vancomycin	A5940	U:4
+Vancomycin	A6224	U:2
+Vancomycin	A6226	U:3
+Vancomycin	A6300	U:2
+Vancomycin	A6298	U:4
+Vancomycin	A9635	U:1
+Vancomycin	A9636	U:1
+Vancomycin	A9637	U:2
+Vancomycin	A9638	U:3
+Vancomycin	A9639	U:4
+Vancomycin	A8117	U:1
+Vancomycin	A8118	U:4
+Vancomycin	A8392	U:8
+Daptomycin	A5937	U:0.12
+Daptomycin	A5940	U:0.25
+Daptomycin	A6224	U:0.25
+Daptomycin	A6226	U:2
+Daptomycin	A6300	U:0.25
+Daptomycin	A6298	U:1
+Daptomycin	A9635	U:0.5
+Daptomycin	A9636	U:0.5
+Daptomycin	A9637	U:1
+Daptomycin	A9638	U:2
+Daptomycin	A9639	U:4
+
+Draft Genome Sequence of Strain CBD-635, a Methicillin-Resistant Staphylococcus aureus USA100 Isolate
+Meticillin	CBD-635	R
+
+Genome Sequence of Staphylococcus aureus Strain CA-347, a USA600 Methicillin-Resistant Isolate
+Chloramphenicol		CA-347	I:16
+Clindamycin		CA-347	R>16
+Daptomycin		CA-347	S:1
+Doxycycline		CA-347	S:<=1
+Erythromycin		CA-347	R:>8
+Gentamicin		CA-347	S:<=2
+Levofloxacin		CA-347	R:=16
+Linezolid		CA-347	S:2
+Mupirocin		CA-347	U:<=4
+Oxacillin		CA-347	R:>16
+Penicillin		CA-347	S:0.12
+Rifampicin		CA-347	S:<=0.2
+Tetracycline		CA-347	S:<=1
+Trimeth		CA-347	S:<=0.5
+Sulfa		CA-347	S:<=9.5
+Vancomycin		CA-347	S:1
+
+
+Complete Genome Sequence of a Pant�n-Valentine Leukocidin-Negative Community-Associated Methicillin-Resistant Staphylococcus aureus Strain of Sequence type 72 from Korea
+Clindamycin CN1	R
+Erythromycin CN1	R
diff --git a/datasets/sau461/input/res_profiles.txt b/datasets/sau461/input/res_profiles.txt
new file mode 100644
index 0000000..c8f1aed
--- /dev/null
+++ b/datasets/sau461/input/res_profiles.txt
@@ -0,0 +1,12 @@
+M0881 IS-K IS-250 MSHR1132 21252 CIG290 21202 PS187 M1311 CA-347 A9635 M0877 CIG1524 21200 21194 S130 ST398 M140olga S1 S123 08BA02176 S100 21331 S94 71193 DR10 C427 21342 C160 552053 58-424 65-1322 C101 aureus_M1015 M809 M876 M899 68-397 E1410 M2 WBG10049 122051 TCH60 LCT-SA112 LCT-SA67 21195 M0408 21264 CGS00 21345 Btn1260 M1034 MN8 WW270397 M1256 A01793497 M0946 CIG1242 CIG1267 CIG1214 CIGC341D CIG1605 CIG1500 CIG1233 CIG149 CIG1176 M0513 EMRSA16 MRSA252 JKD6159 6850 21262 Tager_104 I [...]
+Ciprofloxacin	? S:69,84,104,106,112,136,139,141,149,161,162,170,223;R:16,68,124,125,133,155,220_222,364
+Tetracycline	? S:38,52,68,69,84,104,112,139,141,149,223,283,284,364;R:16,30,31,37,106,124,125,133,136,155,220_222,234
+Meticillin	? S:29,32,34_36,38,50,52,104,112,139,141,170,264,275;R:16,39,40,42,53,55,67_69,84,94,106,124,125,127,133,136,149,155,161,162,220_223,228,234,283,284,364
+Oxacillin	? S:10,52,104,112,139,141,170,283,284;R:3,16,68,84,106,124,125,136,149,155,220_222,364
+Clindamycin	? S:16,52,69,84,104,106,112,136,139,141,149;R:68,155,220_223,275,283,284,364
+Gentamicin	? S:52,68,84,104,106,112,136,139,141,149,161,162,223,234,364;R:124,125,133,220_222
+Erythromycin	? S:16,52,69,84,104,106,112,136,139,141;R:30,31,37,68,133,149,155,220_223,234,275,283,284,364
+Kanamycin	? S:52,112,139;R:149,155,234
+Vancomycin	? S:10,16,52,68,69,104,106,112,125,133,139,141,149,155,156,161,162,165,170,177,220,222,223,233,243,244,276,283,293,345,357,358,364,417,426;R:140,237,250,251,263,277_280,289,290,379,408
+Rifampicin	? S:16,68,69,84,104,112,133,139,141,149,155,161,162,222,223,283;R:126,221,284
+Penicillin	? S:139,141,170;R:16,30,31,37,38,52,68,84,104,106,112,133,136,149,155,221_223,364
diff --git a/datasets/sau461/input/res_profiles_cmp.txt b/datasets/sau461/input/res_profiles_cmp.txt
new file mode 100644
index 0000000..3dfc143
--- /dev/null
+++ b/datasets/sau461/input/res_profiles_cmp.txt
@@ -0,0 +1,4 @@
+M0881 IS-K IS-250 MSHR1132 21252 CIG290 21202 PS187 M1311 CA-347 A9635 M0877 CIG1524 21200 21194 S130 ST398 M140olga S1 S123 08BA02176 S100 21331 S94 71193 DR10 C427 21342 C160 552053 58-424 65-1322 C101 aureus_M1015 M809 M876 M899 68-397 E1410 M2 WBG10049 122051 TCH60 LCT-SA112 LCT-SA67 21195 M0408 21264 CGS00 21345 Btn1260 M1034 MN8 WW270397 M1256 A01793497 M0946 CIG1242 CIG1267 CIG1214 CIGC341D CIG1605 CIG1500 CIG1233 CIG149 CIG1176 M0513 EMRSA16 MRSA252 JKD6159 6850 21262 Tager_104 I [...]
+Rifampicin	? 
+Fluoroquinolones	? 
+Rifampicin	 
diff --git a/datasets/sau461/input/res_profiles_genes.txt b/datasets/sau461/input/res_profiles_genes.txt
new file mode 100644
index 0000000..5162fbd
--- /dev/null
+++ b/datasets/sau461/input/res_profiles_genes.txt
@@ -0,0 +1,4 @@
+M0881 IS-K IS-250 MSHR1132 21252 CIG290 21202 PS187 M1311 CA-347 A9635 M0877 CIG1524 21200 21194 S130 ST398 M140olga S1 S123 08BA02176 S100 21331 S94 71193 DR10 C427 21342 C160 552053 58-424 65-1322 C101 aureus_M1015 M809 M876 M899 68-397 E1410 M2 WBG10049 122051 TCH60 LCT-SA112 LCT-SA67 21195 M0408 21264 CGS00 21345 Btn1260 M1034 MN8 WW270397 M1256 A01793497 M0946 CIG1242 CIG1267 CIG1214 CIGC341D CIG1605 CIG1500 CIG1233 CIG149 CIG1176 M0513 EMRSA16 MRSA252 JKD6159 6850 21262 Tager_104 I [...]
+SWG_02204	R S:4_7,10,13,14,19,21_38,43_52,70_72,78_87,92,98_101,103,104,110_113,115_117,130,138_142,157,166_168,170_172,176,195_197,207_211,226,229,231_233,236,238,239,241_244,275,356,384
+M397_03470	S R:4,15_20,39,46,102,119_135,137,156,177,179_194,220_222,224,225,237,243,377,446,447
+S103564_2618	S R:2,16_18,31,32,36,39,75,93,95,96,101,114,118,129,131,133,135,136,155,156,162,195,211,228,229,242,244,263,290
diff --git a/datasets/sau461/input/res_profiles_ret.txt b/datasets/sau461/input/res_profiles_ret.txt
new file mode 100644
index 0000000..01033f3
--- /dev/null
+++ b/datasets/sau461/input/res_profiles_ret.txt
@@ -0,0 +1,13 @@
+Ciprofloxacin	04-02981;JKD6008;JKD6009;MRSA252;Mu3;Mu50;Mu50-omega;ST398;TW20;USA300_FPR3757;	COL;JKD6159;LGA251;MRSA131;MRSA177;MSSA476;MW2;N315;NCTC_8325;Newman;RN4220;USA300_TCH1516;USA300_TCH959;
+Tetracycline	58-424;65-1322;68-397;CF-Marseille;COL;JKD6008;JKD6009;MW2;Mu3;Mu50;Mu50-omega;ST398;TW20;USA300_FPR3757;	04-02981;E1410;JH1;JH9;JKD6159;LGA251;MN8;MRSA252;MSSA476;N315;NCTC_8325;RN4220;USA300_TCH1516;USA300_TCH959;
+Meticillin	04-02981;11819-97;A01793497;CF-Marseille;COL;EMRSA-15;EMRSA16;JH1;JH9;JKD6008;JKD6009;JKD6159;LGA251;M2;MR1;MRSA131;MRSA177;MRSA252;MW2;Mu3;Mu50;Mu50-omega;N315;ST398;T0131;TCH60;TW20;USA300_FPR3757;USA300_TCH1516;WBG10049;WW270397;	552053;Btn1260;C101;E1410;ECT-R_2;M1015;M809;M876;M899;MN8;MSSA476;NCTC_8325;Newman;RN4220;USA300_TCH959;
+#Co-trimoxazole	JKD6008;JKD6009;TW20;	16K;COL;MN8;MW2;Mu3;Mu50;N315;NCTC_8325;USA300_FPR3757;USA300_TCH1516;USA300_TCH959;
+Oxacillin	04-02981;COL;JKD6008;JKD6009;LGA251;MRSA252;MSHR1132;MW2;Mu3;Mu50;Mu50-omega;ST398;USA300_FPR3757;USA300_TCH1516;	A9635;JH1;JH9;MN8;MSSA476;NCTC_8325;Newman;RN4220;USA300_TCH959;
+Clindamycin	04-02981;ECT-R_2;JH1;JH9;MRSA252;Mu3;Mu50;Mu50-omega;N315;USA300_FPR3757;	COL;JKD6159;LGA251;MN8;MSSA476;MW2;NCTC_8325;RN4220;ST398;USA300_TCH1516;USA300_TCH959;
+Gentamicin	JKD6008;JKD6009;Mu3;Mu50;Mu50-omega;TW20;	04-02981;CF-Marseille;COL;LGA251;MN8;MRSA131;MRSA177;MRSA252;MSSA476;MW2;N315;NCTC_8325;RN4220;USA300_TCH1516;USA300_TCH959;
+Erythromycin	04-02981;58-424;65-1322;68-397;CF-Marseille;ECT-R_2;JH1;JH9;MRSA252;Mu3;Mu50;Mu50-omega;N315;TW20;USA300_FPR3757;USA300_TCH1516;	COL;JKD6159;LGA251;MN8;MSSA476;MW2;NCTC_8325;RN4220;ST398;USA300_TCH959;
+Kanamycin	CF-Marseille;USA300_FPR3757;USA300_TCH1516;	MN8;RN4220;USA300_TCH959;
+Vancomycin	VC40;VRS1;VRS10;VRS11a;VRS11b;VRS2;VRS3a;VRS4;VRS5;VRS6;VRS7;VRS8;VRS9;	04-02981;A10102;A5948;A6224;A8115;A8117;A8796;A8819;A9299;A9635;A9719;A9754;A9763;A9765;A9781;JH1;JKD6009;JKD6159;MN8;MRSA131;MRSA177;MRSA252;MSSA476;MW2;Mu3;Mu50-omega;N315;NCTC_8325;Newman;RN4220;ST398;TW20;USA300_FPR3757;USA300_TCH1516;USA300_TCH959;
+#Bacitracin	Mu3;Mu50;USA300_TCH1516;	Mu50-omega;N315;Newman;USA300_FPR3757;USA300_TCH959;
+Rifampicin	16K;JH9;Mu50;	JH1;JKD6159;LGA251;MRSA131;MRSA177;MRSA252;MSSA476;Mu3;N315;NCTC_8325;RN4220;ST398;TW20;USA300_FPR3757;USA300_TCH1516;USA300_TCH959;
+Penicillin	04-02981;58-424;65-1322;68-397;COL;E1410;LGA251;MN8;MRSA252;MSSA476;MW2;Mu3;Mu50;N315;ST398;TW20;USA300_FPR3757;USA300_TCH1516;USA300_TCH959;	NCTC_8325;Newman;RN4220;
diff --git a/datasets/sau461/input/res_profiles_ret_after.txt b/datasets/sau461/input/res_profiles_ret_after.txt
new file mode 100644
index 0000000..a7fee9d
--- /dev/null
+++ b/datasets/sau461/input/res_profiles_ret_after.txt
@@ -0,0 +1,11 @@
+Ciprofloxacin	USA300_FPR3757;JKD6008;JKD6009;Mu50;Mu50-omega;Mu3;ST398;TW20;MRSA252;04-02981;	MW2;MSSA476;LGA251;N315;JKD6159;USA300_TCH959;RN4220;Newman;NCTC_8325;COL;MRSA177;MRSA131;USA300_TCH1516;
+Tetracycline	MW2;*M0881;*IS-250;USA300_FPR3757;58-424;68-397;JKD6008;JKD6009;65-1322;Mu50-omega;Mu3;*IS-24;TW20;ST398;*IS-K;*M0408;COL;CF-Marseille;Mu50;	JH9;JH1;MSSA476;E1410;LGA251;N315;JKD6159;USA300_TCH959;RN4220;MRSA252;NCTC_8325;04-02981;MN8;USA300_TCH1516;
+Meticillin	*IS-189;*M0881;*IS-250;*IS-K;*MSHR1132;*21345;*CIG149;*CIG1176;*CIG1500;*CIG1214;*CIG1267;*CIG1605;*M0513;MRSA252;EMRSA16;*CIG1242;*M0946;*CIGC341D;*CIG1233;*21195;WW270397;*M1256;A01793497;M2;TCH60;*122051;WBG10049;*A9635;*CIG1524;*M0877;*CA-347;*M1311;*21262;*IS-160;*M013;*PM1;LGA251;*ED133;*M1228;*HO_5096_0412;*IS-105;*LVP2;*3957;*118;*KTY21;*VH60;*120;*333;*3989;*GR1;*21193;*S1800;*103564;*21333;11819-97;*CIGC128;*TCH70;*CIG1835;MW2;*KT314250;*M1216;*IS-55;*H19;JKD6159;*21 [...]
+Oxacillin	*IS-189;*M0881;*IS-250;*IS-K;MSHR1132;*21345;*CIG149;*CIG1176;*CIG1500;*CIG1214;*CIG1267;*CIG1605;*M0513;MRSA252;*EMRSA16;*CIG1242;*M0946;*CIGC341D;*CIG1233;*21195;*WW270397;*M1256;*A01793497;*M2;*E1410;*TCH60;*122051;*WBG10049;*CIG1524;*M0877;*CA-347;*M1311;*21262;*IS-160;*M013;*PM1;LGA251;*ED133;*M1228;*HO_5096_0412;*IS-105;*LVP2;*3957;*118;*KTY21;*VH60;*120;*333;*3989;*GR1;*21193;*S1800;*103564;*21333;*11819-97;*CIGC128;*TCH70;*CIG1835;MW2;*KT314250;*M1216;*IS-55;*H19;*JKD61 [...]
+Clindamycin	*IS-189;*Btn1260;*CGS00;*CIG149;*CIG1176;*CIG1500;*CIG1214;*CIG1267;*CIG1605;*M0513;MRSA252;*EMRSA16;*CIG1242;*M0946;*CIGC341D;*CIG1233;*M1034;*A01793497;*M0408;*M2;*58-424;*68-397;*M899;*65-1322;*M0877;*CA-347;*M1311;*TCH70;*M1216;*21334;*RF122;*M1093;*CBD-635;*M0478;*M1255;*M0646;*M0692;*M0571;*M0045;*M0799;*A8796;*M1109;*M1244;*M0823;*M1063;*M1466;*M0150;*M0719;*M0270;*M0197;*M1061;*M0586;*M0602;*M0934;*M0306;*M1565;*M0001;*M1044;*M1015;*A6224;*A6300;*M0687;*M0528;*M0108;* [...]
+Gentamicin	JKD6008;JKD6009;Mu50;Mu50-omega;Mu3;TW20;	MW2;MSSA476;LGA251;N315;MRSA177;USA300_TCH959;RN4220;MRSA252;NCTC_8325;COL;04-02981;CF-Marseille;MN8;MRSA131;USA300_TCH1516;
+Erythromycin	*IS-189;*Btn1260;*CGS00;*CIG149;*CIG1176;*CIG1500;*CIG1214;*CIG1267;*CIG1605;*M0513;MRSA252;*EMRSA16;*CIG1242;*M0946;*CIGC341D;*CIG1233;*M1034;*A01793497;*M0408;*M2;58-424;68-397;*M899;65-1322;*M0877;*CA-347;*M1311;*TCH70;*M1216;*21334;*RF122;*M1093;*CBD-635;*M0478;*M1255;*M0646;*M0692;*M0571;*M0045;*M0799;*A8796;*M1109;*M1244;*M0823;*M1063;*M1466;*M0150;*M0719;*M0270;*M0197;*M1061;*M0586;*M0602;*M0934;*M0306;*M1565;*M0001;*M1044;*M1015;*A6224;*A6300;*M0687;*M0528;*M0108;*CI [...]
+Kanamycin	CF-Marseille;USA300_FPR3757;USA300_TCH1516;	MN8;USA300_TCH959;RN4220;
+Vancomycin	VRS8;VRS3a;VRS2;VRS7;VRS10;VRS5;VRS4;VRS6;VRS9;VRS1;VRS11b;VRS11a;VC40;	A9754;USA300_FPR3757;A8117;A8115;MRSA177;A9765;A6224;A8819;TW20;A10102;04-02981;A9763;MN8;A9719;A5948;N315;JKD6009;Mu50-omega;Mu3;MRSA131;A9635;JH1;A9299;A9781;MW2;MSSA476;JKD6159;USA300_TCH959;MRSA252;RN4220;Newman;ST398;NCTC_8325;USA300_TCH1516;A8796;
+Rifampicin	JH9;16K;Mu50;	JH1;MSSA476;USA300_FPR3757;LGA251;N315;Mu3;JKD6159;USA300_TCH959;MRSA252;RN4220;TW20;ST398;NCTC_8325;MRSA177;MRSA131;USA300_TCH1516;
+Penicillin	*IS-189;*M0881;*IS-250;*IS-K;*MSHR1132;*C427;*Btn1260;*CGS00;*21264;*21345;*CIG149;*CIG1176;*CIG1500;*CIG1214;*CIG1267;*CIG1605;*M0513;MRSA252;*EMRSA16;*CIG1242;*M0946;*CIGC341D;*CIG1233;*21342;*C160;*M1034;MN8;*21195;*WW270397;*M1256;*A01793497;*M0408;*M2;*552053;*M809;58-424;68-397;*C101;*M876;*aureus_M1015;*M899;65-1322;E1410;*TCH60;*122051;*WBG10049;*21200;*A9635;*CIG1524;*M0877;*CA-347;*M1311;*CIG290;*M0396;*M0239;*21340;*21266;*21262;*IS-160;*M013;*PM1;LGA251;*ED133;*M12 [...]
diff --git a/datasets/sau461/input/res_profiles_ret_genes.txt b/datasets/sau461/input/res_profiles_ret_genes.txt
new file mode 100644
index 0000000..f2c9be7
--- /dev/null
+++ b/datasets/sau461/input/res_profiles_ret_genes.txt
@@ -0,0 +1,11 @@
+ermC_HMPREF0773_2657_9628	TCH70	IS-189;M0881;IS-250;IS-K;MSHR1132;C427;LCT-SA112;Btn1260;CGS00;21264;21345;CIG149;CIG1176;CIG1500;CIG1214;CIG1267;CIG1605;M0513;MRSA252;EMRSA16;CIG1242;M0946;CIGC341D;CIG1233;21342;C160;M1034;MN8;21195;WW270397;M1256;A01793497;M0408;M2;552053;M809;58-424;68-397;C101;M876;aureus_M1015;M899;65-1322;E1410;TCH60;122051;WBG10049;21202;21200;A9635;CIG1524;M0877;CA-347;M1311;CIG290;21252;M0396;CIGC93;M0239;21340;21266;KLT6;21262;IS-160;M013;PM1;O46;O11;LGA251;ED1 [...]
+blaZ_SAR1831_1117	IS-189;M0881;IS-250;IS-K;C427;Btn1260;CGS00;21264;21345;CIG149;CIG1176;CIG1500;CIG1214;CIG1267;CIG1605;M0513;MRSA252;EMRSA16;CIG1242;M0946;CIGC341D;CIG1233;21342;C160;M1034;MN8;WW270397;M1256;A01793497;M0408;552053;M809;58-424;C101;M876;aureus_M1015;M899;65-1322;E1410;TCH60;122051;WBG10049;21200;A9635;CIG1524;M0877;CA-347;M1311;CIG290;M0396;M0239;21340;21266;IS-160;PM1;ED133;M1228;HO_5096_0412;21310;LVP2;3957;118;KTY21;VH60;120;333;3989;GR1;VH221;TCH130;21305;21193;S180 [...]
+tetR_SAR2464_2858	M0881;IS-250	IS-189;IS-K;MSHR1132;C427;LCT-SA112;Btn1260;CGS00;21264;21345;CIG149;CIG1176;CIG1500;CIG1214;CIG1267;CIG1605;M0513;MRSA252;EMRSA16;CIG1242;M0946;CIGC341D;CIG1233;21342;C160;M1034;MN8;21195;WW270397;M1256;A01793497;M0408;M2;552053;M809;58-424;68-397;C101;M876;aureus_M1015;M899;65-1322;E1410;TCH60;122051;WBG10049;21202;21200;A9635;CIG1524;M0877;CA-347;M1311;CIG290;21252;M0396;CIGC93;M0239;21340;21266;KLT6;21262;IS-160;M013;PM1;O46;O11;LGA251;ED133;M1228;HO_50 [...]
+mecA_SARLGA251_00260_15240	LGA251	IS-189;M0881;IS-250;IS-K;MSHR1132;C427;LCT-SA112;Btn1260;CGS00;21264;21345;CIG149;CIG1176;CIG1500;CIG1214;CIG1267;CIG1605;M0513;MRSA252;EMRSA16;CIG1242;M0946;CIGC341D;CIG1233;21342;C160;M1034;MN8;21195;WW270397;M1256;A01793497;M0408;M2;552053;M809;58-424;68-397;C101;M876;aureus_M1015;M899;65-1322;E1410;TCH60;122051;WBG10049;21202;21200;A9635;CIG1524;M0877;CA-347;M1311;CIG290;21252;M0396;CIGC93;M0239;21340;21266;KLT6;21262;IS-160;M013;PM1;O46;O11;ED133;M1 [...]
+mecA_SAR0039_360	IS-189;M0881;IS-250;IS-K;MSHR1132;21345;CIG149;CIG1176;CIG1500;CIG1214;CIG1267;CIG1605;M0513;MRSA252;EMRSA16;CIG1242;M0946;CIGC341D;CIG1233;21195;WW270397;M1256;A01793497;M2;E1410;TCH60;122051;WBG10049;A9635;CIG1524;M0877;CA-347;M1311;21262;IS-160;M013;PM1;ED133;M1228;HO_5096_0412;IS-105;LVP2;3957;118;KTY21;VH60;120;333;3989;GR1;21193;S1800;103564;21333;11819-97;CIGC128;TCH70;CIG1835;MW2;KT314250;M1216;IS-55;H19;JKD6159;21343;M140olga;71193;ST398;08BA02176;M1093;CBD-635; [...]
+tet(L)_pKKS627_p3_5722	M0408;ST398	IS-189;M0881;IS-250;IS-K;MSHR1132;C427;LCT-SA112;Btn1260;CGS00;21264;21345;CIG149;CIG1176;CIG1500;CIG1214;CIG1267;CIG1605;M0513;MRSA252;EMRSA16;CIG1242;M0946;CIGC341D;CIG1233;21342;C160;M1034;MN8;21195;WW270397;M1256;A01793497;M2;552053;M809;58-424;68-397;C101;M876;aureus_M1015;M899;65-1322;E1410;TCH60;122051;WBG10049;21202;21200;A9635;CIG1524;M0877;CA-347;M1311;CIG290;21252;M0396;CIGC93;M0239;21340;21266;KLT6;21262;IS-160;M013;PM1;O46;O11;LGA251;ED133; [...]
+blaR1_SAR1830_3579	IS-189;M0881;IS-250;IS-K;C427;Btn1260;CGS00;21264;21345;CIG149;CIG1176;CIG1500;CIG1214;CIG1267;CIG1605;M0513;MRSA252;EMRSA16;CIG1242;M0946;CIGC341D;CIG1233;21342;C160;M1034;MN8;WW270397;M1256;A01793497;M0408;552053;M809;58-424;68-397;C101;M876;aureus_M1015;M899;65-1322;E1410;TCH60;122051;WBG10049;21200;A9635;CIG1524;M0877;CA-347;M1311;CIG290;M0396;M0239;21340;21266;IS-160;PM1;ED133;M1228;HO_5096_0412;IS-105;21310;LVP2;3957;118;KTY21;VH60;120;333;3989;GR1;VH221;TCH130;2 [...]
+ermA_SAR0050_854	IS-189;Btn1260;CGS00;CIG149;CIG1176;CIG1500;CIG1214;CIG1267;CIG1605;M0513;MRSA252;EMRSA16;CIG1242;M0946;CIGC341D;CIG1233;M1034;A01793497;M0408;M2;58-424;68-397;M899;65-1322;M0877;CA-347;M1311;M1216;21334;RF122;M1093;CBD-635;M0478;M1255;M0646;M0692;M0571;M0045;M0799;A8796;M1109;M1244;M0823;M1063;M1466;M0150;M0719;M0270;M0197;M1061;M0586;M0602;M0934;M0306;M1565;M0001;M1044;M1015;A6224;A6300;M0687;M0528;M0108;CIG1769;A10102;04-02981;A9763;M1407;M1253;M0536;M0391;M0329;M0695 [...]
+tet38_SAR0139_764	M0881;IS-250;IS-K;IS-24	IS-189;MSHR1132;C427;LCT-SA112;Btn1260;CGS00;21264;21345;CIG149;CIG1176;CIG1500;CIG1214;CIG1267;CIG1605;M0513;MRSA252;EMRSA16;CIG1242;M0946;CIGC341D;CIG1233;21342;C160;M1034;MN8;21195;WW270397;M1256;A01793497;M0408;M2;552053;M809;58-424;68-397;C101;M876;aureus_M1015;M899;65-1322;E1410;TCH60;122051;WBG10049;21202;21200;A9635;CIG1524;M0877;CA-347;M1311;CIG290;21252;M0396;CIGC93;M0239;21340;21266;KLT6;21262;IS-160;M013;PM1;O46;O11;LGA251;ED133;M1228 [...]
+mecI_SAR0041_5571	21345;CIG149;CIG1176;CIG1500;CIG1214;CIG1267;CIG1605;M0513;MRSA252;EMRSA16;CIG1242;M0946;CIGC341D;CIG1233;M0877;CA-347;M1311;RF122;M1093;CBD-635;M0478;M1255;M0646;M0692;M0571;M0045;M0799;A8796;M1109;M1244;M0823;M1063;M1466;M0150;M0719;M0270;M0197;M1061;M0586;M0602;M0934;M0306;M1565;M0001;M1044;M1015;A6224;A6300;M0687;M0528;M0108;CIG1769;A10102;04-02981;A9763;M1407;M1253;M0536;M0391;M0329;M0695;M0240;M0237;M1563;M1531;M0102;N315;CIG1057;VRS5;VRS4;Mu50;Mu50-omega;Mu3;NN54 [...]
+mecR1_SAR0040_3853	IS-189;21345;CIG149;CIG1176;CIG1500;CIG1214;CIG1267;CIG1605;M0513;MRSA252;EMRSA16;CIG1242;M0946;CIGC341D;CIG1233;M0877;CA-347;M1311;RF122;M1093;CBD-635;M0478;M1255;M0646;M0692;M0571;M0045;M0799;A8796;M1109;M1244;M0823;M1063;M1466;M0150;M0719;M0270;M0197;M1061;M0586;M0602;M0934;M0306;M1565;M0001;M1044;M1015;A6224;A6300;M0687;M0528;M0108;CIG1769;A10102;04-02981;A9763;M1407;M1253;M0536;M0391;M0329;M0695;M0240;M0237;M1563;M1531;M0102;N315;CIG1057;VRS5;VRS4;Mu50;Mu50-omega; [...]
diff --git a/datasets/sau461/input/strains.txt b/datasets/sau461/input/strains.txt
new file mode 100644
index 0000000..87003a9
--- /dev/null
+++ b/datasets/sau461/input/strains.txt
@@ -0,0 +1,462 @@
+M0035
+aureus_103564
+S1
+aureus_M1015
+aureus_DSM_20231
+aureus_21305
+aureus_T0131
+aureus_TCH70
+aureus_CIG2018
+aureus_Mu50-omega
+aureus_122051
+aureus_132
+aureus_CIG1835
+aureus_MR1
+aureus_LGA251
+S100
+aureus_68-397
+aureus_Mu3
+M1126
+aureus_GR1
+ST22816035
+SA_ST125_MupR
+M0602
+aureus_MSSA476
+M0539
+RN4220
+aureus_M013
+M0280
+M0531
+aureus_SA40
+M0235
+PM1
+M1533
+CA-347
+M1531
+M0450
+aureus_CIG1213
+aureus_CIG1214
+M0455
+aureus_M899
+M0799
+aureus_21272
+aureus_CIGC348
+aureus_D139
+A9635
+B40950
+M0692
+M0695
+aureus_CBD-635
+M0326
+NN54
+KTY21
+aureus_21282
+aureus_21283
+PPUKM-775-2009
+M0328
+M0329
+M1228
+M1229
+A8796
+ST239
+aureus_118
+aureus_CIGC93
+M1394
+M1224
+M0391
+aureus_TCH130
+M0396
+aureus_CIG290
+aureus_MSHR1132
+O46
+aureus_ST398
+B40723
+A6224
+M1142
+O11
+M0823
+M0822
+aureus_M876
+aureus_CM05
+M0250
+M0252
+aureus_CIG1165
+M0628
+aureus_IS-125
+M0438
+aureus_21189
+M0306
+aureus_CIG1769
+M0200
+aureus_CIG1605
+aureus_21331
+SA16
+M0622
+HI111
+M0363
+S94
+aureus_IS-55
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diff --git a/datasets/sau461/input/strains_ordered.txt b/datasets/sau461/input/strains_ordered.txt
new file mode 100644
index 0000000..f9fc844
--- /dev/null
+++ b/datasets/sau461/input/strains_ordered.txt
@@ -0,0 +1,461 @@
+M0881
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diff --git a/datasets/sau461/input/tree.txt b/datasets/sau461/input/tree.txt
new file mode 100644
index 0000000..01db36c
--- /dev/null
+++ b/datasets/sau461/input/tree.txt
@@ -0,0 +1 @@
+((M0881,(aureus_IS-K,aureus_IS-250)),(aureus_MSHR1132,(((aureus_21252,aureus_CIG290),((aureus_21202,aureus_PS187),((M1311,CA-347),((A9635,M0877,aureus_CIG1524),(aureus_21200,aureus_21194))))),(((S130,(((aureus_ST398,(aureus_M140olga,S1)),(S123,08BA02176)),((S100,aureus_21331,S94),(aureus_71193,aureus_DR10)))),((aureus_C427,(aureus_21342,aureus_C160)),((aureus_552053,((aureus_58-424,aureus_65-1322),(((aureus_C101,aureus_M1015,aureus_M809),(aureus_M876,aureus_M899)),(aureus_68-397,aureus_E [...]
diff --git a/gwamar.py b/gwamar.py
new file mode 100644
index 0000000..0a31cb9
--- /dev/null
+++ b/gwamar.py
@@ -0,0 +1,359 @@
+import sys
+import os
+import time
+import platform
+
+def getGWAMARPathRun(run_path, cmd_path):
+    full_path = os.path.abspath(os.path.join(run_path, cmd_path))
+    gwamar_path = os.path.dirname(full_path)
+    return gwamar_path + "/"
+
+run_path = os.path.abspath(os.curdir)
+cmd_path = sys.argv[0]
+gwamar_path = getGWAMARPathRun(run_path, cmd_path)
+os.chdir(gwamar_path)
+
+sys.path += ["src/"]
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_utils import logExecutionTime
+
+if sys.version.startswith("3"):
+    raw_input = input
+
+def createCommandParams(attrs, parameters):
+    new_cmd = ""
+    for key in attrs:
+        if key in parameters:
+            new_cmd += " " + key + "=" + parameters[key]
+    return new_cmd
+
+def prepare(parameters):
+    os.chdir(os.path.abspath("src/drsoft/prepare/"))
+
+    params = ["D", "REVORDER", "SCORES", "OW", "W", "GEN_BIN_PROFILES", 
+     "MT", "EP", "TREE_ID"]
+    passed_params = createCommandParams(params, parameters)
+
+    t0_time = time.time()
+    if os.system(python_cmd + " p0_save_strains_ordered.py" + passed_params): exit()
+    if os.system(python_cmd + " p1_prepare_experiments.py" + passed_params): exit()
+    if os.system(python_cmd + " p2_convert_profiles_genes.py" + passed_params): exit()
+    if os.system(python_cmd + " p3_convert_profiles_muts.py" + passed_params): exit()
+    if os.system(python_cmd + " p4_gen_binary_trees.py" + passed_params): exit()
+    if os.system(python_cmd + " p5_cmp_resistance_profiles.py" + passed_params): exit()
+    t1_time = time.time()
+    os.chdir("../../../")
+    logExecutionTime(t1_time - t0_time, "prepare")
+    
+def scores_std(parameters):
+    os.chdir(os.path.abspath("src/drsoft/scoring/"))
+
+    params = ["D", "REVORDER", "SCORES", "OW", "W", "GEN_BIN_PROFILES", 
+    "MT", "EP"]
+    passed_params = createCommandParams(params, parameters)
+
+    print(passed_params)
+    t0_time = time.time()
+    if os.system(python_cmd + " sc1_compute_std_scores.py" + passed_params): exit()
+    if os.system(python_cmd + " sc2_save_std_rankings.py" + passed_params): exit()
+    t1_time = time.time()
+    os.chdir("../../../")
+    logExecutionTime(t1_time - t0_time, "scores_std")
+
+def scores_ranks(parameters):
+    os.chdir(os.path.abspath("src/drsoft/scoring/"))
+
+    params = ["D", "REVORDER", "SCORES", "OW", "W", "GEN_BIN_PROFILES", 
+     "MT", "EP"]
+    passed_params = createCommandParams(params, parameters)
+
+    print(passed_params)
+    t0_time = time.time()
+    if os.system(python_cmd + " sc2_save_std_rankings.py" + passed_params): exit()
+    t1_time = time.time()
+    os.chdir("../../../")
+    logExecutionTime(t1_time - t0_time, "scores_ranks")
+    
+def scores_pvalues(parameters):
+    os.chdir(os.path.abspath("src/drsoft/scoring/"))
+
+    params = ["D", "REVORDER", "SCORES",  "OW", "W", "GEN_BIN_PROFILES", 
+     "MT", "EP"]
+    passed_params = createCommandParams(params, parameters)
+
+    t0_time = time.time()
+    if os.system(python_cmd + " sc3_compute_perm_scores.py" + passed_params): exit()
+    if os.system(python_cmd + " sc4_save_perm_rankings.py" + passed_params): exit()
+    t1_time = time.time()
+    os.chdir("../../../")
+    logExecutionTime(t1_time - t0_time, "scores_pvalues")
+    
+def scores_norm(parameters):
+    os.chdir(os.path.abspath("src/drsoft/scoring/"))
+
+    params = ["D", "REVORDER", "SCORES",  "OW", "W", "GEN_BIN_PROFILES", 
+     "MT", "EP"]
+    passed_params = createCommandParams(params, parameters)
+
+    t0_time = time.time()
+    if os.system(python_cmd + " sc7_compute_norm_scores.py" + passed_params): exit()
+    t1_time = time.time()
+    os.chdir("../../../")
+    logExecutionTime(t1_time - t0_time, "scores_norm")
+    
+
+def perm_test(parameters):
+    os.chdir(os.path.abspath("src/drsoft/permtest/"))
+
+    params = ["D", "REVORDER", "SCORES",  "OW", "W", "GEN_BIN_PROFILES", 
+     "MT", "EP"]
+    passed_params = createCommandParams(params, parameters)
+
+    t0_time = time.time()
+    if os.system(python_cmd + " perm1_generate_res_profiles.py" + passed_params): exit()
+    if os.system(python_cmd + " perm2_compute_perm_rep_scores.py" + passed_params): exit()
+    if os.system(python_cmd + " perm3_save_perm_rep_rankings.py" + passed_params): exit()
+    if os.system(python_cmd + " perm4_compute_perm_comb_scores.py" + passed_params): exit()
+    if os.system(python_cmd + " perm5_combine_perm_rep_scores.py" + passed_params): exit()
+    if os.system(python_cmd + " perm6_calc_pvalues.py" + passed_params): exit()
+    t1_time = time.time()
+    os.chdir("../../../")
+    logExecutionTime(t1_time - t0_time, "perm_test")
+    
+def analysis1(parameters):
+    os.chdir(os.path.abspath("src/drsoft/analysis/"))
+
+    params = ["D", "REVORDER", "SCORES", "OW", "W", "GEN_BIN_PROFILES", 
+     "MT", "EP", "SCORE_SORT"]
+    passed_params = createCommandParams(params, parameters)
+
+    t0_time = time.time()
+    if os.system(python_cmd + " a1_save_details_scores_all.py" + passed_params): exit()
+    if os.system(python_cmd + " a2_save_details_scores_sel.py" + passed_params): exit()
+ 
+    t1_time = time.time()
+    os.chdir("../../../")
+    logExecutionTime(t1_time - t0_time, "analysis")
+
+def analysis2(parameters):
+    os.chdir(os.path.abspath("src/drsoft/analysis/"))
+
+    params = ["D", "REVORDER", "SCORES", "OW", "W", "GEN_BIN_PROFILES", 
+     "MT", "EP", "SCORE_SORT"]
+    passed_params = createCommandParams(params, parameters)
+
+    t0_time = time.time()
+    if os.system(python_cmd + " a3_save_associations_all.py" + passed_params): exit()
+    if os.system(python_cmd + " a4_save_associations_sel.py" + passed_params): exit()
+    
+    t1_time = time.time()
+    os.chdir("../../../")
+    logExecutionTime(t1_time - t0_time, "analysis2")
+
+def other(parameters):
+    os.chdir(os.path.abspath("src/drsoft/other/"))
+
+    params = ["D", "REVORDER", "SCORES", "OW", "W", "GEN_BIN_PROFILES", 
+     "MT", "EP"]
+    passed_params = createCommandParams(params, parameters)
+
+    t0_time = time.time()
+    if os.system(python_cmd + " show0_gold_associations.py" + passed_params): exit()
+    
+    t1_time = time.time()
+    os.chdir("../../../")
+    logExecutionTime(t1_time - t0_time, "other")
+
+def comparisonF(parameters):
+    os.chdir(os.path.abspath("src/drsoft/comparison/"))
+
+    params = ["D", "REVORDER", "SCORES", "OW", "W", "GEN_BIN_PROFILES", 
+    "MT",  "EP", "RAND", "SUBSETS", "STATS"]
+    passed_params = createCommandParams(params, parameters)
+
+    t0_time = time.time()
+    #if os.system(python_cmd + " cmp2_auc_stats.py" + passed_params): exit()
+    if os.system(python_cmd + " cmp3_draw_figures.py" + passed_params): exit()
+    t1_time = time.time()
+    os.chdir("../../../")
+    logExecutionTime(t1_time - t0_time, "comparisonF")
+
+def comparison3(parameters):
+    os.chdir(os.path.abspath("src/drsoft/comparison/"))
+
+    params = ["D", "REVORDER", "SCORES", "OW", "W", "GEN_BIN_PROFILES", 
+     "MT",  "EP", "RAND", "SUBSETS", "STATS"]
+    passed_params = createCommandParams(params, parameters)
+
+    t0_time = time.time()
+    if os.system(python_cmd + " cmp2_auc_stats.py" + passed_params): exit()
+    t1_time = time.time()
+    os.chdir("../../../")
+    logExecutionTime(t1_time - t0_time, "comparison2")
+
+def comparison2(parameters):
+    os.chdir(os.path.abspath("src/drsoft/comparison/"))
+
+    params = ["D", "REVORDER", "SCORES", "OW", "W", "GEN_BIN_PROFILES", 
+     "MT",  "EP", "RAND", "SUBSETS", "STATS"]
+    passed_params = createCommandParams(params, parameters)
+
+    t0_time = time.time()
+    if os.system(python_cmd + " cmp1_prec-recall_stats.py" + passed_params): exit()
+    t1_time = time.time()
+    os.chdir("../../../")
+    logExecutionTime(t1_time - t0_time, "comparison2")
+
+def comparison1(parameters):
+    os.chdir(os.path.abspath("src/drsoft/comparison/"))
+
+    params = ["D", "REVORDER", "SCORES", "OW", "W", "GEN_BIN_PROFILES", 
+     "MT", "EP", "SUBSETS"]
+    passed_params = createCommandParams(params, parameters)
+
+    t0_time = time.time()
+    if os.system(python_cmd + " cmp0_save_associations.py" + passed_params): exit()
+    t1_time = time.time()
+    os.chdir("../../../")
+    logExecutionTime(t1_time - t0_time, "comparison1")
+
+def comp_mutations(parameters):
+    os.chdir(os.path.abspath("src/drsoft/compensatory/"))
+
+    params = ["D", "REVORDER", "SCORES", "OW", "W", "GWAMAR_DATASETS"]
+    passed_params = createCommandParams(params, parameters)
+
+    t0_time = time.time()
+    if os.system(python_cmd + " show0_save_putative_muts.py" + passed_params): exit()
+    if os.system(python_cmd + " show1_latex_rpoB_figure.py" + passed_params): exit()
+    if os.system(python_cmd + " show2_latex_rpoB_table.py" + passed_params): exit()
+    #if os.system(python_cmd + " show3_show_comp_rels.py" + passed_params): exit()
+    t1_time = time.time()
+    os.chdir("../../../")
+    logExecutionTime(t1_time - t0_time, "comp_mutations")
+
+
+def preparebroad(parameters):
+    os.chdir(os.path.abspath("src/prebroad/prepare/"))
+
+    params = ["D", "REVORDER", "SCORES", "OW", "W", "GWAMAR_DATASETS", 
+     "RAXML_TYPE", "RAXML_REP", "TREE_SOFT"]
+    passed_params = createCommandParams(params, parameters)
+
+    t0_time = time.time()
+    if os.system(python_cmd + " p1_download_files.py" + passed_params): exit()
+    if os.system(python_cmd + " p2_save_strains.py" + passed_params): exit()
+    if os.system(python_cmd + " p3_save_resdata.py" + passed_params): exit()
+    if os.system(python_cmd + " p4_combine_resistance_profiles.py" + passed_params): exit()
+    if os.system(python_cmd + " p5_save_point_mutations_aa.py" + passed_params): exit()
+    t1_time = time.time()
+    os.chdir("../../../")
+    logExecutionTime(t1_time - t0_time, "preparebroad")
+
+def preparebroadtree(parameters):
+    os.chdir(os.path.abspath("src/prebroad/tree/"))
+
+    params = ["D", "REVORDER", "SCORES", "OW", "W", "GWAMAR_DATASETS", 
+     "RAXML_TYPE", "RAXML_REP", "TREE_SOFT"]
+    passed_params = createCommandParams(params, parameters)
+
+    t0_time = time.time()
+    if os.system(python_cmd + " t0_save_point_mutations_nt.py" + passed_params): exit()
+    if os.system(python_cmd + " t1_prepare_alignments.py" + passed_params): exit()
+    if os.system(python_cmd + " t2_compute_subset_tree.py" + passed_params): exit()
+    if os.system(python_cmd + " t3_resolve_clusters.py" + passed_params): exit()
+    if os.system(python_cmd + " t4_save_strains_ordered.py" + passed_params): exit()
+    t1_time = time.time()
+    os.chdir("../../../")
+    logExecutionTime(t1_time - t0_time, "preparebroadtree")
+
+def print_help(parameters):
+    print("You have not specified the -a parameter or specified it as =h (help)")
+    print("For more help, please visit "+"http://bioputer.mimuw.edu.pl/gwamar/")
+
+if __name__ == '__main__':
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = int(parameters["W"])
+
+    python_cmd = sys.executable
+    action = parameters["A"].upper()
+    
+    if action == "P":
+        datasets = parameters.get("D").split(",")
+        for dataset in datasets:
+            parameters["D"] = dataset
+            prepare(parameters)
+    elif action in ["H", "HELP"]:
+        print_help(parameters)
+    elif action == "O":
+        other(parameters)
+    elif action == "S":
+        datasets = parameters.get("D").split(",")
+        for dataset in datasets:
+            parameters["D"] = dataset
+            scores_std(parameters)
+    elif action == "SR":
+        datasets = parameters.get("D").split(",")
+        for dataset in datasets:
+            parameters["D"] = dataset
+            scores_ranks(parameters)
+    elif action == "SN":
+        scores_norm(parameters)
+    elif action == "SP":
+        scores_pvalues(parameters)
+    elif action == "PV":
+        perm_test(parameters)
+    elif action in ["A1", "AS1"]:
+        datasets = parameters.get("D").split(",")
+        for dataset in datasets:
+            parameters["D"] = dataset
+            analysis1(parameters)
+    elif action in ["A2", "AS2"]:
+        datasets = parameters.get("D").split(",")
+        for dataset in datasets:
+            parameters["D"] = dataset
+            analysis2(parameters)
+    elif action in ["A", "AS"]:
+        datasets = parameters.get("D").split(",")
+        for dataset in datasets:
+            parameters["D"] = dataset
+            analysis1(parameters)
+            analysis2(parameters)
+    elif action in ["C", "CMP"]:
+        datasets = parameters.get("D").split(",")
+        for dataset in datasets:
+            parameters["D"] = dataset
+            comparison1(parameters)
+            comparison2(parameters)
+            comparison3(parameters)
+        parameters["D"] = ",".join(datasets)
+        comparisonF(parameters)
+    elif action in ["C1", "CMP1"]:
+        datasets = list(parameters.get("D").split(","))
+        for dataset in datasets:
+            parameters["D"] = dataset
+            comparison1(parameters)
+    elif action in ["C2", "CMP2"]:
+        datasets = list(parameters.get("D").split(","))
+        for dataset in datasets:
+            parameters["D"] = dataset
+            comparison2(parameters)
+    elif action in ["C2", "CMP3"]:
+        datasets = list(parameters.get("D").split(","))
+        for dataset in datasets:
+            parameters["D"] = dataset
+            comparison3(parameters)
+    elif action in ["CF", "CMPF"]:
+        comparisonF(parameters)
+    elif action == "CM":
+        comp_mutations(parameters)
+    elif action == "PB":
+        preparebroad(parameters)
+        preparebroadtree(parameters)
+    elif action == "PBT":
+        preparebroadtree(parameters)
+    else:
+        print("Unknown action: " + action);
diff --git a/other/cctsweep/bm.sh b/other/cctsweep/bm.sh
new file mode 100644
index 0000000..8beeb04
--- /dev/null
+++ b/other/cctsweep/bm.sh
@@ -0,0 +1,104 @@
+set lide deslist[0 %1];
+if (’Bcal[’lide[0]’]’ <0)
+if(’lide[0]’<(ntax+1))
+set B[’lide[0]’ 0 0 0 0] 1;
+set Bcal[’lide[0]’] 1;
+else
+recurse ’lide[0]’ %2 %3 %4 %5 %6;
+set lide deslist[0 %1];
+end;
+end;
+if (’Bcal[’lide[1]’]’ <0)
+if(’lide[1]’<(ntax+1))
+set B[’lide[1]’ 0 0 0 0] 1;
+set Bcal[’lide[1]’] 1;
+else
+recurse ’lide[1]’ %2 %3 %4 %5 %6;
+set lide deslist[0 %1];
+end;
+end;
+set ancstate states[%6 %1 0];
+if (’ancstate’>2)
+set ancstate 1;
+end;
+set decstat1 states[%6 ’lide[0]’ 0];
+if (’decstat1’>2)
+set decstat1 1;
+end;
+set decstat2 states[%6 ’lide[1]’ 0];
+if (’decstat2’>2)
+set decstat2 1;
+end;
+set isblack1 ’decstat1’-’ancstate’;
+set isblack2 ’decstat2’-’ancstate’;
+if(%1 > ntax)
+loop 0 %2
+loop 0 %3
+loop 0 %4
+loop 0 %5
+loop 0 #3
+loop 0 #4
+loop 0 #1
+loop 0 #2
+set temp ’temp’+(’B[’lide[0]’ #7 #8\
+#5 #6 ]’*’B[’lide[1]’ (#1-#7) (#2-#8)\
+(#3-#5) (#4-#6)]’);
+stop;
+stop;
+stop;
+stop;
+if ((#3-1)>=0)
+loop 0 (#3-1)
+loop 0 #4
+if ((#1-’isblack2’)>=0)
+loop 0 (#1-’isblack2’)
+loop 0 #2
+set temp ’temp’+(’B[’lide[0]’ #7 #8\
+#5 #6 ]’*’B[’lide[1]’ (#2-#8) ((#1-\
+’isblack2’)-#7) (#4-#6) (#3-#5-1)]’);
+stop;
+stop;
+end;
+stop;
+stop;
+end;
+if((#3-1)>=0)
+loop 0 (#3-1)
+loop 0 #4
+if ((#1-’isblack1’)>=0)
+loop 0 (#1-’isblack1’)
+loop 0 #2
+set temp ’temp’+(’B[’lide[0]’ #8 #7\
+#6 #5 ]’*’B[’lide[1]’ ((#1-’isblack1’)\
+-#7) (#2-#8) (#3-#5-1) (#4-#6)]’);
+stop;
+stop;
+end;
+stop;
+stop;
+end;
+if ((#3-2)>=0)
+loop 0 (#3-2)
+loop 0 #4
+if ((#1-’isblack1’-’isblack2’)>=0)
+loop 0 (#1-’isblack1’-’isblack2’)
+loop 0 #2
+set temp ’temp’+(’B[’lide[0]’ #8 #7\
+#6 #5 ]’*’B[’lide[1]’ (#2-#8) ((#1\
+-’isblack1’-’isblack2’)-#7) (#4-#6)\
+(#3-#5-2)]’);
+stop;
+stop;
+end;
+stop;
+stop;
+end;
+set B[%1 #1 #2 #3 #4] ’temp’;
+set temp 0;
+stop;
+stop;
+stop;
+stop;
+end;
+set Bcal[%1] 1;
+proc/;
diff --git a/other/cctsweep/cct.sh b/other/cctsweep/cct.sh
new file mode 100644
index 0000000..4dd742b
--- /dev/null
+++ b/other/cctsweep/cct.sh
@@ -0,0 +1,114 @@
+loop 1 nchar
+set wgain 0;
+set wloss 0;
+set bgain 0;
+set bloss 0;
+set root states[#1 (ntax+1) 0];
+if (’root’ > 2)
+set root 1;
+end;
+loop (ntax+1) nnodes[0]
+set lide deslist[0 #2];
+set charstanc states[#1 #2 0];
+if(’charstanc’ > 2)
+set charstanc ’root’;
+end;
+set charstdec states[#1 ’lide[0]’ 0];
+if (’charstdec’ > 3)
+set charstdec ’charstanc’;
+else
+if (’charstdec’ > 2)
+set charstdec ’root’;
+end;
+end;
+set ancstate states[0 #2 0];
+if (’ancstate’>2)
+set ancstate 1;
+end;
+set decstat1 states[0 ’lide[0]’ 0];
+if (’decstat1’>2)
+set decstat1 1;
+end;
+set decstat2 states[0 ’lide[1]’ 0];
+if (’decstat2’>2)
+set decstat2 1;
+end;
+set isblack1 ’decstat1’-’ancstate’;
+set isblack2 ’decstat2’-’ancstate’;
+if(’charstanc’<’charstdec’)
+set wgain ’wgain’+1;
+if (’isblack1’==1)
+set bgain ’bgain’+1;
+end;
+else
+if(’charstanc’>’charstdec’)
+set wloss ’wloss’+1;
+if (’isblack1’==1)
+set bloss ’bloss’+1;
+end;
+end;
+end;
+set charstdec states[#1 ’lide[1]’ 0];
+if (’charstdec’ > 3)
+set charstdec ’charstanc’;
+else
+if (’charstdec’ > 2)
+set charstdec ’root’;
+end;
+end;
+if(’charstanc’<’charstdec’)
+set wgain ’wgain’+1;
+if (’isblack2’==1)
+set bgain ’bgain’+1;
+end;
+else
+if(’charstanc’>’charstdec’)
+set wloss ’wloss’+1;
+if (’isblack2’==1)
+set bloss ’bloss’+1;
+end;
+end;
+end;
+stop;
+set btot 0;
+set temp ’btot’;
+if (states[#1 (ntax+1) 0]==2)
+if ((’bgain’-’bloss’)>=0)
+loop (’bgain’-’bloss’) ’wgain’
+loop 0 (#2-(’bgain’-’bloss’))
+set btot ’btot’+’B[(ntax+1) #3 #2 ’wloss’ ’wgain’]’;
+stop;
+stop;
+else
+loop (’bloss’-’bgain’) ’wloss’
+loop 0 (#2-(’bloss’-’bgain’))
+set btot ’btot’+’B[(ntax+1) #2 #3 ’wloss’ ’wgain’]’;
+stop;
+stop;
+end;
+else
+if ((’bgain’-’bloss’)>=0)
+loop (’bgain’-’bloss’) ’wgain’
+loop 0 (#2-(’bgain’-’bloss’))
+set btot ’btot’+’B[(ntax+1) #2 #3 ’wgain’ ’wloss’]’;
+stop;
+stop;
+else
+loop (’bloss’-’bgain’) ’wloss’
+loop 0 (#2-(’bloss’-’bgain’))
+set btot ’btot’+’B[(ntax+1) #3 #2 ’wgain’ ’wloss’]’;
+stop;
+stop;
+end;
+end;
+set temp ’btot’;
+if (states[#1 (ntax+1) 0]==2)
+set cct ’btot’/’W[(ntax+1) ’wgain’ ’wloss’ 1]’;
+quote #1 1 ’wgain’ ’wloss’ ’bgain’ ’bloss’\
+’W[(ntax+1) ’wgain’ ’wloss’ 1]’ ’btot’ ’cct’;
+else
+set cct ’btot’/’W[(ntax+1) ’wgain’ ’wloss’ 0]’;
+quote #1 0 ’wgain’ ’wloss’ ’bgain’ ’bloss’\
+’W[(ntax+1) ’wgain’ ’wloss’ 0]’ ’btot’ ’cct’;
+end;
+stop;
diff --git a/other/cctsweep/init.sh b/other/cctsweep/init.sh
new file mode 100644
index 0000000..3090f07
--- /dev/null
+++ b/other/cctsweep/init.sh
@@ -0,0 +1,29 @@
+var =
+0 temp
++charstanc
++charstdec
++Bcal[(nnodes[0]+1)]
++B[(nnodes[0]+1) tg tg bg bg]
++lide[2]
++Wcal[(nnodes[0]+1)]
++W[(nnodes[0]+1) tgain tgain 2]
++numb[(nnodes[0]+1)]
++wloss
++wgain
++bloss
++bgain
++stroot
++ancstate
++decstat1
++decstat2
++isblack1
++isblack2
++gainloss
++bgainloss
++btot
++cct
++root;
+loop 0 (nnodes[0])
+set Bcal[#1] (-1);
+set Wcal[#1] (-1);
+stop;
diff --git a/other/cctsweep/wm.sh b/other/cctsweep/wm.sh
new file mode 100644
index 0000000..3605a78
--- /dev/null
+++ b/other/cctsweep/wm.sh
@@ -0,0 +1,63 @@
+set temp 0;
+set lide deslist[0 %1];
+if (’Wcal[’lide[0]’]’ <0)
+if(’lide[0]’<(ntax+1))
+set W[’lide[0]’ 0 0 0] 1;
+set W[’lide[0]’ 0 0 1] 1;
+set Wcal[’lide[0]’] 1;
+else
+recurse ’lide[0]’ %2 %3;
+set lide deslist[0 %1];
+end;
+end;
+if (’Wcal[’lide[1]’]’ <0)
+if(’lide[1]’<(ntax+1))
+set W[’lide[1]’ 0 0 0] 1;
+set W[’lide[1]’ 0 0 1] 1;
+set Wcal[’lide[1]’] 1;
+else
+recurse ’lide[1]’ %2 %3;
+set lide deslist[0 %1];
+end;
+end;
+if(%1 > ntax)
+loop 0 %2
+loop 0 %3
+loop 0 #1
+loop 0 #2
+set temp ’temp’+(’W[’lide[0]’ #3 #4 0]’*’W[’lide[1]’\
+(#1-#3) (#2-#4) 0]’);
+stop;
+stop;
+if ((#1-1)>=0)
+loop 0 (#1-1)
+loop 0 #2
+set temp ’temp’+(’W[’lide[0]’ #3 #4 0]’*’W[’lide[1]’\
+(#1-#3-1) (#2-#4) 1]’);
+stop;
+stop;
+end;
+if((#1-1)>=0)
+loop 0 (#1-1)
+loop 0 #2
+set temp ’temp’+(’W[’lide[0]’ #3 #4 1]’*’W[’lide[1]’\
+(#1-#3-1) (#2-#4) 0]’);
+stop;
+stop;
+end;
+if ((#1-2)>=0)
+loop 0 (#1-2)
+loop 0 #2
+set temp ’temp’+(’W[’lide[0]’ #3 #4 1]’*’W[’lide[1]’\
+(#1-#3-2) (#2-#4) 1]’);
+stop;
+stop;
+end;
+set W[%1 #1 #2 0] ’temp’;
+set W[%1 #2 #1 1] ’temp’;
+set temp 0;
+stop;
+stop;
+end;
+set Wcal[%1] 1;
+proc/;
diff --git a/other/comp_data/Elementy eksportowane.bib b/other/comp_data/Elementy eksportowane.bib
new file mode 100644
index 0000000..818b557
--- /dev/null
+++ b/other/comp_data/Elementy eksportowane.bib	
@@ -0,0 +1,99 @@
+
+ at article{comas_whole-genome_2012,
+	title = {Whole-genome sequencing of rifampicin-resistant Mycobacterium tuberculosis strains identifies compensatory mutations in {RNA} polymerase genes},
+	volume = {44},
+	copyright = {© 2011 Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.},
+	issn = {1061-4036},
+	url = {http://www.nature.com/ng/journal/v44/n1/full/ng.1038.html},
+	doi = {10.1038/ng.1038},
+	abstract = {Epidemics of drug-resistant bacteria emerge worldwide, even as resistant strains frequently have reduced fitness compared to their drug-susceptible counterparts. Data from model systems suggest that the fitness cost of antimicrobial resistance can be reduced by compensatory mutations; however, there is limited evidence that compensatory evolution has any significant role in the success of drug-resistant bacteria in human populations. Here we describe a set of compensatory mu [...]
+	language = {en},
+	number = {1},
+	urldate = {2014-04-17},
+	journal = {Nature Genetics},
+	author = {Comas, Iñaki and Borrell, Sonia and Roetzer, Andreas and Rose, Graham and Malla, Bijaya and Kato-Maeda, Midori and Galagan, James and Niemann, Stefan and Gagneux, Sebastien},
+	month = jan,
+	year = {2012},
+	pages = {106--110},
+	file = {Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\P55RHQ87\ng.1038.html:text/html}
+}
+
+ at article{de_vos_putative_2013,
+	title = {Putative Compensatory Mutations in the {rpoC} Gene of Rifampin-Resistant Mycobacterium tuberculosis Are Associated with Ongoing Transmission},
+	volume = {57},
+	issn = {0066-4804},
+	url = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3553702/},
+	doi = {10.1128/AAC.01541-12},
+	abstract = {Rifampin resistance in clinical isolates of Mycobacterium tuberculosis arises primarily through the selection of bacterial variants harboring mutations in the 81-bp rifampin resistance-determining region of the {rpoB} gene. While these mutations were shown to infer a fitness cost in the absence of antibiotic pressure, compensatory mutations in {rpoA} and {rpoC} were identified which restore the fitness of rifampin-resistant bacteria carrying mutations in {rpoB.} To investiga [...]
+	number = {2},
+	urldate = {2014-04-17},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {de Vos, M. and Muller, B. and Borrell, S. and Black, P. A. and van Helden, P. D. and Warren, R. M. and Gagneux, S. and Victor, T. C.},
+	month = feb,
+	year = {2013},
+	note = {{PMID:} 23208709
+{PMCID:} {PMC3553702}},
+	pages = {827--832},
+	file = {PubMed Central Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\74JHMEWF\de Vos et al. - 2013 - Putative Compensatory Mutations in the rpoC Gene o.pdf:application/pdf}
+}
+
+ at article{brandis_genetic_2013,
+	title = {Genetic characterization of compensatory evolution in strains carrying {rpoB} {Ser531Leu}, the rifampicin resistance mutation most frequently found in clinical isolates},
+	volume = {68},
+	issn = {0305-7453, 1460-2091},
+	url = {http://jac.oxfordjournals.org/content/68/11/2493},
+	doi = {10.1093/jac/dkt224},
+	abstract = {Objectives The evolution of rifampicin resistance in Mycobacterium tuberculosis is a major threat to effective tuberculosis therapy. Much is known about the initial emergence of rifampicin resistance, but the further evolution of these resistant strains has only lately been subject to investigation. Although resistance can be caused by many different mutations in {rpoB}, among clinical M. tuberculosis isolates the mutation {rpoB} {S531L} is overwhelmingly the most frequently [...]
+Methods We created the {rpoB} {S531L} mutation in Salmonella and then evolved independent lineages with selection for mutants with increased relative fitness. Relative fitness associated with putative compensatory mutations was measured after genetic reconstruction in isogenic strains.
+Results Compensatory mutations were identified in genes coding for different subunits of {RNA} polymerase: {rpoA}, {rpoB} and {rpoC.} Genetic reconstructions demonstrated that each of these secondary mutations reduced the fitness cost of the {rpoB} {S531L} resistance mutation.
+Conclusions The compensatory mutations identified in Salmonella cluster in similar locations to the additional mutations found in M. tuberculosis isolates. These new data strongly support the idea that many of the previously identified {rpoA}, {rpoB} and {rpoC} mutations in rifampicin-resistant M. tuberculosis ({rpoB} {S531L)} are indeed fitness-compensatory mutations.},
+	language = {en},
+	number = {11},
+	urldate = {2014-04-17},
+	journal = {Journal of Antimicrobial Chemotherapy},
+	author = {Brandis, Gerrit and Hughes, Diarmaid},
+	month = nov,
+	year = {2013},
+	note = {{PMID:} 23759506},
+	keywords = {antibiotic resistance, Mycobacterium tuberculosis, {S531L}},
+	pages = {2493--2497},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\B25W89NU\Brandis i Hughes - 2013 - Genetic characterization of compensatory evolution.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\FPZIW8XP\2493.html:text/html}
+}
+
+ at article{brandis_fitness-compensatory_2012,
+	title = {Fitness-compensatory mutations in rifampicin-resistant {RNA} polymerase},
+	volume = {85},
+	copyright = {© 2012 Blackwell Publishing Ltd},
+	issn = {1365-2958},
+	url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2958.2012.08099.x/abstract},
+	doi = {10.1111/j.1365-2958.2012.08099.x},
+	abstract = {Mutations in {rpoB} ({RNA} polymerase β-subunit) can cause high-level resistance to rifampicin, an important first-line drug against tuberculosis. Most rifampicin-resistant ({RifR)} mutants selected in vitro have reduced fitness, and resistant clinical isolates of M. tuberculosis frequently carry multiple mutations in {RNA} polymerase genes. This supports a role for compensatory evolution in global epidemics of drug-resistant tuberculosis but the significance of secondary mu [...]
+	language = {en},
+	number = {1},
+	urldate = {2014-04-17},
+	journal = {Molecular Microbiology},
+	author = {Brandis, Gerrit and Wrande, Marie and Liljas, Lars and Hughes, Diarmaid},
+	month = jul,
+	year = {2012},
+	pages = {142--151},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\EE4B7WJV\Brandis et al. - 2012 - Fitness-compensatory mutations in rifampicin-resis.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\FWWN7BX9\abstract.html:text/html}
+}
+
+ at article{casali_evolution_2014,
+	title = {Evolution and transmission of drug-resistant tuberculosis in a Russian population},
+	volume = {46},
+	copyright = {© 2014 Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.},
+	issn = {1061-4036},
+	url = {http://www.nature.com/ng/journal/v46/n3/full/ng.2878.html},
+	doi = {10.1038/ng.2878},
+	abstract = {The molecular mechanisms determining the transmissibility and prevalence of drug-resistant tuberculosis in a population were investigated through whole-genome sequencing of 1,000 prospectively obtained patient isolates from Russia. Two-thirds belonged to the Beijing lineage, which was dominated by two homogeneous clades. Multidrug-resistant ({MDR)} genotypes were found in 48\% of isolates overall and in 87\% of the major clades. The most common {rpoB} mutation was associated [...]
+	language = {en},
+	number = {3},
+	urldate = {2014-04-17},
+	journal = {Nature Genetics},
+	author = {Casali, Nicola and Nikolayevskyy, Vladyslav and Balabanova, Yanina and Harris, Simon R. and Ignatyeva, Olga and Kontsevaya, Irina and Corander, Jukka and Bryant, Josephine and Parkhill, Julian and Nejentsev, Sergey and Horstmann, Rolf D. and Brown, Timothy and Drobniewski, Francis},
+	month = mar,
+	year = {2014},
+	pages = {279--286},
+	file = {Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\CW3MDW2J\ng.2878.html:text/html}
+}
\ No newline at end of file
diff --git a/other/comp_data/Rifampicin/mtu173.txt b/other/comp_data/Rifampicin/mtu173.txt
new file mode 100644
index 0000000..0d40948
--- /dev/null
+++ b/other/comp_data/Rifampicin/mtu173.txt
@@ -0,0 +1,42 @@
+%mtu173
+>rpoA
+10	S:165	G
+11	E:165	R
+12	D:165	T
+13	V:165	S
+14	L:165	S
+15	T:165	P
+16	D:165	N
+31	G:164	S,A
+>rpoB
+45	P:90	L
+250	E:165	G:3
+430	L:167	P
+435	D:146	Y:2,F:5,V:11,G:3,A
+445	H:157	D:8,Y:2,R
+450	S:97	L:71
+452	L:166	P:2
+487	N:167	S
+491	I:167	L
+672	S:171	Y
+692	A:142	T:30
+731	L:171	P
+835	H:171	R
+1106	I:170	T:2
+>rpoC
+332	G:160	S:7
+431	V:168	M
+433	G:168	S
+483	V:163	A,G:5
+484	W:168	G
+491	I:167	T:2
+507	L:168	V
+519	G:168	V
+527	L:161	V:8
+698	N:168	K
+734	A:167	V:2
+989	V:160	I:9
+1133	H:168	Y
+1152	K:158	Q:11
+1241	R:166	A
+1252	V:159	M:4
diff --git a/other/comp_data/Rifampicin/mtu_broad.txt b/other/comp_data/Rifampicin/mtu_broad.txt
new file mode 100644
index 0000000..c83e572
--- /dev/null
+++ b/other/comp_data/Rifampicin/mtu_broad.txt
@@ -0,0 +1,71 @@
+%mtu_broad
+>rpoB
+45	P:1377	S:7,A:3,L:9,T:2
+92	D:1397	G
+163	N:1397	K
+167	R:1397	C
+168	V:1397	G
+172	Q:1397	R
+219	R:1397	C
+225	R:1397	G
+240	E:1397	G
+270	D:1397	E
+280	P:1397	L
+399	T:1389	I:4,A:5
+401	Q:1397	R
+409	Q:1393	R:5
+428	S:1396	R:2
+429	Q:1396	P,H
+430	L:1386	P:3,R:9
+431	S:1397	G
+432	Q:1380	P:5,E:2,L,K:5,H:5
+434	M:1396	I:2
+435	D:1223	H,N:2,A:2,Y:27,G:3,V:140
+437	N:1396	H,K
+438	N:1397	H
+439	P:1397	S
+441	S:1392	L:4,*:2
+445	H:1240	P:2,Q:2,L:27,Y:53,R:42,D:25,N:7
+448	R:1391	Q:7
+450	S:627	L:743,*:6,W:22
+452	L:1373	V,P:24
+480	I:1397	V
+481	E:1397	A
+482	T:1397	N
+483	P:1397	S
+494	L:1396	P:2
+496	V:1394	G,M:3
+503	F:1395	S:3
+534	V:1396	G,A
+559	A:1395	V:3
+563	E:1389	A:9
+577	P:1397	A
+578	R:1397	H
+584	A:1397	D
+585	T:1397	A
+631	D:1397	G
+655	M:1397	T
+676	T:1397	A
+693	G:1397	D
+700	P:1397	L
+702	T:1397	I
+731	L:1390	P:8
+741	L:1397	F
+761	E:1397	D
+827	R:1395	C:3
+832	K:1397	E
+835	H:1394	R:3,P
+836	G:1397	S
+862	L:1396	R:2
+871	R:1397	H
+874	S:1397	Y
+891	K:1395	E:3
+896	E:1397	K
+920	M:1396	V:2
+936	S:1397	R
+944	K:1397	E
+970	V:1397	A
+971	F:1397	L
+980	Q:1397	R
+1035	I:1397	T
+1095	K:1397	R
diff --git a/other/comp_data/Rifampicin/rels_mtu173.tet b/other/comp_data/Rifampicin/rels_mtu173.tet
new file mode 100644
index 0000000..0b668c6
--- /dev/null
+++ b/other/comp_data/Rifampicin/rels_mtu173.tet
@@ -0,0 +1,40 @@
+>rpoB S 450 L:71
+rpoA S 10 G
+rpoA E 11 R
+rpoA D 12 T
+rpoA V 13 S
+rpoA L 14 S
+rpoA T 15 P
+rpoA D 16 N
+rpoA G 31 S,A
+rpoB P 45 L
+rpoB E 250 G:3
+rpoB A 692 T:30
+rpoB L 731 P
+rpoB H 835 R
+rpoC G 332 S:7
+rpoC V 431 M
+rpoC G 433 S
+rpoC V 483 A,G:5
+rpoC W 484 G
+rpoC I 491 T:2
+rpoC L 507 V
+rpoC G 519 V
+rpoC L 527 V:8
+rpoC N 698 K
+rpoC A 734 V:2
+rpoC V 989 I:9
+rpoC H 1133 Y
+rpoC K 1152 Q:11
+rpoC V 1252 M:4
+>rpoB D 435 Y:2,F:5,V:11,G:3,A
+rpoB N 487 S
+rpoB I 491 L
+rpoB I 1106 T:2
+rpoC R 1241 A
+>rpoB L 452 P:2
+rpoB I 1106 T:2
+rpoC R 1241 A
+>rpoB H 445 D:8,Y:2,R
+rpoB S 672 Y
+>rpoB L 430 P
diff --git a/other/comp_data/Rifampicin/rels_mtu_broad.tet b/other/comp_data/Rifampicin/rels_mtu_broad.tet
new file mode 100644
index 0000000..36bc62e
--- /dev/null
+++ b/other/comp_data/Rifampicin/rels_mtu_broad.tet
@@ -0,0 +1,70 @@
+>rpoB S 450 L:743,*:6,W:22
+rpoB P 45 S:7,A:3,L:9,T:2
+rpoB R 219 C
+rpoB R 225 G
+rpoB D 270 E
+rpoB T 399 I:4,A:5
+rpoB Q 401 R
+rpoB Q 409 R:5
+rpoB I 480 V
+rpoB T 482 N
+rpoB P 483 S
+rpoB V 496 G,M:3
+rpoB F 503 S:3
+rpoB V 534 G,A
+rpoB P 577 A
+rpoB R 578 H
+rpoB A 584 D
+rpoB D 631 G
+rpoB M 655 T
+rpoB G 693 D
+rpoB T 702 I
+rpoB L 731 P:8
+rpoB L 741 F
+rpoB E 761 D
+rpoB R 827 C:3
+rpoB K 832 E
+rpoB H 835 R:3,P
+rpoB G 836 S
+rpoB L 862 R:2
+rpoB S 874 Y
+rpoB K 891 E:3
+rpoB M 920 V:2
+rpoB S 936 R
+rpoB K 944 E
+rpoB V 970 A
+rpoB F 971 L
+rpoB Q 980 R
+rpoB K 1095 R
+>rpoB H 445 P:2,Q:2,L:27,Y:53,R:42,D:25,N:7
+rpoB D 92 G
+rpoB N 163 K
+rpoB V 168 G
+rpoB E 240 G
+rpoB A 559 V:3
+rpoB E 563 A:9
+rpoB T 585 A
+rpoB P 700 L
+rpoB R 871 H
+rpoB E 896 K
+rpoB I 1035 T
+>rpoB D 435 H,N:2,A:2,Y:27,G:3,V:140
+rpoB R 167 C
+rpoB Q 172 R
+rpoB T 676 A
+>rpoB L 452 V,P:24
+rpoB E 481 A
+>rpoB M 434 I:2
+rpoB T 676 A
+>rpoB Q 432 P:5,E:2,L,K:5,H:5
+rpoB L 494 P:2
+>rpoB S 441 L:4,*:2
+rpoB P 280 L
+>rpoB N 438 H
+>rpoB S 428 R:2
+>rpoB N 437 H,K
+>rpoB S 431 G
+>rpoB R 448 Q:7
+>rpoB Q 429 P,H
+>rpoB L 430 P:3,R:9
+>rpoB P 439 S
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new file mode 100644
index 0000000..34557c5
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index 0000000..320d1ac
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new file mode 100644
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+gene & mutation desc.\\ 
+\midrule 
+rpoB & S 450 L\textsubscript{743}W\textsubscript{22}\\ 
+\midrule 
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+rpoB & T 399 I\textsubscript{4}A\textsubscript{5}\\ 
+rpoB & Q 401 R\textsubscript{1}\\ 
+rpoB & Q 409 R\textsubscript{5}\\ 
+rpoB & I 480 V\textsubscript{1}\\ 
+rpoB & T 482 N\textsubscript{1}\\ 
+rpoB & P 483 S\textsubscript{1}\\ 
+rpoB & V 496 G\textsubscript{1}M\textsubscript{3}\\ 
+rpoB & F 503 S\textsubscript{3}\\ 
+rpoB & V 534 G\textsubscript{1}A\textsubscript{1}\\ 
+rpoB & P 577 A\textsubscript{1}\\ 
+rpoB & R 578 H\textsubscript{1}\\ 
+rpoB & A 584 D\textsubscript{1}\\ 
+rpoB & D 631 G\textsubscript{1}\\ 
+rpoB & M 655 T\textsubscript{1}\\ 
+rpoB & G 693 D\textsubscript{1}\\ 
+rpoB & T 702 I\textsubscript{1}\\ 
+rpoB & L 731 P\textsubscript{8}\\ 
+rpoB & L 741 F\textsubscript{1}\\ 
+rpoB & E 761 D\textsubscript{1}\\ 
+rpoB & R 827 C\textsubscript{3}\\ 
+rpoB & K 832 E\textsubscript{1}\\ 
+rpoB & H 835 R\textsubscript{3}P\textsubscript{1}\\ 
+rpoB & G 836 S\textsubscript{1}\\ 
+rpoB & L 862 R\textsubscript{2}\\ 
+rpoB & S 874 Y\textsubscript{1}\\ 
+rpoB & K 891 E\textsubscript{3}\\ 
+rpoB & M 920 V\textsubscript{2}\\ 
+rpoB & S 936 R\textsubscript{1}\\ 
+rpoB & K 944 E\textsubscript{1}\\ 
+rpoB & V 970 A\textsubscript{1}\\ 
+rpoB & F 971 L\textsubscript{1}\\ 
+rpoB & Q 980 R\textsubscript{1}\\ 
+rpoB & K 1095 R\textsubscript{1}\\ 
+\midrule 
+rpoB & H 445 P\textsubscript{2}Q\textsubscript{2}L\textsubscript{27}Y\textsubscript{53}R\textsubscript{42}D\textsubscript{25}N\textsubscript{7}\\ 
+\midrule 
+rpoB & D 92 G\textsubscript{1}\\ 
+rpoB & N 163 K\textsubscript{1}\\ 
+rpoB & V 168 G\textsubscript{1}\\ 
+rpoB & E 240 G\textsubscript{1}\\ 
+rpoB & A 559 V\textsubscript{3}\\ 
+rpoB & E 563 A\textsubscript{9}\\ 
+rpoB & T 585 A\textsubscript{1}\\ 
+rpoB & P 700 L\textsubscript{1}\\ 
+rpoB & R 871 H\textsubscript{1}\\ 
+rpoB & E 896 K\textsubscript{1}\\ 
+rpoB & I 1035 T\textsubscript{1}\\ 
+\midrule 
+rpoB & D 435 H\textsubscript{1}N\textsubscript{2}A\textsubscript{2}Y\textsubscript{27}G\textsubscript{3}V\textsubscript{140}\\ 
+\midrule 
+rpoB & R 167 C\textsubscript{1}\\ 
+rpoB & Q 172 R\textsubscript{1}\\ 
+rpoB & T 676 A\textsubscript{1}\\ 
+\midrule 
+rpoB & L 452 V\textsubscript{1}P\textsubscript{24}\\ 
+\midrule 
+rpoB & E 481 A\textsubscript{1}\\ 
+\midrule 
+rpoB & M 434 I\textsubscript{2}\\ 
+\midrule 
+rpoB & T 676 A\textsubscript{1}\\ 
+\midrule 
+rpoB & Q 432 P\textsubscript{5}E\textsubscript{2}L\textsubscript{1}K\textsubscript{5}H\textsubscript{5}\\ 
+\midrule 
+rpoB & L 494 P\textsubscript{2}\\ 
+\midrule 
+rpoB & S 441 L\textsubscript{4}\\ 
+\midrule 
+rpoB & P 280 L\textsubscript{1}\\ 
+\bottomrule 
+\end{tabular}
+\end{document}
diff --git a/other/comp_data/aln_rpoA.txt b/other/comp_data/aln_rpoA.txt
new file mode 100644
index 0000000..24ac044
--- /dev/null
+++ b/other/comp_data/aln_rpoA.txt
@@ -0,0 +1,23 @@
+Query  14   LTDNRSQFVIEPLEPGFGYTLGNSLRRTLLSSIPGAAVTSIRIDGVLHEFTTVPGVKEDV  73
+            ++   ++  +EPLE GFG+TLGN+LRR LLSS+PG AVT + IDGVLHE++T  GV+ED+
+Sbjct  19   VSSTHAKVTLEPLERGFGHTLGNALRRILLSSMPGCAVTEVEIDGVLHEYSTKEGVQEDI  78
+
+Query  74   TEIILNLKSLVVSSEEDEPVTMYLRKQGPGEVTAGDIVPPAGVTVHNPGMHIATLNDK-G  132
+             EI+LNLK L V  +  + V + L K G G VTA DI     V +  P   I  L D+  
+Sbjct  79   LEILLNLKGLAVRVQGKDEVILTLNKSGIGPVTAADITHDGDVEIVKPQHVICHLTDENA  138
+
+Query  133  KLEVELVVERGRGYVPA---VQNRASGAEIGRIPVDSIYSPVLKVTYKVDATRVEQRTDF  189
+             + + + V+RGRGYVPA   + +      IGR+ VD+ YSPV ++ Y V+A RVEQRTD 
+Sbjct  139  SISMRIKVQRGRGYVPASTRIHSEEDERPIGRLLVDACYSPVERIAYNVEAARVEQRTDL  198
+
+Query  190  DKLILDVETKNSISPRDALASAGKTLVELFGLARELNVEAEGIEIGPSPAEADHIASFAL  249
+            DKL++++ET  +I P +A+  A   L E      +L  +    E+     E D I     
+Sbjct  199  DKLVIEMETNGTIDPEEAIRRAATILAEQLEAFVDLR-DVRQPEVKEEKPEFDPI--LLR  255
+
+Query  250  PIDDLDLTVRSYNCLKREGVHTVGELVARTESDLLDIRNFGQKSIDEVKIKLHQLGLSLK  309
+            P+DDL+LTVRS NCLK E +H +G+LV RTE +LL   N G+KS+ E+K  L   GLSL 
+Sbjct  256  PVDDLELTVRSANCLKAEAIHYIGDLVQRTEVELLKTPNLGKKSLTEIKDVLASRGLSLG  315
+
+Query  310  DSPPSFDPSEVA  321
+                ++ P+ +A
+Sbjct  316  MRLENWPPASIA  327
diff --git a/other/comp_data/aln_rpoB.txt b/other/comp_data/aln_rpoB.txt
new file mode 100644
index 0000000..495d83a
--- /dev/null
+++ b/other/comp_data/aln_rpoB.txt
@@ -0,0 +1,107 @@
+Query  267  ALLDIYRKLRPGEPPTKESAQTLLENLFFKEKRYDLARVGRYKVNKKLGLHVGEPITSST  326
+            AL++IYR +RPGEPPT+E+A++L ENLFF E RYDL+ VGR K N+   L   E   S  
+Sbjct  362  ALVEIYRMMRPGEPPTREAAESLFENLFFSEDRYDLSAVGRMKFNR--SLLRDEIEGSGI  419
+
+Query  327  LTEEDVVATIEYLVRLHEGQTTMTVPGGVEVPVETDDIDHFGNRRLRTVGELIQNQIRVG  386
+            L+++D++  ++ L+ +  G+             E DDIDH GNRR+R+VGE+ +NQ RVG
+Sbjct  420  LSKDDIIDVMKKLIDIRNGKG------------EVDDIDHLGNRRIRSVGEMAENQFRVG  467
+
+Query  387  MSRMERVVRERMTTQDVEAITPQTLINIRPVVAAIKEFFGTSQLSQFMDQNNPLSGLTHK  446
+            + R+ER V+ER++  D++ + PQ +IN +P+ AA+KEFFG+SQLSQFMDQNNPLS +THK
+Sbjct  468  LVRVERAVKERLSLGDLDTLMPQDMINAKPISAAVKEFFGSSQLSQFMDQNNPLSEITHK  527
+
+Query  447  RRLSALGPGGLSRERAGLEVRDVHPSHYGRMCPIETPEGPNIGLIGSLSVYARVNPFGFI  506
+            RR+SALGPGGL+RERAG EVRDVHP+HYGR+CPIETPEGPNIGLI SLSVYA+ N +GF+
+Sbjct  528  RRISALGPGGLTRERAGFEVRDVHPTHYGRVCPIETPEGPNIGLINSLSVYAQTNEYGFL  587
+
+Query  507  ETPYRKVVDGVVSDEIVYLTADEEDRHVVAQANSPIDADGRFVEPRVLVRRKAGEVEYVP  566
+            ETPYR+VVDGVV+DEI YL+A EE  +V+AQANS +D +G FVE  V  R K GE     
+Sbjct  588  ETPYRRVVDGVVTDEIHYLSAIEEGNYVIAQANSNLDDEGHFVEDLVTCRSK-GESSLFS  646
+
+Query  567  SSEVDYMDVSPRQMVSVATAMIPFLEHDDANRALMGANMQRQAVPLVRSEAPLVGTGMEL  626
+              +VDYMDVS +Q+VSV  ++IPFLEHDDANRALMGANMQRQAVP +R++ PLVGTGME 
+Sbjct  647  RDQVDYMDVSTQQVVSVGASLIPFLEHDDANRALMGANMQRQAVPTLRADKPLVGTGMER  706
+
+Query  627  RAAIDAGDVVVAEESGVIEEVSADYITVMHDNGTRR-------TYRMRKFARSNHGTCAN  679
+              A+D+G   VA+  G ++ V A  I +  +             Y + K+ RSN  TC N
+Sbjct  707  AVAVDSGVTAVAKRGGTVQYVDASRIVIKVNEDEMYPGEAGIDIYNLTKYTRSNQNTCIN  766
+
+Query  680  QCPIVDAGDRVEAGQVIADGPCTDDGEMALGKNLLVAIMPWEGHNYEDAIILSNRLVEED  739
+            Q P V  G+ VE G V+ADGP TD GE+ALG+N+ VA MPW G+N+ED+I++S R+V+ED
+Sbjct  767  QMPCVSLGEPVERGDVLADGPSTDLGELALGQNMRVAFMPWNGYNFEDSILVSERVVQED  826
+
+Query  740  VLTSIHIEEHEIDARDTKLGAEEITRDIPNISDEVLADLDERGIVRIGAEVRDGDILVGK  799
+              T+IHI+E    +RDTKLG EEIT DIPN+ +  L+ LDE GIV IGAEV  GDILVGK
+Sbjct  827  RFTTIHIQELACVSRDTKLGPEEITADIPNVGEAALSKLDESGIVYIGAEVTGGDILVGK  886
+
+Query  800  VTPKGETELTPEERLLRAIFGEKAREVRDTSLKVPHGESGKVIGIRVFSRE  850
+            VTPKGET+LTPEE+LLRAIFGEKA +V+D+SL+VP+G SG VI ++VF+R+
+Sbjct  887  VTPKGETQLTPEEKLLRAIFGEKASDVKDSSLRVPNGVSGTVIDVQVFTRD  937
+
+
+Range 2: 1040 to 1339GraphicsNext MatchPrevious MatchFirst Match
+Alignment statistics for match #2
+Score	Expect	Method	Identities	Positives	Gaps
+332 bits(851)	1e-98	Compositional matrix adjust.	172/311(55%)	213/311(68%)	43/311(13%)
+Query  853   DELPAGVNELVRVYVAQKRKISDGDKLAGRHGNKGVIGKILPVEDMPFLADGTPVDIILN  912
+             D+L  GV ++V+VY+A KR+I  GDK+AGRHGNKGVI KI P+EDMP+  +GTPVDI+LN
+Sbjct  1040  DDLAPGVLKIVKVYLAVKRRIQPGDKMAGRHGNKGVISKINPIEDMPYDENGTPVDIVLN  1099
+
+Query  913   THGVPRRMNIGQILETHLGWCAHS--------------------------------GWKV  940
+               GVP RMNIGQILETHLG  A                                    KV
+Sbjct  1100  PLGVPSRMNIGQILETHLGMAAKGIGDKINAMLKQQQEVAKLREFIQRAYDLGADVRQKV  1159
+
+Query  941   DAAKGVPDWAARLPDELLEAQPNAIVSTPVFDGAQEAELQGLLSCTLPNRDGDVLVDADG  1000
+             D +    D   RL + L +  P   ++TPVFDGA+EAE++ LL        GD+     G
+Sbjct  1160  DLSTFSDDEVLRLAENLRKGMP---IATPVFDGAKEAEIKELLKL------GDL--PTSG  1208
+
+Query  1001  KAMLFDGRSGEPFPYPVTVGYMYIMKLHHLVDDKIHARSTGPYSMITQQPLGGKAQFGGQ  1060
+             +  LFDGR+GE F  PVTVGYMY++KL+HLVDDK+HARSTG YS++TQQPLGGKAQFGGQ
+Sbjct  1209  QITLFDGRTGEQFERPVTVGYMYMLKLNHLVDDKMHARSTGSYSLVTQQPLGGKAQFGGQ  1268
+
+Query  1061  RFGEMECWAMQAYGAAYTLQELLTIKSDDTVGRVKVYEAIVKGENIPEPGIPESFKVLLK  1120
+             RFGEME WA++AYGAAYTLQE+LT+KSDD  GR K+Y+ IV G +  EPG+PESF VLLK
+Sbjct  1269  RFGEMEVWALEAYGAAYTLQEMLTVKSDDVNGRTKMYKNIVDGNHQMEPGMPESFNVLLK  1328
+
+Query  1121  ELQSLCLNVEV  1131
+             E++SL +N+E+
+Sbjct  1329  EIRSLGINIEL  1339
+
+
+Range 3: 12 to 224GraphicsNext MatchPrevious MatchFirst Match
+Alignment statistics for match #3
+Score	Expect	Method	Identities	Positives	Gaps
+172 bits(436)	2e-47	Compositional matrix adjust.	92/226(41%)	136/226(60%)	24/226(10%)
+Query  32   RVSFAKLREPLEVPGLLDVQTDSFEWLIGSPRWRESAAERGDVNPVG--GLEEVLYELSP  89
+            R  F K  + L+VP LL +Q DSF+  I             + +P G  GLE     + P
+Sbjct  12   RKDFGKRPQVLDVPYLLSIQLDSFQKFI-------------EQDPEGQYGLEAAFRSVFP  58
+
+Query  90   IEDFSGSMSLSFSDPRFDDVKAPVDECKDKDMTYAAPLFVTAEFI-------NNNTGEIK  142
+            I+ +SG+  L +   R  +    V EC+ + +TY+APL V    +            +IK
+Sbjct  59   IQSYSGNSELQYVSYRLGEPVFDVQECQIRGVTYSAPLRVKLRLVIYEREAPEGTVKDIK  118
+
+Query  143  SQTVFMGDFPMMTEKGTFIINGTERVVVSQLVRSPGVYFDETIDK--STDKTLHSVKVIP  200
+             Q V+MG+ P+MT+ GTF+INGTERV+VSQL RSPGV+FD    K  S+ K L++ ++IP
+Sbjct  119  EQEVYMGEIPLMTDNGTFVINGTERVIVSQLHRSPGVFFDSDKGKTHSSGKVLYNARIIP  178
+
+Query  201  SRGAWLEFDVDKRDTVGVRIDRKRRQPVTVLLKALGWTSEQIVERF  246
+             RG+WL+F+ D +D + VRIDR+R+ P T++L+AL +T+EQI++ F
+Sbjct  179  YRGSWLDFEFDPKDNLFVRIDRRRKLPATIILRALNYTTEQILDLF  224
+
+
+Range 4: 120 to 135GraphicsNext MatchPrevious MatchFirst Match
+Alignment statistics for match #4
+Score	Expect	Method	Identities	Positives	Gaps
+18.1 bits(35)	5.5	Compositional matrix adjust.	8/16(50%)	10/16(62%)	0/16(0%)
+Query  645  EEVSADYITVMHDNGT  660
+            +EV    I +M DNGT
+Sbjct  120  QEVYMGEIPLMTDNGT  135
+
+
+Range 5: 776 to 791GraphicsNext MatchPrevious MatchFirst Match
+Alignment statistics for match #5
+Score	Expect	Method	Identities	Positives	Gaps
+17.7 bits(34)	7.8	Compositional matrix adjust.	8/16(50%)	9/16(56%)	0/16(0%)
+Query  894  PVEDMPFLADGTPVDI  909
+            PVE    LADG   D+
+Sbjct  776  PVERGDVLADGPSTDL  791
diff --git a/other/comp_data/aln_rpoC.txt b/other/comp_data/aln_rpoC.txt
new file mode 100644
index 0000000..ae7730f
--- /dev/null
+++ b/other/comp_data/aln_rpoC.txt
@@ -0,0 +1,127 @@
+Alignment statistics for match #1
+Score	Expect	Method	Identities	Positives	Gaps
+798 bits(2061)	0.0	Compositional matrix adjust.	415/810(51%)	548/810(67%)	48/810(5%)
+Query  232   KQLIVDENLYRELVDRYGEYFTGAMGAESIQKLIENFDIDAEAESLRDVIRNGKGQKKLR  291
+             +Q I+ E  Y + ++ +G+ F   MGAE+IQ L+++ D++ E E+LR+ +     + K +
+Sbjct  156   RQQILTEEQYLDALEEFGDEFDAKMGAEAIQALLKSMDLEQECETLREELNETNSETKRK  215
+
+Query  292   AL-KRLKVVAAFQQSGNSPMGMVLDAVPVIPPELRPMVQLDGGRFATSDLNDLYRRVINR  350
+              L KR+K++ AF QSGN P  M+L  +PV+PP+LRP+V LDGGRFATSDLNDLYRRVINR
+Sbjct  216   KLTKRIKLLEAFVQSGNKPEWMILTVLPVLPPDLRPLVPLDGGRFATSDLNDLYRRVINR  275
+
+Query  351   NNRLKRLIDLGAPEIIVNNEKRMLQESVDALFDNGRRGRPVTGPGNRPLKSLSDLLKGKQ  410
+             NNRLKRL+DL AP+IIV NEKRMLQE+VDAL DNGRRGR +TG   RPLKSL+D++KGKQ
+Sbjct  276   NNRLKRLLDLAAPDIIVRNEKRMLQEAVDALLDNGRRGRAITGSNKRPLKSLADMIKGKQ  335
+
+Query  411   GRFRQNLLGKRVDYSGRSVIVVGPQLKLHQCGLPKLMALELFKPFVMKRLVDLNHAQNIK  470
+             GRFRQNLLGKRVDYSGRSVI VGP L+LHQCGLPK MALELFKPF+  +L     A  IK
+Sbjct  336   GRFRQNLLGKRVDYSGRSVITVGPYLRLHQCGLPKKMALELFKPFIYGKLELRGLATTIK  395
+
+Query  471   SAKRMVERQRPQVWDVLEEVIAEHPVLLNRAPTLHRLGIQAFEPMLVEGKAIQLHPLVCE  530
+             +AK+MVER+   VWD+L+EVI EHPVLLNRAPTLHRLGIQAFEP+L+EGKAIQLHPLVC 
+Sbjct  396   AAKKMVEREEAVVWDILDEVIREHPVLLNRAPTLHRLGIQAFEPVLIEGKAIQLHPLVCA  455
+
+Query  531   AFNADFDGDQMAVHLPLSAEAQAEARILMLSSNNILSPASGRPLAMPRLDMVTGLYYLTT  590
+             A+NADFDGDQMAVH+PL+ EAQ EAR LM+S+NNILSPA+G P+ +P  D+V GLYY+T 
+Sbjct  456   AYNADFDGDQMAVHVPLTLEAQLEARALMMSTNNILSPANGEPIIVPSQDVVLGLYYMTR  515
+
+Query  591   EVPGDTGEYQPASGDHPETGVYSSPAEAIMAADRGVLSVRAKIKVRLTQLRPPVEIEAEL  650
+             +     GE            V + P EA      G+ S+ A++KVR+T+     +   E 
+Sbjct  516   DCVNAKGEGM----------VLTGPKEAERIYRAGLASLHARVKVRITEYEK--DENGEF  563
+
+Query  651   FGHSGWQPGDAWMAETTLGRVMFNELLPLGYPF--VNKQMHKKVQAAIINDLAERYPMIV  708
+               H+        + +TT+GR +   ++P G PF  VN+ + KK  + ++N     Y ++ 
+Sbjct  564   VAHTS-------LKDTTVGRAILWMIVPKGLPFSIVNQALGKKAISKMLNTC---YRILG  613
+
+Query  709   VAQTV---DKLKDAGFYWATRSGVTVSMADVLVPPRKKEILDHYEERADKVEKQFQRGAL  765
+             +  TV   D+    GF +A RSG +V + D+++P +K EI+   E    ++++QFQ G +
+Sbjct  614   LKPTVIFADQTMYTGFAYAARSGASVGIDDMVIPEKKHEIISEAEAEVAEIQEQFQSGLV  673
+
+Query  766   NHDERNEALVEIWKEATDEVGQALREHYPDD---------------NPIITIVDSGATGN  810
+                ER   +++IW  A D V +A+ ++   +               N I  + DSGA G+
+Sbjct  674   TAGERYNKVIDIWAAANDRVSKAMMDNLQTETVINRDGQEEQQVSFNSIYMMADSGARGS  733
+
+Query  811   FTQTRTLAGMKGLVTNPKGEFIPRPVKSSFREGLTVLEYFINTHGARKGLADTALRTADS  870
+               Q R LAGM+GL+  P G  I  P+ ++FREGL VL+YFI+THGARKGLADTAL+TA+S
+Sbjct  734   AAQIRQLAGMRGLMAKPDGSIIETPITANFREGLNVLQYFISTHGARKGLADTALKTANS  793
+
+Query  871   GYLTRRLVDVSQDVIVREHDCQTERGIVVELAERAPDGTLIRDPYIETSAYARTLGTDAV  930
+             GYLTRRLVDV+QD++V E DC T  GI   L     +G  +++P +      R    D +
+Sbjct  794   GYLTRRLVDVAQDLVVTEDDCGTHEGI---LMTPVIEGGDVKEP-LRDRVLGRVTAEDVL  849
+
+Query  931   DEA-GNVIVERGQDLGDPEIDALLAAGITQVKVRSVLTCATSTGVCATCYGRSMATGKLV  989
+                  +++V R   L +   D L A  +  VKVRSV++C T  GVCA CYGR +A G ++
+Sbjct  850   KPGTADILVPRNTLLHEQWCDLLEANSVDAVKVRSVVSCDTDFGVCAHCYGRDLARGHII  909
+
+Query  990   DIGEAVGIVAAQSIGEPGTQLTMRTFHQGG  1019
+             + GEA+G++AAQSIGEPGTQLTMRTFH GG
+Sbjct  910   NKGEAIGVIAAQSIGEPGTQLTMRTFHIGG  939
+
+
+Range 2: 17 to 146GraphicsNext MatchPrevious MatchFirst Match
+Alignment statistics for match #2
+Score	Expect	Method	Identities	Positives	Gaps
+213 bits(542)	9e-60	Compositional matrix adjust.	84/130(65%)	111/130(85%)	0/130(0%)
+Query  7    FDELRIGLATAEDIRQWSYGEVKKPETINYRTLKPEKDGLFCEKIFGPTRDWECYCGKYK  66
+            FD ++I LA+ + IR WS+GEVKKPETINYRT KPE+DGLFC +IFGP +D+EC CGKYK
+Sbjct  17   FDAIKIALASPDMIRSWSFGEVKKPETINYRTFKPERDGLFCARIFGPVKDYECLCGKYK  76
+
+Query  67   RVRFKGIICERCGVEVTRAKVRRERMGHIELAAPVTHIWYFKGVPSRLGYLLDLAPKDLE  126
+            R++ +G+ICE+CGVEVT+ KVRRERMGHIELA+P  HIW+ K +PSR+G LLD+  +D+E
+Sbjct  77   RLKHRGVICEKCGVEVTQTKVRRERMGHIELASPTAHIWFLKSLPSRIGLLLDMPLRDIE  136
+
+Query  127  KIIYFAAYVI  136
+            +++YF +YV+
+Sbjct  137  RVLYFESYVV  146
+
+
+Range 3: 1110 to 1362GraphicsNext MatchPrevious MatchFirst Match
+Alignment statistics for match #3
+Score	Expect	Method	Identities	Positives	Gaps
+203 bits(516)	1e-56	Compositional matrix adjust.	125/267(47%)	171/267(64%)	24/267(8%)
+Query  1005  EPGTQLT-----MRTFHQGGVGEDITGGLPRVQELFEARVPRGKAPIADVTGRVRL---E  1056
+             E G Q++      R   + G  +DITGGLPRV +LFEAR P+  A +A++ G V      
+Sbjct  1110  EDGVQISSGDTLARIPQESGGTKDITGGLPRVADLFEARRPKEPAILAEIAGIVSFGKET  1169
+
+Query  1057  DGERFYKITIVPDDGGEEVVYDKISKRQRLRVFKHEDGSERVLSDGDHVEVGQQLMEGSA  1116
+              G+R  ++ I P DG +    + I K ++L VF           +G+ VE G  + +G  
+Sbjct  1170  KGKR--RLVITPVDGSDPY-EEMIPKWRQLNVF-----------EGERVERGDVISDGPE  1215
+
+Query  1117  DPHEVLRVQGPREVQIHLVREVQEVYRAQGVSIHDKHIEVIVRQMLRRVTIIDSGSTEFL  1176
+              PH++LR++G   V  ++V EVQ+VYR QGV I+DKHIEVIVRQMLR+ TI  +GS++FL
+Sbjct  1216  APHDILRLRGVHAVTRYIVNEVQDVYRLQGVKINDKHIEVIVRQMLRKATIESAGSSDFL  1275
+
+Query  1177  PGSLIDRAEFEAENRRVVAEGGEPAAGRPVLMGITKASLATDSWLSAASFQETTRVLTDA  1236
+              G  ++ +  +  NR + A G   A     L+GITKASLAT+S++SAASFQETTRVLT+A
+Sbjct  1276  EGEQVEYSRVKIANRELEANGKVGATFSRDLLGITKASLATESFISAASFQETTRVLTEA  1335
+
+Query  1237  AI--NCDKLNGLKENVIIGKLIPAGTG  1261
+             A+    D+L GLKENVI+G+LIPAGTG
+Sbjct  1336  AVAGKRDELRGLKENVIVGRLIPAGTG  1362
+
+
+Range 4: 609 to 643GraphicsNext MatchPrevious MatchFirst Match
+Alignment statistics for match #4
+Score	Expect	Method	Identities	Positives	Gaps
+20.8 bits(42)	1.0	Compositional matrix adjust.	12/43(28%)	21/43(48%)	8/43(18%)
+Query  1265  YRNIAVQPTEEARAAAYTIPSYEDQYYSPDFGAATGAAVPLDD  1307
+             YR + ++PT         I + +  Y    + A +GA+V +DD
+Sbjct  609   YRILGLKPT--------VIFADQTMYTGFAYAARSGASVGIDD  643
+
+
+Range 5: 1018 to 1045GraphicsNext MatchPrevious MatchFirst Match
+Alignment statistics for match #5
+Score	Expect	Method	Identities	Positives	Gaps
+18.9 bits(37)	3.2	Compositional matrix adjust.	9/28(32%)	13/28(46%)	0/28(0%)
+Query  569   ASGRPLAMPRLDMVTGLYYLTTEVPGDT  596
+             A+  P  MP +  V+G    T  + G T
+Sbjct  1018  ANWDPHTMPVITEVSGFIRFTDMIDGQT  1045
+
+
+Range 6: 531 to 545GraphicsNext MatchPrevious MatchFirst Match
+Alignment statistics for match #6
+Score	Expect	Method	Identities	Positives	Gaps
+18.5 bits(36)	5.1	Compositional matrix adjust.	6/15(40%)	10/15(66%)	0/15(0%)
+Query  1136  REVQEVYRAQGVSIH  1150
+             +E + +YRA   S+H
+Sbjct  531   KEAERIYRAGLASLH  545
\ No newline at end of file
diff --git a/other/comp_data/comp_data.txt b/other/comp_data/comp_data.txt
new file mode 100644
index 0000000..3fbb020
--- /dev/null
+++ b/other/comp_data/comp_data.txt
@@ -0,0 +1,234 @@
+%comas_whole-genome_2012
+>rpoA	Rv3457c
+181	T	I
+182	R	L
+183	V	A,G
+186	R	C
+187	T	A:3,P
+189	A	E
+
+>rpoC	Rv0668
+432	V	A
+433	G	S
+434	P	R,A
+435	Q	H
+449	L	V
+483	V	G:3,A:3
+484	W	G:2
+485	D	N,H
+491	I	V:2,T
+516	L	P:2
+517	L	V:2
+519	G	D
+521	A	D
+523	Q	E
+525	H	N
+527	L	V
+698	N	S,K,H
+702	E	K
+
+
+%de_vos_putative_2013
+>rpoA	Rv3457c
+57	D	N
+165	S	I
+190	D	G
+319	E	K
+
+>rpoC	Rv0668
+19	D	E
+332	G	R:2
+452	F	C
+483	V	A,G:3
+485	D	Y
+491	I	T:2
+523	G	E
+525	H	Q
+698	N	H,S
+901	L	M
+1040	P	R
+1071	G	S
+1098	V	G
+1125	Q	H:2
+
+%casali_evolution_2014
+>rpoA	Rv3457c
+31	G	A,S
+177	K	M
+181	T	A
+183	V	G
+184	E	D
+187	T	A,P
+190	D	G
+304	L	R
+307	S	L
+
+>rpoB	Rv0667
+42	L	F
+45	P	S
+82	E	G
+399	T	A
+479	P	T
+488	I	V
+491	I	V
+496	V	L,M
+503	F	S
+571	D	A
+723	H	Y
+731	L	P
+761	E	D
+827	R	C
+835	H	P,R
+
+>rpoC	Rv0668
+332	G	C,R,S
+416	N	T,S
+428	S	A
+431	V	M
+433	G	C,S
+434	P	Q,R
+445	K	R
+449	L	V
+452	F	C
+483	V	A,G
+484	W	G
+485	D	N,Y
+491	I	V,T
+516	L	P
+517	V	L
+519	G	D
+521	A	D
+525	H	Q
+527	L	V
+572	R	H
+678	P	R
+698	N	H,K,S
+734	A	V
+747	D	A
+761	Q	R
+770	R	H
+826	N	K
+832	I	V
+838	S	C
+847	L	R
+849	Y	C
+943	D	G
+945	G	V
+1040	P	T,S,R
+1046	I	M
+1252	V	L
+
+%mtu173
+>rpoA
+10	S:165	G
+11	E:165	R
+12	D:165	T
+13	V:165	S
+14	L:165	S
+15	T:165	P
+16	D:165	N
+31	G:164	S,A
+>rpoB
+45	P:90	L
+250	E:165	G:3
+430	L:167	P
+435	D:146	Y:2,F:5,V:11,G:3,A
+445	H:157	D:8,Y:2,R
+450	S:97	L:71
+452	L:166	P:2
+487	N:167	S
+491	I:167	L
+672	S:171	Y
+692	A:142	T:30
+731	L:171	P
+835	H:171	R
+1106	I:170	T:2
+>rpoC
+332	G:160	S:7
+431	V:168	M
+433	G:168	S
+483	V:163	A,G:5
+484	W:168	G
+491	I:167	T:2
+507	L:168	V
+519	G:168	V
+527	L:161	V:8
+698	N:168	K
+734	A:167	V:2
+989	V:160	I:9
+1133	H:168	Y
+1152	K:158	Q:11
+1241	R:166	A
+1252	V:159	M:4
+
+%mtu_broad
+>rpoB
+45	P:1377	S:7,A:3,L:9,T:2
+92	D:1397	G
+163	N:1397	K
+167	R:1397	C
+168	V:1397	G
+172	Q:1397	R
+219	R:1397	C
+225	R:1397	G
+240	E:1397	G
+270	D:1397	E
+280	P:1397	L
+399	T:1389	I:4,A:5
+401	Q:1397	R
+409	Q:1393	R:5
+428	S:1396	R:2
+429	Q:1396	P,H
+430	L:1386	P:3,R:9
+431	S:1397	G
+432	Q:1380	P:5,E:2,L,K:5,H:5
+434	M:1396	I:2
+435	D:1223	H,N:2,A:2,Y:27,G:3,V:140
+437	N:1396	H,K
+438	N:1397	H
+439	P:1397	S
+441	S:1392	L:4,*:2
+445	H:1240	P:2,Q:2,L:27,Y:53,R:42,D:25,N:7
+448	R:1391	Q:7
+450	S:627	L:743,*:6,W:22
+452	L:1373	V,P:24
+480	I:1397	V
+481	E:1397	A
+482	T:1397	N
+483	P:1397	S
+494	L:1396	P:2
+496	V:1394	G,M:3
+503	F:1395	S:3
+534	V:1396	G,A
+559	A:1395	V:3
+563	E:1389	A:9
+577	P:1397	A
+578	R:1397	H
+584	A:1397	D
+585	T:1397	A
+631	D:1397	G
+655	M:1397	T
+676	T:1397	A
+693	G:1397	D
+700	P:1397	L
+702	T:1397	I
+731	L:1390	P:8
+741	L:1397	F
+761	E:1397	D
+827	R:1395	C:3
+832	K:1397	E
+835	H:1394	R:3,P
+836	G:1397	S
+862	L:1396	R:2
+871	R:1397	H
+874	S:1397	Y
+891	K:1395	E:3
+896	E:1397	K
+920	M:1396	V:2
+936	S:1397	R
+944	K:1397	E
+970	V:1397	A
+971	F:1397	L
+980	Q:1397	R
+1035	I:1397	T
+1095	K:1397	R
diff --git a/other/comp_data/comp_data_sal.txt b/other/comp_data/comp_data_sal.txt
new file mode 100644
index 0000000..26b3f72
--- /dev/null
+++ b/other/comp_data/comp_data_sal.txt
@@ -0,0 +1,59 @@
+
+%brandis_fitness-compensatory_2012
+>rpoA	Rv3457c
+182|191	R	C,S
+185|194	Q	P
+
+>rpoB	Rv0667
+435|516	D	G
+479|560	P	L
+483|564	P	S
+484|565	E	A
+556|637	R	C
+593|673	H	Y
+
+>rpoC	Rv0668
+#64	P	L
+847|770	L	P
+1026|1136	G	A
+1030|1140	R	H
+1088|1198	V	E
+
+%brandis_genetic_2013
+>rpoA	Rv3457c
+180|189	A	E
+187|196	T	S
+
+>rpoB	Rv0667
+#339	N	H
+#340	D	Y
+465|546	E	K
+722|809	G	A
+1056|1264	Q	R
+
+>rpoC	Rv0668
+494|419	H	P
+521|446	A	V
+714|622	D	E
+726|634	R	P
+766|674	T	I
+#937	I	T
+#942	S	L
+#943	R	H
+#1075	R	L,C
+1026|1136	G	A
+
+#Rv3457c rpoA 3878507 3877464 -
+GGGGGGCGCCGCCCCCCGAGTACCCCCACCCTCGGGGGCGCCGCCCCCGAGTGCCCCCACAGACGTCATATGGCGGACGTCGAAAGGAAGAAGAAACACC
+MLISQRPTLSEDVLTDNRSQFVIEPLEPGFGYTLGNSLRRTLLSSIPGAAVTSIRIDGVLHEFTTVPGVKEDVTEIILNLKSLVVSSEEDEPVTMYLRKQGPGEVTAGDIVPPAGVTVHNPGMHIATLNDKGKLEVELVVERGRGYVPAVQNRASGAEIGRIPVDSIYSPVLKVTYKVDATRVEQRTDFDKLILDVETKNSISPRDALASAGKTLVELFGLARELNVEAEGIEIGPSPAEADHIASFALPIDDLDLTVRSYNCLKREGVHTVGELVARTESDLLDIRNFGQKSIDEVKIKLHQLGLSLKDSPPSFDPSEVAGYDVATGTWSTEGAYDEQDYAETEQL*
+
+#Rv0667 rpoB 759807 763325 +
+CGCCGGCCGAAACCGACAAAATTATCGCGGCGAACGGGCCCGTGGGCACCGCTCCTCTAAGGGCTCTCGTTGGTCGCATGAAGTGCTGGAAGGATGCATC
+LADSRQSKTAASPSPSRPQSSSNNSVPGAPNRVSFAKLREPLEVPGLLDVQTDSFEWLIGSPRWRESAAERGDVNPVGGLEEVLYELSPIEDFSGSMSLSFSDPRFDDVKAPVDECKDKDMTYAAPLFVTAEFINNNTGEIKSQTVFMGDFPMMTEKGTFIINGTERVVVSQLVRSPGVYFDETIDKSTDKTLHSVKVIPSRGAWLEFDVDKRDTVGVRIDRKRRQPVTVLLKALGWTSEQIVERFGFSEIMRSTLEKDNTVGTDEALLDIYRKLRPGEPPTKESAQTLLENLFFKEKRYDLARVGRYKVNKKLGLHVGEPITSSTLTEEDVVATIEYLVRLHEGQTTMTVPGGVEVPVETDDIDHFGNRRLRTVGELIQNQIRVGMSRMERVVRERMTTQDVEAITPQTLINIRPVVAAIKEFFGTSQLSQFMDQNNPLSGLTHKRRLSALGPGGLSRERAGLEVRDVHPSHYGRMCPIETPEGPNIGLIG [...]
+
+#Rv0668 rpoC 763370 767320 +
+ACCTGGGAATCAATCTGTCCCGCAACGAATCCGCAAGTGTCGAGGATCTTGCGTAAAGCTGTCGCAAAATTACTAAACCCGTTAGGGGAAAGGGAGTTAC
+VLDVNFFDELRIGLATAEDIRQWSYGEVKKPETINYRTLKPEKDGLFCEKIFGPTRDWECYCGKYKRVRFKGIICERCGVEVTRAKVRRERMGHIELAAPVTHIWYFKGVPSRLGYLLDLAPKDLEKIIYFAAYVITSVDEEMRHNELSTLEAEMAVERKAVEDQRDGELEARAQKLEADLAELEAEGAKADARRKVRDGGEREMRQIRDRAQRELDRLEDIWSTFTKLAPKQLIVDENLYRELVDRYGEYFTGAMGAESIQKLIENFDIDAEAESLRDVIRNGKGQKKLRALKRLKVVAAFQQSGNSPMGMVLDAVPVIPPELRPMVQLDGGRFATSDLNDLYRRVINRNNRLKRLIDLGAPEIIVNNEKRMLQESVDALFDNGRRGRPVTGPGNRPLKSLSDLLKGKQGRFRQNLLGKRVDYSGRSVIVVGPQLKLHQCGLPKLMALELFKPFVMKRLVDLNHAQNIKSAKRMVERQRPQVWDVLEEVIA [...]
+
+#salmonella RpoC
+MKDLLKFLKAQTKTEEFDAIKIALASPDMIRSWSFGEVKKPETINYRTFKPERDGLFCARIFGPVKDYECLCGKYKRLKHRGVICEKCGVEVTQTKVRRERMGHIELASPTAHIWFLKSLPSRIGLLLDMPLRDIERVLYFESYVVIEGGMTNLERQQILTEEQYLDALEEFGDEFDAKMGAEAIQALLKSMDLEQECETLREELNETNSETKRKKLTKRIKLLEAFVQSGNKPEWMILTVLPVLPPDLRPLVPLDGGRFATSDLNDLYRRVINRNNRLKRLLDLAAPDIIVRNEKRMLQEAVDALLDNGRRGRAITGSNKRPLKSLADMIKGKQGRFRQNLLGKRVDYSGRSVITVGPYLRLHQCGLPKKMALELFKPFIYGKLELRGLATTIKAAKKMVEREEAVVWDILDEVIREHPVLLNRAPTLHRLGIQAFEPVLIEGKAIQLHPLVCAAYNADFDGDQMAVHVPLTLEAQLEARALMMSTNNILS [...]
diff --git a/other/comp_data/comp_rpoB.pdf b/other/comp_data/comp_rpoB.pdf
new file mode 100644
index 0000000..225cc52
Binary files /dev/null and b/other/comp_data/comp_rpoB.pdf differ
diff --git a/other/comp_data/comp_rpoB.tex b/other/comp_data/comp_rpoB.tex
new file mode 100644
index 0000000..fe7be9f
--- /dev/null
+++ b/other/comp_data/comp_rpoB.tex
@@ -0,0 +1,341 @@
+\documentclass[10pt]{article}
+\usepackage{tikz}
+\usepackage[margin=0.2in, paperwidth=10in, paperheight=5in]{geometry}
+\begin{document}
+\begin{tikzpicture}[x=0.5pt,y=0.5pt]
+\draw [color=black] (10,50) -- (357,50);
+\node [right] at (0,10) {rpoA};
+\draw [color=black] (10,50) -- (10,40);
+\node [right] at (-5,30) {0};
+\draw [color=black] (110,50) -- (110,40);
+\node [right] at (95,30) {100};
+\draw [color=black] (210,50) -- (210,40);
+\node [right] at (195,30) {200};
+\draw [color=black] (310,50) -- (310,40);
+\node [right] at (295,30) {300};
+\draw [color=black] (357,50) -- (357,40);
+\node [right] at (342,30) {347};
+\draw [color=black] (10,300) -- (1182,300);
+\node [right] at (0,260) {rpoB};
+\draw [color=black] (10,300) -- (10,290);
+\node [right] at (-5,280) {0};
+\draw [color=black] (110,300) -- (110,290);
+\node [right] at (95,280) {100};
+\draw [color=black] (210,300) -- (210,290);
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+\draw [color=black] (310,300) -- (310,290);
+\node [right] at (295,280) {300};
+\draw [color=black] (410,300) -- (410,290);
+\node [right] at (395,280) {400};
+\draw [color=black] (510,300) -- (510,290);
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+\draw [color=black] (610,300) -- (610,290);
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+\draw [color=black] (710,300) -- (710,290);
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+\draw [color=black] (810,300) -- (810,290);
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+\draw [color=black] (910,300) -- (910,290);
+\node [right] at (895,280) {900};
+\draw [color=black] (1010,300) -- (1010,290);
+\node [right] at (995,280) {1000};
+\draw [color=black] (1110,300) -- (1110,290);
+\node [right] at (1095,280) {1100};
+\draw [color=black] (1182,300) -- (1182,290);
+\node [right] at (1167,280) {1172};
+\draw [color=black] (10,550) -- (1324,550);
+\node [right] at (0,510) {rpoC};
+\draw [color=black] (10,550) -- (10,540);
+\node [right] at (-5,530) {0};
+\draw [color=black] (110,550) -- (110,540);
+\node [right] at (95,530) {100};
+\draw [color=black] (210,550) -- (210,540);
+\node [right] at (195,530) {200};
+\draw [color=black] (310,550) -- (310,540);
+\node [right] at (295,530) {300};
+\draw [color=black] (410,550) -- (410,540);
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+\draw [color=black] (510,550) -- (510,540);
+\node [right] at (495,530) {500};
+\draw [color=black] (610,550) -- (610,540);
+\node [right] at (595,530) {600};
+\draw [color=black] (710,550) -- (710,540);
+\node [right] at (695,530) {700};
+\draw [color=black] (810,550) -- (810,540);
+\node [right] at (795,530) {800};
+\draw [color=black] (910,550) -- (910,540);
+\node [right] at (895,530) {900};
+\draw [color=black] (1010,550) -- (1010,540);
+\node [right] at (995,530) {1000};
+\draw [color=black] (1110,550) -- (1110,540);
+\node [right] at (1095,530) {1100};
+\draw [color=black] (1210,550) -- (1210,540);
+\node [right] at (1195,530) {1200};
+\draw [color=black] (1310,550) -- (1310,540);
+\draw [color=black] (1324,550) -- (1324,540);
+\node [right] at (1309,530) {1314};
+\draw [color=black] (708,570) -- (708,580);
+\draw [color=black] (836,570) -- (836,580);
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+\draw [color=black] (443,570) -- (443,580);
+\draw [color=black] (441,570) -- (441,580);
+\draw [color=black] (426,570) -- (426,580);
+\draw [color=black] (501,570) -- (501,580);
+\draw [color=black] (848,570) -- (848,580);
+\draw [color=black] (955,570) -- (955,580);
+\draw [color=black] (771,570) -- (771,580);
+\draw [color=black] (842,570) -- (842,580);
+\draw [color=black] (744,570) -- (744,580);
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+\draw [color=black] (438,570) -- (438,580);
+\draw [color=black] (859,570) -- (859,580);
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+\draw [color=black] (535,570) -- (535,580);
+\draw [color=black] (1056,570) -- (1056,580);
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+\draw [color=black] (317,70) -- (317,80);
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+\draw [color=black] (314,70) -- (314,80);
+\draw [color=violet] (572,340) -- (572,350);
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+\draw [color=violet] (837,340) -- (837,350);
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+\draw [color=violet] (884,340) -- (884,350);
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+\draw [color=violet] (980,340) -- (980,350);
+\draw [color=violet] (442,340) -- (442,350);
+\draw [color=violet] (178,340) -- (178,350);
+\draw [color=violet] (280,340) -- (280,350);
+\draw [color=violet] (250,340) -- (250,350);
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@@ -0,0 +1,352 @@
+\documentclass[10pt]{article}
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+\begin{document}
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+\documentclass[10pt]{article}
+\usepackage{tikz}
+\usepackage{booktabs}
+\usepackage[margin=0.2in, paperwidth=8in, paperheight=25in]{geometry}
+\usepackage{fixltx2e}
+\usepackage{xcolor}
+\begin{document}
+\scriptsize
+\begin{tabular}{ c c c c c c c c }
+\toprule 
+ gene & position & ref aa  & comas whole-genome 2012 & de vos putative 2013 & casali evolution 2014 & mtu173 & mtu broad \\ \midrule
+rpoA & 10 & S &  &  &  & \textcolor{black}{G\textsubscript{1}} & \\ 
+rpoA & 11 & E &  &  &  & \textcolor{black}{R\textsubscript{1}} & \\ 
+rpoA & 12 & D &  &  &  & \textcolor{black}{T\textsubscript{1}} & \\ 
+rpoA & 13 & V &  &  &  & \textcolor{black}{S\textsubscript{1}} & \\ 
+rpoA & 14 & L &  &  &  & \textcolor{black}{S\textsubscript{1}} & \\ 
+rpoA & 15 & T &  &  &  & \textcolor{black}{P\textsubscript{1}} & \\ 
+rpoA & 16 & D &  &  &  & \textcolor{black}{N\textsubscript{1}} & \\ 
+rpoA & 31 & G &  &  & \textcolor{black}{A\textsubscript{1}S\textsubscript{1}} & \textcolor{black}{A\textsubscript{1}S\textsubscript{1}} & \\ 
+rpoA & 57 & D &  & \textcolor{black}{N\textsubscript{1}} &  &  & \\ 
+rpoA & 165 & S &  & \textcolor{black}{I\textsubscript{1}} &  &  & \\ 
+rpoA & 177 & K &  &  & \textcolor{black}{M\textsubscript{1}} &  & \\ 
+rpoA & 181 & T & \textcolor{black}{I\textsubscript{1}} &  & \textcolor{black}{A\textsubscript{1}} &  & \\ 
+rpoA & 182 & R & \textcolor{black}{L\textsubscript{1}} &  &  &  & \\ 
+rpoA & 183 & V & \textcolor{black}{A\textsubscript{1}G\textsubscript{1}} &  & \textcolor{black}{G\textsubscript{1}} &  & \\ 
+rpoA & 184 & E &  &  & \textcolor{black}{D\textsubscript{1}} &  & \\ 
+rpoA & 186 & R & \textcolor{black}{C\textsubscript{1}} &  &  &  & \\ 
+rpoA & 187 & T & \textcolor{black}{A\textsubscript{3}P\textsubscript{1}} &  & \textcolor{black}{A\textsubscript{1}P\textsubscript{1}} &  & \\ 
+rpoA & 189 & A & \textcolor{black}{E\textsubscript{1}} &  &  &  & \\ 
+rpoA & 190 & D &  & \textcolor{black}{G\textsubscript{1}} & \textcolor{black}{G\textsubscript{1}} &  & \\ 
+rpoA & 304 & L &  &  & \textcolor{black}{R\textsubscript{1}} &  & \\ 
+rpoA & 307 & S &  &  & \textcolor{black}{L\textsubscript{1}} &  & \\ 
+rpoA & 319 & E &  & \textcolor{black}{K\textsubscript{1}} &  &  & \\ 
+\midrule
+rpoB & 42 & L &  &  & \textcolor{black}{F\textsubscript{1}} &  & \\ 
+rpoB & 45 & P &  &  & \textcolor{black}{S\textsubscript{1}} & \textcolor{black}{L\textsubscript{1}} & \textcolor{black}{A\textsubscript{3}L\textsubscript{9}S\textsubscript{7}T\textsubscript{2}}\\ 
+rpoB & 82 & E &  &  & \textcolor{black}{G\textsubscript{1}} &  & \\ 
+rpoB & 92 & D &  &  &  &  & \textcolor{black}{G\textsubscript{1}}\\ 
+rpoB & 163 & N &  &  &  &  & \textcolor{black}{K\textsubscript{1}}\\ 
+rpoB & 167 & R &  &  &  &  & \textcolor{black}{C\textsubscript{1}}\\ 
+rpoB & 168 & V &  &  &  &  & \textcolor{black}{G\textsubscript{1}}\\ 
+rpoB & 172 & Q &  &  &  &  & \textcolor{black}{R\textsubscript{1}}\\ 
+rpoB & 219 & R &  &  &  &  & \textcolor{black}{C\textsubscript{1}}\\ 
+rpoB & 225 & R &  &  &  &  & \textcolor{black}{G\textsubscript{1}}\\ 
+rpoB & 240 & E &  &  &  &  & \textcolor{black}{G\textsubscript{1}}\\ 
+rpoB & 250 & E &  &  &  & \textcolor{black}{G\textsubscript{3}} & \\ 
+rpoB & 270 & D &  &  &  &  & \textcolor{black}{E\textsubscript{1}}\\ 
+rpoB & 280 & P &  &  &  &  & \textcolor{black}{L\textsubscript{1}}\\ 
+rpoB & 399 & T &  &  & \textcolor{black}{A\textsubscript{1}} &  & \textcolor{black}{A\textsubscript{5}I\textsubscript{4}}\\ 
+rpoB & 401 & Q &  &  &  &  & \textcolor{black}{R\textsubscript{1}}\\ 
+rpoB & 409 & Q &  &  &  &  & \textcolor{black}{R\textsubscript{5}}\\ 
+rpoB & 428 & S &  &  &  &  & \textcolor{red}{R\textsubscript{2}}\\ 
+rpoB & 429 & Q &  &  &  &  & \textcolor{red}{H\textsubscript{1}P\textsubscript{1}}\\ 
+rpoB & 430 & L &  &  &  & \textcolor{red}{P\textsubscript{1}} & \textcolor{red}{P\textsubscript{3}R\textsubscript{9}}\\ 
+rpoB & 431 & S &  &  &  &  & \textcolor{red}{G\textsubscript{1}}\\ 
+rpoB & 432 & Q &  &  &  &  & \textcolor{red}{E\textsubscript{2}H\textsubscript{5}K\textsubscript{5}L\textsubscript{1}P\textsubscript{5}}\\ 
+rpoB & 434 & M &  &  &  &  & \textcolor{red}{I\textsubscript{2}}\\ 
+rpoB & 435 & D &  &  &  & \textcolor{red}{A\textsubscript{1}F\textsubscript{5}G\textsubscript{3}V\textsubscript{11}Y\textsubscript{2}} & \textcolor{red}{A\textsubscript{2}G\textsubscript{3}H\textsubscript{1}N\textsubscript{2}V\textsubscript{140}Y\textsubscript{27}}\\ 
+rpoB & 437 & N &  &  &  &  & \textcolor{red}{H\textsubscript{1}K\textsubscript{1}}\\ 
+rpoB & 438 & N &  &  &  &  & \textcolor{red}{H\textsubscript{1}}\\ 
+rpoB & 439 & P &  &  &  &  & \textcolor{red}{S\textsubscript{1}}\\ 
+rpoB & 441 & S &  &  &  &  & \textcolor{red}{L\textsubscript{4}}\\ 
+rpoB & 445 & H &  &  &  & \textcolor{red}{D\textsubscript{8}R\textsubscript{1}Y\textsubscript{2}} & \textcolor{red}{D\textsubscript{25}L\textsubscript{27}N\textsubscript{7}P\textsubscript{2}Q\textsubscript{2}R\textsubscript{42}Y\textsubscript{53}}\\ 
+rpoB & 448 & R &  &  &  &  & \textcolor{red}{Q\textsubscript{7}}\\ 
+rpoB & 450 & S &  &  &  & \textcolor{red}{L\textsubscript{71}} & \textcolor{red}{L\textsubscript{743}W\textsubscript{22}}\\ 
+rpoB & 452 & L &  &  &  & \textcolor{red}{P\textsubscript{2}} & \textcolor{red}{P\textsubscript{24}V\textsubscript{1}}\\ 
+rpoB & 479 & P &  &  & \textcolor{black}{T\textsubscript{1}} &  & \\ 
+rpoB & 480 & I &  &  &  &  & \textcolor{black}{V\textsubscript{1}}\\ 
+rpoB & 481 & E &  &  &  &  & \textcolor{black}{A\textsubscript{1}}\\ 
+rpoB & 482 & T &  &  &  &  & \textcolor{black}{N\textsubscript{1}}\\ 
+rpoB & 483 & P &  &  &  &  & \textcolor{black}{S\textsubscript{1}}\\ 
+rpoB & 487 & N &  &  &  & \textcolor{black}{S\textsubscript{1}} & \\ 
+rpoB & 488 & I &  &  & \textcolor{black}{V\textsubscript{1}} &  & \\ 
+rpoB & 491 & I &  &  & \textcolor{black}{V\textsubscript{1}} & \textcolor{black}{L\textsubscript{1}} & \\ 
+rpoB & 494 & L &  &  &  &  & \textcolor{black}{P\textsubscript{2}}\\ 
+rpoB & 496 & V &  &  & \textcolor{black}{L\textsubscript{1}M\textsubscript{1}} &  & \textcolor{black}{G\textsubscript{1}M\textsubscript{3}}\\ 
+rpoB & 503 & F &  &  & \textcolor{black}{S\textsubscript{1}} &  & \textcolor{black}{S\textsubscript{3}}\\ 
+rpoB & 534 & V &  &  &  &  & \textcolor{black}{A\textsubscript{1}G\textsubscript{1}}\\ 
+rpoB & 559 & A &  &  &  &  & \textcolor{black}{V\textsubscript{3}}\\ 
+rpoB & 563 & E &  &  &  &  & \textcolor{black}{A\textsubscript{9}}\\ 
+rpoB & 571 & D &  &  & \textcolor{black}{A\textsubscript{1}} &  & \\ 
+rpoB & 577 & P &  &  &  &  & \textcolor{black}{A\textsubscript{1}}\\ 
+rpoB & 578 & R &  &  &  &  & \textcolor{black}{H\textsubscript{1}}\\ 
+rpoB & 584 & A &  &  &  &  & \textcolor{black}{D\textsubscript{1}}\\ 
+rpoB & 585 & T &  &  &  &  & \textcolor{black}{A\textsubscript{1}}\\ 
+rpoB & 631 & D &  &  &  &  & \textcolor{black}{G\textsubscript{1}}\\ 
+rpoB & 655 & M &  &  &  &  & \textcolor{black}{T\textsubscript{1}}\\ 
+rpoB & 672 & S &  &  &  & \textcolor{black}{Y\textsubscript{1}} & \\ 
+rpoB & 676 & T &  &  &  &  & \textcolor{black}{A\textsubscript{1}}\\ 
+rpoB & 692 & A &  &  &  & \textcolor{black}{T\textsubscript{30}} & \\ 
+rpoB & 693 & G &  &  &  &  & \textcolor{black}{D\textsubscript{1}}\\ 
+rpoB & 700 & P &  &  &  &  & \textcolor{black}{L\textsubscript{1}}\\ 
+rpoB & 702 & T &  &  &  &  & \textcolor{black}{I\textsubscript{1}}\\ 
+rpoB & 723 & H &  &  & \textcolor{black}{Y\textsubscript{1}} &  & \\ 
+rpoB & 731 & L &  &  & \textcolor{black}{P\textsubscript{1}} & \textcolor{black}{P\textsubscript{1}} & \textcolor{black}{P\textsubscript{8}}\\ 
+rpoB & 741 & L &  &  &  &  & \textcolor{black}{F\textsubscript{1}}\\ 
+rpoB & 761 & E &  &  & \textcolor{black}{D\textsubscript{1}} &  & \textcolor{black}{D\textsubscript{1}}\\ 
+rpoB & 827 & R &  &  & \textcolor{black}{C\textsubscript{1}} &  & \textcolor{black}{C\textsubscript{3}}\\ 
+rpoB & 832 & K &  &  &  &  & \textcolor{black}{E\textsubscript{1}}\\ 
+rpoB & 835 & H &  &  & \textcolor{black}{P\textsubscript{1}R\textsubscript{1}} & \textcolor{black}{R\textsubscript{1}} & \textcolor{black}{P\textsubscript{1}R\textsubscript{3}}\\ 
+rpoB & 836 & G &  &  &  &  & \textcolor{black}{S\textsubscript{1}}\\ 
+rpoB & 862 & L &  &  &  &  & \textcolor{black}{R\textsubscript{2}}\\ 
+rpoB & 871 & R &  &  &  &  & \textcolor{black}{H\textsubscript{1}}\\ 
+rpoB & 874 & S &  &  &  &  & \textcolor{black}{Y\textsubscript{1}}\\ 
+rpoB & 891 & K &  &  &  &  & \textcolor{black}{E\textsubscript{3}}\\ 
+rpoB & 896 & E &  &  &  &  & \textcolor{black}{K\textsubscript{1}}\\ 
+rpoB & 920 & M &  &  &  &  & \textcolor{black}{V\textsubscript{2}}\\ 
+rpoB & 936 & S &  &  &  &  & \textcolor{black}{R\textsubscript{1}}\\ 
+rpoB & 944 & K &  &  &  &  & \textcolor{black}{E\textsubscript{1}}\\ 
+rpoB & 970 & V &  &  &  &  & \textcolor{black}{A\textsubscript{1}}\\ 
+rpoB & 971 & F &  &  &  &  & \textcolor{black}{L\textsubscript{1}}\\ 
+rpoB & 980 & Q &  &  &  &  & \textcolor{black}{R\textsubscript{1}}\\ 
+rpoB & 1035 & I &  &  &  &  & \textcolor{black}{T\textsubscript{1}}\\ 
+rpoB & 1095 & K &  &  &  &  & \textcolor{black}{R\textsubscript{1}}\\ 
+rpoB & 1106 & I &  &  &  & \textcolor{black}{T\textsubscript{2}} & \\ 
+\midrule
+rpoC & 19 & D &  & \textcolor{black}{E\textsubscript{1}} &  &  & \\ 
+rpoC & 332 & G &  & \textcolor{black}{R\textsubscript{2}} & \textcolor{black}{C\textsubscript{1}R\textsubscript{1}S\textsubscript{1}} & \textcolor{black}{S\textsubscript{7}} & \\ 
+rpoC & 416 & N &  &  & \textcolor{black}{S\textsubscript{1}T\textsubscript{1}} &  & \\ 
+rpoC & 428 & S &  &  & \textcolor{black}{A\textsubscript{1}} &  & \\ 
+rpoC & 431 & V &  &  & \textcolor{black}{M\textsubscript{1}} & \textcolor{black}{M\textsubscript{1}} & \\ 
+rpoC & 432 & V & \textcolor{black}{A\textsubscript{1}} &  &  &  & \\ 
+rpoC & 433 & G & \textcolor{black}{S\textsubscript{1}} &  & \textcolor{black}{C\textsubscript{1}S\textsubscript{1}} & \textcolor{black}{S\textsubscript{1}} & \\ 
+rpoC & 434 & P & \textcolor{black}{A\textsubscript{1}R\textsubscript{1}} &  & \textcolor{black}{Q\textsubscript{1}R\textsubscript{1}} &  & \\ 
+rpoC & 435 & Q & \textcolor{black}{H\textsubscript{1}} &  &  &  & \\ 
+rpoC & 445 & K &  &  & \textcolor{black}{R\textsubscript{1}} &  & \\ 
+rpoC & 449 & L & \textcolor{black}{V\textsubscript{1}} &  & \textcolor{black}{V\textsubscript{1}} &  & \\ 
+rpoC & 452 & F &  & \textcolor{black}{C\textsubscript{1}} & \textcolor{black}{C\textsubscript{1}} &  & \\ 
+rpoC & 483 & V & \textcolor{black}{A\textsubscript{3}G\textsubscript{3}} & \textcolor{black}{A\textsubscript{1}G\textsubscript{3}} & \textcolor{black}{A\textsubscript{1}G\textsubscript{1}} & \textcolor{black}{A\textsubscript{1}G\textsubscript{5}} & \\ 
+rpoC & 484 & W & \textcolor{black}{G\textsubscript{2}} &  & \textcolor{black}{G\textsubscript{1}} & \textcolor{black}{G\textsubscript{1}} & \\ 
+rpoC & 485 & D & \textcolor{black}{H\textsubscript{1}N\textsubscript{1}} & \textcolor{black}{Y\textsubscript{1}} & \textcolor{black}{N\textsubscript{1}Y\textsubscript{1}} &  & \\ 
+rpoC & 491 & I & \textcolor{black}{T\textsubscript{1}V\textsubscript{2}} & \textcolor{black}{T\textsubscript{2}} & \textcolor{black}{T\textsubscript{1}V\textsubscript{1}} & \textcolor{black}{T\textsubscript{2}} & \\ 
+rpoC & 507 & L &  &  &  & \textcolor{black}{V\textsubscript{1}} & \\ 
+rpoC & 516 & L & \textcolor{black}{P\textsubscript{2}} &  & \textcolor{black}{P\textsubscript{1}} &  & \\ 
+rpoC & 517 & L & \textcolor{black}{V\textsubscript{2}} &  &  &  & \\ 
+rpoC & 517 & V &  &  & \textcolor{black}{L\textsubscript{1}} &  & \\ 
+rpoC & 519 & G & \textcolor{black}{D\textsubscript{1}} &  & \textcolor{black}{D\textsubscript{1}} & \textcolor{black}{V\textsubscript{1}} & \\ 
+rpoC & 521 & A & \textcolor{black}{D\textsubscript{1}} &  & \textcolor{black}{D\textsubscript{1}} &  & \\ 
+rpoC & 523 & G &  & \textcolor{black}{E\textsubscript{1}} &  &  & \\ 
+rpoC & 523 & Q & \textcolor{black}{E\textsubscript{1}} &  &  &  & \\ 
+rpoC & 525 & H & \textcolor{black}{N\textsubscript{1}} & \textcolor{black}{Q\textsubscript{1}} & \textcolor{black}{Q\textsubscript{1}} &  & \\ 
+rpoC & 527 & L & \textcolor{black}{V\textsubscript{1}} &  & \textcolor{black}{V\textsubscript{1}} & \textcolor{black}{V\textsubscript{8}} & \\ 
+rpoC & 572 & R &  &  & \textcolor{black}{H\textsubscript{1}} &  & \\ 
+rpoC & 678 & P &  &  & \textcolor{black}{R\textsubscript{1}} &  & \\ 
+rpoC & 698 & N & \textcolor{black}{H\textsubscript{1}K\textsubscript{1}S\textsubscript{1}} & \textcolor{black}{H\textsubscript{1}S\textsubscript{1}} & \textcolor{black}{H\textsubscript{1}K\textsubscript{1}S\textsubscript{1}} & \textcolor{black}{K\textsubscript{1}} & \\ 
+rpoC & 702 & E & \textcolor{black}{K\textsubscript{1}} &  &  &  & \\ 
+rpoC & 734 & A &  &  & \textcolor{black}{V\textsubscript{1}} & \textcolor{black}{V\textsubscript{2}} & \\ 
+rpoC & 747 & D &  &  & \textcolor{black}{A\textsubscript{1}} &  & \\ 
+rpoC & 761 & Q &  &  & \textcolor{black}{R\textsubscript{1}} &  & \\ 
+rpoC & 770 & R &  &  & \textcolor{black}{H\textsubscript{1}} &  & \\ 
+rpoC & 826 & N &  &  & \textcolor{black}{K\textsubscript{1}} &  & \\ 
+rpoC & 832 & I &  &  & \textcolor{black}{V\textsubscript{1}} &  & \\ 
+rpoC & 838 & S &  &  & \textcolor{black}{C\textsubscript{1}} &  & \\ 
+rpoC & 847 & L &  &  & \textcolor{black}{R\textsubscript{1}} &  & \\ 
+rpoC & 849 & Y &  &  & \textcolor{black}{C\textsubscript{1}} &  & \\ 
+rpoC & 901 & L &  & \textcolor{black}{M\textsubscript{1}} &  &  & \\ 
+rpoC & 943 & D &  &  & \textcolor{black}{G\textsubscript{1}} &  & \\ 
+rpoC & 945 & G &  &  & \textcolor{black}{V\textsubscript{1}} &  & \\ 
+rpoC & 989 & V &  &  &  & \textcolor{black}{I\textsubscript{9}} & \\ 
+rpoC & 1040 & P &  & \textcolor{black}{R\textsubscript{1}} & \textcolor{black}{R\textsubscript{1}S\textsubscript{1}T\textsubscript{1}} &  & \\ 
+rpoC & 1046 & I &  &  & \textcolor{black}{M\textsubscript{1}} &  & \\ 
+rpoC & 1071 & G &  & \textcolor{black}{S\textsubscript{1}} &  &  & \\ 
+rpoC & 1098 & V &  & \textcolor{black}{G\textsubscript{1}} &  &  & \\ 
+rpoC & 1125 & Q &  & \textcolor{black}{H\textsubscript{2}} &  &  & \\ 
+rpoC & 1133 & H &  &  &  & \textcolor{black}{Y\textsubscript{1}} & \\ 
+rpoC & 1152 & K &  &  &  & \textcolor{black}{Q\textsubscript{11}} & \\ 
+rpoC & 1241 & R &  &  &  & \textcolor{black}{A\textsubscript{1}} & \\ 
+rpoC & 1252 & V &  &  & \textcolor{black}{L\textsubscript{1}} & \textcolor{black}{M\textsubscript{4}} & \\ 
+\bottomrule
+\end{tabular}
+\end{document}
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+\documentclass[10pt]{article}
+\usepackage{tikz}
+\usepackage{booktabs}
+\usepackage[margin=0.2in, paperwidth=8in, paperheight=25in]{geometry}
+\usepackage{fixltx2e}
+\usepackage{xcolor}
+\begin{document}
+\scriptsize
+\begin{tabular}{ c c c c c c c c }
+\toprule 
+ gene & position & ref aa  & comas whole-genome 2012 & de vos putative 2013 & casali evolution 2014 & mtu173 & mtu broad \\ \midrule
+rpoA & 31 & G &  &  & \textcolor{black}{A\textsubscript{1}S\textsubscript{1}} & \textcolor{black}{A\textsubscript{1}S\textsubscript{1}} & \\ 
+rpoA & 181 & T & \textcolor{black}{I\textsubscript{1}} &  & \textcolor{black}{A\textsubscript{1}} &  & \\ 
+rpoA & 183 & V & \textcolor{black}{A\textsubscript{1}G\textsubscript{1}} &  & \textcolor{black}{G\textsubscript{1}} &  & \\ 
+rpoA & 187 & T & \textcolor{black}{A\textsubscript{3}P\textsubscript{1}} &  & \textcolor{black}{A\textsubscript{1}P\textsubscript{1}} &  & \\ 
+rpoA & 190 & D &  & \textcolor{black}{G\textsubscript{1}} & \textcolor{black}{G\textsubscript{1}} &  & \\ 
+\midrule
+rpoB & 45 & P &  &  & \textcolor{black}{S\textsubscript{1}} & \textcolor{black}{L\textsubscript{1}} & \textcolor{black}{A\textsubscript{3}L\textsubscript{9}S\textsubscript{7}T\textsubscript{2}}\\ 
+rpoB & 399 & T &  &  & \textcolor{black}{A\textsubscript{1}} &  & \textcolor{black}{A\textsubscript{5}I\textsubscript{4}}\\ 
+rpoB & 430 & L &  &  &  & \textcolor{red}{P\textsubscript{1}} & \textcolor{red}{P\textsubscript{3}R\textsubscript{9}}\\ 
+rpoB & 435 & D &  &  &  & \textcolor{red}{A\textsubscript{1}F\textsubscript{5}G\textsubscript{3}V\textsubscript{11}Y\textsubscript{2}} & \textcolor{red}{A\textsubscript{2}G\textsubscript{3}H\textsubscript{1}N\textsubscript{2}V\textsubscript{140}Y\textsubscript{27}}\\ 
+rpoB & 445 & H &  &  &  & \textcolor{red}{D\textsubscript{8}R\textsubscript{1}Y\textsubscript{2}} & \textcolor{red}{D\textsubscript{25}L\textsubscript{27}N\textsubscript{7}P\textsubscript{2}Q\textsubscript{2}R\textsubscript{42}Y\textsubscript{53}}\\ 
+rpoB & 450 & S &  &  &  & \textcolor{red}{L\textsubscript{71}} & \textcolor{red}{L\textsubscript{743}W\textsubscript{22}}\\ 
+rpoB & 452 & L &  &  &  & \textcolor{red}{P\textsubscript{2}} & \textcolor{red}{P\textsubscript{24}V\textsubscript{1}}\\ 
+rpoB & 491 & I &  &  & \textcolor{black}{V\textsubscript{1}} & \textcolor{black}{L\textsubscript{1}} & \\ 
+rpoB & 496 & V &  &  & \textcolor{black}{L\textsubscript{1}M\textsubscript{1}} &  & \textcolor{black}{G\textsubscript{1}M\textsubscript{3}}\\ 
+rpoB & 503 & F &  &  & \textcolor{black}{S\textsubscript{1}} &  & \textcolor{black}{S\textsubscript{3}}\\ 
+rpoB & 731 & L &  &  & \textcolor{black}{P\textsubscript{1}} & \textcolor{black}{P\textsubscript{1}} & \textcolor{black}{P\textsubscript{8}}\\ 
+rpoB & 761 & E &  &  & \textcolor{black}{D\textsubscript{1}} &  & \textcolor{black}{D\textsubscript{1}}\\ 
+rpoB & 827 & R &  &  & \textcolor{black}{C\textsubscript{1}} &  & \textcolor{black}{C\textsubscript{3}}\\ 
+rpoB & 835 & H &  &  & \textcolor{black}{P\textsubscript{1}R\textsubscript{1}} & \textcolor{black}{R\textsubscript{1}} & \textcolor{black}{P\textsubscript{1}R\textsubscript{3}}\\ 
+\midrule
+rpoC & 332 & G &  & \textcolor{black}{R\textsubscript{2}} & \textcolor{black}{C\textsubscript{1}R\textsubscript{1}S\textsubscript{1}} & \textcolor{black}{S\textsubscript{7}} & \\ 
+rpoC & 431 & V &  &  & \textcolor{black}{M\textsubscript{1}} & \textcolor{black}{M\textsubscript{1}} & \\ 
+rpoC & 433 & G & \textcolor{black}{S\textsubscript{1}} &  & \textcolor{black}{C\textsubscript{1}S\textsubscript{1}} & \textcolor{black}{S\textsubscript{1}} & \\ 
+rpoC & 434 & P & \textcolor{black}{A\textsubscript{1}R\textsubscript{1}} &  & \textcolor{black}{Q\textsubscript{1}R\textsubscript{1}} &  & \\ 
+rpoC & 449 & L & \textcolor{black}{V\textsubscript{1}} &  & \textcolor{black}{V\textsubscript{1}} &  & \\ 
+rpoC & 452 & F &  & \textcolor{black}{C\textsubscript{1}} & \textcolor{black}{C\textsubscript{1}} &  & \\ 
+rpoC & 483 & V & \textcolor{black}{A\textsubscript{3}G\textsubscript{3}} & \textcolor{black}{A\textsubscript{1}G\textsubscript{3}} & \textcolor{black}{A\textsubscript{1}G\textsubscript{1}} & \textcolor{black}{A\textsubscript{1}G\textsubscript{5}} & \\ 
+rpoC & 484 & W & \textcolor{black}{G\textsubscript{2}} &  & \textcolor{black}{G\textsubscript{1}} & \textcolor{black}{G\textsubscript{1}} & \\ 
+rpoC & 485 & D & \textcolor{black}{H\textsubscript{1}N\textsubscript{1}} & \textcolor{black}{Y\textsubscript{1}} & \textcolor{black}{N\textsubscript{1}Y\textsubscript{1}} &  & \\ 
+rpoC & 491 & I & \textcolor{black}{T\textsubscript{1}V\textsubscript{2}} & \textcolor{black}{T\textsubscript{2}} & \textcolor{black}{T\textsubscript{1}V\textsubscript{1}} & \textcolor{black}{T\textsubscript{2}} & \\ 
+rpoC & 516 & L & \textcolor{black}{P\textsubscript{2}} &  & \textcolor{black}{P\textsubscript{1}} &  & \\ 
+rpoC & 519 & G & \textcolor{black}{D\textsubscript{1}} &  & \textcolor{black}{D\textsubscript{1}} & \textcolor{black}{V\textsubscript{1}} & \\ 
+rpoC & 521 & A & \textcolor{black}{D\textsubscript{1}} &  & \textcolor{black}{D\textsubscript{1}} &  & \\ 
+rpoC & 525 & H & \textcolor{black}{N\textsubscript{1}} & \textcolor{black}{Q\textsubscript{1}} & \textcolor{black}{Q\textsubscript{1}} &  & \\ 
+rpoC & 527 & L & \textcolor{black}{V\textsubscript{1}} &  & \textcolor{black}{V\textsubscript{1}} & \textcolor{black}{V\textsubscript{8}} & \\ 
+rpoC & 698 & N & \textcolor{black}{H\textsubscript{1}K\textsubscript{1}S\textsubscript{1}} & \textcolor{black}{H\textsubscript{1}S\textsubscript{1}} & \textcolor{black}{H\textsubscript{1}K\textsubscript{1}S\textsubscript{1}} & \textcolor{black}{K\textsubscript{1}} & \\ 
+rpoC & 734 & A &  &  & \textcolor{black}{V\textsubscript{1}} & \textcolor{black}{V\textsubscript{2}} & \\ 
+rpoC & 1040 & P &  & \textcolor{black}{R\textsubscript{1}} & \textcolor{black}{R\textsubscript{1}S\textsubscript{1}T\textsubscript{1}} &  & \\ 
+rpoC & 1252 & V &  &  & \textcolor{black}{L\textsubscript{1}} & \textcolor{black}{M\textsubscript{4}} & \\ 
+\bottomrule
+\end{tabular}
+\end{document}
diff --git a/other/geo_data/mtu/geo-data.txt b/other/geo_data/mtu/geo-data.txt
new file mode 100644
index 0000000..f84ac02
--- /dev/null
+++ b/other/geo_data/mtu/geo-data.txt
@@ -0,0 +1,173 @@
+HaarlemNITR202	India	Asia
+RGTB423	India	Asia
+CASNITR204	India	Asia
+OSDD493	Russia	Asia
+OSDD105	India	Asia
+NA-A0009	India	Asia
+EAI_OSDD271	India	Asia
+NA-A0008	India	Asia
+RGTB327	India	Asia
+CDC1551	USA	North America
+CDC1551A	Clinical
+PanR0305	Panama	Central America
+PanR0316	Panama	Central America
+PanR0301	Panama	Central America
+SUMu001	Unknown
+SUMu011	Unknown
+SUMu010	Unknown
+98-R604_INH-RIF-EM	Unknown
+GM_1503	The Gambia	Africa
+KZN_V2475	South Africa	Africa
+KZN_1435	South Africa	Africa
+KZN_R506	South Africa	Africa
+KZN_605	South Africa	Africa
+KZN_4207_Broad	South Africa	Africa
+KZN_4207	South Africa	Africa
+F11	South Africa	Africa
+HM	Uruguay	South America
+PanR0708	Panama	Central America
+PanR0906	Panama	Central America
+PanR0703	Panama	Central America
+PanR1007	Panama	Central America
+PanR0611	Panama	Central America
+PanR0704	Panama	Central America
+PanR0805	Panama	Central America
+PanR1101	Panama	Central America
+PanR0403	Panama	Central America
+UT205	Colombia	South America
+PanR0313	Panama	Central America
+PanR0610	Panama	Central America
+PanR0903	Panama	Central America
+PanR0404	Panama	Central America
+PanR0409	Panama	Central America
+PanR0503	Panama	Central America
+PanR0402	Panama	Central America
+PanR0203	Panama	Central America
+PanR0602	Panama	Central America
+CTRI-2	Russia	Europe
+PanR0407	Panama	Central America
+PanR0601	Panama	Central America
+PanR0401	Panama	Central America
+PanR0205	Panama	Central America
+PanR0306	Panama	Central America
+PanR0209	Panama	Central America
+PanR0607	Panama	Central America
+PanR0609	Panama	Central America
+PanR0904	Panama	Central America
+PanR0803	Panama	Central America
+PanR0207	Panama	Central America
+PanR0314	Panama	Central America
+PanR0909	Panama	Central America
+PanR0707	Panama	Central America
+PanR0603	Panama	Central America
+PanR0604	Panama	Central America
+PanR0702	Panama	Central America
+PanR0505	Panama	Central America
+PanR0804	Panama	Central America
+PanR0411	Panama	Central America
+PanR0307	Panama	Central America
+PanR0412	Panama	Central America
+PanR0405	Panama	Central America
+PanR0410	Panama	Central America
+PanR0317	Panama	Central America
+PanR0311	Panama	Central America
+PanR1006	Panama	Central America
+PanR1005	Panama	Central America
+PanR0802	Panama	Central America
+PanR0501	Panama	Central America
+INS_SEN	Peru	South America
+INS_XDR	Peru	South America
+INS_MDR	Peru	South America
+MTB-476	Kazakhstan	Asia
+EAI5NITR206	India	Asia
+GuangZ0019	China	Asia
+SUMu006	Unknown
+SUMu004	Unknown
+SUMu005	Unknown
+SUMu007	Unknown
+SUMu003	Unknown
+SUMu008	Unknown
+SUMu002	Unknown
+SUMu009	Unknown
+PanR0208	Panama	Central America
+MTB-489	Kazakhstan	Asia
+PanR0309	Panama	Central America
+PanR0202	Panama	Central America
+BTB05-559	Sweden	Europe
+BTB05-552	Sweden	Europe
+S96-129	Sweden	Europe
+OSDD515	Uganda	Africa
+H37Rv	USA	North America
+SUMu012	Unknown
+H37Ra	USA	North America
+PanR0908	Panama	Central America
+H37RvHA	USA	North America
+H37RvMA	USA	North America
+H37RvAE	USA	North America
+H37RvCO	USA	North America
+H37Rv_Broad	USA	North America
+H37RvLP	USA	North America
+H37RvJO	USA	North America
+H37Ra_WGS	USA	North America
+C	USA	North America
+PanR0315	Panama	Central America
+PanR0907	Panama	Central America
+PanR0206	Panama	Central America
+Haarlem	The Netherlands	Europe
+PanR0902	Panama	Central America
+Erdman	USA	North America
+PanR0801	Panama	Central America
+7199-99	Germany	Europe
+PanR0308	Panama	Central America
+PanR0201	Panama	Central America
+PanR0304	Panama	Central America
+CPHL_A	South Africa	Africa
+K85	The Netherlands	Europe
+T92	Philippines	Asia#USA
+43-16836	Thailand	Asia
+PR05	Malaysia	Asia
+T17	Philippines	Asia
+T46	Philippines	Asia
+EAI5	India	Asia
+EAS054	India	Asia
+OSDD504	India	Asia
+OSDD518	India	Asia
+OSDD071	India	Asia
+UM_1072388579	Malaysia	Asia
+FJ05194	China	Asia
+94_M4241A	China	Asia
+CTRI-4	Russia	Asia
+X132	South Africa	Africa
+R1207	South Africa	Africa
+X28	South Africa	Africa
+X156	South Africa	Africa
+X85	South Africa	Africa
+R1746	South Africa	Africa
+02_1987	South Korea	Asia#USA
+HN878	USA	North America
+210	USA	North America
+BeijingNITR203	China	Asia
+PanR0605	Panama	Central America
+PanR0606	Panama	Central America
+OM-V02_005	Japan	Asia
+XDR1221	China	Asia
+NCGM2209	Japan	Asia
+R1505	South Africa	Africa
+R1441	South Africa	Africa
+R1390	South Africa	Africa
+R1842	South Africa	Africa
+X29	South Africa	Africa
+X122	South Africa	Africa
+X189	South Africa	Africa
+R1909	South Africa	Africa
+W-148	Russia	Asia
+SP21	Russia	Asia
+CCDC5180	China	Asia
+BT2	China	Asia
+CCDC5079	China	Asia
+T85	China	Asia
+HKBS1	China	Asia
+WX1	China	Asia
+WX3	China	Asia
+XDR1219	China	Asia
+BT1	China	Asia
diff --git a/other/geo_data/mtu/geo-tree-t1.dot b/other/geo_data/mtu/geo-tree-t1.dot
new file mode 100644
index 0000000..ab41de0
--- /dev/null
+++ b/other/geo_data/mtu/geo-tree-t1.dot
@@ -0,0 +1,1362 @@
+digraph G {
+
+0 [label=HaarlemNITR202,style=filled,color=black,fillcolor=red];
+
+1 [label=RGTB423,style=filled,color=black,fillcolor=red];
+
+2 [label=CASNITR204,style=filled,color=black,fillcolor=red];
+
+3 [label=OSDD493,style=filled,color=black,fillcolor=red];
+
+4 [label=OSDD105,style=filled,color=black,fillcolor=red];
+
+5 [label=NAA0009,style=filled,color=black,fillcolor=red];
+
+6 [label=EAIOSDD271,style=filled,color=black,fillcolor=red];
+
+7 [label=NAA0008,style=filled,color=black,fillcolor=red];
+
+8 [label=RGTB327,style=filled,color=black,fillcolor=red];
+
+9 [label=CDC1551,style=filled,color=black,fillcolor=yellow];
+
+10 [label=CDC1551A,style=filled,color=black,fillcolor=gray];
+
+11 [label=PanR0305,style=filled,color=black,fillcolor=blue];
+
+12 [label=PanR0316,style=filled,color=black,fillcolor=blue];
+
+13 [label=PanR0301,style=filled,color=black,fillcolor=blue];
+
+14 [label=SUMu001,style=filled,color=black,fillcolor=gray];
+
+15 [label=SUMu011,style=filled,color=black,fillcolor=gray];
+
+16 [label=SUMu010,style=filled,color=black,fillcolor=gray];
+
+17 [label=n98R604INHRIFEM,style=filled,color=black,fillcolor=gray];
+
+18 [label=GM1503,style=filled,color=black,fillcolor=purple];
+
+19 [label=KZNV2475,style=filled,color=black,fillcolor=purple];
+
+20 [label=KZN1435,style=filled,color=black,fillcolor=purple];
+
+21 [label=KZNR506,style=filled,color=black,fillcolor=purple];
+
+22 [label=KZN605,style=filled,color=black,fillcolor=purple];
+
+23 [label=KZN4207Broad,style=filled,color=black,fillcolor=purple];
+
+24 [label=KZN4207,style=filled,color=black,fillcolor=purple];
+
+25 [label=F11,style=filled,color=black,fillcolor=purple];
+
+26 [label=HM,style=filled,color=black,fillcolor=orange];
+
+27 [label=PanR0708,style=filled,color=black,fillcolor=blue];
+
+28 [label=PanR0906,style=filled,color=black,fillcolor=blue];
+
+29 [label=PanR0703,style=filled,color=black,fillcolor=blue];
+
+30 [label=PanR1007,style=filled,color=black,fillcolor=blue];
+
+31 [label=PanR0611,style=filled,color=black,fillcolor=blue];
+
+32 [label=PanR0704,style=filled,color=black,fillcolor=blue];
+
+33 [label=PanR0805,style=filled,color=black,fillcolor=blue];
+
+34 [label=PanR1101,style=filled,color=black,fillcolor=blue];
+
+35 [label=PanR0403,style=filled,color=black,fillcolor=blue];
+
+36 [label=UT205,style=filled,color=black,fillcolor=orange];
+
+37 [label=PanR0313,style=filled,color=black,fillcolor=blue];
+
+38 [label=PanR0610,style=filled,color=black,fillcolor=blue];
+
+39 [label=PanR0903,style=filled,color=black,fillcolor=blue];
+
+40 [label=PanR0404,style=filled,color=black,fillcolor=blue];
+
+41 [label=PanR0409,style=filled,color=black,fillcolor=blue];
+
+42 [label=PanR0503,style=filled,color=black,fillcolor=blue];
+
+43 [label=PanR0402,style=filled,color=black,fillcolor=blue];
+
+44 [label=PanR0203,style=filled,color=black,fillcolor=blue];
+
+45 [label=PanR0602,style=filled,color=black,fillcolor=blue];
+
+46 [label=CTRI2,style=filled,color=black,fillcolor=green];
+
+47 [label=PanR0407,style=filled,color=black,fillcolor=blue];
+
+48 [label=PanR0601,style=filled,color=black,fillcolor=blue];
+
+49 [label=PanR0401,style=filled,color=black,fillcolor=blue];
+
+50 [label=PanR0205,style=filled,color=black,fillcolor=blue];
+
+51 [label=PanR0306,style=filled,color=black,fillcolor=blue];
+
+52 [label=PanR0209,style=filled,color=black,fillcolor=blue];
+
+53 [label=PanR0607,style=filled,color=black,fillcolor=blue];
+
+54 [label=PanR0609,style=filled,color=black,fillcolor=blue];
+
+55 [label=PanR0904,style=filled,color=black,fillcolor=blue];
+
+56 [label=PanR0803,style=filled,color=black,fillcolor=blue];
+
+57 [label=PanR0207,style=filled,color=black,fillcolor=blue];
+
+58 [label=PanR0314,style=filled,color=black,fillcolor=blue];
+
+59 [label=PanR0909,style=filled,color=black,fillcolor=blue];
+
+60 [label=PanR0707,style=filled,color=black,fillcolor=blue];
+
+61 [label=PanR0603,style=filled,color=black,fillcolor=blue];
+
+62 [label=PanR0604,style=filled,color=black,fillcolor=blue];
+
+63 [label=PanR0702,style=filled,color=black,fillcolor=blue];
+
+64 [label=PanR0505,style=filled,color=black,fillcolor=blue];
+
+65 [label=PanR0804,style=filled,color=black,fillcolor=blue];
+
+66 [label=PanR0411,style=filled,color=black,fillcolor=blue];
+
+67 [label=PanR0307,style=filled,color=black,fillcolor=blue];
+
+68 [label=PanR0412,style=filled,color=black,fillcolor=blue];
+
+69 [label=PanR0405,style=filled,color=black,fillcolor=blue];
+
+70 [label=PanR0410,style=filled,color=black,fillcolor=blue];
+
+71 [label=PanR0317,style=filled,color=black,fillcolor=blue];
+
+72 [label=PanR0311,style=filled,color=black,fillcolor=blue];
+
+73 [label=PanR1006,style=filled,color=black,fillcolor=blue];
+
+74 [label=PanR1005,style=filled,color=black,fillcolor=blue];
+
+75 [label=PanR0802,style=filled,color=black,fillcolor=blue];
+
+76 [label=PanR0501,style=filled,color=black,fillcolor=blue];
+
+77 [label=INSSEN,style=filled,color=black,fillcolor=orange];
+
+78 [label=INSXDR,style=filled,color=black,fillcolor=orange];
+
+79 [label=INSMDR,style=filled,color=black,fillcolor=orange];
+
+80 [label=MTB476,style=filled,color=black,fillcolor=red];
+
+81 [label=EAI5NITR206,style=filled,color=black,fillcolor=red];
+
+82 [label=GuangZ0019,style=filled,color=black,fillcolor=red];
+
+83 [label=SUMu006,style=filled,color=black,fillcolor=gray];
+
+84 [label=SUMu004,style=filled,color=black,fillcolor=gray];
+
+85 [label=SUMu005,style=filled,color=black,fillcolor=gray];
+
+86 [label=SUMu007,style=filled,color=black,fillcolor=gray];
+
+87 [label=SUMu003,style=filled,color=black,fillcolor=gray];
+
+88 [label=SUMu008,style=filled,color=black,fillcolor=gray];
+
+89 [label=SUMu002,style=filled,color=black,fillcolor=gray];
+
+90 [label=SUMu009,style=filled,color=black,fillcolor=gray];
+
+91 [label=PanR0208,style=filled,color=black,fillcolor=blue];
+
+92 [label=MTB489,style=filled,color=black,fillcolor=red];
+
+93 [label=PanR0309,style=filled,color=black,fillcolor=blue];
+
+94 [label=PanR0202,style=filled,color=black,fillcolor=blue];
+
+95 [label=BTB05559,style=filled,color=black,fillcolor=green];
+
+96 [label=BTB05552,style=filled,color=black,fillcolor=green];
+
+97 [label=S96129,style=filled,color=black,fillcolor=green];
+
+98 [label=OSDD515,style=filled,color=black,fillcolor=purple];
+
+99 [label=H37Rv,style=filled,color=black,fillcolor=yellow];
+
+100 [label=SUMu012,style=filled,color=black,fillcolor=gray];
+
+101 [label=H37Ra,style=filled,color=black,fillcolor=yellow];
+
+102 [label=PanR0908,style=filled,color=black,fillcolor=blue];
+
+103 [label=H37RvHA,style=filled,color=black,fillcolor=yellow];
+
+104 [label=H37RvMA,style=filled,color=black,fillcolor=yellow];
+
+105 [label=H37RvAE,style=filled,color=black,fillcolor=yellow];
+
+106 [label=H37RvCO,style=filled,color=black,fillcolor=yellow];
+
+107 [label=H37RvBroad,style=filled,color=black,fillcolor=yellow];
+
+108 [label=H37RvLP,style=filled,color=black,fillcolor=yellow];
+
+109 [label=H37RvJO,style=filled,color=black,fillcolor=yellow];
+
+110 [label=H37RaWGS,style=filled,color=black,fillcolor=yellow];
+
+111 [label=C,style=filled,color=black,fillcolor=yellow];
+
+112 [label=PanR0315,style=filled,color=black,fillcolor=blue];
+
+113 [label=PanR0907,style=filled,color=black,fillcolor=blue];
+
+114 [label=PanR0206,style=filled,color=black,fillcolor=blue];
+
+115 [label=Haarlem,style=filled,color=black,fillcolor=green];
+
+116 [label=PanR0902,style=filled,color=black,fillcolor=blue];
+
+117 [label=Erdman,style=filled,color=black,fillcolor=yellow];
+
+118 [label=PanR0801,style=filled,color=black,fillcolor=blue];
+
+119 [label=n719999,style=filled,color=black,fillcolor=green];
+
+120 [label=PanR0308,style=filled,color=black,fillcolor=blue];
+
+121 [label=PanR0201,style=filled,color=black,fillcolor=blue];
+
+122 [label=PanR0304,style=filled,color=black,fillcolor=blue];
+
+123 [label=CPHLA,style=filled,color=black,fillcolor=purple];
+
+124 [label=K85,style=filled,color=black,fillcolor=green];
+
+125 [label=T92,style=filled,color=black,fillcolor=gray];
+
+126 [label=n4316836,style=filled,color=black,fillcolor=red];
+
+127 [label=PR05,style=filled,color=black,fillcolor=red];
+
+128 [label=T17,style=filled,color=black,fillcolor=red];
+
+129 [label=T46,style=filled,color=black,fillcolor=red];
+
+130 [label=EAI5,style=filled,color=black,fillcolor=red];
+
+131 [label=EAS054,style=filled,color=black,fillcolor=red];
+
+132 [label=OSDD504,style=filled,color=black,fillcolor=red];
+
+133 [label=OSDD518,style=filled,color=black,fillcolor=red];
+
+134 [label=OSDD071,style=filled,color=black,fillcolor=red];
+
+135 [label=UM1072388579,style=filled,color=black,fillcolor=red];
+
+136 [label=FJ05194,style=filled,color=black,fillcolor=red];
+
+137 [label=n94M4241A,style=filled,color=black,fillcolor=red];
+
+138 [label=CTRI4,style=filled,color=black,fillcolor=red];
+
+139 [label=X132,style=filled,color=black,fillcolor=purple];
+
+140 [label=R1207,style=filled,color=black,fillcolor=purple];
+
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diff --git a/other/geo_data/mtu/geo-tree-t1.pdf b/other/geo_data/mtu/geo-tree-t1.pdf
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diff --git a/other/geo_data/mtu/geo-tree-t2.dot b/other/geo_data/mtu/geo-tree-t2.dot
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+266->268;
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+201->35;
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+201->202;
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+221->71;
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+190->1;
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+190->2;
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+190->3;
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+190->4;
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+190->5;
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+190->6;
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+190->7;
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+190->9;
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+190->191;
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+190->12;
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+190->192;
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+190->17;
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+190->193;
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+225->79;
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+220->63;
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+
+189->195;
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+289->290;
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+289->152;
+
+224->225;
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+224->80;
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+264->120;
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+264->265;
+
+219->220;
+
+219->72;
+
+235->236;
+
+235->240;
+
+246->247;
+
+246->107;
+
+200->201;
+
+200->205;
+
+284->285;
+
+284->289;
+
+263->264;
+
+263->127;
+
+231->232;
+
+231->235;
+
+245->246;
+
+245->108;
+
+188->189;
+
+188->200;
+
+283->284;
+
+283->153;
+
+260->261;
+
+260->263;
+
+230->231;
+
+230->242;
+
+244->245;
+
+244->252;
+
+187->188;
+
+187->212;
+
+282->283;
+
+282->154;
+
+282->155;
+
+259->260;
+
+259->270;
+
+186->187;
+
+186->214;
+
+281->282;
+
+281->156;
+
+185->186;
+
+185->219;
+
+280->281;
+
+280->157;
+
+184->185;
+
+184->73;
+
+279->280;
+
+279->158;
+
+183->184;
+
+183->224;
+
+278->136;
+
+278->279;
+
+182->183;
+
+182->230;
+
+277->278;
+
+277->159;
+
+181->182;
+
+181->244;
+
+276->277;
+
+276->294;
+
+180->181;
+
+180->259;
+
+275->276;
+
+275->162;
+
+179->180;
+
+179->271;
+
+178->179;
+
+178->273;
+
+177->178;
+
+177->275;
+
+176->177;
+
+176->163;
+
+175->176;
+
+175->295;
+
+174->175;
+
+174->170;
+
+173->174;
+
+173->171;
+
+173->172;
+
+}
+
diff --git a/other/geo_data/mtu/geo-tree-t2.pdf b/other/geo_data/mtu/geo-tree-t2.pdf
new file mode 100644
index 0000000..29aef49
Binary files /dev/null and b/other/geo_data/mtu/geo-tree-t2.pdf differ
diff --git a/other/geo_data/mtu/strains_ordered.txt b/other/geo_data/mtu/strains_ordered.txt
new file mode 100644
index 0000000..f9fc844
--- /dev/null
+++ b/other/geo_data/mtu/strains_ordered.txt
@@ -0,0 +1,461 @@
+M0881
+aureus_IS-K
+aureus_IS-250
+aureus_MSHR1132
+aureus_21252
+aureus_CIG290
+aureus_21202
+aureus_PS187
+M1311
+CA-347
+A9635
+M0877
+aureus_CIG1524
+aureus_21200
+aureus_21194
+S130
+aureus_ST398
+aureus_M140olga
+S1
+S123
+08BA02176
+S100
+aureus_21331
+S94
+aureus_71193
+aureus_DR10
+aureus_C427
+aureus_21342
+aureus_C160
+aureus_552053
+aureus_58-424
+aureus_65-1322
+aureus_C101
+aureus_M1015
+aureus_M809
+aureus_M876
+aureus_M899
+aureus_68-397
+aureus_E1410
+M2
+aureus_WBG10049
+aureus_122051
+aureus_TCH60
+aureus_LCT-SA112
+LCT-SA67
+aureus_21195
+M0408
+aureus_21264
+aureus_CGS00
+aureus_21345
+aureus_Btn1260
+M1034
+aureus_MN8
+aureus_WW270397
+M1256
+aureus_A01793497
+M0946
+aureus_CIG1242
+aureus_CIG1267
+aureus_CIG1214
+aureus_CIGC341D
+aureus_CIG1605
+aureus_CIG1500
+aureus_CIG1233
+aureus_CIG149
+aureus_CIG1176
+M0513
+aureus_EMRSA16
+aureus_MRSA252
+aureus_JKD6159
+aureus_6850
+aureus_21262
+aureus_Tager_104
+aureus_IS-160
+aureus_SA40
+PM1
+aureus_M013
+aureus_SA957
+RF122
+aureus_21235
+aureus_21269
+O11
+O46
+aureus_ED133
+aureus_LGA251
+aureus_D139
+aureus_H19
+aureus_21310
+aureus_IS-105
+MUM270
+M1228
+aureus_HO_5096_0412
+aureus_KPL1845
+aureus_21333
+aureus_11819-97
+aureus_S1800
+aureus_103564
+aureus_21343
+aureus_21266
+KLT6
+aureus_21193
+aureus_21305
+M1216
+KT314250
+aureus_MSSA476
+aureus_CIGC128
+aureus_MW2
+aureus_CIG1835
+aureus_TCH70
+MUM475
+MUF256
+aureus_ATCC_51811
+aureus_USA300_TCH959
+LVP5
+aureus_GR1
+VH221
+PB32
+aureus_21196
+aureus_IS-55
+PPUKM-775-2009
+PPUKM-332-2009
+PPUKM-261-2009
+aureus_IS-157
+aureus_IS-125
+aureus_JKD6008
+aureus_JKD6009
+16K
+aureus_T0131
+ST239
+aureus_ATCC_BAA-39
+aureus_21178
+aureus_IS-189
+aureus_Z172
+aureus_TW20
+Bmb9393
+aureus_MRGR3
+aureus_COL
+aureus_PSP1996
+aureus_DSM_20231
+RN4220
+aureus_VC40
+aureus_NCTC_8325
+aureus_21189
+aureus_IS-88
+aureus_IS-24
+aureus_IS-91
+aureus_IS-111
+aureus_CGS01
+HI111
+aureus_USA300_TCH1516
+aureus_CO-23
+HI049C
+HI049B
+HI010
+HI010B
+aureus_USA300_FPR3757
+A9754
+HI022
+HI049
+HI168
+HI013
+aureus_MRSA131
+aureus_MRSA177
+M0531
+M1
+A5948
+HIF003_B2N-C
+D30
+aureus_21232
+aureus_132
+aureus_Newman
+aureus_21282
+aureus_21283
+aureus_NN50
+aureus_CIGC345D
+aureus_CIG547
+930918-3
+A9765
+M0055
+aureus_CIG1612
+aureus_CIG1770
+aureus_CIG1114
+M0424
+M0340
+M0221
+M0633
+M1064
+aureus_CIG2018
+aureus_21209
+M0312
+M0831
+M1223
+M1462
+M0468
+M1007
+M0396
+aureus_KPL1828
+aureus_CIGC93
+3957
+aureus_CO-08
+LVP2
+aureus_333
+KTY21
+aureus_120
+aureus_3989
+aureus_VH60
+aureus_118
+aureus_21334
+M0239
+aureus_21340
+aureus_TCH130
+aureus_21259
+aureus_CN1
+PPUKM-377-2009
+aureus_CM05
+ST22818412
+ST22815532
+ST22816035
+ST22810388
+ST22810497
+aureus_Mu50-omega
+aureus_Mu50
+aureus_Mu3
+aureus_N315
+M1510
+NN54
+aureus_06BA18369
+aureus_091751
+aureus_MR1
+aureus_ED98
+aureus_CIG1150
+aureus_21272
+aureus_IS-122
+A9299
+aureus_CF-Marseille
+aureus_CIGC340D
+aureus_21201
+aureus_VRS3a
+M0455
+M0494
+SA_ST125_MupR
+aureus_21318
+aureus_21236
+A8117
+A8115
+aureus_IS-M
+aureus_IS-99
+M1036
+aureus_IS-3
+M1291
+aureus_VRS11b
+aureus_VRS11a
+M1078
+M0871
+M0210
+M1083
+M0676
+M1142
+M0404
+M1321
+M0363
+M1092
+M1044
+aureus_VRS2
+M1015
+M0329
+M0237
+M0102
+M1531
+M1563
+M0240
+M0695
+M0536
+M0391
+M0306
+aureus_ECT-R_2
+A9763
+aureus_VRS10
+aureus_VRS9
+aureus_VRS6
+aureus_VRS1
+M0584
+M1255
+aureus_JH1
+aureus_JH9
+aureus_CGS03
+M1286
+M1016
+M0330
+aureus_VRS5
+aureus_VRS7
+M1373
+M0964
+A8819
+M0478
+M0792
+aureus_CIGC348
+M1520
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+M0252
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+M0006
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+M0001
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+M0539
+M1103
+M0294
+M0077
+M0103
+A8796
+M1119
+M0350
+M0334
+M0200
+M0288
+M0326
+M0171
+M0060
+M0375
+M1367
+aureus_21172
+A6224
+A10102
+aureus_CIG1769
+aureus_CIG1750
+M0528
+M0687
+A6300
+04-02981
+M1253
+aureus_CIG1057
+aureus_CIG1165
+M0108
+SA16
+M0279
+M1407
+M1188
+M0035
+A5937
+M0994
+M1275
+H29
+M0029
+aureus_VRS8
+aureus_CIG1096
+aureus_CIG1213
+M0347
+M1224
+M0978
+B147830
+B40950
+B40723
+B53639
+aureus_CBD-635
+M0927
+M1463
+M1556
+M0562
+M0822
+M0944
+M0493
+M0460
+M0999
+M0173
+M0943
+M0374
+M1374
+M0216
+M1578
+M1068
+M0075
+M0780
+aureus_VRS4
+M1215
+M1277
+M1481
+M0467
+M0998
+M1359
+M1062
+M1248
+A9781
+M1167
+M0622
+M0364
+M1229
+M1320
+M0351
+M1450
+M0628
+A9719
+M1451
+M1126
+M0769
+M1405
+M1198
+M1394
+M0673
+M1193
+M1544
+M0580
+M1037
+M0177
+M0367
+M0565
+M0213
+M0154
+M0427
+M0250
+M1322
+M0510
+M1095
+M0212
+M0892
+M0953
+M1257
+M0192
+M0438
+M1093
+M1010
+M0235
+M1533
+M1060
+M0900
+M0273
diff --git a/other/geo_data/mtu/t1.txt b/other/geo_data/mtu/t1.txt
new file mode 100644
index 0000000..77de310
--- /dev/null
+++ b/other/geo_data/mtu/t1.txt
@@ -0,0 +1 @@
+(HaarlemNITR202,(RGTB423,(CASNITR204,((OSDD493,OSDD105),(NA-A0009,(EAI_OSDD271,NA-A0008),(RGTB327,((((CDC1551,CDC1551A),(PanR0305,(PanR0316,PanR0301))),((SUMu001,(SUMu011,SUMu010)),(((98-R604_INH-RIF-EM,GM_1503),((((KZN_V2475,KZN_1435),(KZN_R506,KZN_605)),(KZN_4207_Broad,KZN_4207)),(((F11,HM),((PanR0708,PanR0906),((PanR0703,(PanR1007,PanR0611)),(PanR0704,PanR0805)))),(((PanR1101,PanR0403),UT205),((((PanR0313,PanR0610),((PanR0903,PanR0404),PanR0409)),PanR0503),((PanR0402,PanR0203),((PanR0 [...]
diff --git a/other/geo_data/mtu/t2.txt b/other/geo_data/mtu/t2.txt
new file mode 100644
index 0000000..f9764b1
--- /dev/null
+++ b/other/geo_data/mtu/t2.txt
@@ -0,0 +1,2 @@
+((((((((((((((((((PanR0209:1.00000,PanR0207:1.00000,PanR0607:1.00000,PanR0601:1.00000,PanR0317:1.00000,PanR0909:1.00000,PanR0904:1.00000,PanR0803:1.00000,PanR1006:1.00000,PanR0410:1.00000,(PanR0802:1.00000,PanR1005:1.00000):67.00000,PanR0412:1.00000,PanR0501:1.00000,(PanR0804:1.00000,PanR0411:1.00000):87.00000,PanR0307:1.00000,PanR0405:1.00000,PanR0306:1.00000,PanR0311:1.00000,(PanR0205:1.00000,(PanR0603:1.00000,PanR0505:1.00000,PanR0604:1.00000,PanR0401:1.00000,PanR0707:1.00000,PanR0702 [...]
+#bootstrap consensus tree PhyML
\ No newline at end of file
diff --git a/other/geo_data/sau/sau.txt b/other/geo_data/sau/sau.txt
new file mode 100644
index 0000000..ba19af5
--- /dev/null
+++ b/other/geo_data/sau/sau.txt
@@ -0,0 +1,461 @@
+M0881
+aureus_IS-K
+aureus_IS-250
+aureus_MSHR1132	Australia	Australia
+aureus_21252
+aureus_CIG290
+aureus_21202
+aureus_PS187
+M1311
+CA-347
+A9635
+M0877
+aureus_CIG1524
+aureus_21200
+aureus_21194
+S130
+aureus_ST398
+aureus_M140olga
+S1
+S123
+08BA02176
+S100
+aureus_21331
+S94
+aureus_71193
+aureus_DR10
+aureus_C427
+aureus_21342
+aureus_C160
+aureus_552053
+aureus_58-424
+aureus_65-1322
+aureus_C101
+aureus_M1015
+aureus_M809
+aureus_M876
+aureus_M899
+aureus_68-397
+aureus_E1410
+M2
+aureus_WBG10049
+aureus_122051
+aureus_TCH60
+aureus_LCT-SA112
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diff --git a/other/geo_data/spn/spn.txt b/other/geo_data/spn/spn.txt
new file mode 100644
index 0000000..e69de29
diff --git a/other/inputmtu/cluster_gene_ref_ids.txt b/other/inputmtu/cluster_gene_ref_ids.txt
new file mode 100644
index 0000000..5892f02
--- /dev/null
+++ b/other/inputmtu/cluster_gene_ref_ids.txt
@@ -0,0 +1,4016 @@
+cluster_id	gene_name	H37Rv	H37Ra
+1818	dnaA	Rv0001	MRA_0001
+3541	dnaN	Rv0002	MRA_0002
+2001	recF	Rv0003	MRA_0003
+903	x	Rv0004	MRA_0004
+1084	gyrB	Rv0005	MRA_0005
+2279	gyrA	Rv0006	MRA_0006
+674	x	Rv0007	MRA_0007
+2956	x	Rv0008c	MRA_0008
+4123	ppiA	Rv0009	MRA_0009
+980	x	Rv0010c	MRA_0010
+2433	x	Rv0011c	MRA_0013
+2624	x	Rv0012	MRA_0014
+2080	trpG	Rv0013	MRA_0015
+3026	pknB	Rv0014c	MRA_0016
+847	pknA	Rv0015c	MRA_0017
+1152	pbpA	Rv0016c	MRA_0018
+1766	rodA	Rv0017c	MRA_0019
+3575	ppp	Rv0018c	MRA_0020
+5807	x	Rv0019c	MRA_0021
+655	TB39.8	Rv0020c	MRA_0022
+796	x	Rv0021c	MRA_0023
+5789	whiB5	Rv0022c	MRA_0025
+2652	x	Rv0023	MRA_0026
+6387	x	Rv0024	MRA_0027
+4525	x	Rv0025	MRA_0028
+781	x	Rv0026	MRA_0029
+6127	x	Rv0027	MRA_0030
+1463	x	Rv0028	MRA_0031
+3194	x	Rv0029	MRA_0032
+3222	x	Rv0030	MRA_0033
+5971	x	Rv0031	MRA_0034
+217	bioF2	Rv0032	MRA_0035
+5151	acpA	Rv0033	MRA_0036
+1694	x	Rv0034	MRA_0037
+307	fadD34	Rv0035	MRA_0038
+2895	x	Rv0036c	MRA_0039
+396	x	Rv0037c	MRA_0040
+4010	x	Rv0038	MRA_0041
+2911	x	Rv0039c	MRA_0042
+2325	mtc28	Rv0040c	MRA_0043
+1159	leuS	Rv0041	MRA_0044
+2177	x	Rv0042c	MRA_0045
+457	x	Rv0043c	MRA_0046
+488	x	Rv0044c	MRA_0047
+2104	x	Rv0045c	MRA_0048
+1689	ino1	Rv0046c	MRA_0049
+2259	x	Rv0047c	MRA_0050
+4509	x	Rv0048c	MRA_0051
+6581	x	Rv0049	MRA_0052
+323	ponA1	Rv0050	MRA_0053
+3703	x	Rv0051	MRA_0054
+1784	x	Rv0052	MRA_0055
+972	rpsF	Rv0053	MRA_0056
+5981	ssb	Rv0054	MRA_0057
+6030	rpsR	Rv0055	MRA_0058
+562	rplI	Rv0056	MRA_0059
+4856	x	Rv0057	MRA_0059A
+47	dnaB	Rv0058	MRA_0060
+3904	x	Rv0059	MRA_0061
+842	x	Rv0060	MRA_0062
+7312	x	Rv0061	MRA_0063
+1096	celA1	Rv0062	MRA_0064
+32	mitR	Rv0063	MRA_0065
+2185	x	Rv0064	MRA_0066
+1888	x	Rv0065	MRA_0067
+2546	icd2	Rv0066c	MRA_0068
+724	x	Rv0067c	MRA_0069
+4310	x	Rv0068	MRA_0070
+1085	sdaA	Rv0069c	MRA_0071
+3379	glyA	Rv0070c	MRA_0072
+2479	x	Rv0071	MRA_0073
+6029	x	Rv0072	MRA_0074
+3040	glnQ1	Rv0073	MRA_0075
+1336	x	Rv0074	MRA_0076
+3190	x	Rv0075	MRA_0077
+2607	x	Rv0076c	MRA_0078
+3564	x	Rv0077c	MRA_0079
+3850	x	Rv0078	MRA_0080
+646	x	Rv0078A	MRA_0081
+6006	x	Rv0079	MRA_0083
+649	x	Rv0080	MRA_0084
+4726	x	Rv0081	MRA_0085
+3981	x	Rv0082	MRA_0086
+3129	x	Rv0083	MRA_0087
+5919	hycD	Rv0084	MRA_0088
+4212	hycP	Rv0085	MRA_0089
+4914	hycQ	Rv0086	MRA_0090
+1499	hycE	Rv0087	MRA_0091
+4066	x	Rv0088	MRA_0092
+1006	x	Rv0089	MRA_0093
+1271	x	Rv0090	MRA_0094
+5714	mtn	Rv0091	MRA_0095
+204	ctpA	Rv0092	MRA_0096
+5121	x	Rv0093c	MRA_0097
+2216	x	Rv0095c	MRA_0099
+1206	PPE1	Rv0096	MRA_0100
+954	x	Rv0097	MRA_0101
+5829	x	Rv0098	MRA_0102
+4730	fadD10	Rv0099	MRA_0103
+4664	x	Rv0100	MRA_0104
+389	nrp	Rv0101	MRA_0106
+2051	x	Rv0102	MRA_0107
+1910	ctpB	Rv0103c	MRA_0108
+4789	x	Rv0104	MRA_0109
+379	rpmB	Rv0105c	MRA_0110
+5828	x	Rv0106	MRA_0111
+1169	ctpI	Rv0107c	MRA_0112
+2917	x	Rv0108c	MRA_0114
+771	PE_PGRS1	Rv0109	MRA_0115
+3091	x	Rv0110	MRA_0116
+1098	x	Rv0111	MRA_0117
+623	gca	Rv0112	MRA_0118
+5612	gmhA	Rv0113	MRA_0119
+2360	gmhB	Rv0114	MRA_0120
+1482	hddA	Rv0115	MRA_0121
+3647	x	Rv0116c	MRA_0123
+5111	oxyS	Rv0117	MRA_0124
+2033	oxcA	Rv0118c	MRA_0125
+1587	fadD7	Rv0119	MRA_0126
+3568	fusA2	Rv0120c	MRA_0127
+1208	x	Rv0121c	MRA_0128
+226	x	Rv0122	MRA_0129
+2846	x	Rv0123	MRA_0130
+1518	PE_PGRS2	Rv0124	MRA_0131
+5982	pepA	Rv0125	MRA_0132
+64	treS	Rv0126	MRA_0133
+2921	pep2	Rv0127	MRA_0134
+3814	x	Rv0128	MRA_0135
+5727	fbpC	Rv0129c	MRA_0136
+7433	x	Rv0130	MRA_0137
+5818	fadE1	Rv0131c	MRA_0138
+3561	fgd2	Rv0132c	MRA_0139
+1745	x	Rv0133	MRA_0140
+4200	ephF	Rv0134	MRA_0141
+3528	x	Rv0135c	MRA_0142
+1871	cyp138	Rv0136	MRA_0143
+1506	msrA	Rv0137c	MRA_0144
+1643	x	Rv0138	MRA_0145
+148	x	Rv0139	MRA_0146
+5005	x	Rv0140	MRA_0147
+3237	x	Rv0141c	MRA_0148
+5979	x	Rv0142	MRA_0149
+3295	x	Rv0143c	MRA_0150
+3322	x	Rv0144	MRA_0151
+2274	x	Rv0145	MRA_0152
+983	x	Rv0146	MRA_0153
+1407	x	Rv0147	MRA_0154
+4450	x	Rv0148	MRA_0155
+4339	x	Rv0149	MRA_0156
+2262	x	Rv0150c	MRA_0157
+3731	PE1	Rv0151c	MRA_0158
+3622	PE2	Rv0152c	MRA_0159
+5236	ptbB	Rv0153c	MRA_0161
+1680	fadE2	Rv0154c	MRA_0162
+3267	pntAa	Rv0155	MRA_0163
+5744	pntAb	Rv0156	MRA_0164
+6509	pntB	Rv0157	MRA_0165
+2396	x	Rv0158	MRA_0166
+1692	PE3	Rv0159c	MRA_0167
+770	PE4	Rv0160c	MRA_0168
+6	x	Rv0161	MRA_0169
+1072	adhE1	Rv0162c	MRA_0170
+2630	x	Rv0163	MRA_0171
+428	TB18.5	Rv0164	MRA_0172
+1045	x	Rv0165c	MRA_0173
+895	fadD5	Rv0166	MRA_0174
+3457	yrbE1A	Rv0167	MRA_0175
+1757	yrbE1B	Rv0168	MRA_0176
+3038	mce1A	Rv0169	MRA_0177
+2638	mce1B	Rv0170	MRA_0178
+1300	mce1C	Rv0171	MRA_0179
+2770	mce1D	Rv0172	MRA_0180
+2774	lprK	Rv0173	MRA_0181
+647	mce1F	Rv0174	MRA_0182
+359	x	Rv0175	MRA_0183
+3211	x	Rv0176	MRA_0184
+4643	x	Rv0177	MRA_0185
+4106	x	Rv0178	MRA_0186
+1462	lprO	Rv0179c	MRA_0187
+5413	x	Rv0180c	MRA_0188
+2116	x	Rv0181c	MRA_0189
+4116	sigG	Rv0182c	MRA_0190
+1143	x	Rv0183	MRA_0191
+3316	x	Rv0184	MRA_0192
+3273	x	Rv0185	MRA_0193
+3360	bglS	Rv0186	MRA_0194
+1835	x	Rv0187	MRA_0195
+5102	x	Rv0188	MRA_0196
+1201	ilvD	Rv0189c	MRA_0197
+1939	x	Rv0190	MRA_0198
+3385	x	Rv0191	MRA_0199
+1685	x	Rv0192	MRA_0200
+3148	x	Rv0192A	x
+609	x	Rv0193c	MRA_0201
+1319	x	Rv0194	MRA_0202
+1721	x	Rv0195	MRA_0203
+274	x	Rv0196	MRA_0204
+117	x	Rv0197	MRA_0205
+984	x	Rv0198c	MRA_0206
+1472	x	Rv0199	MRA_0207
+2320	x	Rv0200	MRA_0208
+1258	x	Rv0201c	MRA_0209
+2288	mmpL11	Rv0202c	MRA_0210
+128	x	Rv0203	MRA_0211
+2799	x	Rv0204c	MRA_0212
+113	x	Rv0205	MRA_0213
+1934	mmpL3	Rv0206c	MRA_0214
+3756	x	Rv0207c	MRA_0215
+1137	trmB	Rv0208c	MRA_0216
+5712	x	Rv0209	MRA_0217
+3292	x	Rv0210	MRA_0218
+4855	pckA	Rv0211	MRA_0219
+1713	nadR	Rv0212c	MRA_0220
+3262	x	Rv0213c	MRA_0221
+337	fadD4	Rv0214	MRA_0222
+1705	fadE3	Rv0215c	MRA_0223
+3023	x	Rv0216	MRA_0224
+2531	lipW	Rv0217c	MRA_0225
+716	x	Rv0218	MRA_0226
+5017	x	Rv0219	MRA_0227
+3258	lipC	Rv0220	MRA_0228
+115	x	Rv0221	MRA_0229
+5951	echA1	Rv0222	MRA_0230
+1731	x	Rv0223c	MRA_0231
+3534	x	Rv0224c	MRA_0232
+6311	x	Rv0225	MRA_0233
+2821	x	Rv0226c	MRA_0234
+528	x	Rv0227c	MRA_0235
+797	x	Rv0228	MRA_0236
+348	x	Rv0229c	MRA_0237
+1639	php	Rv0230c	MRA_0238
+71	fadE4	Rv0231	MRA_0239
+1697	x	Rv0232	MRA_0240
+2411	nrdB	Rv0233	MRA_0241
+3939	gabD1	Rv0234c	MRA_0242
+3074	x	Rv0235c	MRA_0243
+110	x	Rv0236A	MRA_0245
+2637	x	Rv0236c	MRA_0244
+1676	lpqI	Rv0237	MRA_0246
+5385	x	Rv0238	MRA_0247
+6593	x	Rv0239	MRA_0248
+2535	x	Rv0240	MRA_0249
+730	x	Rv0241c	MRA_0250
+4564	fabG	Rv0242c	MRA_0251
+3799	fadA2	Rv0243	MRA_0252
+2226	fadE5	Rv0244c	MRA_0253
+3014	x	Rv0245	MRA_0254
+2782	x	Rv0246	MRA_0255
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+2814	sdhA	Rv0248c	MRA_0257
+4649	x	Rv0249c	MRA_0258
+2541	x	Rv0250c	MRA_0259
+2075	hsp	Rv0251c	MRA_0260
+2347	nirB	Rv0252	MRA_0261
+1192	nirD	Rv0253	MRA_0262
+5810	cobU	Rv0254c	MRA_0263
+2282	cobQ1	Rv0255c	MRA_0264
+121	PPE2	Rv0256c	MRA_0265
+4689	x	Rv0257	MRA_0265A
+4878	x	Rv0258c	MRA_0266
+4588	x	Rv0259c	MRA_0267
+1065	x	Rv0260c	MRA_0268
+4573	narK3	Rv0261c	MRA_0269
+4150	aac	Rv0262c	MRA_0270
+676	x	Rv0263c	MRA_0271
+2060	x	Rv0264c	MRA_0272
+6008	x	Rv0265c	MRA_0273
+3132	oplA	Rv0266c	MRA_0274
+3497	narU	Rv0267	MRA_0275
+2664	x	Rv0268c	MRA_0276
+1367	x	Rv0269c	MRA_0277
+1496	fadD2	Rv0270	MRA_0278
+2905	fadE6	Rv0271c	MRA_0279
+2807	x	Rv0272c	MRA_0280
+624	x	Rv0273c	MRA_0281
+834	x	Rv0274	MRA_0282
+4325	x	Rv0275c	MRA_0283
+5875	x	Rv0276	MRA_0284
+2555	x	Rv0277c	MRA_0285
+203	PE_PGRS3	Rv0278c	MRA_0287
+381	PE_PGRS4	Rv0279c	MRA_0288
+429	PPE3	Rv0280	MRA_0289
+1174	x	Rv0281	MRA_0290
+946	x	Rv0282	MRA_0291
+1642	x	Rv0283	MRA_0292
+3395	x	Rv0284	MRA_0293
+1589	PE5	Rv0285	MRA_0294
+1455	PPE4	Rv0286	MRA_0295
+5495	esxG	Rv0287	MRA_0296
+1041	esxH	Rv0288	MRA_0297
+6899	x	Rv0289	MRA_0298
+2718	x	Rv0290	MRA_0299
+2994	mycP3	Rv0291	MRA_0300
+2293	x	Rv0292	MRA_0301
+4658	x	Rv0293c	MRA_0302
+4348	tam	Rv0294	MRA_0303
+586	x	Rv0295c	MRA_0304
+510	x	Rv0296c	MRA_0305
+749	PE_PGRS5	Rv0297	MRA_0306
+4950	x	Rv0298	MRA_0307
+6408	x	Rv0299	MRA_0308
+7025	x	Rv0300	MRA_0309
+809	x	Rv0301	MRA_0310
+857	x	Rv0302	MRA_0311
+1786	x	Rv0303	MRA_0312
+891	PPE6	Rv0304c	MRA_0313
+6163	PPE6	Rv0305c	MRA_0314
+2629	bluB	Rv0306	MRA_0315
+406	x	Rv0307c	MRA_0316
+146	x	Rv0308	MRA_0317
+5729	x	Rv0309	MRA_0318
+1561	baiE	Rv0310c	MRA_0319
+4194	x	Rv0311	MRA_0320
+2487	x	Rv0312	MRA_0321
+3577	x	Rv0313	MRA_0322
+3900	x	Rv0314c	MRA_0323
+1216	x	Rv0315	MRA_0324
+2668	x	Rv0316	MRA_0325
+3386	glpQ2	Rv0317c	MRA_0326
+3513	x	Rv0318c	MRA_0327
+2326	pcp	Rv0319	MRA_0328
+1171	x	Rv0320	MRA_0329
+1364	dcd	Rv0321	MRA_0330
+3339	udgA	Rv0322	MRA_0331
+1344	x	Rv0323c	MRA_0332
+5903	x	Rv0324	MRA_0333
+3788	x	Rv0325	MRA_0334
+1693	x	Rv0326	MRA_0335
+2349	cyp135A1	Rv0327c	MRA_0336
+3177	x	Rv0328	MRA_0337
+5625	x	Rv0329c	MRA_0338
+4299	x	Rv0330c	MRA_0339
+3518	x	Rv0331	MRA_0340
+5342	x	Rv0332	MRA_0341
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+5324	rmlA	Rv0334	MRA_0343
+587	PE6	Rv0335c	MRA_0344
+287	x	Rv0336	MRA_0522
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+2834	x	Rv0338c	MRA_0347
+1408	x	Rv0339c	MRA_0348
+42	x	Rv0340	MRA_0349
+2340	iniB	Rv0341	MRA_0350
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+1756	iniC	Rv0343	MRA_0352
+758	lpqJ	Rv0344c	MRA_0353
+5246	x	Rv0345	MRA_0354
+120	ansP2	Rv0346c	MRA_0355
+782	x	Rv0347	MRA_0356
+4174	x	Rv0348	MRA_0357
+6661	x	Rv0349	MRA_0358
+135	dnaK	Rv0350	MRA_0359
+1884	grpE	Rv0351	MRA_0360
+1019	dnaJ1	Rv0352	MRA_0361
+4778	hspR	Rv0353	MRA_0362
+6097	PPE7	Rv0354c	x
+175	PPE8	Rv0355c	MRA_0364
+2125	x	Rv0356c	MRA_0365
+6978	purA	Rv0357c	MRA_0366
+5145	x	Rv0358	MRA_0367
+109	x	Rv0359	MRA_0368
+4338	x	Rv0360c	MRA_0369
+6249	x	Rv0361	MRA_0370
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+2576	fba	Rv0363c	MRA_0372
+1521	dedA	Rv0364	MRA_0373
+187	x	Rv0365c	MRA_0374
+2530	x	Rv0366c	MRA_0375
+6916	x	Rv0367c	x
+333	x	Rv0368c	MRA_0377
+2598	x	Rv0369c	MRA_0378
+2809	x	Rv0370c	MRA_0379
+4583	x	Rv0371c	MRA_0380
+4167	x	Rv0372c	MRA_0381
+752	x	Rv0373c	MRA_0382
+7276	x	Rv0374c	MRA_0383
+1213	x	Rv0375c	MRA_0384
+1626	x	Rv0376c	MRA_0385
+2416	x	Rv0377	MRA_0386
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+2663	x	Rv0380c	MRA_0388
+759	x	Rv0381c	MRA_0389
+6110	pyrE	Rv0382c	MRA_0390
+567	x	Rv0383c	MRA_0391
+5520	clpB	Rv0384c	MRA_0392
+1447	x	Rv0385	MRA_0393
+1649	x	Rv0386	MRA_0394
+2648	PPE9	Rv0387c	MRA_0395
+1789	purT	Rv0389	MRA_0396
+3265	x	Rv0390	MRA_0397
+3758	metZ	Rv0391	MRA_0398
+602	ndhA	Rv0392c	MRA_0399
+1249	x	Rv0393	MRA_0400
+4589	x	Rv0394c	MRA_0401
+2298	x	Rv0395	MRA_0401A
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+5894	x	Rv0398c	MRA_0404
+3961	lpqK	Rv0399c	MRA_0405
+2425	fadE7	Rv0400c	MRA_0406
+1005	x	Rv0401	MRA_0407
+6299	mmpL1	Rv0402c	MRA_0408
+3816	mmpS1	Rv0403c	MRA_0409
+1638	fadD30	Rv0404	MRA_0410
+2133	pks6	Rv0405	MRA_0411
+1013	x	Rv0406c	MRA_0412
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+2042	pknG	Rv0410c	MRA_0416
+584	glnH	Rv0411c	MRA_0417
+4469	x	Rv0412c	MRA_0418
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+1476	thiE	Rv0414c	MRA_0420
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+1817	thiS	Rv0416	MRA_0422
+2658	thiG	Rv0417	MRA_0423
+3092	lpqL	Rv0418	MRA_0424
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+2918	x	Rv0420c	MRA_0426
+3743	x	Rv0421c	MRA_0427
+5525	thiD	Rv0422c	MRA_0428
+3589	thiC	Rv0423c	MRA_0429
+220	x	Rv0424c	MRA_0429A
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+2197	x	Rv0428c	MRA_0433
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+4964	x	Rv0433	MRA_0438
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+2533	x	Rv0441c	MRA_0446
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+1432	x	Rv0443	MRA_0448
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+1490	x	Rv0463	MRA_0469
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+41	x	Rv0466	MRA_0472
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+6875	pqqE	Rv0693	MRA_0701
+1970	lldD1	Rv0694	MRA_0702
+4312	x	Rv0695	MRA_0703
+3389	x	Rv0696	MRA_0704
+3876	x	Rv0697	MRA_0705
+2220	x	Rv0698	MRA_0706
+4925	x	Rv0699	MRA_0707
+6684	rpsJ	Rv0700	MRA_0708
+111	rplC	Rv0701	MRA_0709
+3718	rplD	Rv0702	MRA_0710
+6612	rplW	Rv0703	MRA_0711
+5540	rplB	Rv0704	MRA_0712
+1109	rpsS	Rv0705	MRA_0713
+5141	rplV	Rv0706	MRA_0714
+6247	rpsC	Rv0707	MRA_0715
+4475	rplP	Rv0708	MRA_0716
+3158	rpmC	Rv0709	MRA_0717
+4011	rpsQ	Rv0710	MRA_0718
+3438	atsA	Rv0711	MRA_0719
+3701	x	Rv0712	MRA_0720
+1978	x	Rv0713	MRA_0721
+3886	rplN	Rv0714	MRA_0722
+5309	rplX	Rv0715	MRA_0723
+4119	rplE	Rv0716	MRA_0724
+5856	rpsN	Rv0717	MRA_0725
+700	rpsH	Rv0718	MRA_0726
+2113	rplF	Rv0719	MRA_0727
+3447	rplR	Rv0720	MRA_0728
+3404	rpsE	Rv0721	MRA_0729
+6162	rpmD	Rv0722	MRA_0730
+1066	rplO	Rv0723	MRA_0731
+200	sppA	Rv0724	MRA_0732
+3691	x	Rv0725c	MRA_0733
+2373	x	Rv0726c	MRA_0734
+3206	fucA	Rv0727c	MRA_0735
+3612	serA2	Rv0728c	MRA_0736
+3409	xylB	Rv0729	MRA_0737
+4267	x	Rv0730	MRA_0738
+1187	x	Rv0731c	MRA_0739
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+5574	adk	Rv0733	MRA_0741
+4492	mapA	Rv0734	MRA_0742
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+2352	x	Rv0736	MRA_0744
+375	x	Rv0737	MRA_0746
+3106	x	Rv0738	MRA_0747
+3867	x	Rv0739	MRA_0748
+864	x	Rv0741	MRA_0750
+1780	PE_PGRS8	Rv0742	MRA_0751
+6695	x	Rv0743c	MRA_0752
+4196	x	Rv0744c	MRA_0753
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+2549	PE_PGRS9	Rv0746	MRA_0754
+126	PE_PGRS10	Rv0747	MRA_0755
+2713	x	Rv0748	MRA_0756
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+2300	mmsB	Rv0751c	MRA_0760
+5885	fadE9	Rv0752c	MRA_0761
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+1606	PE_PGRS11	Rv0754	MRA_0763
+3218	x	Rv0755A	MRA_0765
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+3750	x	Rv0756c	MRA_0766
+2150	phoP	Rv0757	MRA_0767
+2789	phoR	Rv0758	MRA_0768
+1814	x	Rv0759c	MRA_0769
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+28	adhB	Rv0761c	MRA_0771
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+7265	x	Rv0765c	MRA_0774
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+5273	x	Rv0767c	MRA_0776
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+3637	x	Rv0769	MRA_0778
+4854	x	Rv0770	MRA_0779
+1241	x	Rv0771	MRA_0780
+1184	purD	Rv0772	MRA_0781
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+4811	x	Rv0774c	MRA_0783
+1778	x	Rv0775	MRA_0784
+1798	x	Rv0776c	MRA_0785
+2810	purB	Rv0777	MRA_0786
+3874	cyp126	Rv0778	MRA_0787
+3240	x	Rv0779c	MRA_0788
+5430	hemH	Rv0780	MRA_0789
+5911	ptrBa	Rv0781	MRA_0790
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+3611	emrB	Rv0783c	MRA_0792
+815	x	Rv0784	MRA_0793
+2273	x	Rv0785	MRA_0794
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+4064	x	Rv0787	MRA_0796
+4717	purS	Rv0787A	MRA_0797
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+3478	x	Rv0789c	MRA_0799
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+5310	x	Rv0799c	MRA_0809
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+2618	x	Rv0804	MRA_0814
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+4814	x	Rv0807	MRA_0817
+1026	purF	Rv0808	MRA_0818
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+5048	x	Rv0810c	MRA_0820
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+4840	x	Rv0813c	MRA_0823
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+3204	x	Rv0825c	MRA_0835
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+1036	x	Rv0843	MRA_0851
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+37	x	Rv0845	MRA_0853
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+3167	x	Rv0849	MRA_0857
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+3569	x	Rv0854	MRA_0862
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+5451	x	Rv1119c	MRA_1128A
+543	x	Rv1120c	MRA_1129
+2399	zwf1	Rv1121	MRA_1130
+445	gnd2	Rv1122	MRA_1131
+2671	bpoB	Rv1123c	MRA_1132
+5004	ephC	Rv1124	MRA_1133
+2355	x	Rv1125	MRA_1134
+1822	x	Rv1126c	MRA_1135
+2491	ppdK	Rv1127c	MRA_1136
+1734	x	Rv1128c	MRA_1137
+1902	x	Rv1129c	MRA_1138
+3028	x	Rv1130	MRA_1139
+456	gltA1	Rv1131	MRA_1140
+301	x	Rv1132	MRA_1141
+917	metE	Rv1133c	MRA_1142
+3702	x	Rv1134	MRA_1143
+338	x	Rv1135A	MRA_1145
+4444	PPE16	Rv1135c	MRA_1144
+2822	x	Rv1136	MRA_1146
+6432	x	Rv1137c	x
+5787	x	Rv1138c	MRA_1148
+2304	x	Rv1139c	MRA_1149
+4191	x	Rv1140	MRA_1150
+2903	echA11	Rv1141c	MRA_1151
+4585	echA10	Rv1142c	MRA_1152
+5604	mcr	Rv1143	MRA_1153
+7258	x	Rv1144	MRA_1154
+1868	mmpL13a	Rv1145	MRA_1155
+544	mmpL13b	Rv1146	MRA_1156
+2705	x	Rv1147	MRA_1157
+1687	x	Rv1148c	MRA_1158
+3428	x	Rv1151c	MRA_1161
+1914	x	Rv1152	MRA_1162
+478	omt	Rv1153c	MRA_1163
+1397	x	Rv1154c	MRA_1164
+2560	x	Rv1155	MRA_1165
+6317	x	Rv1156	MRA_1166
+4738	x	Rv1157c	MRA_1167
+3302	x	Rv1158c	MRA_1168
+1539	pimE	Rv1159	MRA_1169
+3699	phhB	Rv1159A	MRA_1170
+2456	mutT2	Rv1160	MRA_1171
+1519	narG	Rv1161	MRA_1172
+654	narH	Rv1162	MRA_1173
+1911	narJ	Rv1163	MRA_1174
+3713	narI	Rv1164	MRA_1175
+2492	typA	Rv1165	MRA_1176
+2703	lpqW	Rv1166	MRA_1177
+6053	x	Rv1167c	MRA_1178
+5204	PPE17	Rv1168c	MRA_1179
+1996	PE11	Rv1169c	MRA_1180
+2009	mshB	Rv1170	MRA_1181
+3587	x	Rv1171	MRA_1182
+2102	PE12	Rv1172c	MRA_1183
+2564	fbiC	Rv1173	MRA_1184
+6244	TB8.4	Rv1174c	MRA_1185
+446	fadH	Rv1175c	MRA_1186
+5585	x	Rv1176c	MRA_1187
+4870	fdxC	Rv1177	MRA_1188
+3097	x	Rv1178	MRA_1189
+1595	x	Rv1179c	MRA_1190
+6057	pks3	Rv1180	x
+191	pks4	Rv1181	MRA_1191
+2573	papA3	Rv1182	MRA_1192
+1509	mmpL10	Rv1183	MRA_1193
+51	x	Rv1184c	MRA_1194
+3745	fadD21	Rv1185c	MRA_1195
+1663	x	Rv1186c	MRA_1196
+713	rocA	Rv1187	MRA_1197
+6285	x	Rv1188	MRA_1198
+1195	sigI	Rv1189	MRA_1199
+2208	x	Rv1190	MRA_1200
+5129	x	Rv1191	MRA_1201
+1969	x	Rv1192	MRA_1202
+1901	fadD36	Rv1193	MRA_1203
+4020	x	Rv1194c	MRA_1204
+637	PE13	Rv1195	MRA_1205
+215	esxP	Rv1197	MRA_1046
+373	x	Rv1200	MRA_1209
+1289	x	Rv1201c	MRA_1210
+4218	dapE	Rv1202	MRA_1211
+213	x	Rv1203c	MRA_1212
+2432	x	Rv1204c	MRA_1213
+6719	x	Rv1205	MRA_1214
+5503	fadD6	Rv1206	MRA_1215
+2650	folP2	Rv1207	MRA_1216
+6696	x	Rv1208	MRA_1217
+3305	x	Rv1209	MRA_1218
+2086	tagA	Rv1210	MRA_1219
+2726	x	Rv1211	MRA_1220
+4406	glgA	Rv1212c	MRA_1221
+1401	glgC	Rv1213	MRA_1222
+1824	PE14	Rv1214c	MRA_1223
+558	x	Rv1215c	MRA_1224
+1207	x	Rv1216c	MRA_1225
+468	x	Rv1217c	MRA_1226
+325	x	Rv1218c	MRA_1227
+3574	x	Rv1219c	MRA_1228
+5531	x	Rv1220c	MRA_1229
+1359	sigE	Rv1221	MRA_1230
+356	x	Rv1222	MRA_1231
+645	htrA	Rv1223	MRA_1232
+1882	tatB	Rv1224	MRA_1233
+4239	x	Rv1225c	MRA_1234
+889	x	Rv1226c	MRA_1235
+4057	x	Rv1227c	MRA_1236
+7196	lpqX	Rv1228	MRA_1237
+5442	mrp	Rv1229c	MRA_1238
+426	x	Rv1230c	MRA_1239
+1529	x	Rv1231c	MRA_1240
+2526	x	Rv1232c	MRA_1241
+5537	x	Rv1233c	MRA_1242
+3533	x	Rv1234	MRA_1243
+1614	lpqY	Rv1235	MRA_1244
+5523	sugA	Rv1236	MRA_1245
+2266	sugB	Rv1237	MRA_1246
+5976	sugC	Rv1238	MRA_1247
+1375	corA	Rv1239c	MRA_1248
+3765	mdh	Rv1240	MRA_1249
+5107	x	Rv1241	MRA_1250
+1912	x	Rv1242	MRA_1251
+1698	PE_PGRS23	Rv1243c	MRA_1252
+1368	lpqZ	Rv1244	MRA_1253
+5653	x	Rv1245c	MRA_1254
+1765	x	Rv1246c	MRA_1255
+7219	x	Rv1247c	MRA_1255A
+326	kgd	Rv1248c	MRA_1256
+1269	x	Rv1249c	MRA_1257
+3245	x	Rv1250	MRA_1258
+2585	x	Rv1251c	MRA_1259
+1944	lprE	Rv1252c	MRA_1260
+14	deaD	Rv1253	MRA_1261
+4238	x	Rv1254	MRA_1262
+3089	x	Rv1255c	MRA_1263
+2833	cyp130	Rv1256c	MRA_1264
+1652	x	Rv1257c	MRA_1265
+5812	tap	Rv1258c	MRA_1266
+1716	x	Rv1259	MRA_1267
+4466	x	Rv1260	MRA_1268
+4131	x	Rv1261c	MRA_1269
+912	x	Rv1262c	MRA_1270
+3506	amiB2	Rv1263	MRA_1271
+4603	x	Rv1264	MRA_1272
+322	x	Rv1265	MRA_1273
+734	pknH	Rv1266c	MRA_1274
+4176	embR	Rv1267c	MRA_1275
+4760	x	Rv1268c	MRA_1276
+2106	x	Rv1269c	MRA_1277
+1703	lprA	Rv1270c	MRA_1278
+6062	x	Rv1271c	MRA_1279
+3325	x	Rv1272c	MRA_1280
+4718	x	Rv1273c	MRA_1281
+4040	lprB	Rv1274	MRA_1282
+4376	lprC	Rv1275	MRA_1283
+6502	x	Rv1276c	MRA_1284
+5274	x	Rv1277	MRA_1285
+1579	x	Rv1278	MRA_1286
+212	x	Rv1279	MRA_1287
+4333	oppA	Rv1280c	MRA_1288
+5258	oppD	Rv1281c	MRA_1289
+4000	oppC	Rv1282c	MRA_1290
+1308	oppB	Rv1283c	MRA_1291
+5852	x	Rv1284	MRA_1292
+2091	cysD	Rv1285	MRA_1293
+1907	cysN	Rv1286	MRA_1294
+5644	x	Rv1287	MRA_1295
+735	x	Rv1288	MRA_1296
+6592	x	Rv1289	MRA_1297
+4893	x	Rv1290A	MRA_1298A
+4112	x	Rv1290c	MRA_1298
+2669	x	Rv1291c	MRA_1299
+229	argS	Rv1292	MRA_1300
+2283	lysA	Rv1293	MRA_1301
+4139	thrA	Rv1294	MRA_1302
+3800	thrC	Rv1295	MRA_1303
+2336	thrB	Rv1296	MRA_1304
+596	rho	Rv1297	MRA_1305
+6361	rpmE	Rv1298	MRA_1306
+6482	prfA	Rv1299	MRA_1307
+2327	hemK	Rv1300	MRA_1308
+1797	x	Rv1301	MRA_1309
+1843	rfe	Rv1302	MRA_1310
+2985	x	Rv1303	MRA_1311
+2295	atpB	Rv1304	MRA_1312
+2716	atpE	Rv1305	MRA_1313
+1541	atpF	Rv1306	MRA_1314
+5728	atpH	Rv1307	MRA_1315
+3572	atpA	Rv1308	MRA_1316
+5287	atpG	Rv1309	MRA_1317
+2130	atpD	Rv1310	MRA_1318
+5294	atpC	Rv1311	MRA_1319
+4180	x	Rv1312	MRA_1320
+548	x	Rv1313c	MRA_3838
+270	x	Rv1314c	MRA_1322
+3500	murA	Rv1315	MRA_1323
+4156	ogt	Rv1316c	MRA_1324
+1297	alkA	Rv1317c	MRA_1325
+833	x	Rv1318c	MRA_1326
+4009	x	Rv1319c	MRA_1327
+1181	x	Rv1320c	MRA_1328
+985	x	Rv1321	MRA_1329
+6222	x	Rv1322	MRA_1329A
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+4052	fadA4	Rv1323	MRA_1331
+4548	x	Rv1324	MRA_1332
+2792	PE_PGRS24	Rv1325c	MRA_1333
+3827	glgB	Rv1326c	MRA_1334
+4911	glgE	Rv1327c	MRA_1335
+1454	glgP	Rv1328	MRA_1336
+251	dinG	Rv1329c	MRA_1337
+4672	x	Rv1330c	MRA_1338
+5774	clpS	Rv1331	MRA_1339
+2655	x	Rv1332	MRA_1340
+4966	x	Rv1333	MRA_1341
+5515	x	Rv1334	MRA_1342
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+2977	cysM	Rv1336	MRA_1344
+6303	x	Rv1337	MRA_1345
+6013	murI	Rv1338	MRA_1346
+3795	x	Rv1339	MRA_1347
+3885	rph	Rv1340	MRA_1348
+221	x	Rv1341	MRA_1349
+6930	x	Rv1342c	MRA_1350
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+827	acp-2	Rv1344	MRA_1352
+2826	fadD33	Rv1345	MRA_1353
+1487	fadE14	Rv1346	MRA_1354
+2947	mbtK	Rv1347c	MRA_1355
+1212	x	Rv1348	MRA_1356
+1611	x	Rv1349	MRA_1357
+2056	fabG	Rv1350	MRA_1358
+4461	x	Rv1351	MRA_1359
+6461	x	Rv1352	MRA_1360
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+4373	x	Rv1356c	MRA_1364
+2578	x	Rv1357c	MRA_1365
+1738	x	Rv1358	MRA_1366
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+1436	x	Rv1364c	MRA_1373
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+3434	x	Rv1367c	MRA_1377
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+5263	x	Rv1377c	MRA_1386
+1465	x	Rv1378c	MRA_1387
+5281	pyrR	Rv1379	MRA_1388
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+4454	pyrC	Rv1381	MRA_1390
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+3950	carA	Rv1383	MRA_1392
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+1727	rpoZ	Rv1390	MRA_1399
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+2797	x	Rv1397c	MRA_1406
+5193	x	Rv1398c	MRA_1407
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+6946	x	Rv1439c	MRA_1447
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+3628	tal	Rv1448c	MRA_1457
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+2753	x	Rv1456c	MRA_1465
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+5298	x	Rv1465	MRA_1474
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+2916	fadE15	Rv1467c	MRA_1476
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+2676	x	Rv1543	MRA_1555
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+4199	x	Rv1545	MRA_1557
+1754	x	Rv1546	MRA_1558
+721	dnaE	Rv1547	MRA_1559
+831	PPE21	Rv1548c	MRA_1560
+5420	fadD11.1	Rv1549	MRA_1561
+3496	fadD11	Rv1550	MRA_1562
+1122	plsB1	Rv1551	MRA_1563
+1919	frdA	Rv1552	MRA_1564
+1510	frdB	Rv1553	MRA_1565
+3877	frdC	Rv1554	MRA_1566
+6197	frdD	Rv1555	MRA_1567
+2775	x	Rv1556	MRA_1568
+1675	mmpL6	Rv1557	MRA_1569
+612	x	Rv1558	MRA_1570
+5412	ilvA	Rv1559	MRA_1571
+3013	x	Rv1560	MRA_1572
+3547	x	Rv1561	MRA_1573
+1034	treZ	Rv1562c	MRA_1574
+4472	treY	Rv1563c	MRA_1575
+1099	treX	Rv1564c	MRA_1576
+3102	x	Rv1565c	MRA_1577
+3297	x	Rv1566c	MRA_1578
+2694	x	Rv1567c	MRA_1579
+1291	bioA	Rv1568	MRA_1580
+4032	bioF1	Rv1569	MRA_1581
+1604	bioD	Rv1570	MRA_1582
+854	x	Rv1571	MRA_1583
+5372	x	Rv1572c	x
+4068	x	Rv1573	MRA_1584
+5777	x	Rv1574	MRA_1585
+2885	x	Rv1575	MRA_1586
+2020	x	Rv1576c	MRA_2680
+829	x	Rv1578c	MRA_1589
+7010	x	Rv1579c	MRA_1590
+4293	x	Rv1580c	MRA_1591
+4800	x	Rv1581c	MRA_1592
+3526	x	Rv1582c	MRA_1593
+1805	x	Rv1583c	MRA_1594
+4138	x	Rv1584c	MRA_1595
+1484	x	Rv1585c	MRA_1596
+4021	x	Rv1586c	MRA_1597
+869	x	Rv1587c	MRA_1598
+630	bioB	Rv1589	MRA_1599
+5583	x	Rv1590	MRA_1600
+69	x	Rv1591	MRA_1601
+2968	x	Rv1592c	MRA_1602
+1237	x	Rv1593c	MRA_1603
+4094	nadA	Rv1594	MRA_1604
+3891	nadB	Rv1595	MRA_1605
+2518	nadC	Rv1596	MRA_1606
+2431	x	Rv1597	MRA_1607
+3479	x	Rv1598c	MRA_1608
+3138	hisD	Rv1599	MRA_1609
+482	hisC1	Rv1600	MRA_1610
+6753	hisB	Rv1601	MRA_1611
+5171	hisH	Rv1602	MRA_1612
+2967	hisA	Rv1603	MRA_1613
+4520	impA	Rv1604	MRA_1614
+4166	hisF	Rv1605	MRA_1615
+4031	hisI	Rv1606	MRA_1616
+7286	chaA	Rv1607	MRA_1617
+4694	bcpB	Rv1608c	MRA_1618
+3973	trpE	Rv1609	MRA_1619
+4291	x	Rv1610	MRA_1620
+1578	trpC	Rv1611	MRA_1621
+725	trpB	Rv1612	MRA_1622
+1625	trpA	Rv1613	MRA_1623
+3393	lgt	Rv1614	MRA_1624
+703	x	Rv1615	MRA_1625
+2276	x	Rv1616	MRA_1626
+1020	pykA	Rv1617	MRA_1627
+214	tesB1	Rv1618	MRA_1628
+1813	x	Rv1619	MRA_1629
+1018	cydC	Rv1620c	MRA_1630
+7195	cydD	Rv1621c	MRA_1631
+8	cydB	Rv1622c	MRA_1632
+1288	cydA	Rv1623c	MRA_1633
+3042	x	Rv1624c	MRA_1634
+1202	cya	Rv1625c	MRA_1635
+2006	x	Rv1626	MRA_1636
+3529	x	Rv1627c	MRA_1637
+1602	x	Rv1628c	MRA_1638
+680	polA	Rv1629	MRA_1639
+2120	rpsA	Rv1630	MRA_1640
+5548	coaE	Rv1631	MRA_1641
+3147	x	Rv1632c	MRA_1642
+3615	uvrB	Rv1633	MRA_1643
+789	x	Rv1634	MRA_1644
+3975	x	Rv1635c	MRA_1645
+6484	TB15.3	Rv1636	MRA_1646
+4772	x	Rv1637c	MRA_1647
+1261	uvrA	Rv1638	MRA_1648
+2305	x	Rv1638A	MRA_1649
+366	x	Rv1639c	MRA_1650
+1183	lysS	Rv1640c	MRA_1651
+1906	infC	Rv1641	MRA_1652
+1451	rpmI	Rv1642	MRA_1653
+3914	rplT	Rv1643	MRA_1654
+3044	tsnR	Rv1644	MRA_1655
+3175	x	Rv1645c	MRA_1656
+2831	PE17	Rv1646	MRA_1657
+2869	x	Rv1647	MRA_1658
+1044	x	Rv1648	MRA_1659
+4047	pheS	Rv1649	MRA_1660
+2727	pheT	Rv1650	MRA_1661
+579	PE_PGRS30	Rv1651c	MRA_1662
+4839	argC	Rv1652	MRA_1663
+1156	argJ	Rv1653	MRA_1664
+4035	argB	Rv1654	MRA_1665
+4733	argD	Rv1655	MRA_1666
+81	argF	Rv1656	MRA_1667
+6351	argR	Rv1657	MRA_1668
+1668	argG	Rv1658	MRA_1669
+205	argH	Rv1659	MRA_1670
+1470	pks10	Rv1660	MRA_1671
+156	pks7	Rv1661	MRA_1672
+3813	pks8	Rv1662	MRA_1673
+2749	pks17	Rv1663	MRA_1674
+1419	pks9	Rv1664	MRA_1675
+2248	pks11	Rv1665	MRA_1676
+3377	cyp139	Rv1666c	MRA_1677
+185	x	Rv1667c	MRA_1678
+7107	x	Rv1668c	MRA_1679
+2311	x	Rv1669	MRA_1679A
+5708	x	Rv1670	MRA_1680
+5689	x	Rv1671	MRA_1681
+1624	x	Rv1672c	MRA_1682
+6649	x	Rv1673c	MRA_1683
+4826	x	Rv1674c	MRA_1684
+1486	x	Rv1675c	MRA_1686
+2	x	Rv1676	MRA_1687
+1191	dsbF	Rv1677	MRA_1688
+3459	x	Rv1678	MRA_1689
+7128	fadE16	Rv1679	MRA_1690
+6557	x	Rv1680	MRA_1691
+979	moeX	Rv1681	MRA_1692
+2415	x	Rv1682	MRA_1693
+1466	x	Rv1683	MRA_1694
+2808	x	Rv1684	MRA_1694A
+3214	x	Rv1685c	MRA_1695
+1634	x	Rv1686c	MRA_1696
+4474	x	Rv1687c	MRA_1697
+5955	mpg	Rv1688	MRA_1698
+4024	tyrS	Rv1689	MRA_1699
+5611	lprJ	Rv1690	MRA_1700
+147	x	Rv1691	MRA_1701
+4326	x	Rv1692	MRA_1702
+7449	x	Rv1693	MRA_1702A
+3608	tlyA	Rv1694	MRA_1703
+5786	ppnK	Rv1695	MRA_1704
+2284	recN	Rv1696	MRA_1705
+5628	x	Rv1697	MRA_1706
+1326	x	Rv1698	MRA_1707
+1172	pyrG	Rv1699	MRA_1708
+3388	x	Rv1700	MRA_1709
+1370	xerD	Rv1701	MRA_1710
+2007	x	Rv1702c	MRA_1711
+171	x	Rv1703c	MRA_1712
+805	cycA	Rv1704c	MRA_1713
+2076	PPE22	Rv1705c	MRA_1714
+423	x	Rv1706A	MRA_1716
+671	PPE23	Rv1706c	MRA_1715
+3406	x	Rv1707	MRA_1717
+6111	x	Rv1708	MRA_1718
+1264	scpA	Rv1709	MRA_1719
+902	scpB	Rv1710	MRA_1720
+282	x	Rv1711	MRA_1721
+2242	cmk	Rv1712	MRA_1722
+3667	engA	Rv1713	MRA_1723
+3616	x	Rv1714	MRA_1724
+886	fadB3	Rv1715	MRA_1725
+425	x	Rv1716	MRA_1726
+1446	x	Rv1717	MRA_1727
+2409	x	Rv1718	MRA_1728
+334	x	Rv1719	MRA_1729
+2058	x	Rv1720c	MRA_1730
+7239	x	Rv1721c	MRA_1731
+0	x	Rv1722	MRA_1732
+4942	x	Rv1723	MRA_1733
+1256	x	Rv1724c	MRA_1734
+1495	x	Rv1725c	MRA_1735
+4596	x	Rv1726	MRA_1736
+4527	x	Rv1727	MRA_1737
+2892	x	Rv1728c	MRA_1738
+350	x	Rv1729c	MRA_1739
+246	pbp-2	Rv1730c	MRA_1740
+463	gabD2	Rv1731	MRA_1741
+3738	x	Rv1732c	MRA_1742
+3868	x	Rv1733c	MRA_1743
+6997	x	Rv1734c	MRA_1744
+4787	x	Rv1735c	MRA_1745
+18	narX	Rv1736c	MRA_1747
+499	narK2	Rv1737c	MRA_1748
+5879	x	Rv1738	MRA_1749
+504	x	Rv1739c	MRA_1750
+962	x	Rv1740	MRA_1751
+5654	x	Rv1741	MRA_1752
+4989	x	Rv1742	MRA_1753
+142	pknE	Rv1743	MRA_1754
+1060	x	Rv1744c	MRA_1755
+3978	idi	Rv1745c	MRA_1756
+2299	pknF	Rv1746	MRA_1757
+4443	x	Rv1747	MRA_1758
+6281	x	Rv1748	MRA_1759
+458	x	Rv1749c	MRA_1760
+670	fadD1	Rv1750c	MRA_1761
+996	x	Rv1751	MRA_1762
+3672	x	Rv1752	MRA_1763
+2513	PPE24	Rv1753c	MRA_1764
+772	x	Rv1754c	MRA_1765
+535	cut1	Rv1758	MRA_1771
+1475	wag22	Rv1759c	x
+1954	x	Rv1760	MRA_1774
+1312	x	Rv1761c	MRA_1775
+305	x	Rv1762c	MRA_1776
+166	x	Rv1764	MRA_2182
+5880	x	Rv1765A	MRA_1781
+427	x	Rv1765c	MRA_1780
+961	x	Rv1766	MRA_1782
+1597	x	Rv1767	MRA_1783
+2767	PE_PGRS31	Rv1768	MRA_1784
+883	x	Rv1769	MRA_1785
+101	x	Rv1770	MRA_1786
+164	x	Rv1771	MRA_1787
+4022	x	Rv1772	MRA_1788
+31	x	Rv1773c	MRA_1789
+2142	x	Rv1774	MRA_1790
+5535	x	Rv1775	MRA_1791
+1371	x	Rv1776c	MRA_1792
+1489	cyp144	Rv1777	MRA_1793
+5228	x	Rv1778c	MRA_1794
+1075	x	Rv1779c	MRA_1795
+5020	x	Rv1780	MRA_1795A
+2688	malQ	Rv1781c	MRA_1796
+920	x	Rv1782	MRA_1797
+7097	x	Rv1783	x
+635	x	Rv1784	MRA_1798
+707	cyp143	Rv1785c	MRA_1799
+3675	x	Rv1786	MRA_1800
+706	PPE25	Rv1787	MRA_1801
+2387	PE18	Rv1788	MRA_1802
+802	PPE26	Rv1789	MRA_1803
+1804	PPE27	Rv1790	MRA_1804
+4508	PE19	Rv1791	MRA_1805
+3495	x	Rv1794	MRA_1807
+1987	x	Rv1795	MRA_1808
+1968	mycP5	Rv1796	MRA_1809
+4612	x	Rv1797	MRA_1810
+1306	x	Rv1798	MRA_1811
+7223	lppT	Rv1799	MRA_1812
+977	PPE28	Rv1800	MRA_1813
+855	PPE29	Rv1801	MRA_1814
+2004	PPE30	Rv1802	MRA_1815
+2612	PE_PGRS32	Rv1803c	MRA_1816
+4421	x	Rv1804c	MRA_1817
+1600	x	Rv1805c	MRA_1817A
+6630	PE20	Rv1806	MRA_1818
+2757	PPE32	Rv1808	MRA_1820
+1776	PPE33	Rv1809	MRA_1821
+1522	x	Rv1810	MRA_1822
+1015	mgtC	Rv1811	MRA_1823
+4056	x	Rv1812c	MRA_1824
+1414	x	Rv1813c	MRA_1825
+2700	erg3	Rv1814	MRA_1826
+1974	x	Rv1815	MRA_1827
+4872	x	Rv1816	MRA_1828
+2594	x	Rv1817	MRA_1829
+1982	PE_PGRS33	Rv1818c	MRA_1830
+3192	x	Rv1819c	MRA_1831
+4418	ilvG	Rv1820	MRA_1832
+472	secA2	Rv1821	MRA_1833
+5466	pgsA2	Rv1822	MRA_1834
+5052	x	Rv1823	MRA_1835
+1599	x	Rv1824	MRA_1836
+3782	x	Rv1825	MRA_1837
+1856	gcvH	Rv1826	MRA_1838
+5541	cfp17	Rv1827	MRA_1839
+3716	x	Rv1828	MRA_1840
+3031	x	Rv1829	MRA_1841
+2604	x	Rv1830	MRA_1842
+3034	x	Rv1831	MRA_1842A
+1925	gcvB	Rv1832	MRA_1843
+2265	x	Rv1833c	MRA_1844
+2114	x	Rv1834	MRA_1845
+1444	x	Rv1835c	MRA_1846
+3084	x	Rv1836c	MRA_1847
+272	glcB	Rv1837c	MRA_1848
+414	x	Rv1838c	MRA_1849
+5207	x	Rv1839c	MRA_1850
+863	PE_PGRS34	Rv1840c	MRA_1851
+1930	x	Rv1841c	MRA_1852
+2192	x	Rv1842c	MRA_1853
+2927	guaB1	Rv1843c	MRA_1854
+4974	gnd1	Rv1844c	MRA_1855
+6056	x	Rv1845c	MRA_1856
+4188	x	Rv1846c	MRA_1857
+4574	x	Rv1847	MRA_1858
+5463	ureA	Rv1848	MRA_1859
+3016	ureB	Rv1849	MRA_1860
+5798	ureC	Rv1850	MRA_1861
+5264	ureF	Rv1851	MRA_1862
+2613	ureG	Rv1852	MRA_1863
+1553	ureD	Rv1853	MRA_1864
+3557	ndh	Rv1854c	MRA_1865
+3797	x	Rv1855c	MRA_1866
+6027	x	Rv1856c	MRA_1867
+6271	modA	Rv1857	MRA_1868
+597	modB	Rv1858	MRA_1869
+1601	modC	Rv1859	MRA_1870
+1949	apa	Rv1860	MRA_1871
+1377	x	Rv1861	MRA_1872
+295	adhA	Rv1862	MRA_1873
+2441	x	Rv1863c	MRA_1874
+2219	x	Rv1864c	MRA_1875
+4681	x	Rv1865c	MRA_1876
+2180	x	Rv1866	MRA_1877
+2522	x	Rv1867	MRA_1878
+2574	x	Rv1868	MRA_1879
+698	x	Rv1869c	MRA_1880
+705	x	Rv1870c	MRA_1881
+6405	x	Rv1871c	MRA_1882
+2952	lldD2	Rv1872c	MRA_1883
+1764	x	Rv1873	MRA_1884
+1092	x	Rv1874	MRA_1885
+4261	x	Rv1875	MRA_1886
+6002	bfrA	Rv1876	MRA_1887
+2330	x	Rv1877	MRA_1888
+2095	glnA3	Rv1878	MRA_1889
+2205	x	Rv1879	MRA_1890
+3011	cyp140	Rv1880c	MRA_1891
+3065	lppE	Rv1881c	MRA_1892
+5059	x	Rv1882c	MRA_1893
+2728	x	Rv1883c	MRA_1894
+435	rpfC	Rv1884c	MRA_1895
+3974	x	Rv1885c	MRA_1896
+1074	fbpB	Rv1886c	MRA_1897
+398	x	Rv1887	MRA_1898
+329	x	Rv1888A	MRA_1899A
+3524	x	Rv1888c	MRA_1899
+1928	x	Rv1889c	MRA_1900
+1603	x	Rv1890c	MRA_1901
+2017	x	Rv1891	MRA_1902
+2817	x	Rv1892	MRA_1903
+7423	x	Rv1893	MRA_1904
+202	x	Rv1894c	MRA_1905
+2949	x	Rv1895	MRA_1907
+5584	x	Rv1896c	MRA_1908
+5325	x	Rv1897c	MRA_1909
+6487	x	Rv1898	MRA_1909A
+158	lppD	Rv1899c	MRA_1910
+1094	lipJ	Rv1900c	MRA_1911
+4696	cinA	Rv1901	MRA_1912
+1460	nanT	Rv1902c	MRA_1913
+1582	x	Rv1903	MRA_1914
+820	x	Rv1904	MRA_1915
+1935	aao	Rv1905c	MRA_1916
+1410	x	Rv1906c	MRA_1917
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+1356	katG	Rv1908c	MRA_1919
+2250	furA	Rv1909c	MRA_1920
+1651	x	Rv1910c	MRA_1921
+15	lppC	Rv1911c	MRA_1922
+471	fadB5	Rv1912c	MRA_1923
+4151	x	Rv1913	MRA_1924
+4257	x	Rv1914c	MRA_1925
+773	aceAa	Rv1915	MRA_1926
+2971	aceAb	Rv1916	MRA_1927
+1106	PPE34	Rv1917c	MRA_1928
+615	PPE35	Rv1918c	MRA_1929
+4434	x	Rv1919c	MRA_1930
+3954	x	Rv1920	MRA_1931
+4657	lppF	Rv1921c	MRA_1932
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+904	fadD31	Rv1925	MRA_1936
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+4830	x	Rv1927	MRA_1938
+4755	x	Rv1928c	MRA_1939
+1331	x	Rv1929c	MRA_1940
+665	x	Rv1930c	MRA_1940A
+4501	x	Rv1931c	MRA_1941
+4889	tpx	Rv1932	MRA_1942
+2806	fadE18	Rv1933c	MRA_1943
+2170	fadE17	Rv1934c	MRA_1944
+57	echA13	Rv1935c	MRA_1945
+112	x	Rv1936	MRA_1946
+1631	x	Rv1937	MRA_1947
+2550	ephB	Rv1938	MRA_1948
+5668	x	Rv1939	MRA_1949
+867	ribA1	Rv1940	MRA_1950
+7398	x	Rv1941	MRA_1951
+4775	x	Rv1942c	MRA_1952
+7115	x	Rv1943c	MRA_1953
+127	x	Rv1944c	MRA_1954
+619	lppG	Rv1946c	MRA_1956
+4834	x	Rv1947	MRA_1957
+5494	x	Rv1948c	MRA_1958
+52	x	Rv1950c	MRA_1960
+1536	x	Rv1951c	MRA_1961
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+3055	x	Rv1953	MRA_1963
+2639	x	Rv1954c	x
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+1834	x	Rv1956	MRA_1965
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+6423	x	Rv1958c	MRA_1967
+4535	parE	Rv1959c	MRA_1968
+6144	x	Rv1960c	MRA_1969
+6504	x	Rv1961	MRA_1970
+5504	x	Rv1962c	MRA_1971
+4523	mce3R	Rv1963c	MRA_1973
+2334	yrbE3A	Rv1964	MRA_1975
+1376	yrbE3B	Rv1965	MRA_1976
+2897	mce3A	Rv1966	MRA_1977
+1149	mce3B	Rv1967	MRA_1978
+1632	mce3C	Rv1968	MRA_1979
+3198	mce3D	Rv1969	MRA_1980
+2406	lprM	Rv1970	MRA_1981
+1244	mce3F	Rv1971	MRA_1982
+2881	x	Rv1972	MRA_1983
+1211	x	Rv1973	MRA_1984
+5119	x	Rv1974	MRA_1985
+3486	x	Rv1975	MRA_1986
+519	x	Rv1976c	MRA_1987
+4616	x	Rv1977	MRA_1988
+4720	x	Rv1978	MRA_1989
+1997	x	Rv1979c	MRA_1990
+1990	mpt64	Rv1980c	MRA_1991
+5817	nrdF1	Rv1981c	MRA_1992
+3427	x	Rv1982c	MRA_1993
+1335	PE_PGRS35	Rv1983	MRA_1995
+3502	cfp21	Rv1984c	MRA_1996
+2087	x	Rv1985c	MRA_1998
+3866	x	Rv1986	MRA_1999
+3449	x	Rv1987	MRA_2000
+1962	x	Rv1988	MRA_2001
+1923	x	Rv1989c	MRA_2003
+3311	x	Rv1990A	MRA_2005
+1450	x	Rv1990c	MRA_2004
+2932	x	Rv1991c	MRA_2006
+107	ctpG	Rv1992c	MRA_2008
+522	x	Rv1993c	MRA_2009
+2786	x	Rv1994c	MRA_2010
+422	x	Rv1995	MRA_2011
+824	x	Rv1996	MRA_2012
+281	ctpF	Rv1997	MRA_2013
+786	x	Rv1998c	MRA_2014
+289	x	Rv1999c	MRA_2015
+397	x	Rv2000	MRA_2016
+1210	x	Rv2001	MRA_2017
+3530	fabG3	Rv2002	MRA_2018
+4909	x	Rv2003c	MRA_2019
+3489	x	Rv2004c	MRA_2020
+3403	x	Rv2005c	MRA_2021
+5558	otsB1	Rv2006	MRA_2022
+5367	fdxA	Rv2007c	MRA_2023
+1420	x	Rv2008c	MRA_2024
+2791	x	Rv2009	MRA_2025
+7078	x	Rv2010	MRA_2026
+4982	x	Rv2011c	MRA_2027
+3149	x	Rv2012	MRA_2028
+5550	x	Rv2013	MRA_2029
+1324	x	Rv2014	MRA_2030
+3770	x	Rv2016	MRA_2032
+1732	x	Rv2017	MRA_2033
+640	x	Rv2018	MRA_2034
+3959	x	Rv2019	MRA_2035
+4217	x	Rv2020c	MRA_2036
+241	x	Rv2021c	MRA_2037
+2181	x	Rv2022c	MRA_2038
+3390	x	Rv2023c	MRA_2038A
+4606	x	Rv2024c	MRA_2039
+1540	x	Rv2025c	MRA_2040
+5242	x	Rv2026c	MRA_2041
+413	x	Rv2027c	MRA_2042
+780	x	Rv2028c	MRA_2043
+5187	pfkB	Rv2029c	MRA_2044
+224	x	Rv2030c	MRA_2045
+1881	hspX	Rv2031c	MRA_2046
+3522	acg	Rv2032	MRA_2047
+2701	x	Rv2033c	MRA_2048
+832	x	Rv2034	MRA_2049
+4433	x	Rv2035	MRA_2050
+934	x	Rv2036	MRA_2051
+2193	x	Rv2037c	MRA_2052
+2356	x	Rv2038c	MRA_2053
+2933	x	Rv2039c	MRA_2054
+762	x	Rv2040c	MRA_2055
+2714	x	Rv2041c	MRA_2056
+1349	x	Rv2042c	MRA_2057
+294	pncA	Rv2043c	MRA_2058
+5596	x	Rv2044c	MRA_2059
+1138	lipT	Rv2045c	MRA_2060
+3130	lppI	Rv2046	MRA_2061
+2128	x	Rv2047c	MRA_2062
+1702	pks12	Rv2048c	MRA_2063
+4947	x	Rv2049c	MRA_2064
+4623	x	Rv2050	MRA_2065
+94	ppm1	Rv2051c	MRA_2066
+953	x	Rv2052c	MRA_2067
+5092	fxsA	Rv2053c	MRA_2068
+3270	x	Rv2054	MRA_2069
+6576	rpsR	Rv2055c	MRA_2070
+6124	rpsN	Rv2056c	MRA_2071
+7388	rpmG	Rv2057c	MRA_2072
+5832	rpmB	Rv2058c	MRA_2073
+3583	x	Rv2059	MRA_2074
+6973	x	Rv2060	x
+1477	x	Rv2061c	MRA_2074A
+2744	cobN	Rv2062c	MRA_2075
+821	x	Rv2063	MRA_2076
+614	cobG	Rv2064	MRA_2078
+6201	cobH	Rv2065	MRA_2079
+431	cobI	Rv2066	MRA_2080
+5283	x	Rv2067c	MRA_2081
+4026	blaC	Rv2068c	MRA_2082
+5267	sigC	Rv2069	MRA_2083
+2198	cobK	Rv2070c	MRA_2084
+3759	cobM	Rv2071c	MRA_2085
+4455	cobL	Rv2072c	MRA_2086
+1752	x	Rv2073c	MRA_2087
+3725	x	Rv2074	MRA_2088
+575	x	Rv2075c	MRA_2089
+1433	x	Rv2076c	MRA_2090
+4235	x	Rv2077A	MRA_2091A
+5866	x	Rv2077c	MRA_2091
+6096	x	Rv2078	MRA_2092
+4080	x	Rv2079	MRA_2093
+90	lppJ	Rv2080	MRA_2094
+5500	x	Rv2081c	MRA_2096
+91	x	Rv2082	MRA_2098
+1144	x	Rv2083	MRA_2099
+6749	x	Rv2084	MRA_2100
+6772	x	Rv2085	MRA_2101
+4346	x	Rv2086	MRA_2102
+2427	x	Rv2087	x
+1564	pknJ	Rv2088	MRA_2103
+46	pepE	Rv2089c	MRA_2104
+1709	x	Rv2090	MRA_2105
+2587	x	Rv2091c	MRA_2106
+690	helY	Rv2092c	MRA_2107
+1112	tatC	Rv2093c	MRA_2108
+1078	tatA	Rv2094c	MRA_2109
+2478	x	Rv2095c	MRA_2110
+2175	x	Rv2096c	MRA_2111
+1390	x	Rv2097c	MRA_2112
+415	x	Rv2100	MRA_2114
+1118	helZ	Rv2101	MRA_2115
+395	x	Rv2102	MRA_2116
+5742	x	Rv2103c	MRA_2117
+3931	x	Rv2104c	MRA_2118
+2878	PE22	Rv2107	MRA_2122
+2683	PPE36	Rv2108	MRA_2123
+3374	prcA	Rv2109c	MRA_2124
+2633	prcB	Rv2110c	MRA_2125
+1827	x	Rv2111c	MRA_2126
+137	x	Rv2112c	MRA_2127
+2532	x	Rv2113	MRA_2128
+418	x	Rv2114	MRA_2129
+1259	x	Rv2115c	MRA_2130
+5122	lppK	Rv2116	MRA_2131
+5572	x	Rv2117	MRA_2132
+3605	x	Rv2118c	MRA_2133
+2793	x	Rv2119	MRA_2134
+1316	x	Rv2120c	MRA_2135
+748	hisG	Rv2121c	MRA_2136
+5290	hisE	Rv2122c	MRA_2137
+978	PPE37	Rv2123	MRA_2138
+861	metH	Rv2124c	MRA_2139
+3781	x	Rv2125	MRA_2140
+3822	PE_PGRS37	Rv2126c	MRA_2140A
+3515	ansP1	Rv2127	MRA_2141
+4034	x	Rv2128	MRA_2142
+4910	x	Rv2129c	MRA_2143
+4318	cysS	Rv2130c	MRA_2144
+4642	cysQ	Rv2131c	MRA_2145
+6732	x	Rv2132	MRA_2146
+133	x	Rv2133c	MRA_2147
+6120	x	Rv2134c	MRA_2148
+4044	x	Rv2135c	MRA_2149
+5247	uppP	Rv2136c	MRA_2150
+4499	x	Rv2137c	MRA_2151
+1311	lppL	Rv2138	MRA_2152
+315	pyrD	Rv2139	MRA_2153
+5889	TB18.6	Rv2140c	MRA_2154
+3361	x	Rv2141c	MRA_2155
+2976	x	Rv2142c	MRA_2156
+6203	x	Rv2143	MRA_2158
+6017	x	Rv2144c	MRA_2159
+1733	wag31	Rv2145c	MRA_2160
+2908	x	Rv2146c	MRA_2161
+565	x	Rv2147c	MRA_2162
+56	x	Rv2148c	MRA_2163
+2383	yfiH	Rv2149c	MRA_2164
+4344	ftsZ	Rv2150c	MRA_2165
+2446	ftsQ	Rv2151c	MRA_2166
+629	murC	Rv2152c	MRA_2167
+2740	murG	Rv2153c	MRA_2168
+48	ftsW	Rv2154c	MRA_2169
+1150	murD	Rv2155c	MRA_2170
+2737	mraY	Rv2156c	MRA_2171
+4351	murF	Rv2157c	MRA_2172
+353	murE	Rv2158c	MRA_2173
+4757	x	Rv2159c	MRA_2174
+5507	x	Rv2160A	x
+5327	x	Rv2160c	MRA_2175
+4036	x	Rv2161c	MRA_2176
+576	PE_PGRS38	Rv2162c	MRA_2177
+1320	pbpB	Rv2163c	MRA_2178
+2742	x	Rv2164c	MRA_2179
+2410	mraW	Rv2165c	MRA_2180
+7430	x	Rv2166c	MRA_2181
+1904	x	Rv2169c	MRA_2184
+1665	x	Rv2170	MRA_2185
+2989	lppM	Rv2171	MRA_2186
+2166	x	Rv2172c	MRA_2187
+3157	idsA2	Rv2173	MRA_2188
+594	x	Rv2174	MRA_2189
+2031	x	Rv2175c	MRA_2190
+2253	pknL	Rv2176	MRA_2191
+3248	aroG	Rv2178c	MRA_2193
+7165	x	Rv2179c	MRA_2194
+1940	x	Rv2180c	MRA_2195
+1823	x	Rv2181	MRA_2196
+4600	x	Rv2182c	MRA_2197
+5703	x	Rv2183c	MRA_2198
+803	x	Rv2184c	MRA_2199
+6754	TB16.3	Rv2185c	MRA_2200
+4544	x	Rv2186c	MRA_2201
+667	fadD15	Rv2187	MRA_2202
+940	x	Rv2188c	MRA_2203
+2151	x	Rv2189c	MRA_2204
+276	x	Rv2190c	MRA_2205
+384	x	Rv2191	MRA_2207
+2318	trpD	Rv2192c	MRA_2208
+3115	ctaE	Rv2193	MRA_2209
+1293	qcrC	Rv2194	MRA_2210
+6236	qcrA	Rv2195	MRA_2211
+4006	qcrB	Rv2196	MRA_2212
+540	x	Rv2197c	MRA_2213
+2459	mmpS3	Rv2198c	MRA_2214
+7049	x	Rv2199c	MRA_2215
+5177	ctaC	Rv2200c	MRA_2216
+5933	asnB	Rv2201	MRA_2217
+3540	cbhK	Rv2202c	MRA_2218
+3771	x	Rv2203	MRA_2219
+5120	x	Rv2204c	MRA_2220
+2354	x	Rv2205c	MRA_2221
+2152	x	Rv2206	MRA_2222
+4741	cobT	Rv2207	MRA_2223
+926	cobS	Rv2208	MRA_2224
+4758	x	Rv2209	MRA_2225
+3554	ilvE	Rv2210c	MRA_2226
+3104	gcvT	Rv2211c	MRA_2227
+1877	x	Rv2212	MRA_2228
+4234	pepB	Rv2213	MRA_2229
+2174	ephD	Rv2214c	MRA_2230
+2979	dlaT	Rv2215	MRA_2231
+598	x	Rv2216	MRA_2232
+1567	lipB	Rv2217	MRA_2233
+1309	lipA	Rv2218	MRA_2234
+4303	x	Rv2219	MRA_2235
+571	x	Rv2219A	MRA_2236
+4559	glnA1	Rv2220	MRA_2237
+3348	glnE	Rv2221c	MRA_2238
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+263	slpD	Rv2223c	MRA_2240
+2719	x	Rv2224c	MRA_2241
+5359	panB	Rv2225	MRA_2243
+4599	rnpB	Rv2226	MRA_2244
+6831	x	Rv2227	x
+1133	x	Rv2228c	MRA_2247
+2260	x	Rv2229c	MRA_2248
+72	x	Rv2230c	MRA_2249
+102	cobC	Rv2231c	MRA_2250
+1217	x	Rv2232	MRA_2252
+4867	ptpA	Rv2234	MRA_2253
+2906	surF1	Rv2235	MRA_2254
+2263	cobD	Rv2236c	MRA_2255
+642	x	Rv2237	MRA_2256
+43	ahpE	Rv2238c	MRA_2258
+1796	x	Rv2239c	MRA_2259
+2567	x	Rv2240c	MRA_2260
+197	aceE	Rv2241	MRA_2261
+1255	x	Rv2242	MRA_2262
+1146	fabD	Rv2243	MRA_2263
+6712	acpP	Rv2244	MRA_2264
+1062	kasA	Rv2245	MRA_2265
+2863	kasB	Rv2246	MRA_2266
+6212	accD6	Rv2247	MRA_2267
+291	x	Rv2248	MRA_2268
+4045	glpD1	Rv2249c	MRA_2269
+5118	x	Rv2250A	x
+997	x	Rv2250c	MRA_2270
+3443	x	Rv2251	MRA_2271
+3844	x	Rv2252	MRA_2272
+3213	x	Rv2253	MRA_2273
+5305	x	Rv2254c	MRA_2274
+6942	x	Rv2255c	MRA_2275
+5055	x	Rv2256c	MRA_2277
+974	x	Rv2257c	MRA_2278
+530	x	Rv2258c	MRA_2279
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+4392	x	Rv2260	MRA_2281
+708	x	Rv2261c	MRA_2281A
+4	x	Rv2262c	MRA_2282
+2723	x	Rv2263	MRA_2283
+1247	x	Rv2264c	MRA_2284
+1909	x	Rv2265	MRA_2285
+1618	cyp124	Rv2266	MRA_2286
+2586	x	Rv2267c	MRA_2287
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+1792	lppN	Rv2270	MRA_2289
+6528	x	Rv2271	MRA_2290
+3617	x	Rv2272	MRA_2291
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+2088	x	Rv2274c	MRA_2293
+2883	x	Rv2275	MRA_2294
+3284	cyp121	Rv2276	MRA_2295
+2675	x	Rv2277c	MRA_2296
+58	x	Rv2280	MRA_2299
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+3811	x	Rv2282c	MRA_2301
+7214	x	Rv2283	MRA_2301A
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+5262	x	Rv2286c	MRA_2304
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+3924	sseB	Rv2291	MRA_2308
+1590	x	Rv2292c	MRA_2309
+3045	x	Rv2293c	MRA_2310
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+2457	x	Rv2295	MRA_2312
+1240	x	Rv2296	MRA_2313
+5766	x	Rv2297	MRA_2314
+1681	x	Rv2298	MRA_2315
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+4186	cut2	Rv2301	MRA_2318
+4933	x	Rv2302	MRA_2318A
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+2672	x	Rv2304c	MRA_2320
+3977	x	Rv2305	MRA_2321
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+4905	x	Rv2307A	MRA_2324
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+2511	x	Rv2308	MRA_2327
+1440	x	Rv2309A	MRA_2329A
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+317	x	Rv2310	MRA_2330
+2614	x	Rv2311	MRA_2331
+6797	x	Rv2312	MRA_2332
+4170	x	Rv2313c	MRA_2333
+3633	x	Rv2314c	MRA_2334
+2067	x	Rv2315c	MRA_2335
+99	uspA	Rv2316	MRA_2336
+1503	uspB	Rv2317	MRA_2337
+5763	uspC	Rv2318	MRA_2338
+3136	x	Rv2319c	MRA_2339
+1285	rocE	Rv2320c	MRA_2340
+5381	rocD2	Rv2321c	MRA_2341
+231	rocD1	Rv2322c	MRA_2342
+4253	x	Rv2323c	MRA_2343
+960	x	Rv2324	MRA_2344
+3949	x	Rv2325c	MRA_2345
+1808	x	Rv2326c	MRA_2346
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+1141	narK1	Rv2329c	MRA_2349
+4429	lppP	Rv2330c	MRA_2350
+3341	x	Rv2331	MRA_2351
+2089	x	Rv2331A	MRA_2351A
+1816	mez	Rv2332	MRA_2352
+4497	x	Rv2333c	MRA_2353
+711	cysK1	Rv2334	MRA_2354
+1136	cysE	Rv2335	MRA_2355
+1155	x	Rv2336	MRA_2356
+1383	x	Rv2337c	MRA_2357
+2391	moeW	Rv2338c	MRA_2358
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+581	PE_PGRS39	Rv2340c	MRA_2360
+3776	lppQ	Rv2341	MRA_2361
+988	x	Rv2342	MRA_2362
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+3029	dgt	Rv2344c	MRA_2364
+741	x	Rv2345	MRA_2365
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+1095	plcC	Rv2349c	MRA_2369
+2756	plcB	Rv2351c	MRA_2371
+888	PPE38	Rv2352c	MRA_2376
+4263	PPE39	Rv2353c	MRA_2377
+1566	PPE40	Rv2356c	MRA_2380
+1047	glyS	Rv2357c	MRA_2381
+6985	x	Rv2358	MRA_2382
+3050	furB	Rv2359	MRA_2383
+5404	x	Rv2360c	MRA_2384
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+2090	recO	Rv2362c	MRA_2386
+688	amiA2	Rv2363	MRA_2387
+2131	era	Rv2364c	MRA_2388
+5837	x	Rv2365c	MRA_2389
+2657	x	Rv2366c	MRA_2390
+140	x	Rv2367c	MRA_2391
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+7352	x	Rv2369c	MRA_2392A
+2963	x	Rv2370c	MRA_2393
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+4935	dnaJ2	Rv2373c	MRA_2396
+3269	hrcA	Rv2374c	MRA_2397
+7110	x	Rv2375	MRA_2398
+4967	cfp2	Rv2376c	MRA_2399
+6269	mbtH	Rv2377c	MRA_2400
+7253	mbtG	Rv2378c	MRA_2401
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+1246	mbtE	Rv2380c	MRA_2403
+5710	mbtD	Rv2381c	MRA_2404
+944	mbtC	Rv2382c	MRA_2405
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+4480	mbtA	Rv2384	MRA_2407
+4610	mbtJ	Rv2385	MRA_2408
+4853	mbtI	Rv2386c	MRA_2409
+5108	x	Rv2387	MRA_2411
+3965	hemN	Rv2388c	MRA_2412
+2160	rpfD	Rv2389c	MRA_2413
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+669	nirA	Rv2391	MRA_2415
+3159	cysH	Rv2392	MRA_2416
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+1742	ggtB	Rv2394	MRA_2418
+3143	x	Rv2395	MRA_2419
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+1392	cysA1	Rv2397c	MRA_2421
+4072	cysW	Rv2398c	MRA_2422
+5876	cysT	Rv2399c	MRA_2423
+4117	subI	Rv2400c	MRA_2424
+3238	x	Rv2401	x
+6284	x	Rv2401A	MRA_2425
+3321	x	Rv2402	MRA_2426
+3099	lppR	Rv2403c	MRA_2427
+1841	lepA	Rv2404c	MRA_2428
+4916	x	Rv2405	MRA_2429
+1572	x	Rv2406c	MRA_2430
+308	x	Rv2407	MRA_2431
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+648	x	Rv2409c	MRA_2434
+6215	x	Rv2410c	MRA_2435
+3845	x	Rv2411c	MRA_2436
+4331	rpsT	Rv2412	MRA_2437
+1403	x	Rv2413c	MRA_2438
+1282	x	Rv2414c	MRA_2439
+367	x	Rv2415c	MRA_2440
+1014	eis	Rv2416c	MRA_2442
+755	x	Rv2417c	MRA_2443
+1647	x	Rv2418c	MRA_2444
+3180	x	Rv2419c	MRA_2445
+1917	x	Rv2420c	MRA_2446
+2448	nadD	Rv2421c	MRA_2447
+7424	x	Rv2422	MRA_2448
+3592	x	Rv2423	MRA_2449
+621	x	Rv2424c	MRA_2450
+5380	x	Rv2425c	MRA_2451
+3791	x	Rv2426c	MRA_2452
+1161	proA	Rv2427c	MRA_2453
+2687	ahpC	Rv2428	MRA_2455
+4852	ahpD	Rv2429	MRA_2456
+4744	PPE41	Rv2430c	MRA_2457
+4939	PE25	Rv2431c	MRA_2458
+753	x	Rv2432c	MRA_2458A
+5501	x	Rv2433c	MRA_2459
+1001	x	Rv2434c	MRA_2460
+3820	x	Rv2435c	MRA_2461
+3638	rbsK	Rv2436	MRA_2462
+1573	x	Rv2437	MRA_2463
+5896	x	Rv2438A	x
+474	nadE	Rv2438c	MRA_2464
+1610	proB	Rv2439c	MRA_2465
+2646	obgE	Rv2440c	MRA_2466
+3375	rpmA	Rv2441c	MRA_2467
+1178	rplU	Rv2442c	MRA_2468
+4378	dctA	Rv2443	MRA_2469
+511	rne	Rv2444c	MRA_2470
+2873	ndk	Rv2445c	MRA_2471
+4530	x	Rv2446c	MRA_2472
+1070	folC	Rv2447c	MRA_2473
+3314	valS	Rv2448c	MRA_2474
+4085	x	Rv2449c	MRA_2475
+1468	rpfE	Rv2450c	MRA_2476
+3015	x	Rv2451	MRA_2477
+6084	x	Rv2452c	MRA_2478
+1315	mobA	Rv2453c	MRA_2479
+2453	x	Rv2454c	MRA_2480
+2378	x	Rv2455c	MRA_2481
+1677	x	Rv2456c	MRA_2482
+3468	clpX	Rv2457c	MRA_2483
+4511	mmuM	Rv2458	MRA_2484
+62	x	Rv2459	MRA_2485
+6798	clpP2	Rv2460c	MRA_2486
+853	clpP	Rv2461c	MRA_2487
+3494	tig	Rv2462c	MRA_2488
+4615	lipP	Rv2463	MRA_2489
+232	fpg-1	Rv2464c	MRA_2490
+1762	x	Rv2465c	MRA_2491
+44	x	Rv2466c	x
+1485	pepN	Rv2467	MRA_2493
+6888	x	Rv2468c	MRA_2494
+3165	x	Rv2469c	MRA_2495
+2228	glbO	Rv2470	MRA_2496
+369	aglA	Rv2471	MRA_2497
+4919	x	Rv2472	MRA_2498
+877	x	Rv2473	MRA_2499
+412	x	Rv2474c	MRA_2500
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+1513	gdh	Rv2476c	MRA_2501
+124	x	Rv2477c	MRA_2502
+5406	x	Rv2478c	MRA_2503
+7198	x	Rv2481c	MRA_2506
+1794	plsB2	Rv2482c	MRA_2507
+4424	plsC	Rv2483c	MRA_2508
+2161	x	Rv2484c	MRA_2509
+3863	lipQ	Rv2485c	MRA_2510
+2894	echA14	Rv2486	MRA_2511
+20	PE_PGRS42	Rv2487c	MRA_2512
+4187	x	Rv2488c	MRA_2513
+1393	x	Rv2489c	MRA_2514
+2862	PE_PGRS43	Rv2490c	MRA_2515
+4298	x	Rv2491	MRA_2517
+97	x	Rv2492	MRA_2518
+2886	x	Rv2493	MRA_2519
+1239	x	Rv2494	MRA_2520
+1883	pdhC	Rv2495c	MRA_2521
+2189	pdhB	Rv2496c	MRA_2522
+846	pdhA	Rv2497c	MRA_2523
+1985	citE	Rv2498c	MRA_2524
+4417	x	Rv2499c	MRA_2525
+53	fadE19	Rv2500c	MRA_2526
+2313	accA1	Rv2501c	MRA_2527
+3642	accD1	Rv2502c	MRA_2528
+3708	scoB	Rv2503c	MRA_2529
+183	scoA	Rv2504c	MRA_2530
+1580	fadD35	Rv2505c	MRA_2531
+5114	x	Rv2506	MRA_2532
+4158	x	Rv2507	MRA_2533
+1896	x	Rv2508c	MRA_2534
+1330	x	Rv2509	MRA_2535
+533	x	Rv2510c	MRA_2536
+5343	orn	Rv2511	MRA_2537
+790	x	Rv2513	MRA_2540
+219	x	Rv2514c	MRA_2541
+2515	x	Rv2515c	MRA_2542
+2472	x	Rv2516c	MRA_2543
+6688	x	Rv2517c	MRA_2544
+2842	lppS	Rv2518c	MRA_2545
+4435	PE26	Rv2519	MRA_2546
+7529	x	Rv2520c	MRA_2547
+2999	bcp	Rv2521	MRA_2548
+2715	x	Rv2522c	MRA_2549
+1799	acpS	Rv2523c	MRA_2550
+330	fas	Rv2524c	MRA_2551
+2108	x	Rv2525c	MRA_2552
+4875	x	Rv2526	MRA_2553
+3121	x	Rv2527	MRA_2554
+5647	mrr	Rv2528c	MRA_2555
+3082	x	Rv2529	MRA_2556
+4428	x	Rv2530A	MRA_2558
+2271	x	Rv2530c	MRA_2557
+1342	x	Rv2531c	MRA_2559
+5196	x	Rv2532c	MRA_2560
+6833	nusB	Rv2533c	MRA_2561
+5491	efp	Rv2534c	MRA_2562
+1338	pepQ	Rv2535c	MRA_2563
+2924	x	Rv2536	MRA_2564
+6743	aroD	Rv2537c	MRA_2565
+399	aroB	Rv2538c	MRA_2566
+4264	aroK	Rv2539c	MRA_2567
+766	aroF	Rv2540c	MRA_2568
+1622	x	Rv2541	MRA_2569
+768	x	Rv2542	MRA_2570
+196	lppA	Rv2544	MRA_2572
+3219	x	Rv2545	MRA_2573
+351	x	Rv2546	MRA_2574
+2981	x	Rv2547	MRA_2575
+823	x	Rv2548	MRA_2576
+1220	x	Rv2549c	MRA_2578
+5825	x	Rv2550c	MRA_2579
+2035	aroE	Rv2551c	MRA_2580
+1327	aroE	Rv2552c	MRA_2581
+3151	x	Rv2553c	MRA_2582
+6185	x	Rv2554c	MRA_2583
+850	alaS	Rv2555c	MRA_2584
+1033	x	Rv2556c	MRA_2585
+1686	x	Rv2557	MRA_2586
+6342	x	Rv2558	MRA_2587
+1932	x	Rv2559c	MRA_2588
+976	x	Rv2560	MRA_2589
+2828	x	Rv2561	x
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+2394	x	Rv2563	MRA_2592
+1558	glnQ	Rv2564	MRA_2593
+4322	x	Rv2565	MRA_2594
+1708	x	Rv2566	MRA_2595
+2571	x	Rv2567	MRA_2596
+4556	x	Rv2568c	MRA_2597
+2030	x	Rv2569c	MRA_2598
+2557	x	Rv2570	MRA_2599
+1415	x	Rv2571c	MRA_2600
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+9	x	Rv2573	MRA_2602
+3437	x	Rv2574	MRA_2603
+5483	x	Rv2575	MRA_2604
+3421	x	Rv2576c	MRA_2605
+862	x	Rv2577	MRA_2606
+2944	x	Rv2578c	MRA_2607
+5235	dhaA	Rv2579	MRA_2608
+726	hisS	Rv2580c	MRA_2609
+5496	x	Rv2581c	MRA_2610
+523	ppiB	Rv2582	MRA_2611
+1307	relA	Rv2583c	MRA_2612
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+2048	x	Rv2585c	MRA_2614
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+438	yajC	Rv2588c	MRA_2617
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+2421	PE_PGRS44	Rv2591	MRA_2620
+658	ruvB	Rv2592c	MRA_2621
+5641	ruvA	Rv2593c	MRA_2622
+5449	ruvC	Rv2594c	MRA_2623
+3056	x	Rv2595	MRA_2623A
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+1644	x	Rv2598	MRA_2626
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+3510	x	Rv2600	MRA_2628
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+3895	x	Rv2601A	MRA_2629A
+1775	x	Rv2602	MRA_2630
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+1031	x	Rv2606c	MRA_2634
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+795	x	Rv2609c	MRA_2637
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+1298	x	Rv2611c	MRA_2639
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+4632	x	Rv2640c	MRA_2669
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+157	x	Rv2698	MRA_2726
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+3636	x	Rv2857c	MRA_2882
+302	aldC	Rv2858c	MRA_2883
+293	x	Rv2859c	MRA_2884
+2126	glnA4	Rv2860c	MRA_2885
+5067	mapB	Rv2861c	MRA_2886
+6304	x	Rv2862c	MRA_2887
+6850	x	Rv2863	MRA_2888
+764	x	Rv2864c	MRA_2889
+5853	x	Rv2865	MRA_2890
+2946	x	Rv2866	MRA_2891
+5764	x	Rv2867c	MRA_2892
+4684	ispG	Rv2868c	MRA_2893
+5952	x	Rv2869c	MRA_2894
+1283	dxr	Rv2870c	MRA_2895
+3184	x	Rv2871	MRA_2895A
+6802	x	Rv2872	MRA_2896
+421	mpt83	Rv2873	MRA_2897
+804	dipZ	Rv2874	MRA_2899
+1054	mpt70	Rv2875	MRA_2900
+3737	x	Rv2876	MRA_2901
+4342	x	Rv2877c	MRA_2902
+2364	mpt53	Rv2878c	MRA_2903
+7261	x	Rv2880c	MRA_2905
+811	cdsA	Rv2881c	MRA_2906
+7452	frr	Rv2882c	MRA_2907
+644	pyrH	Rv2883c	MRA_2908
+4653	x	Rv2884	MRA_2909
+4926	x	Rv2886c	MRA_2911
+6645	x	Rv2887	MRA_2912
+4494	amiC	Rv2888c	MRA_2913
+1508	tsf	Rv2889c	MRA_2914
+5753	rpsB	Rv2890c	MRA_2915
+3815	x	Rv2891	MRA_2916
+921	PPE45	Rv2892c	MRA_2917
+1538	x	Rv2893	MRA_2918
+304	xerC	Rv2894c	MRA_2919
+3766	viuB	Rv2895c	MRA_2920
+3991	x	Rv2896c	MRA_2921
+1849	x	Rv2897c	MRA_2922
+3318	x	Rv2898c	MRA_2923
+2733	fdhD	Rv2899c	MRA_2924
+4204	fdhF	Rv2900c	MRA_2925
+4410	x	Rv2901c	MRA_2926
+3706	rnhB	Rv2902c	MRA_2927
+1294	lepB	Rv2903c	MRA_2928
+4041	rplS	Rv2904c	MRA_2929
+4716	lppW	Rv2905	MRA_2930
+4928	trmD	Rv2906c	MRA_2931
+6623	rimM	Rv2907c	MRA_2932
+4498	x	Rv2908c	MRA_2933
+5648	rpsP	Rv2909c	MRA_2934
+1218	x	Rv2910c	MRA_2935
+4765	dacB2	Rv2911	MRA_2936
+4636	x	Rv2912c	MRA_2937
+3313	x	Rv2913c	MRA_2938
+908	pknI	Rv2914c	MRA_2939
+255	x	Rv2915c	MRA_2940
+4260	ffh	Rv2916c	MRA_2941
+1147	x	Rv2917	MRA_2942
+2041	glnD	Rv2918c	MRA_2943
+2896	glnB	Rv2919c	MRA_2944
+5740	amt	Rv2920c	MRA_2945
+1956	ftsY	Rv2921c	MRA_2946
+1828	acyP	Rv2922A	MRA_2948
+2465	smc	Rv2922c	MRA_2947
+2870	x	Rv2923c	MRA_2949
+2081	fpg	Rv2924c	MRA_2950
+3809	rnc	Rv2925c	MRA_2952
+2254	x	Rv2926c	MRA_2953
+4093	x	Rv2927c	MRA_2954
+2466	tesA	Rv2928	MRA_2955
+5370	x	Rv2929	MRA_2955A
+1850	fadD26	Rv2930	MRA_2956
+273	ppsA	Rv2931	MRA_2957
+3746	ppsB	Rv2932	MRA_2958
+2141	ppsC	Rv2933	MRA_2959
+3917	ppsD	Rv2934	MRA_2960
+1933	ppsE	Rv2935	MRA_2961
+1139	drrA	Rv2936	MRA_2962
+532	drrB	Rv2937	MRA_2963
+433	drrC	Rv2938	MRA_2964
+5280	papA5	Rv2939	MRA_2965
+3537	mas	Rv2940c	MRA_2966
+957	fadD28	Rv2941	MRA_2967
+5844	mmpL7	Rv2942	MRA_2968
+6815	x	Rv2943	MRA_2969
+7368	x	Rv2943A	MRA_2970
+4233	x	Rv2944	MRA_2971
+3053	lppX	Rv2945c	MRA_2972
+1864	pks1	Rv2946c	MRA_2973
+4128	pks15	Rv2947c	MRA_2974
+1262	fadD22	Rv2948c	MRA_2975
+3209	x	Rv2949c	MRA_2976
+447	fadD29	Rv2950c	MRA_2977
+1396	x	Rv2951c	MRA_2978
+1131	x	Rv2952	MRA_2979
+2452	x	Rv2953	MRA_2980
+3870	x	Rv2954c	MRA_2981
+792	x	Rv2955c	MRA_2982
+2367	x	Rv2956	MRA_2983
+3953	x	Rv2957	MRA_2984
+2653	x	Rv2958c	MRA_2985
+3993	x	Rv2959c	MRA_2986
+4113	x	Rv2960c	MRA_2987
+5462	x	Rv2961	x
+2998	x	Rv2962c	MRA_2989
+763	x	Rv2963	MRA_2990
+3342	purU	Rv2964	MRA_2991
+5024	coaD	Rv2965c	MRA_2993
+2428	x	Rv2966c	MRA_2994
+956	pca	Rv2967c	MRA_2995
+746	x	Rv2968c	MRA_2996
+6918	x	Rv2969c	MRA_2997
+7383	x	Rv2970A	MRA_2998A
+3340	lipN	Rv2970c	MRA_2998
+1194	x	Rv2971	MRA_2999
+371	x	Rv2972c	MRA_3000
+4014	recG	Rv2973c	MRA_3001
+2781	x	Rv2974c	MRA_3002
+6174	x	Rv2975c	MRA_3003
+3022	ung	Rv2976c	MRA_3005
+5489	thiL	Rv2977c	MRA_3006
+1684	x	Rv2978c	x
+269	x	Rv2979c	MRA_3008
+2780	x	Rv2980	MRA_3009
+2695	ddl	Rv2981c	MRA_3010
+2290	gpsA	Rv2982c	MRA_3011
+3668	x	Rv2983	MRA_3012
+131	ppk	Rv2984	MRA_3013
+2849	mutT1	Rv2985	MRA_3014
+5047	hupB	Rv2986c	MRA_3015
+5797	leuD	Rv2987c	MRA_3016
+4514	leuC	Rv2988c	MRA_3017
+2659	x	Rv2989	MRA_3018
+1596	x	Rv2990c	MRA_3019
+1188	x	Rv2991	MRA_3020
+5099	gltX	Rv2992c	MRA_3021
+3721	x	Rv2993c	MRA_3022
+3069	x	Rv2994	MRA_3023
+1429	leuB	Rv2995c	MRA_3024
+1215	serA1	Rv2996c	MRA_3025
+738	x	Rv2997	MRA_3026
+216	x	Rv2998	MRA_3027
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+5593	x	Rv3000	MRA_3029
+1321	ilvC	Rv3001c	MRA_3031
+5065	ilvH	Rv3002c	MRA_3032
+278	ilvB1	Rv3003c	MRA_3033
+3131	cfp6	Rv3004	MRA_3034
+701	x	Rv3005c	MRA_3035
+1838	lppZ	Rv3006	MRA_3036
+2524	x	Rv3007c	MRA_3037
+1501	x	Rv3008	MRA_3038
+1116	gatB	Rv3009c	MRA_3039
+5886	pfkA	Rv3010c	MRA_3040
+1795	gatA	Rv3011c	MRA_3041
+3772	gatC	Rv3012c	MRA_3042
+144	x	Rv3013	MRA_3043
+3133	ligA	Rv3014c	MRA_3044
+4055	x	Rv3015c	MRA_3045
+2329	lpqA	Rv3016	MRA_3046
+2597	esxQ	Rv3017c	MRA_3047
+2144	PE27A	Rv3018A	MRA_3049
+1591	PPE46	Rv3018c	MRA_3048
+2073	esxR	Rv3019c	MRA_3050
+459	esxS	Rv3020c	MRA_3051
+5282	PPE47	Rv3021c	x
+182	PE29	Rv3022A	MRA_3053
+2246	mnmA	Rv3024c	MRA_3055
+1781	iscS	Rv3025c	MRA_3056
+4400	x	Rv3026c	MRA_3057
+3712	x	Rv3027c	MRA_3058
+2855	fixB	Rv3028c	MRA_3059
+4086	fixA	Rv3029c	MRA_3060
+2210	x	Rv3030	MRA_3061
+1050	x	Rv3031	MRA_3062
+1053	x	Rv3032	MRA_3063
+3054	x	Rv3033	MRA_3065
+801	x	Rv3034c	MRA_3066
+1214	x	Rv3035	MRA_3067
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+3176	x	Rv3037c	MRA_3069
+5411	x	Rv3038c	MRA_3070
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+4951	x	Rv3040c	MRA_3072
+4692	x	Rv3041c	MRA_3073
+3753	serB2	Rv3042c	MRA_3074
+498	ctaD	Rv3043c	MRA_3075
+514	fecB	Rv3044	MRA_3076
+150	adhC	Rv3045	MRA_3077
+4506	x	Rv3046c	MRA_3078
+6498	x	Rv3047c	MRA_3079
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+1646	x	Rv3049c	MRA_3081
+6787	x	Rv3050c	MRA_3082
+1728	nrdE	Rv3051c	MRA_3083
+3843	nrdI	Rv3052c	MRA_3084
+6152	nrdH	Rv3053c	MRA_3085
+5029	x	Rv3054c	MRA_3086
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+2107	x	Rv3057c	MRA_3089
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+1268	cyp136	Rv3059	MRA_3091
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+3958	ccrB	Rv3070	MRA_3103
+6318	x	Rv3071	MRA_3104
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+1374	birA	Rv3279c	MRA_3320
+3349	accD5	Rv3280	MRA_3321
+1056	x	Rv3281	MRA_3322
+1666	maf	Rv3282	MRA_3323
+4202	sseA	Rv3283	MRA_3324
+7033	x	Rv3284	MRA_3325
+1894	accA3	Rv3285	MRA_3326
+2418	sigF	Rv3286c	MRA_3327
+5034	rsbW	Rv3287c	MRA_3328
+2021	usfY	Rv3288c	MRA_3329
+5454	x	Rv3289c	MRA_3330
+1381	lat	Rv3290c	MRA_3331
+2516	lrp	Rv3291c	MRA_3332
+5189	x	Rv3292	MRA_3333
+1204	pcd	Rv3293	MRA_3334
+794	x	Rv3294c	MRA_3335
+6849	x	Rv3295	MRA_3336
+12	lhr	Rv3296	MRA_3337
+991	nei	Rv3297	MRA_3338
+1103	lpqC	Rv3298c	MRA_3339
+799	atsB	Rv3299c	MRA_3340
+485	x	Rv3300c	MRA_3341
+3103	phoY1	Rv3301c	MRA_3342
+3754	glpD2	Rv3302c	MRA_3343
+2920	lpdA	Rv3303c	MRA_3344
+633	x	Rv3304	MRA_3345
+4960	amiA1	Rv3305c	MRA_3346
+2993	amiB1	Rv3306c	MRA_3347
+1276	deoD	Rv3307	MRA_3348
+2158	pmmB	Rv3308	MRA_3349
+2508	upp	Rv3309c	MRA_3350
+3396	x	Rv3310	MRA_3351
+5251	x	Rv3311	MRA_3352
+2482	x	Rv3312A	MRA_3354
+3109	x	Rv3312c	MRA_3353
+4595	add	Rv3313c	MRA_3355
+186	deoA	Rv3314c	MRA_3356
+4759	cdd	Rv3315c	MRA_3357
+4833	sdhC	Rv3316	MRA_3358
+3536	sdhD	Rv3317	MRA_3359
+1891	sdhA	Rv3318	MRA_3360
+6343	sdhB	Rv3319	MRA_3361
+5275	x	Rv3320c	MRA_3362
+6488	x	Rv3321c	MRA_3363
+5422	x	Rv3322c	MRA_3364
+1615	moaX	Rv3323c	MRA_3365
+5277	moaC	Rv3324c	MRA_3366
+318	x	Rv3327	MRA_3369
+2309	sigJ	Rv3328c	MRA_3370
+4065	x	Rv3329	MRA_3371
+405	dacB1	Rv3330	MRA_3372
+2879	sugI	Rv3331	MRA_3373
+2053	nagA	Rv3332	MRA_3374
+2616	x	Rv3333c	MRA_3375
+5070	x	Rv3334	MRA_3376
+992	x	Rv3335c	MRA_3377
+3686	trpS	Rv3336c	MRA_3378
+2559	x	Rv3337	x
+1957	x	Rv3338	MRA_3379
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+1790	metC	Rv3340	MRA_3381
+1405	metX	Rv3341	MRA_3382
+5154	x	Rv3342	MRA_3383
+6970	PPE54	Rv3343c	x
+4100	PE_PGRS50	Rv3345c	MRA_3385
+3826	x	Rv3346c	MRA_3386
+298	PPE55	Rv3347c	MRA_3387
+22	x	Rv3349c	MRA_3389
+2872	PPE56	Rv3350c	MRA_3390
+403	x	Rv3351c	MRA_3392
+4797	x	Rv3352c	MRA_3393
+262	x	Rv3353c	MRA_3393A
+7009	x	Rv3354	MRA_3394
+4640	x	Rv3355c	MRA_3395
+2135	folD	Rv3356c	MRA_3396
+4828	x	Rv3357	MRA_3397
+1556	x	Rv3358	MRA_3398
+788	x	Rv3359	MRA_3399
+1763	x	Rv3360	MRA_3400
+7256	x	Rv3361c	MRA_3401
+7136	x	Rv3362c	MRA_3402
+1404	x	Rv3363c	MRA_3403
+5527	x	Rv3364c	MRA_3404
+1735	x	Rv3365c	MRA_3405
+55	spoU	Rv3366	MRA_3406
+1853	PE_PGRS51	Rv3367	MRA_3407
+4067	x	Rv3368c	MRA_3408
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+2783	x	Rv3371	MRA_3411
+922	otsB2	Rv3372	MRA_3412
+5921	echA18	Rv3373	MRA_3413
+21	echA18.1	Rv3374	MRA_3414
+3035	amiD	Rv3375	MRA_3415
+4062	x	Rv3376	MRA_3416
+4665	x	Rv3377c	MRA_3417
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+3567	lytB1	Rv3382c	MRA_3422
+45	idsB	Rv3383c	MRA_3423
+393	x	Rv3384c	MRA_3424
+3441	x	Rv3385c	MRA_3425
+2377	x	Rv3386	MRA_3426
+387	x	Rv3387	MRA_3427
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+2628	lpqD	Rv3390	MRA_3429
+3896	acrA1	Rv3391	MRA_3430
+2707	cmaA1	Rv3392c	MRA_3431
+2484	iunH	Rv3393	MRA_3432
+1941	x	Rv3394c	MRA_3433
+222	x	Rv3395A	MRA_3435
+682	x	Rv3395c	MRA_3434
+552	guaA	Rv3396c	MRA_3436
+6102	phyA	Rv3397c	MRA_3437
+4786	idsA1	Rv3398c	MRA_3438
+812	x	Rv3399	MRA_3439
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+6036	x	Rv3401	MRA_3441
+467	x	Rv3402c	MRA_3442
+1337	x	Rv3403c	MRA_3443
+4584	x	Rv3404c	MRA_3444
+3233	x	Rv3405c	MRA_3445
+4178	x	Rv3406	MRA_3446
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+5181	x	Rv3408	MRA_3448
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+3381	guaB3	Rv3410c	MRA_3450
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+2473	x	Rv3415c	MRA_3455
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+1046	groEL	Rv3417c	MRA_3457
+2049	groES	Rv3418c	MRA_3458
+6988	gcp	Rv3419c	MRA_3459
+2232	rimI	Rv3420c	MRA_3460
+1303	x	Rv3421c	MRA_3461
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+6481	PPE58	Rv3426	MRA_3466
+687	x	Rv3427c	MRA_3467
+1267	x	Rv3428c	MRA_3468
+26	PPE59	Rv3429	MRA_3469
+5678	x	Rv3430c	MRA_3470
+211	x	Rv3431c	MRA_3472
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+344	x	Rv3433c	MRA_3474
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+6953	x	Rv3438	MRA_3479
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+1628	rpsI	Rv3442c	MRA_3483
+108	rplM	Rv3443c	MRA_3484
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+1402	x	Rv3446c	MRA_3487
+256	x	Rv3447c	MRA_3488
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+404	x	Rv3450c	MRA_3491
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+16	x	Rv3479	MRA_3519
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+5888	x	Rv3488	MRA_3528
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+2167	leuA	Rv3710	MRA_3747
+2964	dnaQ	Rv3711c	MRA_3748
+192	x	Rv3712	MRA_3749
+407	cobQ2	Rv3713	MRA_3750
+75	x	Rv3714c	MRA_3751
+4524	recR	Rv3715c	MRA_3752
+1511	x	Rv3716c	MRA_3753
+998	x	Rv3717	MRA_3754
+3101	x	Rv3718c	MRA_3755
+161	x	Rv3719	MRA_3756
+715	cfa-2	Rv3720	MRA_3757
+1254	dnaZX	Rv3721c	MRA_3758
+516	x	Rv3722c	MRA_3759
+3481	x	Rv3723	MRA_3760
+6814	cut5a	Rv3724A	MRA_3761
+3525	cut5b	Rv3724B	MRA_3762
+951	x	Rv3725	MRA_3763
+6392	x	Rv3726	MRA_3764
+1936	x	Rv3727	MRA_3765
+769	x	Rv3728	MRA_3766
+2324	x	Rv3729	MRA_3767
+1363	x	Rv3730c	MRA_3768
+936	ligC	Rv3731	MRA_3769
+1372	x	Rv3732	MRA_3770
+4809	x	Rv3733c	MRA_3771
+3930	x	Rv3734c	MRA_3772
+4483	x	Rv3735	MRA_3773
+2268	x	Rv3736	MRA_3774
+2582	x	Rv3737	MRA_3775
+742	PPE66	Rv3738c	MRA_3776
+452	PPE67	Rv3739c	MRA_3777
+3075	x	Rv3740c	MRA_3778
+675	x	Rv3741c	MRA_3779
+2034	x	Rv3742c	MRA_3780
+2366	ctpJ	Rv3743c	MRA_3781
+3562	x	Rv3744	MRA_3782
+2545	x	Rv3745c	MRA_3783
+3259	PE34	Rv3746c	MRA_3784
+537	x	Rv3747	MRA_3785
+5758	x	Rv3748	MRA_3786
+2002	x	Rv3749c	MRA_3787
+3980	x	Rv3750c	MRA_3788
+4272	x	Rv3751	MRA_3789
+4650	x	Rv3752c	MRA_3790
+29	x	Rv3753c	MRA_3791
+3373	tyrA	Rv3754	MRA_3792
+4305	x	Rv3755c	MRA_3793
+4478	proZ	Rv3756c	MRA_3794
+2440	proW	Rv3757c	MRA_3795
+3009	proV	Rv3758c	MRA_3796
+497	proX	Rv3759c	MRA_3797
+3694	x	Rv3760	MRA_3798
+6892	fadE36	Rv3761c	MRA_3799
+469	x	Rv3762c	MRA_3800
+2215	lpqH	Rv3763	MRA_3801
+473	x	Rv3764c	MRA_3802
+3112	x	Rv3765c	MRA_3803
+666	x	Rv3766	MRA_3804
+7427	x	Rv3767c	MRA_3805
+5502	x	Rv3768	MRA_3806
+2319	x	Rv3769	MRA_3807
+6544	x	Rv3770A	MRA_3809
+3139	x	Rv3770B	MRA_3810
+1895	x	Rv3770c	MRA_3808
+4252	x	Rv3771c	MRA_3811
+5431	hisC2	Rv3772	MRA_3812
+1350	x	Rv3773c	MRA_3813
+3875	echA21	Rv3774	MRA_3814
+54	lipE	Rv3775	MRA_3815
+822	x	Rv3776	MRA_3816
+2679	x	Rv3777	MRA_3817
+7164	x	Rv3778c	MRA_3818
+2961	x	Rv3779	MRA_3819
+2179	x	Rv3780	MRA_3820
+3064	rfbE	Rv3781	MRA_3821
+1947	x	Rv3782	MRA_3822
+5691	rfbD	Rv3783	MRA_3823
+1723	x	Rv3784	MRA_3824
+4820	x	Rv3785	MRA_3825
+1003	x	Rv3786c	MRA_3826
+5969	x	Rv3787c	MRA_3827
+5609	x	Rv3788	MRA_3828
+2615	x	Rv3789	MRA_3829
+1565	x	Rv3790	MRA_3830
+4345	x	Rv3791	MRA_3831
+2861	x	Rv3792	MRA_3832
+896	embC	Rv3793	MRA_3833
+3205	embA	Rv3794	MRA_3834
+209	embB	Rv3795	MRA_3835
+448	x	Rv3796	MRA_3836
+3504	fadE35	Rv3797	MRA_3837
+2504	accD4	Rv3799c	MRA_3839
+1640	pks13	Rv3800c	MRA_3840
+73	fadD32	Rv3801c	MRA_3841
+3720	x	Rv3802c	MRA_3842
+813	fbpD	Rv3803c	MRA_3843
+848	fbpA	Rv3804c	MRA_3844
+2316	x	Rv3805c	MRA_3845
+2333	x	Rv3806c	MRA_3846
+660	x	Rv3807c	MRA_3847
+1176	glfT	Rv3808c	MRA_3848
+858	glf	Rv3809c	MRA_3849
+1412	pirG	Rv3810	MRA_3850
+2626	x	Rv3811	MRA_3851
+1238	PE_PGRS62	Rv3812	MRA_3852
+5077	x	Rv3813c	MRA_3853
+1049	x	Rv3814c	MRA_3854
+4874	x	Rv3815c	MRA_3855
+5576	x	Rv3816c	MRA_3856
+3598	aph	Rv3817	MRA_3857
+2358	x	Rv3818	MRA_3858
+2926	x	Rv3819	MRA_3859
+527	papA2	Rv3820c	MRA_3860
+2960	x	Rv3821	MRA_3861
+3036	x	Rv3822	MRA_3862
+1691	mmpL8	Rv3823c	MRA_3863
+1232	papA1	Rv3824c	MRA_3864
+694	pks2	Rv3825c	MRA_3865
+1617	fadD23	Rv3826	MRA_3866
+2569	x	Rv3827c	MRA_3867
+2590	x	Rv3828c	MRA_3868
+35	x	Rv3829c	MRA_3869
+67	x	Rv3830c	MRA_3870
+5007	x	Rv3831	MRA_3871
+2201	x	Rv3832c	MRA_3872
+5125	x	Rv3833	MRA_3873
+1526	serS	Rv3834c	MRA_3874
+358	x	Rv3835	MRA_3875
+2697	x	Rv3836	MRA_3876
+4865	x	Rv3837c	MRA_3877
+5260	pheA	Rv3838c	MRA_3878
+383	x	Rv3839	MRA_3879
+5105	x	Rv3840	MRA_3880
+2105	bfrB	Rv3841	MRA_3881
+932	glpQ1	Rv3842c	MRA_3882
+2149	x	Rv3843c	MRA_3883
+3330	x	Rv3844	MRA_3884
+1779	x	Rv3845	MRA_3885
+2314	sodA	Rv3846	MRA_3886
+3807	x	Rv3847	MRA_3887
+4547	x	Rv3848	MRA_3888
+5036	x	Rv3849	MRA_3889
+3549	x	Rv3850	MRA_3890
+1263	x	Rv3851	MRA_3891
+2610	hns	Rv3852	MRA_3892
+1354	menG	Rv3853	MRA_3893
+4924	ethA	Rv3854c	MRA_3894
+7374	ethR	Rv3855	MRA_3895
+3155	x	Rv3856c	MRA_3896
+6668	x	Rv3857c	MRA_3897
+3135	gltD	Rv3858c	MRA_3898
+50	gltB	Rv3859c	MRA_3899
+3629	x	Rv3860	MRA_3900
+7063	x	Rv3861	x
+3523	whiB6	Rv3862c	MRA_3901
+1903	x	Rv3863	MRA_3902
+105	x	Rv3864	MRA_3903
+5482	x	Rv3865	MRA_3904
+5562	x	Rv3866	MRA_3905
+1064	x	Rv3867	MRA_3906
+941	x	Rv3868	MRA_3907
+349	x	Rv3869	MRA_3908
+1164	x	Rv3870	MRA_3909
+1862	x	Rv3871	MRA_3910
+965	PE35	Rv3872	MRA_3911
+1270	PPE68	Rv3873	MRA_3912
+343	esxB	Rv3874	MRA_3913
+2871	esxA	Rv3875	MRA_3914
+928	x	Rv3876	MRA_3915
+1061	x	Rv3877	MRA_3916
+3253	x	Rv3878	MRA_3917
+882	x	Rv3879c	MRA_3918
+2988	x	Rv3880c	MRA_3919
+1428	x	Rv3881c	MRA_3920
+663	x	Rv3882c	MRA_3921
+190	mycP1	Rv3883c	MRA_3922
+673	x	Rv3884c	MRA_3923
+1872	x	Rv3885c	MRA_3924
+1257	mycP2	Rv3886c	MRA_3925
+374	x	Rv3887c	MRA_3926
+3726	x	Rv3888c	MRA_3927
+2261	x	Rv3889c	MRA_3928
+6425	esxC	Rv3890c	MRA_3929
+4796	esxD	Rv3891c	MRA_3930
+843	PPE69	Rv3892c	MRA_3931
+3150	PE36	Rv3893c	MRA_3932
+1683	x	Rv3894c	MRA_3933
+3996	x	Rv3895c	MRA_3934
+313	x	Rv3896c	MRA_3935
+5382	x	Rv3897c	MRA_3936
+5003	x	Rv3898c	MRA_3937
+1009	x	Rv3899c	MRA_3938
+874	x	Rv3900c	MRA_3939
+2551	x	Rv3901c	MRA_3940
+6290	x	Rv3902c	MRA_3941
+34	x	Rv3903c	MRA_3942
+693	esxE	Rv3904c	MRA_3943
+388	esxF	Rv3905c	MRA_3944
+6652	x	Rv3906c	MRA_3945
+5452	pcnA	Rv3907c	MRA_3946
+2332	x	Rv3908	MRA_3947
+1205	x	Rv3909	MRA_3948
+1739	x	Rv3910	MRA_3949
+620	sigM	Rv3911	MRA_3950
+2699	x	Rv3912	MRA_3951
+4317	trxB2	Rv3913	MRA_3952
+6740	trxC	Rv3914	MRA_3953
+876	x	Rv3915	MRA_3954
+4458	x	Rv3916c	MRA_3955
+2864	parB	Rv3917c	MRA_3956
+2094	parA	Rv3918c	MRA_3957
+2619	gidB	Rv3919c	MRA_3958
+4189	x	Rv3920c	MRA_3959
+193	x	Rv3921c	MRA_3960
+2321	x	Rv3922c	MRA_3961
+1424	rnpA	Rv3923c	MRA_3962
+5407	rpmH	Rv3924c	MRA_3963
+6077	x	x	MRA_0024
+5887	x	x	MRA_0082
+5555	nrp1	x	MRA_0105
+3280	x	x	MRA_0122
+4823	x	x	MRA_0286
+2342	PPE7	x	MRA_0363
+6991	x	x	MRA_0376
+6348	x	x	MRA_0403
+3501	x	x	MRA_0459
+4211	x	x	MRA_0589
+83	x	x	MRA_0618
+1897	galTb	x	MRA_0628
+7084	x	x	MRA_0648
+2887	x	x	MRA_0678
+2139	x	x	MRA_0745
+1441	x	x	MRA_0895
+5199	x	x	MRA_0925
+1547	x	x	MRA_0954
+2462	x	x	MRA_0967
+3088	x	x	MRA_1004
+2517	x	x	MRA_1049
+2335	x	x	MRA_1066
+1546	x	x	MRA_1102
+5398	x	x	MRA_1147
+880	x	x	MRA_1368
+4173	x	x	MRA_1376
+4463	x	x	MRA_1452
+284	PE_PGRS27	x	MRA_1459
+3563	x	x	MRA_1514
+2480	x	x	MRA_1685
+4801	x	x	MRA_1746
+2267	plcD	x	MRA_1766
+3416	x	x	MRA_1768A
+2419	x	x	MRA_1768B
+613	x	x	MRA_1768C
+3203	mmpL14	x	MRA_1768D
+1736	x	x	MRA_1772
+2854	x	x	MRA_1773
+2759	x	x	MRA_1779
+5	PPE31	x	MRA_1819
+4320	x	x	MRA_1906
+1953	x	x	MRA_1959
+5335	x	x	MRA_1972
+6550	x	x	MRA_1974
+3079	x	x	MRA_1994
+5526	x	x	MRA_1997
+2948	x	x	MRA_2002
+4749	x	x	MRA_2007
+6322	x	x	MRA_2077
+6857	x	x	MRA_2095
+465	x	x	MRA_2113
+5044	x	x	MRA_2119
+4668	x	x	MRA_2157
+1562	x	x	MRA_2206
+360	x	x	MRA_2242
+5197	x	x	MRA_2245
+5677	x	x	MRA_2246
+4536	x	x	MRA_2251
+6211	x	x	MRA_2257
+7089	x	x	MRA_2276
+6010	x	x	MRA_2326
+2461	x	x	MRA_2328
+3619	x	x	MRA_2372
+2397	x	x	MRA_2374
+402	x	x	MRA_2375
+5312	x	x	MRA_2410
+7122	x	x	MRA_2432
+2745	x	x	MRA_2454
+1712	x	x	MRA_2492
+4363	x	x	MRA_2516
+6241	x	x	MRA_2539
+1322	x	x	MRA_2577
+6071	x	x	MRA_2590
+2666	x	x	MRA_2662
+2898	x	x	MRA_2673
+244	x	x	MRA_2679
+235	x	x	MRA_2834
+3134	x	x	MRA_2853
+1913	x	x	MRA_2880
+1012	x	x	MRA_2881
+1688	x	x	MRA_2898
+5388	x	x	MRA_2904
+3915	x	x	MRA_2951
+7120	x	x	MRA_2988
+967	x	x	MRA_2992
+5170	rpmB	x	MRA_3004
+4471	x	x	MRA_3030
+372	PPE	x	MRA_3052
+890	x	x	MRA_3064
+3005	x	x	MRA_3096
+3666	x	x	MRA_3160
+2528	x	x	MRA_3169
+5811	x	x	MRA_3212
+4979	x	x	MRA_3223
+2852	x	x	MRA_3225
+7050	x	x	MRA_3240
+6862	x	x	MRA_3265
+7057	x	x	MRA_3384
+7051	x	x	MRA_3391
+662	x	x	MRA_3428
+6795	x	x	MRA_3428A
+1260	x	x	MRA_3471
+7344	x	x	MRA_3553
+524	x	x	MRA_3634
+4364	PE_PGRS59	x	MRA_3635
+5650	x	x	MRA_3687
+7293	x	x	MRA_3701
+3865	x	x	MRA_3733
diff --git a/other/inputmtu/ref_annotation.txt b/other/inputmtu/ref_annotation.txt
new file mode 100644
index 0000000..a4ef1e0
--- /dev/null
+++ b/other/inputmtu/ref_annotation.txt
@@ -0,0 +1,5127 @@
+2393	1524 + H37Rv	Rv0001	954:TTG 1491:GTG #*1524:TTG
+5274	3260 + H37Rv	Rv0002	#*1209:ATG
+376	4437 + H37Rv	Rv0003	987:TTG #*1158:GTG
+593	4997 + H37Rv	Rv0004	501:TTG 516:ATG #*564:ATG
+384	7267 + H37Rv	Rv0005	2028:GTG 2061:ATG 2091:GTG 2094:GTG #*2145:ATG
+1132	9818 + H37Rv	Rv0006	#*2517:ATG
+#4133	10160 + H37Rv	x	#198:ATG
+2077	10828 + H37Rv	Rv0007	639:GTG #*915:GTG 930:GTG
+#4684	11121 + H37Rv	x	123:TTG #135:GTG
+6391	11416 + H37Rv	x	123:GTG #192:TTG
+#6321	11421 - H37Rv	x	#108:ATG
+#5307	11555 - H37Rv	x	#138:GTG
+3585	11874 - H37Rv	Rv0008c	426:GTG #*438:ATG
+4268	13016 + H37Rv	Rv0009	531:GTG #*549:ATG 570:GTG
+3249	13024 - H37Rv	x	#153:ATG
+1472	13133 - H37Rv	Rv0010c	315:GTG 345:GTG 363:GTG #*426:ATG 450:GTG
+4320	13714 - H37Rv	Rv0011c	#*282:ATG 285:GTG
+#5140	14092 + H37Rv	x	156:GTG #210:ATG
+831	14877 + H37Rv	Rv0012	699:GTG 744:ATG #*789:ATG
+2823	15590 - H37Rv	Rv0014c	1686:TTG 1818:ATG #*1881:ATG 1983:TTG
+758	15612 + H37Rv	Rv0013	#*699:ATG
+1255	17467 - H37Rv	Rv0015c	1278:GTG #*1296:ATG
+4557	18759 - H37Rv	Rv0016c	1230:GTG 1449:GTG #*1476:ATG
+1175	20231 - H37Rv	Rv0017c	1386:GTG #*1410:ATG
+2933	21637 - H37Rv	Rv0018c	1536:GTG #*1545:GTG
+2937	23270 - H37Rv	Rv0019c	276:GTG #*468:ATG
+1644	23861 - H37Rv	Rv0020c	#*1584:ATG
+#7296	25018 + H37Rv	x	315:TTG #405:TTG
+#4575	25201 + H37Rv	x	#153:GTG 183:TTG
+#5474	25543 + H37Rv	x	#306:GTG
+1847	25913 - H37Rv	Rv0021c	942:ATG 966:GTG #*969:GTG
+5196	27023 - H37Rv	Rv0022c	#*420:ATG
+#1547	27301 + H37Rv	x	#309:TTG
+511	28365 + H37Rv	Rv0023	675:ATG #*771:GTG
+4398	29207 + H37Rv	Rv0024	#*846:GTG
+3432	29272 + H37Rv	x	#924:ATG
+#6611	29353 - H37Rv	x	#186:GTG
+2345	29607 + H37Rv	Rv0025	#*363:ATG
+1881	31068 + H37Rv	Rv0026	1329:ATG #*1347:GTG
+5875	31506 + H37Rv	Rv0027	#*318:ATG
+4847	31819 + H37Rv	Rv0028	228:ATG #*306:ATG
+5577	31824 - H37Rv	x	#144:ATG
+1358	33154 + H37Rv	Rv0029	720:ATG 876:ATG #*1098:GTG
+1256	33553 + H37Rv	Rv0030	#*330:ATG
+#4700	33794 + H37Rv	Rv0031	#*213:TTG
+4926	33900 - H37Rv	x	#258:TTG
+277	36610 + H37Rv	Rv0032	1419:ATG 1947:GTG 2013:GTG 2067:GTG 2304:TTG #*2316:ATG 2415:GTG
+3645	36870 + H37Rv	Rv0033	#*264:ATG
+4413	37262 + H37Rv	Rv0034	#*396:ATG
+2437	38947 + H37Rv	Rv0035	#*1689:ATG
+2151	39056 - H37Rv	Rv0036c	#*774:ATG 780:GTG
+2757	39877 - H37Rv	Rv0037c	1287:ATG 1302:GTG 1317:GTG #*1326:GTG
+470	41912 + H37Rv	Rv0038	606:GTG #*609:GTG 633:ATG
+4891	42004 - H37Rv	Rv0039c	330:CTG #*348:ATG
+246	42433 - H37Rv	Rv0040c	654:CTG 663:GTG 774:GTG #*933:ATG
+712	46471 + H37Rv	Rv0041	2877:GTG #*2910:GTG
+3660	46581 - H37Rv	Rv0042c	504:ATG #*627:ATG
+#3277	47274 + H37Rv	x	#135:TTG
+2566	47366 - H37Rv	Rv0043c	#*735:ATG
+1832	48233 - H37Rv	Rv0044c	678:GTG 783:GTG #*795:ATG
+274	49043 - H37Rv	Rv0045c	#*897:GTG
+#6494	49936 + H37Rv	x	#186:ATG
+3943	50021 - H37Rv	Rv0046c	#*1104:ATG
+5030	51185 - H37Rv	Rv0047c	#*543:ATG
+1872	51828 - H37Rv	Rv0048c	642:ATG #*870:GTG
+5045	53244 + H37Rv	Rv0049	#*414:GTG 435:GTG
+#7437	55522 - H37Rv	x	#324:GTG
+1139	55699 + H37Rv	Rv0050	#*2037:GTG 2346:GTG 2463:GTG
+1810	57378 + H37Rv	Rv0051	1638:TTG #*1683:GTG
+1680	57973 + H37Rv	Rv0052	501:ATG #*564:GTG 639:ATG
+3760	58482 + H37Rv	Rv0053	273:ATG #*291:ATG
+2243	59080 + H37Rv	Rv0054	297:GTG #*495:GTG
+4841	59376 + H37Rv	Rv0055	#*255:ATG
+3196	59867 + H37Rv	Rv0056	#*459:ATG
+#5075	59985 - H37Rv	x	#123:GTG
+1610	60417 + H37Rv	Rv0057	#*522:ATG 528:TTG
+216	63020 + H37Rv	Rv0058	2595:ATG #*2625:ATG
+2249	63892 + H37Rv	Rv0059	#*693:ATG
+2406	64967 + H37Rv	Rv0060	#*1059:ATG
+#1544	65012 - H37Rv	x	282:GTG 339:ATG #381:TTG
+2431	65400 - H37Rv	x	#213:GTG 288:ATG
+7218	65416 + H37Rv	Rv0061	#*426:ATG
+296	66694 + H37Rv	Rv0062	900:TTG 924:GTG 969:CTG 1014:ATG 1053:TTG #*1143:ATG
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+5204	798372 + H37Rv	Rv0697	#*1440:GTG 1515:ATG
+6131	798565 + H37Rv	x	#204:TTG
+#6613	798771 - H37Rv	x	279:CTG #321:TTG
+#3352	798797 + H37Rv	x	#99:GTG
+423	799160 - H37Rv	x	369:GTG 459:ATG 594:ATG #648:TTG
+6881	799444 + H37Rv	Rv0698	#*612:TTG
+#5997	799850 + H37Rv	Rv0699	#*222:ATG
+3313	800104 - H37Rv	x	#231:GTG 291:TTG
+#6536	800779 - H37Rv	x	#465:GTG
+4233	800792 + H37Rv	Rv0700	#*306:GTG
+4282	801462 + H37Rv	Rv0701	#*654:ATG 666:TTG
+5764	802133 + H37Rv	Rv0702	#*672:ATG
+3371	802435 + H37Rv	Rv0703	#*303:ATG
+4537	803370 + H37Rv	Rv0704	#*843:ATG
+5077	803692 + H37Rv	Rv0705	#*282:ATG
+4477	804282 + H37Rv	Rv0706	507:GTG #*594:ATG
+3268	805106 + H37Rv	Rv0707	459:TTG 720:GTG #*825:GTG
+1599	805526 + H37Rv	Rv0708	#*417:ATG
+3180	805759 + H37Rv	Rv0709	171:TTG #*234:ATG
+2435	806166 + H37Rv	Rv0710	369:GTG 408:ATG #*411:GTG
+1315	808698 + H37Rv	Rv0711	1983:GTG 2274:GTG #*2364:ATG
+5716	809645 + H37Rv	Rv0712	#*900:GTG
+#2182	809870 + H37Rv	x	#150:ATG
+3757	810887 + H37Rv	Rv0713	840:GTG #*942:ATG
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+#6428	811082 - H37Rv	x	#69:ATG
+#5701	811186 + H37Rv	x	#132:TTG
+4136	811741 + H37Rv	Rv0714	#*369:GTG
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+3133	812622 + H37Rv	Rv0716	#*564:ATG
+44	812812 + H37Rv	Rv0717	#*186:ATG
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+4480	813374 + H37Rv	Rv0718	393:ATG #*399:ATG
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+3926	814990 + H37Rv	Rv0721	#*663:ATG
+3611	815190 + H37Rv	Rv0722	#*198:ATG
+4909	815630 + H37Rv	Rv0723	309:GTG #*441:GTG
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+1060	823683 - H37Rv	Rv0731c	#*957:ATG
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+784	832303 + H37Rv	Rv0740	363:ATG #*528:ATG 609:GTG
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+3638	833508 + H37Rv	Rv0742	477:TTG #519:GTG *528:ATA
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+4933	838371 + H37Rv	x	#243:ATG
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+784	842278 + H37Rv	Rv0750	186:CTG 234:GTG #*246:GTG 270:GTG
+4051	842347 - H37Rv	Rv0751c	#*885:ATG
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+5773	850342 - H37Rv	Rv0755A	171:GTG #*186:ATG 216:TTG
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+4894	854267 - H37Rv	Rv0760c	#*420:ATG
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+981	865854 + H37Rv	Rv0772	#*1269:GTG
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+787	872675 + H37Rv	Rv0778	#*1245:ATG 1263:GTG
+4342	874236 + H37Rv	Rv0780	#*894:ATG
+5437	874943 + H37Rv	Rv0781	708:ATG #*711:ATG
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+4329	883434 + H37Rv	Rv0788	435:ATG #*675:GTG
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+3709	891472 - H37Rv	Rv0798c	#*798:ATG
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+4725	894972 - H37Rv	Rv0802c	#*657:ATG
+1714	894978 + H37Rv	Rv0801	330:ATG #*348:ATG
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+6906	899787 + H37Rv	Rv0805	#*957:GTG
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+867	907292 + H37Rv	Rv0812	699:ATG 867:GTG #*870:GTG 888:ATG
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+1167	908485 - H37Rv	Rv0815c	#*834:ATG 876:TTG
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+2746	922894 - H37Rv	Rv0831c	#*816:ATG 918:GTG
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+2854	931578 - H37Rv	x	357:GTG 414:GTG #552:ATG
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+1045	1000767 + H37Rv	Rv0896	#*1296:GTG
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+4646	1005852 - H37Rv	Rv0903c	702:ATG #*711:ATG
+771	1006693 - H37Rv	Rv0904c	#*1488:GTG
+1433	1008938 + H37Rv	Rv0905	705:GTG #*732:ATG
+259	1010062 + H37Rv	Rv0906	1116:GTG #*1119:ATG
+2904	1011734 + H37Rv	Rv0907	#1422:GTG *1599:TTG
+1497	1014124 + H37Rv	Rv0908	2202:TTG #*2394:ATG
+1727	1014555 + H37Rv	x	156:GTG #159:GTG 162:TTG
+5611	1014860 + H37Rv	Rv0909	#*180:ATG
+4888	1015300 + H37Rv	Rv0910	#*435:ATG
+3380	1016171 + H37Rv	Rv0911	726:TTG #*774:GTG
+5308	1016685 + H37Rv	Rv0912	270:TTG #420:GTG *450:ATG 474:ATG 495:GTG
+5262	1016820 - H37Rv	x	231:GTG 243:TTG 396:TTG #408:TTG
+5084	1017217 - H37Rv	Rv0913c	#*1509:ATG
+901	1018727 - H37Rv	Rv0914c	#*1239:ATG
+4663	1020058 - H37Rv	Rv0915c	1230:ATG #*1272:ATG 1281:TTG
+4547	1021344 - H37Rv	Rv0916c	162:GTG 291:GTG #*300:ATG
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+4158	1023868 + H37Rv	Rv0917	#*1782:ATG
+4151	1024122 + H37Rv	x	255:ATG #258:ATG
+353	1024687 + H37Rv	Rv0918	288:ATG #*477:TTG 537:TTG
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+3256	1025184 + H37Rv	Rv0919	#*501:GTG
+2191	1025497 - H37Rv	Rv0920c	1275:GTG 1305:GTG #*1320:ATG
+3529	1027685 + H37Rv	Rv0921	501:GTG 549:GTG #*582:GTG
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+3221	1030578 - H37Rv	Rv0924c	789:TTG 1227:TTG #*1287:GTG 1290:TTG
+1003	1031896 - H37Rv	Rv0925c	#*738:ATG
+4496	1032710 - H37Rv	Rv0926c	#*1077:ATG
+1504	1033840 - H37Rv	Rv0927c	#*792:ATG
+1437	1036015 + H37Rv	Rv0928	#*1113:TTG 1170:GTG
+3659	1037002 + H37Rv	Rv0929	#*975:GTG
+3003	1037920 - H37Rv	Rv0931c	#*1995:GTG
+5017	1037925 + H37Rv	Rv0930	915:ATG #*927:GTG
+3619	1039936 - H37Rv	Rv0932c	#*1113:GTG
+1312	1042094 + H37Rv	Rv0933	642:TTG 708:ATG 759:GTG 768:ATG #*831:ATG
+1503	1043239 + H37Rv	Rv0934	975:GTG #*1125:GTG
+5019	1044315 + H37Rv	Rv0935	966:TTG #*1017:ATG
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+1061	1045222 + H37Rv	Rv0936	531:GTG #*906:ATG
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+4324	1051544 - H37Rv	Rv0941c	765:GTG #*774:GTG
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+6717	1052638 + H37Rv	Rv0942	#*279:TTG
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+2678	1055008 + H37Rv	Rv0945	750:GTG #*762:ATG
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+4518	1057300 - H37Rv	x	#231:ATG 330:CTG
+4019	1057641 + H37Rv	x	#195:ATG 225:ATG
+3815	1057646 - H37Rv	Rv0948c	#*318:ATG 654:ATG
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+43	1064051 + H37Rv	Rv0952	903:ATG #*912:ATG
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+2418	1068208 + H37Rv	Rv0956	513:GTG 576:TTG #*648:GTG
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+3877	1073548 + H37Rv	x	#222:ATG
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+1609	1074421 + H37Rv	Rv0961	279:GTG 327:ATG 342:GTG #*348:GTG
+4910	1074440 - H37Rv	Rv0962c	#*675:ATG
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+1178	1076778 - H37Rv	Rv0965c	333:TTG 360:GTG #*420:ATG 441:GTG
+2423	1077233 - H37Rv	Rv0966c	#*603:ATG 660:TTG 693:GTG
+2560	1078334 + H37Rv	Rv0967	348:TTG #*360:ATG
+5126	1078687 + H37Rv	Rv0968	#*297:ATG 357:GTG
+#7450	1078841 - H37Rv	x	#186:ATG
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+5192	1081684 + H37Rv	Rv0970	#*633:ATG
+5806	1081775 - H37Rv	Rv0971c	#*810:ATG
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+514	1085756 - H37Rv	Rv0974c	825:GTG *1590:GTG #1596:GTG
+2658	1087348 - H37Rv	Rv0975c	#*1149:GTG
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+385	1088493 - H37Rv	Rv0976c	1635:ATG #*1683:GTG
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+2301	1093144 + H37Rv	Rv0977	#*2772:ATG 2802:GTG
+289	1093361 - H37Rv	Rv0978c	#*996:ATG 1041:GTG
+1769	1093368 + H37Rv	x	#207:GTG
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+#1538	1094743 + H37Rv	x	#114:ATG
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+116	1095078 - H37Rv	Rv0980c	#*1374:ATG 1419:GTG
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+1250	1101005 + H37Rv	Rv0984	498:ATG #*546:ATG 549:GTG
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+4652	1102549 + H37Rv	Rv0986	714:TTG #*747:ATG
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+2451	1107443 - H37Rv	Rv0990c	#*657:GTG
+4443	1108172 - H37Rv	Rv0991c	#*333:GTG 354:GTG
+1899	1108578 - H37Rv	Rv0992c	588:ATG #*594:ATG 672:GTG 726:GTG
+865	1110192 + H37Rv	Rv0993	#*921:ATG
+1397	1111549 + H37Rv	Rv0994	951:GTG 1272:GTG #*1281:GTG
+1043	1112223 + H37Rv	Rv0995	#*612:ATG 654:GTG
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+7455	1113864 + H37Rv	x	#231:GTG
+5378	1114112 + H37Rv	x	#252:ATG
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+2333	1118393 + H37Rv	Rv1001	#*1209:GTG
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+#7217	1120358 - H37Rv	x	#351:GTG
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+2550	1122222 - H37Rv	Rv1005c	966:GTG 1065:GTG #1287:GTG *1377:TTG 1653:TTG
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+1095	1127883 + H37Rv	Rv1008	504:ATG #*795:TTG 855:GTG 861:GTG
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+398	1131111 + H37Rv	Rv1011	687:ATG #*921:GTG 957:GTG
+6753	1131381 - H37Rv	x	#300:ATG
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+6013	1133921 - H37Rv	Rv1015c	#*648:ATG
+2196	1134785 - H37Rv	Rv1016c	366:ATG 399:ATG 516:GTG 642:TTG 651:GTG #*681:TTG
+#6256	1135432 - H37Rv	x	#69:ATG
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+939	1135501 - H37Rv	Rv1017c	#*981:TTG
+3789	1136573 - H37Rv	Rv1018c	#*1488:ATG 1542:TTG
+4745	1138303 + H37Rv	x	#156:TTG
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+1041	1143648 + H37Rv	Rv1021	885:ATG #*978:ATG 981:GTG
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+4199	1146544 + H37Rv	Rv1024	#*687:ATG 804:GTG
+3049	1147028 + H37Rv	Rv1025	387:GTG *468:GTG #492:GTG
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+6225	1147980 - H37Rv	x	#177:ATG
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+1079	1148430 + H37Rv	x	#213:GTG
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+6577	1152012 + H37Rv	Rv1028A	#*93:ATG 99:ATG
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+145	1156422 + H37Rv	Rv1031	540:ATG #*570:ATG
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+4688	1157963 - H37Rv	Rv1033c	765:ATG #*774:ATG 831:ATG
+3450	1158918 - H37Rv	Rv1034c	#*390:GTG 492:ATG 495:GTG
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+1637	1161297 - H37Rv	Rv1039c	1134:ATG #*1176:ATG
+3851	1162549 - H37Rv	Rv1040c	756:ATG 810:GTG #*828:ATG
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+731	1164164 - H37Rv	x	162:TTG #240:TTG 273:GTG 309:TTG
+7404	1164185 + H37Rv	x	#249:GTG
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+5906	1176112 + H37Rv	Rv1052	252:ATG #*390:ATG
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+3304	1183455 + H37Rv	Rv1059	#1059:ATG *1065:GTG 1089:TTG 1107:GTG
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+64	1198082 + H37Rv	Rv1073	#*852:ATG 861:ATG
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+3010	1219248 - H37Rv	Rv1092c	873:ATG #*939:ATG 1146:GTG
+1293	1221854 + H37Rv	Rv1093	1197:ATG #*1281:ATG 1317:GTG
+#7477	1221896 - H37Rv	x	#330:GTG
+2684	1222786 + H37Rv	Rv1094	474:GTG #*828:ATG 852:GTG
+1572	1224298 + H37Rv	Rv1095	#*1302:GTG
+2930	1225260 + H37Rv	Rv1096	819:GTG #*876:GTG
+1745	1225263 - H37Rv	Rv1097c	660:GTG #*882:ATG
+#7646	1225992 + H37Rv	x	#420:ATG
+4243	1226141 - H37Rv	Rv1098c	#*1425:ATG
+2128	1227596 - H37Rv	Rv1099c	#*987:ATG 1053:GTG 1089:ATG 1248:ATG
+2304:1	1229384 + H37Rv	Rv1100	552:GTG 600:TTG 645:GTG 672:GTG #*702:ATG 762:GTG 837:ATG
+2794	1229391 - H37Rv	Rv1101c	1029:TTG 1053:GTG 1107:TTG #*1158:TTG
+4868	1230660 - H37Rv	Rv1102c	#*312:ATG 315:CTG
+3314	1230971 - H37Rv	Rv1103c	213:TTG 237:GTG #*321:ATG
+224	1231990 + H37Rv	Rv1104	672:GTG #*690:ATG
+5860	1232462 + H37Rv	x	#399:GTG
+622	1232826 + H37Rv	Rv1105	351:GTG 378:GTG 387:ATG 411:ATG #*516:ATG
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+3412	1233966 - H37Rv	Rv1107c	156:GTG 210:GTG #*258:ATG 273:GTG
+2297	1234213 - H37Rv	Rv1108c	1158:GTG #*1248:GTG
+2612	1235457 - H37Rv	Rv1109c	#*639:ATG
+2978	1237192 + H37Rv	Rv1110	990:ATG #*1008:ATG 1035:GTG
+172	1237209 - H37Rv	Rv1111c	915:GTG #*984:GTG 1098:GTG
+2696	1239328 + H37Rv	Rv1112	1053:GTG 1068:TTG #*1074:GTG
+1849	1239613 + H37Rv	Rv1113	186:GTG #*198:ATG
+1995	1239984 + H37Rv	Rv1114	#*375:GTG
+1889	1240885 + H37Rv	Rv1115	462:TTG 642:ATG #*699:GTG
+245	1241115 - H37Rv	Rv1116A	#*276:ATG
+6610	1241188 + H37Rv	Rv1116	#*186:ATG 234:TTG
+4259	1241956 + H37Rv	Rv1117	#*324:ATG
+360	1241971 - H37Rv	Rv1118c	711:ATG #*861:GTG
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+4466	1242864 - H37Rv	Rv1119c	#*150:ATG 201:ATG
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+1887	1243010 - H37Rv	Rv1120c	#*495:ATG
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+3143	1246144 - H37Rv	Rv1123c	747:TTG 867:GTG #*909:ATG 936:TTG
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+#6652	1246731 + H37Rv	x	#312:GTG
+#5870	1247089 + H37Rv	x	#240:GTG
+3944	1248077 + H37Rv	Rv1124	882:GTG 906:ATG #*951:ATG
+1865	1249326 + H37Rv	Rv1125	1230:ATG #*1245:GTG
+5756	1249330 - H37Rv	Rv1126c	579:GTG #*606:ATG
+1886	1249932 - H37Rv	Rv1127c	1416:GTG #*1473:ATG 1479:GTG
+#5837	1251614 + H37Rv	x	#120:TTG
+584	1251617 - H37Rv	Rv1128c	#*1356:ATG
+2118	1253074 - H37Rv	Rv1129c	1362:GTG 1437:GTG #*1461:ATG
+3181	1256135 + H37Rv	Rv1130	1500:ATG 1506:ATG 1518:ATG #*1581:GTG
+1690	1257313 + H37Rv	Rv1131	#*1182:ATG
+#7366	1257591 - H37Rv	x	#111:ATG
+#6844	1257954 - H37Rv	x	#339:ATG
+#7510	1258302 - H37Rv	x	#216:ATG
+#6411	1258524 - H37Rv	x	#90:ATG
+#6608	1258714 - H37Rv	x	#210:ATG
+2727	1259055 + H37Rv	Rv1132	1629:GTG #*1731:ATG 1782:TTG
+3925	1259067 - H37Rv	Rv1133c	#*2280:GTG 2310:GTG 2385:ATG
+#7289	1261251 + H37Rv	x	#114:GTG
+#4076	1261722 - H37Rv	x	#120:ATG
+3863	1262158 + H37Rv	Rv1134	#*237:ATG
+670	1262272 - H37Rv	Rv1135c	1572:GTG #*1857:ATG 1860:GTG 1911:GTG
+4790	1264556 + H37Rv	Rv1135A	#*243:ATG
+4830	1264947 + H37Rv	Rv1136	#*342:ATG
+#6345	1265087 - H37Rv	Rv1137c	#*369:GTG
+4743	1265438 + H37Rv	x	342:GTG #405:GTG
+1035	1265472 - H37Rv	Rv1138c	#*1017:ATG
+2186	1266485 - H37Rv	Rv1139c	375:ATG #*501:GTG
+6279	1266990 - H37Rv	x	#450:ATG
+627	1268195 + H37Rv	Rv1140	723:ATG #*849:ATG
+1220	1268203 - H37Rv	Rv1141c	#*807:ATG 816:ATG 1089:ATG
+2775	1269152 - H37Rv	Rv1142c	#*807:ATG
+3424	1271144 + H37Rv	Rv1143	#*1083:ATG 1188:ATG
+1036	1271908 + H37Rv	Rv1144	#*753:ATG
+3581	1272036 - H37Rv	x	132:ATG #156:ATG
+#6173	1272234 - H37Rv	x	#81:ATG
+#6539	1272351 - H37Rv	x	#204:TTG
+#6539	1272365 - H37Rv	x	#237:TTG
+5080	1273334 + H37Rv	Rv1145	#*912:ATG 1086:GTG
+1116	1274767 + H37Rv	Rv1146	*1413:GTG 1470:ATG 1482:GTG 1500:TTG #1503:GTG
+1895	1275550 + H37Rv	Rv1147	#*651:ATG
+#2179	1275677 - H37Rv	x	258:ATG #321:ATG
+305	1275974 + H37Rv	x	255:GTG #333:GTG
+1551	1276028 - H37Rv	x	#276:TTG 303:GTG
+923:1	1276300 - H37Rv	Rv1148c	837:ATG 888:CTG 945:TTG 1026:TTG 1038:CTG 1053:CTG 1365:ATG 1410:ATG #*1449:GTG 1500:GTG
+1466	1278300 + H37Rv	Rv1149	399:GTG #*408:GTG
+1997	1278820 + H37Rv	x	438:GTG 462:CTG 549:CTG #864:ATG
+4660	1278904 - H37Rv	Rv1151c	708:GTG #*714:ATG 864:GTG
+987	1279998 - H37Rv	Rv1153c	#*849:GTG
+761	1280020 + H37Rv	Rv1152	318:TTG #*366:GTG
+2144	1280843 - H37Rv	Rv1154c	588:ATG #*642:ATG 660:ATG
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+5767	1282218 + H37Rv	x	#189:ATG
+3972	1282893 + H37Rv	Rv1156	#*588:GTG
+4667	1283036 + H37Rv	x	#147:GTG
+1628	1283056 - H37Rv	Rv1157c	1044:TTG 1056:GTG 1074:GTG #*1116:GTG
+#5705	1284010 + H37Rv	x	#189:TTG
+4294:1	1284179 - H37Rv	Rv1158c	#*684:ATG
+3423	1286284 - H37Rv	Rv1159A	279:GTG #*285:ATG 306:GTG
+2580	1286287 + H37Rv	Rv1159	1164:GTG 1200:GTG #*1296:ATG 1299:GTG
+3162	1287020 + H37Rv	Rv1160	#*426:ATG 489:GTG
+3618	1291026 + H37Rv	Rv1161	3570:GTG #*3699:GTG
+1605	1292741 + H37Rv	Rv1162	1668:ATG #*1677:ATG
+3113	1293403 + H37Rv	Rv1163	#*606:GTG 621:ATG 666:ATG
+4761	1294146 + H37Rv	Rv1164	726:TTG 732:TTG #*741:TTG
+3182	1296054 + H37Rv	Rv1165	#*1887:GTG
+1916	1298059 + H37Rv	Rv1166	1740:ATG #*1908:ATG 1929:GTG 2001:TTG
+5111	1298087 - H37Rv	Rv1167c	#*606:ATG
+4014	1298764 - H37Rv	Rv1168c	#*1041:ATG
+2731	1299822 - H37Rv	Rv1169c	#*303:GTG 321:GTG
+1314	1301215 + H37Rv	Rv1170	#*912:ATG
+#5520	1301355 + H37Rv	x	#108:ATG
+3069	1301747 + H37Rv	Rv1171	327:GTG 363:TTG #*441:GTG 468:TTG
+2999	1301755 - H37Rv	Rv1172c	633:ATG #*927:ATG
+2979	1305501 + H37Rv	Rv1173	2304:GTG 2496:TTG #*2571:GTG 2700:GTG 2703:TTG
+2373	1305669 - H37Rv	Rv1174c	243:GTG #*333:ATG
+1890	1306202 - H37Rv	Rv1175c	#*2025:ATG
+1848	1308223 - H37Rv	Rv1176c	#*570:ATG 744:GTG
+2586	1309331 + H37Rv	Rv1177	#*327:GTG 381:GTG
+20	1310452 + H37Rv	Rv1178	#*1089:GTG
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+5761	1315191 + H37Rv	Rv1180	#*1467:GTG
+169	1319982 + H37Rv	Rv1181	4518:GTG #*4749:GTG
+2287	1321453 + H37Rv	Rv1182	#*1419:ATG
+2754	1324528 + H37Rv	Rv1183	#*3009:GTG
+3191	1324532 - H37Rv	Rv1184c	900:ATG 951:GTG #*1080:ATG 1116:ATG
+3933	1325776 - H37Rv	Rv1185c	#*1737:ATG
+3280	1327689 - H37Rv	Rv1186c	1374:GTG #*1617:ATG
+3711	1331021 + H37Rv	Rv1187	1479:ATG #*1632:ATG 1644:ATG
+4550	1332010 + H37Rv	Rv1188	#*990:ATG
+3732	1332964 + H37Rv	Rv1189	783:GTG #*873:ATG
+1260	1333858 + H37Rv	Rv1190	873:ATG #*879:ATG
+1219	1334845 + H37Rv	Rv1191	669:TTG #*915:ATG 957:TTG
+1449	1335754 + H37Rv	Rv1192	534:ATG 726:TTG 816:GTG #*828:ATG
+1248	1337215 + H37Rv	Rv1193	#*1422:GTG
+2760	1337248 - H37Rv	Rv1194c	#*1266:GTG
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+37	1339302 + H37Rv	Rv1195	273:ATG 288:ATG #*300:GTG 306:GTG 330:GTG 336:GTG 348:CTG
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+4670	1346321 - H37Rv	Rv1203c	582:TTG #*585:GTG
+5159	1346324 + H37Rv	Rv1202	#*1065:GTG
+3289	1346936 - H37Rv	Rv1204c	1671:GTG #*1689:ATG
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+3258	1349282 + H37Rv	Rv1205	528:GTG #*564:ATG
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+4794	1352147 + H37Rv	Rv1207	825:ATG #*957:GTG
+3624	1353118 + H37Rv	Rv1208	#*975:ATG
+3236	1353525 + H37Rv	Rv1209	360:GTG 363:TTG #*369:GTG
+2879	1354136 + H37Rv	Rv1210	360:GTG #*615:GTG
+2154	1354470 + H37Rv	Rv1211	159:ATG 168:ATG #*228:ATG 273:TTG
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+5392	1357293 - H37Rv	Rv1214c	#*333:GTG 474:CTG
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+#7408	1359429 + H37Rv	x	#222:ATG
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+1458	1365186 + H37Rv	Rv1221	633:ATG #*774:ATG
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+4717	1376230 - H37Rv	Rv1233c	381:ATG #*597:ATG 606:TTG
+2349	1377503 + H37Rv	Rv1234	#*528:ATG
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+4513	1384202 + H37Rv	Rv1240	#*990:GTG
+3451	1384538 + H37Rv	Rv1241	#*261:ATG 270:ATG 273:ATG 297:TTG
+3240	1384966 + H37Rv	Rv1242	#*432:GTG
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+#5920	1384997 - H37Rv	x	546:GTG #585:GTG
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+1613	1387717 + H37Rv	Rv1244	729:ATG #*861:GTG 936:GTG
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+5089	1388685 - H37Rv	Rv1246c	270:GTG #*294:GTG
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+5500	1402809 + H37Rv	Rv1254	#*1152:ATG
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+4	1406081 - H37Rv	Rv1258c	#*1260:ATG
+3676	1408238 + H37Rv	Rv1259	807:ATG 828:ATG #*900:ATG
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+78	1413940 + H37Rv	Rv1265	555:ATG 570:ATG #*681:ATG
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+5253	1418579 - H37Rv	Rv1269c	366:ATG #*375:ATG 423:TTG
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+5213	1419961 - H37Rv	Rv1271c	#*342:ATG 348:TTG
+1307	1420410 - H37Rv	Rv1272c	1806:GTG 1845:ATG #*1896:GTG
+2426	1422302 - H37Rv	Rv1273c	#*1749:ATG
+2702	1424754 + H37Rv	Rv1274	525:GTG 537:TTG #*558:GTG 573:GTG
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+4882	1425438 - H37Rv	Rv1276c	#*477:ATG 507:GTG
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+1319	1430041 + H37Rv	Rv1278	#*2628:GTG
+1617	1431648 + H37Rv	Rv1279	#*1587:ATG
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+2090	1433433 - H37Rv	Rv1281c	1821:GTG #*1839:ATG
+4800	1435268 - H37Rv	Rv1282c	846:GTG #*876:ATG
+4701	1436140 - H37Rv	Rv1283c	#*978:ATG
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+1224	1437815 + H37Rv	Rv1284	#*492:GTG
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+1151	1440751 + H37Rv	Rv1286	#*1845:ATG
+5174	1441290 + H37Rv	Rv1287	456:GTG 480:ATG #*486:ATG
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+3005	1445499 - H37Rv	Rv1291c	309:ATG #*336:ATG
+1119	1448031 + H37Rv	Rv1292	1383:ATG #*1653:GTG 1860:GTG
+4334	1449371 + H37Rv	Rv1293	1278:GTG #*1344:GTG 1413:GTG 1476:GTG
+3421	1450700 + H37Rv	Rv1294	#*1326:GTG
+1844	1451779 + H37Rv	Rv1295	909:GTG 1011:GTG #*1083:ATG
+3343	1452003 + H37Rv	x	168:GTG #225:GTG
+4142	1452947 + H37Rv	Rv1296	918:GTG 948:GTG #*951:ATG
+#6357	1453207 + H37Rv	x	#108:ATG
+5822	1454970 - H37Rv	x	#195:ATG
+1512	1455012 + H37Rv	Rv1297	1692:ATG #*1809:GTG
+3441	1455405 + H37Rv	Rv1298	204:GTG #*243:ATG
+6049	1456568 + H37Rv	Rv1299	621:CTG #*1074:ATG
+799	1457542 + H37Rv	Rv1300	915:ATG #*978:ATG
+3046	1458211 + H37Rv	Rv1301	567:GTG #*654:TTG
+478	1459509 + H37Rv	Rv1302	1104:CTG 1185:GTG #*1215:GTG 1218:TTG
+#3814	1459769 + H37Rv	x	#99:GTG
+3998	1460251 + H37Rv	Rv1303	459:TTG #*486:GTG
+2512	1460996 + H37Rv	Rv1304	#*753:ATG
+4045	1461290 + H37Rv	Rv1305	#*246:ATG 288:ATG
+10	1461836 + H37Rv	Rv1306	507:GTG #*516:ATG
+2511	1463183 + H37Rv	Rv1307	#*1341:ATG
+2851	1464877 + H37Rv	Rv1308	1218:GTG #*1650:ATG
+3004	1465801 + H37Rv	Rv1309	#*918:ATG
+760	1467301 + H37Rv	Rv1310	#*1461:ATG
+4560	1467680 + H37Rv	Rv1311	#*366:ATG 432:GTG
+5063	1468131 + H37Rv	Rv1312	432:ATG #*444:ATG
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+5444	1469671 - H37Rv	Rv1314c	#*582:ATG
+4759	1471577 + H37Rv	Rv1315	1209:GTG #*1257:GTG
+660	1473613 + H37Rv	x	138:TTG #150:ATG
+3044	1477134 - H37Rv	Rv1316c	#*498:ATG 522:ATG
+#6300	1477592 + H37Rv	x	#195:TTG
+2282	1477628 - H37Rv	Rv1317c	#*1491:GTG
+124	1479199 - H37Rv	Rv1318c	#*1626:ATG
+1987	1480894 - H37Rv	Rv1319c	#*1608:ATG
+979	1482514 - H37Rv	Rv1320c	1572:ATG #*1704:ATG
+#4227	1483281 + H37Rv	x	#141:ATG
+972	1484959 + H37Rv	Rv1321	#672:GTG *681:GTG
+6063	1485278 + H37Rv	Rv1322	#*297:ATG
+4568	1485313 - H37Rv	Rv1322A	456:ATG #*459:GTG
+5202:1	1485768 - H37Rv	x	123:ATG #183:ATG 207:TTG
+1092	1487031 + H37Rv	Rv1323	1032:GTG 1131:ATG #*1170:GTG
+5306	1487068 - H37Rv	x	#174:TTG
+4532	1488075 + H37Rv	Rv1324	882:ATG #*915:GTG
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+#6907	1489482 + H37Rv	x	#723:TTG
+#6748	1490020 + H37Rv	x	#117:ATG
+239	1490117 - H37Rv	Rv1326c	#*2196:ATG
+3774	1492320 - H37Rv	Rv1327c	2067:GTG #*2106:GTG 2214:GTG
+1403	1497155 + H37Rv	Rv1328	#*2592:GTG
+401	1497195 - H37Rv	Rv1329c	1971:GTG 1977:ATG #*1995:GTG
+971	1499213 - H37Rv	Rv1330c	1281:TTG #*1347:GTG 1530:ATG
+2673	1500966 + H37Rv	Rv1331	297:GTG #*306:ATG
+778	1501582 + H37Rv	Rv1332	537:TTG 591:GTG #*657:ATG
+46	1502633 + H37Rv	Rv1333	#*1035:ATG
+1747	1503081 + H37Rv	Rv1334	414:GTG 438:TTG #*441:GTG 480:GTG
+4316	1503384 + H37Rv	Rv1335	#*282:ATG
+2558	1504365 + H37Rv	Rv1336	672:ATG #*972:ATG
+1638	1505078 + H37Rv	Rv1337	615:GTG 684:GTG #*723:ATG
+5709	1505890 + H37Rv	Rv1338	#*816:ATG
+#7494	1506656 - H37Rv	x	#804:TTG
+3915	1506738 + H37Rv	Rv1339	654:GTG 735:GTG 777:GTG #*822:ATG
+4821	1507534 + H37Rv	Rv1340	#*780:GTG 891:GTG
+177	1508184 - H37Rv	Rv1342c	#*363:ATG
+916:1	1508187 + H37Rv	Rv1341	375:GTG 606:GTG #*615:GTG
+4750	1508543 - H37Rv	Rv1343c	#*381:GTG
+3340	1509288 + H37Rv	Rv1344	#255:ATG *321:ATG
+2656	1510846 + H37Rv	Rv1345	1398:GTG 1509:ATG #*1566:ATG
+4645	1511973 - H37Rv	Rv1347c	#*633:ATG
+1017	1512006 + H37Rv	Rv1346	#*1161:ATG
+#7232	1513020 - H37Rv	x	#300:ATG
+1371	1515626 + H37Rv	Rv1348	1512:GTG 2568:TTG #*2580:ATG 2583:CTG
+2306	1517362 + H37Rv	Rv1349	#*1740:ATG 1797:GTG
+459	1518234 + H37Rv	Rv1350	#*744:ATG
+6227	1518452 - H37Rv	x	#273:ATG
+106	1518560 + H37Rv	Rv1351	273:ATG #*330:ATG
+168	1519134 + H37Rv	Rv1352	#*372:ATG
+3543	1519200 - H37Rv	Rv1353c	588:ATG #*786:ATG
+652	1520005 - H37Rv	Rv1354c	1809:ATG #*1872:ATG
+#7525	1521228 + H37Rv	x	#228:GTG
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+3157	1524029 - H37Rv	Rv1356c	756:ATG #*792:GTG
+984	1525293 - H37Rv	Rv1357c	867:TTG #*924:ATG
+4845	1526236 - H37Rv	x	#141:GTG
+#6948	1530088 - H37Rv	x	#93:ATG
+1584	1530091 + H37Rv	Rv1358	2052:TTG 2613:GTG 2643:GTG 2997:ATG 3234:GTG 3375:ATG #*3480:ATG
+1205	1530925 + H37Rv	Rv1359	606:ATG 747:ATG #*753:ATG 762:TTG
+4995	1530973 - H37Rv	x	225:ATG #237:ATG
+5185	1532370 + H37Rv	Rv1360	#*1023:ATG
+132:1	1532443 - H37Rv	Rv1361c	996:ATG 1089:GTG 1146:ATG 1188:GTG #*1191:GTG
+970	1533948 - H37Rv	Rv1362c	#*663:GTG
+4419	1534607 - H37Rv	Rv1363c	732:ATG #*786:ATG
+834	1535683 - H37Rv	Rv1364c	1743:ATG #*1962:ATG 2025:CTG 2034:TTG 2046:TTG
+4601	1537783 - H37Rv	Rv1365c	#*387:ATG
+1117	1539211 + H37Rv	Rv1366	681:ATG 738:GTG 753:GTG 792:GTG #*822:GTG
+5801	1539440 + H37Rv	x	#237:GTG 261:ATG
+2266	1539512 - H37Rv	Rv1367c	*1134:ATG 1155:CTG #1206:GTG
+#4528	1540969 + H37Rv	x	114:ATG #147:GTG
+6886	1541780 - H37Rv	x	#348:ATG
+2604	1541805 + H37Rv	Rv1368	558:GTG #*786:ATG
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+2048:1	1542929 - H37Rv	Rv1370c	270:ATG 276:GTG 291:CTG #*327:ATG
+#7348	1542932 + H37Rv	x	#204:GTG
+4131	1544828 + H37Rv	Rv1371	1386:GTG 1395:TTG #*1470:GTG
+#7523	1544834 - H37Rv	x	#327:GTG
+1393	1546006 + H37Rv	Rv1372	678:GTG 1089:GTG 1113:TTG #*1182:ATG
+136	1546992 + H37Rv	Rv1373	933:ATG 936:TTG 963:ATG #*981:ATG 990:GTG
+3189	1547072 - H37Rv	Rv1374c	#*459:GTG
+#2896	1547764 - H37Rv	x	#102:ATG
+1653	1549151 + H37Rv	Rv1375	1221:GTG 1257:GTG #*1320:ATG
+#6798	1550270 - H37Rv	x	#285:TTG
+682	1550579 - H37Rv	Rv1377c	#*639:ATG 681:GTG
+753	1550641 + H37Rv	Rv1376	1332:TTG #*1494:ATG
+3028	1551228 - H37Rv	Rv1378c	1263:GTG 1278:GTG 1290:ATG #*1428:ATG 1512:ATG
+271	1553235 + H37Rv	Rv1379	#*582:ATG
+4206	1554191 + H37Rv	Rv1380	#*960:ATG
+4214	1555480 + H37Rv	Rv1381	1287:GTG #*1293:GTG
+6079	1555974 + H37Rv	Rv1382	#*498:ATG
+3377	1557101 + H37Rv	Rv1383	885:GTG 1095:GTG #*1131:TTG 1149:GTG
+842	1560448 + H37Rv	Rv1384	#*3348:GTG
+1442	1561269 + H37Rv	Rv1385	#*825:GTG 945:GTG
+4712	1561772 + H37Rv	Rv1386	#*309:GTG
+2036	1563388 + H37Rv	Rv1387	1575:ATG #*1620:ATG
+7304	1563443 - H37Rv	x	#252:ATG
+#4985	1563486 - H37Rv	x	156:GTG #222:GTG
+356	1564266 + H37Rv	Rv1388	#318:GTG 336:ATG *573:TTG
+4766	1565027 + H37Rv	Rv1389	#*627:GTG 654:GTG
+3823	1565425 + H37Rv	Rv1390	#*333:GTG 402:GTG
+1436	1566697 + H37Rv	Rv1391	1254:GTG #*1257:GTG
+581	1568036 + H37Rv	Rv1392	1176:GTG #*1212:GTG 1221:ATG
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+#6742	1569339 + H37Rv	x	#177:TTG
+874	1569584 - H37Rv	Rv1394c	1323:ATG 1338:ATG #*1386:ATG
+485	1572081 + H37Rv	Rv1395	951:GTG 996:GTG 1008:GTG #*1035:GTG
+2185	1572127 - H37Rv	Rv1396c	#*1731:ATG 1794:CTG
+#6598	1573035 + H37Rv	x	#432:GTG
+#435	1573924 + H37Rv	x	#174:GTG
+3243	1574112 - H37Rv	Rv1397c	381:GTG #*402:ATG 417:GTG
+3038	1574510 - H37Rv	Rv1398c	#*258:ATG 270:ATG
+2146	1574850 - H37Rv	Rv1399c	921:GTG #*960:ATG
+4556	1575834 - H37Rv	Rv1400c	954:TTG #*963:ATG
+362	1577532 + H37Rv	Rv1401	516:TTG #*603:ATG 696:GTG 711:CTG 714:TTG 753:TTG 786:ATG
+3129	1579580 + H37Rv	Rv1402	#*1968:ATG 1977:GTG 2040:TTG
+304	1579598 - H37Rv	Rv1403c	#*825:ATG
+134	1581073 + H37Rv	Rv1404	444:GTG #*483:ATG 528:GTG
+3592	1581145 - H37Rv	Rv1405c	#*825:ATG
+3394	1583104 + H37Rv	Rv1406	#*939:GTG
+3485	1584474 + H37Rv	Rv1407	#*1374:ATG
+695	1585197 + H37Rv	Rv1408	690:ATG #*699:GTG
+2143	1586210 - H37Rv	Rv1410c	1329:ATG #*1557:ATG 1605:ATG
+1502	1586213 + H37Rv	Rv1409	1014:GTG #*1020:ATG
+4284	1587772 - H37Rv	Rv1411c	#*711:ATG 720:ATG
+113	1589172 + H37Rv	Rv1412	#*606:ATG
+3509	1589901 + H37Rv	Rv1413	#*516:GTG
+2895	1590292 + H37Rv	Rv1414	#*402:GTG 771:GTG
+1977	1591674 + H37Rv	Rv1415	1269:TTG #*1278:ATG
+3625	1592153 + H37Rv	Rv1416	*465:GTG #483:GTG
+1758	1592614 + H37Rv	Rv1417	#*465:GTG
+4913	1593325 + H37Rv	Rv1418	627:GTG 630:GTG #*687:ATG
+213	1593978 + H37Rv	Rv1419	#*474:ATG
+1774	1595982 + H37Rv	Rv1420	1761:GTG 1884:GTG #*1941:GTG
+2957	1596884 + H37Rv	Rv1421	#*906:ATG
+995	1597909 + H37Rv	Rv1422	#*1029:ATG
+1026	1598883 + H37Rv	Rv1423	#*978:ATG 984:GTG
+240	1598893 - H37Rv	Rv1424c	#609:GTG *762:ATG
+413	1601037 + H37Rv	Rv1425	1314:GTG 1320:ATG #*1380:ATG 1818:ATG
+1405	1601059 - H37Rv	Rv1426c	726:GTG 1215:GTG #*1263:ATG
+766	1602321 - H37Rv	Rv1427c	1584:TTG #*1608:ATG
+1289	1603932 - H37Rv	Rv1428c	654:GTG 735:GTG #*828:TTG
+2514	1606146 + H37Rv	Rv1429	#*1269:GTG
+492	1607972 + H37Rv	Rv1430	#*1587:ATG
+2365	1609852 + H37Rv	Rv1431	#*1770:ATG
+4874	1611270 + H37Rv	Rv1432	#*1422:ATG
+751:1	1612249 + H37Rv	Rv1433	735:GTG 765:GTG #*816:ATG
+1069	1612342 - H37Rv	Rv1435c	#600:ATG *609:TTG 642:TTG
+#4544	1612393 + H37Rv	Rv1434	#*138:ATG
+7394	1613143 + H37Rv	x	#216:TTG
+985	1614326 + H37Rv	Rv1436	#*1020:GTG
+1797	1615567 + H37Rv	Rv1437	#*1239:ATG
+4610	1616349 + H37Rv	Rv1438	#*786:GTG
+4877	1616365 - H37Rv	x	228:ATG #237:GTG
+#6129	1616804 + H37Rv	x	#132:GTG
+5313	1616961 - H37Rv	Rv1439c	#*426:ATG
+5740	1617460 - H37Rv	x	#162:GTG
+1001	1617729 + H37Rv	x	#165:ATG
+3667	1618067 - H37Rv	x	#273:GTG
+306	1618070 + H37Rv	Rv1440	#*234:ATG 345:GTG 414:GTG
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+#7546	1618610 + H37Rv	x	#396:GTG
+#4843	1619697 + H37Rv	x	#165:ATG
+#5004	1622088 - H37Rv	x	#120:GTG
+1281	1622091 + H37Rv	Rv1442	#*2301:ATG
+1025	1622207 - H37Rv	Rv1443c	465:GTG #*486:GTG
+327	1623007 + H37Rv	x	#240:ATG 252:TTG
+#4838	1623124 - H37Rv	x	#114:ATG
+6437	1623259 + H37Rv	x	#204:GTG
+3731	1623287 - H37Rv	Rv1444c	360:ATG 372:GTG #*411:ATG
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+428	1624454 - H37Rv	Rv1446c	#*912:ATG
+2761	1625418 - H37Rv	Rv1447c	1308:GTG 1455:ATG #*1545:ATG
+4738	1626959 - H37Rv	Rv1448c	#*1122:ATG
+202	1628097 - H37Rv	Rv1449c	1863:TTG #*2103:GTG 2178:ATG
+#5974	1630240 - H37Rv	x	#126:ATG
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+285	1630638 - H37Rv	Rv1450c	#*3990:ATG 3993:GTG
+#2711	1631210 + H37Rv	x	#759:GTG
+#3409	1632026 - H37Rv	x	678:ATG #942:GTG
+7541	1634821 - H37Rv	x	#159:ATG
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+#6259	1636351 - H37Rv	x	#321:GTG
+859	1639646 + H37Rv	Rv1453	#*1266:GTG 1299:GTG
+638	1639674 - H37Rv	Rv1454c	#*987:ATG 1008:ATG
+#905	1640668 - H37Rv	x	#135:ATG
+#6618	1640974 - H37Rv	x	#393:GTG
+2316	1641493 - H37Rv	Rv1456c	915:GTG #*933:GTG 936:TTG
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+4146	1642537 - H37Rv	Rv1457c	537:GTG 711:ATG #*786:GTG
+765	1643319 - H37Rv	Rv1458c	#*942:GTG
+269	1644363 - H37Rv	Rv1459c	#*1776:ATG
+2145	1646992 + H37Rv	Rv1460	666:GTG 774:CTG #*807:GTG 837:ATG 927:GTG
+1451	1649529 + H37Rv	Rv1461	#*2541:ATG
+328	1650719 + H37Rv	Rv1462	#*1194:ATG
+1724	1651516 + H37Rv	Rv1463	#*801:ATG
+141	1652771 + H37Rv	Rv1464	1242:GTG #*1254:ATG
+3386	1653256 + H37Rv	Rv1465	342:TTG #*489:GTG
+4632	1653578 + H37Rv	Rv1466	#*348:ATG
+1549	1653673 - H37Rv	Rv1467c	#*1830:TTG
+414	1655609 - H37Rv	Rv1468c	822:TTG 975:GTG #*1113:ATG 1128:TTG
+1228	1658936 + H37Rv	Rv1469	1863:GTG 1899:TTG #*1974:ATG
+5043	1659354 + H37Rv	Rv1470	#*375:GTG 381:GTG
+5812	1659741 + H37Rv	Rv1471	#*372:GTG
+1678	1660620 + H37Rv	Rv1472	804:TTG 810:GTG #*858:GTG
+4089	1662284 + H37Rv	Rv1473	1392:GTG #*1629:GTG
+3767	1662572 + H37Rv	Rv1473A	#*192:ATG
+5055	1662641 - H37Rv	Rv1474c	#*564:GTG
+1733	1663215 - H37Rv	Rv1475c	2817:GTG #*2832:GTG
+5463	1666764 + H37Rv	Rv1476	#*561:ATG
+2214	1668408 + H37Rv	Rv1477	828:GTG 1341:GTG 1347:TTG #*1419:ATG
+2250	1669144 + H37Rv	Rv1478	486:TTG 696:CTG #*726:ATG 762:ATG
+2434	1670416 + H37Rv	Rv1479	#*1134:ATG
+45	1671366 + H37Rv	Rv1480	912:ATG #*954:GTG
+845	1672384 + H37Rv	Rv1481	984:ATG #*1008:ATG
+2838	1672457 - H37Rv	Rv1482c	#*843:ATG 879:GTG
+3640	1674183 + H37Rv	Rv1483	621:GTG #*744:GTG
+1968	1675011 + H37Rv	Rv1484	#*810:ATG
+123	1676017 - H37Rv	Rv1486c	*867:ATG #909:GTG
+5357	1676051 + H37Rv	Rv1485	#*1035:ATG
+2581	1677375 + H37Rv	Rv1487	#*435:ATG 477:TTG
+980	1678542 + H37Rv	Rv1488	1122:GTG #*1146:GTG
+2829	1678908 + H37Rv	Rv1489	348:TTG #*357:ATG
+3668	1679172 + H37Rv	Rv1489A	#*231:GTG
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+2587	1680629 + H37Rv	Rv1490	1236:GTG #*1308:GTG
+1778	1680990 + H37Rv	x	195:GTG #264:TTG
+4552	1681208 - H37Rv	Rv1491c	#*759:GTG
+2539	1684004 + H37Rv	Rv1492	1083:GTG #*1848:GTG 1872:TTG
+2031	1686257 + H37Rv	Rv1493	#*2253:ATG
+3206	1686573 + H37Rv	Rv1494	264:GTG #*303:GTG
+1962	1686887 + H37Rv	Rv1495	#*318:GTG
+1417	1687888 + H37Rv	Rv1496	1002:ATG #*1005:ATG 1011:GTG
+207	1689230 + H37Rv	Rv1497	1287:ATG #*1290:GTG
+3282	1689303 - H37Rv	Rv1498c	582:TTG #*618:GTG 726:CTG 774:CTG
+1196	1690134 - H37Rv	Rv1498A	192:GTG #*213:ATG
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+217	1690805 + H37Rv	Rv1499	357:TTG #*399:GTG 471:GTG
+182	1691878 + H37Rv	Rv1500	999:ATG 1005:ATG #*1029:ATG
+1573	1692711 + H37Rv	Rv1501	#*822:ATG 837:GTG
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+4715	1693996 - H37Rv	x	441:TTG #543:CTG 549:GAC
+3966	1694545 - H37Rv	Rv1504c	405:ATG 564:ATG #*600:GTG
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+1165	1695281 - H37Rv	Rv1505c	519:GTG #*666:ATG
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+3924	1705061 + H37Rv	Rv1512	657:GTG #*969:ATG 1017:GTG
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+6420	1944611 - H37Rv	x	#1161:ATG
+3443	1944756 + H37Rv	Rv1717	285:ATG #*351:ATG
+4164	1945627 + H37Rv	Rv1718	#*819:ATG 825:GTG
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+5399	1946524 + H37Rv	x	#108:ATG
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+5339	1947416 - H37Rv	Rv1721c	#*228:ATG
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+#4165	1986545 + H37Rv	x	#201:ATG 222:GTG
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+5723	1992972 + H37Rv	x	#159:GTG 219:GTG 234:GTG
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+7205	1998926 - H37Rv	x	#210:CTG
+#5884	1999070 + H37Rv	x	#135:GTG
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+840	2159943 + H37Rv	Rv1913	720:GTG #*753:GTG
+5621	2161566 + H37Rv	Rv1915	#*1104:ATG
+3024	2162762 + H37Rv	Rv1916	1179:GTG #*1197:ATG 1227:GTG 1311:TTG
+2747	2162932 - H37Rv	Rv1917c	4311:ATG #*4380:ATG 4413:ATG
+#6112	2167432 + H37Rv	x	#123:ATG
+3766	2167649 - H37Rv	Rv1918c	2952:GTG #*2964:ATG 3042:ATG
+2237	2171061 - H37Rv	Rv1919c	393:GTG #*465:ATG 486:TTG
+#4839	2171550 + H37Rv	x	#138:ATG
+2947	2172486 + H37Rv	Rv1920	801:GTG #*864:GTG
+1422	2172524 - H37Rv	Rv1921c	#*1272:ATG
+3170	2175182 + H37Rv	Rv1922	1083:ATG #*1116:ATG
+3775	2176513 + H37Rv	Rv1923	1230:GTG 1281:ATG #*1341:TTG
+4890	2176550 - H37Rv	Rv1924c	#*381:ATG 471:GTG
+3641	2178949 + H37Rv	Rv1925	1191:ATG #*1863:ATG
+3908	2178957 - H37Rv	Rv1926c	#*480:ATG
+#3681	2179566 - H37Rv	x	#93:ATG
+1310	2180446 + H37Rv	Rv1927	#*774:GTG 777:GTG
+1767	2180450 - H37Rv	Rv1928c	#*768:ATG
+531	2181262 - H37Rv	Rv1929c	630:TTG #*645:GTG
+4262	2181918 - H37Rv	Rv1930c	330:GTG #*525:ATG
+3601	2182460 - H37Rv	Rv1931c	#*780:GTG 792:ATG 921:CTG
+#3398	2182687 - H37Rv	x	279:ATG #393:TTG 501:GTG
+2986	2183866 - H37Rv	Rv1933c	1017:GTG #*1092:GTG
+1268	2183869 + H37Rv	Rv1932	#*498:ATG 945:GTG
+3707	2184959 - H37Rv	Rv1934c	#*1230:GTG
+4769	2186203 - H37Rv	Rv1935c	#*957:ATG
+1874	2188493 + H37Rv	Rv1936	#*1110:ATG 1179:GTG
+69	2191015 + H37Rv	Rv1937	2136:ATG 2343:ATG #*2520:ATG
+437	2192097 + H37Rv	Rv1938	#*1071:GTG
+2137	2192609 + H37Rv	Rv1939	273:GTG #*516:GTG
+4055	2193667 + H37Rv	Rv1940	702:GTG #*1062:ATG
+3205	2194434 + H37Rv	Rv1941	#*771:TTG
+1438	2194644 - H37Rv	Rv1942c	288:ATG 303:GTG #*330:GTG 354:GTG
+3322	2194970 - H37Rv	Rv1943c	#*378:GTG
+322	2195344 - H37Rv	Rv1944c	486:ATG #*591:ATG
+923:1	2197353 + H37Rv	Rv1945	837:ATG 888:CTG 945:TTG 1026:TTG 1038:CTG 1053:CTG #*1365:ATG 1410:ATG 1449:ATG
+5522	2197508 - H37Rv	Rv1946c	#*453:ATG
+#1409	2197665 + H37Rv	x	105:ATG #120:GTG
+#5379	2197849 + H37Rv	x	162:GTG #219:ATG 237:GTG
+6401	2198418 - H37Rv	x	#183:GTG
+2486	2198425 + H37Rv	Rv1947	#*402:GTG
+1655	2198714 - H37Rv	Rv1948c	#*351:ATG
+5305	2199075 - H37Rv	x	#903:TTG 957:CTG 960:TGG
+2872	2199998 - H37Rv	Rv1950c	#*192:TTG
+3232	2200190 - H37Rv	Rv1951c	#*297:ATG 414:TTG
+5824	2200941 + H37Rv	Rv1952	*216:GTG #228:ATG
+7058	2201223 - H37Rv	Rv1954c	#*522:ATG
+1305	2201249 + H37Rv	Rv1953	#*312:GTG
+#4656	2201579 + H37Rv	x	#222:ATG
+5216	2202096 + H37Rv	Rv1955	324:GTG 354:ATG #*513:GTG
+1485	2202587 + H37Rv	Rv1956	432:TTG #*450:ATG
+6954	2203018 - H37Rv	Rv1958c	531:ATA #*615:ATG
+448	2203129 + H37Rv	Rv1957	378:GTG #*546:ATG
+#2728	2203338 + H37Rv	x	#153:ATG
+4361	2203681 - H37Rv	Rv1959c	#*297:GTG
+4940	2203974 - H37Rv	Rv1960c	#*252:GTG
+4963	2204706 + H37Rv	Rv1961	342:ATG #*495:GTG
+#5879	2204813 + H37Rv	x	#93:ATG 108:ATG
+3167	2204866 - H37Rv	Rv1962c	#*408:GTG
+4469	2205277 - H37Rv	x	264:GTG #273:GTG
+3460	2205582 - H37Rv	Rv1963c	1164:TTG #*1221:ATG
+#5069	2206777 - H37Rv	x	126:GTG #138:GTG
+7616	2207021 - H37Rv	x	#453:GTG
+#6931	2207207 + H37Rv	x	#258:GTG
+7528	2207740 + H37Rv	x	#303:GTG
+3940	2208497 + H37Rv	Rv1964	#*798:ATG 810:GTG
+5114	2209322 + H37Rv	Rv1965	765:ATG 777:ATG #*816:ATG
+1432	2210604 + H37Rv	Rv1966	1095:ATG 1251:TTG #*1278:ATG
+2476	2211629 + H37Rv	Rv1967	933:GTG #*1029:ATG
+1777	2212858 + H37Rv	Rv1968	#*1233:ATG 1245:GTG 1323:GTG
+2469	2214126 + H37Rv	Rv1969	1224:GTG 1242:GTG #*1272:GTG
+5323	2215256 + H37Rv	Rv1970	#*1134:GTG
+609	2216570 + H37Rv	Rv1971	1104:GTG 1266:GTG 1293:GTG #*1314:ATG
+1979	2217167 + H37Rv	Rv1972	291:GTG 564:GTG #*576:ATG
+1911	2217646 + H37Rv	Rv1973	#*483:GTG
+1168	2218036 + H37Rv	Rv1974	360:ATG #*378:GTG
+2603	2218717 + H37Rv	Rv1975	609:ATG 636:TTG #*666:ATG
+#5935	2218725 - H37Rv	x	#123:GTG
+2574	2218844 - H37Rv	Rv1976c	267:GTG 387:ATG #*408:GTG
+3389	2220800 + H37Rv	Rv1977	#*1047:ATG
+3050	2221719 - H37Rv	Rv1979c	1386:ATG #*1446:GTG
+4515	2221756 + H37Rv	Rv1978	#*849:ATG 885:TTG
+1199	2223343 - H37Rv	Rv1980c	#*687:GTG 816:TTG
+5388	2224220 - H37Rv	Rv1981c	#*969:ATG
+#7132	2225185 - H37Rv	x	#96:ATG
+5260	2225413 - H37Rv	Rv1982c	#*420:ATG
+4978	2225841 - H37Rv	x	#261:GTG
+608	2227908 - H37Rv	Rv1984c	618:GTG #*654:ATG 660:GTG
+3577	2227920 + H37Rv	Rv1983	1053:ATG #*1677:GTG
+5848	2228906 + H37Rv	x	219:GTG #231:ATG
+2689	2228991 - H37Rv	Rv1985c	#*912:ATG
+3153	2230610 + H37Rv	Rv1986	525:GTG #*600:GTG
+#4459	2231070 - H37Rv	x	#150:GTG
+6159	2231454 + H37Rv	Rv1987	#*429:ATG
+2662	2232219 + H37Rv	Rv1988	435:GTG 453:GTG #*540:GTG
+6316	2232671 + H37Rv	x	#273:ATG
+5227	2232739 - H37Rv	Rv1989c	#*561:GTG
+644	2233296 - H37Rv	Rv1990c	330:GTG #*342:ATG
+7371	2233881 - H37Rv	Rv1990A	#*336:GTG
+2465	2233980 + H37Rv	x	#258:ATG
+4723	2234305 - H37Rv	Rv1991c	342:GTG #*345:GTG
+#3513	2234593 + H37Rv	x	#201:TTG
+4009	2234643 - H37Rv	x	180:ATG #249:ATG
+218	2234991 - H37Rv	Rv1992c	1950:GTG 2250:GTG 2256:ATG #*2316:GTG
+3955	2237303 - H37Rv	Rv1993c	#*273:GTG 306:GTG
+4812	2237628 - H37Rv	Rv1994c	342:ATG #*357:ATG
+1664	2238908 + H37Rv	Rv1995	729:ATG 738:GTG #*768:GTG
+1715	2239957 + H37Rv	Rv1996	837:GTG 858:ATG #*954:ATG
+493	2242876 + H37Rv	Rv1997	1830:GTG 2166:GTG 2664:GTG 2706:GTG #*2718:TTG
+1914	2242945 - H37Rv	Rv1998c	#*777:ATG
+1404	2243816 - H37Rv	Rv1999c	1263:TTG #*1323:ATG
+185	2246822 + H37Rv	Rv2000	1380:GTG 1443:ATG #*1614:ATG 1632:TTG
+3511	2247584 + H37Rv	Rv2001	#*753:GTG
+3576	2248442 + H37Rv	Rv2002	729:ATG #*783:ATG 837:ATG
+1530	2248563 - H37Rv	Rv2003c	#690:ATG 708:GTG *858:GTG
+4402	2249260 - H37Rv	x	#198:ATG
+5371	2249478 - H37Rv	Rv2004c	#*1497:ATG 1509:TTG
+463	2250996 - H37Rv	Rv2005c	729:ATG #*888:ATG
+#5693	2251927 - H37Rv	x	#516:GTG
+1070	2255985 + H37Rv	Rv2006	3135:GTG #*3984:GTG
+5279	2256084 - H37Rv	Rv2007c	#*345:GTG
+2226	2256617 - H37Rv	Rv2008c	1170:ATG #*1326:ATG 1359:TTG
+5956	2258272 + H37Rv	Rv2009	228:GTG #*243:GTG
+1367	2258671 + H37Rv	Rv2010	#*399:ATG
+5486	2258699 - H37Rv	x	#159:TTG
+4929	2258854 - H37Rv	Rv2011c	#*432:ATG
+683	2259820 + H37Rv	Rv2012	387:ATG 435:ATG #*495:ATG
+67	2260021 - H37Rv	x	#240:GTG
+5039	2260065 + H37Rv	x	#249:TTG
+4824	2260418 + H37Rv	x	#189:GTG
+606	2261144 + H37Rv	Rv2013	#*480:GTG
+3792	2261688 + H37Rv	Rv2014	324:TTG #*591:GTG
+716:1	2261816 - H37Rv	Rv2015c	1098:GTG 1140:GTG 1206:GTG #*1257:ATG 1296:TTG
+4687	2264001 + H37Rv	Rv2016	#*576:ATG 612:ATG 642:TTG
+429	2265038 + H37Rv	Rv2017	#*1041:ATG
+3288	2265999 + H37Rv	Rv2018	#*720:ATG 729:GTG 789:GTG
+3554	2266405 + H37Rv	Rv2019	303:ATG 351:GTG #*417:TTG
+5054	2266421 - H37Rv	Rv2020c	288:ATG #*300:GTG
+2987	2266805 - H37Rv	Rv2021c	231:ATG #*306:ATG
+1299	2267119 - H37Rv	Rv2022c	366:GTG 384:GTG 417:GTG #*606:GTG
+1971	2267749 - H37Rv	Rv2023c	309:ATG #*360:GTG 456:TTG
+6212	2268268 - H37Rv	x	#459:GTG
+2474	2268693 - H37Rv	Rv2024c	#*1548:ATG
+#5854	2270351 + H37Rv	x	#126:GTG
+#2633	2270447 - H37Rv	x	#117:ATG
+3431	2270750 - H37Rv	Rv2025c	960:ATG #*999:ATG 1056:TTG
+4168	2271863 - H37Rv	Rv2026c	#*885:ATG
+118	2272787 - H37Rv	Rv2027c	906:GTG 1677:TTG #*1722:GTG
+4308	2274569 - H37Rv	Rv2028c	#*840:ATG
+509	2275405 - H37Rv	Rv2029c	966:ATG #*1020:ATG
+640	2276441 - H37Rv	Rv2030c	1026:ATG 1461:ATG #*2046:GTG
+3644	2278498 - H37Rv	Rv2031c	#*435:ATG 486:ATG
+#5710	2280108 - H37Rv	x	#123:ATG
+249	2280124 + H37Rv	Rv2032	954:GTG #*996:ATG 1002:TTG
+3184	2280240 - H37Rv	Rv2033c	552:GTG #*843:GTG
+721	2281617 + H37Rv	Rv2034	258:GTG #*324:GTG 408:ATG 471:ATG
+2035	2282102 + H37Rv	Rv2035	#*489:ATG
+1294	2282740 + H37Rv	Rv2036	#*642:ATG 696:ATG
+4486	2282747 - H37Rv	Rv2037c	#*975:GTG
+2959	2283723 - H37Rv	Rv2038c	#*1074:ATG
+4119	2284799 - H37Rv	Rv2039c	#*843:GTG
+4572	2285628 - H37Rv	Rv2040c	795:ATG 864:ATG #*903:ATG
+3233	2286527 - H37Rv	Rv2041c	993:TTG #*1320:ATG
+1242	2287884 - H37Rv	Rv2042c	675:GTG #*798:ATG 801:CTG
+3555	2288681 - H37Rv	Rv2043c	#*561:ATG
+2165	2289282 - H37Rv	Rv2044c	#*318:ATG 351:ATG 390:GTG
+1698	2289685 - H37Rv	Rv2045c	1200:ATG 1506:ATG #*1536:GTG 1668:CTG
+2221	2291925 + H37Rv	Rv2046	627:TTG #*657:ATG
+178	2291962 - H37Rv	Rv2047c	2391:ATG #*2565:GTG
+1189	2294531 - H37Rv	Rv2048c	7854:ATG #*12456:ATG
+#3393	2307012 + H37Rv	x	#396:GTG
+4448	2307293 - H37Rv	Rv2049c	#*225:ATG 303:GTG 351:ATG 363:ATG
+303	2308131 - H37Rv	Rv2051c	2607:GTG #*2625:GTG 2790:ATG
+2948	2308156 + H37Rv	Rv2050	297:GTG #*336:ATG 489:GTG
+782	2310913 - H37Rv	Rv2052c	#*1605:GTG
+3558	2312522 - H37Rv	Rv2053c	*528:GTG #531:GTG
+#6619	2313076 + H37Rv	x	#579:TTG
+1209	2313838 + H37Rv	Rv2054	#*714:ATG
+#3739	2313974 - H37Rv	x	117:ATG #123:GTG
+4073	2314087 - H37Rv	Rv2055c	162:GTG #*267:ATG
+5687	2314354 - H37Rv	Rv2056c	#*306:GTG
+6054	2314661 - H37Rv	Rv2057c	#*165:ATG
+4179:1	2314825 - H37Rv	Rv2058c	#*237:TTG
+#3979:1	2315247 - H37Rv	x	111:ATG #159:GTG
+#7101:1	2315276 - H37Rv	x	#693:GTG
+#5161	2316680 + H37Rv	Rv2060	#*402:ATG
+2886	2316681 - H37Rv	Rv2061c	306:TTG #*405:GTG 414:TTG 444:GTG
+709	2316709 + H37Rv	Rv2059	1209:GTG 1251:ATG 1266:ATG #*1536:GTG
+1042	2317169 - H37Rv	Rv2062c	2346:GTG 3240:TTG 3441:GTG #*3585:GTG 3588:TTG
+1366	2321064 + H37Rv	Rv2063	153:ATG #*234:ATG
+1930	2321467 + H37Rv	x	315:GTG 327:GTG #411:TTG
+3372	2322542 + H37Rv	Rv2064	822:GTG #*1092:GTG 1137:CTG
+4388	2323178 + H37Rv	Rv2065	#*627:GTG
+5503	2324647 - H37Rv	Rv2067c	#*1224:GTG
+1217	2324701 + H37Rv	Rv2066	1221:GTG #*1527:ATG
+#5905	2325234 + H37Rv	x	#120:GTG
+1703	2325886 - H37Rv	Rv2068c	540:ATG #*924:ATG
+2610	2327491 - H37Rv	Rv2070c	#*735:GTG
+741	2327501 + H37Rv	Rv2069	#*558:ATG 669:ATG 936:ATG
+2318	2328222 - H37Rv	Rv2071c	#*756:ATG 774:GTG 801:TTG
+3666	2328974 - H37Rv	Rv2072c	846:ATG #*1173:ATG
+4351	2330214 - H37Rv	Rv2073c	657:ATG #*750:GTG
+1236	2331406 + H37Rv	Rv2074	408:ATG #*414:GTG
+2976	2331416 - H37Rv	Rv2075c	1428:ATG #*1464:ATG
+1181	2333037 - H37Rv	Rv2076c	165:ATG #*252:GTG 300:GTG
+81	2333323 - H37Rv	Rv2077c	#*972:ATG
+5466	2334295 - H37Rv	Rv2077A	#*300:GTG
+#6456	2334579 + H37Rv	x	#108:TTG
+6679	2334852 - H37Rv	x	#444:ATG
+5964	2334877 + H37Rv	x	#150:ATG
+1880	2335373 + H37Rv	Rv2078	#*315:GTG
+1191	2337325 + H37Rv	Rv2079	#*1971:ATG
+#3837	2337844 - H37Rv	x	#195:TTG
+1671	2337869 + H37Rv	Rv2080	393:ATG 501:GTG 516:TTG #*564:ATG 573:ATG
+#6266	2338065 - H37Rv	Rv2081c	#*441:ATG 453:TTG
+4724	2338188 + H37Rv	x	#267:GTG 399:ATG
+3345	2338719 + H37Rv	x	444:GTG #453:TTG
+#6374	2338934 - H37Rv	x	288:GTG #306:GTG
+#5632	2339298 - H37Rv	x	225:GTG #345:GTG
+#1956	2339356 - H37Rv	x	#564:ATG
+#2541	2339986 - H37Rv	x	144:GTG #219:GTG 240:GTG
+2081	2340874 + H37Rv	Rv2082	#*2166:GTG
+1265	2341815 + H37Rv	Rv2083	#*945:ATG
+2901	2342944 + H37Rv	Rv2084	#*1137:GTG 1143:ATG
+2314	2343332 + H37Rv	Rv2085	#*306:GTG
+3045	2343916 + H37Rv	Rv2086	#*606:GTG
+4360	2344224 + H37Rv	Rv2087	#*231:ATG
+2131	2346180 + H37Rv	Rv2088	#*1770:GTG
+2817	2346197 - H37Rv	Rv2089c	963:GTG #*1128:ATG 1215:GTG 1386:GTG
+2989	2348554 + H37Rv	Rv2090	921:ATG 942:GTG 957:TTG 1014:TTG #*1182:ATG
+380	2348558 - H37Rv	Rv2091c	654:GTG #*735:ATG
+567	2349334 - H37Rv	Rv2092c	2100:CTG #*2721:GTG
+2968	2352103 - H37Rv	Rv2093c	816:TTG 855:ATG #*927:GTG
+4971	2353046 - H37Rv	Rv2094c	#*252:GTG 348:ATG
+1348	2353365 - H37Rv	Rv2095c	#*951:ATG
+878	2354312 - H37Rv	Rv2096c	#*999:ATG
+3245	2355319 - H37Rv	Rv2097c	1344:ATG #*1359:GTG
+2372	2356729 - H37Rv	x	#1173:GTG 1245:CTG
+#6223	2357295 - H37Rv	x	#228:GTG
+#2963	2357907 - H37Rv	x	#300:ATG 408:CTG
+2682	2358492 + H37Rv	x	438:ATG 504:ATG #519:TTG
+3482	2360041 + H37Rv	Rv2100	843:CTG 1332:GTG 1587:GTG #*1653:ATG 1656:GTG
+#7543	2360060 - H37Rv	x	#630:GTG
+#7475	2360326 - H37Rv	x	#222:GTG
+1932	2363281 + H37Rv	Rv2101	2550:GTG 2865:TTG #*3042:ATG
+3748	2364086 - H37Rv	Rv2103c	#*435:ATG 438:TTG
+4914	2364107 + H37Rv	Rv2102	*717:GTG #834:GTG
+4594	2364527 - H37Rv	Rv2104c	237:TTG #*255:ATG
+1490	2364797 - H37Rv	x	#258:ATG 297:GTG
+#1505	2365508 + H37Rv	x	#96:ATG
+#7348	2365788 - H37Rv	x	#204:GTG
+2048:1	2365791 + H37Rv	Rv2105	270:ATG 276:GTG 291:CTG #*327:ATG
+543:1	2366726 + H37Rv	x	465:GTG 492:GTG 645:CTG 837:GTG #885:TTG
+#7628	2367111 - H37Rv	x	#99:GTG
+3669	2367655 + H37Rv	Rv2107	225:ATG 267:ATG #*297:ATG
+1474	2368442 + H37Rv	Rv2108	#*732:ATG
+#4476	2368860 + H37Rv	x	#129:TTG
+1073	2368983 - H37Rv	Rv2109c	#*747:GTG
+3062	2369726 - H37Rv	Rv2110c	#*876:GTG
+2806	2370598 - H37Rv	Rv2111c	#*195:ATG 216:ATG
+2201	2370905 - H37Rv	Rv2112c	#1518:ATG 1581:ATG 1638:ATG *1665:ATG
+3204	2372618 + H37Rv	x	#171:ATG
+1419	2373823 + H37Rv	Rv2113	1053:ATG 1146:GTG #*1194:ATG
+1459	2374457 + H37Rv	Rv2114	597:TTG #*624:ATG 642:ATG 663:GTG
+2883	2374461 - H37Rv	Rv2115c	#*1830:ATG 1848:GTG
+#7049	2375912 + H37Rv	x	#444:GTG
+4276	2377140 + H37Rv	Rv2116	384:GTG #*570:ATG
+551	2377441 + H37Rv	Rv2117	#*294:ATG
+5461	2377470 - H37Rv	Rv2118c	#*843:GTG
+2839	2379222 + H37Rv	Rv2119	#*837:ATG
+4619	2379245 - H37Rv	Rv2120c	#*483:GTG 516:TTG
+1053	2379806 - H37Rv	Rv2121c	#*855:ATG 861:GTG
+798	2380663 - H37Rv	Rv2122c	#*282:GTG
+3879	2382489 - H37Rv	Rv2124c	#*3579:GTG
+2923	2382492 + H37Rv	Rv2123	891:GTG 1410:ATG #*1422:GTG
+#7062	2386466 - H37Rv	x	#234:GTG
+#5057	2387168 - H37Rv	x	#438:GTG
+228	2387171 + H37Rv	Rv2125	#*879:GTG
+#3410	2387202 - H37Rv	Rv2126c	#*771:TTG 1068:GTG 1089:CTG
+512	2387969 - H37Rv	x	#267:ATG 303:ATG
+4068	2390085 + H37Rv	Rv2127	1389:ATG #*1470:TTG
+5845	2390288 + H37Rv	Rv2128	135:ATG #*204:ATG
+1021	2390308 - H37Rv	Rv2129c	747:ATG #*882:ATG 933:ATG
+833	2391215 - H37Rv	Rv2130c	1128:ATG 1215:GTG #*1245:ATG
+2366	2392517 - H37Rv	Rv2131c	708:GTG 801:GTG #*804:GTG 840:TTG
+6888	2393638 - H37Rv	x	#159:ATG
+5473	2393641 + H37Rv	Rv2132	#*231:ATG 249:TTG
+2782	2393851 - H37Rv	Rv2133c	534:ATG #*789:GTG 816:ATG 837:ATG
+5938	2394650 - H37Rv	Rv2134c	#*588:ATG
+4185	2395301 - H37Rv	Rv2135c	#*711:ATG
+103	2396008 - H37Rv	Rv2136c	*831:ATG #849:GTG
+1334	2396902 - H37Rv	Rv2137c	#309:ATG *414:ATG
+1145	2398406 + H37Rv	Rv2138	1026:ATG #*1077:TTG
+3587	2398684 + H37Rv	x	249:TTG #282:ATG
+1276	2399793 + H37Rv	Rv2139	1062:GTG #*1074:ATG 1113:CTG 1119:GTG
+2344	2399798 - H37Rv	Rv2140c	#*531:ATG
+1097	2400376 - H37Rv	Rv2141c	#*1347:GTG 1353:GTG
+2271	2402193 - H37Rv	Rv2142c	#*318:ATG
+932	2402507 - H37Rv	x	213:GTG #216:GTG
+#7001	2403046 - H37Rv	x	#105:ATG
+2027	2404035 + H37Rv	Rv2143	615:TTG #*1059:ATG
+2555	2404165 - H37Rv	Rv2144c	#*357:ATG
+2637	2404616 - H37Rv	Rv2145c	753:GTG #*783:ATG
+4846	2405666 - H37Rv	Rv2146c	288:GTG #*291:TTG 387:GTG
+623	2406118 - H37Rv	Rv2147c	621:ATG #657:ATG *726:GTG
+2567	2406840 - H37Rv	Rv2148c	#*777:ATG 786:ATG 795:GTG
+4054	2407622 - H37Rv	Rv2149c	708:GTG #*753:TTG 795:ATG 807:GTG
+4472	2408385 - H37Rv	Rv2150c	#*1140:ATG 1200:TTG 1206:TTG
+2877	2409697 - H37Rv	Rv2151c	867:TTG 909:GTG #*945:ATG
+2521	2410638 - H37Rv	Rv2152c	1449:GTG #*1485:GTG
+2583	2412119 - H37Rv	Rv2153c	900:GTG 1128:GTG #*1233:GTG
+2010	2413348 - H37Rv	Rv2154c	1335:GTG #*1575:GTG
+2424	2414934 - H37Rv	Rv2155c	867:ATG 1281:GTG 1410:GTG 1431:GTG #*1461:GTG 1470:GTG 1491:GTG
+2873	2416396 - H37Rv	Rv2156c	#*1080:ATG 1098:ATG
+1897	2417472 - H37Rv	Rv2157c	882:TTG 1176:GTG 1296:GTG 1320:GTG #*1533:ATG
+2122	2419001 - H37Rv	Rv2158c	1554:GTG 1566:GTG #*1608:GTG
+149	2420631 - H37Rv	Rv2159c	#*1035:ATG
+4692	2421643 - H37Rv	Rv2160A	#*636:ATG 672:ATG
+#5261	2421662 - H37Rv	Rv2160c	279:GTG #*342:GTG
+1321	2422271 - H37Rv	Rv2161c	681:GTG #*867:ATG
+1498	2423240 - H37Rv	Rv2162c	#*1599:ATG
+#1931	2424917 + H37Rv	x	#186:GTG
+517	2425048 - H37Rv	Rv2163c	1746:ATG 1818:GTG 1821:GTG #*2040:GTG
+3136	2427084 - H37Rv	Rv2164c	963:ATG 993:GTG #*1155:ATG
+2059	2428235 - H37Rv	Rv2165c	987:TTG 996:GTG #*1035:GTG 1191:GTG 1218:ATG 1278:ATG
+4139	2429427 - H37Rv	Rv2166c	#*432:ATG
+543:1	2430159 - H37Rv	x	465:GTG 492:GTG 645:CTG 837:GTG #885:TTG
+2048:1	2431094 - H37Rv	Rv2168c	270:ATG 276:GTG 291:CTG #*327:ATG
+#7348	2431097 + H37Rv	x	#204:GTG
+3834	2431565 - H37Rv	Rv2169c	210:ATG 378:ATG #*405:ATG
+2216	2432855 + H37Rv	Rv2170	585:ATG #*621:TTG
+4539	2433631 - H37Rv	Rv2172c	#*906:GTG 924:TTG 981:TTG
+2071	2433634 + H37Rv	Rv2171	660:ATG #*684:GTG 726:GTG
+2209	2435905 + H37Rv	Rv2173	#*1059:TTG
+5009	2437446 - H37Rv	Rv2175c	375:TTG #405:GTG *441:ATG 465:ATG
+1457	2437459 + H37Rv	Rv2174	1284:GTG 1416:GTG 1518:TTG #*1551:ATG
+919	2439140 + H37Rv	Rv2176	#*1200:GTG
+279	2439282 - H37Rv	Rv2177c	384:GTG 522:ATG 591:TTG 600:ATG #*666:ATG
+1023	2439881 - H37Rv	x	#183:ATG
+3839	2440332 - H37Rv	Rv2178c	1239:GTG #*1389:ATG
+3017	2441811 - H37Rv	Rv2179c	#*507:GTG
+3615	2442327 - H37Rv	Rv2180c	#*888:TTG 936:GTG 939:ATG
+3682	2444585 + H37Rv	Rv2181	1233:TTG 1236:GTG 1260:GTG #*1284:ATG
+4395	2444586 - H37Rv	Rv2182c	#*744:ATG
+392	2445415 - H37Rv	Rv2183c	318:GTG #*396:GTG 405:GTG
+4643	2445807 - H37Rv	Rv2184c	963:GTG *1140:TTG #1143:GTG 1188:CTG 1263:CTG
+1760	2447066 - H37Rv	Rv2185c	#*435:GTG
+3516	2447605 - H37Rv	Rv2186c	#*390:ATG
+1105	2449962 + H37Rv	Rv2187	1605:GTG #*1803:GTG 1812:GTG
+2922	2449993 - H37Rv	Rv2188c	819:GTG #*1158:GTG 1200:TTG
+2176	2451247 - H37Rv	Rv2189c	744:GTG #*774:GTG 834:TTG
+2732	2452115 - H37Rv	Rv2190c	#1119:ATG 1137:TTG *1158:TTG 1182:ATG 1215:TTG
+5596	2453458 - H37Rv	x	141:GTG 195:GTG 252:ATG #279:ATG
+4213	2455631 - H37Rv	Rv2192c	1044:GTG 1107:CTG #*1113:GTG
+4409	2455756 + H37Rv	Rv2191	1620:ATG 1914:ATG #*1938:GTG 1944:GTG
+3787	2457512 + H37Rv	Rv2193	543:ATG 567:GTG #*612:GTG
+1062	2458395 + H37Rv	Rv2194	537:GTG #759:GTG 834:CTG *843:TTG
+1876	2459681 + H37Rv	Rv2195	1212:GTG #*1290:ATG
+86	2461327 + H37Rv	Rv2196	1638:CTG #*1650:ATG 1668:CTG
+14	2461504 - H37Rv	Rv2197c	#*645:ATG
+30	2462148 - H37Rv	Rv2198c	690:GTG 807:TTG #*900:ATG
+1779	2463233 - H37Rv	Rv2199c	#*420:ATG
+5038	2463660 - H37Rv	Rv2200c	975:TTG 987:ATG #*1092:GTG
+723	2466955 + H37Rv	Rv2201	#*1959:GTG
+2407	2467053 - H37Rv	Rv2202c	#*975:GTG
+3384	2468923 + H37Rv	Rv2203	#*693:ATG
+4932	2468931 - H37Rv	Rv2204c	#*357:ATG
+3116	2469387 - H37Rv	Rv2205c	#*1077:ATG 1146:ATG 1287:ATG
+1063	2471332 + H37Rv	Rv2206	375:ATG 495:ATG #*711:GTG
+1388	2472496 + H37Rv	Rv2207	1014:TTG #*1086:ATG
+1428	2473242 + H37Rv	Rv2208	663:ATG 678:ATG 747:ATG #*750:GTG
+#7395	2473537 - H37Rv	x	#216:GTG
+#7245	2473841 - H37Rv	x	#522:GTG
+#6910	2474407 - H37Rv	x	#246:GTG
+#3693	2474700 + H37Rv	x	#1371:ATG
+3976	2474864 - H37Rv	Rv2210c	#*1107:ATG
+5793	2474938 + H37Rv	Rv2209	1197:TTG 1512:GTG #*1539:ATG
+1808	2476042 - H37Rv	Rv2211c	1095:GTG #1104:GTG *1140:GTG
+3628	2478326 + H37Rv	Rv2212	1125:TTG #*1137:GTG 1167:ATG
+#7399	2478355 - H37Rv	x	#300:ATG
+3312	2479885 + H37Rv	Rv2213	1215:GTG #*1548:GTG
+3234	2479923 - H37Rv	Rv2214c	1761:ATG #*1779:ATG
+1426	2483626 + H37Rv	Rv2215	921:GTG 1644:ATG #*1662:ATG 1731:GTG
+1800	2484531 + H37Rv	Rv2216	717:GTG #*906:ATG 909:GTG
+2785	2485276 + H37Rv	Rv2217	#*693:GTG 723:GTG
+2259	2486208 + H37Rv	Rv2218	#*936:ATG
+1692	2486987 + H37Rv	Rv2219	#*753:ATG
+2720:1	2486994 - H37Rv	Rv2219A	#*423:ATG 495:TTG
+1718	2489051 + H37Rv	Rv2220	#*1437:GTG
+515	2489369 - H37Rv	Rv2221c	2706:GTG #*2985:GTG
+626	2492402 - H37Rv	Rv2222c	#*1341:ATG 1359:GTG
+1649	2493837 - H37Rv	Rv2223c	1290:TTG 1554:ATG #*1563:ATG
+#6570	2495436 + H37Rv	x	#246:GTG
+542	2495461 - H37Rv	Rv2224c	1524:ATG 1557:ATG #*1563:GTG
+3590	2497225 - H37Rv	x	#192:TTG 222:CTG
+2392	2498587 + H37Rv	Rv2225	735:ATG #*846:ATG 849:GTG
+2735	2500373 + H37Rv	Rv2226	#*1542:ATG
+7322	2500732 + H37Rv	x	#339:TTG
+#5932	2501150 + H37Rv	x	#228:GTG 285:CTG
+#6274	2501336 - H37Rv	x	#303:GTG
+5606	2501632 + H37Rv	Rv2227	486:GTG #*702:GTG
+2116	2501644 - H37Rv	Rv2228c	927:TTG #*1095:GTG
+611	2502735 - H37Rv	Rv2229c	726:GTG #*738:ATG
+295	2503469 - H37Rv	Rv2230c	#*1140:ATG 1194:GTG
+1665	2504605 - H37Rv	Rv2231c	978:GTG 1047:GTG #*1095:GTG
+#5662	2505714 - H37Rv	x	#372:GTG
+6658	2505736 - H37Rv	x	#420:ATG
+#5414	2506082 - H37Rv	x	#117:GTG
+3805	2506207 - H37Rv	x	156:ATG #177:TTG
+5194	2507153 + H37Rv	Rv2232	633:GTG 759:TTG #*876:GTG
+5330	2507637 + H37Rv	Rv2234	435:ATG #*492:GTG
+3330	2508434 - H37Rv	Rv2236c	#*942:GTG 960:GTG
+3919	2508452 + H37Rv	Rv2235	585:GTG #*816:ATG
+1999	2510256 + H37Rv	Rv2237	729:GTG *768:ATG #816:ATG 891:ATG
+588	2510351 - H37Rv	x	126:ATG 192:GTG 198:GTG #237:GTG
+4369	2510715 - H37Rv	Rv2238c	309:TTG 348:TTG #*462:ATG
+2534	2511176 - H37Rv	Rv2239c	423:GTG #*477:ATG
+1909	2511690 - H37Rv	Rv2240c	456:ATG 591:GTG 648:ATG 699:GTG 786:GTG #*798:TTG
+3195	2515244 + H37Rv	Rv2241	*2706:GTG #2793:TTG
+481	2516548 + H37Rv	Rv2242	726:GTG #*1245:GTG
+2355	2517695 + H37Rv	Rv2243	#*909:GTG
+2693	2518118 + H37Rv	Rv2244	#*348:GTG
+83	2519365 + H37Rv	Rv2245	1209:GTG #*1251:GTG
+2638	2520712 + H37Rv	Rv2246	1155:TTG #1254:ATG *1317:GTG
+2688	2522164 + H37Rv	Rv2247	#*1422:ATG
+1254	2523175 + H37Rv	Rv2248	696:ATG #*816:ATG 888:GTG
+479	2523241 - H37Rv	Rv2249c	1545:ATG #*1551:GTG
+1392	2524785 - H37Rv	Rv2250c	354:GTG 489:GTG 561:ATG #*570:ATG 660:GTG
+#4938	2525821 + H37Rv	Rv2250A	#*420:ATG
+301	2526992 + H37Rv	Rv2251	777:CTG 861:GTG 1215:GTG #*1428:ATG
+524	2527918 + H37Rv	Rv2252	882:CTG 915:CTG #*930:ATG
+4011	2528487 + H37Rv	Rv2253	480:ATG #*504:ATG
+719	2528520 - H37Rv	Rv2254c	#*456:TTG 459:GTA
+4577	2528980 - H37Rv	Rv2255c	#*195:GTG
+2677	2529312 + H37Rv	x	#219:GTG 270:CTG
+409	2529341 - H37Rv	Rv2256c	513:ATG #*534:GTG
+902	2530004 - H37Rv	Rv2257c	648:GTG 804:GTG #*819:ATG
+411	2530836 - H37Rv	Rv2258c	#*1062:ATG
+1626	2533330 + H37Rv	Rv2259	990:GTG #*1086:ATG
+1325	2533965 + H37Rv	Rv2260	#*636:ATG 639:GTG
+4184	2534042 - H37Rv	Rv2261c	#*423:TTG 444:GTG
+6123	2534470 - H37Rv	Rv2262c	#*1083:ATG 1173:ATG
+480	2536572 - H37Rv	Rv2264c	1749:TTG #*1779:ATG
+1529	2536594 + H37Rv	Rv2263	#*954:ATG 963:GTG
+#6317	2537157 + H37Rv	x	264:GTG #468:GTG
+#1972	2538550 - H37Rv	x	87:TTG #96:GTG
+#3633	2538553 + H37Rv	x	#132:ATG
+4570	2539929 + H37Rv	Rv2265	1011:TTG #*1230:GTG
+1582	2541390 + H37Rv	Rv2266	#*1287:ATG
+2138	2541644 - H37Rv	Rv2267c	1071:TTG 1080:ATG #*1167:ATG
+3873	2542807 - H37Rv	Rv2268c	1182:ATG 1428:GTG #*1470:ATG
+6763	2544289 - H37Rv	Rv2269c	#*333:GTG
+#4500	2544378 - H37Rv	x	114:ATG 174:ATG #183:GTG
+#4205	2544564 + H37Rv	x	#144:GTG
+1749	2545225 + H37Rv	Rv2270	480:ATG #*528:ATG
+4819	2545631 + H37Rv	Rv2271	#*300:ATG
+830	2546105 + H37Rv	Rv2272	#*369:GTG
+4975	2546431 + H37Rv	Rv2273	#*330:GTG
+6817	2546488 - H37Rv	Rv2274c	#*318:ATG
+#6046	2546672 - H37Rv	x	153:GTG #171:TTG
+#6823	2546839 - H37Rv	x	#249:ATG
+#7189	2547033 - H37Rv	x	#96:ATG
+1942	2547752 + H37Rv	Rv2275	534:GTG 843:GTG 861:GTG #*870:ATG
+619	2548939 + H37Rv	Rv2276	#*1191:ATG
+3315	2549124 - H37Rv	Rv2277c	813:ATG #*906:ATG
+#7348	2550388 - H37Rv	x	#204:GTG
+2048:1	2550391 + H37Rv	Rv2278	270:ATG 276:GTG 291:CTG #*327:ATG
+543:1	2551326 + H37Rv	x	465:GTG 492:GTG 645:CTG 837:GTG #885:TTG
+152	2552939 + H37Rv	Rv2280	1191:GTG 1371:ATG #*1380:ATG 1392:GTG
+#5454	2553042 - H37Rv	x	#123:GTG
+3746	2554831 + H37Rv	Rv2281	1620:GTG #*1659:ATG
+862	2554938 - H37Rv	Rv2282c	786:GTG 921:ATG #*939:ATG
+#323	2555925 - H37Rv	x	222:ATG 249:ATG #297:GTG
+#3479	2556135 + H37Rv	Rv2283	#*195:ATG
+838	2557440 + H37Rv	Rv2284	1236:GTG #*1296:ATG
+236	2558810 + H37Rv	Rv2285	1014:ATG #*1338:GTG
+4178	2558877 - H37Rv	Rv2286c	684:GTG #*693:ATG 753:GTG
+#5115	2559634 - H37Rv	x	#171:GTG
+344	2561331 + H37Rv	Rv2287	1506:GTG 1593:GTG #*1629:ATG
+3906	2561705 + H37Rv	Rv2288	#*378:GTG
+2749	2562457 + H37Rv	Rv2289	735:GTG 747:TTG #*783:GTG 849:ATG
+2932	2563114 + H37Rv	Rv2290	#*516:TTG 573:GTG 579:TTG
+714	2564028 + H37Rv	Rv2291	807:ATG #*855:GTG
+1473	2564029 - H37Rv	Rv2292c	#*225:GTG
+2213	2564292 - H37Rv	Rv2293c	711:GTG #*741:GTG
+5147	2566550 + H37Rv	Rv2294	1164:ATG #*1224:GTG
+1384	2567410 + H37Rv	Rv2295	564:ATG #*639:ATG
+4315	2568406 + H37Rv	Rv2296	798:ATG #*903:ATG 930:GTG 951:TTG
+571	2568890 + H37Rv	Rv2297	447:ATG #*453:ATG
+839	2570053 + H37Rv	Rv2298	924:TTG #*972:ATG 1068:GTG
+445	2570059 - H37Rv	Rv2299c	#*1944:ATG
+4873	2572076 - H37Rv	Rv2300c	783:GTG #*933:ATG
+940	2573707 + H37Rv	Rv2301	543:GTG 660:ATG #*693:GTG
+1186	2574055 + H37Rv	Rv2302	#*243:ATG
+960	2574096 - H37Rv	Rv2303c	819:CTG #*924:ATG
+5368	2575016 - H37Rv	Rv2304c	#*210:ATG
+6038	2575608 - H37Rv	x	#180:GTG
+4497	2577098 + H37Rv	Rv2305	876:TTG #*1290:ATG
+#2211	2577194 - H37Rv	x	618:GTG #627:GTG
+4236	2577701 + H37Rv	Rv2306A	#*594:ATG
+1361	2577851 - H37Rv	Rv2307c	660:ATG 816:GTG 822:TTG #*846:ATG
+5340	2577922 + H37Rv	Rv2306B	342:ATG 426:GTG #*435:TTG
+#7618	2579003 + H37Rv	x	#111:GTG
+5233	2579228 - H37Rv	Rv2307A	123:GTG #*192:GTG
+6874	2579504 - H37Rv	Rv2307B	402:ATG #*432:GTG
+#7515	2580028 - H37Rv	Rv2307D	#*183:ATG
+5899	2580038 - H37Rv	x	189:GTG 216:ATG #240:CTG
+808	2581135 + H37Rv	Rv2308	#*717:ATG
+6251	2581424 - H37Rv	x	324:ATG #327:TTG
+1731	2581477 + H37Rv	x	270:TTG #333:ATG
+#5515	2581637 + H37Rv	x	#93:ATG 117:GTG
+3689	2581843 - H37Rv	Rv2309c	#*456:GTG
+#5050	2582315 - H37Rv	x	#126:GTG
+4345	2582477 - H37Rv	x	#168:ATG
+6586	2582675 - H37Rv	x	#156:GTG
+3353	2582827 - H37Rv	x	#165:GTG
+6187	2583332 + H37Rv	Rv2309A	#*288:TTG
+4856	2583429 + H37Rv	x	#153:ATG
+762	2583779 + H37Rv	Rv2310	342:GTG #*345:GTG
+4430	2584408 + H37Rv	Rv2311	#*525:GTG 531:GTG 597:GTG
+#4617	2584737 - H37Rv	x	#117:GTG
+5280	2584755 + H37Rv	Rv2312	#*270:ATG
+2056	2585052 - H37Rv	Rv2313c	813:GTG #*855:GTG
+4208	2585917 - H37Rv	Rv2314c	1164:GTG #*1374:ATG
+3503	2587287 - H37Rv	Rv2315c	1272:TTG #*1518:GTG
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+3396	2590521 + H37Rv	Rv2317	783:GTG #*825:ATG
+205	2591840 + H37Rv	Rv2318	#*1323:GTG
+89	2591848 - H37Rv	Rv2319c	783:GTG #*879:GTG
+4066	2592723 - H37Rv	Rv2320c	1380:GTG 1398:ATG 1416:ATG #*1431:TTG
+1006	2594154 - H37Rv	Rv2321c	#*546:ATG 552:GTG
+1539	2594699 - H37Rv	Rv2322c	633:ATG #*666:ATG 690:GTG
+4849	2595361 - H37Rv	Rv2323c	774:ATG 849:ATG #*909:ATG
+2909	2596780 + H37Rv	Rv2324	#*447:ATG
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+1629	2600479 + H37Rv	Rv2327	414:GTG 435:CTG #*492:ATG
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+1766	2603695 - H37Rv	Rv2330c	#*528:GTG
+3917	2604683 + H37Rv	Rv2331	#*387:GTG 588:GTG
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+4866	2605078 + H37Rv	Rv2331A	#*339:ATG
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+6950	2614656 + H37Rv	x	#210:ATG
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+4333	2619023 - H37Rv	x	#171:GTG
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+2790	2670269 - H37Rv	Rv2382c	#*1335:ATG 1341:GTG
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+3198	2827804 + H37Rv	Rv2511	#*648:GTG
+6663	2828252 + H37Rv	x	#402:ATG
+690	2828556 - H37Rv	Rv2512c	840:GTG 891:ATG 1140:ATG #*1248:ATG 1296:GTG 1311:GTG
+#5162	2829940 + H37Rv	x	#138:TTG
+3854	2830139 + H37Rv	x	156:GTG #186:ATG
+3477	2830583 + H37Rv	Rv2513	#*423:GTG
+7196	2830836 + H37Rv	x	#246:ATG
+4455	2830877 - H37Rv	Rv2514c	399:GTG #*462:GTG
+1809	2831344 - H37Rv	Rv2515c	1179:GTG 1200:ATG 1230:ATG #*1248:GTG
+3961	2832710 - H37Rv	Rv2516c	#*804:GTG 861:GTG
+6086	2833510 - H37Rv	Rv2517c	#*252:GTG 294:TTG
+6617	2833703 - H37Rv	x	#240:GTG
+1723	2834109 - H37Rv	Rv2518c	1143:ATG 1158:ATG #*1227:ATG 1248:GTG
+#6913	2835312 + H37Rv	x	#132:GTG
+3284	2837263 + H37Rv	Rv2519	1365:TTG #*1479:GTG 1506:ATG
+5998	2837388 - H37Rv	Rv2520c	#*228:GTG
+3344	2838129 - H37Rv	Rv2522c	1323:GTG 1344:CTG #*1413:GTG
+1604	2838157 + H37Rv	Rv2521	#*474:GTG
+#7084	2839499 + H37Rv	x	#399:ATG
+3173	2839538 - H37Rv	Rv2523c	216:GTG 378:GTG #*393:ATG 420:CTG
+728	2840123 - H37Rv	Rv2524c	#*9210:GTG
+6172	2849821 + H37Rv	x	#246:GTG
+5047	2849852 - H37Rv	Rv2525c	672:GTG 702:GTG #*723:ATG
+6330	2850910 + H37Rv	x	#336:ATG
+2152	2851318 + H37Rv	Rv2526	186:GTG #*228:ATG
+#7071	2851594 - H37Rv	x	#96:TTG
+4957	2851716 + H37Rv	Rv2527	#*402:ATG 408:GTG
+4027	2851751 - H37Rv	Rv2528c	759:ATG #*921:ATG
+#1156	2853012 - H37Rv	x	#225:GTG
+1799	2854266 + H37Rv	Rv2529	951:GTG 1011:ATG #*1392:GTG
+5022	2854267 - H37Rv	Rv2530c	#*420:GTG
+3009	2854683 - H37Rv	Rv2530A	#*225:ATG
+2892	2854938 - H37Rv	Rv2531c	#*2844:ATG
+4083	2857853 - H37Rv	Rv2532c	#*402:ATG 405:GTG
+1583	2858254 - H37Rv	Rv2533c	420:GTG #*471:ATG
+4903	2858727 - H37Rv	Rv2534c	456:GTG #*564:GTG
+3883	2859300 - H37Rv	Rv2535c	1056:ATG #*1119:GTG
+268	2861144 + H37Rv	Rv2536	681:ATG #*693:ATG 699:ATG
+5443	2861148 - H37Rv	Rv2537c	#*444:ATG
+2835	2861588 - H37Rv	Rv2538c	#*1089:ATG
+866	2862673 - H37Rv	Rv2539c	285:GTG 342:GTG #*531:ATG
+451	2863207 - H37Rv	Rv2540c	720:GTG 1038:GTG 1161:GTG 1203:TTG #*1206:GTG 1239:GTG
+2482	2864834 + H37Rv	Rv2541	309:GTG 315:GTG #*408:ATG
+#6329	2864945 - H37Rv	x	#129:ATG
+6956	2866253 - H37Rv	x	#228:GTG
+1337:1	2866341 + H37Rv	Rv2542	798:GTG 1062:GTG #*1212:GTG
+1206	2867127 + H37Rv	Rv2543	492:ATG 558:ATG 597:ATG #*660:GTG
+1206	2867786 + H37Rv	Rv2544	495:ATG 561:ATG 600:ATG #*663:TTG
+2020:1	2868061 + H37Rv	Rv2545	#*279:GTG 306:TTG
+3480	2868567 + H37Rv	Rv2546	339:TTG 411:GTG #*414:ATG 417:GTG
+2572	2868863 + H37Rv	Rv2547	246:GTG #*258:ATG 273:ATG
+4516	2869237 + H37Rv	Rv2548	#*378:GTG
+5415:1	2869253 - H37Rv	x	#375:GTG
+4666	2869727 - H37Rv	Rv2549c	#*396:ATG
+5426	2870119 - H37Rv	Rv2550c	222:GTG #*246:ATG
+7391	2870137 + H37Rv	x	#558:TTG
+6240	2870482 - H37Rv	x	#210:TTG
+22	2870775 - H37Rv	Rv2551c	405:GTG #*420:ATG
+1475	2871206 - H37Rv	Rv2552c	414:GTG #*810:ATG
+#97	2871905 + H37Rv	x	#201:GTG
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+4450	2873258 - H37Rv	Rv2554c	369:GTG 429:GTG #*513:GTG
+2235	2873771 - H37Rv	Rv2555c	2394:CTG 2460:ATG #*2715:GTG
+2028	2876576 - H37Rv	Rv2556c	*390:GTG #402:GTG
+1398	2877746 + H37Rv	Rv2557	387:ATG 498:TTG 621:GTG 639:ATG #*675:TTG
+396	2878541 + H37Rv	Rv2558	546:ATG 624:GTG #*711:TTG
+1905	2878571 - H37Rv	Rv2559c	#*1359:ATG
+6806	2880965 - H37Rv	x	#324:GTG
+1280	2881052 + H37Rv	Rv2560	672:GTG 738:GTG #*978:ATG
+5774	2881307 - H37Rv	x	165:GTG #189:GTG
+2490	2881702 + H37Rv	Rv2561	#*294:ATG
+560	2882147 + H37Rv	Rv2562	#*390:GTG 507:ATG 531:CTG
+#6767	2882250 - H37Rv	x	#573:GTG
+664	2883339 + H37Rv	Rv2563	#*1050:ATG 1167:ATG
+3413	2884334 + H37Rv	Rv2564	#*993:ATG
+1271	2886362 + H37Rv	Rv2565	#*1752:ATG
+1754	2889795 + H37Rv	Rv2566	#3342:ATG 3360:GTG 3402:GTG *3423:GTG 3471:GTG
+2121	2892446 - H37Rv	Rv2568c	#*1026:ATG 1056:ATG
+3791	2892449 + H37Rv	Rv2567	1878:GTG #*2655:ATG 2973:GTG
+2845	2893464 - H37Rv	Rv2569c	915:TTG 927:TTG #*945:TTG
+1160	2894893 - H37Rv	Rv2571c	669:GTG 1011:TTG #*1068:ATG
+1879	2894901 + H37Rv	Rv2570	360:GTG #*390:GTG
+#7261	2895945 + H37Rv	x	#348:TTG
+2606	2896013 - H37Rv	Rv2572c	1731:GTG 1785:GTG #*1791:GTG
+#3388	2898691 + H37Rv	x	#384:GTG
+189	2898783 + H37Rv	Rv2573	741:GTG 804:CTG #*828:TTG
+5091	2899309 + H37Rv	Rv2574	297:ATG 402:GTG #*504:ATG
+5479	2900220 + H37Rv	Rv2575	#*882:ATG
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+1567	2902507 + H37Rv	Rv2577	1305:ATG 1398:GTG #*1590:GTG
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+3325	2904541 + H37Rv	Rv2579	#*903:ATG
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+961	2904821 - H37Rv	Rv2580c	#*1272:GTG
+4180	2906089 - H37Rv	Rv2581c	648:TTG #*675:GTG 741:GTG
+1719	2907740 + H37Rv	Rv2582	756:GTG 879:GTG #*927:ATG
+3088	2907826 - H37Rv	Rv2583c	2217:ATG #*2373:GTG 2382:GTG
+2272	2910229 - H37Rv	Rv2584c	516:GTG 639:GTG #*672:GTG
+1394	2911004 - H37Rv	Rv2585c	1611:TTG #*1674:GTG
+2599	2912683 - H37Rv	Rv2586c	1251:GTG #*1329:ATG
+907	2914015 - H37Rv	Rv2587c	1701:GTG #*1722:GTG
+4912	2915846 - H37Rv	Rv2588c	#*348:ATG
+6633	2916222 - H37Rv	x	#210:GTG
+1792	2917709 + H37Rv	Rv2589	1122:GTG #*1350:GTG
+3483	2921377 + H37Rv	Rv2590	2130:ATG 3027:ATG 3282:ATG #*3507:ATG
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+3643	2923182 + H37Rv	Rv2591	1518:GTG 1605:ATG #*1632:ATG 1662:GTG
+1624	2923199 - H37Rv	Rv2592c	837:TTG #*1035:ATG
+4154	2924230 - H37Rv	Rv2593c	#*591:ATG
+2367	2924817 - H37Rv	Rv2594c	558:ATG 561:GTG #*567:GTG
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+5152	2926138 + H37Rv	Rv2596	384:GTG #*405:GTG
+6840	2926175 - H37Rv	x	#363:GTG
+2666	2926975 + H37Rv	Rv2597	369:TTG 489:ATG #*621:GTG
+1399	2927480 + H37Rv	Rv2598	435:GTG 465:GTG #*495:GTG
+4231	2927908 + H37Rv	Rv2599	#*432:ATG
+5585	2928391 + H37Rv	Rv2600	#*402:GTG
+1238	2929959 + H37Rv	Rv2601	1419:GTG 1515:GTG #*1572:ATG
+4115	2930357 + H37Rv	Rv2601A	#*288:ATG
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+3578	2930805 - H37Rv	Rv2603c	#*756:ATG
+1406	2931693 - H37Rv	Rv2604c	#*597:GTG
+996	2932297 - H37Rv	Rv2605c	#*846:GTG
+3850	2933171 - H37Rv	Rv2606c	#*900:ATG 921:GTG
+2792	2934872 + H37Rv	Rv2607	#*675:ATG
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+1182	2936788 + H37Rv	Rv2608	1551:ATG 1590:TTG 1644:TTG #*1743:ATG
+5539	2936810 - H37Rv	Rv2609c	1047:CTG #*1056:ATG
+5235	2937865 - H37Rv	Rv2610c	1089:GTG #*1137:ATG
+2869	2939012 - H37Rv	Rv2611c	516:ATG #*951:GTG
+4993	2939959 - H37Rv	Rv2612c	531:GTG #*654:ATG 669:GTG
+3051	2940609 - H37Rv	Rv2613c	#*588:GTG
+562	2941189 - H37Rv	Rv2614c	#*2079:ATG 2094:TTG 2376:TTG
+391	2943600 - H37Rv	Rv2615c	1161:GTG #*1386:ATG 1431:GTG
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+#6883	2944211 + H37Rv	x	#201:TTG
+#863	2945055 + H37Rv	x	#177:GTG
+101	2945830 + H37Rv	Rv2616	285:GTG 348:ATG #*501:GTG
+3895	2945847 - H37Rv	Rv2617c	369:TTG #*441:ATG
+4223	2947096 - H37Rv	Rv2619c	#*354:ATG
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+#6210	2947476 + H37Rv	x	#411:GTG
+3199	2947884 - H37Rv	Rv2621c	618:GTG #*675:ATG
+#7531	2948534 + H37Rv	x	#453:TTG
+3156	2949457 + H37Rv	Rv2622	#*822:ATG 831:GTG
+3286	2950486 + H37Rv	Rv2623	#*894:ATG
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+5345	2951322 - H37Rv	Rv2625c	#*1182:ATG
+3596	2952562 - H37Rv	Rv2626c	270:GTG #*432:ATG
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+#7407	2953917 + H37Rv	x	#102:GTG
+#7011	2954790 - H37Rv	x	#111:GTG
+587	2955420 + H37Rv	Rv2628	273:GTG #*363:ATG
+853	2956891 + H37Rv	Rv2629	#*1125:ATG
+4302	2957432 + H37Rv	Rv2630	375:TTG 393:GTG 495:TTG #*540:ATG
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+3318	2958870 + H37Rv	Rv2631	1122:TTG 1203:GTG #*1299:ATG 1302:TTG 1323:GTG
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+966	2959335 - H37Rv	Rv2633c	267:GTG #*486:GTG
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+#6296	2960095 + H37Rv	x	#198:GTG
+1756	2960105 - H37Rv	Rv2634c	1626:GTG 2223:GTG 2301:ATG #*2337:ATG 2367:ATG
+#5434	2960228 + H37Rv	x	147:ATG #150:GTG
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+#2500	2961541 + H37Rv	x	#606:GTG
+4634	2962712 + H37Rv	Rv2635	#*243:ATG 381:GTG
+#6899	2963196 - H37Rv	x	#129:ATG
+1901	2963390 + H37Rv	Rv2636	462:GTG 558:TTG 621:ATG 630:ATG #*678:GTG
+3664	2964242 + H37Rv	Rv2637	#*657:ATG
+3582	2964851 + H37Rv	Rv2638	327:TTG #*447:ATG
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+4114	2965478 - H37Rv	Rv2640c	267:GTG #*360:ATG
+5685	2966397 + H37Rv	Rv2641	#*459:ATG
+88	2966913 + H37Rv	Rv2642	327:GTG #*381:ATG
+672	2968406 + H37Rv	Rv2643	1230:CTG 1293:ATG 1458:GTG #*1497:ATG
+#3896	2968533 - H37Rv	Rv2644c	#*318:ATG
+2631	2968832 + H37Rv	x	291:GTG 309:GTG #423:GTG
+#4551	2969078 + H37Rv	x	96:ATG #132:GTG
+1241	2970554 + H37Rv	Rv2645	#*432:ATG
+550	2971549 + H37Rv	Rv2646	888:CTG #*999:GTG
+2220	2972027 + H37Rv	Rv2647	342:GTG *369:GTG #465:TTG
+#7348	2972483 - H37Rv	x	#204:GTG
+2048:1	2972486 + H37Rv	Rv2648	270:ATG 276:GTG 291:CTG #*327:ATG
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+#5542	2973448 - H37Rv	x	#186:GTG
+6179	2973624 + H37Rv	x	#207:CTG
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+1143	2975928 - H37Rv	Rv2652c	333:ATG 492:ATG 501:GTG 504:GTG #*627:TTG
+3222	2976586 - H37Rv	Rv2653c	#*324:TTG 417:GTG
+541	2976989 - H37Rv	Rv2654c	#*246:ATG
+1046	2977231 - H37Rv	Rv2655c	#*1428:ATG 1461:GTG
+3975	2978660 - H37Rv	Rv2656c	267:GTG 282:GTG #*393:ATG
+3419	2979049 - H37Rv	Rv2657c	198:ATG #*261:ATG
+5021	2979326 - H37Rv	Rv2658c	*363:ATG #366:ATG 369:GTG
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+2619	2980963 - H37Rv	Rv2660c	#*228:GTG 330:TTG 468:GTG
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+#4677	2981489 + H37Rv	x	#159:ATG
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+5615	2982086 + H37Rv	Rv2663	#*234:GTG
+3637	2982351 + H37Rv	Rv2664	#*255:GTG
+#6409	2982580 - H37Rv	x	#492:TTG
+#6020	2982678 - H37Rv	x	#216:ATG
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+2496	2985254 + H37Rv	Rv2668	#*522:ATG 567:GTG
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+3797	2985753 + H37Rv	Rv2669	#*471:GTG
+3395	2987615 + H37Rv	Rv2671	720:GTG #*777:ATG
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+2141	2990592 + H37Rv	Rv2673	1245:TTG 1287:GTG #*1302:GTG
+2875	2991116 + H37Rv	Rv2674	#*411:ATG
+1526	2991184 - H37Rv	Rv2675c	678:TTG #*753:ATG
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+3224	2992634 - H37Rv	Rv2677c	687:CTG 690:GTG 720:GTG 801:GTG 1068:TTG 1155:ATG 1314:TTG #*1359:ATG
+496	2993989 - H37Rv	Rv2678c	#*1074:ATG 1092:GTG 1101:GTG 1119:ATG
+2258	2995945 + H37Rv	Rv2679	#*831:ATG 969:ATG
+188	2996737 + H37Rv	Rv2680	378:ATG 537:ATG 582:TTG #*633:TTG 684:TTG 735:GTG
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+2744	2998055 + H37Rv	Rv2681	759:GTG 1215:GTG 1251:TTG #*1317:ATG 1407:ATG
+3826	3000115 + H37Rv	x	#156:TTG
+944	3000609 + H37Rv	Rv2683	444:ATG #*498:ATG
+143	3001903 + H37Rv	Rv2684	#*1290:GTG
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+3207	3007236 - H37Rv	Rv2690c	#*1974:GTG
+816	3010027 + H37Rv	Rv2691	#*684:ATG 765:ATG
+1484	3010686 + H37Rv	Rv2692	633:GTG #*663:ATG
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+1633	3012623 + H37Rv	Rv2695	678:GTG #*708:ATG
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+#5762	3017738 - H37Rv	x	273:TTG 312:ATG #402:TTG
+811	3019421 + H37Rv	Rv2703	1134:GTG 1242:CTG #*1587:GTG 1593:GTG
+6399	3019814 - H37Rv	Rv2705c	384:ATG #*390:GTG 393:GTG
+4613	3019886 + H37Rv	Rv2704	411:ATG #*429:ATG
+7454	3020200 - H37Rv	Rv2706c	#*258:GTG
+1010	3020511 + H37Rv	x	117:GTG #189:ATG
+5073	3021547 + H37Rv	Rv2707	#*975:ATG
+108	3021548 - H37Rv	Rv2708c	#240:ATG *249:ATG 288:GTG 318:GTG
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+290	3023432 + H37Rv	Rv2710	894:GTG #*972:ATG 1002:ATG 1038:GTG
+5211	3024257 + H37Rv	Rv2711	#*693:ATG
+200	3024270 - H37Rv	Rv2712c	#*1059:ATG 1068:GTG 1083:GTG
+357	3026847 + H37Rv	Rv2713	924:GTG #*1407:ATG 1416:ATG
+1537	3028039 + H37Rv	Rv2714	918:ATG #*975:ATG
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+3515	3029858 + H37Rv	Rv2716	453:GTG #*687:ATG
+419	3029867 - H37Rv	Rv2717c	#*495:ATG 519:ATG
+2460	3030413 - H37Rv	Rv2718c	#*465:ATG 501:GTG
+2261	3031040 - H37Rv	Rv2719c	291:GTG 339:ATG #*498:ATG
+2358	3032498 + H37Rv	Rv2720	*654:GTG #711:ATG 747:TTG
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+5721	3034883 + H37Rv	Rv2722	#*249:ATG 285:TTG
+293	3036102 + H37Rv	Rv2723	#*1194:ATG 1215:GTG
+2032	3036131 - H37Rv	Rv2724c	#*1161:ATG 1263:GTG
+1129	3037427 - H37Rv	Rv2725c	1431:ATG #*1488:ATG
+3092	3038931 - H37Rv	Rv2726c	#*870:ATG 879:GTG
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+4218	3040766 - H37Rv	Rv2728c	612:TTG 693:TTG #*696:GTG
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+1569	3044375 - H37Rv	Rv2732c	429:TTG 612:ATG #*615:ATG 621:ATG
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+#7161	3046903 + H37Rv	x	#99:ATG
+#5842	3047355 - H37Rv	x	#129:TTG
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+926	3052023 - H37Rv	Rv2739c	#*1167:ATG 1263:ATG
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+6333	3053855 + H37Rv	x	#267:GTG
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+4247	3081119 - H37Rv	Rv2772c	#*474:ATG 477:GTG
+5566	3081604 - H37Rv	Rv2773c	570:GTG #*738:ATG 747:GTG
+4483	3082352 - H37Rv	Rv2774c	234:ATG 282:ATG #*405:GTG 414:TTG
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+844	3083374 - H37Rv	Rv2776c	594:GTG *930:GTG 1077:GTG #1092:ATG
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+27	3086215 - H37Rv	Rv2779c	396:ATG 438:GTG 516:ATG #*540:ATG 546:TTG
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+4326	3232871 - H37Rv	Rv2921c	903:TTG #*1269:GTG
+6917	3232874 + H37Rv	x	#237:GTG
+813	3234189 - H37Rv	Rv2922c	1860:ATG 2415:ATG 2424:GTG #*3618:GTG
+4420	3237818 - H37Rv	Rv2922A	#*282:ATG
+2997	3238086 - H37Rv	Rv2923c	345:GTG #*414:ATG
+2481	3238601 - H37Rv	Rv2924c	#*870:ATG 915:ATG 921:ATG
+#6004	3238637 + H37Rv	x	#147:TTG
+6194	3239515 - H37Rv	x	#192:TTG
+#4765	3239587 + H37Rv	x	111:ATG #114:GTG
+#7597	3239745 + H37Rv	x	#159:ATG
+3000	3239829 - H37Rv	Rv2925c	426:GTG 567:CTG 597:TTG #*723:ATG
+1677	3240548 - H37Rv	Rv2926c	540:ATG 552:GTG 588:ATG #*624:GTG
+4175	3241222 - H37Rv	Rv2927c	*738:GTG #744:GTG
+2147	3242983 + H37Rv	Rv2928	#*786:ATG 792:GTG
+4858	3243281 + H37Rv	Rv2929	#*312:ATG
+#4834	3243979 - H37Rv	x	#231:TTG
+1675	3245448 + H37Rv	Rv2930	1161:ATG 1200:GTG 1746:GTG #*1752:ATG 1881:GTG
+#7593	3249624 - H37Rv	x	#99:ATG
+1152	3251075 + H37Rv	Rv2931	#*5631:ATG
+1741	3255688 + H37Rv	Rv2932	4584:ATG 4614:ATG #*4617:GTG
+2382	3262251 + H37Rv	Rv2933	3864:GTG #*6567:ATG
+#7122	3264558 - H37Rv	x	#672:GTG
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+748	3272203 + H37Rv	Rv2935	3204:GTG 4044:GTG 4431:ATG 4440:GTG #*4467:GTG
+1866	3273209 + H37Rv	Rv2936	#*996:ATG 1017:ATG
+2737	3274075 + H37Rv	Rv2937	771:GTG 777:ATG #*870:ATG
+3472	3274902 + H37Rv	Rv2938	738:TTG #*831:ATG
+186	3276217 + H37Rv	Rv2939	1254:GTG #*1269:ATG
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+871	3285077 + H37Rv	Rv2941	1668:ATG #*1743:ATG 1764:GTG
+5281	3287786 - H37Rv	x	114:GTG #216:TTG
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+2925	3288026 - H37Rv	x	#171:GTG
+2354	3289705 + H37Rv	Rv2943	#*1242:ATG
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+1444	3290506 + H37Rv	Rv2944	#384:GTG 540:ATG *717:GTG
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+669	3297837 - H37Rv	Rv2948c	#*2118:ATG
+1094	3299971 - H37Rv	Rv2949c	#*600:ATG 639:ATG
+3941	3300596 - H37Rv	Rv2950c	1512:ATG 1605:ATG #*1749:ATG 1860:ATG
+2362	3302932 + H37Rv	x	#318:ATG
+4899	3303103 - H37Rv	Rv2951c	1068:ATG #*1146:GTG
+3690	3305253 + H37Rv	Rv2952	729:TTG #*813:ATG 819:TTG
+1468	3306535 + H37Rv	Rv2953	#*1257:ATG
+1344	3306666 - H37Rv	Rv2954c	600:GTG 711:ATG #*726:ATG
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+4225	3309399 + H37Rv	Rv2956	#*732:GTG
+#7377	3309510 + H37Rv	x	#111:TTG
+#5663	3310272 - H37Rv	x	108:GTG #141:TTG
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+1657	3310445 - H37Rv	x	#207:GTG
+1163	3310714 - H37Rv	Rv2958c	#*1287:ATG
+1059	3312101 - H37Rv	Rv2959c	570:ATG 630:GTG 675:GTG 696:CTG #*738:ATG
+5151	3312953 - H37Rv	Rv2960c	#*249:GTG 351:ATG
+6957	3313316 - H37Rv	x	#414:GTG
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+1548	3313773 - H37Rv	Rv2962c	819:GTG 828:CTG 1005:ATG 1197:GTG 1287:GTG #*1350:GTG
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+3115	3317461 + H37Rv	Rv2964	918:ATG #*933:ATG
+7384	3317985 + H37Rv	x	#519:GTG
+5719	3318286 + H37Rv	x	#186:ATG 243:TTG 372:CTG
+557	3318330 - H37Rv	Rv2965c	#*486:ATG
+3573	3318901 - H37Rv	Rv2966c	486:GTG #*567:TTG
+133	3319663 - H37Rv	Rv2967c	#*3384:GTG
+3614	3323071 - H37Rv	Rv2968c	630:GTG #*633:GTG
+2364	3323709 - H37Rv	Rv2969c	#*768:GTG 786:GTG
+4250	3324573 - H37Rv	Rv2970c	930:ATG 1059:GTG 1074:ATG #*1131:ATG
+#2602	3325940 + H37Rv	x	#114:GTG
+7352	3326104 + H37Rv	Rv2970A	#*171:GTG
+4174	3326949 + H37Rv	Rv2971	549:TTG 789:ATG #*849:GTG
+6025	3327023 - H37Rv	Rv2972c	#*714:ATG
+174	3327733 - H37Rv	Rv2973c	#*2214:GTG
+#7524	3329937 + H37Rv	x	#96:GTG
+2571	3329949 - H37Rv	Rv2974c	1386:GTG #*1413:TTG
+284	3331358 - H37Rv	Rv2975c	#*255:GTG 279:GTG
+4931	3332048 + H37Rv	x	#195:ATG
+2819	3332071 - H37Rv	Rv2976c	#*684:GTG
+4470	3332787 - H37Rv	Rv2977c	#*1002:GTG
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+5446	3335164 - H37Rv	Rv2979c	426:GTG #*585:ATG
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+5343	3336505 + H37Rv	Rv2980	480:GTG #*546:GTG 576:GTG 645:GTG
+4035	3336681 + H37Rv	x	#177:GTG
+4035	3336740 + H37Rv	x	#177:GTG
+1237	3336796 - H37Rv	Rv2981c	1077:GTG #*1122:GTG
+1869	3337995 - H37Rv	Rv2982c	#*1005:ATG 1011:GTG
+4958	3339762 + H37Rv	Rv2983	#*645:ATG 672:GTG 681:GTG
+823	3342082 + H37Rv	Rv2984	2226:ATG #*2229:ATG
+3953	3343118 + H37Rv	Rv2985	696:GTG #*954:GTG
+408	3343176 - H37Rv	Rv2986c	#*645:ATG
+2622	3344033 - H37Rv	Rv2987c	564:GTG #*597:ATG
+5133	3344654 - H37Rv	Rv2988c	#*1422:ATG
+371	3346848 + H37Rv	Rv2989	#*702:GTG 804:GTG
+2844	3346859 - H37Rv	Rv2990c	498:TTG 840:ATG 855:GTG #*861:ATG 927:TTG
+#7481	3347528 + H37Rv	x	#96:ATG
+#5889	3347819 + H37Rv	x	#129:TTG
+1415	3348473 + H37Rv	Rv2991	#*492:ATG
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+1028	3352458 - H37Rv	Rv2995c	#*1011:ATG 1029:GTG
+232	3352606 + H37Rv	Rv2994	1317:GTG #*1338:ATG
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+#7280	3355004 + H37Rv	x	#231:ATG
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+3473	3356733 - H37Rv	x	#201:ATG 228:GTG 246:GTG 300:GTG
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+5715	3357276 + H37Rv	Rv2998	345:ATG 366:ATG 390:ATG #*462:GTG
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+2956	3359271 + H37Rv	Rv3000	#*660:ATG
+3708	3359320 - H37Rv	x	#219:GTG
+792	3359585 - H37Rv	Rv3001c	#*1002:ATG 1014:GTG
+4436	3360624 - H37Rv	Rv3002c	#*507:ATG 510:CTG
+965	3361130 - H37Rv	Rv3003c	1389:ATG #*1857:GTG
+#6253	3362705 + H37Rv	x	#120:GTG
+#7191	3362962 + H37Rv	x	#267:GTG
+#7078	3363119 - H37Rv	x	#636:GTG
+3735	3363686 + H37Rv	Rv3004	276:GTG 297:GTG #*339:ATG 378:GTG
+4416	3363693 - H37Rv	Rv3005c	786:ATG #*840:GTG
+12	3365830 + H37Rv	Rv3006	918:GTG #*1122:ATG 1185:ATG 1275:GTG
+3262	3365836 - H37Rv	Rv3007c	441:ATG 552:ATG 555:TTG 579:GTG #*615:GTG 711:GTG
+#6222	3366411 - H37Rv	x	#108:GTG
+1575	3367264 - H37Rv	Rv3009c	1347:GTG #*1530:ATG
+1226	3367267 + H37Rv	Rv3008	453:GTG 489:GTG 579:GTG #*624:ATG
+1687	3368823 - H37Rv	Rv3010c	#*1032:ATG 1077:GTG
+3818	3369950 - H37Rv	Rv3011c	#*1485:GTG
+2283	3371431 - H37Rv	Rv3012c	153:GTG #*300:GTG
+4244	3372471 + H37Rv	Rv3013	*657:GTG #666:GTG 723:GTG
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+5890	3374651 - H37Rv	Rv3015c	#*1014:GTG
+2926	3376387 + H37Rv	Rv3016	429:ATG 627:GTG #*630:ATG
+1542	3376490 - H37Rv	Rv3017c	351:ATG #*363:GTG 366:GTG
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+#5320	3378240 - H37Rv	x	#93:TTG
+5872	3378329 - H37Rv	Rv3018A	#*87:GTG 147:TTG 174:CTG 204:GTG 285:ATG
+5512	3378495 - H37Rv	x	168:ATG #177:GTG
+5676	3378711 - H37Rv	Rv3019c	#*291:ATG
+2123	3379036 - H37Rv	Rv3020c	222:ATG #*294:ATG 297:GTG 309:TTG
+2203	3379376 - H37Rv	Rv3021c	#*1077:GTG
+789:3	3380224 - H37Rv	x	447:GTG #459:GTG
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+2615	3382785 - H37Rv	Rv3024c	1086:ATG #*1104:ATG
+1332	3383885 - H37Rv	Rv3025c	#*1182:ATG
+826	3385163 - H37Rv	Rv3026c	519:GTG 852:GTG 882:TTG #*915:ATG
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+3872	3387075 - H37Rv	Rv3028c	#*957:ATG
+3231	3388070 - H37Rv	Rv3029c	789:GTG #*801:ATG 861:GTG
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+1286	3392778 + H37Rv	Rv3032	1233:ATG #*1245:ATG
+4187	3393201 + H37Rv	x	294:GTG 330:ATG #390:GTG
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+2591	3396458 - H37Rv	Rv3036c	537:ATG #*684:ATG
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+4981	3397214 - H37Rv	Rv3037c	#*1077:GTG
+3168	3398425 - H37Rv	Rv3038c	#*984:ATG
+4881	3399419 - H37Rv	Rv3039c	*765:GTG 777:GTG #786:GTG
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+1136	3401055 - H37Rv	Rv3041c	846:GTG #*864:ATG
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+#5562	3405204 - H37Rv	x	#207:ATG
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+2396	3407325 + H37Rv	Rv3045	#*1041:ATG
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+75	3408022 - H37Rv	Rv3047c	#*285:ATG 297:TTG
+5250	3408404 - H37Rv	Rv3048c	#*975:GTG
+3968	3409509 - H37Rv	Rv3049c	1473:TTG #*1575:GTG
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+4713	3415435 - H37Rv	Rv3054c	#*555:GTG 585:GTG
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+3726	3420970 + H37Rv	Rv3059	1380:ATG #*1479:ATG
+5113	3421430 + H37Rv	x	#153:ATG
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+1057	3429825 - H37Rv	Rv3064c	381:GTG 423:GTG #*426:ATG
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+4591	3431315 + H37Rv	Rv3066	#*609:TTG
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+5356	3434467 + H37Rv	Rv3070	357:GTG #*381:ATG
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+4332	3436329 - H37Rv	Rv3073c	#*357:ATG
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+458	3438050 - H37Rv	Rv3075c	540:GTG #915:ATG *924:ATG
+336	3438053 + H37Rv	Rv3074	#*1275:ATG 1299:GTG
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+2865	3441352 + H37Rv	Rv3077	#*1812:ATG
+4004	3441754 + H37Rv	Rv3078	261:GTG #*402:TTG
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+300	3442656 - H37Rv	Rv3080c	2424:GTG #*3333:ATG
+3951	3447278 + H37Rv	Rv3081	1116:ATG 1140:TTG #*1239:GTG 1311:GTG
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+3918	3449991 + H37Rv	Rv3083	#*1488:ATG
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+4835	3451750 + H37Rv	Rv3085	#*831:ATG
+5324	3452887 + H37Rv	Rv3086	#*1107:ATG
+1786	3454343 + H37Rv	Rv3087	#*1419:ATG 1422:ATG
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+2043	3457272 + H37Rv	Rv3089	#*1512:ATG
+#3008	3457359 - H37Rv	x	#108:GTG
+6980	3457764 + H37Rv	x	#213:TTG
+3584	3457769 - H37Rv	x	#303:GTG
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+1445	3461760 - H37Rv	Rv3093c	#*1005:ATG
+1135	3462761 - H37Rv	Rv3094c	#*1131:GTG 1161:TTG 1188:ATG
+3704	3464449 + H37Rv	Rv3095	#*477:ATG
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+6448	3467210 - H37Rv	Rv3098c	#*453:GTG 744:GTG
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+3229	3467926 + H37Rv	x	198:GTG 318:GTG #321:GTG
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+2903	3469786 - H37Rv	Rv3101c	#*894:GTG
+5177	3470680 - H37Rv	Rv3102c	#*690:ATG 693:GTG
+4255	3471413 - H37Rv	Rv3103c	#*438:GTG 477:ATG
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+4126	3471852 - H37Rv	Rv3104c	819:ATG #*927:ATG
+164	3472768 - H37Rv	Rv3105c	1116:GTG #*1137:ATG
+929	3475377 + H37Rv	Rv3106	1128:GTG #*1371:ATG
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+6192	3477500 + H37Rv	Rv3108	#*441:ATG 510:ATG
+887	3478728 + H37Rv	Rv3109	948:ATG 1005:ATG 1008:ATG 1035:GTG 1056:ATG #*1080:ATG 1107:GTG
+2049	3479174 + H37Rv	Rv3110	243:ATG 312:CTG #*396:ATG 429:TTG
+3697	3479683 + H37Rv	Rv3111	459:ATG #*513:ATG
+3945	3479951 + H37Rv	Rv3112	#*252:ATG
+2232	3480742 + H37Rv	Rv3113	474:TTG #*669:ATG
+3216	3481289 + H37Rv	Rv3114	486:GTG #*531:GTG 564:GTG
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+690	3482698 + H37Rv	Rv3115	840:GTG 891:ATG 1140:ATG #*1248:ATG 1296:GTG 1311:GTG
+#5287	3482730 - H37Rv	x	#129:ATG
+4511	3483945 + H37Rv	Rv3116	861:GTG #*1170:ATG
+1167	3484807 + H37Rv	Rv3117	#*834:ATG
+#6217	3484836 + H37Rv	x	#120:ATT
+3110	3485111 + H37Rv	Rv3118	237:ATC 240:GTG 273:TTG #*303:ATG
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+5095	3486174 + H37Rv	Rv3120	#*603:ATG
+1861	3487711 + H37Rv	Rv3121	1041:GTG #*1203:ATG
+3804	3487793 - H37Rv	x	153:ATG #234:GTG
+1684	3488559 + H37Rv	Rv3122	#426:GTG *471:GTG 486:TTG
+#6246	3488806 - H37Rv	x	#252:GTG
+#2270	3488980 + H37Rv	x	#363:GTG
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+#5509	3489309 + H37Rv	x	#141:GTG
+4074	3490375 + H37Rv	Rv3124	789:GTG #*870:GTG 894:TTG 936:GTG
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+5684	3491702 - H37Rv	x	#165:GTG
+4512	3491808 - H37Rv	Rv3126c	219:TTG 273:ATG #*315:ATG
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+5546	3493168 - H37Rv	x	339:ATG #351:GTG
+2742	3493181 + H37Rv	Rv3127	#*1035:GTG 1047:GTG 1080:TTG
+0	3493600 - H37Rv	x	534:ATG 582:GTG #594:GTG
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+3247	3494975 - H37Rv	Rv3130c	#*1392:ATG
+4597	3494992 + H37Rv	Rv3129	258:GTG #*333:GTG
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+4103	3499943 - H37Rv	Rv3134c	#*807:ATG
+#6200	3500020 + H37Rv	x	#135:GTG
+7063	3500908 - H37Rv	x	#276:GTG
+5419	3501732 + H37Rv	Rv3135	#*399:ATG 558:TTG
+2446	3502936 + H37Rv	Rv3136	1101:ATG #*1143:ATG
+2833	3502945 - H37Rv	x	219:GTG 315:GTG #333:GTG
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+#5325	3504162 - H37Rv	x	#177:TTG
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+265	3506769 + H37Rv	Rv3139	#*1407:ATG 1443:GTG
+1263	3507995 + H37Rv	Rv3140	#*1206:ATG
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+5245	3509118 - H37Rv	Rv3142c	#*429:ATG 528:ATG
+4762	3510055 + H37Rv	Rv3143	#*402:GTG
+3631	3510088 - H37Rv	Rv3144c	918:GTG 1218:GTG #*1230:GTG
+#7268	3510621 + H37Rv	x	#105:ATG
+3292	3512068 + H37Rv	Rv3145	#*387:TTG 477:GTG 492:ATG
+2721	3512631 + H37Rv	Rv3146	474:CTG 501:GTG #*555:GTG
+1858	3513338 + H37Rv	Rv3147	633:ATG 654:GTG #*711:ATG
+3653	3514660 + H37Rv	Rv3148	#*1323:ATG 1326:CTG
+3699	3515415 + H37Rv	Rv3149	489:GTG 735:GTG #*759:GTG
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+615	3520514 + H37Rv	Rv3152	1155:GTG #*1233:ATG 1242:GTG 1263:GTG
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+1239	3521927 + H37Rv	Rv3154	#*789:ATG
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+229	3525793 + H37Rv	Rv3157	1245:GTG #*1662:GTG 1665:GTG
+3742	3527385 + H37Rv	Rv3158	#*1596:ATG
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+3702	3529338 - H37Rv	Rv3160c	519:GTG #*642:ATG 663:GTG 678:TTG
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+1738	3531208 - H37Rv	Rv3162c	384:ATG 396:GTG #*438:ATG
+4253	3531642 - H37Rv	Rv3163c	1128:GTG 1248:TTG #*1272:GTG
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+1076	3534392 - H37Rv	Rv3166c	660:GTG 909:GTG #*960:ATG 966:GTG
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+2405	3537238 + H37Rv	Rv3168	1011:GTG #*1137:GTG
+4086	3538362 + H37Rv	Rv3169	1116:ATG #*1125:ATG 1254:GTG
+1908	3539846 - H37Rv	Rv3171c	660:GTG #*900:TTG 972:ATG
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+3593	3544344 - H37Rv	Rv3176c	762:GTG 897:GTG #*957:ATG 1020:TTG
+3420	3544347 + H37Rv	Rv3175	1482:ATG #*1488:ATG
+5318	3546307 + H37Rv	Rv3177	795:GTG #*861:GTG 903:GTG
+4559	3546797 + H37Rv	Rv3178	330:GTG #*360:TTG 516:ATG
+5640	3546877 - H37Rv	x	#180:TTG
+4101	3547330 + H37Rv	x	#294:GTG 297:CTG
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+7159	3549377 + H37Rv	x	#414:GTG
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+#7347	3549520 + H37Rv	x	#120:ATG
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+1601	3551044 + H37Rv	Rv3183	324:ATG #*330:ATG
+#1505	3551324 + H37Rv	x	#96:ATG
+#7348	3551604 - H37Rv	x	#204:GTG
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+4447	3554645 + H37Rv	Rv3188	249:GTG #*348:ATG
+3758	3555262 + H37Rv	Rv3189	#*621:GTG
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+4694	3560210 + H37Rv	x	156:GTG #168:GTG
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+2748	3566687 + H37Rv	Rv3196	825:ATG #*900:GTG
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+#950	3568835 - H37Rv	x	#123:GTG
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+4445	3571589 + H37Rv	Rv3198A	#*255:ATG
+3317	3571602 - H37Rv	Rv3199c	804:GTG 924:GTG #*942:GTG 1161:GTG
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+2751	3577033 - H37Rv	Rv3202c	2982:ATG #*3168:ATG
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+1921	3581312 + H37Rv	Rv3203	#*675:TTG
+4085	3581620 + H37Rv	Rv3204	#*306:ATG
+390	3581627 - H37Rv	Rv3205c	#855:GTG *879:ATG
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+3821	3583801 - H37Rv	Rv3207c	#*858:GTG 987:GTG 1029:ATG
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+5344	3586834 + H37Rv	Rv3209	294:GTG 366:GTG 402:TTG #*561:GTG 564:GTG
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+6751	3594262 + H37Rv	x	#468:GTG
+738	3595433 + H37Rv	Rv3218	957:GTG #*966:ATG
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+3931	3597551 - H37Rv	Rv3221c	#*216:ATG 222:GTG 240:ATG
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+90	3598353 - H37Rv	Rv3222c	405:GTG 525:TTG #*552:ATG
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+4669	3639844 + H37Rv	Rv3259	#*420:ATG 528:ATG
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+1088	3676731 + H37Rv	Rv3295	#*666:ATG
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+775	3681316 + H37Rv	Rv3296	2571:GTG #*4542:GTG
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+4749	3682110 - H37Rv	Rv3298c	567:TTG 900:ATG #*915:ATG
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+1514	3689457 - H37Rv	Rv3303c	1479:GTG #*1482:GTG 1512:GTG
+1884	3691620 + H37Rv	Rv3304	#*480:GTG 600:ATG 639:GTG
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+1620	3692805 - H37Rv	Rv3306c	#*1185:ATG
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+2557	3696470 - H37Rv	Rv3309c	#*624:GTG 717:ATG
+2234	3698097 + H37Rv	Rv3310	846:TTG #*900:ATG
+2710	3699383 + H37Rv	Rv3311	#*1263:ATG 1299:TTG
+4685	3699404 - H37Rv	Rv3312c	906:CTG #*927:TTG 933:GTG
+3928	3700356 - H37Rv	x	#171:ATG
+3620	3700705 - H37Rv	Rv3312A	#*312:ATG 345:TTG
+3508	3701087 - H37Rv	Rv3313c	#*1098:ATG 1101:CTG
+3042	3702184 - H37Rv	Rv3314c	#*1284:GTG
+4235	3703464 - H37Rv	Rv3315c	339:GTG 381:ATG #*402:ATG 489:GTG
+61	3704440 + H37Rv	Rv3316	#*339:ATG 435:GTG
+927	3704871 + H37Rv	Rv3317	#*435:ATG 450:GTG 516:GTG
+2430	3706772 + H37Rv	Rv3318	1749:GTG #*1773:TTG
+4495	3707563 + H37Rv	Rv3319	513:GTG #*792:ATG
+5478	3707642 - H37Rv	Rv3320c	#*429:ATG
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+2992	3708074 - H37Rv	Rv3321c	#*243:ATG
+749	3708438 - H37Rv	Rv3322c	#*615:ATG 633:GTG
+3937	3709049 - H37Rv	Rv3323c	450:GTG 507:ATG 555:TTG #*666:ATG
+2645	3709715 - H37Rv	Rv3324c	516:GTG 534:GTG #*555:ATG
+4951	3710245 - H37Rv	x	90:ATG #153:ATG
+#7348	3710756 - H37Rv	x	#204:GTG
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+6169	3711721 - H37Rv	x	#387:GTG
+1676	3713394 - H37Rv	Rv3328c	849:GTG #*939:ATG 948:ATG
+3733	3713461 + H37Rv	Rv3327	984:GTG 1131:CTG 1530:ATG #*1713:ATG
+2428	3715708 + H37Rv	Rv3329	#*1317:TTG 1368:TTG 1401:GTG
+4097	3716991 - H37Rv	x	#162:GTG
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+946	3718598 + H37Rv	Rv3331	#1284:TTG 1380:CTG *1509:GTG
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+949	3724548 + H37Rv	Rv3338	633:GTG #*645:TTG 747:GTG
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+1898	3736984 - H37Rv	x	#1017:GTG
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+#3331	3742759 - H37Rv	x	#120:GTG
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+6397	3753222 - H37Rv	x	492:GTG 615:GTG #618:GTG
+3796	3754256 + H37Rv	Rv3348	276:CTG 285:ATG 351:CTG 360:CTG #*492:GTG
+807	3754293 - H37Rv	Rv3349c	#*741:GTG 819:ATG 843:GTG 945:TTG
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+4707	3755328 - H37Rv	x	180:ATG #237:GTG
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+5210	3769514 - H37Rv	Rv3355c	288:GTG #*294:ATG
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+3484	3771302 + H37Rv	Rv3358	#*258:GTG
+2640	3772534 + H37Rv	Rv3359	1161:GTG #*1191:GTG
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+4221	3773019 + H37Rv	Rv3360	258:GTG 348:GTG #*369:ATG
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+1055	3774871 - H37Rv	Rv3365c	2355:ATG 2379:ATG 2625:ATG #*2631:GTG
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+4972	3780335 - H37Rv	Rv3368c	#*645:ATG
+3988	3781412 + H37Rv	Rv3369	411:ATG #*435:ATG
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+4319	3787489 + H37Rv	Rv3372	#*1176:GTG 1191:GTG
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+2660	3792358 - H37Rv	Rv3378c	#*891:ATG
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+5145	3799635 - H37Rv	Rv3385c	267:GTG 276:ATG #*309:ATG
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+5370	3801463 + H37Rv	Rv3387	513:CTG 534:ATG #*678:GTG 741:GTG 819:GTG
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+6389	3841610 + H37Rv	x	#231:GTG
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+4623	3848844 - H37Rv	x	#156:TTG
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+4721	4148318 - H37Rv	Rv3705c	#*645:ATG
+2738	4149091 - H37Rv	Rv3705A	#*390:ATG
+4425	4149591 - H37Rv	Rv3706c	261:GTG 312:ATG #*321:ATG
+#7174	4149899 - H37Rv	x	#102:ATG
+1266	4150030 - H37Rv	Rv3707c	#*1011:GTG 1107:GTG 1125:GTG 1149:ATG
+1112	4151180 - H37Rv	Rv3708c	987:ATG #*1038:ATG
+3530	4152218 - H37Rv	Rv3709c	#*1266:GTG 1368:GTG
+673	4155674 + H37Rv	Rv3710	#*1815:ATG 1935:GTG 1980:ATG
+3335	4155740 - H37Rv	Rv3711c	#*990:GTG
+#6467	4156726 - H37Rv	x	#93:GTG
+#6991	4157008 - H37Rv	x	#441:GTG
+3716	4158222 + H37Rv	Rv3712	1041:ATG #*1242:GTG
+649	4158922 + H37Rv	Rv3713	693:GTG #*696:GTG 708:GTG 834:ATG
+2173	4158931 - H37Rv	Rv3714c	855:ATG 876:ATG #*891:ATG 1026:GTG
+2554	4159889 - H37Rv	Rv3715c	#*612:ATG
+2013	4160512 - H37Rv	Rv3716c	384:ATG #*402:ATG
+4006	4161773 + H37Rv	Rv3717	648:ATG #*726:ATG 762:GTG
+2885	4161815 - H37Rv	Rv3718c	435:GTG #*444:ATG
+1029	4163718 + H37Rv	Rv3719	933:TTG 1155:ATG 1326:TTG 1377:GTG 1401:TTG #*1413:ATG
+2576	4164995 - H37Rv	Rv3721c	1695:GTG #*1737:GTG
+2712	4164998 + H37Rv	Rv3720	882:TTG #*1263:ATG 1284:ATG
+1183	4166821 - H37Rv	Rv3722c	#*1308:GTG
+3391	4169300 + H37Rv	Rv3723	#*765:ATG
+#5955	4169709 + H37Rv	Rv3724A	#*243:ATG
+3203	4170169 + H37Rv	Rv3724B	312:GTG 342:GTG #*564:GTG 624:GTG
+2980	4171143 + H37Rv	Rv3725	#*930:ATG
+2798	4171211 - H37Rv	x	#147:ATG 171:GTG 285:TTG
+#3793	4171214 + H37Rv	x	219:GTG #234:ATG
+26	4172614 + H37Rv	Rv3726	1185:GTG #*1194:ATG
+#6719	4173213 - H37Rv	x	#237:ATG
+421	4174763 + H37Rv	Rv3727	1281:TTG 1779:GTG #*1809:ATG 1815:TTG
+#4831	4174788 - H37Rv	x	#123:ATG
+954	4178070 + H37Rv	Rv3728	1638:GTG 3075:GTG #*3198:GTG 3204:TTG 3216:GTG
+2563	4180615 + H37Rv	Rv3729	1737:GTG 2184:ATG #*2331:ATG 2367:ATG 2520:GTG
+1639	4180680 - H37Rv	Rv3730c	975:ATG #*1041:ATG 1080:ATG 1122:TTG 1131:GTG
+1669	4182834 + H37Rv	Rv3731	#*1077:ATG 1212:GTG
+3688	4182852 - H37Rv	x	144:GTG #153:ATG
+2716	4183992 + H37Rv	Rv3732	864:ATG 990:ATG 1005:GTG 1050:CTG #*1059:ATG
+4908	4184012 - H37Rv	Rv3733c	#*501:ATG
+832	4184526 - H37Rv	Rv3734c	1227:TTG #*1365:ATG
+#7209	4185917 + H37Rv	x	#207:GTG
+4925	4186577 + H37Rv	Rv3735	#*489:ATG 498:GTG
+1518	4187695 + H37Rv	Rv3736	1056:GTG #*1062:ATG
+2058	4189285 - H37Rv	Rv3738c	#*948:ATG
+254	4189288 + H37Rv	Rv3737	#*1590:ATG
+4542	4190284 - H37Rv	Rv3739c	#*234:ATG
+#5871	4190514 - H37Rv	x	#117:TTG
+#6896	4190718 - H37Rv	x	#111:GTG
+1339	4190833 - H37Rv	Rv3740c	993:GTG #*1347:ATG 1356:ATG
+4346	4192179 - H37Rv	Rv3741c	456:ATG #*675:ATG
+4748	4192850 - H37Rv	Rv3742c	#*396:GTG 486:GTG 519:TTG
+95	4193391 - H37Rv	Rv3743c	1110:ATG 1935:TTG #*1983:GTG
+3457	4195802 + H37Rv	Rv3744	321:TTG #*363:ATG 408:ATG
+3536	4195886 - H37Rv	Rv3745c	198:GTG #*213:ATG
+162	4196171 - H37Rv	Rv3746c	327:ATG #*336:ATG 372:TTG
+928	4197107 + H37Rv	Rv3747	363:TTG #*384:GTG
+1084	4197595 + H37Rv	Rv3748	240:GTG #*360:GTG
+1030	4197628 - H37Rv	Rv3749c	291:GTG 324:GTG 351:ATG #*510:ATG
+#7592	4197884 - H37Rv	x	#309:ATG
+2614	4198205 - H37Rv	Rv3750c	327:ATG 351:GTG #*393:ATG
+#7198:1	4198267 + H37Rv	x	#291:ATG
+785	4198756 - H37Rv	x	#303:GTG
+466	4199089 + H37Rv	Rv3751	#*216:GTG
+5451	4199247 - H37Rv	Rv3752c	#*459:GTG
+3025	4199721 - H37Rv	Rv3753c	420:ATG *501:ATG #522:ATG
+815	4201289 - H37Rv	Rv3755c	465:GTG 522:ATG 555:ATG #*600:GTG
+119	4201326 + H37Rv	Rv3754	#*906:ATG 939:GTG 945:GTG 972:GTG
+3786	4201894 - H37Rv	Rv3756c	#*720:ATG 789:ATG
+850	4202610 - H37Rv	Rv3757c	#*690:ATG
+1047	4203287 - H37Rv	Rv3758c	1104:GTG #*1131:TTG 1182:ATG
+3686	4204426 - H37Rv	Rv3759c	888:GTG 903:GTG 942:ATG #*948:ATG 1032:ATG
+2522	4205840 + H37Rv	Rv3760	291:GTG #*303:GTG 354:ATG
+2799	4205862 - H37Rv	Rv3761c	#*1056:GTG
+1817	4206996 - H37Rv	Rv3762c	#1875:ATG *1881:GTG 1905:GTG
+3177	4209526 + H37Rv	Rv3763	#*480:GTG
+454	4209582 - H37Rv	Rv3764c	1224:ATG #*1428:GTG 1437:GTG 1521:ATG
+4549	4211080 - H37Rv	Rv3765c	#*705:ATG 741:GTG 759:GTG 861:GTG
+977	4212982 + H37Rv	Rv3766	#*690:ATG 756:GTG 780:GTG 825:GTG
+4357	4212996 - H37Rv	Rv3767c	#*945:GTG
+2995	4214429 + H37Rv	Rv3768	#*360:ATG
+7013	4214474 - H37Rv	x	#519:TTG
+4783	4214887 + H37Rv	Rv3769	#*273:GTG
+1301	4215200 - H37Rv	Rv3770c	546:ATG #*576:ATG 675:GTG
+#6177	4215213 + H37Rv	x	#132:TTG
+1743	4215881 - H37Rv	Rv3770A	123:GTG #*183:GTG
+3101	4216078 - H37Rv	Rv3770B	#*192:GTG
+1923	4216404 - H37Rv	Rv3771c	#*327:GTG
+898	4218195 + H37Rv	Rv3772	#*1062:GTG
+4128	4218241 - H37Rv	Rv3773c	417:TTG 510:GTG #*585:ATG 594:GTG
+#6973	4219040 - H37Rv	x	#210:ATG
+2181	4219673 + H37Rv	Rv3774	#*825:ATG 831:CTG 885:GTG
+1804	4220932 + H37Rv	Rv3775	#*1248:ATG
+5277	4222648 + H37Rv	Rv3776	1467:GTG #*1560:ATG 1629:ATG
+288	4223680 + H37Rv	Rv3777	978:ATG #*987:GTG
+5902	4223699 - H37Rv	Rv3778c	#*1197:ATG
+#6771	4225554 - H37Rv	x	#177:GTG
+1022	4226985 + H37Rv	Rv3779	1251:GTG 1995:CTG #*2001:GTG
+1022	4226996 + H37Rv	x	#1671:ATG
+#6587	4227409 - H37Rv	x	135:GTG #138:ATG
+3910	4227525 + H37Rv	Rv3780	513:TTG 525:ATG #*537:GTG
+4415	4228350 + H37Rv	Rv3781	#*822:GTG
+1780	4229261 + H37Rv	Rv3782	#*915:ATG
+3960	4230100 + H37Rv	Rv3783	#*843:ATG
+3888	4231236 + H37Rv	Rv3784	861:ATG #*981:ATG
+2440	4232374 - H37Rv	Rv3786c	#*1224:ATG
+431	4232393 + H37Rv	Rv3785	1041:GTG #*1074:ATG 1125:GTG
+1049	4233610 - H37Rv	Rv3787c	#*927:GTG 981:TTG
+718	4235265 + H37Rv	Rv3788	#*486:GTG
+3334	4235739 + H37Rv	Rv3789	#*366:ATG 429:ATG
+1479	4237164 + H37Rv	Rv3790	1287:ATG 1311:GTG 1377:GTG #*1386:ATG 1392:TTG
+2635	4237929 + H37Rv	Rv3791	732:GTG #*765:ATG
+115	4239863 + H37Rv	Rv3792	1860:GTG 1893:ATG #*1932:ATG
+724	4243147 + H37Rv	Rv3793	1869:GTG 3186:GTG 3231:GTG #*3285:ATG 3288:GTG
+#6495	4246501 - H37Rv	x	#315:GTG
+691	4246517 + H37Rv	Rv3794	2346:CTG #*3285:GTG
+1643	4249810 + H37Rv	Rv3795	2967:TTG 3183:GTG 3213:GTG 3249:TTG #*3297:ATG 3723:ATG
+963	4251005 + H37Rv	Rv3796	882:GTG 960:TTG 1017:GTG #*1128:ATG
+2556	4252866 + H37Rv	Rv3797	1656:CTG 1758:GTG #*1782:ATG
+#6394:1	4252924 + H37Rv	x	#360:TTG
+2770:1	4254327 + H37Rv	Rv3798	732:TTG 1200:TTG #*1335:GTG
+3056	4254380 - H37Rv	Rv3799c	#*1569:GTG
+#6634	4255727 + H37Rv	x	#291:TTG
+720	4255945 - H37Rv	Rv3800c	5022:ATG 5136:ATG #*5202:ATG
+3261	4261153 - H37Rv	Rv3801c	#1890:ATG *1914:ATG
+#7401	4262749 + H37Rv	x	#213:GTG
+184	4263355 - H37Rv	Rv3802c	789:GTG 951:ATG #*1011:ATG
+#6416	4264378 + H37Rv	x	#180:GTG
+138	4264563 - H37Rv	Rv3803c	765:ATG #*900:ATG 933:GTG
+100	4265642 - H37Rv	Rv3804c	867:GTG 936:GTG 963:GTG 978:ATG #*1017:ATG 1068:ATG
+2573	4266953 - H37Rv	Rv3805c	1284:TTG 1536:ATG 1761:TTG #*1884:ATG 1902:GTG 1926:GTG 1944:GTG 1998:TTG
+#6961	4268399 + H37Rv	x	#159:ATG
+315	4268925 - H37Rv	Rv3806c	#*909:ATG
+1667	4269840 - H37Rv	Rv3807c	*498:ATG 501:GTG #534:ATG
+1231	4270366 - H37Rv	Rv3808c	1848:GTG #*1914:ATG
+2281	4272276 - H37Rv	Rv3809c	1191:ATG #*1200:ATG
+326	4274593 + H37Rv	Rv3810	819:ATG #*855:GTG
+2988	4276417 + H37Rv	Rv3811	#*1620:ATG 1632:CTG 1662:GTG 1665:CTG
+#260	4276441 - H37Rv	x	#147:GTG 192:ATG
+2064	4278082 - H37Rv	x	#153:ATG
+2996	4278085 + H37Rv	Rv3812	1323:GTG #*1515:GTG
+#4377	4278185 - H37Rv	x	#117:ATG
+159	4278394 - H37Rv	Rv3813c	570:GTG 810:GTG #*822:TTG 840:CTG
+5214	4279230 - H37Rv	Rv3814c	#*786:ATG
+3912	4280033 - H37Rv	Rv3815c	#*756:ATG
+793	4280792 - H37Rv	Rv3816c	#*780:GTG
+5498	4282402 + H37Rv	Rv3817	#*756:GTG
+1730	4283999 + H37Rv	Rv3818	798:ATG #*1551:GTG
+4407	4284331 + H37Rv	Rv3819	333:ATG #*336:ATG
+3263	4284419 - H37Rv	Rv3820c	1215:ATG 1296:GTG #*1407:GTG
+3992	4286686 + H37Rv	Rv3821	#*714:ATG 798:GTG
+343	4287935 + H37Rv	Rv3822	609:GTG 762:GTG 849:TTG 939:ATG 1098:GTG 1143:TTG 1164:GTG #*1215:ATG
+876	4288260 - H37Rv	Rv3823c	3138:GTG #*3270:ATG
+2195	4291639 - H37Rv	Rv3824c	1413:GTG 1422:GTG 1479:GTG #*1536:GTG
+2646	4293225 - H37Rv	Rv3825c	3645:GTG 6288:ATG 6312:GTG #*6381:TTG
+#6819	4298831 + H37Rv	x	#327:GTG
+5639	4299706 - H37Rv	x	168:GTG #177:GTG
+#5422	4300058 - H37Rv	x	#192:TTG
+3780	4301563 - H37Rv	Rv3827c	#1224:ATG *1227:TTG
+1934	4301566 + H37Rv	Rv3826	#*1755:ATG
+1527	4302786 - H37Rv	Rv3828c	570:GTG #582:ATG 606:GTG *612:TTG
+903	4303398 - H37Rv	Rv3829c	1164:ATG #*1611:ATG 1626:TTG
+#6244	4303452 + H37Rv	x	#114:TTG
+4088	4305056 - H37Rv	Rv3830c	#*630:ATG
+2240	4306236 - H37Rv	Rv3832c	519:GTG 570:ATG #*576:ATG 588:GTG
+3271	4306239 + H37Rv	Rv3831	#*483:ATG
+70	4307655 - H37Rv	Rv3834c	#*1260:GTG
+2371	4307658 + H37Rv	Rv3833	#*792:ATG
+3134	4310396 + H37Rv	Rv3835	#*1350:ATG 1359:ATG
+4003	4310814 + H37Rv	Rv3836	#402:ATG *414:GTG
+4880	4311009 - H37Rv	Rv3837c	639:TTG 684:GTG 687:TTG #*699:ATG
+6405	4311032 + H37Rv	x	#222:ATG
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+1233	4313541 + H37Rv	Rv3839	669:GTG #*777:ATG
+1124	4313980 + H37Rv	Rv3840	363:TTG #*414:TTG
+#7014	4314105 + H37Rv	x	#75:ATG
+1835	4314723 + H37Rv	Rv3841	504:ATG #*546:ATG
+1593	4314738 - H37Rv	Rv3842c	786:GTG #*825:ATG 831:GTG
+1737	4315568 - H37Rv	Rv3843c	663:GTG 702:GTG 948:ATG #*1029:GTG
+#7023	4316928 + H37Rv	x	#105:GTG
+3279	4317284 + H37Rv	x	#150:ATG
+4661	4317685 - H37Rv	x	201:GTG #213:TTG
+#7317	4317981 + H37Rv	x	#177:ATG
+6397	4318247 - H37Rv	x	510:ATG 600:GTG #603:GTG
+6965	4318284 + H37Rv	x	#249:TTG
+#1395	4318312 + H37Rv	x	#144:ATG
+3796	4319266 + H37Rv	Rv3844	276:CTG 285:ATG 351:CTG 360:CTG #*492:GTG
+2862	4319640 + H37Rv	Rv3845	#*360:GTG
+#7560	4319855 - H37Rv	x	#102:ATG
+5012	4320040 + H37Rv	x	#216:ATG
+#4232	4320165 - H37Rv	x	#93:GTG
+2940	4320254 - H37Rv	x	126:TTG 156:GTG #165:ATG 180:GTG
+3835	4321327 + H37Rv	Rv3846	#*624:GTG
+851	4322071 + H37Rv	Rv3847	414:ATG 465:GTG #*534:ATG
+5541	4322162 - H37Rv	x	#180:GTG
+#4331	4322165 + H37Rv	x	#105:TTG
+3459	4323234 + H37Rv	Rv3848	#*909:ATG
+1262	4323897 + H37Rv	Rv3849	#*399:ATG 414:GTG
+5666	4324671 + H37Rv	Rv3850	393:TTG #*657:ATG
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+320	4325478 + H37Rv	Rv3852	#*405:ATG 426:ATG
+394	4325968 + H37Rv	Rv3853	#*474:GTG
+836	4326004 - H37Rv	Rv3854c	#*1470:ATG
+4092	4328199 + H37Rv	Rv3855	#*651:GTG
+3417	4328401 - H37Rv	Rv3856c	936:ATG #*1008:ATG
+4633	4329417 - H37Rv	Rv3857c	159:TTG #*198:ATG
+4612	4329745 - H37Rv	x	#111:ATG 141:GTG
+3118	4330039 - H37Rv	Rv3858c	#*1467:ATG 1551:GTG
+3762	4331498 - H37Rv	Rv3859c	#*4584:ATG 4590:GTG
+6747	4336096 - H37Rv	x	#384:GTG
+#7598	4336769 + H37Rv	x	#84:ATG
+589	4337949 + H37Rv	Rv3860	876:ATG #*1173:ATG
+1050	4338171 - H37Rv	Rv3862c	#291:ATG *351:ATG
+992	4338272 + H37Rv	Rv3861	#*327:GTG
+2447	4340027 + H37Rv	Rv3863	900:ATG 1047:GTG #*1179:ATG
+772	4341478 + H37Rv	Rv3864	1071:ATG 1149:TTG #*1209:ATG
+1641	4341877 + H37Rv	Rv3865	#*312:ATG
+248	4342731 + H37Rv	Rv3866	807:GTG #*852:ATG 858:TTG
+1285	4343321 + H37Rv	Rv3867	#*552:ATG
+3363	4345035 + H37Rv	Rv3868	#*1722:ATG 1752:ATG
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+780	4348724 + H37Rv	Rv3870	2199:TTG #*2244:ATG
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+1235	4350602 + H37Rv	Rv3871	#*1776:ATG
+945	4351044 + H37Rv	Rv3872	252:GTG 291:ATG #*300:ATG 342:TTG
+251	4352181 + H37Rv	Rv3873	*1107:ATG #1116:GTG
+4386	4352576 + H37Rv	Rv3874	294:ATG #*303:ATG
+1728	4352896 + H37Rv	Rv3875	#*288:ATG
+#1077	4353021 - H37Rv	x	351:ATG 387:GTG #402:ATG 420:GTG
+2429	4355010 + H37Rv	Rv3876	1647:ATG 1818:GTG #*2001:ATG
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+438:1	4356542 + H37Rv	Rv3877	1377:GTG 1440:ATG 1464:GTG #*1536:TTG
+3830	4357535 + H37Rv	Rv3878	#*843:ATG
+82	4357593 - H37Rv	Rv3879c	1107:GTG 1176:GTG 2151:ATG #*2190:ATG
+#4394	4359252 + H37Rv	x	#306:GTG
+#2944	4359365 + H37Rv	x	#906:GTG
+#7633	4359602 + H37Rv	x	#225:ATG
+#3122	4359823 - H37Rv	x	#129:GTG
+57	4360199 - H37Rv	Rv3880c	342:ATG #*348:GTG
+1938	4360543 - H37Rv	Rv3881c	#*1383:ATG
+#6275	4361580 + H37Rv	x	#303:GTG
+2791	4362032 - H37Rv	Rv3882c	1008:ATG #*1389:ATG
+733	4363417 - H37Rv	Rv3883c	723:GTG 786:GTG 1236:GTG *1341:GTG #1371:ATG
+2706	4364979 - H37Rv	Rv3884c	1521:TTG 1797:ATG 1839:ATG 1848:GTG 1851:ATG #*1860:ATG 1875:GTG
+#6785	4366808 + H37Rv	x	#183:ATG
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+2375	4370155 - H37Rv	Rv3887c	1407:GTG 1410:ATG #*1530:GTG
+1290	4371681 - H37Rv	Rv3888c	999:ATG #*1026:GTG
+3656	4372800 - H37Rv	Rv3889c	#*831:ATG
+5713	4373726 - H37Rv	Rv3890c	234:GTG #*288:ATG
+4374	4374049 - H37Rv	Rv3891c	#*324:GTG
+393	4374484 - H37Rv	Rv3892c	1131:GTG #*1200:ATG
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+2964	4375762 - H37Rv	Rv3893c	207:GTG 222:GTG #*234:ATG
+5420	4376074 - H37Rv	x	#165:ATG
+2088	4376262 - H37Rv	Rv3894c	2586:TTG #*4191:ATG
+1683	4380453 - H37Rv	Rv3895c	930:GTG 1476:TTG #*1488:ATG
+1854	4381943 - H37Rv	Rv3896c	870:TTG #*909:GTG
+#6799	4382948 + H37Rv	x	#366:ATG
+1967	4383008 - H37Rv	Rv3897c	#*633:ATG
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+\bibcite{lin_draft_2013}{7}
+\bibcite{maus_molecular_2005}{8}
+\bibcite{ng_draft_2013}{9}
+\bibcite{ordway_drug-resistant_1995}{10}
+\bibcite{osorio_evidence_2013}{11}
+\bibcite{roetzer_whole_2013}{12}
+\bibcite{safi_transfer_2008}{13}
+\bibcite{sandegren_genomic_2011}{14}
+\bibcite{shitikov_unusual_2014}{15}
+\bibcite{tateishi_whole-genome_2013}{16}
+\bibcite{tsui_genome_2013}{17}
+\bibcite{vellarikkal_draft_2013-3}{18}
+\bibcite{vellarikkal_draft_2013-1}{19}
+\bibcite{vellarikkal_draft_2013-2}{20}
+\bibcite{vellarikkal_draft_2013}{21}
+\bibcite{wu_genome-wide_2013}{22}
+\bibcite{zhang_complete_2011}{23}
+\bibstyle{plain}
+\@writefile{lot}{\contentsline {table}{\numberline {1}{\ignorespaces \bf  {Complete collected data on drug resistance.}\relax }}{1}}
diff --git a/other/res_data/mtu/data-res.bbl b/other/res_data/mtu/data-res.bbl
new file mode 100644
index 0000000..54fe056
--- /dev/null
+++ b/other/res_data/mtu/data-res.bbl
@@ -0,0 +1,197 @@
+\begin{thebibliography}{10}
+
+\bibitem{ilina_comparative_2013}
+Elena~N. Ilina, Egor~A. Shitikov, Larisa~N. Ikryannikova, Dmitry~G. Alekseev,
+  Dmitri~E. Kamashev, Maja~V. Malakhova, Tatjana~V. Parfenova, Maxim~V.
+  Afanas’ev, Dmitry~S. Ischenko, Nikolai~A. Bazaleev, Tatjana~G. Smirnova,
+  Elena~E. Larionova, Larisa~N. Chernousova, Alexey~V. Beletsky, Andrei~V.
+  Mardanov, Nikolai~V. Ravin, Konstantin~G. Skryabin, and Vadim~M. Govorun.
+\newblock Comparative genomic analysis of mycobacterium tuberculosis drug
+  resistant strains from russia.
+\newblock {\em {PLoS} {ONE}}, 8(2):e56577, February 2013.
+
+\bibitem{broad_institute_broad_????}
+Broad Institute.
+\newblock Broad institute tuberculosis.
+
+\bibitem{ioerger_non-clonality_2010}
+Thomas~R. Ioerger, Yicheng Feng, Xiaohua Chen, Karen~M. Dobos, Thomas~C.
+  Victor, Elizabeth~M. Streicher, Robin~M. Warren, Nicolaas C. Gey~van Pittius,
+  Paul D.~Van Helden, and James~C. Sacchettini.
+\newblock The non-clonality of drug resistance in beijing-genotype isolates of
+  mycobacterium tuberculosis from the western cape of south africa.
+\newblock {\em {BMC} Genomics}, 11(1):670, November 2010.
+\newblock {PMID:} 21110864.
+
+\bibitem{ioerger_genome_2009}
+Thomas~R. Ioerger, Sunwoo Koo, Eun-Gyu No, Xiaohua Chen, Michelle~H. Larsen,
+  Jr. Jacobs, William~R., Manormoney Pillay, A.~Willem Sturm, and James~C.
+  Sacchettini.
+\newblock Genome analysis of multi- and extensively-drug-resistant tuberculosis
+  from {KwaZulu-Natal}, south africa.
+\newblock {\em {PLoS} {ONE}}, 4(11):e7778, November 2009.
+
+\bibitem{kairov_whole_2013}
+U.~Kairov, S.~Rakhimova, U.~Kozhamkulov, A.~Askapuli, M.~Zhabagin, V.~Bismilda,
+  L.~Chingissova, and A.~Akilzhanova.
+\newblock Whole genome sequencing of m. tuberculosis in kazakhstan: preliminary
+  data.
+\newblock 2013.
+
+\bibitem{lanzas_multidrug-resistant_2013}
+Fedora Lanzas, Petros~C Karakousis, James~C Sacchettini, and Thomas~R Ioerger.
+\newblock Multidrug-resistant tuberculosis in panama is driven by clonal
+  expansion of a multidrug-resistant mycobacterium tuberculosis strain related
+  to the {KZN} extensively drug-resistant m. tuberculosis strain from south
+  africa.
+\newblock {\em Journal of clinical microbiology}, 51(10):3277--3285, October
+  2013.
+\newblock {PMID:} 23884993 {PMCID:} {PMC3811646}.
+
+\bibitem{lin_draft_2013}
+Nan Lin, Zhangyi Liu, Jie Zhou, Shihua Wang, and Joy Fleming.
+\newblock Draft genome sequences of two super-extensively drug-resistant
+  isolates of mycobacterium tuberculosis from china.
+\newblock {\em {FEMS} Microbiology Letters}, 347(2):93–96, 2013.
+
+\bibitem{maus_molecular_2005}
+Courtney~E. Maus, Bonnie~B. Plikaytis, and Thomas~M. Shinnick.
+\newblock Molecular analysis of cross-resistance to capreomycin, kanamycin,
+  amikacin, and viomycin in mycobacterium tuberculosis.
+\newblock {\em Antimicrobial Agents and Chemotherapy}, 49(8):3192--3197, August
+  2005.
+\newblock {PMID:} 16048924.
+
+\bibitem{ng_draft_2013}
+Kee~Peng Ng, Su~Mei Yew, Chai~Ling Chan, Jennifer Chong, Soo~Nee Tang,
+  Tuck~Soon Soo-Hoo, Shiang~Ling Na, Hamimah Hassan, Yun~Fong Ngeow,
+  Chee~Choong Hoh, Kok~Wei Lee, and Wai~Yan Yee.
+\newblock Draft genome sequence of the first isolate of extensively
+  drug-resistant ({XDR)} mycobacterium tuberculosis in malaysia.
+\newblock {\em Genome Announcements}, 1(1):e00056--12, February 2013.
+\newblock {PMID:} 23405310.
+
+\bibitem{ordway_drug-resistant_1995}
+D~J Ordway, M~G Sonnenberg, S~A Donahue, J~T Belisle, and I~M Orme.
+\newblock Drug-resistant strains of mycobacterium tuberculosis exhibit a range
+  of virulence for mice.
+\newblock {\em Infection and Immunity}, 63(2):741--743, February 1995.
+\newblock {PMID:} 7822053 {PMCID:} {PMC173064}.
+
+\bibitem{osorio_evidence_2013}
+Nuno~S. Osório, Fernando Rodrigues, Sebastien Gagneux, Jorge Pedrosa, Marta
+  Pinto-Carbó, António~G. Castro, Douglas Young, Iñaki Comas, and Margarida
+  Saraiva.
+\newblock Evidence for diversifying selection in a set of mycobacterium
+  tuberculosis genes in response to antibiotic- and nonantibiotic-related
+  pressure.
+\newblock {\em Molecular Biology and Evolution}, page mst038, February 2013.
+\newblock {PMID:} 23449927.
+
+\bibitem{roetzer_whole_2013}
+Andreas Roetzer, Roland Diel, Thomas~A. Kohl, Christian Rückert, Ulrich
+  Nübel, Jochen Blom, Thierry Wirth, Sebastian Jaenicke, Sieglinde Schuback,
+  Sabine Rüsch-Gerdes, Philip Supply, Jörn Kalinowski, and Stefan Niemann.
+\newblock Whole genome sequencing versus traditional genotyping for
+  investigation of a mycobacterium tuberculosis outbreak: A longitudinal
+  molecular epidemiological study.
+\newblock {\em {PLoS} Med}, 10(2):e1001387, February 2013.
+
+\bibitem{safi_transfer_2008}
+Hassan Safi, Brendan Sayers, Manzour~H. Hazbon, and David Alland.
+\newblock Transfer of {embB} codon 306 mutations into clinical mycobacterium
+  tuberculosis strains alters susceptibility to ethambutol, isoniazid, and
+  rifampin.
+\newblock {\em Antimicrobial Agents and Chemotherapy}, 52(6):2027--2034, June
+  2008.
+\newblock {PMID:} 18378710 {PMCID:} {PMC2415778}.
+
+\bibitem{sandegren_genomic_2011}
+Linus Sandegren, Ramona Groenheit, Tuija Koivula, Solomon Ghebremichael,
+  Abdolreza Advani, Elsie Castro, Alexandra Pennhag, Sven Hoffner, Jolanta
+  Mazurek, Andrzej Pawlowski, Boris Kan, Judith Bruchfeld, Öjar Melefors, and
+  Gunilla Källenius.
+\newblock Genomic stability over 9 years of an isoniazid resistant
+  mycobacterium tuberculosis outbreak strain in sweden.
+\newblock {\em {PLoS} {ONE}}, 6(1):e16647, January 2011.
+
+\bibitem{shitikov_unusual_2014}
+Egor~A. Shitikov, Julia~A. Bespyatykh, Dmitry~S. Ischenko, Dmitry~G. Alexeev,
+  Irina~Y. Karpova, Elena~S. Kostryukova, Yulia~D. Isaeva, Elena~Y. Nosova,
+  Igor~V. Mokrousov, Anna~A. Vyazovaya, Olga~V. Narvskaya, Boris~I. Vishnevsky,
+  Tatiana~F. Otten, Valery~Y. Zhuravlev, Peter~K. Yablonsky, Elena~N. Ilina,
+  and Vadim~M. Govorun.
+\newblock Unusual large-scale chromosomal rearrangements in mycobacterium
+  tuberculosis beijing {B0/W148} cluster isolates.
+\newblock {\em {PLoS} {ONE}}, 9(1):e84971, January 2014.
+
+\bibitem{tateishi_whole-genome_2013}
+Yoshitaka Tateishi, Aki Tamaru, Yoshitoshi Ogura, Mamiko Niki, Takayuki Wada,
+  Taro Yamamoto, Kazuto Hirata, Tetsuya Hayashi, and Sohkichi Matsumoto.
+\newblock Whole-genome sequence of the potentially hypertransmissible
+  multidrug-resistant mycobacterium tuberculosis beijing strain {OM-V02\_005}.
+\newblock {\em Genome Announcements}, 1(4):e00608--13, August 2013.
+\newblock {PMID:} 23929492.
+
+\bibitem{tsui_genome_2013}
+{SKW} Tsui, {RCY} Chan, {KM} Kam, {HS} Kwan, {KS} Leung, {KP} Fung, {MMY} Waye,
+  {PTW} Law, {SK} Lou, and {KK} Leung.
+\newblock Genome analysis of mycobacterium tuberculosis beijing family strains.
+\newblock {\em Research Fund for the Control of Infectious Diseases}, 19(5),
+  2013.
+
+\bibitem{vellarikkal_draft_2013-3}
+Shamsudheen~Karuthedath Vellarikkal, Ashok Patowary, Meghna Singh, Vinita
+  Periwal, Ajay~Vir Singh, Pravin~Kumar Singh, Parul Garg, Viswa~Mohan Katoch,
+  Kiran Katoch, Pramod~Kumar Jangir, Rakesh Sharma, D.~S. Chauhan, Vinod
+  Scaria, and Sridhar Sivasubbu.
+\newblock Draft genome sequence of a clinical isolate of multidrug-resistant
+  mycobacterium tuberculosis east african indian strain {OSDD271}.
+\newblock {\em Genome Announcements}, 1(4):e00541--13, August 2013.
+\newblock {PMID:} 23908284.
+
+\bibitem{vellarikkal_draft_2013-1}
+Shamsudheen~Karuthedath Vellarikkal, Ajay~Vir Singh, Pravin~Kumar Singh, Parul
+  Garg, Viswa~Mohan Katoch, Kiran Katoch, D.~S. Chauhan, Vinod Scaria, and
+  Sridhar Sivasubbu.
+\newblock Draft genome sequence of an extensively drug-resistant mycobacterium
+  tuberculosis clinical isolate of the ural strain {OSDD493}.
+\newblock {\em Genome Announcements}, 1(6):e00928--13, December 2013.
+\newblock {PMID:} 24201204.
+
+\bibitem{vellarikkal_draft_2013-2}
+Shamsudheen~Karuthedath Vellarikkal, Ajay~Vir Singh, Pravin~Kumar Singh, Parul
+  Garg, Viswa~Mohan Katoch, Kiran Katoch, D.~S. Chauhan, Sridhar Sivasubbu, and
+  Vinod Scaria.
+\newblock Draft genome sequence of a multidrug-resistant clinical isolate of
+  mycobacterium tuberculosis belonging to a novel spoligotype.
+\newblock {\em Genome Announcements}, 1(6), November 2013.
+\newblock {PMID:} 24265496 {PMCID:} {PMC3837177}.
+
+\bibitem{vellarikkal_draft_2013}
+Shamsudheen~Karuthedath Vellarikkal, Ajay~Vir Singh, Pravin~Kumar Singh, Parul
+  Garg, Viswa~Mohan Katoch, Kiran Katoch, D.~S. Chauhan, Sridhar Sivasubbu, and
+  Vinod Scaria.
+\newblock Draft genome sequence of multidrug-resistant mycobacterium
+  tuberculosis clinical isolate {OSDD515}, belonging to the uganda i genotype.
+\newblock {\em Genome Announcements}, 1(6):e00750--13, December 2013.
+\newblock {PMID:} 24265488.
+
+\bibitem{wu_genome-wide_2013}
+Wei Wu, Huajun Zheng, Lu~Zhang, Zilu Wen, Shulin Zhang, Hao Pei, Guohua Yu,
+  Yongqiang Zhu, Zhenling Cui, Zhongyi Hu, Honghai Wang, and Yao Li.
+\newblock A genome-wide analysis of multidrug-resistant and extensively
+  drug-resistant strains of mycobacterium tuberculosis beijing genotype.
+\newblock {\em Molecular Genetics and Genomics}, 288(9):425--436, September
+  2013.
+
+\bibitem{zhang_complete_2011}
+Yuanyuan Zhang, Chen Chen, Jie Liu, Haijun Deng, Aizhen Pan, Lishui Zhang,
+  Xiuqin Zhao, Mingxiang Huang, Bing Lu, Haiyan Dong, Pengcheng Du, Weijun
+  Chen, and {KangLin} Wan.
+\newblock Complete genome sequences of mycobacterium tuberculosis strains
+  {CCDC5079} and {CCDC5080}, which belong to the beijing family.
+\newblock {\em Journal of Bacteriology}, 193(19):5591--5592, October 2011.
+\newblock {PMID:} 21914894.
+
+\end{thebibliography}
diff --git a/other/res_data/mtu/data-res.blg b/other/res_data/mtu/data-res.blg
new file mode 100644
index 0000000..40fa9e0
--- /dev/null
+++ b/other/res_data/mtu/data-res.blg
@@ -0,0 +1,9 @@
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+Warning--I didn't find a database entry for "mwangi_tracking_2007"
+Warning--empty booktitle in kairov_whole_2013
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diff --git a/other/res_data/mtu/data-res.log b/other/res_data/mtu/data-res.log
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diff --git a/other/res_data/mtu/data-res.pdf b/other/res_data/mtu/data-res.pdf
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+\documentclass[10pt]{article}
+\usepackage{amsmath}
+\usepackage{amssymb}
+\usepackage{graphicx}
+\usepackage[table]{xcolor}
+\usepackage{cite}
+\usepackage{color} 
+\usepackage[margin=1in, paperwidth=16in, paperheight=37in]{geometry}
+\textwidth 13in 
+\textheight 34in
+\topmargin 0.0cm
+\oddsidemargin 0.5cm
+\evensidemargin 0.5cm
+\usepackage[labelfont=bf,labelsep=period,justification=raggedright]{caption}
+\makeatletter
+\renewcommand{\@biblabel}[1]{\quad#1.}
+\makeatother
+\date{}
+\pagestyle{myheadings}
+\begin{document}
+\begin{table}[!ht]
+\caption{\bf{Complete collected data on drug resistance.}}
+\begin{tabular}{|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|}\hline
+Strain & Streptomycin & Rifampicin & Ethambutol & Isoniazid & Ofloxacin & Kanamycin & Capreomycin & Amikacin & Ethionamide & Pyrazinamide & Cycloserine & Ciprofloxacin & PAS & Rifabutin\\ \hline
+02 1987 & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\c [...]
+210 &  & $S$\cite{safi_transfer_2008}\cellcolor{green} & $S$\cite{safi_transfer_2008}\cellcolor{green} & $S$\cite{safi_transfer_2008}\cellcolor{green} &  &  &  &  &  &  &  &  &  & \\ \hline
+7199-99 & $S$\cite{roetzer_whole_2013}\cellcolor{green} & $S$\cite{roetzer_whole_2013}\cellcolor{green} & $S$\cite{roetzer_whole_2013}\cellcolor{green} & $S$\cite{roetzer_whole_2013}\cellcolor{green} & $S$\cite{roetzer_whole_2013}\cellcolor{green} & $S$\cite{roetzer_whole_2013}\cellcolor{green} & $S$\cite{roetzer_whole_2013}\cellcolor{green} & $S$\cite{roetzer_whole_2013}\cellcolor{green} & $S$\cite{roetzer_whole_2013}\cellcolor{green} & $S$\cite{roetzer_whole_2013}\cellcolor{green} &  & [...]
+94 M4241A & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013} [...]
+98-R604 INH-RIF-EM & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $R$\cite{osorio_evidence_2013}\cellcolor{red} & $R$\cite{osorio_evidence_2013}\cellcolor{red} & $R$\cite{osorio_evidence_2013}\cellcolor{red} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} &  &  &  &  &  &  &  & \\ \hline
+BT1 & $R$\cite{tsui_genome_2013}\cellcolor{red} & $R$\cite{tsui_genome_2013}\cellcolor{red} & $R$\cite{tsui_genome_2013}\cellcolor{red} & $R$\cite{tsui_genome_2013}\cellcolor{red} & $R$\cite{tsui_genome_2013}\cellcolor{red} & $R$\cite{tsui_genome_2013}\cellcolor{red} & $R$\cite{tsui_genome_2013}\cellcolor{red} & $R$\cite{tsui_genome_2013}\cellcolor{red} & $R$\cite{tsui_genome_2013}\cellcolor{red} & $R$\cite{tsui_genome_2013}\cellcolor{red} &  &  &  & \\ \hline
+BT2 & $R$\cite{tsui_genome_2013}\cellcolor{red} & $R$\cite{tsui_genome_2013}\cellcolor{red} & $R$\cite{tsui_genome_2013}\cellcolor{red} & $R$\cite{tsui_genome_2013}\cellcolor{red} & $R$\cite{tsui_genome_2013}\cellcolor{red} & $R$\cite{tsui_genome_2013}\cellcolor{red} & $R$\cite{tsui_genome_2013}\cellcolor{red} & $R$\cite{tsui_genome_2013}\cellcolor{red} & $R$\cite{tsui_genome_2013}\cellcolor{red} & $R$\cite{tsui_genome_2013}\cellcolor{red} &  &  &  & \\ \hline
+BTB05-552 & $S$\cite{sandegren_genomic_2011}\cellcolor{green} & $S$\cite{sandegren_genomic_2011}\cellcolor{green} & $S$\cite{sandegren_genomic_2011}\cellcolor{green} & $R$\cite{sandegren_genomic_2011}\cellcolor{red} & $S$\cite{sandegren_genomic_2011}\cellcolor{green} &  &  & $S$\cite{sandegren_genomic_2011}\cellcolor{green} &  & $S$\cite{sandegren_genomic_2011}\cellcolor{green} &  &  &  & \\ \hline
+BTB05-559 & $S$\cite{sandegren_genomic_2011}\cellcolor{green} & $S$\cite{sandegren_genomic_2011}\cellcolor{green} & $S$\cite{sandegren_genomic_2011}\cellcolor{green} & $R$\cite{sandegren_genomic_2011}\cellcolor{red} & $S$\cite{sandegren_genomic_2011}\cellcolor{green} &  &  & $S$\cite{sandegren_genomic_2011}\cellcolor{green} &  & $S$\cite{sandegren_genomic_2011}\cellcolor{green} &  &  &  & \\ \hline
+C & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcol [...]
+CCDC5079 & $S$\cite{osorio_evidence_2013}\cellcolor{green}$S$\cite{zhang_complete_2011}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green}$S$\cite{zhang_complete_2011}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green}$S$\cite{zhang_complete_2011}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green}$S$\cite{zhang_complete_2011}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} [...]
+CCDC5080 & $R$\cite{zhang_complete_2011}\cellcolor{red} & $R$\cite{zhang_complete_2011}\cellcolor{red} & $R$\cite{zhang_complete_2011}\cellcolor{red} & $R$\cite{zhang_complete_2011}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+CDC1551 & $S$\cite{maus_molecular_2005}\cellcolor{green} & $S$\cite{maus_molecular_2005}\cellcolor{green} & $S$\cite{maus_molecular_2005}\cellcolor{green} & $S$\cite{maus_molecular_2005}\cellcolor{green} & $S$\cite{maus_molecular_2005}\cellcolor{green} & $S$\cite{maus_molecular_2005}\cellcolor{green} & $S$\cite{maus_molecular_2005}\cellcolor{green} & $S$\cite{maus_molecular_2005}\cellcolor{green} & $S$\cite{maus_molecular_2005}\cellcolor{green} & $S$\cite{maus_molecular_2005}\cellcolor{g [...]
+CPHL A & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\ce [...]
+CTRI-2 & $S$\cite{osorio_evidence_2013}\cellcolor{green}$S$\cite{ilina_comparative_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green}$S$\cite{ilina_comparative_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green}$S$\cite{ilina_comparative_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green}$S$\cite{ilina_comparative_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green}$S$\cite{ilina_comparative_2013}\cellcol [...]
+CTRI-4 & $R$\cite{ilina_comparative_2013}\cellcolor{red} & $R$\cite{ilina_comparative_2013}\cellcolor{red} & $R$\cite{ilina_comparative_2013}\cellcolor{red} & $R$\cite{ilina_comparative_2013}\cellcolor{red} & $R$\cite{ilina_comparative_2013}\cellcolor{red} &  & $R$\cite{ilina_comparative_2013}\cellcolor{red} & $R$\cite{ilina_comparative_2013}\cellcolor{red} & $R$\cite{ilina_comparative_2013}\cellcolor{red} & $R$\cite{ilina_comparative_2013}\cellcolor{red} &  &  &  & \\ \hline
+EAI OSDD271 & $R$\cite{vellarikkal_draft_2013-3}\cellcolor{red} & $R$\cite{vellarikkal_draft_2013-3}\cellcolor{red} & $R$\cite{vellarikkal_draft_2013-3}\cellcolor{red} & $R$\cite{vellarikkal_draft_2013-3}\cellcolor{red} &  &  &  &  &  & $R$\cite{vellarikkal_draft_2013-3}\cellcolor{red} &  &  & $R$\cite{vellarikkal_draft_2013-3}\cellcolor{red} & \\ \hline
+EAS054 & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\ce [...]
+Erdman & $S$\cite{osorio_evidence_2013}\cellcolor{green}$S$\cite{ordway_drug-resistant_1995}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green}$S$\cite{ordway_drug-resistant_1995}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green}$S$\cite{ordway_drug-resistant_1995}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green}$S$\cite{ordway_drug-resistant_1995}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evide [...]
+FJ05194 & $R$\cite{lin_draft_2013}\cellcolor{red} & $R$\cite{lin_draft_2013}\cellcolor{red} & $R$\cite{lin_draft_2013}\cellcolor{red} & $R$\cite{lin_draft_2013}\cellcolor{red} & $R$\cite{lin_draft_2013}\cellcolor{red} & $R$\cite{lin_draft_2013}\cellcolor{red} & $R$\cite{lin_draft_2013}\cellcolor{red} &  & $R$\cite{lin_draft_2013}\cellcolor{red} &  &  &  &  & \\ \hline
+GM 1503 & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\c [...]
+GuangZ0019 & $R$\cite{lin_draft_2013}\cellcolor{red} & $R$\cite{lin_draft_2013}\cellcolor{red} & $R$\cite{lin_draft_2013}\cellcolor{red} & $R$\cite{lin_draft_2013}\cellcolor{red} & $R$\cite{lin_draft_2013}\cellcolor{red} & $R$\cite{lin_draft_2013}\cellcolor{red} & $R$\cite{lin_draft_2013}\cellcolor{red} &  & $R$\cite{lin_draft_2013}\cellcolor{red} &  &  &  &  & \\ \hline
+H37Ra & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cel [...]
+H37Ra WGS & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013} [...]
+H37Rv & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cel [...]
+HKBS1 & $S$\cite{tsui_genome_2013}\cellcolor{green} & $S$\cite{tsui_genome_2013}\cellcolor{green} & $S$\cite{tsui_genome_2013}\cellcolor{green} & $S$\cite{tsui_genome_2013}\cellcolor{green} &  &  &  &  &  &  &  &  &  & \\ \hline
+HN878 & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $S$\cite{ioerger_non-clonality_2010} [...]
+K85 & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellc [...]
+KZN 1435 & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $R$\cite{osorio_evidence_2013}\cellcolor{red} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $R$\cite{osorio_evidence_2013}\cellcolor{red} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} &  &  &  &  &  &  &  & \\ \hline
+KZN 4207 & $S$\cite{osorio_evidence_2013}\cellcolor{green}$S$\cite{ioerger_genome_2009}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green}$S$\cite{ioerger_genome_2009}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green}$S$\cite{ioerger_genome_2009}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green}$S$\cite{ioerger_genome_2009}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} [...]
+KZN 4207 Broad & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_ [...]
+KZN 605 & $R$\cite{osorio_evidence_2013}\cellcolor{red} & $R$\cite{osorio_evidence_2013}\cellcolor{red} & $R$\cite{osorio_evidence_2013}\cellcolor{red} & $R$\cite{osorio_evidence_2013}\cellcolor{red} & $R$\cite{osorio_evidence_2013}\cellcolor{red} & $R$\cite{osorio_evidence_2013}\cellcolor{red} &  &  &  &  &  &  &  & \\ \hline
+KZN R506 & $R$\cite{ioerger_genome_2009}\cellcolor{red} & $R$\cite{ioerger_genome_2009}\cellcolor{red} &  & $R$\cite{ioerger_genome_2009}\cellcolor{red} & $R$\cite{ioerger_genome_2009}\cellcolor{red} & $R$\cite{ioerger_genome_2009}\cellcolor{red} &  &  &  &  &  &  &  & \\ \hline
+KZN V2475 & $R$\cite{ioerger_genome_2009}\cellcolor{red} & $R$\cite{ioerger_genome_2009}\cellcolor{red} &  & $R$\cite{ioerger_genome_2009}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+MTB-476 & $S$\cite{kairov_whole_2013}\cellcolor{green} & $S$\cite{kairov_whole_2013}\cellcolor{green} & $S$\cite{kairov_whole_2013}\cellcolor{green} & $S$\cite{kairov_whole_2013}\cellcolor{green} & $S$\cite{kairov_whole_2013}\cellcolor{green} & $S$\cite{kairov_whole_2013}\cellcolor{green} & $S$\cite{kairov_whole_2013}\cellcolor{green} & $S$\cite{kairov_whole_2013}\cellcolor{green} & $S$\cite{kairov_whole_2013}\cellcolor{green} & $S$\cite{kairov_whole_2013}\cellcolor{green} & $S$\cite{kai [...]
+MTB-489 & $S$\cite{kairov_whole_2013}\cellcolor{green} & $S$\cite{kairov_whole_2013}\cellcolor{green} & $S$\cite{kairov_whole_2013}\cellcolor{green} & $S$\cite{kairov_whole_2013}\cellcolor{green} & $S$\cite{kairov_whole_2013}\cellcolor{green} & $S$\cite{kairov_whole_2013}\cellcolor{green} & $S$\cite{kairov_whole_2013}\cellcolor{green} & $S$\cite{kairov_whole_2013}\cellcolor{green} & $S$\cite{kairov_whole_2013}\cellcolor{green} & $S$\cite{kairov_whole_2013}\cellcolor{green} & $S$\cite{kai [...]
+OM-V02 005 &  & $R$\cite{tateishi_whole-genome_2013}\cellcolor{red} &  & $R$\cite{tateishi_whole-genome_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+OSDD105 & $R$\cite{vellarikkal_draft_2013-2}\cellcolor{red} & $R$\cite{vellarikkal_draft_2013-2}\cellcolor{red} & $R$\cite{vellarikkal_draft_2013-2}\cellcolor{red} & $R$\cite{vellarikkal_draft_2013-2}\cellcolor{red} & $S$\cite{vellarikkal_draft_2013-2}\cellcolor{green} & $S$\cite{vellarikkal_draft_2013-2}\cellcolor{green} & $S$\cite{vellarikkal_draft_2013-2}\cellcolor{green} & $S$\cite{vellarikkal_draft_2013-2}\cellcolor{green} & $S$\cite{vellarikkal_draft_2013-2}\cellcolor{green} & $R$\ [...]
+OSDD493 & $R$\cite{vellarikkal_draft_2013-1}\cellcolor{red} & $R$\cite{vellarikkal_draft_2013-1}\cellcolor{red} & $R$\cite{vellarikkal_draft_2013-1}\cellcolor{red} & $R$\cite{vellarikkal_draft_2013-1}\cellcolor{red} & $R$\cite{vellarikkal_draft_2013-1}\cellcolor{red} & $R$\cite{vellarikkal_draft_2013-1}\cellcolor{red} & $S$\cite{vellarikkal_draft_2013-1}\cellcolor{green} & $S$\cite{vellarikkal_draft_2013-1}\cellcolor{green} & $R$\cite{vellarikkal_draft_2013-1}\cellcolor{red} & $S$\cite{v [...]
+OSDD515 & $R$\cite{vellarikkal_draft_2013}\cellcolor{red} & $R$\cite{vellarikkal_draft_2013}\cellcolor{red} & $R$\cite{vellarikkal_draft_2013}\cellcolor{red} & $R$\cite{vellarikkal_draft_2013}\cellcolor{red} & $S$\cite{vellarikkal_draft_2013}\cellcolor{green} & $S$\cite{vellarikkal_draft_2013}\cellcolor{green} & $R$\cite{vellarikkal_draft_2013}\cellcolor{red} & $S$\cite{vellarikkal_draft_2013}\cellcolor{green} & $R$\cite{vellarikkal_draft_2013}\cellcolor{red} & $R$\cite{vellarikkal_draft [...]
+PanR0201 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0202 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0203 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0205 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0206 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0207 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0208 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0209 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0301 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0304 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0305 & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0306 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0307 & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0308 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0309 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0311 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0313 & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0314 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0315 & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0316 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0317 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0401 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0402 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0403 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0404 & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0405 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0407 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0408 & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0409 & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0410 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0411 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0412 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0501 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0503 & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0505 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0601 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0602 & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0603 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0604 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0605 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0606 & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0607 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0609 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0610 & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0611 & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0702 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0703 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0704 & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0707 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0708 & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0801 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0802 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0803 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0804 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0805  & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0902 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0903 & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0904 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0906 & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0907 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0908 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR0909 &  & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR1005 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR1006 & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR1007 & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} & $S$\cite{lanzas_multidrug-resistant_2013}\cellcolor{green} & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+PanR1101 &  & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  & $R$\cite{lanzas_multidrug-resistant_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+R1207 &  & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+R1390 &  & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+R1441 &  & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+R1505 &  & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+R1746 &  & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+R1842 &  & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+R1909 &  & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+RGTB327 &  &  &  & $R$\cite{osorio_evidence_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+RGTB423 & $R$\cite{osorio_evidence_2013}\cellcolor{red} &  & $R$\cite{osorio_evidence_2013}\cellcolor{red} & $R$\cite{osorio_evidence_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+S96-129 & $R:4$\cite{sandegren_genomic_2011}\cellcolor{red} & $S$\cite{sandegren_genomic_2011}\cellcolor{green} & $S$\cite{sandegren_genomic_2011}\cellcolor{green} & $R$\cite{sandegren_genomic_2011}\cellcolor{red} & $S$\cite{sandegren_genomic_2011}\cellcolor{green} &  &  & $S$\cite{sandegren_genomic_2011}\cellcolor{green} &  & $S$\cite{sandegren_genomic_2011}\cellcolor{green} &  &  &  & \\ \hline
+SP21 & $R$\cite{shitikov_unusual_2014}\cellcolor{red} & $R$\cite{shitikov_unusual_2014}\cellcolor{red} & $R$\cite{shitikov_unusual_2014}\cellcolor{red} & $R$\cite{shitikov_unusual_2014}\cellcolor{red} & $R$\cite{shitikov_unusual_2014}\cellcolor{red} &  & $R$\cite{shitikov_unusual_2014}\cellcolor{red} & $R$\cite{shitikov_unusual_2014}\cellcolor{red} & $S$\cite{shitikov_unusual_2014}\cellcolor{green} & $S$\cite{shitikov_unusual_2014}\cellcolor{green} &  &  &  & \\ \hline
+SUMu001 & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\c [...]
+SUMu002 & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\c [...]
+SUMu003 & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\c [...]
+SUMu004 & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\c [...]
+SUMu005 & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\c [...]
+SUMu006 & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\c [...]
+SUMu007 & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\c [...]
+SUMu008 & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\c [...]
+SUMu009 & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\c [...]
+SUMu010 & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\c [...]
+SUMu011 & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\c [...]
+SUMu012 & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\c [...]
+T17 & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellc [...]
+T46 & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellc [...]
+T92 & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellcolor{green} & $S$\cite{osorio_evidence_2013}\cellc [...]
+UM 1072388579 & $R$\cite{ng_draft_2013}\cellcolor{red} & $R$\cite{ng_draft_2013}\cellcolor{red} & $S$\cite{ng_draft_2013}\cellcolor{green} & $R$\cite{ng_draft_2013}\cellcolor{red} & $R$\cite{ng_draft_2013}\cellcolor{red} & $R$\cite{ng_draft_2013}\cellcolor{red} & $R$\cite{ng_draft_2013}\cellcolor{red} & $R$\cite{ng_draft_2013}\cellcolor{red} & $R$\cite{ng_draft_2013}\cellcolor{red} &  &  & $R$\cite{ng_draft_2013}\cellcolor{red} & $S$\cite{ng_draft_2013}\cellcolor{green} & \\ \hline
+W-148 &  & $R$\cite{broad_institute_broad_????}\cellcolor{red} &  & $R$\cite{broad_institute_broad_????}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+WX1 & $R$\cite{wu_genome-wide_2013}\cellcolor{red} & $R$\cite{wu_genome-wide_2013}\cellcolor{red} & $R$\cite{wu_genome-wide_2013}\cellcolor{red} & $R$\cite{wu_genome-wide_2013}\cellcolor{red} & $R$\cite{wu_genome-wide_2013}\cellcolor{red} & $S$\cite{wu_genome-wide_2013}\cellcolor{green} & $S$\cite{wu_genome-wide_2013}\cellcolor{green} & $S$\cite{wu_genome-wide_2013}\cellcolor{green} &  &  &  &  &  & \\ \hline
+WX3 & $R$\cite{wu_genome-wide_2013}\cellcolor{red} & $R$\cite{wu_genome-wide_2013}\cellcolor{red} & $R$\cite{wu_genome-wide_2013}\cellcolor{red} & $R$\cite{wu_genome-wide_2013}\cellcolor{red} & $R$\cite{wu_genome-wide_2013}\cellcolor{red} & $S$\cite{wu_genome-wide_2013}\cellcolor{green} & $S$\cite{wu_genome-wide_2013}\cellcolor{green} & $S$\cite{wu_genome-wide_2013}\cellcolor{green} &  &  &  &  &  & \\ \hline
+X122 &  & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} &  &  & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} &  &  &  &  & \\ \hline
+X132 & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{gr [...]
+X156 & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{gr [...]
+X189 & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} &  & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} &  &  &  &  & \\ \hline
+X28 & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green [...]
+X29 & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{g [...]
+X85 &  & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $S$\cite{ioerger_non-clonality_2010}\cellcolor{green} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} & $R$\cite{ioerger_non-clonality_2010}\cellcolor{red} &  &  &  &  & \\ \hline
+XDR1219 & $R$\cite{wu_genome-wide_2013}\cellcolor{red} & $R$\cite{wu_genome-wide_2013}\cellcolor{red} & $R$\cite{wu_genome-wide_2013}\cellcolor{red} & $R$\cite{wu_genome-wide_2013}\cellcolor{red} & $R$\cite{wu_genome-wide_2013}\cellcolor{red} & $R$\cite{wu_genome-wide_2013}\cellcolor{red} & $R$\cite{wu_genome-wide_2013}\cellcolor{red} & $R$\cite{wu_genome-wide_2013}\cellcolor{red} &  &  &  &  &  & \\ \hline
+XDR1221 & $R$\cite{wu_genome-wide_2013}\cellcolor{red} & $R$\cite{wu_genome-wide_2013}\cellcolor{red} & $R$\cite{wu_genome-wide_2013}\cellcolor{red} & $R$\cite{wu_genome-wide_2013}\cellcolor{red} & $R$\cite{wu_genome-wide_2013}\cellcolor{red} & $R$\cite{wu_genome-wide_2013}\cellcolor{red} & $R$\cite{wu_genome-wide_2013}\cellcolor{red} & $R$\cite{wu_genome-wide_2013}\cellcolor{red} &  &  &  &  &  & \\ \hline
+\end{tabular}
+\end{table}
+\small
+\bibliography{references}
+\bibliographystyle{plain}
+\end{document}
diff --git a/other/res_data/mtu/geo-tree-t1.dot b/other/res_data/mtu/geo-tree-t1.dot
new file mode 100644
index 0000000..e69de29
diff --git a/other/res_data/mtu/references.bib b/other/res_data/mtu/references.bib
new file mode 100644
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+++ b/other/res_data/mtu/references.bib
@@ -0,0 +1,384 @@
+
+ at article{tateishi_whole-genome_2013,
+	title = {Whole-Genome Sequence of the Potentially Hypertransmissible Multidrug-Resistant Mycobacterium tuberculosis Beijing Strain {OM-V02\_005}},
+	volume = {1},
+	issn = {, 2169-8287},
+	url = {http://genomea.asm.org/content/1/4/e00608-13},
+	doi = {10.1128/genomeA.00608-13},
+	abstract = {We report the draft genome sequence of Mycobacterium tuberculosis Beijing strain {OM-V02\_005}, which exhibits possible hypertransmissible characteristics among the population of patients with multidrug-resistant tuberculosis in Osaka Prefecture, the largest urban area in western Japan.},
+	language = {en},
+	number = {4},
+	urldate = {2014-02-22},
+	journal = {Genome Announcements},
+	author = {Tateishi, Yoshitaka and Tamaru, Aki and Ogura, Yoshitoshi and Niki, Mamiko and Wada, Takayuki and Yamamoto, Taro and Hirata, Kazuto and Hayashi, Tetsuya and Matsumoto, Sohkichi},
+	month = aug,
+	year = {2013},
+	note = {{PMID:} 23929492},
+	pages = {e00608--13},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\CH9JD4R2\Tateishi et al. - 2013 - Whole-Genome Sequence of the Potentially Hypertran.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\SAP92GPR\e00608-13.html:text/html}
+},
+
+ at article{roetzer_whole_2013,
+	title = {Whole Genome Sequencing versus Traditional Genotyping for Investigation of a Mycobacterium tuberculosis Outbreak: A Longitudinal Molecular Epidemiological Study},
+	volume = {10},
+	shorttitle = {Whole Genome Sequencing versus Traditional Genotyping for Investigation of a Mycobacterium tuberculosis Outbreak},
+	url = {http://dx.doi.org/10.1371/journal.pmed.1001387},
+	doi = {10.1371/journal.pmed.1001387},
+	abstract = {In an outbreak investigation of Mycobacterium tuberculosis comparing whole genome sequencing ({WGS)} with traditional genotyping, Stefan Niemann and colleagues found that classical genotyping falsely clustered some strains, and {WGS} better reflected contact tracing.},
+	number = {2},
+	urldate = {2014-02-22},
+	journal = {{PLoS} Med},
+	author = {Roetzer, Andreas and Diel, Roland and Kohl, Thomas A. and Rückert, Christian and Nübel, Ulrich and Blom, Jochen and Wirth, Thierry and Jaenicke, Sebastian and Schuback, Sieglinde and Rüsch-Gerdes, Sabine and Supply, Philip and Kalinowski, Jörn and Niemann, Stefan},
+	month = feb,
+	year = {2013},
+	pages = {e1001387},
+	file = {PLoS Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\8PEW3JHG\Roetzer et al. - 2013 - Whole Genome Sequencing versus Traditional Genotyp.pdf:application/pdf;PLoS Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\54HDJJRI\infodoi10.1371journal.pmed.html:text/html}
+},
+
+ at inproceedings{kairov_whole_2013,
+	title = {Whole genome sequencing of M. tuberculosis in Kazakhstan: preliminary data},
+	author = {Kairov, U. and Rakhimova, S. and Kozhamkulov, U. and Askapuli, A. and Zhabagin, M. and Bismilda, V. and Chingissova, L. and Akilzhanova, A.},
+	year = {2013}
+},
+
+ at article{shitikov_unusual_2014,
+	title = {Unusual Large-Scale Chromosomal Rearrangements in Mycobacterium tuberculosis Beijing {B0/W148} Cluster Isolates},
+	volume = {9},
+	url = {http://dx.doi.org/10.1371/journal.pone.0084971},
+	doi = {10.1371/journal.pone.0084971},
+	abstract = {The Mycobacterium tuberculosis ({MTB)} Beijing family isolates are geographically widespread, and there are examples of Beijing isolates that are hypervirulent and associated with drug resistance. One-fourth of Beijing genotype isolates found in Russia belong to the {B0/W148} group. The aim of the present study was to investigate features of these endemic strains on a genomic level. Four Russian clinical isolates of this group were sequenced, and the data obtained was compar [...]
+	number = {1},
+	urldate = {2014-02-22},
+	journal = {{PLoS} {ONE}},
+	author = {Shitikov, Egor A. and Bespyatykh, Julia A. and Ischenko, Dmitry S. and Alexeev, Dmitry G. and Karpova, Irina Y. and Kostryukova, Elena S. and Isaeva, Yulia D. and Nosova, Elena Y. and Mokrousov, Igor V. and Vyazovaya, Anna A. and Narvskaya, Olga V. and Vishnevsky, Boris I. and Otten, Tatiana F. and Zhuravlev, Valery Y. and Yablonsky, Peter K. and Ilina, Elena N. and Govorun, Vadim M.},
+	month = jan,
+	year = {2014},
+	pages = {e84971},
+	file = {PLoS Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\U8TANVXF\Shitikov et al. - 2014 - Unusual Large-Scale Chromosomal Rearrangements in .pdf:application/pdf;PLoS Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\F5C4VT5F\infodoi10.1371journal.pone.html:text/html}
+},
+
+ at article{safi_transfer_2008,
+	title = {Transfer of {embB} Codon 306 Mutations into Clinical Mycobacterium tuberculosis Strains Alters Susceptibility to Ethambutol, Isoniazid, and Rifampin},
+	volume = {52},
+	issn = {0066-4804},
+	url = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2415778/},
+	doi = {10.1128/AAC.01486-07},
+	abstract = {Implicated as a major mechanism of ethambutol ({EMB)} resistance in clinical studies of Mycobacterium tuberculosis, mutations in codon 306 of the {embB} gene ({embB306)} have also been detected in {EMB-susceptible} clinical isolates. Other studies have found strong associations between {embB306} mutations and multidrug resistance, but not {EMB} resistance. We performed allelic exchange studies in {EMB-susceptible} and {EMB-resistant} clinical M. tuberculosis isolates to iden [...]
+	number = {6},
+	urldate = {2014-02-22},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Safi, Hassan and Sayers, Brendan and Hazbon, Manzour H. and Alland, David},
+	month = jun,
+	year = {2008},
+	note = {{PMID:} 18378710
+{PMCID:} {PMC2415778}},
+	pages = {2027--2034},
+	file = {PubMed Central Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\EENKQQEJ\Safi et al. - 2008 - Transfer of embB Codon 306 Mutations into Clinical.pdf:application/pdf}
+},
+
+ at article{ioerger_non-clonality_2010,
+	title = {The non-clonality of drug resistance in Beijing-genotype isolates of Mycobacterium tuberculosis from the Western Cape of South Africa},
+	volume = {11},
+	copyright = {2010 Ioerger et al; licensee {BioMed} Central Ltd.},
+	issn = {1471-2164},
+	url = {http://www.biomedcentral.com/1471-2164/11/670/abstract},
+	doi = {10.1186/1471-2164-11-670},
+	abstract = {The Beijing genotype of M. tuberculosis is a virulent strain that is disseminating worldwide and has a strong association with drug resistance. In the Western Cape of South Africa, epidemiological studies have identified the R220 cluster of the Beijing genotype as a major contributor to a recent outbreak of drug-resistant tuberculosis. Although the outbreak is considered to be due to clonal transmission, the relationship among drug resistant isolates has not yet been established.
+{PMID:} 21110864},
+	language = {en},
+	number = {1},
+	urldate = {2014-02-22},
+	journal = {{BMC} Genomics},
+	author = {Ioerger, Thomas R. and Feng, Yicheng and Chen, Xiaohua and Dobos, Karen M. and Victor, Thomas C. and Streicher, Elizabeth M. and Warren, Robin M. and Pittius, Nicolaas C. Gey van and Helden, Paul D. Van and Sacchettini, James C.},
+	month = nov,
+	year = {2010},
+	note = {{PMID:} 21110864},
+	pages = {670},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\4G429BGH\Ioerger et al. - 2010 - The non-clonality of drug resistance in Beijing-ge.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\946KUBJZ\670.html:text/html}
+},
+
+ at article{lanzas_multidrug-resistant_2013,
+	title = {Multidrug-resistant tuberculosis in panama is driven by clonal expansion of a multidrug-resistant Mycobacterium tuberculosis strain related to the {KZN} extensively drug-resistant M. tuberculosis strain from South Africa},
+	volume = {51},
+	issn = {1098-{660X}},
+	doi = {10.1128/JCM.01122-13},
+	abstract = {Multidrug-resistant tuberculosis ({MDR-TB)} is a significant health problem in Panama. The extent to which such cases are the result of primary or acquired resistance and the strain families involved are unknown. We performed whole-genome sequencing of a collection of 66 clinical {MDR} isolates, along with 31 drug-susceptible isolates, that were isolated in Panama between 2001 and 2010; 78\% of the {MDR} isolates belong to the Latin American-Mediterranean ({LAM)} family. Dru [...]
+	language = {eng},
+	number = {10},
+	journal = {Journal of clinical microbiology},
+	author = {Lanzas, Fedora and Karakousis, Petros C and Sacchettini, James C and Ioerger, Thomas R},
+	month = oct,
+	year = {2013},
+	note = {{PMID:} 23884993 
+{PMCID:} {PMC3811646}},
+	pages = {3277--3285}
+},
+
+ at article{maus_molecular_2005,
+	title = {Molecular Analysis of Cross-Resistance to Capreomycin, Kanamycin, Amikacin, and Viomycin in Mycobacterium tuberculosis},
+	volume = {49},
+	issn = {0066-4804, 1098-6596},
+	url = {http://aac.asm.org/content/49/8/3192},
+	doi = {10.1128/AAC.49.8.3192-3197.2005},
+	abstract = {Capreomycin, kanamycin, amikacin, and viomycin are drugs that are used to treat multidrug-resistant tuberculosis. Each inhibits translation, and cross-resistance to them is a concern during therapy. A recent study revealed that mutation of the {tlyA} gene, encoding a putative {rRNA} methyltransferase, confers capreomycin and viomycin resistance in Mycobacterium tuberculosis bacteria. Mutations in the {16S} {rRNA} gene (rrs) have been associated with resistance to each of the [...]
+	language = {en},
+	number = {8},
+	urldate = {2014-02-22},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Maus, Courtney E. and Plikaytis, Bonnie B. and Shinnick, Thomas M.},
+	month = aug,
+	year = {2005},
+	note = {{PMID:} 16048924},
+	pages = {3192--3197},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\ZNPCFPRP\Maus et al. - 2005 - Molecular Analysis of Cross-Resistance to Capreomy.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\AEDIJW6J\3192.html:text/html}
+},
+
+ at article{sandegren_genomic_2011,
+	title = {Genomic Stability over 9 Years of an Isoniazid Resistant Mycobacterium tuberculosis Outbreak Strain in Sweden},
+	volume = {6},
+	url = {http://dx.doi.org/10.1371/journal.pone.0016647},
+	doi = {10.1371/journal.pone.0016647},
+	abstract = {In molecular epidemiological studies of drug resistant Mycobacterium tuberculosis ({TB)} in Sweden a large outbreak of an isoniazid resistant strain was identified, involving 115 patients, mainly from the Horn of Africa. During the outbreak period, the genomic pattern of the outbreak strain has stayed virtually unchanged with regard to drug resistance, {IS6110} restriction fragment length polymorphism and spoligotyping patterns. Here we present the complete genome sequence a [...]
+	number = {1},
+	urldate = {2014-02-22},
+	journal = {{PLoS} {ONE}},
+	author = {Sandegren, Linus and Groenheit, Ramona and Koivula, Tuija and Ghebremichael, Solomon and Advani, Abdolreza and Castro, Elsie and Pennhag, Alexandra and Hoffner, Sven and Mazurek, Jolanta and Pawlowski, Andrzej and Kan, Boris and Bruchfeld, Judith and Melefors, Öjar and Källenius, Gunilla},
+	month = jan,
+	year = {2011},
+	pages = {e16647},
+	file = {PLoS Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\XT7U5UQ8\Sandegren et al. - 2011 - Genomic Stability over 9 Years of an Isoniazid Res.pdf:application/pdf;PLoS Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\VV9DAUB3\infodoi10.1371journal.pone.html:text/html}
+},
+
+ at article{tsui_genome_2013,
+	title = {Genome analysis of Mycobacterium  tuberculosis Beijing family strains},
+	volume = {19},
+	number = {5},
+	journal = {Research Fund for the Control of Infectious Diseases},
+	author = {Tsui, {SKW} and Chan, {RCY} and Kam, {KM} and Kwan, {HS} and Leung, {KS} and Fung, {KP} and Waye, {MMY} and Law, {PTW} and Lou, {SK} and Leung, {KK}},
+	year = {2013}
+},
+
+ at article{ioerger_genome_2009,
+	title = {Genome Analysis of Multi- and Extensively-Drug-Resistant Tuberculosis from {KwaZulu-Natal}, South Africa},
+	volume = {4},
+	url = {http://dx.doi.org/10.1371/journal.pone.0007778},
+	doi = {10.1371/journal.pone.0007778},
+	abstract = {The {KZN} strain family of Mycobacterium tuberculosis is a highly virulent strain endemic to the {KwaZulu-Natal} region of South Africa, which has recently experienced an outbreak of extensively-drug resistant tuberculosis. To investigate the causes and evolution of drug-resistance, we determined the {DNA} sequences of several clinical isolates - one drug-susceptible, one multi-drug resistant, and nine extensively drug-resistant - using whole-genome sequencing. Analysis of p [...]
+	number = {11},
+	urldate = {2014-02-22},
+	journal = {{PLoS} {ONE}},
+	author = {Ioerger, Thomas R. and Koo, Sunwoo and No, Eun-Gyu and Chen, Xiaohua and Larsen, Michelle H. and Jacobs, William R. , Jr. and Pillay, Manormoney and Sturm, A. Willem and Sacchettini, James C.},
+	month = nov,
+	year = {2009},
+	pages = {e7778},
+	file = {PLoS Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\SKRTVNVC\Ioerger et al. - 2009 - Genome Analysis of Multi- and Extensively-Drug-Res.pdf:application/pdf;PLoS Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\SS5W7J2N\infodoi10.1371journal.pone.html:text/html}
+},
+
+ at article{osorio_evidence_2013,
+	title = {Evidence for Diversifying Selection in a Set of Mycobacterium tuberculosis Genes in Response to Antibiotic- and Nonantibiotic-Related Pressure},
+	issn = {0737-4038, 1537-1719},
+	url = {http://mbe.oxfordjournals.org/content/early/2013/03/26/molbev.mst038},
+	doi = {10.1093/molbev/mst038},
+	abstract = {Tuberculosis ({TB)} is a global health problem estimated to kill 1.4 million people per year. Recent advances in the genomics of the causative agents of {TB}, bacteria known as the Mycobacterium tuberculosis complex ({MTBC)}, have allowed a better comprehension of its population structure and provided the foundation for molecular evolution analyses. These studies are crucial for a better understanding of {TB}, including the variation of vaccine efficacy and disease outcome,  [...]
+	language = {en},
+	urldate = {2014-02-22},
+	journal = {Molecular Biology and Evolution},
+	author = {Osório, Nuno S. and Rodrigues, Fernando and Gagneux, Sebastien and Pedrosa, Jorge and Pinto-Carbó, Marta and Castro, António G. and Young, Douglas and Comas, Iñaki and Saraiva, Margarida},
+	month = feb,
+	year = {2013},
+	note = {{PMID:} 23449927},
+	keywords = {computational molecular biology, diversifying selection, drug resistance, evolution, genetic diversity, Genomics, Mycobacterium, Phylogeny, positive selection, tuberculosis},
+	pages = {mst038},
+	file = {molbev.mst038.full.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\QQFQSNK2\molbev.mst038.full.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\UZHAQXNI\molbev.mst038.html:text/html;Supplementary_Data_Osorioetal.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\6HABFXJI\Supplementary_Data_Osorioetal.pdf:application/pdf}
+},
+
+ at article{ordway_drug-resistant_1995,
+	title = {Drug-resistant strains of Mycobacterium tuberculosis exhibit a range of virulence for mice.},
+	volume = {63},
+	issn = {0019-9567},
+	url = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC173064/},
+	abstract = {A panel of clinical isolates of Mycobacterium tuberculosis, several of which were resistant to one or more antimycobacterial drugs, were tested for their capacity to give rise to active disease following aerogenic infection of normal immunocompetent mice. The panel exhibited a range of virulence in this model, which followed no clear trend in terms of geographical source, degree of drug resistance, or rate of growth in vitro. Several isolates grew very quickly over the first [...]
+	number = {2},
+	urldate = {2014-02-22},
+	journal = {Infection and Immunity},
+	author = {Ordway, D J and Sonnenberg, M G and Donahue, S A and Belisle, J T and Orme, I M},
+	month = feb,
+	year = {1995},
+	note = {{PMID:} 7822053
+{PMCID:} {PMC173064}},
+	pages = {741--743},
+	file = {PubMed Central Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\HX4E9RN5\Ordway et al. - 1995 - Drug-resistant strains of Mycobacterium tuberculos.pdf:application/pdf}
+},
+
+ at article{lin_draft_2013,
+	title = {Draft genome sequences of two super-extensively drug-resistant isolates of Mycobacterium tuberculosis from China},
+	volume = {347},
+	copyright = {© 2013 Federation of European Microbiological Societies. Published by John Wiley \& Sons Ltd. All rights reserved},
+	issn = {1574-6968},
+	url = {http://onlinelibrary.wiley.com/doi/10.1111/1574-6968.12238/abstract},
+	doi = {10.1111/1574-6968.12238},
+	abstract = {The prevalence of drug-resistance in Mycobacterium tuberculosis is already having a negative impact on the control of tuberculosis. We report the draft genome sequences of two super-extensively drug-resistant M. tuberculosis isolates from China, {FJ05194} (lineage 2) and {GuangZ0019} (lineage 4), and compare them with the {H37Rv} reference strain to identify possible sources of genetic variation associated with their extensive drug resistance. Our results suggest that their  [...]
+	language = {en},
+	number = {2},
+	urldate = {2014-02-22},
+	journal = {{FEMS} Microbiology Letters},
+	author = {Lin, Nan and Liu, Zhangyi and Zhou, Jie and Wang, Shihua and Fleming, Joy},
+	year = {2013},
+	keywords = {multidrug resistance, single nucleotide polymorphisms, tuberculosis, whole genome shotgun sequencing},
+	pages = {93–96},
+	file = {Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\7UKVI3W3\abstract.html:text/html}
+},
+
+ at article{ng_draft_2013,
+	title = {Draft Genome Sequence of the First Isolate of Extensively Drug-Resistant ({XDR)} Mycobacterium tuberculosis in Malaysia},
+	volume = {1},
+	issn = {, 2169-8287},
+	url = {http://genomea.asm.org/content/1/1/e00056-12},
+	doi = {10.1128/genomeA.00056-12},
+	abstract = {The emergence of the global threat of extensively drug-resistant ({XDR)} Mycobacterium tuberculosis reveals weaknesses in tuberculosis management and diagnostic services. We report the draft genome sequence of the first extensively drug-resistant Mycobacterium tuberculosis strain isolated in Malaysia. The sequence was also compared against a reference strain to elucidate the polymorphism that is related to their extensive resistance.},
+	language = {en},
+	number = {1},
+	urldate = {2014-02-21},
+	journal = {Genome Announcements},
+	author = {Ng, Kee Peng and Yew, Su Mei and Chan, Chai Ling and Chong, Jennifer and Tang, Soo Nee and Soo-Hoo, Tuck Soon and Na, Shiang Ling and Hassan, Hamimah and Ngeow, Yun Fong and Hoh, Chee Choong and Lee, Kok Wei and Yee, Wai Yan},
+	month = feb,
+	year = {2013},
+	note = {{PMID:} 23405310},
+	pages = {e00056--12},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\KG8TPJG2\Ng et al. - 2013 - Draft Genome Sequence of the First Isolate of Exte.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\RCIB2UV4\e00056-12.html:text/html}
+},
+
+ at article{vellarikkal_draft_2013,
+	title = {Draft Genome Sequence of Multidrug-Resistant Mycobacterium tuberculosis Clinical Isolate {OSDD515}, Belonging to the Uganda I Genotype},
+	volume = {1},
+	issn = {, 2169-8287},
+	url = {http://genomea.asm.org/content/1/6/e00750-13},
+	doi = {10.1128/genomeA.00750-13},
+	abstract = {We describe the genome sequencing and analysis of a clinical isolate of the multidrug-resistant Mycobacterium tuberculosis Uganda I genotype ({OSDD515)} from India.},
+	language = {en},
+	number = {6},
+	urldate = {2014-02-22},
+	journal = {Genome Announcements},
+	author = {Vellarikkal, Shamsudheen Karuthedath and Singh, Ajay Vir and Singh, Pravin Kumar and Garg, Parul and Katoch, Viswa Mohan and Katoch, Kiran and Chauhan, D. S. and Sivasubbu, Sridhar and Scaria, Vinod},
+	month = dec,
+	year = {2013},
+	note = {{PMID:} 24265488},
+	pages = {e00750--13},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\D43PMXGZ\Vellarikkal et al. - 2013 - Draft Genome Sequence of Multidrug-Resistant Mycob.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\HW42WS7D\e00750-13.html:text/html}
+},
+
+ at article{vellarikkal_draft_2013-1,
+	title = {Draft Genome Sequence of an Extensively Drug-Resistant Mycobacterium tuberculosis Clinical Isolate of the Ural Strain {OSDD493}},
+	volume = {1},
+	issn = {, 2169-8287},
+	url = {http://genomea.asm.org/content/1/6/e00928-13},
+	doi = {10.1128/genomeA.00928-13},
+	abstract = {We describe the genome sequencing and analysis of a clinical isolate of Mycobacterium tuberculosis belonging to the Ural strain {OSDD493} from India.},
+	language = {en},
+	number = {6},
+	urldate = {2014-02-22},
+	journal = {Genome Announcements},
+	author = {Vellarikkal, Shamsudheen Karuthedath and Singh, Ajay Vir and Singh, Pravin Kumar and Garg, Parul and Katoch, Viswa Mohan and Katoch, Kiran and Chauhan, D. S. and Scaria, Vinod and Sivasubbu, Sridhar},
+	month = dec,
+	year = {2013},
+	note = {{PMID:} 24201204},
+	pages = {e00928--13},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\FH7IHU2M\Vellarikkal et al. - 2013 - Draft Genome Sequence of an Extensively Drug-Resis.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\HIK7WGHQ\e00928-13.html:text/html}
+},
+
+ at article{vellarikkal_draft_2013-2,
+	title = {Draft Genome Sequence of a Multidrug-Resistant Clinical Isolate of Mycobacterium tuberculosis Belonging to a Novel Spoligotype},
+	volume = {1},
+	issn = {2169-8287},
+	url = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3837177/},
+	doi = {10.1128/genomeA.00965-13},
+	abstract = {We describe the genome sequencing and analysis of a multidrug-resistant ({MDR)} clinical isolate of Mycobacterium tuberculosis, strain {OSDD105} from India, belonging to a novel spoligotype.},
+	number = {6},
+	urldate = {2014-02-21},
+	journal = {Genome Announcements},
+	author = {Vellarikkal, Shamsudheen Karuthedath and Singh, Ajay Vir and Singh, Pravin Kumar and Garg, Parul and Katoch, Viswa Mohan and Katoch, Kiran and Chauhan, D. S. and Sivasubbu, Sridhar and Scaria, Vinod},
+	month = nov,
+	year = {2013},
+	note = {{PMID:} 24265496
+{PMCID:} {PMC3837177}},
+	file = {PubMed Central Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\JXQNGJGU\Vellarikkal et al. - 2013 - Draft Genome Sequence of a Multidrug-Resistant Cli.pdf:application/pdf}
+},
+
+ at article{vellarikkal_draft_2013-3,
+	title = {Draft Genome Sequence of a Clinical Isolate of Multidrug-Resistant Mycobacterium tuberculosis East African Indian Strain {OSDD271}},
+	volume = {1},
+	issn = {, 2169-8287},
+	url = {http://genomea.asm.org/content/1/4/e00541-13},
+	doi = {10.1128/genomeA.00541-13},
+	abstract = {We describe the genome sequencing and analysis of a clinical isolate of Mycobacterium tuberculosis East African Indian ({EAI)} strain {OSDD271} from India.},
+	language = {en},
+	number = {4},
+	urldate = {2014-02-22},
+	journal = {Genome Announcements},
+	author = {Vellarikkal, Shamsudheen Karuthedath and Patowary, Ashok and Singh, Meghna and Periwal, Vinita and Singh, Ajay Vir and Singh, Pravin Kumar and Garg, Parul and Katoch, Viswa Mohan and Katoch, Kiran and Jangir, Pramod Kumar and Sharma, Rakesh and Chauhan, D. S. and Scaria, Vinod and Sivasubbu, Sridhar},
+	month = aug,
+	year = {2013},
+	note = {{PMID:} 23908284},
+	pages = {e00541--13},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\XMWBEREN\Vellarikkal et al. - 2013 - Draft Genome Sequence of a Clinical Isolate of Mul.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\CHDWPIEP\e00541-13.html:text/html}
+},
+
+ at article{zhang_complete_2011,
+	title = {Complete Genome Sequences of Mycobacterium tuberculosis Strains {CCDC5079} and {CCDC5080}, Which Belong to the Beijing Family},
+	volume = {193},
+	issn = {0021-9193, 1098-5530},
+	url = {http://jb.asm.org/content/193/19/5591},
+	doi = {10.1128/JB.05452-11},
+	abstract = {Mycobacterium tuberculosis is one of most prevalent pathogens in the world. Drug-resistant strains of this pathogen caused by the excessive use of antibiotics have long posed serious threats to public health worldwide. A broader picture of drug resistance mechanisms at the genomic level can be obtained only with large-scale comparative genomic methodology. Two closely related Beijing family isolates, one resistant to four first-line drugs ({CCDC5180)} and one sensitive to th [...]
+	language = {en},
+	number = {19},
+	urldate = {2014-02-22},
+	journal = {Journal of Bacteriology},
+	author = {Zhang, Yuanyuan and Chen, Chen and Liu, Jie and Deng, Haijun and Pan, Aizhen and Zhang, Lishui and Zhao, Xiuqin and Huang, Mingxiang and Lu, Bing and Dong, Haiyan and Du, Pengcheng and Chen, Weijun and Wan, {KangLin}},
+	month = oct,
+	year = {2011},
+	note = {{PMID:} 21914894},
+	pages = {5591--5592},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\573WSKNS\Zhang et al. - 2011 - Complete Genome Sequences of Mycobacterium tubercu.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\CHWBKQ4M\5591.html:text/html}
+},
+
+ at article{ilina_comparative_2013,
+	title = {Comparative Genomic Analysis of Mycobacterium tuberculosis Drug Resistant Strains from Russia},
+	volume = {8},
+	url = {http://dx.doi.org/10.1371/journal.pone.0056577},
+	doi = {10.1371/journal.pone.0056577},
+	abstract = {Tuberculosis caused by multidrug-resistant ({MDR)} and extensively drug-resistant ({XDR)} Mycobacterium tuberculosis ({MTB)} strains is a growing problem in many countries. The availability of the complete nucleotide sequences of several {MTB} genomes allows to use the comparative genomics as a tool to study the relationships of strains and differences in their evolutionary history including acquisition of drug-resistance. In our work, we sequenced three genomes of Russian { [...]
+	number = {2},
+	urldate = {2014-02-22},
+	journal = {{PLoS} {ONE}},
+	author = {Ilina, Elena N. and Shitikov, Egor A. and Ikryannikova, Larisa N. and Alekseev, Dmitry G. and Kamashev, Dmitri E. and Malakhova, Maja V. and Parfenova, Tatjana V. and Afanas’ev, Maxim V. and Ischenko, Dmitry S. and Bazaleev, Nikolai A. and Smirnova, Tatjana G. and Larionova, Elena E. and Chernousova, Larisa N. and Beletsky, Alexey V. and Mardanov, Andrei V. and Ravin, Nikolai V. and Skryabin, Konstantin G. and Govorun, Vadim M.},
+	month = feb,
+	year = {2013},
+	pages = {e56577},
+	file = {PLoS Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\6TUTV36R\Ilina et al. - 2013 - Comparative Genomic Analysis of Mycobacterium tube.pdf:application/pdf;PLoS Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\NREPH3QV\infodoi10.1371journal.pone.html:text/html}
+},
+
+ at misc{broad_institute_broad_????,
+	title = {Broad Institute Tuberculosis},
+	url = {http://www.broadinstitute.org/annotation/genome/mycobacterium_tuberculosis_spp/GenomeDescriptions.html},
+	author = {Broad Institute}
+},
+
+ at article{wu_genome-wide_2013,
+	title = {A genome-wide analysis of multidrug-resistant and extensively drug-resistant strains of Mycobacterium tuberculosis Beijing genotype},
+	volume = {288},
+	issn = {1617-4615, 1617-4623},
+	url = {http://link.springer.com/article/10.1007/s00438-013-0758-4},
+	doi = {10.1007/s00438-013-0758-4},
+	abstract = {The Beijing genotype of Mycobacterium tuberculosis ({MTB)} is one of the most successful {MTB} lineages that has disseminated in the world. In China, the rate of multidrug-resistant ({MDR)} tuberculosis is significantly higher than the global average rate, and the Beijing genotype strains take the largest share of {MDR} strains. To study the genetic basis of the epidemiological findings that Beijing genotype has often been associated with tuberculosis outbreaks and drug resi [...]
+	language = {en},
+	number = {9},
+	urldate = {2014-02-21},
+	journal = {Molecular Genetics and Genomics},
+	author = {Wu, Wei and Zheng, Huajun and Zhang, Lu and Wen, Zilu and Zhang, Shulin and Pei, Hao and Yu, Guohua and Zhu, Yongqiang and Cui, Zhenling and Hu, Zhongyi and Wang, Honghai and Li, Yao},
+	month = sep,
+	year = {2013},
+	keywords = {Animal Genetics and Genomics, Beijing genotype, Biochemistry, general, Cell Biology, {DNA} repair, Genome, Microbial Genetics and Genomics, Mycobacterium tuberculosis, Plant Genetics \& Genomics, Resistance},
+	pages = {425--436},
+	file = {Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\HBKG7FXK\10.html:text/html}
+}
\ No newline at end of file
diff --git a/other/res_data/mtu/res-data.txt b/other/res_data/mtu/res-data.txt
new file mode 100644
index 0000000..44ba41c
--- /dev/null
+++ b/other/res_data/mtu/res-data.txt
@@ -0,0 +1,1106 @@
+ng_draft_2013	Draft Genome Sequence of the First Isolate of Extensively Drug-Resistant ({XDR)} Mycobacterium tuberculosis in Malaysia
+Isoniazid	UM_1072388579	R
+Rifampicin	UM_1072388579	R
+Amikacin	UM_1072388579	R
+Capreomycin	UM_1072388579	R
+Ciprofloxacin	UM_1072388579	R
+Ethionamide	UM_1072388579	R
+Kanamycin	UM_1072388579	R
+Ofloxacin	UM_1072388579	R
+Streptomycin	UM_1072388579	R
+Ethambutol	UM_1072388579	S
+PAS	UM_1072388579	S
+
+vellarikkal_draft_2013-2	Draft Genome Sequence of a Multidrug-Resistant Clinical Isolate of Mycobacterium tuberculosis Belonging to a Novel Spoligotype
+Isoniazid	OSDD105	R
+Rifampicin	OSDD105	R
+Ethambutol	OSDD105	R
+Streptomycin	OSDD105	R
+Cycloserine	OSDD105	R
+Pyrazinamide	OSDD105	R
+Ofloxacin	OSDD105	S
+Kanamycin	OSDD105	S
+Ethionamide	OSDD105	S
+Amikacin	OSDD105	S
+Capreomycin	OSDD105	S
+PAS	OSDD105	S
+
+wu_genome-wide_2013	A genome-wide analysis of multidrug-resistant and extensively drug-resistant strains of Mycobacterium tuberculosis Beijing genotype
+Isoniazid	XDR1219	R
+Rifampicin	XDR1219	R
+Ethambutol	XDR1219	R
+Streptomycin	XDR1219	R
+Ofloxacin	XDR1219	R
+Capreomycin	XDR1219	R
+Amikacin	XDR1219	R
+Kanamycin	XDR1219	R
+Isoniazid	XDR1221	R
+Rifampicin	XDR1221	R
+Ethambutol	XDR1221	R
+Streptomycin	XDR1221	R
+Ofloxacin	XDR1221	R
+Capreomycin	XDR1221	R
+Amikacin	XDR1221	R
+Kanamycin	XDR1221	R
+Isoniazid	WX1	R
+Rifampicin	WX1	R
+Ethambutol	WX1	R
+Streptomycin	WX1	R
+Ofloxacin	WX1	R
+Capreomycin	WX1	S
+Amikacin	WX1	S
+Kanamycin	WX1	S
+Isoniazid	WX3	R
+Rifampicin	WX3	R
+Ethambutol	WX3	R
+Streptomycin	WX3	R
+Ofloxacin	WX3	R
+Capreomycin	WX3	S
+Amikacin	WX3	S
+Kanamycin	WX3	S
+
+vellarikkal_draft_2013	Draft Genome Sequence of Multidrug-Resistant Mycobacterium tuberculosis Clinical Isolate OSDD515, Belonging to the Uganda I Genotype
+Isoniazid	OSDD515	R
+Rifampicin	OSDD515	R
+Ethambutol	OSDD515	R
+Streptomycin	OSDD515	R
+Cycloserine	OSDD515	R
+Ethionamide	OSDD515	R
+Capreomycin	OSDD515	R
+Pyrazinamide	OSDD515	R
+Ofloxacin	OSDD515	S
+Amikacin	OSDD515	S
+Kanamycin	OSDD515	S
+PAS	OSDD515	S
+
+safi_transfer_2008	Transfer of {embB} Codon 306 Mutations into Clinical Mycobacterium tuberculosis Strains Alters Susceptibility to Ethambutol, Isoniazid, and Rifampin
+Isoniazid	210	S
+Rifampicin	210	S
+Ethambutol	210	S
+
+maus_molecular_2005	Molecular Analysis of Cross-Resistance to Capreomycin, Kanamycin, Amikacin, and Viomycin in Mycobacterium tuberculosis
+Isoniazid	CDC1551	S
+Rifampicin	CDC1551	S
+Amikacin	CDC1551	S
+Streptomycin	CDC1551	S
+Kanamycin	CDC1551	S
+Ethambutol	CDC1551	S
+Ofloxacin	CDC1551	S
+Capreomycin	CDC1551	S
+Ethionamide	CDC1551	S
+Pyrazinamide	CDC1551	S
+
+lanzas_multidrug-resistant_2013	Multidrug-resistant tuberculosis in panama is driven by clonal expansion of a multidrug-resistant Mycobacterium tuberculosis strain related to the {KZN} extensively drug-resistant M. tuberculosis strain from South Africa
+Isoniazid	PanR0605	R
+Rifampicin	PanR0605	R
+Ethambutol	PanR0605	S
+Streptomycin	PanR0605	R
+Isoniazid	PanR0606	R
+Rifampicin	PanR0606	R
+Ethambutol	PanR0606	S
+Streptomycin	PanR0606	S
+Isoniazid	PanR0902	R
+Rifampicin	PanR0902	R
+Ethambutol	PanR0902	R
+Streptomycin	PanR0902	R
+Isoniazid	PanR0801	R
+Rifampicin	PanR0801	R
+Ethambutol	PanR0801	S
+Streptomycin	PanR0801	R
+Isoniazid	PanR0907	R
+Rifampicin	PanR0907	R
+Ethambutol	PanR0907	R
+Streptomycin	PanR0907	R
+Isoniazid	PanR0315	R
+Rifampicin	PanR0315	R
+Ethambutol	PanR0315	S
+Streptomycin	PanR0315	S
+Isoniazid	PanR0206	R
+Rifampicin	PanR0206	R
+Ethambutol	PanR0206	S
+Streptomycin	PanR0206	R
+Isoniazid	PanR0316	R
+Rifampicin	PanR0316	R
+Ethambutol	PanR0316	S
+Streptomycin	PanR0316	R
+Isoniazid	PanR0301	R
+Rifampicin	PanR0301	R
+Ethambutol	PanR0301	S
+Streptomycin	PanR0301	R
+Isoniazid	PanR0305	R
+Rifampicin	PanR0305	R
+Ethambutol	PanR0305	S
+Streptomycin	PanR0305	S
+Isoniazid	PanR1101	R
+Rifampicin	PanR1101	R
+Isoniazid	PanR1005	R
+Rifampicin	PanR1005	R
+Ethambutol	PanR1005	R
+Streptomycin	PanR1005	R
+Isoniazid	PanR0408	R
+Rifampicin	PanR0408	R
+Ethambutol	PanR0408	S
+Streptomycin	PanR0408	S
+Isoniazid	PanR0403	R
+Rifampicin	PanR0403	R
+Ethambutol	PanR0403	S
+Streptomycin	PanR0403	R
+Isoniazid	PanR0304	R
+Rifampicin	PanR0304	R
+Ethambutol	PanR0304	R
+Streptomycin	PanR0304	R
+Isoniazid	PanR0503	R
+Rifampicin	PanR0503	R
+Ethambutol	PanR0503	S
+Streptomycin	PanR0503	S
+Isoniazid	PanR0409	R
+Rifampicin	PanR0409	R
+Ethambutol	PanR0409	S
+Streptomycin	PanR0409	S
+Isoniazid	PanR0903	R
+Rifampicin	PanR0903	R
+Ethambutol	PanR0903	S
+Streptomycin	PanR0903	S
+Isoniazid	PanR0404	R
+Rifampicin	PanR0404	R
+Ethambutol	PanR0404	S
+Streptomycin	PanR0404	S
+Isoniazid	PanR0308	R
+Rifampicin	PanR0308	R
+Ethambutol	PanR0308	R
+Streptomycin	PanR0308	R
+Isoniazid	PanR0313	R
+Rifampicin	PanR0313	R
+Ethambutol	PanR0313	S
+Streptomycin	PanR0313	S
+Isoniazid	PanR0610	R
+Rifampicin	PanR0610	R
+Ethambutol	PanR0610	S
+Streptomycin	PanR0610	S
+Isoniazid	PanR0201	R
+Rifampicin	PanR0201	R
+Ethambutol	PanR0201	S
+Streptomycin	PanR0201	R
+Isoniazid	PanR0203	R
+Rifampicin	PanR0203	R
+Ethambutol	PanR0203	R
+Streptomycin	PanR0203	R
+Isoniazid	PanR0602	R
+Rifampicin	PanR0602	R
+Ethambutol	PanR0602	S
+Streptomycin	PanR0602	S
+Isoniazid	PanR0411	R
+Rifampicin	PanR0411	R
+Ethambutol	PanR0411	S
+Streptomycin	PanR0411	R
+Isoniazid	PanR0804	R
+Rifampicin	PanR0804	R
+Ethambutol	PanR0804	S
+Streptomycin	PanR0804	R
+Isoniazid	PanR0407	R
+Rifampicin	PanR0407	R
+Ethambutol	PanR0407	S
+Streptomycin	PanR0407	R
+Isoniazid	PanR0412	R
+Rifampicin	PanR0412	R
+Ethambutol	PanR0412	S
+Streptomycin	PanR0412	R
+Isoniazid	PanR1006	R
+Rifampicin	PanR1006	R
+Ethambutol	PanR1006	S
+Streptomycin	PanR1006	R
+Isoniazid	PanR0802	R
+Rifampicin	PanR0802	R
+Ethambutol	PanR0802	R
+Streptomycin	PanR0802	R
+Isoniazid	PanR0501	R
+Rifampicin	PanR0501	R
+Ethambutol	PanR0501	S
+Streptomycin	PanR0501	R
+Isoniazid	PanR0307	R
+Rifampicin	PanR0307	R
+Ethambutol	PanR0307	S
+Streptomycin	PanR0307	S
+Isoniazid	PanR0410	R
+Rifampicin	PanR0410	R
+Ethambutol	PanR0410	S
+Streptomycin	PanR0410	R
+Isoniazid	PanR0405	R
+Rifampicin	PanR0405	R
+Ethambutol	PanR0405	R
+Streptomycin	PanR0405	R
+Isoniazid	PanR0317	R
+Rifampicin	PanR0317	R
+Ethambutol	PanR0317	S
+Streptomycin	PanR0317	R
+Isoniazid	PanR0311	R
+Rifampicin	PanR0311	R
+Ethambutol	PanR0311	S
+Streptomycin	PanR0311	R
+Isoniazid	PanR0306	R
+Rifampicin	PanR0306	R
+Ethambutol	PanR0306	R
+Streptomycin	PanR0306	R
+Isoniazid	PanR0904	R
+Rifampicin	PanR0904	R
+Ethambutol	PanR0904	R
+Streptomycin	PanR0904	R
+Isoniazid	PanR0803	R
+Rifampicin	PanR0803	R
+Ethambutol	PanR0803	S
+Streptomycin	PanR0803	R
+Isoniazid	PanR0609	R
+Rifampicin	PanR0609	R
+Ethambutol	PanR0609	S
+Streptomycin	PanR0609	R
+Isoniazid	PanR0607	R
+Rifampicin	PanR0607	R
+Ethambutol	PanR0607	S
+Streptomycin	PanR0607	R
+Isoniazid	PanR0909	R
+Rifampicin	PanR0909	R
+Isoniazid	PanR0601	R
+Rifampicin	PanR0601	R
+Ethambutol	PanR0601	S
+Streptomycin	PanR0601	R
+Isoniazid	PanR0314	R
+Rifampicin	PanR0314	R
+Ethambutol	PanR0314	S
+Streptomycin	PanR0314	R
+Isoniazid	PanR0207	R
+Rifampicin	PanR0207	R
+Ethambutol	PanR0207	S
+Streptomycin	PanR0207	R
+Isoniazid	PanR0209	R
+Rifampicin	PanR0209	R
+Ethambutol	PanR0209	R
+Streptomycin	PanR0209	R
+Isoniazid	PanR0707	R
+Rifampicin	PanR0707	R
+Ethambutol	PanR0707	R
+Streptomycin	PanR0707	R
+Isoniazid	PanR0603	R
+Rifampicin	PanR0603	R
+Ethambutol	PanR0603	R
+Streptomycin	PanR0603	R
+Isoniazid	PanR0604	R
+Rifampicin	PanR0604	R
+Ethambutol	PanR0604	R
+Streptomycin	PanR0604	R
+Isoniazid	PanR0401	R
+Rifampicin	PanR0401	R
+Ethambutol	PanR0401	R
+Streptomycin	PanR0401	R
+Isoniazid	PanR0505	R
+Rifampicin	PanR0505	R
+Ethambutol	PanR0505	R
+Streptomycin	PanR0505	R
+Isoniazid	PanR0702	R
+Rifampicin	PanR0702	R
+Ethambutol	PanR0702	R
+Streptomycin	PanR0702	R
+Isoniazid	PanR0205	R
+Rifampicin	PanR0205	R
+Ethambutol	PanR0205	R
+Streptomycin	PanR0205	R
+Isoniazid	PanR0402	R
+Rifampicin	PanR0402	R
+Ethambutol	PanR0402	S
+Streptomycin	PanR0402	R
+Isoniazid	PanR0906	R
+Rifampicin	PanR0906	R
+Ethambutol	PanR0906	S
+Streptomycin	PanR0906	S
+Isoniazid	PanR0805 	R
+Rifampicin	PanR0805 	R
+Ethambutol	PanR0805 	S
+Streptomycin	PanR0805 	S
+Isoniazid	PanR1007	R
+Rifampicin	PanR1007	R
+Ethambutol	PanR1007	S
+Streptomycin	PanR1007	S
+Isoniazid	PanR0704	R
+Rifampicin	PanR0704	R
+Ethambutol	PanR0704	S
+Streptomycin	PanR0704	S
+Isoniazid	PanR0708	R
+Rifampicin	PanR0708	R
+Ethambutol	PanR0708	S
+Streptomycin	PanR0708	S
+Isoniazid	PanR0703	R
+Rifampicin	PanR0703	R
+Ethambutol	PanR0703	R
+Streptomycin	PanR0703	R
+Isoniazid	PanR0611	R
+Rifampicin	PanR0611	R
+Ethambutol	PanR0611	S
+Streptomycin	PanR0611	S
+Isoniazid	PanR0309	R
+Rifampicin	PanR0309	R
+Ethambutol	PanR0309	S
+Streptomycin	PanR0309	R
+Isoniazid	PanR0208	R
+Rifampicin	PanR0208	R
+Ethambutol	PanR0208	S
+Streptomycin	PanR0208	R
+Isoniazid	PanR0202	R
+Rifampicin	PanR0202	R
+Ethambutol	PanR0202	R
+Streptomycin	PanR0202	R
+Isoniazid	PanR0908	R
+Rifampicin	PanR0908	R
+Ethambutol	PanR0908	R
+Streptomycin	PanR0908	R
+
+vellarikkal_draft_2013-3	Draft Genome Sequence of a Clinical Isolate of Multidrug-Resistant Mycobacterium tuberculosis East African Indian Strain {OSDD271}
+Isoniazid	EAI_OSDD271	R
+Rifampicin	EAI_OSDD271	R
+Ethambutol	EAI_OSDD271	R
+Streptomycin	EAI_OSDD271	R
+Pyrazinamide	EAI_OSDD271	R
+PAS	EAI_OSDD271	R
+
+tateishi_whole-genome_2013	Whole-Genome Sequence of the Potentially Hypertransmissible Multidrug-Resistant Mycobacterium tuberculosis Beijing Strain {OM-V02\_005}
+Isoniazid	OM-V02_005	R
+Rifampicin	OM-V02_005	R
+
+ordway_drug-resistant_1995	Drug-resistant strains of Mycobacterium tuberculosis exhibit a range of virulence for mice.
+Amikacin	Erdman	S
+Capreomycin	Erdman	S
+Cycloserine	Erdman	S
+Ethambutol	Erdman	S
+Ethionamide	Erdman	S
+Isoniazid	Erdman	S
+Kanamycin	Erdman	S
+Pyrazinamide	Erdman	S
+Rifabutin	Erdman	S
+Rifampicin	Erdman	S
+Streptomycin	Erdman	S
+
+lin_draft_2013	Draft genome sequences of two super-extensively drug-resistant isolates of Mycobacterium tuberculosis from China
+Isoniazid	FJ05194	R
+Rifampicin	FJ05194	R
+Ethambutol	FJ05194	R
+Streptomycin	FJ05194	R
+Capreomycin	FJ05194	R
+Kanamycin	FJ05194	R
+Ethionamide	FJ05194	R
+Ofloxacin	FJ05194	R
+Isoniazid	GuangZ0019	R
+Rifampicin	GuangZ0019	R
+Ethambutol	GuangZ0019	R
+Streptomycin	GuangZ0019	R
+Capreomycin	GuangZ0019	R
+Kanamycin	GuangZ0019	R
+Ethionamide	GuangZ0019	R
+Ofloxacin	GuangZ0019	R
+
+osorio_evidence_2013	Evidence for Diversifying Selection in a Set of Mycobacterium tuberculosis Genes in Response to Antibiotic- and Nonantibiotic-Related Pressure
+Isoniazid	RGTB327	R
+Isoniazid	RGTB423	R
+Streptomycin	RGTB423	R
+Ethambutol	RGTB423	R
+Isoniazid	KZN_605	R
+Rifampicin	KZN_605	R
+Streptomycin	KZN_605	R
+Ethambutol	KZN_605	R
+Ofloxacin	KZN_605	R
+Kanamycin	KZN_605	R
+Isoniazid	KZN_1435	R
+Rifampicin	KZN_1435	R
+Ethambutol	KZN_1435	S
+Streptomycin	KZN_1435	S
+Ofloxacin	KZN_1435	S
+Kanamycin	KZN_1435	S
+Isoniazid	98-R604_INH-RIF-EM	R
+Rifampicin	98-R604_INH-RIF-EM	R
+Ethambutol	98-R604_INH-RIF-EM	R
+Streptomycin	98-R604_INH-RIF-EM	S
+Ofloxacin	98-R604_INH-RIF-EM	S
+Kanamycin	98-R604_INH-RIF-EM	S
+#
+Isoniazid	H37Rv	S
+Rifampicin	H37Rv	S
+Rifabutin	H37Rv	S
+Ciprofloxacin	H37Rv	S
+Cycloserine	H37Rv	S
+Amikacin	H37Rv	S
+Streptomycin	H37Rv	S
+Kanamycin	H37Rv	S
+Ethambutol	H37Rv	S
+Ofloxacin	H37Rv	S
+Capreomycin	H37Rv	S
+Ethionamide	H37Rv	S
+Pyrazinamide	H37Rv	S
+PAS	H37Rv	S
+Isoniazid	H37Ra	S
+Rifampicin	H37Ra	S
+Rifabutin	H37Ra	S
+Ciprofloxacin	H37Ra	S
+Cycloserine	H37Ra	S
+Amikacin	H37Ra	S
+Streptomycin	H37Ra	S
+Kanamycin	H37Ra	S
+Ethambutol	H37Ra	S
+Ofloxacin	H37Ra	S
+Capreomycin	H37Ra	S
+Ethionamide	H37Ra	S
+Pyrazinamide	H37Ra	S
+PAS	H37Ra	S
+Isoniazid	H37Ra_WGS	S
+Rifampicin	H37Ra_WGS	S
+Rifabutin	H37Ra_WGS	S
+Ciprofloxacin	H37Ra_WGS	S
+Cycloserine	H37Ra_WGS	S
+Amikacin	H37Ra_WGS	S
+Streptomycin	H37Ra_WGS	S
+Kanamycin	H37Ra_WGS	S
+Ethambutol	H37Ra_WGS	S
+Ofloxacin	H37Ra_WGS	S
+Capreomycin	H37Ra_WGS	S
+Ethionamide	H37Ra_WGS	S
+Pyrazinamide	H37Ra_WGS	S
+PAS	H37Ra_WGS	S
+Isoniazid	Erdman	S
+Rifampicin	Erdman	S
+Rifabutin	Erdman	S
+Ciprofloxacin	Erdman	S
+Cycloserine	Erdman	S
+Amikacin	Erdman	S
+Streptomycin	Erdman	S
+Kanamycin	Erdman	S
+Ethambutol	Erdman	S
+Ofloxacin	Erdman	S
+Capreomycin	Erdman	S
+Ethionamide	Erdman	S
+Pyrazinamide	Erdman	S
+PAS	Erdman	S
+Isoniazid	C	S
+Rifampicin	C	S
+Rifabutin	C	S
+Ciprofloxacin	C	S
+Cycloserine	C	S
+Amikacin	C	S
+Streptomycin	C	S
+Kanamycin	C	S
+Ethambutol	C	S
+Ofloxacin	C	S
+Capreomycin	C	S
+Ethionamide	C	S
+Pyrazinamide	C	S
+PAS	C	S
+Isoniazid	K85	S
+Rifampicin	K85	S
+Rifabutin	K85	S
+Ciprofloxacin	K85	S
+Cycloserine	K85	S
+Amikacin	K85	S
+Streptomycin	K85	S
+Kanamycin	K85	S
+Ethambutol	K85	S
+Ofloxacin	K85	S
+Capreomycin	K85	S
+Ethionamide	K85	S
+Pyrazinamide	K85	S
+PAS	K85	S
+Isoniazid	CPHL_A	S
+Rifampicin	CPHL_A	S
+Rifabutin	CPHL_A	S
+Ciprofloxacin	CPHL_A	S
+Cycloserine	CPHL_A	S
+Amikacin	CPHL_A	S
+Streptomycin	CPHL_A	S
+Kanamycin	CPHL_A	S
+Ethambutol	CPHL_A	S
+Ofloxacin	CPHL_A	S
+Capreomycin	CPHL_A	S
+Ethionamide	CPHL_A	S
+Pyrazinamide	CPHL_A	S
+PAS	CPHL_A	S
+Isoniazid	EAS054	S
+Rifampicin	EAS054	S
+Rifabutin	EAS054	S
+Ciprofloxacin	EAS054	S
+Cycloserine	EAS054	S
+Amikacin	EAS054	S
+Streptomycin	EAS054	S
+Kanamycin	EAS054	S
+Ethambutol	EAS054	S
+Ofloxacin	EAS054	S
+Capreomycin	EAS054	S
+Ethionamide	EAS054	S
+Pyrazinamide	EAS054	S
+PAS	EAS054	S
+Isoniazid	T92	S
+Rifampicin	T92	S
+Rifabutin	T92	S
+Ciprofloxacin	T92	S
+Cycloserine	T92	S
+Amikacin	T92	S
+Streptomycin	T92	S
+Kanamycin	T92	S
+Ethambutol	T92	S
+Ofloxacin	T92	S
+Capreomycin	T92	S
+Ethionamide	T92	S
+Pyrazinamide	T92	S
+PAS	T92	S
+Isoniazid	T17	S
+Rifampicin	T17	S
+Rifabutin	T17	S
+Ciprofloxacin	T17	S
+Cycloserine	T17	S
+Amikacin	T17	S
+Streptomycin	T17	S
+Kanamycin	T17	S
+Ethambutol	T17	S
+Ofloxacin	T17	S
+Capreomycin	T17	S
+Ethionamide	T17	S
+Pyrazinamide	T17	S
+PAS	T17	S
+Isoniazid	T46	S
+Rifampicin	T46	S
+Rifabutin	T46	S
+Ciprofloxacin	T46	S
+Cycloserine	T46	S
+Amikacin	T46	S
+Streptomycin	T46	S
+Kanamycin	T46	S
+Ethambutol	T46	S
+Ofloxacin	T46	S
+Capreomycin	T46	S
+Ethionamide	T46	S
+Pyrazinamide	T46	S
+PAS	T46	S
+Isoniazid	94_M4241A	S
+Rifampicin	94_M4241A	S
+Rifabutin	94_M4241A	S
+Ciprofloxacin	94_M4241A	S
+Cycloserine	94_M4241A	S
+Amikacin	94_M4241A	S
+Streptomycin	94_M4241A	S
+Kanamycin	94_M4241A	S
+Ethambutol	94_M4241A	S
+Ofloxacin	94_M4241A	S
+Capreomycin	94_M4241A	S
+Ethionamide	94_M4241A	S
+Pyrazinamide	94_M4241A	S
+PAS	94_M4241A	S
+Isoniazid	02_1987	S
+Rifampicin	02_1987	S
+Rifabutin	02_1987	S
+Ciprofloxacin	02_1987	S
+Cycloserine	02_1987	S
+Amikacin	02_1987	S
+Streptomycin	02_1987	S
+Kanamycin	02_1987	S
+Ethambutol	02_1987	S
+Ofloxacin	02_1987	S
+Capreomycin	02_1987	S
+Ethionamide	02_1987	S
+Pyrazinamide	02_1987	S
+PAS	02_1987	S
+Isoniazid	CCDC5079	S
+Rifampicin	CCDC5079	S
+Rifabutin	CCDC5079	S
+Ciprofloxacin	CCDC5079	S
+Cycloserine	CCDC5079	S
+Amikacin	CCDC5079	S
+Streptomycin	CCDC5079	S
+Kanamycin	CCDC5079	S
+Ethambutol	CCDC5079	S
+Ofloxacin	CCDC5079	S
+Capreomycin	CCDC5079	S
+Ethionamide	CCDC5079	S
+Pyrazinamide	CCDC5079	S
+PAS	CCDC5079	S
+Isoniazid	GM_1503	S
+Rifampicin	GM_1503	S
+Rifabutin	GM_1503	S
+Ciprofloxacin	GM_1503	S
+Cycloserine	GM_1503	S
+Amikacin	GM_1503	S
+Streptomycin	GM_1503	S
+Kanamycin	GM_1503	S
+Ethambutol	GM_1503	S
+Ofloxacin	GM_1503	S
+Capreomycin	GM_1503	S
+Ethionamide	GM_1503	S
+Pyrazinamide	GM_1503	S
+PAS	GM_1503	S
+Isoniazid	CTRI-2	S
+Rifampicin	CTRI-2	S
+Rifabutin	CTRI-2	S
+Ciprofloxacin	CTRI-2	S
+Cycloserine	CTRI-2	S
+Amikacin	CTRI-2	S
+Streptomycin	CTRI-2	S
+Kanamycin	CTRI-2	S
+Ethambutol	CTRI-2	S
+Ofloxacin	CTRI-2	S
+Capreomycin	CTRI-2	S
+Ethionamide	CTRI-2	S
+Pyrazinamide	CTRI-2	S
+PAS	CTRI-2	S
+Isoniazid	KZN_4207	S
+Rifampicin	KZN_4207	S
+Rifabutin	KZN_4207	S
+Ciprofloxacin	KZN_4207	S
+Cycloserine	KZN_4207	S
+Amikacin	KZN_4207	S
+Streptomycin	KZN_4207	S
+Kanamycin	KZN_4207	S
+Ethambutol	KZN_4207	S
+Ofloxacin	KZN_4207	S
+Capreomycin	KZN_4207	S
+Ethionamide	KZN_4207	S
+Pyrazinamide	KZN_4207	S
+PAS	KZN_4207	S
+Isoniazid	KZN_4207_Broad	S
+Rifampicin	KZN_4207_Broad	S
+Rifabutin	KZN_4207_Broad	S
+Ciprofloxacin	KZN_4207_Broad	S
+Cycloserine	KZN_4207_Broad	S
+Amikacin	KZN_4207_Broad	S
+Streptomycin	KZN_4207_Broad	S
+Kanamycin	KZN_4207_Broad	S
+Ethambutol	KZN_4207_Broad	S
+Ofloxacin	KZN_4207_Broad	S
+Capreomycin	KZN_4207_Broad	S
+Ethionamide	KZN_4207_Broad	S
+Pyrazinamide	KZN_4207_Broad	S
+PAS	KZN_4207_Broad	S
+Isoniazid	SUMu001	S
+Rifampicin	SUMu001	S
+Rifabutin	SUMu001	S
+Ciprofloxacin	SUMu001	S
+Cycloserine	SUMu001	S
+Amikacin	SUMu001	S
+Streptomycin	SUMu001	S
+Kanamycin	SUMu001	S
+Ethambutol	SUMu001	S
+Ofloxacin	SUMu001	S
+Capreomycin	SUMu001	S
+Ethionamide	SUMu001	S
+Pyrazinamide	SUMu001	S
+PAS	SUMu001	S
+Isoniazid	SUMu002	S
+Rifampicin	SUMu002	S
+Rifabutin	SUMu002	S
+Ciprofloxacin	SUMu002	S
+Cycloserine	SUMu002	S
+Amikacin	SUMu002	S
+Streptomycin	SUMu002	S
+Kanamycin	SUMu002	S
+Ethambutol	SUMu002	S
+Ofloxacin	SUMu002	S
+Capreomycin	SUMu002	S
+Ethionamide	SUMu002	S
+Pyrazinamide	SUMu002	S
+PAS	SUMu002	S
+Isoniazid	SUMu003	S
+Rifampicin	SUMu003	S
+Rifabutin	SUMu003	S
+Ciprofloxacin	SUMu003	S
+Cycloserine	SUMu003	S
+Amikacin	SUMu003	S
+Streptomycin	SUMu003	S
+Kanamycin	SUMu003	S
+Ethambutol	SUMu003	S
+Ofloxacin	SUMu003	S
+Capreomycin	SUMu003	S
+Ethionamide	SUMu003	S
+Pyrazinamide	SUMu003	S
+PAS	SUMu003	S
+Isoniazid	SUMu004	S
+Rifampicin	SUMu004	S
+Rifabutin	SUMu004	S
+Ciprofloxacin	SUMu004	S
+Cycloserine	SUMu004	S
+Amikacin	SUMu004	S
+Streptomycin	SUMu004	S
+Kanamycin	SUMu004	S
+Ethambutol	SUMu004	S
+Ofloxacin	SUMu004	S
+Capreomycin	SUMu004	S
+Ethionamide	SUMu004	S
+Pyrazinamide	SUMu004	S
+PAS	SUMu004	S
+Isoniazid	SUMu005	S
+Rifampicin	SUMu005	S
+Rifabutin	SUMu005	S
+Ciprofloxacin	SUMu005	S
+Cycloserine	SUMu005	S
+Amikacin	SUMu005	S
+Streptomycin	SUMu005	S
+Kanamycin	SUMu005	S
+Ethambutol	SUMu005	S
+Ofloxacin	SUMu005	S
+Capreomycin	SUMu005	S
+Ethionamide	SUMu005	S
+Pyrazinamide	SUMu005	S
+PAS	SUMu005	S
+Isoniazid	SUMu006	S
+Rifampicin	SUMu006	S
+Rifabutin	SUMu006	S
+Ciprofloxacin	SUMu006	S
+Cycloserine	SUMu006	S
+Amikacin	SUMu006	S
+Streptomycin	SUMu006	S
+Kanamycin	SUMu006	S
+Ethambutol	SUMu006	S
+Ofloxacin	SUMu006	S
+Capreomycin	SUMu006	S
+Ethionamide	SUMu006	S
+Pyrazinamide	SUMu006	S
+PAS	SUMu006	S
+Isoniazid	SUMu007	S
+Rifampicin	SUMu007	S
+Rifabutin	SUMu007	S
+Ciprofloxacin	SUMu007	S
+Cycloserine	SUMu007	S
+Amikacin	SUMu007	S
+Streptomycin	SUMu007	S
+Kanamycin	SUMu007	S
+Ethambutol	SUMu007	S
+Ofloxacin	SUMu007	S
+Capreomycin	SUMu007	S
+Ethionamide	SUMu007	S
+Pyrazinamide	SUMu007	S
+PAS	SUMu007	S
+Isoniazid	SUMu008	S
+Rifampicin	SUMu008	S
+Rifabutin	SUMu008	S
+Ciprofloxacin	SUMu008	S
+Cycloserine	SUMu008	S
+Amikacin	SUMu008	S
+Streptomycin	SUMu008	S
+Kanamycin	SUMu008	S
+Ethambutol	SUMu008	S
+Ofloxacin	SUMu008	S
+Capreomycin	SUMu008	S
+Ethionamide	SUMu008	S
+Pyrazinamide	SUMu008	S
+PAS	SUMu008	S
+Isoniazid	SUMu009	S
+Rifampicin	SUMu009	S
+Rifabutin	SUMu009	S
+Ciprofloxacin	SUMu009	S
+Cycloserine	SUMu009	S
+Amikacin	SUMu009	S
+Streptomycin	SUMu009	S
+Kanamycin	SUMu009	S
+Ethambutol	SUMu009	S
+Ofloxacin	SUMu009	S
+Capreomycin	SUMu009	S
+Ethionamide	SUMu009	S
+Pyrazinamide	SUMu009	S
+PAS	SUMu009	S
+Isoniazid	SUMu010	S
+Rifampicin	SUMu010	S
+Rifabutin	SUMu010	S
+Ciprofloxacin	SUMu010	S
+Cycloserine	SUMu010	S
+Amikacin	SUMu010	S
+Streptomycin	SUMu010	S
+Kanamycin	SUMu010	S
+Ethambutol	SUMu010	S
+Ofloxacin	SUMu010	S
+Capreomycin	SUMu010	S
+Ethionamide	SUMu010	S
+Pyrazinamide	SUMu010	S
+PAS	SUMu010	S
+Isoniazid	SUMu011	S
+Rifampicin	SUMu011	S
+Rifabutin	SUMu011	S
+Ciprofloxacin	SUMu011	S
+Cycloserine	SUMu011	S
+Amikacin	SUMu011	S
+Streptomycin	SUMu011	S
+Kanamycin	SUMu011	S
+Ethambutol	SUMu011	S
+Ofloxacin	SUMu011	S
+Capreomycin	SUMu011	S
+Ethionamide	SUMu011	S
+Pyrazinamide	SUMu011	S
+PAS	SUMu011	S
+Isoniazid	SUMu012	S
+Rifampicin	SUMu012	S
+Rifabutin	SUMu012	S
+Ciprofloxacin	SUMu012	S
+Cycloserine	SUMu012	S
+Amikacin	SUMu012	S
+Streptomycin	SUMu012	S
+Kanamycin	SUMu012	S
+Ethambutol	SUMu012	S
+Ofloxacin	SUMu012	S
+Capreomycin	SUMu012	S
+Ethionamide	SUMu012	S
+Pyrazinamide	SUMu012	S
+PAS	SUMu012	S
+
+roetzer_whole_2013	Whole Genome Sequencing versus Traditional Genotyping for Investigation of a Mycobacterium tuberculosis Outbreak: A Longitudinal Molecular Epidemiological Study
+Isoniazid	7199-99	S
+Rifampicin	7199-99	S
+Amikacin	7199-99	S
+Streptomycin	7199-99	S
+Kanamycin	7199-99	S
+Ethambutol	7199-99	S
+Ofloxacin	7199-99	S
+Capreomycin	7199-99	S
+Ethionamide	7199-99	S
+Pyrazinamide	7199-99	S
+PAS	7199-99	S
+
+zhang_complete_2011	Complete Genome Sequences of Mycobacterium tuberculosis Strains {CCDC5079} and {CCDC5080}, Which Belong to the Beijing Family
+Isoniazid	CCDC5079	S
+Rifampicin	CCDC5079	S
+Ethambutol	CCDC5079	S
+Streptomycin	CCDC5079	S
+Isoniazid	CCDC5080	R
+Rifampicin	CCDC5080	R
+Ethambutol	CCDC5080	R
+Streptomycin	CCDC5080	R
+
+vellarikkal_draft_2013-1	Draft Genome Sequence of an Extensively Drug-Resistant Mycobacterium tuberculosis Clinical Isolate of the Ural Strain {OSDD493}
+Isoniazid	OSDD493	R
+Rifampicin	OSDD493	R
+Ethambutol	OSDD493	R
+Streptomycin	OSDD493	R
+Ofloxacin	OSDD493	R
+Kanamycin	OSDD493	R
+Ethionamide	OSDD493	R
+Amikacin	OSDD493	S
+Pyrazinamide	OSDD493	S
+Capreomycin	OSDD493	S
+Cycloserine	OSDD493	S
+PAS	OSDD493	S
+
+ioerger_genome_2009	Genome Analysis of Multi- and Extensively-Drug-Resistant Tuberculosis from {KwaZulu-Natal}, South Africa
+Isoniazid	KZN_V2475	R
+Rifampicin	KZN_V2475	R
+Streptomycin	KZN_V2475	R
+Isoniazid	KZN_R506	R
+Rifampicin	KZN_R506	R
+Streptomycin	KZN_R506	R
+Kanamycin	KZN_R506	R
+Ofloxacin	KZN_R506	R
+Isoniazid	KZN_4207	S
+Rifampicin	KZN_4207	S
+Streptomycin	KZN_4207	S
+Kanamycin	KZN_4207	S
+Ofloxacin	KZN_4207	S
+
+sandegren_genomic_2011	Genomic Stability over 9 Years of an Isoniazid Resistant Mycobacterium tuberculosis Outbreak Strain in Sweden
+Isoniazid	S96-129	R
+Isoniazid	BTB05-559	R
+Isoniazid	BTB05-552	R
+Rifampicin	S96-129	S
+Rifampicin	BTB05-559	S
+Rifampicin	BTB05-552	S
+Ethambutol	S96-129	S
+Ethambutol	BTB05-559	S
+Ethambutol	BTB05-552	S
+Pyrazinamide	S96-129	S
+Pyrazinamide	BTB05-559	S
+Pyrazinamide	BTB05-552	S
+Ofloxacin	S96-129	S
+Ofloxacin	BTB05-559	S
+Ofloxacin	BTB05-552	S
+Amikacin	S96-129	S
+Amikacin	BTB05-559	S
+Amikacin	BTB05-552	S
+Streptomycin	S96-129	R:4
+Streptomycin	BTB05-559	S
+Streptomycin	BTB05-552	S
+
+ilina_comparative_2013	Comparative Genomic Analysis of Mycobacterium tuberculosis Drug Resistant Strains from Russia
+Isoniazid	CTRI-2	S
+Isoniazid	CTRI-4	R
+Rifampicin	CTRI-2	S
+Rifampicin	CTRI-4	R
+Ethambutol	CTRI-2	S
+Ethambutol	CTRI-4	R
+Streptomycin	CTRI-2	S
+Streptomycin	CTRI-4	R
+Pyrazinamide	CTRI-2	S
+Pyrazinamide	CTRI-4	R
+Ethionamide	CTRI-2	S
+Ethionamide	CTRI-4	R
+Amikacin	CTRI-2	S
+Amikacin	CTRI-4	R
+Capreomycin	CTRI-2	S
+Capreomycin	CTRI-4	R
+Ofloxacin	CTRI-2	S
+Ofloxacin	CTRI-4	R
+
+ioerger_non-clonality_2010	The non-clonality of drug resistance in Beijing-genotype isolates of Mycobacterium tuberculosis from the Western Cape of South Africa
+Rifampicin	R1207	R
+Isoniazid	R1207	R
+Ethambutol	R1207	S
+Amikacin	X132	R
+Capreomycin	X132	R
+Kanamycin	X132	R
+Isoniazid	X132	R
+Streptomycin	X132	R
+Rifampicin	X132	R
+Ethionamide	X132	S
+Ofloxacin	X132	S
+Ethambutol	X132	S
+Amikacin	X28	R
+Capreomycin	X28	R
+Kanamycin	X28	R
+Ofloxacin	X28	R
+Isoniazid	X28	R
+Streptomycin	X28	R
+Rifampicin	X28	R
+Ethionamide	X28	S
+Ethambutol	X28	S
+Rifampicin	R1746	R
+Isoniazid	R1746	R
+Ethambutol	R1746	S
+Amikacin	X156	R
+Capreomycin	X156	R
+Kanamycin	X156	R
+Isoniazid	X156	R
+Streptomycin	X156	R
+Rifampicin	X156	R
+Ethionamide	X156	S
+Ofloxacin	X156	S
+Ethambutol	X156	S
+Amikacin	X85	R
+Kanamycin	X85	R
+Ofloxacin	X85	R
+Isoniazid	X85	R
+Rifampicin	X85	R
+Ethionamide	X85	R
+Capreomycin	X85	S
+Ethambutol	X85	S
+Rifampicin	R1909	R
+Isoniazid	R1909	R
+Ethambutol	R1909	R
+Isoniazid	R1842	R
+Rifampicin	R1842	S
+Ethambutol	R1842	S
+Rifampicin	X122	R
+Isoniazid	X122	R
+Ofloxacin	X122	R
+Amikacin	X122	S
+Ethionamide	X122	S
+Ethambutol	X122	S
+Isoniazid	R1390	R
+Rifampicin	R1390	S
+Ethambutol	R1390	S
+Amikacin	X189	R
+Capreomycin	X189	R
+Kanamycin	X189	R
+Ofloxacin	X189	R
+Isoniazid	X189	R
+Rifampicin	X189	R
+Ethionamide	X189	S
+Streptomycin	X189	S
+Rifampicin	R1505	R
+Isoniazid	R1505	R
+Ethambutol	R1505	S
+Isoniazid	R1441	R
+Rifampicin	R1441	S
+Ethambutol	R1441	S
+Rifampicin	X29	R
+Amikacin	X29	R
+Isoniazid	X29	R
+Kanamycin	X29	R
+Streptomycin	X29	R
+Ethionamide	X29	S
+Capreomycin	X29	S
+Ofloxacin	X29	S
+Ethambutol	X29	S
+Isoniazid	HN878	S
+Rifampicin	HN878	S
+Rifabutin	HN878	S
+Ciprofloxacin	HN878	S
+Cycloserine	HN878	S
+Amikacin	HN878	S
+Streptomycin	HN878	S
+Kanamycin	HN878	S
+Ethambutol	HN878	S
+Ofloxacin	HN878	S
+Capreomycin	HN878	S
+Ethionamide	HN878	S
+Pyrazinamide	HN878	S
+PAS	HN878	S
+
+
+kairov_whole_2013	Whole genome sequencing of M. tuberculosis in Kazakhstan: preliminary data
+Isoniazid	MTB-476	S
+Rifampicin	MTB-476	S
+Rifabutin	MTB-476	S
+Ciprofloxacin	MTB-476	S
+Cycloserine	MTB-476	S
+Amikacin	MTB-476	S
+Streptomycin	MTB-476	S
+Kanamycin	MTB-476	S
+Ethambutol	MTB-476	S
+Ofloxacin	MTB-476	S
+Capreomycin	MTB-476	S
+Ethionamide	MTB-476	S
+Pyrazinamide	MTB-476	S
+PAS	MTB-476	S
+Isoniazid	MTB-489	S
+Rifampicin	MTB-489	S
+Rifabutin	MTB-489	S
+Ciprofloxacin	MTB-489	S
+Cycloserine	MTB-489	S
+Amikacin	MTB-489	S
+Streptomycin	MTB-489	S
+Kanamycin	MTB-489	S
+Ethambutol	MTB-489	S
+Ofloxacin	MTB-489	S
+Capreomycin	MTB-489	S
+Ethionamide	MTB-489	S
+Pyrazinamide	MTB-489	S
+PAS	MTB-489	S
+
+
+#Unusual Large-Scale Chromosomal Rearrangements in Mycobacterium tuberculosis Beijing B0/W148 Cluster Isolates
+broad_institute_broad_????	Broad Institute Tuberculosis
+Isoniazid	W-148	R
+Rifampicin	W-148	R
+
+shitikov_unusual_2014	Unusual Large-Scale Chromosomal Rearrangements in Mycobacterium tuberculosis Beijing {B0/W148} Cluster Isolates
+Isoniazid	SP21	R
+Rifampicin	SP21	R
+Ethambutol	SP21	R
+Streptomycin	SP21	R
+Pyrazinamide	SP21	S
+Capreomycin	SP21	R
+Amikacin	SP21	R
+Ofloxacin	SP21	R
+Ethionamide	SP21	S
+
+tsui_genome_2013	Genome analysis of Mycobacterium  tuberculosis Beijing family strains
+Isoniazid	HKBS1	S
+Rifampicin	HKBS1	S
+Streptomycin	HKBS1	S
+Ethambutol	HKBS1	S
+Isoniazid	BT1	R
+Rifampicin	BT1	R
+Streptomycin	BT1	R
+Ethambutol	BT1	R
+Isoniazid	BT2	R
+Rifampicin	BT2	R
+Streptomycin	BT2	R
+Ethambutol	BT2	R
+Ethionamide	BT1	R
+Kanamycin	BT1	R
+Capreomycin	BT1	R
+Ofloxacin	BT1	R
+Amikacin	BT1	R
+Pyrazinamide	BT1	R
+Ethionamide	BT2	R
+Kanamycin	BT2	R
+Capreomycin	BT2	R
+Ofloxacin	BT2	R
+Amikacin	BT2	R
+Pyrazinamide	BT2	R
+
diff --git a/other/res_data/mtu/res_profiles_ret.txt b/other/res_data/mtu/res_profiles_ret.txt
new file mode 100644
index 0000000..4613119
--- /dev/null
+++ b/other/res_data/mtu/res_profiles_ret.txt
@@ -0,0 +1,10 @@
+Isoniazid	98-R604_INH-RIF-EM;BT1;BT2;BTB05-552;BTB05-559;CCDC5080;CTRI-4;EAI_OSDD271;FJ05194;GuangZ0019;KZN_1435;KZN_605;KZN_R506;KZN_V2475;OM-V02_005;OSDD105;OSDD493;OSDD515;PanR0201;PanR0202;PanR0203;PanR0205;PanR0206;PanR0207;PanR0208;PanR0209;PanR0301;PanR0304;PanR0305;PanR0306;PanR0307;PanR0308;PanR0309;PanR0311;PanR0313;PanR0314;PanR0315;PanR0316;PanR0317;PanR0401;PanR0402;PanR0403;PanR0404;PanR0405;PanR0407;PanR0408;PanR0409;PanR0410;PanR0411;PanR0412;PanR0501;PanR0503;PanR0505;Pa [...]
+Rifampicin	98-R604_INH-RIF-EM;BT1;BT2;CCDC5080;CTRI-4;EAI_OSDD271;FJ05194;GuangZ0019;KZN_1435;KZN_605;KZN_R506;KZN_V2475;OM-V02_005;OSDD105;OSDD493;OSDD515;PanR0201;PanR0202;PanR0203;PanR0205;PanR0206;PanR0207;PanR0208;PanR0209;PanR0301;PanR0304;PanR0305;PanR0306;PanR0307;PanR0308;PanR0309;PanR0311;PanR0313;PanR0314;PanR0315;PanR0316;PanR0317;PanR0401;PanR0402;PanR0403;PanR0404;PanR0405;PanR0407;PanR0408;PanR0409;PanR0410;PanR0411;PanR0412;PanR0501;PanR0503;PanR0505;PanR0601;PanR0602;Pan [...]
+Ethambutol	98-R604_INH-RIF-EM;BT1;BT2;CCDC5080;CTRI-4;EAI_OSDD271;FJ05194;GuangZ0019;KZN_605;OSDD105;OSDD493;OSDD515;PanR0202;PanR0203;PanR0205;PanR0209;PanR0304;PanR0306;PanR0308;PanR0401;PanR0405;PanR0505;PanR0603;PanR0604;PanR0702;PanR0703;PanR0707;PanR0802;PanR0902;PanR0904;PanR0907;PanR0908;PanR1005;R1909;RGTB423;SP21;WX1;WX3;XDR1219;XDR1221	02_1987;210;7199-99;94_M4241A;BTB05-552;BTB05-559;C;CCDC5079;CDC1551;CPHL_A;CTRI-2;EAS054;Erdman;GM_1503;H37Ra;H37Ra_WGS;H37Rv;HKBS1;HN878;K85; [...]
+Streptomycin	BT1;BT2;CCDC5080;CTRI-4;EAI_OSDD271;FJ05194;GuangZ0019;KZN_605;KZN_R506;KZN_V2475;OSDD105;OSDD493;OSDD515;PanR0201;PanR0202;PanR0203;PanR0205;PanR0206;PanR0207;PanR0208;PanR0209;PanR0301;PanR0304;PanR0306;PanR0308;PanR0309;PanR0311;PanR0314;PanR0316;PanR0317;PanR0401;PanR0402;PanR0403;PanR0405;PanR0407;PanR0410;PanR0411;PanR0412;PanR0501;PanR0505;PanR0601;PanR0603;PanR0604;PanR0605;PanR0607;PanR0609;PanR0702;PanR0703;PanR0707;PanR0801;PanR0802;PanR0803;PanR0804;PanR0902;PanR [...]
+Ofloxacin	BT1;BT2;CTRI-4;FJ05194;GuangZ0019;KZN_605;KZN_R506;OSDD493;SP21;UM_1072388579;WX1;WX3;X122;X189;X28;X85;XDR1219;XDR1221	02_1987;7199-99;94_M4241A;98-R604_INH-RIF-EM;BTB05-552;BTB05-559;C;CCDC5079;CDC1551;CPHL_A;CTRI-2;EAS054;Erdman;GM_1503;H37Ra;H37Ra_WGS;H37Rv;HN878;K85;KZN_1435;KZN_4207;KZN_4207_Broad;MTB-476;MTB-489;OSDD105;OSDD515;S96-129;SUMu001;SUMu002;SUMu003;SUMu004;SUMu005;SUMu006;SUMu007;SUMu008;SUMu009;SUMu010;SUMu011;SUMu012;T17;T46;T92;X132;X156;X29	
+Amikacin	BT1;BT2;CTRI-4;SP21;UM_1072388579;X132;X156;X189;X28;X29;X85;XDR1219;XDR1221	02_1987;7199-99;94_M4241A;BTB05-552;BTB05-559;C;CCDC5079;CDC1551;CPHL_A;CTRI-2;EAS054;Erdman;GM_1503;H37Ra;H37Ra_WGS;H37Rv;HN878;K85;KZN_4207;KZN_4207_Broad;MTB-476;MTB-489;OSDD105;OSDD493;OSDD515;S96-129;SUMu001;SUMu002;SUMu003;SUMu004;SUMu005;SUMu006;SUMu007;SUMu008;SUMu009;SUMu010;SUMu011;SUMu012;T17;T46;T92;WX1;WX3;X122	
+Kanamycin	BT1;BT2;FJ05194;GuangZ0019;KZN_605;KZN_R506;OSDD493;UM_1072388579;X132;X156;X189;X28;X29;X85;XDR1219;XDR1221	02_1987;7199-99;94_M4241A;98-R604_INH-RIF-EM;C;CCDC5079;CDC1551;CPHL_A;CTRI-2;EAS054;Erdman;GM_1503;H37Ra;H37Ra_WGS;H37Rv;HN878;K85;KZN_1435;KZN_4207;KZN_4207_Broad;MTB-476;MTB-489;OSDD105;OSDD515;SUMu001;SUMu002;SUMu003;SUMu004;SUMu005;SUMu006;SUMu007;SUMu008;SUMu009;SUMu010;SUMu011;SUMu012;T17;T46;T92;WX1;WX3	
+Capreomycin	BT1;BT2;CTRI-4;FJ05194;GuangZ0019;OSDD515;SP21;UM_1072388579;X132;X156;X189;X28;XDR1219;XDR1221	02_1987;7199-99;94_M4241A;C;CCDC5079;CDC1551;CPHL_A;CTRI-2;EAS054;Erdman;GM_1503;H37Ra;H37Ra_WGS;H37Rv;HN878;K85;KZN_4207;KZN_4207_Broad;MTB-476;MTB-489;OSDD105;OSDD493;SUMu001;SUMu002;SUMu003;SUMu004;SUMu005;SUMu006;SUMu007;SUMu008;SUMu009;SUMu010;SUMu011;SUMu012;T17;T46;T92;WX1;WX3;X29;X85	
+Ethionamide	BT1;BT2;CTRI-4;FJ05194;GuangZ0019;OSDD493;OSDD515;UM_1072388579;X85	02_1987;7199-99;94_M4241A;C;CCDC5079;CDC1551;CPHL_A;CTRI-2;EAS054;Erdman;GM_1503;H37Ra;H37Ra_WGS;H37Rv;HN878;K85;KZN_4207;KZN_4207_Broad;MTB-476;MTB-489;OSDD105;SP21;SUMu001;SUMu002;SUMu003;SUMu004;SUMu005;SUMu006;SUMu007;SUMu008;SUMu009;SUMu010;SUMu011;SUMu012;T17;T46;T92;X122;X132;X156;X189;X28;X29	
+Pyrazinamide	BT1;BT2;CTRI-4;EAI_OSDD271;OSDD105;OSDD515	02_1987;7199-99;94_M4241A;BTB05-552;BTB05-559;C;CCDC5079;CDC1551;CPHL_A;CTRI-2;EAS054;Erdman;GM_1503;H37Ra;H37Ra_WGS;H37Rv;HN878;K85;KZN_4207;KZN_4207_Broad;MTB-476;MTB-489;OSDD493;S96-129;SP21;SUMu001;SUMu002;SUMu003;SUMu004;SUMu005;SUMu006;SUMu007;SUMu008;SUMu009;SUMu010;SUMu011;SUMu012;T17;T46;T92	
diff --git a/other/res_data/sau/Elementy eksportowane.bib b/other/res_data/sau/Elementy eksportowane.bib
new file mode 100644
index 0000000..f53b02a
--- /dev/null
+++ b/other/res_data/sau/Elementy eksportowane.bib	
@@ -0,0 +1,15 @@
+
+ at phdthesis{harastani_genetic_2013,
+	type = {Thesis},
+	title = {Genetic diversity of Staphylococcus aureus in Lebanon. (c2012)},
+	url = {https://ecommons.lau.edu.lb:8443/xmlui/handle/10725/1478},
+	abstract = {Staphylococcus aureus, one of the most significant human pathogens, causes different infections ranging in severity from mild superficial skin infections to life threatening bacteremia and endocarditis. The occurrence and dissemination of methicillin-resistant variants ({MRSAs)} in clinical settings has raised the concern for the constant increase of nosocomial infections all over the world. Additionally, the appearance of {MRSA} among the community (community acquired [{CA- [...]
+	language = {en},
+	urldate = {2014-02-25},
+	author = {Harastani, Houda Haitham},
+	month = feb,
+	year = {2013},
+	note = {Includes bibliographical references (leaves 42-60).},
+	keywords = {{MLST}, {MRSA}, {MSSA}, {PFGE}, {SCCmec} typing, spa typing, Staphylococcus aureus, Staphylococcus aureus -- Genetic aspects, Staphylococcus aureus infections -- Lebanon},
+	file = {Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\GSJ6G9W4\1478.html:text/html}
+}
\ No newline at end of file
diff --git a/other/res_data/sau/Elementy eksportowane2.bib b/other/res_data/sau/Elementy eksportowane2.bib
new file mode 100644
index 0000000..fed9184
--- /dev/null
+++ b/other/res_data/sau/Elementy eksportowane2.bib	
@@ -0,0 +1,1447 @@
+
+ at article{kuroda_whole_2001,
+	title = {Whole genome sequencing of meticillin-resistant Staphylococcus aureus},
+	volume = {357},
+	issn = {0140-6736},
+	url = {http://www.sciencedirect.com/science/article/pii/S0140673600044032},
+	doi = {10.1016/S0140-6736(00)04403-2},
+	abstract = {{SummaryBackground}
+Staphylococcus aureus is one of the major causes of community-acquired and hospital-acquired infections. It produces numerous toxins including superantigens that cause unique disease entities such as toxic-shock syndrome and staphylococcal scarlet fever, and has acquired resistance to practically all antibiotics. Whole genome analysis is a necessary step towards future development of countermeasures against this organism.
+Methods
+Whole genome sequences of two related S aureus strains (N315 and Mu50) were determined by shot-gun random sequencing. N315 is a meticillin-resistant S aureus ({MRSA)} strain isolated in 1982, and Mu50 is an {MRSA} strain with vancomycin resistance isolated in 1997. The open reading frames were identified by use of {GAMBLER} and {GLIMMER} programs, and annotation of each was done with a {BLAST} homology search, motif analysis, and protein localisation prediction.
+Findings
+The Staphylococcus genome was composed of a complex mixture of genes, many of which seem to have been acquired by lateral gene transfer. Most of the antibiotic resistance genes were carried either by plasmids or by mobile genetic elements including a unique resistance island. Three classes of new pathogenicity islands were identified in the genome: a toxic-shock-syndrome toxin island family, exotoxin islands, and enterotoxin islands. In the latter two pathogenicity islands, clusters of e [...]
+Interpretation
+The remarkable ability of S aureus to acquire useful genes from various organisms was revealed through the observation of genome complexity and evidence of lateral gene transfer. Repeated duplication of genes encoding superantigens explains why S aureus is capable of infecting humans of diverse genetic backgrounds, eliciting severe immune reactions. Investigation of many newly identified gene products, including the 70 putative virulence factors, will greatly improve our understanding of [...]
+	number = {9264},
+	urldate = {2012-03-13},
+	journal = {The Lancet},
+	author = {Kuroda, Makoto and Ohta, Toshiko and Uchiyama, Ikuo and Baba, Tadashi and Yuzawa, Harumi and Kobayashi, Ichizo and Cui, Longzhu and Oguchi, Akio and Aoki, Ken-ichi and Nagai, Yoshimi and Lian, {JianQi} and Ito, Teruyo and Kanamori, Mutsumi and Matsumaru, Hiroyuki and Maruyama, Atsushi and Murakami, Hiroyuki and Hosoyama, Akira and Mizutani-Ui, Yoko and Takahashi, Noriko K and Sawano, Toshihiko and Inoue, Ryu-ichi and Kaito, Chikara and Sekimizu, Kazuhisa and Hirakawa, Hideki a [...]
+	month = apr,
+	year = {2001},
+	pages = {1225--1240},
+	file = {Kuroda et al. - 2001 - Whole genome sequencing of meticillin-resistant St.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\HINAWEXA\Kuroda et al. - 2001 - Whole genome sequencing of meticillin-resistant St.pdf:application/pdf;ScienceDirect Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\JM766XE8\Kuroda et al. - 2001 - Whole genome sequencing of meticillin-resistant St:}
+},
+
+ at article{peleg_whole_2012,
+	title = {Whole Genome Characterization of the Mechanisms of Daptomycin Resistance in Clinical and Laboratory Derived Isolates of Staphylococcus aureus},
+	volume = {7},
+	url = {UR  - http://dx.doi.org/10.1371/journal.pone.0028316,http://dx.doi.org/10.1371/journal.pone.0028316},
+	doi = {10.1371/journal.pone.0028316},
+	abstract = {Background          Daptomycin remains one of our last-line anti-staphylococcal agents. This study aims to characterize the genetic evolution to daptomycin resistance in S. aureus.                          Methods          Whole genome sequencing was performed on a unique collection of isogenic, clinical (21 strains) and laboratory (12 strains) derived strains that had been exposed to daptomycin and developed daptomycin-nonsusceptibility. Electron microscopy ({EM)} and lipid [...]
+	number = {1},
+	urldate = {2012-02-10},
+	journal = {{PLoS} {ONE}},
+	author = {Peleg, Anton Y. and Miyakis, Spiros and Ward, Doyle V. and Earl, Ashlee M. and Rubio, Aileen and Cameron, David R. and Pillai, Satish and Moellering, Robert C. and Eliopoulos, George M.},
+	month = jan,
+	year = {2012},
+	pages = {e28316},
+	file = {journal.pone.0028316.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\IUSXNQE8\journal.pone.0028316.pdf:application/pdf;PLoS Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\ZRE3J9EG\infodoi10.1371journal.pone.html:text/html}
+},
+
+ at article{schijffelen_whole_2010,
+	title = {Whole genome analysis of a livestock-associated methicillin-resistant Staphylococcus aureus {ST398} isolate from a case of human endocarditis},
+	volume = {11},
+	copyright = {http://creativecommons.org/licenses/by/2.0/},
+	issn = {1471-2164},
+	url = {http://www.biomedcentral.com/1471-2164/11/376},
+	doi = {10.1186/1471-2164-11-376},
+	language = {en},
+	number = {1},
+	urldate = {2012-03-13},
+	journal = {{BMC} Genomics},
+	author = {Schijffelen, Maarten J and Boel, {CH} Edwin and van Strijp, Jos {AG} and Fluit, Ad C},
+	month = jun,
+	year = {2010},
+	keywords = {{ST398}},
+	pages = {376},
+	file = {Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\ZZRMQZNT\376.html:text/html}
+},
+
+ at article{desbois_wax_2011,
+	title = {Wax moth larva (Galleria mellonella): an in vivo model for assessing the efficacy of antistaphylococcal agents},
+	issn = {0305-7453, 1460-2091},
+	shorttitle = {Wax moth larva (Galleria mellonella)},
+	url = {http://jac.oxfordjournals.org/content/early/2011/05/27/jac.dkr198},
+	doi = {10.1093/jac/dkr198},
+	abstract = {Objectives To investigate whether the wax moth larva, Galleria mellonella, is a suitable host for assessing the in vivo efficacy of antistaphylococcal agents against Staphylococcus aureus and methicillin-resistant S. aureus ({MRSA)} infections.
+Methods Wax moth larvae were infected with increasing doses of S. aureus to investigate the effect of inoculum size on larval survival. In addition, infected wax moth larvae were treated with daptomycin, penicillin or vancomycin to examine whether these agents were effective against S. aureus and {MRSA} infections in vivo.
+Results Increasing inoculum doses of live S. aureus cells resulted in greater larval mortality, but heat-killed bacteria and cell-free culture filtrates had no detrimental effects on survival. Larval mortality rate also depended on the post-inoculation incubation temperature. After larvae were infected with S. aureus, larval survival was enhanced by administering the antistaphylococcal antibiotics daptomycin or vancomycin. Larval survival increased with increasing doses of the antibiotic [...]
+Conclusions This is the first report to demonstrate that antibiotics are effective in the wax moth larva model for the treatment of infections caused by Gram-positive bacteria. The new wax moth larva model is a useful preliminary model for assessing the in vivo efficacy of candidate antistaphylococcal agents before proceeding to mammalian studies, which may reduce animal experimentation and expense.},
+	language = {en},
+	urldate = {2012-03-13},
+	journal = {Journal of Antimicrobial Chemotherapy},
+	author = {Desbois, Andrew P and Coote, Peter J},
+	month = may,
+	year = {2011},
+	keywords = {antibacterial, antimicrobial, daptomycin, drug discovery, drug resistance, insect infection model, {MRSA}, Newman, Staphylococcus aureus, vancomycin},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\3JNNQM8M\Desbois i Coote - 2011 - Wax moth larva (Galleria mellonella) an in vivo m.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\43AF33HU\jac.dkr198.html:text/html}
+},
+
+ at article{kuroda_two-component_2003,
+	title = {Two-component system {VraSR} positively modulates the regulation of cell-wall biosynthesis pathway in Staphylococcus aureus},
+	volume = {49},
+	issn = {0950-{382X}},
+	url = {http://www.ncbi.nlm.nih.gov/pubmed/12864861},
+	abstract = {{DNA} microarray covering the whole genome of Staphylococcus aureus strain N315 was prepared to investigate transcription profiles. The microarray analyses revealed that vancomycin induces transcription of 139 genes. Forty-six genes among them failed to be induced in the {vraSR} null mutant {KVR.} Part of the genes regulated by {VraSR} system is associated with cell-wall biosynthesis, such as {PBP2}, {SgtB} and {MurZ.} Other cell-wall synthesis inhibitors also induced {VraSR [...]
+	number = {3},
+	urldate = {2012-03-13},
+	journal = {Molecular Microbiology},
+	author = {Kuroda, Makoto and Kuroda, Hiroko and Oshima, Taku and Takeuchi, Fumihiko and Mori, Hirotada and Hiramatsu, Keiichi},
+	month = aug,
+	year = {2003},
+	note = {{PMID:} 12864861},
+	keywords = {Anti-Bacterial Agents, Bacitracin, Bacterial Proteins, beta-Lactam Resistance, Ceftizoxime, Cell Wall, {DNA-Binding} Proteins, Drug Resistance, Multiple, Bacterial, Fosfomycin, Gene Expression Profiling, Gene Expression Regulation, Bacterial, Imipenem, Methicillin Resistance, Microbial Sensitivity Tests, Oligonucleotide Array Sequence Analysis, Oxacillin, Receptors, Cell Surface, {RNA}, Bacterial, {RNA}, Messenger, Staphylococcus aureus, Teicoplanin, Transcription, Genetic,  [...]
+	pages = {807--821}
+},
+
+ at article{pietiainen_transcriptome_2009,
+	title = {Transcriptome analysis of the responses of Staphylococcus aureus to antimicrobial peptides and characterization of the roles of {vraDE} and {vraSR} in antimicrobial resistance},
+	volume = {10},
+	issn = {1471-2164},
+	doi = {10.1186/1471-2164-10-429},
+	journal = {{BMC} Genomics},
+	author = {Pietiainen, Milla and Francois, Patrice and Hyyrylainen, Hanne-Leena and Tangomo, Manuela and Sass, Vera and Sahl, Hans-Georg and Schrenzel, Jacques and Kontinen, Vesa P},
+	month = sep,
+	year = {2009},
+	note = {{PMID:} 19751498
+{PMCID:} 2748101},
+	pages = {429},
+	file = {Pietiäinen et al. - 2009 - Transcriptome analysis of the responses of Staphyl.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\VNMQ58U5\Pietiäinen et al. - 2009 - Transcriptome analysis of the responses of Staphyl.pdf:application/pdf}
+},
+
+ at article{mwangi_tracking_2007,
+	title = {Tracking the in vivo evolution of multidrug resistance in Staphylococcus aureus by whole–genome sequencing},
+	volume = {104},
+	number = {22},
+	journal = {Proceedings of the National Academy of Sciences},
+	author = {Mwangi, M. M. and Wu, S. W. and Zhou, Y. and Sieradzki, K. and de Lencastre, H. and Richardson, P. and Bruce, D. and Rubin, E. and Myers, E. and Siggia, E. D. and Tomasz, A.},
+	month = may,
+	year = {2007},
+	pages = {9451–9456}
+},
+
+ at article{dickgiesser_toxic_1987,
+	title = {Toxic shock syndrome toxin-1 ({TSST-1):} influence of its production by subinhibitory antibiotic concentrations},
+	volume = {15},
+	issn = {0300-8126},
+	shorttitle = {Toxic shock syndrome toxin-1 ({TSST-1)}},
+	url = {http://www.ncbi.nlm.nih.gov/pubmed/3692606},
+	abstract = {Using seven different toxic shock syndrome toxin-1 ({TSST-1)} producing Staphylococcus aureus strains, we examined the influence on growth and toxin production of subinhibitory concentrations of clindamycin, erythromycin, lincomycin, kanamycin, tetracycline and tunicamycin. The behaviour of six S. aureus (= {W/MT-strains)} was identical, the one of S. aureus {MN8} was different in part. Using the different subinhibitory antibiotic concentrations, bacterial growth was inhibit [...]
+	number = {5},
+	urldate = {2012-03-13},
+	journal = {Infection},
+	author = {Dickgiesser, N and Wallach, U},
+	year = {1987},
+	note = {{PMID:} 3692606},
+	keywords = {Anti-Bacterial Agents, Bacterial Toxins, Clindamycin, Enterotoxins, Erythromycin, Kanamycin, Lincomycin, {MN8}, Staphylococcus aureus, Superantigens, Tetracycline, Tunicamycin},
+	pages = {351--353},
+	file = {fulltext.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\P3RZDW62\fulltext.pdf:application/pdf}
+},
+
+ at article{crisostomo_evolution_2001,
+	title = {The evolution of methicillin resistance in Staphylococcus  aureus: Similarity of genetic backgrounds in historically early  methicillin-susceptible and -resistant isolates and contemporary epidemic clones},
+	volume = {98},
+	issn = {0027-8424},
+	shorttitle = {The evolution of methicillin resistance in Staphylococcus  aureus},
+	doi = {10.1073/pnas.161272898},
+	number = {17},
+	journal = {Proceedings of the National Academy of Sciences of the United States of America},
+	author = {Crisostomo, M. Inês and Westh, Henrik and Tomasz, Alexander and Chung, Marilyn and Oliveira, Duarte C. and de Lencastre, Herminia},
+	month = aug,
+	year = {2001},
+	note = {{PMID:} 11481426
+{PMCID:} 55544},
+	pages = {9865--9870},
+	file = {PubMed Central Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\5KNI8H94\Crisóstomo et al. - 2001 - The evolution of methicillin resistance in Staphyl.pdf:application/pdf}
+},
+
+ at article{wyke_synthesis_1982,
+	title = {Synthesis of peptidoglycan in vivo in methicillin-resistant Staphylococcus aureus},
+	volume = {127},
+	issn = {0014-2956},
+	abstract = {The cell-wall composition and degree of cross-linking of peptidoglycan in a strain of Staphylococcus aureus (strain {MR-1)} which is highly resistant to methicillin were similar to those of other strains of S. aureus. When the organism was grown in the presence of very low concentrations of methicillin (equivalent to 3 x 10(-4) x minimum growth-inhibitory concentration [{MGIC]} there was a large decrease in the degree of cross-linking of the peptidoglycan. Increasing concent [...]
+	language = {eng},
+	number = {3},
+	journal = {European journal of biochemistry / {FEBS}},
+	author = {Wyke, A W and Ward, J B and Hayes, M V},
+	month = oct,
+	year = {1982},
+	note = {{PMID:} 7173195},
+	keywords = {Bacterial Proteins, Biopolymers, Carrier Proteins, Cell Wall, Hexosyltransferases, Methicillin, Muramoylpentapeptide Carboxypeptidase, Penicillin Resistance, Penicillin-Binding Proteins, Peptidoglycan, Peptidyl Transferases, Staphylococcus aureus},
+	pages = {553--558}
+},
+
+ at article{coleman_susceptibility_1985,
+	title = {Susceptibility to Antimicrobial Agents and Analysis of Plasmids in Gentamicin- and Methicillin-Resistant Staphylococcus Aureus from Dublin Hospitals},
+	volume = {20},
+	issn = {0022-2615, 1473-5644},
+	url = {http://jmm.sgmjournals.org/content/20/2/157},
+	doi = {10.1099/00222615-20-2-157},
+	language = {en},
+	number = {2},
+	urldate = {2012-03-24},
+	journal = {Journal of Medical Microbiology},
+	author = {Coleman, D. C and Pomeroy, H. and Estridge, J. K and Keane, C. T and Cafferkey, M. T and Hone, R. and Foster, T. J},
+	month = oct,
+	year = {1985},
+	pages = {157--167},
+	file = {Coleman et al. - 1985 - Susceptibility to Antimicrobial Agents and Analysi.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\79XVQVZT\Coleman et al. - 1985 - Susceptibility to Antimicrobial Agents and Analysi.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\WW8FCH8T\Coleman et al. - 1985 - Susceptibility to Antimicrobial Agents and Analysi.html:text/html}
+},
+
+ at article{highlander_subtle_2007,
+	title = {Subtle genetic changes enhance virulence of methicillin resistant and sensitive Staphylococcus aureus.},
+	volume = {7},
+	number = {1},
+	journal = {{BMC} microbiology},
+	author = {Highlander, Sarah K. and Hultén, Kristina G. and Qin, Xiang and Jiang, Huaiyang and Yerrapragada, Shailaja and Mason, Edward O. and Shang, Yue and Williams, Tiffany M. and Fortunov, Régine M. and Liu, Yamei and Igboeli, Okezie and Petrosino, Joseph and Tirumalai, Madhan and Uzman, Akif and Fox, George E. and Cardenas, Ana Maria M. and Muzny, Donna M. and Hemphill, Lisa and Ding, Yan and Dugan, Shannon and Blyth, Peter R. and Buhay, Christian J. and Dinh, Huyen H. and Hawes, Al [...]
+	month = nov,
+	year = {2007},
+	pages = {99+}
+},
+
+ at book{_staphylococci_2010,
+	address = {Hoboken ({NJ);} Chichester (West Sussex)},
+	title = {Staphylococci in human disease},
+	isbn = {9781405163323 1405163321},
+	language = {English},
+	publisher = {Wiley-Blackwell},
+	year = {2010}
+},
+
+ at article{bikels-goshen_staphylococcal_2010,
+	title = {Staphylococcal strains adapted to epigallocathechin gallate ({EGCG)} show reduced susceptibility to vancomycin, oxacillin and ampicillin, increased heat tolerance, and altered cell morphology},
+	volume = {138},
+	issn = {1879-3460},
+	doi = {10.1016/j.ijfoodmicro.2010.01.011},
+	abstract = {Epigallocathechin gallate ({EGCG)} possesses many beneficial properties, such as anticarcinogenicity, antiatherogenicity, as well as antioxidant and antibacterial activities. However, the bacterial response to sublethal concentrations of {EGCG} has not been studied. Here we investigated whether short exposure of staphylococci strains to sublethal doses of {EGCG} can lead to adaptation and cross-resistance. Two-hour exposure of five strains to 20 microg/ml of {EGCG} did not a [...]
+	language = {eng},
+	number = {1-2},
+	journal = {International journal of food microbiology},
+	author = {Bikels-Goshen, Tamar and Landau, Elad and Saguy, Sam and Shapira, Roni},
+	month = mar,
+	year = {2010},
+	note = {{PMID:} 20132996},
+	keywords = {Adaptation, Physiological, Ampicillin, Anti-Bacterial Agents, Catechin, Cell Wall, Drug Resistance, Multiple, Bacterial, Hot Temperature, Microbial Sensitivity Tests, Microscopy, Electron, Transmission, Oxacillin, Staphylococcus aureus, vancomycin},
+	pages = {26--31}
+},
+
+ at article{xue_sequence_2011,
+	title = {Sequence Diversities of Serine-Aspartate Repeat Genes among Staphylococcus aureus Isolates from Different Hosts Presumably by Horizontal Gene Transfer},
+	volume = {6},
+	url = {UR  - http://dx.doi.org/10.1371/journal.pone.0020332,http://dx.doi.org/10.1371/journal.pone.0020332},
+	doi = {10.1371/journal.pone.0020332},
+	abstract = {Background
+          Horizontal gene transfer ({HGT)} is recognized as one of the major forces for bacterial genome evolution. Many clinically important bacteria may acquire virulence factors and antibiotic resistance through {HGT.} The comparative genomic analysis has become an important tool for identifying {HGT} in emerging pathogens. In this study, the Serine-Aspartate Repeat (Sdr) family has been compared among different sources of Staphylococcus aureus (S. aureus) to discover sequence diversi [...]
+        
+        
+          {Methodology/Principal} Findings
+          Four sdr genes were analyzed for 21 different S. aureus strains and 218 mastitis-associated S. aureus isolates from Canada. Comparative genomic analyses revealed that S. aureus strains from bovine mastitis ({RF122} and mastitis isolates in this study), ovine mastitis ({ED133)}, pig ({ST398)}, chicken ({ED98)}, and human methicillin-resistant S. aureus ({MRSA)} ({TCH130}, {MRSA252}, Mu3, Mu50, N315, 04-02981, {JH1} and {JH9)} were highly associated with one another, presumably d [...]
+        
+        
+          Conclusions
+          Certain sdr gene sequences were shared in S. aureus strains and isolates from different species presumably due to {HGT.} Our results also suggest that the distributional assay of virulence factors should detect the full sequences or full functional regions of these factors. The traditional assay using short conserved regions may not be accurate or credible. These findings have important implications with regard to animal husbandry practices that may inadvertently enhance the co [...]
+	number = {5},
+	urldate = {2012-03-13},
+	journal = {{PLoS} {ONE}},
+	author = {Xue, Huping and Lu, Hong and Zhao, Xin},
+	month = may,
+	year = {2011},
+	pages = {e20332},
+	file = {PLoS Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\EHWIAEVB\infodoi10.1371journal.pone.html:text/html;Xue et al. - 2011 - Sequence Diversities of Serine-Aspartate Repeat Ge.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\C96KNJ42\Xue et al. - 2011 - Sequence Diversities of Serine-Aspartate Repeat Ge.pdf:application/pdf}
+},
+
+ at article{burnside_regulation_2010,
+	title = {Regulation of Hemolysin Expression and Virulence of Staphylococcus aureus by a {Serine/Threonine} Kinase and Phosphatase},
+	volume = {5},
+	number = {6},
+	journal = {{PLoS} {ONE}},
+	author = {Burnside, Kellie and Lembo, Annalisa and de los Reyes, Melissa and Iliuk, Anton and {BinhTran}, Nguyen-Thao and Connelly, James E. and Lin, Wan-Jung and Schmidt, Byron Z. and Richardson, Anthony R. and Fang, Ferric C. and Tao, Weiguo Andy and Rajagopal, Lakshmi},
+	year = {2010},
+	pages = {e11071}
+},
+
+ at article{robinson_re-emergence_2005,
+	title = {Re-emergence of early pandemic Staphylococcus aureus as a community-acquired meticillin-resistant clone},
+	volume = {365},
+	issn = {1474-{547X}},
+	url = {http://www.ncbi.nlm.nih.gov/pubmed/15811459},
+	doi = {10.1016/S0140-6736(05)74814-5},
+	abstract = {During the 1950s, the notorious penicillin-resistant clone of Staphylococcus aureus known as phage type 80/81 emerged and caused serious hospital-acquired and community-acquired infections worldwide. This clone was largely eliminated in the 1960s, concurrent with the widespread use of penicillinase-resistant beta lactams. We investigated whether early 80/81 isolates had the genes for Panton-Valentine leucocidin, a toxin associated with virulence in healthy young people. Mult [...]
+	number = {9466},
+	urldate = {2012-03-13},
+	journal = {Lancet},
+	author = {Robinson, D Ashley and Kearns, Angela M and Holmes, Anne and Morrison, Donald and Grundmann, Hajo and Edwards, Giles and {O'Brien}, Frances G and Tenover, Fred C and {McDougal}, Linda K and Monk, Alastair B and Enright, Mark C},
+	month = apr,
+	year = {2005},
+	note = {{PMID:} 15811459},
+	keywords = {Australia, Bacterial Toxins, Bacteriophage Typing, Canada, Community-Acquired Infections, Disease Outbreaks, Exotoxins, Genes, Bacterial, Genotype, Humans, Leukocidins, Methicillin Resistance, Staphylococcal Infections, Staphylococcus aureus, Staphylococcus Phages},
+	pages = {1256--1258},
+	file = {Robinson et al. - 2005 - Re-emergence of early pandemic Staphylococcus aure.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\KMN9JDJQ\Robinson et al. - 2005 - Re-emergence of early pandemic Staphylococcus aure.pdf:application/pdf}
+},
+
+ at article{brackman_quorum_2011,
+	title = {Quorum Sensing Inhibitors Increase the Susceptibility of Bacterial Biofilms to Antibiotics In Vitro and In Vivo},
+	volume = {55},
+	number = {6},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Brackman, Gilles and Cos, Paul and Maes, Louis and Nelis, Hans J. and Coenye, Tom},
+	year = {2011},
+	pages = {2655–2661}
+},
+
+ at article{yamada_quinolone_1997,
+	title = {Quinolone Susceptibility of {norA-Disrupted} Staphylococcus Aureus.},
+	volume = {41},
+	issn = {0066-4804, 1098-6596},
+	url = {http://aac.asm.org/content/41/10/2308},
+	abstract = {The {MIC} of norfloxacin for the {norA-disrupted} mutant termed {RDN1}, obtained from quinolone-susceptible Staphylococcus aureus {RN4220}, was eightfold lower than that for {RN4220.} The increase in susceptibility was related to an increase of drug accumulation by {RDN1.} These results indicate that {NorA} plays an important role in the susceptibility of quinolone-susceptible S. aureus to selected quinolones.},
+	language = {en},
+	number = {10},
+	urldate = {2012-03-24},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Yamada, H. and Kurose-Hamada, S. and Fukuda, Y. and Mitsuyama, J. and Takahata, M. and Minami, S. and Watanabe, Y. and Narita, H.},
+	month = oct,
+	year = {1997},
+	pages = {2308--2309},
+	file = {Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\4PWK7VHM\Yamada et al. - 1997 - Quinolone Susceptibility of norA-Disrupted Staphyl.html:text/html;Yamada et al. - 1997 - Quinolone Susceptibility of norA-Disrupted Staphyl.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\6T4BNVKM\Yamada et al. - 1997 - Quinolone Susceptibility of norA-Disrupted Staphyl.pdf:application/pdf}
+},
+
+ at article{lin_proinflammatory_2011,
+	title = {Proinflammatory Exoprotein Characterization of Toxic Shock Syndrome Staphylococcus aureus},
+	volume = {50},
+	issn = {0006-2960},
+	url = {http://dx.doi.org/10.1021/bi200435n},
+	doi = {10.1021/bi200435n},
+	abstract = {Pulsed-field gel electrophoresis ({PFGE)} clonal type {USA200} is the most widely disseminated Staphylococcus aureus colonizer of the nose and is a major cause of toxic shock syndrome ({TSS).} Exoproteins derived from these organisms have been suggested to contribute to their colonization and causation of human diseases but have not been well-characterized. Two representative S. aureus {USA200} isolates, {MNPE} (α-toxin positive) and {CDC587} (α-toxin mutant), isolated from  [...]
+Pulsed-field gel electrophoresis ({PFGE)} clonal type {USA200} is the most widely disseminated Staphylococcus aureus colonizer of the nose and is a major cause of toxic shock syndrome ({TSS).} Exoproteins derived from these organisms have been suggested to contribute to their colonization and causation of human diseases but have not been well-characterized. Two representative S. aureus {USA200} isolates, {MNPE} (α-toxin positive) and {CDC587} (α-toxin mutant), isolated from pulmonary pos [...]
+	number = {33},
+	journal = {Biochemistry},
+	author = {Lin, Ying-Chi and Anderson, Michele J. and Kohler, Petra L. and Strandberg, Kristi L. and Olson, Michael E. and Horswill, Alexander R. and Schlievert, Patrick M. and Peterson, Marnie L.},
+	year = {2011},
+	pages = {7157--7167},
+	file = {ACS Full Text Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\3VKZ9X6I\bi200435n.html:text/html;Lin et al. - 2011 - Proinflammatory Exoprotein Characterization of Tox.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\Q6MMKWVK\Lin et al. - 2011 - Proinflammatory Exoprotein Characterization of Tox.pdf:application/pdf;Proinflammatory Exoprotein Characterization of Toxic Shock Syndrome Staphylococ [...]
+},
+
+ at book{lee_phenotypic_1999,
+	title = {Phenotypic and genetic characterization of borderline oxacillin-resistant Staphylococcus aureus},
+	url = {http://www.synergiescanada.org/theses/otu/14705},
+	publisher = {University of Toronto},
+	author = {Lee, Mark Joon-Sung},
+	year = {1999},
+	file = {Lee - Phenotypic and genetic characterization of borderl.html:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\MPPQRGSQ\Lee - Phenotypic and genetic characterization of borderl.html:text/html}
+},
+
+ at article{snyder_patric:_2007,
+	title = {{PATRIC:} The {VBI} {PathoSystems} Resource Integration Center},
+	volume = {35},
+	issn = {0305-1048},
+	shorttitle = {{PATRIC}},
+	doi = {10.1093/nar/gkl858},
+	abstract = {The {PathoSystems} Resource Integration Center ({PATRIC)} is one of eight Bioinformatics Resource Centers ({BRCs)} funded by the National Institute of Allergy and Infection Diseases ({NIAID)} to create a data and analysis resource for selected {NIAID} priority pathogens, specifically proteobacteria of the genera Brucella, Rickettsia and Coxiella, and corona-, calici- and lyssaviruses and viruses associated with hepatitis A and E. The goal of the project is to provide a compr [...]
+	number = {Database issue},
+	journal = {Nucleic Acids Research},
+	author = {Snyder, E. E. and Kampanya, N. and Lu, J. and Nordberg, E. K. and Karur, H. R. and Shukla, M. and Soneja, J. and Tian, Y. and Xue, T. and Yoo, H. and Zhang, F. and Dharmanolla, C. and Dongre, N. V. and Gillespie, J. J. and Hamelius, J. and Hance, M. and Huntington, K. I. and Jukneliene, D. and Koziski, J. and Mackasmiel, L. and Mane, S. P. and Nguyen, V. and Purkayastha, A. and Shallom, J. and Yu, G. and Guo, Y. and Gabbard, J. and Hix, D. and Azad, A. F. and Baker, S. C. and  [...]
+	month = jan,
+	year = {2007},
+	note = {{PMID:} 17142235
+{PMCID:} 1669763},
+	pages = {D401--D406},
+	file = {PubMed Central Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\DDQWIVFI\Snyder et al. - 2007 - PATRIC The VBI PathoSystems Resource Integration .pdf:application/pdf}
+},
+
+ at misc{eyyunni_network_2011,
+	title = {Network on Antimicrobial Resistance in Staphylococcus aureus},
+	url = {http://www.narsa.net/},
+	abstract = {{NARSA}},
+	author = {Eyyunni, Lakshmi and Pettyjohn, Richard and Sahm, Daniel F.},
+	year = {2011}
+},
+
+ at article{neoh_mutated_2008,
+	title = {Mutated Response Regulator {graR} Is Responsible for Phenotypic Conversion of Staphylococcus aureus from Heterogeneous Vancomycin-Intermediate Resistance to Vancomycin-Intermediate Resistance},
+	volume = {52},
+	issn = {0066-4804},
+	doi = {10.1128/AAC.00534-07},
+	abstract = {Multistep genetic alteration is required for methicillin-resistant Staphylococcus aureus ({MRSA)} to achieve the level of vancomycin resistance of vancomycin-intermediate S. aureus ({VISA).} In the progression of vancomycin resistance, strains with heterogeneous vancomycin resistance, designated hetero-{VISA}, are observed. In studying the whole-genome sequencing of the representative hetero-{VISA} strain Mu3 and comparing it with that of closely related {MRSA} strains Mu50  [...]
+	number = {1},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Neoh, Hui-min and Cui, Longzhu and Yuzawa, Harumi and Takeuchi, Fumihiko and Matsuo, Miki and Hiramatsu, Keiichi},
+	month = jan,
+	year = {2008},
+	note = {{PMID:} 17954695
+{PMCID:} 2223914},
+	pages = {45--53},
+	file = {Neoh et al. - 2008 - Mutated Response Regulator graR Is Responsible for.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\9NHT3MBT\Neoh et al. - 2008 - Mutated Response Regulator graR Is Responsible for.pdf:application/pdf}
+},
+
+ at article{oneill_molecular_2006,
+	title = {Molecular Genetic and Structural Modeling Studies of Staphylococcus aureus {RNA} Polymerase and the Fitness of Rifampin Resistance Genotypes in Relation to Clinical Prevalence},
+	volume = {50},
+	number = {1},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {{O'Neill}, A. J. and Huovinen, T. and Fishwick, C. W. G. and Chopra, I.},
+	year = {2006},
+	pages = {298–309}
+},
+
+ at article{herron-olson_molecular_2007,
+	title = {Molecular Correlates of Host Specialization in Staphylococcus aureus},
+	volume = {2},
+	url = {UR  - http://dx.plos.org/10.1371/journal.pone.0001120,http://dx.plos.org/10.1371/journal.pone.0001120},
+	doi = {10.1371/journal.pone.0001120},
+	abstract = {{BackgroundThe} majority of Staphylococcus aureus isolates that are recovered from either serious infections in humans or from mastitis in cattle represent genetically distinct sets of clonal groups. Moreover, population genetic analyses have provided strong evidence of host specialization among S. aureus clonal groups associated with human and ruminant infection. However, the molecular basis of host specialization in S. aureus is not {understood.Methodology/Principal} {Find [...]
+	number = {10},
+	urldate = {2012-03-13},
+	journal = {{PLoS} {ONE}},
+	author = {Herron-Olson, Lisa and Fitzgerald, J. Ross and Musser, James M. and Kapur, Vivek},
+	month = oct,
+	year = {2007},
+	keywords = {{RF122}},
+	pages = {e1120},
+	file = {Herron-Olson et al. - 2007 - Molecular Correlates of Host Specialization in Sta.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\IU7Q9NXK\Herron-Olson et al. - 2007 - Molecular Correlates of Host Specialization in Sta.pdf:application/pdf;PLoS Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\B4J6WMPK\infodoi10.1371journal.pone.html:text/html}
+},
+
+ at article{beltramini_modulation_2009,
+	title = {Modulation of Cell Wall Structure and Antimicrobial Susceptibility by a Staphylococcus aureus Eukaryote-Like {Serine/Threonine} Kinase and Phosphatase},
+	volume = {77},
+	issn = {0019-9567},
+	doi = {10.1128/IAI.01499-08},
+	abstract = {It is well established that prokaryotes and eukaryotes alike utilize phosphotransfer to regulate cellular functions. One method by which this occurs is via eukaryote-like serine/threonine kinase ({ESTK)-} and phosphatase ({ESTP)-regulated} pathways. The role of these enzymes in Staphylococcus aureus has not yet been examined. This resilient organism is a common cause of hospital-acquired and community-associated infections, infecting immunocompromised and immunocompetent hos [...]
+	number = {4},
+	journal = {Infection and Immunity},
+	author = {Beltramini, Amanda M. and Mukhopadhyay, Chitrangada D. and Pancholi, Vijay},
+	month = apr,
+	year = {2009},
+	note = {{PMID:} 19188361
+{PMCID:} 2663143},
+	pages = {1406--1416},
+	file = {PubMed Central Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\RD76Z3BR\Beltramini et al. - 2009 - Modulation of Cell Wall Structure and Antimicrobia.pdf:application/pdf}
+},
+
+ at article{garciaalvarez_meticillinresistant_2011,
+	title = {Meticillin–resistant Staphylococcus aureus with a novel {mecA} homologue in human and bovine populations in the {UK} and Denmark: a descriptive study},
+	volume = {11},
+	number = {8},
+	journal = {The Lancet Infectious Diseases},
+	author = {García–Álvarez, Laura and Holden, Matthew T. G. and Lindsay, Heather and Webb, Cerian R. and Brown, Derek F. J. and Curran, Martin D. and Walpole, Enid and Brooks, Karen and Pickard, Derek J. and Teale, Christopher and Parkhill, Julian and Bentley, Stephen D. and Edwards, Giles F. and Girvan, E. Kirsty and Kearns, Angela M. and Pichon, Bruno and Hill, Robert L. R. and Larsen, Anders R. and Skov, Robert L. and Peacock, Sharon J. and Maskell, Duncan J. and Holmes, Mark A.},
+	month = jun,
+	year = {2011},
+	pages = {595–603}
+},
+
+ at article{smith_methicillinresistant_2009,
+	title = {{Methicillin–Resistant} Staphylococcus aureus ({MRSA)} Strain {ST398} Is Present in Midwestern {U.S.} Swine and Swine Workers},
+	volume = {4},
+	number = {1},
+	journal = {{PLoS} {ONE}},
+	author = {Smith, Tara C. and Male, Michael J. and Harper, Abby L. and Kroeger, Jennifer S. and Tinkler, Gregory P. and Moritz, Erin D. and Capuano, Ana W. and Herwaldt, Loreen A. and Diekema, Daniel J.},
+	year = {2009},
+	pages = {e4258}
+},
+
+ at article{howden_isolates_2006,
+	title = {Isolates with Low-Level Vancomycin Resistance Associated with Persistent Methicillin-Resistant Staphylococcus aureus Bacteremia},
+	volume = {50},
+	issn = {0066-4804, 1098-6596},
+	url = {http://aac.asm.org/content/50/9/3039},
+	doi = {10.1128/AAC.00422-06},
+	abstract = {Low-level vancomycin-resistant Staphylococcus aureus (vancomycin-intermediate S. aureus [{VISA]} and heterogenous {VISA} [{hVISA])} is increasingly reported and leads to glycopeptide treatment failure. Various phenotypic features have been reported for these isolates, but the genetic changes leading to {hVISA} and {VISA} have yet to be clearly determined. We assessed phenotypic, antibiotic resistance, and genomic changes by using genomic {DNA} microarray comparison and seque [...]
+	language = {en},
+	number = {9},
+	urldate = {2012-03-11},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Howden, Benjamin P and Johnson, Paul D. R and Ward, Peter B and Stinear, Timothy P and Davies, John K},
+	month = sep,
+	year = {2006},
+	keywords = {{JKD6008}, {JKD6009}, Teicoplanin, Vancomycin},
+	pages = {3039--3047},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\KXIPC4PE\Howden et al. - 2006 - Isolates with Low-Level Vancomycin Resistance Asso.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\XBINZ5IS\3039.html:text/html}
+},
+
+ at article{meehl_interaction_2007,
+	title = {Interaction of the {graRS} {Two–Component} System with the {vraFG} {ABC–Transporter} to Support {Vancomycin–Intermediate} Resistance in Staphylococcus aureus},
+	volume = {51},
+	number = {8},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Meehl, Michael and Herbert, Silvia and Gotz, Friedrich and Cheung, Ambrose},
+	year = {2007},
+	pages = {2679–2689}
+},
+
+ at article{gill_insights_2005,
+	title = {Insights on evolution of virulence and resistance from the complete genome analysis of an early methicillin-resistant Staphylococcus aureus strain and a biofilm-producing methicillin-resistant Staphylococcus epidermidis strain},
+	volume = {187},
+	issn = {0021-9193},
+	doi = {10.1128/JB.187.7.2426-2438.2005},
+	abstract = {Staphylococcus aureus is an opportunistic pathogen and the major causative agent of numerous hospital- and community-acquired infections. Staphylococcus epidermidis has emerged as a causative agent of infections often associated with implanted medical devices. We have sequenced the approximately 2.8-Mb genome of S. aureus {COL}, an early methicillin-resistant isolate, and the approximately 2.6-Mb genome of S. epidermidis {RP62a}, a methicillin-resistant biofilm isolate. Comp [...]
+	language = {eng},
+	number = {7},
+	journal = {Journal of bacteriology},
+	author = {Gill, Steven R and Fouts, Derrick E and Archer, Gordon L and Mongodin, Emmanuel F and Deboy, Robert T and Ravel, Jacques and Paulsen, Ian T and Kolonay, James F and Brinkac, Lauren and Beanan, Mauren and Dodson, Robert J and Daugherty, Sean C and Madupu, Ramana and Angiuoli, Samuel V and Durkin, A Scott and Haft, Daniel H and Vamathevan, Jessica and Khouri, Hoda and Utterback, Terry and Lee, Chris and Dimitrov, George and Jiang, Lingxia and Qin, Haiying and Weidman, Jan and Tr [...]
+	month = apr,
+	year = {2005},
+	note = {{PMID:} 15774886 
+{PMCID:} {PMC1065214}},
+	keywords = {Biofilms, Chromosome Mapping, Evolution, Molecular, Gene Transfer, Horizontal, Genome, Bacterial, Genomic Islands, Methicillin Resistance, Molecular Sequence Data, Open Reading Frames, Phylogeny, Staphylococcus aureus, Staphylococcus epidermidis, Virulence},
+	pages = {2426--2438}
+},
+
+ at article{oneill_insertional_2002,
+	title = {Insertional inactivation of {mutS} in Staphylococcus aureus reveals potential for elevated mutation frequencies, although the prevalence of mutators in clinical isolates is low},
+	volume = {50},
+	issn = {0305-7453, 1460-2091},
+	url = {http://jac.oxfordjournals.org/content/50/2/161},
+	doi = {10.1093/jac/dkf118},
+	abstract = {Populations defective in mismatch repair that exhibit elevated mutation frequencies to antibiotic resistance have been reported amongst pathogenic Gram-negative bacteria. Whether such mutators occur widely in clinical isolates of Gram-positive species, and in important pathogens such as Staphylococcus aureus, is unknown. Insertional inactivation of the {mutS} gene of S. aureus {RN4220} by targeted plasmid integration produced a strain with mutation frequencies for antibiotic [...]
+	language = {en},
+	number = {2},
+	urldate = {2014-02-21},
+	journal = {Journal of Antimicrobial Chemotherapy},
+	author = {{O’Neill}, Alexander J. and Chopra, Ian},
+	month = aug,
+	year = {2002},
+	note = {{PMID:} 12161395},
+	pages = {161--169},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\JUEF9D2A\O’Neill i Chopra - 2002 - Insertional inactivation of mutS in Staphylococcus.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\2EEKKEIH\161.html:text/html}
+},
+
+ at article{sakoulas_induction_2006,
+	title = {Induction of Daptomycin Heterogeneous Susceptibility in Staphylococcus aureus by Exposure to Vancomycin},
+	volume = {50},
+	issn = {0066-4804},
+	doi = {10.1128/AAC.50.4.1581-1585.2006},
+	abstract = {We studied vancomycin and daptomycin susceptibility in methicillin-resistant Staphylococcus aureus from patients exposed to vancomycin, glycopeptide-intermediate S. aureus, and S. aureus passaged in vancomycin-containing medium. A correlation between vancomycin and daptomycin heteroresistance was noted in some strains, suggesting that exposure of S. aureus to vancomycin may affect susceptibility to daptomycin.},
+	number = {4},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Sakoulas, George and Alder, Jeff and Thauvin-Eliopoulos, Claudie and Moellering, Robert C. and Eliopoulos, George M.},
+	month = apr,
+	year = {2006},
+	note = {{PMID:} 16569891
+{PMCID:} 1426932},
+	pages = {1581--1585}
+},
+
+ at article{kuroda_identification_2000,
+	title = {Identification of the up- and down-regulated genes in vancomycin-resistant Staphylococcus aureus strains Mu3 and Mu50 by {cDNA} differential hybridization method},
+	volume = {269},
+	issn = {0006-{291X}},
+	url = {http://www.ncbi.nlm.nih.gov/pubmed/10708580},
+	doi = {10.1006/bbrc.2000.2277},
+	abstract = {We previously reported the first vancomycin-resistant Staphylococcus aureus ({VRSA)} clinical strain, Mu50, whose cell wall is remarkably thickened resulting from the activation of cell-wall synthesis. To explore the genetic basis for the vancomycin resistance, {cDNA} differential hybridization was performed using {RNAs} extracted from a set of closely related S. aureus strains with various levels of vancomycin susceptibilities. The strains were Mu3 ({MIC} = 2 microg/ml), Mu [...]
+	number = {2},
+	urldate = {2012-03-13},
+	journal = {Biochemical and Biophysical Research Communications},
+	author = {Kuroda, M and Kuwahara-Arai, K and Hiramatsu, K},
+	month = mar,
+	year = {2000},
+	note = {{PMID:} 10708580},
+	keywords = {Anti-Bacterial Agents, Base Sequence, {DNA} Primers, {DNA}, Complementary, Down-Regulation, Drug Resistance, Microbial, Genes, Bacterial, Nucleic Acid Hybridization, Staphylococcus aureus, Up-Regulation, vancomycin},
+	pages = {485--490}
+},
+
+ at article{howden_genomic_2008,
+	title = {Genomic Analysis Reveals a Point Mutation in the Two-Component Sensor Gene {graS} That Leads to Intermediate Vancomycin Resistance in Clinical Staphylococcus aureus},
+	volume = {52},
+	issn = {0066-4804, 1098-6596},
+	url = {http://aac.asm.org/content/52/10/3755},
+	doi = {10.1128/AAC.01613-07},
+	language = {en},
+	number = {10},
+	urldate = {2012-03-11},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Howden, Benjamin P and Stinear, Timothy P and Allen, David L and Johnson, Paul D. R and Ward, Peter B and Davies, John K},
+	month = oct,
+	year = {2008},
+	keywords = {{JKD6008}},
+	pages = {3755--3762},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\N2CVVDPB\Howden et al. - 2008 - Genomic Analysis Reveals a Point Mutation in the T.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\UJGB4AE3\3755.full.html:text/html}
+},
+
+ at article{rolain_genomic_2009,
+	title = {Genomic analysis of an emerging multiresistant Staphylococcus aureus strain rapidly spreading in cystic fibrosis patients revealed the presence of an antibiotic inducible bacteriophage},
+	volume = {4},
+	issn = {1745-6150},
+	url = {http://www.ncbi.nlm.nih.gov/pubmed/19144117},
+	doi = {10.1186/1745-6150-4-1},
+	abstract = {{BACKGROUND}
+
+Staphylococcus aureus is a major human pathogen responsible for a variety of nosocomial and community-acquired infections. Recent reports show that the prevalence of Methicillin-Resistant S. aureus ({MRSA)} infections in cystic fibrosis ({CF)} patients is increasing. In 2006 in Marseille, France, we have detected an atypical {MRSA} strain with a specific antibiotic susceptibility profile and a unique growth phenotype. Because of the clinical importance of the spread of such strain among  [...]
+
+
+{RESULTS}
+
+{CF-Marseille} is multidrug resistant, has a hetero-Glycopeptide-Intermediate resistance S. aureus phenotype, grows on Cepacia agar with intense orange pigmentation and has a thickened cell wall. Phylogenetic analyses using Complete Genome Hybridization and Multi Locus {VNTR} Assay showed that {CF-Marseille} was closely related to strain Mu50, representing vancomycin-resistant S. aureus. Analysis of {CF-Marseille} shows a similar core genome to that of previously sequenced {MRSA} strains [...]
+
+
+{CONCLUSION}
+
+In conclusion, we demonstrated the emergence and spreading of a new isolate of {MRSA} in {CF} patients in Marseille, France, that has probably been selected in the airways by antibiotic pressure. Antibiotic-mediated phage induction may result in high-frequency transfer and the unintended consequence of promoting the spread of virulence and/or antibiotic resistance determinants. The emergence of well-adapted {MRSA} is worrying in such population chronically colonized and receiving many an [...]
+
+
+{REVIEWERS}
+
+This article was reviewed by Eric Bapteste, Pierre Pontarotti, and Igor Zhulin. For the full reviews, please go to the Reviewers' comments section.},
+	urldate = {2012-03-11},
+	journal = {Biology Direct},
+	author = {Rolain, Jean-Marc and François, Patrice and Hernandez, David and Bittar, Fadi and Richet, Hervé and Fournous, Ghislain and Mattenberger, Yves and Bosdure, Emmanuelle and Stremler, Nathalie and Dubus, Jean-Christophe and Sarles, Jacques and Reynaud-Gaubert, Martine and Boniface, Stephanie and Schrenzel, Jacques and Raoult, Didier},
+	year = {2009},
+	note = {{PMID:} 19144117},
+	keywords = {Anti-Bacterial Agents, Bacteriophages, Base Sequence, Cell Proliferation, Cell Wall, Cystic Fibrosis, {DNA}, Bacterial, Drug Resistance, Multiple, Bacterial, France, Gene Expression Profiling, Genes, Bacterial, Genome, Bacterial, Humans, Methicillin Resistance, Minisatellite Repeats, Molecular Sequence Data, Phenotype, Phylogeny, Staphylococcus aureus, Transcription, Genetic},
+	pages = {1}
+},
+
+ at article{sass_genome_2012,
+	title = {Genome Sequence of Staphylococcus aureus {VC40}, a Vancomycin- and Daptomycin-Resistant Strain, To Study the Genetics of Development of Resistance to Currently Applied Last-Resort Antibiotics},
+	volume = {194},
+	issn = {0021-9193, 1098-5530},
+	url = {http://jb.asm.org/content/194/8/2107},
+	doi = {10.1128/JB.06631-11},
+	abstract = {The increasing emergence of multidrug-resistant Staphylococcus aureus is a problem of global importance. Here, we report the genome of S. aureus {VC40}, which is resistant to the last-resort antibiotics vancomycin and daptomycin. Its genome sequence will allow insights into the mechanisms that convey full resistance to these compounds.},
+	language = {en},
+	number = {8},
+	urldate = {2014-02-21},
+	journal = {Journal of Bacteriology},
+	author = {Sass, Peter and Berscheid, Anne and Jansen, Andrea and Oedenkoven, Marion and Szekat, Christiane and Strittmatter, Axel and Gottschalk, Gerhard and Bierbaum, Gabriele},
+	month = apr,
+	year = {2012},
+	note = {{PMID:} 22461548},
+	pages = {2107--2108},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\UTI28IVI\Sass et al. - 2012 - Genome Sequence of Staphylococcus aureus VC40, a V.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\CZFGCDAK\2107.html:text/html}
+},
+
+ at article{baba_genome_2008,
+	title = {Genome Sequence of Staphylococcus aureus Strain Newman and Comparative Analysis of Staphylococcal Genomes: Polymorphism and Evolution of Two Major Pathogenicity Islands},
+	volume = {190},
+	issn = {0021-9193, 1098-5530},
+	shorttitle = {Genome Sequence of Staphylococcus aureus Strain Newman and Comparative Analysis of Staphylococcal Genomes},
+	url = {http://jb.asm.org/content/190/1/300},
+	doi = {10.1128/JB.01000-07},
+	abstract = {Strains of Staphylococcus aureus, an important human pathogen, display up to 20\% variability in their genome sequence, and most sequence information is available for human clinical isolates that have not been subjected to genetic analysis of virulence attributes. S. aureus strain Newman, which was also isolated from a human infection, displays robust virulence properties in animal models of disease and has already been extensively analyzed for its molecular traits of staphy [...]
+	language = {en},
+	number = {1},
+	urldate = {2012-03-13},
+	journal = {Journal of Bacteriology},
+	author = {Baba, Tadashi and Bae, Taeok and Schneewind, Olaf and Takeuchi, Fumihiko and Hiramatsu, Keiichi},
+	month = jan,
+	year = {2008},
+	keywords = {Newman},
+	pages = {300--310},
+	file = {Baba et al. - 2008 - Genome Sequence of Staphylococcus aureus Strain Ne.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\FM9MN37W\Baba et al. - 2008 - Genome Sequence of Staphylococcus aureus Strain Ne.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\56TJER9X\300.html:text/html}
+},
+
+ at article{stegger_genome_2013,
+	title = {Genome Sequence of Staphylococcus aureus Strain {CA-347}, a {USA600} Methicillin-Resistant Isolate},
+	volume = {1},
+	issn = {2169-8287},
+	doi = {10.1128/genomeA.00517-13},
+	abstract = {The Staphylococcus aureus clonal lineage {CC45} is a predominant colonizer of healthy individuals in northern Europe and constitutes a highly basal cluster of the S. aureus population. Here, we report the complete genome sequence of S. aureus strain {CA-347} ({NRS648)}, a representative of the methicillin-resistant {USA600} clone predominantly found in the United States.},
+	language = {eng},
+	number = {4},
+	journal = {Genome announcements},
+	author = {Stegger, Marc and Driebe, Elizabeth M and Roe, Chandler and Lemmer, Darrin and Bowers, Jolene R and Engelthaler, David M and Keim, Paul and Andersen, Paal S},
+	year = {2013},
+	note = {{PMID:} 23887918 
+{PMCID:} {PMC3735070}}
+},
+
+ at article{stegger_genome_2012,
+	title = {Genome Sequence of Staphylococcus aureus Strain 11819-97, an {ST80-IV} European Community-Acquired Methicillin-Resistant Isolate},
+	volume = {194},
+	issn = {0021-9193, 1098-5530},
+	url = {http://jb.asm.org/content/194/6/1625},
+	doi = {10.1128/JB.06653-11},
+	language = {en},
+	number = {6},
+	urldate = {2012-03-13},
+	journal = {Journal of Bacteriology},
+	author = {Stegger, Marc and Price, Lance B and Larsen, Anders R and Gillece, John D and Waters, Andrew E and Skov, Robert and Andersen, Paal S},
+	month = mar,
+	year = {2012},
+	pages = {1625--1626},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\8DTXGP46\Stegger et al. - 2012 - Genome Sequence of Staphylococcus aureus Strain 11.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\MISKFPGK\1625.full.html:text/html}
+},
+
+ at article{holden_genome_2010,
+	title = {Genome Sequence of a Recently Emerged, Highly Transmissible, Multi-Antibiotic- and Antiseptic-Resistant Variant of Methicillin-Resistant Staphylococcus aureus, Sequence Type 239 ({TW)}},
+	volume = {192},
+	issn = {0021-9193},
+	url = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2812470/},
+	doi = {10.1128/JB.01255-09},
+	abstract = {The 3.1-Mb genome of an outbreak methicillin-resistant Staphylococcus aureus ({MRSA)} strain ({TW20)} contains evidence of recently acquired {DNA}, including two large regions (635 kb and 127 kb). The strain is resistant to a wide range of antibiotics, antiseptics, and heavy metals due to resistance genes encoded on mobile genetic elements and also mutations in housekeeping genes.},
+	number = {3},
+	urldate = {2014-02-21},
+	journal = {Journal of Bacteriology},
+	author = {Holden, Matthew T. G. and Lindsay, Jodi A. and Corton, Craig and Quail, Michael A. and Cockfield, Joshua D. and Pathak, Smriti and Batra, Rahul and Parkhill, Julian and Bentley, Stephen D. and Edgeworth, Jonathan D.},
+	month = feb,
+	year = {2010},
+	note = {{PMID:} 19948800
+{PMCID:} {PMC2812470}},
+	pages = {888--892},
+	file = {PubMed Central Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\WG6GATTP\Holden et al. - 2010 - Genome Sequence of a Recently Emerged, Highly Tran.pdf:application/pdf}
+},
+
+ at article{friedman_genetic_2006,
+	title = {Genetic Changes That Correlate with Reduced Susceptibility to Daptomycin in Staphylococcus aureus},
+	volume = {50},
+	issn = {0066-4804},
+	doi = {10.1128/AAC.00039-06},
+	abstract = {Daptomycin is a lipopeptide antibiotic with potent activity against gram-positive bacteria. Complete-genome comparisons of laboratory-derived Staphylococcus aureus with decreased susceptibility to daptomycin and their susceptible parent were used to identify genes that contribute to reduced susceptibility to daptomycin. Selective pressure of growth in sublethal concentrations of daptomycin resulted in the accumulation of mutations over time correlating with incremental decre [...]
+	number = {6},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Friedman, Lisa and Alder, Jeff D. and Silverman, Jared A.},
+	month = jun,
+	year = {2006},
+	note = {{PMID:} 16723576
+{PMCID:} 1479123},
+	pages = {2137--2145},
+	file = {Friedman et al. - 2006 - Genetic Changes That Correlate with Reduced Suscep.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\FSXBZARR\Friedman et al. - 2006 - Genetic Changes That Correlate with Reduced Suscep.pdf:application/pdf}
+},
+
+ at article{storrs_genetic_1988,
+	title = {Genetic analysis of gentamicin resistance in methicillin- and gentamicin-resistant strains of Staphylococcus aureus isolated in Dublin hospitals.},
+	volume = {32},
+	issn = {0066-4804},
+	abstract = {Methicillin- and gentamicin-resistant strains of Staphylococcus aureus isolated in Dublin hospitals have been classified into groups I, {II}, and {III} based on resistance to antimicrobial agents and plasmid profiles. Each group expresses a characteristic level of resistance to gentamicin, tobramycin, and sisomicin. Enzyme assays showed that resistant strains expressed 2"-aminoglycoside phosphotransferase-6'-aminoglycoside transferase activity by a determinant which is known [...]
+	number = {8},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Storrs, M J and Courvalin, P and Foster, T J},
+	month = aug,
+	year = {1988},
+	note = {{PMID:} 2847646
+{PMCID:} 172372},
+	pages = {1174--1181},
+	file = {PubMed Central Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\IW75RDJB\Storrs et al. - 1988 - Genetic analysis of gentamicin resistance in methi.pdf:application/pdf}
+},
+
+ at article{sieradzki_evolution_2003,
+	title = {Evolution of a Vancomycin-Intermediate Staphylococcus aureus Strain In Vivo: Multiple Changes in the Antibiotic Resistance Phenotypes of a Single Lineage of Methicillin-Resistant S. aureus under the Impact of Antibiotics Administered for Chemotherapy},
+	volume = {41},
+	issn = {0095-1137},
+	shorttitle = {Evolution of a Vancomycin-Intermediate Staphylococcus aureus Strain In Vivo},
+	doi = {10.1128/JCM.41.4.1687-1693.2003},
+	abstract = {A number of methicillin-resistant Staphylococcus aureus ({MRSA)} isolates were recovered over a period of several weeks from blood samples and from the heart valve of a patient who underwent extensive vancomycin chemotherapy for persistent S. aureus bacteremia. Consecutive isolates showed gradually decreasing growth rates during in vitro cultivation and increasing vancomycin {MICs}, from an {MIC} of 1 μg/ml for the initial isolate to an {MIC} of 8 μg/ml for the final {MRSA}  [...]
+	number = {4},
+	journal = {Journal of Clinical Microbiology},
+	author = {Sieradzki, K. and Leski, T. and Dick, J. and Borio, L. and Tomasz, A.},
+	month = apr,
+	year = {2003},
+	note = {{PMID:} 12682161
+{PMCID:} 153915},
+	keywords = {{JH1}, {JH9}},
+	pages = {1687--1693},
+	file = {PubMed Central Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\V4BQJB6Q\Sieradzki et al. - 2003 - Evolution of a Vancomycin-Intermediate Staphylococ.pdf:application/pdf}
+},
+
+ at article{hershberger_evaluation_1999,
+	title = {Evaluation of Bactericidal Activities of {LY333328}, Vancomycin, Teicoplanin, Ampicillin-Sulbactam, Trovafloxacin, and {RP59500} Alone or in Combination with Rifampin or Gentamicin against Different Strains of Vancomycin-Intermediate Staphylococcus aureus by Time-Kill Curve Methods},
+	volume = {43},
+	issn = {0066-4804, 1098-6596},
+	url = {http://aac.asm.org/content/43/3/717},
+	abstract = {This in vitro study evaluated the activities of vancomycin, {LY333328}, and teicoplanin alone and in combination with gentamicin, rifampin, and {RP59500} against Staphylococcus aureusisolates with intermediate susceptibilities to vancomycin. Ampicillin-sulbactam and trovafloxacin were also evaluated. {LY333328} and ampicillin-sulbactam resulted in bactericidal activity against all isolates. The combination of gentamicin with glycopeptides showed synergistic activity, while r [...]
+	language = {en},
+	number = {3},
+	urldate = {2012-03-13},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Hershberger, Ellie and Aeschlimann, Jeffrey R and Moldovan, Tabitha and Rybak, Michael J},
+	month = mar,
+	year = {1999},
+	pages = {717--721},
+	file = {Hershberger et al. - 1999 - Evaluation of Bactericidal Activities of LY333328,.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\XG5F7R7D\Hershberger et al. - 1999 - Evaluation of Bactericidal Activities of LY333328,.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\6FNC26BD\717.html:text/html}
+},
+
+ at article{ekkelenkamp_endocarditis_2006,
+	title = {Endocarditis due to meticillin-resistant Staphylococcus aureus originating from pigs},
+	volume = {150},
+	issn = {0028-2162},
+	url = {http://www.ncbi.nlm.nih.gov/pubmed/17131705},
+	abstract = {A 63-year-old woman with a kidney transplant was admitted with endocarditis caused by meticillin-resistant Staphylococcus aureus ({MRSA).} Once her antibiotic therapy had been adjusted to the sensitivity-pattern of the bacterial strain she recovered, without the need for surgical intervention. The isolated S. aureus was typed by multi-locus sequence typing as sequence type 398, a {MRSA-strain} that has recently been isolated from a high percentage of Dutch pigs. This is the  [...]
+	number = {44},
+	urldate = {2012-03-13},
+	journal = {Nederlands Tijdschrift Voor Geneeskunde},
+	author = {Ekkelenkamp, M B and Sekkat, M and Carpaij, N and Troelstra, A and Bonten, M J M},
+	month = nov,
+	year = {2006},
+	note = {{PMID:} 17131705},
+	keywords = {Animals, Endocarditis, Bacterial, Female, Humans, Methicillin Resistance, Middle Aged, {ST398}, Staphylococcal Infections, Staphylococcus aureus, Swine, Swine Diseases, Zoonoses},
+	pages = {2442--2447}
+},
+
+ at article{neoh_draft_2013,
+	title = {Draft Genome Sequences of Four Nosocomial Methicillin-Resistant Staphylococcus aureus ({MRSA)} Strains ({PPUKM-261-2009}, {PPUKM-332-2009}, {PPUKM-377-2009}, and {PPUKM-775-2009)} Representative of Dominant {MRSA} Pulsotypes Circulating in a Malaysian University Teaching Hospital},
+	volume = {1},
+	issn = {, 2169-8287},
+	url = {http://genomea.asm.org/content/1/1/e00103-12},
+	doi = {10.1128/genomeA.00103-12},
+	abstract = {Here, we report the draft genome sequences of four nosocomial methicillin-resistant Staphylococcus aureus strains ({PPUKM-261-2009}, {PPUKM-332-2009}, {PPUKM-377-2009}, and {PPUKM-775-2009)} isolated from a university teaching hospital in Malaysia. Three of the strains belong to sequence type 239 ({ST239)}, which has been associated with sustained hospital epidemics worldwide.},
+	language = {en},
+	number = {1},
+	urldate = {2014-02-21},
+	journal = {Genome Announcements},
+	author = {Neoh, Hui-Min and Mohamed-Hussein, Zeti-Azura and Tan, Xin-Ee and Rahman, Raja Mohd Fadhil B. Raja Abd and Hussin, Salasawati and Zin, Noraziah Mohamad and Jamal, Rahman},
+	month = feb,
+	year = {2013},
+	note = {{PMID:} 23405328},
+	pages = {e00103--12},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\M9J8UCMS\Neoh et al. - 2013 - Draft Genome Sequences of Four Nosocomial Methicil.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\CTMK6HFZ\e00103-12.html:text/html}
+},
+
+ at article{harro_draft_2013,
+	title = {Draft Genome Sequence of the Methicillin-Resistant Staphylococcus aureus Isolate {MRSA-M2}},
+	volume = {1},
+	issn = {2169-8287},
+	doi = {10.1128/genomeA.00037-12},
+	abstract = {We report the draft genome sequence of a methicillin-resistant strain of Staphylococcus aureus, designated {MRSA-M2.} This clinical isolate was obtained from an osteomyelitis patient undergoing treatment at the University of Texas Medical Branch (Galveston, {TX).} This strain is an {ST30}, spa type T019, agr {III} strain and has been utilized as a model S. aureus strain in a number of proteomic, transcriptomic, and animal model studies.},
+	language = {eng},
+	number = {1},
+	journal = {Genome announcements},
+	author = {Harro, Janette M and Daugherty, Sean and Bruno, Vincent M and Jabra-Rizk, Mary Ann and Rasko, David A and Shirtliff, Mark E},
+	month = jan,
+	year = {2013},
+	note = {{PMID:} 23405318 
+{PMCID:} {PMC3569307}}
+},
+
+ at article{carroll_draft_2013,
+	title = {Draft Genome Sequence of Strain {CBD-635}, a Methicillin-Resistant Staphylococcus aureus {USA100} Isolate},
+	volume = {1},
+	issn = {, 2169-8287},
+	url = {http://genomea.asm.org/content/1/4/e00491-13},
+	doi = {10.1128/genomeA.00491-13},
+	abstract = {We present the draft genome sequence of methicillin-resistant Staphylococcus aureus strain {CBD-635}, from the {USA100} lineage. This is a sepsis isolate obtained from Tampa General Hospital. This strain is spa type t003 and multilocus sequence typing ({MLST)} type {ST5}, and it has been used by our group in the study of novel antimicrobial chemotherapeutics.},
+	language = {en},
+	number = {4},
+	urldate = {2014-02-21},
+	journal = {Genome Announcements},
+	author = {Carroll, Ronan K. and Burda, Whittney N. and Roberts, Jill C. and Peak, Kealy K. and Cannons, Andrew C. and Shaw, Lindsey N.},
+	month = aug,
+	year = {2013},
+	note = {{PMID:} 23846279},
+	pages = {e00491--13},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\MNRK9TE4\Carroll et al. - 2013 - Draft Genome Sequence of Strain CBD-635, a Methici.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\J43PV5HI\e00491-13.html:text/html}
+},
+
+ at article{khedkar_draft_2012,
+	title = {Draft Genome Sequence of Staphylococcus aureus {ST672}, an Emerging Disease Clone from India},
+	volume = {194},
+	issn = {0021-9193},
+	url = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3510593/},
+	doi = {10.1128/JB.01868-12},
+	abstract = {We report the draft genome sequence of methicillin-resistant Staphylococcus aureus ({MRSA)} strain {ST672}, an emerging disease clone in India, from a septicemia patient. The genome size is about 2.82 Mb with 2,485 open reading frames ({ORFs).} The staphylococcal cassette chromosome mec ({SCCmec)} element (type V) and immune evasion cluster appear to be different from those of strain {ST772} on preliminary examination.},
+	number = {24},
+	urldate = {2014-02-21},
+	journal = {Journal of Bacteriology},
+	author = {Khedkar, Supriya and Prabhakara, Sushma and Loganathan, Ramya Malarini and S, Chandana and Gowda, Malali and Arakere, Gayathri and Seshasayee, Aswin Sai Narain},
+	month = dec,
+	year = {2012},
+	note = {{PMID:} 23209210
+{PMCID:} {PMC3510593}},
+	pages = {6946--6947},
+	file = {PubMed Central Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\8K9NWQCU\Khedkar et al. - 2012 - Draft Genome Sequence of Staphylococcus aureus ST6.pdf:application/pdf}
+},
+
+ at article{mcdonald_draft_2013,
+	title = {Draft Genome Sequence of Methicillin-Susceptible Staphylococcus aureus Strain {06BA18369}, a Pathogen Associated with Skin and Soft Tissue Infections in Northern Saskatchewan, Canada},
+	volume = {1},
+	issn = {, 2169-8287},
+	url = {http://genomea.asm.org/content/1/3/e00389-13},
+	doi = {10.1128/genomeA.00389-13},
+	abstract = {Here, we announce the draft sequence of a representative methicillin-susceptible Staphylococcus aureus ({MSSA)} isolate ({06BA18369)} whose strain type (spa type t311) was commonly isolated from skin and soft tissue coinfections with Streptococcus pyogenes. This strain sequence provides insight into a highly successful community-associated {MSSA} strain type.},
+	language = {en},
+	number = {3},
+	urldate = {2014-02-21},
+	journal = {Genome Announcements},
+	author = {{McDonald}, Ryan R. and Golding, George R. and Irvine, James and Graham, Morag R. and Tyler, Shaun and Mulvey, Michael R. and Levett, Paul N.},
+	month = jun,
+	year = {2013},
+	note = {{PMID:} 23814031},
+	pages = {e00389--13},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\G5F5ZXSE\McDonald et al. - 2013 - Draft Genome Sequence of Methicillin-Susceptible S.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\SJFHW3A7\e00389-13.html:text/html}
+},
+
+ at article{dabul_draft_2013,
+	title = {Draft Genome Sequence of Methicillin-Resistant Staphylococcus aureus Strain {SA16}, Representative of an Endemic Clone from a Brazilian Hospital},
+	volume = {1},
+	issn = {, 2169-8287},
+	url = {http://genomea.asm.org/content/1/5/e00754-13},
+	doi = {10.1128/genomeA.00754-13},
+	abstract = {Here we report the draft genome sequence of a bloodstream isolate of methicillin-resistant Staphylococcus aureus strain {SA16.} Strain {SA16} is a sequence type 5 ({ST5)-staphylococcal} cassette chromosome mec type {II} ({SCCmec} {II)} clone and was the most prevalent isolate at a Brazilian hospital during the second half of 2009.},
+	language = {en},
+	number = {5},
+	urldate = {2014-02-21},
+	journal = {Genome Announcements},
+	author = {Dabul, Andrei Nicoli G. and Kos, Veronica N. and Gilmore, Michael S. and Camargo, Ilana L. B. C.},
+	month = oct,
+	year = {2013},
+	note = {{PMID:} 24051324},
+	pages = {e00754--13},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\NQ6M33BH\Dabul et al. - 2013 - Draft Genome Sequence of Methicillin-Resistant Sta.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\33WGH3GR\e00754-13.html:text/html}
+},
+
+ at article{pucci_direct_2002,
+	title = {Direct Quantitation of the Numbers of Individual Penicillin-Binding Proteins Per Cell in Staphylococcus Aureus},
+	volume = {184},
+	issn = {0021-9193, 1098-5530},
+	url = {http://jb.asm.org/content/184/2/588},
+	doi = {10.1128/JB.184.2.588-591.2002},
+	abstract = {The penicillin-binding proteins ({PBPs)} are a set of enzymes that participate in bacterial peptidoglycan assembly. The absolute numbers of each {PBP} were determined by direct measurement and have been reported for two Staphylococcus aureus strains, {RN4220} (methicillin-sensitive S. aureus) and {RN450M} (methicillin-resistant S. aureus). From the specific activity of the labeled penicillin and the absolute number of disintegrations per minute, and from the number of {CFU}  [...]
+	language = {en},
+	number = {2},
+	urldate = {2012-03-24},
+	journal = {Journal of Bacteriology},
+	author = {Pucci, Michael J and Dougherty, Thomas J},
+	month = jan,
+	year = {2002},
+	pages = {588--591},
+	file = {Pucci i Dougherty - 2002 - Direct Quantitation of the Numbers of Individual P.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\77ZS4R85\Pucci i Dougherty - 2002 - Direct Quantitation of the Numbers of Individual P.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\8J5PX3Q9\Pucci i Dougherty - 2002 - Direct Quantitation of the Numbers of Individual P.html:text/html}
+},
+
+ at article{daurel_differences_2008,
+	title = {Differences in Potential for Selection of Clindamycin-Resistant Mutants Between Inducible erm(A) and erm(C) Staphylococcus Aureus Genes},
+	volume = {46},
+	issn = {0095-1137, 1098-{660X}},
+	url = {http://jcm.asm.org/content/46/2/546},
+	doi = {10.1128/JCM.01925-07},
+	language = {en},
+	number = {2},
+	urldate = {2012-03-24},
+	journal = {Journal of Clinical Microbiology},
+	author = {Daurel, Claire and Huet, Corinne and Dhalluin, Anne and Bes, Michèle and Etienne, Jerome and Leclercq, Roland},
+	month = feb,
+	year = {2008},
+	pages = {546--550},
+	file = {Daurel et al. - 2008 - Differences in Potential for Selection of Clindamy.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\QHDFICZB\Daurel et al. - 2008 - Differences in Potential for Selection of Clindamy.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\KSB4WMWX\Daurel et al. - 2008 - Differences in Potential for Selection of Clindamy.html:text/html}
+},
+
+ at article{pillai_development_2009,
+	title = {Development of Reduced Vancomycin Susceptibility in Methicillin-Susceptible Staphylococcus Aureus},
+	volume = {49},
+	issn = {1058-4838, 1537-6591},
+	url = {http://cid.oxfordjournals.org/content/49/8/1169},
+	doi = {10.1086/605636},
+	abstract = {Background. Most cases of reduced vancomycin susceptibility in Staphylococcus aureus reported in the literature have been in methicillin-resistant strains. We report the development of reduced vancomycin susceptibility in a series of clonally related, methicillin-susceptible S. aureus ({MSSA)} clinical isolates. This isogenic series permitted us to determine whether the evolution of reduced vancomycin susceptibility in {MSSA} is similar to that seen in {MRSA.}
+Methods. Differences in vancomycin population analysis profiles; chemical autolysis; vancomycin, oxacillin, and daptomycin minimum inhibitory concentrations; and bactericidal activities were examined.
+Results. Progressive vancomycin resistance correlated with increasing daptomycin nonsusceptibility. Chemical autolysis and the bactericidal activity of vancomycin, oxacillin, and daptomycin were reduced in the final, vancomycin-intermediate S. aureus isolate, compared with the vancomycin-susceptible {MSSA} progenitor.
+Conclusions. Clinicians should recognize that reduced vancomycin susceptibility can occur in S. aureus irrespective of background methicillin susceptibility and that development of intermediate vancomycin susceptibility in {MSSA} may result in increased tolerance to several classes of anti-staphylococcal antibiotics.},
+	language = {en},
+	number = {8},
+	urldate = {2012-03-25},
+	journal = {Clinical Infectious Diseases},
+	author = {Pillai, Satish K and Wennersten, Christine and Venkataraman, Lata and Eliopoulos, George M and Moellering, Robert C and Karchmer, Adolf W},
+	month = oct,
+	year = {2009},
+	pages = {1169--1174},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\FVA748SJ\Pillai et al. - 2009 - Development of Reduced Vancomycin Susceptibility i.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\VXP939V7\Pillai et al. - 2009 - Development of Reduced Vancomycin Susceptibility i.html:text/html}
+},
+
+ at article{lindqvist_detection_2011,
+	title = {Detection and characterisation of {SCCmec;} remnants in multiresistant methicillin–susceptible {\textbackslash}{textitStaphylococcus} aureus; causing a clonal outbreak in a Swedish county},
+	journal = {European Journal of Clinical Microbiology and Infectious Diseases},
+	author = {Lindqvist, M. and Isaksson, B. and Grub, C. and Jonassen, T. and Hällgren, A.},
+	month = may,
+	year = {2011},
+	pages = {1–7}
+},
+
+ at article{cui_contribution_2009,
+	title = {Contribution of {vraSR} and {graSR} Point Mutations to Vancomycin Resistance in Vancomycin-Intermediate Staphylococcus aureus},
+	volume = {53},
+	issn = {0066-4804, 1098-6596},
+	url = {http://aac.asm.org/content/53/3/1231},
+	doi = {10.1128/AAC.01173-08},
+	language = {en},
+	number = {3},
+	urldate = {2012-03-09},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Cui, Longzhu and Neoh, Hui-min and Shoji, Mitsutaka and Hiramatsu, Keiichi},
+	month = mar,
+	year = {2009},
+	pages = {1231--1234},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\7KSX88ZR\Cui et al. - 2009 - Contribution of vraSR and graSR Point Mutations to.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\G9FHPCWN\1231.full.html:text/html}
+},
+
+ at article{kennedy_complete_2010,
+	title = {Complete Nucleotide Sequence Analysis of Plasmids in Strains of Staphylococcus aureus Clone {USA300} Reveals a High Level of Identity among Isolates with Closely Related Core Genome Sequences},
+	volume = {48},
+	issn = {0095-1137, 1098-{660X}},
+	url = {http://jcm.asm.org/content/48/12/4504},
+	doi = {10.1128/JCM.01050-10},
+	language = {en},
+	number = {12},
+	urldate = {2012-03-13},
+	journal = {Journal of Clinical Microbiology},
+	author = {Kennedy, Adam D and Porcella, Stephen F and Martens, Craig and Whitney, Adeline R and Braughton, Kevin R and Chen, Liang and Craig, Carly T and Tenover, Fred C and Kreiswirth, Barry N and Musser, James M and {DeLeo}, Frank R},
+	month = dec,
+	year = {2010},
+	keywords = {{USA300}},
+	pages = {4504--4511},
+	file = {Kennedy et al. - 2010 - Complete Nucleotide Sequence Analysis of Plasmids .pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\K2W2PSXS\Kennedy et al. - 2010 - Complete Nucleotide Sequence Analysis of Plasmids .pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\7ZAUEU4S\4504.full.html:text/html}
+},
+
+ at article{holden_complete_2004,
+	title = {Complete genomes of two clinical Staphylococcus aureus strains: Evidence for the rapid evolution of virulence and drug resistance},
+	volume = {101},
+	issn = {0027-8424, 1091-6490},
+	shorttitle = {Complete genomes of two clinical Staphylococcus aureus strains},
+	url = {http://www.pnas.org/content/101/26/9786},
+	doi = {10.1073/pnas.0402521101},
+	language = {en},
+	number = {26},
+	urldate = {2012-03-13},
+	journal = {Proceedings of the National Academy of Sciences of the United States of America},
+	author = {Holden, Matthew T. G and Feil, Edward J and Lindsay, Jodi A and Peacock, Sharon J and Day, Nicholas P. J and Enright, Mark C and Foster, Tim J and Moore, Catrin E and Hurst, Laurence and Atkin, Rebecca and Barron, Andrew and Bason, Nathalie and Bentley, Stephen D and Chillingworth, Carol and Chillingworth, Tracey and Churcher, Carol and Clark, Louise and Corton, Craig and Cronin, Ann and Doggett, Jon and Dowd, Linda and Feltwell, Theresa and Hance, Zahra and Harris, Barbara an [...]
+	month = jun,
+	year = {2004},
+	keywords = {{MRSA252}, {MSSA476}},
+	pages = {9786--9791},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\HGEXK27S\Holden et al. - 2004 - Complete genomes of two clinical Staphylococcus au.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\IAUJ2MQN\9786.full.html:text/html}
+},
+
+ at article{diep_complete_2006,
+	title = {Complete genome sequence of {USA300}, an epidemic clone of community-acquired meticillin-resistant Staphylococcus aureus},
+	volume = {367},
+	issn = {0140-6736},
+	url = {http://www.sciencedirect.com/science/article/pii/S0140673606682317},
+	doi = {10.1016/S0140-6736(06)68231-7},
+	abstract = {{SummaryBackground}
+{USA300}, a clone of meticillin-resistant Staphylococcus aureus, is a major source of community-acquired infections in the {USA}, Canada, and Europe. Our aim was to sequence its genome and compare it with those of other strains of S aureus to try to identify genes responsible for its distinctive epidemiological and virulence properties.
+Methods
+We ascertained the genome sequence of {FPR3757}, a multidrug resistant {USA300} strain, by random shotgun sequencing, then compared it with the sequences of ten other staphylococcal strains.
+Findings
+Compared with closely related S aureus, we noted that almost all of the unique genes in {USA300} clustered in novel allotypes of mobile genetic elements. Some of the unique genes are involved in pathogenesis, including Panton-Valentine leucocidin and molecular variants of enterotoxin Q and K. The most striking feature of the {USA300} genome is the horizontal acquisition of a novel mobile genetic element that encodes an arginine deiminase pathway and an oligopeptide permease system that c [...]
+Interpretation
+{USA300} has acquired mobile genetic elements that encode resistance and virulence determinants that could enhance fitness and pathogenicity.},
+	number = {9512},
+	urldate = {2012-03-13},
+	journal = {The Lancet},
+	author = {Diep, Binh An and Gill, Steven R and Chang, Richard F and Phan, Tiffany {HaiVan} and Chen, Jason H and Davidson, Matthew G and Lin, Felice and Lin, Jessica and Carleton, Heather A and Mongodin, Emmanuel F and Sensabaugh, George F and Perdreau-Remington, Françoise},
+	month = mar,
+	year = {2006},
+	keywords = {{USA300}},
+	pages = {731--739},
+	file = {Diep et al. - 2006 - Complete genome sequence of USA300, an epidemic cl.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\UGDVUBFD\Diep et al. - 2006 - Complete genome sequence of USA300, an epidemic cl.pdf:application/pdf;ScienceDirect Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\V867JCRT\Diep et al. - 2006 - Complete genome sequence of USA300, an epidemic cl:}
+},
+
+ at article{chen_complete_2013,
+	title = {Complete Genome Sequence of Staphylococcus aureus Z172, a Vancomycin-Intermediate and Daptomycin-Nonsusceptible Methicillin-Resistant Strain Isolated in Taiwan},
+	volume = {1},
+	issn = {2169-8287},
+	doi = {10.1128/genomeA.01011-13},
+	abstract = {We report the complete genome sequence of Z172, a representative strain of sequence type 239-staphylococcal cassette chromosome mec type {III} ({ST239-SCCmec} type {III)} hospital-associated methicillin-resistant Staphylococcus aureus in Taiwan. Strain Z172 also exhibits a vancomycin-intermediate and daptomycin-nonsusceptible phenotype.},
+	language = {eng},
+	number = {6},
+	journal = {Genome announcements},
+	author = {Chen, Feng-Jui and Lauderdale, Tsai-Ling and Wang, Lih-Shinn and Huang, I-Wen},
+	year = {2013},
+	note = {{PMID:} 24309740 
+{PMCID:} {PMC3853063}}
+},
+
+ at article{li_complete_2011,
+	title = {Complete Genome Sequence of Staphylococcus aureus T0131, an {ST239-MRSA-SCCmec} Type {III} Clone Isolated in China},
+	volume = {193},
+	issn = {0021-9193, 1098-5530},
+	url = {http://jb.asm.org/content/193/13/3411},
+	doi = {10.1128/JB.05135-11},
+	number = {13},
+	urldate = {2012-02-24},
+	journal = {Journal of Bacteriology},
+	author = {Li, Yang and Cao, Boyang and Zhang, Yongfu and Zhou, Jiali and Yang, Bin and Wang, Lei},
+	month = jul,
+	year = {2011},
+	keywords = {Methicillin, T0131},
+	pages = {3411--3412},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\MIPWHTFE\Li et al. - 2011 - Complete Genome Sequence of Staphylococcus aureus .pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\VCG5IM5I\3411.full.html:text/html}
+},
+
+ at article{larner-svensson_complete_2013,
+	title = {Complete Genome Sequence of Staphylococcus aureus Strain M1, a Unique t024-{ST8-IVa} Danish Methicillin-Resistant S. aureus Clone},
+	volume = {1},
+	issn = {, 2169-8287},
+	url = {http://genomea.asm.org/content/1/3/e00336-13},
+	doi = {10.1128/genomeA.00336-13},
+	abstract = {We report the genome sequence, in five contigs, of a methicillin-resistant Staphylococcus aureus isolate designated M1. This clinical isolate was from the index patient of a methicillin-resistant Staphylococcus aureus ({MRSA)} outbreak in Copenhagen, Denmark, that started in 2003. This strain is sequence type 8 ({ST8)}, spa type t024, and staphylococcal cassette chromosome mec element ({SCCmec)} type {IVa.}},
+	language = {en},
+	number = {3},
+	urldate = {2014-02-21},
+	journal = {Genome Announcements},
+	author = {Larner-Svensson, Hanna and Worning, Peder and Bartels, Mette D. and Hansen, Lars Hestbjerg and Boye, Kit and Westh, Henrik},
+	month = jun,
+	year = {2013},
+	note = {{PMID:} 23792746},
+	pages = {e00336--13},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\QGD2BC5N\Larner-Svensson et al. - 2013 - Complete Genome Sequence of Staphylococcus aureus .pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\BVAMS3N5\e00336-13.html:text/html}
+},
+
+ at article{chua_complete_2010,
+	title = {Complete Genome Sequence of Staphylococcus aureus Strain {JKD6159}, a Unique Australian Clone of {ST93-IV} Community Methicillin-Resistant Staphylococcus aureus},
+	volume = {192},
+	issn = {0021-9193, 1098-5530},
+	url = {http://jb.asm.org/content/192/20/5556},
+	doi = {10.1128/JB.00878-10},
+	abstract = {Community methicillin-resistant Staphylococcus aureus ({cMRSA)} is an emerging issue that has resulted in multiple worldwide epidemics. We report the first complete genome sequence of an {ST93-MRSA-IV} clinical isolate that caused severe invasive infection and a familial outbreak of skin infection. This isolate is a representative of the most common Australian clone of {cMRSA} that is more distantly related to the previously sequenced genomes of S. aureus.},
+	language = {en},
+	number = {20},
+	urldate = {2012-03-13},
+	journal = {Journal of Bacteriology},
+	author = {Chua, Kyra and Seemann, Torsten and Harrison, Paul F and Davies, John K and Coutts, Scott J and Chen, Honglei and Haring, Volker and Moore, Robert and Howden, Benjamin P and Stinear, Timothy P},
+	month = oct,
+	year = {2010},
+	pages = {5556--5557},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\7IJ2ET94\Chua et al. - 2010 - Complete Genome Sequence of Staphylococcus aureus .pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\RSHCXGCX\5556.html:text/html}
+},
+
+ at article{howden_complete_2010,
+	title = {Complete Genome Sequence of Staphylococcus aureus Strain {JKD6008}, an {ST239} Clone of Methicillin-Resistant Staphylococcus aureus with Intermediate-Level Vancomycin Resistance},
+	volume = {192},
+	issn = {0021-9193, 1098-5530},
+	url = {http://jb.asm.org/content/192/21/5848},
+	doi = {10.1128/JB.00951-10},
+	abstract = {We report here the complete 2.92-Mb genome sequence of a clinical isolate of methicillin-resistant Staphylococcus aureus subsp. aureus that demonstrates intermediate-level vancomycin resistance. The strain, named {JKD6008}, belongs to multilocus sequence type 239 and was isolated from the bloodstream of a patient in New Zealand in 2003.},
+	language = {en},
+	number = {21},
+	urldate = {2012-03-13},
+	journal = {Journal of Bacteriology},
+	author = {Howden, Benjamin P and Seemann, Torsten and Harrison, Paul F and {McEvoy}, Chris R and Stanton, Jo-Ann L and Rand, Christy J and Mason, Chris W and Jensen, Slade O and Firth, Neville and Davies, John K and Johnson, Paul D. R and Stinear, Timothy P},
+	month = nov,
+	year = {2010},
+	keywords = {{JKD6008}},
+	pages = {5848--5849},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\P8G9QHDM\Howden et al. - 2010 - Complete Genome Sequence of Staphylococcus aureus .pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\2GRXTMJ9\Howden et al. - 2010 - Complete Genome Sequence of Staphylococcus aureus .abstract:}
+},
+
+ at article{fraunholz_complete_2013,
+	title = {Complete Genome Sequence of Staphylococcus aureus 6850, a Highly Cytotoxic and Clinically Virulent Methicillin-Sensitive Strain with Distant Relatedness to Prototype Strains},
+	volume = {1},
+	issn = {, 2169-8287},
+	url = {http://genomea.asm.org/content/1/5/e00775-13},
+	doi = {10.1128/genomeA.00775-13},
+	abstract = {Staphylococcus aureus is a frequent human commensal bacterium and pathogen. Here we report the complete genome sequence of strain 6850 (spa type t185; sequence type 50 [{ST50])}, a highly cytotoxic and clinically virulent methicillin-sensitive strain from a patient with complicated S. aureus bacteremia associated with osteomyelitis and septic arthritis.},
+	language = {en},
+	number = {5},
+	urldate = {2014-02-21},
+	journal = {Genome Announcements},
+	author = {Fraunholz, Martin and Bernhardt, Jörg and Schuldes, Jörg and Daniel, Rolf and Hecker, Michael and Sinha, Bhanu},
+	month = oct,
+	year = {2013},
+	note = {{PMID:} 24072870},
+	pages = {e00775--13},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\IQHF7WDB\Fraunholz et al. - 2013 - Complete Genome Sequence of Staphylococcus aureus .pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\SIJ2HDH4\e00775-13.html:text/html}
+},
+
+ at article{costa_complete_2013,
+	title = {Complete Genome Sequence of a Variant of the Methicillin-Resistant Staphylococcus aureus {ST239} Lineage, Strain {BMB9393}, Displaying Superior Ability To Accumulate ica-Independent Biofilm},
+	volume = {1},
+	issn = {, 2169-8287},
+	url = {http://genomea.asm.org/content/1/4/e00576-13},
+	doi = {10.1128/genomeA.00576-13},
+	abstract = {Biofilm is considered an important virulence factor in nosocomial infections. Herein, we report the complete genome sequence of a variant of methicillin-resistant Staphylococcus aureus, strain {BMB9393}, which is highly disseminated in Brazil. This strain belongs to the lineage {ST239} and displays increased ability to accumulate ica-independent biofilm and to invade human epithelial cells.},
+	language = {en},
+	number = {4},
+	urldate = {2014-02-21},
+	journal = {Genome Announcements},
+	author = {Costa, Maiana Oliveira Cerqueira and Beltrame, Cristiana Ossaille and Ferreira, Fabienne Antunes and Botelho, Ana Maria Nunes and Lima, Nicholas Costa Barroso and Souza, Rangel Celso and Almeida, Luiz Gonzaga Paula de and Vasconcelos, Ana Tereza Ribeiro and Nicolás, Marisa Fabiana and Figueiredo, Agnes Marie Sá},
+	month = aug,
+	year = {2013},
+	note = {{PMID:} 23929475},
+	pages = {e00576--13},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\XUX8NEU8\Costa et al. - 2013 - Complete Genome Sequence of a Variant of the Methi.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\TWKD8THE\e00576-13.html:text/html}
+},
+
+ at article{chen_complete_2013-1,
+	title = {Complete Genome Sequence of a Pantón-Valentine Leukocidin-Negative Community-Associated Methicillin-Resistant Staphylococcus aureus Strain of Sequence type 72 from Korea},
+	volume = {8},
+	url = {http://dx.doi.org/10.1371/journal.pone.0072803},
+	doi = {10.1371/journal.pone.0072803},
+	abstract = {In the past decade, community-associated ({CA-)} infections with methicillin-resistant Staphylococcus aureus ({MRSA)} have emerged throughout the world. Different {CA-MRSA} strains dominate in different geographical locations. Many {CA-MRSA} lineages contain genes coding for the Pantón-Valentine leukocidin. However, the role of this leukotoxin in {CA-MRSA} pathogenesis is still controversial. The genome sequences of two key {PVL-positive} {CA-MRSA} strains ({USA300}, {USA400 [...]
+	number = {8},
+	urldate = {2014-02-21},
+	journal = {{PLoS} {ONE}},
+	author = {Chen, Yan and Chatterjee, Som S. and Porcella, Stephen F. and Yu, Yun-Song and Otto, Michael},
+	month = aug,
+	year = {2013},
+	pages = {e72803},
+	file = {PLoS Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\JV2EXCUX\Chen et al. - 2013 - Complete Genome Sequence of a Pantón-Valentine Leu.pdf:application/pdf;PLoS Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\AN3B4VKG\infodoi10.1371journal.pone.html:text/html}
+},
+
+ at article{kos_comparative_2012,
+	title = {Comparative Genomics of Vancomycin-Resistant Staphylococcus aureus Strains and Their Positions within the Clade Most Commonly Associated with Methicillin-Resistant S. aureus Hospital-Acquired Infection in the United States},
+	volume = {3},
+	issn = {, 2150-7511},
+	url = {http://mbio.asm.org/content/3/3/e00112-12},
+	doi = {10.1128/mBio.00112-12},
+	abstract = {Methicillin-resistant Staphylococcus aureus ({MRSA)} strains are leading causes of hospital-acquired infections in the United States, and clonal cluster 5 ({CC5)} is the predominant lineage responsible for these infections. Since 2002, there have been 12 cases of vancomycin-resistant S. aureus ({VRSA)} infection in the United States—all {CC5} strains. To understand this genetic background and what distinguishes it from other lineages, we generated and analyzed high-quality d [...]
+{IMPORTANCE} Invasive methicillin-resistant Staphylococcus aureus ({MRSA)} infection now ranks among the leading causes of death in the United States. Vancomycin is a key last-line bactericidal drug for treating these infections. However, since 2002, vancomycin resistance has entered this species. Of the now 12 cases of vancomycin-resistant S. aureus ({VRSA)}, each was believed to represent a new acquisition of the vancomycin-resistant transposon Tn1546 from enterococcal donors. All acqu [...]
+	language = {en},
+	number = {3},
+	urldate = {2014-02-21},
+	journal = {{mBio}},
+	author = {Kos, Veronica N. and Desjardins, Christopher A. and Griggs, Allison and Cerqueira, Gustavo and Tonder, Andries Van and Holden, Matthew T. G. and Godfrey, Paul and Palmer, Kelli L. and Bodi, Kip and Mongodin, Emmanuel F. and Wortman, Jennifer and Feldgarden, Michael and Lawley, Trevor and Gill, Steven R. and Haas, Brian J. and Birren, Bruce and Gilmore, Michael S.},
+	month = jul,
+	year = {2012},
+	note = {{PMID:} 22617140},
+	pages = {e00112--12},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\Z2PUF9V8\Kos et al. - 2012 - Comparative Genomics of Vancomycin-Resistant Staph.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\BXHJCP48\e00112-12.html:text/html}
+},
+
+ at article{yamamoto_comparative_2012,
+	title = {Comparative Genomics and Drug Resistance of a Geographic Variant of {ST239} Methicillin-Resistant Staphylococcus aureus Emerged in Russia},
+	volume = {7},
+	url = {UR  - http://dx.doi.org/10.1371/journal.pone.0029187,http://dx.doi.org/10.1371/journal.pone.0029187},
+	doi = {10.1371/journal.pone.0029187},
+	abstract = {Two distinct classes of methicillin-resistant Staphylococcus aureus ({MRSA)} are spreading in hospitals (as hospital-acquired {MRSA}, {HA-MRSA)} and in the community (as community-acquired {MRSA}, {CA-MRSA).} Multilocus sequence type ({ST)} 239 {MRSA}, one of the most worldwide-disseminated lineages, has been noted as a representative {HA-MRSA.} Here, we isolated {ST239} {MRSA} (spa type 3 [t037] and staphylococcal cassette chromosome mec [{SCCmec]} type {III.1.1.1)} and its [...]
+	number = {1},
+	urldate = {2012-02-21},
+	journal = {{PLoS} {ONE}},
+	author = {Yamamoto, Tatsuo and Takano, Tomomi and Higuchi, Wataru and Iwao, Yasuhisa and Singur, Olga and Reva, Ivan and Otsuka, Yuta and Nakayashiki, Toru and Mori, Hirotada and Reva, Galina and Kuznetsov, Vladimir and Potapov, Vladimir},
+	month = jan,
+	year = {2012},
+	pages = {e29187},
+	file = {PLoS Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\XHJZTPCQ\Yamamoto et al. - 2012 - Comparative Genomics and Drug Resistance of a Geog.pdf:application/pdf;PLoS Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\5P92ZEGQ\infodoi10.1371journal.pone.html:text/html}
+},
+
+ at article{tenover_characterization_1998,
+	title = {Characterization of Staphylococci with Reduced Susceptibilities to Vancomycin and Other Glycopeptides},
+	volume = {36},
+	url = {http://jcm.asm.org/content/36/4/1020.abstract},
+	abstract = {During the last several years a series of staphylococcal isolates that demonstrated reduced susceptibility to vancomycin or other glycopeptides have been reported. We selected 12 isolates of staphylococci for which the vancomycin {MICs} were ≥4 μg/ml or for which the teicoplanin {MICs} were ≥8 μg/ml and 24 control strains for which the vancomycin {MICs} were ≤2 μg/ml or for which the teicoplanin {MICs} were ≤4 μg/ml to determine the ability of commercial susceptibility testi [...]
+	number = {4},
+	urldate = {2012-02-10},
+	journal = {Journal of Clinical Microbiology},
+	author = {Tenover, Fred C. and Lancaster, Michael V. and Hill, Bertha C. and Steward, Christine D. and Stocker, Sheila A. and Hancock, Gary A. and {O’Hara}, Caroline M. and Clark, Nancye C. and Hiramatsu, Keiichi},
+	month = apr,
+	year = {1998},
+	pages = {1020 --1027},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\936WM8NV\Tenover et al. - 1998 - Characterization of Staphylococci with Reduced Sus.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\X93A2PZQ\1020.full.html:text/html}
+},
+
+ at article{nicola_characterization_1998,
+	title = {Characterization of Erythromycin-Resistant Isolates of Staphylococcus aureus Recovered in the United States from 1958 through 1969},
+	volume = {42},
+	issn = {0066-4804, 1098-6596},
+	url = {http://aac.asm.org/content/42/11/3024},
+	language = {en},
+	number = {11},
+	urldate = {2012-03-13},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Nicola, Federico G and {McDougal}, Linda K and Biddle, James W and Tenover, Fred C},
+	month = nov,
+	year = {1998},
+	pages = {3024--3027},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\FP36HJ99\Nicola et al. - 1998 - Characterization of Erythromycin-Resistant Isolate.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\Q42DBUVK\3024.full.html:text/html}
+},
+
+ at article{chen_characterization_2013,
+	title = {Characterization and Comparison of 2 Distinct Epidemic Community-Associated Methicillin-Resistant Staphylococcus aureus Clones of {ST59} Lineage},
+	volume = {8},
+	url = {http://dx.doi.org/10.1371/journal.pone.0063210},
+	doi = {10.1371/journal.pone.0063210},
+	abstract = {Sequence type ({ST)} 59 is an epidemic lineage of community-associated ({CA)} methicillin-resistant Staphylococcus aureus ({MRSA)} isolates. Taiwanese {CA-MRSA} isolates belong to {ST59} and can be grouped into 2 distinct clones, a virulent Taiwan clone and a commensal Asian-Pacific clone. The Taiwan clone carries the {Panton–Valentine} leukocidin ({PVL)} genes and the staphylococcal chromosomal cassette mec ({SCCmec)} {VT}, and is frequently isolated from patients with seve [...]
+	number = {9},
+	urldate = {2014-02-21},
+	journal = {{PLoS} {ONE}},
+	author = {Chen, Chih-Jung and Unger, Clemens and Hoffmann, Wolfgang and Lindsay, Jodi A. and Huang, Yhu-Chering and Götz, Friedrich},
+	month = sep,
+	year = {2013},
+	pages = {e63210},
+	file = {PLoS Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\TUHQ5DCH\Chen et al. - 2013 - Characterization and Comparison of 2 Distinct Epid.pdf:application/pdf;PLoS Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\GHGX3RDK\infodoi10.1371journal.pone.html:text/html}
+},
+
+ at article{molestina_bei_2010,
+	title = {{BEI} Resources: a biological resource center for parasitologists},
+	volume = {26},
+	issn = {1471-4922},
+	shorttitle = {{BEI} Resources},
+	doi = {10.1016/j.pt.2010.09.003},
+	number = {12},
+	journal = {Trends in parasitology},
+	author = {Molestina, Robert E.},
+	month = dec,
+	year = {2010},
+	note = {{PMID:} 20932801
+{PMCID:} 2980584},
+	pages = {559--560},
+	file = {PubMed Central Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\ZBXVXHFT\Molestina - 2010 - BEI Resources a biological resource center for pa.pdf:application/pdf}
+},
+
+ at article{oliva_anti-staphylococcal_2004,
+	title = {Anti-staphylococcal activity and mode of action of clofazimine},
+	volume = {53},
+	issn = {0305-7453, 1460-2091},
+	url = {http://jac.oxfordjournals.org/content/53/3/435},
+	doi = {10.1093/jac/dkh114},
+	abstract = {Objectives: Infections caused by Staphylococcus aureus might be treated with agents whose primary indications are for other infections. Clofazimine, an established anti-mycobacterial drug, could be such a candidate. However, the anti-staphylococcal properties of clofazimine have not been fully described and its mode of action, possibly involving inhibition of both {RNA} polymerase and a membrane-located target, has not been explored in detail. We have now conducted experimen [...]
+Methods: Using established procedures, we examined the activity of clofazimine against a range of clinical isolates of S. aureus and determined whether it was bactericidal, exhibited a post-antibiotic effect ({PAE)}, or interacted synergically with other agents. The potential for emergence of clofazimine-resistant mutants was also examined. Mode of action studies involved macromolecular synthesis assays, cross-screening against rifampicin-resistant mutants, susceptibility of {RNA} polyme [...]
+Results: Clofazimine demonstrated good anti-staphylococcal activity encompassing {MSSA}, {MRSA} and {GISA.} It was bactericidal and resistant mutants could not be isolated. Clofazimine did not exhibit a {PAE} and failed to act synergically with other drugs. No evidence for specific inhibition of {RNA} polymerase was obtained. Clofazimine caused non-specific inhibition of {DNA}, {RNA} and protein synthesis, consistent with membrane-damaging activity that was detected in three independent  [...]
+Conclusions: Clofazimine is a potent anti-staphylococcal agent. It appears to be a membrane-disrupting agent and does not inhibit {RNA} polymerase.},
+	language = {en},
+	number = {3},
+	urldate = {2012-03-13},
+	journal = {Journal of Antimicrobial Chemotherapy},
+	author = {Oliva, Brunello and {O’Neill}, Alexander John and Miller, Keith and Stubbings, William and Chopra, Ian},
+	month = mar,
+	year = {2004},
+	keywords = {Keywords: Staphylococcus aureus, mechanisms of antibiotic action, membrane-disrupting agent},
+	pages = {435--440},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\9HEEK2SR\Oliva et al. - 2004 - Anti-staphylococcal activity and mode of action of.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\H2XSCCDC\435.html:text/html}
+},
+
+ at article{suzuki_antimicrobial_2011,
+	title = {Antimicrobial ointments and methicillin-resistant Staphylococcus aureus {USA300}},
+	volume = {17},
+	issn = {1080-6059},
+	url = {http://www.ncbi.nlm.nih.gov/pubmed/22000371},
+	doi = {10.3201/eid1710.101365},
+	abstract = {We tested 259 methicillin-resistant Staphylococcus aureus isolates and 2 {USA300} {ATCC} type strains for susceptibility to bacitracin and neomycin contained in over-the-counter antibacterial ointments. Resistance to both bacitracin and neomycin was found only in {USA300.} The use of over-the counter antimicrobial drugs may select for the {USA300} clone.},
+	number = {10},
+	urldate = {2012-03-24},
+	journal = {Emerging Infectious Diseases},
+	author = {Suzuki, Masahiro and Yamada, Kazuhiro and Nagao, Miki and Aoki, Etsuko and Matsumoto, Masakado and Hirayama, Tatsuya and Yamamoto, Hiroaki and Hiramatsu, Reiji and Ichiyama, Satoshi and Iinuma, Yoshitsugu},
+	month = oct,
+	year = {2011},
+	note = {{PMID:} 22000371},
+	keywords = {Anti-Bacterial Agents, Bacitracin, Humans, Methicillin-Resistant Staphylococcus aureus, Microbial Sensitivity Tests, Neomycin, Nonprescription Drugs, Ointments, Polymyxin B},
+	pages = {1917--1920},
+	file = {10-1365-ahead_of_print.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\JIBPH3IC\10-1365-ahead_of_print.pdf:application/pdf}
+},
+
+ at article{mcaleese_analysis_2003,
+	title = {Analysis of mutations in the Staphylococcus aureus {clfB} promoter leading to increased expression},
+	volume = {149},
+	issn = {1350-0872, 1465-2080},
+	url = {http://mic.sgmjournals.org/content/149/1/99},
+	doi = {10.1099/mic.0.25842-0},
+	language = {en},
+	number = {1},
+	urldate = {2012-03-13},
+	journal = {Microbiology},
+	author = {{McAleese}, Fionnuala M and Foster, Timothy J},
+	month = jan,
+	year = {2003},
+	pages = {99--109},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\ISHWNGH5\McAleese i Foster - 2003 - Analysis of mutations in the Staphylococcus aureus.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\HKGC7ABJ\99.full.html:text/html}
+},
+
+ at article{ferrero_analysis_1995,
+	title = {Analysis of {gyrA} and {grlA} mutations in stepwise-selected ciprofloxacin-resistant mutants of Staphylococcus aureus.},
+	volume = {39},
+	issn = {0066-4804},
+	abstract = {Fluoroquinolone-resistant mutants were obtained in vitro from Staphylococcus aureus {RN4220} by stepwise selection on increasing concentrations of ciprofloxacin. Results from sequence analysis of the quinolone resistance-determining region of {GyrA} and of the corresponding region of {GrlA}, the {DNA} topoisomerase {IV} subunit, showed an alteration of Ser-80 to Tyr (corresponding to Ser-83 of Escherichia coli {GyrA)} or Glu-84 to Lys in {GrlA} of both low- and high-level qu [...]
+	number = {7},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Ferrero, L and Cameron, B and Crouzet, J},
+	month = jul,
+	year = {1995},
+	note = {{PMID:} 7492103
+{PMCID:} 162780},
+	pages = {1554--1558},
+	file = {Ferrero et al. - 1995 - Analysis of gyrA and grlA mutations in stepwise-se.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\F7ZMGFB6\Ferrero et al. - 1995 - Analysis of gyrA and grlA mutations in stepwise-se.pdf:application/pdf}
+},
+
+ at article{edgeworth_outbreak_2007,
+	title = {An Outbreak in an Intensive Care Unit of a Strain of Methicillin-Resistant Staphylococcus aureus Sequence Type 239 Associated with an Increased Rate of Vascular Access {Device—Related} Bacteremia},
+	volume = {44},
+	issn = {1058-4838, 1537-6591},
+	url = {http://cid.oxfordjournals.org/content/44/4/493},
+	doi = {10.1086/511034},
+	abstract = {Background. Patients in intensive care units are at high risk of developing methicillin-resistant Staphylococcus aureus ({MRSA)} bacteremia. We report an epidemiological and bacterial genomic analysis of a 2-year outbreak in an intensive care unit of a variant of {MRSA} sequence type 239 (hereafter designated {TW).}
+Methods. A cohort study was conducted to compare risk factors for {MRSA} bacteremia in patients who acquired {TW} versus patients who acquired non-{TW} strains of {MRSA.} Genetic analysis of {TW} was performed using multilocus sequence typing and microarray analysis.
+Results. Patients who acquired {TW} were more likely than patients who acquired non-{TW} strains of {MRSA} to have {MRSA} isolated from blood samples (47\% vs. 13\%; P {\textless} .001) and to have {MRSA-positive} vascular access device—sample cultures (59\% vs. 26\%; P {\textless} .001), but less likely to have {MRSA} isolated from screening swab samples (30\% vs. 71\%; P {\textless} .001). This increased rate of {TW} bacteremia was confined to the first week after acquisition of {TW} i [...]
+Conclusions. To our knowledge, this is the first report to provide direct evidence that strains of {MRSA} can differ in their ability to cause bacteremia. Further genetic and in vitro analysis of the {TW} strain may provide insight into the mechanism of vascular access device—related bacteremia in the intensive care unit environment.},
+	language = {en},
+	number = {4},
+	urldate = {2012-03-13},
+	journal = {Clinical Infectious Diseases},
+	author = {Edgeworth, Jonathan D and Yadegarfar, Ghasem and Pathak, Smriti and Batra, Rahul and Cockfield, Joshua D and Wyncoll, Duncan and Beale, Richard and Lindsay, Jodi A},
+	month = feb,
+	year = {2007},
+	keywords = {{TW20}},
+	pages = {493--501},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\JBCBZJKQ\Edgeworth et al. - 2007 - An Outbreak in an Intensive Care Unit of a Strain .pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\6GRWB37F\493.html:text/html}
+},
+
+ at article{schaaff_elevated_2002,
+	title = {An Elevated Mutation Frequency Favors Development of Vancomycin Resistance in Staphylococcus aureus},
+	volume = {46},
+	issn = {0066-4804},
+	doi = {10.1128/AAC.46.11.3540-3548.2002},
+	abstract = {The emergence of intermediate vancomycin resistance, mainly in methicillin-resistant Staphylococcus aureus strains, has become a great concern. Thorough characterization of clinical and laboratory vancomycin-intermediately resistant S. aureus ({VISA)} strains identified multiple, resistance-associated changes most probably due to stepwise mutations. We hypothesized that an elevated mutation frequency as found, e.g., in mutator strains defective in {DNA} mismatch repair could [...]
+	number = {11},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Schaaff, Franziska and Reipert, Andrea and Bierbaum, Gabriele},
+	month = nov,
+	year = {2002},
+	note = {{PMID:} 12384362
+{PMCID:} 128741},
+	pages = {3540--3548},
+	file = {PubMed Central Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\XBZAXPN3\Schaaff et al. - 2002 - An Elevated Mutation Frequency Favors Development .pdf:application/pdf}
+},
+
+ at article{laplante_activities_2008,
+	title = {Activities of Clindamycin, Daptomycin, Doxycycline, Linezolid, Trimethoprim-Sulfamethoxazole, and Vancomycin against Community-Associated Methicillin-Resistant Staphylococcus aureus with Inducible Clindamycin Resistance in Murine Thigh Infection and In Vitro Pharmacodynamic Models},
+	volume = {52},
+	issn = {0066-4804, 1098-6596},
+	url = {http://aac.asm.org/content/52/6/2156},
+	doi = {10.1128/AAC.01046-07},
+	abstract = {Controversy exists about the most effective treatment options for community-associated methicillin-resistant Staphylococcus aureus ({CA-MRSA)} and about the ability of these strains to develop inducible resistance to clindamycin during therapy. Using both in vitro pharmacodynamic and murine thigh infection models, we evaluated and compared several antimicrobial compounds against {CA-MRSA.} Strains with inducible macrolide lincosamide-streptogramin type B ({iMLSB)} resistance [...]
+	language = {en},
+	number = {6},
+	urldate = {2014-02-21},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {{LaPlante}, Kerry L. and Leonard, Steven N. and Andes, David R. and Craig, William A. and Rybak, Michael J.},
+	month = jun,
+	year = {2008},
+	note = {{PMID:} 18411321},
+	pages = {2156--2162},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\7EZNHMIR\LaPlante et al. - 2008 - Activities of Clindamycin, Daptomycin, Doxycycline.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\7ETC56CZ\2156.html:text/html}
+},
+
+ at article{hanaki_activated_1998,
+	title = {Activated cell-wall synthesis is associated with vancomycin resistance in methicillin-resistant Staphylococcus aureus clinical strains Mu3 and Mu50},
+	volume = {42},
+	issn = {0305-7453},
+	abstract = {We have previously reported methicillin-resistant Staphylococcus aureus clinical strains, Mu50 and Mu3, representing two categories of vancomycin resistance: Mu50 representing vancomycin-resistant S. aureus ({VRSA)} with {MICs} {\textgreater} or = 8 {mg/L}, and Mu3 representing hetero-{VRSA} with {MICs} {\textless} or = 4 {mg/L} using standard {MIC} determination methods. The mechanisms of vancomycin resistance in these strains were investigated. These strains did not carry  [...]
+	language = {eng},
+	number = {2},
+	journal = {The Journal of antimicrobial chemotherapy},
+	author = {Hanaki, H and Kuwahara-Arai, K and Boyle-Vavra, S and Daum, R S and Labischinski, H and Hiramatsu, K},
+	month = aug,
+	year = {1998},
+	note = {{PMID:} 9738837},
+	keywords = {Acetylglucosamine, Anti-Bacterial Agents, Autolysis, Bacterial Proteins, Carrier Proteins, Cell Wall, Culture Media, Drug Resistance, Microbial, Drug Resistance, Multiple, Hexosyltransferases, Humans, Methicillin Resistance, Muramoylpentapeptide Carboxypeptidase, N-Acetylmuramoyl-L-alanine Amidase, Penicillin-Binding Proteins, Peptidoglycan, Peptidyl Transferases, Staphylococcus aureus, vancomycin},
+	pages = {199--209}
+},
+
+ at article{holt_very_2011,
+	title = {A Very Early-Branching Staphylococcus aureus Lineage Lacking the Carotenoid Pigment Staphyloxanthin},
+	volume = {3},
+	issn = {, 1759-6653},
+	url = {http://gbe.oxfordjournals.org/content/3/881},
+	doi = {10.1093/gbe/evr078},
+	language = {en},
+	urldate = {2012-03-13},
+	journal = {Genome Biology and Evolution},
+	author = {Holt, Deborah C and Holden, Matthew T. G and Tong, Steven Y. C and Castillo-Ramirez, Santiago and Clarke, Louise and Quail, Michael A and Currie, Bart J and Parkhill, Julian and Bentley, Stephen D and Feil, Edward J and Giffard, Philip M},
+	month = jan,
+	year = {2011},
+	keywords = {{MSHR1132}},
+	pages = {881--895},
+	file = {Holt et al. - 2011 - A Very Early-Branching Staphylococcus aureus Linea.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\QFWW6HD8\Holt et al. - 2011 - A Very Early-Branching Staphylococcus aureus Linea.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\XNHQDERU\881.full.html:text/html}
+},
+
+ at article{nubel_timescale_2010,
+	title = {A Timescale for Evolution, Population Expansion, and Spatial Spread of an Emerging Clone of Methicillin-Resistant Staphylococcus aureus},
+	volume = {6},
+	url = {http://dx.doi.org/10.1371/journal.ppat.1000855},
+	doi = {10.1371/journal.ppat.1000855},
+	abstract = {Author Summary
+Because fossils of bacteria do not exist or are morphologically indeterminate, the timescales of bacterial evolution are widely unknown. We have investigated the short-term evolution of a particular strain of methicillin-resistant Staphylococcus aureus ({MRSA)}, a notorious cause of hospital-associated infections. By comparing 118 kilobases of {DNA} from {MRSA} isolates that had been collected at different points in time, we demonstrate that this strain has accumulated measurable {DNA} s [...]
+	number = {4},
+	urldate = {2014-02-21},
+	journal = {{PLoS} Pathog},
+	author = {Nübel, Ulrich and Dordel, Janina and Kurt, Kevin and Strommenger, Birgit and Westh, Henrik and Shukla, Sanjay K. and Žemličková, Helena and Leblois, Raphaël and Wirth, Thierry and Jombart, Thibaut and Balloux, François and Witte, Wolfgang},
+	month = apr,
+	year = {2010},
+	pages = {e1000855},
+	file = {PLoS Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\ZWH4GRHU\Nübel et al. - 2010 - A Timescale for Evolution, Population Expansion, a.pdf:application/pdf;PLoS Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\MEBZUJ5V\infodoi10.1371journal.ppat.html:text/html}
+}
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+\bibcite{baba_genome_2008}{1}
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+\bibcite{garciaalvarez_meticillinresistant_2011}{26}
+\bibcite{gill_insights_2005}{27}
+\bibcite{hanaki_activated_1998}{28}
+\bibcite{harastani_genetic_2013}{29}
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+\bibcite{herron-olson_molecular_2007}{31}
+\bibcite{hershberger_evaluation_1999}{32}
+\bibcite{highlander_subtle_2007}{33}
+\bibcite{holden_complete_2004}{34}
+\bibcite{holden_genome_2010}{35}
+\bibcite{holt_very_2011}{36}
+\bibcite{howden_isolates_2006}{37}
+\bibcite{howden_complete_2010}{38}
+\bibcite{howden_genomic_2008}{39}
+\bibcite{kennedy_complete_2010}{40}
+\bibcite{khedkar_draft_2012}{41}
+\bibcite{kos_comparative_2012}{42}
+\bibcite{kuroda_identification_2000}{43}
+\bibcite{kuroda_two-component_2003}{44}
+\bibcite{kuroda_whole_2001}{45}
+\bibcite{laplante_activities_2008}{46}
+\bibcite{larner-svensson_complete_2013}{47}
+\bibcite{lee_phenotypic_1999}{48}
+\bibcite{li_complete_2011}{49}
+\bibcite{lin_proinflammatory_2011}{50}
+\bibcite{lindqvist_detection_2011}{51}
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+\bibcite{nubel_timescale_2010}{57}
+\bibcite{neoh_mutated_2008}{58}
+\bibcite{neoh_draft_2013}{59}
+\bibcite{nicola_characterization_1998}{60}
+\bibcite{oliva_anti-staphylococcal_2004}{61}
+\bibcite{oneill_molecular_2006}{62}
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+\bibcite{schijffelen_whole_2010}{74}
+\bibcite{sieradzki_evolution_2003}{75}
+\bibcite{smith_methicillinresistant_2009}{76}
+\bibcite{snyder_patric:_2007}{77}
+\bibcite{stegger_genome_2013}{78}
+\bibcite{stegger_genome_2012}{79}
+\bibcite{storrs_genetic_1988}{80}
+\bibcite{suzuki_antimicrobial_2011}{81}
+\bibcite{tenover_characterization_1998}{82}
+\bibcite{wyke_synthesis_1982}{83}
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diff --git a/other/res_data/sau/data-res.bbl b/other/res_data/sau/data-res.bbl
new file mode 100644
index 0000000..fb12dc1
--- /dev/null
+++ b/other/res_data/sau/data-res.bbl
@@ -0,0 +1,738 @@
+\begin{thebibliography}{10}
+
+\bibitem{baba_genome_2008}
+Tadashi Baba, Taeok Bae, Olaf Schneewind, Fumihiko Takeuchi, and Keiichi
+  Hiramatsu.
+\newblock Genome sequence of staphylococcus aureus strain newman and
+  comparative analysis of staphylococcal genomes: Polymorphism and evolution of
+  two major pathogenicity islands.
+\newblock {\em Journal of Bacteriology}, 190(1):300--310, January 2008.
+
+\bibitem{beltramini_modulation_2009}
+Amanda~M. Beltramini, Chitrangada~D. Mukhopadhyay, and Vijay Pancholi.
+\newblock Modulation of cell wall structure and antimicrobial susceptibility by
+  a staphylococcus aureus eukaryote-like {Serine/Threonine} kinase and
+  phosphatase.
+\newblock {\em Infection and Immunity}, 77(4):1406--1416, April 2009.
+\newblock {PMID:} 19188361 {PMCID:} 2663143.
+
+\bibitem{bikels-goshen_staphylococcal_2010}
+Tamar Bikels-Goshen, Elad Landau, Sam Saguy, and Roni Shapira.
+\newblock Staphylococcal strains adapted to epigallocathechin gallate ({EGCG)}
+  show reduced susceptibility to vancomycin, oxacillin and ampicillin,
+  increased heat tolerance, and altered cell morphology.
+\newblock {\em International journal of food microbiology}, 138(1-2):26--31,
+  March 2010.
+\newblock {PMID:} 20132996.
+
+\bibitem{brackman_quorum_2011}
+Gilles Brackman, Paul Cos, Louis Maes, Hans~J. Nelis, and Tom Coenye.
+\newblock Quorum sensing inhibitors increase the susceptibility of bacterial
+  biofilms to antibiotics in vitro and in vivo.
+\newblock {\em Antimicrobial Agents and Chemotherapy}, 55(6):2655–2661, 2011.
+
+\bibitem{burnside_regulation_2010}
+Kellie Burnside, Annalisa Lembo, Melissa de~los Reyes, Anton Iliuk, Nguyen-Thao
+  {BinhTran}, James~E. Connelly, Wan-Jung Lin, Byron~Z. Schmidt, Anthony~R.
+  Richardson, Ferric~C. Fang, Weiguo~Andy Tao, and Lakshmi Rajagopal.
+\newblock Regulation of hemolysin expression and virulence of staphylococcus
+  aureus by a {Serine/Threonine} kinase and phosphatase.
+\newblock {\em {PLoS} {ONE}}, 5(6):e11071, 2010.
+
+\bibitem{carroll_draft_2013}
+Ronan~K. Carroll, Whittney~N. Burda, Jill~C. Roberts, Kealy~K. Peak, Andrew~C.
+  Cannons, and Lindsey~N. Shaw.
+\newblock Draft genome sequence of strain {CBD-635}, a methicillin-resistant
+  staphylococcus aureus {USA100} isolate.
+\newblock {\em Genome Announcements}, 1(4):e00491--13, August 2013.
+\newblock {PMID:} 23846279.
+
+\bibitem{chen_characterization_2013}
+Chih-Jung Chen, Clemens Unger, Wolfgang Hoffmann, Jodi~A. Lindsay, Yhu-Chering
+  Huang, and Friedrich Götz.
+\newblock Characterization and comparison of 2 distinct epidemic
+  community-associated methicillin-resistant staphylococcus aureus clones of
+  {ST59} lineage.
+\newblock {\em {PLoS} {ONE}}, 8(9):e63210, September 2013.
+
+\bibitem{chen_complete_2013}
+Feng-Jui Chen, Tsai-Ling Lauderdale, Lih-Shinn Wang, and I-Wen Huang.
+\newblock Complete genome sequence of staphylococcus aureus z172, a
+  vancomycin-intermediate and daptomycin-nonsusceptible methicillin-resistant
+  strain isolated in taiwan.
+\newblock {\em Genome announcements}, 1(6), 2013.
+\newblock {PMID:} 24309740 {PMCID:} {PMC3853063}.
+
+\bibitem{chua_complete_2010}
+Kyra Chua, Torsten Seemann, Paul~F Harrison, John~K Davies, Scott~J Coutts,
+  Honglei Chen, Volker Haring, Robert Moore, Benjamin~P Howden, and Timothy~P
+  Stinear.
+\newblock Complete genome sequence of staphylococcus aureus strain {JKD6159}, a
+  unique australian clone of {ST93-IV} community methicillin-resistant
+  staphylococcus aureus.
+\newblock {\em Journal of Bacteriology}, 192(20):5556--5557, October 2010.
+
+\bibitem{coleman_susceptibility_1985}
+D.~C Coleman, H.~Pomeroy, J.~K Estridge, C.~T Keane, M.~T Cafferkey, R.~Hone,
+  and T.~J Foster.
+\newblock Susceptibility to antimicrobial agents and analysis of plasmids in
+  gentamicin- and methicillin-resistant staphylococcus aureus from dublin
+  hospitals.
+\newblock {\em Journal of Medical Microbiology}, 20(2):157--167, October 1985.
+
+\bibitem{costa_complete_2013}
+Maiana Oliveira~Cerqueira Costa, Cristiana~Ossaille Beltrame, Fabienne~Antunes
+  Ferreira, Ana Maria~Nunes Botelho, Nicholas Costa~Barroso Lima, Rangel~Celso
+  Souza, Luiz Gonzaga Paula~de Almeida, Ana Tereza~Ribeiro Vasconcelos,
+  Marisa~Fabiana Nicolás, and Agnes Marie~Sá Figueiredo.
+\newblock Complete genome sequence of a variant of the methicillin-resistant
+  staphylococcus aureus {ST239} lineage, strain {BMB9393}, displaying superior
+  ability to accumulate ica-independent biofilm.
+\newblock {\em Genome Announcements}, 1(4):e00576--13, August 2013.
+\newblock {PMID:} 23929475.
+
+\bibitem{crisostomo_evolution_2001}
+M.~Inês Crisostomo, Henrik Westh, Alexander Tomasz, Marilyn Chung, Duarte~C.
+  Oliveira, and Herminia de~Lencastre.
+\newblock The evolution of methicillin resistance in staphylococcus aureus:
+  Similarity of genetic backgrounds in historically early
+  methicillin-susceptible and -resistant isolates and contemporary epidemic
+  clones.
+\newblock {\em Proceedings of the National Academy of Sciences of the United
+  States of America}, 98(17):9865--9870, August 2001.
+\newblock {PMID:} 11481426 {PMCID:} 55544.
+
+\bibitem{crossley_staphylococci_2010}
+Kent~B. Crossley, Kimberly~K. Jefferson, Gordon~L. Archer, and Vance~G. Fowler.
+\newblock {\em Staphylococci in human disease}.
+\newblock Wiley-Blackwell, Hoboken ({NJ);} Chichester (West Sussex), 2010.
+
+\bibitem{cui_contribution_2009}
+Longzhu Cui, Hui-min Neoh, Mitsutaka Shoji, and Keiichi Hiramatsu.
+\newblock Contribution of {vraSR} and {graSR} point mutations to vancomycin
+  resistance in vancomycin-intermediate staphylococcus aureus.
+\newblock {\em Antimicrobial Agents and Chemotherapy}, 53(3):1231--1234, March
+  2009.
+
+\bibitem{dabul_draft_2013}
+Andrei Nicoli~G. Dabul, Veronica~N. Kos, Michael~S. Gilmore, and Ilana L. B.~C.
+  Camargo.
+\newblock Draft genome sequence of methicillin-resistant staphylococcus aureus
+  strain {SA16}, representative of an endemic clone from a brazilian hospital.
+\newblock {\em Genome Announcements}, 1(5):e00754--13, October 2013.
+\newblock {PMID:} 24051324.
+
+\bibitem{daurel_differences_2008}
+Claire Daurel, Corinne Huet, Anne Dhalluin, Michèle Bes, Jerome Etienne, and
+  Roland Leclercq.
+\newblock Differences in potential for selection of clindamycin-resistant
+  mutants between inducible erm(a) and erm(c) staphylococcus aureus genes.
+\newblock {\em Journal of Clinical Microbiology}, 46(2):546--550, February
+  2008.
+
+\bibitem{desbois_wax_2011}
+Andrew~P Desbois and Peter~J Coote.
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+  the efficacy of antistaphylococcal agents.
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+
+\bibitem{dickgiesser_toxic_1987}
+N~Dickgiesser and U~Wallach.
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+  by subinhibitory antibiotic concentrations.
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+\newblock {PMID:} 3692606.
+
+\bibitem{diep_complete_2006}
+Binh~An Diep, Steven~R Gill, Richard~F Chang, Tiffany~{HaiVan} Phan, Jason~H
+  Chen, Matthew~G Davidson, Felice Lin, Jessica Lin, Heather~A Carleton,
+  Emmanuel~F Mongodin, George~F Sensabaugh, and Françoise Perdreau-Remington.
+\newblock Complete genome sequence of {USA300}, an epidemic clone of
+  community-acquired meticillin-resistant staphylococcus aureus.
+\newblock {\em The Lancet}, 367(9512):731--739, March 2006.
+
+\bibitem{edgeworth_outbreak_2007}
+Jonathan~D Edgeworth, Ghasem Yadegarfar, Smriti Pathak, Rahul Batra, Joshua~D
+  Cockfield, Duncan Wyncoll, Richard Beale, and Jodi~A Lindsay.
+\newblock An outbreak in an intensive care unit of a strain of
+  methicillin-resistant staphylococcus aureus sequence type 239 associated with
+  an increased rate of vascular access {Device—Related} bacteremia.
+\newblock {\em Clinical Infectious Diseases}, 44(4):493--501, February 2007.
+
+\bibitem{ekkelenkamp_endocarditis_2006}
+M~B Ekkelenkamp, M~Sekkat, N~Carpaij, A~Troelstra, and M~J~M Bonten.
+\newblock Endocarditis due to meticillin-resistant staphylococcus aureus
+  originating from pigs.
+\newblock {\em Nederlands Tijdschrift Voor Geneeskunde}, 150(44):2442--2447,
+  November 2006.
+\newblock {PMID:} 17131705.
+
+\bibitem{eyyunni_network_2011}
+Lakshmi Eyyunni, Richard Pettyjohn, and Daniel~F. Sahm.
+\newblock Network on antimicrobial resistance in staphylococcus aureus, 2011.
+
+\bibitem{ferrero_analysis_1995}
+L~Ferrero, B~Cameron, and J~Crouzet.
+\newblock Analysis of {gyrA} and {grlA} mutations in stepwise-selected
+  ciprofloxacin-resistant mutants of staphylococcus aureus.
+\newblock {\em Antimicrobial Agents and Chemotherapy}, 39(7):1554--1558, July
+  1995.
+\newblock {PMID:} 7492103 {PMCID:} 162780.
+
+\bibitem{fraunholz_complete_2013}
+Martin Fraunholz, Jörg Bernhardt, Jörg Schuldes, Rolf Daniel, Michael Hecker,
+  and Bhanu Sinha.
+\newblock Complete genome sequence of staphylococcus aureus 6850, a highly
+  cytotoxic and clinically virulent methicillin-sensitive strain with distant
+  relatedness to prototype strains.
+\newblock {\em Genome Announcements}, 1(5):e00775--13, October 2013.
+\newblock {PMID:} 24072870.
+
+\bibitem{friedman_genetic_2006}
+Lisa Friedman, Jeff~D. Alder, and Jared~A. Silverman.
+\newblock Genetic changes that correlate with reduced susceptibility to
+  daptomycin in staphylococcus aureus.
+\newblock {\em Antimicrobial Agents and Chemotherapy}, 50(6):2137--2145, June
+  2006.
+\newblock {PMID:} 16723576 {PMCID:} 1479123.
+
+\bibitem{garciaalvarez_meticillinresistant_2011}
+Laura García–Álvarez, Matthew T.~G. Holden, Heather Lindsay, Cerian~R.
+  Webb, Derek F.~J. Brown, Martin~D. Curran, Enid Walpole, Karen Brooks,
+  Derek~J. Pickard, Christopher Teale, Julian Parkhill, Stephen~D. Bentley,
+  Giles~F. Edwards, E.~Kirsty Girvan, Angela~M. Kearns, Bruno Pichon, Robert
+  L.~R. Hill, Anders~R. Larsen, Robert~L. Skov, Sharon~J. Peacock, Duncan~J.
+  Maskell, and Mark~A. Holmes.
+\newblock Meticillin–resistant staphylococcus aureus with a novel {mecA}
+  homologue in human and bovine populations in the {UK} and denmark: a
+  descriptive study.
+\newblock {\em The Lancet Infectious Diseases}, 11(8):595–603, June 2011.
+
+\bibitem{gill_insights_2005}
+Steven~R Gill, Derrick~E Fouts, Gordon~L Archer, Emmanuel~F Mongodin, Robert~T
+  Deboy, Jacques Ravel, Ian~T Paulsen, James~F Kolonay, Lauren Brinkac, Mauren
+  Beanan, Robert~J Dodson, Sean~C Daugherty, Ramana Madupu, Samuel~V Angiuoli,
+  A~Scott Durkin, Daniel~H Haft, Jessica Vamathevan, Hoda Khouri, Terry
+  Utterback, Chris Lee, George Dimitrov, Lingxia Jiang, Haiying Qin, Jan
+  Weidman, Kevin Tran, Kathy Kang, Ioana~R Hance, Karen~E Nelson, and Claire~M
+  Fraser.
+\newblock Insights on evolution of virulence and resistance from the complete
+  genome analysis of an early methicillin-resistant staphylococcus aureus
+  strain and a biofilm-producing methicillin-resistant staphylococcus
+  epidermidis strain.
+\newblock {\em Journal of bacteriology}, 187(7):2426--2438, April 2005.
+\newblock {PMID:} 15774886 {PMCID:} {PMC1065214}.
+
+\bibitem{hanaki_activated_1998}
+H~Hanaki, K~Kuwahara-Arai, S~Boyle-Vavra, R~S Daum, H~Labischinski, and
+  K~Hiramatsu.
+\newblock Activated cell-wall synthesis is associated with vancomycin
+  resistance in methicillin-resistant staphylococcus aureus clinical strains
+  mu3 and mu50.
+\newblock {\em The Journal of antimicrobial chemotherapy}, 42(2):199--209,
+  August 1998.
+\newblock {PMID:} 9738837.
+
+\bibitem{harastani_genetic_2013}
+Houda~Haitham Harastani.
+\newblock {\em Genetic diversity of Staphylococcus aureus in Lebanon. (c2012)}.
+\newblock Thesis, February 2013.
+\newblock Includes bibliographical references (leaves 42-60).
+
+\bibitem{harro_draft_2013}
+Janette~M Harro, Sean Daugherty, Vincent~M Bruno, Mary~Ann Jabra-Rizk, David~A
+  Rasko, and Mark~E Shirtliff.
+\newblock Draft genome sequence of the methicillin-resistant staphylococcus
+  aureus isolate {MRSA-M2}.
+\newblock {\em Genome announcements}, 1(1), January 2013.
+\newblock {PMID:} 23405318 {PMCID:} {PMC3569307}.
+
+\bibitem{herron-olson_molecular_2007}
+Lisa Herron-Olson, J.~Ross Fitzgerald, James~M. Musser, and Vivek Kapur.
+\newblock Molecular correlates of host specialization in staphylococcus aureus.
+\newblock {\em {PLoS} {ONE}}, 2(10):e1120, October 2007.
+
+\bibitem{hershberger_evaluation_1999}
+Ellie Hershberger, Jeffrey~R Aeschlimann, Tabitha Moldovan, and Michael~J
+  Rybak.
+\newblock Evaluation of bactericidal activities of {LY333328}, vancomycin,
+  teicoplanin, ampicillin-sulbactam, trovafloxacin, and {RP59500} alone or in
+  combination with rifampin or gentamicin against different strains of
+  vancomycin-intermediate staphylococcus aureus by time-kill curve methods.
+\newblock {\em Antimicrobial Agents and Chemotherapy}, 43(3):717--721, March
+  1999.
+
+\bibitem{highlander_subtle_2007}
+Sarah~K. Highlander, Kristina~G. Hultén, Xiang Qin, Huaiyang Jiang, Shailaja
+  Yerrapragada, Edward~O. Mason, Yue Shang, Tiffany~M. Williams, Régine~M.
+  Fortunov, Yamei Liu, Okezie Igboeli, Joseph Petrosino, Madhan Tirumalai, Akif
+  Uzman, George~E. Fox, Ana Maria~M. Cardenas, Donna~M. Muzny, Lisa Hemphill,
+  Yan Ding, Shannon Dugan, Peter~R. Blyth, Christian~J. Buhay, Huyen~H. Dinh,
+  Alicia~C. Hawes, Michael Holder, Christie~L. Kovar, Sandra~L. Lee, Wen Liu,
+  Lynne~V. Nazareth, Qiaoyan Wang, Jianling Zhou, Sheldon~L. Kaplan, and
+  George~M. Weinstock.
+\newblock Subtle genetic changes enhance virulence of methicillin resistant and
+  sensitive staphylococcus aureus.
+\newblock {\em {BMC} microbiology}, 7(1):99+, November 2007.
+
+\bibitem{holden_complete_2004}
+Matthew T.~G Holden, Edward~J Feil, Jodi~A Lindsay, Sharon~J Peacock, Nicholas
+  P.~J Day, Mark~C Enright, Tim~J Foster, Catrin~E Moore, Laurence Hurst,
+  Rebecca Atkin, Andrew Barron, Nathalie Bason, Stephen~D Bentley, Carol
+  Chillingworth, Tracey Chillingworth, Carol Churcher, Louise Clark, Craig
+  Corton, Ann Cronin, Jon Doggett, Linda Dowd, Theresa Feltwell, Zahra Hance,
+  Barbara Harris, Heidi Hauser, Simon Holroyd, Kay Jagels, Keith~D James,
+  Nicola Lennard, Alexandra Line, Rebecca Mayes, Sharon Moule, Karen Mungall,
+  Douglas Ormond, Michael~A Quail, Ester Rabbinowitsch, Kim Rutherford, Mandy
+  Sanders, Sarah Sharp, Mark Simmonds, Kim Stevens, Sally Whitehead, Bart~G
+  Barrell, Brian~G Spratt, and Julian Parkhill.
+\newblock Complete genomes of two clinical staphylococcus aureus strains:
+  Evidence for the rapid evolution of virulence and drug resistance.
+\newblock {\em Proceedings of the National Academy of Sciences of the United
+  States of America}, 101(26):9786--9791, June 2004.
+
+\bibitem{holden_genome_2010}
+Matthew T.~G. Holden, Jodi~A. Lindsay, Craig Corton, Michael~A. Quail,
+  Joshua~D. Cockfield, Smriti Pathak, Rahul Batra, Julian Parkhill, Stephen~D.
+  Bentley, and Jonathan~D. Edgeworth.
+\newblock Genome sequence of a recently emerged, highly transmissible,
+  multi-antibiotic- and antiseptic-resistant variant of methicillin-resistant
+  staphylococcus aureus, sequence type 239 ({TW)}.
+\newblock {\em Journal of Bacteriology}, 192(3):888--892, February 2010.
+\newblock {PMID:} 19948800 {PMCID:} {PMC2812470}.
+
+\bibitem{holt_very_2011}
+Deborah~C Holt, Matthew T.~G Holden, Steven Y.~C Tong, Santiago
+  Castillo-Ramirez, Louise Clarke, Michael~A Quail, Bart~J Currie, Julian
+  Parkhill, Stephen~D Bentley, Edward~J Feil, and Philip~M Giffard.
+\newblock A very early-branching staphylococcus aureus lineage lacking the
+  carotenoid pigment staphyloxanthin.
+\newblock {\em Genome Biology and Evolution}, 3:881--895, January 2011.
+
+\bibitem{howden_isolates_2006}
+Benjamin~P Howden, Paul D.~R Johnson, Peter~B Ward, Timothy~P Stinear, and
+  John~K Davies.
+\newblock Isolates with low-level vancomycin resistance associated with
+  persistent methicillin-resistant staphylococcus aureus bacteremia.
+\newblock {\em Antimicrobial Agents and Chemotherapy}, 50(9):3039--3047,
+  September 2006.
+
+\bibitem{howden_complete_2010}
+Benjamin~P Howden, Torsten Seemann, Paul~F Harrison, Chris~R {McEvoy}, Jo-Ann~L
+  Stanton, Christy~J Rand, Chris~W Mason, Slade~O Jensen, Neville Firth, John~K
+  Davies, Paul D.~R Johnson, and Timothy~P Stinear.
+\newblock Complete genome sequence of staphylococcus aureus strain {JKD6008},
+  an {ST239} clone of methicillin-resistant staphylococcus aureus with
+  intermediate-level vancomycin resistance.
+\newblock {\em Journal of Bacteriology}, 192(21):5848--5849, November 2010.
+
+\bibitem{howden_genomic_2008}
+Benjamin~P Howden, Timothy~P Stinear, David~L Allen, Paul D.~R Johnson, Peter~B
+  Ward, and John~K Davies.
+\newblock Genomic analysis reveals a point mutation in the two-component sensor
+  gene {graS} that leads to intermediate vancomycin resistance in clinical
+  staphylococcus aureus.
+\newblock {\em Antimicrobial Agents and Chemotherapy}, 52(10):3755--3762,
+  October 2008.
+
+\bibitem{kennedy_complete_2010}
+Adam~D Kennedy, Stephen~F Porcella, Craig Martens, Adeline~R Whitney, Kevin~R
+  Braughton, Liang Chen, Carly~T Craig, Fred~C Tenover, Barry~N Kreiswirth,
+  James~M Musser, and Frank~R {DeLeo}.
+\newblock Complete nucleotide sequence analysis of plasmids in strains of
+  staphylococcus aureus clone {USA300} reveals a high level of identity among
+  isolates with closely related core genome sequences.
+\newblock {\em Journal of Clinical Microbiology}, 48(12):4504--4511, December
+  2010.
+
+\bibitem{khedkar_draft_2012}
+Supriya Khedkar, Sushma Prabhakara, Ramya~Malarini Loganathan, Chandana S,
+  Malali Gowda, Gayathri Arakere, and Aswin Sai~Narain Seshasayee.
+\newblock Draft genome sequence of staphylococcus aureus {ST672}, an emerging
+  disease clone from india.
+\newblock {\em Journal of Bacteriology}, 194(24):6946--6947, December 2012.
+\newblock {PMID:} 23209210 {PMCID:} {PMC3510593}.
+
+\bibitem{kos_comparative_2012}
+Veronica~N. Kos, Christopher~A. Desjardins, Allison Griggs, Gustavo Cerqueira,
+  Andries~Van Tonder, Matthew T.~G. Holden, Paul Godfrey, Kelli~L. Palmer, Kip
+  Bodi, Emmanuel~F. Mongodin, Jennifer Wortman, Michael Feldgarden, Trevor
+  Lawley, Steven~R. Gill, Brian~J. Haas, Bruce Birren, and Michael~S. Gilmore.
+\newblock Comparative genomics of vancomycin-resistant staphylococcus aureus
+  strains and their positions within the clade most commonly associated with
+  methicillin-resistant s. aureus hospital-acquired infection in the united
+  states.
+\newblock {\em {mBio}}, 3(3):e00112--12, July 2012.
+\newblock {PMID:} 22617140.
+
+\bibitem{kuroda_identification_2000}
+M~Kuroda, K~Kuwahara-Arai, and K~Hiramatsu.
+\newblock Identification of the up- and down-regulated genes in
+  vancomycin-resistant staphylococcus aureus strains mu3 and mu50 by {cDNA}
+  differential hybridization method.
+\newblock {\em Biochemical and Biophysical Research Communications},
+  269(2):485--490, March 2000.
+\newblock {PMID:} 10708580.
+
+\bibitem{kuroda_two-component_2003}
+Makoto Kuroda, Hiroko Kuroda, Taku Oshima, Fumihiko Takeuchi, Hirotada Mori,
+  and Keiichi Hiramatsu.
+\newblock Two-component system {VraSR} positively modulates the regulation of
+  cell-wall biosynthesis pathway in staphylococcus aureus.
+\newblock {\em Molecular Microbiology}, 49(3):807--821, August 2003.
+\newblock {PMID:} 12864861.
+
+\bibitem{kuroda_whole_2001}
+Makoto Kuroda, Toshiko Ohta, Ikuo Uchiyama, Tadashi Baba, Harumi Yuzawa, Ichizo
+  Kobayashi, Longzhu Cui, Akio Oguchi, Ken-ichi Aoki, Yoshimi Nagai, {JianQi}
+  Lian, Teruyo Ito, Mutsumi Kanamori, Hiroyuki Matsumaru, Atsushi Maruyama,
+  Hiroyuki Murakami, Akira Hosoyama, Yoko Mizutani-Ui, Noriko~K Takahashi,
+  Toshihiko Sawano, Ryu-ichi Inoue, Chikara Kaito, Kazuhisa Sekimizu, Hideki
+  Hirakawa, Satoru Kuhara, Susumu Goto, Junko Yabuzaki, Minoru Kanehisa,
+  Atsushi Yamashita, Kenshiro Oshima, Keiko Furuya, Chie Yoshino, Tadayoshi
+  Shiba, Masahira Hattori, Naotake Ogasawara, Hideo Hayashi, and Keiichi
+  Hiramatsu.
+\newblock Whole genome sequencing of meticillin-resistant staphylococcus
+  aureus.
+\newblock {\em The Lancet}, 357(9264):1225--1240, April 2001.
+
+\bibitem{laplante_activities_2008}
+Kerry~L. {LaPlante}, Steven~N. Leonard, David~R. Andes, William~A. Craig, and
+  Michael~J. Rybak.
+\newblock Activities of clindamycin, daptomycin, doxycycline, linezolid,
+  trimethoprim-sulfamethoxazole, and vancomycin against community-associated
+  methicillin-resistant staphylococcus aureus with inducible clindamycin
+  resistance in murine thigh infection and in vitro pharmacodynamic models.
+\newblock {\em Antimicrobial Agents and Chemotherapy}, 52(6):2156--2162, June
+  2008.
+\newblock {PMID:} 18411321.
+
+\bibitem{larner-svensson_complete_2013}
+Hanna Larner-Svensson, Peder Worning, Mette~D. Bartels, Lars~Hestbjerg Hansen,
+  Kit Boye, and Henrik Westh.
+\newblock Complete genome sequence of staphylococcus aureus strain m1, a unique
+  t024-{ST8-IVa} danish methicillin-resistant s. aureus clone.
+\newblock {\em Genome Announcements}, 1(3):e00336--13, June 2013.
+\newblock {PMID:} 23792746.
+
+\bibitem{lee_phenotypic_1999}
+Mark Joon-Sung Lee.
+\newblock {\em Phenotypic and genetic characterization of borderline
+  oxacillin-resistant Staphylococcus aureus}.
+\newblock University of Toronto, 1999.
+
+\bibitem{li_complete_2011}
+Yang Li, Boyang Cao, Yongfu Zhang, Jiali Zhou, Bin Yang, and Lei Wang.
+\newblock Complete genome sequence of staphylococcus aureus t0131, an
+  {ST239-MRSA-SCCmec} type {III} clone isolated in china.
+\newblock {\em Journal of Bacteriology}, 193(13):3411--3412, July 2011.
+
+\bibitem{lin_proinflammatory_2011}
+Ying-Chi Lin, Michele~J. Anderson, Petra~L. Kohler, Kristi~L. Strandberg,
+  Michael~E. Olson, Alexander~R. Horswill, Patrick~M. Schlievert, and Marnie~L.
+  Peterson.
+\newblock Proinflammatory exoprotein characterization of toxic shock syndrome
+  staphylococcus aureus.
+\newblock {\em Biochemistry}, 50(33):7157--7167, 2011.
+
+\bibitem{lindqvist_detection_2011}
+M.~Lindqvist, B.~Isaksson, C.~Grub, T.~Jonassen, and A.~Hällgren.
+\newblock Detection and characterisation of {SCCmec;} remnants in
+  multiresistant methicillin–susceptible
+  {\textbackslash}{textitStaphylococcus} aureus; causing a clonal outbreak in a
+  swedish county.
+\newblock {\em European Journal of Clinical Microbiology and Infectious
+  Diseases}, page 1–7, May 2011.
+
+\bibitem{mcaleese_analysis_2003}
+Fionnuala~M {McAleese} and Timothy~J Foster.
+\newblock Analysis of mutations in the staphylococcus aureus {clfB} promoter
+  leading to increased expression.
+\newblock {\em Microbiology}, 149(1):99--109, January 2003.
+
+\bibitem{mcdonald_draft_2013}
+Ryan~R. {McDonald}, George~R. Golding, James Irvine, Morag~R. Graham, Shaun
+  Tyler, Michael~R. Mulvey, and Paul~N. Levett.
+\newblock Draft genome sequence of methicillin-susceptible staphylococcus
+  aureus strain {06BA18369}, a pathogen associated with skin and soft tissue
+  infections in northern saskatchewan, canada.
+\newblock {\em Genome Announcements}, 1(3):e00389--13, June 2013.
+\newblock {PMID:} 23814031.
+
+\bibitem{meehl_interaction_2007}
+Michael Meehl, Silvia Herbert, Friedrich Gotz, and Ambrose Cheung.
+\newblock Interaction of the {graRS} {Two–Component} system with the {vraFG}
+  {ABC–Transporter} to support {Vancomycin–Intermediate} resistance in
+  staphylococcus aureus.
+\newblock {\em Antimicrobial Agents and Chemotherapy}, 51(8):2679–2689, 2007.
+
+\bibitem{molestina_bei_2010}
+Robert~E. Molestina.
+\newblock {BEI} resources: a biological resource center for parasitologists.
+\newblock {\em Trends in parasitology}, 26(12):559--560, December 2010.
+\newblock {PMID:} 20932801 {PMCID:} 2980584.
+
+\bibitem{mwangi_tracking_2007}
+M.~M. Mwangi, S.~W. Wu, Y.~Zhou, K.~Sieradzki, H.~de~Lencastre, P.~Richardson,
+  D.~Bruce, E.~Rubin, E.~Myers, E.~D. Siggia, and A.~Tomasz.
+\newblock Tracking the in vivo evolution of multidrug resistance in
+  staphylococcus aureus by whole–genome sequencing.
+\newblock {\em Proceedings of the National Academy of Sciences},
+  104(22):9451–9456, May 2007.
+
+\bibitem{nubel_timescale_2010}
+Ulrich Nübel, Janina Dordel, Kevin Kurt, Birgit Strommenger, Henrik Westh,
+  Sanjay~K. Shukla, Helena Žemličková, Raphaël Leblois, Thierry Wirth,
+  Thibaut Jombart, François Balloux, and Wolfgang Witte.
+\newblock A timescale for evolution, population expansion, and spatial spread
+  of an emerging clone of methicillin-resistant staphylococcus aureus.
+\newblock {\em {PLoS} Pathog}, 6(4):e1000855, April 2010.
+
+\bibitem{neoh_mutated_2008}
+Hui-min Neoh, Longzhu Cui, Harumi Yuzawa, Fumihiko Takeuchi, Miki Matsuo, and
+  Keiichi Hiramatsu.
+\newblock Mutated response regulator {graR} is responsible for phenotypic
+  conversion of staphylococcus aureus from heterogeneous
+  vancomycin-intermediate resistance to vancomycin-intermediate resistance.
+\newblock {\em Antimicrobial Agents and Chemotherapy}, 52(1):45--53, January
+  2008.
+\newblock {PMID:} 17954695 {PMCID:} 2223914.
+
+\bibitem{neoh_draft_2013}
+Hui-Min Neoh, Zeti-Azura Mohamed-Hussein, Xin-Ee Tan, Raja Mohd Fadhil B.
+  Raja~Abd Rahman, Salasawati Hussin, Noraziah~Mohamad Zin, and Rahman Jamal.
+\newblock Draft genome sequences of four nosocomial methicillin-resistant
+  staphylococcus aureus ({MRSA)} strains ({PPUKM-261-2009}, {PPUKM-332-2009},
+  {PPUKM-377-2009}, and {PPUKM-775-2009)} representative of dominant {MRSA}
+  pulsotypes circulating in a malaysian university teaching hospital.
+\newblock {\em Genome Announcements}, 1(1):e00103--12, February 2013.
+\newblock {PMID:} 23405328.
+
+\bibitem{nicola_characterization_1998}
+Federico~G Nicola, Linda~K {McDougal}, James~W Biddle, and Fred~C Tenover.
+\newblock Characterization of erythromycin-resistant isolates of staphylococcus
+  aureus recovered in the united states from 1958 through 1969.
+\newblock {\em Antimicrobial Agents and Chemotherapy}, 42(11):3024--3027,
+  November 1998.
+
+\bibitem{oliva_anti-staphylococcal_2004}
+Brunello Oliva, Alexander~John {O’Neill}, Keith Miller, William Stubbings,
+  and Ian Chopra.
+\newblock Anti-staphylococcal activity and mode of action of clofazimine.
+\newblock {\em Journal of Antimicrobial Chemotherapy}, 53(3):435--440, March
+  2004.
+
+\bibitem{oneill_molecular_2006}
+A.~J. {O'Neill}, T.~Huovinen, C.~W.~G. Fishwick, and I.~Chopra.
+\newblock Molecular genetic and structural modeling studies of staphylococcus
+  aureus {RNA} polymerase and the fitness of rifampin resistance genotypes in
+  relation to clinical prevalence.
+\newblock {\em Antimicrobial Agents and Chemotherapy}, 50(1):298–309, 2006.
+
+\bibitem{oneill_insertional_2002}
+Alexander~J. {O’Neill} and Ian Chopra.
+\newblock Insertional inactivation of {mutS} in staphylococcus aureus reveals
+  potential for elevated mutation frequencies, although the prevalence of
+  mutators in clinical isolates is low.
+\newblock {\em Journal of Antimicrobial Chemotherapy}, 50(2):161--169, August
+  2002.
+\newblock {PMID:} 12161395.
+
+\bibitem{peleg_whole_2012}
+Anton~Y. Peleg, Spiros Miyakis, Doyle~V. Ward, Ashlee~M. Earl, Aileen Rubio,
+  David~R. Cameron, Satish Pillai, Robert~C. Moellering, and George~M.
+  Eliopoulos.
+\newblock Whole genome characterization of the mechanisms of daptomycin
+  resistance in clinical and laboratory derived isolates of staphylococcus
+  aureus.
+\newblock {\em {PLoS} {ONE}}, 7(1):e28316, January 2012.
+
+\bibitem{pietiainen_transcriptome_2009}
+Milla Pietiainen, Patrice Francois, Hanne-Leena Hyyrylainen, Manuela Tangomo,
+  Vera Sass, Hans-Georg Sahl, Jacques Schrenzel, and Vesa~P Kontinen.
+\newblock Transcriptome analysis of the responses of staphylococcus aureus to
+  antimicrobial peptides and characterization of the roles of {vraDE} and
+  {vraSR} in antimicrobial resistance.
+\newblock {\em {BMC} Genomics}, 10:429, September 2009.
+\newblock {PMID:} 19751498 {PMCID:} 2748101.
+
+\bibitem{pillai_development_2009}
+Satish~K Pillai, Christine Wennersten, Lata Venkataraman, George~M Eliopoulos,
+  Robert~C Moellering, and Adolf~W Karchmer.
+\newblock Development of reduced vancomycin susceptibility in
+  methicillin-susceptible staphylococcus aureus.
+\newblock {\em Clinical Infectious Diseases}, 49(8):1169--1174, October 2009.
+
+\bibitem{pucci_direct_2002}
+Michael~J Pucci and Thomas~J Dougherty.
+\newblock Direct quantitation of the numbers of individual penicillin-binding
+  proteins per cell in staphylococcus aureus.
+\newblock {\em Journal of Bacteriology}, 184(2):588--591, January 2002.
+
+\bibitem{renzoni_transcriptomic_2006}
+Adriana Renzoni, Christine Barras, Patrice Francois, Yvan Charbonnier, Elzbieta
+  Huggler, Christian Garzoni, William~L. Kelley, Paul Majcherczyk, Jacques
+  Schrenzel, Daniel~P. Lew, and Pierre Vaudaux.
+\newblock Transcriptomic and functional analysis of an autolysis-deficient,
+  teicoplanin-resistant derivative of methicillin-resistant staphylococcus
+  aureus.
+\newblock {\em Antimicrobial Agents and Chemotherapy}, 50(9):3048--3061,
+  September 2006.
+\newblock {PMID:} 16940101 {PMCID:} {PMC1563528}.
+
+\bibitem{robinson_re-emergence_2005}
+D~Ashley Robinson, Angela~M Kearns, Anne Holmes, Donald Morrison, Hajo
+  Grundmann, Giles Edwards, Frances~G {O'Brien}, Fred~C Tenover, Linda~K
+  {McDougal}, Alastair~B Monk, and Mark~C Enright.
+\newblock Re-emergence of early pandemic staphylococcus aureus as a
+  community-acquired meticillin-resistant clone.
+\newblock {\em Lancet}, 365(9466):1256--1258, April 2005.
+\newblock {PMID:} 15811459.
+
+\bibitem{rolain_genomic_2009}
+Jean-Marc Rolain, Patrice François, David Hernandez, Fadi Bittar, Hervé
+  Richet, Ghislain Fournous, Yves Mattenberger, Emmanuelle Bosdure, Nathalie
+  Stremler, Jean-Christophe Dubus, Jacques Sarles, Martine Reynaud-Gaubert,
+  Stephanie Boniface, Jacques Schrenzel, and Didier Raoult.
+\newblock Genomic analysis of an emerging multiresistant staphylococcus aureus
+  strain rapidly spreading in cystic fibrosis patients revealed the presence of
+  an antibiotic inducible bacteriophage.
+\newblock {\em Biology Direct}, 4:1, 2009.
+\newblock {PMID:} 19144117.
+
+\bibitem{sakoulas_induction_2006}
+George Sakoulas, Jeff Alder, Claudie Thauvin-Eliopoulos, Robert~C. Moellering,
+  and George~M. Eliopoulos.
+\newblock Induction of daptomycin heterogeneous susceptibility in
+  staphylococcus aureus by exposure to vancomycin.
+\newblock {\em Antimicrobial Agents and Chemotherapy}, 50(4):1581--1585, April
+  2006.
+\newblock {PMID:} 16569891 {PMCID:} 1426932.
+
+\bibitem{sass_genome_2012}
+Peter Sass, Anne Berscheid, Andrea Jansen, Marion Oedenkoven, Christiane
+  Szekat, Axel Strittmatter, Gerhard Gottschalk, and Gabriele Bierbaum.
+\newblock Genome sequence of staphylococcus aureus {VC40}, a vancomycin- and
+  daptomycin-resistant strain, to study the genetics of development of
+  resistance to currently applied last-resort antibiotics.
+\newblock {\em Journal of Bacteriology}, 194(8):2107--2108, April 2012.
+\newblock {PMID:} 22461548.
+
+\bibitem{schaaff_elevated_2002}
+Franziska Schaaff, Andrea Reipert, and Gabriele Bierbaum.
+\newblock An elevated mutation frequency favors development of vancomycin
+  resistance in staphylococcus aureus.
+\newblock {\em Antimicrobial Agents and Chemotherapy}, 46(11):3540--3548,
+  November 2002.
+\newblock {PMID:} 12384362 {PMCID:} 128741.
+
+\bibitem{schijffelen_whole_2010}
+Maarten~J Schijffelen, {CH}~Edwin Boel, Jos~{AG} van Strijp, and Ad~C Fluit.
+\newblock Whole genome analysis of a livestock-associated methicillin-resistant
+  staphylococcus aureus {ST398} isolate from a case of human endocarditis.
+\newblock {\em {BMC} Genomics}, 11(1):376, June 2010.
+
+\bibitem{sieradzki_evolution_2003}
+K.~Sieradzki, T.~Leski, J.~Dick, L.~Borio, and A.~Tomasz.
+\newblock Evolution of a vancomycin-intermediate staphylococcus aureus strain
+  in vivo: Multiple changes in the antibiotic resistance phenotypes of a single
+  lineage of methicillin-resistant s. aureus under the impact of antibiotics
+  administered for chemotherapy.
+\newblock {\em Journal of Clinical Microbiology}, 41(4):1687--1693, April 2003.
+\newblock {PMID:} 12682161 {PMCID:} 153915.
+
+\bibitem{smith_methicillinresistant_2009}
+Tara~C. Smith, Michael~J. Male, Abby~L. Harper, Jennifer~S. Kroeger, Gregory~P.
+  Tinkler, Erin~D. Moritz, Ana~W. Capuano, Loreen~A. Herwaldt, and Daniel~J.
+  Diekema.
+\newblock {Methicillin–Resistant} staphylococcus aureus ({MRSA)} strain
+  {ST398} is present in midwestern {U.S.} swine and swine workers.
+\newblock {\em {PLoS} {ONE}}, 4(1):e4258, 2009.
+
+\bibitem{snyder_patric:_2007}
+E.~E. Snyder, N.~Kampanya, J.~Lu, E.~K. Nordberg, H.~R. Karur, M.~Shukla,
+  J.~Soneja, Y.~Tian, T.~Xue, H.~Yoo, F.~Zhang, C.~Dharmanolla, N.~V. Dongre,
+  J.~J. Gillespie, J.~Hamelius, M.~Hance, K.~I. Huntington, D.~Jukneliene,
+  J.~Koziski, L.~Mackasmiel, S.~P. Mane, V.~Nguyen, A.~Purkayastha, J.~Shallom,
+  G.~Yu, Y.~Guo, J.~Gabbard, D.~Hix, A.~F. Azad, S.~C. Baker, S.~M. Boyle,
+  Y.~Khudyakov, X.~J. Meng, C.~Rupprecht, J.~Vinje, O.~R. Crasta, M.~J. Czar,
+  A.~Dickerman, J.~D. Eckart, R.~Kenyon, R.~Will, J.~C. Setubal, and B.~W.~S.
+  Sobral.
+\newblock {PATRIC:} the {VBI} {PathoSystems} resource integration center.
+\newblock {\em Nucleic Acids Research}, 35(Database issue):D401--D406, January
+  2007.
+\newblock {PMID:} 17142235 {PMCID:} 1669763.
+
+\bibitem{stegger_genome_2013}
+Marc Stegger, Elizabeth~M Driebe, Chandler Roe, Darrin Lemmer, Jolene~R Bowers,
+  David~M Engelthaler, Paul Keim, and Paal~S Andersen.
+\newblock Genome sequence of staphylococcus aureus strain {CA-347}, a {USA600}
+  methicillin-resistant isolate.
+\newblock {\em Genome announcements}, 1(4), 2013.
+\newblock {PMID:} 23887918 {PMCID:} {PMC3735070}.
+
+\bibitem{stegger_genome_2012}
+Marc Stegger, Lance~B Price, Anders~R Larsen, John~D Gillece, Andrew~E Waters,
+  Robert Skov, and Paal~S Andersen.
+\newblock Genome sequence of staphylococcus aureus strain 11819-97, an
+  {ST80-IV} european community-acquired methicillin-resistant isolate.
+\newblock {\em Journal of Bacteriology}, 194(6):1625--1626, March 2012.
+
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+M~J Storrs, P~Courvalin, and T~J Foster.
+\newblock Genetic analysis of gentamicin resistance in methicillin- and
+  gentamicin-resistant strains of staphylococcus aureus isolated in dublin
+  hospitals.
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+  1988.
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+
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+Masahiro Suzuki, Kazuhiro Yamada, Miki Nagao, Etsuko Aoki, Masakado Matsumoto,
+  Tatsuya Hirayama, Hiroaki Yamamoto, Reiji Hiramatsu, Satoshi Ichiyama, and
+  Yoshitsugu Iinuma.
+\newblock Antimicrobial ointments and methicillin-resistant staphylococcus
+  aureus {USA300}.
+\newblock {\em Emerging Infectious Diseases}, 17(10):1917--1920, October 2011.
+\newblock {PMID:} 22000371.
+
+\bibitem{tenover_characterization_1998}
+Fred~C. Tenover, Michael~V. Lancaster, Bertha~C. Hill, Christine~D. Steward,
+  Sheila~A. Stocker, Gary~A. Hancock, Caroline~M. {O’Hara}, Nancye~C. Clark,
+  and Keiichi Hiramatsu.
+\newblock Characterization of staphylococci with reduced susceptibilities to
+  vancomycin and other glycopeptides.
+\newblock {\em Journal of Clinical Microbiology}, 36(4):1020 --1027, April
+  1998.
+
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+A~W Wyke, J~B Ward, and M~V Hayes.
+\newblock Synthesis of peptidoglycan in vivo in methicillin-resistant
+  staphylococcus aureus.
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+  October 1982.
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+
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+Huping Xue, Hong Lu, and Xin Zhao.
+\newblock Sequence diversities of serine-aspartate repeat genes among
+  staphylococcus aureus isolates from different hosts presumably by horizontal
+  gene transfer.
+\newblock {\em {PLoS} {ONE}}, 6(5):e20332, May 2011.
+
+\bibitem{yamada_quinolone_1997}
+H.~Yamada, S.~Kurose-Hamada, Y.~Fukuda, J.~Mitsuyama, M.~Takahata, S.~Minami,
+  Y.~Watanabe, and H.~Narita.
+\newblock Quinolone susceptibility of {norA-Disrupted} staphylococcus aureus.
+\newblock {\em Antimicrobial Agents and Chemotherapy}, 41(10):2308--2309,
+  October 1997.
+
+\bibitem{yamamoto_comparative_2012}
+Tatsuo Yamamoto, Tomomi Takano, Wataru Higuchi, Yasuhisa Iwao, Olga Singur,
+  Ivan Reva, Yuta Otsuka, Toru Nakayashiki, Hirotada Mori, Galina Reva,
+  Vladimir Kuznetsov, and Vladimir Potapov.
+\newblock Comparative genomics and drug resistance of a geographic variant of
+  {ST239} methicillin-resistant staphylococcus aureus emerged in russia.
+\newblock {\em {PLoS} {ONE}}, 7(1):e29187, January 2012.
+
+\end{thebibliography}
diff --git a/other/res_data/sau/data-res.blg b/other/res_data/sau/data-res.blg
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diff --git a/other/res_data/sau/data-res.log b/other/res_data/sau/data-res.log
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+\documentclass[10pt]{article}
+\usepackage{amsmath}
+\usepackage{amssymb}
+\usepackage{graphicx}
+\usepackage[table]{xcolor}
+\usepackage{cite}
+\usepackage{color} 
+\usepackage[margin=1in, paperwidth=108in, paperheight=45in]{geometry}
+\textwidth 30in 
+\textheight 42in
+\topmargin 0.0cm
+\oddsidemargin 0.5cm
+\evensidemargin 0.5cm
+\usepackage[labelfont=bf,labelsep=period,justification=raggedright]{caption}
+\makeatletter
+\renewcommand{\@biblabel}[1]{\quad#1.}
+\makeatother
+\date{}
+\pagestyle{myheadings}
+\begin{document}
+\begin{table}[!ht]
+\caption{\bf{Complete collected data on drug resistance.}}
+\begin{tabular}{|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|}\hline
+Strain & Vancomycin & Meticillin & Tetracycline & Ciprofloxacin & Clindamycin & Erythromycin & Oxacillin & Gentamicin & Chloramphenicol & Kanamycin & Co-trimoxazole & Rifampicin & Daptomycin & Bacitracin & Penicillin & Levofloxacin & Cefazolin & Tobramycin & Minocycline & Mupirocin & Doxycycline & Neomycin & Cefotaxime & Sparfloxacin & Cephalexin & Clarithromycin & Ofloxacin & Teicoplanin & Nisin & Fusidic acid & Imipenem & Trimethoprim & Moxifloxacin & Lincomycin & Linezolid & Quinupris [...]
+04-02981 & $S$\cite{nubel_timescale_2010}\cellcolor{green} & $R$\cite{nubel_timescale_2010}\cellcolor{red} & $S$\cite{nubel_timescale_2010}\cellcolor{green} & $R$\cite{nubel_timescale_2010}\cellcolor{red} & $R$\cite{nubel_timescale_2010}\cellcolor{red} & $R$\cite{nubel_timescale_2010}\cellcolor{red} & $R$\cite{nubel_timescale_2010}\cellcolor{red} & $S$\cite{nubel_timescale_2010}\cellcolor{green} & $R$\cite{nubel_timescale_2010}\cellcolor{red} &  &  &  &  &  & $R$\cite{nubel_timescale_201 [...]
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+CA-347 &  & $R$\cite{stegger_genome_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+CBD-635 & $I$\cite{carroll_draft_2013}\cellcolor{yellow} & $R$\cite{carroll_draft_2013}\cellcolor{red} & $R$\cite{carroll_draft_2013}\cellcolor{red} & $R$\cite{carroll_draft_2013}\cellcolor{red} & $R$\cite{carroll_draft_2013}\cellcolor{red} & $R$\cite{carroll_draft_2013}\cellcolor{red} &  & $R$\cite{carroll_draft_2013}\cellcolor{red} & $R$\cite{carroll_draft_2013}\cellcolor{red} &  &  &  & $I$\cite{carroll_draft_2013}\cellcolor{yellow} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & [...]
+CF-Marseille &  & $R$\cite{rolain_genomic_2009}\cellcolor{red} & $R$\cite{rolain_genomic_2009}\cellcolor{red} &  &  & $R$\cite{rolain_genomic_2009}\cellcolor{red} &  & $S$\cite{rolain_genomic_2009}\cellcolor{green} &  & $R$\cite{rolain_genomic_2009}\cellcolor{red} &  &  &  &  &  &  &  & $R$\cite{rolain_genomic_2009}\cellcolor{red} &  &  &  &  &  &  &  &  & $R$\cite{rolain_genomic_2009}\cellcolor{red} &  &  &  &  &  &  & $R$\cite{rolain_genomic_2009}\cellcolor{red} &  &  &  &  &  &  &  &  [...]
+CN1 &  & $R$\cite{chen_complete_2013}\cellcolor{red} &  &  & $R$\cite{chen_complete_2013}\cellcolor{red} & $R$\cite{chen_complete_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+COL & $S:2$\cite{eyyunni_network_2011}\cellcolor{green} & $R$\cite{gill_insights_2005}\cellcolor{red} & $R:>16$\cite{eyyunni_network_2011}\cellcolor{red} & $S:0.25$\cite{eyyunni_network_2011}\cellcolor{green} & $S:0.06$\cite{eyyunni_network_2011}\cellcolor{green} & $S:0.25$\cite{eyyunni_network_2011}\cellcolor{green} & $R:16$\cite{eyyunni_network_2011}\cellcolor{red} & $S:0.12$\cite{eyyunni_network_2011}\cellcolor{green} &  &  & $S$\cite{eyyunni_network_2011}\cellcolor{green} &  &  &  &  [...]
+E1410 &  & $S$\cite{robinson_re-emergence_2005}\cellcolor{green} & $S$\cite{crisostomo_evolution_2001}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  & $R$\cite{crisostomo_evolution_2001}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & $R$\cite{crisostomo_evolution_2001}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+ECT-R 2 &  & $S$\cite{lindqvist_detection_2011}\cellcolor{green} &  &  & $R$\cite{lindqvist_detection_2011}\cellcolor{red} & $R$\cite{lindqvist_detection_2011}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  & $R$\cite{lindqvist_detection_2011}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+EMRSA-15 &  & $R$\cite{broad_database}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+EMRSA16 &  & $R$\cite{robinson_re-emergence_2005}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+HST-084 &  & $R$\cite{harastani_genetic_2013}\cellcolor{red} &  &  &  &  & $R$\cite{harastani_genetic_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+HST-105 &  & $R$\cite{harastani_genetic_2013}\cellcolor{red} & $R$\cite{harastani_genetic_2013}\cellcolor{red} &  &  &  & $R$\cite{harastani_genetic_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+HST-107 &  & $R$\cite{harastani_genetic_2013}\cellcolor{red} & $R$\cite{harastani_genetic_2013}\cellcolor{red} &  &  &  & $R$\cite{harastani_genetic_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+JH1 & $S:1$\cite{mwangi_tracking_2007}\cellcolor{green} & $R$\cite{mwangi_tracking_2007}\cellcolor{red} & $S$\cite{mwangi_tracking_2007}\cellcolor{green} &  & $R$\cite{sieradzki_evolution_2003}\cellcolor{red} & $R$\cite{sieradzki_evolution_2003}\cellcolor{red} & $S:0.75$\cite{mwangi_tracking_2007}\cellcolor{green} &  &  &  &  & $S:0.01$\cite{mwangi_tracking_2007}\cellcolor{green} & $S:0.01$\cite{mwangi_tracking_2007}\cellcolor{green} &  &  & $R$\cite{sieradzki_evolution_2003}\cellcolor{r [...]
+JH9 & $I:8$\cite{mwangi_tracking_2007}\cellcolor{yellow} & $R$\cite{mwangi_tracking_2007}\cellcolor{red} & $S$\cite{mwangi_tracking_2007}\cellcolor{green} &  & $R$\cite{sieradzki_evolution_2003}\cellcolor{red} & $R$\cite{sieradzki_evolution_2003}\cellcolor{red} & $S:0.75$\cite{mwangi_tracking_2007}\cellcolor{green} &  &  &  &  & $R:16$\cite{mwangi_tracking_2007}\cellcolor{red} & $S:1$\cite{mwangi_tracking_2007}\cellcolor{green} &  &  & $R$\cite{sieradzki_evolution_2003}\cellcolor{red} &  [...]
+JKD6008 & $I:4$\cite{howden_isolates_2006}\cellcolor{yellow}$I:8$\cite{howden_genomic_2008}\cellcolor{yellow} & $R$\cite{howden_complete_2010}\cellcolor{red} & $R$\cite{howden_genomic_2008}\cellcolor{red} & $R$\cite{howden_genomic_2008}\cellcolor{red} &  &  & $R:>256$\cite{howden_isolates_2006}\cellcolor{red} & $R$\cite{howden_genomic_2008}\cellcolor{red} &  &  & $R$\cite{howden_genomic_2008}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & $S:2.0$\cite{howden_isolates_20 [...]
+JKD6009 & $S:1$\cite{howden_isolates_2006}\cellcolor{green}$S:2$\cite{howden_genomic_2008}\cellcolor{green} & $R$\cite{howden_complete_2010}\cellcolor{red} & $R$\cite{howden_genomic_2008}\cellcolor{red} & $R$\cite{howden_genomic_2008}\cellcolor{red} &  &  & $R:>256$\cite{howden_isolates_2006}\cellcolor{red} & $R$\cite{howden_genomic_2008}\cellcolor{red} &  &  & $R$\cite{howden_genomic_2008}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & $S:3$\cite{howden_genomic_2008}\c [...]
+JKD6159 & $S$\cite{chua_complete_2010}\cellcolor{green} & $R$\cite{chua_complete_2010}\cellcolor{red} & $S$\cite{chua_complete_2010}\cellcolor{green} & $S$\cite{chua_complete_2010}\cellcolor{green} & $S$\cite{chua_complete_2010}\cellcolor{green} & $S$\cite{chua_complete_2010}\cellcolor{green} &  &  &  &  &  & $S$\cite{chua_complete_2010}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & $S$\cite{chua_complete_2010}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &   [...]
+LGA251 &  & $R$\cite{garciaalvarez_meticillinresistant_2011}\cellcolor{red} & $S$\cite{garciaalvarez_meticillinresistant_2011}\cellcolor{green} & $S$\cite{garciaalvarez_meticillinresistant_2011}\cellcolor{green} & $S$\cite{garciaalvarez_meticillinresistant_2011}\cellcolor{green} & $S$\cite{garciaalvarez_meticillinresistant_2011}\cellcolor{green} & $R:16$\cite{garciaalvarez_meticillinresistant_2011}\cellcolor{red} & $S$\cite{garciaalvarez_meticillinresistant_2011}\cellcolor{green} & $S$\c [...]
+M1 &  & $R$\cite{larner-svensson_complete_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+M1015 &  & $S$\cite{robinson_re-emergence_2005}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+M2 &  & $R$\cite{harro_draft_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+M809 &  & $S$\cite{robinson_re-emergence_2005}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+M876 &  & $S$\cite{robinson_re-emergence_2005}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+M899 &  & $S$\cite{robinson_re-emergence_2005}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+MN8 & $S:1$\cite{eyyunni_network_2011}\cellcolor{green} & $S$\cite{lin_proinflammatory_2011}\cellcolor{green} & $S:0.12$\cite{dickgiesser_toxic_1987}\cellcolor{green} & $S:0.5$\cite{eyyunni_network_2011}\cellcolor{green} & $S:0.062$\cite{dickgiesser_toxic_1987}\cellcolor{green}$S:0.12$\cite{eyyunni_network_2011}\cellcolor{green} & $S:0.12$\cite{dickgiesser_toxic_1987}\cellcolor{green}$S:0.5$\cite{eyyunni_network_2011}\cellcolor{green} & $S:0.12$\cite{eyyunni_network_2011}\cellcolor{green [...]
+MR1 &  & $R$\cite{wyke_synthesis_1982}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+MRGR3 &  & $R$\cite{renzoni_transcriptomic_2006}\cellcolor{red} & $R$\cite{renzoni_transcriptomic_2006}\cellcolor{red} & $S$\cite{renzoni_transcriptomic_2006}\cellcolor{green} &  & $R$\cite{renzoni_transcriptomic_2006}\cellcolor{red} &  & $R$\cite{renzoni_transcriptomic_2006}\cellcolor{red} &  &  &  & $S$\cite{renzoni_transcriptomic_2006}\cellcolor{green} &  &  & $R$\cite{renzoni_transcriptomic_2006}\cellcolor{red} & $S$\cite{renzoni_transcriptomic_2006}\cellcolor{green} &  &  &  & $S$\c [...]
+MRSA131 & $S$\cite{snyder_patric:_2007}\cellcolor{green} & $R$\cite{snyder_patric:_2007}\cellcolor{red} &  & $S$\cite{snyder_patric:_2007}\cellcolor{green} &  &  &  & $S$\cite{snyder_patric:_2007}\cellcolor{green} & $S$\cite{snyder_patric:_2007}\cellcolor{green} &  &  & $S$\cite{snyder_patric:_2007}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & $S$\cite{snyder_patric:_2007}\cellcolor{green} &  &  &  &  &  &  & $S$\cite{snyder_patric:_2007}\cellcolor{green} &  &  &  &  & [...]
+MRSA177 & $S$\cite{snyder_patric:_2007}\cellcolor{green} & $R$\cite{snyder_patric:_2007}\cellcolor{red} &  & $S$\cite{snyder_patric:_2007}\cellcolor{green} &  &  &  & $S$\cite{snyder_patric:_2007}\cellcolor{green} & $S$\cite{snyder_patric:_2007}\cellcolor{green} &  &  & $S$\cite{snyder_patric:_2007}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & $S$\cite{snyder_patric:_2007}\cellcolor{green} &  &  &  &  &  &  & $S$\cite{snyder_patric:_2007}\cellcolor{green} &  &  &  &  & [...]
+MRSA252 & $S:0.5$\cite{eyyunni_network_2011}\cellcolor{green} & $R$\cite{holden_complete_2004}\cellcolor{red} & $S$\cite{holden_complete_2004}\cellcolor{green} & $R:>16$\cite{eyyunni_network_2011}\cellcolor{red}$R$\cite{holden_complete_2004}\cellcolor{red} & $R:>4$\cite{eyyunni_network_2011}\cellcolor{red} & $R$\cite{holden_complete_2004}\cellcolor{red}$R:>8$\cite{eyyunni_network_2011}\cellcolor{red} & $R:>16$\cite{eyyunni_network_2011}\cellcolor{red} & $S$\cite{holden_complete_2004}\cel [...]
+MSHR1132 &  &  &  &  &  &  & $R$\cite{holt_very_2011}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+MSSA476 & $S:1$\cite{eyyunni_network_2011}\cellcolor{green} & $S$\cite{holden_complete_2004}\cellcolor{green} & $S$\cite{holden_complete_2004}\cellcolor{green} & $S:0.25$\cite{eyyunni_network_2011}\cellcolor{green}$S$\cite{holden_complete_2004}\cellcolor{green} & $S:0.06$\cite{eyyunni_network_2011}\cellcolor{green} & $S$\cite{holden_complete_2004}\cellcolor{green}$S:0.5$\cite{eyyunni_network_2011}\cellcolor{green} & $S:0.5$\cite{eyyunni_network_2011}\cellcolor{green} & $S:1$\cite{eyyunni [...]
+MW2 & $S:1$\cite{eyyunni_network_2011}\cellcolor{green}$S:1$\cite{laplante_activities_2008}\cellcolor{green} & $R$\cite{eyyunni_network_2011}\cellcolor{red} & $R:32$\cite{eyyunni_network_2011}\cellcolor{red} & $S:0.5$\cite{eyyunni_network_2011}\cellcolor{green} & $S:0.12$\cite{eyyunni_network_2011}\cellcolor{green}$S:0.125$\cite{laplante_activities_2008}\cellcolor{green} & $S:0.5$\cite{laplante_activities_2008}\cellcolor{green}$S:0.5$\cite{eyyunni_network_2011}\cellcolor{green} & $R:>16$ [...]
+Mu3 & $S:2$\cite{neoh_mutated_2008}\cellcolor{green}$S:2$\cite{tenover_characterization_1998}\cellcolor{green}$S:2$\cite{kuroda_identification_2000}\cellcolor{green}$S:3$\cite{hanaki_activated_1998}\cellcolor{green} & $R$\cite{neoh_mutated_2008}\cellcolor{red} & $R$\cite{tenover_characterization_1998}\cellcolor{red} & $R$\cite{tenover_characterization_1998}\cellcolor{red} & $R$\cite{tenover_characterization_1998}\cellcolor{red} & $R$\cite{tenover_characterization_1998}\cellcolor{red} & $ [...]
+Mu50 & $I:8$\cite{eyyunni_network_2011}\cellcolor{yellow}$I:6$\cite{cui_contribution_2009}\cellcolor{yellow}$I:8$\cite{kuroda_identification_2000}\cellcolor{yellow}$I:8$\cite{brackman_quorum_2011}\cellcolor{yellow}$I:8$\cite{hershberger_evaluation_1999}\cellcolor{yellow}$I:8$\cite{meehl_interaction_2007}\cellcolor{yellow}$I:8$\cite{hanaki_activated_1998}\cellcolor{yellow}$I:8$\cite{tenover_characterization_1998}\cellcolor{yellow}$I:4$\cite{neoh_mutated_2008}\cellcolor{yellow} & $R:512$\c [...]
+Mu50-omega & $S:0.5$\cite{cui_contribution_2009}\cellcolor{green}$S:0.5$\cite{kuroda_identification_2000}\cellcolor{green} & $R:>256$\cite{cui_contribution_2009}\cellcolor{red} & $R:>32$\cite{cui_contribution_2009}\cellcolor{red} & $R:>32$\cite{cui_contribution_2009}\cellcolor{red} & $R:>256$\cite{cui_contribution_2009}\cellcolor{red} & $R:>256$\cite{cui_contribution_2009}\cellcolor{red} & $R:>8$\cite{cui_contribution_2009}\cellcolor{red} & $R:64$\cite{cui_contribution_2009}\cellcolor{re [...]
+N315 & $S:0.5$\cite{neoh_mutated_2008}\cellcolor{green}$S:0.5$\cite{kuroda_two-component_2003}\cellcolor{green}$S:0.5$\cite{eyyunni_network_2011}\cellcolor{green} & $R:4$\cite{kuroda_whole_2001}\cellcolor{red}$R$\cite{kuroda_whole_2001}\cellcolor{red} & $S:\leq4$\cite{beltramini_modulation_2009}\cellcolor{green} & $S:0.5$\cite{eyyunni_network_2011}\cellcolor{green} & $R:>4$\cite{eyyunni_network_2011}\cellcolor{red}$R:>4$\cite{beltramini_modulation_2009}\cellcolor{red} & $R:>4$\cite{beltr [...]
+NCTC 8325 & $S:1$\cite{eyyunni_network_2011}\cellcolor{green} & $S$\cite{xue_sequence_2011}\cellcolor{green} & $S:0.25$\cite{oliva_anti-staphylococcal_2004}\cellcolor{green}$S:1.5$\cite{mcaleese_analysis_2003}\cellcolor{green} & $S:2$\cite{oliva_anti-staphylococcal_2004}\cellcolor{green}$S:0.25$\cite{eyyunni_network_2011}\cellcolor{green} & $S:0.06$\cite{eyyunni_network_2011}\cellcolor{green} & $S:0.25$\cite{eyyunni_network_2011}\cellcolor{green} & $S:0.25$\cite{eyyunni_network_2011}\cel [...]
+Newman & $S:0.5$\cite{bikels-goshen_staphylococcal_2010}\cellcolor{green}$S:1$\cite{pietiainen_transcriptome_2009}\cellcolor{green}$S:2$\cite{desbois_wax_2011}\cellcolor{green} & $S$\cite{baba_genome_2008}\cellcolor{green} & $S:1.5$\cite{mcaleese_analysis_2003}\cellcolor{green} & $S:0.125$\cite{burnside_regulation_2010}\cellcolor{green} &  &  & $S:0.25$\cite{bikels-goshen_staphylococcal_2010}\cellcolor{green} &  &  &  &  &  & $S:2$\cite{desbois_wax_2011}\cellcolor{green}$S:2.5$\cite{piet [...]
+PPUKM-261-2009 &  & $R$\cite{neoh_draft_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+PPUKM-332-2009 &  & $R$\cite{neoh_draft_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+PPUKM-377-2009 &  & $R$\cite{neoh_draft_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+PPUKM-775-2009 &  & $R$\cite{neoh_draft_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+RF122 &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & $R:64$\cite{herron-olson_molecular_2007}\cellcolor{red} &  &  & \\ \hline
+RN4220 & $S:1$\cite{bikels-goshen_staphylococcal_2010}\cellcolor{green} & $S:2$\cite{lee_phenotypic_1999}\cellcolor{green}$S$\cite{pucci_direct_2002}\cellcolor{green} & $S$\cite{coleman_susceptibility_1985}\cellcolor{green} & $S:0.5$\cite{ferrero_analysis_1995}\cellcolor{green}$S:0.39$\cite{yamada_quinolone_1997}\cellcolor{green} & $S$\cite{daurel_differences_2008}\cellcolor{green} & $S$\cite{daurel_differences_2008}\cellcolor{green}$S:0.25$\cite{ferrero_analysis_1995}\cellcolor{green} & [...]
+SA16 &  & $R$\cite{dabul_draft_2013}\cellcolor{red} &  & $R$\cite{dabul_draft_2013}\cellcolor{red} & $R$\cite{dabul_draft_2013}\cellcolor{red} & $R$\cite{dabul_draft_2013}\cellcolor{red} & $R$\cite{dabul_draft_2013}\cellcolor{red} &  &  &  &  &  & $S:1$\cite{dabul_draft_2013}\cellcolor{green} &  & $R$\cite{dabul_draft_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  & $S:3$\cite{dabul_draft_2013}\cellcolor{green} &  &  &  &  &  &  & $S:0.75$\cite{dabul_draft_2013}\cellcolor{green [...]
+SA40 &  & $R$\cite{chen_characterization_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+SA957 &  & $R$\cite{chen_characterization_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+ST398 & $S$\cite{ekkelenkamp_endocarditis_2006}\cellcolor{green} & $R$\cite{schijffelen_whole_2010}\cellcolor{red} & $R$\cite{schijffelen_whole_2010}\cellcolor{red} & $R$\cite{schijffelen_whole_2010}\cellcolor{red} & $S$\cite{ekkelenkamp_endocarditis_2006}\cellcolor{green} & $S$\cite{ekkelenkamp_endocarditis_2006}\cellcolor{green} & $R$\cite{smith_methicillinresistant_2009}\cellcolor{red} &  &  &  &  & $S$\cite{ekkelenkamp_endocarditis_2006}\cellcolor{green} &  &  & $R$\cite{smith_methic [...]
+T0131 &  & $R$\cite{li_complete_2011}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+TCH60 &  & $R$\cite{molestina_bei_2010}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+TW20 & $S:2$\cite{edgeworth_outbreak_2007}\cellcolor{green} & $R$\cite{edgeworth_outbreak_2007}\cellcolor{red} & $R$\cite{edgeworth_outbreak_2007}\cellcolor{red} & $R$\cite{edgeworth_outbreak_2007}\cellcolor{red} &  & $R$\cite{edgeworth_outbreak_2007}\cellcolor{red} &  & $R$\cite{edgeworth_outbreak_2007}\cellcolor{red} &  &  & $R$\cite{edgeworth_outbreak_2007}\cellcolor{red} & $S$\cite{edgeworth_outbreak_2007}\cellcolor{green} &  &  & $R$\cite{edgeworth_outbreak_2007}\cellcolor{red} &  & [...]
+USA300 FPR3757 & $S:2$\cite{kennedy_complete_2010}\cellcolor{green} & $R$\cite{diep_complete_2006}\cellcolor{red} & $R:64$\cite{kennedy_complete_2010}\cellcolor{red}$R$\cite{diep_complete_2006}\cellcolor{red} & $R:64$\cite{kennedy_complete_2010}\cellcolor{red}$R$\cite{diep_complete_2006}\cellcolor{red} & $R:>64$\cite{kennedy_complete_2010}\cellcolor{red}$R$\cite{diep_complete_2006}\cellcolor{red} & $R:>64$\cite{kennedy_complete_2010}\cellcolor{red}$R$\cite{diep_complete_2006}\cellcolor{r [...]
+USA300 TCH1516 & $S:1$\cite{highlander_subtle_2007}\cellcolor{green} & $R$\cite{highlander_subtle_2007}\cellcolor{red} & $S:<0.125$\cite{highlander_subtle_2007}\cellcolor{green} & $S:0.5$\cite{highlander_subtle_2007}\cellcolor{green} & $S:0.06$\cite{highlander_subtle_2007}\cellcolor{green} & $R:64$\cite{highlander_subtle_2007}\cellcolor{red} & $R:128$\cite{highlander_subtle_2007}\cellcolor{red} & $S:1$\cite{highlander_subtle_2007}\cellcolor{green} &  & $R:>128$\cite{highlander_subtle_200 [...]
+USA300 TCH959 & $S:1$\cite{highlander_subtle_2007}\cellcolor{green} & $S$\cite{highlander_subtle_2007}\cellcolor{green} & $S:<0.125$\cite{highlander_subtle_2007}\cellcolor{green} & $S:0.25$\cite{highlander_subtle_2007}\cellcolor{green} & $S:0.06$\cite{highlander_subtle_2007}\cellcolor{green} & $S:<0.125$\cite{highlander_subtle_2007}\cellcolor{green} & $S:1$\cite{highlander_subtle_2007}\cellcolor{green} & $S:1$\cite{highlander_subtle_2007}\cellcolor{green} &  & $S:4$\cite{highlander_subtl [...]
+VC40 & $R$\cite{sass_genome_2012}\cellcolor{red}$R:32$\cite{schaaff_elevated_2002}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  & $R$\cite{sass_genome_2012}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  & $S:8$\cite{schaaff_elevated_2002}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+WBG10049 &  & $R$\cite{robinson_re-emergence_2005}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+WW2703/97 &  & $R$\cite{robinson_re-emergence_2005}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+Z172 & $I$\cite{chen_complete_2013}\cellcolor{yellow} & $R$\cite{chen_complete_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  & $I$\cite{chen_complete_2013}\cellcolor{yellow} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+aureus 118 &  & $R$\cite{khedkar_draft_2012}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+aureus VRS1 & $R$\cite{kos_comparative_2012}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+aureus VRS10 & $R$\cite{kos_comparative_2012}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+aureus VRS11a & $R$\cite{kos_comparative_2012}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+aureus VRS11b & $R$\cite{kos_comparative_2012}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+aureus VRS2 & $R$\cite{kos_comparative_2012}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+aureus VRS3a & $R$\cite{kos_comparative_2012}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+aureus VRS4 & $R$\cite{kos_comparative_2012}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+aureus VRS5 & $R$\cite{kos_comparative_2012}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+aureus VRS6 & $R$\cite{kos_comparative_2012}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+aureus VRS7 & $R$\cite{kos_comparative_2012}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+aureus VRS8 & $R$\cite{kos_comparative_2012}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+aureus VRS9 & $R$\cite{kos_comparative_2012}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+\end{tabular}
+\end{table}
+\small
+\section*{Comments}
+\begin{itemize}
+\item legend: red: drug resistant; green: drug susceptible; yellow: intermediate drug resistant; gray: contrary information of no CLSI interpretation; white: not information is found,
+\item drug susceptibility information for the strain TW20 was confirmed by e-mail correspondence with the authors of \cite{edgeworth_outbreak_2007}
+\item drug susceptibility information for the strain ST398 was confirmed by e-mail correspondence with the authors of \cite{schijffelen_whole_2010}
+\item accordingly to \cite{herron-olson_molecular_2007} 'ET3-1 (RF122) is susceptible to most antibiotics, excluding Spectinomycin',
+according to \cite{mwangi_tracking_2007} JH1 is susceptible to Rifampicin, with MIC 0.012 $\mu g/ml$. We use information from \cite{mwangi_tracking_2007}, treating it as more reliable, because this study is newer and provides the exact MIC value.
+\end{itemize}
+\bibliography{references}
+\bibliographystyle{plain}
+\end{document}
diff --git a/other/res_data/sau/references.bib b/other/res_data/sau/references.bib
new file mode 100644
index 0000000..e31ac36
--- /dev/null
+++ b/other/res_data/sau/references.bib
@@ -0,0 +1,1482 @@
+
+ at article{kuroda_whole_2001,
+	title = {Whole genome sequencing of meticillin-resistant Staphylococcus aureus},
+	volume = {357},
+	issn = {0140-6736},
+	url = {http://www.sciencedirect.com/science/article/pii/S0140673600044032},
+	doi = {10.1016/S0140-6736(00)04403-2},
+	abstract = {{SummaryBackground}
+Staphylococcus aureus is one of the major causes of community-acquired and hospital-acquired infections. It produces numerous toxins including superantigens that cause unique disease entities such as toxic-shock syndrome and staphylococcal scarlet fever, and has acquired resistance to practically all antibiotics. Whole genome analysis is a necessary step towards future development of countermeasures against this organism.
+Methods
+Whole genome sequences of two related S aureus strains (N315 and Mu50) were determined by shot-gun random sequencing. N315 is a meticillin-resistant S aureus ({MRSA)} strain isolated in 1982, and Mu50 is an {MRSA} strain with vancomycin resistance isolated in 1997. The open reading frames were identified by use of {GAMBLER} and {GLIMMER} programs, and annotation of each was done with a {BLAST} homology search, motif analysis, and protein localisation prediction.
+Findings
+The Staphylococcus genome was composed of a complex mixture of genes, many of which seem to have been acquired by lateral gene transfer. Most of the antibiotic resistance genes were carried either by plasmids or by mobile genetic elements including a unique resistance island. Three classes of new pathogenicity islands were identified in the genome: a toxic-shock-syndrome toxin island family, exotoxin islands, and enterotoxin islands. In the latter two pathogenicity islands, clusters of e [...]
+Interpretation
+The remarkable ability of S aureus to acquire useful genes from various organisms was revealed through the observation of genome complexity and evidence of lateral gene transfer. Repeated duplication of genes encoding superantigens explains why S aureus is capable of infecting humans of diverse genetic backgrounds, eliciting severe immune reactions. Investigation of many newly identified gene products, including the 70 putative virulence factors, will greatly improve our understanding of [...]
+	number = {9264},
+	urldate = {2012-03-13},
+	journal = {The Lancet},
+	author = {Kuroda, Makoto and Ohta, Toshiko and Uchiyama, Ikuo and Baba, Tadashi and Yuzawa, Harumi and Kobayashi, Ichizo and Cui, Longzhu and Oguchi, Akio and Aoki, Ken-ichi and Nagai, Yoshimi and Lian, {JianQi} and Ito, Teruyo and Kanamori, Mutsumi and Matsumaru, Hiroyuki and Maruyama, Atsushi and Murakami, Hiroyuki and Hosoyama, Akira and Mizutani-Ui, Yoko and Takahashi, Noriko K and Sawano, Toshihiko and Inoue, Ryu-ichi and Kaito, Chikara and Sekimizu, Kazuhisa and Hirakawa, Hideki a [...]
+	month = apr,
+	year = {2001},
+	pages = {1225--1240},
+	file = {Kuroda et al. - 2001 - Whole genome sequencing of meticillin-resistant St.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\HINAWEXA\Kuroda et al. - 2001 - Whole genome sequencing of meticillin-resistant St.pdf:application/pdf;ScienceDirect Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\JM766XE8\Kuroda et al. - 2001 - Whole genome sequencing of meticillin-resistant St:}
+},
+
+ at article{peleg_whole_2012,
+	title = {Whole Genome Characterization of the Mechanisms of Daptomycin Resistance in Clinical and Laboratory Derived Isolates of Staphylococcus aureus},
+	volume = {7},
+	url = {UR  - http://dx.doi.org/10.1371/journal.pone.0028316,http://dx.doi.org/10.1371/journal.pone.0028316},
+	doi = {10.1371/journal.pone.0028316},
+	abstract = {Background          Daptomycin remains one of our last-line anti-staphylococcal agents. This study aims to characterize the genetic evolution to daptomycin resistance in S. aureus.                          Methods          Whole genome sequencing was performed on a unique collection of isogenic, clinical (21 strains) and laboratory (12 strains) derived strains that had been exposed to daptomycin and developed daptomycin-nonsusceptibility. Electron microscopy ({EM)} and lipid [...]
+	number = {1},
+	urldate = {2012-02-10},
+	journal = {{PLoS} {ONE}},
+	author = {Peleg, Anton Y. and Miyakis, Spiros and Ward, Doyle V. and Earl, Ashlee M. and Rubio, Aileen and Cameron, David R. and Pillai, Satish and Moellering, Robert C. and Eliopoulos, George M.},
+	month = jan,
+	year = {2012},
+	pages = {e28316},
+	file = {journal.pone.0028316.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\IUSXNQE8\journal.pone.0028316.pdf:application/pdf;PLoS Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\ZRE3J9EG\infodoi10.1371journal.pone.html:text/html}
+},
+
+ at article{schijffelen_whole_2010,
+	title = {Whole genome analysis of a livestock-associated methicillin-resistant Staphylococcus aureus {ST398} isolate from a case of human endocarditis},
+	volume = {11},
+	copyright = {http://creativecommons.org/licenses/by/2.0/},
+	issn = {1471-2164},
+	url = {http://www.biomedcentral.com/1471-2164/11/376},
+	doi = {10.1186/1471-2164-11-376},
+	language = {en},
+	number = {1},
+	urldate = {2012-03-13},
+	journal = {{BMC} Genomics},
+	author = {Schijffelen, Maarten J and Boel, {CH} Edwin and van Strijp, Jos {AG} and Fluit, Ad C},
+	month = jun,
+	year = {2010},
+	keywords = {{ST398}},
+	pages = {376},
+	file = {Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\ZZRMQZNT\376.html:text/html}
+},
+
+ at article{desbois_wax_2011,
+	title = {Wax moth larva (Galleria mellonella): an in vivo model for assessing the efficacy of antistaphylococcal agents},
+	issn = {0305-7453, 1460-2091},
+	shorttitle = {Wax moth larva (Galleria mellonella)},
+	url = {http://jac.oxfordjournals.org/content/early/2011/05/27/jac.dkr198},
+	doi = {10.1093/jac/dkr198},
+	abstract = {Objectives To investigate whether the wax moth larva, Galleria mellonella, is a suitable host for assessing the in vivo efficacy of antistaphylococcal agents against Staphylococcus aureus and methicillin-resistant S. aureus ({MRSA)} infections.
+Methods Wax moth larvae were infected with increasing doses of S. aureus to investigate the effect of inoculum size on larval survival. In addition, infected wax moth larvae were treated with daptomycin, penicillin or vancomycin to examine whether these agents were effective against S. aureus and {MRSA} infections in vivo.
+Results Increasing inoculum doses of live S. aureus cells resulted in greater larval mortality, but heat-killed bacteria and cell-free culture filtrates had no detrimental effects on survival. Larval mortality rate also depended on the post-inoculation incubation temperature. After larvae were infected with S. aureus, larval survival was enhanced by administering the antistaphylococcal antibiotics daptomycin or vancomycin. Larval survival increased with increasing doses of the antibiotic [...]
+Conclusions This is the first report to demonstrate that antibiotics are effective in the wax moth larva model for the treatment of infections caused by Gram-positive bacteria. The new wax moth larva model is a useful preliminary model for assessing the in vivo efficacy of candidate antistaphylococcal agents before proceeding to mammalian studies, which may reduce animal experimentation and expense.},
+	language = {en},
+	urldate = {2012-03-13},
+	journal = {Journal of Antimicrobial Chemotherapy},
+	author = {Desbois, Andrew P and Coote, Peter J},
+	month = may,
+	year = {2011},
+	keywords = {antibacterial, antimicrobial, daptomycin, drug discovery, drug resistance, insect infection model, {MRSA}, Newman, Staphylococcus aureus, vancomycin},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\3JNNQM8M\Desbois i Coote - 2011 - Wax moth larva (Galleria mellonella) an in vivo m.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\43AF33HU\jac.dkr198.html:text/html}
+},
+
+ at article{kuroda_two-component_2003,
+	title = {Two-component system {VraSR} positively modulates the regulation of cell-wall biosynthesis pathway in Staphylococcus aureus},
+	volume = {49},
+	issn = {0950-{382X}},
+	url = {http://www.ncbi.nlm.nih.gov/pubmed/12864861},
+	abstract = {{DNA} microarray covering the whole genome of Staphylococcus aureus strain N315 was prepared to investigate transcription profiles. The microarray analyses revealed that vancomycin induces transcription of 139 genes. Forty-six genes among them failed to be induced in the {vraSR} null mutant {KVR.} Part of the genes regulated by {VraSR} system is associated with cell-wall biosynthesis, such as {PBP2}, {SgtB} and {MurZ.} Other cell-wall synthesis inhibitors also induced {VraSR [...]
+	number = {3},
+	urldate = {2012-03-13},
+	journal = {Molecular Microbiology},
+	author = {Kuroda, Makoto and Kuroda, Hiroko and Oshima, Taku and Takeuchi, Fumihiko and Mori, Hirotada and Hiramatsu, Keiichi},
+	month = aug,
+	year = {2003},
+	note = {{PMID:} 12864861},
+	keywords = {Anti-Bacterial Agents, Bacitracin, Bacterial Proteins, beta-Lactam Resistance, Ceftizoxime, Cell Wall, {DNA-Binding} Proteins, Drug Resistance, Multiple, Bacterial, Fosfomycin, Gene Expression Profiling, Gene Expression Regulation, Bacterial, Imipenem, Methicillin Resistance, Microbial Sensitivity Tests, Oligonucleotide Array Sequence Analysis, Oxacillin, Receptors, Cell Surface, {RNA}, Bacterial, {RNA}, Messenger, Staphylococcus aureus, Teicoplanin, Transcription, Genetic,  [...]
+	pages = {807--821}
+},
+
+ at article{renzoni_transcriptomic_2006,
+	title = {Transcriptomic and Functional Analysis of an Autolysis-Deficient, Teicoplanin-Resistant Derivative of Methicillin-Resistant Staphylococcus aureus},
+	volume = {50},
+	issn = {0066-4804},
+	url = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1563528/},
+	doi = {10.1128/AAC.00113-06},
+	abstract = {The molecular basis of glycopeptide-intermediate S. aureus ({GISA)} isolates is not well defined though frequently involves phenotypes such as thickened cell walls and decreased autolysis. We have exploited an isogenic pair of teicoplanin-susceptible (strain {MRGR3)} and teicoplanin-resistant (strain 14-4) methicillin-resistant S. aureus strains for detailed transcriptomic profiling and analysis of altered autolytic properties. Strain 14-4 displayed markedly deficient Triton [...]
+	number = {9},
+	urldate = {2014-02-25},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Renzoni, Adriana and Barras, Christine and Francois, Patrice and Charbonnier, Yvan and Huggler, Elzbieta and Garzoni, Christian and Kelley, William L. and Majcherczyk, Paul and Schrenzel, Jacques and Lew, Daniel P. and Vaudaux, Pierre},
+	month = sep,
+	year = {2006},
+	note = {{PMID:} 16940101
+{PMCID:} {PMC1563528}},
+	pages = {3048--3061},
+	file = {PubMed Central Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\Q3FC6EDG\Renzoni et al. - 2006 - Transcriptomic and Functional Analysis of an Autol.pdf:application/pdf}
+},
+
+ at article{pietiainen_transcriptome_2009,
+	title = {Transcriptome analysis of the responses of Staphylococcus aureus to antimicrobial peptides and characterization of the roles of {vraDE} and {vraSR} in antimicrobial resistance},
+	volume = {10},
+	issn = {1471-2164},
+	doi = {10.1186/1471-2164-10-429},
+	journal = {{BMC} Genomics},
+	author = {Pietiainen, Milla and Francois, Patrice and Hyyrylainen, Hanne-Leena and Tangomo, Manuela and Sass, Vera and Sahl, Hans-Georg and Schrenzel, Jacques and Kontinen, Vesa P},
+	month = sep,
+	year = {2009},
+	note = {{PMID:} 19751498
+{PMCID:} 2748101},
+	pages = {429},
+	file = {Pietiäinen et al. - 2009 - Transcriptome analysis of the responses of Staphyl.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\VNMQ58U5\Pietiäinen et al. - 2009 - Transcriptome analysis of the responses of Staphyl.pdf:application/pdf}
+},
+
+ at article{mwangi_tracking_2007,
+	title = {Tracking the in vivo evolution of multidrug resistance in Staphylococcus aureus by whole–genome sequencing},
+	volume = {104},
+	number = {22},
+	journal = {Proceedings of the National Academy of Sciences},
+	author = {Mwangi, M. M. and Wu, S. W. and Zhou, Y. and Sieradzki, K. and de Lencastre, H. and Richardson, P. and Bruce, D. and Rubin, E. and Myers, E. and Siggia, E. D. and Tomasz, A.},
+	month = may,
+	year = {2007},
+	pages = {9451–9456}
+},
+
+ at article{dickgiesser_toxic_1987,
+	title = {Toxic shock syndrome toxin-1 ({TSST-1):} influence of its production by subinhibitory antibiotic concentrations},
+	volume = {15},
+	issn = {0300-8126},
+	shorttitle = {Toxic shock syndrome toxin-1 ({TSST-1)}},
+	url = {http://www.ncbi.nlm.nih.gov/pubmed/3692606},
+	abstract = {Using seven different toxic shock syndrome toxin-1 ({TSST-1)} producing Staphylococcus aureus strains, we examined the influence on growth and toxin production of subinhibitory concentrations of clindamycin, erythromycin, lincomycin, kanamycin, tetracycline and tunicamycin. The behaviour of six S. aureus (= {W/MT-strains)} was identical, the one of S. aureus {MN8} was different in part. Using the different subinhibitory antibiotic concentrations, bacterial growth was inhibit [...]
+	number = {5},
+	urldate = {2012-03-13},
+	journal = {Infection},
+	author = {Dickgiesser, N and Wallach, U},
+	year = {1987},
+	note = {{PMID:} 3692606},
+	keywords = {Anti-Bacterial Agents, Bacterial Toxins, Clindamycin, Enterotoxins, Erythromycin, Kanamycin, Lincomycin, {MN8}, Staphylococcus aureus, Superantigens, Tetracycline, Tunicamycin},
+	pages = {351--353},
+	file = {fulltext.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\P3RZDW62\fulltext.pdf:application/pdf}
+},
+
+ at article{crisostomo_evolution_2001,
+	title = {The evolution of methicillin resistance in Staphylococcus  aureus: Similarity of genetic backgrounds in historically early  methicillin-susceptible and -resistant isolates and contemporary epidemic clones},
+	volume = {98},
+	issn = {0027-8424},
+	shorttitle = {The evolution of methicillin resistance in Staphylococcus  aureus},
+	doi = {10.1073/pnas.161272898},
+	number = {17},
+	journal = {Proceedings of the National Academy of Sciences of the United States of America},
+	author = {Crisostomo, M. Inês and Westh, Henrik and Tomasz, Alexander and Chung, Marilyn and Oliveira, Duarte C. and de Lencastre, Herminia},
+	month = aug,
+	year = {2001},
+	note = {{PMID:} 11481426
+{PMCID:} 55544},
+	pages = {9865--9870},
+	file = {PubMed Central Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\5KNI8H94\Crisóstomo et al. - 2001 - The evolution of methicillin resistance in Staphyl.pdf:application/pdf}
+},
+
+ at article{wyke_synthesis_1982,
+	title = {Synthesis of peptidoglycan in vivo in methicillin-resistant Staphylococcus aureus},
+	volume = {127},
+	issn = {0014-2956},
+	abstract = {The cell-wall composition and degree of cross-linking of peptidoglycan in a strain of Staphylococcus aureus (strain {MR-1)} which is highly resistant to methicillin were similar to those of other strains of S. aureus. When the organism was grown in the presence of very low concentrations of methicillin (equivalent to 3 x 10(-4) x minimum growth-inhibitory concentration [{MGIC]} there was a large decrease in the degree of cross-linking of the peptidoglycan. Increasing concent [...]
+	language = {eng},
+	number = {3},
+	journal = {European journal of biochemistry / {FEBS}},
+	author = {Wyke, A W and Ward, J B and Hayes, M V},
+	month = oct,
+	year = {1982},
+	note = {{PMID:} 7173195},
+	keywords = {Bacterial Proteins, Biopolymers, Carrier Proteins, Cell Wall, Hexosyltransferases, Methicillin, Muramoylpentapeptide Carboxypeptidase, Penicillin Resistance, Penicillin-Binding Proteins, Peptidoglycan, Peptidyl Transferases, Staphylococcus aureus},
+	pages = {553--558}
+},
+
+ at article{coleman_susceptibility_1985,
+	title = {Susceptibility to Antimicrobial Agents and Analysis of Plasmids in Gentamicin- and Methicillin-Resistant Staphylococcus Aureus from Dublin Hospitals},
+	volume = {20},
+	issn = {0022-2615, 1473-5644},
+	url = {http://jmm.sgmjournals.org/content/20/2/157},
+	doi = {10.1099/00222615-20-2-157},
+	language = {en},
+	number = {2},
+	urldate = {2012-03-24},
+	journal = {Journal of Medical Microbiology},
+	author = {Coleman, D. C and Pomeroy, H. and Estridge, J. K and Keane, C. T and Cafferkey, M. T and Hone, R. and Foster, T. J},
+	month = oct,
+	year = {1985},
+	pages = {157--167},
+	file = {Coleman et al. - 1985 - Susceptibility to Antimicrobial Agents and Analysi.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\79XVQVZT\Coleman et al. - 1985 - Susceptibility to Antimicrobial Agents and Analysi.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\WW8FCH8T\Coleman et al. - 1985 - Susceptibility to Antimicrobial Agents and Analysi.html:text/html}
+},
+
+ at article{highlander_subtle_2007,
+	title = {Subtle genetic changes enhance virulence of methicillin resistant and sensitive Staphylococcus aureus.},
+	volume = {7},
+	number = {1},
+	journal = {{BMC} microbiology},
+	author = {Highlander, Sarah K. and Hultén, Kristina G. and Qin, Xiang and Jiang, Huaiyang and Yerrapragada, Shailaja and Mason, Edward O. and Shang, Yue and Williams, Tiffany M. and Fortunov, Régine M. and Liu, Yamei and Igboeli, Okezie and Petrosino, Joseph and Tirumalai, Madhan and Uzman, Akif and Fox, George E. and Cardenas, Ana Maria M. and Muzny, Donna M. and Hemphill, Lisa and Ding, Yan and Dugan, Shannon and Blyth, Peter R. and Buhay, Christian J. and Dinh, Huyen H. and Hawes, Al [...]
+	month = nov,
+	year = {2007},
+	pages = {99+}
+},
+
+ at book{crossley_staphylococci_2010,
+	address = {Hoboken ({NJ);} Chichester (West Sussex)},
+	title = {Staphylococci in human disease},
+	isbn = {9781405163323 1405163321},
+	language = {English},
+	publisher = {Wiley-Blackwell},
+	author = {Crossley, Kent B. and Jefferson, Kimberly K. and Archer, Gordon L. and Fowler, Vance G.},
+	year = {2010}
+},
+
+ at article{bikels-goshen_staphylococcal_2010,
+	title = {Staphylococcal strains adapted to epigallocathechin gallate ({EGCG)} show reduced susceptibility to vancomycin, oxacillin and ampicillin, increased heat tolerance, and altered cell morphology},
+	volume = {138},
+	issn = {1879-3460},
+	doi = {10.1016/j.ijfoodmicro.2010.01.011},
+	abstract = {Epigallocathechin gallate ({EGCG)} possesses many beneficial properties, such as anticarcinogenicity, antiatherogenicity, as well as antioxidant and antibacterial activities. However, the bacterial response to sublethal concentrations of {EGCG} has not been studied. Here we investigated whether short exposure of staphylococci strains to sublethal doses of {EGCG} can lead to adaptation and cross-resistance. Two-hour exposure of five strains to 20 microg/ml of {EGCG} did not a [...]
+	language = {eng},
+	number = {1-2},
+	journal = {International journal of food microbiology},
+	author = {Bikels-Goshen, Tamar and Landau, Elad and Saguy, Sam and Shapira, Roni},
+	month = mar,
+	year = {2010},
+	note = {{PMID:} 20132996},
+	keywords = {Adaptation, Physiological, Ampicillin, Anti-Bacterial Agents, Catechin, Cell Wall, Drug Resistance, Multiple, Bacterial, Hot Temperature, Microbial Sensitivity Tests, Microscopy, Electron, Transmission, Oxacillin, Staphylococcus aureus, vancomycin},
+	pages = {26--31}
+},
+
+ at article{xue_sequence_2011,
+	title = {Sequence Diversities of Serine-Aspartate Repeat Genes among Staphylococcus aureus Isolates from Different Hosts Presumably by Horizontal Gene Transfer},
+	volume = {6},
+	url = {UR  - http://dx.doi.org/10.1371/journal.pone.0020332,http://dx.doi.org/10.1371/journal.pone.0020332},
+	doi = {10.1371/journal.pone.0020332},
+	abstract = {Background
+          Horizontal gene transfer ({HGT)} is recognized as one of the major forces for bacterial genome evolution. Many clinically important bacteria may acquire virulence factors and antibiotic resistance through {HGT.} The comparative genomic analysis has become an important tool for identifying {HGT} in emerging pathogens. In this study, the Serine-Aspartate Repeat (Sdr) family has been compared among different sources of Staphylococcus aureus (S. aureus) to discover sequence diversi [...]
+        
+        
+          {Methodology/Principal} Findings
+          Four sdr genes were analyzed for 21 different S. aureus strains and 218 mastitis-associated S. aureus isolates from Canada. Comparative genomic analyses revealed that S. aureus strains from bovine mastitis ({RF122} and mastitis isolates in this study), ovine mastitis ({ED133)}, pig ({ST398)}, chicken ({ED98)}, and human methicillin-resistant S. aureus ({MRSA)} ({TCH130}, {MRSA252}, Mu3, Mu50, N315, 04-02981, {JH1} and {JH9)} were highly associated with one another, presumably d [...]
+        
+        
+          Conclusions
+          Certain sdr gene sequences were shared in S. aureus strains and isolates from different species presumably due to {HGT.} Our results also suggest that the distributional assay of virulence factors should detect the full sequences or full functional regions of these factors. The traditional assay using short conserved regions may not be accurate or credible. These findings have important implications with regard to animal husbandry practices that may inadvertently enhance the co [...]
+	number = {5},
+	urldate = {2012-03-13},
+	journal = {{PLoS} {ONE}},
+	author = {Xue, Huping and Lu, Hong and Zhao, Xin},
+	month = may,
+	year = {2011},
+	pages = {e20332},
+	file = {PLoS Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\EHWIAEVB\infodoi10.1371journal.pone.html:text/html;Xue et al. - 2011 - Sequence Diversities of Serine-Aspartate Repeat Ge.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\C96KNJ42\Xue et al. - 2011 - Sequence Diversities of Serine-Aspartate Repeat Ge.pdf:application/pdf}
+},
+
+ at article{burnside_regulation_2010,
+	title = {Regulation of Hemolysin Expression and Virulence of Staphylococcus aureus by a {Serine/Threonine} Kinase and Phosphatase},
+	volume = {5},
+	number = {6},
+	journal = {{PLoS} {ONE}},
+	author = {Burnside, Kellie and Lembo, Annalisa and de los Reyes, Melissa and Iliuk, Anton and {BinhTran}, Nguyen-Thao and Connelly, James E. and Lin, Wan-Jung and Schmidt, Byron Z. and Richardson, Anthony R. and Fang, Ferric C. and Tao, Weiguo Andy and Rajagopal, Lakshmi},
+	year = {2010},
+	pages = {e11071}
+},
+
+ at article{robinson_re-emergence_2005,
+	title = {Re-emergence of early pandemic Staphylococcus aureus as a community-acquired meticillin-resistant clone},
+	volume = {365},
+	issn = {1474-{547X}},
+	url = {http://www.ncbi.nlm.nih.gov/pubmed/15811459},
+	doi = {10.1016/S0140-6736(05)74814-5},
+	abstract = {During the 1950s, the notorious penicillin-resistant clone of Staphylococcus aureus known as phage type 80/81 emerged and caused serious hospital-acquired and community-acquired infections worldwide. This clone was largely eliminated in the 1960s, concurrent with the widespread use of penicillinase-resistant beta lactams. We investigated whether early 80/81 isolates had the genes for Panton-Valentine leucocidin, a toxin associated with virulence in healthy young people. Mult [...]
+	number = {9466},
+	urldate = {2012-03-13},
+	journal = {Lancet},
+	author = {Robinson, D Ashley and Kearns, Angela M and Holmes, Anne and Morrison, Donald and Grundmann, Hajo and Edwards, Giles and {O'Brien}, Frances G and Tenover, Fred C and {McDougal}, Linda K and Monk, Alastair B and Enright, Mark C},
+	month = apr,
+	year = {2005},
+	note = {{PMID:} 15811459},
+	keywords = {Australia, Bacterial Toxins, Bacteriophage Typing, Canada, Community-Acquired Infections, Disease Outbreaks, Exotoxins, Genes, Bacterial, Genotype, Humans, Leukocidins, Methicillin Resistance, Staphylococcal Infections, Staphylococcus aureus, Staphylococcus Phages},
+	pages = {1256--1258},
+	file = {Robinson et al. - 2005 - Re-emergence of early pandemic Staphylococcus aure.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\KMN9JDJQ\Robinson et al. - 2005 - Re-emergence of early pandemic Staphylococcus aure.pdf:application/pdf}
+},
+
+ at article{brackman_quorum_2011,
+	title = {Quorum Sensing Inhibitors Increase the Susceptibility of Bacterial Biofilms to Antibiotics In Vitro and In Vivo},
+	volume = {55},
+	number = {6},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Brackman, Gilles and Cos, Paul and Maes, Louis and Nelis, Hans J. and Coenye, Tom},
+	year = {2011},
+	pages = {2655–2661}
+},
+
+ at article{yamada_quinolone_1997,
+	title = {Quinolone Susceptibility of {norA-Disrupted} Staphylococcus Aureus.},
+	volume = {41},
+	issn = {0066-4804, 1098-6596},
+	url = {http://aac.asm.org/content/41/10/2308},
+	abstract = {The {MIC} of norfloxacin for the {norA-disrupted} mutant termed {RDN1}, obtained from quinolone-susceptible Staphylococcus aureus {RN4220}, was eightfold lower than that for {RN4220.} The increase in susceptibility was related to an increase of drug accumulation by {RDN1.} These results indicate that {NorA} plays an important role in the susceptibility of quinolone-susceptible S. aureus to selected quinolones.},
+	language = {en},
+	number = {10},
+	urldate = {2012-03-24},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Yamada, H. and Kurose-Hamada, S. and Fukuda, Y. and Mitsuyama, J. and Takahata, M. and Minami, S. and Watanabe, Y. and Narita, H.},
+	month = oct,
+	year = {1997},
+	pages = {2308--2309},
+	file = {Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\4PWK7VHM\Yamada et al. - 1997 - Quinolone Susceptibility of norA-Disrupted Staphyl.html:text/html;Yamada et al. - 1997 - Quinolone Susceptibility of norA-Disrupted Staphyl.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\6T4BNVKM\Yamada et al. - 1997 - Quinolone Susceptibility of norA-Disrupted Staphyl.pdf:application/pdf}
+},
+
+ at article{lin_proinflammatory_2011,
+	title = {Proinflammatory Exoprotein Characterization of Toxic Shock Syndrome Staphylococcus aureus},
+	volume = {50},
+	issn = {0006-2960},
+	url = {http://dx.doi.org/10.1021/bi200435n},
+	doi = {10.1021/bi200435n},
+	abstract = {Pulsed-field gel electrophoresis ({PFGE)} clonal type {USA200} is the most widely disseminated Staphylococcus aureus colonizer of the nose and is a major cause of toxic shock syndrome ({TSS).} Exoproteins derived from these organisms have been suggested to contribute to their colonization and causation of human diseases but have not been well-characterized. Two representative S. aureus {USA200} isolates, {MNPE} (α-toxin positive) and {CDC587} (α-toxin mutant), isolated from  [...]
+Pulsed-field gel electrophoresis ({PFGE)} clonal type {USA200} is the most widely disseminated Staphylococcus aureus colonizer of the nose and is a major cause of toxic shock syndrome ({TSS).} Exoproteins derived from these organisms have been suggested to contribute to their colonization and causation of human diseases but have not been well-characterized. Two representative S. aureus {USA200} isolates, {MNPE} (α-toxin positive) and {CDC587} (α-toxin mutant), isolated from pulmonary pos [...]
+	number = {33},
+	journal = {Biochemistry},
+	author = {Lin, Ying-Chi and Anderson, Michele J. and Kohler, Petra L. and Strandberg, Kristi L. and Olson, Michael E. and Horswill, Alexander R. and Schlievert, Patrick M. and Peterson, Marnie L.},
+	year = {2011},
+	pages = {7157--7167},
+	file = {ACS Full Text Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\3VKZ9X6I\bi200435n.html:text/html;Lin et al. - 2011 - Proinflammatory Exoprotein Characterization of Tox.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\Q6MMKWVK\Lin et al. - 2011 - Proinflammatory Exoprotein Characterization of Tox.pdf:application/pdf;Proinflammatory Exoprotein Characterization of Toxic Shock Syndrome Staphylococ [...]
+},
+
+ at book{lee_phenotypic_1999,
+	title = {Phenotypic and genetic characterization of borderline oxacillin-resistant Staphylococcus aureus},
+	url = {http://www.synergiescanada.org/theses/otu/14705},
+	publisher = {University of Toronto},
+	author = {Lee, Mark Joon-Sung},
+	year = {1999},
+	file = {Lee - Phenotypic and genetic characterization of borderl.html:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\MPPQRGSQ\Lee - Phenotypic and genetic characterization of borderl.html:text/html}
+},
+
+ at article{snyder_patric:_2007,
+	title = {{PATRIC:} The {VBI} {PathoSystems} Resource Integration Center},
+	volume = {35},
+	issn = {0305-1048},
+	shorttitle = {{PATRIC}},
+	doi = {10.1093/nar/gkl858},
+	abstract = {The {PathoSystems} Resource Integration Center ({PATRIC)} is one of eight Bioinformatics Resource Centers ({BRCs)} funded by the National Institute of Allergy and Infection Diseases ({NIAID)} to create a data and analysis resource for selected {NIAID} priority pathogens, specifically proteobacteria of the genera Brucella, Rickettsia and Coxiella, and corona-, calici- and lyssaviruses and viruses associated with hepatitis A and E. The goal of the project is to provide a compr [...]
+	number = {Database issue},
+	journal = {Nucleic Acids Research},
+	author = {Snyder, E. E. and Kampanya, N. and Lu, J. and Nordberg, E. K. and Karur, H. R. and Shukla, M. and Soneja, J. and Tian, Y. and Xue, T. and Yoo, H. and Zhang, F. and Dharmanolla, C. and Dongre, N. V. and Gillespie, J. J. and Hamelius, J. and Hance, M. and Huntington, K. I. and Jukneliene, D. and Koziski, J. and Mackasmiel, L. and Mane, S. P. and Nguyen, V. and Purkayastha, A. and Shallom, J. and Yu, G. and Guo, Y. and Gabbard, J. and Hix, D. and Azad, A. F. and Baker, S. C. and  [...]
+	month = jan,
+	year = {2007},
+	note = {{PMID:} 17142235
+{PMCID:} 1669763},
+	pages = {D401--D406},
+	file = {PubMed Central Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\DDQWIVFI\Snyder et al. - 2007 - PATRIC The VBI PathoSystems Resource Integration .pdf:application/pdf}
+},
+
+ at misc{eyyunni_network_2011,
+	title = {Network on Antimicrobial Resistance in Staphylococcus aureus},
+	url = {http://www.narsa.net/},
+	abstract = {{NARSA}},
+	author = {Eyyunni, Lakshmi and Pettyjohn, Richard and Sahm, Daniel F.},
+	year = {2011}
+},
+
+ at article{neoh_mutated_2008,
+	title = {Mutated Response Regulator {graR} Is Responsible for Phenotypic Conversion of Staphylococcus aureus from Heterogeneous Vancomycin-Intermediate Resistance to Vancomycin-Intermediate Resistance},
+	volume = {52},
+	issn = {0066-4804},
+	doi = {10.1128/AAC.00534-07},
+	abstract = {Multistep genetic alteration is required for methicillin-resistant Staphylococcus aureus ({MRSA)} to achieve the level of vancomycin resistance of vancomycin-intermediate S. aureus ({VISA).} In the progression of vancomycin resistance, strains with heterogeneous vancomycin resistance, designated hetero-{VISA}, are observed. In studying the whole-genome sequencing of the representative hetero-{VISA} strain Mu3 and comparing it with that of closely related {MRSA} strains Mu50  [...]
+	number = {1},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Neoh, Hui-min and Cui, Longzhu and Yuzawa, Harumi and Takeuchi, Fumihiko and Matsuo, Miki and Hiramatsu, Keiichi},
+	month = jan,
+	year = {2008},
+	note = {{PMID:} 17954695
+{PMCID:} 2223914},
+	pages = {45--53},
+	file = {Neoh et al. - 2008 - Mutated Response Regulator graR Is Responsible for.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\9NHT3MBT\Neoh et al. - 2008 - Mutated Response Regulator graR Is Responsible for.pdf:application/pdf}
+},
+
+ at article{oneill_molecular_2006,
+	title = {Molecular Genetic and Structural Modeling Studies of Staphylococcus aureus {RNA} Polymerase and the Fitness of Rifampin Resistance Genotypes in Relation to Clinical Prevalence},
+	volume = {50},
+	number = {1},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {{O'Neill}, A. J. and Huovinen, T. and Fishwick, C. W. G. and Chopra, I.},
+	year = {2006},
+	pages = {298–309}
+},
+
+ at article{herron-olson_molecular_2007,
+	title = {Molecular Correlates of Host Specialization in Staphylococcus aureus},
+	volume = {2},
+	url = {UR  - http://dx.plos.org/10.1371/journal.pone.0001120,http://dx.plos.org/10.1371/journal.pone.0001120},
+	doi = {10.1371/journal.pone.0001120},
+	abstract = {{BackgroundThe} majority of Staphylococcus aureus isolates that are recovered from either serious infections in humans or from mastitis in cattle represent genetically distinct sets of clonal groups. Moreover, population genetic analyses have provided strong evidence of host specialization among S. aureus clonal groups associated with human and ruminant infection. However, the molecular basis of host specialization in S. aureus is not {understood.Methodology/Principal} {Find [...]
+	number = {10},
+	urldate = {2012-03-13},
+	journal = {{PLoS} {ONE}},
+	author = {Herron-Olson, Lisa and Fitzgerald, J. Ross and Musser, James M. and Kapur, Vivek},
+	month = oct,
+	year = {2007},
+	keywords = {{RF122}},
+	pages = {e1120},
+	file = {Herron-Olson et al. - 2007 - Molecular Correlates of Host Specialization in Sta.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\IU7Q9NXK\Herron-Olson et al. - 2007 - Molecular Correlates of Host Specialization in Sta.pdf:application/pdf;PLoS Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\B4J6WMPK\infodoi10.1371journal.pone.html:text/html}
+},
+
+ at article{beltramini_modulation_2009,
+	title = {Modulation of Cell Wall Structure and Antimicrobial Susceptibility by a Staphylococcus aureus Eukaryote-Like {Serine/Threonine} Kinase and Phosphatase},
+	volume = {77},
+	issn = {0019-9567},
+	doi = {10.1128/IAI.01499-08},
+	abstract = {It is well established that prokaryotes and eukaryotes alike utilize phosphotransfer to regulate cellular functions. One method by which this occurs is via eukaryote-like serine/threonine kinase ({ESTK)-} and phosphatase ({ESTP)-regulated} pathways. The role of these enzymes in Staphylococcus aureus has not yet been examined. This resilient organism is a common cause of hospital-acquired and community-associated infections, infecting immunocompromised and immunocompetent hos [...]
+	number = {4},
+	journal = {Infection and Immunity},
+	author = {Beltramini, Amanda M. and Mukhopadhyay, Chitrangada D. and Pancholi, Vijay},
+	month = apr,
+	year = {2009},
+	note = {{PMID:} 19188361
+{PMCID:} 2663143},
+	pages = {1406--1416},
+	file = {PubMed Central Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\RD76Z3BR\Beltramini et al. - 2009 - Modulation of Cell Wall Structure and Antimicrobia.pdf:application/pdf}
+},
+
+ at article{garciaalvarez_meticillinresistant_2011,
+	title = {Meticillin–resistant Staphylococcus aureus with a novel {mecA} homologue in human and bovine populations in the {UK} and Denmark: a descriptive study},
+	volume = {11},
+	number = {8},
+	journal = {The Lancet Infectious Diseases},
+	author = {García–Álvarez, Laura and Holden, Matthew T. G. and Lindsay, Heather and Webb, Cerian R. and Brown, Derek F. J. and Curran, Martin D. and Walpole, Enid and Brooks, Karen and Pickard, Derek J. and Teale, Christopher and Parkhill, Julian and Bentley, Stephen D. and Edwards, Giles F. and Girvan, E. Kirsty and Kearns, Angela M. and Pichon, Bruno and Hill, Robert L. R. and Larsen, Anders R. and Skov, Robert L. and Peacock, Sharon J. and Maskell, Duncan J. and Holmes, Mark A.},
+	month = jun,
+	year = {2011},
+	pages = {595–603}
+},
+
+ at article{smith_methicillinresistant_2009,
+	title = {{Methicillin–Resistant} Staphylococcus aureus ({MRSA)} Strain {ST398} Is Present in Midwestern {U.S.} Swine and Swine Workers},
+	volume = {4},
+	number = {1},
+	journal = {{PLoS} {ONE}},
+	author = {Smith, Tara C. and Male, Michael J. and Harper, Abby L. and Kroeger, Jennifer S. and Tinkler, Gregory P. and Moritz, Erin D. and Capuano, Ana W. and Herwaldt, Loreen A. and Diekema, Daniel J.},
+	year = {2009},
+	pages = {e4258}
+},
+
+ at article{howden_isolates_2006,
+	title = {Isolates with Low-Level Vancomycin Resistance Associated with Persistent Methicillin-Resistant Staphylococcus aureus Bacteremia},
+	volume = {50},
+	issn = {0066-4804, 1098-6596},
+	url = {http://aac.asm.org/content/50/9/3039},
+	doi = {10.1128/AAC.00422-06},
+	abstract = {Low-level vancomycin-resistant Staphylococcus aureus (vancomycin-intermediate S. aureus [{VISA]} and heterogenous {VISA} [{hVISA])} is increasingly reported and leads to glycopeptide treatment failure. Various phenotypic features have been reported for these isolates, but the genetic changes leading to {hVISA} and {VISA} have yet to be clearly determined. We assessed phenotypic, antibiotic resistance, and genomic changes by using genomic {DNA} microarray comparison and seque [...]
+	language = {en},
+	number = {9},
+	urldate = {2012-03-11},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Howden, Benjamin P and Johnson, Paul D. R and Ward, Peter B and Stinear, Timothy P and Davies, John K},
+	month = sep,
+	year = {2006},
+	keywords = {{JKD6008}, {JKD6009}, Teicoplanin, Vancomycin},
+	pages = {3039--3047},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\KXIPC4PE\Howden et al. - 2006 - Isolates with Low-Level Vancomycin Resistance Asso.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\XBINZ5IS\3039.html:text/html}
+},
+
+ at article{meehl_interaction_2007,
+	title = {Interaction of the {graRS} {Two–Component} System with the {vraFG} {ABC–Transporter} to Support {Vancomycin–Intermediate} Resistance in Staphylococcus aureus},
+	volume = {51},
+	number = {8},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Meehl, Michael and Herbert, Silvia and Gotz, Friedrich and Cheung, Ambrose},
+	year = {2007},
+	pages = {2679–2689}
+},
+
+ at article{gill_insights_2005,
+	title = {Insights on evolution of virulence and resistance from the complete genome analysis of an early methicillin-resistant Staphylococcus aureus strain and a biofilm-producing methicillin-resistant Staphylococcus epidermidis strain},
+	volume = {187},
+	issn = {0021-9193},
+	doi = {10.1128/JB.187.7.2426-2438.2005},
+	abstract = {Staphylococcus aureus is an opportunistic pathogen and the major causative agent of numerous hospital- and community-acquired infections. Staphylococcus epidermidis has emerged as a causative agent of infections often associated with implanted medical devices. We have sequenced the approximately 2.8-Mb genome of S. aureus {COL}, an early methicillin-resistant isolate, and the approximately 2.6-Mb genome of S. epidermidis {RP62a}, a methicillin-resistant biofilm isolate. Comp [...]
+	language = {eng},
+	number = {7},
+	journal = {Journal of bacteriology},
+	author = {Gill, Steven R and Fouts, Derrick E and Archer, Gordon L and Mongodin, Emmanuel F and Deboy, Robert T and Ravel, Jacques and Paulsen, Ian T and Kolonay, James F and Brinkac, Lauren and Beanan, Mauren and Dodson, Robert J and Daugherty, Sean C and Madupu, Ramana and Angiuoli, Samuel V and Durkin, A Scott and Haft, Daniel H and Vamathevan, Jessica and Khouri, Hoda and Utterback, Terry and Lee, Chris and Dimitrov, George and Jiang, Lingxia and Qin, Haiying and Weidman, Jan and Tr [...]
+	month = apr,
+	year = {2005},
+	note = {{PMID:} 15774886 
+{PMCID:} {PMC1065214}},
+	keywords = {Biofilms, Chromosome Mapping, Evolution, Molecular, Gene Transfer, Horizontal, Genome, Bacterial, Genomic Islands, Methicillin Resistance, Molecular Sequence Data, Open Reading Frames, Phylogeny, Staphylococcus aureus, Staphylococcus epidermidis, Virulence},
+	pages = {2426--2438}
+},
+
+ at article{oneill_insertional_2002,
+	title = {Insertional inactivation of {mutS} in Staphylococcus aureus reveals potential for elevated mutation frequencies, although the prevalence of mutators in clinical isolates is low},
+	volume = {50},
+	issn = {0305-7453, 1460-2091},
+	url = {http://jac.oxfordjournals.org/content/50/2/161},
+	doi = {10.1093/jac/dkf118},
+	abstract = {Populations defective in mismatch repair that exhibit elevated mutation frequencies to antibiotic resistance have been reported amongst pathogenic Gram-negative bacteria. Whether such mutators occur widely in clinical isolates of Gram-positive species, and in important pathogens such as Staphylococcus aureus, is unknown. Insertional inactivation of the {mutS} gene of S. aureus {RN4220} by targeted plasmid integration produced a strain with mutation frequencies for antibiotic [...]
+	language = {en},
+	number = {2},
+	urldate = {2014-02-21},
+	journal = {Journal of Antimicrobial Chemotherapy},
+	author = {{O’Neill}, Alexander J. and Chopra, Ian},
+	month = aug,
+	year = {2002},
+	note = {{PMID:} 12161395},
+	pages = {161--169},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\JUEF9D2A\O’Neill i Chopra - 2002 - Insertional inactivation of mutS in Staphylococcus.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\2EEKKEIH\161.html:text/html}
+},
+
+ at article{sakoulas_induction_2006,
+	title = {Induction of Daptomycin Heterogeneous Susceptibility in Staphylococcus aureus by Exposure to Vancomycin},
+	volume = {50},
+	issn = {0066-4804},
+	doi = {10.1128/AAC.50.4.1581-1585.2006},
+	abstract = {We studied vancomycin and daptomycin susceptibility in methicillin-resistant Staphylococcus aureus from patients exposed to vancomycin, glycopeptide-intermediate S. aureus, and S. aureus passaged in vancomycin-containing medium. A correlation between vancomycin and daptomycin heteroresistance was noted in some strains, suggesting that exposure of S. aureus to vancomycin may affect susceptibility to daptomycin.},
+	number = {4},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Sakoulas, George and Alder, Jeff and Thauvin-Eliopoulos, Claudie and Moellering, Robert C. and Eliopoulos, George M.},
+	month = apr,
+	year = {2006},
+	note = {{PMID:} 16569891
+{PMCID:} 1426932},
+	pages = {1581--1585}
+},
+
+ at article{kuroda_identification_2000,
+	title = {Identification of the up- and down-regulated genes in vancomycin-resistant Staphylococcus aureus strains Mu3 and Mu50 by {cDNA} differential hybridization method},
+	volume = {269},
+	issn = {0006-{291X}},
+	url = {http://www.ncbi.nlm.nih.gov/pubmed/10708580},
+	doi = {10.1006/bbrc.2000.2277},
+	abstract = {We previously reported the first vancomycin-resistant Staphylococcus aureus ({VRSA)} clinical strain, Mu50, whose cell wall is remarkably thickened resulting from the activation of cell-wall synthesis. To explore the genetic basis for the vancomycin resistance, {cDNA} differential hybridization was performed using {RNAs} extracted from a set of closely related S. aureus strains with various levels of vancomycin susceptibilities. The strains were Mu3 ({MIC} = 2 microg/ml), Mu [...]
+	number = {2},
+	urldate = {2012-03-13},
+	journal = {Biochemical and Biophysical Research Communications},
+	author = {Kuroda, M and Kuwahara-Arai, K and Hiramatsu, K},
+	month = mar,
+	year = {2000},
+	note = {{PMID:} 10708580},
+	keywords = {Anti-Bacterial Agents, Base Sequence, {DNA} Primers, {DNA}, Complementary, Down-Regulation, Drug Resistance, Microbial, Genes, Bacterial, Nucleic Acid Hybridization, Staphylococcus aureus, Up-Regulation, vancomycin},
+	pages = {485--490}
+},
+
+ at article{howden_genomic_2008,
+	title = {Genomic Analysis Reveals a Point Mutation in the Two-Component Sensor Gene {graS} That Leads to Intermediate Vancomycin Resistance in Clinical Staphylococcus aureus},
+	volume = {52},
+	issn = {0066-4804, 1098-6596},
+	url = {http://aac.asm.org/content/52/10/3755},
+	doi = {10.1128/AAC.01613-07},
+	language = {en},
+	number = {10},
+	urldate = {2012-03-11},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Howden, Benjamin P and Stinear, Timothy P and Allen, David L and Johnson, Paul D. R and Ward, Peter B and Davies, John K},
+	month = oct,
+	year = {2008},
+	keywords = {{JKD6008}},
+	pages = {3755--3762},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\N2CVVDPB\Howden et al. - 2008 - Genomic Analysis Reveals a Point Mutation in the T.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\UJGB4AE3\3755.full.html:text/html}
+},
+
+ at article{rolain_genomic_2009,
+	title = {Genomic analysis of an emerging multiresistant Staphylococcus aureus strain rapidly spreading in cystic fibrosis patients revealed the presence of an antibiotic inducible bacteriophage},
+	volume = {4},
+	issn = {1745-6150},
+	url = {http://www.ncbi.nlm.nih.gov/pubmed/19144117},
+	doi = {10.1186/1745-6150-4-1},
+	abstract = {{BACKGROUND}
+
+Staphylococcus aureus is a major human pathogen responsible for a variety of nosocomial and community-acquired infections. Recent reports show that the prevalence of Methicillin-Resistant S. aureus ({MRSA)} infections in cystic fibrosis ({CF)} patients is increasing. In 2006 in Marseille, France, we have detected an atypical {MRSA} strain with a specific antibiotic susceptibility profile and a unique growth phenotype. Because of the clinical importance of the spread of such strain among  [...]
+
+
+{RESULTS}
+
+{CF-Marseille} is multidrug resistant, has a hetero-Glycopeptide-Intermediate resistance S. aureus phenotype, grows on Cepacia agar with intense orange pigmentation and has a thickened cell wall. Phylogenetic analyses using Complete Genome Hybridization and Multi Locus {VNTR} Assay showed that {CF-Marseille} was closely related to strain Mu50, representing vancomycin-resistant S. aureus. Analysis of {CF-Marseille} shows a similar core genome to that of previously sequenced {MRSA} strains [...]
+
+
+{CONCLUSION}
+
+In conclusion, we demonstrated the emergence and spreading of a new isolate of {MRSA} in {CF} patients in Marseille, France, that has probably been selected in the airways by antibiotic pressure. Antibiotic-mediated phage induction may result in high-frequency transfer and the unintended consequence of promoting the spread of virulence and/or antibiotic resistance determinants. The emergence of well-adapted {MRSA} is worrying in such population chronically colonized and receiving many an [...]
+
+
+{REVIEWERS}
+
+This article was reviewed by Eric Bapteste, Pierre Pontarotti, and Igor Zhulin. For the full reviews, please go to the Reviewers' comments section.},
+	urldate = {2012-03-11},
+	journal = {Biology Direct},
+	author = {Rolain, Jean-Marc and François, Patrice and Hernandez, David and Bittar, Fadi and Richet, Hervé and Fournous, Ghislain and Mattenberger, Yves and Bosdure, Emmanuelle and Stremler, Nathalie and Dubus, Jean-Christophe and Sarles, Jacques and Reynaud-Gaubert, Martine and Boniface, Stephanie and Schrenzel, Jacques and Raoult, Didier},
+	year = {2009},
+	note = {{PMID:} 19144117},
+	keywords = {Anti-Bacterial Agents, Bacteriophages, Base Sequence, Cell Proliferation, Cell Wall, Cystic Fibrosis, {DNA}, Bacterial, Drug Resistance, Multiple, Bacterial, France, Gene Expression Profiling, Genes, Bacterial, Genome, Bacterial, Humans, Methicillin Resistance, Minisatellite Repeats, Molecular Sequence Data, Phenotype, Phylogeny, Staphylococcus aureus, Transcription, Genetic},
+	pages = {1}
+},
+
+ at article{sass_genome_2012,
+	title = {Genome Sequence of Staphylococcus aureus {VC40}, a Vancomycin- and Daptomycin-Resistant Strain, To Study the Genetics of Development of Resistance to Currently Applied Last-Resort Antibiotics},
+	volume = {194},
+	issn = {0021-9193, 1098-5530},
+	url = {http://jb.asm.org/content/194/8/2107},
+	doi = {10.1128/JB.06631-11},
+	abstract = {The increasing emergence of multidrug-resistant Staphylococcus aureus is a problem of global importance. Here, we report the genome of S. aureus {VC40}, which is resistant to the last-resort antibiotics vancomycin and daptomycin. Its genome sequence will allow insights into the mechanisms that convey full resistance to these compounds.},
+	language = {en},
+	number = {8},
+	urldate = {2014-02-21},
+	journal = {Journal of Bacteriology},
+	author = {Sass, Peter and Berscheid, Anne and Jansen, Andrea and Oedenkoven, Marion and Szekat, Christiane and Strittmatter, Axel and Gottschalk, Gerhard and Bierbaum, Gabriele},
+	month = apr,
+	year = {2012},
+	note = {{PMID:} 22461548},
+	pages = {2107--2108},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\UTI28IVI\Sass et al. - 2012 - Genome Sequence of Staphylococcus aureus VC40, a V.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\CZFGCDAK\2107.html:text/html}
+},
+
+ at article{baba_genome_2008,
+	title = {Genome Sequence of Staphylococcus aureus Strain Newman and Comparative Analysis of Staphylococcal Genomes: Polymorphism and Evolution of Two Major Pathogenicity Islands},
+	volume = {190},
+	issn = {0021-9193, 1098-5530},
+	shorttitle = {Genome Sequence of Staphylococcus aureus Strain Newman and Comparative Analysis of Staphylococcal Genomes},
+	url = {http://jb.asm.org/content/190/1/300},
+	doi = {10.1128/JB.01000-07},
+	abstract = {Strains of Staphylococcus aureus, an important human pathogen, display up to 20\% variability in their genome sequence, and most sequence information is available for human clinical isolates that have not been subjected to genetic analysis of virulence attributes. S. aureus strain Newman, which was also isolated from a human infection, displays robust virulence properties in animal models of disease and has already been extensively analyzed for its molecular traits of staphy [...]
+	language = {en},
+	number = {1},
+	urldate = {2012-03-13},
+	journal = {Journal of Bacteriology},
+	author = {Baba, Tadashi and Bae, Taeok and Schneewind, Olaf and Takeuchi, Fumihiko and Hiramatsu, Keiichi},
+	month = jan,
+	year = {2008},
+	keywords = {Newman},
+	pages = {300--310},
+	file = {Baba et al. - 2008 - Genome Sequence of Staphylococcus aureus Strain Ne.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\FM9MN37W\Baba et al. - 2008 - Genome Sequence of Staphylococcus aureus Strain Ne.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\56TJER9X\300.html:text/html}
+},
+
+ at article{stegger_genome_2013,
+	title = {Genome Sequence of Staphylococcus aureus Strain {CA-347}, a {USA600} Methicillin-Resistant Isolate},
+	volume = {1},
+	issn = {2169-8287},
+	doi = {10.1128/genomeA.00517-13},
+	abstract = {The Staphylococcus aureus clonal lineage {CC45} is a predominant colonizer of healthy individuals in northern Europe and constitutes a highly basal cluster of the S. aureus population. Here, we report the complete genome sequence of S. aureus strain {CA-347} ({NRS648)}, a representative of the methicillin-resistant {USA600} clone predominantly found in the United States.},
+	language = {eng},
+	number = {4},
+	journal = {Genome announcements},
+	author = {Stegger, Marc and Driebe, Elizabeth M and Roe, Chandler and Lemmer, Darrin and Bowers, Jolene R and Engelthaler, David M and Keim, Paul and Andersen, Paal S},
+	year = {2013},
+	note = {{PMID:} 23887918 
+{PMCID:} {PMC3735070}}
+},
+
+ at article{stegger_genome_2012,
+	title = {Genome Sequence of Staphylococcus aureus Strain 11819-97, an {ST80-IV} European Community-Acquired Methicillin-Resistant Isolate},
+	volume = {194},
+	issn = {0021-9193, 1098-5530},
+	url = {http://jb.asm.org/content/194/6/1625},
+	doi = {10.1128/JB.06653-11},
+	language = {en},
+	number = {6},
+	urldate = {2012-03-13},
+	journal = {Journal of Bacteriology},
+	author = {Stegger, Marc and Price, Lance B and Larsen, Anders R and Gillece, John D and Waters, Andrew E and Skov, Robert and Andersen, Paal S},
+	month = mar,
+	year = {2012},
+	pages = {1625--1626},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\8DTXGP46\Stegger et al. - 2012 - Genome Sequence of Staphylococcus aureus Strain 11.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\MISKFPGK\1625.full.html:text/html}
+},
+
+ at article{holden_genome_2010,
+	title = {Genome Sequence of a Recently Emerged, Highly Transmissible, Multi-Antibiotic- and Antiseptic-Resistant Variant of Methicillin-Resistant Staphylococcus aureus, Sequence Type 239 ({TW)}},
+	volume = {192},
+	issn = {0021-9193},
+	url = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2812470/},
+	doi = {10.1128/JB.01255-09},
+	abstract = {The 3.1-Mb genome of an outbreak methicillin-resistant Staphylococcus aureus ({MRSA)} strain ({TW20)} contains evidence of recently acquired {DNA}, including two large regions (635 kb and 127 kb). The strain is resistant to a wide range of antibiotics, antiseptics, and heavy metals due to resistance genes encoded on mobile genetic elements and also mutations in housekeeping genes.},
+	number = {3},
+	urldate = {2014-02-21},
+	journal = {Journal of Bacteriology},
+	author = {Holden, Matthew T. G. and Lindsay, Jodi A. and Corton, Craig and Quail, Michael A. and Cockfield, Joshua D. and Pathak, Smriti and Batra, Rahul and Parkhill, Julian and Bentley, Stephen D. and Edgeworth, Jonathan D.},
+	month = feb,
+	year = {2010},
+	note = {{PMID:} 19948800
+{PMCID:} {PMC2812470}},
+	pages = {888--892},
+	file = {PubMed Central Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\WG6GATTP\Holden et al. - 2010 - Genome Sequence of a Recently Emerged, Highly Tran.pdf:application/pdf}
+},
+
+ at phdthesis{harastani_genetic_2013,
+	type = {Thesis},
+	title = {Genetic diversity of Staphylococcus aureus in Lebanon. (c2012)},
+	url = {https://ecommons.lau.edu.lb:8443/xmlui/handle/10725/1478},
+	abstract = {Staphylococcus aureus, one of the most significant human pathogens, causes different infections ranging in severity from mild superficial skin infections to life threatening bacteremia and endocarditis. The occurrence and dissemination of methicillin-resistant variants ({MRSAs)} in clinical settings has raised the concern for the constant increase of nosocomial infections all over the world. Additionally, the appearance of {MRSA} among the community (community acquired [{CA- [...]
+	language = {en},
+	urldate = {2014-02-25},
+	author = {Harastani, Houda Haitham},
+	month = feb,
+	year = {2013},
+	note = {Includes bibliographical references (leaves 42-60).},
+	keywords = {{MLST}, {MRSA}, {MSSA}, {PFGE}, {SCCmec} typing, spa typing, Staphylococcus aureus, Staphylococcus aureus -- Genetic aspects, Staphylococcus aureus infections -- Lebanon},
+	file = {Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\GSJ6G9W4\1478.html:text/html}
+},
+
+ at article{friedman_genetic_2006,
+	title = {Genetic Changes That Correlate with Reduced Susceptibility to Daptomycin in Staphylococcus aureus},
+	volume = {50},
+	issn = {0066-4804},
+	doi = {10.1128/AAC.00039-06},
+	abstract = {Daptomycin is a lipopeptide antibiotic with potent activity against gram-positive bacteria. Complete-genome comparisons of laboratory-derived Staphylococcus aureus with decreased susceptibility to daptomycin and their susceptible parent were used to identify genes that contribute to reduced susceptibility to daptomycin. Selective pressure of growth in sublethal concentrations of daptomycin resulted in the accumulation of mutations over time correlating with incremental decre [...]
+	number = {6},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Friedman, Lisa and Alder, Jeff D. and Silverman, Jared A.},
+	month = jun,
+	year = {2006},
+	note = {{PMID:} 16723576
+{PMCID:} 1479123},
+	pages = {2137--2145},
+	file = {Friedman et al. - 2006 - Genetic Changes That Correlate with Reduced Suscep.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\FSXBZARR\Friedman et al. - 2006 - Genetic Changes That Correlate with Reduced Suscep.pdf:application/pdf}
+},
+
+ at article{storrs_genetic_1988,
+	title = {Genetic analysis of gentamicin resistance in methicillin- and gentamicin-resistant strains of Staphylococcus aureus isolated in Dublin hospitals.},
+	volume = {32},
+	issn = {0066-4804},
+	abstract = {Methicillin- and gentamicin-resistant strains of Staphylococcus aureus isolated in Dublin hospitals have been classified into groups I, {II}, and {III} based on resistance to antimicrobial agents and plasmid profiles. Each group expresses a characteristic level of resistance to gentamicin, tobramycin, and sisomicin. Enzyme assays showed that resistant strains expressed 2"-aminoglycoside phosphotransferase-6'-aminoglycoside transferase activity by a determinant which is known [...]
+	number = {8},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Storrs, M J and Courvalin, P and Foster, T J},
+	month = aug,
+	year = {1988},
+	note = {{PMID:} 2847646
+{PMCID:} 172372},
+	pages = {1174--1181},
+	file = {PubMed Central Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\IW75RDJB\Storrs et al. - 1988 - Genetic analysis of gentamicin resistance in methi.pdf:application/pdf}
+},
+
+ at article{sieradzki_evolution_2003,
+	title = {Evolution of a Vancomycin-Intermediate Staphylococcus aureus Strain In Vivo: Multiple Changes in the Antibiotic Resistance Phenotypes of a Single Lineage of Methicillin-Resistant S. aureus under the Impact of Antibiotics Administered for Chemotherapy},
+	volume = {41},
+	issn = {0095-1137},
+	shorttitle = {Evolution of a Vancomycin-Intermediate Staphylococcus aureus Strain In Vivo},
+	doi = {10.1128/JCM.41.4.1687-1693.2003},
+	abstract = {A number of methicillin-resistant Staphylococcus aureus ({MRSA)} isolates were recovered over a period of several weeks from blood samples and from the heart valve of a patient who underwent extensive vancomycin chemotherapy for persistent S. aureus bacteremia. Consecutive isolates showed gradually decreasing growth rates during in vitro cultivation and increasing vancomycin {MICs}, from an {MIC} of 1 μg/ml for the initial isolate to an {MIC} of 8 μg/ml for the final {MRSA}  [...]
+	number = {4},
+	journal = {Journal of Clinical Microbiology},
+	author = {Sieradzki, K. and Leski, T. and Dick, J. and Borio, L. and Tomasz, A.},
+	month = apr,
+	year = {2003},
+	note = {{PMID:} 12682161
+{PMCID:} 153915},
+	keywords = {{JH1}, {JH9}},
+	pages = {1687--1693},
+	file = {PubMed Central Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\V4BQJB6Q\Sieradzki et al. - 2003 - Evolution of a Vancomycin-Intermediate Staphylococ.pdf:application/pdf}
+},
+
+ at article{hershberger_evaluation_1999,
+	title = {Evaluation of Bactericidal Activities of {LY333328}, Vancomycin, Teicoplanin, Ampicillin-Sulbactam, Trovafloxacin, and {RP59500} Alone or in Combination with Rifampin or Gentamicin against Different Strains of Vancomycin-Intermediate Staphylococcus aureus by Time-Kill Curve Methods},
+	volume = {43},
+	issn = {0066-4804, 1098-6596},
+	url = {http://aac.asm.org/content/43/3/717},
+	abstract = {This in vitro study evaluated the activities of vancomycin, {LY333328}, and teicoplanin alone and in combination with gentamicin, rifampin, and {RP59500} against Staphylococcus aureusisolates with intermediate susceptibilities to vancomycin. Ampicillin-sulbactam and trovafloxacin were also evaluated. {LY333328} and ampicillin-sulbactam resulted in bactericidal activity against all isolates. The combination of gentamicin with glycopeptides showed synergistic activity, while r [...]
+	language = {en},
+	number = {3},
+	urldate = {2012-03-13},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Hershberger, Ellie and Aeschlimann, Jeffrey R and Moldovan, Tabitha and Rybak, Michael J},
+	month = mar,
+	year = {1999},
+	pages = {717--721},
+	file = {Hershberger et al. - 1999 - Evaluation of Bactericidal Activities of LY333328,.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\XG5F7R7D\Hershberger et al. - 1999 - Evaluation of Bactericidal Activities of LY333328,.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\6FNC26BD\717.html:text/html}
+},
+
+ at article{ekkelenkamp_endocarditis_2006,
+	title = {Endocarditis due to meticillin-resistant Staphylococcus aureus originating from pigs},
+	volume = {150},
+	issn = {0028-2162},
+	url = {http://www.ncbi.nlm.nih.gov/pubmed/17131705},
+	abstract = {A 63-year-old woman with a kidney transplant was admitted with endocarditis caused by meticillin-resistant Staphylococcus aureus ({MRSA).} Once her antibiotic therapy had been adjusted to the sensitivity-pattern of the bacterial strain she recovered, without the need for surgical intervention. The isolated S. aureus was typed by multi-locus sequence typing as sequence type 398, a {MRSA-strain} that has recently been isolated from a high percentage of Dutch pigs. This is the  [...]
+	number = {44},
+	urldate = {2012-03-13},
+	journal = {Nederlands Tijdschrift Voor Geneeskunde},
+	author = {Ekkelenkamp, M B and Sekkat, M and Carpaij, N and Troelstra, A and Bonten, M J M},
+	month = nov,
+	year = {2006},
+	note = {{PMID:} 17131705},
+	keywords = {Animals, Endocarditis, Bacterial, Female, Humans, Methicillin Resistance, Middle Aged, {ST398}, Staphylococcal Infections, Staphylococcus aureus, Swine, Swine Diseases, Zoonoses},
+	pages = {2442--2447}
+},
+
+ at article{neoh_draft_2013,
+	title = {Draft Genome Sequences of Four Nosocomial Methicillin-Resistant Staphylococcus aureus ({MRSA)} Strains ({PPUKM-261-2009}, {PPUKM-332-2009}, {PPUKM-377-2009}, and {PPUKM-775-2009)} Representative of Dominant {MRSA} Pulsotypes Circulating in a Malaysian University Teaching Hospital},
+	volume = {1},
+	issn = {, 2169-8287},
+	url = {http://genomea.asm.org/content/1/1/e00103-12},
+	doi = {10.1128/genomeA.00103-12},
+	abstract = {Here, we report the draft genome sequences of four nosocomial methicillin-resistant Staphylococcus aureus strains ({PPUKM-261-2009}, {PPUKM-332-2009}, {PPUKM-377-2009}, and {PPUKM-775-2009)} isolated from a university teaching hospital in Malaysia. Three of the strains belong to sequence type 239 ({ST239)}, which has been associated with sustained hospital epidemics worldwide.},
+	language = {en},
+	number = {1},
+	urldate = {2014-02-21},
+	journal = {Genome Announcements},
+	author = {Neoh, Hui-Min and Mohamed-Hussein, Zeti-Azura and Tan, Xin-Ee and Rahman, Raja Mohd Fadhil B. Raja Abd and Hussin, Salasawati and Zin, Noraziah Mohamad and Jamal, Rahman},
+	month = feb,
+	year = {2013},
+	note = {{PMID:} 23405328},
+	pages = {e00103--12},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\M9J8UCMS\Neoh et al. - 2013 - Draft Genome Sequences of Four Nosocomial Methicil.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\CTMK6HFZ\e00103-12.html:text/html}
+},
+
+ at article{harro_draft_2013,
+	title = {Draft Genome Sequence of the Methicillin-Resistant Staphylococcus aureus Isolate {MRSA-M2}},
+	volume = {1},
+	issn = {2169-8287},
+	doi = {10.1128/genomeA.00037-12},
+	abstract = {We report the draft genome sequence of a methicillin-resistant strain of Staphylococcus aureus, designated {MRSA-M2.} This clinical isolate was obtained from an osteomyelitis patient undergoing treatment at the University of Texas Medical Branch (Galveston, {TX).} This strain is an {ST30}, spa type T019, agr {III} strain and has been utilized as a model S. aureus strain in a number of proteomic, transcriptomic, and animal model studies.},
+	language = {eng},
+	number = {1},
+	journal = {Genome announcements},
+	author = {Harro, Janette M and Daugherty, Sean and Bruno, Vincent M and Jabra-Rizk, Mary Ann and Rasko, David A and Shirtliff, Mark E},
+	month = jan,
+	year = {2013},
+	note = {{PMID:} 23405318 
+{PMCID:} {PMC3569307}}
+},
+
+ at article{carroll_draft_2013,
+	title = {Draft Genome Sequence of Strain {CBD-635}, a Methicillin-Resistant Staphylococcus aureus {USA100} Isolate},
+	volume = {1},
+	issn = {, 2169-8287},
+	url = {http://genomea.asm.org/content/1/4/e00491-13},
+	doi = {10.1128/genomeA.00491-13},
+	abstract = {We present the draft genome sequence of methicillin-resistant Staphylococcus aureus strain {CBD-635}, from the {USA100} lineage. This is a sepsis isolate obtained from Tampa General Hospital. This strain is spa type t003 and multilocus sequence typing ({MLST)} type {ST5}, and it has been used by our group in the study of novel antimicrobial chemotherapeutics.},
+	language = {en},
+	number = {4},
+	urldate = {2014-02-21},
+	journal = {Genome Announcements},
+	author = {Carroll, Ronan K. and Burda, Whittney N. and Roberts, Jill C. and Peak, Kealy K. and Cannons, Andrew C. and Shaw, Lindsey N.},
+	month = aug,
+	year = {2013},
+	note = {{PMID:} 23846279},
+	pages = {e00491--13},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\MNRK9TE4\Carroll et al. - 2013 - Draft Genome Sequence of Strain CBD-635, a Methici.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\J43PV5HI\e00491-13.html:text/html}
+},
+
+ at article{khedkar_draft_2012,
+	title = {Draft Genome Sequence of Staphylococcus aureus {ST672}, an Emerging Disease Clone from India},
+	volume = {194},
+	issn = {0021-9193},
+	url = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3510593/},
+	doi = {10.1128/JB.01868-12},
+	abstract = {We report the draft genome sequence of methicillin-resistant Staphylococcus aureus ({MRSA)} strain {ST672}, an emerging disease clone in India, from a septicemia patient. The genome size is about 2.82 Mb with 2,485 open reading frames ({ORFs).} The staphylococcal cassette chromosome mec ({SCCmec)} element (type V) and immune evasion cluster appear to be different from those of strain {ST772} on preliminary examination.},
+	number = {24},
+	urldate = {2014-02-21},
+	journal = {Journal of Bacteriology},
+	author = {Khedkar, Supriya and Prabhakara, Sushma and Loganathan, Ramya Malarini and S, Chandana and Gowda, Malali and Arakere, Gayathri and Seshasayee, Aswin Sai Narain},
+	month = dec,
+	year = {2012},
+	note = {{PMID:} 23209210
+{PMCID:} {PMC3510593}},
+	pages = {6946--6947},
+	file = {PubMed Central Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\8K9NWQCU\Khedkar et al. - 2012 - Draft Genome Sequence of Staphylococcus aureus ST6.pdf:application/pdf}
+},
+
+ at article{mcdonald_draft_2013,
+	title = {Draft Genome Sequence of Methicillin-Susceptible Staphylococcus aureus Strain {06BA18369}, a Pathogen Associated with Skin and Soft Tissue Infections in Northern Saskatchewan, Canada},
+	volume = {1},
+	issn = {, 2169-8287},
+	url = {http://genomea.asm.org/content/1/3/e00389-13},
+	doi = {10.1128/genomeA.00389-13},
+	abstract = {Here, we announce the draft sequence of a representative methicillin-susceptible Staphylococcus aureus ({MSSA)} isolate ({06BA18369)} whose strain type (spa type t311) was commonly isolated from skin and soft tissue coinfections with Streptococcus pyogenes. This strain sequence provides insight into a highly successful community-associated {MSSA} strain type.},
+	language = {en},
+	number = {3},
+	urldate = {2014-02-21},
+	journal = {Genome Announcements},
+	author = {{McDonald}, Ryan R. and Golding, George R. and Irvine, James and Graham, Morag R. and Tyler, Shaun and Mulvey, Michael R. and Levett, Paul N.},
+	month = jun,
+	year = {2013},
+	note = {{PMID:} 23814031},
+	pages = {e00389--13},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\G5F5ZXSE\McDonald et al. - 2013 - Draft Genome Sequence of Methicillin-Susceptible S.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\SJFHW3A7\e00389-13.html:text/html}
+},
+
+ at article{dabul_draft_2013,
+	title = {Draft Genome Sequence of Methicillin-Resistant Staphylococcus aureus Strain {SA16}, Representative of an Endemic Clone from a Brazilian Hospital},
+	volume = {1},
+	issn = {, 2169-8287},
+	url = {http://genomea.asm.org/content/1/5/e00754-13},
+	doi = {10.1128/genomeA.00754-13},
+	abstract = {Here we report the draft genome sequence of a bloodstream isolate of methicillin-resistant Staphylococcus aureus strain {SA16.} Strain {SA16} is a sequence type 5 ({ST5)-staphylococcal} cassette chromosome mec type {II} ({SCCmec} {II)} clone and was the most prevalent isolate at a Brazilian hospital during the second half of 2009.},
+	language = {en},
+	number = {5},
+	urldate = {2014-02-21},
+	journal = {Genome Announcements},
+	author = {Dabul, Andrei Nicoli G. and Kos, Veronica N. and Gilmore, Michael S. and Camargo, Ilana L. B. C.},
+	month = oct,
+	year = {2013},
+	note = {{PMID:} 24051324},
+	pages = {e00754--13},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\NQ6M33BH\Dabul et al. - 2013 - Draft Genome Sequence of Methicillin-Resistant Sta.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\33WGH3GR\e00754-13.html:text/html}
+},
+
+ at article{pucci_direct_2002,
+	title = {Direct Quantitation of the Numbers of Individual Penicillin-Binding Proteins Per Cell in Staphylococcus Aureus},
+	volume = {184},
+	issn = {0021-9193, 1098-5530},
+	url = {http://jb.asm.org/content/184/2/588},
+	doi = {10.1128/JB.184.2.588-591.2002},
+	abstract = {The penicillin-binding proteins ({PBPs)} are a set of enzymes that participate in bacterial peptidoglycan assembly. The absolute numbers of each {PBP} were determined by direct measurement and have been reported for two Staphylococcus aureus strains, {RN4220} (methicillin-sensitive S. aureus) and {RN450M} (methicillin-resistant S. aureus). From the specific activity of the labeled penicillin and the absolute number of disintegrations per minute, and from the number of {CFU}  [...]
+	language = {en},
+	number = {2},
+	urldate = {2012-03-24},
+	journal = {Journal of Bacteriology},
+	author = {Pucci, Michael J and Dougherty, Thomas J},
+	month = jan,
+	year = {2002},
+	pages = {588--591},
+	file = {Pucci i Dougherty - 2002 - Direct Quantitation of the Numbers of Individual P.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\77ZS4R85\Pucci i Dougherty - 2002 - Direct Quantitation of the Numbers of Individual P.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\8J5PX3Q9\Pucci i Dougherty - 2002 - Direct Quantitation of the Numbers of Individual P.html:text/html}
+},
+
+ at article{daurel_differences_2008,
+	title = {Differences in Potential for Selection of Clindamycin-Resistant Mutants Between Inducible erm(A) and erm(C) Staphylococcus Aureus Genes},
+	volume = {46},
+	issn = {0095-1137, 1098-{660X}},
+	url = {http://jcm.asm.org/content/46/2/546},
+	doi = {10.1128/JCM.01925-07},
+	language = {en},
+	number = {2},
+	urldate = {2012-03-24},
+	journal = {Journal of Clinical Microbiology},
+	author = {Daurel, Claire and Huet, Corinne and Dhalluin, Anne and Bes, Michèle and Etienne, Jerome and Leclercq, Roland},
+	month = feb,
+	year = {2008},
+	pages = {546--550},
+	file = {Daurel et al. - 2008 - Differences in Potential for Selection of Clindamy.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\QHDFICZB\Daurel et al. - 2008 - Differences in Potential for Selection of Clindamy.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\KSB4WMWX\Daurel et al. - 2008 - Differences in Potential for Selection of Clindamy.html:text/html}
+},
+
+ at article{pillai_development_2009,
+	title = {Development of Reduced Vancomycin Susceptibility in Methicillin-Susceptible Staphylococcus Aureus},
+	volume = {49},
+	issn = {1058-4838, 1537-6591},
+	url = {http://cid.oxfordjournals.org/content/49/8/1169},
+	doi = {10.1086/605636},
+	abstract = {Background. Most cases of reduced vancomycin susceptibility in Staphylococcus aureus reported in the literature have been in methicillin-resistant strains. We report the development of reduced vancomycin susceptibility in a series of clonally related, methicillin-susceptible S. aureus ({MSSA)} clinical isolates. This isogenic series permitted us to determine whether the evolution of reduced vancomycin susceptibility in {MSSA} is similar to that seen in {MRSA.}
+Methods. Differences in vancomycin population analysis profiles; chemical autolysis; vancomycin, oxacillin, and daptomycin minimum inhibitory concentrations; and bactericidal activities were examined.
+Results. Progressive vancomycin resistance correlated with increasing daptomycin nonsusceptibility. Chemical autolysis and the bactericidal activity of vancomycin, oxacillin, and daptomycin were reduced in the final, vancomycin-intermediate S. aureus isolate, compared with the vancomycin-susceptible {MSSA} progenitor.
+Conclusions. Clinicians should recognize that reduced vancomycin susceptibility can occur in S. aureus irrespective of background methicillin susceptibility and that development of intermediate vancomycin susceptibility in {MSSA} may result in increased tolerance to several classes of anti-staphylococcal antibiotics.},
+	language = {en},
+	number = {8},
+	urldate = {2012-03-25},
+	journal = {Clinical Infectious Diseases},
+	author = {Pillai, Satish K and Wennersten, Christine and Venkataraman, Lata and Eliopoulos, George M and Moellering, Robert C and Karchmer, Adolf W},
+	month = oct,
+	year = {2009},
+	pages = {1169--1174},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\FVA748SJ\Pillai et al. - 2009 - Development of Reduced Vancomycin Susceptibility i.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\VXP939V7\Pillai et al. - 2009 - Development of Reduced Vancomycin Susceptibility i.html:text/html}
+},
+
+ at article{lindqvist_detection_2011,
+	title = {Detection and characterisation of {SCCmec;} remnants in multiresistant methicillin–susceptible {\textbackslash}{textitStaphylococcus} aureus; causing a clonal outbreak in a Swedish county},
+	journal = {European Journal of Clinical Microbiology and Infectious Diseases},
+	author = {Lindqvist, M. and Isaksson, B. and Grub, C. and Jonassen, T. and Hällgren, A.},
+	month = may,
+	year = {2011},
+	pages = {1–7}
+},
+
+ at article{cui_contribution_2009,
+	title = {Contribution of {vraSR} and {graSR} Point Mutations to Vancomycin Resistance in Vancomycin-Intermediate Staphylococcus aureus},
+	volume = {53},
+	issn = {0066-4804, 1098-6596},
+	url = {http://aac.asm.org/content/53/3/1231},
+	doi = {10.1128/AAC.01173-08},
+	language = {en},
+	number = {3},
+	urldate = {2012-03-09},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Cui, Longzhu and Neoh, Hui-min and Shoji, Mitsutaka and Hiramatsu, Keiichi},
+	month = mar,
+	year = {2009},
+	pages = {1231--1234},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\7KSX88ZR\Cui et al. - 2009 - Contribution of vraSR and graSR Point Mutations to.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\G9FHPCWN\1231.full.html:text/html}
+},
+
+ at article{kennedy_complete_2010,
+	title = {Complete Nucleotide Sequence Analysis of Plasmids in Strains of Staphylococcus aureus Clone {USA300} Reveals a High Level of Identity among Isolates with Closely Related Core Genome Sequences},
+	volume = {48},
+	issn = {0095-1137, 1098-{660X}},
+	url = {http://jcm.asm.org/content/48/12/4504},
+	doi = {10.1128/JCM.01050-10},
+	language = {en},
+	number = {12},
+	urldate = {2012-03-13},
+	journal = {Journal of Clinical Microbiology},
+	author = {Kennedy, Adam D and Porcella, Stephen F and Martens, Craig and Whitney, Adeline R and Braughton, Kevin R and Chen, Liang and Craig, Carly T and Tenover, Fred C and Kreiswirth, Barry N and Musser, James M and {DeLeo}, Frank R},
+	month = dec,
+	year = {2010},
+	keywords = {{USA300}},
+	pages = {4504--4511},
+	file = {Kennedy et al. - 2010 - Complete Nucleotide Sequence Analysis of Plasmids .pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\K2W2PSXS\Kennedy et al. - 2010 - Complete Nucleotide Sequence Analysis of Plasmids .pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\7ZAUEU4S\4504.full.html:text/html}
+},
+
+ at article{holden_complete_2004,
+	title = {Complete genomes of two clinical Staphylococcus aureus strains: Evidence for the rapid evolution of virulence and drug resistance},
+	volume = {101},
+	issn = {0027-8424, 1091-6490},
+	shorttitle = {Complete genomes of two clinical Staphylococcus aureus strains},
+	url = {http://www.pnas.org/content/101/26/9786},
+	doi = {10.1073/pnas.0402521101},
+	language = {en},
+	number = {26},
+	urldate = {2012-03-13},
+	journal = {Proceedings of the National Academy of Sciences of the United States of America},
+	author = {Holden, Matthew T. G and Feil, Edward J and Lindsay, Jodi A and Peacock, Sharon J and Day, Nicholas P. J and Enright, Mark C and Foster, Tim J and Moore, Catrin E and Hurst, Laurence and Atkin, Rebecca and Barron, Andrew and Bason, Nathalie and Bentley, Stephen D and Chillingworth, Carol and Chillingworth, Tracey and Churcher, Carol and Clark, Louise and Corton, Craig and Cronin, Ann and Doggett, Jon and Dowd, Linda and Feltwell, Theresa and Hance, Zahra and Harris, Barbara an [...]
+	month = jun,
+	year = {2004},
+	keywords = {{MRSA252}, {MSSA476}},
+	pages = {9786--9791},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\HGEXK27S\Holden et al. - 2004 - Complete genomes of two clinical Staphylococcus au.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\IAUJ2MQN\9786.full.html:text/html}
+},
+
+ at article{diep_complete_2006,
+	title = {Complete genome sequence of {USA300}, an epidemic clone of community-acquired meticillin-resistant Staphylococcus aureus},
+	volume = {367},
+	issn = {0140-6736},
+	url = {http://www.sciencedirect.com/science/article/pii/S0140673606682317},
+	doi = {10.1016/S0140-6736(06)68231-7},
+	abstract = {{SummaryBackground}
+{USA300}, a clone of meticillin-resistant Staphylococcus aureus, is a major source of community-acquired infections in the {USA}, Canada, and Europe. Our aim was to sequence its genome and compare it with those of other strains of S aureus to try to identify genes responsible for its distinctive epidemiological and virulence properties.
+Methods
+We ascertained the genome sequence of {FPR3757}, a multidrug resistant {USA300} strain, by random shotgun sequencing, then compared it with the sequences of ten other staphylococcal strains.
+Findings
+Compared with closely related S aureus, we noted that almost all of the unique genes in {USA300} clustered in novel allotypes of mobile genetic elements. Some of the unique genes are involved in pathogenesis, including Panton-Valentine leucocidin and molecular variants of enterotoxin Q and K. The most striking feature of the {USA300} genome is the horizontal acquisition of a novel mobile genetic element that encodes an arginine deiminase pathway and an oligopeptide permease system that c [...]
+Interpretation
+{USA300} has acquired mobile genetic elements that encode resistance and virulence determinants that could enhance fitness and pathogenicity.},
+	number = {9512},
+	urldate = {2012-03-13},
+	journal = {The Lancet},
+	author = {Diep, Binh An and Gill, Steven R and Chang, Richard F and Phan, Tiffany {HaiVan} and Chen, Jason H and Davidson, Matthew G and Lin, Felice and Lin, Jessica and Carleton, Heather A and Mongodin, Emmanuel F and Sensabaugh, George F and Perdreau-Remington, Françoise},
+	month = mar,
+	year = {2006},
+	keywords = {{USA300}},
+	pages = {731--739},
+	file = {Diep et al. - 2006 - Complete genome sequence of USA300, an epidemic cl.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\UGDVUBFD\Diep et al. - 2006 - Complete genome sequence of USA300, an epidemic cl.pdf:application/pdf;ScienceDirect Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\V867JCRT\Diep et al. - 2006 - Complete genome sequence of USA300, an epidemic cl:}
+},
+
+ at article{chen_complete_2013,
+	title = {Complete Genome Sequence of Staphylococcus aureus Z172, a Vancomycin-Intermediate and Daptomycin-Nonsusceptible Methicillin-Resistant Strain Isolated in Taiwan},
+	volume = {1},
+	issn = {2169-8287},
+	doi = {10.1128/genomeA.01011-13},
+	abstract = {We report the complete genome sequence of Z172, a representative strain of sequence type 239-staphylococcal cassette chromosome mec type {III} ({ST239-SCCmec} type {III)} hospital-associated methicillin-resistant Staphylococcus aureus in Taiwan. Strain Z172 also exhibits a vancomycin-intermediate and daptomycin-nonsusceptible phenotype.},
+	language = {eng},
+	number = {6},
+	journal = {Genome announcements},
+	author = {Chen, Feng-Jui and Lauderdale, Tsai-Ling and Wang, Lih-Shinn and Huang, I-Wen},
+	year = {2013},
+	note = {{PMID:} 24309740 
+{PMCID:} {PMC3853063}}
+},
+
+ at article{li_complete_2011,
+	title = {Complete Genome Sequence of Staphylococcus aureus T0131, an {ST239-MRSA-SCCmec} Type {III} Clone Isolated in China},
+	volume = {193},
+	issn = {0021-9193, 1098-5530},
+	url = {http://jb.asm.org/content/193/13/3411},
+	doi = {10.1128/JB.05135-11},
+	number = {13},
+	urldate = {2012-02-24},
+	journal = {Journal of Bacteriology},
+	author = {Li, Yang and Cao, Boyang and Zhang, Yongfu and Zhou, Jiali and Yang, Bin and Wang, Lei},
+	month = jul,
+	year = {2011},
+	keywords = {Methicillin, T0131},
+	pages = {3411--3412},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\MIPWHTFE\Li et al. - 2011 - Complete Genome Sequence of Staphylococcus aureus .pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\VCG5IM5I\3411.full.html:text/html}
+},
+
+ at article{larner-svensson_complete_2013,
+	title = {Complete Genome Sequence of Staphylococcus aureus Strain M1, a Unique t024-{ST8-IVa} Danish Methicillin-Resistant S. aureus Clone},
+	volume = {1},
+	issn = {, 2169-8287},
+	url = {http://genomea.asm.org/content/1/3/e00336-13},
+	doi = {10.1128/genomeA.00336-13},
+	abstract = {We report the genome sequence, in five contigs, of a methicillin-resistant Staphylococcus aureus isolate designated M1. This clinical isolate was from the index patient of a methicillin-resistant Staphylococcus aureus ({MRSA)} outbreak in Copenhagen, Denmark, that started in 2003. This strain is sequence type 8 ({ST8)}, spa type t024, and staphylococcal cassette chromosome mec element ({SCCmec)} type {IVa.}},
+	language = {en},
+	number = {3},
+	urldate = {2014-02-21},
+	journal = {Genome Announcements},
+	author = {Larner-Svensson, Hanna and Worning, Peder and Bartels, Mette D. and Hansen, Lars Hestbjerg and Boye, Kit and Westh, Henrik},
+	month = jun,
+	year = {2013},
+	note = {{PMID:} 23792746},
+	pages = {e00336--13},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\QGD2BC5N\Larner-Svensson et al. - 2013 - Complete Genome Sequence of Staphylococcus aureus .pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\BVAMS3N5\e00336-13.html:text/html}
+},
+
+ at article{chua_complete_2010,
+	title = {Complete Genome Sequence of Staphylococcus aureus Strain {JKD6159}, a Unique Australian Clone of {ST93-IV} Community Methicillin-Resistant Staphylococcus aureus},
+	volume = {192},
+	issn = {0021-9193, 1098-5530},
+	url = {http://jb.asm.org/content/192/20/5556},
+	doi = {10.1128/JB.00878-10},
+	abstract = {Community methicillin-resistant Staphylococcus aureus ({cMRSA)} is an emerging issue that has resulted in multiple worldwide epidemics. We report the first complete genome sequence of an {ST93-MRSA-IV} clinical isolate that caused severe invasive infection and a familial outbreak of skin infection. This isolate is a representative of the most common Australian clone of {cMRSA} that is more distantly related to the previously sequenced genomes of S. aureus.},
+	language = {en},
+	number = {20},
+	urldate = {2012-03-13},
+	journal = {Journal of Bacteriology},
+	author = {Chua, Kyra and Seemann, Torsten and Harrison, Paul F and Davies, John K and Coutts, Scott J and Chen, Honglei and Haring, Volker and Moore, Robert and Howden, Benjamin P and Stinear, Timothy P},
+	month = oct,
+	year = {2010},
+	pages = {5556--5557},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\7IJ2ET94\Chua et al. - 2010 - Complete Genome Sequence of Staphylococcus aureus .pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\RSHCXGCX\5556.html:text/html}
+},
+
+ at article{howden_complete_2010,
+	title = {Complete Genome Sequence of Staphylococcus aureus Strain {JKD6008}, an {ST239} Clone of Methicillin-Resistant Staphylococcus aureus with Intermediate-Level Vancomycin Resistance},
+	volume = {192},
+	issn = {0021-9193, 1098-5530},
+	url = {http://jb.asm.org/content/192/21/5848},
+	doi = {10.1128/JB.00951-10},
+	abstract = {We report here the complete 2.92-Mb genome sequence of a clinical isolate of methicillin-resistant Staphylococcus aureus subsp. aureus that demonstrates intermediate-level vancomycin resistance. The strain, named {JKD6008}, belongs to multilocus sequence type 239 and was isolated from the bloodstream of a patient in New Zealand in 2003.},
+	language = {en},
+	number = {21},
+	urldate = {2012-03-13},
+	journal = {Journal of Bacteriology},
+	author = {Howden, Benjamin P and Seemann, Torsten and Harrison, Paul F and {McEvoy}, Chris R and Stanton, Jo-Ann L and Rand, Christy J and Mason, Chris W and Jensen, Slade O and Firth, Neville and Davies, John K and Johnson, Paul D. R and Stinear, Timothy P},
+	month = nov,
+	year = {2010},
+	keywords = {{JKD6008}},
+	pages = {5848--5849},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\P8G9QHDM\Howden et al. - 2010 - Complete Genome Sequence of Staphylococcus aureus .pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\2GRXTMJ9\Howden et al. - 2010 - Complete Genome Sequence of Staphylococcus aureus .abstract:}
+},
+
+ at article{fraunholz_complete_2013,
+	title = {Complete Genome Sequence of Staphylococcus aureus 6850, a Highly Cytotoxic and Clinically Virulent Methicillin-Sensitive Strain with Distant Relatedness to Prototype Strains},
+	volume = {1},
+	issn = {, 2169-8287},
+	url = {http://genomea.asm.org/content/1/5/e00775-13},
+	doi = {10.1128/genomeA.00775-13},
+	abstract = {Staphylococcus aureus is a frequent human commensal bacterium and pathogen. Here we report the complete genome sequence of strain 6850 (spa type t185; sequence type 50 [{ST50])}, a highly cytotoxic and clinically virulent methicillin-sensitive strain from a patient with complicated S. aureus bacteremia associated with osteomyelitis and septic arthritis.},
+	language = {en},
+	number = {5},
+	urldate = {2014-02-21},
+	journal = {Genome Announcements},
+	author = {Fraunholz, Martin and Bernhardt, Jörg and Schuldes, Jörg and Daniel, Rolf and Hecker, Michael and Sinha, Bhanu},
+	month = oct,
+	year = {2013},
+	note = {{PMID:} 24072870},
+	pages = {e00775--13},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\IQHF7WDB\Fraunholz et al. - 2013 - Complete Genome Sequence of Staphylococcus aureus .pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\SIJ2HDH4\e00775-13.html:text/html}
+},
+
+ at article{costa_complete_2013,
+	title = {Complete Genome Sequence of a Variant of the Methicillin-Resistant Staphylococcus aureus {ST239} Lineage, Strain {BMB9393}, Displaying Superior Ability To Accumulate ica-Independent Biofilm},
+	volume = {1},
+	issn = {, 2169-8287},
+	url = {http://genomea.asm.org/content/1/4/e00576-13},
+	doi = {10.1128/genomeA.00576-13},
+	abstract = {Biofilm is considered an important virulence factor in nosocomial infections. Herein, we report the complete genome sequence of a variant of methicillin-resistant Staphylococcus aureus, strain {BMB9393}, which is highly disseminated in Brazil. This strain belongs to the lineage {ST239} and displays increased ability to accumulate ica-independent biofilm and to invade human epithelial cells.},
+	language = {en},
+	number = {4},
+	urldate = {2014-02-21},
+	journal = {Genome Announcements},
+	author = {Costa, Maiana Oliveira Cerqueira and Beltrame, Cristiana Ossaille and Ferreira, Fabienne Antunes and Botelho, Ana Maria Nunes and Lima, Nicholas Costa Barroso and Souza, Rangel Celso and Almeida, Luiz Gonzaga Paula de and Vasconcelos, Ana Tereza Ribeiro and Nicolás, Marisa Fabiana and Figueiredo, Agnes Marie Sá},
+	month = aug,
+	year = {2013},
+	note = {{PMID:} 23929475},
+	pages = {e00576--13},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\XUX8NEU8\Costa et al. - 2013 - Complete Genome Sequence of a Variant of the Methi.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\TWKD8THE\e00576-13.html:text/html}
+},
+
+ at article{chen_complete_2013-1,
+	title = {Complete Genome Sequence of a Pantón-Valentine Leukocidin-Negative Community-Associated Methicillin-Resistant Staphylococcus aureus Strain of Sequence type 72 from Korea},
+	volume = {8},
+	url = {http://dx.doi.org/10.1371/journal.pone.0072803},
+	doi = {10.1371/journal.pone.0072803},
+	abstract = {In the past decade, community-associated ({CA-)} infections with methicillin-resistant Staphylococcus aureus ({MRSA)} have emerged throughout the world. Different {CA-MRSA} strains dominate in different geographical locations. Many {CA-MRSA} lineages contain genes coding for the Pantón-Valentine leukocidin. However, the role of this leukotoxin in {CA-MRSA} pathogenesis is still controversial. The genome sequences of two key {PVL-positive} {CA-MRSA} strains ({USA300}, {USA400 [...]
+	number = {8},
+	urldate = {2014-02-21},
+	journal = {{PLoS} {ONE}},
+	author = {Chen, Yan and Chatterjee, Som S. and Porcella, Stephen F. and Yu, Yun-Song and Otto, Michael},
+	month = aug,
+	year = {2013},
+	pages = {e72803},
+	file = {PLoS Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\JV2EXCUX\Chen et al. - 2013 - Complete Genome Sequence of a Pantón-Valentine Leu.pdf:application/pdf;PLoS Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\AN3B4VKG\infodoi10.1371journal.pone.html:text/html}
+},
+
+ at article{kos_comparative_2012,
+	title = {Comparative Genomics of Vancomycin-Resistant Staphylococcus aureus Strains and Their Positions within the Clade Most Commonly Associated with Methicillin-Resistant S. aureus Hospital-Acquired Infection in the United States},
+	volume = {3},
+	issn = {, 2150-7511},
+	url = {http://mbio.asm.org/content/3/3/e00112-12},
+	doi = {10.1128/mBio.00112-12},
+	abstract = {Methicillin-resistant Staphylococcus aureus ({MRSA)} strains are leading causes of hospital-acquired infections in the United States, and clonal cluster 5 ({CC5)} is the predominant lineage responsible for these infections. Since 2002, there have been 12 cases of vancomycin-resistant S. aureus ({VRSA)} infection in the United States—all {CC5} strains. To understand this genetic background and what distinguishes it from other lineages, we generated and analyzed high-quality d [...]
+{IMPORTANCE} Invasive methicillin-resistant Staphylococcus aureus ({MRSA)} infection now ranks among the leading causes of death in the United States. Vancomycin is a key last-line bactericidal drug for treating these infections. However, since 2002, vancomycin resistance has entered this species. Of the now 12 cases of vancomycin-resistant S. aureus ({VRSA)}, each was believed to represent a new acquisition of the vancomycin-resistant transposon Tn1546 from enterococcal donors. All acqu [...]
+	language = {en},
+	number = {3},
+	urldate = {2014-02-21},
+	journal = {{mBio}},
+	author = {Kos, Veronica N. and Desjardins, Christopher A. and Griggs, Allison and Cerqueira, Gustavo and Tonder, Andries Van and Holden, Matthew T. G. and Godfrey, Paul and Palmer, Kelli L. and Bodi, Kip and Mongodin, Emmanuel F. and Wortman, Jennifer and Feldgarden, Michael and Lawley, Trevor and Gill, Steven R. and Haas, Brian J. and Birren, Bruce and Gilmore, Michael S.},
+	month = jul,
+	year = {2012},
+	note = {{PMID:} 22617140},
+	pages = {e00112--12},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\Z2PUF9V8\Kos et al. - 2012 - Comparative Genomics of Vancomycin-Resistant Staph.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\BXHJCP48\e00112-12.html:text/html}
+},
+
+ at article{yamamoto_comparative_2012,
+	title = {Comparative Genomics and Drug Resistance of a Geographic Variant of {ST239} Methicillin-Resistant Staphylococcus aureus Emerged in Russia},
+	volume = {7},
+	url = {UR  - http://dx.doi.org/10.1371/journal.pone.0029187,http://dx.doi.org/10.1371/journal.pone.0029187},
+	doi = {10.1371/journal.pone.0029187},
+	abstract = {Two distinct classes of methicillin-resistant Staphylococcus aureus ({MRSA)} are spreading in hospitals (as hospital-acquired {MRSA}, {HA-MRSA)} and in the community (as community-acquired {MRSA}, {CA-MRSA).} Multilocus sequence type ({ST)} 239 {MRSA}, one of the most worldwide-disseminated lineages, has been noted as a representative {HA-MRSA.} Here, we isolated {ST239} {MRSA} (spa type 3 [t037] and staphylococcal cassette chromosome mec [{SCCmec]} type {III.1.1.1)} and its [...]
+	number = {1},
+	urldate = {2012-02-21},
+	journal = {{PLoS} {ONE}},
+	author = {Yamamoto, Tatsuo and Takano, Tomomi and Higuchi, Wataru and Iwao, Yasuhisa and Singur, Olga and Reva, Ivan and Otsuka, Yuta and Nakayashiki, Toru and Mori, Hirotada and Reva, Galina and Kuznetsov, Vladimir and Potapov, Vladimir},
+	month = jan,
+	year = {2012},
+	pages = {e29187},
+	file = {PLoS Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\XHJZTPCQ\Yamamoto et al. - 2012 - Comparative Genomics and Drug Resistance of a Geog.pdf:application/pdf;PLoS Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\5P92ZEGQ\infodoi10.1371journal.pone.html:text/html}
+},
+
+ at article{tenover_characterization_1998,
+	title = {Characterization of Staphylococci with Reduced Susceptibilities to Vancomycin and Other Glycopeptides},
+	volume = {36},
+	url = {http://jcm.asm.org/content/36/4/1020.abstract},
+	abstract = {During the last several years a series of staphylococcal isolates that demonstrated reduced susceptibility to vancomycin or other glycopeptides have been reported. We selected 12 isolates of staphylococci for which the vancomycin {MICs} were ≥4 μg/ml or for which the teicoplanin {MICs} were ≥8 μg/ml and 24 control strains for which the vancomycin {MICs} were ≤2 μg/ml or for which the teicoplanin {MICs} were ≤4 μg/ml to determine the ability of commercial susceptibility testi [...]
+	number = {4},
+	urldate = {2012-02-10},
+	journal = {Journal of Clinical Microbiology},
+	author = {Tenover, Fred C. and Lancaster, Michael V. and Hill, Bertha C. and Steward, Christine D. and Stocker, Sheila A. and Hancock, Gary A. and {O’Hara}, Caroline M. and Clark, Nancye C. and Hiramatsu, Keiichi},
+	month = apr,
+	year = {1998},
+	pages = {1020 --1027},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\936WM8NV\Tenover et al. - 1998 - Characterization of Staphylococci with Reduced Sus.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\X93A2PZQ\1020.full.html:text/html}
+},
+
+ at article{nicola_characterization_1998,
+	title = {Characterization of Erythromycin-Resistant Isolates of Staphylococcus aureus Recovered in the United States from 1958 through 1969},
+	volume = {42},
+	issn = {0066-4804, 1098-6596},
+	url = {http://aac.asm.org/content/42/11/3024},
+	language = {en},
+	number = {11},
+	urldate = {2012-03-13},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Nicola, Federico G and {McDougal}, Linda K and Biddle, James W and Tenover, Fred C},
+	month = nov,
+	year = {1998},
+	pages = {3024--3027},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\FP36HJ99\Nicola et al. - 1998 - Characterization of Erythromycin-Resistant Isolate.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\Q42DBUVK\3024.full.html:text/html}
+},
+
+ at article{chen_characterization_2013,
+	title = {Characterization and Comparison of 2 Distinct Epidemic Community-Associated Methicillin-Resistant Staphylococcus aureus Clones of {ST59} Lineage},
+	volume = {8},
+	url = {http://dx.doi.org/10.1371/journal.pone.0063210},
+	doi = {10.1371/journal.pone.0063210},
+	abstract = {Sequence type ({ST)} 59 is an epidemic lineage of community-associated ({CA)} methicillin-resistant Staphylococcus aureus ({MRSA)} isolates. Taiwanese {CA-MRSA} isolates belong to {ST59} and can be grouped into 2 distinct clones, a virulent Taiwan clone and a commensal Asian-Pacific clone. The Taiwan clone carries the {Panton–Valentine} leukocidin ({PVL)} genes and the staphylococcal chromosomal cassette mec ({SCCmec)} {VT}, and is frequently isolated from patients with seve [...]
+	number = {9},
+	urldate = {2014-02-21},
+	journal = {{PLoS} {ONE}},
+	author = {Chen, Chih-Jung and Unger, Clemens and Hoffmann, Wolfgang and Lindsay, Jodi A. and Huang, Yhu-Chering and Götz, Friedrich},
+	month = sep,
+	year = {2013},
+	pages = {e63210},
+	file = {PLoS Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\TUHQ5DCH\Chen et al. - 2013 - Characterization and Comparison of 2 Distinct Epid.pdf:application/pdf;PLoS Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\GHGX3RDK\infodoi10.1371journal.pone.html:text/html}
+},
+
+ at article{molestina_bei_2010,
+	title = {{BEI} Resources: a biological resource center for parasitologists},
+	volume = {26},
+	issn = {1471-4922},
+	shorttitle = {{BEI} Resources},
+	doi = {10.1016/j.pt.2010.09.003},
+	number = {12},
+	journal = {Trends in parasitology},
+	author = {Molestina, Robert E.},
+	month = dec,
+	year = {2010},
+	note = {{PMID:} 20932801
+{PMCID:} 2980584},
+	pages = {559--560},
+	file = {PubMed Central Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\ZBXVXHFT\Molestina - 2010 - BEI Resources a biological resource center for pa.pdf:application/pdf}
+},
+
+ at article{oliva_anti-staphylococcal_2004,
+	title = {Anti-staphylococcal activity and mode of action of clofazimine},
+	volume = {53},
+	issn = {0305-7453, 1460-2091},
+	url = {http://jac.oxfordjournals.org/content/53/3/435},
+	doi = {10.1093/jac/dkh114},
+	abstract = {Objectives: Infections caused by Staphylococcus aureus might be treated with agents whose primary indications are for other infections. Clofazimine, an established anti-mycobacterial drug, could be such a candidate. However, the anti-staphylococcal properties of clofazimine have not been fully described and its mode of action, possibly involving inhibition of both {RNA} polymerase and a membrane-located target, has not been explored in detail. We have now conducted experimen [...]
+Methods: Using established procedures, we examined the activity of clofazimine against a range of clinical isolates of S. aureus and determined whether it was bactericidal, exhibited a post-antibiotic effect ({PAE)}, or interacted synergically with other agents. The potential for emergence of clofazimine-resistant mutants was also examined. Mode of action studies involved macromolecular synthesis assays, cross-screening against rifampicin-resistant mutants, susceptibility of {RNA} polyme [...]
+Results: Clofazimine demonstrated good anti-staphylococcal activity encompassing {MSSA}, {MRSA} and {GISA.} It was bactericidal and resistant mutants could not be isolated. Clofazimine did not exhibit a {PAE} and failed to act synergically with other drugs. No evidence for specific inhibition of {RNA} polymerase was obtained. Clofazimine caused non-specific inhibition of {DNA}, {RNA} and protein synthesis, consistent with membrane-damaging activity that was detected in three independent  [...]
+Conclusions: Clofazimine is a potent anti-staphylococcal agent. It appears to be a membrane-disrupting agent and does not inhibit {RNA} polymerase.},
+	language = {en},
+	number = {3},
+	urldate = {2012-03-13},
+	journal = {Journal of Antimicrobial Chemotherapy},
+	author = {Oliva, Brunello and {O’Neill}, Alexander John and Miller, Keith and Stubbings, William and Chopra, Ian},
+	month = mar,
+	year = {2004},
+	keywords = {Keywords: Staphylococcus aureus, mechanisms of antibiotic action, membrane-disrupting agent},
+	pages = {435--440},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\9HEEK2SR\Oliva et al. - 2004 - Anti-staphylococcal activity and mode of action of.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\H2XSCCDC\435.html:text/html}
+},
+
+ at article{suzuki_antimicrobial_2011,
+	title = {Antimicrobial ointments and methicillin-resistant Staphylococcus aureus {USA300}},
+	volume = {17},
+	issn = {1080-6059},
+	url = {http://www.ncbi.nlm.nih.gov/pubmed/22000371},
+	doi = {10.3201/eid1710.101365},
+	abstract = {We tested 259 methicillin-resistant Staphylococcus aureus isolates and 2 {USA300} {ATCC} type strains for susceptibility to bacitracin and neomycin contained in over-the-counter antibacterial ointments. Resistance to both bacitracin and neomycin was found only in {USA300.} The use of over-the counter antimicrobial drugs may select for the {USA300} clone.},
+	number = {10},
+	urldate = {2012-03-24},
+	journal = {Emerging Infectious Diseases},
+	author = {Suzuki, Masahiro and Yamada, Kazuhiro and Nagao, Miki and Aoki, Etsuko and Matsumoto, Masakado and Hirayama, Tatsuya and Yamamoto, Hiroaki and Hiramatsu, Reiji and Ichiyama, Satoshi and Iinuma, Yoshitsugu},
+	month = oct,
+	year = {2011},
+	note = {{PMID:} 22000371},
+	keywords = {Anti-Bacterial Agents, Bacitracin, Humans, Methicillin-Resistant Staphylococcus aureus, Microbial Sensitivity Tests, Neomycin, Nonprescription Drugs, Ointments, Polymyxin B},
+	pages = {1917--1920},
+	file = {10-1365-ahead_of_print.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\JIBPH3IC\10-1365-ahead_of_print.pdf:application/pdf}
+},
+
+ at article{mcaleese_analysis_2003,
+	title = {Analysis of mutations in the Staphylococcus aureus {clfB} promoter leading to increased expression},
+	volume = {149},
+	issn = {1350-0872, 1465-2080},
+	url = {http://mic.sgmjournals.org/content/149/1/99},
+	doi = {10.1099/mic.0.25842-0},
+	language = {en},
+	number = {1},
+	urldate = {2012-03-13},
+	journal = {Microbiology},
+	author = {{McAleese}, Fionnuala M and Foster, Timothy J},
+	month = jan,
+	year = {2003},
+	pages = {99--109},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\ISHWNGH5\McAleese i Foster - 2003 - Analysis of mutations in the Staphylococcus aureus.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\HKGC7ABJ\99.full.html:text/html}
+},
+
+ at article{ferrero_analysis_1995,
+	title = {Analysis of {gyrA} and {grlA} mutations in stepwise-selected ciprofloxacin-resistant mutants of Staphylococcus aureus.},
+	volume = {39},
+	issn = {0066-4804},
+	abstract = {Fluoroquinolone-resistant mutants were obtained in vitro from Staphylococcus aureus {RN4220} by stepwise selection on increasing concentrations of ciprofloxacin. Results from sequence analysis of the quinolone resistance-determining region of {GyrA} and of the corresponding region of {GrlA}, the {DNA} topoisomerase {IV} subunit, showed an alteration of Ser-80 to Tyr (corresponding to Ser-83 of Escherichia coli {GyrA)} or Glu-84 to Lys in {GrlA} of both low- and high-level qu [...]
+	number = {7},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Ferrero, L and Cameron, B and Crouzet, J},
+	month = jul,
+	year = {1995},
+	note = {{PMID:} 7492103
+{PMCID:} 162780},
+	pages = {1554--1558},
+	file = {Ferrero et al. - 1995 - Analysis of gyrA and grlA mutations in stepwise-se.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\F7ZMGFB6\Ferrero et al. - 1995 - Analysis of gyrA and grlA mutations in stepwise-se.pdf:application/pdf}
+},
+
+ at article{edgeworth_outbreak_2007,
+	title = {An Outbreak in an Intensive Care Unit of a Strain of Methicillin-Resistant Staphylococcus aureus Sequence Type 239 Associated with an Increased Rate of Vascular Access {Device—Related} Bacteremia},
+	volume = {44},
+	issn = {1058-4838, 1537-6591},
+	url = {http://cid.oxfordjournals.org/content/44/4/493},
+	doi = {10.1086/511034},
+	abstract = {Background. Patients in intensive care units are at high risk of developing methicillin-resistant Staphylococcus aureus ({MRSA)} bacteremia. We report an epidemiological and bacterial genomic analysis of a 2-year outbreak in an intensive care unit of a variant of {MRSA} sequence type 239 (hereafter designated {TW).}
+Methods. A cohort study was conducted to compare risk factors for {MRSA} bacteremia in patients who acquired {TW} versus patients who acquired non-{TW} strains of {MRSA.} Genetic analysis of {TW} was performed using multilocus sequence typing and microarray analysis.
+Results. Patients who acquired {TW} were more likely than patients who acquired non-{TW} strains of {MRSA} to have {MRSA} isolated from blood samples (47\% vs. 13\%; P {\textless} .001) and to have {MRSA-positive} vascular access device—sample cultures (59\% vs. 26\%; P {\textless} .001), but less likely to have {MRSA} isolated from screening swab samples (30\% vs. 71\%; P {\textless} .001). This increased rate of {TW} bacteremia was confined to the first week after acquisition of {TW} i [...]
+Conclusions. To our knowledge, this is the first report to provide direct evidence that strains of {MRSA} can differ in their ability to cause bacteremia. Further genetic and in vitro analysis of the {TW} strain may provide insight into the mechanism of vascular access device—related bacteremia in the intensive care unit environment.},
+	language = {en},
+	number = {4},
+	urldate = {2012-03-13},
+	journal = {Clinical Infectious Diseases},
+	author = {Edgeworth, Jonathan D and Yadegarfar, Ghasem and Pathak, Smriti and Batra, Rahul and Cockfield, Joshua D and Wyncoll, Duncan and Beale, Richard and Lindsay, Jodi A},
+	month = feb,
+	year = {2007},
+	keywords = {{TW20}},
+	pages = {493--501},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\JBCBZJKQ\Edgeworth et al. - 2007 - An Outbreak in an Intensive Care Unit of a Strain .pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\6GRWB37F\493.html:text/html}
+},
+
+ at article{schaaff_elevated_2002,
+	title = {An Elevated Mutation Frequency Favors Development of Vancomycin Resistance in Staphylococcus aureus},
+	volume = {46},
+	issn = {0066-4804},
+	doi = {10.1128/AAC.46.11.3540-3548.2002},
+	abstract = {The emergence of intermediate vancomycin resistance, mainly in methicillin-resistant Staphylococcus aureus strains, has become a great concern. Thorough characterization of clinical and laboratory vancomycin-intermediately resistant S. aureus ({VISA)} strains identified multiple, resistance-associated changes most probably due to stepwise mutations. We hypothesized that an elevated mutation frequency as found, e.g., in mutator strains defective in {DNA} mismatch repair could [...]
+	number = {11},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {Schaaff, Franziska and Reipert, Andrea and Bierbaum, Gabriele},
+	month = nov,
+	year = {2002},
+	note = {{PMID:} 12384362
+{PMCID:} 128741},
+	pages = {3540--3548},
+	file = {PubMed Central Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\XBZAXPN3\Schaaff et al. - 2002 - An Elevated Mutation Frequency Favors Development .pdf:application/pdf}
+},
+
+ at article{laplante_activities_2008,
+	title = {Activities of Clindamycin, Daptomycin, Doxycycline, Linezolid, Trimethoprim-Sulfamethoxazole, and Vancomycin against Community-Associated Methicillin-Resistant Staphylococcus aureus with Inducible Clindamycin Resistance in Murine Thigh Infection and In Vitro Pharmacodynamic Models},
+	volume = {52},
+	issn = {0066-4804, 1098-6596},
+	url = {http://aac.asm.org/content/52/6/2156},
+	doi = {10.1128/AAC.01046-07},
+	abstract = {Controversy exists about the most effective treatment options for community-associated methicillin-resistant Staphylococcus aureus ({CA-MRSA)} and about the ability of these strains to develop inducible resistance to clindamycin during therapy. Using both in vitro pharmacodynamic and murine thigh infection models, we evaluated and compared several antimicrobial compounds against {CA-MRSA.} Strains with inducible macrolide lincosamide-streptogramin type B ({iMLSB)} resistance [...]
+	language = {en},
+	number = {6},
+	urldate = {2014-02-21},
+	journal = {Antimicrobial Agents and Chemotherapy},
+	author = {{LaPlante}, Kerry L. and Leonard, Steven N. and Andes, David R. and Craig, William A. and Rybak, Michael J.},
+	month = jun,
+	year = {2008},
+	note = {{PMID:} 18411321},
+	pages = {2156--2162},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\7EZNHMIR\LaPlante et al. - 2008 - Activities of Clindamycin, Daptomycin, Doxycycline.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\7ETC56CZ\2156.html:text/html}
+},
+
+ at article{hanaki_activated_1998,
+	title = {Activated cell-wall synthesis is associated with vancomycin resistance in methicillin-resistant Staphylococcus aureus clinical strains Mu3 and Mu50},
+	volume = {42},
+	issn = {0305-7453},
+	abstract = {We have previously reported methicillin-resistant Staphylococcus aureus clinical strains, Mu50 and Mu3, representing two categories of vancomycin resistance: Mu50 representing vancomycin-resistant S. aureus ({VRSA)} with {MICs} {\textgreater} or = 8 {mg/L}, and Mu3 representing hetero-{VRSA} with {MICs} {\textless} or = 4 {mg/L} using standard {MIC} determination methods. The mechanisms of vancomycin resistance in these strains were investigated. These strains did not carry  [...]
+	language = {eng},
+	number = {2},
+	journal = {The Journal of antimicrobial chemotherapy},
+	author = {Hanaki, H and Kuwahara-Arai, K and Boyle-Vavra, S and Daum, R S and Labischinski, H and Hiramatsu, K},
+	month = aug,
+	year = {1998},
+	note = {{PMID:} 9738837},
+	keywords = {Acetylglucosamine, Anti-Bacterial Agents, Autolysis, Bacterial Proteins, Carrier Proteins, Cell Wall, Culture Media, Drug Resistance, Microbial, Drug Resistance, Multiple, Hexosyltransferases, Humans, Methicillin Resistance, Muramoylpentapeptide Carboxypeptidase, N-Acetylmuramoyl-L-alanine Amidase, Penicillin-Binding Proteins, Peptidoglycan, Peptidyl Transferases, Staphylococcus aureus, vancomycin},
+	pages = {199--209}
+},
+
+ at article{holt_very_2011,
+	title = {A Very Early-Branching Staphylococcus aureus Lineage Lacking the Carotenoid Pigment Staphyloxanthin},
+	volume = {3},
+	issn = {, 1759-6653},
+	url = {http://gbe.oxfordjournals.org/content/3/881},
+	doi = {10.1093/gbe/evr078},
+	language = {en},
+	urldate = {2012-03-13},
+	journal = {Genome Biology and Evolution},
+	author = {Holt, Deborah C and Holden, Matthew T. G and Tong, Steven Y. C and Castillo-Ramirez, Santiago and Clarke, Louise and Quail, Michael A and Currie, Bart J and Parkhill, Julian and Bentley, Stephen D and Feil, Edward J and Giffard, Philip M},
+	month = jan,
+	year = {2011},
+	keywords = {{MSHR1132}},
+	pages = {881--895},
+	file = {Holt et al. - 2011 - A Very Early-Branching Staphylococcus aureus Linea.pdf:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\QFWW6HD8\Holt et al. - 2011 - A Very Early-Branching Staphylococcus aureus Linea.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\XNHQDERU\881.full.html:text/html}
+},
+
+ at article{nubel_timescale_2010,
+	title = {A Timescale for Evolution, Population Expansion, and Spatial Spread of an Emerging Clone of Methicillin-Resistant Staphylococcus aureus},
+	volume = {6},
+	url = {http://dx.doi.org/10.1371/journal.ppat.1000855},
+	doi = {10.1371/journal.ppat.1000855},
+	abstract = {Author Summary
+Because fossils of bacteria do not exist or are morphologically indeterminate, the timescales of bacterial evolution are widely unknown. We have investigated the short-term evolution of a particular strain of methicillin-resistant Staphylococcus aureus ({MRSA)}, a notorious cause of hospital-associated infections. By comparing 118 kilobases of {DNA} from {MRSA} isolates that had been collected at different points in time, we demonstrate that this strain has accumulated measurable {DNA} s [...]
+	number = {4},
+	urldate = {2014-02-21},
+	journal = {{PLoS} Pathog},
+	author = {Nübel, Ulrich and Dordel, Janina and Kurt, Kevin and Strommenger, Birgit and Westh, Henrik and Shukla, Sanjay K. and Žemličková, Helena and Leblois, Raphaël and Wirth, Thierry and Jombart, Thibaut and Balloux, François and Witte, Wolfgang},
+	month = apr,
+	year = {2010},
+	pages = {e1000855},
+	file = {PLoS Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\ZWH4GRHU\Nübel et al. - 2010 - A Timescale for Evolution, Population Expansion, a.pdf:application/pdf;PLoS Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\MEBZUJ5V\infodoi10.1371journal.ppat.html:text/html}
+}
\ No newline at end of file
diff --git a/other/res_data/sau/res-data.txt b/other/res_data/sau/res-data.txt
new file mode 100644
index 0000000..53ebaae
--- /dev/null
+++ b/other/res_data/sau/res-data.txt
@@ -0,0 +1,960 @@
+li_complete_2011	Complete Genome Sequence of Staphylococcus aureus T0131, an ST239-MRSA-SCCmec Type III Clone Isolated in China
+Meticillin	T0131	R
+
+howden_isolates_2006	Isolates with Low-Level Vancomycin Resistance Associated with Persistent Methicillin-Resistant Staphylococcus aureus Bacteremia
+Vancomycin	JKD6009	S:1
+Vancomycin	JKD6008	I:4
+Teicoplanin	JKD6009	S:0.5
+Teicoplanin	JKD6008	S:2.0
+Oxacillin	JKD6009	R:>256
+Oxacillin	JKD6008	R:>256
+
+howden_genomic_2008	Genomic Analysis Reveals a Point Mutation in the Two-Component Sensor Gene graS That Leads to Intermediate Vancomycin Resistance in Clinical Staphylococcus aureus
+Vancomycin	JKD6009	S:2
+Vancomycin	JKD6008	I:8
+Teicoplanin	JKD6009	S:3
+Teicoplanin	JKD6008	S:8
+Ciprofloxacin	JKD6008	R
+Ciprofloxacin	JKD6009	R
+Tetracycline	JKD6008	R
+Tetracycline	JKD6009	R
+Co-trimoxazole	JKD6008	R
+Co-trimoxazole	JKD6009	R
+Gentamicin	JKD6008	R
+Gentamicin	JKD6009	R
+
+howden_complete_2010	Complete Genome Sequence of Staphylococcus aureus Strain JKD6008, an ST239 Clone of Methicillin-Resistant Staphylococcus aureus with Intermediate-Level Vancomycin Resistance
+Meticillin	JKD6008	R
+Meticillin	JKD6009	R
+
+holden_genome_2010	Genome Sequence of a Recently Emerged, Highly Transmissible, Multi-Antibiotic- and Antiseptic-Resistant Variant of Methicillin-Resistant Staphylococcus aureus, Sequence Type 239 (TW)
+Mupirocin	TW20	I:(5,200)
+
+edgeworth_outbreak_2007	An Outbreak in an Intensive Care Unit of a Strain of Methicillin-Resistant Staphylococcus aureus Sequence Type 239 Associated with an Increased Rate of Vascular Access Device�Related Bacteremia
+Meticillin	TW20	R
+Penicillin	TW20	R
+Erythromycin	TW20	R
+Ciprofloxacin	TW20	R
+Gentamicin	TW20	R
+Neomycin	TW20	R
+Trimethoprim	TW20	R
+Co-trimoxazole	TW20	R
+Tetracycline	TW20	R
+Fusidic acid	TW20	S
+Rifampicin	TW20	S
+Linezolid	TW20	S
+Vancomycin	TW20	S:2
+ 
+highlander_subtle_2007	Subtle genetic changes enhance virulence of methicillin resistant and sensitive Staphylococcus aureus.
+Bacitracin	USA300_TCH1516	R:>128
+Cephalexin	USA300_TCH1516	R:128
+Cefazolin	USA300_TCH1516	R:32
+Cefotaxime	USA300_TCH1516	R:>128
+Ciprofloxacin	USA300_TCH1516	S:0.5
+Clarithromycin	USA300_TCH1516	R:64
+Clindamycin	USA300_TCH1516	S:0.06
+Doxycycline	USA300_TCH1516	S:<0.125
+Erythromycin	USA300_TCH1516	R:64
+Gentamicin	USA300_TCH1516	S:1
+Kanamycin	USA300_TCH1516	R:>128
+Minocycline	USA300_TCH1516	S:<0.125
+Nourseothricin	USA300_TCH1516	S:8
+Oxacillin	USA300_TCH1516	R:128
+Penicillin	USA300_TCH1516	R:32
+Rifampicin	USA300_TCH1516	S:<0.004
+Tetracycline	USA300_TCH1516	S:<0.125
+Tetracycline	USA300_TCH1516	S:<0.125
+Trimethoprim	USA300_TCH1516	S:<0.03
+Sulfamethoxazole	USA300_TCH1516	S:<0.06
+Co-trimoxazole	USA300_TCH1516	S
+Vancomycin	USA300_TCH1516	S:1
+Meticillin	USA300_TCH1516	R
+Bacitracin	USA300_TCH959	S:32
+Cephalexin	USA300_TCH959	S:4
+Cefazolin	USA300_TCH959	S:8
+Cefotaxime	USA300_TCH959	S:2
+Ciprofloxacin	USA300_TCH959	S:0.25
+Clarithromycin	USA300_TCH959	S:<0.125
+Clindamycin	USA300_TCH959	S:0.06
+Doxycycline	USA300_TCH959	S:<0.125
+Erythromycin	USA300_TCH959	S:<0.125
+Gentamicin	USA300_TCH959	S:1
+Kanamycin	USA300_TCH959	S:4
+Minocycline	USA300_TCH959	S:<0.125
+Nourseothricin	USA300_TCH959	S:4
+Oxacillin	USA300_TCH959	S:1
+Penicillin	USA300_TCH959	R:4
+Rifampicin	USA300_TCH959	S:<0.004
+Tetracycline	USA300_TCH959	S:<0.125
+Tetracycline	USA300_TCH959	S:<0.125
+Trimethoprim	USA300_TCH959	S:<0.06
+Sulfamethoxazole	USA300_TCH959	S:<0.125
+Co-trimoxazole	USA300_TCH959	S
+Vancomycin	USA300_TCH959	S:1
+Meticillin	USA300_TCH959	S
+
+kennedy_complete_2010	Complete Nucleotide Sequence Analysis of Plasmids in Strains of Staphylococcus aureus Clone USA300 Reveals a High Level of Identity among Isolates with Closely Related Core Genome Sequences
+Gentamicin	USA300_FPR3757	I:8
+Kanamycin	USA300_FPR3757	R:>64
+Tobramycin	USA300_FPR3757	S:2
+Rifampicin	USA300_FPR3757	S:<0.125
+Ciprofloxacin	USA300_FPR3757	R:64
+Levofloxacin	USA300_FPR3757	R:16
+Gatifloxacin	USA300_FPR3757	U:2
+Vancomycin	USA300_FPR3757	S:2
+Teicoplanin	USA300_FPR3757	S:0.25
+Clindamycin	USA300_FPR3757	R:>64
+Erythromycin	USA300_FPR3757	R:>64
+Linezolid	USA300_FPR3757	S:4
+Oxacillin	USA300_FPR3757	R:32
+Chloramphenicol	USA300_FPR3757	I:16
+Mupirocin	USA300_FPR3757	R:>64
+Fusidic acid	USA300_FPR3757	S:0.25
+Tetracycline	USA300_FPR3757	R:64
+Minocycline	USA300_FPR3757	S:0.5
+Doxycycline	USA300_FPR3757	S:4
+Trimethoprim	USA300_FPR3757	S
+Sulfamethoxazole	USA300_FPR3757	S
+Co-trimoxazole	USA300_FPR3757	S
+Quinupristin/dalfopristin	USA300_FPR3757	S
+Tigecycline	USA300_FPR3757	S
+
+diep_complete_2006	Complete genome sequence of USA300, an epidemic clone of community-acquired meticillin-resistant Staphylococcus aureus
+Mupirocin	USA300_FPR3757	R:>1024
+Tetracycline	USA300_FPR3757	R
+Meticillin	USA300_FPR3757	R
+Erythromycin	USA300_FPR3757	R
+Co-trimoxazole	USA300_FPR3757	S
+Penicillin	USA300_FPR3757	R
+Clindamycin	USA300_FPR3757	R
+Ciprofloxacin	USA300_FPR3757	R
+
+gill_insights_2005	Insights on evolution of virulence and resistance from the complete genome analysis of an early methicillin-resistant Staphylococcus aureus strain and a biofilm-producing methicillin-resistant Staphylococcus epidermidis strain
+Meticillin	COL	R
+
+eyyunni_network_2011	Network on Antimicrobial Resistance in Staphylococcus aureus
+Ciprofloxacin	COL	S:0.25
+Clindamycin	COL	S:0.06
+Erythromycin	COL	S:0.25
+Gentamicin	COL	S:0.12
+Linezolid	COL	S:2
+Oxacillin	COL	R:16
+Penicillin	COL	R:>2
+Quinupristin/dalfopristin	COL	S:0.5
+Teicoplanin	COL	S:2
+Tetracycline	COL	R:>16
+Trimethoprim	COL	S:1
+Sulfamethoxazole	COL	S:19
+Co-trimoxazole	COL	S
+Vancomycin	COL	S:2
+Ciprofloxacin	MRSA252	R:>16
+Clindamycin	MRSA252	R:>4
+Erythromycin	MRSA252	R:>8
+Gentamicin	MRSA252	S:0.5
+Linezolid	MRSA252	S:1
+Oxacillin	MRSA252	R:>16
+Penicillin	MRSA252	R:>2
+Quinupristin/dalfopristin	MRSA252	S:1
+Teicoplanin	MRSA252	S:0.5
+Trimethoprim	MRSA252	S:0.25
+Sulfamethoxazole	MRSA252	S:4.75
+Co-trimoxazole	MRSA252	S
+Vancomycin	MRSA252	S:0.5
+Ciprofloxacin	MSSA476	S:0.25
+Clindamycin	MSSA476	S:0.06
+Erythromycin	MSSA476	S:0.5
+Gentamicin	MSSA476	S:1
+Linezolid	MSSA476	S:2
+Oxacillin	MSSA476	S:0.5
+Penicillin	MSSA476	R:>2
+Quinupristin/dalfopristin	MSSA476	S:0.25
+Teicoplanin	MSSA476	 S:0.5
+Trimethoprim	MSSA476	S:0.25
+Sulfamethoxazole	MSSA476	S:4.75
+Co-trimoxazole	MSSA476	S
+Vancomycin	MSSA476	S:1
+Ciprofloxacin	MW2	S:0.5
+Clindamycin	MW2	S:0.12
+Daptomycin	MW2	S:0.5
+Erythromycin	MW2	S:0.5
+Gentamicin	MW2	S:0.5
+Linezolid	MW2	S:2
+Oxacillin	MW2	R:>16
+Penicillin	MW2	R:>2
+Quinupristin/dalfopristin	MW2	S:0.25
+Teicoplanin	MW2	S:1
+Tetracycline	MW2	R:32
+Trimethoprim	MW2	S:<=0.25
+Sulfamethoxazole	MW2	S:<=4.75
+Co-trimoxazole	MW2	S
+Vancomycin	MW2	S:1
+Meticillin	MW2	R
+Ciprofloxacin	MN8	S:0.5
+Clindamycin	MN8	S:0.12
+Erythromycin	MN8	S:0.5
+Gentamicin	MN8	S:0.5
+Linezolid	MN8	S:2
+Oxacillin	MN8	S:0.12
+Penicillin	MN8	R:>2
+Quinupristin/dalfopristin	MN8	S:0.5
+Teicoplanin	MN8	S:0.5
+Trimethoprim	MN8	S:<=0.25
+Sulfamethoxazole	MN8	S:4.75
+Co-trimoxazole	MN8	S
+Vancomycin	MN8	S:1	
+Ciprofloxacin	Mu50	R:16
+Gentamicin	Mu50	R:>16
+Oxacillin	Mu50	R:>32
+Penicillin	Mu50	R:>8
+Quinupristin/dalfopristin	Mu50	S:0.12
+Teicoplanin	Mu50	S:8
+Tetracycline	Mu50	R:32
+Trimethoprim	Mu50	S:<=0.12
+Sulfamethoxazole	Mu50	S:2.28
+Co-trimoxazole	Mu50	S
+Vancomycin	Mu50	I:8
+Ciprofloxacin	NCTC_8325	S:0.25
+Clindamycin	NCTC_8325	S:0.06
+Erythromycin	NCTC_8325	S:0.25
+Gentamicin	NCTC_8325	S:1
+Linezolid	NCTC_8325	S:1
+Oxacillin	NCTC_8325	S:0.25
+Penicillin	NCTC_8325	S:0.03
+Quinupristin/dalfopristin	NCTC_8325	S:0.25
+Teicoplanin	NCTC_8325	S:0.5
+Vancomycin	NCTC_8325	S:1
+Trimethoprim	NCTC_8325	S:<=0.25
+Sulfamethoxazole	NCTC_8325	S:4.75
+Co-trimoxazole	NCTC_8325	S
+Ciprofloxacin	N315	S:0.5
+Clindamycin	N315	R:>4
+Erythromycin	N315	R:>8
+Gentamicin	N315	S:1
+Linezolid	N315	S:1
+Oxacillin	N315	R:>16
+Penicillin	N315	R:>2
+Quinupristin/dalfopristin	N315	S:0.5
+Teicoplanin	N315	S:0.25
+Vancomycin	N315	S:0.5
+Trimethoprim	N315	S:<=0.25
+Sulfamethoxazole	N315	S:4.75
+Co-trimoxazole	N315	S
+
+
+holden_complete_2004	Complete genomes of two clinical Staphylococcus aureus strains: Evidence for the rapid evolution of virulence and drug resistance
+Penicillin	MSSA476	R
+Fusidic acid	MSSA476	R
+Ciprofloxacin	MSSA476	S
+Rifampicin	MSSA476	S
+Tetracycline	MSSA476	S
+Trimethoprim	MSSA476	S
+Erythromycin	MSSA476	S
+Gentamicin	MSSA476	S
+Amikacin	MSSA476	S
+Meticillin	MSSA476	S
+Flucloxacillin	MSSA476	S
+Penicillin	MRSA252	R
+Ciprofloxacin	MRSA252	R
+Erythromycin	MRSA252	R
+Meticillin	MRSA252	R
+Fusidic acid	MRSA252	S
+Rifampicin	MRSA252	S
+Tetracycline	MRSA252	S
+Trimethoprim	MRSA252	S
+Gentamicin	MRSA252	S
+Amikacin	MRSA252	S
+
+nubel_timescale_2010	A Timescale for Evolution, Population Expansion, and Spatial Spread of an Emerging Clone of Methicillin-Resistant Staphylococcus aureus
+Meticillin	04-02981	R
+Penicillin	04-02981	R
+Oxacillin	04-02981	R
+Erythromycin	04-02981	R
+Clindamycin	04-02981	R
+Ciprofloxacin	04-02981	R
+Moxifloxacin	04-02981	R
+Chloramphenicol	04-02981	R
+Gentamicin	04-02981	S
+Fusidic acid	04-02981	S
+Tetracycline	04-02981	S
+Tigecycline	04-02981	S
+Vancomycin	04-02981	S
+Teicoplanin	04-02981	S
+Fosfomycin	04-02981	S
+Linezolid	04-02981	S
+Mupirocin	04-02981	S
+
+laplante_activities_2008	Activities of Clindamycin, Daptomycin, Doxycycline, Linezolid, Trimethoprim-Sulfamethoxazole, and Vancomycin against Community-Associated Methicillin-Resistant Staphylococcus aureus with Inducible Clindamycin Resistance in Murine Thigh Infection and In Vitro Pharmacodynamic Models
+Clindamycin	MW2	S:0.125
+Daptomycin	MW2	S:0.063
+Doxycycline	MW2	S:0.25
+Erythromycin	MW2	S:0.5
+Linezolid	MW2	S:2
+Trimethoprim	MW2	S:0.25
+Sulfamethoxazole	MW2	S:5
+Co-trimoxazole	MW2	S
+Vancomycin	MW2	S:1
+
+lindqvist_detection_2011	Detection and characterisation of SCCmec; remnants in multiresistant methicillin�susceptible Staphylococcus aureus; causing a clonal outbreak in a Swedish county
+Erythromycin	ECT-R_2	R
+Clindamycin	ECT-R_2	R
+Tobramycin	ECT-R_2	R
+Meticillin	ECT-R_2	S
+
+mwangi_tracking_2007	Tracking the in vivo evolution of multidrug resistance in Staphylococcus aureus by whole�genome sequencing
+Tetracycline	JH1	S
+Meticillin	JH1	R
+Oxacillin	JH1	S:0.75
+Vancomycin	JH1	S:1
+Linezolid	JH1	S
+Daptomycin	JH1	S:0.01
+Rifampicin	JH1	S:0.01
+Quinupristin/dalfopristin	JH1	S
+Tetracycline	JH9	S
+Meticillin	JH9	R
+Oxacillin	JH9	S:0.75
+Vancomycin	JH9	I:8
+Linezolid	JH9	S
+Daptomycin	JH9	S:1
+Rifampicin	JH9	R:16
+Quinupristin/dalfopristin	JH1	S
+
+sieradzki_evolution_2003	Evolution of a Vancomycin-Intermediate Staphylococcus aureus Strain In Vivo: Multiple Changes in the Antibiotic Resistance Phenotypes of a Single Lineage of Methicillin-Resistant S. aureus under the Impact of Antibiotics Administered for Chemotherapy
+Erythromycin	JH1	R
+Clindamycin	JH1	R
+Levofloxacin	JH1	R
+Erythromycin	JH9	R
+Clindamycin	JH9	R
+Levofloxacin	JH9	R
+
+chua_complete_2010	Complete genome sequence of Staphylococcus aureus strain JKD6159, a unique Australian clone of ST93-IV community methicillin-resistant Staphylococcus aureus
+Meticillin	JKD6159	R
+Erythromycin	JKD6159	S
+Clindamycin	JKD6159	S
+Tetracycline	JKD6159	S
+Ciprofloxacin	JKD6159	S
+Rifampicin	JKD6159	S
+Fusidic acid	JKD6159	S
+Vancomycin	JKD6159	S
+
+herron-olson_molecular_2007	Molecular correlates of host specialization in Staphylococcus aureus
+Spectinomycin	RF122	R:64
+
+schijffelen_whole_2010	Whole genome analysis of a livestock-associated methicillin-resistant Staphylococcus aureus ST398 isolate from a case of human endocarditis
+Tetracycline	ST398	R
+Meticillin	ST398	R
+Ciprofloxacin	ST398	R
+
+smith_methicillinresistant_2009	Methicillin�Resistant Staphylococcus aureus (MRSA) Strain ST398 Is Present in Midwestern U.S. Swine and Swine Workers
+Oxacillin	ST398	R
+Penicillin	ST398	R
+
+ekkelenkamp_endocarditis_2006	Endocarditis due to meticillin-resistant Staphylococcus aureus originating from pigs
+Erythromycin	ST398	S
+Clindamycin	ST398	S
+Vancomycin	ST398	S
+Fusidic acid	ST398	S
+Rifampicin	ST398	S
+
+molestina_bei_2010	BEI Resources: a biological resource center for parasitologists
+Meticillin	TCH60	R
+
+garciaalvarez_meticillinresistant_2011	Meticillin�resistant Staphylococcus aureus with a novel mecA homologue in human and bovine populations in the UK and Denmark: a descriptive study
+Meticillin	LGA251	R
+Penicillin	LGA251	R
+Oxacillin	LGA251	R:16
+Cefoxitin	LGA251	R:32
+Gentamicin	LGA251	S
+Neomycin	LGA251	S
+Ciprofloxacin	LGA251	S
+Tetracycline	LGA251	S
+Erythromycin	LGA251	S
+Clindamycin	LGA251	S
+Fusidic acid	LGA251	S
+Chloramphenicol	LGA251	S
+Teicoplanin	LGA251	S
+Rifampicin	LGA251	S
+Trimethoprim	LGA251	S
+Linezolid	LGA251	S
+Mupirocin	LGA251	S
+
+holt_very_2011	A Very Early-Branching Staphylococcus aureus Lineage Lacking the Carotenoid Pigment Staphyloxanthin
+Oxacillin	MSHR1132	R
+
+broad_database
+Meticillin	EMRSA-15	R
+
+lin_proinflammatory_2011	Proinflammatory Exoprotein Characterization of Toxic Shock Syndrome Staphylococcus aureus
+Meticillin	MN8	S
+
+dickgiesser_toxic_1987	Toxic shock syndrome toxin-1 (TSST-1): influence of its production by subinhibitory antibiotic concentrations
+Tetracycline	MN8	S:0.12
+Erythromycin	MN8	S:0.12
+Clindamycin	MN8	S:0.062
+Lincomycin	MN8	S:0.5
+Kanamycin	MN8	S:1.0
+Tunicamycin	MN8	U:64
+
+mcaleese_analysis_2003	Analysis of mutations in the Staphylococcus aureus clfB promoter leading to increased expression
+Tetracycline	Newman	S:1.5
+Tetracycline	NCTC_8325	S:1.5
+
+baba_genome_2008	Genome Sequence of Staphylococcus aureus Strain Newman and Comparative Analysis of Staphylococcal Genomes: Polymorphism and Evolution of Two Major Pathogenicity Islands
+Meticillin	Newman	S
+
+bikels-goshen_staphylococcal_2010	Staphylococcal strains adapted to epigallocathechin gallate (EGCG) show reduced susceptibility to vancomycin, oxacillin and ampicillin, increased heat tolerance, and altered cell morphology
+Vancomycin	Newman	S:0.5
+Vancomycin	RN4220	S:1
+Oxacillin	Newman	S:0.25
+Oxacillin	RN4220	S:1
+Ampicillin	Newman	U:4
+Ampicillin	RN4220	U:4
+
+desbois_wax_2011	Wax moth larva (Galleria mellonella): an in vivo model for assessing the efficacy of antistaphylococcal agents
+Daptomycin	Newman	S:2
+Vancomycin	Newman	S:2
+Penicillin	Newman	S
+
+burnside_regulation_2010	Regulation of Hemolysin Expression and Virulence of Staphylococcus aureus by a Serine/Threonine Kinase and Phosphatase
+Imipenem	Newman	S:0.047
+Ceftriaxone	Newman	R:4
+Ciprofloxacin	Newman	S:0.125
+
+tenover_characterization_1998	Characterization of Staphylococci with Reduced Susceptibilities to Vancomycin and Other Glycopeptides
+Penicillin	Mu50	R
+Oxacillin	Mu50	R
+Clindamycin	Mu50	R
+Erythromycin	Mu50	R
+Gentamicin	Mu50	R
+Ciprofloxacin	Mu50	R
+Rifampicin	Mu50	R
+Tetracycline	Mu50	R
+Co-trimoxazole	Mu50	S
+Chloramphenicol	Mu50	S
+Vancomycin	Mu50	I:8
+Teicoplanin	Mu50	S:8
+LY333328	Mu50	U:4
+Quinupristin/dalfopristin	Mu50	S:0.5
+Linezolid	Mu50	S:2
+SCH27899	Mu50	U:0.5
+Vancomycin	Mu3	S:2
+Teicoplanin	Mu3	I:16
+LY333328	Mu3	U:4
+Quinupristin/dalfopristin	Mu3	S:1
+Linezolid	Mu3	S:2
+SCH27899	Mu3	U:0.5
+Penicillin	Mu3	R
+Oxacillin	Mu3	R
+Clindamycin	Mu3	R
+Erythromycin	Mu3	R
+Gentamicin	Mu3	R
+Ciprofloxacin	Mu3	R
+Rifampicin	Mu3	S
+Tetracycline	Mu3	R
+Co-trimoxazole	Mu3	S
+Chloramphenicol	Mu3	I
+
+meehl_interaction_2007	Interaction of the graRS Two�Component System with the vraFG ABC�Transporter to Support Vancomycin�Intermediate Resistance in Staphylococcus aureus
+Bacitracin	Mu50	U:64
+D-Cycloserine	Mu50	U:128
+Fosfomycin	Mu50	U:1024
+Oxacillin	Mu50	R:512
+Vancomycin	Mu50	I:8
+Daptomycin	Mu50	S:2
+Gramicidin	Mu50	R:>=512
+Lactoferricin	Mu50	R:>=512
+Nisin	Mu50	R:>=1024
+Polymyxin B	Mu50	U:128
+Chloramphenicol B	Mu50	S:8
+Erythromycin	Mu50	R:>=2048
+Gentamicin	Mu50	R:256
+Linezolid	Mu50	S:2
+Mupirocin	Mu50	S:0.25
+Neomycin	Mu50	U:128
+Tetracycline	Mu50	R:64
+Tobramycin	Mu50	R:>=2048
+Ciprofloxacin	Mu50	R:32
+Novobiocin	Mu50	S:0.125
+Rifampicin	Mu50	R:1024
+Trimethoprim	Mu50	S:4
+Co-trimoxazole	Mu50	S
+
+hershberger_evaluation_1999	Evaluation of Bactericidal Activities of LY333328, Vancomycin, Teicoplanin, Ampicillin-Sulbactam, Trovafloxacin, and RP59500 Alone or in Combination with Rifampin or Gentamicin against Different Strains of Vancomycin-Intermediate Staphylococcus aureus by Time-Kill Curve Methods
+Vancomycin	Mu50	I:8
+LY333328	Mu50	U:2
+Teicoplanin	Mu50	I:16
+Ampicillin	Mu50	U:64
+Gentamicin	Mu50	R:128
+Rifampicin	Mu50	R:2048
+RP59500	Mu50	U:0.5
+Oxazolidinone	Mu50	U:2
+Trovafloxacin	Mu50	U:2
+Clinafloxacin	Mu50	U:1
+Tetracycline	Mu50	R:128
+Levofloxacin	Mu50	R:8
+Co-trimoxazole	Mu50	S
+Trimethoprim	Mu50	S:0.06
+Sulfamethoxazole	Mu50	S:0.125
+
+kuroda_whole_2001	Whole genome sequencing of meticillin-resistant Staphylococcus aureus
+Meticillin	Mu50	R:512
+Meticillin	N315	R:4
+
+neoh_mutated_2008	Mutated Response Regulator graR Is Responsible for Phenotypic Conversion of Staphylococcus aureus from Heterogeneous Vancomycin-Intermediate Resistance to Vancomycin-Intermediate Resistance
+Vancomycin	N315	S:0.5
+Teicoplanin	N315	S:1
+Oxacillin	N315	S:2
+Daptomycin	N315	S:0.5
+Meticillin	Mu3	R
+Vancomycin	Mu3	S:2
+Teicoplanin	Mu3	I:7
+Oxacillin	Mu3	R:1025
+Daptomycin	Mu3	S:1
+Vancomycin	Mu50	I:4
+Teicoplanin	Mu50	S:7
+Oxacillin	Mu50	R:512
+Daptomycin	Mu50	S:3
+
+crossley_staphylococci_2010	Staphylococci in human disease
+Imipenem	Mu50	R:>32
+Gentamicin	Mu3	R:384
+Teicoplanin	Mu3	I:24
+Bacitracin	Mu3	R:256
+Daptomycin	Mu3	S:2
+Chloramphenicol	N315	S:8
+
+brackman_quorum_2011	Quorum Sensing Inhibitors Increase the Susceptibility of Bacterial Biofilms to Antibiotics In Vitro and In Vivo
+Clindamycin	Mu50	R:512
+Vancomycin	Mu50	I:8
+
+oneill_insertional_2002	Insertional inactivation of mutS in Staphylococcus aureus reveals potential for elevated mutation frequencies, although the prevalence of mutators in clinical isolates is low
+Rifampicin	RN4220	S:0.016
+Fusidic acid	RN4220	S:0.125
+Norfloxacin	RN4220	S:1
+Mupirocin	RN4220	S:0.064
+Rifampicin	NCTC_8325	S:0.016
+Fusidic acid	NCTC_8325	S:0.064
+Norfloxacin	NCTC_8325	S:1
+Mupirocin	NCTC_8325	S:0.016
+Rifampicin	Mu50	R:>256
+Fusidic acid	Mu50	S:2
+Norfloxacin	Mu50	U:128
+Mupirocin	Mu50	S:0.032
+
+hanaki_activated_1998	Activated cell-wall synthesis is associated with vancomycin resistance in methicillin-resistant Staphylococcus aureus clinical strains Mu3 and Mu50
+Vancomycin	Mu50	I:8
+Vancomycin	Mu3	S:3
+
+oliva_anti-staphylococcal_2004	Anti-staphylococcal activity and mode of action of clofazimine
+Clofazimine	NCTC_8325	S:2
+CTAB	NCTC_8325	U:2
+Ciprofloxacin	NCTC_8325	S:2
+Fusidic acid	NCTC_8325	S:0.064
+Mupirocin	NCTC_8325	S:0.25
+Norfloxacin	NCTC_8325	S:1
+Nisin	NCTC_8325	S:2
+IB-367	NCTC_8325	S:2
+Rifampicin	NCTC_8325	S:0.01
+Tetracycline	NCTC_8325	S:0.25
+
+xue_sequence_2011	Sequence Diversities of Serine-Aspartate Repeat Genes among Staphylococcus aureus Isolates from Different Hosts Presumably by Horizontal Gene Transfer
+Meticillin	NCTC_8325	S
+
+storrs_genetic_1988	Genetic analysis of gentamicin resistance in methicillin- and gentamicin-resistant strains of Staphylococcus aureus isolated in Dublin hospitals.
+Gentamicin	RN4220	S:1.0
+Kanamycin	RN4220	S:0.5
+Tobramycin	RN4220	S:1.0
+Sisomicin	RN4220	S:0.2
+Amikacin	RN4220	S:0.2
+Netilmicin	RN4220	S:0.2
+
+oneill_molecular_2006	Molecular Genetic and Structural Modeling Studies of Staphylococcus aureus RNA Polymerase and the Fitness of Rifampin Resistance Genotypes in Relation to Clinical Prevalence
+Rifampicin	RN4220	S:0.008
+
+kuroda_whole_2001	Whole genome sequencing of meticillin-resistant Staphylococcus aureus
+Meticillin	N315	R
+
+kuroda_two-component_2003	Two-component system VraSR positively modulates the regulation of cell-wall biosynthesis pathway in Staphylococcus aureus
+Vancomycin	N315	S:0.5
+Teicoplanin	N315	S:0.5
+Oxacillin	N315	R:8
+Cefalexin	N315	U:64
+Ceftizoxime	N315	R:4
+Imipenem	N315	S:0.5
+Bacitracin	N315	S:16
+D-Cycloserine	N315	U:32
+Fosfomycin	N315	U:8
+Levofloxacin	N315	S:0.125
+
+beltramini_modulation_2009	Modulation of Cell Wall Structure and Antimicrobial Susceptibility by a Staphylococcus aureus Eukaryote-Like Serine/Threonine Kinase and Phosphatase
+Cefazolin	N315	R:>16
+Cefotaxime	N315	R:>256
+Ceftriaxone	N315	R:>32
+Ertapenem	N315	R:>32
+Imipenem	N315	R:>8
+Amoxicillin-clavulanat	N315	U:>4
+Ampicillin	N315	U:8
+Clindamycin	N315	R:>4
+Erythromycin	N315	R:>4
+Gentamicin	N315	S:<=4
+Levofloxacin	N315	S:<=2
+Linezolid	N315	S:2
+Moxifloxacin	N315	S:<=2
+Nitrofurantoin	N315	S:<=32
+Oxacillin	N315	R:>2
+Penicillin	N315	R:>8
+Rifampicin	N315	S:<=1
+Quinupristin/dalfopristin	N315	S:<=0.5
+Tetracycline	N315	S:<=4
+Trimethoprim	N315	S:<=0.5
+Sulfamethoxazole	N315	S:<=9.5
+Co-trimoxazole	N315	S
+
+yamamoto_comparative_2012	Comparative Genomics and Drug Resistance of a Geographic Variant of ST239 Methicillin-Resistant Staphylococcus aureus Emerged in Russia
+Chloramphenicol	16K	R
+Rifampicin	16K	R
+Trimethoprim	16K	S
+Co-trimoxazole	16K	S
+
+rolain_genomic_2009	Genomic analysis of an emerging multiresistant Staphylococcus aureus strain rapidly spreading in cystic fibrosis patients revealed the presence of an antibiotic inducible bacteriophage
+Gentamicin	CF-Marseille	S
+Tobramycin	CF-Marseille	R
+Kanamycin	CF-Marseille	R
+Erythromycin	CF-Marseille	R
+Lincomycin	CF-Marseille	R
+Ofloxacin	CF-Marseille	R
+Tetracycline	CF-Marseille	R
+Meticillin	CF-Marseille	R
+
+wyke_synthesis_1982	Synthesis of peptidoglycan in vivo in methicillin-resistant Staphylococcus aureus
+Meticillin	MR1	R
+
+kuroda_identification_2000	Identification of the up- and down-regulated genes in vancomycin-resistant Staphylococcus aureus strains Mu3 and Mu50 by cDNA differential hybridization method
+Vancomycin	Mu3	S:2
+Vancomycin	Mu50	I:8
+Vancomycin	Mu50-omega	S:0.5
+
+cui_contribution_2009	Contribution of vraSR and graSR Point Mutations to Vancomycin Resistance in Vancomycin-Intermediate Staphylococcus aureus
+Ampicillin	Mu50	U:8
+Ampicillin	Mu50-omega	U:1
+Meticillin	Mu50	R:>256
+Meticillin	Mu50-omega	R:>256
+Oxacillin	Mu50	R:>256
+Oxacillin	Mu50-omega	R:>8
+Imipenem	Mu50	R:>32
+Imipenem	Mu50-omega	R:>0.38
+Cephalothin	Mu50	R:128
+Cephalothin	Mu50-omega	R:>0.25
+Ceftizoxime	Mu50	R:>256
+Ceftizoxime	Mu50-omega	R:>0.38
+Cefoxitin	Mu50	R:>256
+Cefoxitin	Mu50-omega	R:32
+Ceftriaxone	Mu50	R:>256
+Ceftriaxone	Mu50-omega	I:3
+Vancomycin	Mu50	I:6
+Vancomycin	Mu50-omega	S:0.5
+Teicoplanin	Mu50	I:14
+Teicoplanin	Mu50-omega	S:0.5
+Bacitracin	Mu50	R:>256
+Bacitracin	Mu50-omega	S:12
+Erythromycin	Mu50	R:>250
+Erythromycin	Mu50-omega	R:>256
+Clarithromycin	Mu50	R:>256
+Clarithromycin	Mu50-omega	R:>256
+Azithromycin	Mu50	R:>256
+Azithromycin	Mu50-omega	R:>256
+Tetracycline	Mu50	R:>32
+Tetracycline	Mu50-omega	R:>32
+Doxycycline	Mu50	I:8
+Doxycycline	Mu50-omega	I:8
+Minocycline	Mu50	I:12
+Minocycline	Mu50-omega	I:10
+Chloramphenicol	Mu50	S:4
+Chloramphenicol	Mu50-omega	S:4
+Gentamicin	Mu50	R:128
+Gentamicin	Mu50-omega	R:64
+Quinupristin/dalfopristin	Mu50	S:0.5
+Quinupristin/dalfopristin	Mu50-omega	S:0.5
+Clindamycin	Mu50	R:>256
+Clindamycin	Mu50-omega	R:>256
+Levofloxacin	Mu50	R:32
+Levofloxacin	Mu50-omega	R:32
+Sparfloxacin	Mu50	R:>32
+Sparfloxacin	Mu50-omega	R:>32
+Ciprofloxacin	Mu50	R:>32
+Ciprofloxacin	Mu50-omega	R:>32
+Daptomycin	Mu50	S:2
+Daptomycin	Mu50-omega	S:1
+Linezolid	Mu50	S:0.5
+Linezolid	Mu50-omega	S:0.5
+
+stegger_genome_2012	Genome Sequence of Staphylococcus aureus Strain 11819-97, an ST80-IV European Community-Acquired Methicillin-Resistant Isolate
+Meticillin	11819-97	R
+
+#sa-leao_low_2001	
+#Meticillin	H19	S
+
+crisostomo_evolution_2001	The evolution of methicillin resistance in Staphylococcus  aureus: Similarity of genetic backgrounds in historically early  methicillin-susceptible and -resistant isolates and contemporary epidemic clones
+Penicillin	E1410	R
+Streptomycin	E1410	R
+Tetracycline	E1410	S
+
+robinson_re-emergence_2005	Re-emergence of early pandemic Staphylococcus aureus as a community-acquired meticillin-resistant clone
+Meticillin	55/2053	S
+Meticillin	M899	S
+Meticillin	E1410	S
+Meticillin	M876	S
+Meticillin	C101	S
+Meticillin	M1015	S
+Meticillin	M809	S
+Meticillin	Btn1260	S
+Meticillin	WBG10049	R
+Meticillin	A017934/97	R
+Meticillin	WW2703/97	R
+Meticillin	EMRSA16	R
+
+snyder_patric:_2007	PATRIC: The VBI PathoSystems Resource Integration Center
+Vancomycin	MRSA177	S
+Teicoplanin	MRSA177	S
+Chloramphenicol	MRSA177	S
+Linezolid	MRSA177	S
+Ciprofloxacin	MRSA177	S
+Gentamicin	MRSA177	S
+Rifampicin	MRSA177	S
+Meticillin	MRSA177	R
+Vancomycin	MRSA131	S
+Teicoplanin	MRSA131	S
+Chloramphenicol	MRSA131	S
+Linezolid	MRSA131	S
+Ciprofloxacin	MRSA131	S
+Gentamicin	MRSA131	S
+Rifampicin	MRSA131	S
+Meticillin	MRSA131	R
+
+nicola_characterization_1998	Characterization of Erythromycin-Resistant Isolates of Staphylococcus aureus Recovered in the United States from 1958 through 1969
+Erythromycin	65-1322	R
+Penicillin	65-1322	R
+Tetracycline	65-1322	R
+Spectinomycin	65-1322	R
+Erythromycin	58-424	R
+Penicillin	58-424	R
+Tetracycline	58-424	R
+Spectinomycin	58-424	R
+Erythromycin	68-397	R
+Penicillin	68-397	R
+Tetracycline	68-397	R
+Spectinomycin	68-397	R
+
+peleg_whole_2012	Whole Genome Characterization of the Mechanisms of Daptomycin Resistance in Clinical and Laboratory Derived Isolates of Staphylococcus aureus
+Vancomycin	A9765	S:1
+Daptomycin	A9765	S:0.5
+Vancomycin	A5948	S:1
+Daptomycin	A5948	S:1
+Vancomycin	A9754	S:2
+Daptomycin	A9754	S:0.5
+Vancomycin	A9299	S:1-2
+Daptomycin	A9299	S:0.25
+Daptomycin	A9763	S:0.5
+Vancomycin	A9763	S:1
+Daptomycin	A10102	S:0.5
+Vancomycin	A10102	S:1
+Daptomycin	A8796	S:0.5
+Vancomycin	A8796	S:1
+Daptomycin	A8819	S:0.25
+Vancomycin	A8819	S:1
+Daptomycin	A9719	S:0.25
+Vancomycin	A9719	S:1-2
+Daptomycin	A9781	S:0.5
+Vancomycin	A9781	S:1
+Daptomycin	A8117	S:0.5
+Vancomycin	A8117	S:1
+Daptomycin	A8115	S:0.5
+Vancomycin	A8115	S:1
+
+ferrero_analysis_1995	Analysis of gyrA and grlA mutations in stepwise-selected ciprofloxacin-resistant mutants of Staphylococcus aureus.
+Ciprofloxacin	RN4220	S:0.5
+Norfloxacin	RN4220	S:1
+Ofloxacin	RN4220	S:2
+Sparfloxacin	RN4220	S:0.25
+Temafloxacin	RN4220	S:0.25
+Lomefloxacin	RN4220	S:1
+Fleroxacin	RN4220	S:1
+Novobiocin	RN4220	S:0.12
+Erythromycin	RN4220	S:0.25
+Spiramycin	RN4220	U:4
+Oxacillin	RN4220	S:0.25
+
+friedman_genetic_2006	Genetic Changes That Correlate with Reduced Susceptibility to Daptomycin in Staphylococcus aureus
+Daptomycin	MW2	S:0.75
+
+daurel_differences_2008	Differences in Potential for Selection of Clindamycin-Resistant Mutants Between Inducible erm(A) and erm(C) Staphylococcus Aureus Genes
+Clindamycin	RN4220	S
+Erythromycin	RN4220	S
+
+coleman_susceptibility_1985	Susceptibility to Antimicrobial Agents and Analysis of Plasmids in Gentamicin- and Methicillin-Resistant Staphylococcus Aureus from Dublin Hospitals
+Amikacin	RN4220	S:0.6
+Gentamicin	RN4220	S:0.3
+Kanamycin	RN4220	S:<1
+Neomycin	RN4220	S:<1
+Sisomicin	RN4220	S:0.2
+Tobramycin	RN4220	S:0.2
+Netilmicin	RN4220	S:0.2
+Tetracycline	RN4220	S
+
+yamada_quinolone_1997	Quinolone Susceptibility of norA-Disrupted Staphylococcus Aureus.
+Norfloxacin	RN4220	S:1.56
+Ciprofloxacin	RN4220	S:0.39
+Enoxacin	RN4220	S:1.56
+Pazufloxacin	RN4220	S:0.2
+Ofloxacin	RN4220	S:0.39
+Tosufloxacin	RN4220	S:0.05
+Sparfloxacin	RN4220	S:0.1
+
+pucci_direct_2002	Direct Quantitation of the Numbers of Individual Penicillin-Binding Proteins Per Cell in Staphylococcus Aureus
+Meticillin	RN4220	S
+
+#Meticillin	EMRSA15	R	x
+
+lee_phenotypic_1999	Phenotypic and genetic characterization of borderline oxacillin-resistant Staphylococcus aureus
+Meticillin	RN4220	S:2
+Cefazolin	RN4220	S:0.5
+Penicillin	RN4220	S:0.25
+Oxacillin	RN4220	S:0.25
+
+suzuki_antimicrobial_2011	Antimicrobial ointments and methicillin-resistant Staphylococcus aureus USA300
+Bacitracin	USA300_TCH1516	R
+Bacitracin	USA300_FPR3757	S
+Neomycin	USA300_TCH1516	R
+Neomycin	USA300_FPR3757	S
+
+pietiainen_transcriptome_2009	Transcriptome analysis of the responses of Staphylococcus aureus to antimicrobial peptides and characterization of the roles of vraDE and vraSR in antimicrobial resistance
+Bacitracin	Newman	S:20
+Vancomycin	Newman	S:1
+Nisin	Newman	U:6.25
+Daptomycin	Newman	S:2.5
+Teicoplanin	Newman	S:0.5
+
+schaaff_elevated_2002	An Elevated Mutation Frequency Favors Development of Vancomycin Resistance in Staphylococcus aureus
+Vancomycin	VC40	R:32
+Teicoplanin	VC40	S:8
+
+sakoulas_induction_2006	Induction of Daptomycin Heterogeneous Susceptibility in Staphylococcus aureus by Exposure to Vancomycin
+Vancomycin	A6224	S:2
+
+pillai_development_2009	Development of Reduced Vancomycin Susceptibility in Methicillin-Susceptible Staphylococcus Aureus
+Vancomycin	A9635	S:1
+Oxacillin	A9635	S:0.25
+Daptomycin	A9635	S:0.5
+
+sass_genome_2012	Genome Sequence of Staphylococcus aureus VC40, a Vancomycin- and Daptomycin-Resistant Strain, To Study the Genetics of Development of Resistance to Currently Applied Last-Resort Antibiotics
+Daptomycin	VC40	R
+Vancomycin	VC40	R
+
+harro_draft_2013	Draft Genome Sequence of the Methicillin-Resistant Staphylococcus aureus Isolate MRSA-M2
+Meticillin	M2	R
+
+kos_comparative_2012	Comparative Genomics of Vancomycin-Resistant Staphylococcus aureus Strains and Their Positions within the Clade Most Commonly Associated with Methicillin-Resistant S. aureus Hospital-Acquired Infection in the United States
+Vancomycin	aureus_VRS1	R
+Vancomycin	aureus_VRS2	R
+Vancomycin	aureus_VRS3a	R
+Vancomycin	aureus_VRS4	R
+Vancomycin	aureus_VRS5	R
+Vancomycin	aureus_VRS6	R
+Vancomycin	aureus_VRS7	R
+Vancomycin	aureus_VRS8	R
+Vancomycin	aureus_VRS9	R
+Vancomycin	aureus_VRS10	R
+Vancomycin	aureus_VRS11a	R
+Vancomycin	aureus_VRS11b	R
+
+neoh_draft_2013	Draft Genome Sequences of Four Nosocomial Methicillin-Resistant Staphylococcus aureus (MRSA) Strains (PPUKM-261-2009, PPUKM-332-2009, PPUKM-377-2009, and PPUKM-775-2009) Representative of Dominant MRSA Pulsotypes Circulating in a Malaysian University Teaching Hospital
+Meticillin	PPUKM-261-2009	R
+Meticillin	PPUKM-332-2009	R
+Meticillin	PPUKM-377-2009	R
+Meticillin	PPUKM-775-2009	R
+
+khedkar_draft_2012	Draft Genome Sequence of Staphylococcus aureus ST672, an Emerging Disease Clone from India
+Meticillin	aureus_118	R
+
+larner-svensson_complete_2013	Complete Genome Sequence of Staphylococcus aureus Strain M1, a Unique t024-ST8-IVa Danish Methicillin-Resistant S. aureus Clone
+Meticillin	M1	R
+
+mcdonald_draft_2013	Draft Genome Sequence of Methicillin-Susceptible Staphylococcus aureus Strain 06BA18369, a Pathogen Associated with Skin and Soft Tissue Infections in Northern Saskatchewan, Canada
+Meticillin	06BA18369	S
+
+carroll_draft_2013	Draft Genome Sequence of Strain CBD-635, a Methicillin-Resistant Staphylococcus aureus USA100 Isolate
+Meticillin	CBD-635	R
+Centhromycin	CBD-635	R
+Azithromycin	CBD-635	R
+Erythromycin	CBD-635	R
+Clindamycin	CBD-635	R
+Ampicillin	CBD-635	R
+Chloramphenicol	CBD-635	R
+Gentamicin	CBD-635	R
+Tetracycline	CBD-635	R
+Ciprofloxacin	CBD-635	R
+Daptomycin	CBD-635	I
+Linezolid	CBD-635	I
+Vancomycin	CBD-635	I
+
+costa_complete_2013	Complete Genome Sequence of a Variant of the Methicillin-Resistant Staphylococcus aureus ST239 Lineage, Strain BMB9393, Displaying Superior Ability To Accumulate ica-Independent Biofilm
+Meticillin	Bmb9393	R
+
+chen_complete_2013	Complete Genome Sequence of a Pant�n-Valentine Leukocidin-Negative Community-Associated Methicillin-Resistant Staphylococcus aureus Strain of Sequence type 72 from Korea
+Meticillin	CN1	R
+Clindamycin	CN1	R
+Erythromycin	CN1	R
+
+stegger_genome_2013	Genome Sequence of Staphylococcus aureus Strain {CA-347}, a {USA600} Methicillin-Resistant Isolate
+Meticillin	CA-347	R
+
+dabul_draft_2013	Draft Genome Sequence of Methicillin-Resistant Staphylococcus aureus Strain {SA16}, Representative of an Endemic Clone from a Brazilian Hospital
+Meticillin	SA16	R
+Oxacillin	SA16	R
+Penicillin	SA16	R
+Clindamycin	SA16	R
+Erythromycin	SA16	R
+Ciprofloxacin	SA16	R
+Daptomycin	SA16	S:1
+Teicoplanin	SA16	S:3
+Linezolid	SA16	S:0.75
+Tigecycline	SA16	S:0.19
+Quinupristin/dalfopristin	SA16	I:1.5
+
+fraunholz_complete_2013	Complete Genome Sequence of Staphylococcus aureus 6850, a Highly Cytotoxic and Clinically Virulent Methicillin-Sensitive Strain with Distant Relatedness to Prototype Strains
+Meticillin	6850	S
+
+chen_complete_2013	Complete Genome Sequence of Staphylococcus aureus Z172, a Vancomycin-Intermediate and Daptomycin-Nonsusceptible Methicillin-Resistant Strain Isolated in Taiwan
+Vancomycin	Z172	I
+Daptomycin	Z172	I
+Meticillin	Z172	R
+
+chen_characterization_2013	Characterization and Comparison of 2 Distinct Epidemic Community-Associated Methicillin-Resistant Staphylococcus aureus Clones of {ST59} Lineage
+Meticillin	SA40	R
+Meticillin	SA957	R
+
+
+renzoni_transcriptomic_2006	Transcriptomic and Functional Analysis of an Autolysis-Deficient, Teicoplanin-Resistant Derivative of Methicillin-Resistant Staphylococcus aureus
+Penicillin	MRGR3	R
+Meticillin	MRGR3	R
+Gentamicin	MRGR3	R
+Cholamphenicol	MRGR3	R
+Erythromycin	MRGR3	R
+Tetracycline	MRGR3	R
+Polymyxin B	MRGR3	R
+Rifampicin	MRGR3	S
+Cotrimoxazole	MRGR3	S
+Mupirocin	MRGR3	S
+Fosfomycin	MRGR3	S
+Ciprofloxacin	MRGR3	S
+Levofloxacin	MRGR3	S
+Moxifloxacin	MRGR3	S
+
+harastani_genetic_2013	Genetic diversity of Staphylococcus aureus in Lebanon. (c2012)
+Meticillin	HST-084	R
+Meticillin	HST-105	R
+Meticillin	HST-107	R
+Oxacillin	HST-084	R
+Oxacillin	HST-105	R
+Oxacillin	HST-107	R
+Tetracycline	HST-105	R
+Tetracycline	HST-107	R
diff --git a/other/res_data/sau/res_profiles_ret.txt b/other/res_data/sau/res_profiles_ret.txt
new file mode 100644
index 0000000..cbdf644
--- /dev/null
+++ b/other/res_data/sau/res_profiles_ret.txt
@@ -0,0 +1,8 @@
+Meticillin	04-02981;11819-97;A017934/97;Bmb9393;CA-347;CBD-635;CF-Marseille;CN1;COL;EMRSA-15;EMRSA16;HST-084;HST-105;HST-107;JH1;JH9;JKD6008;JKD6009;JKD6159;LGA251;M1;M2;MR1;MRGR3;MRSA131;MRSA177;MRSA252;MW2;Mu3;Mu50;Mu50-omega;N315;PPUKM-261-2009;PPUKM-332-2009;PPUKM-377-2009;PPUKM-775-2009;SA16;SA40;SA957;ST398;T0131;TCH60;TW20;USA300_FPR3757;USA300_TCH1516;WBG10049;WW2703/97;Z172;aureus_118	06BA18369;55/2053;6850;Btn1260;C101;E1410;ECT-R_2;M1015;M809;M876;M899;MN8;MSSA476;NCTC_8325;Ne [...]
+Vancomycin	VC40;aureus_VRS1;aureus_VRS10;aureus_VRS11a;aureus_VRS11b;aureus_VRS2;aureus_VRS3a;aureus_VRS4;aureus_VRS5;aureus_VRS6;aureus_VRS7;aureus_VRS8;aureus_VRS9	04-02981;A10102;A5948;A6224;A8115;A8117;A8796;A8819;A9299;A9635;A9719;A9754;A9763;A9765;A9781;COL;JH1;JKD6009;JKD6159;MN8;MRSA131;MRSA177;MRSA252;MSSA476;MW2;Mu3;Mu50-omega;N315;NCTC_8325;Newman;RN4220;ST398;TW20;USA300_FPR3757;USA300_TCH1516;USA300_TCH959	CBD-635;JH9;JKD6008;Mu50;Z172
+Tetracycline	58-424;65-1322;68-397;CBD-635;CF-Marseille;COL;HST-105;HST-107;JKD6008;JKD6009;MRGR3;MW2;Mu3;Mu50;Mu50-omega;ST398;TW20;USA300_FPR3757	04-02981;E1410;JH1;JH9;JKD6159;LGA251;MN8;MRSA252;MSSA476;N315;NCTC_8325;Newman;RN4220;USA300_TCH1516;USA300_TCH959	
+Erythromycin	04-02981;58-424;65-1322;68-397;CBD-635;CF-Marseille;CN1;ECT-R_2;JH1;JH9;MRGR3;MRSA252;Mu3;Mu50;Mu50-omega;N315;SA16;TW20;USA300_FPR3757;USA300_TCH1516	COL;JKD6159;LGA251;MN8;MSSA476;MW2;NCTC_8325;RN4220;ST398;USA300_TCH959	
+Oxacillin	04-02981;COL;HST-084;HST-105;HST-107;JKD6008;JKD6009;LGA251;MRSA252;MSHR1132;MW2;Mu3;Mu50;Mu50-omega;SA16;ST398;USA300_FPR3757;USA300_TCH1516	A9635;JH1;JH9;MN8;MSSA476;NCTC_8325;Newman;RN4220;USA300_TCH959	
+Ciprofloxacin	04-02981;CBD-635;JKD6008;JKD6009;MRSA252;Mu3;Mu50;Mu50-omega;SA16;ST398;TW20;USA300_FPR3757	COL;JKD6159;LGA251;MN8;MRGR3;MRSA131;MRSA177;MSSA476;MW2;N315;NCTC_8325;Newman;RN4220;USA300_TCH1516;USA300_TCH959	
+Gentamicin	CBD-635;JKD6008;JKD6009;MRGR3;Mu3;Mu50;Mu50-omega;TW20	04-02981;CF-Marseille;COL;LGA251;MN8;MRSA131;MRSA177;MRSA252;MSSA476;MW2;N315;NCTC_8325;RN4220;USA300_TCH1516;USA300_TCH959	USA300_FPR3757
+Clindamycin	04-02981;CBD-635;CN1;ECT-R_2;JH1;JH9;MRSA252;Mu3;Mu50;Mu50-omega;N315;SA16;USA300_FPR3757	COL;JKD6159;LGA251;MN8;MSSA476;MW2;NCTC_8325;RN4220;ST398;USA300_TCH1516;USA300_TCH959	
diff --git a/other/res_data/spn/Elementy eksportowane.bib b/other/res_data/spn/Elementy eksportowane.bib
new file mode 100644
index 0000000..434920f
--- /dev/null
+++ b/other/res_data/spn/Elementy eksportowane.bib	
@@ -0,0 +1,16 @@
+
+ at phdthesis{inverarity_genomic_2009,
+	type = {{PhD}},
+	title = {Genomic diversity in naturally transformable Streptococcus pneumoniae},
+	url = {http://eleanor.lib.gla.ac.uk/record=b2670842},
+	abstract = {Infections due to Streptococcus pneumoniae (the pneumococcus) remain a substantial source of morbidity and mortality in both developing and developed countries despite a century of research and the development of effective therapeutic interventions (such as antibiotic therapy and vaccination). The ability of the pneumococcus to evade multiple classes of antibiotic through several genetically determined resistance mechanisms and its evasion of capsular polysaccharide based va [...]
+The purpose of this thesis is to investigate this diversity from a genome sequence perspective and to relate these observations to pneumococcal molecular epidemiology in a region of high biodiversity, the pathogenesis of certain disease manifestations and assess for a possible bacterial genetic basis for the pneumococcal phenotypes of, “carriage” and, “invasion.” 
+In order to do this, microarray comparative genomic hybridization ({CGH)} has been utilized to compare {DNA} from a variety of pneumococcal isolates chosen from 10 diverse serotypes and Multilocus Sequence Types and from clinically relevant serotypes and sequence types (particularly serotypes 3, 4 and 14 and sequence types {ST9}, {ST246} and {ST180))} against a reference, sequenced pneumococcal genome from an extensively investigated serotype 4 isolate – {TIGR4.} 
+Microarray comparison of the transcriptional profiles of several isolates has also been undertaken to compare gene expression from isolates of serotype 1 ({ST227} and {ST306)} and serotype 3 ({ST180)} related to particular disease states and exposure of a multi-resistant pneumococcus to an antimicrobial (clarithromycin) commonly used to treat pneumococcal pneumonia.},
+	urldate = {2014-02-24},
+	school = {University of Glasgow},
+	author = {Inverarity, Donald James},
+	year = {2009},
+	keywords = {{QR} Microbiology, R Medicine (General)},
+	file = {Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\NXZ546MU\901.html:text/html}
+}
\ No newline at end of file
diff --git a/other/res_data/spn/data-res.aux b/other/res_data/spn/data-res.aux
new file mode 100644
index 0000000..f04f14c
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+\bibcite{dopazo_annotated_2001}{5}
+\bibcite{fani_whole_2011}{6}
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diff --git a/other/res_data/spn/data-res.bbl b/other/res_data/spn/data-res.bbl
new file mode 100644
index 0000000..fb86d75
--- /dev/null
+++ b/other/res_data/spn/data-res.bbl
@@ -0,0 +1,81 @@
+\begin{thebibliography}{10}
+
+\bibitem{brueggemann_mlst_2013}
+Angela Brueggemann, William Hanage, and Mark Linden.
+\newblock {MLST} website, 2013.
+
+\bibitem{chen_genetic_2008}
+Huaiqing Chen, Yueyun Ma, Jun Yang, Christopher~J. {O'Brien}, Scott~L. Lee,
+  Joseph~E. Mazurkiewicz, Sauli Haataja, Jing-Hua Yan, George~F. Gao, and
+  Jing-Ren Zhang.
+\newblock Genetic requirement for pneumococcal ear infection.
+\newblock {\em {PLoS} {ONE}}, 3(8):e2950, August 2008.
+
+\bibitem{croucher_role_2009}
+Nicholas~J Croucher, Danielle Walker, Patricia Romero, Nicola Lennard, Gavin~K
+  Paterson, Nathalie~C Bason, Andrea~M Mitchell, Michael~A Quail, Peter~W
+  Andrew, Julian Parkhill, Stephen~D Bentley, and Tim~J Mitchell.
+\newblock Role of conjugative elements in the evolution of the
+  multidrug-resistant pandemic clone streptococcus {pneumoniaeSpain23F} {ST81}.
+\newblock {\em Journal of bacteriology}, 191(5):1480--1489, March 2009.
+\newblock {PMID:} 19114491 {PMCID:} {PMC2648205}.
+
+\bibitem{ding_genome_2009}
+Feng Ding, Petrus Tang, Mei-Hua Hsu, Peng Cui, Songnian Hu, Jun Yu, and
+  Cheng-Hsun Chiu.
+\newblock Genome evolution driven by host adaptations results in a more
+  virulent and antimicrobial-resistant streptococcus pneumoniae serotype 14.
+\newblock {\em {BMC} Genomics}, 10(1):158, April 2009.
+\newblock {PMID:} 19361343.
+
+\bibitem{dopazo_annotated_2001}
+J~Dopazo, A~Mendoza, J~Herrero, F~Caldara, Y~Humbert, L~Friedli, M~Guerrier,
+  E~Grand-Schenk, C~Gandin, M~de~Francesco, A~Polissi, G~Buell, G~Feger,
+  E~García, M~Peitsch, and J~F García-Bustos.
+\newblock Annotated draft genomic sequence from a streptococcus pneumoniae type
+  {19F} clinical isolate.
+\newblock {\em Microbial drug resistance (Larchmont, {N.Y.)}}, 7(2):99--125,
+  2001.
+\newblock {PMID:} 11442348.
+
+\bibitem{fani_whole_2011}
+Fereshteh Fani, Philippe Leprohon, Danielle Legare, and Marc Ouellette.
+\newblock Whole genome sequencing of penicillin-resistant streptococcus
+  pneumoniae reveals mutations in penicillin-binding proteins and in a putative
+  iron permease.
+\newblock {\em Genome Biology}, 12(11):R115, 2011.
+\newblock {PMID:} 22108223 {PMCID:} {PMC3334601}.
+
+\bibitem{hu_vivo_2012}
+Fen~Z. Hu, Rory Eutsey, Azad Ahmed, Nelson Frazao, Evan Powell, N.~Luisa
+  Hiller, Todd Hillman, Farrel~J. Buchinsky, Robert Boissy, Benjamin Janto,
+  Jennifer Kress-Bennett, Mark Longwell, Suzanne Ezzo, J.~Christopher Post,
+  Mirjana Nesin, Alexander Tomasz, and Garth~D. Ehrlich.
+\newblock In vivo capsular switch in streptococcus pneumoniae – analysis by
+  whole genome sequencing.
+\newblock {\em {PLoS} {ONE}}, 7(11):e47983, November 2012.
+
+\bibitem{inverarity_genomic_2009}
+Donald~James Inverarity.
+\newblock {\em Genomic diversity in naturally transformable Streptococcus
+  pneumoniae}.
+\newblock {PhD}, University of Glasgow, 2009.
+
+\bibitem{pillai_genome-wide_2009}
+Dylan~R. Pillai, Dea Shahinas, Alla Buzina, Remy~A. Pollock, Rachel Lau,
+  Krishna Khairnar, Andrew Wong, David~J. Farrell, Karen Green, Allison
+  {McGeer}, and Donald~E. Low.
+\newblock Genome-wide dissection of globally emergent multi-drug resistant
+  serotype {19A} streptococcus pneumoniae.
+\newblock {\em {BMC} Genomics}, 10(1):642, December 2009.
+\newblock {PMID:} 20042094.
+
+\bibitem{sui_complete_2013}
+Zhihai Sui, Wenqing Zhou, Kaihu Yao, Li~Liu, Gang Zhang, Yonghong Yang, and Jie
+  Feng.
+\newblock Complete genome sequence of streptococcus pneumoniae strain a026, a
+  clinical multidrug-resistant isolate carrying tn2010.
+\newblock {\em Genome Announcements}, 1(6):e01034--13, December 2013.
+\newblock {PMID:} 24336372.
+
+\end{thebibliography}
diff --git a/other/res_data/spn/data-res.blg b/other/res_data/spn/data-res.blg
new file mode 100644
index 0000000..accffbe
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diff --git a/other/res_data/spn/data-res.log b/other/res_data/spn/data-res.log
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+\documentclass[10pt]{article}
+\usepackage{amsmath}
+\usepackage{amssymb}
+\usepackage{graphicx}
+\usepackage[table]{xcolor}
+\usepackage{cite}
+\usepackage{color} 
+\usepackage[margin=1in, paperwidth=25in, paperheight=15in]{geometry}
+\textwidth 22in 
+\textheight 13in
+\topmargin 0.0cm
+\oddsidemargin 0.5cm
+\evensidemargin 0.5cm
+\usepackage[labelfont=bf,labelsep=period,justification=raggedright]{caption}
+\makeatletter
+\renewcommand{\@biblabel}[1]{\quad#1.}
+\makeatother
+\date{}
+\pagestyle{myheadings}
+\begin{document}
+\begin{table}[!ht]
+\caption{\bf{Complete collected data on drug resistance.}}
+\begin{tabular}{|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|c|}\hline
+Strain & Penicillin & Erythromycin & Tetracycline & Cefotaxime & Ciprofloxacin & Chloramphenicol & Kanamycin & Clarithromycin & Clindamycin & Ceftriaxone & Trimethoprim & Levofloxacin & tetracycline & Sulfonamides  & Vancomycin  & Rifampicin & Trimethoprim-sulfa-methoxezole & Linezolid & Oxacillin & Ampicillin\\ \hline
+07AR0125 & $S:0.75$\cite{brueggemann_mlst_2013}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+1417 & $R:2$\cite{brueggemann_mlst_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+1488 & $S:0.125$\cite{brueggemann_mlst_2013}\cellcolor{green} & $R:>32$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:32$\cite{brueggemann_mlst_2013}\cellcolor{red} & $S:0.03$\cite{brueggemann_mlst_2013}\cellcolor{green} &  & $S:4$\cite{brueggemann_mlst_2013}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+1974M1-LZD & $R:2.0$\cite{fani_whole_2011}\cellcolor{red} & $S:0.125$\cite{fani_whole_2011}\cellcolor{green} & $S:0.125$\cite{fani_whole_2011}\cellcolor{green} & $S:0.75$\cite{fani_whole_2011}\cellcolor{green} & $S:0.5$\cite{fani_whole_2011}\cellcolor{green} &  & $R:25$\cite{fani_whole_2011}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  & $S:0.75$\cite{fani_whole_2011}\cellcolor{green} &  & \\ \hline
+3063-00 & $R:4$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:4$\cite{brueggemann_mlst_2013}\cellcolor{red} & $S:1$\cite{brueggemann_mlst_2013}\cellcolor{green} & $R:2$\cite{brueggemann_mlst_2013}\cellcolor{red} &  & $S:4$\cite{brueggemann_mlst_2013}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+4027-06 & $R:2$\cite{brueggemann_mlst_2013}\cellcolor{red} & $S:0.06$\cite{brueggemann_mlst_2013}\cellcolor{green} & $R:2$\cite{brueggemann_mlst_2013}\cellcolor{red} & $S:0.5$\cite{brueggemann_mlst_2013}\cellcolor{green} &  & $S:2$\cite{brueggemann_mlst_2013}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+4075-00 & $R:4$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:16$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:8$\cite{brueggemann_mlst_2013}\cellcolor{red} & $S:1$\cite{brueggemann_mlst_2013}\cellcolor{green} &  & $S:4$\cite{brueggemann_mlst_2013}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+5185-06 & $R:8$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:32$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:8$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:2$\cite{brueggemann_mlst_2013}\cellcolor{red} &  & $S:4$\cite{brueggemann_mlst_2013}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+5652-06 & $R:4$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:32$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:8$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:2$\cite{brueggemann_mlst_2013}\cellcolor{red} &  & $S:4$\cite{brueggemann_mlst_2013}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+5787-06 & $R:4$\cite{brueggemann_mlst_2013}\cellcolor{red} & $S:0.06$\cite{brueggemann_mlst_2013}\cellcolor{green} & $R:2$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:2$\cite{brueggemann_mlst_2013}\cellcolor{red} &  & $S:4$\cite{brueggemann_mlst_2013}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+670-6B & $R:2$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:>32$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:32$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:32$\cite{brueggemann_mlst_2013}\cellcolor{red} &  & $R:32$\cite{brueggemann_mlst_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+6735-05 & $R:2$\cite{brueggemann_mlst_2013}\cellcolor{red} & $S:0.03$\cite{brueggemann_mlst_2013}\cellcolor{green} & $R:2$\cite{brueggemann_mlst_2013}\cellcolor{red} & $S:1$\cite{brueggemann_mlst_2013}\cellcolor{green} &  & $S:2$\cite{brueggemann_mlst_2013}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+6901-05 & $S:0.12$\cite{brueggemann_mlst_2013}\cellcolor{green} & $S:0.03$\cite{brueggemann_mlst_2013}\cellcolor{green} & $R:2$\cite{brueggemann_mlst_2013}\cellcolor{red} & $S:0.06$\cite{brueggemann_mlst_2013}\cellcolor{green} &  & $S:2$\cite{brueggemann_mlst_2013}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+6963-05 & $R:2$\cite{brueggemann_mlst_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+7286-06 & $R:8$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:32$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:8$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:2$\cite{brueggemann_mlst_2013}\cellcolor{red} &  & $S:4$\cite{brueggemann_mlst_2013}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+7533-05 & $R:8$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:32$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:8$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:4$\cite{brueggemann_mlst_2013}\cellcolor{red} &  & $S:4$\cite{brueggemann_mlst_2013}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+7879-04 & $R:4$\cite{brueggemann_mlst_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+801 & $S$\cite{brueggemann_mlst_2013}\cellcolor{green} & $S$\cite{brueggemann_mlst_2013}\cellcolor{green} & $S$\cite{brueggemann_mlst_2013}\cellcolor{green} & $S$\cite{brueggemann_mlst_2013}\cellcolor{green} &  & $S$\cite{brueggemann_mlst_2013}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+8190-05 & $R:8$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:32$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:8$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:8$\cite{brueggemann_mlst_2013}\cellcolor{red} &  & $S:4$\cite{brueggemann_mlst_2013}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+A026 & $R$\cite{sui_complete_2013}\cellcolor{red} & $R$\cite{sui_complete_2013}\cellcolor{red} & $R$\cite{sui_complete_2013}\cellcolor{red} &  &  &  &  &  &  &  & $R$\cite{sui_complete_2013}\cellcolor{red} & $S$\cite{sui_complete_2013}\cellcolor{green} &  & $R$\cite{sui_complete_2013}\cellcolor{red} & $S$\cite{sui_complete_2013}\cellcolor{green} &  &  &  &  & \\ \hline
+AP200 & $S:0.004$\cite{brueggemann_mlst_2013}\cellcolor{green} & $R:3$\cite{brueggemann_mlst_2013}\cellcolor{red} & $S:0.25$\cite{brueggemann_mlst_2013}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+ATCC 700669 & $R$\cite{croucher_role_2009}\cellcolor{red} &  & $R$\cite{croucher_role_2009}\cellcolor{red} &  &  & $R$\cite{croucher_role_2009}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+CCRI 1974 & $S:0.016$\cite{fani_whole_2011}\cellcolor{green} & $S:0.125$\cite{fani_whole_2011}\cellcolor{green} & $S:0.75$\cite{fani_whole_2011}\cellcolor{green} & $S:0.75$\cite{fani_whole_2011}\cellcolor{green} & $S:0.5$\cite{fani_whole_2011}\cellcolor{green} &  & $R:25$\cite{fani_whole_2011}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  & $S:0.125$\cite{fani_whole_2011}\cellcolor{green} &  & \\ \hline
+CCRI 1974M2 & $R:2.0$\cite{fani_whole_2011}\cellcolor{red} & $S:0.125$\cite{fani_whole_2011}\cellcolor{green} & $S:0.125$\cite{fani_whole_2011}\cellcolor{green} & $S:0.75$\cite{fani_whole_2011}\cellcolor{green} & $S:0.5$\cite{fani_whole_2011}\cellcolor{green} &  & $R:25$\cite{fani_whole_2011}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  & $S:0.75$\cite{fani_whole_2011}\cellcolor{green} &  & \\ \hline
+CGSP14  & $R$\cite{ding_genome_2009}\cellcolor{red} & $R$\cite{ding_genome_2009}\cellcolor{red} &  &  &  &  &  &  &  & $R$\cite{ding_genome_2009}\cellcolor{red} &  &  &  &  &  &  &  &  &  & \\ \hline
+Canada MDR 19A &  & $R$\cite{pillai_genome-wide_2009}\cellcolor{red} & $R$\cite{pillai_genome-wide_2009}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+Canada MDR 19F &  & $R$\cite{pillai_genome-wide_2009}\cellcolor{red} & $R$\cite{pillai_genome-wide_2009}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+England14-9 & $S:0.03$\cite{brueggemann_mlst_2013}\cellcolor{green} & $R:32$\cite{brueggemann_mlst_2013}\cellcolor{red} & $S:<1$\cite{brueggemann_mlst_2013}\cellcolor{green} & $S:0.03$\cite{brueggemann_mlst_2013}\cellcolor{green} &  & $S:2$\cite{brueggemann_mlst_2013}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+G54 &  & $R$\cite{dopazo_annotated_2001}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  & $R$\cite{dopazo_annotated_2001}\cellcolor{red} &  &  &  &  &  &  & \\ \hline
+GA41410 & $S:1$\cite{brueggemann_mlst_2013}\cellcolor{green} & $R:8$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:2$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:2$\cite{brueggemann_mlst_2013}\cellcolor{red} &  & $S:2$\cite{brueggemann_mlst_2013}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+Hungary19A-6 & $R:2$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:>32$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:16$\cite{brueggemann_mlst_2013}\cellcolor{red} & $S:0.5$\cite{brueggemann_mlst_2013}\cellcolor{green} &  & $R:16$\cite{brueggemann_mlst_2013}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+INV104 & $S$\cite{inverarity_genomic_2009}\cellcolor{green} &  &  &  & $I$\cite{inverarity_genomic_2009}\cellcolor{yellow} &  &  & $S$\cite{inverarity_genomic_2009}\cellcolor{green} & $S$\cite{inverarity_genomic_2009}\cellcolor{green} &  &  &  &  &  &  &  &  &  & $S$\cite{inverarity_genomic_2009}\cellcolor{green} & $S$\cite{inverarity_genomic_2009}\cellcolor{green}\\ \hline
+INV200 & $S$\cite{inverarity_genomic_2009}\cellcolor{green} & $R$\cite{inverarity_genomic_2009}\cellcolor{red} &  &  &  &  &  & $R$\cite{inverarity_genomic_2009}\cellcolor{red} & $S$\cite{inverarity_genomic_2009}\cellcolor{green} &  &  &  &  &  &  &  &  &  & $S$\cite{inverarity_genomic_2009}\cellcolor{green} & $S$\cite{inverarity_genomic_2009}\cellcolor{green}\\ \hline
+JJA & $I$\cite{brueggemann_mlst_2013}\cellcolor{yellow} & $S$\cite{brueggemann_mlst_2013}\cellcolor{green} & $S$\cite{brueggemann_mlst_2013}\cellcolor{green} & $S$\cite{brueggemann_mlst_2013}\cellcolor{green} &  & $S$\cite{brueggemann_mlst_2013}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+Netherlands15B-37 & $S:0.012$\cite{brueggemann_mlst_2013}\cellcolor{green} & $S:0.125$\cite{brueggemann_mlst_2013}\cellcolor{green} & $S:0.25$\cite{brueggemann_mlst_2013}\cellcolor{green} & $S:0.012$\cite{brueggemann_mlst_2013}\cellcolor{green} &  & $S:0.19$\cite{brueggemann_mlst_2013}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+NorthCarolina6A-23 & $S:1$\cite{brueggemann_mlst_2013}\cellcolor{green} & $R:>2$\cite{brueggemann_mlst_2013}\cellcolor{red} & $S:0.25$\cite{brueggemann_mlst_2013}\cellcolor{green} & $S:1$\cite{brueggemann_mlst_2013}\cellcolor{green} &  & $S:4$\cite{brueggemann_mlst_2013}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+P1031 & $S$\cite{brueggemann_mlst_2013}\cellcolor{green} &  &  & $S$\cite{brueggemann_mlst_2013}\cellcolor{green} &  & $S$\cite{brueggemann_mlst_2013}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+R6 & $S:0.016$\cite{brueggemann_mlst_2013}\cellcolor{green}$S:0.023$\cite{fani_whole_2011}\cellcolor{green} & $S:0.125$\cite{fani_whole_2011}\cellcolor{green}$S$\cite{brueggemann_mlst_2013}\cellcolor{green} & $S:0.75$\cite{fani_whole_2011}\cellcolor{green} & $S:0.75$\cite{fani_whole_2011}\cellcolor{green} & $S:0.5$\cite{fani_whole_2011}\cellcolor{green} &  & $R:25$\cite{fani_whole_2011}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  & $S:0.125$\cite{fani_whole_2011}\cellcolor{green} &  & \ [...]
+R6M2-PG & $R:2.0$\cite{fani_whole_2011}\cellcolor{red} & $S:0.125$\cite{fani_whole_2011}\cellcolor{green} & $S:0.125$\cite{fani_whole_2011}\cellcolor{green} & $S:0.75$\cite{fani_whole_2011}\cellcolor{green} & $S:0.5$\cite{fani_whole_2011}\cellcolor{green} &  & $R:25$\cite{fani_whole_2011}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  & $S:0.75$\cite{fani_whole_2011}\cellcolor{green} &  & \\ \hline
+ST556 & $R$\cite{chen_genetic_2008}\cellcolor{red} &  & $R$\cite{chen_genetic_2008}\cellcolor{red} &  &  & $S$\cite{chen_genetic_2008}\cellcolor{green} & $S$\cite{chen_genetic_2008}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+SV35 & $R$\cite{hu_vivo_2012}\cellcolor{red} & $R$\cite{hu_vivo_2012}\cellcolor{red} & $R$\cite{hu_vivo_2012}\cellcolor{red} & $R$\cite{hu_vivo_2012}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  & $R$\cite{hu_vivo_2012}\cellcolor{red} & $R$\cite{hu_vivo_2012}\cellcolor{red} &  &  & \\ \hline
+SV36 & $R$\cite{hu_vivo_2012}\cellcolor{red} & $R$\cite{hu_vivo_2012}\cellcolor{red} & $R$\cite{hu_vivo_2012}\cellcolor{red} & $R$\cite{hu_vivo_2012}\cellcolor{red} &  &  &  &  &  &  &  &  &  &  &  & $R$\cite{hu_vivo_2012}\cellcolor{red} & $R$\cite{hu_vivo_2012}\cellcolor{red} &  &  & \\ \hline
+TIGR4 & $S$\cite{inverarity_genomic_2009}\cellcolor{green}$S$\cite{brueggemann_mlst_2013}\cellcolor{green} &  &  &  & $I$\cite{inverarity_genomic_2009}\cellcolor{yellow} &  &  & $S$\cite{inverarity_genomic_2009}\cellcolor{green} & $S$\cite{inverarity_genomic_2009}\cellcolor{green} &  &  &  &  &  &  &  &  &  & $S$\cite{inverarity_genomic_2009}\cellcolor{green} & $S$\cite{inverarity_genomic_2009}\cellcolor{green}\\ \hline
+TIGR4 WGS & $S$\cite{inverarity_genomic_2009}\cellcolor{green}$S$\cite{brueggemann_mlst_2013}\cellcolor{green} &  &  &  & $I$\cite{inverarity_genomic_2009}\cellcolor{yellow} &  &  & $S$\cite{inverarity_genomic_2009}\cellcolor{green} & $S$\cite{inverarity_genomic_2009}\cellcolor{green} &  &  &  &  &  &  &  &  &  & $S$\cite{inverarity_genomic_2009}\cellcolor{green} & $S$\cite{inverarity_genomic_2009}\cellcolor{green}\\ \hline
+Taiwan19F-14 & $R:2$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:4$\cite{brueggemann_mlst_2013}\cellcolor{red} & $R:16$\cite{brueggemann_mlst_2013}\cellcolor{red} & $S:1$\cite{brueggemann_mlst_2013}\cellcolor{green} &  & $S:2$\cite{brueggemann_mlst_2013}\cellcolor{green} &  &  &  &  &  &  &  &  &  &  &  &  &  & \\ \hline
+\end{tabular}
+\end{table}
+\small
+\bibliography{references}
+\bibliographystyle{plain}
+\end{document}
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new file mode 100644
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--- /dev/null
+++ b/other/res_data/spn/references.bib
@@ -0,0 +1,174 @@
+
+ at article{fani_whole_2011,
+	title = {Whole genome sequencing of penicillin-resistant Streptococcus pneumoniae reveals mutations in penicillin-binding proteins and in a putative iron permease},
+	volume = {12},
+	issn = {1465-6906},
+	url = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3334601/},
+	doi = {10.1186/gb-2011-12-11-r115},
+	number = {11},
+	urldate = {2014-02-24},
+	journal = {Genome Biology},
+	author = {Fani, Fereshteh and Leprohon, Philippe and Legare, Danielle and Ouellette, Marc},
+	year = {2011},
+	note = {{PMID:} 22108223
+{PMCID:} {PMC3334601}},
+	pages = {R115},
+	file = {PubMed Central Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\PBCPRH6A\Fani et al. - 2011 - Whole genome sequencing of penicillin-resistant St.pdf:application/pdf}
+},
+
+ at article{croucher_role_2009,
+	title = {Role of conjugative elements in the evolution of the multidrug-resistant pandemic clone Streptococcus {pneumoniaeSpain23F} {ST81}},
+	volume = {191},
+	issn = {1098-5530},
+	doi = {10.1128/JB.01343-08},
+	abstract = {Streptococcus pneumoniae is a human commensal and pathogen able to cause a variety of diseases that annually result in over a million deaths worldwide. The S. pneumoniae({Spain23F)} sequence type 81 lineage was among the first recognized pandemic clones and was responsible for almost 40\% of penicillin-resistant pneumococcal infections in the United States in the late 1990s. Analysis of the chromosome sequence of a representative strain, and comparison with other available g [...]
+	language = {eng},
+	number = {5},
+	journal = {Journal of bacteriology},
+	author = {Croucher, Nicholas J and Walker, Danielle and Romero, Patricia and Lennard, Nicola and Paterson, Gavin K and Bason, Nathalie C and Mitchell, Andrea M and Quail, Michael A and Andrew, Peter W and Parkhill, Julian and Bentley, Stephen D and Mitchell, Tim J},
+	month = mar,
+	year = {2009},
+	note = {{PMID:} 19114491 
+{PMCID:} {PMC2648205}},
+	keywords = {Anti-Bacterial Agents, Conjugation, Genetic, Disease Outbreaks, {DNA} Transposable Elements, Drug Resistance, Multiple, Bacterial, Elements, Evolution, Molecular, Genome, Bacterial, Genomic Islands, Humans, Microbial Sensitivity Tests, Molecular Sequence Data, Pneumococcal Infections, Prophages, Sequence Analysis, {DNA}, Serotyping, Spain, Streptococcus pneumoniae, Virus Integration},
+	pages = {1480--1489}
+},
+
+ at misc{brueggemann_mlst_2013,
+	title = {{MLST} website},
+	url = {http://spneumoniae.mlst.net/},
+	author = {Brueggemann, Angela and Hanage, William and Linden, Mark},
+	year = {2013}
+},
+
+ at article{hu_vivo_2012,
+	title = {In Vivo Capsular Switch in Streptococcus pneumoniae – Analysis by Whole Genome Sequencing},
+	volume = {7},
+	url = {http://dx.doi.org/10.1371/journal.pone.0047983},
+	doi = {10.1371/journal.pone.0047983},
+	abstract = {Two multidrug resistant strains of Streptococcus pneumoniae – {SV35-T23} (capsular type {23F)} and {SV36-T3} (capsular type 3) were recovered from the nasopharynx of two adult patients during an outbreak of pneumococcal disease in a New York hospital in 1996. Both strains belonged to the pandemic lineage {PMEN1} but they differed strikingly in virulence when tested in the mouse model of {IP} infection: as few as 1000 {CFU} of {SV36} killed all mice within 24 hours after inoc [...]
+	number = {11},
+	urldate = {2014-02-24},
+	journal = {{PLoS} {ONE}},
+	author = {Hu, Fen Z. and Eutsey, Rory and Ahmed, Azad and Frazao, Nelson and Powell, Evan and Hiller, N. Luisa and Hillman, Todd and Buchinsky, Farrel J. and Boissy, Robert and Janto, Benjamin and Kress-Bennett, Jennifer and Longwell, Mark and Ezzo, Suzanne and Post, J. Christopher and Nesin, Mirjana and Tomasz, Alexander and Ehrlich, Garth D.},
+	month = nov,
+	year = {2012},
+	pages = {e47983},
+	file = {PLoS Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\CG9T5S63\Hu et al. - 2012 - In Vivo Capsular Switch in Streptococcus pneumonia.pdf:application/pdf;PLoS Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\HKQZIFN2\infodoi10.1371journal.pone.html:text/html}
+},
+
+ at phdthesis{inverarity_genomic_2009,
+	type = {{PhD}},
+	title = {Genomic diversity in naturally transformable Streptococcus pneumoniae},
+	url = {http://eleanor.lib.gla.ac.uk/record=b2670842},
+	abstract = {Infections due to Streptococcus pneumoniae (the pneumococcus) remain a substantial source of morbidity and mortality in both developing and developed countries despite a century of research and the development of effective therapeutic interventions (such as antibiotic therapy and vaccination). The ability of the pneumococcus to evade multiple classes of antibiotic through several genetically determined resistance mechanisms and its evasion of capsular polysaccharide based va [...]
+The purpose of this thesis is to investigate this diversity from a genome sequence perspective and to relate these observations to pneumococcal molecular epidemiology in a region of high biodiversity, the pathogenesis of certain disease manifestations and assess for a possible bacterial genetic basis for the pneumococcal phenotypes of, “carriage” and, “invasion.” 
+In order to do this, microarray comparative genomic hybridization ({CGH)} has been utilized to compare {DNA} from a variety of pneumococcal isolates chosen from 10 diverse serotypes and Multilocus Sequence Types and from clinically relevant serotypes and sequence types (particularly serotypes 3, 4 and 14 and sequence types {ST9}, {ST246} and {ST180))} against a reference, sequenced pneumococcal genome from an extensively investigated serotype 4 isolate – {TIGR4.} 
+Microarray comparison of the transcriptional profiles of several isolates has also been undertaken to compare gene expression from isolates of serotype 1 ({ST227} and {ST306)} and serotype 3 ({ST180)} related to particular disease states and exposure of a multi-resistant pneumococcus to an antimicrobial (clarithromycin) commonly used to treat pneumococcal pneumonia.},
+	urldate = {2014-02-24},
+	school = {University of Glasgow},
+	author = {Inverarity, Donald James},
+	year = {2009},
+	keywords = {{QR} Microbiology, R Medicine (General)},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\PAQGZVPB\Inverarity - 2009 - Genomic diversity in naturally transformable Strep.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\NXZ546MU\901.html:text/html}
+},
+
+ at article{pillai_genome-wide_2009,
+	title = {Genome-wide dissection of globally emergent multi-drug resistant serotype {19A} Streptococcus pneumoniae},
+	volume = {10},
+	copyright = {2009 Pillai et al; licensee {BioMed} Central Ltd.},
+	issn = {1471-2164},
+	url = {http://www.biomedcentral.com/1471-2164/10/642/abstract},
+	doi = {10.1186/1471-2164-10-642},
+	abstract = {Emergence of multi-drug resistant ({MDR)} serotype {19A} Streptococcus pneumoniae ({SPN)} is well-documented but causal factors remain unclear. Canadian {SPN} isolates (1993-2008, n = 11,083) were serotyped and in vitro susceptibility tested. A subset of {MDR} {19A} were multi-locus sequence typed ({MLST)} and representative isolates' whole genomes sequenced.
+{PMID:} 20042094},
+	language = {en},
+	number = {1},
+	urldate = {2014-02-24},
+	journal = {{BMC} Genomics},
+	author = {Pillai, Dylan R. and Shahinas, Dea and Buzina, Alla and Pollock, Remy A. and Lau, Rachel and Khairnar, Krishna and Wong, Andrew and Farrell, David J. and Green, Karen and {McGeer}, Allison and Low, Donald E.},
+	month = dec,
+	year = {2009},
+	note = {{PMID:} 20042094},
+	pages = {642},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\AS2TKKCS\Pillai et al. - 2009 - Genome-wide dissection of globally emergent multi-.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\38K6IQ2M\642.html:text/html}
+},
+
+ at article{ding_genome_2009,
+	title = {Genome evolution driven by host adaptations results in a more virulent and antimicrobial-resistant Streptococcus pneumoniae serotype 14},
+	volume = {10},
+	copyright = {2009 Ding et al; licensee {BioMed} Central Ltd.},
+	issn = {1471-2164},
+	url = {http://www.biomedcentral.com/1471-2164/10/158/abstract},
+	doi = {10.1186/1471-2164-10-158},
+	abstract = {Streptococcus pneumoniae serotype 14 is one of the most common pneumococcal serotypes that cause invasive pneumococcal diseases worldwide. Serotype 14 often expresses resistance to a variety of antimicrobial agents, resulting in difficulties in treatment. To gain insight into the evolution of virulence and antimicrobial resistance traits in S. pneumoniae from the genome level, we sequenced the entire genome of a serotype 14 isolate ({CGSP14)}, and carried out comprehensive c [...]
+{PMID:} 19361343},
+	language = {en},
+	number = {1},
+	urldate = {2014-02-24},
+	journal = {{BMC} Genomics},
+	author = {Ding, Feng and Tang, Petrus and Hsu, Mei-Hua and Cui, Peng and Hu, Songnian and Yu, Jun and Chiu, Cheng-Hsun},
+	month = apr,
+	year = {2009},
+	note = {{PMID:} 19361343},
+	pages = {158},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\7KAI76QU\Ding et al. - 2009 - Genome evolution driven by host adaptations result.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\KIKGI7FT\158.html:text/html}
+},
+
+ at article{chen_genetic_2008,
+	title = {Genetic Requirement for Pneumococcal Ear Infection},
+	volume = {3},
+	url = {http://dx.doi.org/10.1371/journal.pone.0002950},
+	doi = {10.1371/journal.pone.0002950},
+	abstract = {Background
+Ear infection or otitis media ({OM)} accounts for most bacterial respiratory infections in children in both developed and developing nations. Streptococcus pneumoniae, nontypeable Haemophilus influenzae, and Moraxella catarrhalis are the major {OM} pathogens. However, little is known about the genetic basis of bacterial {OM} largely due to practical difficulties in conducting research in ear infection models and genetically manipulating clinical isolates. Here, we report the first genome [...]
+
+{Methodology/Principal} Findings
+{STM} strains were constructed with a multi-drug resistant {OM} isolate {ST556} (serotype {19F)} and screened in a chinchilla {OM} model. Out of 5,280 mutants tested, 248 mutants were substantially underrepresented in the mutant pools recovered from the middle ear fluids of the infected chinchillas, indicating the impaired ability to survive and replicate in the middle ears due to genetic disruptions in the chromosome of strain {ST556.} Further {DNA} sequencing analysis mapped the mutati [...]
+
+{Conclusions/Significance}
+These findings suggest that there are a subset of pneumococcal genes required for ear infection and that these may be distinct from those required for nasal colonization. Our data thus provide comprehensive gene targets for mechanistic understanding of pneumococcal ear infection. Finally, this study has also developed a model for future genome-scale search for virulence determinants in other pathogens associated with ear infections.},
+	number = {8},
+	urldate = {2014-02-24},
+	journal = {{PLoS} {ONE}},
+	author = {Chen, Huaiqing and Ma, Yueyun and Yang, Jun and {O'Brien}, Christopher J. and Lee, Scott L. and Mazurkiewicz, Joseph E. and Haataja, Sauli and Yan, Jing-Hua and Gao, George F. and Zhang, Jing-Ren},
+	month = aug,
+	year = {2008},
+	pages = {e2950},
+	file = {PLoS Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\GG59W7VI\Chen et al. - 2008 - Genetic Requirement for Pneumococcal Ear Infection.pdf:application/pdf;PLoS Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\N6XZZ9RF\infodoi10.1371journal.pone.html:text/html}
+},
+
+ at article{sui_complete_2013,
+	title = {Complete Genome Sequence of Streptococcus pneumoniae Strain A026, a Clinical Multidrug-Resistant Isolate Carrying Tn2010},
+	volume = {1},
+	issn = {, 2169-8287},
+	url = {http://genomea.asm.org/content/1/6/e01034-13},
+	doi = {10.1128/genomeA.01034-13},
+	abstract = {Streptococcus pneumoniae is a primary cause of bacterial infection in humans. Here, we present the complete genome sequence of S. pneumoniae strain A026, which is a multidrug-resistant strain isolated from cerebrospinal fluid.},
+	language = {en},
+	number = {6},
+	urldate = {2014-02-24},
+	journal = {Genome Announcements},
+	author = {Sui, Zhihai and Zhou, Wenqing and Yao, Kaihu and Liu, Li and Zhang, Gang and Yang, Yonghong and Feng, Jie},
+	month = dec,
+	year = {2013},
+	note = {{PMID:} 24336372},
+	pages = {e01034--13},
+	file = {Full Text PDF:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\NVKPFVPQ\Sui et al. - 2013 - Complete Genome Sequence of Streptococcus pneumoni.pdf:application/pdf;Snapshot:C:\Users\Kasia\AppData\Roaming\Zotero\Zotero\Profiles\8pgxtip5.default\zotero\storage\E3NJHIUK\e01034-13.html:text/html}
+},
+
+ at article{dopazo_annotated_2001,
+	title = {Annotated draft genomic sequence from a Streptococcus pneumoniae type {19F} clinical isolate},
+	volume = {7},
+	issn = {1076-6294},
+	doi = {10.1089/10766290152044995},
+	abstract = {The public availability of numerous microbial genomes is enabling the analysis of bacterial biology in great detail and with an unprecedented, organism-wide and taxon-wide, broad scope. Streptococcus pneumoniae is one of the most important bacterial pathogens throughout the world. We present here sequences and functional annotations for 2.1-Mbp of pneumococcal {DNA}, covering more than 90\% of the total estimated size of the genome. The sequenced strain is a clinical isolate [...]
+	language = {eng},
+	number = {2},
+	journal = {Microbial drug resistance (Larchmont, {N.Y.)}},
+	author = {Dopazo, J and Mendoza, A and Herrero, J and Caldara, F and Humbert, Y and Friedli, L and Guerrier, M and Grand-Schenk, E and Gandin, C and de Francesco, M and Polissi, A and Buell, G and Feger, G and García, E and Peitsch, M and García-Bustos, J F},
+	year = {2001},
+	note = {{PMID:} 11442348},
+	keywords = {{DNA}, Bacterial, Genes, Bacterial, Genome, Bacterial, Molecular Sequence Data, Pneumococcal Infections, Prokaryotic Cells, {RNA}, Transfer, Streptococcus pneumoniae},
+	pages = {99--125}
+}
\ No newline at end of file
diff --git a/other/res_data/spn/res-data.txt b/other/res_data/spn/res-data.txt
new file mode 100644
index 0000000..b1f0d0f
--- /dev/null
+++ b/other/res_data/spn/res-data.txt
@@ -0,0 +1,250 @@
+fani_whole_2011	Whole genome sequencing of penicillin-resistant Streptococcus pneumoniae reveals mutations in penicillin-binding proteins and in a putative iron permease
+Penicillin	R6	S:0.023
+Cefotaxime	R6	S:0.75
+Erythromycin	R6	S:0.125
+Ciprofloxacin	R6	S:0.5
+Kanamycin	R6	R:25
+Tetracycline	R6	S:0.75
+Linezolid	R6	S:0.125
+Penicillin	R6M2-PG	R:2.0
+Cefotaxime	R6M2-PG	S:0.75
+Erythromycin	R6M2-PG	S:0.125
+Ciprofloxacin	R6M2-PG	S:0.5
+Kanamycin	R6M2-PG	R:25
+Tetracycline	R6M2-PG	S:0.125
+Linezolid	R6M2-PG	S:0.75
+Penicillin	CCRI_1974	S:0.016
+Cefotaxime	CCRI_1974	S:0.75
+Erythromycin	CCRI_1974	S:0.125
+Ciprofloxacin	CCRI_1974	S:0.5
+Kanamycin	CCRI_1974	R:25
+Tetracycline	CCRI_1974	S:0.75
+Linezolid	CCRI_1974	S:0.125
+Penicillin	1974M1-LZD	R:2.0
+Cefotaxime	1974M1-LZD	S:0.75
+Erythromycin	1974M1-LZD	S:0.125
+Ciprofloxacin	1974M1-LZD	S:0.5
+Kanamycin	1974M1-LZD	R:25
+Tetracycline	1974M1-LZD	S:0.125
+Linezolid	1974M1-LZD	S:0.75
+Penicillin	CCRI_1974M2	R:2.0
+Cefotaxime	CCRI_1974M2	S:0.75
+Erythromycin	CCRI_1974M2	S:0.125
+Ciprofloxacin	CCRI_1974M2	S:0.5
+Kanamycin	CCRI_1974M2	R:25
+Tetracycline	CCRI_1974M2	S:0.125
+Linezolid	CCRI_1974M2	S:0.75
+
+brueggemann_mlst_2013	MLST website
+Penicillin	07AR0125	S:0.75
+Penicillin	1417	R:2
+Penicillin	1488	S:0.125
+Erythromycin	1488	R:>32
+Tetracycline	1488	R:32
+Chloramphenicol	1488	S:4
+Cefotaxime	1488	S:0.03
+
+Penicillin	3063-00	R:4
+Erythromycin	3063-00	R:4
+Tetracycline	3063-00	S:1
+Chloramphenicol	3063-00	S:4
+Cefotaxime	3063-00	R:2
+Penicillin	4027-06	R:2
+Erythromycin	4027-06	S:0.06
+Tetracycline	4027-06	R:2
+Chloramphenicol	4027-06	S:2
+Cefotaxime	4027-06	S:0.5
+Penicillin	4075-00	R:4
+Erythromycin	4075-00	R:16
+Tetracycline	4075-00	R:8
+Chloramphenicol	4075-00	S:4
+Cefotaxime	4075-00	S:1
+Penicillin	5185-06	R:8
+Erythromycin	5185-06	R:32
+Tetracycline	5185-06	R:8
+Chloramphenicol	5185-06	S:4
+Cefotaxime	5185-06	R:2
+Penicillin	5652-06	R:4
+Erythromycin	5652-06	R:32
+Tetracycline	5652-06	R:8
+Chloramphenicol	5652-06	S:4
+Cefotaxime	5652-06	R:2
+Penicillin	5787-06	R:4
+Erythromycin	5787-06	S:0.06
+Tetracycline	5787-06	R:2
+Chloramphenicol	5787-06	S:4
+Cefotaxime	5787-06	R:2
+Penicillin	670-6B	R:2
+Erythromycin	670-6B	R:>32
+Tetracycline	670-6B	R:32
+Chloramphenicol	670-6B	R:32
+Cefotaxime	670-6B	R:32
+Penicillin	6735-05	R:2
+Erythromycin	6735-05	S:0.03
+Tetracycline	6735-05	R:2
+Chloramphenicol	6735-05	S:2
+Cefotaxime	6735-05	S:1
+Penicillin	6901-05	S:0.12
+Erythromycin	6901-05	S:0.03
+Tetracycline	6901-05	R:2
+Chloramphenicol	6901-05	S:2
+Cefotaxime	6901-05	S:0.06
+Penicillin	6963-05	R:2
+Penicillin	7286-06	R:8
+Erythromycin	7286-06	R:32
+Tetracycline	7286-06	R:8
+Chloramphenicol	7286-06	S:4
+Cefotaxime	7286-06	R:2
+Penicillin	7533-05	R:8
+Erythromycin	7533-05	R:32
+Tetracycline	7533-05	R:8
+Chloramphenicol	7533-05	S:4
+Cefotaxime	7533-05	R:4
+Penicillin	7879-04	R:4
+Penicillin	801	S
+Erythromycin	801	S
+Tetracycline	801	S
+Chloramphenicol	801	S
+Cefotaxime	801	S
+Penicillin	8190-05	R:8
+Erythromycin	8190-05	R:32
+Tetracycline	8190-05	R:8
+Chloramphenicol	8190-05	S:4
+Cefotaxime	8190-05	R:8
+Penicillin	AP200	S:0.004
+Erythromycin	AP200	R:3
+Tetracycline	AP200	S:0.25
+Penicillin	GA41410	S:1
+Erythromycin	GA41410	R:8
+Tetracycline	GA41410	R:2
+Chloramphenicol	GA41410	S:2
+Cefotaxime	GA41410	R:2
+Penicillin	JJA	I
+Erythromycin	JJA	S
+Tetracycline	JJA	S
+Chloramphenicol	JJA	S
+Cefotaxime	JJA	S
+Penicillin	P1031	S
+Chloramphenicol	P1031	S
+Cefotaxime	P1031	S
+Penicillin	R6	S:0.016
+Erythromycin	R6	S
+Penicillin	Netherlands15B-37	S:0.012
+Erythromycin	Netherlands15B-37	S:0.125
+Tetracycline	Netherlands15B-37	S:0.25
+Chloramphenicol	Netherlands15B-37	S:0.19
+Cefotaxime	Netherlands15B-37	S:0.012
+Penicillin	NorthCarolina6A-23	S:1
+Erythromycin	NorthCarolina6A-23	R:>2
+Tetracycline	NorthCarolina6A-23	S:0.25
+Chloramphenicol	NorthCarolina6A-23	S:4
+Cefotaxime	NorthCarolina6A-23	S:1
+Penicillin	TIGR4	S
+Penicillin	TIGR4_WGS	S
+
+Penicillin	Hungary19A-6	R:2
+Erythromycin	Hungary19A-6	R:>32
+Tetracycline	Hungary19A-6	R:16
+Chloramphenicol	Hungary19A-6	R:16
+Cefotaxime	Hungary19A-6	S:0.5
+
+Penicillin	Taiwan19F-14	R:2
+Erythromycin	Taiwan19F-14	R:4
+Tetracycline	Taiwan19F-14	R:16
+Chloramphenicol	Taiwan19F-14	S:2
+Cefotaxime	Taiwan19F-14	S:1
+
+Penicillin	England14-9	S:0.03
+Erythromycin	England14-9	R:32
+Tetracycline	England14-9	S:<1
+Chloramphenicol	England14-9	S:2
+Cefotaxime	England14-9	S:0.03
+
+chen_genetic_2008	Genetic Requirement for Pneumococcal Ear Infection
+Penicillin	ST556	R
+Tetracycline	ST556	R
+Kanamycin	ST556	S
+Chloramphenicol	ST556	S
+
+hu_vivo_2012	In Vivo Capsular Switch in Streptococcus pneumoniae – Analysis by Whole Genome Sequencing
+Penicillin	SV35	R
+Erythromycin	SV35	R
+Tetracycline	SV35	R
+Trimethoprim-sulfa-methoxezole	SV35	R
+Rifampicin	SV35	R
+Cefotaxime	SV35	R
+Penicillin	SV36	R
+Erythromycin	SV36	R
+Tetracycline	SV36	R
+Trimethoprim-sulfa-methoxezole	SV36	R
+Rifampicin	SV36	R
+Cefotaxime	SV36	R
+
+dopazo_annotated_2001	Annotated draft genomic sequence from a Streptococcus pneumoniae type {19F} clinical isolate
+Erythromycin	G54	R
+tetracycline	G54	R
+
+pillai_genome-wide_2009	Genome-wide dissection of globally emergent multi-drug resistant serotype {19A} Streptococcus pneumoniae
+Tetracycline	Canada_MDR_19A	R
+Tetracycline	Canada_MDR_19F	R
+Erythromycin	Canada_MDR_19A	R
+Erythromycin	Canada_MDR_19F	R
+Erythromycin	Canada_MDR_19A	R
+Erythromycin	Canada_MDR_19F	R
+
+croucher_role_2009	Role of conjugative elements in the evolution of the multidrug-resistant pandemic clone Streptococcus {pneumoniaeSpain23F} {ST81}
+Chloramphenicol	ATCC_700669	R
+Tetracycline	ATCC_700669	R
+Penicillin	ATCC_700669	R
+
+sui_complete_2013	Complete Genome Sequence of Streptococcus pneumoniae Strain A026, a Clinical Multidrug-Resistant Isolate Carrying Tn2010
+Penicillin	A026	R
+Tetracycline	A026	R
+Erythromycin	A026	R
+Trimethoprim	A026	R
+Sulfonamides 	A026	R
+Levofloxacin	A026	S
+Vancomycin 	A026	S
+
+ding_genome_2009	Genome evolution driven by host adaptations results in a more virulent and antimicrobial-resistant Streptococcus pneumoniae serotype 14
+Penicillin	CGSP14 	R
+Ceftriaxone	CGSP14 	R
+Erythromycin	CGSP14 	R
+
+inverarity_genomic_2009	Genomic diversity in naturally transformable Streptococcus pneumoniae
+Oxacillin	TIGR4	S
+Penicillin	TIGR4	S
+Ampicillin	TIGR4	S
+Ciprofloxacin	TIGR4	I
+Clarithromycin	TIGR4	S
+Clindamycin	TIGR4	S
+Oxacillin	TIGR4_WGS	S
+Penicillin	TIGR4_WGS	S
+Ampicillin	TIGR4_WGS	S
+Ciprofloxacin	TIGR4_WGS	I
+Clarithromycin	TIGR4_WGS	S
+Clindamycin	TIGR4_WGS	S
+Oxacillin	INV104	S
+Penicillin	INV104	S
+Ampicillin	INV104	S
+Ciprofloxacin	INV104	I
+Clarithromycin	INV104	S
+Clindamycin	INV104	S
+
+Oxacillin	INV200	S
+Erythromycin	INV200	R
+Penicillin	INV200	S
+Ampicillin	INV200	S
+Clarithromycin	INV200	R
+Clindamycin	INV200	S
+
+
+
+
+#Penicillin	2
+#Erythromycin	0.5
+#Tetracycline	2
+#Chloramphenicol	8
+#Cefotaxime	2
+
+
diff --git a/other/res_data/spn/res.txt b/other/res_data/spn/res.txt
new file mode 100644
index 0000000..8c8b146
--- /dev/null
+++ b/other/res_data/spn/res.txt
@@ -0,0 +1,5 @@
+Chloramphenicol	;ATCC_700669;	;;;;;;;;;;;;;;;		
+Tetracycline	;;;;;;;ATCC_700669;;;;;;	;;;;;;;;		
+Erythromycin	;;;;;;;;;;;;;;;	;;;;;		
+Penicillin2	;;;;;;;;;;;;;ATCC_700669;;;;;	;;;;;;		
+Penicillin1	;;;;;;;;;ATCC_700669;;;;;	;;;;;	;;;;	
diff --git a/other/res_data/spn/res_profiles_ret.txt b/other/res_data/spn/res_profiles_ret.txt
new file mode 100644
index 0000000..c70854e
--- /dev/null
+++ b/other/res_data/spn/res_profiles_ret.txt
@@ -0,0 +1,4 @@
+Penicillin	1417;1974M1-LZD;3063-00;4027-06;4075-00;5185-06;5652-06;5787-06;670-6B;6735-05;6963-05;7286-06;7533-05;7879-04;8190-05;A026;ATCC_700669;CCRI_1974M2;CGSP14 ;Hungary19A-6;R6M2-PG;ST556;SV35;SV36;Taiwan19F-14	07AR0125;1488;6901-05;801;AP200;CCRI_1974;England14-9;GA41410;INV104;INV200;Netherlands15B-37;NorthCarolina6A-23;P1031;R6;TIGR4;TIGR4_WGS	JJA
+Erythromycin	1488;3063-00;4075-00;5185-06;5652-06;670-6B;7286-06;7533-05;8190-05;A026;AP200;CGSP14 ;Canada_MDR_19A;Canada_MDR_19F;England14-9;G54;GA41410;Hungary19A-6;INV200;NorthCarolina6A-23;SV35;SV36;Taiwan19F-14	1974M1-LZD;4027-06;5787-06;6735-05;6901-05;801;CCRI_1974;CCRI_1974M2;JJA;Netherlands15B-37;R6;R6M2-PG	
+Tetracycline	1488;4027-06;4075-00;5185-06;5652-06;5787-06;670-6B;6735-05;6901-05;7286-06;7533-05;8190-05;A026;ATCC_700669;Canada_MDR_19A;Canada_MDR_19F;GA41410;Hungary19A-6;ST556;SV35;SV36;Taiwan19F-14	1974M1-LZD;3063-00;801;AP200;CCRI_1974;CCRI_1974M2;England14-9;JJA;Netherlands15B-37;NorthCarolina6A-23;R6;R6M2-PG	
+Cefotaxime	3063-00;5185-06;5652-06;5787-06;670-6B;7286-06;7533-05;8190-05;GA41410;SV35;SV36	1488;1974M1-LZD;4027-06;4075-00;6735-05;6901-05;801;CCRI_1974;CCRI_1974M2;England14-9;Hungary19A-6;JJA;Netherlands15B-37;NorthCarolina6A-23;P1031;R6;R6M2-PG;Taiwan19F-14	
diff --git a/other/res_data/spn/strains.txt b/other/res_data/spn/strains.txt
new file mode 100644
index 0000000..d7bd3f7
--- /dev/null
+++ b/other/res_data/spn/strains.txt
@@ -0,0 +1,292 @@
+GA04216
+GA11184
+PCS81218
+GA17301
+GA02254
+SPN7465
+Taiwan19F-14
+G54
+SPAR95
+GA41538
+SPN034156
+GA05578
+PNI0010
+3051
+459-5
+#PCS8235
+ND6012
+GA02270
+SPAR27
+GA19923
+GA47461
+SPN032672
+B605
+GA60080
+GA47901
+GA44288
+7533-05
+GA08780
+BHN191
+GA04375
+CCRI_1974
+3063-00
+439-1
+PNI0446
+GA47688
+GA49447
+PT8114
+GA13430
+GA43257
+GA17971
+2070335
+GA44128
+SP9v-BS293
+CDC3059-06
+GA17328
+GA62681
+BR1064
+GA44511
+GA40183
+GA44452
+GA19998
+MNZ41
+2070531
+ICE59
+NP141
+WL400
+2071004
+670-6B
+PNI0007
+ATCC_700669
+GA44194
+MNZ11b
+MNZ85
+GA49542
+GA54644
+GA17719
+SP9-BS68
+INV104B
+MNZ37
+13856
+1779n23_04
+PNI0427
+GA18068
+GA13455
+6901-05
+7286-06
+2070035
+GA19690
+SPAR55
+gamPNI0373
+4075-00
+GA11426
+88-1
+SPN1041
+6735-05
+MLV-016
+2070005
+GA47794
+GA41277
+GA58771
+1542
+SP3-BS71
+PNI0197
+PCS8203
+GA14373
+A026
+5652-06
+PNI0212
+GA40410
+GA05245
+Hungary19A-6
+SP6-BS73
+MNZ14
+GA05248
+GA17484
+GA47388
+BHN427
+5787-06
+357
+GA47179
+PNI0076
+GA58581
+PCS125219
+GA07228
+GA41301
+GA56113
+P1031
+PNI0008
+GA47373
+R6M2-PG
+WL677
+Netherlands15B-37
+SP23-BS72
+GA41410
+GA11856
+Spain9V
+CDC0288-04
+GA47778
+GA60132
+PCS8106
+SP14-BS292
+OXC141
+SPN994038
+SPN994039
+GA40028
+GA14688
+CDC1873-00
+SV36
+SV35
+GA13494
+GA13499
+PNI0199
+SPNA45
+GA44386
+801
+GA17227
+2070768
+06-01-003MEF
+GA47976
+GA07643
+GA47502
+GA13224
+GA02714
+GA16121
+GA17545
+GA44500
+2082239
+GA47210
+GA16242
+BS397
+5185-06
+2009
+CGSP14
+GA41437
+PNI0153
+England14-9
+D39
+GA43380
+GA47439
+GA47283
+GA47281
+PNI0002
+NP127
+PNI0006
+CDC1087-00
+PNI0009
+2080913
+GA52306
+TIGR4_WGS
+8190-05
+GA49194
+SP195
+GA47751
+GA13338
+TIGR4
+GA04175
+2081685
+GA13637
+6963-05
+PNI0159
+GA47522
+GA47033
+GA14798
+GA47597
+GA13723
+SP14-BS69
+TCH843119A
+70585
+GA17457
+GA04672
+2061617
+GA19077
+SP11-BS70
+GA47628
+2071247
+SP18-BS74
+JJA
+SPAR48
+7879-04
+2072047
+Spain6B
+GA54354
+GA07914
+NorthCarolina6A-23
+GA11304
+GA41565
+GA41688
+NP170
+ICE44
+GA40563
+INV200
+SP19-BS75
+GA02506
+GA19451
+GA11663
+2070425
+2090008
+GA17570
+R6
+INV104
+GA19101
+BHN237
+1417
+NP070
+BHN418
+1974M1-LZD
+GA52612
+BS457
+BS455
+GA43265
+GA43264
+BS458
+845
+GA44378
+2061376
+EU-NP05
+EU-NP04
+GA17371
+EU-NP01
+EU-NP03
+EU-NP02
+GA47360
+SPN033038
+GA47368
+AP200
+GA58981
+GA60190
+SPN034183
+SPN021198
+GA62331
+2081074
+GA47760
+PNI0360
+2080076
+GA56348
+2082170
+GA16833
+NP112
+2070108
+PNI0164
+GA06083
+2070109
+Canada_MDR_19A
+GA16531
+PCS70012
+Canada_MDR_19F
+SPN061370
+GA13856
+GA47562
+GA18523
+Sp647
+1719
+GA49138
+07AR0125
+27
+SPN072838
+ST556
+1488
+4027-06
+GA08825
+GA41317
+CCRI_1974M2
diff --git a/other/tbdr/db_cmp.txt b/other/tbdr/db_cmp.txt
new file mode 100644
index 0000000..9e2e6a3
--- /dev/null
+++ b/other/tbdr/db_cmp.txt
@@ -0,0 +1,1243 @@
+Amikacin	Rv1694	3	R	*	Y	N
+Amikacin	Rv1694	7	X	*	Y	N
+Amikacin	Rv1694	8	X	*	Y	N
+Amikacin	Rv1694	14	R	W	Y	N
+Amikacin	Rv1694	18	R	*	Y	N
+Amikacin	Rv1694	22	Q	*	Y	N
+Amikacin	Rv1694	23	X	A	Y	N
+Amikacin	Rv1694	67	A	E	Y	N
+Amikacin	Rv1694	69	K	E	Y	N
+Amikacin	Rv1694	72	X	*	Y	N
+Amikacin	Rv1694	91	A	E	Y	N
+Amikacin	Rv1694	103	X	*	Y	N
+Amikacin	Rv1694	118	L	P	Y	N
+Amikacin	Rv1694	128	V	E	Y	N
+Amikacin	Rv1694	132	X	*	Y	N
+Amikacin	Rv1694	133	X	*	Y	N
+Amikacin	Rv1694	150	L	P	Y	N
+Amikacin	Rv1694	159	X	*	Y	N
+Amikacin	Rv1694	183	P	L	Y	N
+Amikacin	Rv1694	184	Q	*	Y	N
+Amikacin	Rv1694	185	F	L	Y	N
+Amikacin	Rv1694	195	X	*	Y	N
+Amikacin	Rv1694	217	X	*	Y	N
+Amikacin	Rv1694	218	X	*	Y	N
+Amikacin	Rv1694	224	X	*	Y	N
+Amikacin	Rv1694	236	N	K	Y	N
+Amikacin	Rv1694	238	E	K	Y	N
+Amikacin	Rv1694	252	X	*	Y	N
+Amikacin	Rvnr01	1401	A	G	Y	N
+Amikacin	Rvnr01	1402	C	A	Y	N
+Amikacin	Rvnr01	1402	C	T	Y	N
+Amikacin	Rvnr01	1484	G	T	Y	N
+Capreomycin	Rv1694	3	R	*	Y	N
+Capreomycin	Rv1694	7	X	*	Y	N
+Capreomycin	Rv1694	8	X	*	Y	N
+Capreomycin	Rv1694	14	R	W	Y	N
+Capreomycin	Rv1694	18	R	*	Y	N
+Capreomycin	Rv1694	22	Q	*	Y	N
+Capreomycin	Rv1694	23	X	A	Y	N
+Capreomycin	Rv1694	67	A	E	Y	N
+Capreomycin	Rv1694	69	K	E	Y	N
+Capreomycin	Rv1694	72	X	*	Y	N
+Capreomycin	Rv1694	91	A	E	Y	N
+Capreomycin	Rv1694	103	X	*	Y	N
+Capreomycin	Rv1694	118	L	P	Y	N
+Capreomycin	Rv1694	128	V	E	Y	N
+Capreomycin	Rv1694	132	X	*	Y	N
+Capreomycin	Rv1694	133	X	*	Y	N
+Capreomycin	Rv1694	150	L	P	Y	N
+Capreomycin	Rv1694	159	X	*	Y	N
+Capreomycin	Rv1694	183	P	L	Y	N
+Capreomycin	Rv1694	184	Q	*	Y	N
+Capreomycin	Rv1694	185	F	L	Y	N
+Capreomycin	Rv1694	195	X	*	Y	N
+Capreomycin	Rv1694	217	X	*	Y	N
+Capreomycin	Rv1694	218	X	*	Y	N
+Capreomycin	Rv1694	224	X	*	Y	N
+Capreomycin	Rv1694	236	N	K	Y	N
+Capreomycin	Rv1694	238	E	K	Y	N
+Capreomycin	Rv1694	252	X	*	Y	N
+Capreomycin	Rvnr01	1401	A	G	Y	N
+Capreomycin	Rvnr01	1402	C	A	Y	N
+Capreomycin	Rvnr01	1402	C	T	Y	N
+Capreomycin	Rvnr01	1484	G	T	Y	N
+Ciprofloxacin	Rv0005	457	R	C	Y	N
+Ciprofloxacin	Rv0005	458	S	F	Y	N
+Ciprofloxacin	Rv0005	472	D	A	Y	N
+Ciprofloxacin	Rv0005	472	D	H	Y	N
+Ciprofloxacin	Rv0005	472	D	N	Y	N
+Ciprofloxacin	Rv0005	481	G	A	Y	N
+Ciprofloxacin	Rv0005	505	D	A	Y	N
+Ciprofloxacin	Rv0005	510	N	D	Y	N
+Ciprofloxacin	Rv0005	510	N	T	Y	N
+Ciprofloxacin	Rv0005	510	Q	K	Y	N
+Ciprofloxacin	Rv0005	511	T	P	Y	N
+Ciprofloxacin	Rv0005	512	E	D	Y	N
+Ciprofloxacin	Rv0005	512	E	V	Y	N
+Ciprofloxacin	Rv0005	515	A	T	Y	N
+Ciprofloxacin	Rv0005	515	A	V	Y	N
+Ciprofloxacin	Rv0005	538	N	D	N	Y
+Ciprofloxacin	Rv0005	549	Q	H	Y	N
+Ciprofloxacin	Rv0006	74	A	S	Y	N
+Ciprofloxacin	Rv0006	80	T	A	Y	N
+Ciprofloxacin	Rv0006	88	G	A	Y	N
+Ciprofloxacin	Rv0006	89	D	N	Y	N
+Ciprofloxacin	Rv0006	90	A	G	Y	N
+Ciprofloxacin	Rv0006	90	A	V	Y	Y
+Ciprofloxacin	Rv0006	91	S	P	Y	Y
+Ciprofloxacin	Rv0006	94	D	A	Y	Y
+Ciprofloxacin	Rv0006	94	D	F	Y	N
+Ciprofloxacin	Rv0006	94	D	G	Y	Y
+Ciprofloxacin	Rv0006	94	D	H	Y	Y
+Ciprofloxacin	Rv0006	94	D	N	Y	Y
+Ciprofloxacin	Rv0006	94	D	V	Y	N
+Ciprofloxacin	Rv0006	94	D	Y	Y	Y
+Ciprofloxacin	Rv0006	95	S	T	Y	N
+Ciprofloxacin	Rv0006	102	P	H	Y	Y
+Ciprofloxacin	Rv0006	109	L	V	Y	N
+Ciprofloxacin	Rv0006	126	A	R	N	Y
+Ethambutol	Rv0340	173	T	M	Y	N
+Ethambutol	Rv0341	-89	C	T	Y	N
+Ethambutol	Rv0341	47	A	T	Y	N
+Ethambutol	Rv0342	308	G	R	Y	N
+Ethambutol	Rv0342	501	S	W	Y	N
+Ethambutol	Rv0343	248	P	A	Y	N
+Ethambutol	Rv0343	351	Q	*	Y	N
+Ethambutol	Rv1267c	7	V	G	Y	N
+Ethambutol	Rv1267c	32	T	P	Y	N
+Ethambutol	Rv1267c	53	D	H	Y	N
+Ethambutol	Rv1267c	110	C	Y	Y	N
+Ethambutol	Rv1267c	172	L	R	Y	N
+Ethambutol	Rv1267c	176	A	V	Y	N
+Ethambutol	Rv1267c	186	R	G	Y	N
+Ethambutol	Rv1267c	187	A	V	Y	N
+Ethambutol	Rv1267c	188	S	R	Y	N
+Ethambutol	Rv1267c	200	E	A	Y	N
+Ethambutol	Rv1267c	211	L	M	Y	N
+Ethambutol	Rv1267c	223	D	E	Y	N
+Ethambutol	Rv1267c	230	R	W	Y	N
+Ethambutol	Rv1267c	240	G	R	Y	N
+Ethambutol	Rv1267c	292	L	M	Y	N
+Ethambutol	Rv1267c	303	L	E	Y	N
+Ethambutol	Rv1267c	320	L	V	Y	N
+Ethambutol	Rv1267c	326	S	N	Y	N
+Ethambutol	Rv1267c	350	V	G	Y	N
+Ethambutol	Rv1267c	351	H	E	Y	N
+Ethambutol	Rv1267c	356	R	G	Y	N
+Ethambutol	Rv1267c	369	I	T	Y	N
+Ethambutol	Rv1267c	379	Q	R	Y	N
+Ethambutol	Rv1267c	396	I	T	Y	N
+Ethambutol	Rv3124	-16	A	G	Y	N
+Ethambutol	Rv3125	54	P	S	Y	N
+Ethambutol	Rv3126	276	L	R	Y	N
+Ethambutol	Rv3264c	152	D	N	Y	N
+Ethambutol	Rv3266c	-71	G	T	Y	N
+Ethambutol	Rv3266c	257	S	P	Y	N
+Ethambutol	Rv3266c	284	T	K	Y	N
+Ethambutol	Rv3793	5	G	S	Y	N
+Ethambutol	Rv3793	244	A	T	Y	N
+Ethambutol	Rv3793	247	A	P	Y	N
+Ethambutol	Rv3793	251	L	R	Y	N
+Ethambutol	Rv3793	254	A	G	Y	N
+Ethambutol	Rv3793	270	T	I	Y	N
+Ethambutol	Rv3793	272	G	S	Y	N
+Ethambutol	Rv3793	285	H	Y	Y	N
+Ethambutol	Rv3793	287	V	F	Y	N
+Ethambutol	Rv3793	288	G	V	Y	N
+Ethambutol	Rv3793	288	G	W	Y	N
+Ethambutol	Rv3793	296	Y	H	Y	N
+Ethambutol	Rv3793	296	Y	S	Y	N
+Ethambutol	Rv3793	297	I	L	Y	N
+Ethambutol	Rv3793	297	I	T	Y	N
+Ethambutol	Rv3793	300	M	R	Y	N
+Ethambutol	Rv3793	302	R	G	Y	N
+Ethambutol	Rv3793	303	V	G	Y	N
+Ethambutol	Rv3793	307	A	T	Y	N
+Ethambutol	Rv3793	308	G	D	Y	N
+Ethambutol	Rv3793	309	Y	N	Y	N
+Ethambutol	Rv3793	310	M	K	Y	N
+Ethambutol	Rv3793	325	G	S	Y	N
+Ethambutol	Rv3793	326	W	R	Y	N
+Ethambutol	Rv3793	327	Y	N	Y	N
+Ethambutol	Rv3793	394	N	D	Y	N
+Ethambutol	Rv3793	738	R	Q	Y	N
+Ethambutol	Rv3793	981	V	L	Y	N
+Ethambutol	Rv3794	-16	C	T	Y	N
+Ethambutol	Rv3794	-12	C	T	Y	N
+Ethambutol	Rv3794	-11	C	A	Y	N
+Ethambutol	Rv3794	4	D	N	Y	N
+Ethambutol	Rv3794	201	A	T	Y	N
+Ethambutol	Rv3794	321	G	S	Y	N
+Ethambutol	Rv3794	350	G	D	Y	N
+Ethambutol	Rv3794	462	A	V	Y	N
+Ethambutol	Rv3794	833	D	A	Y	N
+Ethambutol	Rv3794	913	P	S	Y	N
+Ethambutol	Rv3795	128	V	G	Y	N
+Ethambutol	Rv3795	221	A	G	Y	N
+Ethambutol	Rv3795	225	A	S	Y	N
+Ethambutol	Rv3795	227	V	G	Y	N
+Ethambutol	Rv3795	239	L	P	Y	N
+Ethambutol	Rv3795	240	D	H	Y	N
+Ethambutol	Rv3795	257	R	W	Y	N
+Ethambutol	Rv3795	271	A	V	Y	N
+Ethambutol	Rv3795	272	S	C	Y	N
+Ethambutol	Rv3795	272	S	I	Y	N
+Ethambutol	Rv3795	274	R	P	Y	N
+Ethambutol	Rv3795	281	A	P	Y	N
+Ethambutol	Rv3795	281	F	L	Y	N
+Ethambutol	Rv3795	282	V	G	Y	N
+Ethambutol	Rv3795	282	V	L	Y	N
+Ethambutol	Rv3795	285	F	L	Y	N
+Ethambutol	Rv3795	287	F	C	Y	N
+Ethambutol	Rv3795	287	F	V	Y	N
+Ethambutol	Rv3795	293	I	N	Y	N
+Ethambutol	Rv3795	294	G	S	Y	N
+Ethambutol	Rv3795	296	N	K	Y	N
+Ethambutol	Rv3795	297	S	A	Y	N
+Ethambutol	Rv3795	297	S	L	Y	N
+Ethambutol	Rv3795	299	D	E	Y	N
+Ethambutol	Rv3795	306	M	I	Y	Y
+Ethambutol	Rv3795	306	M	L	Y	Y
+Ethambutol	Rv3795	306	M	T	Y	N
+Ethambutol	Rv3795	306	M	V	Y	Y
+Ethambutol	Rv3795	309	V	G	Y	N
+Ethambutol	Rv3795	310	A	R	Y	N
+Ethambutol	Rv3795	311	D	H	Y	N
+Ethambutol	Rv3795	311	D	R	Y	N
+Ethambutol	Rv3795	312	H	R	Y	N
+Ethambutol	Rv3795	314	G	A	Y	N
+Ethambutol	Rv3795	314	G	E	Y	N
+Ethambutol	Rv3795	315	Y	L	Y	N
+Ethambutol	Rv3795	317	S	T	Y	N
+Ethambutol	Rv3795	318	N	H	Y	N
+Ethambutol	Rv3795	318	N	K	Y	N
+Ethambutol	Rv3795	318	N	S	Y	N
+Ethambutol	Rv3795	319	Y	C	Y	N
+Ethambutol	Rv3795	319	Y	N	Y	N
+Ethambutol	Rv3795	319	Y	S	Y	N
+Ethambutol	Rv3795	322	Y	C	Y	N
+Ethambutol	Rv3795	328	D	G	Y	N
+Ethambutol	Rv3795	328	D	V	Y	N
+Ethambutol	Rv3795	328	D	Y	Y	N
+Ethambutol	Rv3795	328	X	*	Y	N
+Ethambutol	Rv3795	330	F	V	Y	N
+Ethambutol	Rv3795	331	D	Y	Y	N
+Ethambutol	Rv3795	331	G	R	Y	N
+Ethambutol	Rv3795	332	W	L	Y	N
+Ethambutol	Rv3795	333	Y	H	Y	N
+Ethambutol	Rv3795	334	Y	H	Y	N
+Ethambutol	Rv3795	347	S	I	Y	N
+Ethambutol	Rv3795	347	S	T	Y	N
+Ethambutol	Rv3795	356	A	F	Y	N
+Ethambutol	Rv3795	356	A	S	Y	N
+Ethambutol	Rv3795	356	A	V	Y	N
+Ethambutol	Rv3795	357	A	S	Y	N
+Ethambutol	Rv3795	357	A	V	Y	N
+Ethambutol	Rv3795	358	G	V	Y	N
+Ethambutol	Rv3795	359	L	I	Y	N
+Ethambutol	Rv3795	360	V	M	Y	N
+Ethambutol	Rv3795	366	S	P	Y	N
+Ethambutol	Rv3795	367	R	P	Y	N
+Ethambutol	Rv3795	368	E	A	Y	N
+Ethambutol	Rv3795	368	E	D	Y	N
+Ethambutol	Rv3795	368	E	Q	Y	N
+Ethambutol	Rv3795	369	V	A	Y	N
+Ethambutol	Rv3795	369	V	L	Y	N
+Ethambutol	Rv3795	370	L	R	Y	N
+Ethambutol	Rv3795	371	P	R	Y	N
+Ethambutol	Rv3795	374	G	V	Y	N
+Ethambutol	Rv3795	375	P	A	Y	N
+Ethambutol	Rv3795	377	V	G	Y	N
+Ethambutol	Rv3795	377	V	M	Y	N
+Ethambutol	Rv3795	378	E	A	Y	N
+Ethambutol	Rv3795	378	E	K	Y	N
+Ethambutol	Rv3795	379	A	D	Y	N
+Ethambutol	Rv3795	379	A	T	Y	N
+Ethambutol	Rv3795	380	S	D	Y	N
+Ethambutol	Rv3795	380	S	R	Y	N
+Ethambutol	Rv3795	384	Y	N	Y	N
+Ethambutol	Rv3795	388	A	G	Y	N
+Ethambutol	Rv3795	395	W	C	Y	N
+Ethambutol	Rv3795	395	W	R	Y	N
+Ethambutol	Rv3795	397	P	Q	Y	N
+Ethambutol	Rv3795	397	P	T	Y	N
+Ethambutol	Rv3795	398	F	H	Y	N
+Ethambutol	Rv3795	398	F	Y	Y	N
+Ethambutol	Rv3795	399	N	D	Y	N
+Ethambutol	Rv3795	399	N	H	Y	N
+Ethambutol	Rv3795	400	N	K	Y	N
+Ethambutol	Rv3795	400	N	P	Y	N
+Ethambutol	Rv3795	401	G	S	Y	N
+Ethambutol	Rv3795	405	E	P	Y	N
+Ethambutol	Rv3795	406	G	A	Y	N
+Ethambutol	Rv3795	406	G	C	Y	N
+Ethambutol	Rv3795	406	G	D	Y	Y
+Ethambutol	Rv3795	406	G	P	Y	N
+Ethambutol	Rv3795	406	G	S	Y	Y
+Ethambutol	Rv3795	423	M	I	Y	N
+Ethambutol	Rv3795	430	P	L	Y	N
+Ethambutol	Rv3795	431	A	T	Y	N
+Ethambutol	Rv3795	434	R	G	Y	N
+Ethambutol	Rv3795	435	V	G	Y	N
+Ethambutol	Rv3795	436	V	G	Y	N
+Ethambutol	Rv3795	437	T	A	Y	N
+Ethambutol	Rv3795	446	P	H	Y	N
+Ethambutol	Rv3795	448	G	V	Y	N
+Ethambutol	Rv3795	452	V	L	Y	N
+Ethambutol	Rv3795	459	G	A	Y	N
+Ethambutol	Rv3795	460	R	C	Y	N
+Ethambutol	Rv3795	460	R	L	Y	N
+Ethambutol	Rv3795	461	P	S	Y	N
+Ethambutol	Rv3795	465	I	D	Y	N
+Ethambutol	Rv3795	469	R	P	Y	N
+Ethambutol	Rv3795	471	R	P	Y	N
+Ethambutol	Rv3795	497	Q	K	Y	N
+Ethambutol	Rv3795	497	Q	R	Y	Y
+Ethambutol	Rv3795	630	T	I	Y	N
+Ethambutol	Rv3795	659	A	T	Y	N
+Ethambutol	Rv3795	745	G	D	Y	N
+Ethambutol	Rv3795	959	D	A	Y	N
+Ethambutol	Rv3795	1000	M	R	Y	N
+Ethambutol	Rv3795	1024	D	N	Y	N
+Ethionamide	Rv1483	-17	G	T	Y	N
+Ethionamide	Rv1483	-15	C	T	Y	N
+Ethionamide	Rv1484	94	S	A	Y	N
+Ethionamide	Rv1484	95	I	P	Y	N
+Ethionamide	Rv3854c	21	X	*	Y	N
+Ethionamide	Rv3854c	36	X	*	Y	N
+Ethionamide	Rv3854c	43	G	C	Y	N
+Ethionamide	Rv3854c	43	G	S	Y	N
+Ethionamide	Rv3854c	51	P	L	Y	N
+Ethionamide	Rv3854c	55	D	A	Y	N
+Ethionamide	Rv3854c	58	D	A	Y	N
+Ethionamide	Rv3854c	84	Y	D	Y	N
+Ethionamide	Rv3854c	112	X	*	Y	N
+Ethionamide	Rv3854c	186	T	K	Y	N
+Ethionamide	Rv3854c	223	E	K	Y	N
+Ethionamide	Rv3854c	234	X	*	Y	N
+Ethionamide	Rv3854c	246	Q	*	Y	N
+Ethionamide	Rv3854c	256	X	*	Y	N
+Ethionamide	Rv3854c	270	X	*	Y	N
+Ethionamide	Rv3854c	338	I	S	Y	N
+Ethionamide	Rv3854c	342	T	K	Y	N
+Ethionamide	Rv3854c	381	A	P	Y	N
+Ethionamide	Rv3854c	385	G	D	Y	N
+Ethionamide	Rv3854c	392	T	A	Y	N
+Ethionamide	Rv3854c	413	G	D	Y	N
+Ethionamide	Rv3854c	430	X	*	Y	N
+Ethionamide	Rv3854c	440	X	*	Y	N
+Ethionamide	Rv3854c	463	R	S	Y	N
+Isoniazid	Rv0129c	-63	C	T	Y	N
+Isoniazid	Rv0129c	-23	A	C	Y	N
+Isoniazid	Rv0129c	158	G	S	Y	N
+Isoniazid	Rv0340	163	V	I	Y	N
+Isoniazid	Rv0342	3	P	A	Y	N
+Isoniazid	Rv0342	94	X	*	Y	N
+Isoniazid	Rv0342	537	R	H	Y	N
+Isoniazid	Rv0343	83	W	G	Y	N
+Isoniazid	Rv1483	-92	A	T	Y	N
+Isoniazid	Rv1483	-67	G	C	Y	N
+Isoniazid	Rv1483	-24	G	T	Y	N
+Isoniazid	Rv1483	-17	G	T	Y	N
+Isoniazid	Rv1483	-15	C	T	Y	Y
+Isoniazid	Rv1483	-8	T	A	Y	Y
+Isoniazid	Rv1483	-8	T	C	Y	Y
+Isoniazid	Rv1483	-8	T	G	Y	N
+Isoniazid	Rv1483	-5	T	A	Y	N
+Isoniazid	Rv1483	5	A	P	Y	N
+Isoniazid	Rv1483	14	V	L	Y	N
+Isoniazid	Rv1483	21	T	A	Y	N
+Isoniazid	Rv1484	8	K	N	Y	N
+Isoniazid	Rv1484	16	I	T	Y	N
+Isoniazid	Rv1484	21	I	T	Y	N
+Isoniazid	Rv1484	21	I	V	Y	N
+Isoniazid	Rv1484	47	I	T	Y	N
+Isoniazid	Rv1484	78	V	A	Y	N
+Isoniazid	Rv1484	94	S	A	Y	N
+Isoniazid	Rv1484	94	S	L	Y	N
+Isoniazid	Rv1484	95	I	P	Y	N
+Isoniazid	Rv1484	95	I	T	Y	N
+Isoniazid	Rv1484	194	I	T	Y	N
+Isoniazid	Rv1484	202	R	G	Y	N
+Isoniazid	Rv1484	217	E	D	Y	N
+Isoniazid	Rv1592c	-29	G	A	Y	N
+Isoniazid	Rv1592c	42	P	L	Y	N
+Isoniazid	Rv1592c	430	V	A	Y	N
+Isoniazid	Rv1772	4	T	A	Y	N
+Isoniazid	Rv1854c	13	R	C	Y	N
+Isoniazid	Rv1854c	18	V	A	Y	N
+Isoniazid	Rv1854c	110	T	A	Y	N
+Isoniazid	Rv1854c	239	L	P	Y	N
+Isoniazid	Rv1854c	268	R	H	Y	N
+Isoniazid	Rv1908c	1	V	A	Y	N
+Isoniazid	Rv1908c	1	V	L	Y	N
+Isoniazid	Rv1908c	2	P	S	Y	N
+Isoniazid	Rv1908c	10	X	*	Y	N
+Isoniazid	Rv1908c	11	T	A	Y	N
+Isoniazid	Rv1908c	12	T	P	Y	N
+Isoniazid	Rv1908c	17	S	N	Y	N
+Isoniazid	Rv1908c	19	G	D	Y	N
+Isoniazid	Rv1908c	33	X	*	Y	N
+Isoniazid	Rv1908c	35	N	D	Y	N
+Isoniazid	Rv1908c	37	X	*	Y	N
+Isoniazid	Rv1908c	38	W	*	Y	N
+Isoniazid	Rv1908c	48	L	Q	Y	N
+Isoniazid	Rv1908c	50	X	*	Y	N
+Isoniazid	Rv1908c	61	A	T	Y	N
+Isoniazid	Rv1908c	62	X	*	Y	N
+Isoniazid	Rv1908c	63	D	E	Y	N
+Isoniazid	Rv1908c	65	A	T	Y	N
+Isoniazid	Rv1908c	65	X	*	Y	N
+Isoniazid	Rv1908c	66	A	P	Y	N
+Isoniazid	Rv1908c	71	I	N	Y	N
+Isoniazid	Rv1908c	72	D	G	Y	N
+Isoniazid	Rv1908c	72	D	K	Y	N
+Isoniazid	Rv1908c	73	D	N	Y	N
+Isoniazid	Rv1908c	74	D	G	Y	N
+Isoniazid	Rv1908c	74	D	Y	Y	N
+Isoniazid	Rv1908c	84	M	I	Y	N
+Isoniazid	Rv1908c	85	T	P	Y	N
+Isoniazid	Rv1908c	88	Q	R	Y	N
+Isoniazid	Rv1908c	90	W	*	Y	N
+Isoniazid	Rv1908c	91	W	R	Y	N
+Isoniazid	Rv1908c	94	D	A	Y	N
+Isoniazid	Rv1908c	94	D	G	Y	N
+Isoniazid	Rv1908c	96	G	C	Y	N
+Isoniazid	Rv1908c	99	G	E	Y	N
+Isoniazid	Rv1908c	104	R	L	Y	N
+Isoniazid	Rv1908c	104	R	Q	Y	N
+Isoniazid	Rv1908c	106	A	V	Y	N
+Isoniazid	Rv1908c	107	W	*	Y	N
+Isoniazid	Rv1908c	107	W	R	Y	N
+Isoniazid	Rv1908c	108	H	D	Y	N
+Isoniazid	Rv1908c	108	H	E	Y	N
+Isoniazid	Rv1908c	108	H	Q	Y	N
+Isoniazid	Rv1908c	109	A	V	Y	N
+Isoniazid	Rv1908c	110	A	V	Y	N
+Isoniazid	Rv1908c	113	X	*	Y	N
+Isoniazid	Rv1908c	117	D	A	Y	N
+Isoniazid	Rv1908c	120	X	*	Y	N
+Isoniazid	Rv1908c	121	G	C	Y	N
+Isoniazid	Rv1908c	121	G	V	Y	N
+Isoniazid	Rv1908c	122	X	*	Y	N
+Isoniazid	Rv1908c	123	X	*	Y	N
+Isoniazid	Rv1908c	124	X	*	Y	N
+Isoniazid	Rv1908c	125	G	C	Y	N
+Isoniazid	Rv1908c	125	X	H	Y	N
+Isoniazid	Rv1908c	126	M	I	Y	N
+Isoniazid	Rv1908c	127	Q	P	Y	N
+Isoniazid	Rv1908c	128	R	P	Y	N
+Isoniazid	Rv1908c	138	N	D	Y	N
+Isoniazid	Rv1908c	138	N	H	Y	N
+Isoniazid	Rv1908c	138	N	S	Y	N
+Isoniazid	Rv1908c	138	N	T	Y	N
+Isoniazid	Rv1908c	139	A	P	Y	N
+Isoniazid	Rv1908c	140	S	A	Y	N
+Isoniazid	Rv1908c	140	S	G	Y	N
+Isoniazid	Rv1908c	140	S	N	Y	N
+Isoniazid	Rv1908c	140	S	R	Y	N
+Isoniazid	Rv1908c	141	L	F	Y	N
+Isoniazid	Rv1908c	142	D	A	Y	N
+Isoniazid	Rv1908c	143	K	T	Y	N
+Isoniazid	Rv1908c	148	L	A	Y	N
+Isoniazid	Rv1908c	148	L	R	Y	N
+Isoniazid	Rv1908c	150	L	A	Y	N
+Isoniazid	Rv1908c	155	Y	C	Y	N
+Isoniazid	Rv1908c	155	Y	S	Y	N
+Isoniazid	Rv1908c	160	S	L	Y	N
+Isoniazid	Rv1908c	162	A	T	Y	N
+Isoniazid	Rv1908c	169	G	A	Y	N
+Isoniazid	Rv1908c	172	A	T	Y	N
+Isoniazid	Rv1908c	172	A	V	Y	N
+Isoniazid	Rv1908c	176	M	I	Y	N
+Isoniazid	Rv1908c	180	T	C	Y	N
+Isoniazid	Rv1908c	180	T	K	Y	N
+Isoniazid	Rv1908c	186	G	H	Y	N
+Isoniazid	Rv1908c	186	G	V	Y	N
+Isoniazid	Rv1908c	191	W	R	Y	N
+Isoniazid	Rv1908c	191	X	*	Y	N
+Isoniazid	Rv1908c	195	E	K	Y	N
+Isoniazid	Rv1908c	198	W	*	Y	N
+Isoniazid	Rv1908c	200	K	*	Y	N
+Isoniazid	Rv1908c	204	W	R	Y	N
+Isoniazid	Rv1908c	217	X	*	Y	N
+Isoniazid	Rv1908c	218	N	K	Y	N
+Isoniazid	Rv1908c	224	Q	E	Y	N
+Isoniazid	Rv1908c	229	Y	F	Y	N
+Isoniazid	Rv1908c	230	V	A	Y	N
+Isoniazid	Rv1908c	234	G	E	Y	N
+Isoniazid	Rv1908c	234	G	R	Y	N
+Isoniazid	Rv1908c	236	N	T	Y	N
+Isoniazid	Rv1908c	238	N	K	Y	N
+Isoniazid	Rv1908c	241	P	P	Y	N
+Isoniazid	Rv1908c	243	A	S	Y	N
+Isoniazid	Rv1908c	249	R	C	Y	N
+Isoniazid	Rv1908c	251	T	M	Y	N
+Isoniazid	Rv1908c	252	F	L	Y	N
+Isoniazid	Rv1908c	257	M	I	Y	N
+Isoniazid	Rv1908c	257	M	T	Y	N
+Isoniazid	Rv1908c	258	N	S	Y	N
+Isoniazid	Rv1908c	262	T	R	Y	N
+Isoniazid	Rv1908c	264	A	T	Y	N
+Isoniazid	Rv1908c	268	X	*	Y	N
+Isoniazid	Rv1908c	275	T	A	Y	N
+Isoniazid	Rv1908c	275	T	P	Y	N
+Isoniazid	Rv1908c	275	T	S	Y	N
+Isoniazid	Rv1908c	279	G	D	Y	Y
+Isoniazid	Rv1908c	280	P	H	Y	N
+Isoniazid	Rv1908c	281	A	V	Y	N
+Isoniazid	Rv1908c	285	G	D	Y	N
+Isoniazid	Rv1908c	289	E	D	Y	N
+Isoniazid	Rv1908c	289	X	*	Y	N
+Isoniazid	Rv1908c	291	A	P	Y	N
+Isoniazid	Rv1908c	295	Q	P	Y	N
+Isoniazid	Rv1908c	297	G	V	Y	N
+Isoniazid	Rv1908c	299	G	A	Y	N
+Isoniazid	Rv1908c	299	G	C	Y	N
+Isoniazid	Rv1908c	300	W	*	Y	N
+Isoniazid	Rv1908c	300	W	G	Y	N
+Isoniazid	Rv1908c	301	X	*	Y	N
+Isoniazid	Rv1908c	302	S	R	Y	N
+Isoniazid	Rv1908c	304	Y	S	Y	N
+Isoniazid	Rv1908c	305	G	A	Y	N
+Isoniazid	Rv1908c	307	G	A	Y	N
+Isoniazid	Rv1908c	307	G	E	Y	N
+Isoniazid	Rv1908c	307	G	R	Y	N
+Isoniazid	Rv1908c	308	T	P	Y	N
+Isoniazid	Rv1908c	309	G	C	Y	N
+Isoniazid	Rv1908c	309	G	D	Y	N
+Isoniazid	Rv1908c	309	G	F	Y	N
+Isoniazid	Rv1908c	309	G	S	Y	N
+Isoniazid	Rv1908c	310	X	*	Y	N
+Isoniazid	Rv1908c	311	D	E	Y	N
+Isoniazid	Rv1908c	311	D	F	Y	N
+Isoniazid	Rv1908c	311	D	G	Y	N
+Isoniazid	Rv1908c	311	D	Y	Y	N
+Isoniazid	Rv1908c	314	S	N	Y	N
+Isoniazid	Rv1908c	314	S	T	Y	N
+Isoniazid	Rv1908c	315	S	G	Y	N
+Isoniazid	Rv1908c	315	S	I	Y	Y
+Isoniazid	Rv1908c	315	S	L	Y	N
+Isoniazid	Rv1908c	315	S	N	Y	Y
+Isoniazid	Rv1908c	315	S	R	Y	Y
+Isoniazid	Rv1908c	315	S	T	Y	Y
+Isoniazid	Rv1908c	316	G	D	Y	N
+Isoniazid	Rv1908c	316	G	S	Y	N
+Isoniazid	Rv1908c	317	I	L	Y	N
+Isoniazid	Rv1908c	318	G	V	Y	N
+Isoniazid	Rv1908c	321	W	*	Y	N
+Isoniazid	Rv1908c	321	W	C	Y	N
+Isoniazid	Rv1908c	321	W	L	Y	N
+Isoniazid	Rv1908c	321	W	R	Y	N
+Isoniazid	Rv1908c	321	W	S	Y	N
+Isoniazid	Rv1908c	324	T	P	Y	N
+Isoniazid	Rv1908c	328	W	C	Y	N
+Isoniazid	Rv1908c	328	W	G	Y	N
+Isoniazid	Rv1908c	328	W	L	Y	N
+Isoniazid	Rv1908c	328	W	S	Y	N
+Isoniazid	Rv1908c	331	S	C	Y	N
+Isoniazid	Rv1908c	334	I	T	Y	N
+Isoniazid	Rv1908c	335	I	T	Y	N
+Isoniazid	Rv1908c	335	I	V	Y	N
+Isoniazid	Rv1908c	336	L	R	Y	N
+Isoniazid	Rv1908c	337	Y	C	Y	N
+Isoniazid	Rv1908c	337	Y	F	Y	N
+Isoniazid	Rv1908c	341	W	S	Y	N
+Isoniazid	Rv1908c	345	K	T	Y	N
+Isoniazid	Rv1908c	346	X	*	Y	N
+Isoniazid	Rv1908c	350	A	S	Y	N
+Isoniazid	Rv1908c	350	A	T	Y	N
+Isoniazid	Rv1908c	352	Q	*	Y	N
+Isoniazid	Rv1908c	357	D	H	Y	N
+Isoniazid	Rv1908c	357	D	N	Y	N
+Isoniazid	Rv1908c	361	A	D	Y	N
+Isoniazid	Rv1908c	364	X	*	Y	N
+Isoniazid	Rv1908c	378	L	P	Y	N
+Isoniazid	Rv1908c	379	A	V	Y	N
+Isoniazid	Rv1908c	380	T	I	Y	N
+Isoniazid	Rv1908c	381	D	G	Y	N
+Isoniazid	Rv1908c	384	L	R	Y	N
+Isoniazid	Rv1908c	390	T	I	Y	N
+Isoniazid	Rv1908c	390	X	L	Y	N
+Isoniazid	Rv1908c	393	I	N	Y	N
+Isoniazid	Rv1908c	394	T	A	Y	N
+Isoniazid	Rv1908c	397	W	*	Y	N
+Isoniazid	Rv1908c	401	X	*	Y	N
+Isoniazid	Rv1908c	409	A	D	Y	N
+Isoniazid	Rv1908c	409	A	R	Y	N
+Isoniazid	Rv1908c	413	Y	H	Y	N
+Isoniazid	Rv1908c	414	K	N	Y	N
+Isoniazid	Rv1908c	418	R	L	Y	N
+Isoniazid	Rv1908c	418	R	Q	Y	N
+Isoniazid	Rv1908c	419	D	H	Y	N
+Isoniazid	Rv1908c	424	A	E	Y	N
+Isoniazid	Rv1908c	424	A	V	Y	N
+Isoniazid	Rv1908c	429	P	S	Y	N
+Isoniazid	Rv1908c	434	Q	*	Y	N
+Isoniazid	Rv1908c	438	X	*	Y	N
+Isoniazid	Rv1908c	444	A	T	Y	N
+Isoniazid	Rv1908c	449	L	F	Y	N
+Isoniazid	Rv1908c	454	E	R	Y	N
+Isoniazid	Rv1908c	457	S	I	Y	N
+Isoniazid	Rv1908c	462	I	T	Y	N
+Isoniazid	Rv1908c	463	R	L	Y	N
+Isoniazid	Rv1908c	477	W	*	Y	N
+Isoniazid	Rv1908c	484	R	S	Y	N
+Isoniazid	Rv1908c	485	G	V	Y	N
+Isoniazid	Rv1908c	488	K	N	Y	N
+Isoniazid	Rv1908c	490	R	C	Y	N
+Isoniazid	Rv1908c	491	G	C	Y	N
+Isoniazid	Rv1908c	502	Q	H	Y	N
+Isoniazid	Rv1908c	505	W	R	Y	N
+Isoniazid	Rv1908c	505	W	S	Y	N
+Isoniazid	Rv1908c	511	X	*	Y	N
+Isoniazid	Rv1908c	513	X	*	Y	N
+Isoniazid	Rv1908c	515	R	C	Y	N
+Isoniazid	Rv1908c	521	X	*	Y	N
+Isoniazid	Rv1908c	525	Q	P	Y	N
+Isoniazid	Rv1908c	529	N	D	Y	N
+Isoniazid	Rv1908c	550	A	D	Y	N
+Isoniazid	Rv1908c	551	A	G	Y	N
+Isoniazid	Rv1908c	556	X	*	Y	N
+Isoniazid	Rv1908c	567	F	S	Y	N
+Isoniazid	Rv1908c	573	D	N	Y	N
+Isoniazid	Rv1908c	574	A	E	Y	N
+Isoniazid	Rv1908c	574	A	V	Y	N
+Isoniazid	Rv1908c	587	L	I	Y	N
+Isoniazid	Rv1908c	587	L	M	Y	N
+Isoniazid	Rv1908c	587	L	P	Y	N
+Isoniazid	Rv1908c	589	P	T	Y	N
+Isoniazid	Rv1908c	593	G	D	Y	N
+Isoniazid	Rv1908c	607	E	K	Y	N
+Isoniazid	Rv1908c	609	M	I	Y	N
+Isoniazid	Rv1908c	617	X	*	Y	N
+Isoniazid	Rv1908c	619	L	P	Y	N
+Isoniazid	Rv1908c	629	G	S	Y	N
+Isoniazid	Rv1908c	634	L	F	Y	N
+Isoniazid	Rv1908c	636	A	E	Y	N
+Isoniazid	Rv1908c	653	L	P	Y	N
+Isoniazid	Rv1908c	685	G	R	Y	N
+Isoniazid	Rv1908c	695	D	A	Y	N
+Isoniazid	Rv1908c	699	G	Q	Y	N
+Isoniazid	Rv1908c	700	S	P	Y	N
+Isoniazid	Rv1908c	710	V	A	Y	N
+Isoniazid	Rv1908c	713	A	P	Y	N
+Isoniazid	Rv1908c	716	A	P	Y	N
+Isoniazid	Rv1908c	717	Q	P	Y	N
+Isoniazid	Rv1908c	727	A	D	Y	N
+Isoniazid	Rv1908c	728	W	C	Y	N
+Isoniazid	Rv1908c	735	D	A	Y	N
+Isoniazid	Rv1908c	735	D	N	Y	N
+Isoniazid	Rv1908c	735	X	D	Y	N
+Isoniazid	Rv1909c	5	S	P	Y	N
+Isoniazid	Rv2243	275	S	N	Y	N
+Isoniazid	Rv2245	66	D	N	Y	N
+Isoniazid	Rv2245	77	M	I	Y	N
+Isoniazid	Rv2245	121	R	K	Y	N
+Isoniazid	Rv2245	269	G	S	Y	Y
+Isoniazid	Rv2245	312	G	S	Y	N
+Isoniazid	Rv2245	387	G	D	Y	N
+Isoniazid	Rv2245	413	F	L	Y	N
+Isoniazid	Rv2247	229	D	G	Y	N
+Isoniazid	Rv2428	-66	G	A	Y	N
+Isoniazid	Rv2428	-49	T	G	Y	N
+Isoniazid	Rv2428	-46	G	A	Y	Y
+Isoniazid	Rv2428	-44	T	A	Y	N
+Isoniazid	Rv2428	-40	T	C	Y	N
+Isoniazid	Rv2428	-39	C	T	Y	Y
+Isoniazid	Rv2428	-34	T	A	Y	N
+Isoniazid	Rv2428	-32	C	T	Y	N
+Isoniazid	Rv2428	-32	G	A	Y	N
+Isoniazid	Rv2428	-30	C	T	Y	N
+Isoniazid	Rv2428	-20	C	T	Y	N
+Isoniazid	Rv2428	-12	C	T	Y	N
+Isoniazid	Rv2428	-9	G	A	Y	N
+Isoniazid	Rv2428	-6	G	A	Y	N
+Isoniazid	Rv2428	-5	G	A	Y	N
+Isoniazid	Rv2428	2	P	S	Y	N
+Isoniazid	Rv2428	3	L	K	Y	N
+Isoniazid	Rv2428	5	T	I	Y	N
+Isoniazid	Rv2428	10	F	I	Y	N
+Isoniazid	Rv2428	21	I	T	N	Y
+Isoniazid	Rv2428	33	D	N	Y	N
+Isoniazid	Rv2428	73	D	H	Y	N
+Isoniazid	Rv2428	76	E	K	Y	N
+Isoniazid	Rv2428	191	L	R	Y	N
+Isoniazid	Rv2846c	73	I	T	Y	N
+Isoniazid	Rv3566c	67	G	R	Y	N
+Isoniazid	Rv3566c	207	G	E	Y	N
+Isoniazid	Rv3795	333	Y	H	Y	N
+Kanamycin	Rv1694	3	R	*	Y	N
+Kanamycin	Rv1694	7	X	*	Y	N
+Kanamycin	Rv1694	8	X	*	Y	N
+Kanamycin	Rv1694	14	R	W	Y	N
+Kanamycin	Rv1694	18	R	*	Y	N
+Kanamycin	Rv1694	22	Q	*	Y	N
+Kanamycin	Rv1694	23	X	A	Y	N
+Kanamycin	Rv1694	67	A	E	Y	N
+Kanamycin	Rv1694	69	K	E	Y	N
+Kanamycin	Rv1694	72	X	*	Y	N
+Kanamycin	Rv1694	91	A	E	Y	N
+Kanamycin	Rv1694	103	X	*	Y	N
+Kanamycin	Rv1694	118	L	P	Y	N
+Kanamycin	Rv1694	128	V	E	Y	N
+Kanamycin	Rv1694	132	X	*	Y	N
+Kanamycin	Rv1694	133	X	*	Y	N
+Kanamycin	Rv1694	150	L	P	Y	N
+Kanamycin	Rv1694	159	X	*	Y	N
+Kanamycin	Rv1694	183	P	L	Y	N
+Kanamycin	Rv1694	184	Q	*	Y	N
+Kanamycin	Rv1694	185	F	L	Y	N
+Kanamycin	Rv1694	195	X	*	Y	N
+Kanamycin	Rv1694	217	X	*	Y	N
+Kanamycin	Rv1694	218	X	*	Y	N
+Kanamycin	Rv1694	224	X	*	Y	N
+Kanamycin	Rv1694	236	N	K	Y	N
+Kanamycin	Rv1694	238	E	K	Y	N
+Kanamycin	Rv1694	252	X	*	Y	N
+Kanamycin	Rvnr01	1401	A	G	Y	N
+Kanamycin	Rvnr01	1402	C	A	Y	N
+Kanamycin	Rvnr01	1402	C	T	Y	N
+Kanamycin	Rvnr01	1484	G	T	Y	N
+Levofloxacin	Rv0005	457	R	C	Y	N
+Levofloxacin	Rv0005	458	S	F	Y	N
+Levofloxacin	Rv0005	472	D	A	Y	N
+Levofloxacin	Rv0005	472	D	H	Y	N
+Levofloxacin	Rv0005	472	D	N	Y	N
+Levofloxacin	Rv0005	481	G	A	Y	N
+Levofloxacin	Rv0005	505	D	A	Y	N
+Levofloxacin	Rv0005	510	N	D	Y	N
+Levofloxacin	Rv0005	510	N	T	Y	N
+Levofloxacin	Rv0005	510	Q	K	Y	N
+Levofloxacin	Rv0005	511	T	P	Y	N
+Levofloxacin	Rv0005	512	E	D	Y	N
+Levofloxacin	Rv0005	512	E	V	Y	N
+Levofloxacin	Rv0005	515	A	T	Y	N
+Levofloxacin	Rv0005	515	A	V	Y	N
+Levofloxacin	Rv0005	538	N	D	N	Y
+Levofloxacin	Rv0005	549	Q	H	Y	N
+Levofloxacin	Rv0006	74	A	S	Y	N
+Levofloxacin	Rv0006	80	T	A	Y	N
+Levofloxacin	Rv0006	88	G	A	Y	N
+Levofloxacin	Rv0006	89	D	N	Y	N
+Levofloxacin	Rv0006	90	A	G	Y	N
+Levofloxacin	Rv0006	90	A	V	Y	Y
+Levofloxacin	Rv0006	91	S	P	Y	Y
+Levofloxacin	Rv0006	94	D	A	Y	Y
+Levofloxacin	Rv0006	94	D	F	Y	N
+Levofloxacin	Rv0006	94	D	G	Y	Y
+Levofloxacin	Rv0006	94	D	H	Y	Y
+Levofloxacin	Rv0006	94	D	N	Y	Y
+Levofloxacin	Rv0006	94	D	V	Y	N
+Levofloxacin	Rv0006	94	D	Y	Y	Y
+Levofloxacin	Rv0006	95	S	T	Y	N
+Levofloxacin	Rv0006	102	P	H	Y	Y
+Levofloxacin	Rv0006	109	L	V	Y	N
+Levofloxacin	Rv0006	126	A	R	N	Y
+Moxifloxacin	Rv0005	457	R	C	Y	N
+Moxifloxacin	Rv0005	458	S	F	Y	N
+Moxifloxacin	Rv0005	472	D	A	Y	N
+Moxifloxacin	Rv0005	472	D	H	Y	N
+Moxifloxacin	Rv0005	472	D	N	Y	N
+Moxifloxacin	Rv0005	481	G	A	Y	N
+Moxifloxacin	Rv0005	505	D	A	Y	N
+Moxifloxacin	Rv0005	510	N	D	Y	N
+Moxifloxacin	Rv0005	510	N	T	Y	N
+Moxifloxacin	Rv0005	510	Q	K	Y	N
+Moxifloxacin	Rv0005	511	T	P	Y	N
+Moxifloxacin	Rv0005	512	E	D	Y	N
+Moxifloxacin	Rv0005	512	E	V	Y	N
+Moxifloxacin	Rv0005	515	A	T	Y	N
+Moxifloxacin	Rv0005	515	A	V	Y	N
+Moxifloxacin	Rv0005	538	N	D	N	Y
+Moxifloxacin	Rv0005	549	Q	H	Y	N
+Moxifloxacin	Rv0006	74	A	S	Y	N
+Moxifloxacin	Rv0006	80	T	A	Y	N
+Moxifloxacin	Rv0006	88	G	A	Y	N
+Moxifloxacin	Rv0006	89	D	N	Y	N
+Moxifloxacin	Rv0006	90	A	G	Y	N
+Moxifloxacin	Rv0006	90	A	V	Y	Y
+Moxifloxacin	Rv0006	91	S	P	Y	Y
+Moxifloxacin	Rv0006	94	D	A	Y	Y
+Moxifloxacin	Rv0006	94	D	F	Y	N
+Moxifloxacin	Rv0006	94	D	G	Y	Y
+Moxifloxacin	Rv0006	94	D	H	Y	Y
+Moxifloxacin	Rv0006	94	D	N	Y	Y
+Moxifloxacin	Rv0006	94	D	V	Y	N
+Moxifloxacin	Rv0006	94	D	Y	Y	Y
+Moxifloxacin	Rv0006	95	S	T	Y	N
+Moxifloxacin	Rv0006	102	P	H	Y	Y
+Moxifloxacin	Rv0006	109	L	V	Y	N
+Moxifloxacin	Rv0006	126	A	R	N	Y
+Ofloxacin	Rv0005	457	R	C	Y	N
+Ofloxacin	Rv0005	458	S	F	Y	N
+Ofloxacin	Rv0005	472	D	A	Y	N
+Ofloxacin	Rv0005	472	D	H	Y	N
+Ofloxacin	Rv0005	472	D	N	Y	N
+Ofloxacin	Rv0005	481	G	A	Y	N
+Ofloxacin	Rv0005	505	D	A	Y	N
+Ofloxacin	Rv0005	510	N	D	Y	N
+Ofloxacin	Rv0005	510	N	T	Y	N
+Ofloxacin	Rv0005	510	Q	K	Y	N
+Ofloxacin	Rv0005	511	T	P	Y	N
+Ofloxacin	Rv0005	512	E	D	Y	N
+Ofloxacin	Rv0005	512	E	V	Y	N
+Ofloxacin	Rv0005	515	A	T	Y	N
+Ofloxacin	Rv0005	515	A	V	Y	N
+Ofloxacin	Rv0005	538	N	D	N	Y
+Ofloxacin	Rv0005	549	Q	H	Y	N
+Ofloxacin	Rv0006	74	A	S	Y	N
+Ofloxacin	Rv0006	80	T	A	Y	N
+Ofloxacin	Rv0006	88	G	A	Y	N
+Ofloxacin	Rv0006	89	D	N	Y	N
+Ofloxacin	Rv0006	90	A	G	Y	N
+Ofloxacin	Rv0006	90	A	V	Y	Y
+Ofloxacin	Rv0006	91	S	P	Y	Y
+Ofloxacin	Rv0006	94	D	A	Y	Y
+Ofloxacin	Rv0006	94	D	F	Y	N
+Ofloxacin	Rv0006	94	D	G	Y	Y
+Ofloxacin	Rv0006	94	D	H	Y	Y
+Ofloxacin	Rv0006	94	D	N	Y	Y
+Ofloxacin	Rv0006	94	D	V	Y	N
+Ofloxacin	Rv0006	94	D	Y	Y	Y
+Ofloxacin	Rv0006	95	S	T	Y	N
+Ofloxacin	Rv0006	102	P	H	Y	Y
+Ofloxacin	Rv0006	109	L	V	Y	N
+Ofloxacin	Rv0006	126	A	R	N	Y
+Para-Aminosalisylic_acid	Rv2764c	202	T	A	Y	N
+Para-Aminosalisylic_acid	Rv2764c	222	R	G	Y	N
+Pyrazinamide	Rv2043c	-12	T	G	Y	N
+Pyrazinamide	Rv2043c	-11	A	C	Y	N
+Pyrazinamide	Rv2043c	-11	A	G	Y	Y
+Pyrazinamide	Rv2043c	-7	T	C	Y	N
+Pyrazinamide	Rv2043c	1	M	I	Y	N
+Pyrazinamide	Rv2043c	1	M	T	Y	N
+Pyrazinamide	Rv2043c	1	X	*	Y	N
+Pyrazinamide	Rv2043c	3	A	E	Y	N
+Pyrazinamide	Rv2043c	3	A	P	Y	N
+Pyrazinamide	Rv2043c	4	L	S	Y	N
+Pyrazinamide	Rv2043c	4	L	W	Y	N
+Pyrazinamide	Rv2043c	5	I	S	Y	N
+Pyrazinamide	Rv2043c	7	V	D	Y	N
+Pyrazinamide	Rv2043c	7	V	F	Y	N
+Pyrazinamide	Rv2043c	7	V	G	Y	Y
+Pyrazinamide	Rv2043c	7	V	I	Y	N
+Pyrazinamide	Rv2043c	8	D	E	Y	N
+Pyrazinamide	Rv2043c	8	D	G	Y	N
+Pyrazinamide	Rv2043c	8	D	Y	Y	N
+Pyrazinamide	Rv2043c	9	V	A	Y	N
+Pyrazinamide	Rv2043c	9	V	G	Y	N
+Pyrazinamide	Rv2043c	9	V	L	Y	N
+Pyrazinamide	Rv2043c	9	V	S	Y	N
+Pyrazinamide	Rv2043c	10	Q	*	Y	N
+Pyrazinamide	Rv2043c	10	Q	K	Y	N
+Pyrazinamide	Rv2043c	10	Q	P	Y	Y
+Pyrazinamide	Rv2043c	10	Q	R	Y	N
+Pyrazinamide	Rv2043c	10	X	*	Y	N
+Pyrazinamide	Rv2043c	12	D	A	Y	Y
+Pyrazinamide	Rv2043c	12	D	N	Y	N
+Pyrazinamide	Rv2043c	13	F	S	Y	N
+Pyrazinamide	Rv2043c	14	C	H	Y	N
+Pyrazinamide	Rv2043c	14	C	R	Y	Y
+Pyrazinamide	Rv2043c	14	C	Y	Y	N
+Pyrazinamide	Rv2043c	16	X	*	Y	N
+Pyrazinamide	Rv2043c	17	G	D	Y	Y
+Pyrazinamide	Rv2043c	17	G	V	Y	N
+Pyrazinamide	Rv2043c	17	X	*	Y	N
+Pyrazinamide	Rv2043c	19	L	P	Y	Y
+Pyrazinamide	Rv2043c	19	L	R	Y	N
+Pyrazinamide	Rv2043c	20	X	*	Y	N
+Pyrazinamide	Rv2043c	21	V	G	Y	Y
+Pyrazinamide	Rv2043c	22	X	*	Y	N
+Pyrazinamide	Rv2043c	23	G	V	Y	N
+Pyrazinamide	Rv2043c	24	X	*	Y	Y
+Pyrazinamide	Rv2043c	25	A	E	Y	N
+Pyrazinamide	Rv2043c	26	A	G	Y	N
+Pyrazinamide	Rv2043c	26	X	*	N	Y
+Pyrazinamide	Rv2043c	28	A	D	Y	N
+Pyrazinamide	Rv2043c	28	X	*	Y	N
+Pyrazinamide	Rv2043c	29	X	*	Y	N
+Pyrazinamide	Rv2043c	32	X	*	Y	N
+Pyrazinamide	Rv2043c	33	X	*	Y	N
+Pyrazinamide	Rv2043c	34	X	*	Y	N
+Pyrazinamide	Rv2043c	34	Y	S	Y	Y
+Pyrazinamide	Rv2043c	35	L	P	Y	N
+Pyrazinamide	Rv2043c	35	L	R	Y	Y
+Pyrazinamide	Rv2043c	35	X	*	Y	N
+Pyrazinamide	Rv2043c	37	E	*	Y	N
+Pyrazinamide	Rv2043c	41	Y	*	Y	Y
+Pyrazinamide	Rv2043c	41	Y	H	Y	N
+Pyrazinamide	Rv2043c	43	H	P	Y	N
+Pyrazinamide	Rv2043c	44	X	*	N	Y
+Pyrazinamide	Rv2043c	45	V	G	Y	N
+Pyrazinamide	Rv2043c	46	A	E	Y	N
+Pyrazinamide	Rv2043c	46	A	P	Y	N
+Pyrazinamide	Rv2043c	46	A	V	Y	Y
+Pyrazinamide	Rv2043c	46	X	*	Y	N
+Pyrazinamide	Rv2043c	47	T	A	Y	Y
+Pyrazinamide	Rv2043c	47	T	P	Y	N
+Pyrazinamide	Rv2043c	47	T	S	Y	N
+Pyrazinamide	Rv2043c	49	D	A	Y	N
+Pyrazinamide	Rv2043c	49	D	G	Y	N
+Pyrazinamide	Rv2043c	49	D	H	Y	N
+Pyrazinamide	Rv2043c	49	D	V	Y	N
+Pyrazinamide	Rv2043c	50	X	*	Y	N
+Pyrazinamide	Rv2043c	51	H	N	Y	N
+Pyrazinamide	Rv2043c	51	H	P	Y	Y
+Pyrazinamide	Rv2043c	51	H	Q	Y	N
+Pyrazinamide	Rv2043c	51	H	R	Y	Y
+Pyrazinamide	Rv2043c	51	H	Y	Y	N
+Pyrazinamide	Rv2043c	53	D	A	Y	N
+Pyrazinamide	Rv2043c	53	D	N	Y	N
+Pyrazinamide	Rv2043c	53	X	*	Y	N
+Pyrazinamide	Rv2043c	54	P	L	Y	N
+Pyrazinamide	Rv2043c	54	P	T	Y	Y
+Pyrazinamide	Rv2043c	54	X	*	Y	N
+Pyrazinamide	Rv2043c	57	H	D	Y	N
+Pyrazinamide	Rv2043c	57	H	L	Y	N
+Pyrazinamide	Rv2043c	57	H	P	Y	N
+Pyrazinamide	Rv2043c	57	H	Y	Y	Y
+Pyrazinamide	Rv2043c	58	F	L	Y	N
+Pyrazinamide	Rv2043c	58	X	*	Y	Y
+Pyrazinamide	Rv2043c	59	S	P	Y	N
+Pyrazinamide	Rv2043c	61	T	P	Y	N
+Pyrazinamide	Rv2043c	61	X	*	N	Y
+Pyrazinamide	Rv2043c	62	P	H	Y	N
+Pyrazinamide	Rv2043c	62	P	L	Y	N
+Pyrazinamide	Rv2043c	62	P	R	Y	N
+Pyrazinamide	Rv2043c	63	D	G	Y	Y
+Pyrazinamide	Rv2043c	63	D	H	Y	N
+Pyrazinamide	Rv2043c	64	X	*	Y	N
+Pyrazinamide	Rv2043c	64	Y	D	Y	N
+Pyrazinamide	Rv2043c	65	X	*	Y	N
+Pyrazinamide	Rv2043c	66	S	P	Y	Y
+Pyrazinamide	Rv2043c	67	S	P	Y	Y
+Pyrazinamide	Rv2043c	68	W	*	Y	N
+Pyrazinamide	Rv2043c	68	W	G	Y	Y
+Pyrazinamide	Rv2043c	68	W	L	Y	Y
+Pyrazinamide	Rv2043c	68	W	R	Y	Y
+Pyrazinamide	Rv2043c	68	W	S	Y	N
+Pyrazinamide	Rv2043c	69	P	L	Y	N
+Pyrazinamide	Rv2043c	69	P	R	Y	N
+Pyrazinamide	Rv2043c	71	H	D	Y	N
+Pyrazinamide	Rv2043c	71	H	E	Y	N
+Pyrazinamide	Rv2043c	71	H	R	Y	Y
+Pyrazinamide	Rv2043c	71	H	Y	Y	N
+Pyrazinamide	Rv2043c	71	X	*	Y	N
+Pyrazinamide	Rv2043c	72	C	R	Y	Y
+Pyrazinamide	Rv2043c	72	C	W	Y	N
+Pyrazinamide	Rv2043c	72	C	Y	Y	N
+Pyrazinamide	Rv2043c	72	X	*	Y	N
+Pyrazinamide	Rv2043c	73	X	*	Y	N
+Pyrazinamide	Rv2043c	74	X	*	Y	N
+Pyrazinamide	Rv2043c	75	M	T	Y	N
+Pyrazinamide	Rv2043c	76	T	I	Y	N
+Pyrazinamide	Rv2043c	76	T	P	Y	Y
+Pyrazinamide	Rv2043c	78	G	D	Y	N
+Pyrazinamide	Rv2043c	79	A	G	Y	N
+Pyrazinamide	Rv2043c	79	X	*	Y	N
+Pyrazinamide	Rv2043c	80	F	V	Y	N
+Pyrazinamide	Rv2043c	80	X	*	Y	N
+Pyrazinamide	Rv2043c	82	H	D	Y	N
+Pyrazinamide	Rv2043c	82	H	L	Y	N
+Pyrazinamide	Rv2043c	82	H	R	Y	Y
+Pyrazinamide	Rv2043c	82	H	Y	Y	N
+Pyrazinamide	Rv2043c	83	X	*	Y	N
+Pyrazinamide	Rv2043c	85	L	P	Y	Y
+Pyrazinamide	Rv2043c	85	L	R	Y	N
+Pyrazinamide	Rv2043c	87	T	M	Y	N
+Pyrazinamide	Rv2043c	88	S	*	Y	N
+Pyrazinamide	Rv2043c	90	I	S	Y	N
+Pyrazinamide	Rv2043c	94	F	P	Y	N
+Pyrazinamide	Rv2043c	94	X	*	Y	N
+Pyrazinamide	Rv2043c	95	X	*	Y	N
+Pyrazinamide	Rv2043c	95	Y	*	Y	N
+Pyrazinamide	Rv2043c	96	K	E	Y	N
+Pyrazinamide	Rv2043c	96	K	N	Y	Y
+Pyrazinamide	Rv2043c	96	K	Q	Y	N
+Pyrazinamide	Rv2043c	96	K	T	Y	N
+Pyrazinamide	Rv2043c	96	X	*	Y	N
+Pyrazinamide	Rv2043c	97	G	D	Y	N
+Pyrazinamide	Rv2043c	97	G	S	Y	Y
+Pyrazinamide	Rv2043c	99	Y	*	Y	Y
+Pyrazinamide	Rv2043c	100	X	*	Y	N
+Pyrazinamide	Rv2043c	102	A	T	Y	N
+Pyrazinamide	Rv2043c	102	A	V	Y	Y
+Pyrazinamide	Rv2043c	102	X	*	Y	N
+Pyrazinamide	Rv2043c	103	Y	*	Y	Y
+Pyrazinamide	Rv2043c	103	Y	C	Y	N
+Pyrazinamide	Rv2043c	103	Y	H	Y	N
+Pyrazinamide	Rv2043c	103	Y	S	Y	N
+Pyrazinamide	Rv2043c	104	S	R	Y	Y
+Pyrazinamide	Rv2043c	104	X	*	Y	N
+Pyrazinamide	Rv2043c	105	X	*	N	Y
+Pyrazinamide	Rv2043c	107	G	K	Y	N
+Pyrazinamide	Rv2043c	113	X	*	Y	N
+Pyrazinamide	Rv2043c	114	T	P	Y	Y
+Pyrazinamide	Rv2043c	114	X	*	Y	N
+Pyrazinamide	Rv2043c	116	L	R	Y	Y
+Pyrazinamide	Rv2043c	116	L	V	Y	N
+Pyrazinamide	Rv2043c	118	N	T	Y	N
+Pyrazinamide	Rv2043c	119	W	*	Y	N
+Pyrazinamide	Rv2043c	119	W	C	Y	N
+Pyrazinamide	Rv2043c	119	W	R	Y	N
+Pyrazinamide	Rv2043c	120	L	P	Y	N
+Pyrazinamide	Rv2043c	121	R	P	Y	Y
+Pyrazinamide	Rv2043c	122	X	*	Y	N
+Pyrazinamide	Rv2043c	123	X	*	Y	N
+Pyrazinamide	Rv2043c	125	V	D	Y	N
+Pyrazinamide	Rv2043c	125	V	G	Y	N
+Pyrazinamide	Rv2043c	126	X	*	Y	N
+Pyrazinamide	Rv2043c	127	X	*	Y	N
+Pyrazinamide	Rv2043c	128	V	G	Y	Y
+Pyrazinamide	Rv2043c	128	X	*	Y	N
+Pyrazinamide	Rv2043c	129	X	*	Y	N
+Pyrazinamide	Rv2043c	129	X	E	Y	N
+Pyrazinamide	Rv2043c	129	X	R	Y	N
+Pyrazinamide	Rv2043c	130	V	G	Y	Y
+Pyrazinamide	Rv2043c	130	X	*	Y	Y
+Pyrazinamide	Rv2043c	131	X	*	Y	N
+Pyrazinamide	Rv2043c	132	G	D	Y	N
+Pyrazinamide	Rv2043c	132	G	S	Y	N
+Pyrazinamide	Rv2043c	132	X	*	Y	N
+Pyrazinamide	Rv2043c	133	I	N	Y	N
+Pyrazinamide	Rv2043c	133	I	T	Y	N
+Pyrazinamide	Rv2043c	134	A	V	Y	Y
+Pyrazinamide	Rv2043c	134	X	*	Y	N
+Pyrazinamide	Rv2043c	135	T	P	Y	N
+Pyrazinamide	Rv2043c	135	X	*	Y	N
+Pyrazinamide	Rv2043c	136	D	G	Y	N
+Pyrazinamide	Rv2043c	136	D	H	Y	N
+Pyrazinamide	Rv2043c	136	D	N	Y	N
+Pyrazinamide	Rv2043c	136	D	Y	Y	N
+Pyrazinamide	Rv2043c	136	X	*	Y	N
+Pyrazinamide	Rv2043c	137	H	P	Y	N
+Pyrazinamide	Rv2043c	137	H	R	Y	Y
+Pyrazinamide	Rv2043c	138	C	S	Y	N
+Pyrazinamide	Rv2043c	138	C	Y	Y	Y
+Pyrazinamide	Rv2043c	138	X	*	Y	N
+Pyrazinamide	Rv2043c	139	V	A	Y	Y
+Pyrazinamide	Rv2043c	139	V	G	Y	N
+Pyrazinamide	Rv2043c	139	V	L	Y	Y
+Pyrazinamide	Rv2043c	139	V	M	Y	Y
+Pyrazinamide	Rv2043c	139	X	*	Y	N
+Pyrazinamide	Rv2043c	140	R	S	Y	Y
+Pyrazinamide	Rv2043c	140	X	*	Y	N
+Pyrazinamide	Rv2043c	141	Q	*	Y	N
+Pyrazinamide	Rv2043c	141	Q	P	Y	Y
+Pyrazinamide	Rv2043c	142	T	A	Y	N
+Pyrazinamide	Rv2043c	142	T	K	Y	Y
+Pyrazinamide	Rv2043c	142	T	M	Y	N
+Pyrazinamide	Rv2043c	142	T	P	Y	N
+Pyrazinamide	Rv2043c	142	X	*	Y	N
+Pyrazinamide	Rv2043c	143	X	*	Y	N
+Pyrazinamide	Rv2043c	145	X	*	Y	N
+Pyrazinamide	Rv2043c	146	A	T	Y	N
+Pyrazinamide	Rv2043c	146	A	V	Y	N
+Pyrazinamide	Rv2043c	147	X	*	Y	N
+Pyrazinamide	Rv2043c	148	R	S	Y	N
+Pyrazinamide	Rv2043c	148	X	*	Y	N
+Pyrazinamide	Rv2043c	149	X	*	Y	Y
+Pyrazinamide	Rv2043c	150	X	*	Y	N
+Pyrazinamide	Rv2043c	151	X	*	Y	N
+Pyrazinamide	Rv2043c	153	T	N	Y	N
+Pyrazinamide	Rv2043c	154	R	G	Y	N
+Pyrazinamide	Rv2043c	155	V	A	Y	N
+Pyrazinamide	Rv2043c	155	V	G	Y	Y
+Pyrazinamide	Rv2043c	155	X	*	Y	N
+Pyrazinamide	Rv2043c	158	X	*	Y	N
+Pyrazinamide	Rv2043c	159	L	P	Y	Y
+Pyrazinamide	Rv2043c	159	L	R	Y	N
+Pyrazinamide	Rv2043c	160	T	P	Y	Y
+Pyrazinamide	Rv2043c	160	X	*	Y	N
+Pyrazinamide	Rv2043c	161	A	P	Y	Y
+Pyrazinamide	Rv2043c	162	G	D	Y	Y
+Pyrazinamide	Rv2043c	167	X	*	Y	N
+Pyrazinamide	Rv2043c	168	T	N	Y	N
+Pyrazinamide	Rv2043c	170	X	*	Y	N
+Pyrazinamide	Rv2043c	171	A	E	Y	Y
+Pyrazinamide	Rv2043c	171	A	P	Y	N
+Pyrazinamide	Rv2043c	171	A	T	Y	N
+Pyrazinamide	Rv2043c	171	A	V	Y	N
+Pyrazinamide	Rv2043c	171	X	*	Y	N
+Pyrazinamide	Rv2043c	172	L	A	Y	N
+Pyrazinamide	Rv2043c	172	L	P	Y	Y
+Pyrazinamide	Rv2043c	172	X	*	Y	N
+Pyrazinamide	Rv2043c	173	X	*	Y	N
+Pyrazinamide	Rv2043c	175	M	V	Y	N
+Pyrazinamide	Rv2043c	177	X	*	Y	N
+Pyrazinamide	Rv2043c	179	S	R	Y	N
+Pyrazinamide	Rv2043c	180	V	F	Y	N
+Pyrazinamide	Rv2043c	181	E	D	Y	N
+Pyrazinamide	Rv2043c	182	L	S	Y	N
+Pyrazinamide	Rv2043c	185	S	I	Y	N
+Pyrazinamide	Rv2043c	185	S	T	Y	Y
+Rifampicin	Rv0667	65	V	F	Y	N
+Rifampicin	Rv0667	300	A	V	Y	N
+Rifampicin	Rv0667	409	Q	H	Y	N
+Rifampicin	Rv0667	423	E	A	Y	N
+Rifampicin	Rv0667	424	F	L	Y	N
+Rifampicin	Rv0667	424	F	S	Y	N
+Rifampicin	Rv0667	426	G	D	Y	N
+Rifampicin	Rv0667	426	G	S	Y	N
+Rifampicin	Rv0667	426	X	G	Y	N
+Rifampicin	Rv0667	427	T	A	Y	N
+Rifampicin	Rv0667	427	T	H	Y	N
+Rifampicin	Rv0667	427	T	P	Y	N
+Rifampicin	Rv0667	427	T	S	Y	N
+Rifampicin	Rv0667	428	S	Q	Y	N
+Rifampicin	Rv0667	428	S	R	Y	N
+Rifampicin	Rv0667	428	S	T	Y	N
+Rifampicin	Rv0667	429	Q	H	Y	N
+Rifampicin	Rv0667	429	Q	K	Y	N
+Rifampicin	Rv0667	430	L	P	Y	N
+Rifampicin	Rv0667	430	L	R	Y	N
+Rifampicin	Rv0667	430	L	V	Y	N
+Rifampicin	Rv0667	431	S	G	Y	N
+Rifampicin	Rv0667	431	S	I	Y	N
+Rifampicin	Rv0667	431	S	R	Y	N
+Rifampicin	Rv0667	431	S	T	Y	N
+Rifampicin	Rv0667	432	G	N	Y	N
+Rifampicin	Rv0667	432	Q	*	Y	N
+Rifampicin	Rv0667	432	Q	E	Y	N
+Rifampicin	Rv0667	432	Q	H	Y	N
+Rifampicin	Rv0667	432	Q	K	Y	N
+Rifampicin	Rv0667	432	Q	L	Y	Y
+Rifampicin	Rv0667	432	Q	P	Y	N
+Rifampicin	Rv0667	432	Q	R	Y	N
+Rifampicin	Rv0667	432	X	F	Y	N
+Rifampicin	Rv0667	432	X	Q	Y	N
+Rifampicin	Rv0667	433	F	L	Y	N
+Rifampicin	Rv0667	433	F	V	Y	N
+Rifampicin	Rv0667	433	X	F	Y	N
+Rifampicin	Rv0667	433	X	R	Y	N
+Rifampicin	Rv0667	434	M	I	Y	N
+Rifampicin	Rv0667	434	X	F	Y	N
+Rifampicin	Rv0667	434	X	M	Y	N
+Rifampicin	Rv0667	435	D	A	Y	N
+Rifampicin	Rv0667	435	D	E	Y	N
+Rifampicin	Rv0667	435	D	F	Y	N
+Rifampicin	Rv0667	435	D	G	Y	N
+Rifampicin	Rv0667	435	D	H	Y	N
+Rifampicin	Rv0667	435	D	N	Y	N
+Rifampicin	Rv0667	435	D	V	Y	Y
+Rifampicin	Rv0667	435	D	Y	Y	Y
+Rifampicin	Rv0667	435	X	D	Y	N
+Rifampicin	Rv0667	436	Q	H	Y	N
+Rifampicin	Rv0667	436	Q	L	Y	N
+Rifampicin	Rv0667	436	X	Q	Y	N
+Rifampicin	Rv0667	437	N	D	Y	N
+Rifampicin	Rv0667	437	N	H	Y	N
+Rifampicin	Rv0667	437	N	I	Y	N
+Rifampicin	Rv0667	437	N	T	Y	N
+Rifampicin	Rv0667	437	N	Y	Y	N
+Rifampicin	Rv0667	438	N	K	Y	N
+Rifampicin	Rv0667	438	X	N	Y	N
+Rifampicin	Rv0667	440	L	L	Y	N
+Rifampicin	Rv0667	440	L	M	Y	N
+Rifampicin	Rv0667	440	L	P	Y	N
+Rifampicin	Rv0667	441	S	L	Y	Y
+Rifampicin	Rv0667	441	S	W	Y	N
+Rifampicin	Rv0667	442	G	A	Y	N
+Rifampicin	Rv0667	442	G	W	Y	N
+Rifampicin	Rv0667	443	L	S	Y	N
+Rifampicin	Rv0667	443	L	W	Y	N
+Rifampicin	Rv0667	444	T	I	Y	N
+Rifampicin	Rv0667	444	T	P	Y	N
+Rifampicin	Rv0667	445	H	C	Y	N
+Rifampicin	Rv0667	445	H	D	Y	Y
+Rifampicin	Rv0667	445	H	F	Y	N
+Rifampicin	Rv0667	445	H	G	Y	N
+Rifampicin	Rv0667	445	H	L	Y	Y
+Rifampicin	Rv0667	445	H	N	Y	Y
+Rifampicin	Rv0667	445	H	P	Y	N
+Rifampicin	Rv0667	445	H	Q	Y	N
+Rifampicin	Rv0667	445	H	R	Y	Y
+Rifampicin	Rv0667	445	H	S	Y	N
+Rifampicin	Rv0667	445	H	T	Y	N
+Rifampicin	Rv0667	445	H	Y	Y	Y
+Rifampicin	Rv0667	446	K	N	Y	N
+Rifampicin	Rv0667	446	K	Q	Y	N
+Rifampicin	Rv0667	446	X	K	Y	N
+Rifampicin	Rv0667	447	R	H	Y	N
+Rifampicin	Rv0667	447	R	P	Y	N
+Rifampicin	Rv0667	450	S	C	Y	N
+Rifampicin	Rv0667	450	S	F	Y	N
+Rifampicin	Rv0667	450	S	L	Y	Y
+Rifampicin	Rv0667	450	S	Q	Y	N
+Rifampicin	Rv0667	450	S	W	Y	Y
+Rifampicin	Rv0667	450	S	Y	Y	N
+Rifampicin	Rv0667	452	L	P	Y	Y
+Rifampicin	Rv0667	454	P	H	Y	N
+Rifampicin	Rv0667	454	P	S	Y	N
+Rifampicin	Rv0667	457	L	*	Y	N
+Rifampicin	Rv0667	457	L	P	Y	N
+Rifampicin	Rv0667	460	E	G	Y	N
+Rifampicin	Rv0667	464	L	M	Y	N
+Rifampicin	Rv0667	472	S	A	Y	N
+Rifampicin	Rv0667	480	I	T	Y	N
+Rifampicin	Rv0667	480	I	V	Y	N
+Rifampicin	Rv0667	490	L	V	Y	N
+Rifampicin	Rv0667	541	S	A	Y	N
+Rifampicin	Rv0667	552	R	C	Y	N
+Rifampicin	Rv0667	591	E	D	Y	N
+Streptomycin	Rv0682	9	R	H	Y	N
+Streptomycin	Rv0682	40	T	I	Y	N
+Streptomycin	Rv0682	41	T	S	Y	N
+Streptomycin	Rv0682	43	K	R	Y	Y
+Streptomycin	Rv0682	43	K	T	Y	N
+Streptomycin	Rv0682	51	K	N	Y	N
+Streptomycin	Rv0682	52	V	G	Y	N
+Streptomycin	Rv0682	84	G	V	Y	N
+Streptomycin	Rv0682	86	R	P	Y	N
+Streptomycin	Rv0682	86	R	W	Y	N
+Streptomycin	Rv0682	87	V	L	Y	N
+Streptomycin	Rv0682	88	K	M	Y	N
+Streptomycin	Rv0682	88	K	Q	Y	Y
+Streptomycin	Rv0682	88	K	R	Y	Y
+Streptomycin	Rv0682	88	K	T	Y	N
+Streptomycin	Rv0682	93	V	M	Y	N
+Streptomycin	Rv3919c	16	L	R	Y	N
+Streptomycin	Rv3919c	34	X	*	Y	N
+Streptomycin	Rv3919c	39	X	*	Y	N
+Streptomycin	Rv3919c	40	E	*	Y	N
+Streptomycin	Rv3919c	45	W	C	Y	N
+Streptomycin	Rv3919c	47	R	Q	Y	N
+Streptomycin	Rv3919c	55	I	S	Y	N
+Streptomycin	Rv3919c	67	D	H	Y	N
+Streptomycin	Rv3919c	70	S	R	Y	N
+Streptomycin	Rv3919c	71	G	V	Y	N
+Streptomycin	Rv3919c	75	P	A	Y	N
+Streptomycin	Rv3919c	92	E	D	Y	N
+Streptomycin	Rv3919c	103	E	*	Y	N
+Streptomycin	Rv3919c	117	X	*	Y	N
+Streptomycin	Rv3919c	125	Q	*	Y	N
+Streptomycin	Rv3919c	127	Q	P	Y	N
+Streptomycin	Rv3919c	134	A	E	Y	N
+Streptomycin	Rv3919c	138	A	E	Y	N
+Streptomycin	Rv3919c	148	W	R	Y	N
+Streptomycin	Rv3919c	183	A	E	Y	N
+Streptomycin	Rv3919c	188	V	G	Y	N
+Streptomycin	Rv3919c	200	A	E	Y	N
+Streptomycin	Rvnr01	190	G	A	Y	N
+Streptomycin	Rvnr01	427	G	C	Y	N
+Streptomycin	Rvnr01	427	G	T	Y	N
+Streptomycin	Rvnr01	462	C	T	Y	N
+Streptomycin	Rvnr01	492	C	T	Y	Y
+Streptomycin	Rvnr01	513	C	T	Y	Y
+Streptomycin	Rvnr01	514	A	C	Y	Y
+Streptomycin	Rvnr01	514	A	T	Y	Y
+Streptomycin	Rvnr01	517	C	T	Y	Y
+Streptomycin	Rvnr01	628	G	C	Y	N
+Streptomycin	Rvnr01	799	C	T	Y	N
+Streptomycin	Rvnr01	866	C	G	Y	N
+Streptomycin	Rvnr01	888	G	A	Y	N
+Streptomycin	Rvnr01	905	C	A	Y	N
+Streptomycin	Rvnr01	905	C	G	Y	N
+Streptomycin	Rvnr01	906	A	G	Y	N
+Streptomycin	Rvnr01	907	A	C	Y	Y
+Streptomycin	Rvnr01	907	A	T	Y	N
+Streptomycin	Rvnr01	908	A	G	Y	N
+Streptomycin	Rvnr01	1239	T	C	Y	N
+Streptomycin	Rvnr01	1401	A	G	Y	N
diff --git a/other/tbdr/strain_profiles_ord.txt b/other/tbdr/strain_profiles_ord.txt
new file mode 100644
index 0000000..8c73f48
--- /dev/null
+++ b/other/tbdr/strain_profiles_ord.txt
@@ -0,0 +1,1398 @@
+GTBDR00860
+GTBDR00344
+GTBDR02448
+GTBDR02511
+GTBDR02496
+GTBDR02355
+GTBDR02495
+GTBDR00348
+GTBDR02268
+GTBDR00264
+GTBDR01912
+GTBDR01738
+GTBDR01913
+GTBDR01793
+GTBDR01830
+GTBDR02011
+GTBDR00787
+GTBDR02442
+GTBDR02392
+GTBDR02331
+GTBDR01102
+GTBDR00601
+GTBDR00781
+GTBDR00244
+GTBDR01785
+GTBDR01345
+GTBDR00776
+GTBDR00343
+GTBDR01780
+GTBDR02579
+GTBDR02043
+GTBDR02082
+GTBDR01142
+GTBDR01108
+GTBDR02362
+GTBDR00835
+GTBDR00731
+GTBDR02410
+GTBDR01993
+GTBDR02018
+GTBDR02020
+GTBDR01063
+GTBDR00779
+GTBDR01380
+GTBDR00355
+GTBDR00313
+GTBDR02338
+GTBDR00351
+GTBDR01965
+GTBDR02516
+GTBDR00724
+GTBDR01731
+GTBDR02093
+GTBDR00105
+GTBDR00426
+GTBDR02014
+GTBDR00858
+GTBDR00212
+GTBDR02584
+GTBDR01851
+GTBDR01848
+GTBDR01837
+GTBDR00415
+GTBDR02303
+GTBDR00798
+GTBDR00138
+GTBDR01790
+GTBDR01724
+GTBDR01730
+GTBDR01750
+GTBDR02071
+GTBDR02217
+GTBDR02210
+GTBDR01136
+GTBDR01100
+GTBDR02068
+GTBDR01973
+GTBDR00249
+GTBDR00246
+GTBDR02525
+GTBDR00405
+GTBDR00333
+GTBDR00799
+GTBDR01741
+GTBDR02406
+GTBDR02474
+GTBDR00768
+GTBDR00747
+GTBDR01043
+GTBDR01029
+GTBDR00214
+GTBDR01184
+GTBDR01803
+GTBDR01802
+GTBDR01806
+GTBDR01751
+GTBDR01995
+GTBDR00460
+GTBDR00221
+GTBDR02416
+GTBDR02340
+GTBDR02415
+GTBDR00206
+GTBDR02049
+GTBDR00243
+GTBDR00157
+GTBDR19455
+GTBDR01931
+GTBDR01776
+GTBDR00175
+GTBDR00118
+GTBDR11798
+GTBDR00145
+GTBDR01840
+GTBDR01725
+GTBDR02359
+GTBDR00773
+GTBDR02487
+GTBDR02475
+GTBDR02207
+GTBDR00357
+GTBDR02462
+GTBDR01200
+GTBDR00604
+GTBDR00783
+GTBDR01347
+GTBDR02417
+GTBDR02019
+GTBDR02007
+GTBDR01998
+GTBDR01992
+GTBDR01828
+GTBDR01744
+GTBDR00356
+GTBDR00300
+GTBDR00205
+GTBDR02291
+GTBDR02375
+GTBDR02033
+GTBDR00337
+GTBDR00161
+GTBDR01786
+GTBDR02077
+GTBDR02034
+GTBDR02094
+GTBDR02026
+GTBDR01960
+GTBDR01708
+GTBDR01628
+GTBDR01807
+GTBDR00797
+GTBDR01381
+GTBDR01052
+GTBDR02463
+GTBDR02404
+GTBDR02590
+GTBDR01967
+GTBDR01956
+GTBDR01733
+GTBDR01972
+GTBDR00856
+GTBDR01970
+GTBDR01969
+GTBDR01958
+GTBDR01951
+GTBDR01921
+GTBDR01916
+GTBDR02039
+GTBDR01957
+GTBDR02119
+GTBDR01799
+GTBDR01924
+GTBDR01823
+GTBDR02515
+GTBDR02443
+GTBDR02258
+GTBDR02257
+GTBDR02090
+GTBDR00757
+GTBDR00345
+GTBDR01133
+GTBDR01047
+GTBDR01014
+GTBDR01012
+GTBDR02401
+GTBDR02479
+GTBDR19458
+GTBDR19457
+GTBDR02597
+GTBDR02319
+GTBDR00199
+GTBDR01767
+GTBDR01747
+GTBDR01722
+GTBDR02453
+GTBDR00816
+GTBDR02492
+GTBDR01280
+GTBDR02230
+GTBDR00735
+GTBDR01307
+GTBDR00841
+GTBDR00734
+GTBDR00347
+GTBDR02070
+GTBDR01854
+GTBDR02290
+GTBDR00817
+GTBDR01231
+GTBDR01217
+GTBDR01159
+GTBDR01130
+GTBDR01006
+GTBDR02348
+GTBDR02278
+GTBDR01804
+GTBDR01598
+GTBDR01105
+GTBDR01375
+GTBDR01018
+GTBDR02367
+GTBDR02329
+GTBDR02430
+GTBDR00745
+GTBDR00728
+GTBDR02314
+GTBDR00602
+GTBDR00761
+GTBDR01774
+GTBDR01938
+GTBDR01907
+GTBDR00718
+GTBDR00248
+GTBDR02272
+GTBDR00136
+GTBDR00861
+GTBDR00102
+GTBDR00262
+GTBDR01834
+GTBDR01983
+GTBDR01941
+GTBDR01815
+GTBDR01713
+GTBDR00782
+GTBDR01282
+GTBDR00715
+GTBDR01757
+GTBDR00260
+GTBDR01371
+GTBDR00238
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+GTBDR01727
+GTBDR00113
+GTBDR00111
+GTBDR02341
+GTBDR02323
+GTBDR00706
+GTBDR00612
+GTBDR01387
+GTBDR01248
+GTBDR02426
+GTBDR02395
+GTBDR02381
+GTBDR02330
+GTBDR02316
+GTBDR02363
+GTBDR01091
+GTBDR01088
+GTBDR02327
+GTBDR02296
+GTBDR02072
+GTBDR02030
+GTBDR02473
+GTBDR00780
+GTBDR02305
+GTBDR02345
+GTBDR02266
+GTBDR00765
+GTBDR00331
+GTBDR21931
+GTBDR02521
+GTBDR02269
+GTBDR02117
+GTBDR02114
+GTBDR02112
+GTBDR02110
+GTBDR02109
+GTBDR02105
+GTBDR02103
+GTBDR02102
+GTBDR02087
+GTBDR02081
+GTBDR02080
+GTBDR02065
+GTBDR02063
+GTBDR02042
+GTBDR02038
+GTBDR02025
+GTBDR01963
+GTBDR01856
+GTBDR01831
+GTBDR01808
+GTBDR01753
+GTBDR01707
+GTBDR01616
+GTBDR01245
+GTBDR00714
+GTBDR00452
+GTBDR00310
+GTBDR21933
+GTBDR15104
+GTBDR21925
+GTBDR15093
+GTBDR01625
+GTBDR01626
+GTBDR01547
+GTBDR01546
+GTBDR01527
+GTBDR01525
+GTBDR01515
+GTBDR01631
+GTBDR01548
+GTBDR01540
+GTBDR01538
+GTBDR01537
+GTBDR01535
+GTBDR01533
+GTBDR01531
+GTBDR01523
+GTBDR01522
+GTBDR01520
+GTBDR01518
+GTBDR01516
+GTBDR01514
+GTBDR01512
+GTBDR01511
+GTBDR01508
+GTBDR01507
+GTBDR01506
+GTBDR01505
+GTBDR01502
+GTBDR01501
+GTBDR02518
+GTBDR02390
+GTBDR02460
+GTBDR02437
+GTBDR02253
+GTBDR02239
+GTBDR01090
+GTBDR01089
+GTBDR01083
+GTBDR01069
+GTBDR00738
+GTBDR21922
+GTBDR15107
+GTBDR01632
+GTBDR01629
+GTBDR01630
+GTBDR01622
+GTBDR01613
+GTBDR01610
+GTBDR01608
+GTBDR01545
+GTBDR01541
+GTBDR01519
+GTBDR01504
+GTBDR01503
+GTBDR02264
+GTBDR01085
+GTBDR02351
+GTBDR02347
+GTBDR01106
+GTBDR01097
+GTBDR01271
+GTBDR01257
+GTBDR01140
diff --git a/other/tbdr/tbdr_all.txt b/other/tbdr/tbdr_all.txt
new file mode 100644
index 0000000..743e40c
--- /dev/null
+++ b/other/tbdr/tbdr_all.txt
@@ -0,0 +1,1630 @@
+AMINOGLYCOSIDES [AMI] (KANAMYCIN/CAPREOMYCIN/AMIKACIN/VIOMYCIN)																																																																																																																																																																																																		
+																																																																																																																																																																																																		
+	rrs																																																																																																																																																																																																	
+Drug	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	Resistant isolates/Total isolates tested for mutation	Resistant/Sensitive isolates with mutation	Additional mutations																																																																																																																																																																																	
+AMI	rrs	Maus CE AAC 2005 Aug	1401	A/G		rRNA gene	Published 2005	"M.tb laboratory strains used for in-vitro selection of mutants; clinical isolates obtained from CDC. N=16"	USA	Sequencing	Whole gene	KAmiCap	K >80ug/ml, Ami >64ug/ml, CAP 20-80ug/ml	N.S.	16/16	11/0	"9 isolates had no additional mutaitons; one had a mutation at rrs A514C; and one had a mutation at rrs A514C and T1239C."																																																																																																											 [...]
+AMI	rrs	Sander P MolMicro 1996	1401	A/G		rRNA gene	Published 1996	8 Kanamycin and amikacin resistant Mtb isolates	N.S.	Sequencing	N.S	Kami	N.S.	N.S.	08-aug	8/0	none																																																																																																																																																																																	
+AMI	rrs	Suzuki Y JCM 1998	1402 (1401 in ref)	C/T		rRNA gene	Published 1998	K-S (n=71) isolates, K-R (n=43) isolates, and 4 laboratory strains of M.Tb. Total N=118	Japan	Sequencing	300 bp containing the 3' one-fifth of the rrs gene	K	K >100ug/ml	Proportion method	43/118	1/0	None found in gene analyzed.																																																																																																																																																																																	
+AMI	rrs	Suzuki Y JCM 1998	1402 (1401 in ref)	C/A		rRNA gene	Published 1998	K-S (n=71) isolates, K-R (n=43) isolates, and 4 laboratory strains of M.Tb. Total N=118	Japan	Sequencing	300 bp containing the 3' one-fifth of the rrs gene	K	K >100ug/ml	Proportion method	43/118	2/0	Both isolates also mutated at rrs G1484T.																																																																																																																																																																																	
+AMI	rrs	Taniguchi H JB 1997	1408 (1400 in ref)	A/G		rRNA gene	Published 1997	"Kamycin- and viomycin-resistant M.smegmatis isolated from standard strains in the laboratory (n=15); MDR-M.tb clinical isolates (N=10), out of which 4 were K-R."	Japan	Sequencing	nt 431 to the 3' end	RSEKVio	K >200ug/ml	N.S.	39913	3/0	"Lys43Arg mutation in S12 protein in one isolate; Lys88Gln mutation in S12 protein in second isolate."																																																																													 [...]
+AMI	rrs	Suzuki Y JCM 1998	1484 (1483 in ref)	G/T		rRNA gene	Published 1998	K-S (n=71) isolates, K-R (n=43) isolates, and 4 laboratory strains of M.Tb. Total N=118	Japan	Sequencing	300 bp containing the 3' one-fifth of the rrs gene	K	K >100ug/ml	Proportion method	43/118	2/0	Both isolates also mutated at rrs C1402A.																																																																																																																																																																																	
+																																																																																																																																																																																																		
+																																																																																																																																																																																																		
+	tlyA (Rv1694)																																																																																																																																																																																																	
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	7	CGA/TGA	3	Arg/STOP	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap Vio	Cap 40ug/ml, Vio 20ug/ml	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	26	del C		Frameshift	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	N.S.	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005 Feb	40	CGG/TGG	14	Arg/Trp	Published 2005	"Mutagenized M.smeg; also M.tb strains H37Rv, CDC1551, Beijing F2, and 18 clinical isolates obtained from CDC. N=18"	USA	Sequencing	Whole gene	HRESEthKCapVioAmi	K >80ug/ml	Proportion method	16/18	1/0	Also mutated at rrs A1401G.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	52	CGA/TGA	18	Arg/STOP	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	N.S.	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	64	CAG/TAG	22	Gln/STOP	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	Cap 40ug/ml, Vio <10ug/ml	Proportion method	30/30	3/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	23	del A		Frameshift	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	RESKCapVio Ami	Cap 80ug/ml	Proportion method	18/18	1/0	None found in region analyzed.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005 Feb	67-69	del GCC	23	del A	Published 2005	"Mutagenized M.smeg; also M.tb strains H37Rv, CDC1551, Beijing F2, and 18 clinical isolates obtained from CDC. N=18"	USA	Sequencing	Whole gene	HRESKCapVioAmi	K 20ug/ml	Proportion method	16/18	1/0	None found in region analyzed.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	200	GCG/GAG	67	Ala/Glu	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	N.S.	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	205	AAA/GAA	69	Lys/Glu	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	N.S.	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	218	ins C		Frameshift	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	HRESKCapVioAmi	Cap 80ug/ml	Proportion method	18/18	1/0	None found in region analyzed.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	272	GCA/GAA	91	Ala/Glu	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	Cap 40ug.ml, Vio <10ug/ml	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	310	del G		Frameshift	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	N.S.	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	353	CTG/CCG	118	Leu/Pro	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	CapVio	Cap 40ug/ml, Vio 40ug/ml	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	383	GTG/GAG	128	Val/Glu	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	N.S.	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	397	ins C		Frameshift	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	CapVio	Cap 40ug/ml, Vio 20ug/ml	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	400	del A		Frameshift	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	N.S.	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005 Feb	449	CTG/CCG	150	Leu/Pro	Published 2005	"Mutagenized M.smeg; also M.tb strains H37Rv, CDC1551, Beijing F2, and 18 clinical isolates obtained from CDC. N=18"	USA	Sequencing	Whole gene	HRSCap	K <5ug/ml Cap 40ug/ml	Proportion method	16/18	0/1	None found in region analyzed.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	477	del G		Frameshift	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	Cap 40ug/ml, Vio <10ug/ml	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	548	C/T	183	Pro/Leu	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	CapVio	Cap 40ug/ml, Vio 20ug/ml	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	550	C/T	184	Gln/STOP	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	Cap 40ug/ml, Vio <10ug/ml	Proportion method	30/30	5/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	555	T/G	185	Phe/Leu	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	N.S.	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	586	del G		Frameshift	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	CapVio	Cap 40ug/ml, Vio 20ug/ml	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	653	del T		Frameshift	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	N.S.	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005 Feb		ins C	218	Frameshift	Published 2005	"Mutagenized M.smeg; also M.tb strains H37Rv, CDC1551, Beijing F2, and 18 clinical isolates obtained from CDC. N=18"	USA	Sequencing	Whole gene	HRESKCapVioAmI	K 20ug/ml	Proportion method	16/18	1/0	None found in region analyzed.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	673-674	del GT		Frameshift	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	N.S.	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005 Feb	708	AAT/AAG	236	Asn/Lys	Published 2005	"Mutagenized M.smeg; also M.tb strains H37Rv, CDC1551, Beijing F2, and 18 clinical isolates obtained from CDC. N=18"	USA	Sequencing	Whole gene	HSCapVio	K <5ug/ml Cap 80ug/ml	Proportion method	16/18	0/1	None found in region analyzed.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	712	G/A	238	Glu/Lys	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	N.S.	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	758	del C		Frameshift	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	CapVio	Cap 40ug/ml, Vio 20ug/ml	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+
+ETHAMBUTOL [EMB]																																																																																																																																																																																																		
+																																																																																																																																																																																																		
+																																																																																																																																																																																																		
+	embC: arabinosyltransferase gene																																																																																																																																																																																																	
+Drug	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	Resistant isolates/Total isolates tested for mutation	Resistant/Sensitive isolates with mutation	Additional mutations																																																																																																																																																																																	
+EMB	embC	Sreevatsan S AAC 1997	13	GGT/AGT	5	Gly/Ser	Published 1997	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=118"	USA, Mexico, Europe, Yemen, the Philippines, Japan, India	PCR-SSCP, Sequencing	Whole gene	E	N.S.	BACTEC 460	16/19	1/0	
+EMB	embC	Srivastava S JMM 2009	730-732	GCG/ACC	244	Ala/Thr	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	E	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB E368A, S380R, P397Q, R460C; embC G288W, V303G; embR L172R"
+EMB	embC	Srivastava S JMM 2009	739-741	GCC/CCG	247	Ala/Pro	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EH	8ug/ml	Proportion method, E-Test	44/44	1/0	"embB A356F, A357V, L359I, E378A, A379D, Y384N, A388G, N399D; embC T270I, I297T"
+EMB	embC	Srivastava S CurrMicro 2006	752	CTG/CGT	251	Leu/Arg	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	12ug/ml	Proportion method, E-Test	23/23	1/0	Ala254Gly and Thr270Ile in embC. R/Tot and R/S calculated from Table 1.
+EMB	embC	Srivastava S CurrMicro 2006	761	GCC/GGC	254	Ala/Gly	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	12ug/ml	Proportion method, E-Test	23/23	1/0	Leu251Arg and Thr270Ile in embC. R/Tot and R/S calculated from Table 1.
+EMB	embC	Sreevatsan S AAC 1997	809	ACC/ATC	270	Thr/Ile	Published 1997	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=118"	USA, Mexico, Europe, Yemen, the Philippines, Japan, India	PCR-SSCP, Sequencing	Whole gene	E	N.S.	BACTEC 460, agar diffusion method	16/19	1/0	Met306Val in embB.
+EMB	embC	Srivastava S JMM 2009	809-810	ACC/ATT	270	Thr/Ile	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EH	4ug/ml	Proportion method, E-Test	44/44	1/0	embB G406A
+EMB	embC	Srivastava S JMM 2009	814-815	GGC/GAC	272	Gly/Ser	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EH	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB V360M, A431T; embC H285Y, M300R, A307T; embR A176V, I369T"
+EMB	embC	Srivastava S JMM 2009	853	CAT/TAT	285	His/Tyr	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EH	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB V360M, A431T; embC G272S, M300R, A307T; embR A176V, I369T"
+EMB	embC	Srivastava S JMM 2009	859-861	GTG/TTT	287	Val/Phe	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EH	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB A357S, A379T; embC Y309N; embR L320V, S326N, V350G, H351Q, R356G, I369T"
+EMB	embC	Srivastava S JMM 2009	862-864	GGC/TGG	288	Gly/Trp	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	E	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB E368A, S380R, P397Q, R460C; embC A244T, V303G; embR L172R"
+EMB	embC	Srivastava S JMM 2009	863-864	GGC/GTG	288	Gly/Val	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	96ug/ml	Proportion method, E-Test	44/44	1/0	"embB H312R, S317T, A356F, L359I, R367P; embC M310K, Y327N"
+EMB	embC	Srivastava S JMM 2009	886-888	TAT/CAT	296	Tyr/His	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306I; embC T270I, G308D, G325S"
+EMB	embC	Srivastava S JMM 2009	886-888	TAT/AGC	296	Tyr/Ser	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	embC R302G
+EMB	embC	Srivastava S JMM 2009	889-891	ATT/TTG	297	Ile/Leu	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	E	3ug/ml	Proportion method, E-Test	44/44	1/0	"embB G358V, E368Q, S380D, P397T, G406D, G448V; embC W326R"
+EMB	embC	Srivastava S JMM 2009	889-891	ATT/CTG	297	Ile/Leu	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	48ug/ml	Proportion method, E-Test	44/44	1/0	"embB V360M; embC A247P, W326R; embR V7G"
+EMB	embC	Srivastava S JMM 2009	890-891	ATT/ACC	297	Ile/Thr	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	4ug/ml	Proportion method, E-Test	44/44	1/0	"embB S347I, E368D, R460L; embR R230W, I396T"
+EMB	embC	Srivastava S JMM 2009	898-900	ATG/CGT	300	Met/Arg	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EH	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB V360M, A431T; embC G272S, H285Y, A307T; embR A176V, I369T"
+EMB	embC	Srivastava S JMM 2009	904-906	CGT/GGC	302	Arg/Gly	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	embC Y296S
+EMB	embC	Srivastava S JMM 2009	908-909	GTG/GGC	303	Val/Gly	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	E	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB E368A, S380R, P397Q, R460C; embC A244T, G288W; embR L172R"
+EMB	embC	Srivastava S JMM 2009	919-921	GCG/ACC	307	Ala/Thr	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EH	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB V360M, A431T; embC G272S, H285Y, M300R; embR A176V, I369T"
+EMB	embC	Srivastava S JMM 2009	923-924	GGC/GAT	308	Gly/Asp	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306I; embC T270I, Y296H', G325S"
+EMB	embC	Srivastava S JMM 2009	925-927	TAT/AAC	309	Tyr/Asn	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EH	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB A357S, A379T; embC V287F; embR L320V, S326N, V350G, H351Q, R356G, I369T"
+EMB	embC	Srivastava S JMM 2009	929-930	ATG/AAA	310	Met/Lys	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	96ug/ml	Proportion method, E-Test	44/44	1/0	"embB H312R, S317T, A356F, L359I, R367P; embC G288V, Y327N"
+EMB	embC	Srivastava S JMM 2009	973	GGC/AGC	325	Gly/Ser	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306I; embC T270I, Y296H, G308D"
+EMB	embC	Srivastava S JMM 2009	976-978	TGG/CGT	326	Trp/Arg	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	E	3ug/ml	Proportion method, E-Test	44/44	1/0	"embB G358V, E368Q, S380D, P397T, G406D, G448V; embC I297L"
+EMB	embC	Srivastava S JMM 2009	979-981	TAT/AAC	327	Tyr/Asn	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	96ug/ml	Proportion method, E-Test	44/44	1/0	"embB H312R, S317T, A356F, L359I, R367P; embC G288V, M310K"
+EMB	embC	Ramaswamy SV AAC 2000	1180	AAC/GAC	394	Asn/Asp	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	50ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	"Gly350Asp and Pro913Ser in embA; Leu276Arg in Rv3124; -12 G deletion in Rv0340."
+EMB	embC	Ramaswamy SV AAC 2000	2213	CGG/CAG	738	Arg/Gln	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	N.S.	BACTEC 460, agar diffusion method	75/108	1/0	"-16 C/T in embA;  Met306Ile in embB, Pro54Ser in RV3124."
+EMB	embC	Sreevatsan S AAC 1997	2941	GTG/CTG or GTG/TTG	981	Val/Leu	Published 1997	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=118"	USA, Mexico, Europe, Yemen, the Philippines, Japan, India	PCR-SSCP, Sequencing	Whole gene	E	15ug/ml	BACTEC 460, agar diffusion method	16/19		All three isolates also had a synonymous G/A substitution at nt 2898 of embA.
+																	
+	embA: arabinosyltransferase gene																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+EMB	embA	Ramaswamy SV AAC 2000	-43	del CG		Frameshift	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	20-30ug/ml	BACTEC 460	75/108	2/0	"Met306Ile in embB at MIC=20ug/ml; Gly406Ser in embB at MIC=30ug/ml."
+EMB	embA	Ramaswamy SV AAC 2000	-16	C/T			Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	10-40ug/ml	BACTEC 460	75/108	2/0	"Arg738Gln in embC, Met306Ile in embB, and Pro54Ser in Rv3124 at MIC=40ug/ml; Ser501Trp at MIC>10ug/mL."
+EMB	embA	Ramaswamy SV AAC 2000	-12	C/T			Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	30ug/ml	BACTEC 460	75/108	2/0	"Gln497Lys in embB in one isolate; Gln497Lys in embB and Ser501Trp in iniA in another isolate."
+EMB	embA	Ramaswamy SV AAC 2000	-11	C/A			Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	20ug/ml	BACTEC 460	75/108	1/0	Met306Ile in embB.
+EMB	embA	Ramaswamy SV AAC 2000	10	GAC/AAC	4	Asp/Asn	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	40ug/ml	BACTEC 460	75/108	1/0	Gly406Asp in embB
+EMB	embA	Ramaswamy SV AAC 2000	601	GCG/ACG	201	Ala/Thr	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	30ug/ml	BACTEC 460	75/108	1/0	Asp328Tyr and Tyr334His in embB.
+EMB	embA	Ramaswamy SV AAC 2000	961	GGC/AGC	321	Gly/Ser	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	10-30ug/ml	BACTEC 460	75/108	1/0	
+EMB	embA	Ramaswamy SV AAC 2000	1049	GGC/GAC	350	Gly/Asp	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	10-30ug/ml	BACTEC 460	75/108	2/0	
+EMB	embA	Ramaswamy SV AAC 2000	1385	GCG/GTG	462	Ala/Val	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	10-30ug/ml	BACTEC 460	75/108	1/0	
+EMB	embA	Ramaswamy SV AAC 2000	2498	GAC/GGC	833	Asp/Ala	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	10-30ug/ml	BACTEC 460	75/108	1/0	
+EMB	embA	Ramaswamy SV AAC 2000	2737	CCG/TCG	913	Pro/Ser	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	40-50ug/ml	BACTEC 460	75/108	2/0	"Gln351STOP in iniC at MIC=40ug/ml; Asn394Asp in embC, Gly350Asp in embA, Leu276Arg in Rv3124, and -24 G deletion in Rv0340, at MIC=50ug/ml."
+																	
+	embB: arabinosyltransferase gene																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+EMB	embB	Srivastava S CurrMicro 2006	383	GTC/GGG	128	Val/Gly	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	5ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Jain A IndJMedRes 2008	662-663	GCG/GGC	221	Ala/Gly	2002-2004		India	Sequencing	ERDR	EHRS	>20ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Jain A IndJMedRes 2008	673-674	GCG/AGC	225	Ala/Ser	2002-2004		India	Sequencing	ERDR	EHRS	>20ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Jain A IndJMedRes 2008	680-681	GTG/GGC	227	Val/Gly	2002-2004		India	Sequencing	ERDR	EHRS	>20ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Srivastava S CurrMicro 2006	716	CTC/CCC	239	Leu/Pro	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	256ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Srivastava S CurrMicro 2006	718	GAC/CAC	240	Asp/His	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	4ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Srivastava S JMM 2009	769-771	CGT/TGG	257	Arg/Trp	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embC V287F, Y309N; embR A176V, R230W, I369T"
+EMB	embB	Jain A IndJMedRes 2008	812	GCG/GTG	271	Ala/Val	2002-2004		India	Sequencing	ERDR	EHRS	>20ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Jain A IndJMedRes 2008	814	AGC/TGC	272	Ser/Cys	2002-2004		India	Sequencing	ERDR	EHRS	>20ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Jain A IndJMedRes 2008	815-816	AGC/ATT	272	Ser/Ile	2002-2004		India	Sequencing	ERDR	EHRS	>20ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Wu  X  Chinese J of Antibiotics 2002	821	CGC/CCC	274	Arg/Pro											
+EMB	embB	Jain A IndJMedRes 2008	841	GCG/CCG	281	Ala/Pro	2002-2004		India	Sequencing	ERDR	EHRS	>20ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Jain A IndJMedRes 2008	841-843	TTT/CTG	281	Phe/Leu	2002-2004		India	Sequencing	ERDR	EHRS	>20ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Srivastava S JMM 2009	845	GTG/GGG	282	Val/Gly	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	12ug/ml	Proportion method, E-Test	44/44	1/0	None in region embB, embC or embR'
+EMB	embB	Jain A IndJMedRes 2008	844	GTG/CTG	282	Val/Leu	2002-2004		India	Sequencing	ERDR	EHRS	>20ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Sreevatsan S AAC 1997	855	TTC/TTA	285	Phe/Leu	Published 1997	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=118"	USA, Mexico, Europe, Yemen, the Philippines, Japan, India	PCR-SSCP, Sequencing	Whole gene	E	N.S.	BACTEC 460, agar diffusion method	69/99	1/0	
+EMB	embB	Jain A IndJMedRes 2008	860-861	TTT/TGC	287	Phe/Cys	2002-2004		India	Sequencing	ERDR	EHRS	>20ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Jain A IndJMedRes 2008	859-861	TTT/GTG	287	Phe/Val	2002-2004		India	Sequencing	ERDR	EHRS	>20ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Jain A IndJMedRes 2008	878-879	ATT/AAC	293	Ile/Asn	2002-2004		India	Sequencing	ERDR	EHRS	>20ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Jain A IndJMedRes 2008	880	GGC/AGC	294	Gly/Ser	2002-2004		India	Sequencing	ERDR	EHRS	>20ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Srivastava S JMM 2009	888	AAT/AAA	296	Asn/Lys	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	16ug/ml	Proportion method, E-Test	44/44	1/0	"embB E368D, G406S; embC I297T"
+EMB	embB	Ramaswamy SV AAC 2000	889	TCG/GCG	297	Ser/Ala	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	10-50ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	
+EMB	embB	Plinke C AAC 2006	890	TCG/TTG	297	Ser/Leu	2001	"EMB-R isolates (n=101; 72 of them also R to RIF); MDR but not EMB-R isolates (n=33); and fully susceptible isolates (n=25). Total N=159."	Germany	Sequencing	ERDR	E + INH + RIF  	N.S.	Proportion method, BACTEC 460	101/159	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Srivastava S CurrMicro 2006	897	GAC/GAA	299	Asp/Glu	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	2-6ug/ml	Proportion method, E-Test	23/23	4/0	"Out of 4 isolates, 2 were WT in all other loci analyzed except for a synonymous mutation (GCA/GCC) at embB259. These isolates had MIC=4-6ug/ml. Both other isolates contained the embB mutation Glu378Ala (GAA/GCG); one of them was also mutated at embB Pro44"
+EMB	embB	Sreevatsan S AAC 1997	916	ATG/CTG	306	Met/Leu	Published 1997	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=76"	USA, Mexico, Europe, Yemen, the Philippines, Japan, India	PCR-SSCP, Sequencing	Whole gene	E	40ug/ml	BACTEC 460, agar diffusion method	69/99	1/0	
+EMB	embB	Lee HY YonseiMedJ 2002	916	ATG/TTG	306	Met/Leu	Published 2002	Clinical isolates obtained from the Korean Institute of TB, Seoul. N=26.	South Korea	Sequencing	Whole gene	E, 	2ug/ml	Proportion method	21/26	1/0	None in region amplified (see Gene coverage). 
+EMB	embB	Sreevatsan S AAC 1997	916	ATG/GTG	306	Met/Val	Published 1997	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=118"	USA, Mexico, Europe, Yemen, the Philippines, Japan, India	PCR-SSCP, Sequencing	Whole gene	E	40ug/ml	BACTEC 460, agar diffusion method	69/99	12/0	
+EMB	embB	Sreevatsan S AAC 1997	918	ATG/ATA	306	Met/Ile	Published 1997	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=118"	USA, Mexico, Europe, Yemen, the Philippines, Japan, India	PCR-SSCP, Sequencing	Whole gene	E	20ug/ml	BACTEC 460, agar diffusion method	69/99	11/0	
+EMB	embB	Sreevatsan S AAC 1997	918	ATG/ATT	306	Met/Ile	Published 1997	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=118"	USA, Mexico, Europe, Yemen, the Philippines, Japan, India	PCR-SSCP, Sequencing	Whole gene	E	20ug/ml	BACTEC 460, agar diffusion method	69/99	2/0	
+EMB	embB	Sreevatsan S AAC 1997	918	ATG/ATC	306	Met/Ile	Published 1997	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=118"	USA, Mexico, Europe, Yemen, the Philippines, Japan, India	PCR-SSCP, Sequencing	Whole gene	E	20ug/ml	BACTEC 460, agar diffusion method	69/99	3/0	
+EMB	embB	Lee HY YonseiMedJ 2002	917-918	ATG/ACG	306	Met/Thr	Published 2002	Clinical isolates obtained from the Korean Institute of TB, Seoul. N=26.	South Korea	Sequencing	ERDR	E	2ug/ml	Proportion method	21/26	1/0	None in region amplified (see Gene coverage). 
+EMB	embB	Srivastava S JMM 2009	926-927	GTG/GGC	309	Val/Gly	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	128ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306V, A310R, D311R, V369A, P375A, F398Y, P461S; embC T270I; embR G240R"
+EMB	embB	Srivastava S JMM 2009	928-930	GCG/CGT	310	Ala/Arg	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	128ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306V, V309G, D311R, V369A, P375A, F398Y, P461S; embC T270I; embR G240R"
+EMB	embB	Srivastava S JMM 2009	931-932	GAC/CGT	311	Asp/Arg	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	128ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306V, V309G, A310R, V369A, P375A, F398Y, P461S; embC T270I; embR G240R"
+EMB	embB	Srivastava S CurrMicro 2006	931	GAC/CAC	311	Asp/His	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	12ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Srivastava S JMM 2009	935	CAT/CGT	312	His/Arg	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	96ug/ml	Proportion method, E-Test	44/44	1/0	"embB S317T, A356F, L359I, R367P; embC G288V, M310K, Y327N"
+EMB	embB	Lee HY YonseiMedJ 2002	941	GGC/GCG	314	Gly/Ala	Published 2002	Clinical isolates obtained from the Korean Institute of TB, Seoul. N=26.	South Korea	Sequencing	ERDR	E	4ug/ml	Proportion method	21/26	1/0	Tyr322Cys on embB.
+EMB	embB	Tracevska T ResMicro 2004	941-942	GGC/GAG	314	Gly/Glu	"Published 2004; isolates collected in 2001-2002"	Patients with primary and relapsed pulmonary MDR-TB: 33 EMB-R and 33 EMB-S (N=66).	Latvia	Sequencing	ERDR	EHRS	N.S.	BACTEC radiorespiratory method (7.5ug/ml EMB), and absolute concentration method on L-J medium (cutoff 2.0ug/ml EMB)	33/66	1/0	None in region amplified (see Gene coverage). 
+EMB	embB	Srivastava S JMM 2009	943-945	TAT/CTG	315	Tyr/Leu	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	256ug/ml	Proportion method, E-Test	44/44	1/0	embB L239P, N318S, V377G, E378A, Y384N, N400K, V452L
+EMB	embB	Srivastava S JMM 2009	950	AGC/ACC	317	Ser/Thr	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	96ug/ml	Proportion method, E-Test	44/44	1/0	"embB H312R, A356F, L359I, R367P; embC G288V, M310K, Y327N"
+EMB	embB	Srivastava S JMM 2009	352	AAC/CAT	318	Asn/His	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	16ug/ml	Proportion method, E-Test	44/44	1/0	embC T270I
+EMB	embB	Srivastava S JMM 2009	953	AAC/AGC	318	Asn/Ser	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	256ug/ml	Proportion method, E-Test	44/44	1/0	embB L239P, Y315L, V377G, E378A, Y384N, N400K, V452L
+EMB	embB	Srivastava S JMM 2009	954	AAC/AAA	318	Asn/Lys	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	32ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306V, N368A, S380R, P397Q, G459A, R460C; embR T32P, D53H"
+EMB	embB	Sugawara I Jpn J Infect Dis 2005	955	TAT/GAT	319	Tyr/Cys											
+EMB	embB	Chan RCY JAC 2007	955	TAT/AAT	319	Tyr/Asn											
+EMB	embB	Sugawara I Jpn J Infect Dis 2005	956	TAT/TGT	319	Tyr/Cys											
+EMB	embB	Plinke C AAC 2006	956	TAT/TCT	319	Tyr/Ser	2001	"EMB-R isolates (n=101; 72 of them also R to RIF); MDR but not EMB-R isolates (n=33); and fully susceptible isolates (n=25). Total N=159."	Germany	Sequencing	ERDR	EHR	N.S.	Proportion method, BACTEC 460	101/159	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Lee HY YonseiMedJ 2002	965	TAT/TGT	322	Tyr/Cys	Published 2002	Clinical isolates obtained from the Korean Institute of TB, Seoul. N=26.	South Korea	Sequencing	ERDR	E	4ug/ml	Proportion method	21/26	1/0	Ala314Gly on embB.
+EMB	embB	Ramaswamy SV AAC 2000	982	GAT/TAT	328	Asp/Tyr	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	30ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	Ala201Thr in embA, Tyr334His in embB.
+EMB	embB	Ramaswamy SV AAC 2000	983	GAT/GGT	328	Asp/Gly	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	10-50ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	
+EMB	embB	Plinke C AAC 2006	983-984	GAT/GTG	328	Asp/Val	2001	"EMB-R isolates (n=101; 72 of them also R to RIF); MDR but not EMB-R isolates (n=33); and fully susceptible isolates (n=25). Total N=159."	Germany	Sequencing	ERDR	EHR	N.S.	Proportion method, BACTEC 460	101/159	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Escalante P TuberLung Dis 1998	983	del A	328	Frameshift	"Published 1998; isolates collected 1995-1996"	Isolates from patients with pulmonary, suspected drug-resistant TB on the basis of failure of treatment with first-line drugs. N=29	Peru	Sequencing	ERDR	E	N.S.	Proportion method	40146	1/0	None in region amplified (see Gene coverage).
+EMB	embB	Sreevatsan S AAC 1997	988	TTC/GTC	330	Phe/Val	Published 1997	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=118"	USA, Mexico, Europe, Yemen, the Philippines, Japan, India	PCR-SSCP, Sequencing	Whole gene	E	40ug/ml	BACTEC 460, agar diffusion method	69/99	1/0	
+EMB	embB	Srivastava S JMM 2009	991-993	GGC/CGT	331	Gly/Arg	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	ER	16ug/ml	Proportion method, E-Test	44/44	1/0	"embB V360M, G374V, G401S; embC I297T; embR D223E"
+EMB	embB	Lee HY YonseiMedJ 2002	991	GAT/TAT	331	Asp/Tyr	Published 2002	Clinical isolates obtained from the Korean Institute of TB, Seoul. N=26.	Korea	Sequencing	ERDR	E	4ug/ml	Proportion method	21/26	1/0	None in region amplified (see Gene coverage). 
+EMB	embB	Plinke C AAC 2006	994-995	TGG/CTG	332	Trp/Leu	2001	"EMB-R isolates (n=101; 72 of them also R to RIF); MDR but not EMB-R isolates (n=33); and fully susceptible isolates (n=25). Total N=159."	Germany	Sequencing	ERDR	EHR	N.S.	Proportion method, BACTEC 460	101/159	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Sugawara I Jpn J Infect Dis 2005	997	TAT/CAT	333	Tyr/His											
+EMB	embB	Ramaswamy SV AAC 2000	1000	TAC/CAC	334	Tyr/His	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	30ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	Ala201Thr in embA, Asp328Tyr in embB.
+EMB	embB	Escalante P TuberLung Dis 1998	1040	AGT/ACT	347	Ser/Thr	"Published 1998; isolates collected 1995-1996"	Isolates from patients with pulmonary, suspected drug-resistant TB on the basis of failure of treatment with first-line drugs. N=29	Peru	Sequencing	ERDR	E	N.S.	Proportion method	40146	1/0	None in region amplified (see Gene coverage).
+EMB	embB	Srivastava S JMM 2009	1040	AGT/ATT	347	Ser/Ile	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	4ug/ml	Proportion method, E-Test	44/44	1/0	"embB E368D, R460L; embC I297T; embR R230W, I396T"
+EMB	embB	Srivastava S JMM 2009	1066-1068	GCG/TTT	356	Ala/Phe	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	96ug/ml	Proportion method, E-Test	44/44	1/0	"embB H312R, S317T, L359I, R367P; embC G288V, M310K, Y327N"
+EMB	embB	Srivastava S JMM 2009	1066-1068	GCG/AGC	356	Ala/Ser	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB D299E, P371R, E378K; embR R230W, L292M, L303E"
+EMB	embB	Srivastava S JMM 2009	1067	GCG/GTG	356	Ala/Val	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306L, S366P, W395R, A434G, V435G, V436G, T437A; embC T270I"
+EMB	embB	Srivastava S JMM 2009	1069-1071	GCG/AGC	357	Ala/Ser	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB A379T; embC V287F, Y309N; embR L320V S326N, V350G, H351Q, R356G, I369T"
+EMB	embB	Srivastava S JMM 2009	1070	GCG/GTG	357	Ala/Val	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	8ug/ml	Proportion method, E-Test	44/44	1/0	"embB A356F, L359I, E378A, A379D, Y384N, A388G, N399D, G406P; embC A247P, T270I, I297T"
+EMB	embB	Srivastava S JMM 2009	1073-1074	GGC/GTG	358	Gly/Val	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	3ug/ml	Proportion method, E-Test	44/44	1/0	"embB E368Q, S380D, P397T, G406D, G448V; embC I287L, W326R"
+EMB	embB	Srivastava S JMM 2009	1075-1077	CTG/ATT	359	Leu/Ile	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	96ug/ml	Proportion method, E-Test	44/44	1/0	"embB H312R, S317T, A356F, R367P; embC G288V, M310K, Y327N"
+EMB	embB	Srivastava S JMM 2009	1078	GTG/ATG	360	Val/Met	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	ER	16ug/ml	Proportion method, E-Test	44/44	1/0	"embB G331R, G374V, G401S; embC I297T; embR D223E"
+EMB	embB	Srivastava S JMM 2009	1096	AGC/CCG	366	Ser/Pro	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306L, A356V, W395R, A434G, V435G, V436G, T437A; embC T270I"
+EMB	embB	Srivastava S JMM 2009	1100-1101	CGT/CCG	367	Arg/Pro	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	96ug/ml	Proportion method, E-Test	44/44	1/0	"embB H312R, S317T, A356F, L359I; embC G288V, M310K, Y327N"
+EMB	embB	Srivastava S JMM 2009	1102-1104	GAA/CAG	368	Glu/Gln	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	3ug/ml	Proportion method, E-Test	44/44	1/0	"embB G358V, S380D, P397T, G406D, G448V; embC I287L, W326R"
+EMB	embB	Srivastava S JMM 2009	1104	GAA/GAT	368	Glu/Asp	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	4ug/ml	Proportion method, E-Test	44/44	1/0	"embB S347I, R460L; embC I297T; embR R230W, I396T"
+EMB	embB	Srivastava S CurrMicro 2006	1103-1104	GAA/GCG	368	Glu/Ala	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	32ug/ml	Proportion method	23/23	1/0	Met306Val, Ser380Arg, and Pro397Gln on embB. 
+EMB	embB	Srivastava S JMM 2009	1105	GTG/CTG	369	Val/Leu	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	12ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306I; embC L251R, A354G, T270I"
+EMB	embB	Srivastava S JMM 2009	1106	GTG/GCG	369	Val/Ala	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	128ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306V, V309G, A310R, D311R, P375A, F398Y, P461S; embC T270I; embR G240R"
+EMB	embB	Srivastava S JMM 2009	1109-1110	CTG/CGT	370	Leu/Arg	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	embB V377M, E378A, F398H, N399H, E405P, G406A
+EMB	embB	Srivastava S JMM 2009	1112-1113	CCG/CGT	371	Pro/Arg	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB D299E, A356S, E378K; embR R230W, L292M, L303E"
+EMB	embB	Srivastava S JMM 2009	1121-1122	GGC/GTG	374	Gly/Val	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EH	4ug/ml	Proportion method, E-Test	44/44	1/0	"embC W395C, N400P; embC G288W, V303G; embR A187V, R230W, I369T"
+EMB	embB	Srivastava S JMM 2009	1123-1124	CCG/GCG	375	Pro/Ala	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	128ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306V, V309G, A310R, D311R, V369A, F398Y, P461S; embC T270I; embR G240R"
+EMB	embB	Srivastava S JMM 2009	1129	GTG/ATG	377	Val/Met	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	embB L370R, E378A, F398H, N399H, E405P, G406A
+EMB	embB	Srivastava S JMM 2009	1130-1131	GTG/GGC	377	Val/Gly	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	256ug/ml	Proportion method, E-Test	44/44	1/0	embB L239P, Y315L, N318S, E378A, Y384N, N400K, V452L
+EMB	embB	Srivastava S JMM 2009	1132	GAA/AAA	378	Glu/Lys	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB D299E, A356S, P371R; embR R230W, L292M, L303E"
+EMB	embB	Srivastava S CurrMicro 2006	1103-1104	GAA/GCG	378	Glu/Ala	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	2ug/ml	Proportion method	23/23	2/0	Both of these isolates were mutated at embB Asp299Glu. One was also mutated at embB Pro446His and Ile465Asp, as well as embC Thr270Ile and 254 Synonymous (GCC/GCG). The other isolate was mutated at embBArg469Pro and Arg 471Pro. R/Tot and R/S calculated fr
+EMB	embB	Srivastava S JMM 2009	1135-1137	GCG/ACC	379	Ala/Thr	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB A357S; embC V287F, Y309N; embR L320V S326N, V350G, H351Q, R356G, I369T"
+EMB	embB	Srivastava S JMM 2009	1136-1137	GCG/GAT	379	Ala/Asp	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	8ug/ml	Proportion method, E-Test	44/44	1/0	"embB A356F, A357V, L359I, E378A, Y384N, A388G, N399D, G406P; embC A247P, T270I, I297T"
+EMB	embB	Srivastava S CurrMicro 2006	1138-1140	AGC/CGT	380	Ser/Arg	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	 32ug/ml	Proportion method	23/23	1/0	Met306Val, Glu368Ala, and Pro397Gln on embB. R/Tot and R/S calculated from Table 1.
+EMB	embB	Srivastava S JMM 2009	1139	AGC/AAC	380	Ser/Asp	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	3ug/ml	Proportion method, E-Test	44/44	1/0	"embB G358V, E368Q, P397T, G406D, G448V; embC I287L, W326R"
+EMB	embB	Srivastava S JMM 2009	1150-1152	TAT/AAC	384	Tyr/Asn	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	256ug/ml	Proportion method, E-Test	44/44	1/0	embB L239P, Y315L, N318S, V377G, E378A,  N400K, V452L
+EMB	embB	Srivastava S JMM 2009	1163-1164	GCG/GGC	388	Ala/Gly	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	8ug/ml	Proportion method, E-Test	44/44	1/0	"embB A356F, A357V, L359I, E378A, A379D, Y384N, N399D, G406P; embC A247P, T270I, I297T"
+EMB	embB	Srivastava S JMM 2009	1183-1185	TGG/CGT	395	Trp/Arg	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306L, A356V, S366P, A434G, V435G, V436G, T437A; embC T270I"
+EMB	embB	Srivastava S JMM 2009	1185	TGG/TGC	395	Trp/Cys	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EH	4ug/ml	Proportion method, E-Test	44/44	1/0	"embC G374V, N400P; embC G288W, V303G; embR A187V, R230W, I369T"
+EMB	embB	Srivastava S JMM 2009	1189-1190	CCG/ACC	397	Pro/Thr	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	3ug/ml	Proportion method, E-Test	44/44	1/0	"embB G358V, E368Q, S380D, G406D, G448V; embC I287L, W326R"
+EMB	embB	Srivastava S CurrMicro 2006	1190	CCG/CAG	397	Pro/Gln	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	 32ug/ml	Proportion method	23/23	1/0	Met306Val, Glu368Ala, and Ser380Arg on embB. R/Tot and R/S calculated from Table 1.
+EMB	embB	Srivastava S JMM 2009	1192-1193	TTT/CAT	398	Phe/His	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	embB L370R, V377M, E378A, N399H, E405P, G406A
+EMB	embB	Srivastava S JMM 2009	1193	TTT/TAT	398	Phe/Tyr	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	128ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306V, V309G, A310R, D311R, V369A, P375A, P461S; embC T270I; embR G240R"
+EMB	embB	Srivastava S JMM 2009	1195-1196	TTT/GAT	399	Asn/Asp	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	8ug/ml	Proportion method, E-Test	44/44	1/0	"embB A356F, A357V, L359I, E378A, A379D, Y384N, A388G, G406P; embC A247P, T270I, I297T"
+EMB	embB	Srivastava S JMM 2009	1195-1196	TTT/CAT	399	Asn/His	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	embB L370R, V377M, E378A, F398H, E405P, G406A
+EMB	embB	Srivastava S JMM 2009	1198-1200	AAC/CCG	400	Asn/Pro	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EH	4ug/ml	Proportion method, E-Test	44/44	1/0	"embC G374V, W395C; embC G288W, V303G; embR A187V, R230W, I369T"
+EMB	embB	Srivastava S JMM 2009	1200	AAC/AAA	400	Asn/Lys	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	256ug/ml	Proportion method, E-Test	44/44	1/0	embB L239P, Y315L, N318S, E378A, Y384N, V452L
+EMB	embB	Srivastava S JMM 2009	1203	ACG/ACA	401	Gly/Ser	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	ER	16ug/ml	Proportion method, E-Test	44/44	1/0	"embB G331R, G374V, G374V; embC I297T; embR D223E"
+EMB	embB	Srivastava S JMM 2009	1213-1214	GAA/CCG	405	Glu/Pro	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	embB L370R, V377M, E378A, F398H, N399H, G406A
+EMB	embB	Srivastava S JMM 2009	1216	GGC/CCG	406	Gly/Pro	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	8ug/ml	Proportion method, E-Test	44/44	1/0	"embB A356F, A357V, L359I, E378A, A379D, Y384N, A388G, N399D; embC A247P, T270I, I297T"
+EMB	embB	Ramaswamy SV AAC 2000	1216	GGC/AGC	406	Gly/Ser	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	30ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	-43 CG deletion in embA.
+EMB	embB	Ramaswamy SV AAC 2000	1216	GGC/TGC	406	Gly/Cys	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	30-50ug/ml	BACTEC 460, agar diffusion method	75/108	2/0	
+EMB	embB	Srivastava S JMM 2009	1217	GGC/GAT	406	Gly/Asp	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	3ug/ml	Proportion method, E-Test	44/44	1/0	"embB G358V, E368Q, S380D, P397T, G448V; embC I287L, W326R"
+EMB	embB	Ramaswamy SV AAC 2000	1217	GGC/GAC	406	Gly/Asp	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	40ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	Asp4Asn in embA
+EMB	embB	Ramaswamy SV AAC 2000	1217	GGC/GCC	406	Gly/Ala	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	20ug/ml	BACTEC 460, agar diffusion method	75/108	2/0	In one of the isolates, -11 C/A in embA and Met306Ile in embB.
+EMB	embB	Srivastava S CurrMicro 2006	1190	GGC/GCG	406	Gly/Ala	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	 32ug/ml	Proportion method	23/23	1/0	Met306Val, Glu368Ala, and Ser380Arg on embB. R/Tot and R/S calculated from Table 1.
+EMB	embB	Lee AS AAC 2004	1269	ATG/ATA	423	Met/Ile	Published 2004	EMB-R (n=25) and EMB-S (n=20) isolates. Total N=45.	Singapore	Sequencing	Whole gene	EI	N.S.	BACTEC 460	25/45	1/0	None in region amplified (see Gene coverage). 
+EMB	embB	Srivastava S JMM 2009	1289	CCG/CTG	430	Pro/Leu	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB G406D, A431T; embC I297T"
+EMB	embB	Srivastava S JMM 2009	1291-1293	GCG/ACC	431	Ala/Thr	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB G406D,P430L; embC I297T"
+EMB	embB	Srivastava S JMM 2009	1301-1302	GCG/GGC	434	Arg/Gly	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306L, A356V, S366P, W395R, V435G, V436G, T437A; embC T270I"
+EMB	embB	Srivastava S JMM 2009	1304-1305	GTG/GGC	435	Val/Gly	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306L, A356V, S366P, W395R, A434G, V436G, T437A; embC T270I"
+EMB	embB	Srivastava S JMM 2009	1307-1308	GTG/GGC	436	Val/Gly	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306L, A356V, S366P, W395R, A434G, V435G, T437A; embC T270I"
+EMB	embB	Srivastava S JMM 2009	1309-1311	ACC/GCG	437	Thr/Ala	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306L, A356V, S366P, W395R, A434G, V435G, V436G; embC T270I"
+EMB	embB	Srivastava S CurrMicro 2006	1337-1338	CCG/CAT	446	Pro/His	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	2ug/ml	Proportion method, E-Test	23/23	1/0	"Asp299Glu, Glu378Ala, and Ile465Asp in embB; Thr270Ile and 254 Synonymous (GCC/GCG) in embC. R/T and R/S calculated from Table 1."
+EMB	embB	Srivastava S JMM 2009	1343-1344	GGC/GTG	448	Gly/Val	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	3ug/ml	Proportion method, E-Test	44/44	1/0	"embB G358V, E368Q, S380D, P397T, G406D; embC I287L, W326R"
+EMB	embB	Srivastava S JMM 2009	1354	GTG/CTG	452	Val/Leu	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	256ug/ml	Proportion method, E-Test	44/44	1/0	embB L239P, Y315L, N318S, E378A, Y384N, N400K
+EMB	embB	Srivastava S JMM 2009	1376-1377	GGC/GCG	459	Gly/Ala	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	32ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306V, N318K, N368A, S380R, P397Q,  R460C; embR T32P, D53H"
+EMB	embB	Srivastava S JMM 2009	1378-1380	CGT/TGC	460	Arg/Cys	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB E368A, S380R, P397Q; embC A244T, G288W, V303G embR L172R"
+EMB	embB	Srivastava S JMM 2009	1379-1380	CGT/CTG	460	Arg/Leu	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	4ug/ml	Proportion method, E-Test	44/44	1/0	"embB S347I, E368D; embC I297T; embR R230W, I396T"
+EMB	embB	Srivastava S JMM 2009	1381-1383	CCG/AGC	461	Pro/Ser	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	128ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306V, V309G, A310R, D311R, V369A, P375A, F398Y; embC T270I; embR G240R"
+EMB	embB	Srivastava S CurrMicro 2006	1393-1394	ATT/GAT	465	Ile/Asp	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	2ug/ml	Proportion method, E-Test	23/23	1/0	"Asp299Glu, Glu378Ala, and Pro446His in embB; Thr270Ile and 254 Synonymous (GCC/GCG) in embC. R/T and R/S calculated from Table 1."
+EMB	embB	Srivastava S CurrMicro 2006	1406-1407	CGT/CCG	469	Arg/Pro	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	2ug/ml	Proportion method, E-Test	23/23	1/0	Asp299Glu, Glu378Ala, and Arg471Pro in embB. R/T and R/S calculated from Table 1.
+EMB	embB	Srivastava S CurrMicro 2006	1412-1413	CGT/CCG	471	Arg/Pro	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	2ug/ml	Proportion method, E-Test	23/23	1/0	Asp299Glu, Glu378Ala, and Arg469Pro in embB. R/T and R/S calculated from Table 1.
+EMB	embB	Ramaswamy SV AAC 2000	1490	CAG/CGG	497	Gln/Arg	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	30-50ug/ml	BACTEC 460, agar diffusion method	75/108	3/0	In one of the isolates: -12 C/T in embA, Ser501Trp in iniA.
+EMB	embB	Ramaswamy SV AAC 2000	1490	CAG/AAG	497	Gln/Lys	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	30-50ug/ml	BACTEC 460, agar diffusion method	75/108	2/0	"-12 C/T in embA at MIC=30ug/ml; -89 C/T in iniB at MIC>50ug/ml."
+EMB	embB	Sreevatsan S AAC 1997	1889	ACC/ATC	630	Thr/Ile	Published 1997	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=118"	USA, Mexico, Europe, Yemen, the Philippines, Japan, India	PCR-SSCP, Sequencing	Whole gene	E	>40ug/ml	BACTEC 460, agar diffusion method	69/99	2/0	
+EMB	embB	Lee AS AAC 2004	1975	GCG/ACG	659	Ala/Thr	Published 2004	EMB-R (n=25) and EMB-S (n=20) isolates. Total N=45.	Singapore	Sequencing	Whole gene	ES	N.S.	BACTEC 460	25/45	0/1	None in region amplified (see Gene coverage). 
+EMB	embB	Ramaswamy SV AAC 2000	2234	GGC/GAC	745	Gly/Asp	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	40ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	Gly308Arg in iniA
+EMB	embB	Ramaswamy SV AAC 2000	2876	GAC/GCC	959	Asp/Ala	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	10-50ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	
+EMB	embB	Ramaswamy SV AAC 2000	2999	ATG/AGG	1000	Met/Arg	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	10-50ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	
+EMB	embB	Ramaswamy SV AAC 2000	3070	GAC/AAC	1024	Asp/Asn	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	10-50ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	
+																	
+	embR (Rv1267c): putative regulator																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+EMB	embR	Ramaswamy SV AAC 2000	-273	ins A	-273	intergenic	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	20-40ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	
+EMB	embR	Srivastava S JMM 2009	20-21	GTG/GGC	7	Val/Gly	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	48ug/ml	Proportion method, E-Test	44/44	1/0	"embB V360M; embC A247P, I297L, W326R"
+EMB	embR	Srivastava S JMM 2009	94-96	ACC/CCG	32	Thr/Pro	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	32ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306V, N318K, E368A, S380R, P397Q, G459A, R460C; embR D53H"
+EMB	embR	Srivastava S JMM 2009	157	GAT/CAT	53	Asp/His	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	32ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306V, N318K, E368A, S380R, P397Q, G459A, R460C; embR T32P"
+EMB	embR	Srivastava S JMM 2009	329-330	TGC/TAT	110	Cys/Tyr	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	8ug/ml	Proportion method, E-Test	44/44	1/0	embC G288W, V303G
+EMB	embR	Srivastava S JMM 2009	515-516	CTG/CGT	172	Leu/Arg	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	4ug/ml	Proportion method, E-Test	44/44	1/0	"embB E368A, S380R, P397Q, R460C; embC A244T, G288W, V303G"
+EMB	embR	Srivastava S JMM 2009	527	GCG/GTG	176	Ala/Val	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB V360M, A431T; embC G272S, H285Y, M300R, A307T; embR I369T"
+EMB	embR	Srivastava S JMM 2009	556-558	CGT/GGC	186	Arg/Gly	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	24ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306L, E368A, S380R, P397Q, R460C; embC I297T; embR S188R, E200A, L211M"
+EMB	embR	Srivastava S JMM 2009	559-560	GCG/GTG	187	Ala/Val	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	4ug/ml	Proportion method, E-Test	44/44	1/0	"embB G374V, W395C, N400P; embC G288W, V303G; embR R230W, I369T"
+EMB	embR	Srivastava S JMM 2009	541-543	AGC/CGT	188	Ser/Arg	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB D299E, E378A, R469P, R471P; embR L211M, L320V"
+EMB	embR	Srivastava S JMM 2009	599-600	GAA/GCG	200	Glu/Ala	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	24ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306L, E368A, S380R, P397Q, R460C; embC I297T; embR S186G, S188R, L211M"
+EMB	embR	Srivastava S JMM 2009	631	CTG/ATG	211	Leu/Met	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB D299E, E378A, R469P, R471P; embR S188R, L320V"
+EMB	embR	Srivastava S JMM 2009	669	GAT/GAA	223	Asp/Glu	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	16ug/ml	Proportion method, E-Test	44/44	1/0	"embB G331R, V360M, G374V, G401S; embC I297T"
+EMB	embR	Srivastava S JMM 2009	688-690	CGT/TGG	230	Arg/Trp	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	4ug/ml	Proportion method, E-Test	44/44	1/0	"embB S347I, E368D, R460L; embC I297T; embR I396T"
+EMB	embR	Srivastava S JMM 2009	718-720	GGC/CGT	240	Gly/Arg	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	128ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306V, V309G, A319R, D311R, V369A, P375A, F398Y, P461S;  embC T270I"
+EMB	embR	Srivastava S JMM 2009	874	CTG/ATG	292	Leu/Met	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB D299E, A356S, P371R, E378K;  embR R230W, L303E"
+EMB	embR	Srivastava S JMM 2009	907-909	CTG/GAA	303	Leu/Glu	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB D299E, A356S, P371R, E378K;  embR R230W, L292M"
+EMB	embR	Srivastava S JMM 2009	958	CTG/GTG	320	Leu/Val	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB D299E, E378A, R469P, R471P; embR S188R, L211M"
+EMB	embR	Srivastava S JMM 2009	977	AGC/AAC	326	Ser/Asn	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB A357S, A379T; embC V287F, Y309N; embR L320V, V350G, H351Q, R356G, I369T"
+EMB	embR	Srivastava S JMM 2009	1049-1050	GTG/GGC	350	Val/Gly	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB A357S, A379T; embC V287F, Y309N; embR L320V, S326N, H351Q, R356G, I369T"
+EMB	embR	Srivastava S JMM 2009	1053	CAT/CAG	351	His/Glu	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB A357S, A379T; embC V287F, Y309N; embR L320V, S326N, V350G, R356G, I369T"
+EMB	embR	Srivastava S JMM 2009	1066-1068	CGT/GGC	356	Arg/Gly	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB A357S, A379T; embC V287F, Y309N; embR L320V, S326N, V350G, H351Q, I369T"
+EMB	embR	Srivastava S JMM 2009	1106-1107	ATT/ACC	369	Ile/Thr	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB A357S, A379T; embC V287F, Y309N; embR L320V, S326N, V350G, H351Q, R356G"
+EMB	embR	Ramaswamy SV AAC 2000	1136	CAG/CGG	379	Gln/Arg	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	20-40ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	
+EMB	embR	Srivastava S JMM 2009	1187-1188	ATT/ACC	396	Ile/Thr	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	4ug/ml	Proportion method, E-Test	44/44	1/0	"embB S347I, E368D, R460L; embC I297T; embR R230W"
+																	
+																	
+	Rv3124: putative regulator																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+EMB	Rv3124	Ramaswamy SV AAC 2000	-16	A/G		intergenic	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	10ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	Met306Ile in embB.
+EMB	Rv3125	Ramaswamy SV AAC 2000			54	Pro/Ser	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	40ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	Arg728Gln in embC, -16 C/T in embA, and  Met306Ile in embB.
+EMB	Rv3126	Ramaswamy SV AAC 2000			276	Leu/Arg	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	50ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	Asn396Asp in embC, Gly350Asp and Pro913Ser in embA and -12 G deletion in Rv0340.
+																	
+	Rv0340: EMB-induced gene																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+EMB	Rv0340	Ramaswamy SV AAC 2000	-24	del G			Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	N.S.	BACTEC 460, agar diffusion method	75/108	1/0	Asn396Asp in embC, Gly350Asp and Pro913Ser in embA, and Leu276Arg in Rv3124.
+EMB	Rv0340	Ramaswamy SV AAC 2000			173	Thr/Met	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	N.S.	BACTEC 460, agar diffusion method	75/108	3/2	"All three resistant isolates also had resistance-associated mutations in embC (n=1) or embB (n=3); see Note."
+																	
+	iniB: INH- and EMB-induced gene																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+EMB	iniB	Ramaswamy SV AAC 2000	-89	C/T			Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	>50ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	Gln497Lys in embB.
+EMB	iniB	Ramaswamy SV AAC 2000			47	Ala/Thr	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	30ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	
+																	
+	iniA: INH- and EMB-induced gene														75/108	7/0	
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+EMB	iniA	Ramaswamy SV AAC 2000			308	Gly/Arg	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	>50ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	Gly745Asp in embB
+EMB	iniA	Ramaswamy SV AAC 2000			501	Ser/Trp	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	>50ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	"Two of the seven isolates had the single mutation only, with MICs>50ug/ml; the other five strains each had one or more of the following mutations, with MICs of 5-30ug/ml: one with -12 C/T in embA and Gln497Arg i [...]
+																	
+	iniC: INH- and EMB-induced gene																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+EMB	iniC	Ramaswamy SV AAC 2000			248	Pro/Ala	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	5ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	Ser501Trp in iniA.
+EMB	iniC	Ramaswamy SV AAC 2000			351	Gln/STOP	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	40ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	Pro913Ser in embA.
+																	
+	rmlA2: EMB-induced gene																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+EMB	rmlA2	Ramaswamy SV AAC 2000			152	Asp/Asn	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	>50ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	Met305Ile in embB.
+																	
+	rmlD: EMB-induced gene																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+EMB	rmlD	Ramaswamy SV AAC 2000	-71	G/T			Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	>50ug/ml	BACTEC 460, agar diffusion method	75/108	2/0	
+EMB	rmlD	Ramaswamy SV AAC 2000			257	Ser/Pro	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	>50ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	No other resistance-associated mutations in the other 11 genes sequenced in the paper.
+EMB	rmlD	Ramaswamy SV AAC 2000			284	Thr/Lys	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	>50ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	
+
+ETHIONAMIDE [ETH]																	
+																	
+	inhA																
+Drug	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	Resistant isolates/Total isolates tested for mutation	Resistant/Sensitive isolates with mutation	Additional mutations
+ETH	inhA	Lee H IntJTuberLungDis 2000	280	TCG/GCG	94	Ser/Ala	Published 2000	"Clinical M.tb isolates; 12 INH-R only and 12 INH-R + ETH-R; none were involved in a single major outbreak of the disease (and so less likely to be related). N=24"	Korea	Sequencing	nt 174-384	HEth, HREth	N.S.	Proportion method.	12/24	0/0	Mutations in the regulatory region (mabA) were found.
+ETH	inhA	Ristow M Lancet 1995	304-305	AT/CC	95	Ile/Pro	Published 1995	Clinical M.tb isolates, including pan-susceptible (n=5), INH-R only (n=10), ETH-R only (n=4), INH-R and ETH-R (n=6), and resistant to INH and two or more other drugs (n=22). Total N=47	Germany, Nepal	Sequencing	region around inhA 94	MDR	N.S.	Proportion method.	32/47	7/0	None found in the fragment analyzed.
+																	
+	ethA/etaA (Rv3854c)																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+ETH	ethA/etaA	DeBarber AE PNAS 2000	65	del 1nt		frameshift	Published 2000	"Clinical isolates of MDR-M.tb (n=14); one ETA-monoresistant strain generated in vitro. N=15."	South Africa	Sequencing	Whole gene	Eth	N.S.	Proportion method.	11/15	1/0	None found in region analyzed.
+ETH	ethA/etaA	Morlock GP AAC 2003	110	del A		frameshift	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	>200ug/ml	Microplate almar blue assay	41/41	1/0	katG Ser315Thr
+ETH	ethA/etaA	DeBarber AE PNAS 2000	127	GGC/TGC	43	Gly/Cys	Published 2000	"Clinical isolates of MDR-M.tb (n=14); one ETA-monoresistant strain generated in vitro. N=15."	South Africa.	Sequencing	Whole gene	HEth	N.S.	Proportion method.	11/15	1/0	None found in region analyzed.
+ETH	ethA/etaA	Morlock GP AAC 2003	127	GGC/AGC	43	Gly/Ser	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	>200ug/ml	Microplate almar blue assay	41/41	1/0	katG Ser315Thr
+ETH	ethA/etaA	DeBarber AE PNAS 2000	152	CCC/CTC	51	Pro/Leu	Published 2000	"Clinical isolates of MDR-M.tb (n=14); one ETA-monoresistant strain generated in vitro. N=15."	South Africa	Sequencing	Whole gene	EthL	N.S.	Proportion method.	11/15	1/0	None found in region analyzed.
+ETH	ethA/etaA	Morlock GP AAC 2003	167	GAC/GCC	55	Asp/Ala 	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	>200ug/ml	Microplate almar blue assay	41/41	1/0	katG Gly279Asp, mabA -15 C/T
+ETH	ethA/etaA	DeBarber AE PNAS 2000	173	GAC/GCC	58	Asp/Ala	Published 2000	"Clinical isolates of MDR-M.tb (n=14); one ETA-monoresistant strain generated in vitro. N=15."	South Africa	Sequencing	Whole gene	Eth	N.S.	Proportion method.	11/15	1/0	None found in region analyzed.
+ETH	ethA/etaA	DeBarber AE PNAS 2000	250	TAC/GAC	84	Tyr/Asp	Published 2000	"Clinical isolates of MDR-M.tb (n=14); one ETA-monoresistant strain generated in vitro. N=15."	South Africa	Sequencing	Whole gene	Eth	N.S.	Proportion method.	11/15	1/0	None found in region analyzed.
+ETH	ethA/etaA	Morlock GP AAC 2003	338	ins A		frameshift	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	100ug/ml	Microplate almar blue assay	41/41	1/0	katG Ser315Thr
+ETH	ethA/etaA	DeBarber AE PNAS 2000	557	ACG/AAG	186	Thr/Lys	Published 2000	"Clinical isolates of MDR-M.tb (n=14); one ETA-monoresistant strain generated in vitro. N=15."	South Africa	Sequencing	Whole gene	Eth	N.S.	Proportion method.	11/15	1/0	None found in region analyzed.
+ETH	ethA/etaA	Morlock GP AAC 2003	667	GAG/AAG	223	Glu/Lys	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	50ug/ml	Microplate almar blue assay	41/41	1/0	mabA -15 C/T
+ETH	ethA/etaA	Morlock GP AAC 2003	703	del T		frameshift	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	>200ug/ml	Microplate almar blue assay	41/41	1/0	katG Ser315Thr
+ETH	ethA/etaA	Morlock GP AAC 2003	736	CAG/TAG	246	Gln/STOP	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	>200ug/ml	Microplate almar blue assay	41/41	1/0	mabA -15 C/T
+ETH	ethA/etaA	Morlock GP AAC 2003	768	del G		frameshift	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	>200ug/ml	Microplate almar blue assay	41/41	1/0	katG Ser315Thr
+ETH	ethA/etaA	DeBarber AE PNAS 2000	811	ins 1 bp		frameshift	Published 2000	"Clinical isolates of MDR-M.tb (n=14); one ETA-monoresistant strain generated in vitro. N=15."	South Africa	Sequencing	Whole gene	HEth	N.S.	Proportion method.	11/15	1/0	None found in region analyzed.
+ETH	ethA/etaA	DeBarber AE PNAS 2000	1025	ACG/AAG	342	Thr/Lys	Published 2000	"Clinical isolates of MDR-M.tb (n=14); one ETA-monoresistant strain generated in vitro. N=15."	South Africa	Sequencing	Whole gene	HEth	N.S.	Proportion method.	11/15	3/0	None found in region analyzed.
+ETH	ethA/etaA	Morlock GP AAC 2003	1013	ATC/AGC	338	Ile/Ser	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	200ug/ml	Microplate almar blue assay	41/41	1/0	katG Ser315Thr, mabA -15 C/T
+ETH	ethA/etaA	DeBarber AE PNAS 2000	1141	GCC/CCC	381	Ala/Pro	Published 2000	"Clinical isolates of MDR-M.tb (n=14); one ETA-monoresistant strain generated in vitro. N=15."	South Africa	Sequencing	Whole gene	HEth	N.S.	Proportion method.	11/15	2/0	None found in region analyzed.
+ETH	ethA/etaA	Morlock GP AAC 2003	1154	GGC/GAC	385	Gly/Asp	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	>200ug/ml	Microplate almar blue assay	41/41	1/0	katG Ser315Thr, mabA -15 C/T
+ETH	ethA/etaA	Morlock GP AAC 2003	1174	ACG/GCG	392	Thr/Ala	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	>200ug/ml	Microplate almar blue assay	41/41	1/0	katG Ser315Thr
+ETH	ethA/etaA	Morlock GP AAC 2003	1238	GGT/GAT	413	Gly/Asp	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	50ug/ml	Microplate almar blue assay	41/41	1/0	None found in region analyzed.
+ETH	ethA/etaA	Morlock GP AAC 2003	1290	del C		Frameshift	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	50ug/ml	Microplate almar blue assay	41/41	1/0	katG Ser315Thr
+ETH	ethA/etaA	Morlock GP AAC 2003	1322-1323	del GC		Frameshift	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	>200ug/ml	Microplate almar blue assay	41/41	1/0	None found in region analyzed.
+ETH	ethA/etaA	Morlock GP AAC 2003	1387	CGT/AGT	463	Arg/Ser	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	50ug/ml	Microplate almar blue assay	41/41	1/0	katG Trp341Ser, mabA -15 C/T
+																	
+																	
+	mabA																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+ETH	mabA	Lee H IntJTuberLungDis 2000	-15	C/T 			Published 2000	"Clinical M.tb isolates; 12 INH-R only and 12 INH-R + ETH-R; none were involved in a single major outbreak of the disease (and so less likely to be related). N=24"	South Korea	Sequencing	Whole	HEth, HREth	40-80ug/ml	Proportion method.	12/24	12/2	No mutation in inhA94 found.
+ETH	mabA	Morlock P AAC 2003	-17	G/T			Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole	EthH	100ug/ml	Microplate almar blue assay	41/41	1/0	inhA Ile21Thr
+
+FLUOROQUINOLONES [FLQ]																	
+																	
+	gyrA																
+Drug	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC (ug/ml)	Susceptibility testing method	Resistant isolates/Total isolates tested for mutation	Resistant/Sensitive isolates with mutation	Additional mutations	
+FLQ	gyrA	Shi R JCM 2006	220	GCC/TCC	74	Ala/Ser	2002-2003		China	Sequencing 	227bp QRDR gyrA	OFX	OFL 2-32	Absolute concentration method 	87/109	10/0	gyrA: Asp94Gly
+FLQ	gyrA	Aubry A AAC 2006	238	ACC/GCC	80	Thr/Ala	Published 2006		France	Sequencing	QRDRs on gyrA and gyrB	The Thr80Ala mutants are resistant to all 5 drugs. The Thr80Ala + Ala90Gly double mutants are hypersusceptible to all 5 drugs, with MICs significantly lowered compared to H37Rv.		Proportion method 	14/15	Single mutants: 2/0. Double mutants: 0/4.	gyrA: Ala90Val
+FLQ	gyrA	Matrat S AAC 2006 Dec	263	GGC/GCC	88	Gly/Ala	Published 2006 		N.S.	Sequencing	nt 247-282 of gyrA 	"Resistant to: sparfloxacin, gemifloxacin, gatifloxacin, moxifloxacin, levofloxacin, ofloxacin, enoxacin, temafloxacin, flumequine, oxolinic acid, nalidixic acid, pipemidic acid; and to coumarin. "	2x to 16x higher than WT (H37Rv) MICs for the same drugs.	Proportion method 	39938	5/0	N.S.
+FLQ	gyrA	Von Groll A AAC 2009	265	GAC/AAC	89	Asp/Asn	Published 2006 		N.S.	Sequencing	nt 247-282 of gyrA 	"Resistant to: sparfloxacin, gemifloxacin, gatifloxacin, moxifloxacin, levofloxacin, ofloxacin, enoxacin, temafloxacin, flumequine, oxolinic acid, nalidixic acid, pipemidic acid; and to coumarin. "	2x to 16x higher than WT (H37Rv) MICs for the same drugs.	Proportion method 	39938	5/0	N.S.
+FLQ	gyrA	Takiff HE AAC 1994	269	GCG/GTG	90	Ala/Val	Published 1994		N.S.	PCR-SSCP, Sequencing	320-bp QRDR of gyrA	CIP	CIP: 4-8	BACTEC 460	3/54	3/0	gyrA: Ser95Thr
+FLQ	gyrA	Aubry A AAC 2006	269	GCG/GGG	90	Ala/Gly	Published 2006		France	Sequencing	QRDRs on gyrA and gyrB	Hypersusceptible to all 5 drugs, with MICs significantly lowered compared to H37Rv.	GAT 0.12-0.5, MOX 0.12-0.25, LVX 0.25-1, OFX 0.25-1, and ENX 2-8 ug/ml.	Proportion method	14/15	0/4	gyrA: Thr80Ala
+FLQ	gyrA	Takiff HE AAC 1994	271	TCG/CCG	91	Ser/Pro	Published 1994		N.S.	PCR-SSCP, Sequencing	320-bp QRDR of gyrA	CIP	CIP: 4	BACTEC 460	1/54	1/0	gyrA: Ser95Thr
+FLQ	gyrA	Takiff HE AAC 1994	280	GAC/AAC	94	Asp/Asn	Published 1994		N.S.	PCR-SSCP, Sequencing	320-bp QRDR of gyrA	CIP	CIP: 8	BACTEC 460	1/54	1/0	gyrA: Ser95Thr
+FLQ	gyrA	Takiff HE AAC 1994	280	GAC/CAC	94	Asp/His	Published 1994		N.S.	PCR-SSCP, Sequencing	320-bp QRDR of gyrA	CIP	CIP: 4	BACTEC 460	1/54	1/0	gyrA: Ser95Thr
+FLQ	gyrA	Bravao LTC JCM 2009	280-281	GAC/GTC	94	Asp/Phe	Published 2009		Phillipines	Sequencing	225-bp gyrA QRDR	HROfx	N.S.	Proportion method	9/102	1/0	gyrA: Ser95Thr
+FLQ	gyrA	Takiff HE AAC 1994	280	GAC/TAC	94	Asp/Tyr	Published 1994		N.S.	PCR-SSCP, Sequencing	320-bp QRDR of gyrA	CIP	CIP: 8	BACTEC 460	2/54	2/0	gyrA: Ser95Thr
+FLQ	gyrA	Takiff HE AAC 1994	281	GAC/GGC	94	Asp/Gly	Published 1994		N.S.	PCR-SSCP, Sequencing	320-bp QRDR of gyrA	CIP	CIP: 8	BACTEC 460	5/54	5/0	gyrA: Ser95Thr
+FLQ	gyrA	Takiff HE AAC 1994	281	GAC/GCC	94	Asp/Ala	Published 1994		N.S.	PCR-SSCP, Sequencing	320-bp QRDR of gyrA	CIP	CIP: 4	BACTEC 460	1/54	1/0	gyrA: Ser95Thr
+FLQ	gyrA	Sulochana S J Chemother 2007	281	GAC/GTC	94	Asp/Val	Published 2007		India	Sequencing	320-bp gyrA QRDR, 360-bp gyrB QRDR	Moderately resistant to OFX.	OFX: 16-64	Absolute concentration method 	71/118	7/0	gyrA: Ser95Thr
+FLQ	gyrA	Kapur V Arch PathLabMEd 1995	284	AGC/ACC	95	Ser/Thr											
+FLQ	gyrA	Kam KM Microb Drug Res 2006	305	CCC/CAC	102	Pro/His											
+FLQ	gyrA	Sulochana S J Chemother 2007	325	CTG/GTG	109	Leu/Val	Published 2007		India	Sequencing	320-bp gyrA QRDR, 360-bp gyrB QRDR	Moderately susceptible to OFX.	OFX: 2	Absolute concentration method 	71/118	0/1	
+																	
+																	
+	gyrB																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations	
+FLQ	gyrB	Feuerriegel S AAC 2009	1369	CGT/TGT	457	Arg/Cys	2003-2006	Isolates from a program for the treatment of MDR in Karakalpakstan	Uzbekistan	Sequencing	QRDRs on gyrA and gyrB	OFX	N.S.	BACTEC 460 and MGIT 960	26/49	1/0	
+FLQ	gyrB	Duong DA AAC 2009	1373	TCC/TTC	458	Ser/Phe	2005-2007		Vietnam	Sequencing	QRDRs on gyrA and gyrB			Proportion method	109/218	1/0	No other mutation in gyrA or gyrB
+FLQ	gyrB	Duong DA AAC 2009	1414	GAC/CAC	472	Asp/His	2005-2007		Vietnam	Sequencing	QRDRs on gyrA and gyrB			Proportion method	109/218	1/0	No other mutation in gyrA or gyrB
+FLQ	gyrB	Aubry A AAC 2006	1414	GAC/CAC	472	Asp/His	Published 2006		France	Sequencing	QRDRs on gyrA and gyrB	Strongly resistant to OFX	OFX: 60ug/ml	N.S.	14/15	1/0	"Ala90Val in gyrA; no other mutations in QRDR of gyrB."
+FLQ	gyrB	Pitaksajjakul P Southeast Asian J Trop Med Public Health 2005	1414	GAC/AAC	472	Asp/Asn	Published 2005		Thailand	PCR-SSCP, Sequencing	"320-bp QRDR of gyrA; 429-bp QRDR of gyrB."	INH+RIF+STR+EMB+OFX 	N.S.	Absolute concentration method	35/35	1/0	No further mutations in gyrA or gyrB QRDRs found.
+FLQ	gyrB	Duong DA AAC 2009	1414	GAC/AAC	472	Asp/Asn	2005-2007		Vietnam	Sequencing	QRDRs on gyrA and gyrB			Proportion method	109/218	1/0	gyrA D94A
+FLQ	gyrB	Duong DA AAC 2009	1415	GAC/GCC	472	Asp/Ala	2005-2007		Vietnam	Sequencing	QRDRs on gyrA and gyrB			Proportion method	109/218	1/0	gyrA A90V
+FLQ	gyrB	Duong DA AAC 2009	1442	GGT/GCT	481	Gly/Ala	2005-2007		Vietnam	Sequencing	QRDRs on gyrA and gyrB			Proportion method	109/218	1/0	No other mutation in gyrA or gyrB
+FLQ	gyrB	Lee AS Int J Infect Dis 2002	1514	GAC/GCC	505	Asp/Ala											
+FLQ	gyrB	Aubry A AAC 2006	1528	AAC/GAC	510	Asn/Asp	Published 2006		France	Sequencing	QRDRs on gyrA and gyrB	"GAT, MOX, LVX, and OFX; strongly resistant to ENX."	GAT: >1, MOX and LVX: 2, OFX: 4, and ENX: 64	Proportion method	14/15	1/0	No other mutations in QRDR of gyrA or gyrB.	
+FLQ	gyrB	Duong DA AAC 2009	1529	AAC/ACC	510	Asn/Thr	2005-2007		Vietnam	Sequencing	QRDRs on gyrA and gyrB			Proportion method	109/218	1/0	gyrA A90V	
+FLQ	gyrB	Mokrousov I AAC 2008	1530	AAC/AAA	510	Gln/Lys	2004 - 2005		Taiwan	Sequencing	QRDRs on gyrA and gyrB	OFX, CIP, LVX, and MOX. Out of the 14 FQ-R isolates, 6 (42.9%) were resistant to at least one 1st-line drug, while 4 (28.6%) were multidrug-resistant.	OFX: 8, CIP: 5, LVX: 1, and MOX: 1	Modified proportion method	14/420	1/0	No further mutations in gyrA or gyrB QRDRs found.	
+FLQ	gyrB	Duong DA AAC 2009	1531	ACC/CCC	511	Thr/Pro	2005-2007		Vietnam	Sequencing	QRDRs on gyrA and gyrB			Proportion method	109/218	1/0	gyrA A90V	
+FLQ	gyrB	Duong DA AAC 2009	1535	GAA/GTA	512	Glu/Val	2005-2007		Vietnam	Sequencing	QRDRs on gyrA and gyrB			Proportion method	109/218	1/0	No other mutation in gyrA or gyrB	
+FLQ	gyrB	Duong DA AAC 2009	1536	GAA/	512	Glu/Asp	2005-2007		Vietnam	Sequencing	QRDRs on gyrA and gyrB			Proportion method	109/218	1/0	No other mutation in gyrA or gyrB	
+FLQ	gyrB	Mokrousov I AAC 2008	1543	GCG/ACG	515	Ala/Thr	2004 - 2005		Taiwan	Sequencing	QRDRs on gyrA and gyrB	OFX, CIP, LVX, and MOX. Out of the 14 FQ-R isolates, 6 (42.9%) were resistant to at least one 1st-line drug, while 4 (28.6%) were multidrug-resistant.	OFX: 8, CIP: 5, LVX: 1, and MOX: 1	Modified proportion method	14/420	1/0	No further mutations in gyrA or gyrB QRDRs found.	
+FLQ	gyrB	Mokrousov I AAC 2008	1544	GCG/GTG	515	Ala/Val	2004 - 2005		Taiwan	Sequencing	QRDRs on gyrA and gyrB	OFX, CIP, LVX, and MOX. Out of the 14 FQ-R isolates, 6 (42.9%) were resistant to at least one 1st-line drug, while 4 (28.6%) were multidrug-resistant.	OFX: 8, CIP: 5, LVX: 1, and MOX: 1	Modified proportion method	14/420	1/0	No further mutations in gyrA or gyrB QRDRs found.	
+FLQ	gyrB	Mokrousov I AAC 2008	1647	CAA/CAT	549	Gln/His	2004 - 2005		Taiwan	Sequencing	QRDRs on gyrA and gyrB	OFX, CIP, LVX, and MOX. Out of the 14 FQ-R isolates, 6 (42.9%) were resistant to at least one 1st-line drug, while 4 (28.6%) were multidrug-resistant.	OFX: 8, CIP: 5, LVX: 1, and MOX: 1	Modified proportion method	14/420	1/0	No further mutations in gyrA or gyrB QRDRs found.	
+
+ISONIAZID [INH]													Whole gene screened	Resistanttotwodrugs				
+													Large proportion of gene screened	Monoresistant				
+													Small proportion of gene screened					
+		Cloned and sequenced by: Zhang Y Nature 1992 and Zhang Y JB 1993																
+	katG	Transformed and restored INH sensitivity by: Zhang Y Mol Micro 1993																
+Drug	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	Resistant isolates/Total isolates tested for mutation	Resistant/Sensitive isolates with mutation	Additional mutations	
+INH	katG	Baker LV AAC 2005	-1	ins C		Frameshift	1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array, Sequencing	Whole gene	H,HS,HE,HSE,MDR	ratio>=4	Resistance ratio method	202/378	1/0	CCC-CCG substitution at nt 723, Pro-Pro
+INH	katG	Gagneux S PLOS Path 2006	1	GTG/TTG or GTG/CTG	1	Val/Leu											
+INH	katG	Heym B MolMicro 1995	2	GTG/GCG	1	Val/Ala	1995	Isolates from patients of Pitie Salpietre hospital in France during 1991-92	Russia	PCR-SSCP, Sequencing	Whole gene	MDR	1	Proportion method	34/37	1/0	
+INH	katG	Cockerill FR JID 1995	4	CCC/TCC	2	Pro/Ser	1995	clinical strains of mtb	USA, Japan	Sequencing	Whole gene		0.12	Proportion method		1/0	Ala65Thr, Ala66Pro, Met126Ile, Ala243Ser, Asn258Ser, Ala264Thr, Tyr337Phe
+INH	katG	Siddiqi N AAC 2002	30	del C	10	TRUNC 26aa	1995-1998	North India hospitals National Mycobacterium Repository	India	Sequencing	nt 3-239 & 1187-1600	H,HRO,HR,HROS	10ug/ml R, 1ug/ml I, 2ug/ml O 2ug/ml S	Proportion method	74/126	6/0	R463L KatG, S95T gyrA, H526R rpo, H526Y rpo, D516V rpo, S531L rpo, D94A gyrA, K121K rpsL
+INH	katG	Cockerill FR JID 1995		del 8bp	10	Frameshift	1995	Isolates from the Mayo Clinic	USA	Sequencing	Whole gene	H	>32ug/ml	Proportion method		1/0	Ala424Val and Ala550Asp in katG.
+INH	katG	Siddiqi N AAC 2002	31	ACC/GCC	11	Thr/Ala	1995-1998	North India hospitals National Mycobacterium Repository	India	Sequencing	3-239,1187-1600	H,R	10ug/ml R, 1ug/ml I	Proportion method	74/126	1/0	R463L KatG, D516G rpo
+INH	katG	Siddiqi N AAC 2002	34	ACC/CCC	12	Thr/Pro	1995-1998	North India hospitals National Mycobacterium Repository	India	Sequencing	nt 3-239 1187-1600	H	1ug/ml I	Proportion method	74/126	1/0	R463L KatG
+INH	katG	Cockerill FR JID 1995	50	AGC/AAC	17	Ser/Asn	1995	Isolates from the Mayo Clinic	USA	Sequencing	Whole gene	H	0.12-1ug/ml	Proportion method			Gly19Asp, Gln224Glu, Ala243Ser, Ala550Asp
+INH	katG	Cockerill FR JID 1995	56	GGC/GAC	19	Gly/Asp	1995	Isolates from the Mayo Clinic	USA	Sequencing	Whole gene	H	0.12ug/ml	Proportion method		0/1	Pro2Ser, Ser17Asn, Gln224Glu, Ala243Ser, Ala550Asp
+INH	katG	Ramaswamy SV J Med Micro 2004	85-1059	del	29-353	Truncation	1996-1998	Jose Gonzalez hospital Mexico	Mexico	Directed Oligonucleotide array, Sequencing	codon 228-357	H,R,E	>=1% growth 0.2ug/ml I, 40ug/ml R, 4ug/ml S, 2ug/ml E	Proportion method	37/50	1/0	"nt 1238; T-C rrs "
+INH	katG	Siddiqi N AAC 2002	98	ins A	33	Truncation	1995-1998	North India hospitals National Mycobacterium Repository	India	Sequencing	nt 3-239 & 1187-1600	HR,HRS	10ug/ml R, 1ug/ml I	Proportion method	74/126	4/0	S531W rpo, H526L rpo, R463L KatG, D516G rpo, H526R rpo
+INH	katG	Siddiqi N AAC 2002	103	AAC/GAC	35	Asn/Asp	2002	Clinical isolates from patients referred to hospital.	India	Sequencing.	237bp + 414bp fragments	I,IRSO	>1ug/ml	Proportion method	74/126	2/0	"One mutant at katG Arg463Leu; both mutant at rpoB Asp516Val."
+INH	katG	Siddiqi N AAC 2002	109	del G	37	TRUNC 45aa	1995	North India hospitals National Mycobacterium Repository	India	Sequencing	nt 3-239 & 1187-1600	HRO,HR	10ug/ml R, 1ug/ml I 2ug/ml O	Proportion method	74/126	2/0	S531W rpo, S95T gyrA, L511L H526R rpo
+INH	katG	Secondary Publication: Hazbon MH AAC 2006	114	TGG/TGA	38	Trp/STOP											
+INH	katG	Sekigushi J JCM 2007	143	CTG/CAG	48	Leu/Gln	2007	Japan & Poland	Japan	Sequencing	Whole gene			Proportion method, BACTEC	38/138	1/0	 -15C/T upstream of mabA
+INH	katG	Baker LV AAC 2005	149	del A	50	Frameshift	1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array, Sequencing	Whole gene	H,HS,HE,HSE,MDR	ratio>=4	Resistance ratio method	202/378	1/0	ahpC-34A
+INH	katG	Pretorius GS AAC 1995	157-168	del CCGTCGCTGACC	52-57	del Ala Val Ala Asp Pro	1995	South Africa Switzerland, USA	USA	PCR-SSCP, Sequencing	1-221, 202-338, 319-558, 541-741, 722-942, 923-1140, 1120-1342, 1323-1526, 1507-1718, 1699-1915, 1896-2115, 2096-2310	HR	1.0 ug/ml	Proportion method	39/69	1/0	
+INH	katG	Siddiqi N AAC 2002	181	GCG/ACG	61	Ala/Thr	1995-1998	North India hospitals National Mycobacterium Repository	India	Sequencing	nt 3-239 & 1187-1600	HRO	10ug/ml R, 1ug/ml I, 2ug/ml O 	Proportion method	74/126	1/0	R463L KatG, S95T gyrA, S531L rpo
+INH	katG	Siddiqi N AAC 2002	185	ins C	62	Truncation	1995-1998	North India hospitals National Mycobacterium Repository	India	Sequencing	nt 3-239 & 1187-1600	HRS,HO,HR	10ug/ml R, 1ug/ml I 2ug/ml O	Proportion method	74/126	3/0	S531W rpo, K121K rpsL, S95T gyrA,H526R rpo
+INH	katG	Rouse DA AAC 1995	189	GAC/GAA	63	Asp/Glu	1995	Clinical isolates.	USA, South Korea	PCR-SSCP, Sequencing	Whole gene	H	50ug/ml	Absolute concentration method.	26/26	1/0	
+INH	katG	Marttila HJ AAC 1996	195	ins CCCC	65	Frameshift	1989-1995	Finland	Finland	Sequencing	Whole gene	H	1ug/ml	Disk elution method	54/56	1/0	
+INH	katG	Cockerill FR JID 1995	193	GCC/ACC	65	Ala/Thr	1995	Isolates from the Mayo Clinic	USA	PCR, RFLP,  Sequencing.	Whole gene	H	0.25ug/ml	Proportion method		0/1	Ala66Pro and others in katG.
+INH	katG	Cockerill FR JID 1995	196	GCG/CCG	66	Ala/Pro	1995	Isolates from the Mayo Clinic	USA	Sequencing	Whole gene	H	0.25ug/ml	Proportion method		0/1	Ala65Thr, Met126Ile, Ala243Ser, Asn258Ser, Ala264Thr, Tyr337Phe
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	212	ATC/AAC	71	Ile/Asn											
+INH	katG	Chan RCY JAC 2007		GAC/GGC	72	Asp/Gly	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Secondary Publication: Hazbon MH AAC 2006	214	GAC/AAC	72	Asp/Lys											
+INH	katG	Siddiqi N AAC 2002	?	GAC/AAC	73	Asp/Asn	1995	North India hospitals National Mycobacterium Repository	India	Sequencing	nt 3-239 & 1187-1600	H	1ug/ml I	Proportion method	74/126	1/0	R463L KatG
+INH	katG	Chan RCY JAC 2007	220	GAC/TAC	74	Asp/Tyr	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Chan RCY JAC 2007	221	GAC/GGC	74	Asp/Gly	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Chan RCY JAC 2007	252	ATG/ATA	84	Met/Ile	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Gagneux S PLOS Path 2006	253	ACC/CCC	85	Thr/Pro											
+INH	katG	Marttila HJ AAC 1998	263	CAG/CGG	88	Gln/Arg											
+INH	katG	Cockerill FR JID 1995	270	TGG/TGA	90	Trp/STOP	1995	clinical strains of mtb	USA, Japan	Sequencing	Whole gene		">32; catalase 5 mm"	Proportion method		1/0	none
+INH	katG	Ramaswamy SV AAC 2003	271	TGG/CGG	91	Trp/Arg		38 epidemiologically unrelated INH-monoresistant and 86 INH-susceptible isolates	USA, Mexico	Sequencing			2	"BACTEC radiometric method; E-test"	38/121	1/0	D3G (srmR homolog)
+INH	katG	Gagneux S PLOS Path 2006	281	GAC/GGC	94	Asp/Gly											
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	281	GAC/GCC	94	Asp/Ala											
+INH	katG	Chan RCY JAC 2007	?	GGC/TGC	96	Gly/Cys	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	296	GGG/GAG	99	Gly/Glu											
+INH	katG	Rouse et al MM 1996	311	CGG/CTG	104	Arg/Leu	1996	INH-resistant clinical isolates and in vitro mutants of katG in mtb					>500	N.S.	n/a	100 fold reduction in peroxidase activity	
+INH	katG	Gagneux S PLOS Path 2006	311	CGG/CAG	104	Arg/Gln											
+INH	katG	Gagneux S PLOS Path 2006	317	GCG/GTG	106	Ala/Val											
+INH	katG	Gagneux S PLOS Path 2006	319	TGG/CGG or TGG/AGG	107	Trp/Arg											
+INH	katG	Baker LV AAC 2005	321	TGG/TGA	107	Trp/STOP	1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array,  Sequencing	Whole gene	H,HS,HE,HSE,MDR	ratio>=4	Resistance ratio method	202/378	1/0	ahpC-30T
+INH	katG	Rouse et al MM 1996	322	CAC/GAC	108	His/Asp	1996	INH-resistant clinical isolates and in vitro mutants of katG in mtb						N.S	n/a		
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	322,324	CAC/GAA or CAC/GAG	108	His/Glu											
+INH	katG	Rouse DA AAC 1995	324	CAC/CAG	108	His/Gln	1995	Washington D.C, Bethesda, South Korea	USA, South Korea	PCR-SSCP, Sequencing	Whole gene	H	50	Absolute concentration method	26/26	1/0	
+INH	katG	Gagneux S PLOS Path 2006	326	GCT/GTT	109	Ala/Val											
+INH	katG	Wei CJ AAC 2003	329	GCC/GTC	110	Ala/Val	2003					H					
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	?	del	113	Frameshift?											
+INH	katG	Lavender C AAC 2005	350	GAC/GCC	117	Asp/Ala	2001-2003	Victorian Infectious Diseases Reference Laboratory	Australia	Sequencing	Whole gene	HR	0.4 ug/ml I	BACTEC 	52/104	1/0	
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	?	del	120	Frameshift?											
+INH	katG	Heym B MolMicro 1995	358-369	del	120-123	del	1995	Isolates from Pitries hospital in France 1991-92	Yugoslavia	PCR-SSCP, Sequencing	Whole gene	H		Proportion method	34/37	2/0	
+INH	katG	Gagneux S PLOS Path 2006	361	GGC/TGC	121	Gly/Cys											
+INH	katG	Marttila HJ AAC 1998	362	GGC/GTC	121	Gly/Val	1993-1995	Clinical isolates	Russia	Sequencing.	Whole gene	HR	N/A	Proportion method	24/27	1/0	Asp516Val in rpoB
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	?	del	122	Frameshift?											
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	?	del	123	Frameshift?											
+INH	katG	Ramaswamy SV AAC 2003	372	ins G	124	Frameshift		38 epidemiologically unrelated INH-monoresistant and 86 INH-susceptible isolates	USA, Mexico	Sequencing			>256	BACTEC 460, E-test	38/121	1/0	G-9A (oxyR-ahpC)
+INH	katG	Chan RCY JAC 2007	373	GGC/TGC	125	Gly/Cys	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Heym B MolMicro 1995	373-375	ins CAT	125	ins His	1995	Isolates from Pitries hospital in France 1991-92	Yugoslavia	PCR-SSCP, Sequencing	Whole gene	H		Proportion method	34/37	1/0	
+INH	katG	Cockerill FR JID 1995	378	ATG/ATT, ATG/ATC or ATG/ATA	126	Met/Ile	1995	clinical strains of mtb	USA, Japan	Sequencing	Whole gene		".025; catalase 14 mm"	Proportion method		1/0	"A65T; A66P; A243S; N258S; A264T; Y337F"
+INH	katG	Chan RCY JAC 2007	380	CAG/CCG	127	Gln/Pro	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Fang Z JCM 1999	384	CGG/CCG	128	Arg/Pro	1990-1997	Scottish Mycobacterial refererence lab	United Kingdom	PCR-SSCP, Sequencing	2268-2288&2595-2615,  2781-2801&3115-3135, 3366-3386& 3633-3653, 3661-3681& 3973-3993	H,E,R,P,Rifa,Cip,Ami,S,Proth		BACTEC 460	10/715	1/0	Leu511Pro rpoB
+INH	katG	Hazbon MH AAC 2006	412	AAC/CAC	138	Asn/His	2006	Australia, Colombia India, Mexica, New York city, Spain & Texas	USA, Spain	HP asay, molecular beacon assay,  Sequencing		H	0.2ug/ml proportion method, 0.1 for BACTEC methods	Proportion method, BACTEC MGIT 960, BACTEC 460	403/1111	1/0	
+INH	katG	Hazbon MH AAC 2006	412	AAC/GAC	138	Asn/Asp	2006	Australia, Colombia India, Mexica, New York city, Spain & Texas	USA, Spain	HP asay, molecular beacon assay,  Sequencing		H	0.2ug/ml proportion method, 0.1 for BACTEC methods	Proportion method, BACTEC MGIT 960, BACTEC 460	403/1111	2/0	
+INH	katG	Hazbon MH AAC 2006	413	AAC/AGC	138	Asn/Ser	2006	Australia, Colombia India, Mexica, New York city, Spain & Texas	USA, Spain	HP asay, molecular beacon assay,  Sequencing		H	0.2ug/ml proportion method, 0.1 for BACTEC methods	Proportion method, BACTEC MGIT 960, BACTEC 460	403/1111	1/0	
+INH	katG	Morlock GP AAC 2003	413	AAC/ACC	138	Asn/Thr	2003	USA,Russia, Brazil	USA, Russia, Brazil	Sequencing	Whole gene	H	>32ug/ml	Microplate alamar blue assay method	17/41	1/0	
+INH	katG	Wei CJ AAC 2003	415	GCC/CCC	139	Ala/Pro	2003										
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	418-419?	AGC/GCC?	140	Ser/Ala											
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	419	AGC/AAC	140	Ser/Asn	2006	Australia, Colombia India, Mexica, New York city, Spain & Texas	USA, Spain	HP asay, molecular beacon assay,  Sequencing			0.2ug/ml proportion method, 0.1 for BACTEC methods	Proportion method, BACTEC MGIT 960, BACTEC 460	403/1111	9/0	
+INH	katG	Secondary Publication: Hazbon MH AAC 2006	418	AGC/GGC	140	Ser/Gly											
+INH	katG	Hai Hua Lin TubercRespirDis 2007	420	AGC/AGA	140	Ser/Arg	2004		South Korea	Sequencing	Whole gene	MDR	N.S.	N.S	29/29	1/0	katG N238K
+INH	katG	Sekigushi J JCM 2007	423	TTG/TTC	141	Leu/Phe	2007	Japan & Poland	Japan, Poland	Sequencing	Whole gene			Proportionmethod, BACTEC MGIT 960	38/138	2/0	
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	425	GAC/GCC	142	Asp/Ala											
+INH	katG	Gagneux S PLOS Path 2006	428	AAG/ACG	143	Lys/Thr											
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	443	CTG/GCG	148	Leu/Ala											
+INH	katG	Rouse et al MM 1996	443	CTG/CGG	148	Leu/Arg	1996	INH-resistant clinical isolates and in vitro mutants of katG in mtb						N.S.	n/a		
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	See Note	CCG/GCG?? See Note	150	Leu/Ala Error? See Note											
+INH	katG	Marttila HJ AAC 1998	464	TAC/TCC	155	Tyr/Ser	1993-1995	Russia	Russia	Sequencing.	Whole gene	HRSK	1 ug/ml I, 5 ug/ml R 	Proportionmethod	24/27	1/0	Arg463Leu katG,     Ser 531Leu rpoB
+INH	katG	Gagneux S PLOS Path 2006	464	TAC/TGC	155	Tyr/Cys	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	3
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	479	TCA/TTA	160	Ser/Leu											
+INH	katG	Gagneux S PLOS Path 2006	484	GCG/ACG	162	Ala/Thr											
+INH	katG	Cockerill FR JID 1995	506	GGC/GCC	169	Gly/Ala	1995	Isolates from the Mayo Clinic	USA	Sequencing.	Whole gene	H	1ug/ml	Proportion method		1/0	Pro2Ser, Ser17Asn, Met126Ile,  Gln224Glu, Ala264Val, Ala281Val, Try337Cys, Arg463Leu
+INH	katG	Secondary Publication: Hazbon MH AAC 2006	514	GCG/ACG	172	Ala/Thr	2006	Australia, Colombia India, Mexica, New York city, Spain & Texas	USA, Spain	HP asay, molecular beacon assay,  Sequencing		H	0.2ug/ml proportion method, 0.1 for BACTEC methods	Agar Proportion method, BACTEC MGIT 960, BACTEC 460	403/1111	2/0	
+INH	katG	Chan RCY JAC 2007	515	GCG/GTG	172	Ala/Val	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Chan RCY JAC 2007	528	ATG/ATA	176	Met/Ile	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	3
+INH	katG	Secondary Publication: Hazbon MH AAC 2006	539	ACG/AAG	180	Thr/Lys											
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	See Note	ACG/???	180	Thr/Cys											
+INH	katG	Chan RCY JAC 2007	557	GGC/GTC	186	Gly/Val	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Chan RCY JAC 2007	556-557	GGC/CAC	186	Gly/His	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Baker LV AAC 2005	571	TGG/CGG	191	Trp/Arg	1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array,  Sequencing	Whole gene	H,HS,HE,HSE,MDR	ratio>=4	Resistance ratio method	202/378	1/0	
+INH	katG	Chan RCY JAC 2007	572	del G	191	Frameshift	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Morlock GP AAC 2003	583	G/A	195	Glu/Lys	2003	USA,Russia, Brazil	USA	Sequencing	Whole gene	Eth	1	Microplate alamar blue assay	17/41	0/1	nt 280 T/G inh ORF
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	594	TGG/TGA	198	Trp/STOP											
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	598	AAG/TAG	200	Lys/STOP											
+INH	katG	Abe C JCM 2008			204	Trp/Arg	Published in 2008		Japan	Sequencing	Whole gene	H		MGIT 960	96/96	1/0	
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	?	ins	217	Frameshift?											
+INH	katG	Chan RCY JAC 2007	654	AAC/AAA	218	Asn/Lys	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Cockerill FR JID 1995	670	CAG/GAG	224	Gln/Glu	1995	clinical strains of mtb	USA, Japan	Sequencing	Whole gene		"1; catalase 8 mm"	Proportionmethod		1/0	Pro2Ser, Ser17Asn, Met126Ile, Gly169Ala, Ala264Val, Ala281Val, Try337Cys, Arg463Leu
+INH	katG	Cockerill FR JID 1995	670	CAG/GAG	224	Gln/Glu	1995	Isolates from the Mayo Clinic	USA	Sequencing	Whole gene	H	<0.12-1ug/ml	Proportion method		39815	Ala424Glu, Pro429Ser
+INH	katG	Ghiladi RA J Am Chem Soc 2005 	686	TAC/TTC	229	Tyr/Phe											
+INH	katG	Chan RCY JAC 2007	689	GTG/GCG	230	Val/Ala	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Baker LV AAC 2005	701	GGG/GAG	234	Gly/Glu	1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array,  Sequencing	Whole gene	H,HS,HE,HSE,MDR	ratio>=4	Resistance ratio method	202/378	1/0	
+INH	katG	Chan RCY JAC 2007	700	GGG/AGG	234	Gly/Arg	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Chan RCY JAC 2007	707	AAC/ACC	236	Asn/Thr	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Hai Hua Lin TubercRespirDis 2007	714	AAC/AAG	238	Asn/Lys	2004		South Korea	Sequencing	Whole gene	MDR	N.S.	N.S	29/29	1/0	katG S140R
+INH	katG	Baker LV AAC 2005	723	CCC/CCG	241	Pro/Pro	1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array,  Sequencing	Whole gene	H,HS,HE,HSE,MDR	ratio>=4	Resistance ratio method	202/378	2/0	
+INH	katG	Cockerill FR JID 1995	727	GCC/TCC	243	Ala/Ser	1995	clinical strains of mtb	USA, Japan	Sequencing	Whole gene		"0.12; catalase 28mm"	"Middlebrook 7H11 agar; 1% Proportion method"		1/0	Pro2Ser, Ser17Asn, Gly19Asp, Gln224Glu, Ala550Asp
+INH	katG	Ramaswamy SV J Med Micro 2004	745	CGC/TGC	249	Arg/Cys	1996-1998	Jose Gonzalez hospital Mexico	Mexico	Directed Oligonucleotide array,  Sequencing	codon 228-357	HRSE	>=1% growth 0.2ug/ml I, 40ug/ml R, 4ug/ml S, 2ug/ml E	Proportion method	37/50	2/0	His445Tyr rpoB, Lys43Arg rpsL, Met306Ile embB 
+INH	katG	Gagneux S PLOS Path 2006	752	ACG/ATG	251	Thr/Met											
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	754	TTT/CTT	252	Phe/Leu											
+INH	katG	Sekigushi J JCM 2007	770	ATG/ACG	257	Met/Thr	2007	Japan & Polan	Japan, Poland	Multiplex  Sequencing	Whole gene			Middlebrook 7H10 agar medium method Ogawa egg based medium method, Rapid broth method(BACTEC)	38/138	1/0	R463L V780P katG, -15C/T upstream of mabA
+INH	katG	Lavender C AAC 2005	771	ATG/ATT	257	Met/Ile	2001-2003	Victorian Inf DiseaseReference Lab	Australia	Multiplex allele specific PCR Assay	Whole gene	HR	0.1ug/ml I, 1ug/ml R	BACTEC MGIT960	52/104	1/0	
+INH	katG	Cockerill FR JID 1995	773	AAC/AGC	258	Asn/Ser	1995	Isolates from the Mayo Clinic	USA	Sequencing.	Whole gene	H	0.25ug/ml	Proportion method		0/1	Pro2Ser, Ala65Thr, Ala66Pro, Met126Ile, Ala243Ser, Ala264Thr, Tyr337Phe
+INH	katG	Rouse DA AAC 1995	785	ACA/AGA	262	Thr/Arg	1995	washington DC, Bethesda, South Korea, 	USA, South Korea	PCR-SSCP, Sequencing	Whole gene	H	1 ug/ml	Absolute concentration method	26/26	1/0	
+INH	katG	Cockerill FR JID 1995	790	GCG/ACG	264	Ala/Thr	1995	clinical strains of mtb	USA, Japan	Sequencing	Whole gene		"0.25; catalase 14mm"	"Middlebrook 7H11 agar; 1% Proportion method"		1/0	Pro2Ser, Ala65Thr, Ala66Pro, Met126Ile, Ala243Ser, Asn258Ser, Tyr337Phe
+INH	katG	Chan RCY JAC 2007		del G	268	Frameshift	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Pretorius GS AAC 1995	820	ACC/GCC	275	Thr/Ala	1995	South Africa Switzerland, USA	South Africa, Switzerland	PCR-SSCP, Sequencing	Whole gene?	HR,HRSEEryB	10 & >2.5 ug/ml	Agar dilution method	39/69	2/0	
+INH	katG	Heym B MolMicro 1995	823	ACC/CCC	275	Thr/Pro	1995	Isolates from patients of Pitie Salpietre hospital in France during 1991-92	France	PCR-SSCP, Sequencing	Whole gene	HMDR	> 10 ug/ml	Proportion method	34/37	1/0	
+INH	katG	Ramaswamy SV J Med Micro 2004	823	ACC/TCC	275	Thr/Ser	1996-1998	Jose Gonzalez hospital Mexico	Mexico	Directed Oligonucleotide array, Sequencing	codon 228-357	HR	>=1% growth 0.2ug/ml I, 40ug/ml R, 4ug/ml S, 2ug/ml E	Proportion method	37/50	1/0	His445Asp rpoB, 
+INH	katG	Morlock GP AAC 2003	836	GGC/GAC	279	Gly/Asp	2003	United States, Russia, Brazil	Brazil	Sequencing	fragment encompassing codons 249 to 342	HEth	>32 I, >200 Eth	Microplate alamar blue assay	17/41	1/0	D55/A ethA,L44L inhA ORF, C(-15)T inhA regulator
+INH	katG	Gagneux S PLOS Path 2006	839-840	CCG/CAT or CCG/CAC	280	Pro/His											
+INH	katG	Cockerill FR JID 1995	842	GCC/GTC	281	Ala/Val	1995	Isolates from the Mayo Clinic	USA	Sequencing	Whole gene	H	1ug/ml	Proportion method		1/0	Pro2Ser, Ser17Asn, Met126Ile, Gly169Ala, Gln224Glu, Ala264Val, Try337Cys, Arg463Leu
+INH	katG	Abe C JCM 2008	854	GGC/GAC	285	Gly/Asp	Published in 2008		Japan	Sequencing	Whole gene	H		MGIT 960	96/96	1/0	
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	?	ins	289	Frameshift?											
+INH	katG	Chan RCY JAC 2007	867	GAG/GAC	289	Glu/Asp	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Fang Z JCM 1999	871	GCT/CCT	291	Ala/Pro	1990-1997	Scottish Mycobacterial refererence lab	United Kingdom	PCR-SSCP, Sequencing		HR		BACTEC 	10/715	1/0	His 526Tyr rpoB
+INH	katG	Sekigushi J JCM 2007	884	CAG/CCG	295	Gln/Pro	2007	Japan & Poland	Poland	Sequencing	Whole gene			Proportion method, BACTEC	38/138	1/0	
+INH	katG	Sekigushi J JCM 2007	890	GGC/GTC	297	Gly/Val	2007	Japan & Poland	Poland	Sequencing	Whole gene			Proportion method, BACTEC	38/138	1/0	
+INH	katG	Chan RCY JAC 2007	895	GGC/TGC	299	Gly/Cys	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Huang WL JCM 2009	896	GGC/GCC	299	Gly/Ala	2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+INH	katG	Lee ASG AAC 1999		TGG/TAA or TGG/TAG or TGG/TGA	300	Trp/STOP	1994-1996	Central Tuberculosis Lab, Singapore	Singapore	Sequencing	Whole gene	H	0.1 ug/ml	BACTEC 460	160/192		
+INH	katG	Marttila HJ AAC 1996	898	TGG/GGG	300	Trp/Gly	1989-1995	Finland	Finland	Sequencing	Whole gene	H	1 ug/ml	Disk elution method	54/56	1/0	
+INH	katG	Gagneux S PLOS Path 2006	901-902	ins T	301	Frameshift											
+INH	katG	Cockerill FR JID 1995	906	AGC/AGG	302	Ser/Arg	1995	Isolates from the Mayo Clinic	USA	Sequencing	Whole gene	H	8ug/ml	Proportion method		1/0	Ser315Thr and Arg463Leu in katG.
+INH	katG	Bolotin S JAC 2009	911	TAT/TCT	304	Tyr/Ser	1999-2001	Ontario Agency for Health Protection and Promotion	Canada	Sequencing	codon 250-500	H, HR		MGIT 960	154/504	1/0	
+INH	katG	Bostanabad SZ Tuberk Torak 2007	913	GGC/GCC	305	Gly/Ala	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	3/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Bostanabad SZ Tuberk Torak 2007	919	GGA/CGA	307	Gly/Arg	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	1/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Bostanabad SZ Tuberk Torak 2007	920	GGA/GCA	307	Gly/Ala	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	2/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Ramaswamy SV J Med Micro 2004	920	GGA/GAA	307	Gly/Glu	1996-1998	Jose Gonzalez hospital Mexico	Mexico	Directed Oligonucleotide array, Sequencing	codon 228-357	HRSE	>=1% growth 0.2ug/ml I, 40ug/ml R, 4ug/ml S, 2ug/ml E	Proportion method	37/50	1/0	Ser450Leu rpoB, 
+INH	katG	Khadka DK Southest Asian J Trop Med Public Health 2007	922	ACC/CCC	308	Thr/Pro	2007	Sirirraj hospital Bangkok, Chest Disease Institute, Nonthaburi	Bangkok	PCR-SSCP, Sequencing	894 bp fragment encompassing codons 254 to 549	HRSEO			29/30	1/0	Arg463Leu katG, C(-15)T inhA
+INH	katG	Bostanabad SZ Tuberk Torak 2007	926	GGT/GTT	309	Gly/Cys	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	2/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Bostanabad SZ Tuberk Torak 2007	926	GGT/GCT	309	Gly/Ser	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	2/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Kim SY Diagn Micro Inf Dis 2003	926	GGT/GAT	309	Gly/Asp	200-2002	Korean Institute of TB, Neodin Medical instittue, Kangman st Mary hosptial in South Korea	South Korea	PCR-SSCP, Sequencing	210 bp fragment spanning codon 315	HR	0.2 ug/ml I 40 ug/ml R	Proportion method	71/97	2/0	inhA Ribosomal binding site C/T
+INH	katG	Bostanabad SZ Tuberk Torak 2007	926-927	GGT/GTC	309	Gly/Phe	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	2/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Huang WL JCM 2009	928-929	del A	310	Frameshift	2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+INH	katG	Bostanabad SZ Tuberk Torak 2007	931	GAC/TAC	311	Asp/Tyr	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	2/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Bostanabad SZ Tuberk Torak 2007	931-932	GAC/TTC	311	Asp/Phe	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	2/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Chan RCY JAC 2007	932	GAC/GGC	311	Asp/Gly	2007	Grantham Hosptial and Public Health Lab, Hongkong	Hong Kong	PCR-SSCP, Sequencing	703 bp fragment	HEP	1ug/ml I, 4ug/ml E, 100ug/ml P	Absolute concentration method, BACTEC MGIT 960	241/302	1/0	574Ser/Leu rpoB
+INH	katG	Zenteno-Cuevas R MemInstOswaldCruz 2009	933	GAC/GAG	311	Asp/Glu	2007		Mexico	Sequencing	codon 240-390 of katG	HREZ	N.S.	BACTEC 460	17/25	1/0	katG S315T
+INH	katG	Bostanabad SZ Tuberk Torak 2007	941	ACC/AAC	314	Ser/Asn	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	2/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Bostanabad SZ Tuberk Torak 2007	941-942	ACC/ACG	314	Ser/Thr	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	2/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Haas WA AAC 1997	943	AGC/CGC	315	Ser/Arg	1997	NationalTuberculosis Research program South Africa, Sierra Leone, Uganda	South Africa	PCR-RFLP	894 bp central fragment of katG?	H			124/212	1/0	
+INH	katG	Marttila HJ AAC 1996	943	AGC/CTA	315	Ser/Leu	1989-1995	Clinical isolates.	Finland	Sequencing	Whole gene	HS	>1ug/ml	Disk elution method.	17/19	1/0	katG Pro501Ala.
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	943	AGC/GGC	315	Ser/Gly											
+INH	katG	Musser JM JID 1996	944	AGC/ACC	315	Ser/Thr											
+INH	katG	Haas WA AAC 1997	944	AGC/ATC	315	Ser/Ile	1997	NationalTuberculosis Research program South Africa, Sierra Leone, Uganda	Sierra Leone, Lesotho	PCR-RFLP	892 bp central fragment	HRSEth,H			124/212	4/0	
+INH	katG	Haas WA AAC 1997	944	AGC/AAC	315	Ser/Asn	1997	NationalTuberculosis Research program South Africa, Sierra Leone, Uganda	Free state, Gauteng, Sierra leone	PCR-RFLP	890 bp fragment	H,HRE,HR			124/212	9/0	
+INH	katG	Heym B MolMicro 1995	944	AGC/ACC	315	Ser/Thr	1995	Isolates from patients of Pitie Salpietre hospital in France during 1991-92	Mali Ivory coast, France	PCR-SSCP, Sequencing	Whole gene	H	1 in 4 and >5 in 1	Proportional method	34/37	5/0	
+INH	katG	Marttila HJ AAC 1996	944-945	AGC/ACA	315	Ser/Thr	1989-1995	Finland	Finland	Sequencing	Whole gene	HS,HRS	1 ug/ml for I 	Disk elution method.	54/56	2/0	 nt1501G/C katG in one
+INH	katG	Gagneux S PLOS Path 2006	944-945	AGC/ACG	315	Ser/Thr											
+INH	katG	Lipin MY CMI 2007	945	AGC/AGA	315	Ser/Arg	1998-2001	Tula & Serpokov district, Moscow	Russia	Sequencing	nt 872-1568	HRS	1 ug/ml I, 5 ug/ml S, 20ug/ml R	Absolute concentration method	217/217	2/0	335 /GTC katG in one
+INH	katG	Secondary Publication: Hazbon MH AAC 2006	945	AGC/AGG	315	Ser/Arg											
+INH	katG	Bostanabad SZ Tuberk Torak 2007	946	GGC/AGC	316	Gly/Ser	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	18/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Secondary Publication: Hazbon MH AAC 2006	947	GGC/GAC	316	Gly/Asp											
+INH	katG	Chan RCY JAC 2007	949	ATC/CTC	317	Ile/Leu	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	2
+INH	katG	Zenteno-Cuevas R MemInstOswaldCruz 2009	953-954	GAG/GTA	318	Gly/Val	2007		Mexico	Sequencing	codon 240-390 of katG	HRSEZ	N.S.	BACTEC 460	17/25	1/0	katG S315T
+INH	katG	Chan RCY JAC 2007	961	TGG/CGG	321	Trp/Arg	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	3
+INH	katG	Bostanabad SZ Tuberk Torak 2007	961	TGG/TAG	321	Trp/STOP	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	2/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Bostanabad SZ Tuberk Torak 2007	962	TGG/TTG	321	Trp/Leu	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	2/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Bostanabad SZ Tuberk Torak 2007	962-963	TGG/TCC	321	Trp/Ser	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	1/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Bostanabad SZ Tuberk Torak 2007	963	TGG/TGT	321	Trp/Cys	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	1/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	No publication listed	970	ACC/CCC	324	Thr/Pro											
+INH	katG	Musser JM JID 1996	982	TGG/GGG	328	Trp/Gly	1996	USA,Brazil, Rwanda, Belgium, Yemen, Japan, Philippines, Netherlands, Hongkong, Mexico		Sequencing	Whole gene	HR	>=1ug/ml for I	Proportion method 	34/46	1/0	
+INH	katG	Haas WA AAC 1997	983	TGG/TTG	328	Trp/Leu	1997	NationalTuberculosis Research program South Africa, Sierra Leone, Uganda	Free state, Lesotho, Eastern Cape, Natal, Swaziland, Gauteng	PCR-RFLP	894 bp central fragment of katG	H			124/212	1/0	
+INH	katG	Boonaiam S CMI 2009	984	TGG/TCG	328	Trp/Ser	2005-2006	Molecular Mycology and Mycobacteriology Laboratory	Thailand	Sequencing	Whole gene	MDR	>=1ug/ml for I	Disk elution method	160/170	1/0	
+INH	katG	Haas WA AAC 1997	984	TGG/TGC	328	Trp/Cys	1997	NationalTuberculosis Research program South Africa, Sierra Leone, Uganda	Free state, Lesotho, Eastern Cape, Natal, Swaziland, Gauteng	PCR-RFLP	894 bp central fragment of katG	H			124/212	1/0	
+INH	katG	Bostanabad SZ Tuberk Torak 2007	984	TGG/TGT	328	Trp/Cys	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	4/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Zenteno-Cuevas R MemInstOswaldCruz 2009	991	AGT/TGT	331	Ser/Cys	2007		Mexico	Sequencing	codon 240-390 of katG	HRS	N.S.	BACTEC 460	17/25	1/0	katG S315T
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	See Note		334	Ile/Thr Error											
+INH	katG	Rouse DA AAC 1995	1004	ATC/ACC	335	Ile/Thr											
+INH	katG	Lipin MY CMI 2007	1003	ATC/GTC	335	Ile/Val	1998-2001	Tula & Serpokov district, Moscow	Russia	Sequencing	nt 872-1568	HRS	1 ug/ml I, 5 ug/ml S, 20ug/ml R	Absolute concentration method	217/217	1/0	315 AGC/AGA katG
+INH	katG	Lee ASG AAC 1999	1007	CTG/CGG	336	Leu/Arg											
+INH	katG	Cockerill FR JID 1995	1010	TAC/TTC	337	Tyr/Phe	1995	Isolates from the Mayo Clinic	USA	PCR, RFLP,  Sequencing.	Whole gene	H	0.25ug/ml	Proportion method			Pro2Ser, Ala65Thr, Ala66Pro, Met126Ile, Ala243Ser, Asn258Ser, Ala264Thr
+INH	katG	Cockerill FR JID 1995	1010	TAC/TGC	337	Tyr/Cys	1995	Isolates from the Mayo Clinic	USA	PCR, RFLP,  Sequencing.	Whole gene	H	1ug/ml	Proportion method		1/0	Arg429Leu, Trp505Arg, Met609Ile
+INH	katG	Morlock GP AAC 2003	1022	TGG/TCG	341	Trp/Ser	2003	USA, Brazil, Russia	Brazil	Sequencing	fragment encompassing codons 249 to 342	HEth	5o Eth, >32 I	Microplate alamar blue assay	17/41	1/0	4463S ethA, C(-15)T inhA regulator
+INH	katG	Gagneux S PLOS Path 2006	1034	AAG/ACG	345	Lys/Thr											
+INH	katG	Chan RCY JAC 2007		del G	346	Frameshift	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	2
+INH	katG	Rouse et al MM 1996	1048	GCT/ACT	350	Ala/Thr	1996	INH-resistant clinical isolates and in vitro mutants of katG in mtb						N.S.	n/a		
+INH	katG	Rouse DA AAC 1995	1048	GCT/TCT	350	Ala/Ser	1995	Washington D.C Bethesda South Korea		PCR SSCP  	Whole gene	H	1 ug/ml	Absolute concentration method	26/26	1/0	
+INH	katG	Boonaiam S CMI 2009	1054	CAA/TAA	352	Gln/STOP	2005-2006	Molecular Mycology and Mycobacteriology Laboratory	Thailand	Sequencing	Whole gene	MDR	>=1ug/ml for I	Disk elution method	160/170	1/0	
+INH	katG	Bostanabad SZ Tuberk Torak 2007	1069	GAC/CAC	357	Asp/His	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	1/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Bostanabad SZ Tuberk Torak 2007	1069	GAC/AAC	357	Asp/Asn	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	1/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Huang WL JCM 2009	1082	GCC/GAC	361	Ala/Asp	2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+INH	katG	Huang WL JCM 2009	1091	del T	364	Frameshift	2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+INH	katG	Huang WL JCM 2009	1133	CTG/CCG	378	Leu/Pro	2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+INH	katG	Huang WL JCM 2009	1136	GCC/GTC	379	Ala/Val	2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+INH	katG	Chan RCY JAC 2007	1139	ACT/ATT	380	Thr/Ile	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	2
+INH	katG	Rouse et al MM 1996	1142	GAC/GGC	381	Asp/Gly	1996	INH-resistant clinical isolates and in vitro mutants of katG in mtb						N.S.	n/a		
+INH	katG	Gagneux S PLOS Path 2006	1151	CTG/CGG	384	Leu/Arg											
+INH	katG	Chan RCY JAC 2007	1169	ACT/ATT	390	Thr/Ile	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	2
+INH	katG	Sekigushi J JCM 2007	1170	ins CTA	390	ins Leu	2007	Japam & Poland	Japan	Sequencing	Whole gene			Proportion method, BACTEC	38/138	2/0	
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	1178	ATC/AAC	393	Ile/Asn											
+INH	katG	Gagneux S PLOS Path 2006	1180	ACG/GCG	394	Thr/Ala											
+INH	katG	Secondary Publication: Hazbon MH AAC 2006	1191	TGG/TAG	397	Trp/STOP											
+INH	katG	Huang WL JCM 2009		del C	401	Frameshift	2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+INH	katG	Pretorius GS AAC 1995	1225-1226	GCC/CGC	409	Ala/Arg	1995	USA, Switzerland, South Africa	South Africa	PCR-SSCP, Sequencing		HRSEryB	2.5 ug/ml	Agar dilution method	39/69	1/0	
+INH	katG	Chan RCY JAC 2007	1226	GCC/GAC	409	Ala/Asp	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	2
+INH	katG	Huang WL JCM 2009	1237	TAC/CAC	413	Tyr/His	2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+INH	katG	Bolotin S JAC 2009	1242	AAG/AAC	414	Lys/Asn	1999-2001	Ontario Agency for Health Protection and Promotion	Canada	Sequencing	codon 250-500	H, HR		MGIT 960	154/504	1/0	
+INH	katG	Ghiladi RA J Am Chem Soc 2005 	1253	CGA/CTA	418	Arg/Leu											
+INH	katG	Mo L Microb Drug Res 2004 	1253	CGA/CAA	418	Arg/Gln											
+INH	katG	Huang WL JCM 2009	1255	GAC/CAC	419	Asp/His	2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+INH	katG	Cockerill FR JID 1995	1271	GCG/GAG	424	Ala/Glu	1995	Isolates from the Mayo Clinic	USA	PCR, RFLP,  Sequencing.	Whole gene	H	<0.12ug/ml	Proportion method		0/1	Gln224Glu and Pro429Ser in katG.
+INH	katG	Cockerill FR JID 1995	1271	GCG/GTG	424	Ala/Val	1995	Isolates from the Mayo Clinic	USA	PCR, RFLP,  Sequencing.	Whole gene	H	>32ug/ml	Proportion method		1/0	8-bp deletion in codon 10 + Ala550Asp in katG.
+INH	katG	Cockerill FR JID 1995	1285	CCG/TCG	429	Pro/Ser	1995	Isolates from the Mayo Clinic	USA	PCR, RFLP,  Sequencing.	Whole gene	H	<0.12ug/ml	Proportion method		0/1	Gln224Glu and Ala 424Glu in katG.
+INH	katG	Ramaswamy SV AAC 2003	1300	CAG/TAG	434	Gln/STOP		38 epidemiologically unrelated INH-monoresistant and 86 INH-susceptible isolates	USA, Mexico	Sequencing			>256	"BACTEC radiometric method (0.1ug/ml); E-test"	38/121	1/0	V163I (Rv0340)
+INH	katG	Zhang M J Clin Microb 2005	1329	ins A	438	Frameshift	2005	Clinical isolates	China	"IS6110-based RFLP; Sequencing."	Whole gene	H		BACTEC MGIT 960	1/87	1/0	"Arg463Leu in katG; also 1 mutation in oxy-ahpC, and 1 in efpA."
+INH	katG	Hai Hua Lin TubercRespirDis 2007	1330	GCG/ACG	444	Ala/Thr	2004		South Korea	Sequencing	Whole gene	MDR	N.S.	N.S	29/29	1/0	None
+INH	katG	Doustdar F MDR 2008	1345	CTC/TTC	449	Leu/Phe	2005-2006		Iran	Sequencing	250bp around 315 and 212 bp around 463, 238bp of inhA and 293bp of ahpC	H	N.S.	Proportion method	48/93	1/0	None
+INH	katG	Bostanabad SZ Tuberk Torak 2007	1360	GAG/CGA	454	Glu/Arg	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	2/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Bolotin S JAC 2009	1370	AGC/ATC	457	Ser/Ile	1999-2001	Ontario Agency for Health Protection and Promotion	Canada	Sequencing	codon 250-500	H, HR		MGIT 960	154/504	1/0	
+INH	katG	Hai Hua Lin TubercRespirDis 2007	1385	ATC/ACC	462	Ile/Thr	2004		South Korea	Sequencing	Whole gene	MDR	N.S.	N.S	29/29	1/0	inhA -15 (C/T)
+INH	katG	Heym B MolMicro 1995	1389	CGG/CTG	463	Arg/Leu											
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	1431	TGG/TGA	477	Trp/STOP											
+INH	katG	Baker LV AAC 2005	1450	CGT/AGT	484	Arg/Ser	1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array,  Sequencing	Whole gene	H,HS,HE,HSE,MDR	ratio>=4	Resistance ratio method	202/378	1/0	
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	1454	GGT/GTT	485	Gly/Val											
+INH	katG	Marttila HJ AAC 1996	1464	G/C	488	Lys/Asn	1989-1995	Clinical isolates.	Finland	PCR, Sequencing.	Whole gene	H	>1ug/ml	Disk elution method.	17/19	1/0	katG Gln295STOP
+INH	katG	Baker LV AAC 2005	1469	CGC/TGC	490	Arg/Cys	1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array,  Sequencing	Whole gene	H,HS,HE,HSE,MDR	ratio>=4	Resistance ratio method	202/378	1/0	
+INH	katG	Lavender C AAC 2005	1471	GGC/TGC	491	Gly/Cys	2001-2003	Victorian Inf DiseaseReference Lab	Australia	Multiplex allele specific PCR assay	Whole gene	H	0.4 ug/ml	BACTEC MGIT960 method	52/104	1/0	
+INH	katG	Hai Hua Lin TubercRespirDis 2007	1506	CAA/CAT	502	Gln/His	2004		South Korea	Sequencing	Whole gene	MDR	N.S.	N.S	29/29	1/0	inhA -15 (C/T)
+INH	katG	Abe C JCM 2008	1513	TGG/TCG	505	Trp/Ser	Published in 2008		Japan	Sequencing	Whole gene	H		MGIT 960	96/96	1/0	
+INH	katG	Cockerill FR JID 1995	1513	TGG/CGG	505	Trp/Arg	1995	Isolates from the Mayo Clinic	USA	PCR, RFLP,  Sequencing.	Whole gene	H	>32ug/ml	Proportion method		1/0	Tyr337Phe, Arg429Leu, Met609Ile
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	?	ins ?	511	Frameshift											
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	?	ins ?	513	Frameshift											
+INH	katG	Zhang M J Clin Microb 2005	1543	CGC/TGC	515	Arg/Cys	2005	Clinical isolates	China	Sequencing.	Whole gene	H	8ug/ml	BACTEC MGIT 960	87/137	1/0	Arg463Leu in katG.
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	?	ins ?	521	Frameshift											
+INH	katG	Zhang M J Clin Microb 2005	1559	ins 64bp	521	Frameshift	2005	Clinical isolates	China	Sequencing.	Whole gene	H	>256ug/ml	BACTEC MGIT 960	87/137	1/0	"Arg463Leu in katG; also 1 mutation in oxy-ahpC, and 1 in efpA."
+INH	katG	Marttila HJ AAC 1996	1574	CAG/CCG	525	Gln/Pro	1989-1995	Finland	Finland	Sequencing	Whole gene	H	0.4 ug/ml for I	disk elution method	54/56	1/0	
+INH	katG	Ramaswamy SV AAC 2003	1585	AAC/GAC	529	Asn/Asp	2003	Clinical isolates.	USA, Mexico, Central America, Southeast Asia, and Africa.	Sequencing	Whole gene	H	N/A	E-Test	38/124	1/0	katG Trp397Tyr, no other mutations in the 19 genes sequenced.
+INH	katG	Cockerill FR JID 1995	1649	GCC/GAC	550	Ala/Asp	1995	Isolates from the Mayo Clinic	USA	Sequencing.	Whole gene	H	0.12->32ug/ml	Proportion method			"R strain also Ala424Val; S strain also Gln224Glu,  Ala243Ser."
+INH	katG	Hai Hua Lin TubercRespirDis 2007	1652	GCC/GGC	551	Ala/Gly	2004		South Korea	Sequencing	Whole gene	MDR	N.S.	N.S	29/29	1/0	None
+INH	katG	Secondary Publication: Hazbon MH AAC 2006	1667	del C	556	Frameshift											
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	1700	TTC/TCC	567	Phe/Ser											
+INH	katG	Gagneux S PLOS Path 2006	1717	GAT/AAT	573	Asp/Asn											
+INH	katG	Secondary Publication: Hazbon MH AAC 2006	1721	GCG/GAG	574	Ala/Glu											
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	1721	GCG/GTG	574	Ala/Val											
+INH	katG	Secondary Publication: Hazbon MH AAC 2006	1759	CTG/ATG	587	Leu/Ile											
+INH	katG	Heym B MolMicro 1995	1759	CTG/ATG	587	Leu/Met	1995	Isolates from patients of Pitie Salpietre hospital in France during 1991-92	N.S.	PCR-SSCP, Sequencing	Whole gene	H	>5 ug/ml	Proportion method	39/39	1/0	
+INH	katG	Marttila HJ AAC 1996	1760	CTG/CCG	587	Leu/Pro	1989-1995	Finland	Finland	Sequencing	Whole gene	H	0.4ug/ml	disk elution method	54/56	1/0	
+INH	katG	Cockerill FR JID 1995	1765	CCC/ACC	589	Pro/Thr	1995	Isolates from the Mayo Clinic	USA	PCR, RFLP,  Sequencing.	Whole gene	H	32ug/ml	Proportion method		1/0	Arg429Leu, Ala264Thr in katG.
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	1778	GGC/GAC	593	Gly/Asp											
+INH	katG	Gagneux S PLOS Path 2006	1819	GAG/AAG	607	Glu/Lys											
+INH	katG	Cockerill FR JID 1995	1827	ATG/ATT, ATG/ATC or ATG/ATA	609	Met/Ile	1995	Isolates from the Mayo Clinic	USA	PCR, RFLP,  Sequencing.	Whole gene	H	<0.12-32ug/ml	Proportion method			"The 2 R isolates also had Arg463Leu + one other mutation each; the S isolate had no other mutations."
+INH	katG	Marttila HJ AAC 1996	1849	ins AC	617	Frameshift	1989-1995	Finland	Finland	Sequencing	Whole gene	H	1 ug/ml	disk elution method	54/56	1/0	
+INH	katG	Wei CJ AAC 2003	1856	CTC/CCC	619	Leu/Pro	2003										
+INH	katG	Rouse DA AAC 1995	1888	GGC/AGC	629	Gly/Ser	1995	WashingtonD.C, Bethesda, South Korea		PCR SSCP analysis	Whole gene	H	1ug/ml	Absolute concentration method	26/26	1/0	
+INH	katG	Wei CJ AAC 2003	1900	CTC/TTC	634	Leu/Phe	2003										
+INH	katG	Gagneux S PLOS Path 2006	1907	GCA/GAA	636	Ala/Glu											
+INH	katG	Gagneux S PLOS Path 2006	1958	CTG/CCG	653	Leu/Pro											
+INH	katG	Zhang M J Clin Microb 2005	2053	GGC/CGC	685	Gly/Arg	2005	Clinical isolates	China	Sequencing.	Whole gene	H	2ug/ml	BACTEC MGIT 960	1/87	1/0	Ser315Thr in katG.
+INH	katG	Pretorius GS AAC 1995	2084	GAC/GCC	695	Asp/Ala	1995	USA,South Africa, Switzerland	South Africa	PCR-SSCP, Sequencing		HRS	40	Agar dilution method	39/69	1/0	
+INH	katG	Baker LV AAC 2005	2096	GGG/GAG	699	Gly/Gln	1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array,  Sequencing	Whole gene	H,HS,HE,HSE,MDR	ratio>=4	Resistance ratio method	202/378	1/0	
+INH	katG	Marttila HJ AAC 1996	2098	TCC/CCC	700	Ser/Pro	1989-1995	Finland	Finland	Sequencing	Whole gene	H	1 ug/ml	disk elution method	54/56	1/0	
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	2129	GTC/GCC	710	Val/Ala											
+INH	katG	Secondary Publication: Hazbon MH AAC 2006	2137	GCC/CCC	713	Ala/Pro											
+INH	katG	Secondary Publication: Hazbon MH AAC 2006	2150	CAG/CCG	717	Gln/Pro											
+INH	katG	Rouse DA AAC 1995	2146	GCG/CCG	716	Ala/Pro	1995	WashingtonD.C, Bethesda, South Korea	USA, South Korea	PCR-SSCP	Whole gene	HRP	50ug/ml	Absolute concentration method	26/26	1/0	
+INH	katG	Ramaswamy SV J Med Micro 2004	2180	GCC/GAC	727	Ala/Asp	1996-1998	Jose Gonzalez Hospital Mexica	Mexico	Directed Oligonucleotide array,  Sequencing	codon 228-357	HRS	>=1% growth 0.2ug/ml I, 40ug/ml R, 4ug/ml S, 2ug/ml E	Proportion method	37/50	1/0	Ser450Leu rpoB, nt491C/T rrs, Met306Ile embB
+INH	katG	Gagneux S PLOS Path 2006	2184	TGG/TGT or TGG/TGC	728	Trp/Cys											
+INH	katG	Gagneux S PLOS Path 2006	2203-2205	del GAC	735	del Asp											
+INH	katG	Gagneux S PLOS Path 2006	2203	GAC/AAC	735	Asp/Asn											
+INH	katG	Wei CJ AAC 2003	2204	GAC/GCC	735	Asp/Ala	2003										
+																	
+																	
+	kasA																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	kasA	Mdluli K Science 1998	196	GAT/AAT	66	Asp/Asn	1998			Sequencing	Whole gene	H			28/71	1/0	not mentioned
+INH	kasA	Ramaswamy SV AAC 2003 	231	ATG/ATA	77	Met/Ile	2004	Jose Gonzalez tuberculosis clinic in Mexico	Mexico								
+INH	kasA	Lee ASG AAC 1999	362	AGG/AAG	121	Arg/Lys	1994-1996	Central Tuberculosis Lab, Singapore	Singapore	Sequencing	Whole gene	H	0.1ug/ml	BACTEC 460	160/192	1/0	present but not mentioned
+INH	kasA	Mdluli K Science 1998	805	GGT/AGT	269	Gly/Ser	1998			Sequencing	Whole gene	H			28/71	1/0	not mentioned
+INH	kasA	Mdluli K Science 1998	934	GGC/AGC	312	Gly/Ser				Sequencing	Whole gene	H			28/71	1/0	not mentioned
+INH	kasA	Lee ASG AAC 1999	1160	GGC/GAC	387	Gly/Asp	1994-1996	Central Tuberculosis Lab, Singapore	Singapore	Sequencing	Whole gene	H	0.1ug/ml	BACTEC 460	160/192	1/0	present but not mentioned
+INH	kasA	Mdluli K Science 1998	1239	TTC/TTA	413	Phe/Leu	1998			Sequencing	Whole gene	H	0.1ug/ml		28/71	1/0	not mentioned
+																	
+																	
+	ndh Rv1584c																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	ndh	Cardoso RF Mem Inst Oswaldo Cruz 2007	37	CGT/TGT	13	Arg/Cys	2006	Institute Adofe Lutz of Ribeirao Preto, Sorocaba, Institute Clemente Ferreira, Sao Paulo and Clinical Bacteriology Lab Parana	Brazil	Sequencing	Whole gene	H	>32ug/ml	Microplate alamar blue assay	24/36	1/0	S315T katG
+INH	ndh	Cardoso RF Mem Inst Oswaldo Cruz 2007	53	GTG/GCG	18	Val/Ala	2006	Institute Adofe Lutz of Ribeirao Preto, Sorocaba, Institute Clemente Ferreira, Sao Paulo and Clinical Bacteriology Lab Parana	Brazil	Sequencing	Whole gene	H	32ug/ml	Microplate alamar blue assay	24/36	1/0	insA at nt17 katG
+INH	ndh	Lee ASG AAC 2001	328	ACC/GCC	110	Thr/Ala	1994-1996	Central Tuberculosis Laboratory, Singapore General Hospital	Singapore	Sequencing	Whole gene	H		BACTEC 460 	84/106	1/0	none
+INH	ndh	?	716	CTG/CCG	239	Leu/Pro											
+INH	ndh	Lee ASG AAC 2001	804	CGC/CAC	268	Arg/His	1994-1996	Central Tuberculosis Laboratory, Singapore General Hospital	Singapore	Sequencing	Whole gene	H		BACTEC 460 	84/106	7/0	
+																	
+	oxyR-ahpC																
+																	
+	oxyR																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	OxyR	Sreevatsan S AAC 1997  (*)	331	A/C			1997		Brazil, Chile, Mexico, Venezuela, Kenya, Yemen, Philippines, Japan, Netherlands, Romania, USA  	Sequencing	Whole gene	H		Proportion method, BACTEC 460	70/181	only in susceptible	not mentioned
+INH	OxyR	Sreevatsan S AAC 1997  (*)	325	G/T			1997		Brazil, Chile, Mexico, Venezuela, Kenya, Yemen, Philippines, Japan, Netherlands, Romania, USA	Sequencing	Whole gene	H		Proportion method, BACTEC 460	70/181	1/0	not mentioned
+INH	OxyR	Sreevatsan S Escalante P JCM 1996  (*)	285	G/A			1996		Brazil, Chile, Ecuador, India, Trinidad-Tobago, Mongolia, Romania, Yugoslavia, Spain, Israel, Turkey, Guinea, Algeria, Kenya, Zaire, Somalia,  Mexico, Venezuela, Kenya, Yemen, Philippines, Japan, Netherlands, Romania, USA	Sequencing	410 bp of oxyR						
+INH	OxyR	Sreevatsan S AAC 1997  (*)	67	ins GGCG			1997		Brazil, Chile, Mexico, Venezuela, Kenya, Yemen, Philippines, Japan, Netherlands, Romania, USA	Sequencing	Whole gene			Proportion method, BACTEC 460	70/181	not mentioned	not mentioned
+INH	OxyR	Sreevatsan S AAC 1997  (*)	37	C/T			1997		Brazil, Chile, Mexico, Venezuela, Kenya, Yemen, Philippines, Japan, Netherlands, Romania, USA	Sequencing	Whole gene			Proportion method, BACTEC 460	70/181	found in both susceptible and resistant	not mentioned
+INH	OxyR	Lee ASG AAC 1999	28	C/A			1994-1996	Singapore Gnereal Hospital Pathology Lab	Singapore	Sequencing	promoter region of ahpC	H	0.1ug/ml	BACTEC 460	160/192	1/0	mostly S315T katG or inhA promoter mutation
+INH	OxyR	Lee ASG AAC 1999	27	G/T			1994-1996	Singapore Gnereal Hospital Pathology Lab	Singapore	Sequencing	promoter region of ahpC	H	0.1ug/ml	BACTEC 460	160/192	1/0	mostly S315T katG or inhA promoter mutation
+INH	OxyR	Lee ASG AAC 1999	18	G/A			1994-1996	Singapore Gnereal Hospital Pathology Lab	Singapore	Sequencing	promoter region of ahpC	H	0.1ug/ml	BACTEC 460	160/192	1/1	mostly S315T katG or inhA promoter mutation
+																	
+	OxyR-ahpC intergenic																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	OxyR-ahpC intergenic	Rindi L Int J Tuberc Lung Dis 2005	-74	G/A	-74		1994-2002	Clinical Mycobacterial Lab, Pisa and Regional reference centre ,Careggi Hospital	Italy	Sequencing	nt 583-819	36H,9MDR	0.1ug/ml	BACTEC 460	45/45	1/0	not mentiond
+INH	OxyR-ahpC intergenic	Huang WL JCM 2009	-66	G/A	-66		2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	2/0	not mentiond
+INH	OxyR-ahpC intergenic	Rindi L Int J Tuberc Lung Dis 2005	-54	C/T	-54		1994-2002	Clinical Mycobacterial Lab, Pisa and Regional reference centre ,Careggi Hospital	Italy	Sequencing	nt 583-819	36H,9MDR	0.1ug/ml	BACTEC 460	45/45	1/0	not mentiond
+INH	OxyR-ahpC intergenic	Gagneux S PLOS Path 2006	-54	ins ATGT	-54												
+INH	OxyR-ahpC intergenic	No Publication Listed	-52	C/T	-52												
+INH	OxyR-ahpC intergenic	Doustdar F MDR 2008	-49	T/G	-49		2005-2006		Iran	Sequencing	250bp around 315 and 212 bp around 463, 238bp of inhA and 293bp of ahpC	H	N.S.	Proportion method	48/93	1/0	None
+INH	OxyR-ahpC intergenic	Ramaswamy SV AAC 2003	-48	G/A	-48												
+INH	OxyR-ahpC intergenic	Lee ASG AAC 1999	-46	G/A	-46		1994-1996	Singapore Gnereal Hospital Pathology Lab	Singapore	Sequencing	oxyRahpC intergenic region 	H	0.1ug/ml	BACTEC 460	160/192	1/0	katG del/mut or inhA  mutation
+INH	OxyR-ahpC intergenic	Secondary Publication: Hazbon MH AAC 2006	-46	del G	-46												
+INH	OxyR-ahpC intergenic	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	-45	C/T	-45												
+INH	OxyR-ahpC intergenic	Sreevatsan S AAC 1997  (*)	-44	T/A	-44		1997		Brazil, Chile, Mexico, Venezuela, Kenya, Yemen, Philippines, Japan, Netherlands, Romania, USA	Sequencing	oxyRahpC intergenic region 			Proportion method, BACTEC 460	70/169	1/0	katG deletion
+INH	OxyR-ahpC intergenic	Silva MS JCM 2003	-40	T/C	-40		1996-1999	Lab Central Rio Grande  De Sul, Rio de Janeiro, Instituto Adolfo Lutz, Sao Paulo	Brazil	PCR-SSCP, Sequencing	oxyRahpC intergenic region 	H,HR,HRS,HRP,HS,HRE,HRES,HRESP		Proportion method	69/69	1/0	S315T kat G
+INH	OxyR-ahpC intergenic	Silva MS JCM 2003	-39	C/T	-39		1996-1999	Lab Central Rio Grande  De Sul, Rio de Janeiro, Instituto Adolfo Lutz, Sao Paulo	Brazil	PCR-SSCP, Sequencing	oxyRahpC intergenic region 	H,HR,HRS,HRP,HS,HRE,HRES,HRESP		Proportion method	69/69	2/0	none
+INH	OxyR-ahpC intergenic	Baker LV AAC 2005	-34	T/A	-34		1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array,  Sequencing	oxyRahpC intergenic region 	H,HS,HE,HSE,MDR	ratio>=1	Resistance ratio method	202/378	1/0	Arg463Leu katG
+INH	OxyR-ahpC intergenic	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	-34	T/C	-34												
+INH	OxyR-ahpC intergenic	Baker LV AAC 2005	-34	del T	-34		1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array, Sequencing	oxyR'-ahpC intergenic region 	H,HS,HE,HSE,MDR	ratio>=1	Resistance ratio method	202/378	1/0	S315T, Arg463Leu katG
+INH	OxyR-ahpC intergenic	Sreevatsan S AAC 1997  (*)	-32	G/A	-32		1997		Brazil, Chile, Mexico, Venezuela, Kenya, Yemen, Philippines, Japan, Netherlands, Romania, USA	Sequencing	oxyRahpC intergenic region 	H		BACTEC 460 radiometric method or Proportion method for MTB and Mafricanum isolates only	70/169	1/0	none
+INH	OxyR-ahpC intergenic	Huang WL JCM 2009	-32	C/T	-32		2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+INH	OxyR-ahpC intergenic	Lee ASG AAC 1999	-30	C/T	-30		1994-1996	Singapore Gnereal Hospital Pathology Lab	Singapore	Sequencing	oxyRahpC intergenic region 	H	0.1ug/ml	BACTEC 460	160/192	2/0	katG del/mut or inhA mut
+INH	OxyR-ahpC intergenic	Baker LV AAC 2005	-20	C/T	-20		1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array,  Sequencing	oxyRahpC intergenic region 	H,HS,HE,HSE,MDR	ratio>=1	resistance ratio method	202/378	1/0	none
+INH	OxyR-ahpC intergenic	Gagneux S PLOS Path 2006	-15	C/T	-15												
+INH	OxyR-ahpC intergenic	Lee ASG AAC 1999	-12	C/T	-12		1994-1996	Singapore Gnereal Hospital Pathology Lab									
+INH	OxyR-ahpC intergenic	Gagneux S PLOS Path 2006	-10	C/A	-10												
+INH	OxyR-ahpC intergenic	Gagneux S PLOS Path 2006	-10	C/T	-10												
+INH	OxyR-ahpC intergenic	Secondary Publication: Hazbon MH AAC 2006	-10	C/G	-10												
+INH	OxyR-ahpC intergenic	Silva MS JCM 2003	-9	G/A	-9		1996-1999	Lab Central Rio Grande  De Sul, Rio de Janeiro, Instituto Adolfo Lutz, Sao Paulo	Brazil	PCR-SSCP, Sequencing	Promoter region of ahpC	H,HR,HRS,HRP,HS,HRE,HRES,HRESP		Proportionmethod on Ogawa medium	69/69	1/0	none
+INH	OxyR-ahpC intergenic	Lee ASG AAC 1999	-6	G/A	-6		1994-1996	Singapore general hospital Pathology Lab	Singapore	Sequencing	Promoter region of ahpC	H	0.1ug/ml	BACTEC 460	160/192	1/0	katG del/mut or inhA mut
+INH	OxyR-ahpC intergenic	Huang WL JCM 2009	-5	G/A	-5		2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+INH	OxyR-ahpC intergenic	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	-4	A/G	-4												
+INH	OxyR-ahpC intergenic	Huang WL JCM 2009	-4	ins A	-4		2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+INH	OxyR-ahpC intergenic	Secondary Publication: Hazbon MH AAC 2006	-4	ins T	-4												
+INH	OxyR-ahpC intergenic	Gagneux S PLOS Path 2006	0	T/C	0												
+																	
+	ahpC																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	ahpC	Lee ASG AAC 1999	4	CCA/TCA	2	Pro/Ser	1994-1996	Singapore general hospital Pathology Lab	Singapore	Sequencing	Promoter region of ahpC	H	0.1ug/ml	BACTEC 460	160/192	1/0	katG del/mut or inhA mut
+INH	ahpC	Kiepiela P Tuber Lung Dis 2000	7	CTG/AAG	3	Leu/Lys	1995	King George V Hospital Mycobacterial Lab,Durban	South Africa	PCR-SSCP, Sequencing	N.S	H	>8ug/ml	BACTEC 460	79/96	1/0	Pro2Pro ahpC, katG mut present but not specified
+INH	ahpC	Lee ASG AAC 1999	14	ACC/ATC	5	Thr/Ile	1994-1996	Singapore general hospital Pathology Lab	Singapore	Sequencing	Promoter region of ahpC	H	0.1ug/ml	BACTEC 460	160/192	1/0	katG del/mut or inhA mut
+INH	ahpC	Silva MS JCM 2003	28	TTC/ATC	10	Phe/Ile	1996-1999	Lab Central Rio Grande  De Sul, Rio de Janeiro, Instituto Adolfo Lutz, Sao Paulo	Brazil	PCR-SSCP, Sequencing	Promoter region of ahpC	H,HR,HRS,HRP,HS,HRE,HRES,HRESP		Proportionmethod on Ogawa medium	69/69	1/0	S315T katG
+INH	ahpC	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	97	GAC/AAC	33	Asp/Asn											
+INH	ahpC	Secondary Publication: Hazbon MH AAC 2006	217	GAC/CAC	73	Asp/His											
+INH	ahpC	Chan RCY JAC 2007	226	GAG/AAG	76	Glu/Lys	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	2
+INH	ahpC	Secondary Publication: Hazbon MH AAC 2006	572	CTC/CGC	191	Leu/Arg											
+																	
+																	
+	mabA-inhA intergenic																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	mabA, fabG1	Ramaswamy SV AAC 2003	-147	G/T	-147												
+INH	mabA, fabG1	Lee ASG AAC 1999	-92	A/T	-92		1994-1996	Singapore general hospital Pathology Lab	Singapore	Sequencing	Promoter region of inhA	H	0.1ug/ml	BACTEC 460	160/192	1/0	katG or ahpC-oxyR mut
+INH	mabA, fabG1	Doustdar F MDR 2008	-67	G/C	-67		2005-2006		Iran	Sequencing	250bp around 315 and 212 bp around 463, 238bp of inhA and 293bp of ahpC	H	N.S.	Proportion method	48/93	1/0	inhA 40 G/C and ahpC -6 G/A
+INH	mabA, fabG1	Rindi L Int J Tuberc Lung Dis 2005	-24	G/T	-24		1994-2002	Clinical Mycobacterial Lab, Pisa and Regional reference centre ,Careggi Hospital	Italy	Sequencing	nt 56-303				45/45	1/0	not mentioned
+INH	mabA, fabG1	Rouse DA AAC 1995	-24	G/T	-24		1995	WashingtonD.C, Bethesda, South Korea		PCR SSCP analysis,	N.S.	HS	0.2ug/ml I, 4ug/mlS	Absolute concentration method	26/26	1/0	R463l katG
+INH	mabA, fabG1	Baker LV AAC 2005	-24	G/T	-24		1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array,  Sequencing	inhA promoter region	H,HS,HE,HSE,MDR	ratio>=4	Resistance ratio method	202/378	1/0	S315T Arg463Leu in katG, -46G/A in oxyRahpc intergenic region
+INH	mabA, fabG1	Morlock GP AAC 2003	-17	G/T	-17		2003	USA CDC, Brazil, Russia	USA	Sequencing	284 bp of inhA promoter and nt 13-379 of inhA	HEth	100ug/ml E, 8 ug/ml I	Proportion method	41/42	1/0	I21T inhA ORF
+INH	mabA, fabG1	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	-16	A/G	-16												
+INH	mabA, fabG1	Lee ASG AAC 1999	-15	C/T	-15		1994-1996	Singapore general hospital Pathology Lab	Singapore	Sequencing	Promoter region of inhA	H	0.1UG/ML	BACTEC 460 radimetric method	160/192	43/0	katG or ahpC-oxyR mut
+INH	mabA, fabG1	Secondary Publication: Hazbon MH AAC 2006	-11	A/T	-11												
+INH	mabA, fabG1	Lee ASG AAC 1999	-8	T/A	-8		1994-1996	Singapore general hospital Pathology Lab	Singapore	Sequencing	Promoter region of inhA	H	0.1UG/ML	BACTEC 460 radimetric method	160/192	1/0	katG or ahpC-oxyR mut
+INH	mabA, fabG1	Baker LV AAC 2005	-8	T/C	-8		1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array,  Sequencing	Promoter region of inhA	H,HS,HE,HSE,MDR	ratio>=4	Resistance ratio method	202/378	1/0	none
+INH	mabA, fabG1	Rouse DA AAC 1995	-8	T/G	-8		1995	WashingtonD.C, Bethesda, South Korea		PCR SSCP analysis	not specified	H	0.2ug/ml	Absolute concentration method	39990	1/0	none
+INH	mabA, fabG1	Sekigushi J JCM 2007	-5	T/A	-5		2007	Japan & Poland		Sequencing	nt-217 to -198, 1145-1126			Proportion method, BACTEC	38/138	1/0	M257T R463L katG
+																	
+	mabA																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	mabA, fabG1	Doustdar F MDR 2008	13	GCC/CCC	5	Ala/Pro	2005-2006		Iran	Sequencing	250bp around 315 and 212 bp around 463, 238bp of inhA and 293bp of ahpC	H	N.S.	Proportion method	48/93	1/0	mabA -15 C/T and ahpC -6 G/A
+INH	mabA, fabG1	Doustdar F MDR 2008	40	GTA/CTA	14	Val/Leu	2005-2006		Iran	Sequencing	250bp around 315 and 212 bp around 463, 238bp of inhA and 293bp of ahpC	H	N.S.	Proportion method	48/93	1/0	mabA -67 G/C and ahpC -6 G/A
+INH	mabA, fabG1	Secondary Publication: Hazbon MH AAC 2006	61	ACC/GCC	21	Thr/Ala											
+																	
+	inhA																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	inhA	Hai Hua Lin TubercRespirDis 2007	24	AAA/AAC	8	Lys/Asn	2004		South Korea	Sequencing	Whole gene	MDR	N.S.	N.S	29/29	1/0	inhA -15 (C/T)
+INH	inhA	Basso L JID 1998 	47	ATC/ACC	16	Ile/Thr	1998		USA	Sequencing	Whole gene	H	1.0ug/ml	BACTEC	N.S.	1/0	none
+INH	inhA	Morlock GP AAC 2003	61	ATC/GTC	21	Ile/Val	2003	USA CDC, Brazil, Russia	USA	Sequencing	284 bp inhA promoter and nt 13-379 of inhA	HEth	8ug/mlI, >200ug/ml Eth	Proportion metho	41/42	2/0	C(-15)T inhA regulator
+INH	inhA	Morlock GP AAC 2003	62	ATC/ACC	21	Ile/Thr	2003	USA CDC, Brazil, Russia	USA	Sequencing	284 bp inhA promoter and nt 13-379 of inhA	HEth	>32ug/ml, 8ug/ml I, >200 ug/ml or 100ug/ml Eth	Proportion method	41/42	3/0	C(-15)T, G(-17)T inhA regulator,
+INH	inhA	Basso L JID 1998 	140	ATT/ACT	47	Ile/Thr	1998		USA	Sequencing	Whole gene	H	1.0 ug/ml	BACTEC	N.S.	1/0	none
+INH	inhA	Basso L JID 1998 	233	GTG/GCG	78	Val/Ala	1998		USA	Sequencing	Whole gene	H	1.0 ug/ml	BACTEC	N.S.	1/0	none
+INH	inhA	Lee H Int J Tuberc Lung Dis 2000	280	TCG/GCG	94	Ser/Ala	2000	Korean Institute of TB Seoul	South Korea	Sequencing	nt174-382	HR	0.2ug/ml I, 20ug/ml R		24/24	1/0	
+INH	inhA	Vilcheze C Nat Med 2006 	281	TCG/TTG	94	Ser/Leu											
+INH	inhA	Ristow M Lancet 1995	283-284	ATT/CCT	95	Ile/Pro	1995		Germany, Nepal	Sequencing	inhA codon 94	HEth	All 7 were resistant to I or Eth or both.	Proportion method	38/47	 7/0 	not mentioned
+INH	inhA	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	284	ATT/ACT	95	Ile/Thr											
+INH	inhA	Leung ET AAC 2006	581	ATC/ACC	194	Ile/Thr	1999-2002	HongKong, South China	Hong Kong, China	Sequencing	  -38 to-13, 250-268,381-399,510-492,860-840,	H	>1ug/ml	Proportion method	102/375	1/0	not mentioned
+INH	inhA	Huang WL JCM 2009			202	Arg/Gly	2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+INH	inhA	Huang WL JCM 2009			217	Glu/Asp	2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+																	
+	embB																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	embB	Shi R AAC 2007 	997	TAT/CAT	333	Tyr/His	2000		China	Sequencing	Whole gene	HRS			141/181	1/0	not mentioned
+																	
+	furA																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	furA	Ramaswamy S AAC 2003	13	TCC/CCC	5	Ser/Pro	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+																	
+	Rv0340																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	Rv0340	Ramaswamy S AAC 2003	487	GTT/ATT	163	Val/Ile	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+																	
+	iniB																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	iniB	Ramaswamy S AAC 2003	665	del 12 bp	222		2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+																	
+	iniA																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	iniA	Ramaswamy S AAC 2003	7	CCC/GCC	3	Pro/Ala	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+INH	iniA	Ramaswamy S AAC 2003	282	del 5 bp	94	Frameshift	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+INH	iniA	Ramaswamy S AAC 2003	1610	CGC/CAC	537	Arg/His	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+																	
+	iniC																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	iniC	Ramaswamy S AAC 2003	247	TGG/GGG	83	Trp/Gly	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+																	
+	Rv1592c																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	Rv1592c	Ramaswamy S AAC 2003	-29	G/A			2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+INH	Rv1592c	Ramaswamy S AAC 2003	125	CCT/CTT	42	Pro/Leu	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+INH	Rv1592c	Ramaswamy S AAC 2003	1289	GTG/GCG	430	Val/Ala				Sequencing	Whole gene	H		Resistance ratio method, E-test			
+																	
+	Rv1772																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	Rv1772	Ramaswamy S AAC 2003	10	ACA/GCA	4	Thr/Ala	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+																	
+	srm R homolog																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	srm R homolog	Ramaswamy S AAC 2003	8	GAC/GGC	3	Asp/Gly	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+INH	srm R homolog	Ramaswamy S AAC 2003	968	ATG/ACG	323	Met/Thr	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+																	
+	fabD																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	fabD	Ramaswamy S AAC 2003	824	AGC/AAC	275	Ser/Asn	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+																	
+	accD6																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	accD6	Ramaswamy S AAC 2003	686	GAC/GGC	229	Asp/Gly	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+																	
+	fbpC																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	fbpC	Ramaswamy S AAC 2003	-63	C/T			2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+INH	fbpC	Ramaswamy S AAC 2003	472	GGC/AGC	158	Gly/Ser	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+																	
+	fadE24																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations	
+INH	fadE24	Ramaswamy S AAC 2003	-64	ins 2 bp			2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test				
+INH	fbpC	Ramaswamy S AAC 2003	-23	A/C			2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test				
+																		
+	efpA																	
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations	
+INH	efpA	Ramaswamy S AAC 2003	218	ATC/ACC	73	Ile/Thr	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test				
+																		
+	nhoA																	
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations	
+INH	nhoA	Ramaswamy S AAC 2003	201	GGC/GGT	67	Gly/Arg	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test				
+INH	nhoA	Ramaswamy S AAC 2003	620	GGG/GAG	207	Gly/Glu	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test				
+
+PARA-AMINOSALISYLIC ACID [PAS]																		
+																		
+	thyA																	
+Drug	Gene	Primary reference	nt	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	Resistant isolates/Total isolates tested for mutation	Resistant/Sensitive isolates with mutation	Additional mutations		
+PAS	thyA	Rengarajan J MolMicro 2004	604	ACC/GCC	202	Thr/Ala	Published 2004	PAS-resistant (n=8) and PAS-sensitive (n=10) clinical M.tb isolates. Total N=18	Russia	Sequencing	Whole gene	PAS	N.S.	N.S.	8/18	2/0	None in region analyzed.		
+PAS	thyA	Rengarajan J MolMicro 2004	664	CGC/GGC	222	Arg/Gly	Published 2004	PAS-resistant (n=8) and PAS-sensitive (n=10) clinical M.tb isolates. Total N=18	Russia	Sequencing	Whole gene	PAS	N.S.	N.S.	8/18	1/0	None in region analyzed.		
+
+PYRAZINAMIDE [PZA]																			
+																			
+	pncA																		
+Drug	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistancepattern	MIC 	Susceptibility testing method	Resistant isolates/Total isolates tested for mutation	Resistant/Sensitive isolates with mutation	Additional mutations		
+PZA	pncA	Morlock GP AAC 2000	-16/-11	AACGTA/GGCAGTT			1999			Sequencing	Whole gene	Z	400	Proportion method	37/60	1/0			
+PZA	pncA	Marttila HJ AAC 1999	-12	T/G			1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested		
+PZA	pncA	Scorpio A AAC 1997	-11	A/C			1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0			
+PZA	pncA	Sreevatsan S AAC 1997	-11	A/G			1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460 	67/118	2/0			
+PZA	pncA	Morlock GP AAC 2000	-7	T/C			1999			Sequencing	Whole gene	Z	100	Proportion method	37/60	1/0			
+PZA	pncA	Hou L Epi Infect 2000	1	del 8bp	1	Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRHSE	>2000	Proportion method, BACTEC 460	35/65	1/0			
+PZA	pncA	Scorpio A AAC 1997	1	del 11bp	1	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	2/0			
+PZA	pncA	Portugal I AAC 2004	2	ATG/ACG	1	Met/Thr	2000-2001	several hospitals in Lisbon	Portugal	Sequencing	Whole gene	Z		BACTEC MGIT 960	55	55			
+PZA	pncA	Lee KW J Korean Med Sci 2001	3	ATG/ATT	1	Met/Ile	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lemaitre N AAC 1999	7	GCG/CCG	3	Ala/Pro	1986		France	Sequencing	Whole gene	ZHR	1000			1/0	
+PZA	pncA	Sekiguchi JI JCM 2007	8	GCG/GAG	3	Ala/Glu	2006	TB patients in Japan and Poland	Japan	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	11	TTG/TGG	4	Leu/Trp	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Morlock GP AAC 2000	11	TTG/TCG	4	Leu/Ser	1999			Sequencing	Whole gene	Z	800	Proportion method	37/60	1/0	
+PZA	pncA	Scorpio A AAC 1997	14	ATC/AGC	5	Ile/Ser	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Escalante P TuberLung Dis 1998	19	GTC/ATC	7	Val/Ile	1995, 1996	patients w/ pulmonary TB	Peru	Sequencing	Whole gene	ZHRPES		Proportion method	11/29	1/0	"katG, 315, AGC/ACC; rpoB, 531, TCG/TTG; "
+PZA	pncA	Escalante P TuberLung Dis 1998	19	GTC/TTC	7	Val/Phe	1995, 1996	patients w/ pulmonary TB	Peru	Sequencing	Whole gene	ZHRPS		Proportion method	11/29	1/0	"katG, 315, AGC/ACC; rpoB, 531, TCG/TTG; embB, 328, GAT:A del"
+PZA	pncA	Hirano  TLD 1997	20	GTC/GGC	7	Val/Gly	1997	168 mtb strain isolated in 9 Asian countries and Canada	Yemen	Sequencing	Whole gene	ZHRSE	>800	Proportion method	33/168	2/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	20	GTC/GAC	7	Val/Asp	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Marttila HJ AAC 1999	22	GAC/TAC	8	Asp/Tyr	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Lee KW J Korean Med Sci 2001	23	GAC/GGC	8	Asp/Gly	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Scorpio A AAC 1997	24	GAC/GAG	8	Asp/Glu	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	26	GTG/GCG	9	Val/Ala	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	26	GTG/GGG	9	Val/Gly	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	26	GTG/TTG	9	Val/Leu	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Chan RCY JAC 2007	27	GTG/TCG	9	Val/Ser	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Scorpio A AAC 1997	28	del C	10	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Marttila HJ AAC 1999	28	CAA/AAA	10	Gln/Lys	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Marttila HJ AAC 1999	28	CAA/TAA	10	Gln/STOP	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Cheng SJ AAC 2000	29	CAG/CGA	10	Gln/Arg	1990-1992		USA	Sequencing	Whole gene	ZHREO	>900	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Hirano  TLD 1998	29	CAG/CCG	10	Gln/Pro	1997	168 mtb strain isolated in 9 Asian countries and Canada	Myanmar	Sequencing	Whole gene	ZHRSE	>800	Proportion method	33/168	1/0	
+PZA	pncA	Morlock GP AAC 2000	29	CAG/CCA	10	Gln/Pro	1999			Sequencing	Whole gene	Z	800	Proportion method	37/60	1/0	
+PZA	pncA	Scorpio A AAC 1997	34	GAC/AAC	12	Asp/Asn	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Scorpio A AAC 1997	35	GAC/GCC	12	Asp/Ala	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Lemaitre N AAC 1999	38	TTC/TCC 	13	Phe/Ser	1987		France	Sequencing	Whole gene	ZHRES	>2000		19/35	1/0	
+PZA	pncA	Scorpio A AAC 1997	40	TGC/CGC	14	Cys/Arg	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	40	TGC/CGC	14	Cys/His	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Lee KW J Korean Med Sci 2001	41	TGC/TAC	14	Cys/Tyr	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Chan RCY JAC 2007	47	del G	16	Frameshift	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Hirano  TLD 1998	50	GGC/GAC	17	Gly/Asp	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHRS	>800	Proportion method	33/168	2/0	
+PZA	pncA	Chan RCY JAC 2007	50	GGC/GTC	17	Gly/Val	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Cheng SJ AAC 2000	52	ins GG		Frameshift			USA	Sequencing	Whole gene	ZHR	>900	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Chan RCY JAC 2007	56	CTG/CGG	19	Leu/Arg	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Sreevatsan S AAC 1997	56	CTG/CCG	19	Leu/Pro	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460 	67/118	1/0	
+PZA	pncA	Chan RCY JAC 2007	62	GTA/GGA	21	Val/Gly	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Chan RCY JAC 2007	64	del A	22	Frameshift	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Hou L Epi Infect 2000	59	del C	20	Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRSE	1800	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	68-69	GGT/GTC	23	Gly/Val	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	70	del G	24	Frameshift	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	7/0	
+PZA	pncA	Hou L Epi Infect 2000	71	del G	24	Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRH	600	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	74-75	GCC/GAA	25	Ala/Glu	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Scorpio A AAC 1997	77	GCG/GGG	26	Ala/Gly	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Marttila HJ AAC 1999	84	del C	28	Frameshift	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Lee KW J Korean Med Sci 2001	83	GCC/GAC	28	Ala/Asp	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Hannan MM JCM 2001	88-112	del 24bp		Frameshift	1996-1999	isolates from 5 counties in California	California	Sequencing	Whole gene	Z		BACTEC radiometric testing	3/11	1/0	
+PZA	pncA	Scorpio A AAC 1997	98-216	del 118bp		Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Scorpio A AAC 1997	100	ins T	34	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Hirano  TLD 1998	101	TAC/TCC	34	Tyr/Ser	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHRSE	>800	Proportion method	33/168	2/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	104	CTG/CGG	35	Leu/Arg	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	109-110	GGA/TAA	37	Glu/STOP	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Morlock GP AAC 2000	106	del 5.3kb		Frame/TRUNC	1999			Sequencing	Whole gene	Z	800	Proportion method	37/60	1/0	
+PZA	pncA	Hou L Epi Infect 2000	121	TAC/CAC	41	Tyr/His	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZHRE	600	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Hirano  TLD 1998	123	TAC/TAA	41	Tyr/STOP	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHRSE	>800	Middlebrook 7H11 agar w/ pH of 6.0	33/168	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	123	TAC/TAG	41	Tyr/STOP	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Hirano  TLD 1998	128	CAC/CCC	43	His/Pro	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHR	>800	Proportion method	33/168	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	134	GTG/GGG	45	Val/Gly	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Hirano  TLD 1998	136	G ins	46	Frameshift	1997	168 mtb strain isolated in 9 Asian countries and Canada	Yemen	Sequencing	Whole gene	ZHE	>800	Proportion method	33/168	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	136	GCA/CCA	46	Ala/Pro	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Cheng SJ AAC 2000	137	GCA/GAA	46	Ala/Glu			South korea	Sequencing	Whole gene	Z	>500	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Cheng SJ AAC 2000	137	GCA/GTA	46	Ala/Val			South korea	Sequencing	Whole gene	Z	>500	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Hou L Epi Infect 2000	139	ACC/CCC	47	Thr/Pro	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRSE	1500	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Marttila HJ AAC 1999	139	ACC/TCC	47	Thr/Ser	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Sreevatsan S AAC 1997	139	ACC/GCC	47	Thr/Ala	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	11/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	145	GAC/CAC	49	Asp/His	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Lee KW J Korean Med Sci 2001	146	GAC/GCC	49	Asp/Ala	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Marttila HJ AAC 1999	146	GAC/GTC	49	Asp/Val	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Marttila HJ AAC 1999	146	GAC/GGC	49	Asp/Gly	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Rodrigues V de F AAC 2005	151	CAC/AAC	51	His/Asn	1998-2003	Selected according to culture availability in health centers in Brazl	Brazil	Sequencing	Whole gene	Z		Proportion method	59	40	
+PZA	pncA	Mestdagh M AAC 1999	151	CAC/TAC	51	His/Tyr	1999	54 MDR mtb clinical strains	Scotland	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	151-230	del 80bp		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Hirano  TLD 1998	152	CAC/CCC	51	His/Pro	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHR	>800	Proportion method	33/168	1/0	
+PZA	pncA	Hirano  TLD 1998	152	CAC/CGC	51	His/Arg	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHR	>800	Proportion method	33/168	1/0	
+PZA	pncA	Sekiguchi JI JCM 2007	153	CAC/CAG	51	His/Gln	2006	TB patients in Japan and Poland	Poland	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0	
+PZA	pncA	Sekiguchi JI JCM 2007	153	CAC/CAA	51	His/Gln	2006	TB patients in Japan and Poland	Japan	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	2/0	
+PZA	pncA	Sekiguchi JI JCM 2007	151	GAC/AAC	53	Asp/Asn	2006	TB patients in Japan and Poland	Japan	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0	
+PZA	pncA	Cheng SJ AAC 2000	158	GAC/GCC	53	Asp/Ala			South korea	Sequencing	Whole gene	Z	>100	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	158	del A	53	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	160 	CCG/ACG	54	Pro/Thr	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	161	CCG/CTG	54	Pro/Leu	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Lee KW J Korean Med Sci 2001	161	del C	54	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Scorpio A AAC 1997	162	ins T	54	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Scorpio A Nature Med 1996	162	del G	54	Frameshift		clinical isolates from L. Heifets, National Jewish Center for Immunology and Resp. Diseases	USA	Sequencing	Whole gene	MDR	>500ug/ml	"7H9 liquid medium, pH5.6; PZase activity assayed according to Wayne's method "	4/7	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	169	CAC/TAC	57	His/Tyr	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Sreevatsan S AAC 1997	169	CAC/GAC	57	His/Asp	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	2/0	
+PZA	pncA	Brown TJ JMedMicro 2000	170	CAC/CCC	57	His/Pro	2000	"4 sensitive, 6 MDR from Turkey; 8 isolates from nosocomial MDR TB outbreak in UK "	Turkey	Sequencing	Whole gene	ZHRP		"BACTEC radiometric-based culture method, standard protocol; and PZase activity"	13/18	1/0	A2416T (rpoB)
+PZA	pncA	Chan RCY JAC 2007	170	CAC/CTC	57	His/Leu	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	172	del T	58	Frameshift	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Escalante P TuberLung Dis 1998	172	TTC/CTC	58	Phe/Leu	1995-1996	patients w/ pulmonary TB	Peru	Sequencing	Whole gene	ZHR		Proportion method	11/29	1/0	"katG, 315, AGC/ACC; rpoB, 526 cac/ctc; embB, 306, ATG/ATA "
+PZA	pncA	Hirano  TLD 1998	174	TTC/TTG	58	Phe/Leu	1997	168 mtb strain isolated in 9 Asian countries and Canada	Canada	Sequencing	Whole gene	ZHRS	400	Proportion method	33/168	1/0	
+PZA	pncA	Brown TJ JMedMicro 2000	175	TCC/CCC	59	Ser/Pro	2000	"4 sensitive, 6 MDR from Turkey; 8 isolates from nosocomial MDR TB outbreak in UK "	Turkey	Sequencing	Whole gene	ZHRP		BACTEC 460 	13/18	1/0	C2431T (rpoB)
+PZA	pncA	Lemaitre N AAC 1999	181	ACA/CCA	61	Thr/Pro	1992		France	Sequencing	Whole gene	ZHRES	500ug/ml		19/35	1/0	
+PZA	pncA	Mestdagh M AAC 1999	185	CCG/CAG??	62	Pro/His 	1999	54 MDR mtb clinical strains	Azerbaijan	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Morlock GP AAC 2000	185	CCG/CGG	62	Pro/Arg	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	1/0	
+PZA	pncA	Chan RCY JAC 2007	186	CCG/CTG	62	Pro/Leu	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Hirano  TLD 1998	188	GAC/GGC	63	Asp/Gly	1997	168 mtb strain isolated in 9 Asian countries and Canada	Yemen	Sequencing	Whole gene	ZHRS	>800	Proportion method	33/168	1/0	
+PZA	pncA	Scorpio A Nature Med 1996	187	GAC/CAC	63	Asp/His		clinical isolates from L. Heifets, National Jewish Center for Immunology and Resp. Diseases	Colorado	Sequencing	Whole gene	MDR	>500ug/ml	PZase test with Wayne's method	4/7	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	190	TAT/GAT	64	Tyr/Asp	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lemaitre N AAC 1999	192	ins A	64	Frameshift	1996		France	Sequencing	Whole gene	ZSHE	1000ug/ml			1/0	
+PZA	pncA	Mestdagh M AAC 1999	195-263	del 68bp		Frameshift	1999	54 MDR mtb clinical strains	Azerbaijan	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Marttila HJ AAC 1999	196	TCG/CCG	66	Ser/Pro	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Hirano  TLD 1998	199	TCG/CCG	67	Ser/Pro	1997	168 mtb strain isolated in 9 Asian countries and Canada	Canada	Sequencing	Whole gene	ZHRSE	>800	Proportion method	33/168	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	202	TGG/CGG	68	Trp/Arg	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	202	TGG/GGG	68	Trp/Gly	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Cheng SJ AAC 2000	203	TGG/TCA	68	Trp/STOP			USA	Sequencing	Whole gene	Z	>900	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	203	TGG/TCG	68	Trp/Ser	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	203	TGG/TTG	68	Trp/Leu	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Scorpio A AAC 1997	206	CCA/CGA	69	Pro/Arg	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>300ug/ml	Pzase testing by Wayne's method	46/46	2/0	
+PZA	pncA	Hou L Epi Infect 2000	206	CCA/CGA	69	Pro/Arg	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRHSE	1200	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Lemaitre N AAC 1999	206	CCA/CTA 	69	Pro/Leu	1994		France	Sequencing	Whole gene	ZHR	(pH 5.6, 5.8) >2000/>2000		19/35	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	211	CAT/TAT	71	His/Tyr	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	212	CAT/GAT	71	His/Asp	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Morlock GP AAC 2000 	212	CAT/CGT	71	His/Arg	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	1/0	
+PZA	pncA	Cheng SJ AAC 2000	213	CAT/CAG	71	His/Glu			USA	Sequencing	Whole gene	ZHRS	>900	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Scorpio A AAC 1997	214	TGC/CGC	72	Cys/Arg	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	215	TGC/TAC	72	Cys/Tyr	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Sekiguchi JI JCM 2007	216	TGC/TGG	72	Cys/Trp	2006	TB patients in Japan and Poland	Japan	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0	
+PZA	pncA	Lemaitre N AAC 1999	215	ins 29bp		Frameshift	1986		France	Sequencing	Whole gene	ZHRS	>2000		19/35	1/0	
+PZA	pncA	Sekiguchi JI JCM 2007	218	ins CGCATTGCCG		Frameshift	2006	TB patients in Japan and Poland		Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0	
+PZA	pncA	Mestdagh M AAC 1999	221	ins G	74	Frameshift	1999	54 MDR mtb clinical strains	United Kingdom	Sequencing	Whole gene	Z		BACTEC 460 	23/62	2/0	
+PZA	pncA	Chan RC JAC 2007	224	ATG/ACG	75	Met/Thr	1994-2004	250 drug-res. Mtb from Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	ZORH	100ug/ml	BACTEC MGIT 960 	89/250	1/0	"Asp94Gly (gyrA); Ser531Leu(rpoB); Met306Val(embB); Ser315Thr(katG)"
+PZA	pncA	Sreevatsan S AAC 1997	226	ACT/CCT	76	Thr/Pro	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Brown TJ JMedMicro 2000	227	ACT/ATT	76	Thr/Ile	2000	"4 sensitive, 6 MDR from Turkey; 8 isolates from nosocomial MDR TB outbreak in UK "	United kindom, Turkey	Sequencing	Whole gene	ZHRP		BACTEC 460	13/18	8/0	C2431T (rpoB)
+PZA	pncA	Morlock GP AAC 2000	233	GGC/GAC	78	Gly/Asp	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	1/0	
+PZA	pncA	Chan RCY JAC 2007	236	GCG/GGG	79	Ala/Gly	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Brown TJ JMedMicro 2000	239	del A		Frameshift	2000	"4 sensitive, 6 MDR from Turkey; 8 isolates from nosocomial MDR TB outbreak in UK "	Turkey	Sequencing	Whole gene	Z		BACTEC 460 	13/18	1/0	C2431T (rpoB)
+PZA	pncA	Sachais BS MolDiag 1998	241	TTC/GTC	80	Phe/Val	1993-1999	clinical isolates from Microbio. Lab of Hospital of Univ. of Penn. & Episcopal Hosp. in PA	USA	Sequencing	Whole gene	Z		BACTEC at pH 6.4	2/12	1/0	
+PZA	pncA	Brown TJ JMedMicro 2000	244	CAT/TAT	82	His/Tyr	2000	"4 sensitive, 6 MDR from Turkey; 8 isolates from nosocomial MDR TB outbreak in UK "	Turkey	Sequencing	Whole gene	ZHRP		BACTEC 460 	13/18	1/0	A2386T (rpoB)
+PZA	pncA	Cheng SJ AAC 2000	245	CAT/CGT	82	His/Arg			USA	Sequencing	Whole gene	ZHRES	300	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Rodrigues V de F AAC 2005	246	CAT/CTT	82	His/Leu	1998-2003	Selected according to culture availability in health centers in Brazl	Brazil	Sequencing	Whole gene	Z		Proportion method	59	40	
+PZA	pncA	Mestdagh M AAC 1999	254	CTG/CGG	85	Leu/Arg	1999	54 MDR mtb clinical strains	Azerbaijan	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Scorpio A AAC 1997	254	CTG/CCG	85	Leu/Pro	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	3/0	
+PZA	pncA	Lemaitre N AAC 1999	260	ACG/ATG	87	Thr/Met	1987		France	Sequencing	Whole gene	ZHRES	1000-1500		19/35	1/0	
+PZA	pncA	Hou L Epi Infect 2000	263	TCG/TAG	88	Ser/STOP	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZHRES	>2000	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Hannan MM JCM 2001	269	ATC/AGC	90	Ile/Ser	1996-1999	isolates from 5 counties in California	USA	Sequencing	Whole gene	Z		BACTEC radiometric testing	3/11	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	269	ATC/AGC	90	Ile/Ser	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Sreevatsan S AAC 1997	280	TTC/CCC	94	Phe/Pro	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	2/0	T281C
+PZA	pncA	Lee KW J Korean Med Sci 2001	286	AAG/CAG	96	Lys/Gln	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Marttila HJ AAC 1999	286	AAG/GAG	96	Lys/Glu	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Scorpio A AAC 1997	287	AAG/ACG	96	Lys/Thr	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Hirano  TLD 1998	287	ins T		Frameshift	1997	168 mtb strain isolated in 9 Asian countries and Canada	Canada	Sequencing	Whole gene	ZHRS	>800	Proportion method	33/168	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	287	ins T		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Scorpio A AAC 1997	288	AAG/AAT	96	Lys/Asn	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Scorpio A Nature Med 1996	288	del G		Frameshift		clinical isolates from L. Heifets, National Jewish Center for Immunology and Resp. Diseases	USA	Sequencing	Whole gene	Z	>500ug/ml	PZase test with Wayne's method	4/7	1/0	
+PZA	pncA	Cheng SJ AAC 2000	289	GGT/AGT	97	Gly/Ser			USA	Sequencing	Whole gene	ZHRES	>900	Proportion method, BACTEC 460	59/59	2/0	
+PZA	pncA	Morlock GP AAC 2000	290	GGT/GAT	97	Gly/Asp	1999			Sequencing	Whole gene	Z	400	Proportion method	37/60	1/0	
+PZA	pncA	Hirano  TLD 1998	297	TAC/TAA	99	Tyr/STOP	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHRSE	>800	Proportion method	33/168	1/0	
+PZA	pncA	Morlock GP AAC 2000	297	TAC/TAG	99	Tyr/STOP	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	2/0	
+PZA	pncA	Cheng SJ AAC 2000	301	ins G		Frameshift			South korea	Sequencing	Whole gene	Z	>500	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Hou L Epi Infect 2000	301	ins A		Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZHRS	900	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Marttila HJ AAC 1999	304	GCG/ACG	102	Ala/Thr	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Marttila HJ AAC 1999	305	GCG/GTG	102	Ala/Val	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	2/0	not tested
+PZA	pncA	Lemaitre N AAC 1999	306	ins C		Frameshift	1989		France	Sequencing	Whole gene	ZHRES	500-1500		19/35	1/0	
+PZA	pncA	Mestdagh M AAC 1999	307	TAC/CAC	103	Tyr/His	1999	54 MDR mtb clinical strains	Canada	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	307	del TACAG		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	308	TAC/TCC	103	Tyr/Ser	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	2/0	
+PZA	pncA	Lemaitre N AAC 1999	308	TAC/TGC	103	Tyr/Cys	1994		France	Sequencing	Whole gene	ZHRE	1500			1/0	
+PZA	pncA	Marttila HJ AAC 1999	309	TAC/TAG	103	Tyr/STOP	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Morlock GP AAC 2000	309	TAC/TAA	103	Tyr/STOP	1999			Sequencing	Whole gene	Z	100	Proportion method	37/60	1/0	
+PZA	pncA	Scorpio A AAC 1997	312	del C	104	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Hirano  TLD 1998	312	AGC/AGG	104	Ser/Arg	1997	168 mtb strain isolated in 9 Asian countries and Canada	Yemen	Sequencing	Whole gene	ZHRSE	>800	Middlebrook 7H11 agar w/ pH of 6.0	33/168	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	319	GAA/AAA	107	Gly/Lys	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Hirano  TLD 1998	340	ACG/CCG	114	Thr/Pro	1997	168 mtb strain isolated in 9 Asian countries and Canada	Yemen	Sequencing	Whole gene	ZHR	>800	Middlebrook 7H11 agar w/ pH of 6.0	33/168	1/0	
+PZA	pncA	Cheng SJ AAC 2000	341	del C		Frameshift			South korea	Sequencing	Whole gene	Z	>500	Proportion method, BACTEC 460	59/59	1/0?	
+PZA	pncA	Lemaitre N AAC 1999	341	ins 1355bp			1989		France	Sequencing	Whole gene	ZHRE	1000		19/35	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	346	CTG/GTG	116	Leu/Val	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Marttila HJ AAC 1999	347	CTG/CGG	116	Leu/Arg	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Hou L Epi Infect 2000	353	AAT/ACT	118	Asn/Thr	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZHRS	1000	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	353	TGG/CGG	119	Trp/Arg	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	357	TGG/TGA	119	Trp/STOP	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Portugal I AAC 2004	359	CTG/CCG	120	Leu/Pro	2000-2001	several hospitals in Lisbon	Portugal	Sequencing	Whole gene	Z		BACTEC MGIT 960	55	55	
+PZA	pncA	Sreevatsan S AAC 1997	362	CGG/CCG	121	Arg/Pro	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Hou L Epi Infect 2000	368	ins AG		Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRHSE	1000	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	368	ins 18bp		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Marttila HJ AAC 1999	374	GTC/GAC	125	Val/Asp	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Marttila HJ AAC 1999	379-389	del 11bp		Frameshift	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Lee KW J Korean Med Sci 2001	381	del GG		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	382	ins AG		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Rodrigues V de F AAC 2005	384	GTC/GGC	128	Val/Gly	1998-2003	Selected according to culture availability in health centers in Brazl	Brazil	Sequencing	Whole gene	Z		Proportion method and Pzase test	59	40	
+PZA	pncA	Lee KW J Korean Med Sci 2001	386-389	del ATGT		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Morlock GP AAC 2000	388	ins GAGGTCGAT		ins Glu Val Asp	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	388	ins AGGTCGATG		Ins Arg Ser Met	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	4/0	
+PZA	pncA	Hirano  TLD 1998	389	GTG/GGG	130	Val/Gly	1997	168 mtb strain isolated in 9 Asian countries and Canada	Canada	Sequencing	Whole gene	ZHRSE	>800	Middlebrook 7H11 agar w/ pH of 6.0	33/168	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	391	ins GG		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lemaitre N AAC 1999	391	ins GG		Frameshift	1988		France	Sequencing	Whole gene	ZHRES	500-1000		19/35	1/0	
+PZA	pncA	Scorpio A AAC 1997	391	del G		Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	392	ins G		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Hirano  TLD 1998	395	GGT/GAT	132	Gly/Asp	1997	168 mtb strain isolated in 9 Asian countries and Canada	Myanmar	Sequencing	Whole gene	Z	>800	Proportion method	33/168	1/0	
+PZA	pncA	Scorpio A AAC 1997	394	GGT/AGT	132	Gly/Ser	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	2/0	
+PZA	pncA	Hirano  TLD 1998	395-411 del	del 16bp		Frameshift	1997	168 mtb strain isolated in 9 Asian countries and Canada	India	Sequencing	Whole gene	ZR	>800	Proportion method	33/168	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	397	ins T		Frameshift	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Marttila HJ AAC 1999	398	ATT/ACT	133	Ile/Thr	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Morlock GP AAC 2000	398	ATT/AAT	133	Ile/Asn	1999			Sequencing	Whole gene	Z	800	Proportion method	37/60	1/0	
+PZA	pncA	Escalante P TuberLung Dis 1998	401	GCC/GTC	134	Ala/Val	1995-1996	patients w/ pulmonary TB	Peru	Sequencing	Whole gene	ZHRP		Proportion method	11/29	1/0	"katG, 315, AGC/ACC; rpoB, 531, TCG/TTG; "
+PZA	pncA	Morlock GP AAC 2000	403	ACC/CCC	135	Thr/Pro	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	1/0	
+PZA	pncA	Hou L Epi Infect 2000	403	ins CC		Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRE	1000	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	403	ins C		Frameshift	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	406	GAT/TAT	136	Asp/Tyr	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	2/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	406	GAT/AAT	136	Asp/Asn	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Mestdagh M AAC 1999	406	GAT/CAT	136	Asp/His	1999	54 MDR mtb clinical strains	Scotland	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	406	del G		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	407	GAT/GGT	136	Asp/Gly	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Mestdagh M AAC 1999	407-408	ins C		Frameshift	1999	54 MDR mtb clinical strains	Azerbaijan	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Scorpio A AAC 1997	410	CAT/CCT	137	His/Pro	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	410	CAT/CGT	137	His/Arg	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	2/0	
+PZA	pncA	Cheng SJ AAC 2000	413	TGT/TCT	138	Cys/Ser			South korea	Sequencing	Whole gene	Z	>500	Proportion method, BACTEC 460	59/59	1/0?	
+PZA	pncA	Scorpio A Nature Med 1996	413	TGT/TAT	138	Cys/Tyr		clinical isolates from L. Heifets, National Jewish Center for Immunology and Resp. Diseases	Colorado	Sequencing	Whole gene	MDR	>500ug/ml	Pzase testing by Wayne's method	4/7	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	414	ins G		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Cheng SJ AAC 2000	415	GTG/ATG	139	Val/Met			South korea	Sequencing	Whole gene	Z	>500	Proportion method, BACTEC 460	59/59	1/0?	
+PZA	pncA	Morlock GP AAC 2000	415	GTG/CTG	139	Val/Leu	1999			Sequencing	Whole gene	Z	100	Proportion method	37/60	1/0	
+PZA	pncA	Morlock GP AAC 2000	416	GTG/GGG	139	Val/Gly	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	416	GTG/GCG	139	Val/Ala	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Scorpio A AAC 1997	416	del TG		Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Cheng SJ AAC 2000	418	CGC/AGC	140	Arg/Ser				Sequencing	Whole gene	Z		Proportion method, BACTEC 460	59/59	20/0	
+PZA	pncA	Lemaitre N AAC 1999	419	del 68bp		Frameshift	1992		France	Sequencing	Whole gene	ZHRE	1000		19/35	1/0	
+PZA	pncA	Cheng SJ AAC 2000	420	ins G		Frameshift			USA	Sequencing	Whole gene	ZR	>900	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Cheng SJ AAC 2000	420	ins GG		Frameshift			USA	Sequencing	Whole gene	ZHRSO	>900	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	421	CAG/TAG	141	Gln/STOP	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Scorpio A Nature Med 1996	422	CAG/CCG	141	Gln/Pro		clinical isolates from L. Heifets, National Jewish Center for Immunology and Resp. Diseases	USA	Sequencing	Whole gene	MDR	>500ug/ml	Pzase testing by Wayne's method	invitro	1/0	
+PZA	pncA	Escalante P TuberLung Dis 1998	424	ACG/CCG	142	Thr/Pro	1995, 1996	patients w/ pulmonary TB	Peru	Sequencing	Whole gene	MDR		Proportion method	11/29	1/0	rpoB, 516, GAC/TAC
+PZA	pncA	Hirano  TLD 1998	424	ACG/GCG	142	Thr/Ala	1997	168 mtb strain isolated in 9 Asian countries and Canada	Myanmar	Sequencing	Whole gene	ZHRSE	>800	Middlebrook 7H11 agar w/ pH of 6.0	33/168	1/0	
+PZA	pncA	Scorpio A AAC 1997	425	ACG/AAG	142	Thr/Lys	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Scorpio A AAC 1997	425	ACG/ATG	142	Thr/Met	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Cheng SJ AAC 2000	428	ins GG		Frameshift			South korea	Sequencing	Whole gene	Z	>100	Proportion method, BACTEC 460	59/59	1/0?	
+PZA	pncA	Lee KW J Korean Med Sci 2001	436	GCG/ACG	146	Ala/Thr	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lemaitre N AAC 1999	436	del G		Frameshift	1987		France	Sequencing	Whole gene	ZHRE	1000-1500		19/35	1/0	
+PZA	pncA	Hirano  TLD 1998	437	GCG/GTG	146	Ala/Val	1997	168 mtb strain isolated in 9 Asian countries and Canada	India	Sequencing	Whole gene	ZRS	>800	Proportion method	33/168	1/0	
+PZA	pncA	Sekiguchi JI JCM 2007	442	CGC/AGC	148	Arg/Ser	2006	TB patients in Japan and Poland	Poland	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0	
+PZA	pncA	Brown TJ JMedMicro 2000	442	C/A	148	Arg/Ser	2000	"4 sensitive, 6 MDR from Turkey; 8 isolates from nosocomial MDR TB outbreak in UK "	Turkey	Sequencing	Whole gene	ZHRP		BACTEC 460 	13/18	1/0	C2431G(rpoB)
+PZA	pncA	Scorpio A AAC 1997	443	del G		Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Cheng SJ AAC 2000	446	del 8bp		Frameshift	1990-1992	Canadians	Canada	Sequencing	Whole gene	ZHRE	>300	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Scorpio A AAC 1997	446	ins 8bp		Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	452	del T		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Morlock GP AAC 2000	458	ACC/AAC	153	Thr/Asn	1999			Sequencing	Whole gene	Z	800	Proportion method	37/60	1/0	
+PZA	pncA	Marttila HJ AAC 1999	460	AGG/GGG	154	Arg/Gly	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Lemaitre N AAC 1999	464	GTG/GGG	155	Val/Gly	1987		France	Sequencing	Whole gene	ZHRE	1500		19/35	1/0	
+PZA	pncA	Escalante P TuberLung Dis 1998	464	GTG/GCG	155	Val/Ala	1995, 1996	patients w/ pulmonary TB	Peru	Sequencing	Whole gene	ZHRES		Proportion method	11/29	1/0	"katG, 315, AGC/ACC; rpoB, 531, TCG/TTG; "
+PZA	pncA	Lee KW J Korean Med Sci 2001	465	ins T		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	2/0	
+PZA	pncA	Scorpio A AAC 1997	475	del C		Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	476	CTG/CCG	159	Leu/Pro	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Lee KW J Korean Med Sci 2001	476	CTG/CGG	159	Leu/Arg	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Marttila HJ AAC 1999	478	ACA/CCA	160	Thr/Pro	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	2/0	not tested
+PZA	pncA	Lee KW J Korean Med Sci 2001	480	ins TGAC		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Marttila HJ AAC 1999	481	GCG/CCG	161	Ala/Pro	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	2/0	not tested
+PZA	pncA	Chan RC JAC 2007	485	GGT/GAT	162	Gly/Asp	1994-2004	250 drug-res. Mtb from Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	ZOREth	100mg/L	BACTEC MGIT 960	89/250	1/0	"Asp94Gly (gyrA); Ser531Leu(rpoB); Met306Val(embB)"
+PZA	pncA	Hou L Epi Infect 2000	501	ins CG		Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZSHE	900	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Cheng SJ AAC 2000	503	ACC/AAC	168	Thr/Asn			Canada	Sequencing	Whole gene	ZRO	300	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Mestdagh M AAC 1999	511	GCG/ACG	171	Ala/Thr	1999	54 MDR mtb clinical strains	Bangladesh	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Sachais BS MolDiag 1998	511	GCG/CCG	171	Ala/Pro	1993-1999	clinical isolates from Microbio. Lab of Hospital of Univ. of Penn. & Episcopal Hosp. in PA	USA	Sequencing	Whole gene	Z		BACTEC at pH 6.4	2/12	1/0	
+PZA	pncA	Mestdagh M AAC 1999	512	GCG/GTG	171	Ala/Val	1999	54 MDR mtb clinical strains	Scotland	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Rodrigues V de F AAC 2005	512	GCG/GAG	171	Ala/Glu	1998-2003	Selected according to culture availability in health centers in Brazl	Brazil	Sequencing	Whole gene	Z		Proportion method	59	40	
+PZA	pncA	Mestdagh M AAC 1999	512	del C		Frameshift	1999	54 MDR mtb clinical strains	Rwanda	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Hirano  TLD 1998	515	CTG/CCG	172	Leu/Pro	1997	168 mtb strain isolated in 9 Asian countries and Canada	Canada	Sequencing	Whole gene	ZHRSE	>800	Proportion method	33/168	1/0	
+PZA	pncA	Mestdagh M AAC 1999	514-515	CTG/GCG	172	Leu/Ala	1999	54 MDR mtb clinical strains	Belgium	Sequencing	Whole gene	Z		BACTEC 460 	23/62	2/0	
+PZA	pncA	Scorpio A AAC 1997	518	ins 5bp		Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Sekiguchi JI JCM 2007	523	ATG/GTG	175	Met/Val	2006	TB patients in Japan and Poland	Japan	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	532	ins C		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	535	AGC/CGC	179	Ser/Arg	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Lee KW J Korean Med Sci 2001	538	GTC/TTC	180	Val/Phe	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	543	GAG/GAT	181	Glu/Asp	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Lemaitre N AAC 1999	545	TTG/TCG	182	Leu/Ser	1997		France	Sequencing	Whole gene	ZHRS	500-2000ug/ml		19/35	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	554	AGC/ACC	185	Ser/Thr	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Chan RCY JAC 2007	554	AGC/ATC	185	Ser/Ile	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Marttila HJ AAC 1999	-12	T/G	-12		1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Scorpio A AAC 1997	-11	A/C	-11		1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	-11	A/G	-11		1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460 	67/118	2/0	
+PZA	pncA	Morlock GP AAC 2000	-7	T/C	-7		1999			Sequencing	Whole gene	Z	100	Proportion method	37/60	1/0	
+PZA	pncA	Hou L Epi Infect 2000	1	del 8bp	1	Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRHSE	>2000	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Scorpio A AAC 1997	1	del 11bp	1	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	2/0	
+PZA	pncA	Portugal I AAC 2004	2	ATG/ACG	1	Met/Thr	2000-2001	several hospitals in Lisbon	Portugal	Sequencing	Whole gene	Z		BACTEC MGIT 960	55	55	
+PZA	pncA	Lee KW J Korean Med Sci 2001	3	ATG/ATT	1	Met/Ile	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lemaitre N AAC 1999	7	GCG/CCG	3	Ala/Pro	1986		France	Sequencing	Whole gene	ZHR	1000			1/0	
+PZA	pncA	Sekiguchi JI JCM 2007	8	GCG/GAG	3	Ala/Glu	2006	TB patients in Japan and Poland	Japan	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	11	TTG/TGG	4	Leu/Trp	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Morlock GP AAC 2000	11	TTG/TCG	4	Leu/Ser	1999			Sequencing	Whole gene	Z	800	Proportion method	37/60	1/0	
+PZA	pncA	Scorpio A AAC 1997	14	ATC/AGC	5	Ile/Ser	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Escalante P TuberLung Dis 1998	19	GTC/ATC	7	Val/Ile	1995, 1996	patients w/ pulmonary TB	Peru	Sequencing	Whole gene	ZHRPES		Proportion method	40146	1/0	"katG, 315, AGC/ACC; rpoB, 531, TCG/TTG; "
+PZA	pncA	Escalante P TuberLung Dis 1998	19	GTC/TTC	7	Val/Phe	1995, 1996	patients w/ pulmonary TB	Peru	Sequencing	Whole gene	ZHRPS		Proportion method	40146	1/0	"katG, 315, AGC/ACC; rpoB, 531, TCG/TTG; embB, 328, GAT:A del"
+PZA	pncA	Hirano  K TLD 1997	20	GTC/GGC	7	Val/Gly	1997	168 mtb strain isolated in 9 Asian countries and Canada	Yemen	Sequencing	Whole gene	ZHRSE	>800	Proportion method	33/168	2/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	20	GTC/GAC	7	Val/Asp	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Marttila HJ AAC 1999	22	GAC/TAC	8	Asp/Tyr	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Lee KW J Korean Med Sci 2001	23	GAC/GGC	8	Asp/Gly	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Scorpio A AAC 1997	24	GAC/GAG	8	Asp/Glu	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	26	GTG/GCG	9	Val/Ala	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	26	GTG/GGG	9	Val/Gly	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	26	GTG/TTG	9	Val/Leu	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Chan RCY JAC 2007	27	GTG/TCG	9	Val/Ser	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Scorpio A AAC 1997	28	del C	10	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Marttila HJ AAC 1999	28	CAA/AAA	10	Gln/Lys	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Marttila HJ AAC 1999	28	CAA/TAA	10	Gln/STOP	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Cheng SJ AAC 2000	29	CAG/CGA	10	Gln/Arg	1990-1992		USA	Sequencing	Whole gene	ZHREO	>900	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Hirano  K TLD 1997	29	CAG/CCG	10	Gln/Pro	1997	168 mtb strain isolated in 9 Asian countries and Canada	Myanmar	Sequencing	Whole gene	ZHRSE	>800	Proportion method	33/168	1/0	
+PZA	pncA	Morlock GP AAC 2000	29	CAG/CCA	10	Gln/Pro	1999			Sequencing	Whole gene	Z	800	Proportion method	37/60	1/0	
+PZA	pncA	Scorpio A AAC 1997	34	GAC/AAC	12	Asp/Asn	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Scorpio A AAC 1997	35	GAC/GCC	12	Asp/Ala	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Lemaitre N AAC 1999	38	TTC/TCC 	13	Phe/Ser	1987		France	Sequencing	Whole gene	ZHRES	>2000		19/35	1/0	
+PZA	pncA	Scorpio A AAC 1997	40	TGC/CGC	14	Cys/Arg	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	40	TGC/CGC	14	Cys/His	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Lee KW J Korean Med Sci 2001	41	TGC/TAC	14	Cys/Tyr	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Chan RCY JAC 2007	47	del G	16	Frameshift	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Hirano  K TLD 1997	50	GGC/GAC	17	Gly/Asp	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHRS	>800	Proportion method	33/168	2/0	
+PZA	pncA	Chan RCY JAC 2007	50	GGC/GTC	17	Gly/Val	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Cheng SJ AAC 2000	52	ins GG	17	Frameshift			USA	Sequencing	Whole gene	ZHR	>900	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Chan RCY JAC 2007	56	CTG/CGG	19	Leu/Arg	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Sreevatsan S AAC 1997	56	CTG/CCG	19	Leu/Pro	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460 	67/118	1/0	
+PZA	pncA	Chan RCY JAC 2007	62	GTA/GGA	21	Val/Gly	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Chan RCY JAC 2007	64	del A	22	Frameshift	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Hou L Epi Infect 2000	59	del C	20	Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRSE	1800	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	68-69	GGT/GTC	23	Gly/Val	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	70	del G	24	Frameshift	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	7/0	
+PZA	pncA	Hou L Epi Infect 2000	71	del G	24	Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRH	600	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	74-75	GCC/GAA	25	Ala/Glu	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Scorpio A AAC 1997	77	GCG/GGG	26	Ala/Gly	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Marttila HJ AAC 1999	84	del C	28	Frameshift	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Lee KW J Korean Med Sci 2001	83	GCC/GAC	28	Ala/Asp	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Hannan MM JCM 2001	88-112	del 24bp	29	Frameshift	1996-1999	isolates from 5 counties in California	California, USA	Sequencing	Whole gene	Z		BACTEC radiometric testing	39883	1/0	
+PZA	pncA	Scorpio A AAC 1997	98-216	del 118bp	33	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Scorpio A AAC 1997	100	ins T	34	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Hirano  K TLD 1997	101	TAC/TCC	34	Tyr/Ser	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHRSE	>800	Proportion method	33/168	2/0	
+PZA	pncA	Stavrum R PlosOne 2009	104	CTG/CCG	35	Leu/Pro	Published 2009		India	Sequencing	Whole gene			N.S.		1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	104	CTG/CGG	35	Leu/Arg	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	109-110	GGA/TAA	37	Glu/STOP	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Morlock GP AAC 2000	106	del 5.3kb	35	Frameshift/Truncation	1999			Sequencing	Whole gene	Z	800	Proportion method	37/60	1/0	
+PZA	pncA	Hou L Epi Infect 2000	121	TAC/CAC	41	Tyr/His	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZHRE	600	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Hirano  K TLD 1997	123	TAC/TAA	41	Tyr/STOP	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHRSE	>800	Middlebrook 7H11 agar w/ pH of 6.0	33/168	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	123	TAC/TAG	41	Tyr/STOP	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Hirano  K TLD 1997	128	CAC/CCC	43	His/Pro	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHR	>800	Proportion method	33/168	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	134	GTG/GGG	45	Val/Gly	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Hirano  K TLD 1997	136	ins G	46	Frameshift	1997	168 mtb strain isolated in 9 Asian countries and Canada	Yemen	Sequencing	Whole gene	ZHE	>800	Proportion method	33/168	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	136	GCA/CCA	46	Ala/Pro	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Cheng SJ AAC 2000	137	GCA/GAA	46	Ala/Glu			South korea	Sequencing	Whole gene	Z	>500	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Cheng SJ AAC 2000	137	GCA/GTA	46	Ala/Val			South korea	Sequencing	Whole gene	Z	>500	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Hou L Epi Infect 2000	139	ACC/CCC	47	Thr/Pro	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRSE	1500	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Marttila HJ AAC 1999	139	ACC/TCC	47	Thr/Ser	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Sreevatsan S AAC 1997	139	ACC/GCC	47	Thr/Ala	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	11/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	145	GAC/CAC	49	Asp/His	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Lee KW J Korean Med Sci 2001	146	GAC/GCC	49	Asp/Ala	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Marttila HJ AAC 1999	146	GAC/GTC	49	Asp/Val	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Marttila HJ AAC 1999	146	GAC/GGC	49	Asp/Gly	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Rodrigues V de F AAC 2005	151	CAC/AAC	51	His/Asn	1998-2003	Selected according to culture availability in health centers in Brazl	Brazil	Sequencing	Whole gene	Z		Proportion method	59	40	
+PZA	pncA	Mestdagh M AAC 1999	151	CAC/TAC	51	His/Tyr	1999	54 MDR mtb clinical strains	Scotland	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	151-230	del 80bp	50	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South Korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Hirano  K TLD 1997	152	CAC/CCC	51	His/Pro	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHR	>800	Proportion method	33/168	1/0	
+PZA	pncA	Hirano  K TLD 1997	152	CAC/CGC	51	His/Arg	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHR	>800	Proportion method	33/168	1/0	
+PZA	pncA	Sekiguchi JI JCM 2007	153	CAC/CAG	51	His/Gln	2006	TB patients in Japan and Poland	Poland	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0	
+PZA	pncA	Sekiguchi JI JCM 2007	153	CAC/CAA	51	His/Gln	2006	TB patients in Japan and Poland	Japan	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	2/0	
+PZA	pncA	Sekiguchi JI JCM 2007	151	GAC/AAC	53	Asp/Asn	2006	TB patients in Japan and Poland	Japan	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0	
+PZA	pncA	Cheng SJ AAC 2000	158	GAC/GCC	53	Asp/Ala			South korea	Sequencing	Whole gene	Z	>100	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	158	del A	53	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South Korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	160	CCG/ACG	54	Pro/Thr	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	161	CCG/CTG	54	Pro/Leu	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Lee KW J Korean Med Sci 2001	161	del C	54	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South Korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Scorpio A AAC 1997	162	ins T	54	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Scorpio A Nature Med 1996	162	del G	54	Frameshift		clinical isolates from L. Heifets, National Jewish Center for Immunology and Resp. Diseases	USA	Sequencing	Whole gene	MDR	>500ug/ml	"7H9 liquid medium, pH5.6; PZase activity assayed according to Wayne's method "	39910	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	169	CAC/TAC	57	His/Tyr	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Sreevatsan S AAC 1997	169	CAC/GAC	57	His/Asp	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	2/0	
+PZA	pncA	Brown TJ JMedMicro 2000	170	CAC/CCC	57	His/Pro	2000	"4 sensitive, 6 MDR from Turkey; 8 isolates from nosocomial MDR TB outbreak in UK "	Turkey	Sequencing	Whole gene	ZHRP		"BACTEC radiometric-based culture method, standard protocol; and PZase activity"	13/18	1/0	A2416T (rpoB)
+PZA	pncA	Chan RCY JAC 2007	170	CAC/CTC	57	His/Leu	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	172	del T	58	Frameshift	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Escalante P TuberLung Dis 1998	172	TTC/CTC	58	Phe/Leu	1995-1996	patients w/ pulmonary TB	Peru	Sequencing	Whole gene	ZHR		Proportion method	40146	1/0	"katG, 315, AGC/ACC; rpoB, 526 cac/ctc; embB, 306, ATG/ATA "
+PZA	pncA	Hirano  K TLD 1997	174	TTC/TTG	58	Phe/Leu	1997	168 mtb strain isolated in 9 Asian countries and Canada	Canada	Sequencing	Whole gene	ZHRS	400	Proportion method	33/168	1/0	
+PZA	pncA	Brown TJ JMedMicro 2000	175	TCC/CCC	59	Ser/Pro	2000	"4 sensitive, 6 MDR from Turkey; 8 isolates from nosocomial MDR TB outbreak in UK "	Turkey	Sequencing	Whole gene	ZHRP		BACTEC 460 	13/18	1/0	C2431T (rpoB)
+PZA	pncA	Lemaitre N AAC 1999	181	ACA/CCA	61	Thr/Pro	1992		France	Sequencing	Whole gene	ZHRES	500ug/ml		19/35	1/0	
+PZA	pncA	Mestdagh M AAC 1999	185	CCG/CAG??	62	Pro/His 	1999	54 MDR mtb clinical strains	Azerbaijan	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Morlock GP AAC 2000	185	CCG/CGG	62	Pro/Arg	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	1/0	
+PZA	pncA	Chan RCY JAC 2007	186	CCG/CTG	62	Pro/Leu	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Hirano  K TLD 1997	188	GAC/GGC	63	Asp/Gly	1997	168 mtb strain isolated in 9 Asian countries and Canada	Yemen	Sequencing	Whole gene	ZHRS	>800	Proportion method	33/168	1/0	
+PZA	pncA	Scorpio A Nature Med 1996	187	GAC/CAC	63	Asp/His		clinical isolates from L. Heifets, National Jewish Center for Immunology and Resp. Diseases	USA (Colorado)	Sequencing	Whole gene	MDR	>500ug/ml	PZase test with Wayne's method	39910	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	190	TAT/GAT	64	Tyr/Asp	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lemaitre N AAC 1999	192	ins A	64	Frameshift	1996		France	Sequencing	Whole gene	ZSHE	1000ug/ml			1/0	
+PZA	pncA	Mestdagh M AAC 1999	195-263	del 68bp	65	Frameshift	1999	54 MDR mtb clinical strains	Azerbaijan	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Marttila HJ AAC 1999	196	TCG/CCG	66	Ser/Pro	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Hirano  K TLD 1997	199	TCG/CCG	67	Ser/Pro	1997	168 mtb strain isolated in 9 Asian countries and Canada	Canada	Sequencing	Whole gene	ZHRSE	>800	Proportion method	33/168	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	202	TGG/CGG	68	Trp/Arg	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	202	TGG/GGG	68	Trp/Gly	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Cheng SJ AAC 2000	203	TGG/TCA	68	Trp/STOP			USA	Sequencing	Whole gene	Z	>900	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	203	TGG/TCG	68	Trp/Ser	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	203	TGG/TTG	68	Trp/Leu	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Scorpio A AAC 1997	206	CCA/CGA	69	Pro/Arg	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>300ug/ml	Pzase testing by Wayne's method	46/46	2/0	
+PZA	pncA	Hou L Epi Infect 2000	206	CCA/CGA	69	Pro/Arg	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRHSE	1200	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Lemaitre N AAC 1999	206	CCA/CTA 	69	Pro/Leu	1994		France	Sequencing	Whole gene	ZHR	(pH 5.6, 5.8) >2000/>2000		19/35	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	211	CAT/TAT	71	His/Tyr	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	212	CAT/GAT	71	His/Asp	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Morlock GP AAC 2000 	212	CAT/CGT	71	His/Arg	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	1/0	
+PZA	pncA	Cheng SJ AAC 2000	213	CAT/CAG	71	His/Glu			USA	Sequencing	Whole gene	ZHRS	>900	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Scorpio A AAC 1997	214	TGC/CGC	72	Cys/Arg	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	215	TGC/TAC	72	Cys/Tyr	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Sekiguchi JI JCM 2007	216	TGC/TGG	72	Cys/Trp	2006	TB patients in Japan and Poland	Japan	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0	
+PZA	pncA	Lemaitre N AAC 1999	215	ins 29bp	72	Frameshift	1986		France	Sequencing	Whole gene	ZHRS	>2000		19/35	1/0	
+PZA	pncA	Sekiguchi JI JCM 2007	218	ins CGCATTGCCG	73	Frameshift	2006	TB patients in Japan and Poland		Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0	
+PZA	pncA	Mestdagh M AAC 1999	221	ins G	74	Frameshift	1999	54 MDR mtb clinical strains	United Kingdom	Sequencing	Whole gene	Z		BACTEC 460 	23/62	2/0	
+PZA	pncA	Chan RCY JAC 2007	224	ATG/ACG	75	Met/Thr	1994-2004	250 drug-res. Mtb from Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	ZORH	100ug/ml	BACTEC MGIT 960 	89/250	1/0	"Asp94Gly (gyrA); Ser531Leu(rpoB); Met306Val(embB); Ser315Thr(katG)"
+PZA	pncA	Sreevatsan S AAC 1997	226	ACT/CCT	76	Thr/Pro	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Brown TJ JMedMicro 2000	227	ACT/ATT	76	Thr/Ile	2000	"4 sensitive, 6 MDR from Turkey; 8 isolates from nosocomial MDR TB outbreak in UK "	United Kindom, Turkey	Sequencing	Whole gene	ZHRP		BACTEC 460	13/18	8/0	C2431T (rpoB)
+PZA	pncA	Morlock GP AAC 2000	233	GGC/GAC	78	Gly/Asp	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	1/0	
+PZA	pncA	Chan RCY JAC 2007	236	GCG/GGG	79	Ala/Gly	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Brown TJ JMedMicro 2000	239	del A	80	Frameshift	2000	"4 sensitive, 6 MDR from Turkey; 8 isolates from nosocomial MDR TB outbreak in UK "	Turkey	Sequencing	Whole gene	Z		BACTEC 460 	13/18	1/0	C2431T (rpoB)
+PZA	pncA	Sachais BS MolDiag 1998	241	TTC/GTC	80	Phe/Val	1993-1999	clinical isolates from Microbio. Lab of Hospital of Univ. of Penn. & Episcopal Hosp. in PA	USA	Sequencing	Whole gene	Z		BACTEC at pH 6.4	39856	1/0	
+PZA	pncA	Brown TJ JMedMicro 2000	244	CAT/TAT Error? This makes Tyr not Asp.	82	His/Asp	2000	"4 sensitive, 6 MDR from Turkey; 8 isolates from nosocomial MDR TB outbreak in UK "	Turkey	Sequencing	Whole gene	ZHRP		BACTEC 460 	13/18	1/0	A2386T (rpoB)
+PZA	pncA	Cheng SJ AAC 2000	245	CAT/CGT	82	His/Arg			USA	Sequencing	Whole gene	ZHRES	300	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Rodrigues V de F AAC 2005	246	CAT/CTT	82	His/Leu	1998-2003	Selected according to culture availability in health centers in Brazl	Brazil	Sequencing	Whole gene	Z		Proportion method	59	40	
+PZA	pncA	Peridgao J MDR 2008	250	ins C		Frameshift	2003	National Institute of Health, Lisbon	Portugal	Sequencing	Whole gene	ZHRS		MGIT 960	48/58	3/0	
+PZA	pncA	Mestdagh M AAC 1999	254	CTG/CGG	85	Leu/Arg	1999	54 MDR mtb clinical strains	Azerbaijan	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Scorpio A AAC 1997	254	CTG/CCG	85	Leu/Pro	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	3/0	
+PZA	pncA	Lemaitre N AAC 1999	260	ACG/ATG	87	Thr/Met	1987		France	Sequencing	Whole gene	ZHRES	1000-1500		19/35	1/0	
+PZA	pncA	Hou L Epi Infect 2000	263	TCG/TAG	88	Ser/STOP	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZHRES	>2000	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Hannan MM JCM 2001	269	ATC/AGC	90	Ile/Ser	1996-1999	isolates from 5 counties in California	USA	Sequencing	Whole gene	Z		BACTEC radiometric testing	39883	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	269	ATC/AGC	90	Ile/Ser	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Sreevatsan S AAC 1997	280	TTC/CCC	94	Phe/Pro	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	2/0	T281C
+PZA	pncA	Peridgao J MDR 2008	282	ins T		Frameshift	2003	National Institute of Health, Lisbon	Portugal	Sequencing	Whole gene	ZHRS		MGIT 960	48/58	1/0	
+PZA	pncA	Peridgao J MDR 2008	285	TAC/TAA	95	Tyr/STOP	2003	National Institute of Health, Lisbon	Portugal	Sequencing	Whole gene	ZHRS		MGIT 960	48/58	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	286	AAG/CAG	96	Lys/Gln	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Marttila HJ AAC 1999	286	AAG/GAG	96	Lys/Glu	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Scorpio A AAC 1997	287	AAG/ACG	96	Lys/Thr	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Hirano  K TLD 1997	287	ins T	96	Frameshift	1997	168 mtb strain isolated in 9 Asian countries and Canada	Canada	Sequencing	Whole gene	ZHRS	>800	Proportion method	33/168	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	287	ins T	96	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Scorpio A AAC 1997	288	AAG/AAT	96	Lys/Asn	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Scorpio A Nature Med 1996	288	del G	96	Frameshift		clinical isolates from L. Heifets, National Jewish Center for Immunology and Resp. Diseases	USA	Sequencing	Whole gene	Z	>500ug/ml	PZase test with Wayne's method	39910	1/0	
+PZA	pncA	Cheng SJ AAC 2000	289	GGT/AGT	97	Gly/Ser			USA	Sequencing	Whole gene	ZHRES	>900	Proportion method, BACTEC 460	59/59	2/0	
+PZA	pncA	Morlock GP AAC 2000	290	GGT/GAT	97	Gly/Asp	1999			Sequencing	Whole gene	Z	400	Proportion method	37/60	1/0	
+PZA	pncA	Hirano  K TLD 1997	297	TAC/TAA	99	Tyr/STOP	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHRSE	>800	Proportion method	33/168	1/0	
+PZA	pncA	Morlock GP AAC 2000	297	TAC/TAG	99	Tyr/STOP	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	2/0	
+PZA	pncA	Cheng SJ AAC 2000	301	ins G	100	Frameshift			South korea	Sequencing	Whole gene	Z	>500	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Hou L Epi Infect 2000	301	ins A	100	Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZHRS	900	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Marttila HJ AAC 1999	304	GCG/ACG	102	Ala/Thr	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Marttila HJ AAC 1999	305	GCG/GTG	102	Ala/Val	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	2/0	not tested
+PZA	pncA	Lemaitre N AAC 1999	306	ins C	102	Frameshift	1989		France	Sequencing	Whole gene	ZHRES	500-1500		19/35	1/0	
+PZA	pncA	Mestdagh M AAC 1999	307	TAC/CAC	103	Tyr/His	1999	54 MDR mtb clinical strains	Canada	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	307	del TACAG	102	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South Korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	308	TAC/TCC	103	Tyr/Ser	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	2/0	
+PZA	pncA	Lemaitre N AAC 1999	308	TAC/TGC	103	Tyr/Cys	1994		France	Sequencing	Whole gene	ZHRE	1500			1/0	
+PZA	pncA	Marttila HJ AAC 1999	309	TAC/TAG	103	Tyr/STOP	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Morlock GP AAC 2000	309	TAC/TAA	103	Tyr/STOP	1999			Sequencing	Whole gene	Z	100	Proportion method	37/60	1/0	
+PZA	pncA	Scorpio A AAC 1997	312	del C	104	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Hirano  K TLD 1997	312	AGC/AGG	104	Ser/Arg	1997	168 mtb strain isolated in 9 Asian countries and Canada	Yemen	Sequencing	Whole gene	ZHRSE	>800	Middlebrook 7H11 agar w/ pH of 6.0	33/168	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	319	GAA/AAA	107	Gly/Lys	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Hirano  K TLD 1997	340	ACG/CCG	114	Thr/Pro	1997	168 mtb strain isolated in 9 Asian countries and Canada	Yemen	Sequencing	Whole gene	ZHR	>800	Middlebrook 7H11 agar w/ pH of 6.0	33/168	1/0	
+PZA	pncA	Cheng SJ AAC 2000	341	del C	114	Frameshift			South Korea	Sequencing	Whole gene	Z	>500	Proportion method, BACTEC 460	59/59	1/0?	
+PZA	pncA	Lemaitre N AAC 1999	341	ins 1355bp	114	Frameshift	1989		France	Sequencing	Whole gene	ZHRE	1000		19/35	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	346	CTG/GTG	116	Leu/Val	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Marttila HJ AAC 1999	347	CTG/CGG	116	Leu/Arg	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Hou L Epi Infect 2000	353	AAT/ACT	118	Asn/Thr	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZHRS	1000	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	355	TGG/CGG	119	Trp/Arg	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Stavrum R PlosOne 2009	357	TGG/TGC	119	Trp/Cys	Published 2009		India	Sequencing	Whole gene	RSHE	> 100 mg/L	Proportion method	13/39	(2/0)	"1) rpoB L511P; S531C; rpsL K42R; katG no mutation; inhA mutation present 2) rpoB L511P; S531C; rpsL K42R; katG mutation present; inhA mutation present"
+PZA	pncA	Lee KW J Korean Med Sci 2001	357	TGG/TGA	119	Trp/STOP	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Portugal I AAC 2004	359	CTG/CCG	120	Leu/Pro	2000-2001	several hospitals in Lisbon	Portugal	Sequencing	Whole gene	Z		BACTEC MGIT 960	55	55	
+PZA	pncA	Sreevatsan S AAC 1997	362	CGG/CCG	121	Arg/Pro	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Hou L Epi Infect 2000	368	ins AG	123	Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRHSE	1000	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	368	ins 18bp	123	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Marttila HJ AAC 1999	374	GTC/GAC	125	Val/Asp	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Peridgao J MDR 2008	374	GTC/GGC	125	Val/Gly	2003	National Institute of Health, Lisbon	Portugal	Sequencing	Whole gene	ZHRS		MGIT 960	48/58	19/0	
+PZA	pncA	Marttila HJ AAC 1999	379-389	del 11bp	126	Frameshift	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Lee KW J Korean Med Sci 2001	381	del GG	127	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South Korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Peridgao J MDR 2008	381	del 9bp	127	Frameshift	2003	National Institute of Health, Lisbon	Portugal	Sequencing	Whole gene	ZHRS		MGIT 960	48/58	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	382	ins AG	127	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Rodrigues V de F AAC 2005	384	GTC/GGC	128	Val/Gly	1998-2003	Selected according to culture availability in health centers in Brazl	Brazil	Sequencing	Whole gene	Z		Proportion method and Pzase test	59	40	
+PZA	pncA	Lee KW J Korean Med Sci 2001	386-389	del ATGT	129	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South Korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Morlock GP AAC 2000	388	ins GAGGTCGAT	129	ins Glu Val Asp	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	388	ins AGGTCGATG	129	Ins Arg Ser Met	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	4/0	
+PZA	pncA	Hirano  K TLD 1997	389	GTG/GGG	130	Val/Gly	1997	168 mtb strain isolated in 9 Asian countries and Canada	Canada	Sequencing	Whole gene	ZHRSE	>800	Middlebrook 7H11 agar w/ pH of 6.0	33/168	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	391	ins GG	130	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lemaitre N AAC 1999	391	ins GG	130	Frameshift	1988		France	Sequencing	Whole gene	ZHRES	500-1000		19/35	1/0	
+PZA	pncA	Scorpio A AAC 1997	391	del G	130	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	392	ins G	131	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Hirano  K TLD 1997	395	GGT/GAT	132	Gly/Asp	1997	168 mtb strain isolated in 9 Asian countries and Canada	Myanmar	Sequencing	Whole gene	Z	>800	Proportion method	33/168	1/0	
+PZA	pncA	Scorpio A AAC 1997	394	GGT/AGT	132	Gly/Ser	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	2/0	
+PZA	pncA	Hirano  K TLD 1997	395-411 del	del 16bp	132	Frameshift	1997	168 mtb strain isolated in 9 Asian countries and Canada	India	Sequencing	Whole gene	ZR	>800	Proportion method	33/168	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	397	ins T	132	Frameshift	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Marttila HJ AAC 1999	398	ATT/ACT	133	Ile/Thr	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Morlock GP AAC 2000	398	ATT/AAT	133	Ile/Asn	1999			Sequencing	Whole gene	Z	800	Proportion method	37/60	1/0	
+PZA	pncA	Escalante P TuberLung Dis 1998	401	GCC/GTC	134	Ala/Val	1995-1996	patients w/ pulmonary TB	Peru	Sequencing	Whole gene	ZHRP		Proportion method	40146	1/0	"katG, 315, AGC/ACC; rpoB, 531, TCG/TTG; "
+PZA	pncA	Morlock GP AAC 2000	403	ACC/CCC	135	Thr/Pro	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	1/0	
+PZA	pncA	Hou L Epi Infect 2000	403	ins CC	134	Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRE	1000	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	403	ins C	134	Frameshift	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	406	GAT/TAT	136	Asp/Tyr	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	2/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	406	GAT/AAT	136	Asp/Asn	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Mestdagh M AAC 1999	406	GAT/CAT	136	Asp/His	1999	54 MDR mtb clinical strains	Scotland	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	406	del G	135	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South Korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	407	GAT/GGT	136	Asp/Gly	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Mestdagh M AAC 1999	407-408	ins C	136	Frameshift	1999	54 MDR mtb clinical strains	Azerbaijan	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Scorpio A AAC 1997	410	CAT/CCT	137	His/Pro	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	410	CAT/CGT	137	His/Arg	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	2/0	
+PZA	pncA	Cheng SJ AAC 2000	413	TGT/TCT	138	Cys/Ser			South korea	Sequencing	Whole gene	Z	>500	Proportion method, BACTEC 460	59/59	1/0?	
+PZA	pncA	Scorpio A Nature Med 1996	413	TGT/TAT	138	Cys/Tyr		clinical isolates from L. Heifets, National Jewish Center for Immunology and Resp. Diseases	USA (Colorado)	Sequencing	Whole gene	MDR	>500ug/ml	Pzase testing by Wayne's method	39910	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	414	ins G	138	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Cheng SJ AAC 2000	415	GTG/ATG	139	Val/Met			South korea	Sequencing	Whole gene	Z	>500	Proportion method, BACTEC 460	59/59	1/0?	
+PZA	pncA	Morlock GP AAC 2000	415	GTG/CTG	139	Val/Leu	1999			Sequencing	Whole gene	Z	100	Proportion method	37/60	1/0	
+PZA	pncA	Morlock GP AAC 2000	416	GTG/GGG	139	Val/Gly	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	416	GTG/GCG	139	Val/Ala	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Scorpio A AAC 1997	416	del TG	139	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Cheng SJ AAC 2000	418	CGC/AGC	140	Arg/Ser				Sequencing	Whole gene	Z		Proportion method, BACTEC 460	59/59	20/0	
+PZA	pncA	Lemaitre N AAC 1999	419	del 68bp	140	Frameshift	1992		France	Sequencing	Whole gene	ZHRE	1000		19/35	1/0	
+PZA	pncA	Cheng SJ AAC 2000	420	ins G	140	Frameshift			USA	Sequencing	Whole gene	ZR	>900	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Cheng SJ AAC 2000	420	ins GG	140	Frameshift			USA	Sequencing	Whole gene	ZHRSO	>900	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	421	CAG/TAG	141	Gln/STOP	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Scorpio A Nature Med 1996	422	CAG/CCG	141	Gln/Pro		clinical isolates from L. Heifets, National Jewish Center for Immunology and Resp. Diseases	USA	Sequencing	Whole gene	MDR	>500ug/ml	Pzase testing by Wayne's method	invitro	1/0	
+PZA	pncA	Escalante P TuberLung Dis 1998	424	ACG/CCG	142	Thr/Pro	1995, 1996	patients w/ pulmonary TB	Peru	Sequencing	Whole gene	MDR		Proportion method	40146	1/0	rpoB, 516, GAC/TAC
+PZA	pncA	Hirano  K TLD 1997	424	ACG/GCG	142	Thr/Ala	1997	168 mtb strain isolated in 9 Asian countries and Canada	Myanmar	Sequencing	Whole gene	ZHRSE	>800	Middlebrook 7H11 agar w/ pH of 6.0	33/168	1/0	
+PZA	pncA	Scorpio A AAC 1997	425	ACG/AAG	142	Thr/Lys	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Scorpio A AAC 1997	425	ACG/ATG	142	Thr/Met	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Cheng SJ AAC 2000	428	ins GG	143	Frameshift			South korea	Sequencing	Whole gene	Z	>100	Proportion method, BACTEC 460	59/59	1/0?	
+PZA	pncA	Lee KW J Korean Med Sci 2001	436	GCG/ACG	146	Ala/Thr	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lemaitre N AAC 1999	436	del G	145	Frameshift	1987		France	Sequencing	Whole gene	ZHRE	1000-1500		19/35	1/0	
+PZA	pncA	Hirano  K TLD 1997	437	GCG/GTG	146	Ala/Val	1997	168 mtb strain isolated in 9 Asian countries and Canada	India	Sequencing	Whole gene	ZRS	>800	Proportion method	33/168	1/0	
+PZA	pncA	Peridgao J MDR 2008	439	ins CG	147	Frameshift	2003	National Institute of Health, Lisbon	Portugal	Sequencing	Whole gene	ZHRS		MGIT 960	48/58	1/0	
+PZA	pncA	Sekiguchi JI JCM 2007	442	CGC/AGC	148	Arg/Ser	2006	TB patients in Japan and Poland	Poland	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0	
+PZA	pncA	Brown TJ JMedMicro 2000	442	C/A	148	Arg/Ser	2000	"4 sensitive, 6 MDR from Turkey; 8 isolates from nosocomial MDR TB outbreak in UK "	Turkey	Sequencing	Whole gene	ZHRP		BACTEC 460 	13/18	1/0	C2431G(rpoB)
+PZA	pncA	Scorpio A AAC 1997	443	del G	148	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Cheng SJ AAC 2000	446	del 8bp	149	Frameshift	1990-1992	Canadians	Canada	Sequencing	Whole gene	ZHRE	>300	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Scorpio A AAC 1997	446	ins 8bp	149	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	452	del T	151	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South Korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Morlock GP AAC 2000	458	ACC/AAC	153	Thr/Asn	1999			Sequencing	Whole gene	Z	800	Proportion method	37/60	1/0	
+PZA	pncA	Marttila HJ AAC 1999	460	AGG/GGG	154	Arg/Gly	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Lemaitre N AAC 1999	464	GTG/GGG	155	Val/Gly	1987		France	Sequencing	Whole gene	ZHRE	1500		19/35	1/0	
+PZA	pncA	Escalante P TuberLung Dis 1998	464	GTG/GCG	155	Val/Ala	1995, 1996	patients w/ pulmonary TB	Peru	Sequencing	Whole gene	ZHRES		Proportion method	40146	1/0	"katG, 315, AGC/ACC; rpoB, 531, TCG/TTG; "
+PZA	pncA	Lee KW J Korean Med Sci 2001	465	ins T	155	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	2/0	
+PZA	pncA	Scorpio A AAC 1997	475	del C	158	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	476	CTG/CCG	159	Leu/Pro	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Lee KW J Korean Med Sci 2001	476	CTG/CGG	159	Leu/Arg	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Marttila HJ AAC 1999	478	ACA/CCA	160	Thr/Pro	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	2/0	not tested
+PZA	pncA	Lee KW J Korean Med Sci 2001	480	ins TGAC	160	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Marttila HJ AAC 1999	481	GCG/CCG	161	Ala/Pro	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	2/0	not tested
+PZA	pncA	Chan RCY JAC 2007	485	GGT/GAT	162	Gly/Asp	1994-2004	250 drug-res. Mtb from Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	ZOREth	100mg/L	BACTEC MGIT 960	89/250	1/0	"Asp94Gly (gyrA); Ser531Leu(rpoB); Met306Val(embB)"
+PZA	pncA	Hou L Epi Infect 2000	501	ins CG	167	Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZSHE	900	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Cheng SJ AAC 2000	503	ACC/AAC	168	Thr/Asn			Canada	Sequencing	Whole gene	ZRO	300	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Mestdagh M AAC 1999	511	GCG/ACG	171	Ala/Thr	1999	54 MDR mtb clinical strains	Bangladesh	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Sachais BS MolDiag 1998	511	GCG/CCG	171	Ala/Pro	1993-1999	clinical isolates from Microbio. Lab of Hospital of Univ. of Penn. & Episcopal Hosp. in PA	USA	Sequencing	Whole gene	Z		BACTEC at pH 6.4	39856	1/0	
+PZA	pncA	Mestdagh M AAC 1999	512	GCG/GTG	171	Ala/Val	1999	54 MDR mtb clinical strains	Scotland	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Rodrigues V de F AAC 2005	512	GCG/GAG	171	Ala/Glu	1998-2003	Selected according to culture availability in health centers in Brazl	Brazil	Sequencing	Whole gene	Z		Proportion method	59	40		
+PZA	pncA	Mestdagh M AAC 1999	512	del C	171	Frameshift	1999	54 MDR mtb clinical strains	Rwanda	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0		
+PZA	pncA	Hirano  K TLD 1997	515	CTG/CCG	172	Leu/Pro	1997	168 mtb strain isolated in 9 Asian countries and Canada	Canada	Sequencing	Whole gene	ZHRSE	>800	Proportion method	33/168	1/0		
+PZA	pncA	Mestdagh M AAC 1999	514-515	CTG/GCG	172	Leu/Ala	1999	54 MDR mtb clinical strains	Belgium	Sequencing	Whole gene	Z		BACTEC 460 	23/62	2/0		
+PZA	pncA	Scorpio A AAC 1997	518	ins 5bp	173	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0		
+PZA	pncA	Sekiguchi JI JCM 2007	523	ATG/GTG	175	Met/Val	2006	TB patients in Japan and Poland	Japan	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0		
+PZA	pncA	Lee KW J Korean Med Sci 2001	532	ins C	177	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0		
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	535	AGC/CGC	179	Ser/Arg	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68		
+PZA	pncA	Lee KW J Korean Med Sci 2001	538	GTC/TTC	180	Val/Phe	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0		
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	543	GAG/GAT	181	Glu/Asp	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68		
+PZA	pncA	Lemaitre N AAC 1999	545	TTG/TCG	182	Leu/Ser	1997		France	Sequencing	Whole gene	ZHRS	500-2000ug/ml		19/35	1/0		
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	554	AGC/ACC	185	Ser/Thr	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68		
+PZA	pncA	Chan RCY JAC 2007	554	AGC/ATC	185	Ser/Ile	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89		
+
+RIFAMPICIN [RIF]																		
+																		
+	rpoB																	
+Drug	Gene	Primary reference	Review reference 1	SNP	Codon position in Ecoli	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	Resistant isolates/Total isolates tested for mutation	Resistant/Sensitive isolates with mutation	Additional mutations	
+RIF	rpoB	Heep M AAC 2000	O'Sullivan DM JAntiChemo 2005	GTC/TTC	146	Val/Phe	Published 2003	6 isolates from Japan for which MICs of rifampin were elevated but with wild-type sequence in the rpoB cluster region. N=6	Japan	Sequencing	Whole gene	R	1-4, 8-32 ug/ml	N.S.	(6/6 || 3 high level of resistance / 6 total)	(3/0)		
+RIF	rpoB	Taniguchi H FEMS Micro 1996		GCG/GTG	381	Ala/Val	Published 1997	39 clinical isolates (including MDR-TB strains) from Koga Hospital, Nougata central hospital, and Fukuoka-Higashi hospital. N=39	Japan	Sequencing	Whole gene	R	200 ug/ml	Proportion method, absolute concentration method	21/39	(1/0)		
+RIF	rpoB	Cavusoglu C JCM 2002	O'Sullivan DM JAntiChemo 2005	CAG/CAT	490	Gln/His	Published 2002	41 RIF-resistant isolates from Reion Tuberculosis Laboratory and Ege University Mycobacteriology Laboratory. N=41	Turkey	Line probe assay, Sequencing 	RRDR	R, RE, RHE, RH, RHES, RHS	N.S.	Proportion method	41/41	(1/0)		
+RIF	rpoB	Schilke K IntJTubLungDis 1999		GAG/GCG	504	Glu/Ala	Published 1999	87 MDR strains from 12 hospitals in Southern African regions + 13 RIF-resistant strains of M. africanum + 3 RIF-resistant strains of M. tuberculosis from Sierra Leone and Uganda + 2 RIF-resistant strains of M. tuberculosis from Namibia. N=105	South Africa	Sequencing	RRDR	MDR	N.S.	Not specified	105/105	(2/0)	Double mutation with 531	
+RIF	rpoB	Heym B Lancet 1994		TTC/TTG	505	Phe /Leu	1991-1992	###############################################################################################################################################################################################################################################################	La Reunion	PCR-SSCP		RSHE	> 100 mg/L	Proportion method	13/39	(2/0)	"1) rpoB L511P; S531C; rpsL K42R; katG no mutation; inhA mutation present 2) rpoB L511P; S531C; rpsL K42R; ka [...]
+RIF	rpoB	Stavrum R PlosOne 2009		TTC/TTA	505	Phe /Leu	Published 2009		India	Sequencing	Whole gene	RSHE	> 100 mg/L	Proportion method	13/39	(2/0)	"1) rpoB L511P; S531C; rpsL K42R; katG no mutation; inhA mutation present 2) rpoB L511P; S531C; rpsL K42R; katG mutation present; inhA mutation present"	
+RIF	rpoB	Wang Q JProtRes 2007		TTC/TCC	505	Phe/Ser	Published 1997		China	Sequencing	Whole gene	R	N.S.	Proportion method, absolute concentration method	112/30	1/0		
+RIF	rpoB	Bahrmand AR JCM 2009		GGC/AGC	507	Gly/Ser	2005-2006	286 isolates from sputa of patients with active pulmonary TB from the southern border of Iran, Zabol province, Afghanistan border.	Iran	Sequencing	411bp fragment of rpoB	41R, 37MDR	<50 ug/ml	Proportion method	41/286	1/0	rpoB T508P	
+RIF	rpoB	Kim BJ JCM 1997	Ramaswamy S Musser JM Tubercle lung Dis 1998	GGC/GAC	507	Gly/Asp	Published 1997	Clinical isolates, both RIF-R (n=32) and RIF-S (n=26) from different patients. Total N=58	South Korea	PCR-SSCP, Sequencing	RRDR	R	N.S.	Absolute concentration method. 	32/58	1/0	Location of double mutants not specified.	
+RIF	rpoB	Bahrmand AR JCM 2009		GGC/GAT	507	Gly/Asp	2005-2006	286 isolates from sputa of patients with active pulmonary TB from the southern border of Iran, Zabol province, Afghanistan border.	Iran	Sequencing	411bp fragment of rpoB	41R, 37MDR	>100 ug/ml	Proportion method	41/286	2/0	rpoB Q513STOP, H526Y, S531F	
+RIF	rpoB	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	Ramaswamy S Musser JM Tubercle lung Dis 1998	del GGC ACC	507	del Gly Thr												
+RIF	rpoB	Bahrmand AR JCM 2009		ACC/CAC	508	Thr/His	2005-2006	286 isolates from sputa of patients with active pulmonary TB from the southern border of Iran, Zabol province, Afghanistan border.	Iran	Sequencing	411bp fragment of rpoB	41R, 37MDR	>100 ug/ml	Proportion method	41/286	6/0	rpoB H526Q, S531F	
+RIF	rpoB	Bahrmand AR JCM 2009		ACC/CCC	508	Thr/Pro	2005-2006	286 isolates from sputa of patients with active pulmonary TB from the southern border of Iran, Zabol province, Afghanistan border.	Iran	Sequencing	411bp fragment of rpoB	41R, 37MDR	<50 ug/ml	Proportion method	41/286	4/0	rpoB G507S	
+RIF	rpoB	Bahrmand AR JCM 2009		ACC/GCC	508	Thr/Ala	2005-2006	286 isolates from sputa of patients with active pulmonary TB from the southern border of Iran, Zabol province, Afghanistan border.	Iran	Sequencing	411bp fragment of rpoB	41R, 37MDR	<75 ug/ml	Proportion method	41/286	2/0	rpoB G523A	
+RIF	rpoB	Mani C JCM 2001		ACC/AGC	508	Thr/Ser	Published 2001	RIF-R (n=44) and RIF-S (n=6) isolates from 50 patients. Total N=50	India	Sequencing	RRDR	R	>128ug/ml	Proportion method	44/50	1/0	None described in the region sequenced.
+RIF	rpoB	Matsiota-Bernard P JCM 1998		ACC/GCT	508	Thr/Ser	1995-1996	RIF-R clinical isolates. N=17	Greece	Line probe assay, Sequencing	RRDR	RHSEth	N.S.	Proportion method	17/17	1/0	None described in the region sequenced.
+RIF	rpoB	Zenteno-Cuevas R MemInstOswaldCruz 2009		AGC/CAG	509	Ser/Gln	2007		Mexico	Sequencing	RRDR	HRSEZ	N.S.	BACTEC 460	15/25	1/0	None
+RIF	rpoB	Williams D AAC 1994		AGC/ACC	509	Ser/Thr	Published 1994	110 RIF-resistant and 10 RIF-susceptible strains from different geographic regions across the world. N=120	Canada	Sequencing	RRDR	RHES	N.S.	Proportion method	108/120	(1/0)	Double mutation with 526 (Asp)
+RIF	rpoB	Sekiguchi J JCM 2007 Jan		AGC/AGG	509	Ser/Arg	Published 2007	105 and 33 clinical isolates were obtained from patients with pulmonary tuberculosis in Japan and Poland, respectively. N=138	Japan 	Sequencing	RRDR	R, MDR	N.S.	Proportion method, BACTEC	28/138	(0/1)	
+RIF	rpoB	Zenteno-Cuevas R MemInstOswaldCruz 2009		CAG/AAG	510	Gln/Lys	2007		Mexico	Sequencing	RRDR	HREZ	N.S.	BACTEC 460	15/25	1/0	None
+RIF	rpoB	Sajduda A JCM 2004	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAG/CAC	510	Gln/His	2000	###############################################################################################################################################################################################################################################################	Poland	real-time sequencing FRET 	RRDR	R, MDR	N.S.	BACTEC 460	64/113	(2/0)	rpoB: double mutation with 516 GAC/TAC
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	CTG/CCG	511	Leu/Pro	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	4/0	"One of the strains was also Asp441Glu; another was Asp441Tyr; the third was also Ser437Thr."
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	CTG/CGG	511	Leu/Arg	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	2/0	None described in the region sequenced.
+RIF	rpoB	Siddiqi N AAC 2002	O'Sullivan DM JAntiChemo 2005	CTG/GTG	511	Leu/Val	1995-1998	126 clinical isolates that were drug resistant. N=126	India	Sequencing	RRDR	R,O	Not listed in Table	Proportion method	94/126	(2/0)	"1) rpoB dual mutation with N518T; gyrA S95T; 2) gyrA S95T"
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	AGC/ACC	512	Ser/Thr	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	1/0	Also mutated at Leu436Pro.
+RIF	rpoB	Sajduda A JCM 2004		AGC/ATC	512	Ser/Ile	2001	###############################################################################################################################################################################################################################################################	Poland	real-time sequencing FRET 	RRDR	R, MDR	N.S.	BACTEC 460	64/113	(1/0)	rpoB: double mutation with 516 GAC/GGC
+RIF	rpoB	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	Ramaswamy S Musser JM Tubercle lung Dis 1998	AGC/CGC	512	Ser/Arg											
+RIF	rpoB	Chan RCY JAC 2007		AGC/GGC	512	Ser/Gly	1994-2004	Consecutive isolates that exhibited resistance to one or more drugs. Grantham Hospital and Public Health Laboratory of Hong Kong	Hong Kong	PCR-SSCP, Sequencing	RRDR			Absolute concentration method	250	221	
+RIF	rpoB	Bahrmand AR JCM 2009		CAA/TAA	513	Gln/STOP	2005-2006	286 isolates from sputa of patients with active pulmonary TB from the southern border of Iran, Zabol province, Afghanistan border.	Iran	Sequencing	411bp fragment of rpoB	41R, 37MDR	>100 ug/ml	Proportion method	41/286	2/0	rpoB G507D, H526Y, S531F
+RIF	rpoB	Bahrmand AR JCM 2009		CAA/AAT	513	Gly/Asn	2005-2006	286 isolates from sputa of patients with active pulmonary TB from the southern border of Iran, Zabol province, Afghanistan border.	Iran	Sequencing	411bp fragment of rpoB	41R, 37MDR	>100 ug/ml	Proportion method	41/286	2/0	rpoB S512T, H526F, S531L
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAA/CTA	513	Gln/Leu	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	2/0	None described in the region sequenced.
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAA/AAA	513	Gln/Lys	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	1/0	None described in the region sequenced.
+RIF	rpoB	Prammananan T CMI 2008		CAA/GAA	513	Gln/Glu	2003-2005		Thailand	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	154/113	1/0	None described in the region sequenced.
+RIF	rpoB	Kim BJ JCM 1997		CAA/CCA	513	Gln/Pro	Published 1997	Clinical isolates, both RIF-R (n=32) and RIF-S (n=26) from different patients. Total N=58	South Korea	Sequencing	RRDR	R	N.S.	Absolute concentration method. 	32/58	2/0	Location of double mutants not specified.
+RIF	rpoB	Valim A JCM 2000		CAA/CAC	513	Gln/His									82/100	1/0	
+RIF	rpoB	Secondary Publication: O'Sullivan DM JAntiChemo 2005	O'Sullivan DM JAntiChemo 2005	CAA/CGA	513	Gln/Arg											
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	ins TTC	513	ins Phe	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	2/0	None described in the region sequenced.
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	ins TTC ATG	513	ins Phe Met	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	1/0	None described in the region sequenced.
+RIF	rpoB	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	Ramaswamy S Musser JM Tubercle lung Dis 1998	del CAA TTC	513	del Gln Phe											
+RIF	rpoB	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	Ramaswamy S Musser JM Tubercle lung Dis 1998	del AA TTC ATG G	513	Gln/His and del Phe Met											
+RIF	rpoB	Valim A JCM 2000		del TTC	514	del Phe	1996-1998	"100 isolates from different regions of Brazil: 26 samples (25 RIF-resistant; 1 RIF-susceptible) from Rio de Janeiro. N=100"	Brazil	Sequencing	RRDR	RHSZEth	N.S.	Proportion method	82/100	(1/0)	Same isolate had deletions: 515 (ATG-Met), 516(GAC-Asp) and change in codon 513 CAA(Gln)/CAC(His)
+RIF	rpoB	Taniguchi H FEMS Micro 1996	Ramaswamy S Musser JM Tubercle lung Dis 1998	TTC/TTG	514	Phe/Leu	Published  1996	39 clinical isolates (including MDR-TB strains) from Koga Hospital, Nougata central hospital, and Fukuoka-Higashi hospital. N=39	Japan	Sequencing	Whole gene	R	12.5 ug/ml	Proportion method, absolute concentration method	21/39	(1/0)	
+RIF	rpoB	Valim A JCM 2000		TTC/GTC	514	Phe/Val	1996-1998	"100 isolates from different regions of Brazil: 26 samples (25 RIF-resistant; 1 RIF-susceptible) from Rio de Janeiro. N=100"	Brazil	Sequencing	RRDR	RHSZEth	N.S.	Proportion method	82/100	(1/0)	Same isolate had change in codon 531 TCG(Ser)/TTG(Leu)
+RIF	rpoB	Cavusoglu C JCM 2002		ins CGG	514	ins Arg	Published 2002	41 RIF-resistant isolates from Reion Tuberculosis Laboratory and Ege University Mycobacteriology Laboratory. N=41	Turkey	Line probe assay, Sequencing	RRDR	R, RE,  RHE, RH, RHES, RHS	N.S.	Proportion method	41/41	(1/0)	
+RIF	rpoB	Lipin MY CMI 2007		del C AT	514	Phe/Leu and del Met	1998-2001	"MDR-TB isolates from pulmonary TB patients. Most patients were male (92%); mean age 43yrs; none were co-infected with HIV. N=217"	Russia	Sequencing	RRDR	RHS, RHSK, RHSE	N.S.	Absolute concentration method. 	217/217	1/0	None described in the region sequenced.
+RIF	rpoB	Valim A JCM 2000		del TTC ATG GAC	514	del Phe Met Asp	1996-1998	"100 isolates from different regions of Brazil: 26 samples (25 RIF-resistant; 1 RIF-susceptible) from Rio de Janeiro. N=100"	Brazil	Sequencing	RRDR	RHSZEth	N.S.	Proportion method	82/100	(1/0)	Same isolate had change in codon 513 CAA(Gln)/CAC(His)
+RIF	rpoB	Hillemann D Int J Tuberc Lung Dis 2005		ins TTC	515	ins Phe	2004	"92 MDR (73 also resistant to EMB; 89 to SM; 40 to PZA; 31 to PTH); 50 single INH but RMP-susceptible (16 also resistant to EMB; 44 to SM; 7 to PZA; 12 to PTH); 10 fully susceptible strains that were randomly selected from 42 susceptible strains. N=152"	Kazakhstan, Germany	real-time sequencing FRET 	RRDR	MDR	N.S.	N.S.	92/152	(1/0)	
+RIF	rpoB	Sajduda A JCM 2004		ATG/ATT	515	Met/Ile	2003	###############################################################################################################################################################################################################################################################	Poland	real-time sequencing FRET 	RRDR	R, MDR	N.S.	BACTEC 460	64/113	(8/0)	rpoB: double mutation with 516 GAC/TAC
+RIF	rpoB	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	Ramaswamy S Musser JM Tubercle lung Dis 1998	ATG/ATA	515	Met/Ile											
+RIF	rpoB	Valim A JCM 2000		del ATG GAC CAG AAC	515	del Met Asp Gln Asn	1996-1998	"100 isolates from different regions of Brazil: 26 samples (25 RIF-resistant; 1 RIF-susceptible) from Rio de Janeiro. N=100"	Brazil	Sequencing	RRDR	RHSEZEth	N.S.	Proportion method	82/100	(1/0)	
+RIF	rpoB	Schilke K IntJTubLungDis 1999		GAC/AAC	516	Asp/Asn	Published  1999	87 MDR strains from 12 hospitals in Southern African regions + 13 RIF-resistant strains of M. africanum + 3 RIF-resistant strains of M. tuberculosis from Sierra Leone and Uganda + 2 RIF-resistant strains of M. tuberculosis from Namibia. N=105	South Africa	Sequencing	RRDR	MDR	N.S.	N.S.	105/105	(1/0)	
+RIF	rpoB	Bahrmand AR JCM 2009		GAC/CAC	516	Asp/His	2005-2006	286 isolates from sputa of patients with active pulmonary TB from the southern border of Iran, Zabol province, Afghanistan border.	Iran	Sequencing	411bp fragment of rpoB	41R, 37MDR	50-75 ug/ml	Proportion method	41/286	3/0	rpoB D516H, H526R
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	GAC/GTC	516	Asp/Val	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	1/0	None described in the region sequenced.
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	GAC/GAG	516	Asp/Glu	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	2/0	Also mutated at Leu436Pro.
+RIF	rpoB	Hillemann D Int J Tuberc Lung Dis 2005	Ramaswamy S Musser JM Tubercle lung Dis 1998	GAC/GGC	516	Asp/Gly	2004	"92 MDR (73 also resistant to EMB; 89 to SM; 40 to PZA; 31 to PTH); 50 single INH but RMP-susceptible (16 also resistant to EMB; 44 to SM; 7 to PZA; 12 to PTH); 10 fully susceptible strains that were randomly selected from 42 susceptible strains. N=152"	Kazakhstan, Germany	real-time sequencing FRET 	RRDR	MDR	N.S.	N.S.	92/152	(1/0)	
+RIF	rpoB	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	Ramaswamy S Musser JM Tubercle lung Dis 1998	GAC/GCC	516	Asp/Ala											
+RIF	rpoB	Sajduda A JCM 2004		GAC/GTG	516	Asp/Val	2004	###############################################################################################################################################################################################################################################################	Poland	real-time sequencing FRET 	RRDR	R, MDR	N.S.	BACTEC 460	64/113	(1/0)	None
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	GAC/TAC	516	Asp/Tyr	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	2/0	Also mutated at Leu436Pro.
+RIF	rpoB	Hillemann D Int J Tuberc Lung Dis 2005		GAC/TTC	516	Asp/Phe	2004	"92 MDR (73 also resistant to EMB; 89 to SM; 40 to PZA; 31 to PTH); 50 single INH but RMP-susceptible (16 also resistant to EMB; 44 to SM; 7 to PZA; 12 to PTH); 10 fully susceptible strains that were randomly selected from 42 susceptible strains. N=152"	Kazakhstan, Germany	real-time sequencing FRET 	RRDR	MDR	N.S.	N.S.	92/152	(1/0)	
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	del GAC CAG	516	del Asp Gln	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	2/0	None described in the region sequenced.
+RIF	rpoB	Xueqiong W MolBiotech 2009		GAC/CAC	517	Gln/His	2002-2005		China	Sequencing	RRDR	RSE	N.S.	Absolute concentration method	112/148	1/0	rpoB N518D
+RIF	rpoB	Mani C JCM 2001		del GAC	517	del Gln	Published 2001	RIF-R (n=44) and RIF-S (n=6) isolates from 50 patients. Total N=50	India	Sequencing	RRDR	R	>128ug/ml	Proportion method	44/50	1/0	None described in the region sequenced.
+RIF	rpoB	Sajduda A JCM 2004		CAA/CTA	517	Gln/Leu	2005	###############################################################################################################################################################################################################################################################	Poland	real-time sequencing FRET	RRDR	R, MDR	N.S.	BACTEC 460	64/113	(1/0)	None
+RIF	rpoB	Hillemann D AAC 2005		del CAG AAC	517	del Gln Asn	2001	113 strains (103 MDR and 10 randomly chosen fully susceptible). N=113	Germany	real-time sequencing	RRDR	MDR	N.S.		103/113	(1/0)	katG 315 AGC-ACC/Ser-Thr 
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	del CAG AAC	517	del Gln Asn	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	1/0	None described in the region sequenced.
+RIF	rpoB	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	Ramaswamy S Musser JM Tubercle lung Dis 1998	del G AAC AA	517	Gln/His and del Asn Asn											
+RIF	rpoB	Wang Q JProtRes 2007		AAC/TAC	518	Asn/Tyr	Published 1997		China	Sequencing	Whole gene	R	N.S.	Proportion method, absolute concentration method	112/30	1/0	
+RIF	rpoB	Siddiqi N AAC 2002		AAC/ACC	518	Asn/Thr	1995-1998	126 clinical isolates that were drug resistant. N=126	India	Sequencing	RRDR	RHO, ROS,  RO, RH	N.S.	Proportion method	94/126	(6/0)	"1) rpoB dual mutaton with L511L; katG and inhA NM; gyrA A90A, S95T 3) rpoB dual mutation with R528P; gyrA S95T; rpsL NM; 4) rpoB dual mutaton with L511V; gyrA S95T; 5) gyrA S95T; 6) gyrA NM; 7) rpoB dual mutation with D516V; katG and inhA R463L"
+RIF	rpoB	Hillemann D AAC 2005		AAC/ATC	518	Asn/Ile	2001	113 strains (103 MDR and 10 randomly chosen fully susceptible). N=113	Germany	real-time sequencing	RRDR	MDR	N.S.		103/113	(1/0)	None
+RIF	rpoB	Kim BJ JCM 1997	Ramaswamy S Musser JM Tubercle lung Dis 1998	AAC/CAC	518	Asn/His	Published 1997	Clinical isolates, both RIF-R (n=32) and RIF-S (n=26) from different patients. Total N=58	South Korea	Sequencing and PCR-SSCP	RRDR	R	N.S.	Absolute concentration method. 	32/58	1/0	Location of double mutants not specified.
+RIF	rpoB	Chan RCY JAC 2007		AAC/GAC	518	Asn/Asp	1994-2004	Consecutive isolates that exhibited resistance to one or more drugs. Grantham Hospital and Public Health Laboratory of Hong Kong	Hong Kong	PCR-SSCP, Sequencing	RRDR			Absolute concentration method. 	250	221	
+RIF	rpoB	Bahrmand AR JCM 2009		AAC/AAG	519	Asn/Lys	2005-2006	286 isolates from sputa of patients with active pulmonary TB from the southern border of Iran, Zabol province, Afghanistan border.	Iran	Sequencing	411bp fragment of rpoB	41R, 37MDR	50 ug/ml	Proportion method	41/286	2/0	rpoB L511V, Q513E, H526R
+RIF	rpoB	Heym B Lancet 1994		del AAC	519	del Asn	1991-1992	###############################################################################################################################################################################################################################################################	Russia, Netherlands	PCR-SSCP		MDR	10-100ug/ml	Proportion method	13/39	(2/0)	"1) katG mutation present; inhA no mutation present; 2) katG no mutation present"
+RIF	rpoB	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	Ramaswamy S Musser JM Tubercle lung Dis 1998	CTG/ATG	521	Leu/Met											
+RIF	rpoB	Taniguchi H FEMS Micro 1996		CTG/CCG	521	Leu/Pro	Published  1998	39 clinical isolates (including MDR-TB strains) from Koga Hospital, Nougata central hospital, and Fukuoka-Higashi hospital. N=39	Japan	Sequencing	Whole gene	R	< 0.39 ug/ml	Proportion method, absolute concentration method	21/39	(0/1)	
+RIF	rpoB	Secondary Publication: O'Sullivan DM JAntiChemo 2005	O'Sullivan DM JAntiChemo 2005	CTG/CTA	521	Leu/Leu											
+RIF	rpoB	Bodmer T JAC 1995	Ramaswamy S Musser JM Tubercle lung Dis 1998	TCG/TTG	522	Ser/Leu	Published  1998	122 clinical isolates from patients from diverse geographical locations (Telenti et al, 1993a). 10 RMP-susceptible and 26 RMP-resistant isolates were examined. N=36	N.S.	PCR-SSCP	RRDR	R	8ug/ml	BACTEC 460	26/36	(1/0)	
+RIF	rpoB	Yuen LK JCM 1999	O'Sullivan DM JAntiChemo 2005	TCG/CAG	522	Ser/Gln	1990-1997	"50 clinical isolates collected from different reference laboratories in Australia: 17 RIF sensistive; 33 RIF resistant. N=50"	Timor	Sequencing	RRDR	RH	32-256 ug/ml	Resistance ratio method, ,BACTEC 460, E-test	33/50	(2/0)	None
+RIF	rpoB	Secondary Publication: O'Sullivan DM JAntiChemo 2005	O'Sullivan DM JAntiChemo 2005	TCG/TGG	522	Ser/Trp											
+RIF	rpoB	El Baghdadi J IJTLD 2003		CCC/ACC	523	Gly/Trp	1996-2001	"122 isolates from 112 different patients; 42 Mtb isolates analyzed (37 resistant, 5 sensitive). N=122"	Morocco	Sequencing	RRDR	RHS	N.S.	Resistance ratio method	101/122	(1/0)	
+RIF	rpoB	Pozzi G JCM 1999		GGG/TGG	523	Gly/Trp	Published April 2000	"MDR isolates from three clinical microbiology laboratories; 37 isolates, proven to be from different patients, analyzed for this study. N=37"	Italy	Sequencing	RRDR	RH, RHS, RHSCip, RHSAmi, RHSZ, RHSZAmi, RHSCZ 	8-128ug/ml	Absolute concentration method	37/37	(1/0)	Triple mutation with GAC516TAC and ACC525ATC
+RIF	rpoB	Bahrmand AR JCM 2009		GGG/GCG	523	Gly/Ala	2005-2006	286 isolates from sputa of patients with active pulmonary TB from the southern border of Iran, Zabol province, Afghanistan border.	Iran	Sequencing	411bp fragment of rpoB	41R, 37MDR	>100 ug/ml	Proportion method	41/286	25/0	rpoB T508A or S531L or L511V, or H526R
+RIF	rpoB	Valim A JCM 2000		TTG/TGG	524	Leu/Trp	1996-1998	"100 isolates from different regions of Brazil: 26 samples (25 RIF-resistant; 1 RIF-susceptible) from Rio de Janeiro. N=100"	Brazil	Sequencing	RRDR	MDR	N.S.	Proportion method	82/100	(1/0)	"Same isolate had changes in codons 525 ACC(Thr)/CCC(Pro); 526 CAC(His)/CTG(Leu); 527 del AAG(Lys)"
+RIF	rpoB	Zenteno-Cuevas R MemInstOswaldCruz 2009		TTG/TCG	524	Leu/Ser	2007		Mexico	Sequencing	RRDR	HR	N.S.	BACTEC 460	15/25	1/0	rpoB S531L
+RIF	rpoB	Valim A JCM 2000		ACC/CCC	525	Thr/Pro	1996-1998	"100 isolates from different regions of Brazil: 26 samples (25 RIF-resistant; 1 RIF-susceptible) from Rio de Janeiro. N=100"	Brazil	Sequencing	RRDR	MDR	N.S.	Proportion method	82/100	(1/0)	"Same isolate had changes in codons 524 TTG(Leu)/TGG(Trp); 526 CAC(His)/CTG(Leu); 527 del AAG(Lys)"
+RIF	rpoB	Pozzi G JCM 1999		ACC/ATC	525	Thr/Ile	Published April 2001	"MDR isolates from three clinical microbiology laboratories; 37 isolates, proven to be from different patients, analyzed for this study. N=37"	Italy	Sequencing	RRDR	RH, RHS, RHSCip, RHSAmi, RHSZ, RHSZAmi, RHSCZ 	8-128ug/ml	Proportion method	37/37	(1/0)	Triple mutation with GAC516TAC and GGG523TGG
+RIF	rpoB	Bahrmand AR JCM 2009		CAC/TTC	526	His/Phe	2005-2006	286 isolates from sputa of patients with active pulmonary TB from the southern border of Iran, Zabol province, Afghanistan border.	Iran	Sequencing	411bp fragment of rpoB	41R, 37MDR	>100 ug/ml	Proportion method	41/286	2/0	rpoB S512T, G513N, S531L
+RIF	rpoB	Ramaswamy SV J Med Micro 2004	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAC/AAC	526	His/Asn	1996-2001	Subset of 186 strains initially isolated from patients who attended the Jose E. Gonzalez University Hospital TB clinic. N=37	Mexico	Sequencing		RHSE	N.S.	Proportion method	37/50	(1/0)	"rpoB: Double mutation with 435 GAC/GAG; embB: 306 ATG/ATA1 "
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAC/GAC	526	His/Asp	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	8/0	None described in the region sequenced.
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAC/TAC	526	His/Tyr	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	39/0	None described in the region sequenced.
+RIF	rpoB	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAC/ACC	526	His/Thr											
+RIF	rpoB	Prammananan T CMI 2008		CAC/AGC	526	His/Ser	2003-2005		Thailand	Sequencing	Whole gene	MDR	N.S.	Proportion method	154/113	1/0	rpoB 515 ATG/CTG
+RIF	rpoB	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAC/GGC	526	His/Gly											
+RIF	rpoB	Kim BJ JCM 1997	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAC/TGC	526	His/Cys	Published 1997	Clinical isolates, both RIF-R (n=32) and RIF-S (n=26) from different patients. Total N=58	South Korea	PCR-SSCP, Sequencing	RRDR	R	N.S.	Absolute concentration method. 	32/58	2/0	Location of double mutants not specified.
+RIF	rpoB	Kim BJ JCM 1997	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAC/CGC	526	His/Arg	Published 1997	Clinical isolates, both RIF-R (n=32) and RIF-S (n=26) from different patients. Total N=58	South Korea	PCR-SSCP, Sequencing	RRDR	R	N.S.	Absolute concentration method. 	32/58	1/0	Location of double mutants not specified.
+RIF	rpoB	Bodmer T JAC 1995	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAC/CCC	526	His/Pro	Published  2001	122 clinical isolates from patients from diverse geographical locations (Telenti et al, 1993a). 10 RMP-susceptible and 26 RMP-resistant isolates were examined. N=36	N.S.	PCR-SSCP	RRDR	R	8ug/ml	BACTEC 460	26/36	(2/0)	
+RIF	rpoB	Valim A JCM 2000		CAC/CTG	526	His/Leu	1996-1998	"100 isolates from different regions of Brazil: 26 samples (25 RIF-resistant; 1 RIF-susceptible) from Rio de Janeiro. N=100"	Brazil	Sequencing	RRDR	RHSEZEth	N.S.	Proportion method	82/100	(1/0)	"Same isolate had changes in codons 524 TTG(Leu)/TGG(Trp); 525 ACC(Thr)/CCC(Pro); 527 del AAG(Lys)"
+RIF	rpoB	Sheng J JApplMicro 2008		CAC/CTT	526	His/Leu	2002-2003	56 isolates from patients with pulmonary TB in Zhejiang province	China	PCR-SSCP , Sequencing	RRDR	R	N.S.	Agar proportion method 	49/56	1/0	None in rpoB
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAC/CTC	526	His/Leu	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	2/0	None described in the region sequenced.
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAC/CAA	526	His/Gln	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	1/0	Also mutated at Ser456Cys.
+RIF	rpoB	Bodmer T JAC 1995	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAC/CAG	526	His/Gln	Published 2003	122 clinical isolates from patients from diverse geographical locations (Telenti et al, 1993a). 10 RMP-susceptible and 26 RMP-resistant isolates were examined. N=36	N.S.	PCR-SSCP	RRDR	R	>8ug/ml	BACTEC 460	26/36	(2/0)	Double mutation with 498 Val/Ala
+RIF	rpoB	Siddiqi N AAC 2002	O'Sullivan DM JAntiChemo 2005	AAG/AAT	527	Lys/Asn	1995-1998	126 clinical isolates that were drug resistant. N=126	India	Sequencing	RRDR	HRH	40 ug/ml	Proportion method	94/126	(2/0)	"1) katG or inhA R463L; 2) katG or inhA R463L, rpoB dual mutation with L521L"
+RIF	rpoB	Valim A JCM 2000		del AAG	527	del Lys	1996-1998	"100 isolates from different regions of Brazil: 26 samples (25 RIF-resistant; 1 RIF-susceptible) from Rio de Janeiro. N=100"	Brazil	Sequencing	RRDR	RHSEZEth	N.S.	Proportion method	82/100	(1/0)	"Same isolate had changes in codons 524 TTG(Leu)/TGG(Trp); 525 ACC(Thr)/CCC(Pro); 526 CAC(His)/CTG(Leu)"
+RIF	rpoB	Williams D AAC 1994		AAG/CAG	527	Lys/Gln	Published 1995	110 RIF-resistant and 10 RIF-susceptible strains from different geographic regions across the world. N=120	USA	PCR-HDF,  Sequencing	RRDR	RHEEt	N.S.	Proportion method	108/120	(1/0)	Double mutation with 526 (His)
+RIF	rpoB	Siddiqi N AAC 2002		CGC/CAC	528	Arg/His	1995-1998	126 clinical isolates that were drug resistant. N=126	India	Sequencing	RRDR	HR, ROS	64-128 ug/ml	Proportion method	94/126	(2/0)	"1) rpoB dual mutation with H526Y; gyrA S95T; rpsL NM;  2) rpoB 1 dual mutation with with S531W; katG and inhA R463L, Inh (C/T)"
+RIF	rpoB	Siddiqi N AAC 2002	O'Sullivan DM JAntiChemo 2005	CGC/CCC	528	Arg/Pro	1995-1998	126 clinical isolates that were drug resistant. N=126	India	Sequencing	RRDR	ROS, RHO, RHS, RH	40-64 ug/ml*	Proportion method	94/126	(4/0)	"1) rpoB dual mutation with N518T; gyrA S95T; rpsL NM; 2) katG or inhA NA; gyrA S95T; 3) katG or inhA R463L; rpsL K121K;  4) katG or inhA R463L; rpoB dual mutation with H526Y"
+RIF	rpoB	Zenteno-Cuevas R MemInstOswaldCruz 2009		CGC/CCT	528	Arg/Pro	2007		Mexico	Sequencing	RRDR	HRSEZ	N.S.	BACTEC 460	15/25	1/0	None
+RIF	rpoB	Wang Q JProtRes 2007		TCG/TAG	538	Leu/STOP	Published 1997		China	Sequencing	Whole gene	R	N.S.	Proportion method, absolute concentration method	112/30	1/0	
+RIF	rpoB	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	Ramaswamy S Musser JM Tubercle lung Dis 1998	TCG/CAG	531	Ser/Gln											
+RIF	rpoB	Donabella V Am J Respir Cell Mol Biol 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	TCG/TTG	531	Ser/Leu	Published 1994		USA	Sequencing	RRDR	R	N.S.		(1/9)	(1/0)	
+RIF	rpoB	Bodmer T JAC 1995		TCG/TGG	531	Ser/Trp	Published 2005	122 clinical isolates from patients from diverse geographical locations (Telenti et al, 1993a). 10 RMP-susceptible and 26 RMP-resistant isolates were examined. N=36	N.S.	PCR-SSCP	RRDR	R	8ug/ml	BACTEC 460	26/36	(1/0)	
+RIF	rpoB	Bodmer T JAC 1995	Ramaswamy S Musser JM Tubercle lung Dis 1998	TCG/TAT	531	Ser/Tyr	Published 2006	122 clinical isolates from patients from diverse geographical locations (Telenti et al, 1993a). 10 RMP-susceptible and 26 RMP-resistant isolates were examined. N=36	N.S.	PCR-SSCP	RRDR	R	>8ug/ml	BACTEC 460	26/36	(1/0)	
+RIF	rpoB	Hillemann D AAC 2005		TCG/TTT	531	Ser/Phe	2001	113 strains (103 MDR and 10 randomly chosen fully susceptible). N=113	Germany	real-time sequencing	RRDR	MDR	N.S.		103/113	(2/0)	katG 315 AGC-ACC/Ser-Thr 
+RIF	rpoB	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	Ramaswamy S Musser JM Tubercle lung Dis 1998	TCG/TGT	531	Ser/Cys											
+RIF	rpoB	Moghazeh SL AAC 1996	Ramaswamy S Musser JM Tubercle lung Dis 1998	CTG/CCG	533	Leu/Pro	1992-1995	RIF-R clinical isolates from strain database. N=24	USA	Sequencing	N.S	R	>32ug/ml	Proportion method	24/24	1/0	None described in the region sequenced.
+RIF	rpoB	Valim A JCM 2000		CTG/CCT	533	Leu/Pro	1996-1998	"100 isolates from different regions of Brazil: 20 samples (19 RIF-resistant; 1 RIF-susceptible) from Sao Paulo. N=100"	Brazil	Sequencing	RRDR	RH, RHS	N.S.	Proportion method	82/100	(2/0)	Same isolate had double mutation: 526 CAC(His)/CTG(Leu)
+RIF	rpoB	Tracevska T JCM 2002 		CCC/TCC	535	Pro/Ser	1999-2000	"70 patients admitted to State Centre for Tuberculosis and Lung Diseases with clinical symptoms of lung or renal TB or TB meningitis. 25-60 yrs old; 2/3 male. 19 drug-susceptible; 34 MDR isolates were analyzed by LiPA. N=70"	Latvia	Line probe assay, Sequencing	RRDR	R, RH	N.S.	Absolute concentration method, BACTEC 	51/70	(4/0)	Double mutation with D516Y
+RIF	rpoB	Prammananan T CMI 2008		CCC/CAC	535	Pro/His	2003-2005		Thailand	Sequencing	Whole gene	MDR	N.S.	Proportion method	154/113	1/0	rpoB 526 CAC/AGC His/Ser
+RIF	rpoB	Wang Q JProtRes 2007		CTG/CCG	538	Leu/Pro	Published 1997		China	Sequencing	Whole gene	R	N.S.	Proportion method, absolute concentration method	112/30	1/0	
+RIF	rpoB	Prammananan T CMI 2008		GAG/GGG	541	Glu/Gly	2003-2005		Thailand	Sequencing	Whole gene	MDR	N.S.	Proportion method	154/113	1/0	rpoB 526 CAC/TAC His/Tyr
+RIF	rpoB	Pozzi G JCM 1999		GAG/GAT	541	Glu/Gly	Published 2002	"MDR isolates from three clinical microbiology laboratories; 37 isolates, proven to be from different patients, analyzed for this study. N=37"	Italy	Sequencing	RRDR	RH, RHS, RHSCip, RHSAmi, RHSZ, RHSZAmi, RHSCZ 	32-128 ug/ml	Proportion method	37/37	(1/0)	Triple mutation with CAC526GAC and TCG553GCG
+RIF	rpoB	Aslan G JpnJInfectDis 2008		CTG/ATG	545	Leu/Met	2003-2006	Isolates from patients in Mersin University hospital in southern Turkey	Turkey	Sequencing	RRDR	R or MDR	N.S.	BACTEC 460	19/41	3/0	rpoB S531A, katG S315T
+RIF	rpoB	Pozzi G JCM 1999		TCG/GCG	553	Ser/Ala	Published 2003	"MDR isolates from three clinical microbiology laboratories; 37 isolates, proven to be from different patients, analyzed for this study. N=37"	Italy	Sequencing	RRDR	RH, RHS, RHSCip, RHSAmi, RHSZ, RHSZAmi, RHSCZ 	32-128 ug/ml	Proportion method	37/37	(1/0)	Triple mutation with CAC526GAC and GAG541GAT
+RIF	rpoB	Ramaswamy SV J Med Micro 2004		ATC/GTC	561	Ile/Val	1996-1998	Subset of 186 strains initially isolated from patients who attended the Jose E. Gonzalez University Hospital TB clinic + 13 pan-susceptible isolates. N=50	Mexico	Sequencing	RRDR	RHSE	N.S.	Proportion method	37/50	(1/0)	"rpoB: Double mutation with 450 TCG/TTG; embB: 306 ATG/ATA"
+RIF	rpoB	Heep M JCM 2001		ATC/ACC	561	Ile/Thr	1997	80 RIF-resistant patients obtained during the year by the German National Reference Center for Mycobacteria + 18 samples (16 DNA samples and 2 culture samples) from previous studies were analyzed. N=98	Germany	Sequencing	RRDR	N.S.	N.S.	Proportion method	111/111	(1/0)	Double mutation with S456L
+RIF	rpoB	Hauck Y JAC 2009		GAA/GGA	562	Glu/Gly	Published 2009	126 RIF resistant isolates were recovered from 142 patients by the reference centre for mycobacteria of the Service de SantŽ des ArmŽes in a total of 18 countries. This mutation confer low level RIF resistance	Various	Sequencing	RRDR	R	<1 ug/ml	MGIT 960	122/122	1/0	rpoB P564L
+RIF	rpoB	Hauck Y JAC 2009		CCT/CTT	564	Pro/Leu	Published 2009	126 RIF resistant isolates were recovered from 142 patients by the reference centre for mycobacteria of the Service de SantŽ des ArmŽes in a total of 18 countries. This mutation confer low level RIF resistance	Various	Sequencing	RRDR	R	<1 ug/ml	MGIT 960	122/122	1/0	rpoB E562G			
+RIF	rpoB	Heep M JCM 2001		CTG/GTG	571	Leu/Val	1997	80 RIF-resistant patients obtained during the year by the German National Reference Center for Mycobacteria + 18 samples (16 DNA samples and 2 culture samples) from previous studies were analyzed. N=98	Germany	Sequencing	RRDR	RHEZ	N.S.	Proportion method	111/111	(2/0)	Double mutation with D441Y			
+RIF	rpoB	Yuen LK JCM 1999	O'Sullivan DM JAntiChemo 2005	ATC/TTC	572	Ile/Phe	1990-1997	"51 clinical isolates collected from different reference laboratories in Australia: 17 RIF sensistive; 33 RIF resistant. N=50"	Vietnam	Sequencing	RRDR	RHE	> 256 ug/ml	Resistance ratio method, BACTEC 460, E-test	33/50	(1/0)	None			
+RIF	rpoB	Chan RCY JAC 2007		TCG/TTG	574	Ser/Leu	1994-2004	250 resistant isolates (resistant to 5 anti-tiuberculosis drugs) - none had apparent clonal features + 50 susceptible controls + 2 reference strains: ATCC 27294 H37Rv and ATCC 25117 H37Rag. N=302 isolates	Hong Kong	PCR-SSCP, Sequencing	RRDR	RHEZ	>64 ug/ml	Absolute concentration method. 	221/250	1	katG 311 Asp/Gly			
+RIF	rpoB	Prammananan T CMI 2008		TCG/GCG	622	Ser/Ala	2003-2005		Thailand	Sequencing	Whole gene	MDR	N.S.	Proportion method	154/113	1/0	rpoB 531 TCG/TTG ser/Leu			
+RIF	rpoB	Heep M JCM 2001		CGC/TGC	633	Arg/Cys	1997	80 RIF-resistant patients obtained during the year by the German National Reference Center for Mycobacteria + 18 samples (16 DNA samples and 2 culture samples) from previous studies were analyzed. N=98	Germany	Sequencing	RRDR	RH	N.S.	Proportion method, BACTEC 460	111/111	(1/0)	Double mutation with S456L			
+RIF	rpoB	Heep M JCM 2001		GAG/GAT	672	Glu/Asp	1997	80 RIF-resistant patients obtained during the year by the German National Reference Center for Mycobacteria + 18 samples (16 DNA samples and 2 culture samples) from previous studies were analyzed. N=98	Germany	Sequencing	RRDR	RH, RHE, RHZ, RHEZ	N.S.	Proportion method, BACTEC 460	111/111	(7/0)	Double mutation with S456W			
+																				
+																				
+																				
+	embB																			
+	Gene	Primary reference	Review reference 1	SNP		Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations			
+RIF	embB	Shi R AAC 2007		TAT/CAT		Tyr/His		74 clinical isolates from Beijing Tuberculosis Resaerch Institute. N=74	China	Sequencing	N.S	RHS	50-250 ug/ml	Proportion method	24/74 but not clear about differences between mutations					
+RIF	embB	Shi R AAC 2007 		TAT/GAT		Tyr/Asp		74 clinical isolates from Beijing Tuberculosis Resaerch Institute. N=74	China	Sequencing	N.S	RH	50-250 ug/ml	Proportion method	24/74 but not clear about differences between mutations					
+																				
+STREPTOMYCIN [SM]																				
+																				
+	gidB																			
+Drug	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	Resistant isolates/Total isolates tested for mutation	Resistant/Sensitive isolates with mutation	Additional mutations			
+SM	gidB	Okamoto S MolMicro 2007	47	T/G	16	Leu/Arg	Before 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	HRSE	20 ug/ml	Absolute concentration method	57/132	1/0	G257C(rpsL)			
+SM	gidB	Okamoto S MolMicro 2007	102	del G	34	Frameshift	Before 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	"R, H; S; E, K, PAS, "	20 ug/ml	Absolute concentration method	57/132	1/0	"A276C (gidB); A908G (rrs) "			
+SM	gidB	Okamoto S MolMicro 2007	115	del C	39	Frameshift	Before 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	R, H, S	20 ug/ml	Absolute concentration method	57/132	1/0	none			
+SM	gidB	Okamoto S MolMicro 2007	118	G/T	40	Glu/STOP	Before 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	H, SM, K, PAS	20 ug/ml	Absolute concentration method	57/132	1/0	A262C(rpsL)			
+SM	gidB	Spies FS AAC 2008		TGG/TGC	45	Trp/Cys	Published 2008	Rio Grande do Sul	Brazil	Sequencing	675bp fragment	H,R,S,E	15,6 ug/ml	Resazurin microtiter assay	47/32	1/0	none			
+SM	gidB	Okamoto S MolMicro 2007	140	G/A	47	Arg/Gln	Before 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	R, H, S, E, PAS	20 ug/ml	Absolute concentration method	57/132	1/0	A908G(rrs)			
+SM	gidB	Okamoto S MolMicro 2007	164	T/G	55	Ile/Ser	Before 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	R, H, S, E, K, PAS	20 ug/ml	Absolute concentration method	57/132	1/0	A276C (gidB), A513C (rrs)			
+SM	gidB	Okamoto S MolMicro 2007	199	G/C	67	Asp/His	After 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	S	8 ug/ml	Absolute concentration method	57/132	1/0	none			
+SM	gidB	Okamoto S MolMicro 2007	208	A/C	70	Ser/Arg	Before 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	R, H, S, E, K, PAS	20 ug/ml	Absolute concentration method	57/132	1/0	"A276C (gidB); A513C (rrs) "			
+SM	gidB	Okamoto S MolMicro 2007	210	C/A	70	Ser/Arg	Before 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	R, H, S, E, PAS	20 ug/ml	Absolute concentration method	57/132	1/0	none			
+SM	gidB	Okamoto S MolMicro 2007	212	G/T	71	Gly/Val	Before 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	R, H, S, E, 	20 ug/ml	Absolute concentration method	57/132	1/0	A276C (gidB)			
+SM	gidB	Okamoto S MolMicro 2007	223	C/G	75	Pro/Ala	Before 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	H, S, E, K	20 ug/ml	Absolute concentration method	57/132	1/0	none			
+SM	gidB	Okamoto S MolMicro 2007	276	A/C	92	Glu/Asp	Before 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	R, H, S, E, PAS	20 ug/ml	Absolute concentration method	57/132	1/0	A128G(rpsL)			
+SM	gidB	Okamoto S MolMicro 2007	307	G/T	103	Glu/STOP		132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	R, H, S, E	N.S	Absolute concentration method	57/132	1/0	A513C (rrs)			
+SM	gidB	Okamoto S MolMicro 2007	351	del G	117	Frameshift	After 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	S	8ug/ml	Absolute concentration method	57/132	2/0				
+SM	gidB	Okamoto S MolMicro 2007	373	C/T	125	Gln/STOP		132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	N.S	N.S	Absolute concentration method	57/132	1/0				
+SM	gidB	Okamoto S MolMicro 2007	380	A/C	127	Gln/Pro		132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	N.S	N.S	Absolute concentration method	57/132	1/0				
+SM	gidB	Okamoto S MolMicro 2007	401	C/A	134	Ala/Glu		132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	N.S	N.S	Absolute concentration method	57/132	1/0				
+SM	gidB	Okamoto S MolMicro 2007	413	C/T	138	Ala/Glu		132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	R, H, S, K, PAS	20 ug/ml	Absolute concentration method	57/132	1/0				
+SM	gidB	Spies FS AAC 2008		TGG/CGG	148	Trp/Arg	Published 2008	Rio Grande do Sul	Brazil	Sequencing	675bp fragment	H,R,S,E	15,6 ug/ml	Resazurin microtiter assay	47/32	1/0	none			
+SM	gidB	Okamoto S MolMicro 2007	548	C/A	183	Ala/Glu		132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	N.S	N.S	Absolute concentration method	57/132	1/0				
+SM	gidB	Okamoto S MolMicro 2007	563	T/G	188	Val/Gly		132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	R, H, S, E, K, PAS	20 ug/ml	Absolute concentration method	57/132	1/0	a276C (gidB), G888A (rrs)			
+SM	gidB	Okamoto S MolMicro 2007	599	C/A	200	Ala/Glu		132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	N.S	N.S	Absolute concentration method	57/132	1/0				
+																				
+	rpsL																			
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations			
+SM	rpsL	Sreevatsan S AAC 1996	23	CGC/CAC	9	Arg/His														
+SM	rpsL	Brzostek A IntJ TubLungDis 2004	119	ACC/ATC	40	Thr/Ile	2000	88 patients with positive cultures from Poland's 2000 national survey	Poland	Sequencing	region of rpsL	S	N.S	Proportion method, BACTEC 460	4/88	4/0				
+SM	rpsL	Brzostek A IntJ TubLungDis 2004	122	ACT/AGT	41	Thr/Ser	2000	88 patients with positive cultures from Poland's 2000 national survey	Poland	Sequencing	region of rpsL	S	N.S	Proportion method, BACTEC 460	1/88	1/0	Thr41Ser is one of 18 silent mutations and 6 a.a. sub: Lys51Asn, Val52Gly, Gly84Val, Arg86Trp, Val87Leu			
+SM	rpsL	Nair J Mol Micro 1993	128	AAG/AGG	43	Lys/Arg	1950		USA	Sequencing	Whole gene	S, H, E	N.S	N.S	8/8	1/0				
+SM	rpsL	Finken M Mol Micro 1993	128	AAG/ACG	43	Lys/Thr	1993	m. luteus, m.tb		Sequencing	Whole gene	MDR	N.S	Proportion method, BACTEC 460	38/73	5/0	not specified			
+SM	rpsL	Brzostek A IntJ TubLungDis 2004	153	AAG/AAC	51	Lys/Asn	2000	88 patients with positive cultures from Poland's 2000 national survey	Poland	Sequencing	region of rpsL	S	N.S	Proportion method, BACTEC 460	1/88	1/0	Thr51Ser is one of 18 silent mutations and 6 a.a. sub: Lys41Asn, Val52Gly, Gly84Val, Arg86Trp, Val87Leu			
+SM	rpsL	Brzostek A IntJ TubLungDis 2004	155	GTT/GGT	52	Val/Gly	2000	88 patients with positive cultures from Poland's 2000 national survey	Poland	Sequencing	region of rpsL	S	N.S	Proportion method, BACTEC 460	1/88	1/0	Thr52Ser is one of 18 silent mutations and 6 a.a. sub: Lys51Asn, Val41Gly, Gly84Val, Arg86Trp, Val87Leu			
+SM	rpsL	Brzostek A IntJ TubLungDis 2004	251	GGC/GTC	84	Gly/Val	2000	88 patients with positive cultures from Poland's 2000 national survey	Poland	Sequencing	region of rpsL	S	N.S	Proportion method, BACTEC 460	1/88	1/0	Thr84Ser is one of 18 silent mutations and 6 a.a. sub: Lys51Asn, Val52Gly, Gly41Val, Arg86Trp, Val87Leu			
+SM	rpsL	Brzostek A IntJ TubLungDis 2004	256	CGG/TGG	86	Arg/Trp	2000	88 patients with positive cultures from Poland's 2000 national survey	Poland	Sequencing	region of rpsL	S	N.S	Proportion method, BACTEC 460	1/88	1/0	Thr86Ser is one of 18 silent mutations and 6 a.a. sub: Lys51Asn, Val52Gly, Gly84Val, Arg41Trp, Val87Leu			
+SM	rpsL	Okamoto S MolMicro 2007	257	CGG/CCG	86	Arg/Pro	Before 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing		RHSE	20 ug/ml	Absolute concentration method	57/132	1/0	T47G (gidB)			
+SM	rpsL	Brzostek A IntJ TubLungDis 2004	259	GTG/TTG	87	Val/Leu	2000	88 patients with positive cultures from Poland's 2000 national survey	Poland	Sequencing	region of rpsL	S	N.S	Proportion method, BACTEC 460	1/88	1/0	Thr87Ser is one of 18 silent mutations and 6 a.a. sub: Lys51Asn, Val52Gly, Gly84Val, Arg86Trp, Val41Leu			
+SM	rpsL	Sreevatsan S AAC 1996	262	AAG/CAG	88	Lys/Gln	1995	139 strains of mtb	Vietnam	Sequencing	Whole gene	S	>200ug/ml	Proportion method, BACTEC 460	78/139	1/0	GTG/ATG, Val/Met			
+SM	rpsL	Finken M Mol Micro 1993	263	AAG/AGG	88	Lys/Arg 	1993	m. luteus, m.tb		Sequencing	Whole gene	S	N.S	Proportion method	38/73	2/0	n/a			
+SM	rpsL	Katsukawa C J Appl Micro 1997	263	AAG/ATG	88	Lys/Met														
+SM	rpsL	Katsukawa C J Appl Micro 1998	263	AAG/ACG	88	Lys/Thr														
+SM	rpsL	Sreevatsan S AAC 1996	277	GTG/ATG	93	Val/Met														
+																				
+	rrs																			
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations			
+SM	rrs	Ramaswamy SV J Med Micro 2004	189	G/A	189		1996-1998	patients from Jose E. Gonzalez Univ. Hosp	Mexico	Sequencing	Whole rrs	RHS	N.S	Proportion method	39838	1/0	"15 ups; C/T (inhA)"			
+SM	rrs	Ramaswamy SV J Med Micro 2004	426	G/T	426		1996-1998	patients from Jose E. Gonzalez Univ. Hosp	Mexico	Sequencing	Whole rrs	RHS	N.S	Proportion method	39838	1/0	"315, AGC/ACC, Ser/Thr (katG); 450, TCG/TTG, Ser/Leu (rpoB)"			
+SM	rrs	Spies FS AAC 2008	426	G/C	426		Published 2008	Rio Grande do Sul	Brazil	Sequencing	530 loop, 912 region	RHSE	>31,5ug/ml	Resazurin microtiter assay	47/32	1/0	"gidB: CCT/CGT; L16R"			
+SM	rrs	Brzostek A IntJ TubLungDis 2004	461	C/T	461		2000	88 patients with positive cultures from Poland's 2000 national survey	Poland	Sequencing	530 loop, 912 region	S	N.S	Proportion method	4/88	4/0	none			
+SM	rrs	Meier A AAC 1994	491	C/T	491					Sequencing	Whole rrs	HS	N.S	Proportion method	3/38	1/0				
+SM	rrs	Meier A AAC 1994	512	C/T	512					Sequencing	"505 bp gene fragment; complete S12 gene"	RHS	N.S	Proportion method	3/38	1/0				
+SM	rrs	Honore N AAC 1995	512	ins C	512							N.S	N.S							
+SM	rrs	Dobner P MolCellProbes  1997	513	A/C	513		1996	Germans, Eastern European immigrants in Germany, Sierra Leone	Germany, Sierra Leone	Sequencing	530 loop, 912 region	S	N.S		1/50	1/0	AAG/AGG, 43 Lys/Arg (rpsL)			
+SM	rrs	Katsukawa C J Appl Micro 1997	513	A/T	513		1992-1994	172 clinical isolates from Japanese institutions	Japan	Sequencing	450-944	S	20-200ug/ml	Absolute concentration method	95/172	9/0				
+SM	rrs	Dobner P MolCellProbes  1997	516	C/T	516		1996	Germans, Eastern European immigrants in Germany, Sierra Leone	Germany, Sierra Leone	Sequencing	530 loop, 912 region	S	N.S		1/50	1/0	none			
+SM	rrs	Brzostek A IntJ TubLungDis 2004	627	G/C	627		2000	88 patients with positive cultures from Poland's 2000 national survey	Poland	Sequencing	530 loop, 912 region	S	N.S	Proportion method, BACTEC 460	1/88	1/0	none			
+SM	rrs	Sreevatsan S AAC 1996	798	C/T	798		1995	139 strains of mtb from various geographical localities	USA	Sequencing	530 loop, 912 region	S	N.S	Proportion method, BACTEC 460	39814	1/0	"only NY isolate with both rrs and rpsL (AAG/AGG; K43-->R) mutations "			
+SM	rrs	Cooksey RC, AAC 1996	865	C/G	865		1994	New Yorkers	USA	Sequencing	306 bp	RHS	10	Agar dilution method	45/367	1/0	none			
+SM	rrs	Okamoto S MolMicro 2007 	887	G/A	887		Before 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing		R, H, S, E, K, PAS	20 ug/ml	Absolute concentration method	57/132	1/0 	A276C, T563G (gidB)			
+SM	rrs	Honore N AAC 1994	904	C/A	904		1994	mtb strains from various sources	N.S.	PCR-SSCP	530 loop, 912 region	SH	>1280	Agar dilution method	39974	1/0	none			
+SM	rrs	Honore N AAC 1994	904	C/G	904					PCR-SSCP	530 loop, 912 region	SHR	160	Agar dilution method	39974	1/0	none			
+SM	rrs	Dobner P MolCellProbes  1997	905	A/G	905		1996	Germans, Eastern European immigrants in Germany, Sierra Leone	Germany, Sierra Leone	Sequencing	530 loop, 912 region	S	N.S		1/50	1/0	AAG/CAG, 88 Lys/Thr (rpsL)			
+SM	rrs	Dobner P MolCellProbes  1997	906	A/T	906		1996	Germans, Eastern European immigrants in Germany, Sierra Leone	Germany, Sierra Leone	Sequencing	530 loop, 912 region	S	N.S		1/50	1/0	none			
+SM	rrs	Katsukawa C J Appl Micro 1997	906	A/C	906		1992-1994	172 clinical isolates from Japanese institutions	Japan	Sequencing	450-944	S	20-200ug/ml	Absolute concentration method	95/172	1/0				
+SM	rrs	Katsukawa C J Appl Micro 1997	907	A/G	907		1992-1994	172 clinical isolates from Japanese institutions	Japan	Sequencing	450-944	S	20-200ug/ml	Absolute concentration method	95/172	1/0				
+SM	rrs	Katsukawa C J Appl Micro 1997	907-908	ins T	907		1992-1994	172 clinical isolates from Japanese institutions	Japan	Sequencing	450-944	S	20-200ug/ml	Absolute concentration method	95/172	1/0				
+SM	rrs	Sekigushi J JCM 2007	1061	ins C	1061		2006	TB patients in Japan and Poland	Japan	Multiplex PCR	530 loop, 912 region	N.S	N.S	Proportion method, Rapid broth method	55/138	1/0	Lys121Lys (rpsL), silent mutation, not assoc w/ STR-res.			
+SM	rrs	Ramaswamy SV J Med Micro 2004	1238	T/C	1238		1996-1998	patients from Jose E. Gonzalez Univ. Hosp	Mexico	Sequencing	Whole rrs	RHSE	N.S	Proportion method	39897	3/0	"315, AGC/ACC, Ser/Thr (katG); 435, GAC/GTC, Asp/Val (rpoB); 43, AAG/AGG, Lys/Arg (rpsL); 306, ATG/CTG, Met/Leu (embB)"			
+SM	rrs	Sekigushi J JCM 2007	1400	A/G	1400		2006	TB patients in Japan and Poland	Japan	Multiplex PCR	428-1737	N.S	N.S	Proportion method, Rapid broth method	55/138	1/0	Lys121Lys (rpsL), silent mutation, not assoc w/ STR-res.			
+SM	rrs	Sekigushi J JCM 2007	1539	A/G	1539		2006	TB patients in Japan and Poland	Japan	Multiplex PCR	428-1737	N.S	N.S	Proportion method, Rapid broth method	55/138	1/0	"A1400G (rrs); Lys121Lys (rpsL), silent mutation, not assoc w/ STR-res."			
+																				
+																				
+																				
+																				
+																				
\ No newline at end of file
diff --git a/other/tbdr/tbdr_genes_all.txt b/other/tbdr/tbdr_genes_all.txt
new file mode 100644
index 0000000..2453e37
--- /dev/null
+++ b/other/tbdr/tbdr_genes_all.txt
@@ -0,0 +1,9 @@
+Rifampicin	Rv0667
+Isoniazid	Rv2846c;Rv0340;Rv2428;Rv0342;Rv3566c;Rv1772;Rv3795;Rv0343;Rv1908c;Rv1592c;Rv1483;Rv1484;Rv2247;Rv2243;Rv0129c;Rv2245;Rv1854c;Rv1909c
+Para-Aminosalisylic	Rv2764c
+Pyrazinamide	Rv2043c
+Fluoroquinolones	Rv0006;Rv0005
+Aminoglycosides	Rv1694;Rvnr01
+Ethambutol	Rv0341;Rv0340;Rv0343;Rv0342;Rv3124;Rv3795;Rv3794;Rv3793;Rv3125;Rv3126;Rv3264c;Rv1267c;Rv3266c
+Ethionamide	Rv1483;Rv1484;Rv3854c
+Streptomycin	Rv3919c;Rv0682;Rvnr01
diff --git a/other/tbdr/tbdr_genes_high.txt b/other/tbdr/tbdr_genes_high.txt
new file mode 100644
index 0000000..895f60b
--- /dev/null
+++ b/other/tbdr/tbdr_genes_high.txt
@@ -0,0 +1,6 @@
+Rifampicin	Rv0667
+Isoniazid	Rv1908c;Rv2245;Rv2428;Rv1483
+Pyrazinamide	Rv2043c
+Fluoroquinolones	Rv0006;Rv0005
+Ethambutol	Rv3795
+Streptomycin	Rv0682;Rvnr01
diff --git a/other/tbdr/tbdr_high.txt b/other/tbdr/tbdr_high.txt
new file mode 100644
index 0000000..1aff33e
--- /dev/null
+++ b/other/tbdr/tbdr_high.txt
@@ -0,0 +1,2266 @@
+Isoniazid			No. of isolates tested				No. of isolates with mutation 			Proportion of tested with mutation					
+Reference/ Country/ Time period	Gene	Mutation	Total	R	S		R	S		R	S	Molecular detection method/ Gene coverage	DST method/ Resistance pattern among R isolates	Comments	
+Hazbón et al, 2006	katG	S315T (AGC/ACC)	1011	403	608		184	0		45,7%	0,0%	"Molecular beacon assay and sequencing.
+240 alleles in katG, OxyR-ahpC, inhA, kasA, ndh"	"Proportion method , BACTEC 460 and MGIT 960.
+102 H, 272 MDR"		
+Multiple countries	katG	S315N (AGC/AAC)	1011	403	608		9	0		2,2%	0,0%				
+1989-2002	katG	S315T (AGC/ACA)	1011	403	608		21	0		5,2%	0,0%				
+	katG	S315I (AGC/ATC)	1011	403	608		6	0		1,5%	0,0%				
+	katG	S315R (AGC/AGA)	1011	403	608		0	0		0,0%	0,0%				
+	katG	katG deletion	1011	403	608		5	0		1,2%	0,0%				
+	katG	G279D (GGC/GAC)	1011	403	608		0	0		0,0%	0,0%				
+	kasA	G269S (GGT/AGT)	1011	403	608		36	87		8,9%	14,3%				
+	mabA, fabG1	-15 (C/T)	1011	403	608		31	0		7,7%	0,0%				
+	mabA, fabG1	-8 (T/A)	1011	403	608		3	0		0,7%	0,0%				
+	mabA, fabG1	-8 (T/C)	1011	403	608		1	0		0,2%	0,0%				
+	ahpC	-46 (G/A)	1011	403	608		14	11		3,5%	1,8%				
+	ahpC	-39 (C/T)	1011	403	608		4	11		1,0%	1,8%				
+	ahpC	I21T (ATC/ACC)	1011	403	608		2	0		0,5%	0,0%				
+	N/A	Other c	1011	403	608		84	43		20,8%	7,1%			c 15 isolates had 12 different other mutations in katG, 8 isolates had 2 different mutations in kasA, 14 isolates had 2 different mutations in ndh, 36 isolates had 14 different mutations in OxyR-ahpC, 11 isolates had 4 different mutations in mabA/fabG1.	
+	N/A	None detected d	1011	403	608		88	467		21,8%	76,8%			d 80/403 INH Res isolates contained more than one mutation	
+															
+Afanasev et al, 2007	katG	S315T (AGC/ACC)	412	317	95		287	0		90,5%	0,0%	"Primer extension minisequencing and sequencing.
+katG 315, inhA promoter"	"Absolute concentration method.
+57 H, 260 MDR "		
+Russia	katG	S315N (AGC/AAC)	412	317	95		0	0		0,0%	0,0%				
+1997-2005	katG	S315T (AGC/ACA)	412	317	95		1	0		0,3%	0,0%				
+	katG	S315I (AGC/ATC)	412	317	95		0	0		0,0%	0,0%				
+	katG	S315R (AGC/AGA)	412	317	95		0	0		0,0%	0,0%				
+	katG	katG deletion	412	317	95		0	0		0,0%	0,0%				
+	katG	G279D (GGC/GAC)	412	317	95		0	0		0,0%	0,0%				
+	kasA	G269S (GGT/AGT)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	mabA, fabG1	-15 (C/T)	412	317	95		44	0		13,9%	0,0%				
+	mabA, fabG1	-8 (T/A)	412	317	95		1	0		0,3%	0,0%				
+	mabA, fabG1	-8 (T/C)	412	317	95		2	0		0,6%	0,0%				
+	ahpC	-46 (G/A)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	ahpC	-39 (C/T)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	ahpC	I21T (ATC/ACC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	N/A	Other	412	317	95		0	0		0,0%	0,0%				
+	N/A	None detected	412	317	95		26	95		8,2%	100,0%				
+															
+Huang et al, 2009	katG	S315T (AGC/ACC)	272	242	30		122	0		50,4%	0,0%	"Sequencing and MTBDRplus.
+katG, oxyR-ahpC, inhA promoter, inhA"	Proportion method and MGIT 960. All MDR		
+Taiwan	katG	S315N (AGC/AAC)	272	242	30		0	0		0,0%	0,0%				
+2007-2008	katG	S315T (AGC/ACA)	272	242	30		1	0		0,4%	0,0%				
+	katG	S315I (AGC/ATC)	272	242	30		0	0		0,0%	0,0%				
+	katG	S315R (AGC/AGA)	272	242	30		0	0		0,0%	0,0%				
+	katG	katG deletion	272	242	30		0	0		0,0%	0,0%				
+	katG	G279D (GGC/GAC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	kasA	G269S (GGT/AGT)	N/A	N/A	N/A	N/A	N/A	N/A		N/A	N/A				
+	mabA, fabG1	-15 (C/T)	272	242	30		81	0		1,2%	0,0%				
+	mabA, fabG1	-8 (T/A)	272	242	30		3	0		2,9%	0,0%				
+	mabA, fabG1	-8 (T/C)	272	242	30		7	0		0,0%	0,0%				
+	ahpC	-46 (G/A)	272	242	30		0	0		0,4%	0,0%				
+	ahpC	-39 (C/T)	272	242	30		1	0		0,0%	0,0%				
+	ahpC	I21T (ATC/ACC)	272	242	30		0	0		0,0%	0,0%				
+	N/A	Other 	272	242	30		0	0		0,0%	0,0%				
+	N/A	None detected	272	242	30		16	30		6,6%	100,0%				
+															
+Chan et al, 2007	katG	S315T (AGC/ACC)	300	241	59		109	0		45,2%	0,0%	"PCR-SSCP and sequencing.
+Whole gene katG, ahpC, inhA"	"Absolute concentration method.
+26 H,  213 MDR, 2 PDR"		
+Hong Kong	katG	S315N (AGC/AAC)	300	241	59		5	0		2,1%	0,0%				
+1994-2004	katG	S315T (AGC/ACA)	300	241	59		1	0		0,4%	0,0%				
+	katG	S315I (AGC/ATC)	300	241	59		0	0		0,0%	0,0%				
+	katG	S315R (AGC/AGA)	300	241	59		0	0		0,0%	0,0%				
+	katG	katG deletion	300	241	59		0	0		0,0%	0,0%				
+	katG	G279D (GGC/GAC)	300	241	59		0	0		0,0%	0,0%				
+	kasA	G269S (GGT/AGT)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	mabA, fabG1	-15 (C/T)	300	241	59		0	0		0,0%	0,0%				
+	mabA, fabG1	-8 (T/A)	300	241	59		0	0		0,0%	0,0%				
+	mabA, fabG1	-8 (T/C)	300	241	59		0	0		0,0%	0,0%				
+	ahpC	-46 (G/A)	300	241	59		0	0		0,0%	0,0%				
+	ahpC	-39 (C/T)	300	241	59		0	0		0,0%	0,0%				
+	ahpC	I21T (ATC/ACC)	300	241	59		2	0		0,8%	0,0%				
+	N/A	Other b	300	241	59		48	1		19,9%	1,7%			b 47 resistant isolates had 27 different other mutations in katG, 1 isolate had 1 other mutation in ahpC. 7 isolates had both katG S315T (AGC/ACC) mutations and other mutations. 2+1 isolates had 2+2 other mutations.	
+	N/A	None detected	300	241	59		75	59		31,1%	100,0%				
+															
+Dalla Costa et al, 2009	katG	S315T (AGC/ACC)	225	224	1		166	0		74,1%	0,0%	"Sequencing. 
+katG , oxyR-ahpC, inhA promoter, inhA
+"	"Proportion method
+N.S."		
+Brazil, Peru, Argentina	katG	S315N (AGC/AAC)	225	224	1		9	0		4,0%	0,0%				
+2003-2004	katG	S315T (AGC/ACA)	225	224	1		0	0		0,0%	0,0%				
+"NOTE! Only one susceptible
+isolate included in the study.
+Study included since it 
+is currently the only report
+from South America."	katG	S315I (AGC/ATC) 	225	224	1		3	0		1,3%	0,0%				
+	katG	S315R (AGC/AGA) 	225	224	1		0	0		0,0%	0,0%				
+	katG	katG deletion	225	224	1		0	0		0,0%	0,0%				
+	katG	G279D (GGC/GAC)	225	224	1		0	0		0,0%	0,0%				
+	kasA	G269S (GGT/AGT)	N/A	N/A	N/A	N/A	N/A	N/A		N/A	N/A				
+	mabA, fabG1	-15 (C/T) K	225	224	1		21	0		9,4%	0,0%			K  3 isolates hade both mabA/fabG1 -15 C/T and katG S315T, 1 isolate both mabA/fabG1 -15 C/T and ahpC -6 G/A, 7 isolates both mabA/fabG1 -15 C/T and ahpC -46 G/A mutations	
+	mabA, fabG1	-8 (T/A)	225	224	1		0	0		0,0%	0,0%				
+	mabA, fabG1	-8 (T/C)	225	224	1		0	0		0,0%	0,0%				
+	ahpC	-46 (G/A) L	225	224	1		0	0		0,0%	0,0%			L 1 isolate had both katG deletion and ahpC -46 G/A mutation	
+	ahpC	-39 (C/T)	225	224	1		3	0		1,3%	0,0%				
+	ahpC	I21T (ATC/ACC)	225	224	1		0	0		0,0%	0,0%				
+	N/A	Other M	225	224	1		22	0		9,8%	0,0%			M 6 isolates had 4 different other mutations (mabA/fabG1 -24C/T and ahpC -6 G/A , -30 C/T and -34 T/A) 1 isolate hade both -46G/A and -34 T/A mutations, 1 isolate had both katG S315T, inh -24 C/T and ahpC -46 G/A mutations.	
+	N/A	None detected	225	224	1		20	1		8,9%	100,0%				
+															
+Baker et al, 2005	katG	S315T (AGC/ACC)	378	202	176		118	0		58,4%	0,0%	"Oligobased hybridization assay  and Sequencing.
+katG  315, oxyR-ahpC, inhA promoter"	"Resistance ratio method.
+107 H, 47 MDR, 48 PDR"		
+UK	katG	S315N (AGC/AAC)	378	202	176		0	0		0,0%	0,0%				
+1998	katG	S315T (AGC/ACA)	378	202	176		1	0		0,5%	0,0%				
+	katG	S315I (AGC/ATC) 	378	202	176		1	0		0,5%	0,0%				
+	katG	S315R (AGC/AGA) 	378	202	176		0	0		0,0%	0,0%				
+	katG	katG deletion	378	202	176		2	0		1,0%	0,0%				
+	katG	G279D (GGC/GAC)	378	202	176		0	0		0,0%	0,0%				
+	kasA	G269S (GGT/AGT)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	mabA, fabG1	-15 (C/T) K	378	202	176		53	1		26,2%	0,6%			K  3 isolates hade both mabA/fabG1 -15 C/T and katG S315T, 1 isolate both mabA/fabG1 -15 C/T and ahpC -6 G/A, 7 isolates both mabA/fabG1 -15 C/T and ahpC -46 G/A mutations	
+	mabA, fabG1	-8 (T/A)	378	202	176		0	1		0,0%	0,6%				
+	mabA, fabG1	-8 (T/C)	378	202	176		1	0		0,5%	0,0%				
+	ahpC	-46 (G/A) L	378	202	176		48	13		23,8%	7,4%			L 1 isolate had both katG deletion and ahpC -46 G/A mutation	
+	ahpC	-39 (C/T)	378	202	176		0	0		0,0%	0,0%				
+	ahpC	I21T (ATC/ACC)	378	202	176		0	0		0,0%	0,0%				
+	N/A	Other M	378	202	176		6	1		3,0%	0,6%			M 6 isolates had 4 different other mutations (mabA/fabG1 -24C/T and ahpC -6 G/A , -30 C/T and -34 T/A) 1 isolate hade both -46G/A and -34 T/A mutations, 1 isolate had both katG S315T, inh -24 C/T and ahpC -46 G/A mutations.	
+	N/A	None detected	378	202	176		21	160		10,4%	90,9%				
+															
+Miotto et al, 2006	katG	S315T (AGC/ACC)	209	176	33		114	0		64,8%	0,0%	"Sequencing and Oligobased hybridization assay.
+katG315 region and  inhA promoter region around-15"	"Proportion method , BACTEC 460 and MGIT 960.
+16 H, 139 MDR, 18 PDR"		
+Italy	katG	S315N (AGC/AAC)	209	176	33		1	0		0,6%	0,0%				
+2002-2005	katG	S315T (AGC/ACA)	209	176	33		1	0		0,6%	0,0%				
+	katG	S315I (AGC/ATC)	209	176	33		0	0		0,0%	0,0%				
+	katG	S315R (AGC/AGA)	209	176	33		0	0		0,0%	0,0%				
+	katG	katG deletion	209	176	33		0	0		0,0%	0,0%				
+	katG	G279D (GGC/GAC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	kasA	G269S (GGT/AGT)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	mabA, fabG1	-15 (C/T)	209	176	33		20	0		11,4%	0,0%				
+	mabA, fabG1	-8 (T/A)	209	176	33		0	0		0,0%	0,0%				
+	mabA, fabG1	-8 (T/C)	209	176	33		0	0		0,0%	0,0%				
+	ahpC	-46 (G/A)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	ahpC	-39 (C/T)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	ahpC	I21T (ATC/ACC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	N/A	Other e	209	176	33		1	0		0,6%	0,0%			e 1 isolate had 5 different other mutations	
+	N/A	None detected	209	176	33		36	33		20,5%	100,0%				
+															
+"Isoniazid
+Cont."			No. of isolates tested				No. of isolates with mutation 			Proportion of tested with mutation					
+Reference/ Country/ Time period	Gene	Mutation	Total	R	S		R	S		R	S	Molecular detection method/ Gene coverage	DST method/ Resistance pattern among R isolates	Comments	
+Parsons et al, 2005	katG	S315T (AGC/ACC)	157	147	10		62	0		42,2%	0,0%	"Sequencing.
+Around katG 315"	"Proportion method, BACTEC 460.
+99 MDR, different patterns of H, E, R, S and Z resistance"		
+USA	katG	S315N (AGC/AAC)	157	147	10		5	0		3,4%	0,0%				
+1999-2004	katG	S315T (AGC/ACA)	157	147	10		30	0		20,4%	0,0%				
+	katG	S315I (AGC/ATC) J	157	147	10		2	0		1,4%	0,0%			J 1 isolate contained a mixed population with S315R/L/I mutations	
+	katG	S315R (AGC/AGA) J	157	147	10		1	0		0,7%	0,0%				
+	katG	katG deletion	157	147	10		1	0		0,7%	0,0%				
+	katG	G279D (GGC/GAC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	kasA	G269S (GGT/AGT)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	mabA, fabG1	-15 (C/T)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	mabA, fabG1	-8 (T/A)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	mabA, fabG1	-8 (T/C)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	ahpC	-46 (G/A)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	ahpC	-39 (C/T)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	ahpC	I21T (ATC/ACC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	N/A	Other	157	147	10		1	0		0,7%	0,0%				
+	N/A	None detected	157	147	10		46	10		31,3%	100,0%				
+															
+Bolotin et al, 2009	katG	S315T (AGC/ACC)	504	154	350		66	0		42,9%	0,0%	"Sequencing.
+katG,  inhA promoter"	"Bactec 460, MGIT 960.
+N.S."		
+Canada	katG	S315N (AGC/AAC)	504	154	350		2	0		1,3%	0,0%				
+1999-2001	katG	S315T (AGC/ACA)	504	154	350		0	0		0,0%	0,0%				
+	katG	S315I (AGC/ATC)	504	154	350		1	0		0,6%	0,0%				
+	katG	S315R (AGC/AGA)	504	154	350		0	0		0,0%	0,0%				
+	katG	katG deletion	504	154	350		2	0		1,3%	0,0%				
+	katG	G279D (GGC/GAC)	504	154	350		0	0		0,0%	0,0%				
+	kasA	G269S (GGT/AGT)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	mabA, fabG1	-15 (C/T) g	504	154	350		39	0		25,3%	0,0%			g mutations in mabA/fabG1 promoter region and ahpC was only tested for when no katG 315 mutation was found	
+	mabA, fabG1	-8 (T/A) g	504	154	350		1	0		0,6%	0,0%				
+	mabA, fabG1	-8 (T/C) g	504	154	350		2	0		1,3%	0,0%				
+	ahpC	-46 (G/A) g	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	ahpC	-39 (C/T) g	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	ahpC	I21T (ATC/ACC) g	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	N/A	Other	504	154	350		6	0		3,9%	0,0%				
+	N/A	None detected	504	154	350		39	350		25,3%	100,0%				
+															
+Hillemann et al, 2005	katG	S315T (AGC/ACC)	152	142	10		137	0		96,5%	0,0%	"PCR FRET assay and Sequencing.
+katG, OxyR-ahpC, and inhA promoter "	"N.S.
+50 H, 92 MDR"		
+Kazaksthan	katG	S315N (AGC/AAC)	152	142	10		0	0		0,0%	0,0%				
+2004	katG	S315T (AGC/ACA)	152	142	10		0	0		0,0%	0,0%				
+	katG	S315I (AGC/ATC)	152	142	10		1	0		0,7%	0,0%				
+	katG	S315R (AGC/AGA)	152	142	10		0	0		0,0%	0,0%				
+	katG	katG deletion	152	142	10		0	0		0,0%	0,0%				
+	katG	G279D (GGC/GAC)	152	142	10		0	0		0,0%	0,0%				
+	kasA	G269S (GGT/AGT)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	mabA, fabG1	-15 (C/T) g	152	142	10		3	0		2,1%	0,0%			g mutations in mabA/fabG1 promoter region and ahpC was only tested for when no katG 315 mutation was found	
+	mabA, fabG1	-8 (T/A) g	152	142	10		0	0		0,0%	0,0%				
+	mabA, fabG1	-8 (T/C) g	152	142	10		0	0		0,0%	0,0%				
+	ahpC	-46 (G/A) g	152	142	10		0	0		0,0%	0,0%				
+	ahpC	-39 (C/T) g	152	142	10		1	0		0,7%	0,0%				
+	ahpC	I21T (ATC/ACC) g	152	142	10		0	0		0,0%	0,0%				
+	N/A	Other	152	142	10		0	0		0,0%	0,0%				
+	N/A	None detected	152	142	10		0	10		0,0%	100,0%				
+															
+Park et al, 2006	katG	S315T (AGC/ACC)	243	119	124		37	0		31,1%	0,0%	"Oligobased hybridization assay and Sequencing.
+katG and inhA "	"Proportion method.
+7 H, 112 MDR"		
+South Korea	katG	S315N (AGC/AAC)	243	119	124		5	0		4,2%	0,0%				
+N.S.	katG	S315T (AGC/ACA)	243	119	124		0	0		0,0%	0,0%				
+	katG	S315I (AGC/ATC)	243	119	124		0	0		0,0%	0,0%				
+	katG	S315R (AGC/AGA)	243	119	124		0	0		0,0%	0,0%				
+	katG	katG deletion	243	119	124		0	0		0,0%	0,0%				
+	katG	G279D (GGC/GAC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	kasA	G269S (GGT/AGT)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	mabA, fabG1	-15 (C/T) f	243	119	124		56	3		47,1%	2,4%			f mabA/fabG1 -15 (C/T) was found in 56 INH Res of which 13 had the  katG S315T (AGC/ACC) mutation 	
+	mabA, fabG1	-8 (T/A)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	mabA, fabG1	-8 (T/C)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	ahpC	-46 (G/A)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	ahpC	-39 (C/T)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	ahpC	I21T (ATC/ACC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	N/A	Other	243	119	124		0	0		0,0%	0,0%				
+	N/A	None detected	243	119	124		34	121		28,6%	97,6%				
+															
+Wu et al, 2006	katG	S315T (AGC/ACC)	204	106	98		60	26		56,6%	26,5%	"Reverse Dot Blot Hybridization (RDBH) and sequencing.
+katG:273bp fragment, inhA:255bp fragment"	"Absolute concentration method.
+1 H, 86 MDR, 19 PDR"		
+China	katG	S315N (AGC/AAC)	204	106	98		2	2		1,9%	2,0%				
+1999-2004	katG	S315T (AGC/ACA)	204	106	98		0	0		0,0%	0,0%				
+	katG	S315I (AGC/ATC)	204	106	98		0	0		0,0%	0,0%				
+	katG	S315R (AGC/AGA)	204	106	98		1	0		0,9%	0,0%				
+	katG	katG deletion	204	106	98		10	0		9,4%	0,0%				
+	katG	G279D (GGC/GAC)	204	106	98		14	0		13,2%	0,0%				
+	kasA	G269S (GGT/AGT)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	mabA, fabG1	-15(C/T)a	204	106	98		22	3		20,8%	3,1%			a 4 isolates had both katG S315T (AGC/ACC) and mabA/fabG1 -15 (C/T) mutations	
+	mabA, fabG1	-8 (T/A)	204	106	98		0	0		0,0%	0,0%				
+	mabA, fabG1	-8 (T/C)	204	106	98		0	0		0,0%	0,0%				
+	ahpC	-46 (G/A)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	ahpC	-39 (C/T)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	ahpC	I21T (ATC/ACC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	N/A	Other	204	106	98		0	0		0,0%	0,0%				
+	N/A	None detected	204	106	98		14	67		13,2%	68,4%				
+															
+Boonaiam et al, 2006	katG	S315T (AGC/ACC)	170	160	10		92	0		57,5%	0,0%	"Sequencing. 
+katG , oxyR-ahpC, ndh, inhA promoter, inhA
+"	"Proportion method.
+26 H, 110 MDR, 24 PDR"		
+Thailand	katG	S315N (AGC/AAC)	170	160	10		1	0		0,6%	0,0%				
+2005-2006	katG	S315T (AGC/ACA)	170	160	10		0	0		0,0%	0,0%				
+	katG	S315I (AGC/ATC)	170	160	10		0	0		0,0%	0,0%				
+	katG	S315R (AGC/AGA)	170	160	10		0	0		0,0%	0,0%				
+	katG	katG deletion	170	160	10		1	0		0,6%	0,0%				
+	katG	G279D (GGC/GAC)	170	160	10		0	0		0,0%	0,0%				
+	kasA	G269S (GGT/AGT)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	mabA, fabG1	-15(C/T)	170	160	10		17	0		10,6%	0,0%				
+	mabA, fabG1	-8 (T/A)	170	160	10		0	0		0,0%	0,0%				
+	mabA, fabG1	-8 (T/C)	170	160	10		1	0		0,6%	0,0%				
+	ahpC	-46 (G/A)	170	160	10		0	0		0,0%	0,0%				
+	ahpC	-39 (C/T)	170	160	10		0	0		0,0%	0,0%				
+	ahpC	I21T (ATC/ACC)	170	160	10		0	0		0,0%	0,0%				
+	N/A	Other	170	160	10		29	0		18,1%	0,0%				
+	N/A	None detected	170	160	10		4	10		2,5%	100,0%				
+															
+Hillemann et al, 2005	katG	S315T (AGC/ACC)	143	103	40		87	0		84,5%	0,0%	"Oligobased hybridization assay and sequencing.
+katG 315, ahpC, inhA"	"BACTEC 460.
+All MDR"		
+Germany	katG	S315N (AGC/AAC)	143	103	40		2	0		1,9%	0,0%				
+2001	katG	S315T (AGC/ACA)	143	103	40		2	0		1,9%	0,0%				
+	katG	S315I (AGC/ATC)	143	103	40		0	0		0,0%	0,0%				
+	katG	S315R (AGC/AGA)	143	103	40		0	0		0,0%	0,0%				
+	katG	katG deletion	143	103	40		0	0		0,0%	0,0%				
+	katG	G279D (GGC/GAC)	143	103	40		0	0		0,0%	0,0%				
+	kasA	G269S (GGT/AGT)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	mabA, fabG1	-15 (C/T) h	143	103	40		3	0		2,9%	0,0%			h mutations in mabA/fabG1 promoter region and ahpC was only tested for when no katG 315 mutation was found	
+	mabA, fabG1	-8 (T/A) h	143	103	40		0	0		0,0%	0,0%				
+	mabA, fabG1	-8 (T/C) h	143	103	40		0	0		0,0%	0,0%				
+	ahpC	-46 (G/A) h	143	103	40		0	0		0,0%	0,0%				
+	ahpC	-39 (C/T) h	143	103	40		0	0		0,0%	0,0%				
+	ahpC	I21T (ATC/ACC) h	143	103	40		0	0		0,0%	0,0%				
+	N/A	Other I	143	103	40		2	0		1,9%	0,0%			I 2 isolates had 2 different other mutations (ahpC -52 C/T and -48 G/A)	
+	N/A	None detected	143	103	40		7	40		6,8%	100,0%				
+															
+Rifampin			No. of isolates tested				No. of isolates with mutation 			Proportion of tested with mutation					
+Reference/ Country/ Time period	Gene	Mutation	Total	R	S		R	S		R	S	Molecular detection method/ Gene coverage	DST method/ Resistance pattern among R isolates	Comments	
+Tatkov et al, 2007	rpoB	L511P ( CTG/CCG)	290	272	18		13	0		4,8%	0,0%	"Oligobased chip assay, PCR-SSCP and sequencing.
+RRDR"	"Absolute concentration method.
+94%  MDR"		
+Russia	rpoB	Q513L (CAA/CTA)	290	272	18		0	0		0,0%	0,0%				
+2000-2005	rpoB	D516V (GAC/GTC)	290	272	18		10	0		3,7%	0,0%				
+	rpoB	D516Y (GAC/TAC)	290	272	18		3	0		1,1%	0,0%				
+	rpoB	S522L (TCG/TTG)	290	272	18		2	0		0,7%	0,0%				
+	rpoB	H526Y (CAC/TAC)	290	272	18		10	0		3,7%	0,0%				
+	rpoB	H526D (CAC/GAC)	290	272	18		4	0		1,5%	0,0%				
+	rpoB	H526R (CAC/CGC)	290	272	18		1	0		0,4%	0,0%				
+	rpoB	H526L (CAC/CTC)	290	272	18		1	0		0,4%	0,0%				
+	rpoB	H526N (CAC/AAC) 	290	272	18		0	0		0,0%	0,0%				
+	rpoB	S531L (TCG/TTG)	290	272	18		176	0		64,7%	0,0%				
+	rpoB	S531W (TCG/TGG) 	290	272	18		2	0		0,7%	0,0%				
+	rpoB	L533P (CTG/CCG) 	290	272	18		5	0		1,8%	0,0%				
+	N/A	Other AB	290	272	18		7	0		2,6%	0,0%			AB 7 isolates had 4 different other mutations S512T, Q513G, S531C, S531N	
+	N/A	None detected	290	272	18		38	18		14,0%	100,0%				
+															
+Afanasev et al, 2007	rpoB	L511P ( CTG/CCG)	412	271	141		3	0		1,1%	0,0%	"Primer extension minisequencing and sequencing.
+RRDR "	"Absolute concentration method.
+11 R, 260 MDR"		
+Russia	rpoB	Q513L (CAA/CTA)	412	271	141		0	0		0,0%	0,0%				
+1997-2005	rpoB	D516V (GAC/GTC) N	412	271	141		18	0		6,6%	0,0%			N 1 isolate had both L511P and D516G (GAC/GGC) mutations	
+	rpoB	D516Y (GAC/TAC)	412	271	141		0	0		0,0%	0,0%			N 1 isolate had both L511P and D516G (GAC/GGC) mutations	
+	rpoB	S522L (TCG/TTG)	412	271	141		0	0		0,0%	0,0%			N 1 isolate had both L511P and D516G (GAC/GGC) mutations	
+	rpoB	H526Y (CAC/TAC)	412	271	141		10	0		3,7%	0,0%				
+	rpoB	H526D (CAC/GAC)	412	271	141		11	0		4,1%	0,0%				
+	rpoB	H526R (CAC/CGC)	412	271	141		9	0		3,3%	0,0%				
+	rpoB	H526L (CAC/CTC)	412	271	141		2	0		0,7%	0,0%			O 1 isolate had both S531W and H526L mutations	
+	rpoB	H526N (CAC/AAC)	412	271	141		3	0		1,1%	0,0%			O 1 isolate had both S531W and H526L mutations	
+	rpoB	S531L (TCG/TTG) O	412	271	141		177	0		65,3%	0,0%			P 4 isolates had both S531 L and H526Y, 1 isolate S531L and H526D, 1 isolate S531L and H526R mutations	
+	rpoB	S531W (TCG/TGG) P	412	271	141		6	0		2,2%	0,0%			Q 1 isolate had both S531W and H526L  mutations	
+	rpoB	L533P (CTG/CCG) Q	412	271	141		4	0		1,5%	0,0%				
+	N/A	Other R	412	271	141		6	0		2,2%	0,0%			R 6 isolates had 4 different other mutations [D516V (GAC/GTA), D516G (GAC/GGC), 514 ins TTC, Q513P (CAA/CCA)]	
+	N/A	None detected	412	271	141		30	141		11,1%	100,0%				
+															
+Huang et al, 2009	rpoB	L511P ( CTG/CCG)	272	242	30		0	0		0,0%	0,0%	"Sequencing and MTBDRplus.
+katG, oxyR-ahpC, inhA promoter, inhA"	Proportion method and MGIT 960. All MDR		
+Taiwan	rpoB	Q513L (CAA/CTA)	272	242	30		0	0		0,0%	0,0%				
+2007-2008	rpoB	D516V (GAC/GTC)	272	242	30		6	0		2,5%	0,0%				
+	rpoB	D516Y (GAC/TAC)	272	242	30		0	0		0,0%	0,0%				
+	rpoB	S522L (TCG/TTG)	272	242	30		0	0		0,0%	0,0%				
+	rpoB	H526Y (CAC/TAC)	272	242	30		23	0		9,5%	0,0%				
+	rpoB	H526D (CAC/GAC)	272	242	30		8	0		3,3%	0,0%				
+	rpoB	H526R (CAC/CGC)	272	242	30		9	0		3,7%	0,0%				
+	rpoB	H526L (CAC/CTC)	272	242	30		0	0		0,0%	0,0%				
+	rpoB	H526N (CAC/AAC)	272	242	30		0	0		0,0%	0,0%				
+	rpoB	S531L (TCG/TTG)	272	242	30		146	0		60,3%	0,0%				
+	rpoB	S531W (TCG/TGG) 	272	242	30		0	0		0,0%	0,0%				
+	rpoB	L533P (CTG/CCG)	272	242	30		13	0		5,4%	0,0%				
+	N/A	Other	272	242	30			0		0,0%	0,0%				
+	N/A	None detected	272	242	30		5	30		2,1%	100,0%				
+															
+Chan et al, 2007	rpoB	L511P ( CTG/CCG) S	300	221	79		2	0		0,9%	0,0%	"PCR-SSCP and Sequencing.
+RRDR"	"Absolute concentration method.
+6 R, 213 MDR, 2 PDR"	S 1 isolate had both L511P and N518D (AAC/GAC) and 1 isolate both L511P and S512G (AGC/GGC) mutations	
+Hong Kong	rpoB	Q513L (CAA/CTA)	300	221	79		4	0		1,8%	0,0%				
+1994-2004	rpoB	D516V (GAC/GTC)	300	221	79		2	0		0,9%	0,0%				
+	rpoB	D516Y (GAC/TAC)	300	221	79		2	1		0,9%	1,3%				
+	rpoB	S522L (TCG/TTG)	300	221	79		2	1		0,9%	1,3%				
+	rpoB	H526Y (CAC/TAC)	300	221	79		26	0		11,8%	0,0%				
+	rpoB	H526D (CAC/GAC)	300	221	79		7	0		3,2%	0,0%				
+	rpoB	H526R (CAC/CGC)	300	221	79		7	0		3,2%	0,0%				
+	rpoB	H526L (CAC/CTC)	300	221	79		2	1		0,9%	1,3%				
+	rpoB	H526N (CAC/AAC)	300	221	79		1	0		0,5%	0,0%				
+	rpoB	S531L (TCG/TTG) T	300	221	79		136	0		61,5%	0,0%			T 1 isolate had both S531L and Q513L and 1 isolate both S531L and H526D mutations	
+	rpoB	S531W (TCG/TGG) 	300	221	79		1	0		0,5%	0,0%				
+	rpoB	L533P (CTG/CCG) U	300	221	79		6	0		2,7%	0,0%			U 1 isolate had both L533P and N518D (AAC/GAC) mutations	
+	N/A	Other V	300	221	79		13	1		5,9%	1,3%			V 13 isolates had 9 different other mutations. 1 isolate had both D516Y and F505L (TTC/GTC) mutations	
+	N/A	None detected	300	221	79		15	77		6,8%	97,5%				
+															
+Yip et al, 2006	rpoB	L511P ( CTG/CCG)	3299	216	3083		6	7		2,8%	0,2%	"dHPLC and Sequencing.
+RRDR"	"Absolute concentration method.
+Only information about R resistance "		
+Hong Kong	rpoB	Q513L (CAA/CTA)	3299	216	3083		0	0		0,0%	0,0%				
+1999-2003	rpoB	D516V (GAC/GTC)	3299	216	3083		1	0		0,5%	0,0%				
+	rpoB	D516Y (GAC/TAC)	3299	216	3083		0	0		0,0%	0,0%				
+	rpoB	S522L (TCG/TTG)	3299	216	3083		2	0		0,9%	0,0%				
+	rpoB	H526Y (CAC/TAC)	3299	216	3083		25	0		11,6%	0,0%				
+	rpoB	H526D (CAC/GAC)	3299	216	3083		23	0		10,6%	0,0%				
+	rpoB	H526R (CAC/CGC)	3299	216	3083		5	0		2,3%	0,0%				
+	rpoB	H526L (CAC/CTC)	3299	216	3083		5	0		2,3%	0,0%				
+	rpoB	H526N (CAC/AAC) AC	3299	216	3083		3	0		1,4%	0,0%			AC 1 isolate had both H526N and L511P mutations	
+	rpoB	S531L (TCG/TTG)	3299	216	3083		112	0		51,9%	0,0%				
+	rpoB	S531W (TCG/TGG) 	3299	216	3083		1	0		0,5%	0,0%				
+	rpoB	L533P (CTG/CCG) 	3299	216	3083		16	0		7,4%	0,0%				
+	N/A	Other AD	3299	216	3083		12	0		5,6%	0,0%			AD 12 isolates had 9 different other mutations. 1 isolate had both L511P and M515I (ATG/ATA), 1 both L511P and S512G (AGC/GGC), 1 both H526L and L511R (CTG/CGG), 1 both L533P and N518D (AAC/GAC), 3 both H516N and A532V  mutations.	
+	N/A	None detected	3299	216	3083		12	3076		5,6%	99,8%				
+															
+Sivkov et al, 2006	rpoB	L511P ( CTG/CCG)	170	166	4		14	0		8,4%	0,0%	"Oligobased chip assay, PCR-SSCP and sequencing.
+RRDR"	"Absolute concentration method.
+All R monoresistant"		
+Russia	rpoB	Q513L (CAA/CTA)	170	166	4		0	0		0,0%	0,0%				
+2000-2002	rpoB	D516V (GAC/GTC)	170	166	4		6	0		3,6%	0,0%				
+	rpoB	D516Y (GAC/TAC)	170	166	4		3	0		1,8%	0,0%				
+	rpoB	S522L (TCG/TTG)	170	166	4		1	0		0,6%	0,0%				
+	rpoB	H526Y (CAC/TAC)	170	166	4		8	0		4,8%	0,0%				
+	rpoB	H526D (CAC/GAC)	170	166	4		1	0		0,6%	0,0%				
+	rpoB	H526R (CAC/CGC)	170	166	4		1	0		0,6%	0,0%				
+	rpoB	H526L (CAC/CTC)	170	166	4		0	0		0,0%	0,0%				
+	rpoB	H526N (CAC/AAC)	170	166	4		0	0		0,0%	0,0%				
+	rpoB	S531L (TCG/TTG)	170	166	4		97	0		58,4%	0,0%				
+	rpoB	S531W (TCG/TGG) 	170	166	4		1	0		0,6%	0,0%				
+	rpoB	L533P (CTG/CCG) 	170	166	4		1	0		0,6%	0,0%				
+	N/A	Other AA	170	166	4		6	0		3,6%	0,0%			AA 6 isolates had 4 different other mutations. 3 isolates had both D516Y and Q513G mutations.	
+	N/A	None detected	170	166	4		27	4		16,3%	100,0%				
+															
+Jou et al, 2005	rpoB	L511P ( CTG/CCG)	202	162	40		0	0		0,0%	0,0%	"Sequencing
+RRDR 541 bp region"	"N.S.
+All MDR"		
+Taiwan	rpoB	Q513L (CAA/CTA)	202	162	40		0	0		0,0%	0,0%				
+1998-2003	rpoB	D516V (GAC/GTC)	202	162	40		4	0		2,5%	0,0%				
+	rpoB	D516Y (GAC/TAC)	202	162	40		5	0		3,1%	0,0%				
+	rpoB	S522L (TCG/TTG)	202	162	40		2	0		1,2%	0,0%				
+	rpoB	H526Y (CAC/TAC)	202	162	40		14	0		8,6%	0,0%				
+	rpoB	H526D (CAC/GAC)	202	162	40		5	0		3,1%	0,0%				
+	rpoB	H526R (CAC/CGC)	202	162	40		3	0		1,9%	0,0%				
+	rpoB	H526L (CAC/CTC)	202	162	40		5	0		3,1%	0,0%				
+	rpoB	H526N (CAC/AAC)	202	162	40		1	0		0,6%	0,0%				
+	rpoB	S531L (TCG/TTG) 	202	162	40		75	0		46,3%	0,0%				
+	rpoB	S531W (TCG/TGG) 	202	162	40		2	0		1,2%	0,0%				
+	rpoB	L533P (CTG/CCG) 	202	162	40		6	0		3,7%	0,0%				
+	N/A	Other 	202	162	40		31	0		19,1%	0,0%			31 isolates had 21 different other mutations.	
+	N/A	None detected	202	162	40		16	40		9,9%	100,0%				
+															
+"Rifampin
+Cont."			No. of isolates tested				No. of isolates with mutation 			Proportion of tested with mutation					
+Reference/ Country/ Time period	Gene	Mutation	Total	R	S		R	S		R	S	Molecular detection method/ Gene coverage	DST method/ Resistance pattern among R isolates	Comments	
+Prammananan et al, 2008	rpoB	L511P ( CTG/CCG)	184	154	30		0	0		0,0%	0,0%	"MAS-PCR and Sequencing.
+RRDR and 365bp N-terminal"	"Proportion method.
+11R, 143 MDR"		
+Thailand	rpoB	Q513L (CAA/CTA)	184	154	30		0	0		0,0%	0,0%				
+2003-2005	rpoB	D516V (GAC/GTC)	184	154	30		12	0		7,8%	0,0%				
+	rpoB	D516Y (GAC/TAC)	184	154	30		1	0		0,6%	0,0%				
+	rpoB	S522L (TCG/TTG)	184	154	30		2	0		1,3%	0,0%				
+	rpoB	H526Y (CAC/TAC)	184	154	30		23	0		14,9%	0,0%				
+	rpoB	H526D (CAC/GAC)	184	154	30		5	0		3,2%	0,0%				
+	rpoB	H526R (CAC/CGC)	184	154	30		5	0		3,2%	0,0%				
+	rpoB	H526L (CAC/CTC)	184	154	30		6	0		3,9%	0,0%				
+	rpoB	H526N (CAC/AAC)	184	154	30		0	0		0,0%	0,0%				
+	rpoB	S531L (TCG/TTG) 	184	154	30		87	0		56,5%	0,0%				
+	rpoB	S531W (TCG/TGG) 	184	154	30		0	0		0,0%	0,0%				
+	rpoB	L533P (CTG/CCG) 	184	154	30		3	0		1,9%	0,0%				
+	N/A	Other	184	154	30		14	0		9,1%	0,0%				
+	N/A	None detected	184	154	30		0	30		0,0%	100,0%				
+															
+Suresh  et al, 2006	rpoB	L511P ( CTG/CCG)	187	149	38		2	0		1,3%	0,0%	"Sequencing.
+RRDR 437bp fragment"	"Proportion method.
+All MDR  "		
+India	rpoB	Q513L (CAA/CTA)	187	149	38		0	0		0,0%	0,0%				
+2001-2003	rpoB	D516V (GAC/GTC)	187	149	38		11	0		7,4%	0,0%				
+	rpoB	D516Y (GAC/TAC)	187	149	38		6	0		4,0%	0,0%				
+	rpoB	S522L (TCG/TTG)	187	149	38		0	0		0,0%	0,0%				
+	rpoB	H526Y (CAC/TAC)	187	149	38		16	0		10,7%	0,0%				
+	rpoB	H526D (CAC/GAC)	187	149	38		7	0		4,7%	0,0%				
+	rpoB	H526R (CAC/CGC)	187	149	38		6	0		4,0%	0,0%				
+	rpoB	H526L (CAC/CTC)	187	149	38		1	0		0,7%	0,0%				
+	rpoB	H526N (CAC/AAC)	187	149	38		0	0		0,0%	0,0%				
+	rpoB	S531L (TCG/TTG)	187	149	38		85	0		57,0%	0,0%				
+	rpoB	S531W (TCG/TGG) 	187	149	38		2	0		1,3%	0,0%				
+	rpoB	L533P (CTG/CCG) 	187	149	38		6	0		4,0%	0,0%				
+	N/A	Other Z	187	149	38		5	0		3,4%	0,0%			Z 5 isolates had 3 different other mutations [Q513R (CAA/CGA), 513 ins TTC, H516E (CAC/CAA)]	
+	N/A	None detected	187	149	38		3	38		2,0%	100,0%				
+															
+Miotto et al, 2006	rpoB	L511P ( CTG/CCG)	206	142	64		2	1		1,4%	1,6%	"Oligobased hybridization assay and sequencing.
+RRDR"	"BACTEC 460, MGIT 960 and proportion method.
+3 R, 139 MDR, 18 PDR "		
+Italy	rpoB	Q513L (CAA/CTA)	206	142	64		1	0		0,7%	0,0%				
+2002-2005	rpoB	D516V (GAC/GTC)	206	142	64		11	1		7,7%	1,6%				
+	rpoB	D516Y (GAC/TAC)	206	142	64		2	0		1,4%	0,0%				
+	rpoB	S522L (TCG/TTG)	206	142	64		0	0		0,0%	0,0%				
+	rpoB	H526Y (CAC/TAC)	206	142	64		10	0		7,0%	0,0%				
+	rpoB	H526D (CAC/GAC)	206	142	64		3	0		2,1%	0,0%				
+	rpoB	H526R (CAC/CGC)	206	142	64		1	0		0,7%	0,0%				
+	rpoB	H526L (CAC/CTC)	206	142	64		1	0		0,7%	0,0%				
+	rpoB	H526N (CAC/AAC)	206	142	64		2	0		1,4%	0,0%				
+	rpoB	S531L (TCG/TTG)	206	142	64		87	0		61,3%	0,0%				
+	rpoB	S531W (TCG/TGG) 	206	142	64		2	0		1,4%	0,0%				
+	rpoB	L533P (CTG/CCG) W	206	142	64		3	2		2,1%	3,1%			w 1 isolate had both D516Y andL533P mutations	
+	N/A	Other X	206	142	64		17	0		12,0%	0,0%			X 17 isolates had 14 different other mutations	
+	N/A	None detected	206	142	64		8	61		5,6%	95,3%				
+															
+Park et al, 2006	rpoB	L511P ( CTG/CCG)	243	115	128		1	0		0,9%	0,0%	"Oligobased hybridization assay and sequencing.
+RRDR 511-533"	"Proportion method.
+3 R, 112 MDR "		
+Korea	rpoB	Q513L (CAA/CTA)	243	115	128		1	0		0,9%	0,0%				
+N.S.	rpoB	D516V (GAC/GTC)	243	115	128		10	0		8,7%	0,0%				
+	rpoB	D516Y (GAC/TAC)	243	115	128		3	0		2,6%	0,0%				
+	rpoB	S522L (TCG/TTG)	243	115	128		2	0		1,7%	0,0%				
+	rpoB	H526Y (CAC/TAC)	243	115	128		7	0		6,1%	0,0%				
+	rpoB	H526D (CAC/GAC)	243	115	128		7	0		6,1%	0,0%				
+	rpoB	H526R (CAC/CGC)	243	115	128		6	0		5,2%	0,0%				
+	rpoB	H526L (CAC/CTC)	243	115	128		4	0		3,5%	0,0%				
+	rpoB	H526N (CAC/AAC)	243	115	128		0	0		0,0%	0,0%				
+	rpoB	S531L (TCG/TTG)	243	115	128		60	0		52,2%	0,0%				
+	rpoB	S531W (TCG/TGG) 	243	115	128		0	0		0,0%	0,0%				
+	rpoB	L533P (CTG/CCG) 	243	115	128		3	2		2,6%	1,6%				
+	N/A	Other Y	243	115	128		3	0		2,6%	0,0%			Y 3 isolates had an undefined mutation in Q513?	
+	N/A	None detected	243	115	128		8	126		7,0%	98,4%				
+															
+Wang et al, 2007	rpoB	L511P ( CTG/CCG)	142	112	30		3	0		2,7%	0,0%	"Sequencing.
+Whole rpoB and Rv2629"	"Proportion method and MGIT 960.
+N.S."		
+China	rpoB	Q513L (CAA/CTA)	142	112	30		0	0		0,0%	0,0%				
+N.S.	rpoB	D516V (GAC/GTC)	142	112	30		2	0		1,8%	0,0%				
+	rpoB	D516Y (GAC/TAC)	142	112	30		1	0		0,9%	0,0%				
+	rpoB	S522L (TCG/TTG)	142	112	30		0	0		0,0%	0,0%				
+	rpoB	H526Y (CAC/TAC)	142	112	30		9	0		8,0%	0,0%				
+	rpoB	H526D (CAC/GAC)	142	112	30		7	0		6,3%	0,0%				
+	rpoB	H526R (CAC/CGC)	142	112	30		4	0		3,6%	0,0%				
+	rpoB	H526L (CAC/CTC)	142	112	30		11	0		9,8%	0,0%				
+	rpoB	H526N (CAC/AAC)	142	112	30		3	0		2,7%	0,0%				
+	rpoB	S531L (TCG/TTG) 	142	112	30		35	0		31,3%	0,0%				
+	rpoB	S531W (TCG/TGG) 	142	112	30		15	0		13,4%	0,0%				
+	rpoB	L533P (CTG/CCG) 	142	112	30		0	0		0,0%	0,0%				
+	N/A	Other	142	112	30		11	0		9,8%	0,0%				
+	N/A	None detected	142	112	30		11	30		9,8%	100,0%				
+															
+Tho et al, 2008	rpoB	L511P ( CTG/CCG)	154	104	50		3	0		2,9%	0,0%	"MAS-PCR, MTBDR assay and Sequencing.
+RRDR 81bp"	"Proportion method.
+2R, 102 MDR"		
+Vietnam	rpoB	Q513L (CAA/CTA)	154	104	50		1	0		1,0%	0,0%				
+2005	rpoB	D516V (GAC/GTC)	154	104	50		10	0		9,6%	0,0%				
+	rpoB	D516Y (GAC/TAC)	154	104	50		0	0		0,0%	0,0%				
+	rpoB	S522L (TCG/TTG)	154	104	50		0	0		0,0%	0,0%				
+	rpoB	H526Y (CAC/TAC)	154	104	50		14	0		13,5%	0,0%				
+	rpoB	H526D (CAC/GAC)	154	104	50		7	0		6,7%	0,0%				
+	rpoB	H526R (CAC/CGC)	154	104	50		5	0		4,8%	0,0%				
+	rpoB	H526L (CAC/CTC)	154	104	50		1	0		1,0%	0,0%				
+	rpoB	H526N (CAC/AAC)	154	104	50		2	0		1,9%	0,0%				
+	rpoB	S531L (TCG/TTG) 	154	104	50		46	0		44,2%	0,0%				
+	rpoB	S531W (TCG/TGG) 	154	104	50		0	0		0,0%	0,0%				
+	rpoB	L533P (CTG/CCG) 	154	104	50		5	0		4,8%	0,0%				
+	N/A	Other	154	104	50		19	0		18,3%	0,0%			"19 isolates had 11 other different mutations; V146F, S512G, Q513K, 514INS::TTC, D516A, D516G, 521INS::TCGGGGTTG, H526Q, H526S, H526F, I561V."	
+	N/A	None detected	154	104	50		4	50		3,8%	100,0%				
+															
+Sun et al, 2009	rpoB	L511P ( CTG/CCG)	235	102	133		0	0		0,0%	0,0%	"Sequencing
+Whole rpoB"	"Proportion method.
+N.S"		
+China	rpoB	Q513L (CAA/CTA)	235	102	133		0	0		0,0%	0,0%				
+2005-2006	rpoB	D516V (GAC/GTC)	235	102	133		6	0		5,9%	0,0%				
+	rpoB	D516Y (GAC/TAC)	235	102	133		2	0		2,0%	0,0%				
+	rpoB	S522L (TCG/TTG)	235	102	133		0	0		0,0%	0,0%				
+	rpoB	H526Y (CAC/TAC)	235	102	133		13	0		12,7%	0,0%				
+	rpoB	H526D (CAC/GAC)	235	102	133		15	0		14,7%	0,0%				
+	rpoB	H526R (CAC/CGC)	235	102	133		11	0		10,8%	0,0%				
+	rpoB	H526L (CAC/CTC)	235	102	133		11	0		10,8%	0,0%				
+	rpoB	H526N (CAC/AAC)	235	102	133		0	0		0,0%	0,0%				
+	rpoB	S531L (TCG/TTG) 	235	102	133		41	0		40,2%	0,0%				
+	rpoB	S531W (TCG/TGG) 	235	102	133		0	0		0,0%	0,0%				
+	rpoB	L533P (CTG/CCG) 	235	102	133		3	0		2,9%	0,0%				
+	N/A	Other	235	102	133		0	3		0,0%	2,3%				
+	N/A	None detected	235	102	133		3	130		2,9%	97,7%				
+															
+"Fluoroquinolones
+"			No. of isolates tested				No. of isolates with mutation 			Proportion of tested with mutation					
+Reference/ Country/ Time period	Gene	Mutation	Total	R	S		R	S		R	S	Molecular detection method/ Gene coverage	DST method/ Resistance pattern among R isolates	Comments	
+Hillemann et al, 2005	rpoB	L511P ( CTG/CCG)	143	103	40		0	0		0,0%	0,0%	"Real-time PCR, MTBDR assay and Sequencing.
+RRDR 81bp"	"BACTEC 460.
+All MDR"		
+Germany	rpoB	Q513L (CAA/CTA)	143	103	40		0	0		0,0%	0,0%				
+2001	rpoB	D516V (GAC/GTC)	143	103	40		2	0		1,9%	0,0%				
+	rpoB	D516Y (GAC/TAC)	143	103	40		1	0		1,0%	0,0%				
+	rpoB	S522L (TCG/TTG)	143	103	40		2	0		1,9%	0,0%				
+	rpoB	H526Y (CAC/TAC)	143	103	40		2	0		1,9%	0,0%				
+	rpoB	H526D (CAC/GAC)	143	103	40		1	0		1,0%	0,0%				
+	rpoB	H526R (CAC/CGC)	143	103	40		3	0		2,9%	0,0%				
+	rpoB	H526L (CAC/CTC)	143	103	40		3	0		2,9%	0,0%				
+	rpoB	H526N (CAC/AAC)	143	103	40		4	0		3,9%	0,0%				
+	rpoB	S531L (TCG/TTG) 	143	103	40		74	0		71,8%	0,0%				
+	rpoB	S531W (TCG/TGG) 	143	103	40		3	0		2,9%	0,0%				
+	rpoB	L533P (CTG/CCG) 	143	103	40		0	0		0,0%	0,0%				
+	N/A	Other AE	143	103	40		10	0		9,7%	0,0%			AE 10 isolates had 9 different other mutations V176F (GTC/TTC), Q513P (CAA/CCA), 514-516 del, 517 del, N518I (AAC/ATC), 519 del, S522Q (TCG/CAG), H526C (CAC/TGC), S531F (TCG/TTT) 	
+	N/A	None detected	143	103	40		1	40		1,0%	100,0%				
+															
+Shi et al, 2006	gyrA	A74S (GCC/TCC)	109	87	22		10	0		11,5%	0,0%	"DHPLC and Sequencing.
+gyrA: codon 74-95"	"Absolute concentration method.
+N.S."		
+China	gyrA	A90V (GCG/GTG)	109	87	22		47	2		54,0%	9,1%				
+2002-2003	gyrA	S91P (TCG/CCG) AF	109	87	22		10	1		11,5%	4,5%			AF 9 isolates had both S91P and A90V mutations	
+	gyrA	D94G (GAC/GGC) AG	109	87	22		42	1		48,3%	4,5%			AG 10 isolates had both D94G and A74S mutations and 26 had both D94G and A90V mutations	
+	gyrA	D94N (GAC/AAC) AH	109	87	22		25	0		28,7%	0,0%			AH 7 isolates had both D94N and A90V mutations	
+	gyrA	D94A (GAC/GCC)	109	87	22		1	0		1,1%	0,0%				
+	gyrA	D94Y (GAC/TAC)	109	87	22		3	0		3,4%	0,0%				
+	gyrA	D94H (GAC/CAC)	109	87	22		0	0		0,0%	0,0%				
+	gyrA	P102H (CCC/CAC)	109	87	22		0	0		0,0%	0,0%				
+	gyrA	A126R (GCG/AGG)	109	87	22		0	0		0,0%	0,0%				
+	gyrB	N538D (AAC/GAC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	N/A	Other	109	87	22		0	0		0,0%	0,0%				
+	N/A	None detected	109	87	22		1	18		1,1%	81,8%				
+															
+Sulochana et al, 2007 AI	gyrA	A74S (GCC/TCC)	118	72	46		0	0		0,0%	0,0%	"Sequencing.
+QRDR of gyrA and gyrB"	"Absolute concentration method.
+38 O, 31 MDR, 2 PDR"	AI In order to be more in line with the other studies I counted isolates with moderate sensitivity (2mg/L) as resistant.	
+India	gyrA	A90V (GCG/GTG)	118	72	46		7	0		9,7%	0,0%				
+N.S.	gyrA	S91P (TCG/CCG)	118	72	46		1	0		1,4%	0,0%				
+	gyrA	D94G (GAC/GGC)	118	72	46		10	0		13,9%	0,0%				
+	gyrA	D94N (GAC/AAC)	118	72	46		1	0		1,4%	0,0%				
+	gyrA	D94A (GAC/GCC)	118	72	46		11	0		15,3%	0,0%				
+	gyrA	D94Y (GAC/TAC)	118	72	46		0	0		0,0%	0,0%				
+	gyrA	D94H (GAC/CAC)	118	72	46		0	0		0,0%	0,0%				
+	gyrA	P102H (CCC/CAC)	118	72	46		0	0		0,0%	0,0%				
+	gyrA	A126R (GCG/AGG)	118	72	46		0	0		0,0%	0,0%				
+	gyrB	N538D (AAC/GAC) AJ	118	72	46		0	0		N/A	N/A			AJ Only 2 OFL resistant isolates without gyrA mutations were screened for gyrB mutations	
+	N/A	Other AK	118	72	46		3	1		4,2%	2,2%			AK 2 isolates had two different other mutations. L109V (CTG/GTG) and D94V (GAC/GTC)	
+	N/A	None detected	118	72	46		39	45		54,2%	97,8%				
+															
+Chan et al, 2007	gyrA	A74S (GCC/TCC)	250	71	179		0	0		0,0%	0,0%	"PCR-SSCP and Sequencing.
+QRDR of gyrA"	"Absolute concentration method.
+69 MDR, 2 PDR"		
+Hong Kong	gyrA	A90V (GCG/GTG)	250	71	179		10	0		14,1%	0,0%				
+1994-2004	gyrA	S91P (TCG/CCG)	250	71	179		4	0		5,6%	0,0%				
+	gyrA	D94G (GAC/GGC)	250	71	179		19	0		26,8%	0,0%				
+	gyrA	D94N (GAC/AAC)	250	71	179		1	0		1,4%	0,0%				
+	gyrA	D94A (GAC/GCC)	250	71	179		6	1		8,5%	0,6%				
+	gyrA	D94Y (GAC/TAC)	250	71	179		7	0		9,9%	0,0%				
+	gyrA	D94H (GAC/CAC)	250	71	179		5	0		7,0%	0,0%				
+	gyrA	P102H (CCC/CAC) AL	250	71	179		1	0		1,4%	0,0%			AL 1  Isolate had both A90V and P102H mutations. 	
+	gyrA	A126R (GCG/AGG)	250	71	179		2	0		2,8%	0,0%				
+	gyrB	N538D (AAC/GAC)*	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	N/A	Other AM	250	71	179		1	0		1,4%	0,0%			AM G88C (GGC/TGC).	
+	N/A	None detected	250	71	179		16	178		22,5%	99,4%				
+															
+Siddiqi et al, 2002	gyrA	A74S (GCC/TCC)	128	69	59		0	0		0,0%	0,0%	"Sequencing.
+gyrA: codon 89-95 and fragment of gyrB"	"Proportion method.
+18 O, 18 MDR, 33 PDR"		
+India	gyrA	A90V (GCG/GTG)	128	69	59		2	0		2,9%	0,0%				
+1995-1998	gyrA	S91P (TCG/CCG)	128	69	59		1	0		1,4%	0,0%				
+	gyrA	D94G (GAC/GGC)	128	69	59		2	0		2,9%	0,0%				
+	gyrA	D94N (GAC/AAC)	128	69	59		0	0		0,0%	0,0%				
+	gyrA	D94A (GAC/GCC)	128	69	59		2	0		2,9%	0,0%				
+	gyrA	D94Y (GAC/TAC)	128	69	59		0	0		0,0%	0,0%				
+	gyrA	D94H (GAC/CAC)	128	69	59		0	0		0,0%	0,0%				
+	gyrA	P102H (CCC/CAC)	128	69	59		0	0		0,0%	0,0%				
+	gyrA	A126R (GCG/AGG)	128	69	59		0	0		0,0%	0,0%				
+	gyrB	N538D (AAC/GAC)	128	69	59		0	0		0,0%	0,0%				
+	N/A	Other	128	69	59		0	0		0,0%	0,0%				
+	N/A	None detected*	128	69	59		62	59		89,9%	100,0%				
+															
+Antonova et al, 2008	gyrA	A74S (GCC/TCC)	185	67	118		0	0		0,0%	0,0%	"Oligobased chip assay and sequencing.
+QRDR of gyrA "	"Absolute concentration method.
+N.S."		
+Russia	gyrA	A90V (GCG/GTG)	185	67	118		13	3		19,4%	2,5%				
+N.S.	gyrA	S91P (TCG/CCG) AF	185	67	118		6	0		9,0%	0,0%			AF 9 isolates had both S91P and A90V mutations	
+	gyrA	D94G (GAC/GGC) AG	185	67	118		1	0		1,5%	0,0%			AG 10 isolates had both D94G and A74S mutations and 26 had both D94G and A90V mutations	
+	gyrA	D94N (GAC/AAC) AH	185	67	118		8	0		11,9%	0,0%			AH 7 isolates had both D94N and A90V mutations	
+	gyrA	D94A (GAC/GCC)	185	67	118		7	0		10,4%	0,0%				
+	gyrA	D94Y (GAC/TAC)	185	67	118		5	0		7,5%	0,0%				
+	gyrA	D94H (GAC/CAC)	185	67	118		1	0		1,5%	0,0%				
+	gyrA	P102H (CCC/CAC)	185	67	118		0	0		0,0%	0,0%				
+	gyrA	A126R (GCG/AGG)	185	67	118		0	0		0,0%	0,0%				
+	gyrB	N538D (AAC/GAC)	N/A	N/A	N/A	N/A	N/A	N/A		N/A	N/A				
+	N/A	Other	185	67	118		1	0		1,5%	0,0%				
+	N/A	None detected	185	67	118		5	115		7,5%	97,5%				
+															
+Park et al, 2005	gyrA	A74S (GCC/TCC)	73	63	10		0	0		0,0%	0,0%	"Sequencing.
+QRDR of gyrA and gyrB"	"Proportion method.
+All O resistant and different patterns of resistance to other FLQs"		
+South Korea	gyrA	A90V (GCG/GTG)	73	63	10		12	0		19,0%	0,0%				
+2004	gyrA	S91P (TCG/CCG)	73	63	10		6	0		9,5%	0,0%				
+	gyrA	D94G (GAC/GGC)	73	63	10		21	0		33,3%	0,0%				
+	gyrA	D94N (GAC/AAC)	73	63	10		2	0		3,2%	0,0%				
+	gyrA	D94A (GAC/GCC)	73	63	10		6	0		9,5%	0,0%				
+	gyrA	D94Y (GAC/TAC)	73	63	10		1	0		1,6%	0,0%				
+	gyrA	D94H (GAC/CAC)	73	63	10		2	0		3,2%	0,0%				
+	gyrA	P102H (CCC/CAC)	73	63	10		0	0		0,0%	0,0%				
+	gyrA	A126R (GCG/AGG)	73	63	10		0	0		0,0%	0,0%				
+	gyrB	N538D (AAC/GAC)	73	63	10		0	0		0,0%	0,0%				
+	N/A	Other AO	73	63	10		1	0		1,6%	0,0%			AN G88A (GGC/GCC)	
+	N/A	None detected	73	63	10		12	10		19,0%	100,0%				
+															
+"Fluoroquinolones
+Cont."			No. of isolates tested				No. of isolates with mutation 			Proportion of tested with mutation					
+Reference/ Country/ Time period	Gene	Mutation	Total	R	S		R	S		R	S	Molecular detection method/ Gene coverage	DST method/ Resistance pattern among R isolates	Comments	
+Cheng et al, 2004	gyrA	A74S (GCC/TCC)	138	55	83		0	0		0,0%	0,0%	"PCR-SSCP and sequencing.
+gyrA: 320bp fragment"	"Absolute concentration  and broth macrodilution methods.
+Among 138 isolates 92 were MDR, among these 55 were O resistant"		
+Hong Kong	gyrA	A90V (GCG/GTG)	138	55	83		5	0		9,1%	0,0%				
+1991-2000	gyrA	S91P (TCG/CCG)	138	55	83		4	0		7,3%	0,0%				
+	gyrA	D94G (GAC/GGC)	138	55	83		11	0		20,0%	0,0%				
+	gyrA	D94N (GAC/AAC)	138	55	83		1	0		1,8%	0,0%				
+	gyrA	D94A (GAC/GCC)	138	55	83		3	0		5,5%	0,0%				
+	gyrA	D94Y (GAC/TAC)	138	55	83		5	0		9,1%	0,0%				
+	gyrA	D94H (GAC/CAC)	138	55	83		3	0		5,5%	0,0%				
+	gyrA	P102H (CCC/CAC)	138	55	83		0	0		0,0%	0,0%				
+	gyrA	A126R (GCG/AGG)	138	55	83		0	0		0,0%	0,0%				
+	gyrB	N538D (AAC/GAC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	N/A	Other	138	55	83		0	0		0,0%	0,0%				
+	N/A	None detected	138	55	83		23	0		41,8%	0,0%				
+															
+Lee et al, 2002	gyrA	A74S (GCC/TCC)	100	53	47		0	0		0,0%	0,0%	"Sequencing.
+QRDR of gyrA and gyrB"	"BACTEC 460.
+Resistant to at least one additional drug (H, R, S, E)"		
+Singapore	gyrA	A90V (GCG/GTG)	100	53	47		0	0		0,0%	0,0%				
+N.S	gyrA	S91P (TCG/CCG)	100	53	47		0	0		0,0%	0,0%				
+	gyrA	D94G (GAC/GGC)	100	53	47		0	0		0,0%	0,0%				
+	gyrA	D94N (GAC/AAC)	100	53	47		0	0		0,0%	0,0%				
+	gyrA	D94A (GAC/GCC)	100	53	47		0	0		0,0%	0,0%				
+	gyrA	D94Y (GAC/TAC)	100	53	47		0	0		0,0%	0,0%				
+	gyrA	D94H (GAC/CAC)	100	53	47		0	0		0,0%	0,0%				
+	gyrA	P102H (CCC/CAC)	100	53	47		0	0		0,0%	0,0%				
+	gyrA	A126R (GCG/AGG)	100	53	47		0	0		0,0%	0,0%				
+	gyrB	N538D (AAC/GAC)	100	53	47		0	0		0,0%	0,0%				
+	N/A	Other AO	100	53	47		1	0		1,9%	0,0%			AO 1 resistant isolate had a mutation in gyrB D505A (GAC/GCC)	
+	N/A	None detected	100	53	47		52	47		98,1%	100,0%				
+															
+Mokrousov et al, 2008	gyrA	A74S (GCC/TCC)	70	48	22		0	0		0,0%	0,0%	"Sequencing.
+QRDR of gyrA and gyrB"	"Absolute concentration method.
+45 XDR, 3 MDR"		
+Russia	gyrA	A90V (GCG/GTG)	70	48	22		8	0		16,7%	0,0%				
+2006	gyrA	S91P (TCG/CCG)	70	48	22		0	0		0,0%	0,0%				
+	gyrA	D94G (GAC/GGC)	70	48	22		19	0		39,6%	0,0%				
+	gyrA	D94N (GAC/AAC)	70	48	22		10	0		20,8%	0,0%				
+	gyrA	D94A (GAC/GCC)	70	48	22		3	0		6,3%	0,0%				
+	gyrA	D94Y (GAC/TAC)	70	48	22		9	0		18,8%	0,0%				
+	gyrA	D94H (GAC/CAC)	70	48	22		0	0		0,0%	0,0%				
+	gyrA	P102H (CCC/CAC)	70	48	22		0	0		0,0%	0,0%				
+	gyrA	A126R (GCG/AGG)	70	48	22		0	0		0,0%	0,0%				
+	gyrB	N538D (AAC/GAC)	70	48	22		0	0		N/A	N/A				
+	N/A	Other*	70	48	22		0	0		0,0%	0,0%				
+	N/A	None detected	70	48	22		8	22		16,7%	100,0%				
+															
+Zhao et al, 2004	gyrA	A74S (GCC/TCC)	68	44	24		0	0		0,0%	0,0%	"PCR-SSCP and Sequencing.
+QRDR of gyrA"	"Absolute concentration method.
+N.S."		
+China	gyrA	A90V (GCG/GTG)	68	44	24		15	7		34,1%	29,2%				
+N.S	gyrA	S91P (TCG/CCG)	68	44	24		0	0		0,0%	0,0%				
+	gyrA	D94G (GAC/GGC)	68	44	24		16	4		36,4%	16,7%				
+	gyrA	D94N (GAC/AAC)	68	44	24		0	0		0,0%	0,0%				
+	gyrA	D94A (GAC/GCC)	68	44	24		0	0		0,0%	0,0%				
+	gyrA	D94Y (GAC/TAC)	68	44	24		0	0		0,0%	0,0%				
+	gyrA	D94H (GAC/CAC)	68	44	24		0	0		0,0%	0,0%				
+	gyrA	P102H (CCC/CAC)	68	44	24		0	0		0,0%	0,0%				
+	gyrA	A126R (GCG/AGG)	68	44	24		0	0		0,0%	0,0%				
+	gyrB	N538D (AAC/GAC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	N/A	Other*	68	44	24		15	0		34,1%	0,0%				
+	N/A	None detected	68	44	24		8	14		18,2%	58,3%				
+															
+An et al, 2005	gyrA	A74S (GCC/TCC)	75	42	33		0	0		0,0%	0,0%	"Sequencing, PCR-SSCP.
+QRDR of gyrA"	"Proportion method.
+All monoresistant"		
+China	gyrA	A90V (GCG/GTG)	75	42	33		10	0		23,8%	0,0%				
+N.S.	gyrA	S91P (TCG/CCG)	75	42	33		0	0		0,0%	0,0%				
+	gyrA	D94G (GAC/GGC)	75	42	33		15	0		35,7%	0,0%				
+	gyrA	D94N (GAC/AAC)	75	42	33		0	0		0,0%	0,0%				
+	gyrA	D94A (GAC/GCC)	75	42	33		2	0		4,8%	0,0%				
+	gyrA	D94Y (GAC/TAC)	75	42	33		4	0		9,5%	0,0%				
+	gyrA	D94H (GAC/CAC)	75	42	33		3	0		7,1%	0,0%				
+	gyrA	P102H (CCC/CAC)	75	42	33		0	0		0,0%	0,0%				
+	gyrA	A126R (GCG/AGG)	75	42	33		0	0		0,0%	0,0%				
+	gyrB	N538D (AAC/GAC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	N/A	Other	75	42	33		0	0		0,0%	0,0%				
+	N/A	None detected	75	42	33		8	33		19,0%	100,0%				
+															
+van Doorn et al, 2008	gyrA	A74S (GCC/TCC)	82	42	40	0	0	0		0,0%	0,0%	"Sequencing.
+QRDR of gyrA"	"Absolute concentration method and MGIT 960.
+24 MDR, 11 O or PDR"		
+Vietnam	gyrA	A90V (GCG/GTG)	82	42	40		15	0		35,7%	0,0%				
+2005-2006	gyrA	S91P (TCG/CCG)	82	42	40		1	0		2,4%	0,0%				
+	gyrA	D94G (GAC/GGC)	82	42	40		12	0		28,6%	0,0%				
+	gyrA	D94N (GAC/AAC)	82	42	40		0	0		0,0%	0,0%				
+	gyrA	D94A (GAC/GCC)	82	42	40		5	0		11,9%	0,0%				
+	gyrA	D94Y (GAC/TAC)	82	42	40		1	0		2,4%	0,0%				
+	gyrA	D94H (GAC/CAC)	82	42	40		0	0		0,0%	0,0%				
+	gyrA	P102H (CCC/CAC)	82	42	40	0	0	0		0,0%	0,0%			AP 2 isolates with both P102H and A90V mutations	
+	gyrA	A126R (GCG/AGG)	82	42	40	0	0	0		0,0%	0,0%				
+	gyrB	N538D (AAC/GAC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	N/A	Other	82	42	40		2	0		4,8%	0,0%				
+	N/A	None detected	82	42	40		10	40		23,8%	100,0%				
+															
+Kam et al, 2006*	gyrA	A74S (GCC/TCC)	55	35	20		0	0		0,0%	0,0%	"Sequencing.
+QRDR of gyrA"	"Absolute concentration method and MGIT 960.
+24 MDR, 11 O or PDR"	* Sequencing was preformed for isolates with OFL MIC >= 4 ug/ml, MIC <= 2ug/ml was defined as OFL sensitive	
+Hong Kong	gyrA	A90V (GCG/GTG)	55	35	20		10	0		28,6%	0,0%				
+1999-2003	gyrA	S91P (TCG/CCG)	55	35	20		1	0		2,9%	0,0%				
+	gyrA	D94G (GAC/GGC)	55	35	20		12	0		34,3%	0,0%				
+	gyrA	D94N (GAC/AAC)	55	35	20		0	0		0,0%	0,0%				
+	gyrA	D94A (GAC/GCC)	55	35	20		5	0		14,3%	0,0%				
+	gyrA	D94Y (GAC/TAC)	55	35	20		2	0		5,7%	0,0%				
+	gyrA	D94H (GAC/CAC)	55	35	20		1	0		2,9%	0,0%				
+	gyrA	P102H (CCC/CAC) AP	55	35	20		2	1		5,7%	5,0%			AP 2 isolates with both P102H and A90V mutations	
+	gyrA	A126R (GCG/AGG)	55	35	20		2	0		5,7%	0,0%				
+	gyrB	N538D (AAC/GAC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	N/A	Other	55	35	20		0	0		0,0%	0,0%				
+	N/A	None detected	55	35	20		2	19		5,7%	95,0%				
+															
+Streptomycin			No. of isolates tested				No. of isolates with mutation 			Proportion of tested with mutation					
+Reference/ Country/ Time period	Gene	Mutation	Total	R	S		R	S		R	S	Molecular detection method/ Gene coverage	DST method/ Resistance pattern among R isolates	Comments	
+Shi et al, 2007	rpsL	K43R (AAG/AGG)	215	115	100		81	0		70,4%	0,0%	"DHPLC analysis and sequencing.
+Hot spot in rpsL, 530, 912 loop and 1400 region of rrs"	"Absolute concentration method.
+43 MDR"		
+China	rpsL	K88R (AAG/AGG)	215	115	100		7	0		6,1%	0,0%				
+2002-2004	rpsL	K88Q (AAG/CAG)	215	115	100		0	0		0,0%	0,0%				
+	rrs	491 (C/T)	215	115	100		0	0		0,0%	0,0%				
+	rrs	512 (C/T)	215	115	100		0	0		0,0%	0,0%				
+	rrs	513 (A/T)	215	115	100		0	0		0,0%	0,0%				
+	rrs	513 (A/C)	215	115	100		8	0		7,0%	0,0%				
+	rrs	516 (C/T)	215	115	100		1	0		0,9%	0,0%				
+	rrs	906 (A/C)	215	115	100		1	0		0,9%	0,0%				
+	N/A	Other AQ	215	115	100		8	0		7,0%	0,0%			AQ 8 isolates had 6 different other mutations. 1 isolate had both rpsL K43R, rrs 462 (T/G) and rrs 645 del A mutations. 1  had both rpsL K43R and rpsL G71S (GGC/AGC) mutations. 1 had both  rpsL K43R and rrs 1400 (A/G) mutations. 2 had both rpsL K43R and rrs 1401 (C/T) mutations. 2 had both rrs 513 (A/C) and rrs 645 del A mutations.	
+	N/A	None detected	215	115	100		17	100		14,8%	100,0%				
+															
+Sun YJ et al, 2009	rpsL	K43R (AAG/AGG)	148	102	46		82	0		80,4%	0,0%	"Sequencing.
+Whole genes or rpsL and rrs"	"BACTEC 460 
+N.S."		
+Singapore	rpsL	K88R (AAG/AGG)	148	102	46		8	0		7,8%	0,0%				
+1994-1996	rpsL	K88Q (AAG/CAG)	148	102	46		1	0		1,0%	0,0%				
+	rrs	491 (C/T)	148	102	46		0	0		0,0%	0,0%				
+	rrs	512 (C/T)	148	102	46		0	0		0,0%	0,0%				
+	rrs	513 (A/C)	148	102	46		0	0		0,0%	0,0%				
+	rrs	513 (A/T)	148	102	46		3	0		2,9%	0,0%				
+	rrs	516 (C/T)	148	102	46		2	0		2,0%	0,0%				
+	rrs	906 (A/C)	148	102	46		0	0		0,0%	0,0%				
+	N/A	Other AQ2	148	102	46		1	0		1,0%	0,0%			AQ2 1 isolate had 1 different other mutation, rpsL K88T 	
+	N/A	None detected	148	102	46		5	46		4,9%	100,0%				
+															
+Wu et al, 2006 	rpsL	K43R (AAG/AGG)	167	98	69		71	0		72,4%	0,0%	"RDBH, SSCP, RFLP and sequencing.
+Hot spot in rpsL, 530 loop of rrs"	"Absolute concentration method.
+12 S, 54 MDR, 32 PDR"		
+China	rpsL	K88R (AAG/AGG)	167	98	69		7	0		7,1%	0,0%				
+1999-2004	rpsL	K88Q (AAG/CAG)	167	98	69		0	0		0,0%	0,0%				
+	rrs	491 (C/T)	167	98	69		0	0		0,0%	0,0%				
+	rrs	512 (C/T)	167	98	69		0	0		0,0%	0,0%				
+	rrs	513 (A/C)	167	98	69		4	0		4,1%	0,0%				
+	rrs	513 (A/T)	167	98	69		1	0		1,0%	0,0%				
+	rrs	516 (C/T)	167	98	69		1	0		1,0%	0,0%				
+	rrs	906 (A/C)	167	98	69		0	0		0,0%	0,0%				
+	N/A	Other	167	98	69		0	0		0,0%	0,0%				
+	N/A	None detected	167	98	69		14	69		14,3%	100,0%				
+															
+Brzostek et al, 2004	rpsL	K43R (AAG/AGG)	103	88	15		27	0		30,7%	0,0%	"Sequencing.
+Hot spot in rpsL and 530 and 912 loop of rrs"	"BACTEC 460 and proportion method.
+N.S."		
+Poland	rpsL	K88R (AAG/AGG)	103	88	15		3	0		3,4%	0,0%				
+2000	rpsL	K88Q (AAG/CAG)	103	88	15		1	0		1,1%	0,0%				
+	rrs	491 (C/T)	103	88	15		0	0		0,0%	0,0%				
+	rrs	512 (C/T)	103	88	15		0	0		0,0%	0,0%				
+	rrs	513 (A/C)	103	88	15		0	0		0,0%	0,0%				
+	rrs	513 (A/T)	103	88	15		0	0		0,0%	0,0%				
+	rrs	516 (C/T)	103	88	15		0	0		0,0%	0,0%				
+	rrs	906 (A/C)	103	88	15		0	0		0,0%	0,0%				
+	N/A	Other AR	103	88	15		11	0		12,5%	0,0%			"AR 11 isolates had 16 different other mutations, rrs 461 (C/T), rrs 627 (G/C), rrs 906 (A/T) and T40I (ACC/ATC). 1 isolate had 12 different mutations in both rrs (not defined which but located upstream or downstream of loop 530) and rpsL; T41S, K51N, V52G, G84V, R86W and V87L."	
+	N/A	None detected	103	88	15		45	15		51,1%	100,0%				
+															
+Sreevatsan et al, 1996	rpsL	K43R (AAG/AGG)	139	78	61		39	0		50,0%	0,0%	"Sequencing.
+Whole genes or rpsL and rrs"	"BACTEC 460 and proportion method.
+N.S."		
+Multiple countries	rpsL	K88R (AAG/AGG)	139	78	61		1	0		1,3%	0,0%				
+N.S	rpsL	K88Q (AAG/CAG)	139	78	61		2	0		2,6%	0,0%				
+	rrs	491 (C/T)	139	78	61		1	0		1,3%	0,0%				
+	rrs	512 (C/T)	139	78	61		1	0		1,3%	0,0%				
+	rrs	513 (A/C)	139	78	61		0	0		0,0%	0,0%				
+	rrs	513 (A/T)	139	78	61		1	0		1,3%	0,0%				
+	rrs	516 (C/T)	139	78	61		1	0		1,3%	0,0%				
+	rrs	906 (A/C)	139	78	61		1	0		1,3%	0,0%				
+	N/A	Other AS	139	78	61		5	0		6,4%	0,0%			AS 5 isolates had 5 different mutations rpsL R9H (CGC/CAC), rpsL V93M (GTG/ATG), rrs 798 (C/T), rrs 877 (G/A) and 904 (A/G). 1 isolate had both K43R and R9H mutations. 1 isolate had both rpsL K88R and V93M mutations. 1 isolate had both rpsL K43R and rrs 798 (C/T) mutations.	
+	N/A	None detected	139	78	61		29	61		37,2%	100,0%				
+															
+Gegia et al, 2008	rpsL	K43R (AAG/AGG)	98	63	35		38	0		60,3%	0,0%	"Sequencing.
+Whole gene rpsL, 530 and 912 loop of rrs"	"Absolute concentration method.
+15 MDR"		
+Georgia	rpsL	K88R (AAG/AGG)	98	63	35		1	0		1,6%	0,0%				
+2006	rpsL	K88Q (AAG/CAG)	98	63	35		0	0		0,0%	0,0%				
+	rrs	491 (C/T)	98	63	35		0	0		0,0%	0,0%				
+	rrs	512 (C/T)	98	63	35		8	0		12,7%	0,0%				
+	rrs	513 (A/C)	98	63	35		3	0		4,8%	0,0%				
+	rrs	513 (A/T)	98	63	35		0	0		0,0%	0,0%				
+	rrs	516 (C/T)	98	63	35		3	0		4,8%	0,0%				
+	rrs	906 (A/C)	98	63	35		0	0		0,0%	0,0%				
+	N/A	Other	98	63	35		0	0		0,0%	0,0%				
+	N/A	None detected	98	63	35		10	35		15,9%	100,0%				
+															
+Mukaigawa et al, 2005	rpsL	K43R (AAG/AGG)	98	63	35		38	0		60,3%	0,0%	"Sequencing.
+Whole gene rpsL, 530 and 912 loop of rrs"	"MGIT 960.
+27 SM, 23 MDR, 11 PDR"		
+Japan	rpsL	K88R (AAG/AGG)	98	63	35		1	0		1,6%	0,0%				
+2000-2003	rpsL	K88Q (AAG/CAG)	98	63	35		0	0		0,0%	0,0%				
+	rrs	491 (C/T)	98	63	35		0	0		0,0%	0,0%				
+	rrs	512 (C/T)	98	63	35		8	0		12,7%	0,0%				
+	rrs	513 (A/C)	98	63	35		3	0		4,8%	0,0%				
+	rrs	513 (A/T)	98	63	35		0	0		0,0%	0,0%				
+	rrs	516 (C/T)	98	63	35		3	0		4,8%	0,0%				
+	rrs	906 (A/C)	98	63	35		0	0		0,0%	0,0%				
+	N/A	Other	98	63	35		0	0		0,0%	0,0%				
+	N/A	None detected	98	63	35		10	35		15,9%	100,0%				
+															
+"Streptomycin
+Cont."			No. of isolates tested				No. of isolates with mutation 			Proportion of tested with mutation					
+Reference/ Country/ Time period	Gene	Mutation	Total	R	S		R	S		R	S	Molecular detection method/ Gene coverage	DST method/ Resistance pattern among R isolates	Comments	
+Peridgao et al, 2008	rpsL	K43R (AAG/AGG)	58	51	7		34	0		66,7%	0,0%	"Sequencing.
+Whole gene rpsL and rrs"	"MGIT 960.
+All isolates MDR"		
+Portugal	rpsL	K88R (AAG/AGG)	58	51	7		0	0		0,0%	0,0%				
+2003	rpsL	K88Q (AAG/CAG)	58	51	7		0	0		0,0%	0,0%				
+	rrs	491 (C/T)	58	51	7		0	0		0,0%	0,0%				
+	rrs	512 (C/T)	58	51	7		0	0		0,0%	0,0%				
+	rrs	513 (A/C)	58	51	7		0	0		0,0%	0,0%				
+	rrs	513 (A/T)	58	51	7		0	0		0,0%	0,0%				
+	rrs	516 (C/T)	58	51	7		0	0		0,0%	0,0%				
+	rrs	906 (A/C)	58	51	7		0	0		0,0%	0,0%				
+	N/A	Other	58	51	7		0	0		0,0%	0,0%				
+	N/A	None detected	58	51	7		17	7		33,3%	100,0%				
+															
+Dobner et al, 1997	rpsL	K43R (AAG/AGG)	63	50	13		15	0		30,0%	0,0%	"Sequencing.
+Hot spot in rpsL and 530 and 912 loop of rrs"	"Proportion method.
+About half of the isolates MDR"		
+Germany, Sierra Leone	rpsL	K88R (AAG/AGG)	63	50	13		2	0		4,0%	0,0%				
+1997	rpsL	K88Q (AAG/CAG)	63	50	13		1	0		2,0%	0,0%				
+	rrs	491 (C/T)	63	50	13		2	0		4,0%	0,0%				
+	rrs	512 (C/T)	63	50	13		0	0		0,0%	0,0%				
+	rrs	513 (A/C) AT	63	50	13		3	0		6,0%	0,0%			AT 1 isolate had both rpsL K43R and rrs 513 (A/C) mutations	
+	rrs	513 (A/T)	63	50	13		0	0		0,0%	0,0%				
+	rrs	516 (C/T)	63	50	13		1	0		2,0%	0,0%				
+	rrs	906 (A/C)	63	50	13		0	0		0,0%	0,0%				
+	N/A	Other AU	63	50	13		2	0		4,0%	0,0%			AT 2 isolates had 2 different other mutations, rrs 905 (A/G) and rrs 906 (A/T). 1 isolate had both rpsL K88Q and rrs 905 (A/G) mutations	
+	N/A	None detected	63	50	13		26	13		52,0%	100,0%				
+															
+Das et al, 2009	rpsL	K43R (AAG/AGG)	69	49	20		27	0		55,1%	0,0%	"RFLP and sequencing.
+360 bp fragment of rpsL"	"Resistance ratio method and Absolute concentration method.
+N.S"		
+India	rpsL	K88R (AAG/AGG)	69	49	20		2	0		4,1%	0,0%				
+N.S.	rpsL	K88Q (AAG/CAG)	69	49	20		0	0		0,0%	0,0%				
+	rrs	491 (C/T)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	rrs	512 (C/T)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	rrs	513 (A/C)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	rrs	513 (A/T)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	rrs	516 (C/T)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	rrs	906 (A/C)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	N/A	Other	69	49	20		0	0		0,0%	0,0%				
+	N/A	None detected	69	49	20		20	20		40,8%	100,0%				
+															
+Fukuda et al, 1999	rpsL	K43R (AAG/AGG)	121	49	72		18	0		36,7%	0,0%	"RFLP and sequencing.
+360 bp fragment of rpsL"	"Broth Microdilution method.
+N.S."		
+Japan	rpsL	K88R (AAG/AGG)	121	49	72		4	0		8,2%	0,0%				
+1999	rpsL	K88Q (AAG/CAG)	121	49	72		1	0		2,0%	0,0%				
+	rrs	491 (C/T)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	rrs	512 (C/T)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	rrs	513 (A/C)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	rrs	513 (A/T)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	rrs	516 (C/T)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	rrs	906 (A/C)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	N/A	Other	121	49	72		0	0		0,0%	0,0%				
+	N/A	None detected	121	49	72		26	72		53,1%	100,0%				
+															
+Spies et al, 2008	rpsL	K43R (AAG/AGG)	79	47	32		19	0		40,4%	0,0%	"Sequencing. 
+306bp fragment of rpsL and 530 and 912 loop of rrs, 675bp fragment of gidB."	"Absolute concentration method.
+9 SM, 27 MDR, 11 PDR "		
+Brazil	rpsL	K88R (AAG/AGG)	79	47	32		0	0		0,0%	0,0%				
+N.S.	rpsL	K88Q (AAG/CAG)	79	47	32		4	0		8,5%	0,0%				
+	rrs	491 (C/T)	79	47	32		4	0		8,5%	0,0%				
+	rrs	512 (C/T)	79	47	32		0	0		0,0%	0,0%				
+	rrs	513 (A/C)	79	47	32		1	0		2,1%	0,0%				
+	rrs	513 (A/T)	79	47	32		3	0		6,4%	0,0%				
+	rrs	516 (C/T)	79	47	32		3	0		6,4%	0,0%				
+	rrs	906 (A/C)	79	47	32		0	0		0,0%	0,0%				
+	N/A	Other	79	47	32		27	28		57,4%	87,5%				
+	N/A	None detected	79	47	32		5	4		10,6%	12,5%				
+															
+Liang J et al, 2004	rpsL	K43R (AAG/AGG)	52	43	9		33	0		76,7%	0,0%	"PCR-SSCP, chip hybridization, and Sequencing. 
+Hot spot in rpsL and 530 and 912 loop of rrs"	"N.S.
+All PDR or MDR"		
+China	rpsL	K88R (AAG/AGG)	52	43	9		0	0		0,0%	0,0%				
+N.S.	rpsL	K88Q (AAG/CAG)	52	43	9		0	0		0,0%	0,0%				
+	rrs	491 (C/T)	52	43	9		0	0		0,0%	0,0%				
+	rrs	512 (C/T)	52	43	9		0	0		0,0%	0,0%				
+	rrs	513 (A/C)	52	43	9		5	0		11,6%	0,0%				
+	rrs	513 (A/T)	52	43	9		1	0		2,3%	0,0%				
+	rrs	516 (C/T)	52	43	9		0	0		0,0%	0,0%				
+	rrs	906 (A/C)	52	43	9		0	0		0,0%	0,0%				
+	N/A	Other	52	43	9		0	0		0,0%	0,0%				
+	N/A	None detected	52	43	9		4	9		9,3%	100,0%				
+															
+Wu et al, 1999	rpsL	K43R (AAG/AGG)	57	40	17		29	3		72,5%	17,6%	"PCR-SSCP and Sequencing.
+Hot spot in rpsL and 530 loop of rrs"	"Absolute concentration method.
+Both monoresistant, PDR and MDR isolates"		
+China	rpsL	K88R (AAG/AGG)	57	40	17		0	0		0,0%	0,0%				
+N.S.	rpsL	K88Q (AAG/CAG)	57	40	17		0	0		0,0%	0,0%				
+	rrs	491 (C/T)	57	40	17		0	0		0,0%	0,0%				
+	rrs	512 (C/T)	57	40	17		0	0		0,0%	0,0%				
+	rrs	513 (A/C) AV	57	40	17		3	0		7,5%	0,0%			AV 1 isolate had both rpsL K43R and rrs 513 (A/C) mutations	
+	rrs	513 (A/T)	57	40	17		0	0		0,0%	0,0%				
+	rrs	516 (C/T)	57	40	17		0	0		0,0%	0,0%				
+	rrs	906 (A/C)	57	40	17		0	0		0,0%	0,0%				
+	N/A	Other AW	57	40	17		1	0		2,5%	0,0%			AW V33I (GTA/ATA). 1 isolate had both rrs 513 (A/C) and rpsL V33I mutations.	
+	N/A	None detected	57	40	17		9	14		22,5%	82,4%				
+															
+Katsukawa et al, 1997	rpsL	K43R (AAG/AGG)	46	36	10		10	0		27,8%	0,0%	"Sequencing.
+Hot spot in rpsL and 530 and 912 loop of rrs"	"Absolute concentration method.
+N.S"		
+Japan	rpsL	K88R (AAG/AGG)	46	36	10		4	0		11,1%	0,0%				
+1992-1994	rpsL	K88Q (AAG/CAG)	46	36	10		0	0		0,0%	0,0%				
+	rrs	491 (C/T)	46	36	10		0	0		0,0%	0,0%				
+	rrs	512 (C/T)	46	36	10		0	0		0,0%	0,0%				
+	rrs	513 (A/C)	46	36	10		8	0		22,2%	0,0%				
+	rrs	513 (A/T)	46	36	10		1	0		2,8%	0,0%				
+	rrs	516 (C/T)	46	36	10		0	0		0,0%	0,0%				
+	rrs	906 (A/C)	46	36	10		1	0		2,8%	0,0%				
+	N/A	Other AX	46	36	10		4	0		11,1%	0,0%			AX 4 isolates had 4 different other mutations, rpsL K88M (AAG/ATG), rpsL K88T (AAG/ATG), rrs 907 (A/G), 907-908 insT.	
+	N/A	None detected	46	36	10		8	10		22,2%	100,0%				
+															
+Ethambutol			No. of isolates tested				No. of isolates with mutation 			Proportion of tested with mutation					
+Reference/ Country/ Time period	Gene	Mutation	Total	R	S		R	S		R	S	Molecular detection method/ Gene coverage	DST method/ Resistance pattern among R isolates	Comments	
+Sugawara et al, 2005	embB	M306I (ATG/ATA)	171	133	38		7	0		5,3%	0,0%	"Sequencing.
+206 bp of embB"	"Proportion method.
+Only information about EMB "		
+China	embB	M306I (ATG/ATC)	171	133	38		2	0		1,5%	0,0%				
+1996	embB	M306I (ATG/ATT)	171	133	38		5	0		3,8%	0,0%				
+	embB	M306L (ATG/CTG)	171	133	38		3	0		2,3%	0,0%				
+	embB	M306V (ATG/GTG)	171	133	38		43	0		32,3%	0,0%				
+	embB	G406D  (GGC/GAC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	embB	G406S (GGC/AGC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	embB	Q497R (CAG/CGG)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	N/A	Other AY	171	133	38		3	0		2,3%	0,0%			AY 3 isolates had 3 different other mutations, Y319C (TAT/TGT), Y319C (TAT/GAT) and Y333H (TAT/CAT).	
+	N/A	None detected	171	133	38		70	38		52,6%	100,0%				
+															
+Parsons et al, 2005	embB	M306I (ATG/ATA) AZ1	157	128	29		16	0		12,5%	0,0%	"Sequencing.
+Region with codon 306 and 406"	"BACTEC 460 method.
+Both monoresistant, PDR and MDR isolates"	AZ1 The nucleotide change was not specified for M306I mutations. M306I 2 isolates was heteroresistant population with both M306I, M306L and wild-type sequence.	
+USA	embB	M306I (ATG/ATC)  	157	128	29			0		0,0%	0,0%				
+1998-2004	embB	M306I (ATG/ATT)	157	128	29			0		0,0%	0,0%				
+	embB	M306L (ATG/CTG)	157	128	29		0	0		0,0%	0,0%				
+	embB	M306V (ATG/GTG) AZ2	157	128	29		53	0		41,4%	0,0%			AZ2 4 isolates was heteroresistant population with both M306V and wild-type sequence. In addition 2 isolates was heteroresistant population with both M306I, M306L and wild-type sequence.	
+	embB	G406D  (GGC/GAC)	157	128	29		3	0		2,3%	0,0%				
+	embB	G406S (GGC/AGC)	157	128	29		1	0		0,8%	0,0%				
+	embB	Q497R (CAG/CGG)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	N/A	Other	157	128	29		1	0		0,8%	0,0%				
+	N/A	None detected	157	128	29		56	29		43,8%	100,0%				
+															
+Chan et al, 2007	embB	M306I (ATG/ATA)	250	118	132		20	2		16,9%	1,5%	"PCR-SSCP/MPAC and sequencing.
+399 bp fragment"	"Absolute concentration method.
+N.S."		
+HongKong	embB	M306I (ATG/ATC)	250	118	132		7	0		5,9%	0,0%				
+1994-2004	embB	M306I (ATG/ATT)	250	118	132		0	3		0,0%	2,3%				
+	embB	M306L (ATG/CTG)	250	118	132		2	0		1,7%	0,0%				
+	embB	M306V (ATG/GTG)	250	118	132		64	3		54,2%	2,3%				
+	embB	G406D  (GGC/GAC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	embB	G406S (GGC/AGC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	embB	Q497R (CAG/CGG)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	N/A	Other AZ	250	118	132		4	0		3,4%	0,0%			AZ 4 isolates had 2 different other mutations, Y334H (TAC/CAC) and Y319N (TAT/AAT).	
+	N/A	None detected	250	118	132		21	124		17,8%	93,9%				
+															
+Hazbón et al, 2005	embB	M306I (ATG/ATA)	1019	107	912		17	25		15,9%	2,7%	"Molecular beacon assay and sequencing.
+129 bp fragment"	"BACTEC 460, MGIT 960 and absolute concentration method.
+1 E, 94 MDR,  12 PDR"		
+Multiple	embB	M306I (ATG/ATC)	1019	107	912		5	7		4,7%	0,8%				
+2005	embB	M306I (ATG/ATT)	1019	107	912		4	1		3,7%	0,1%				
+	embB	M306L (ATG/CTG)	1019	107	912		5	1		4,7%	0,1%				
+	embB	M306V (ATG/GTG)	1019	107	912		22	13		20,6%	1,4%				
+	embB	G406D  (GGC/GAC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	embB	G406S (GGC/AGC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	embB	Q497R (CAG/CGG)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	N/A	Other BA	1019	107	912		1	0		0,9%	0,0%			BA M306L (ATG/TTG)	
+	N/A	None detected	1019	107	912		53	865		49,5%	94,8%				
+															
+Plinke et al, 2006	embB	M306I (ATG/ATA)	159	101	58		17	0		16,8%	0,0%	"Sequencing.
+nt 764-1107"	"Proportional method and BACTEC 460 .
+1 E, 73 MDR, 27 PDR"		
+Germany	embB	M306I (ATG/ATC)	159	101	58		5	0		5,0%	0,0%				
+2001	embB	M306I (ATG/ATT)	159	101	58		4	0		4,0%	0,0%				
+	embB	M306L (ATG/CTG)	159	101	58		0	0		0,0%	0,0%				
+	embB	M306V (ATG/GTG)	159	101	58		42	0		41,6%	0,0%				
+	embB	G406D  (GGC/GAC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	embB	G406S (GGC/AGC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	embB	Q497R (CAG/CGG)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	N/A	Other BB1	159	101	58		7	0		6,9%	0,0%			BB1 7 isoaltes had 5 different other mutations, 1 with S297L (TCG/TTG), 1 Y319S (TAT/TCT), 3 D328V (GAT/GTG), 1 W332L (TGG/CTG) and 1 Y334H (TAC/CAC)	
+	N/A	None detected	159	101	58		26	58		25,7%	100,0%				
+															
+"Ethambutol
+Cont."			No. of isolates tested				No. of isolates with mutation 			Proportion of tested with mutation					
+Reference/ Country/ Time period	Gene	Mutation	Total	R	S		R	S		R	S	Molecular detection method/ Gene coverage	DST method/ Resistance pattern among R isolates	Comments	
+Wu et al, 2005	embB	M306I (ATG/ATA)	197	90	107		15	2		16,7%	1,9%	"PCR-SSCP and sequencing.
+Region around codon 306"	"Absolute concentration method.
+3 E, 46 MDR, 41 PDR"		
+China	embB	M306I (ATG/ATC)	197	90	107		3	1		3,3%	0,9%				
+2005	embB	M306I (ATG/ATT)	197	90	107		1	2		1,1%	1,9%				
+	embB	M306L (ATG/CTG)	197	90	107		1	0		1,1%	0,0%				
+	embB	M306V (ATG/GTG)	197	90	107		36	9		40,0%	8,4%				
+	embB	G406D  (GGC/GAC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	embB	G406S (GGC/AGC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	embB	Q497R (CAG/CGG)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	N/A	Other	197	90	107		0	0		0,0%	0,0%				
+	N/A	None detected	197	90	107		34	93		37,8%	86,9%				
+															
+Zhang et al, 2006	embB	M306I (ATG/ATA)	120	85	35		15	0		17,6%	0,0%	"Oligobased hybridization assay, PCR-SSCP and DNA sequencing.
+N.S."	"N.S.
+N.S."		
+China	embB	M306I (ATG/ATC)	120	85	35		7	0		8,2%	0,0%				
+N.S	embB	M306I (ATG/ATT)	120	85	35		2	0		2,4%	0,0%				
+	embB	M306L (ATG/CTG)	120	85	35		1	0		1,2%	0,0%				
+	embB	M306V (ATG/GTG)	120	85	35		25	0		29,4%	0,0%				
+	embB	G406D  (GGC/GAC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	embB	G406S (GGC/AGC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	embB	Q497R (CAG/CGG)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	N/A	Other	120	85	35		0	0		0,0%	0,0%				
+	N/A	none	120	85	35		35	35		41,2%	100,0%				
+															
+Ramaswamy et al, 2000	embB	M306I (ATG/ATA) BB2	108	75	33		11	0		14,7%	0,0%	"Sequencing.
+Whole gene"	"BACTEC 460, Agar diffusion method.
+N.S."	BB2 The nucleotide change was not specified for M306I mutations.	
+USA, Russia	embB	M306I (ATG/ATC)	108	75	33			0		0,0%	0,0%				
+2000	embB	M306I (ATG/ATT)	108	75	33			0		0,0%	0,0%				
+	embB	M306L (ATG/CTG)	108	75	33		1	0		1,3%	0,0%				
+	embB	M306V (ATG/GTG)	108	75	33		7	0		9,3%	0,0%				
+	embB	G406D  (GGC/GAC)	108	75	33		2	0		2,7%	0,0%				
+	embB	G406S (GGC/AGC)	108	75	33		1	0		1,3%	0,0%				
+	embB	Q497R (CAG/CGG)	108	75	33		4	0		5,3%	0,0%				
+	N/A	Other	108	75	33		58	4		77,3%	12,1%				
+	N/A	None detected	108	75	33		18	29		24,0%	87,9%				
+															
+Wu et al, 2002	embB	M306I (ATG/ATA)	107	69	38		7	0		10,1%	0,0%	"PCR-SSCP, PCR-RFLP, Sequencing.
+Codon 237-324"	"Proportion method.
+N.S."		
+China	embB	M306I (ATG/ATC)	107	69	38		0	0		0,0%	0,0%				
+N.S	embB	M306I (ATG/ATT)	107	69	38		1	0		1,4%	0,0%				
+	embB	M306L (ATG/CTG)	107	69	38		1	0		1,4%	0,0%				
+	embB	M306V (ATG/GTG)	107	69	38		16	0		23,2%	0,0%				
+	embB	G406D  (GGC/GAC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	embB	G406S (GGC/AGC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	embB	Q497R (CAG/CGG)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	N/A	Other BC	107	69	38		1	0		1,4%	0,0%			BC 1 isolate had both M306V and R274P (CGC/CCC) mutations	
+	N/A	None	107	69	38		43	38		62,3%	100,0%				
+															
+Peridgao et al, 2009	embB	M306I (ATG/ATA)	109	60	49		0	0		0,0%	0,0%	"Sequencing.
+Region around codons 306 , 406 and 497 of embB"	"MGIT 960 and BACTEC 460.
+2 E, 57 MDR, 1 PDR "		
+Portugal	embB	M306I (ATG/ATC)	109	60	49		0	0		0,0%	0,0%				
+2003-2004	embB	M306I (ATG/ATT)	109	60	49		0	0		0,0%	0,0%				
+	embB	M306L (ATG/CTG)	109	60	49		1	0		1,7%	0,0%				
+	embB	M306V (ATG/GTG)	109	60	49		32	8		53,3%	16,3%				
+	embB	G406D  (GGC/GAC)	109	60	49		0	0		0,0%	0,0%				
+	embB	G406S (GGC/AGC)	109	60	49		0	0		0,0%	0,0%				
+	embB	Q497R (CAG/CGG)	109	60	49		0	0		0,0%	0,0%				
+	N/A	Other BD	109	60	49		1	0		1,7%	0,0%			BD G497K (CAG/AAG)	
+	N/A	None detected	109	60	49		26	41		43,3%	83,7%				
+															
+Hillemann et al, 2009	embB	M306I (ATG/ATA)	106	52	54		8	0		15,4%	0,0%	"Sequencing.
+Region around codons 306 , 406 and 497 of embB"	"MGIT 960. 
+All MDR"		
+Germany	embB	M306I (ATG/ATC)	106	52	54		1	0		1,9%	0,0%				
+N.S.	embB	M306I (ATG/ATT)	106	52	54		1	0		1,9%	0,0%				
+	embB	M306L (ATG/CTG)	106	52	54		0	0		0,0%	0,0%				
+	embB	M306V (ATG/GTG)	106	52	54		26	0		50,0%	0,0%				
+	embB	G406D  (GGC/GAC)	106	52	54		0	0		0,0%	0,0%				
+	embB	G406S (GGC/AGC)	106	52	54		0	0		0,0%	0,0%				
+	embB	Q497R (CAG/CGG)	106	52	54		0	0		0,0%	0,0%				
+	N/A	Other BD	106	52	54		0	0		0,0%	0,0%			BD G497K (CAG/AAG)	
+	N/A	None detected	106	52	54		16	54		30,8%	100,0%				
+															
+Ahmad et al, 2007	embB	M306I (ATG/ATA)	197	50	147		4	0		8,0%	0,0%	"PCR-RFLP and sequencing.
+Region around codons 306 , 406 and 497 of embB"	"BACTEC 460.
+9 E, 11 MDR, 30 PDR "		
+Kuwait	embB	M306I (ATG/ATC)	197	50	147		0	0		0,0%	0,0%				
+2000-2003	embB	M306I (ATG/ATT)	197	50	147		0	0		0,0%	0,0%				
+	embB	M306L (ATG/CTG)	197	50	147		1	0		2,0%	0,0%				
+	embB	M306V (ATG/GTG)	197	50	147		10	3		20,0%	2,0%				
+	embB	G406D  (GGC/GAC)	75	50	25		0	0		0,0%	0,0%				
+	embB	G406S (GGC/AGC)	75	50	25		2	0		4,0%	0,0%				
+	embB	Q497R (CAG/CGG)	75	50	25		2	0		4,0%	0,0%				
+	N/A	Other BD	197	50	147		1	0		2,0%	N/A			BD G497K (CAG/AAG)	
+	N/A	None detected	197	50	147		35	144		70,0%	98,0%				
+															
+Plinke et al, 2009	embB	M306I (ATG/ATA)	197	49	148		11	0		22,4%	0,0%	"Squencing.
+334bp region around codon 306 of embB"	"Proportion method and MGIT 960.
+50 MDR"		
+Uzbekistan	embB	M306I (ATG/ATC)	197	49	148		7	0		14,3%	0,0%				
+2001-2002	embB	M306I (ATG/ATT)	197	49	148		0	0		0,0%	0,0%				
+	embB	M306L (ATG/CTG)	197	49	148		1	0		2,0%	0,0%				
+	embB	M306V (ATG/GTG)	197	49	148		20	0		40,8%	0,0%				
+	embB	G406D  (GGC/GAC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	embB	G406S (GGC/AGC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	embB	Q497R (CAG/CGG)	N/A	N/A	N/A		N/A	N/A		N/A	N/A				
+	N/A	Other	197	49	148		0	0		0,0%	N/A				
+	N/A	None detected	197	49	148		0	148		0,0%	100,0%				
+															
+Pyrazinamide			No. of isolates tested				No. of isolates with mutation 			Proportion of tested with mutation					
+Reference/ Country/ Time period	Gene	Mutation	Total	R	S		R	S		R	S	Molecular detection method/ Gene coverage	DST method/ Resistance pattern among R isolates	Comments	
+Sheen et al, 2009	pncA	-11 (A/G)	163	109	54		0	0		0,0%	0,0%	"PCR-SSCP and sequencing.
+Whole gene"	"BACTEC 460.
+93 MDR, 16 PDR"		
+Peru	pncA	V7G (GTC/GGC)	163	109	54		0	0		0,0%	0,0%				
+N.S.	pncA	Q10P (CAG/CCG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	D12A (GAC/GCC)	163	109	54		1	0		0,9%	0,0%				
+	pncA	C14R (TGC/CGC)	163	109	54		0	0		0,0%	0,0%				
+	pncA	G17D (GGC/GAC)	163	109	54		0	0		0,0%	0,0%				
+	pncA	L19P (CTG/CCG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	V21G (GTA/GGA)	163	109	54		0	0		0,0%	0,0%				
+	pncA	nt 70 del G	163	109	54		0	0		0,0%	0,0%				
+	pncA	nt 71 del G	163	109	54		0	0		0,0%	0,0%				
+	pncA	nt 76 ins GC	163	109	54		0	0		0,0%	0,0%				
+	pncA	Y34S (TAC/TCC)	163	109	54		0	0		0,0%	0,0%				
+	pncA	L35R (CTG/CGG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	Y41STOP (TAC/TAG)	163	109	54		2	0		1,8%	0,0%				
+	pncA	nt 130 ins GG	163	109	54		0	0		0,0%	0,0%				
+	pncA	A46V (GCA/GTA)	163	109	54		0	0		0,0%	0,0%				
+	pncA	T47A (ACC/GCC)	163	109	54		0	0		0,0%	0,0%				
+	pncA	H51R (CAC/CGC)	163	109	54		13	0		11,9%	0,0%				
+	pncA	H51P (CAC/CCC)	163	109	54		0	0		0,0%	0,0%				
+	pncA	P54T (CCG/ACG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	H57Y (CAC/TAC)	163	109	54		0	0		0,0%	0,0%				
+	pncA	nt 172 del T	163	109	54		0	0		0,0%	0,0%				
+	pncA	nt 182 ins 5bp	163	109	54		0	0		0,0%	0,0%				
+	pncA	D63G (GAC/GGC)	163	109	54		0	0		0,0%	0,0%				
+	pncA	S66P (TCG/CCG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	S67P (TCG/CCG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	W68R (TGG/CGG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	W68L (TGG/TTG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	W68G (TGG/GGG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	H71R (CAT/CGT)	163	109	54		0	0		0,0%	0,0%				
+	pncA	C72R (TGC/CGC)	163	109	54		0	0		0,0%	0,0%				
+	pncA	T76P (ACT/CCT)	163	109	54		1	0		0,9%	0,0%				
+	pncA	H82R (CAT/CGT)	163	109	54		0	0		0,0%	0,0%				
+	pncA	L85P (CTG/CCG)	163	109	54		2	0		1,8%	0,0%				
+	pncA	K96N (AAG/AAT)	163	109	54		0	0		0,0%	0,0%				
+	pncA	G97S (GGT/AGT)	163	109	54		0	0		0,0%	0,0%				
+	pncA	Y99STOP (TAC/TAG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	A102V (GCG/GTG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	Y103STOP (TAC/TAG)	163	109	54		8	0		7,3%	0,0%				
+	pncA	S104R (AGC/AGG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	nt 315 ins G	163	109	54		0	0		0,0%	0,0%				
+	pncA	T114P (ACG/CCG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	L116R (CTG/CGG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	R121P (CGG/CCG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	V128G (GTC/GGC)	163	109	54		0	0		0,0%	0,0%				
+	pncA	nt 388 ins AGGTCGATG	163	109	54		0	0		0,0%	0,0%				
+	pncA	nt 389 ins GG	163	109	54		0	0		0,0%	0,0%				
+	pncA	V130G (GTG/GGG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	A134V (GCC/GTC)	163	109	54		0	0		0,0%	0,0%				
+	pncA	H137R (CAT/CGT)	163	109	54		0	0		0,0%	0,0%				
+	pncA	C138Y (TGT/TAT)	163	109	54		0	0		0,0%	0,0%				
+	pncA	V139M (GTG/ATG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	V139L (GTG/CTG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	V139A (GTG/GCG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	R140S (CGC/AGC)	163	109	54		0	0		0,0%	0,0%				
+	pncA	Q141P (CAG/CCG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	T142K (ACG/AAG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	nt 446 del 8bp	163	109	54		0	0		0,0%	0,0%				
+	pncA	V155G (GTG/GGG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	L159P (GTC/CCG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	T160P (ACA/CCA)	163	109	54		0	0		0,0%	0,0%				
+	pncA	A161P (GCG/CCG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	G162D (GGT/GAT)	163	109	54		0	0		0,0%	0,0%				
+	pncA	A171E (GCG/GAG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	L172P (CTG/CCG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	S185T (AGC/ACC)	163	109	54		0	0		0,0%	0,0%				
+	N/A	Other	163	109	54		74	2		67,9%	3,7%				
+	N/A	None detected	163	109	54		7	53		6,4%	98,1%				
+															
+Pyrazinamide			No. of isolates tested				No. of isolates with mutation 			Proportion of tested with mutation					
+Reference/ Country/ Time period	Gene	Mutation	Total	R	S		R	S		R	S	Molecular detection method/ Gene coverage	DST method/ Resistance pattern among R isolates	Comments	
+Chan et al, 2007	pncA	-11 (A/G)	250	89	161		0	0		0,0%	0,0%	"PCR-SSCP and sequencing.
+Whole gene"	"MGIT 960.
+89MDR, 2 PDR"		
+Hong Kong	pncA	V7G (GTC/GGC)	250	89	161		0	2		0,0%	1,2%				
+1994-2004	pncA	Q10P (CAG/CCG)	250	89	161		0	6		0,0%	3,7%				
+	pncA	D12A (GAC/GCC)	250	89	161		0	0		0,0%	0,0%				
+	pncA	C14R (TGC/CGC)	250	89	161		0	0		0,0%	0,0%				
+	pncA	G17D (GGC/GAC)	250	89	161		0	0		0,0%	0,0%				
+	pncA	L19P (CTG/CCG)	250	89	161		1	0		1,1%	0,0%				
+	pncA	V21G (GTA/GGA)	250	89	161		1	0		1,1%	0,0%				
+	pncA	nt 70 del G	250	89	161		0	0		0,0%	0,0%				
+	pncA	nt 71 del G	250	89	161		0	0		0,0%	0,0%				
+	pncA	nt 76 ins GC	250	89	161		0	0		0,0%	0,0%				
+	pncA	Y34S (TAC/TCC)	250	89	161		0	0		0,0%	0,0%				
+	pncA	L35R (CTG/CGG)	250	89	161		0	0		0,0%	0,0%				
+	pncA	Y41STOP (TAC/TAG)	250	89	161		0	0		0,0%	0,0%				
+	pncA	nt 130 ins GG	250	89	161		0	0		0,0%	0,0%				
+	pncA	A46V (GCA/GTA)	250	89	161		0	0		0,0%	0,0%				
+	pncA	T47A (ACC/GCC)	250	89	161		0	0		0,0%	0,0%				
+	pncA	H51R (CAC/CGC)	250	89	161		0	0		0,0%	0,0%				
+	pncA	H51P (CAC/CCC)	250	89	161		0	0		0,0%	0,0%				
+	pncA	P54T (CCG/ACG)	250	89	161		0	0		0,0%	0,0%				
+	pncA	H57Y (CAC/TAC)	250	89	161		1	0		1,1%	0,0%				
+	pncA	nt 172 del T	250	89	161		0	0		0,0%	0,0%				
+	pncA	nt 182 ins 5bp	250	89	161		0	0		0,0%	0,0%				
+	pncA	D63G (GAC/GGC)	250	89	161		3	0		3,4%	0,0%				
+	pncA	S66P (TCG/CCG)	250	89	161		1	0		1,1%	0,0%				
+	pncA	S67P (TCG/CCG)	250	89	161		0	0		0,0%	0,0%				
+	pncA	W68R (TGG/CGG)	250	89	161		1	0		1,1%	0,0%				
+	pncA	W68L (TGG/TTG)	250	89	161		23	0		25,8%	0,0%				
+	pncA	W68G (TGG/GGG)	250	89	161		0	0		0,0%	0,0%				
+	pncA	H71R (CAT/CGT)	250	89	161		0	0		0,0%	0,0%				
+	pncA	C72R (TGC/CGC)	250	89	161		0	0		0,0%	0,0%				
+	pncA	T76P (ACT/CCT)	250	89	161		2	0		2,2%	0,0%				
+	pncA	H82R (CAT/CGT)	250	89	161		0	0		0,0%	0,0%				
+	pncA	L85P (CTG/CCG)	250	89	161		0	0		0,0%	0,0%				
+	pncA	K96N (AAG/AAT)	250	89	161		0	0		0,0%	0,0%				
+	pncA	G97S (GGT/AGT)	250	89	161		0	0		0,0%	0,0%				
+	pncA	Y99STOP (TAC/TAG)	250	89	161		0	0		0,0%	0,0%				
+	pncA	A102V (GCG/GTG)	250	89	161		0	0		0,0%	0,0%				
+	pncA	Y103STOP (TAC/TAG)	250	89	161		0	0		0,0%	0,0%				
+	pncA	S104R (AGC/AGG)	250	89	161		0	0		0,0%	0,0%				
+	pncA	nt 315 ins G	250	89	161		0	0		0,0%	0,0%				
+	pncA	T114P (ACG/CCG)	250	89	161		0	0		0,0%	0,0%				
+	pncA	L116R (CTG/CGG)	250	89	161		3	0		3,4%	0,0%				
+	pncA	R121P (CGG/CCG)	250	89	161		0	0		0,0%	0,0%				
+	pncA	V128G (GTC/GGC)	250	89	161		0	0		0,0%	0,0%				
+	pncA	nt 388 ins AGGTCGATG	250	89	161		0	0		0,0%	0,0%				
+	pncA	nt 389 ins GG	250	89	161		0	0		0,0%	0,0%				
+	pncA	V130G (GTG/GGG)	250	89	161		0	0		0,0%	0,0%				
+	pncA	A134V (GCC/GTC)	250	89	161		0	0		0,0%	0,0%				
+	pncA	H137R (CAT/CGT)	250	89	161		0	0		0,0%	0,0%				
+	pncA	C138Y (TGT/TAT)	250	89	161		1	0		1,1%	0,0%				
+	pncA	V139M (GTG/ATG)	250	89	161		0	0		0,0%	0,0%				
+	pncA	V139L (GTG/CTG)	250	89	161		0	0		0,0%	0,0%				
+	pncA	V139A (GTG/GCG)	250	89	161		0	0		0,0%	0,0%				
+	pncA	R140S (CGC/AGC)	250	89	161		0	0		0,0%	0,0%				
+	pncA	Q141P (CAG/CCG)	250	89	161		0	0		0,0%	0,0%				
+	pncA	T142K (ACG/AAG)	250	89	161		0	0		0,0%	0,0%				
+	pncA	nt 446 del 8bp	250	89	161		0	0		0,0%	0,0%				
+	pncA	V155G (GTG/GGG)	250	89	161		0	0		0,0%	0,0%				
+	pncA	L159P (GTC/CCG)	250	89	161		0	0		0,0%	0,0%				
+	pncA	T160P (ACA/CCA)	250	89	161		0	0		0,0%	0,0%				
+	pncA	A161P (GCG/CCG)	250	89	161		0	0		0,0%	0,0%				
+	pncA	G162D (GGT/GAT)	250	89	161		9	0		10,1%	0,0%				
+	pncA	A171E (GCG/GAG)	250	89	161		0	0		0,0%	0,0%				
+	pncA	L172P (CTG/CCG)	250	89	161		0	0		0,0%	0,0%				
+	pncA	S185T (AGC/ACC)	250	89	161		0	0		0,0%	0,0%			1 isolate had both H57Y and S185T, 1 isolate had both Y103STOP and S185T mutations	
+	N/A	Other	250	89	161		20	14		22,5%	8,7%			20 isolates had 20 different other mutations. 1 isolate had both V21G and 64 del A, 1 isolate had both W68L and nt 46 del G, 1 isolate had both L19P and nt 46 del G, 1 isolate had both P62L (CCG/CTG) and S185I (AGC/ATC), 1 isolate had both V9S (GTG/TCG) and K96T (AAG/ACG).	
+	N/A	None detected	250	89	161		26	144		29,2%	89,4%				
+															
+"Pyrazinamide
+Cont."			No. of isolates tested				No. of isolates with mutation 			Proportion of tested with mutation					
+Reference/ Country/ Time period	Gene	Mutation	Total	R	S		R	S		R	S	Molecular detection method/ Gene coverage	DST method/ Resistance pattern among R isolates	Comments	
+Somoskovi et al, 2007	pncA	-11 (A/G)	294	83	211		6	0		7,2%	0,0%	"Sequencing.
+Whole gene"	"BACTEC 460.
+Only information about Z"		
+N.S	pncA	V7G (GTC/GGC)	294	83	211		0	0		0,0%	0,0%				
+N.S.	pncA	Q10P (CAG/CCG)	294	83	211		2	0		2,4%	0,0%				
+	pncA	D12A (GAC/GCC)	294	83	211		0	0		0,0%	0,0%				
+	pncA	C14R (TGC/CGC)	294	83	211		2	0		2,4%	0,0%				
+	pncA	G17D (GGC/GAC)	294	83	211		0	0		0,0%	0,0%				
+	pncA	L19P (CTG/CCG)	294	83	211		0	0		0,0%	0,0%				
+	pncA	V21G (GTA/GGA)	294	83	211		1	0		1,2%	0,0%				
+	pncA	nt 70 del G	294	83	211		14	0		16,9%	0,0%				
+	pncA	nt 71 del G	294	83	211		0	0		0,0%	0,0%				
+	pncA	nt 76 ins GC	294	83	211		0	0		0,0%	0,0%				
+	pncA	Y34S (TAC/TCC)	294	83	211		0	0		0,0%	0,0%				
+	pncA	L35R (CTG/CGG)	294	83	211		1	0		1,2%	0,0%				
+	pncA	Y41STOP (TAC/TAG)	294	83	211		0	0		0,0%	0,0%				
+	pncA	nt 130 ins GG	294	83	211		1	0		1,2%	0,0%				
+	pncA	A46V (GCA/GTA)	294	83	211		1	0		1,2%	0,0%				
+	pncA	T47A (ACC/GCC)	294	83	211		0	42		0,0%	19,9%				
+	pncA	H51R (CAC/CGC)	294	83	211		1	0		1,2%	0,0%				
+	pncA	H51P (CAC/CCC)	294	83	211		0	0		0,0%	0,0%				
+	pncA	P54T (CCG/ACG)	294	83	211		0	0		0,0%	0,0%				
+	pncA	H57Y (CAC/TAC)	294	83	211		0	0		0,0%	0,0%				
+	pncA	nt 172 del T	294	83	211		0	0		0,0%	0,0%				
+	pncA	nt 182 ins 5bp	294	83	211		0	0		0,0%	0,0%				
+	pncA	D63G (GAC/GGC)	294	83	211		0	0		0,0%	0,0%				
+	pncA	S66P (TCG/CCG)	294	83	211		0	0		0,0%	0,0%				
+	pncA	S67P (TCG/CCG)	294	83	211		1	0		1,2%	0,0%				
+	pncA	W68R (TGG/CGG)	294	83	211		1	0		1,2%	0,0%				
+	pncA	W68L (TGG/TTG)	294	83	211		0	0		0,0%	0,0%				
+	pncA	W68G (TGG/GGG)	294	83	211		0	0		0,0%	0,0%				
+	pncA	H71R (CAT/CGT)	294	83	211		1	0		1,2%	0,0%				
+	pncA	C72R (TGC/CGC)	294	83	211		0	0		0,0%	0,0%				
+	pncA	T76P (ACT/CCT)	294	83	211		0	0		0,0%	0,0%				
+	pncA	H82R (CAT/CGT)	294	83	211		0	0		0,0%	0,0%				
+	pncA	L85P (CTG/CCG)	294	83	211		13	0		15,7%	0,0%				
+	pncA	K96N (AAG/AAT)	294	83	211		0	0		0,0%	0,0%				
+	pncA	G97S (GGT/AGT)	294	83	211		0	0		0,0%	0,0%				
+	pncA	Y99STOP (TAC/TAG)	294	83	211		0	0		0,0%	0,0%				
+	pncA	A102V (GCG/GTG)	294	83	211		0	0		0,0%	0,0%				
+	pncA	Y103STOP (TAC/TAG)	294	83	211		0	0		0,0%	0,0%				
+	pncA	S104R (AGC/AGG)	294	83	211		3	0		3,6%	0,0%				
+	pncA	nt 315 ins G	294	83	211		0	0		0,0%	0,0%				
+	pncA	T114P (ACG/CCG)	294	83	211		0	0		0,0%	0,0%				
+	pncA	L116R (CTG/CGG)	294	83	211		2	0		2,4%	0,0%				
+	pncA	R121P (CGG/CCG)	294	83	211		0	0		0,0%	0,0%				
+	pncA	V128G (GTC/GGC)	294	83	211		1	0		1,2%	0,0%				
+	pncA	nt 388 ins AGGTCGATG	294	83	211		0	0		0,0%	0,0%				
+	pncA	nt 389 ins GG	294	83	211		0	0		0,0%	0,0%				
+	pncA	V130G (GTG/GGG)	294	83	211		0	0		0,0%	0,0%				
+	pncA	A134V (GCC/GTC)	294	83	211		0	0		0,0%	0,0%				
+	pncA	H137R (CAT/CGT)	294	83	211		0	0		0,0%	0,0%				
+	pncA	C138Y (TGT/TAT)	294	83	211		1	0		1,2%	0,0%				
+	pncA	V139M (GTG/ATG)	294	83	211		0	0		0,0%	0,0%				
+	pncA	V139L (GTG/CTG)	294	83	211		1	0		1,2%	0,0%				
+	pncA	V139A (GTG/GCG)	294	83	211		1	0		1,2%	0,0%				
+	pncA	R140S (CGC/AGC)	294	83	211		0	0		0,0%	0,0%				
+	pncA	Q141P (CAG/CCG)	294	83	211		0	0		0,0%	0,0%				
+	pncA	T142K (ACG/AAG)	294	83	211		0	0		0,0%	0,0%				
+	pncA	nt 446 del 8bp	294	83	211		0	0		0,0%	0,0%				
+	pncA	V155G (GTG/GGG)	294	83	211		0	0		0,0%	0,0%				
+	pncA	L159P (GTC/CCG)	294	83	211		0	0		0,0%	0,0%				
+	pncA	T160P (ACA/CCA)	294	83	211		0	0		0,0%	0,0%				
+	pncA	A161P (GCG/CCG)	294	83	211		0	0		0,0%	0,0%				
+	pncA	G162D (GGT/GAT)	294	83	211		1	0		1,2%	0,0%				
+	pncA	A171E (GCG/GAG)	294	83	211		0	0		0,0%	0,0%				
+	pncA	L172P (CTG/CCG)	294	83	211		3	0		3,6%	0,0%				
+	pncA	S185T (AGC/ACC)	294	83	211		0	0		0,0%	0,0%				
+	N/A	Other	294	83	211		26	3		31,3%	1,4%				
+	N/A	None detected	294	83	211		0	166		0,0%	78,7%				
+															
+"Pyrazinamide
+Cont."			No. of isolates tested				No. of isolates with mutation 			Proportion of tested with mutation					
+Reference/ Country/ Time period	Gene	Mutation	Total	R	S		R	S		R	S	Molecular detection method/ Gene coverage	DST method/ Resistance pattern among R isolates	Comments	
+Louw et al, 2006	pncA	-11 (A/G)	115	68	46		0	0		0,0%	0,0%	"Sequencing.
+Whole gene"	"MGIT 960.
+1 Z, 61 MDR. 6 PDR"		
+South Africa	pncA	V7G (GTC/GGC)	115	68	46		0	0		0,0%	0,0%				
+2001-2002	pncA	Q10P (CAG/CCG)	115	68	46		0	0		0,0%	0,0%				
+	pncA	D12A (GAC/GCC)	115	68	46		0	0		0,0%	0,0%				
+	pncA	C14R (TGC/CGC)	115	68	46		0	0		0,0%	0,0%				
+	pncA	G17D (GGC/GAC)	115	68	46		0	0		0,0%	0,0%				
+	pncA	L19P (CTG/CCG)	115	68	46		0	0		0,0%	0,0%				
+	pncA	V21G (GTA/GGA)	115	68	46		0	0		0,0%	0,0%				
+	pncA	nt 70 del G	115	68	46		0	0		0,0%	0,0%				
+	pncA	nt 71 del G	115	68	46		0	0		0,0%	0,0%				
+	pncA	nt 76 ins GC	115	68	46		0	0		0,0%	0,0%				
+	pncA	Y34S (TAC/TCC)	115	68	46		0	0		0,0%	0,0%				
+	pncA	L35R (CTG/CGG)	115	68	46		1	0		1,5%	0,0%				
+	pncA	Y41STOP (TAC/TAG)	115	68	46		0	0		0,0%	0,0%				
+	pncA	nt 130 ins GG	115	68	46		0	0		0,0%	0,0%				
+	pncA	A46V (GCA/GTA)	115	68	46		0	0		0,0%	0,0%				
+	pncA	T47A (ACC/GCC)	115	68	46		0	0		0,0%	0,0%				
+	pncA	H51R (CAC/CGC)	115	68	46		0	0		0,0%	0,0%				
+	pncA	H51P (CAC/CCC)	115	68	46		0	0		0,0%	0,0%				
+	pncA	P54T (CCG/ACG)	115	68	46		0	0		0,0%	0,0%				
+	pncA	H57Y (CAC/TAC)	115	68	46		2	0		2,9%	0,0%				
+	pncA	nt 172 del T	115	68	46		12	0		17,6%	0,0%				
+	pncA	nt 182 ins 5bp	115	68	46		0	0		0,0%	0,0%				
+	pncA	D63G (GAC/GGC)	115	68	46		0	0		0,0%	0,0%				
+	pncA	S66P (TCG/CCG)	115	68	46		0	0		0,0%	0,0%				
+	pncA	S67P (TCG/CCG)	115	68	46		0	0		0,0%	0,0%				
+	pncA	W68R (TGG/CGG)	115	68	46		3	0		4,4%	0,0%				
+	pncA	W68L (TGG/TTG)	115	68	46		0	0		0,0%	0,0%				
+	pncA	W68G (TGG/GGG)	115	68	46		7	0		10,3%	0,0%				
+	pncA	H71R (CAT/CGT)	115	68	46		3	0		4,4%	0,0%				
+	pncA	C72R (TGC/CGC)	115	68	46		0	0		0,0%	0,0%				
+	pncA	T76P (ACT/CCT)	115	68	46		0	0		0,0%	0,0%				
+	pncA	H82R (CAT/CGT)	115	68	46		0	0		0,0%	0,0%				
+	pncA	L85P (CTG/CCG)	115	68	46		0	0		0,0%	0,0%				
+	pncA	K96N (AAG/AAT)	115	68	46		0	0		0,0%	0,0%				
+	pncA	G97S (GGT/AGT)	115	68	46		0	0		0,0%	0,0%				
+	pncA	Y99STOP (TAC/TAG)	115	68	46		0	0		0,0%	0,0%				
+	pncA	A102V (GCG/GTG)	115	68	46		0	0		0,0%	0,0%				
+	pncA	Y103STOP (TAC/TAG)	115	68	46		2	0		2,9%	0,0%				
+	pncA	S104R (AGC/AGG)	115	68	46		0	0		0,0%	0,0%				
+	pncA	nt 315 ins G	115	68	46		0	0		0,0%	0,0%				
+	pncA	T114P (ACG/CCG)	115	68	46		1	0		1,5%	0,0%				
+	pncA	L116R (CTG/CGG)	115	68	46		0	0		0,0%	0,0%				
+	pncA	R121P (CGG/CCG)	115	68	46		0	0		0,0%	0,0%				
+	pncA	V128G (GTC/GGC)	115	68	46		0	0		0,0%	0,0%				
+	pncA	nt 388 ins AGGTCGATG	115	68	46		0	0		0,0%	0,0%				
+	pncA	nt 389 ins GG	115	68	46		9	0		13,2%	0,0%				
+	pncA	V130G (GTG/GGG)	115	68	46		0	0		0,0%	0,0%				
+	pncA	A134V (GCC/GTC)	115	68	46		0	0		0,0%	0,0%				
+	pncA	H137R (CAT/CGT)	115	68	46		0	0		0,0%	0,0%				
+	pncA	C138Y (TGT/TAT)	115	68	46		0	0		0,0%	0,0%				
+	pncA	V139M (GTG/ATG)	115	68	46		2	0		2,9%	0,0%				
+	pncA	V139L (GTG/CTG)	115	68	46		0	0		0,0%	0,0%				
+	pncA	V139A (GTG/GCG)	115	68	46		0	0		0,0%	0,0%				
+	pncA	R140S (CGC/AGC)	115	68	46		0	0		0,0%	0,0%				
+	pncA	Q141P (CAG/CCG)	115	68	46		0	0		0,0%	0,0%				
+	pncA	T142K (ACG/AAG)	115	68	46		0	0		0,0%	0,0%				
+	pncA	nt 446 del 8bp	115	68	46		0	0		0,0%	0,0%				
+	pncA	V155G (GTG/GGG)	115	68	46		0	0		0,0%	0,0%				
+	pncA	L159P (GTC/CCG)	115	68	46		4	0		5,9%	0,0%				
+	pncA	T160P (ACA/CCA)	115	68	46		0	0		0,0%	0,0%				
+	pncA	A161P (GCG/CCG)	115	68	46		0	0		0,0%	0,0%				
+	pncA	G162D (GGT/GAT)	115	68	46		0	0		0,0%	0,0%				
+	pncA	A171E (GCG/GAG)	115	68	46		0	0		0,0%	0,0%				
+	pncA	L172P (CTG/CCG)	115	68	46		0	0		0,0%	0,0%				
+	pncA	S185T (AGC/ACC)	115	68	46		8	0		11,8%	0,0%			1 isolate had both H57Y and S185T, 1 isolate had both Y103STOP and S185T mutations	
+	N/A	Other	115	68	46		19	10		27,9%	21,7%			19 isolates had 15 different other mutations. 1 isolate had both T114P and S179R (AGC/CGC), 1 isolate had both S185T and G37STOP (GAA/TAA) mutations.	
+	N/A	None detected	115	68	46		6	36		8,8%	78,3%				
+															
+"Pyrazinamide
+Cont."			No. of isolates tested				No. of isolates with mutation 			Proportion of tested with mutation					
+Reference/ Country/ Time period	Gene	Mutation	Total	R	S		R	S		R	S	Molecular detection method/ Gene coverage	DST method/ Resistance pattern among R isolates	Comments	
+Sreevatsan et al, 1997	pncA	-11 (A/G)	118	67	51		2	0		3,0%	0,0%	"Sequencing.
+Whole gene"	"BACTEC  460 and proportion method.
+Only information about Z"		
+Multiple	pncA	V7G (GTC/GGC)	118	67	51		0	0		0,0%	0,0%				
+N.S.	pncA	Q10P (CAG/CCG)	118	67	51		0	0		0,0%	0,0%				
+	pncA	D12A (GAC/GCC)	118	67	51		0	0		0,0%	0,0%				
+	pncA	C14R (TGC/CGC)	118	67	51		0	0		0,0%	0,0%				
+	pncA	G17D (GGC/GAC)	118	67	51		0	0		0,0%	0,0%				
+	pncA	L19P (CTG/CCG)	118	67	51		1	0		1,5%	0,0%				
+	pncA	V21G (GTA/GGA)	118	67	51		0	0		0,0%	0,0%				
+	pncA	nt 70 del G	118	67	51		7	0		10,4%	0,0%				
+	pncA	nt 71 del G	118	67	51		0	0		0,0%	0,0%				
+	pncA	nt 76 ins GC	118	67	51		0	0		0,0%	0,0%				
+	pncA	Y34S (TAC/TCC)	118	67	51		0	0		0,0%	0,0%				
+	pncA	L35R (CTG/CGG)	118	67	51		0	0		0,0%	0,0%				
+	pncA	Y41STOP (TAC/TAG)	118	67	51		1	0		1,5%	0,0%				
+	pncA	nt 130 ins GG	118	67	51		0	0		0,0%	0,0%				
+	pncA	A46V (GCA/GTA)	118	67	51		0	0		0,0%	0,0%				
+	pncA	T47A (ACC/GCC)	118	67	51		11	0		16,4%	0,0%				
+	pncA	H51R (CAC/CGC)	118	67	51		0	0		0,0%	0,0%				
+	pncA	H51P (CAC/CCC)	118	67	51		0	0		0,0%	0,0%				
+	pncA	P54T (CCG/ACG)	118	67	51		1	0		1,5%	0,0%				
+	pncA	H57Y (CAC/TAC)	118	67	51		0	0		0,0%	0,0%				
+	pncA	nt 172 del T	118	67	51		0	0		0,0%	0,0%				
+	pncA	nt 182 ins 5bp	118	67	51		0	0		0,0%	0,0%				
+	pncA	D63G (GAC/GGC)	118	67	51		0	0		0,0%	0,0%				
+	pncA	S66P (TCG/CCG)	118	67	51		0	0		0,0%	0,0%				
+	pncA	S67P (TCG/CCG)	118	67	51		0	0		0,0%	0,0%				
+	pncA	W68R (TGG/CGG)	118	67	51		0	0		0,0%	0,0%				
+	pncA	W68L (TGG/TTG)	118	67	51		1	0		1,5%	0,0%				
+	pncA	W68G (TGG/GGG)	118	67	51		0	0		0,0%	0,0%				
+	pncA	H71R (CAT/CGT)	118	67	51		0	0		0,0%	0,0%				
+	pncA	C72R (TGC/CGC)	118	67	51		0	0		0,0%	0,0%				
+	pncA	T76P (ACT/CCT)	118	67	51		1	0		1,5%	0,0%				
+	pncA	H82R (CAT/CGT)	118	67	51		0	0		0,0%	0,0%				
+	pncA	L85P (CTG/CCG)	118	67	51		8	0		11,9%	0,0%				
+	pncA	K96N (AAG/AAT)	118	67	51		0	0		0,0%	0,0%				
+	pncA	G97S (GGT/AGT)	118	67	51		0	0		0,0%	0,0%				
+	pncA	Y99STOP (TAC/TAG)	118	67	51		0	0		0,0%	0,0%				
+	pncA	A102V (GCG/GTG)	118	67	51		0	0		0,0%	0,0%				
+	pncA	Y103STOP (TAC/TAG)	118	67	51		0	0		0,0%	0,0%				
+	pncA	S104R (AGC/AGG)	118	67	51		0	0		0,0%	0,0%				
+	pncA	nt 315 ins G	118	67	51		0	0		0,0%	0,0%				
+	pncA	T114P (ACG/CCG)	118	67	51		0	0		0,0%	0,0%				
+	pncA	L116R (CTG/CGG)	118	67	51		0	0		0,0%	0,0%				
+	pncA	R121P (CGG/CCG)	118	67	51		1	0		1,5%	0,0%				
+	pncA	V128G (GTC/GGC)	118	67	51		0	0		0,0%	0,0%				
+	pncA	nt 388 ins AGGTCGATG	118	67	51		4	0		6,0%	0,0%				
+	pncA	nt 389 ins GG	118	67	51		0	0		0,0%	0,0%				
+	pncA	V130G (GTG/GGG)	118	67	51		0	0		0,0%	0,0%				
+	pncA	A134V (GCC/GTC)	118	67	51		0	0		0,0%	0,0%				
+	pncA	H137R (CAT/CGT)	118	67	51		2	0		3,0%	0,0%				
+	pncA	C138Y (TGT/TAT)	118	67	51		0	0		0,0%	0,0%				
+	pncA	V139M (GTG/ATG)	118	67	51		0	0		0,0%	0,0%				
+	pncA	V139L (GTG/CTG)	118	67	51		0	0		0,0%	0,0%				
+	pncA	V139A (GTG/GCG)	118	67	51		1	0		1,5%	0,0%				
+	pncA	R140S (CGC/AGC)	118	67	51		0	0		0,0%	0,0%				
+	pncA	Q141P (CAG/CCG)	118	67	51		0	0		0,0%	0,0%				
+	pncA	T142K (ACG/AAG)	118	67	51		0	0		0,0%	0,0%				
+	pncA	nt 446 del 8bp	118	67	51		0	0		0,0%	0,0%				
+	pncA	V155G (GTG/GGG)	118	67	51		0	0		0,0%	0,0%				
+	pncA	L159P (GTC/CCG)	118	67	51		0	0		0,0%	0,0%				
+	pncA	T160P (ACA/CCA)	118	67	51		0	0		0,0%	0,0%				
+	pncA	A161P (GCG/CCG)	118	67	51		0	0		0,0%	0,0%				
+	pncA	G162D (GGT/GAT)	118	67	51		0	0		0,0%	0,0%				
+	pncA	A171E (GCG/GAG)	118	67	51		0	0		0,0%	0,0%				
+	pncA	L172P (CTG/CCG)	118	67	51		0	0		0,0%	0,0%				
+	pncA	S185T (AGC/ACC)	118	67	51		0	0		0,0%	0,0%				
+	N/A	Other	118	67	51		7	0		10,4%	0,0%			7 isolates had 5 different other mutations.	
+	N/A	None detected	118	67	51		19	51		28,4%	100,0%				
+															
+"Pyrazinamide
+Cont."			No. of isolates tested				No. of isolates with mutation 			Proportion of tested with mutation					
+Reference/ Country/ Time period	Gene	Mutation	Total	R	S		R	S		R	S	Molecular detection method/ Gene coverage	DST method/ Resistance pattern among R isolates	Comments	
+Cheng et al, 2000	pncA	-11 (A/G)	57	55	2		1	0		1,8%	0,0%	"Sequencing.
+Whole gene"	"BACTEC 460 or proportion method.
+21 Z, 18 MDR, 13 only tested for Z, 1 RO, 1  S, 1 R"		
+Canada, USA, South Korea	pncA	V7G (GTC/GGC)	57	55	2		0	0		0,0%	0,0%				
+1990-1992	pncA	Q10P (CAG/CCG)	57	55	2		0	0		0,0%	0,0%				
+	pncA	D12A (GAC/GCC)	57	55	2		1	0		1,8%	0,0%				
+	pncA	C14R (TGC/CGC)	57	55	2		0	0		0,0%	0,0%				
+	pncA	G17D (GGC/GAC)	57	55	2		0	0		0,0%	0,0%				
+	pncA	L19P (CTG/CCG)	57	55	2		0	0		0,0%	0,0%				
+	pncA	V21G (GTA/GGA)	57	55	2		0	0		0,0%	0,0%				
+	pncA	nt 70 del G	57	55	2		0	0		0,0%	0,0%				
+	pncA	nt 71 del G	57	55	2		0	0		0,0%	0,0%				
+	pncA	nt 76 ins GC	57	55	2		0	0		0,0%	0,0%				
+	pncA	Y34S (TAC/TCC)	57	55	2		0	0		0,0%	0,0%				
+	pncA	L35R (CTG/CGG)	57	55	2		0	0		0,0%	0,0%				
+	pncA	Y41STOP (TAC/TAG)	57	55	2		0	0		0,0%	0,0%				
+	pncA	nt 130 ins GG	57	55	2		0	0		0,0%	0,0%				
+	pncA	A46V (GCA/GTA)	57	55	2		6	0		10,9%	0,0%				
+	pncA	T47A (ACC/GCC)	57	55	2		0	0		0,0%	0,0%				
+	pncA	H51R (CAC/CGC)	57	55	2		0	0		0,0%	0,0%				
+	pncA	H51P (CAC/CCC)	57	55	2		0	0		0,0%	0,0%				
+	pncA	P54T (CCG/ACG)	57	55	2		0	0		0,0%	0,0%				
+	pncA	H57Y (CAC/TAC)	57	55	2		0	0		0,0%	0,0%				
+	pncA	nt 172 del T	57	55	2		0	0		0,0%	0,0%				
+	pncA	nt 182 ins 5bp	57	55	2		0	0		0,0%	0,0%				
+	pncA	D63G (GAC/GGC)	57	55	2		0	0		0,0%	0,0%				
+	pncA	S66P (TCG/CCG)	57	55	2		0	0		0,0%	0,0%				
+	pncA	S67P (TCG/CCG)	57	55	2		0	0		0,0%	0,0%				
+	pncA	W68R (TGG/CGG)	57	55	2		0	0		0,0%	0,0%				
+	pncA	W68L (TGG/TTG)	57	55	2		0	0		0,0%	0,0%				
+	pncA	W68G (TGG/GGG)	57	55	2		0	0		0,0%	0,0%				
+	pncA	H71R (CAT/CGT)	57	55	2		0	0		0,0%	0,0%				
+	pncA	C72R (TGC/CGC)	57	55	2		0	0		0,0%	0,0%				
+	pncA	T76P (ACT/CCT)	57	55	2		0	0		0,0%	0,0%				
+	pncA	H82R (CAT/CGT)	57	55	2		1	0		1,8%	0,0%				
+	pncA	L85P (CTG/CCG)	57	55	2		0	0		0,0%	0,0%				
+	pncA	K96N (AAG/AAT)	57	55	2		0	0		0,0%	0,0%				
+	pncA	G97S (GGT/AGT)	57	55	2		2	0		3,6%	0,0%				
+	pncA	Y99STOP (TAC/TAG)	57	55	2		0	0		0,0%	0,0%				
+	pncA	A102V (GCG/GTG)	57	55	2		0	0		0,0%	0,0%				
+	pncA	Y103STOP (TAC/TAG)	57	55	2		0	0		0,0%	0,0%				
+	pncA	S104R (AGC/AGG)	57	55	2		0	0		0,0%	0,0%				
+	pncA	nt 315 ins G	57	55	2		0	0		0,0%	0,0%				
+	pncA	T114P (ACG/CCG)	57	55	2		0	0		0,0%	0,0%				
+	pncA	L116R (CTG/CGG)	57	55	2		0	0		0,0%	0,0%				
+	pncA	R121P (CGG/CCG)	57	55	2		0	0		0,0%	0,0%				
+	pncA	V128G (GTC/GGC)	57	55	2		0	0		0,0%	0,0%				
+	pncA	nt 388 ins AGGTCGATG	57	55	2		0	0		0,0%	0,0%				
+	pncA	nt 389 ins GG	57	55	2		0	0		0,0%	0,0%				
+	pncA	V130G (GTG/GGG)	57	55	2		1	0		1,8%	0,0%				
+	pncA	A134V (GCC/GTC)	57	55	2		1	0		1,8%	0,0%				
+	pncA	H137R (CAT/CGT)	57	55	2		0	0		0,0%	0,0%				
+	pncA	C138Y (TGT/TAT)	57	55	2		0	0		0,0%	0,0%				
+	pncA	V139M (GTG/ATG)	57	55	2		1	0		1,8%	0,0%				
+	pncA	V139L (GTG/CTG)	57	55	2		0	0		0,0%	0,0%				
+	pncA	V139A (GTG/GCG)	57	55	2		0	0		0,0%	0,0%				
+	pncA	R140S (CGC/AGC)	57	55	2		21	0		38,2%	0,0%				
+	pncA	Q141P (CAG/CCG)	57	55	2		1	0		1,8%	0,0%				
+	pncA	T142K (ACG/AAG)	57	55	2		0	0		0,0%	0,0%				
+	pncA	nt 446 del 8bp	57	55	2		21	0		38,2%	0,0%				
+	pncA	V155G (GTG/GGG)	57	55	2		1	0		1,8%	0,0%				
+	pncA	L159P (GTC/CCG)	57	55	2		0	0		0,0%	0,0%				
+	pncA	T160P (ACA/CCA)	57	55	2		0	0		0,0%	0,0%				
+	pncA	A161P (GCG/CCG)	57	55	2		0	0		0,0%	0,0%				
+	pncA	G162D (GGT/GAT)	57	55	2		0	0		0,0%	0,0%				
+	pncA	A171E (GCG/GAG)	57	55	2		0	0		0,0%	0,0%				
+	pncA	L172P (CTG/CCG)	57	55	2		0	0		0,0%	0,0%				
+	pncA	S185T (AGC/ACC)	57	55	2		0	0		0,0%	0,0%				
+	N/A	Other	57	55	2		16	0		29,1%	0,0%			16 isolates had 15 different other mutations. 21 isolates had both R140S and nt 446 del 8 bp mutations. 1 isolate had both V130G and nt 420 ins GG mutations.	
+	N/A	None detected	57	55	2		3	2		5,5%	100,0%				
+"Pyrazinamide
+Cont."			No. of isolates tested				No. of isolates with mutation 			Proportion of tested with mutation					
+Reference/ Country/ Time period	Gene	Mutation	Total	R	S		R	S		R	S	Molecular detection method/ Gene coverage	DST method/ Resistance pattern among R isolates	Comments	
+Peridgao et al, 2008	pncA	-11 (A/G)	58	48	10		0	0		0,0%	0,0%	"Sequencing.
+Whole gene"	"BACTEC 460.
+36 MDR,  6 PZA."		
+Portugal	pncA	V7G (GTC/GGC)	58	48	10		0	0		0,0%	0,0%				
+2003	pncA	Q10P (CAG/CCG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	D12A (GAC/GCC)	58	48	10		0	0		0,0%	0,0%				
+	pncA	C14R (TGC/CGC)	58	48	10		0	0		0,0%	0,0%				
+	pncA	G17D (GGC/GAC)	58	48	10		0	0		0,0%	0,0%				
+	pncA	L19P (CTG/CCG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	V21G (GTA/GGA)	58	48	10		0	0		0,0%	0,0%				
+	pncA	nt 70 del G	58	48	10		0	0		0,0%	0,0%				
+	pncA	nt 71 del G	58	48	10		0	0		0,0%	0,0%				
+	pncA	nt 76 ins GC	58	48	10		0	0		0,0%	0,0%				
+	pncA	Y34S (TAC/TCC)	58	48	10		0	0		0,0%	0,0%				
+	pncA	L35R (CTG/CGG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	Y41STOP (TAC/TAG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	nt 130 ins GG	58	48	10		0	0		0,0%	0,0%				
+	pncA	A46V (GCA/GTA)	58	48	10		0	0		0,0%	0,0%				
+	pncA	T47A (ACC/GCC)	58	48	10		0	0		0,0%	0,0%				
+	pncA	H51R (CAC/CGC)	58	48	10		0	0		0,0%	0,0%				
+	pncA	H51P (CAC/CCC)	58	48	10		0	0		0,0%	0,0%				
+	pncA	P54T (CCG/ACG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	H57Y (CAC/TAC)	58	48	10		0	0		0,0%	0,0%				
+	pncA	nt 172 del T	58	48	10		0	0		0,0%	0,0%				
+	pncA	nt 182 ins 5bp	58	48	10		0	0		0,0%	0,0%				
+	pncA	D63G (GAC/GGC)	58	48	10		0	0		0,0%	0,0%				
+	pncA	S66P (TCG/CCG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	S67P (TCG/CCG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	W68R (TGG/CGG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	W68L (TGG/TTG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	W68G (TGG/GGG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	H71R (CAT/CGT)	58	48	10		0	0		0,0%	0,0%				
+	pncA	C72R (TGC/CGC)	58	48	10		0	0		0,0%	0,0%				
+	pncA	T76P (ACT/CCT)	58	48	10		1	0		2,1%	0,0%				
+	pncA	H82R (CAT/CGT)	58	48	10		0	0		0,0%	0,0%				
+	pncA	L85P (CTG/CCG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	K96N (AAG/AAT)	58	48	10		0	0		0,0%	0,0%				
+	pncA	G97S (GGT/AGT)	58	48	10		0	0		0,0%	0,0%				
+	pncA	Y99STOP (TAC/TAG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	A102V (GCG/GTG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	Y103STOP (TAC/TAG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	S104R (AGC/AGG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	nt 315 ins G	58	48	10		0	0		0,0%	0,0%				
+	pncA	T114P (ACG/CCG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	L116R (CTG/CGG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	R121P (CGG/CCG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	V128G (GTC/GGC)	58	48	10		0	0		0,0%	0,0%				
+	pncA	nt 388 ins AGGTCGATG	58	48	10		0	0		0,0%	0,0%				
+	pncA	nt 389 ins GG	58	48	10		0	0		0,0%	0,0%				
+	pncA	V130G (GTG/GGG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	A134V (GCC/GTC)	58	48	10		0	0		0,0%	0,0%				
+	pncA	H137R (CAT/CGT)	58	48	10		0	0		0,0%	0,0%				
+	pncA	C138Y (TGT/TAT)	58	48	10		0	0		0,0%	0,0%				
+	pncA	V139M (GTG/ATG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	V139L (GTG/CTG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	V139A (GTG/GCG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	R140S (CGC/AGC)	58	48	10		0	0		0,0%	0,0%				
+	pncA	Q141P (CAG/CCG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	T142K (ACG/AAG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	nt 446 del 8bp	58	48	10		0	0		0,0%	0,0%				
+	pncA	V155G (GTG/GGG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	L159P (GTC/CCG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	T160P (ACA/CCA)	58	48	10		0	0		0,0%	0,0%				
+	pncA	A161P (GCG/CCG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	G162D (GGT/GAT)	58	48	10		0	0		0,0%	0,0%				
+	pncA	A171E (GCG/GAG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	L172P (CTG/CCG)	58	48	10		0	0		0,0%	0,0%				
+	pncA	S185T (AGC/ACC)	58	48	10		0	0		0,0%	0,0%				
+	N/A	Other	58	48	10		47	0		97,9%	0,0%			33 resistant isolates had 21 different mutations.	
+	N/A	None detected	58	48	10		0	10		0,0%	100,0%				
+															
+															
+"Pyrazinamide
+Cont."			No. of isolates tested				No. of isolates with mutation 			Proportion of tested with mutation					
+Reference/ Country/ Time period	Gene	Mutation	Total	R	S		R	S		R	S	Molecular detection method/ Gene coverage	DST method/ Resistance pattern among R isolates	Comments	
+Mphahlele et al, 2008	pncA	-11 (A/G)	129	42	87		0	0		0,0%	0,0%	"Sequencing.
+Whole gene"	"BACTEC 460.
+36 MDR,  6 PZA."		
+South Africa	pncA	V7G (GTC/GGC)	129	42	87		0	0		0,0%	0,0%				
+2001-2002	pncA	Q10P (CAG/CCG)	129	42	87		0	0		0,0%	0,0%				
+	pncA	D12A (GAC/GCC)	129	42	87		0	0		0,0%	0,0%				
+	pncA	C14R (TGC/CGC)	129	42	87		2	0		4,8%	0,0%				
+	pncA	G17D (GGC/GAC)	129	42	87		0	0		0,0%	0,0%				
+	pncA	L19P (CTG/CCG)	129	42	87		0	0		0,0%	0,0%				
+	pncA	V21G (GTA/GGA)	129	42	87		0	0		0,0%	0,0%				
+	pncA	nt 70 del G	129	42	87		0	0		0,0%	0,0%				
+	pncA	nt 71 del G	129	42	87		0	0		0,0%	0,0%				
+	pncA	nt 76 ins GC	129	42	87		0	0		0,0%	0,0%				
+	pncA	Y34S (TAC/TCC)	129	42	87		0	0		0,0%	0,0%				
+	pncA	L35R (CTG/CGG)	129	42	87		1	1		2,4%	1,1%				
+	pncA	Y41STOP (TAC/TAG)	129	42	87		0	0		0,0%	0,0%				
+	pncA	nt 130 ins GG	129	42	87		0	0		0,0%	0,0%				
+	pncA	A46V (GCA/GTA)	129	42	87		0	0		0,0%	0,0%				
+	pncA	T47A (ACC/GCC)	129	42	87		0	0		0,0%	0,0%				
+	pncA	H51R (CAC/CGC)	129	42	87		0	0		0,0%	0,0%				
+	pncA	H51P (CAC/CCC)	129	42	87		0	0		0,0%	0,0%				
+	pncA	P54T (CCG/ACG)	129	42	87		0	0		0,0%	0,0%				
+	pncA	H57Y (CAC/TAC)	129	42	87		0	0		0,0%	0,0%				
+	pncA	nt 172 del T	129	42	87		0	0		0,0%	0,0%				
+	pncA	nt 182 ins 5bp	129	42	87		0	0		0,0%	0,0%				
+	pncA	D63G (GAC/GGC)	129	42	87		0	0		0,0%	0,0%				
+	pncA	S66P (TCG/CCG)	129	42	87		0	0		0,0%	0,0%				
+	pncA	S67P (TCG/CCG)	129	42	87		0	0		0,0%	0,0%				
+	pncA	W68R (TGG/CGG)	129	42	87		0	0		0,0%	0,0%				
+	pncA	W68L (TGG/TTG)	129	42	87		0	0		0,0%	0,0%				
+	pncA	W68G (TGG/GGG)	129	42	87		0	0		0,0%	0,0%				
+	pncA	H71R (CAT/CGT)	129	42	87		0	0		0,0%	0,0%				
+	pncA	C72R (TGC/CGC)	129	42	87		0	0		0,0%	0,0%				
+	pncA	T76P (ACT/CCT)	129	42	87		0	0		0,0%	0,0%				
+	pncA	H82R (CAT/CGT)	129	42	87		0	0		0,0%	0,0%				
+	pncA	L85P (CTG/CCG)	129	42	87		0	0		0,0%	0,0%				
+	pncA	K96N (AAG/AAT)	129	42	87		0	0		0,0%	0,0%				
+	pncA	G97S (GGT/AGT)	129	42	87		0	0		0,0%	0,0%				
+	pncA	Y99STOP (TAC/TAG)	129	42	87		0	0		0,0%	0,0%				
+	pncA	A102V (GCG/GTG)	129	42	87		2	0		4,8%	0,0%				
+	pncA	Y103STOP (TAC/TAG)	129	42	87		0	0		0,0%	0,0%				
+	pncA	S104R (AGC/AGG)	129	42	87		0	0		0,0%	0,0%				
+	pncA	nt 315 ins G	129	42	87		0	0		0,0%	0,0%				
+	pncA	T114P (ACG/CCG)	129	42	87		0	0		0,0%	0,0%				
+	pncA	L116R (CTG/CGG)	129	42	87		0	0		0,0%	0,0%				
+	pncA	R121P (CGG/CCG)	129	42	87		0	0		0,0%	0,0%				
+	pncA	V128G (GTC/GGC)	129	42	87		0	0		0,0%	0,0%				
+	pncA	nt 388 ins AGGTCGATG	129	42	87		0	0		0,0%	0,0%				
+	pncA	nt 389 ins GG	129	42	87		0	0		0,0%	0,0%				
+	pncA	V130G (GTG/GGG)	129	42	87		0	0		0,0%	0,0%				
+	pncA	A134V (GCC/GTC)	129	42	87		0	0		0,0%	0,0%				
+	pncA	H137R (CAT/CGT)	129	42	87		0	0		0,0%	0,0%				
+	pncA	C138Y (TGT/TAT)	129	42	87		0	0		0,0%	0,0%				
+	pncA	V139M (GTG/ATG)	129	42	87		0	0		0,0%	0,0%				
+	pncA	V139L (GTG/CTG)	129	42	87		0	0		0,0%	0,0%				
+	pncA	V139A (GTG/GCG)	129	42	87		0	0		0,0%	0,0%				
+	pncA	R140S (CGC/AGC)	129	42	87		0	0		0,0%	0,0%				
+	pncA	Q141P (CAG/CCG)	129	42	87		0	0		0,0%	0,0%				
+	pncA	T142K (ACG/AAG)	129	42	87		0	0		0,0%	0,0%				
+	pncA	nt 446 del 8bp	129	42	87		0	0		0,0%	0,0%				
+	pncA	V155G (GTG/GGG)	129	42	87		0	0		0,0%	0,0%				
+	pncA	L159P (GTC/CCG)	129	42	87		1	0		2,4%	0,0%				
+	pncA	T160P (ACA/CCA)	129	42	87		0	0		0,0%	0,0%				
+	pncA	A161P (GCG/CCG)	129	42	87		0	0		0,0%	0,0%				
+	pncA	G162D (GGT/GAT)	129	42	87		0	0		0,0%	0,0%				
+	pncA	A171E (GCG/GAG)	129	42	87		0	0		0,0%	0,0%				
+	pncA	L172P (CTG/CCG)	129	42	87		0	0		0,0%	0,0%				
+	pncA	S185T (AGC/ACC)	129	42	87		0	0		0,0%	0,0%				
+	N/A	Other	129	42	87		35	0		83,3%	0,0%			33 resistant isolates had 21 different mutations.	
+	N/A	None detected	129	42	87		3	86		7,1%	98,9%				
+															
+"Pyrazinamide
+Cont."			No. of isolates tested				No. of isolates with mutation 			Proportion of tested with mutation					
+Reference/ Country/ Time period	Gene	Mutation	Total	R	S		R	S		R	S	Molecular detection method/ Gene coverage	DST method/ Resistance pattern among R isolates	Comments	
+Rodrigues et al, 2005	pncA	-11 (A/G)	59	40	19		0	0		0,0%	0,0%	"Sequencing.
+Whole gene"	"Proportion method.
+36 MDR, the rest had variable profiles"		
+Brazil	pncA	V7G (GTC/GGC)	59	40	19		0	0		0,0%	0,0%				
+1998-2003	pncA	Q10P (CAG/CCG)	59	40	19		0	0		0,0%	0,0%				
+	pncA	D12A (GAC/GCC)	59	40	19		0	0		0,0%	0,0%				
+	pncA	C14R (TGC/CGC)	59	40	19		0	0		0,0%	0,0%				
+	pncA	G17D (GGC/GAC)	59	40	19		0	0		0,0%	0,0%				
+	pncA	L19P (CTG/CCG)	59	40	19		0	0		0,0%	0,0%				
+	pncA	V21G (GTA/GGA)	59	40	19		0	0		0,0%	0,0%				
+	pncA	nt 70 del G	59	40	19		0	0		0,0%	0,0%				
+	pncA	nt 71 del G	59	40	19		0	0		0,0%	0,0%				
+	pncA	nt 76 ins GC	59	40	19		2	0		5,0%	0,0%				
+	pncA	Y34S (TAC/TCC)	59	40	19		0	0		0,0%	0,0%				
+	pncA	L35R (CTG/CGG)	59	40	19		0	0		0,0%	0,0%				
+	pncA	Y41STOP (TAC/TAG)	59	40	19		0	0		0,0%	0,0%				
+	pncA	nt 130 ins GG	59	40	19		0	0		0,0%	0,0%				
+	pncA	A46V (GCA/GTA)	59	40	19		0	0		0,0%	0,0%				
+	pncA	T47A (ACC/GCC)	59	40	19		0	0		0,0%	0,0%				
+	pncA	H51R (CAC/CGC)	59	40	19		0	0		0,0%	0,0%				
+	pncA	H51P (CAC/CCC)	59	40	19		0	0		0,0%	0,0%				
+	pncA	P54T (CCG/ACG)	59	40	19		0	0		0,0%	0,0%				
+	pncA	H57Y (CAC/TAC)	59	40	19		0	0		0,0%	0,0%				
+	pncA	nt 172 del T	59	40	19		0	0		0,0%	0,0%				
+	pncA	nt 182 ins 5bp	59	40	19		3	0		7,5%	0,0%				
+	pncA	D63G (GAC/GGC)	59	40	19		0	0		0,0%	0,0%				
+	pncA	S66P (TCG/CCG)	59	40	19		0	0		0,0%	0,0%				
+	pncA	S67P (TCG/CCG)	59	40	19		0	0		0,0%	0,0%				
+	pncA	W68R (TGG/CGG)	59	40	19		1	0		2,5%	0,0%				
+	pncA	W68L (TGG/TTG)	59	40	19		0	0		0,0%	0,0%				
+	pncA	W68G (TGG/GGG)	59	40	19		0	0		0,0%	0,0%				
+	pncA	H71R (CAT/CGT)	59	40	19		0	0		0,0%	0,0%				
+	pncA	C72R (TGC/CGC)	59	40	19		0	0		0,0%	0,0%				
+	pncA	T76P (ACT/CCT)	59	40	19		1	0		2,5%	0,0%				
+	pncA	H82R (CAT/CGT)	59	40	19		1	0		2,5%	0,0%				
+	pncA	L85P (CTG/CCG)	59	40	19		0	0		0,0%	0,0%				
+	pncA	K96N (AAG/AAT)	59	40	19		0	0		0,0%	0,0%				
+	pncA	G97S (GGT/AGT)	59	40	19		0	0		0,0%	0,0%				
+	pncA	Y99STOP (TAC/TAG)	59	40	19		1	0		2,5%	0,0%				
+	pncA	A102V (GCG/GTG)	59	40	19		0	0		0,0%	0,0%				
+	pncA	Y103STOP (TAC/TAG)	59	40	19		1	0		2,5%	0,0%				
+	pncA	S104R (AGC/AGG)	59	40	19		0	0		0,0%	0,0%				
+	pncA	nt 315 ins G	59	40	19		2	0		5,0%	0,0%				
+	pncA	T114P (ACG/CCG)	59	40	19		0	0		0,0%	0,0%				
+	pncA	L116R (CTG/CGG)	59	40	19		0	0		0,0%	0,0%				
+	pncA	R121P (CGG/CCG)	59	40	19		0	0		0,0%	0,0%				
+	pncA	V128G (GTC/GGC)	59	40	19		1	0		2,5%	0,0%				
+	pncA	nt 388 ins AGGTCGATG	59	40	19		0	0		0,0%	0,0%				
+	pncA	nt 389 ins GG	59	40	19		0	0		0,0%	0,0%				
+	pncA	V130G (GTG/GGG)	59	40	19		0	0		0,0%	0,0%				
+	pncA	A134V (GCC/GTC)	59	40	19		0	0		0,0%	0,0%				
+	pncA	H137R (CAT/CGT)	59	40	19		0	0		0,0%	0,0%				
+	pncA	C138Y (TGT/TAT)	59	40	19		0	0		0,0%	0,0%				
+	pncA	V139M (GTG/ATG)	59	40	19		0	0		0,0%	0,0%				
+	pncA	V139L (GTG/CTG)	59	40	19		0	0		0,0%	0,0%				
+	pncA	V139A (GTG/GCG)	59	40	19		0	0		0,0%	0,0%				
+	pncA	R140S (CGC/AGC)	59	40	19		0	0		0,0%	0,0%				
+	pncA	Q141P (CAG/CCG)	59	40	19		0	0		0,0%	0,0%				
+	pncA	T142K (ACG/AAG)	59	40	19		0	0		0,0%	0,0%				
+	pncA	nt 446 del 8bp	59	40	19		0	0		0,0%	0,0%				
+	pncA	V155G (GTG/GGG)	59	40	19		3	0		7,5%	0,0%				
+	pncA	L159P (GTC/CCG)	59	40	19		0	0		0,0%	0,0%				
+	pncA	T160P (ACA/CCA)	59	40	19		0	0		0,0%	0,0%				
+	pncA	A161P (GCG/CCG)	59	40	19		0	0		0,0%	0,0%				
+	pncA	G162D (GGT/GAT)	59	40	19		1	0		2,5%	0,0%				
+	pncA	A171E (GCG/GAG)	59	40	19		3	0		7,5%	0,0%				
+	pncA	L172P (CTG/CCG)	59	40	19		0	0		0,0%	0,0%				
+	pncA	S185T (AGC/ACC)	59	40	19		0	0		0,0%	0,0%				
+	N/A	Other	59	40	19		7	0		17,5%	0,0%			7 isolates had 7 different other mutations.	
+	N/A	None detected	59	40	19		13	19		32,5%	100,0%				
+															
+"Pyrazinamide
+Cont."			No. of isolates tested				No. of isolates with mutation 			Proportion of tested with mutation					
+Reference/ Country/ Time period	Gene	Mutation	Total	R	S		R	S		R	S	Molecular detection method/ Gene coverage	DST method/ Resistance pattern among R isolates	Comments	
+Martilla et al, 1999	pncA	-11 (A/G)	44	36	8		5	0		13,9%	0,0%	"Sequencing.
+Whole gene"	"BACTEC 460.
+Only determined for PZA"		
+Russia	pncA	V7G (GTC/GGC)	44	36	8		1	0		2,8%	0,0%				
+1994-1997	pncA	Q10P (CAG/CCG)	44	36	8		0	0		0,0%	0,0%				
+	pncA	D12A (GAC/GCC)	44	36	8		0	0		0,0%	0,0%				
+	pncA	C14R (TGC/CGC)	44	36	8		0	0		0,0%	0,0%				
+	pncA	G17D (GGC/GAC)	44	36	8		0	0		0,0%	0,0%				
+	pncA	L19P (CTG/CCG)	44	36	8		0	0		0,0%	0,0%				
+	pncA	V21G (GTA/GGA)	44	36	8		0	0		0,0%	0,0%				
+	pncA	nt 70 del G	44	36	8		0	0		0,0%	0,0%				
+	pncA	nt 71 del G	44	36	8		0	0		0,0%	0,0%				
+	pncA	nt 76 ins GC	44	36	8		0	0		0,0%	0,0%				
+	pncA	Y34S (TAC/TCC)	44	36	8		0	0		0,0%	0,0%				
+	pncA	L35R (CTG/CGG)	44	36	8		0	0		0,0%	0,0%				
+	pncA	Y41STOP (TAC/TAG)	44	36	8		0	0		0,0%	0,0%				
+	pncA	nt 130 ins GG	44	36	8		0	0		0,0%	0,0%				
+	pncA	A46V (GCA/GTA)	44	36	8		0	0		0,0%	0,0%				
+	pncA	T47A (ACC/GCC)	44	36	8		0	0		0,0%	0,0%				
+	pncA	H51R (CAC/CGC)	44	36	8		0	0		0,0%	0,0%				
+	pncA	H51P (CAC/CCC)	44	36	8		0	0		0,0%	0,0%				
+	pncA	P54T (CCG/ACG)	44	36	8		0	0		0,0%	0,0%				
+	pncA	H57Y (CAC/TAC)	44	36	8		0	0		0,0%	0,0%				
+	pncA	nt 172 del T	44	36	8		0	0		0,0%	0,0%				
+	pncA	nt 182 ins 5bp	44	36	8		0	0		0,0%	0,0%				
+	pncA	D63G (GAC/GGC)	44	36	8		0	0		0,0%	0,0%				
+	pncA	S66P (TCG/CCG)	44	36	8		1	0		2,8%	0,0%				
+	pncA	S67P (TCG/CCG)	44	36	8		0	0		0,0%	0,0%				
+	pncA	W68R (TGG/CGG)	44	36	8		0	0		0,0%	0,0%				
+	pncA	W68L (TGG/TTG)	44	36	8		0	0		0,0%	0,0%				
+	pncA	W68G (TGG/GGG)	44	36	8		0	0		0,0%	0,0%				
+	pncA	H71R (CAT/CGT)	44	36	8		0	0		0,0%	0,0%				
+	pncA	C72R (TGC/CGC)	44	36	8		0	0		0,0%	0,0%				
+	pncA	T76P (ACT/CCT)	44	36	8		0	0		0,0%	0,0%				
+	pncA	H82R (CAT/CGT)	44	36	8		0	0		0,0%	0,0%				
+	pncA	L85P (CTG/CCG)	44	36	8		0	0		0,0%	0,0%				
+	pncA	K96N (AAG/AAT)	44	36	8		0	0		0,0%	0,0%				
+	pncA	G97S (GGT/AGT)	44	36	8		0	0		0,0%	0,0%				
+	pncA	Y99STOP (TAC/TAG)	44	36	8		0	0		0,0%	0,0%				
+	pncA	A102V (GCG/GTG)	44	36	8		2	0		5,6%	0,0%				
+	pncA	Y103STOP (TAC/TAG)	44	36	8		1	0		2,8%	0,0%				
+	pncA	S104R (AGC/AGG)	44	36	8		0	0		0,0%	0,0%				
+	pncA	nt 315 ins G	44	36	8		0	0		0,0%	0,0%				
+	pncA	T114P (ACG/CCG)	44	36	8		0	0		0,0%	0,0%				
+	pncA	L116R (CTG/CGG)	44	36	8		1	0		2,8%	0,0%				
+	pncA	R121P (CGG/CCG)	44	36	8		0	0		0,0%	0,0%				
+	pncA	V128G (GTC/GGC)	44	36	8		0	0		0,0%	0,0%				
+	pncA	nt 388 ins AGGTCGATG	44	36	8		0	0		0,0%	0,0%				
+	pncA	nt 389 ins GG	44	36	8		0	0		0,0%	0,0%				
+	pncA	V130G (GTG/GGG)	44	36	8		0	0		0,0%	0,0%				
+	pncA	A134V (GCC/GTC)	44	36	8		0	0		0,0%	0,0%				
+	pncA	H137R (CAT/CGT)	44	36	8		0	0		0,0%	0,0%				
+	pncA	C138Y (TGT/TAT)	44	36	8		0	0		0,0%	0,0%				
+	pncA	V139M (GTG/ATG)	44	36	8		0	0		0,0%	0,0%				
+	pncA	V139L (GTG/CTG)	44	36	8		0	0		0,0%	0,0%				
+	pncA	V139A (GTG/GCG)	44	36	8		0	0		0,0%	0,0%				
+	pncA	R140S (CGC/AGC)	44	36	8		0	0		0,0%	0,0%				
+	pncA	Q141P (CAG/CCG)	44	36	8		2	0		5,6%	0,0%				
+	pncA	T142K (ACG/AAG)	44	36	8		0	0		0,0%	0,0%				
+	pncA	nt 446 del 8bp	44	36	8		0	0		0,0%	0,0%				
+	pncA	V155G (GTG/GGG)	44	36	8		0	0		0,0%	0,0%				
+	pncA	L159P (GTC/CCG)	44	36	8		0	0		0,0%	0,0%				
+	pncA	T160P (ACA/CCA)	44	36	8		2	0		5,6%	0,0%				
+	pncA	A161P (GCG/CCG)	44	36	8		2	0		5,6%	0,0%				
+	pncA	G162D (GGT/GAT)	44	36	8		0	0		0,0%	0,0%				
+	pncA	A171E (GCG/GAG)	44	36	8		0	0		0,0%	0,0%				
+	pncA	L172P (CTG/CCG)	44	36	8		0	0		0,0%	0,0%				
+	pncA	S185T (AGC/ACC)	44	36	8		0	0		0,0%	0,0%				
+	N/A	Other	44	36	8		14	0		38,9%	0,0%			14 isolates had 14 different other mutations. 	
+	N/A	None detected	44	36	8		5	8		13,9%	100,0%				
+															
+"Pyrazinamide
+Cont."			No. of isolates tested				No. of isolates with mutation 			Proportion of tested with mutation					
+Reference/ Country/ Time period	Gene	Mutation	Total	R	S		R	S		R	S	Molecular detection method/ Gene coverage	DST method/ Resistance pattern among R isolates	Comments	
+Morlock et al, 2000	pncA	-11 (A/G)	60	35	23		0	0		0,0%	0,0%	"Sequencing.
+Whole gene"	"Proportion method.
+Only determined for PZA"		
+USA	pncA	V7G (GTC/GGC)	60	35	23		0	0		0,0%	0,0%				
+N.S.	pncA	Q10P (CAG/CCG)	60	35	23		1	0		2,9%	0,0%				
+	pncA	D12A (GAC/GCC)	60	35	23		0	0		0,0%	0,0%				
+	pncA	C14R (TGC/CGC)	60	35	23		0	0		0,0%	0,0%				
+	pncA	G17D (GGC/GAC)	60	35	23		0	0		0,0%	0,0%				
+	pncA	L19P (CTG/CCG)	60	35	23		0	0		0,0%	0,0%				
+	pncA	V21G (GTA/GGA)	60	35	23		0	0		0,0%	0,0%				
+	pncA	nt 70 del G	60	35	23		0	0		0,0%	0,0%				
+	pncA	nt 71 del G	60	35	23		2	0		5,7%	0,0%				
+	pncA	nt 76 ins GC	60	35	23		0	0		0,0%	0,0%				
+	pncA	Y34S (TAC/TCC)	60	35	23		0	0		0,0%	0,0%				
+	pncA	L35R (CTG/CGG)	60	35	23		0	0		0,0%	0,0%				
+	pncA	Y41STOP (TAC/TAG)	60	35	23		0	0		0,0%	0,0%				
+	pncA	nt 130 ins GG	60	35	23		0	0		0,0%	0,0%				
+	pncA	A46V (GCA/GTA)	60	35	23		0	0		0,0%	0,0%				
+	pncA	T47A (ACC/GCC)	60	35	23		0	3		0,0%	13,0%				
+	pncA	H51R (CAC/CGC)	60	35	23		0	0		0,0%	0,0%				
+	pncA	H51P (CAC/CCC)	60	35	23		1	0		2,9%	0,0%				
+	pncA	P54T (CCG/ACG)	60	35	23		0	0		0,0%	0,0%				
+	pncA	H57Y (CAC/TAC)	60	35	23		0	0		0,0%	0,0%				
+	pncA	nt 172 del T	60	35	23		0	0		0,0%	0,0%				
+	pncA	nt 182 ins 5bp	60	35	23		0	0		0,0%	0,0%				
+	pncA	D63G (GAC/GGC)	60	35	23		0	0		0,0%	0,0%				
+	pncA	S66P (TCG/CCG)	60	35	23		0	0		0,0%	0,0%				
+	pncA	S67P (TCG/CCG)	60	35	23		0	0		0,0%	0,0%				
+	pncA	W68R (TGG/CGG)	60	35	23		0	0		0,0%	0,0%				
+	pncA	W68L (TGG/TTG)	60	35	23		0	0		0,0%	0,0%				
+	pncA	W68G (TGG/GGG)	60	35	23		0	0		0,0%	0,0%				
+	pncA	H71R (CAT/CGT)	60	35	23		1	0		2,9%	0,0%				
+	pncA	C72R (TGC/CGC)	60	35	23		0	0		0,0%	0,0%				
+	pncA	T76P (ACT/CCT)	60	35	23		1	0		2,9%	0,0%				
+	pncA	H82R (CAT/CGT)	60	35	23		0	0		0,0%	0,0%				
+	pncA	L85P (CTG/CCG)	60	35	23		2	0		5,7%	0,0%				
+	pncA	K96N (AAG/AAT)	60	35	23		0	0		0,0%	0,0%				
+	pncA	G97S (GGT/AGT)	60	35	23		1	0		2,9%	0,0%				
+	pncA	Y99STOP (TAC/TAG)	60	35	23		1	0		2,9%	0,0%				
+	pncA	A102V (GCG/GTG)	60	35	23		0	0		0,0%	0,0%				
+	pncA	Y103STOP (TAC/TAG)	60	35	23		1	0		2,9%	0,0%				
+	pncA	S104R (AGC/AGG)	60	35	23		0	0		0,0%	0,0%				
+	pncA	nt 315 ins G	60	35	23		0	0		0,0%	0,0%				
+	pncA	T114P (ACG/CCG)	60	35	23		0	0		0,0%	0,0%				
+	pncA	L116R (CTG/CGG)	60	35	23		0	0		0,0%	0,0%				
+	pncA	R121P (CGG/CCG)	60	35	23		0	0		0,0%	0,0%				
+	pncA	V128G (GTC/GGC)	60	35	23		0	0		0,0%	0,0%				
+	pncA	nt 388 ins AGGTCGATG	60	35	23		1	0		2,9%	0,0%				
+	pncA	nt 389 ins GG	60	35	23		0	0		0,0%	0,0%				
+	pncA	V130G (GTG/GGG)	60	35	23		1	0		2,9%	0,0%				
+	pncA	A134V (GCC/GTC)	60	35	23		1	0		2,9%	0,0%				
+	pncA	H137R (CAT/CGT)	60	35	23		2	0		5,7%	0,0%				
+	pncA	C138Y (TGT/TAT)	60	35	23		1	0		2,9%	0,0%				
+	pncA	V139M (GTG/ATG)	60	35	23		0	0		0,0%	0,0%				
+	pncA	V139L (GTG/CTG)	60	35	23		1	0		2,9%	0,0%				
+	pncA	V139A (GTG/GCG)	60	35	23		0	0		0,0%	0,0%				
+	pncA	R140S (CGC/AGC)	60	35	23		0	0		0,0%	0,0%				
+	pncA	Q141P (CAG/CCG)	60	35	23		0	0		0,0%	0,0%				
+	pncA	T142K (ACG/AAG)	60	35	23		0	0		0,0%	0,0%				
+	pncA	nt 446 del 8bp	60	35	23		0	0		0,0%	0,0%				
+	pncA	V155G (GTG/GGG)	60	35	23		0	0		0,0%	0,0%				
+	pncA	L159P (GTC/CCG)	60	35	23		0	0		0,0%	0,0%				
+	pncA	T160P (ACA/CCA)	60	35	23		0	0		0,0%	0,0%				
+	pncA	A161P (GCG/CCG)	60	35	23		0	0		0,0%	0,0%				
+	pncA	G162D (GGT/GAT)	60	35	23		0	0		0,0%	0,0%				
+	pncA	A171E (GCG/GAG)	60	35	23		0	0		0,0%	0,0%				
+	pncA	L172P (CTG/CCG)	60	35	23		2	0		5,7%	0,0%				
+	pncA	S185T (AGC/ACC)	60	35	23		0	0		0,0%	0,0%				
+	N/A	Other	60	35	23		14	0		40,0%	0,0%			14 isolates had 14 different other mutations.	
+	N/A	None detected	60	35	23		1	20		2,9%	87,0%				
+															
+"Pyrazinamide
+Cont."			No. of isolates tested				No. of isolates with mutation 			Proportion of tested with mutation					
+Reference/ Country/ Time period	Gene	Mutation	Total	R	S		R	S		R	S	Molecular detection method/ Gene coverage	DST method/ Resistance pattern among R isolates	Comments	
+Martin et al, 2008	pncA	-11 (A/G)	67	33	34		0	0		0,0%	0,0%	"Sequencing.
+Whole gene"	"Proportion method.
+3 Z, 25 MDR, 3 other patterns"		
+Multiple, Eastern Europe (Armenia, Georgis, Kazakstan, Russia, Azerbaijan)	pncA	V7G (GTC/GGC)	67	33	34		0	0		0,0%	0,0%				
+	pncA	Q10P (CAG/CCG)	67	33	34		1	0		3,0%	0,0%				
+	pncA	D12A (GAC/GCC)	67	33	34		0	0		0,0%	0,0%				
+	pncA	C14R (TGC/CGC)	67	33	34		0	0		0,0%	0,0%				
+N.S.	pncA	G17D (GGC/GAC)	67	33	34		0	0		0,0%	0,0%				
+	pncA	L19P (CTG/CCG)	67	33	34		0	0		0,0%	0,0%				
+	pncA	V21G (GTA/GGA)	67	33	34		0	0		0,0%	0,0%				
+	pncA	nt 70 del G	67	33	34		0	0		0,0%	0,0%				
+	pncA	nt 71 del G	67	33	34		0	0		0,0%	0,0%				
+	pncA	nt 76 ins GC	67	33	34		0	0		0,0%	0,0%				
+	pncA	Y34S (TAC/TCC)	67	33	34		0	0		0,0%	0,0%				
+	pncA	L35R (CTG/CGG)	67	33	34		0	0		0,0%	0,0%				
+	pncA	Y41STOP (TAC/TAG)	67	33	34		0	0		0,0%	0,0%				
+	pncA	nt 130 ins GG	67	33	34		0	0		0,0%	0,0%				
+	pncA	A46V (GCA/GTA)	67	33	34		0	0		0,0%	0,0%				
+	pncA	T47A (ACC/GCC)	67	33	34		0	0		0,0%	0,0%				
+	pncA	H51R (CAC/CGC)	67	33	34		0	0		0,0%	0,0%				
+	pncA	H51P (CAC/CCC)	67	33	34		0	0		0,0%	0,0%				
+	pncA	P54T (CCG/ACG)	67	33	34		0	0		0,0%	0,0%				
+	pncA	H57Y (CAC/TAC)	67	33	34		0	0		0,0%	0,0%				
+	pncA	nt 172 del T	67	33	34		0	0		0,0%	0,0%				
+	pncA	nt 182 ins 5bp	67	33	34		0	0		0,0%	0,0%				
+	pncA	D63G (GAC/GGC)	67	33	34		1	0		3,0%	0,0%				
+	pncA	S66P (TCG/CCG)	67	33	34		0	0		0,0%	0,0%				
+	pncA	S67P (TCG/CCG)	67	33	34		0	0		0,0%	0,0%				
+	pncA	W68R (TGG/CGG)	67	33	34		0	0		0,0%	0,0%				
+	pncA	W68L (TGG/TTG)	67	33	34		0	0		0,0%	0,0%				
+	pncA	W68G (TGG/GGG)	67	33	34		0	0		0,0%	0,0%				
+	pncA	H71R (CAT/CGT)	67	33	34		0	0		0,0%	0,0%				
+	pncA	C72R (TGC/CGC)	67	33	34		0	0		0,0%	0,0%				
+	pncA	T76P (ACT/CCT)	67	33	34		1	0		3,0%	0,0%				
+	pncA	H82R (CAT/CGT)	67	33	34		0	0		0,0%	0,0%				
+	pncA	L85P (CTG/CCG)	67	33	34		0	0		0,0%	0,0%				
+	pncA	K96N (AAG/AAT)	67	33	34		0	0		0,0%	0,0%				
+	pncA	G97S (GGT/AGT)	67	33	34		2	0		6,1%	0,0%				
+	pncA	Y99STOP (TAC/TAG)	67	33	34		0	0		0,0%	0,0%				
+	pncA	A102V (GCG/GTG)	67	33	34		0	0		0,0%	0,0%				
+	pncA	Y103STOP (TAC/TAG)	67	33	34		0	0		0,0%	0,0%				
+	pncA	S104R (AGC/AGG)	67	33	34		0	0		0,0%	0,0%				
+	pncA	nt 315 ins G	67	33	34		0	0		0,0%	0,0%				
+	pncA	T114P (ACG/CCG)	67	33	34		0	0		0,0%	0,0%				
+	pncA	L116R (CTG/CGG)	67	33	34		0	0		0,0%	0,0%				
+	pncA	R121P (CGG/CCG)	67	33	34		0	0		0,0%	0,0%				
+	pncA	V128G (GTC/GGC)	67	33	34		0	0		0,0%	0,0%				
+	pncA	nt 388 ins AGGTCGATG	67	33	34		0	0		0,0%	0,0%				
+	pncA	nt 389 ins GG	67	33	34		0	0		0,0%	0,0%				
+	pncA	V130G (GTG/GGG)	67	33	34		2	0		6,1%	0,0%				
+	pncA	A134V (GCC/GTC)	67	33	34		0	0		0,0%	0,0%				
+	pncA	H137R (CAT/CGT)	67	33	34		0	0		0,0%	0,0%				
+	pncA	C138Y (TGT/TAT)	67	33	34		0	0		0,0%	0,0%				
+	pncA	V139M (GTG/ATG)	67	33	34		0	0		0,0%	0,0%				
+	pncA	V139L (GTG/CTG)	67	33	34		0	0		0,0%	0,0%				
+	pncA	V139A (GTG/GCG)	67	33	34		0	0		0,0%	0,0%				
+	pncA	R140S (CGC/AGC)	67	33	34		0	0		0,0%	0,0%				
+	pncA	Q141P (CAG/CCG)	67	33	34		0	0		0,0%	0,0%				
+	pncA	T142K (ACG/AAG)	67	33	34		0	0		0,0%	0,0%				
+	pncA	nt 446 del 8bp	67	33	34		0	0		0,0%	0,0%				
+	pncA	V155G (GTG/GGG)	67	33	34		0	0		0,0%	0,0%				
+	pncA	L159P (GTC/CCG)	67	33	34		0	0		0,0%	0,0%				
+	pncA	T160P (ACA/CCA)	67	33	34		0	0		0,0%	0,0%				
+	pncA	A161P (GCG/CCG)	67	33	34		0	0		0,0%	0,0%				
+	pncA	G162D (GGT/GAT)	67	33	34		0	0		0,0%	0,0%				
+	pncA	A171E (GCG/GAG)	67	33	34		0	0		0,0%	0,0%				
+	pncA	L172P (CTG/CCG)	67	33	34		0	0		0,0%	0,0%				
+	pncA	S185T (AGC/ACC)	67	33	34		0	0		0,0%	0,0%				
+	N/A	Other	67	33	34		19	0		57,6%	0,0%			11 isolates had 11 different other mutations. 	
+	N/A	None detected	67	33	34		3	34		9,1%	100,0%				
+															
+"Pyrazinamide
+Cont."			No. of isolates tested				No. of isolates with mutation 			Proportion of tested with mutation					
+Reference/ Country/ Time period	Gene	Mutation	Total	R	S		R	S		R	S	Molecular detection method/ Gene coverage	DST method/ Resistance pattern among R isolates	Comments	
+Hirano et al, 1997	pncA	-11 (A/G)	168	33	135		0	0		0,0%	0,0%	"Sequencing.
+Whole gene"	"Proportion method.
+3 Z, 25 MDR, 3 other patterns"		
+Multiple, Asia and Canada	pncA	V7G (GTC/GGC)	168	33	135		2	0		6,1%	0,0%				
+N.S.	pncA	Q10P (CAG/CCG)	168	33	135		1	0		3,0%	0,0%				
+	pncA	D12A (GAC/GCC)	168	33	135		0	0		0,0%	0,0%				
+	pncA	C14R (TGC/CGC)	168	33	135		1	0		3,0%	0,0%				
+	pncA	G17D (GGC/GAC)	168	33	135		2	0		6,1%	0,0%				
+	pncA	L19P (CTG/CCG)	168	33	135		0	0		0,0%	0,0%				
+	pncA	V21G (GTA/GGA)	168	33	135		0	0		0,0%	0,0%				
+	pncA	nt 70 del G	168	33	135		0	0		0,0%	0,0%				
+	pncA	nt 71 del G	168	33	135		0	0		0,0%	0,0%				
+	pncA	nt 76 ins GC	168	33	135		0	0		0,0%	0,0%				
+	pncA	Y34S (TAC/TCC)	168	33	135		2	0		6,1%	0,0%				
+	pncA	L35R (CTG/CGG)	168	33	135		0	0		0,0%	0,0%				
+	pncA	Y41STOP (TAC/TAG)	168	33	135		0	0		0,0%	0,0%				
+	pncA	nt 130 ins GG	168	33	135		0	0		0,0%	0,0%				
+	pncA	A46V (GCA/GTA)	168	33	135		1	0		3,0%	0,0%				
+	pncA	T47A (ACC/GCC)	168	33	135		0	0		0,0%	0,0%				
+	pncA	H51R (CAC/CGC)	168	33	135		1	0		3,0%	0,0%				
+	pncA	H51P (CAC/CCC)	168	33	135		1	0		3,0%	0,0%				
+	pncA	P54T (CCG/ACG)	168	33	135		0	0		0,0%	0,0%				
+	pncA	H57Y (CAC/TAC)	168	33	135		0	0		0,0%	0,0%				
+	pncA	nt 172 del T	168	33	135		0	0		0,0%	0,0%				
+	pncA	nt 182 ins 5bp	168	33	135		0	0		0,0%	0,0%				
+	pncA	D63G (GAC/GGC)	168	33	135		1	0		3,0%	0,0%				
+	pncA	S66P (TCG/CCG)	168	33	135		0	0		0,0%	0,0%				
+	pncA	S67P (TCG/CCG)	168	33	135		1	0		3,0%	0,0%				
+	pncA	W68R (TGG/CGG)	168	33	135		0	0		0,0%	0,0%				
+	pncA	W68L (TGG/TTG)	168	33	135		0	0		0,0%	0,0%				
+	pncA	W68G (TGG/GGG)	168	33	135		0	0		0,0%	0,0%				
+	pncA	H71R (CAT/CGT)	168	33	135		0	0		0,0%	0,0%				
+	pncA	C72R (TGC/CGC)	168	33	135		1	0		3,0%	0,0%				
+	pncA	T76P (ACT/CCT)	168	33	135		0	0		0,0%	0,0%				
+	pncA	H82R (CAT/CGT)	168	33	135		0	0		0,0%	0,0%				
+	pncA	L85P (CTG/CCG)	168	33	135		0	0		0,0%	0,0%				
+	pncA	K96N (AAG/AAT)	168	33	135		0	0		0,0%	0,0%				
+	pncA	G97S (GGT/AGT)	168	33	135		0	0		0,0%	0,0%				
+	pncA	Y99STOP (TAC/TAG)	168	33	135		0	0		0,0%	0,0%				
+	pncA	A102V (GCG/GTG)	168	33	135		0	0		0,0%	0,0%				
+	pncA	Y103STOP (TAC/TAG)	168	33	135		0	0		0,0%	0,0%				
+	pncA	S104R (AGC/AGG)	168	33	135		1	0		3,0%	0,0%				
+	pncA	nt 315 ins G	168	33	135		0	0		0,0%	0,0%				
+	pncA	T114P (ACG/CCG)	168	33	135		1	0		3,0%	0,0%				
+	pncA	L116R (CTG/CGG)	168	33	135		0	0		0,0%	0,0%				
+	pncA	R121P (CGG/CCG)	168	33	135		0	0		0,0%	0,0%				
+	pncA	V128G (GTC/GGC)	168	33	135		0	0		0,0%	0,0%				
+	pncA	nt 388 ins AGGTCGATG	168	33	135		0	0		0,0%	0,0%				
+	pncA	nt 389 ins GG	168	33	135		0	0		0,0%	0,0%				
+	pncA	V130G (GTG/GGG)	168	33	135		2	0		6,1%	0,0%				
+	pncA	A134V (GCC/GTC)	168	33	135		0	0		0,0%	0,0%				
+	pncA	H137R (CAT/CGT)	168	33	135		0	0		0,0%	0,0%				
+	pncA	C138Y (TGT/TAT)	168	33	135		0	0		0,0%	0,0%				
+	pncA	V139M (GTG/ATG)	168	33	135		0	0		0,0%	0,0%				
+	pncA	V139L (GTG/CTG)	168	33	135		0	0		0,0%	0,0%				
+	pncA	V139A (GTG/GCG)	168	33	135		1	0		3,0%	0,0%				
+	pncA	R140S (CGC/AGC)	168	33	135		0	0		0,0%	0,0%				
+	pncA	Q141P (CAG/CCG)	168	33	135		0	0		0,0%	0,0%				
+	pncA	T142K (ACG/AAG)	168	33	135		2	0		6,1%	0,0%				
+	pncA	nt 446 del 8bp	168	33	135		0	0		0,0%	0,0%				
+	pncA	V155G (GTG/GGG)	168	33	135		0	0		0,0%	0,0%				
+	pncA	L159P (GTC/CCG)	168	33	135		0	0		0,0%	0,0%				
+	pncA	T160P (ACA/CCA)	168	33	135		0	0		0,0%	0,0%				
+	pncA	A161P (GCG/CCG)	168	33	135		0	0		0,0%	0,0%				
+	pncA	G162D (GGT/GAT)	168	33	135		0	0		0,0%	0,0%				
+	pncA	A171E (GCG/GAG)	168	33	135		0	0		0,0%	0,0%				
+	pncA	L172P (CTG/CCG)	168	33	135		1	0		3,0%	0,0%				
+	pncA	S185T (AGC/ACC)	168	33	135		0	0		0,0%	0,0%				
+	N/A	Other	168	33	135		11	0		33,3%	0,0%			11 isolates had 11 different other mutations. 	
+	N/A	None detected	168	33	135		0	135		0,0%	100,0%				
+															
+"Pyrazinamide
+Cont."			No. of isolates tested				No. of isolates with mutation 			Proportion of tested with mutation					
+Reference/ Country/ Time period	Gene	Mutation	Total	R	S		R	S		R	S	Molecular detection method/ Gene coverage	DST method/ Resistance pattern among R isolates	Comments	
+Juréen et al, 2008	pncA	-11 (A/G)	69	32	37		1	0		3,1%	0,0%	"Sequencing.
+Whole gene"	"BACTEC 460 
+21 MDR"		
+Sweden	pncA	V7G (GTC/GGC)	69	32	37		0	0		0,0%	0,0%				
+N.S.	pncA	Q10P (CAG/CCG)	69	32	37		0	0		0,0%	0,0%				
+	pncA	D12A (GAC/GCC)	69	32	37		0	0		0,0%	0,0%				
+	pncA	C14R (TGC/CGC)	69	32	37		0	0		0,0%	0,0%				
+	pncA	G17D (GGC/GAC)	69	32	37		0	0		0,0%	0,0%				
+	pncA	L19P (CTG/CCG)	69	32	37		0	0		0,0%	0,0%				
+	pncA	V21G (GTA/GGA)	69	32	37		0	0		0,0%	0,0%				
+	pncA	nt 70 del G	69	32	37		0	0		0,0%	0,0%				
+	pncA	nt 71 del G	69	32	37		0	0		0,0%	0,0%				
+	pncA	nt 76 ins GC	69	32	37		0	0		0,0%	0,0%				
+	pncA	Y34S (TAC/TCC)	69	32	37		0	0		0,0%	0,0%				
+	pncA	L35R (CTG/CGG)	69	32	37		0	0		0,0%	0,0%				
+	pncA	Y41STOP (TAC/TAG)	69	32	37		0	0		0,0%	0,0%				
+	pncA	nt 130 ins GG	69	32	37		0	0		0,0%	0,0%				
+	pncA	A46V (GCA/GTA)	69	32	37		0	0		0,0%	0,0%				
+	pncA	T47A (ACC/GCC)	69	32	37		3	0		9,4%	0,0%				
+	pncA	H51R (CAC/CGC)	69	32	37		0	0		0,0%	0,0%				
+	pncA	H51P (CAC/CCC)	69	32	37		0	0		0,0%	0,0%				
+	pncA	P54T (CCG/ACG)	69	32	37		0	0		0,0%	0,0%				
+	pncA	H57Y (CAC/TAC)	69	32	37		0	0		0,0%	0,0%				
+	pncA	nt 172 del T	69	32	37		0	0		0,0%	0,0%				
+	pncA	nt 182 ins 5bp	69	32	37		0	0		0,0%	0,0%				
+	pncA	D63G (GAC/GGC)	69	32	37		0	0		0,0%	0,0%				
+	pncA	S66P (TCG/CCG)	69	32	37		0	0		0,0%	0,0%				
+	pncA	S67P (TCG/CCG)	69	32	37		1	0		3,1%	0,0%				
+	pncA	W68R (TGG/CGG)	69	32	37		1	0		3,1%	0,0%				
+	pncA	W68L (TGG/TTG)	69	32	37		0	0		0,0%	0,0%				
+	pncA	W68G (TGG/GGG)	69	32	37		0	0		0,0%	0,0%				
+	pncA	H71R (CAT/CGT)	69	32	37		0	0		0,0%	0,0%				
+	pncA	C72R (TGC/CGC)	69	32	37		0	0		0,0%	0,0%				
+	pncA	T76P (ACT/CCT)	69	32	37		0	0		0,0%	0,0%				
+	pncA	H82R (CAT/CGT)	69	32	37		0	0		0,0%	0,0%				
+	pncA	L85P (CTG/CCG)	69	32	37		0	0		0,0%	0,0%				
+	pncA	K96N (AAG/AAT)	69	32	37		0	0		0,0%	0,0%				
+	pncA	G97S (GGT/AGT)	69	32	37		0	0		0,0%	0,0%				
+	pncA	Y99STOP (TAC/TAG)	69	32	37		0	0		0,0%	0,0%				
+	pncA	A102V (GCG/GTG)	69	32	37		0	0		0,0%	0,0%				
+	pncA	Y103STOP (TAC/TAG)	69	32	37		0	0		0,0%	0,0%				
+	pncA	S104R (AGC/AGG)	69	32	37		0	0		0,0%	0,0%				
+	pncA	nt 315 ins G	69	32	37		0	0		0,0%	0,0%				
+	pncA	T114P (ACG/CCG)	69	32	37		0	0		0,0%	0,0%				
+	pncA	L116R (CTG/CGG)	69	32	37		0	0		0,0%	0,0%				
+	pncA	R121P (CGG/CCG)	69	32	37		0	0		0,0%	0,0%				
+	pncA	V128G (GTC/GGC)	69	32	37		0	0		0,0%	0,0%				
+	pncA	nt 388 ins AGGTCGATG	69	32	37		0	0		0,0%	0,0%				
+	pncA	nt 389 ins GG	69	32	37		0	0		0,0%	0,0%				
+	pncA	V130G (GTG/GGG)	69	32	37		0	0		0,0%	0,0%				
+	pncA	A134V (GCC/GTC)	69	32	37		0	0		0,0%	0,0%				
+	pncA	H137R (CAT/CGT)	69	32	37		0	0		0,0%	0,0%				
+	pncA	C138Y (TGT/TAT)	69	32	37		1	0		3,1%	0,0%				
+	pncA	V139M (GTG/ATG)	69	32	37		0	0		0,0%	0,0%				
+	pncA	V139L (GTG/CTG)	69	32	37		0	0		0,0%	0,0%				
+	pncA	V139A (GTG/GCG)	69	32	37		0	0		0,0%	0,0%				
+	pncA	R140S (CGC/AGC)	69	32	37		0	0		0,0%	0,0%				
+	pncA	Q141P (CAG/CCG)	69	32	37		0	0		0,0%	0,0%				
+	pncA	T142K (ACG/AAG)	69	32	37		1	0		3,1%	0,0%				
+	pncA	nt 446 del 8bp	69	32	37		0	0		0,0%	0,0%				
+	pncA	V155G (GTG/GGG)	69	32	37		1	0		3,1%	0,0%				
+	pncA	L159P (GTC/CCG)	69	32	37		0	0		0,0%	0,0%				
+	pncA	T160P (ACA/CCA)	69	32	37		0	0		0,0%	0,0%				
+	pncA	A161P (GCG/CCG)	69	32	37		0	0		0,0%	0,0%				
+	pncA	G162D (GGT/GAT)	69	32	37		0	0		0,0%	0,0%				
+	pncA	A171E (GCG/GAG)	69	32	37		0	0		0,0%	0,0%				
+	pncA	L172P (CTG/CCG)	69	32	37		2	0		6,3%	0,0%				
+	pncA	S185T (AGC/ACC)	69	32	37		0	0		0,0%	0,0%				
+	N/A	Other	69	32	37		21	3		65,6%	8,1%			21  isolates had 19 different other mutations.	
+	N/A	None detected	69	32	37		1	34		3,1%	91,9%				
+															
+"Pyrazinamide
+Cont."			No. of isolates tested				No. of isolates with mutation 			Proportion of tested with mutation					
+Reference/ Country/ Time period	Gene	Mutation	Total	R	S		R	S		R	S	Molecular detection method/ Gene coverage	DST method/ Resistance pattern among R isolates	Comments	
+Hou et al, 2000	pncA	-11 (A/G)	65	35	30		0	0		0,0%	0,0%	"PCR-SSCP and Sequencing.
+Whole gene"	"BACTEC 460 and proportion method.
+23 MDR,  8 PDR, 1  S"		
+China	pncA	V7G (GTC/GGC)	65	35	30		0	0		0,0%	0,0%				
+1996-1998	pncA	Q10P (CAG/CCG)	65	35	30		0	0		0,0%	0,0%				
+	pncA	D12A (GAC/GCC)	65	35	30		1	0		2,9%	0,0%				
+	pncA	C14R (TGC/CGC)	65	35	30		0	0		0,0%	0,0%				
+	pncA	G17D (GGC/GAC)	65	35	30		0	0		0,0%	0,0%				
+	pncA	L19P (CTG/CCG)	65	35	30		1	0		2,9%	0,0%				
+	pncA	V21G (GTA/GGA)	65	35	30		0	0		0,0%	0,0%				
+	pncA	nt 70 del G	65	35	30		0	0		0,0%	0,0%				
+	pncA	nt 71 del G	65	35	30		1	0		2,9%	0,0%				
+	pncA	nt 76 ins GC	65	35	30		0	0		0,0%	0,0%				
+	pncA	Y34S (TAC/TCC)	65	35	30		0	0		0,0%	0,0%				
+	pncA	L35R (CTG/CGG)	65	35	30		0	0		0,0%	0,0%				
+	pncA	Y41STOP (TAC/TAG)	65	35	30		2	0		5,7%	0,0%				
+	pncA	nt 130 ins GG	65	35	30		0	0		0,0%	0,0%				
+	pncA	A46V (GCA/GTA)	65	35	30		0	0		0,0%	0,0%				
+	pncA	T47A (ACC/GCC)	65	35	30		0	0		0,0%	0,0%				
+	pncA	H51R (CAC/CGC)	65	35	30		0	0		0,0%	0,0%				
+	pncA	H51P (CAC/CCC)	65	35	30		0	0		0,0%	0,0%				
+	pncA	P54T (CCG/ACG)	65	35	30		1	0		2,9%	0,0%				
+	pncA	H57Y (CAC/TAC)	65	35	30		0	0		0,0%	0,0%				
+	pncA	nt 172 del T	65	35	30		0	0		0,0%	0,0%				
+	pncA	nt 182 ins 5bp	65	35	30		0	0		0,0%	0,0%				
+	pncA	D63G (GAC/GGC)	65	35	30		0	0		0,0%	0,0%				
+	pncA	S66P (TCG/CCG)	65	35	30		0	0		0,0%	0,0%				
+	pncA	S67P (TCG/CCG)	65	35	30		0	0		0,0%	0,0%				
+	pncA	W68R (TGG/CGG)	65	35	30		0	0		0,0%	0,0%				
+	pncA	W68L (TGG/TTG)	65	35	30		0	0		0,0%	0,0%				
+	pncA	W68G (TGG/GGG)	65	35	30		0	0		0,0%	0,0%				
+	pncA	H71R (CAT/CGT)	65	35	30		0	0		0,0%	0,0%				
+	pncA	C72R (TGC/CGC)	65	35	30		1	0		2,9%	0,0%				
+	pncA	T76P (ACT/CCT)	65	35	30		0	0		0,0%	0,0%				
+	pncA	H82R (CAT/CGT)	65	35	30		0	0		0,0%	0,0%				
+	pncA	L85P (CTG/CCG)	65	35	30		1	0		2,9%	0,0%				
+	pncA	K96N (AAG/AAT)	65	35	30		2	0		5,7%	0,0%				
+	pncA	G97S (GGT/AGT)	65	35	30		0	0		0,0%	0,0%				
+	pncA	Y99STOP (TAC/TAG)	65	35	30		0	0		0,0%	0,0%				
+	pncA	A102V (GCG/GTG)	65	35	30		0	0		0,0%	0,0%				
+	pncA	Y103STOP (TAC/TAG)	65	35	30		0	0		0,0%	0,0%				
+	pncA	S104R (AGC/AGG)	65	35	30		0	0		0,0%	0,0%				
+	pncA	nt 315 ins G	65	35	30		0	0		0,0%	0,0%				
+	pncA	T114P (ACG/CCG)	65	35	30		0	0		0,0%	0,0%				
+	pncA	L116R (CTG/CGG)	65	35	30		0	0		0,0%	0,0%				
+	pncA	R121P (CGG/CCG)	65	35	30		1	0		2,9%	0,0%				
+	pncA	V128G (GTC/GGC)	65	35	30		0	0		0,0%	0,0%				
+	pncA	nt 388 ins AGGTCGATG	65	35	30		0	0		0,0%	0,0%				
+	pncA	nt 389 ins GG	65	35	30		0	0		0,0%	0,0%				
+	pncA	V130G (GTG/GGG)	65	35	30		0	0		0,0%	0,0%				
+	pncA	A134V (GCC/GTC)	65	35	30		0	0		0,0%	0,0%				
+	pncA	H137R (CAT/CGT)	65	35	30		0	0		0,0%	0,0%				
+	pncA	C138Y (TGT/TAT)	65	35	30		1	0		2,9%	0,0%				
+	pncA	V139M (GTG/ATG)	65	35	30		0	0		0,0%	0,0%				
+	pncA	V139L (GTG/CTG)	65	35	30		1	0		2,9%	0,0%				
+	pncA	V139A (GTG/GCG)	65	35	30		2	0		5,7%	0,0%				
+	pncA	R140S (CGC/AGC)	65	35	30		0	0		0,0%	0,0%				
+	pncA	Q141P (CAG/CCG)	65	35	30		0	0		0,0%	0,0%				
+	pncA	T142K (ACG/AAG)	65	35	30		3	0		8,6%	0,0%				
+	pncA	nt 446 del 8bp	65	35	30		0	0		0,0%	0,0%				
+	pncA	V155G (GTG/GGG)	65	35	30		0	0		0,0%	0,0%				
+	pncA	L159P (GTC/CCG)	65	35	30		0	0		0,0%	0,0%				
+	pncA	T160P (ACA/CCA)	65	35	30		0	0		0,0%	0,0%				
+	pncA	A161P (GCG/CCG)	65	35	30		0	0		0,0%	0,0%				
+	pncA	G162D (GGT/GAT)	65	35	30		0	0		0,0%	0,0%				
+	pncA	A171E (GCG/GAG)	65	35	30		0	0		0,0%	0,0%				
+	pncA	L172P (CTG/CCG)	65	35	30		0	0		0,0%	0,0%				
+	pncA	S185T (AGC/ACC)	65	35	30		0	0		0,0%	0,0%				
+	N/A	Other	65	35	30		14	0		40,0%	0,0%			14 isolates had 14 different other mutations.	
+	N/A	None detected	65	35	30		3	30		8,6%	100,0%				
+				
+															
+															
+															
+															
+															
\ No newline at end of file
diff --git a/other/tbdr/tbdr_muts_all.txt b/other/tbdr/tbdr_muts_all.txt
new file mode 100644
index 0000000..e9ffa95
--- /dev/null
+++ b/other/tbdr/tbdr_muts_all.txt
@@ -0,0 +1,1228 @@
+Amikacin	rrs	Rvnr01	1401	A	G
+Amikacin	rrs	Rvnr01	1402	C	A
+Amikacin	rrs	Rvnr01	1402	C	T
+Amikacin	rrs	Rvnr01	1484	G	T
+Amikacin	tlyA	Rv1694	3	R	*
+Amikacin	tlyA	Rv1694	7	X	*
+Amikacin	tlyA	Rv1694	8	X	*
+Amikacin	tlyA	Rv1694	14	R	W
+Amikacin	tlyA	Rv1694	18	R	*
+Amikacin	tlyA	Rv1694	22	Q	*
+Amikacin	tlyA	Rv1694	23	X	A
+Amikacin	tlyA	Rv1694	67	A	E
+Amikacin	tlyA	Rv1694	69	K	E
+Amikacin	tlyA	Rv1694	72	X	*
+Amikacin	tlyA	Rv1694	91	A	E
+Amikacin	tlyA	Rv1694	103	X	*
+Amikacin	tlyA	Rv1694	118	L	P
+Amikacin	tlyA	Rv1694	128	V	E
+Amikacin	tlyA	Rv1694	132	X	*
+Amikacin	tlyA	Rv1694	133	X	*
+Amikacin	tlyA	Rv1694	150	L	P
+Amikacin	tlyA	Rv1694	159	X	*
+Amikacin	tlyA	Rv1694	183	P	L
+Amikacin	tlyA	Rv1694	184	Q	*
+Amikacin	tlyA	Rv1694	185	F	L
+Amikacin	tlyA	Rv1694	195	X	*
+Amikacin	tlyA	Rv1694	217	X	*
+Amikacin	tlyA	Rv1694	218	X	*
+Amikacin	tlyA	Rv1694	224	X	*
+Amikacin	tlyA	Rv1694	236	N	K
+Amikacin	tlyA	Rv1694	238	E	K
+Amikacin	tlyA	Rv1694	252	X	*
+Capreomycin	rrs	Rvnr01	1401	A	G
+Capreomycin	rrs	Rvnr01	1402	C	A
+Capreomycin	rrs	Rvnr01	1402	C	T
+Capreomycin	rrs	Rvnr01	1484	G	T
+Capreomycin	tlyA	Rv1694	3	R	*
+Capreomycin	tlyA	Rv1694	7	X	*
+Capreomycin	tlyA	Rv1694	8	X	*
+Capreomycin	tlyA	Rv1694	14	R	W
+Capreomycin	tlyA	Rv1694	18	R	*
+Capreomycin	tlyA	Rv1694	22	Q	*
+Capreomycin	tlyA	Rv1694	23	X	A
+Capreomycin	tlyA	Rv1694	67	A	E
+Capreomycin	tlyA	Rv1694	69	K	E
+Capreomycin	tlyA	Rv1694	72	X	*
+Capreomycin	tlyA	Rv1694	91	A	E
+Capreomycin	tlyA	Rv1694	103	X	*
+Capreomycin	tlyA	Rv1694	118	L	P
+Capreomycin	tlyA	Rv1694	128	V	E
+Capreomycin	tlyA	Rv1694	132	X	*
+Capreomycin	tlyA	Rv1694	133	X	*
+Capreomycin	tlyA	Rv1694	150	L	P
+Capreomycin	tlyA	Rv1694	159	X	*
+Capreomycin	tlyA	Rv1694	183	P	L
+Capreomycin	tlyA	Rv1694	184	Q	*
+Capreomycin	tlyA	Rv1694	185	F	L
+Capreomycin	tlyA	Rv1694	195	X	*
+Capreomycin	tlyA	Rv1694	217	X	*
+Capreomycin	tlyA	Rv1694	218	X	*
+Capreomycin	tlyA	Rv1694	224	X	*
+Capreomycin	tlyA	Rv1694	236	N	K
+Capreomycin	tlyA	Rv1694	238	E	K
+Capreomycin	tlyA	Rv1694	252	X	*
+Ciprofloxacin	gyrA	Rv0006	74	A	S
+Ciprofloxacin	gyrA	Rv0006	80	T	A
+Ciprofloxacin	gyrA	Rv0006	88	G	A
+Ciprofloxacin	gyrA	Rv0006	89	D	N
+Ciprofloxacin	gyrA	Rv0006	90	A	G
+Ciprofloxacin	gyrA	Rv0006	90	A	V
+Ciprofloxacin	gyrA	Rv0006	91	S	P
+Ciprofloxacin	gyrA	Rv0006	94	D	A
+Ciprofloxacin	gyrA	Rv0006	94	D	F
+Ciprofloxacin	gyrA	Rv0006	94	D	G
+Ciprofloxacin	gyrA	Rv0006	94	D	H
+Ciprofloxacin	gyrA	Rv0006	94	D	N
+Ciprofloxacin	gyrA	Rv0006	94	D	V
+Ciprofloxacin	gyrA	Rv0006	94	D	Y
+Ciprofloxacin	gyrA	Rv0006	95	S	T
+Ciprofloxacin	gyrA	Rv0006	102	P	H
+Ciprofloxacin	gyrA	Rv0006	109	L	V
+Ciprofloxacin	gyrB	Rv0005	457	R	C
+Ciprofloxacin	gyrB	Rv0005	458	S	F
+Ciprofloxacin	gyrB	Rv0005	472	D	A
+Ciprofloxacin	gyrB	Rv0005	472	D	H
+Ciprofloxacin	gyrB	Rv0005	472	D	N
+Ciprofloxacin	gyrB	Rv0005	481	G	A
+Ciprofloxacin	gyrB	Rv0005	505	D	A
+Ciprofloxacin	gyrB	Rv0005	510	N	D
+Ciprofloxacin	gyrB	Rv0005	510	N	T
+Ciprofloxacin	gyrB	Rv0005	510	Q	K
+Ciprofloxacin	gyrB	Rv0005	511	T	P
+Ciprofloxacin	gyrB	Rv0005	512	E	D
+Ciprofloxacin	gyrB	Rv0005	512	E	V
+Ciprofloxacin	gyrB	Rv0005	515	A	T
+Ciprofloxacin	gyrB	Rv0005	515	A	V
+Ciprofloxacin	gyrB	Rv0005	549	Q	H
+Ethambutol	Rv0340	Rv0340	173	T	M
+Ethambutol	Rv3124	Rv3124	-16	A	G
+Ethambutol	Rv3125	Rv3125	54	P	S
+Ethambutol	Rv3126	Rv3126	276	L	R
+Ethambutol	embA	Rv3794	-16	C	T
+Ethambutol	embA	Rv3794	-12	C	T
+Ethambutol	embA	Rv3794	-11	C	A
+Ethambutol	embA	Rv3794	4	D	N
+Ethambutol	embA	Rv3794	201	A	T
+Ethambutol	embA	Rv3794	321	G	S
+Ethambutol	embA	Rv3794	350	G	D
+Ethambutol	embA	Rv3794	462	A	V
+Ethambutol	embA	Rv3794	833	D	A
+Ethambutol	embA	Rv3794	913	P	S
+Ethambutol	embB	Rv3795	128	V	G
+Ethambutol	embB	Rv3795	221	A	G
+Ethambutol	embB	Rv3795	225	A	S
+Ethambutol	embB	Rv3795	227	V	G
+Ethambutol	embB	Rv3795	239	L	P
+Ethambutol	embB	Rv3795	240	D	H
+Ethambutol	embB	Rv3795	257	R	W
+Ethambutol	embB	Rv3795	271	A	V
+Ethambutol	embB	Rv3795	272	S	C
+Ethambutol	embB	Rv3795	272	S	I
+Ethambutol	embB	Rv3795	274	R	P
+Ethambutol	embB	Rv3795	281	A	P
+Ethambutol	embB	Rv3795	281	F	L
+Ethambutol	embB	Rv3795	282	V	G
+Ethambutol	embB	Rv3795	282	V	L
+Ethambutol	embB	Rv3795	285	F	L
+Ethambutol	embB	Rv3795	287	F	C
+Ethambutol	embB	Rv3795	287	F	V
+Ethambutol	embB	Rv3795	293	I	N
+Ethambutol	embB	Rv3795	294	G	S
+Ethambutol	embB	Rv3795	296	N	K
+Ethambutol	embB	Rv3795	297	S	A
+Ethambutol	embB	Rv3795	297	S	L
+Ethambutol	embB	Rv3795	299	D	E
+Ethambutol	embB	Rv3795	306	M	I
+Ethambutol	embB	Rv3795	306	M	L
+Ethambutol	embB	Rv3795	306	M	T
+Ethambutol	embB	Rv3795	306	M	V
+Ethambutol	embB	Rv3795	309	V	G
+Ethambutol	embB	Rv3795	310	A	R
+Ethambutol	embB	Rv3795	311	D	H
+Ethambutol	embB	Rv3795	311	D	R
+Ethambutol	embB	Rv3795	312	H	R
+Ethambutol	embB	Rv3795	314	G	A
+Ethambutol	embB	Rv3795	314	G	E
+Ethambutol	embB	Rv3795	315	Y	L
+Ethambutol	embB	Rv3795	317	S	T
+Ethambutol	embB	Rv3795	318	N	H
+Ethambutol	embB	Rv3795	318	N	K
+Ethambutol	embB	Rv3795	318	N	S
+Ethambutol	embB	Rv3795	319	Y	C
+Ethambutol	embB	Rv3795	319	Y	N
+Ethambutol	embB	Rv3795	319	Y	S
+Ethambutol	embB	Rv3795	322	Y	C
+Ethambutol	embB	Rv3795	328	D	G
+Ethambutol	embB	Rv3795	328	D	V
+Ethambutol	embB	Rv3795	328	D	Y
+Ethambutol	embB	Rv3795	328	X	*
+Ethambutol	embB	Rv3795	330	F	V
+Ethambutol	embB	Rv3795	331	D	Y
+Ethambutol	embB	Rv3795	331	G	R
+Ethambutol	embB	Rv3795	332	W	L
+Ethambutol	embB	Rv3795	333	Y	H
+Ethambutol	embB	Rv3795	334	Y	H
+Ethambutol	embB	Rv3795	347	S	I
+Ethambutol	embB	Rv3795	347	S	T
+Ethambutol	embB	Rv3795	356	A	F
+Ethambutol	embB	Rv3795	356	A	S
+Ethambutol	embB	Rv3795	356	A	V
+Ethambutol	embB	Rv3795	357	A	S
+Ethambutol	embB	Rv3795	357	A	V
+Ethambutol	embB	Rv3795	358	G	V
+Ethambutol	embB	Rv3795	359	L	I
+Ethambutol	embB	Rv3795	360	V	M
+Ethambutol	embB	Rv3795	366	S	P
+Ethambutol	embB	Rv3795	367	R	P
+Ethambutol	embB	Rv3795	368	E	A
+Ethambutol	embB	Rv3795	368	E	D
+Ethambutol	embB	Rv3795	368	E	Q
+Ethambutol	embB	Rv3795	369	V	A
+Ethambutol	embB	Rv3795	369	V	L
+Ethambutol	embB	Rv3795	370	L	R
+Ethambutol	embB	Rv3795	371	P	R
+Ethambutol	embB	Rv3795	374	G	V
+Ethambutol	embB	Rv3795	375	P	A
+Ethambutol	embB	Rv3795	377	V	G
+Ethambutol	embB	Rv3795	377	V	M
+Ethambutol	embB	Rv3795	378	E	A
+Ethambutol	embB	Rv3795	378	E	K
+Ethambutol	embB	Rv3795	379	A	D
+Ethambutol	embB	Rv3795	379	A	T
+Ethambutol	embB	Rv3795	380	S	D
+Ethambutol	embB	Rv3795	380	S	R
+Ethambutol	embB	Rv3795	384	Y	N
+Ethambutol	embB	Rv3795	388	A	G
+Ethambutol	embB	Rv3795	395	W	C
+Ethambutol	embB	Rv3795	395	W	R
+Ethambutol	embB	Rv3795	397	P	Q
+Ethambutol	embB	Rv3795	397	P	T
+Ethambutol	embB	Rv3795	398	F	H
+Ethambutol	embB	Rv3795	398	F	Y
+Ethambutol	embB	Rv3795	399	N	D
+Ethambutol	embB	Rv3795	399	N	H
+Ethambutol	embB	Rv3795	400	N	K
+Ethambutol	embB	Rv3795	400	N	P
+Ethambutol	embB	Rv3795	401	G	S
+Ethambutol	embB	Rv3795	405	E	P
+Ethambutol	embB	Rv3795	406	G	A
+Ethambutol	embB	Rv3795	406	G	C
+Ethambutol	embB	Rv3795	406	G	D
+Ethambutol	embB	Rv3795	406	G	P
+Ethambutol	embB	Rv3795	406	G	S
+Ethambutol	embB	Rv3795	423	M	I
+Ethambutol	embB	Rv3795	430	P	L
+Ethambutol	embB	Rv3795	431	A	T
+Ethambutol	embB	Rv3795	434	R	G
+Ethambutol	embB	Rv3795	435	V	G
+Ethambutol	embB	Rv3795	436	V	G
+Ethambutol	embB	Rv3795	437	T	A
+Ethambutol	embB	Rv3795	446	P	H
+Ethambutol	embB	Rv3795	448	G	V
+Ethambutol	embB	Rv3795	452	V	L
+Ethambutol	embB	Rv3795	459	G	A
+Ethambutol	embB	Rv3795	460	R	C
+Ethambutol	embB	Rv3795	460	R	L
+Ethambutol	embB	Rv3795	461	P	S
+Ethambutol	embB	Rv3795	465	I	D
+Ethambutol	embB	Rv3795	469	R	P
+Ethambutol	embB	Rv3795	471	R	P
+Ethambutol	embB	Rv3795	497	Q	K
+Ethambutol	embB	Rv3795	497	Q	R
+Ethambutol	embB	Rv3795	630	T	I
+Ethambutol	embB	Rv3795	659	A	T
+Ethambutol	embB	Rv3795	745	G	D
+Ethambutol	embB	Rv3795	959	D	A
+Ethambutol	embB	Rv3795	1000	M	R
+Ethambutol	embB	Rv3795	1024	D	N
+Ethambutol	embC	Rv3793	5	G	S
+Ethambutol	embC	Rv3793	244	A	T
+Ethambutol	embC	Rv3793	247	A	P
+Ethambutol	embC	Rv3793	251	L	R
+Ethambutol	embC	Rv3793	254	A	G
+Ethambutol	embC	Rv3793	270	T	I
+Ethambutol	embC	Rv3793	272	G	S
+Ethambutol	embC	Rv3793	285	H	Y
+Ethambutol	embC	Rv3793	287	V	F
+Ethambutol	embC	Rv3793	288	G	V
+Ethambutol	embC	Rv3793	288	G	W
+Ethambutol	embC	Rv3793	296	Y	H
+Ethambutol	embC	Rv3793	296	Y	S
+Ethambutol	embC	Rv3793	297	I	L
+Ethambutol	embC	Rv3793	297	I	T
+Ethambutol	embC	Rv3793	300	M	R
+Ethambutol	embC	Rv3793	302	R	G
+Ethambutol	embC	Rv3793	303	V	G
+Ethambutol	embC	Rv3793	307	A	T
+Ethambutol	embC	Rv3793	308	G	D
+Ethambutol	embC	Rv3793	309	Y	N
+Ethambutol	embC	Rv3793	310	M	K
+Ethambutol	embC	Rv3793	325	G	S
+Ethambutol	embC	Rv3793	326	W	R
+Ethambutol	embC	Rv3793	327	Y	N
+Ethambutol	embC	Rv3793	394	N	D
+Ethambutol	embC	Rv3793	738	R	Q
+Ethambutol	embC	Rv3793	981	V	L
+Ethambutol	embR	Rv1267c	7	V	G
+Ethambutol	embR	Rv1267c	32	T	P
+Ethambutol	embR	Rv1267c	53	D	H
+Ethambutol	embR	Rv1267c	110	C	Y
+Ethambutol	embR	Rv1267c	172	L	R
+Ethambutol	embR	Rv1267c	176	A	V
+Ethambutol	embR	Rv1267c	186	R	G
+Ethambutol	embR	Rv1267c	187	A	V
+Ethambutol	embR	Rv1267c	188	S	R
+Ethambutol	embR	Rv1267c	200	E	A
+Ethambutol	embR	Rv1267c	211	L	M
+Ethambutol	embR	Rv1267c	223	D	E
+Ethambutol	embR	Rv1267c	230	R	W
+Ethambutol	embR	Rv1267c	240	G	R
+Ethambutol	embR	Rv1267c	292	L	M
+Ethambutol	embR	Rv1267c	303	L	E
+Ethambutol	embR	Rv1267c	320	L	V
+Ethambutol	embR	Rv1267c	326	S	N
+Ethambutol	embR	Rv1267c	350	V	G
+Ethambutol	embR	Rv1267c	351	H	E
+Ethambutol	embR	Rv1267c	356	R	G
+Ethambutol	embR	Rv1267c	369	I	T
+Ethambutol	embR	Rv1267c	379	Q	R
+Ethambutol	embR	Rv1267c	396	I	T
+Ethambutol	iniA	Rv0342	308	G	R
+Ethambutol	iniA	Rv0342	501	S	W
+Ethambutol	iniB	Rv0341	-89	C	T
+Ethambutol	iniB	Rv0341	47	A	T
+Ethambutol	iniC	Rv0343	248	P	A
+Ethambutol	iniC	Rv0343	351	Q	*
+Ethambutol	rmlA2	Rv3264c	152	D	N
+Ethambutol	rmlD	Rv3266c	-71	G	T
+Ethambutol	rmlD	Rv3266c	257	S	P
+Ethambutol	rmlD	Rv3266c	284	T	K
+Ethionamide	ethA	Rv3854c	21	X	*
+Ethionamide	ethA	Rv3854c	36	X	*
+Ethionamide	ethA	Rv3854c	43	G	C
+Ethionamide	ethA	Rv3854c	43	G	S
+Ethionamide	ethA	Rv3854c	51	P	L
+Ethionamide	ethA	Rv3854c	55	D	A
+Ethionamide	ethA	Rv3854c	58	D	A
+Ethionamide	ethA	Rv3854c	84	Y	D
+Ethionamide	ethA	Rv3854c	112	X	*
+Ethionamide	ethA	Rv3854c	186	T	K
+Ethionamide	ethA	Rv3854c	223	E	K
+Ethionamide	ethA	Rv3854c	234	X	*
+Ethionamide	ethA	Rv3854c	246	Q	*
+Ethionamide	ethA	Rv3854c	256	X	*
+Ethionamide	ethA	Rv3854c	270	X	*
+Ethionamide	ethA	Rv3854c	338	I	S
+Ethionamide	ethA	Rv3854c	342	T	K
+Ethionamide	ethA	Rv3854c	381	A	P
+Ethionamide	ethA	Rv3854c	385	G	D
+Ethionamide	ethA	Rv3854c	392	T	A
+Ethionamide	ethA	Rv3854c	413	G	D
+Ethionamide	ethA	Rv3854c	430	X	*
+Ethionamide	ethA	Rv3854c	440	X	*
+Ethionamide	ethA	Rv3854c	463	R	S
+Ethionamide	fabG1-inhA	Rv1483	-17	G	T
+Ethionamide	fabG1-inhA	Rv1483	-15	C	T
+Ethionamide	inhA	Rv1484	94	S	A
+Ethionamide	inhA	Rv1484	95	I	P
+Isoniazid	Rv0340	Rv0340	163	V	I
+Isoniazid	Rv1592c	Rv1592c	-29	G	A
+Isoniazid	Rv1592c	Rv1592c	42	P	L
+Isoniazid	Rv1592c	Rv1592c	430	V	A
+Isoniazid	Rv1772	Rv1772	4	T	A
+Isoniazid	accD6	Rv2247	229	D	G
+Isoniazid	ahpC	Rv2428	-66	G	A
+Isoniazid	ahpC	Rv2428	-49	T	G
+Isoniazid	ahpC	Rv2428	-46	G	A
+Isoniazid	ahpC	Rv2428	-44	T	A
+Isoniazid	ahpC	Rv2428	-40	T	C
+Isoniazid	ahpC	Rv2428	-39	C	T
+Isoniazid	ahpC	Rv2428	-34	T	A
+Isoniazid	ahpC	Rv2428	-32	C	T
+Isoniazid	ahpC	Rv2428	-32	G	A
+Isoniazid	ahpC	Rv2428	-30	C	T
+Isoniazid	ahpC	Rv2428	-20	C	T
+Isoniazid	ahpC	Rv2428	-12	C	T
+Isoniazid	ahpC	Rv2428	-9	G	A
+Isoniazid	ahpC	Rv2428	-6	G	A
+Isoniazid	ahpC	Rv2428	-5	G	A
+Isoniazid	ahpC	Rv2428	2	P	S
+Isoniazid	ahpC	Rv2428	3	L	K
+Isoniazid	ahpC	Rv2428	5	T	I
+Isoniazid	ahpC	Rv2428	10	F	I
+Isoniazid	ahpC	Rv2428	33	D	N
+Isoniazid	ahpC	Rv2428	73	D	H
+Isoniazid	ahpC	Rv2428	76	E	K
+Isoniazid	ahpC	Rv2428	191	L	R
+Isoniazid	efpA	Rv2846c	73	I	T
+Isoniazid	embB	Rv3795	333	Y	H
+Isoniazid	fabD	Rv2243	275	S	N
+Isoniazid	fabG1-inhA	Rv1483	-92	A	T
+Isoniazid	fabG1-inhA	Rv1483	-67	G	C
+Isoniazid	fabG1-inhA	Rv1483	-24	G	T
+Isoniazid	fabG1-inhA	Rv1483	-17	G	T
+Isoniazid	fabG1-inhA	Rv1483	-15	C	T
+Isoniazid	fabG1-inhA	Rv1483	-8	T	A
+Isoniazid	fabG1-inhA	Rv1483	-8	T	C
+Isoniazid	fabG1-inhA	Rv1483	-8	T	G
+Isoniazid	fabG1-inhA	Rv1483	-5	T	A
+Isoniazid	fabG1-inhA	Rv1483	5	A	P
+Isoniazid	fabG1-inhA	Rv1483	14	V	L
+Isoniazid	fabG1-inhA	Rv1483	21	T	A
+Isoniazid	fbpC	Rv0129c	-63	C	T
+Isoniazid	fbpC	Rv0129c	-23	A	C
+Isoniazid	fbpC	Rv0129c	158	G	S
+Isoniazid	furA	Rv1909c	5	S	P
+Isoniazid	inhA	Rv1484	8	K	N
+Isoniazid	inhA	Rv1484	16	I	T
+Isoniazid	inhA	Rv1484	21	I	T
+Isoniazid	inhA	Rv1484	21	I	V
+Isoniazid	inhA	Rv1484	47	I	T
+Isoniazid	inhA	Rv1484	78	V	A
+Isoniazid	inhA	Rv1484	94	S	A
+Isoniazid	inhA	Rv1484	94	S	L
+Isoniazid	inhA	Rv1484	95	I	P
+Isoniazid	inhA	Rv1484	95	I	T
+Isoniazid	inhA	Rv1484	194	I	T
+Isoniazid	inhA	Rv1484	202	R	G
+Isoniazid	inhA	Rv1484	217	E	D
+Isoniazid	iniA	Rv0342	3	P	A
+Isoniazid	iniA	Rv0342	94	X	*
+Isoniazid	iniA	Rv0342	537	R	H
+Isoniazid	iniC	Rv0343	83	W	G
+Isoniazid	kasA	Rv2245	66	D	N
+Isoniazid	kasA	Rv2245	77	M	I
+Isoniazid	kasA	Rv2245	121	R	K
+Isoniazid	kasA	Rv2245	269	G	S
+Isoniazid	kasA	Rv2245	312	G	S
+Isoniazid	kasA	Rv2245	387	G	D
+Isoniazid	kasA	Rv2245	413	F	L
+Isoniazid	katG	Rv1908c	1	V	A
+Isoniazid	katG	Rv1908c	1	V	L
+Isoniazid	katG	Rv1908c	2	P	S
+Isoniazid	katG	Rv1908c	10	X	*
+Isoniazid	katG	Rv1908c	11	T	A
+Isoniazid	katG	Rv1908c	12	T	P
+Isoniazid	katG	Rv1908c	17	S	N
+Isoniazid	katG	Rv1908c	19	G	D
+Isoniazid	katG	Rv1908c	33	X	*
+Isoniazid	katG	Rv1908c	35	N	D
+Isoniazid	katG	Rv1908c	37	X	*
+Isoniazid	katG	Rv1908c	38	W	*
+Isoniazid	katG	Rv1908c	48	L	Q
+Isoniazid	katG	Rv1908c	50	X	*
+Isoniazid	katG	Rv1908c	61	A	T
+Isoniazid	katG	Rv1908c	62	X	*
+Isoniazid	katG	Rv1908c	63	D	E
+Isoniazid	katG	Rv1908c	65	A	T
+Isoniazid	katG	Rv1908c	65	X	*
+Isoniazid	katG	Rv1908c	66	A	P
+Isoniazid	katG	Rv1908c	71	I	N
+Isoniazid	katG	Rv1908c	72	D	G
+Isoniazid	katG	Rv1908c	72	D	K
+Isoniazid	katG	Rv1908c	73	D	N
+Isoniazid	katG	Rv1908c	74	D	G
+Isoniazid	katG	Rv1908c	74	D	Y
+Isoniazid	katG	Rv1908c	84	M	I
+Isoniazid	katG	Rv1908c	85	T	P
+Isoniazid	katG	Rv1908c	88	Q	R
+Isoniazid	katG	Rv1908c	90	W	*
+Isoniazid	katG	Rv1908c	91	W	R
+Isoniazid	katG	Rv1908c	94	D	A
+Isoniazid	katG	Rv1908c	94	D	G
+Isoniazid	katG	Rv1908c	96	G	C
+Isoniazid	katG	Rv1908c	99	G	E
+Isoniazid	katG	Rv1908c	104	R	L
+Isoniazid	katG	Rv1908c	104	R	Q
+Isoniazid	katG	Rv1908c	106	A	V
+Isoniazid	katG	Rv1908c	107	W	*
+Isoniazid	katG	Rv1908c	107	W	R
+Isoniazid	katG	Rv1908c	108	H	D
+Isoniazid	katG	Rv1908c	108	H	E
+Isoniazid	katG	Rv1908c	108	H	Q
+Isoniazid	katG	Rv1908c	109	A	V
+Isoniazid	katG	Rv1908c	110	A	V
+Isoniazid	katG	Rv1908c	113	X	*
+Isoniazid	katG	Rv1908c	117	D	A
+Isoniazid	katG	Rv1908c	120	X	*
+Isoniazid	katG	Rv1908c	121	G	C
+Isoniazid	katG	Rv1908c	121	G	V
+Isoniazid	katG	Rv1908c	122	X	*
+Isoniazid	katG	Rv1908c	123	X	*
+Isoniazid	katG	Rv1908c	124	X	*
+Isoniazid	katG	Rv1908c	125	G	C
+Isoniazid	katG	Rv1908c	125	X	H
+Isoniazid	katG	Rv1908c	126	M	I
+Isoniazid	katG	Rv1908c	127	Q	P
+Isoniazid	katG	Rv1908c	128	R	P
+Isoniazid	katG	Rv1908c	138	N	D
+Isoniazid	katG	Rv1908c	138	N	H
+Isoniazid	katG	Rv1908c	138	N	S
+Isoniazid	katG	Rv1908c	138	N	T
+Isoniazid	katG	Rv1908c	139	A	P
+Isoniazid	katG	Rv1908c	140	S	A
+Isoniazid	katG	Rv1908c	140	S	G
+Isoniazid	katG	Rv1908c	140	S	N
+Isoniazid	katG	Rv1908c	140	S	R
+Isoniazid	katG	Rv1908c	141	L	F
+Isoniazid	katG	Rv1908c	142	D	A
+Isoniazid	katG	Rv1908c	143	K	T
+Isoniazid	katG	Rv1908c	148	L	A
+Isoniazid	katG	Rv1908c	148	L	R
+Isoniazid	katG	Rv1908c	150	L	A
+Isoniazid	katG	Rv1908c	155	Y	C
+Isoniazid	katG	Rv1908c	155	Y	S
+Isoniazid	katG	Rv1908c	160	S	L
+Isoniazid	katG	Rv1908c	162	A	T
+Isoniazid	katG	Rv1908c	169	G	A
+Isoniazid	katG	Rv1908c	172	A	T
+Isoniazid	katG	Rv1908c	172	A	V
+Isoniazid	katG	Rv1908c	176	M	I
+Isoniazid	katG	Rv1908c	180	T	C
+Isoniazid	katG	Rv1908c	180	T	K
+Isoniazid	katG	Rv1908c	186	G	H
+Isoniazid	katG	Rv1908c	186	G	V
+Isoniazid	katG	Rv1908c	191	W	R
+Isoniazid	katG	Rv1908c	191	X	*
+Isoniazid	katG	Rv1908c	195	E	K
+Isoniazid	katG	Rv1908c	198	W	*
+Isoniazid	katG	Rv1908c	200	K	*
+Isoniazid	katG	Rv1908c	204	W	R
+Isoniazid	katG	Rv1908c	217	X	*
+Isoniazid	katG	Rv1908c	218	N	K
+Isoniazid	katG	Rv1908c	224	Q	E
+Isoniazid	katG	Rv1908c	229	Y	F
+Isoniazid	katG	Rv1908c	230	V	A
+Isoniazid	katG	Rv1908c	234	G	E
+Isoniazid	katG	Rv1908c	234	G	R
+Isoniazid	katG	Rv1908c	236	N	T
+Isoniazid	katG	Rv1908c	238	N	K
+Isoniazid	katG	Rv1908c	241	P	P
+Isoniazid	katG	Rv1908c	243	A	S
+Isoniazid	katG	Rv1908c	249	R	C
+Isoniazid	katG	Rv1908c	251	T	M
+Isoniazid	katG	Rv1908c	252	F	L
+Isoniazid	katG	Rv1908c	257	M	I
+Isoniazid	katG	Rv1908c	257	M	T
+Isoniazid	katG	Rv1908c	258	N	S
+Isoniazid	katG	Rv1908c	262	T	R
+Isoniazid	katG	Rv1908c	264	A	T
+Isoniazid	katG	Rv1908c	268	X	*
+Isoniazid	katG	Rv1908c	275	T	A
+Isoniazid	katG	Rv1908c	275	T	P
+Isoniazid	katG	Rv1908c	275	T	S
+Isoniazid	katG	Rv1908c	279	G	D
+Isoniazid	katG	Rv1908c	280	P	H
+Isoniazid	katG	Rv1908c	281	A	V
+Isoniazid	katG	Rv1908c	285	G	D
+Isoniazid	katG	Rv1908c	289	E	D
+Isoniazid	katG	Rv1908c	289	X	*
+Isoniazid	katG	Rv1908c	291	A	P
+Isoniazid	katG	Rv1908c	295	Q	P
+Isoniazid	katG	Rv1908c	297	G	V
+Isoniazid	katG	Rv1908c	299	G	A
+Isoniazid	katG	Rv1908c	299	G	C
+Isoniazid	katG	Rv1908c	300	W	*
+Isoniazid	katG	Rv1908c	300	W	G
+Isoniazid	katG	Rv1908c	301	X	*
+Isoniazid	katG	Rv1908c	302	S	R
+Isoniazid	katG	Rv1908c	304	Y	S
+Isoniazid	katG	Rv1908c	305	G	A
+Isoniazid	katG	Rv1908c	307	G	A
+Isoniazid	katG	Rv1908c	307	G	E
+Isoniazid	katG	Rv1908c	307	G	R
+Isoniazid	katG	Rv1908c	308	T	P
+Isoniazid	katG	Rv1908c	309	G	C
+Isoniazid	katG	Rv1908c	309	G	D
+Isoniazid	katG	Rv1908c	309	G	F
+Isoniazid	katG	Rv1908c	309	G	S
+Isoniazid	katG	Rv1908c	310	X	*
+Isoniazid	katG	Rv1908c	311	D	E
+Isoniazid	katG	Rv1908c	311	D	F
+Isoniazid	katG	Rv1908c	311	D	G
+Isoniazid	katG	Rv1908c	311	D	Y
+Isoniazid	katG	Rv1908c	314	S	N
+Isoniazid	katG	Rv1908c	314	S	T
+Isoniazid	katG	Rv1908c	315	S	G
+Isoniazid	katG	Rv1908c	315	S	I
+Isoniazid	katG	Rv1908c	315	S	L
+Isoniazid	katG	Rv1908c	315	S	N
+Isoniazid	katG	Rv1908c	315	S	R
+Isoniazid	katG	Rv1908c	315	S	T
+Isoniazid	katG	Rv1908c	316	G	D
+Isoniazid	katG	Rv1908c	316	G	S
+Isoniazid	katG	Rv1908c	317	I	L
+Isoniazid	katG	Rv1908c	318	G	V
+Isoniazid	katG	Rv1908c	321	W	*
+Isoniazid	katG	Rv1908c	321	W	C
+Isoniazid	katG	Rv1908c	321	W	L
+Isoniazid	katG	Rv1908c	321	W	R
+Isoniazid	katG	Rv1908c	321	W	S
+Isoniazid	katG	Rv1908c	324	T	P
+Isoniazid	katG	Rv1908c	328	W	C
+Isoniazid	katG	Rv1908c	328	W	G
+Isoniazid	katG	Rv1908c	328	W	L
+Isoniazid	katG	Rv1908c	328	W	S
+Isoniazid	katG	Rv1908c	331	S	C
+Isoniazid	katG	Rv1908c	334	I	T
+Isoniazid	katG	Rv1908c	335	I	T
+Isoniazid	katG	Rv1908c	335	I	V
+Isoniazid	katG	Rv1908c	336	L	R
+Isoniazid	katG	Rv1908c	337	Y	C
+Isoniazid	katG	Rv1908c	337	Y	F
+Isoniazid	katG	Rv1908c	341	W	S
+Isoniazid	katG	Rv1908c	345	K	T
+Isoniazid	katG	Rv1908c	346	X	*
+Isoniazid	katG	Rv1908c	350	A	S
+Isoniazid	katG	Rv1908c	350	A	T
+Isoniazid	katG	Rv1908c	352	Q	*
+Isoniazid	katG	Rv1908c	357	D	H
+Isoniazid	katG	Rv1908c	357	D	N
+Isoniazid	katG	Rv1908c	361	A	D
+Isoniazid	katG	Rv1908c	364	X	*
+Isoniazid	katG	Rv1908c	378	L	P
+Isoniazid	katG	Rv1908c	379	A	V
+Isoniazid	katG	Rv1908c	380	T	I
+Isoniazid	katG	Rv1908c	381	D	G
+Isoniazid	katG	Rv1908c	384	L	R
+Isoniazid	katG	Rv1908c	390	T	I
+Isoniazid	katG	Rv1908c	390	X	L
+Isoniazid	katG	Rv1908c	393	I	N
+Isoniazid	katG	Rv1908c	394	T	A
+Isoniazid	katG	Rv1908c	397	W	*
+Isoniazid	katG	Rv1908c	401	X	*
+Isoniazid	katG	Rv1908c	409	A	D
+Isoniazid	katG	Rv1908c	409	A	R
+Isoniazid	katG	Rv1908c	413	Y	H
+Isoniazid	katG	Rv1908c	414	K	N
+Isoniazid	katG	Rv1908c	418	R	L
+Isoniazid	katG	Rv1908c	418	R	Q
+Isoniazid	katG	Rv1908c	419	D	H
+Isoniazid	katG	Rv1908c	424	A	E
+Isoniazid	katG	Rv1908c	424	A	V
+Isoniazid	katG	Rv1908c	429	P	S
+Isoniazid	katG	Rv1908c	434	Q	*
+Isoniazid	katG	Rv1908c	438	X	*
+Isoniazid	katG	Rv1908c	444	A	T
+Isoniazid	katG	Rv1908c	449	L	F
+Isoniazid	katG	Rv1908c	454	E	R
+Isoniazid	katG	Rv1908c	457	S	I
+Isoniazid	katG	Rv1908c	462	I	T
+Isoniazid	katG	Rv1908c	463	R	L
+Isoniazid	katG	Rv1908c	477	W	*
+Isoniazid	katG	Rv1908c	484	R	S
+Isoniazid	katG	Rv1908c	485	G	V
+Isoniazid	katG	Rv1908c	488	K	N
+Isoniazid	katG	Rv1908c	490	R	C
+Isoniazid	katG	Rv1908c	491	G	C
+Isoniazid	katG	Rv1908c	502	Q	H
+Isoniazid	katG	Rv1908c	505	W	R
+Isoniazid	katG	Rv1908c	505	W	S
+Isoniazid	katG	Rv1908c	511	X	*
+Isoniazid	katG	Rv1908c	513	X	*
+Isoniazid	katG	Rv1908c	515	R	C
+Isoniazid	katG	Rv1908c	521	X	*
+Isoniazid	katG	Rv1908c	525	Q	P
+Isoniazid	katG	Rv1908c	529	N	D
+Isoniazid	katG	Rv1908c	550	A	D
+Isoniazid	katG	Rv1908c	551	A	G
+Isoniazid	katG	Rv1908c	556	X	*
+Isoniazid	katG	Rv1908c	567	F	S
+Isoniazid	katG	Rv1908c	573	D	N
+Isoniazid	katG	Rv1908c	574	A	E
+Isoniazid	katG	Rv1908c	574	A	V
+Isoniazid	katG	Rv1908c	587	L	I
+Isoniazid	katG	Rv1908c	587	L	M
+Isoniazid	katG	Rv1908c	587	L	P
+Isoniazid	katG	Rv1908c	589	P	T
+Isoniazid	katG	Rv1908c	593	G	D
+Isoniazid	katG	Rv1908c	607	E	K
+Isoniazid	katG	Rv1908c	609	M	I
+Isoniazid	katG	Rv1908c	617	X	*
+Isoniazid	katG	Rv1908c	619	L	P
+Isoniazid	katG	Rv1908c	629	G	S
+Isoniazid	katG	Rv1908c	634	L	F
+Isoniazid	katG	Rv1908c	636	A	E
+Isoniazid	katG	Rv1908c	653	L	P
+Isoniazid	katG	Rv1908c	685	G	R
+Isoniazid	katG	Rv1908c	695	D	A
+Isoniazid	katG	Rv1908c	699	G	Q
+Isoniazid	katG	Rv1908c	700	S	P
+Isoniazid	katG	Rv1908c	710	V	A
+Isoniazid	katG	Rv1908c	713	A	P
+Isoniazid	katG	Rv1908c	716	A	P
+Isoniazid	katG	Rv1908c	717	Q	P
+Isoniazid	katG	Rv1908c	727	A	D
+Isoniazid	katG	Rv1908c	728	W	C
+Isoniazid	katG	Rv1908c	735	D	A
+Isoniazid	katG	Rv1908c	735	D	N
+Isoniazid	katG	Rv1908c	735	X	D
+Isoniazid	ndh	Rv1854c	13	R	C
+Isoniazid	ndh	Rv1854c	18	V	A
+Isoniazid	ndh	Rv1854c	110	T	A
+Isoniazid	ndh	Rv1854c	239	L	P
+Isoniazid	ndh	Rv1854c	268	R	H
+Isoniazid	nhoA	Rv3566c	67	G	R
+Isoniazid	nhoA	Rv3566c	207	G	E
+Kanamycin	rrs	Rvnr01	1401	A	G
+Kanamycin	rrs	Rvnr01	1402	C	A
+Kanamycin	rrs	Rvnr01	1402	C	T
+Kanamycin	rrs	Rvnr01	1484	G	T
+Kanamycin	tlyA	Rv1694	3	R	*
+Kanamycin	tlyA	Rv1694	7	X	*
+Kanamycin	tlyA	Rv1694	8	X	*
+Kanamycin	tlyA	Rv1694	14	R	W
+Kanamycin	tlyA	Rv1694	18	R	*
+Kanamycin	tlyA	Rv1694	22	Q	*
+Kanamycin	tlyA	Rv1694	23	X	A
+Kanamycin	tlyA	Rv1694	67	A	E
+Kanamycin	tlyA	Rv1694	69	K	E
+Kanamycin	tlyA	Rv1694	72	X	*
+Kanamycin	tlyA	Rv1694	91	A	E
+Kanamycin	tlyA	Rv1694	103	X	*
+Kanamycin	tlyA	Rv1694	118	L	P
+Kanamycin	tlyA	Rv1694	128	V	E
+Kanamycin	tlyA	Rv1694	132	X	*
+Kanamycin	tlyA	Rv1694	133	X	*
+Kanamycin	tlyA	Rv1694	150	L	P
+Kanamycin	tlyA	Rv1694	159	X	*
+Kanamycin	tlyA	Rv1694	183	P	L
+Kanamycin	tlyA	Rv1694	184	Q	*
+Kanamycin	tlyA	Rv1694	185	F	L
+Kanamycin	tlyA	Rv1694	195	X	*
+Kanamycin	tlyA	Rv1694	217	X	*
+Kanamycin	tlyA	Rv1694	218	X	*
+Kanamycin	tlyA	Rv1694	224	X	*
+Kanamycin	tlyA	Rv1694	236	N	K
+Kanamycin	tlyA	Rv1694	238	E	K
+Kanamycin	tlyA	Rv1694	252	X	*
+Levofloxacin	gyrA	Rv0006	74	A	S
+Levofloxacin	gyrA	Rv0006	80	T	A
+Levofloxacin	gyrA	Rv0006	88	G	A
+Levofloxacin	gyrA	Rv0006	89	D	N
+Levofloxacin	gyrA	Rv0006	90	A	G
+Levofloxacin	gyrA	Rv0006	90	A	V
+Levofloxacin	gyrA	Rv0006	91	S	P
+Levofloxacin	gyrA	Rv0006	94	D	A
+Levofloxacin	gyrA	Rv0006	94	D	F
+Levofloxacin	gyrA	Rv0006	94	D	G
+Levofloxacin	gyrA	Rv0006	94	D	H
+Levofloxacin	gyrA	Rv0006	94	D	N
+Levofloxacin	gyrA	Rv0006	94	D	V
+Levofloxacin	gyrA	Rv0006	94	D	Y
+Levofloxacin	gyrA	Rv0006	95	S	T
+Levofloxacin	gyrA	Rv0006	102	P	H
+Levofloxacin	gyrA	Rv0006	109	L	V
+Levofloxacin	gyrB	Rv0005	457	R	C
+Levofloxacin	gyrB	Rv0005	458	S	F
+Levofloxacin	gyrB	Rv0005	472	D	A
+Levofloxacin	gyrB	Rv0005	472	D	H
+Levofloxacin	gyrB	Rv0005	472	D	N
+Levofloxacin	gyrB	Rv0005	481	G	A
+Levofloxacin	gyrB	Rv0005	505	D	A
+Levofloxacin	gyrB	Rv0005	510	N	D
+Levofloxacin	gyrB	Rv0005	510	N	T
+Levofloxacin	gyrB	Rv0005	510	Q	K
+Levofloxacin	gyrB	Rv0005	511	T	P
+Levofloxacin	gyrB	Rv0005	512	E	D
+Levofloxacin	gyrB	Rv0005	512	E	V
+Levofloxacin	gyrB	Rv0005	515	A	T
+Levofloxacin	gyrB	Rv0005	515	A	V
+Levofloxacin	gyrB	Rv0005	549	Q	H
+Moxifloxacin	gyrA	Rv0006	74	A	S
+Moxifloxacin	gyrA	Rv0006	80	T	A
+Moxifloxacin	gyrA	Rv0006	88	G	A
+Moxifloxacin	gyrA	Rv0006	89	D	N
+Moxifloxacin	gyrA	Rv0006	90	A	G
+Moxifloxacin	gyrA	Rv0006	90	A	V
+Moxifloxacin	gyrA	Rv0006	91	S	P
+Moxifloxacin	gyrA	Rv0006	94	D	A
+Moxifloxacin	gyrA	Rv0006	94	D	F
+Moxifloxacin	gyrA	Rv0006	94	D	G
+Moxifloxacin	gyrA	Rv0006	94	D	H
+Moxifloxacin	gyrA	Rv0006	94	D	N
+Moxifloxacin	gyrA	Rv0006	94	D	V
+Moxifloxacin	gyrA	Rv0006	94	D	Y
+Moxifloxacin	gyrA	Rv0006	95	S	T
+Moxifloxacin	gyrA	Rv0006	102	P	H
+Moxifloxacin	gyrA	Rv0006	109	L	V
+Moxifloxacin	gyrB	Rv0005	457	R	C
+Moxifloxacin	gyrB	Rv0005	458	S	F
+Moxifloxacin	gyrB	Rv0005	472	D	A
+Moxifloxacin	gyrB	Rv0005	472	D	H
+Moxifloxacin	gyrB	Rv0005	472	D	N
+Moxifloxacin	gyrB	Rv0005	481	G	A
+Moxifloxacin	gyrB	Rv0005	505	D	A
+Moxifloxacin	gyrB	Rv0005	510	N	D
+Moxifloxacin	gyrB	Rv0005	510	N	T
+Moxifloxacin	gyrB	Rv0005	510	Q	K
+Moxifloxacin	gyrB	Rv0005	511	T	P
+Moxifloxacin	gyrB	Rv0005	512	E	D
+Moxifloxacin	gyrB	Rv0005	512	E	V
+Moxifloxacin	gyrB	Rv0005	515	A	T
+Moxifloxacin	gyrB	Rv0005	515	A	V
+Moxifloxacin	gyrB	Rv0005	549	Q	H
+Ofloxacin	gyrA	Rv0006	74	A	S
+Ofloxacin	gyrA	Rv0006	80	T	A
+Ofloxacin	gyrA	Rv0006	88	G	A
+Ofloxacin	gyrA	Rv0006	89	D	N
+Ofloxacin	gyrA	Rv0006	90	A	G
+Ofloxacin	gyrA	Rv0006	90	A	V
+Ofloxacin	gyrA	Rv0006	91	S	P
+Ofloxacin	gyrA	Rv0006	94	D	A
+Ofloxacin	gyrA	Rv0006	94	D	F
+Ofloxacin	gyrA	Rv0006	94	D	G
+Ofloxacin	gyrA	Rv0006	94	D	H
+Ofloxacin	gyrA	Rv0006	94	D	N
+Ofloxacin	gyrA	Rv0006	94	D	V
+Ofloxacin	gyrA	Rv0006	94	D	Y
+Ofloxacin	gyrA	Rv0006	95	S	T
+Ofloxacin	gyrA	Rv0006	102	P	H
+Ofloxacin	gyrA	Rv0006	109	L	V
+Ofloxacin	gyrB	Rv0005	457	R	C
+Ofloxacin	gyrB	Rv0005	458	S	F
+Ofloxacin	gyrB	Rv0005	472	D	A
+Ofloxacin	gyrB	Rv0005	472	D	H
+Ofloxacin	gyrB	Rv0005	472	D	N
+Ofloxacin	gyrB	Rv0005	481	G	A
+Ofloxacin	gyrB	Rv0005	505	D	A
+Ofloxacin	gyrB	Rv0005	510	N	D
+Ofloxacin	gyrB	Rv0005	510	N	T
+Ofloxacin	gyrB	Rv0005	510	Q	K
+Ofloxacin	gyrB	Rv0005	511	T	P
+Ofloxacin	gyrB	Rv0005	512	E	D
+Ofloxacin	gyrB	Rv0005	512	E	V
+Ofloxacin	gyrB	Rv0005	515	A	T
+Ofloxacin	gyrB	Rv0005	515	A	V
+Ofloxacin	gyrB	Rv0005	549	Q	H
+Para-Aminosalisylic_acid	thyA	Rv2764c	202	T	A
+Para-Aminosalisylic_acid	thyA	Rv2764c	222	R	G
+Pyrazinamide	pncA	Rv2043c	-12	T	G
+Pyrazinamide	pncA	Rv2043c	-11	A	C
+Pyrazinamide	pncA	Rv2043c	-11	A	G
+Pyrazinamide	pncA	Rv2043c	-7	T	C
+Pyrazinamide	pncA	Rv2043c	1	M	I
+Pyrazinamide	pncA	Rv2043c	1	M	T
+Pyrazinamide	pncA	Rv2043c	1	X	*
+Pyrazinamide	pncA	Rv2043c	3	A	E
+Pyrazinamide	pncA	Rv2043c	3	A	P
+Pyrazinamide	pncA	Rv2043c	4	L	S
+Pyrazinamide	pncA	Rv2043c	4	L	W
+Pyrazinamide	pncA	Rv2043c	5	I	S
+Pyrazinamide	pncA	Rv2043c	7	V	D
+Pyrazinamide	pncA	Rv2043c	7	V	F
+Pyrazinamide	pncA	Rv2043c	7	V	G
+Pyrazinamide	pncA	Rv2043c	7	V	I
+Pyrazinamide	pncA	Rv2043c	8	D	E
+Pyrazinamide	pncA	Rv2043c	8	D	G
+Pyrazinamide	pncA	Rv2043c	8	D	Y
+Pyrazinamide	pncA	Rv2043c	9	V	A
+Pyrazinamide	pncA	Rv2043c	9	V	G
+Pyrazinamide	pncA	Rv2043c	9	V	L
+Pyrazinamide	pncA	Rv2043c	9	V	S
+Pyrazinamide	pncA	Rv2043c	10	Q	*
+Pyrazinamide	pncA	Rv2043c	10	Q	K
+Pyrazinamide	pncA	Rv2043c	10	Q	P
+Pyrazinamide	pncA	Rv2043c	10	Q	R
+Pyrazinamide	pncA	Rv2043c	10	X	*
+Pyrazinamide	pncA	Rv2043c	12	D	A
+Pyrazinamide	pncA	Rv2043c	12	D	N
+Pyrazinamide	pncA	Rv2043c	13	F	S
+Pyrazinamide	pncA	Rv2043c	14	C	H
+Pyrazinamide	pncA	Rv2043c	14	C	R
+Pyrazinamide	pncA	Rv2043c	14	C	Y
+Pyrazinamide	pncA	Rv2043c	16	X	*
+Pyrazinamide	pncA	Rv2043c	17	G	D
+Pyrazinamide	pncA	Rv2043c	17	G	V
+Pyrazinamide	pncA	Rv2043c	17	X	*
+Pyrazinamide	pncA	Rv2043c	19	L	P
+Pyrazinamide	pncA	Rv2043c	19	L	R
+Pyrazinamide	pncA	Rv2043c	20	X	*
+Pyrazinamide	pncA	Rv2043c	21	V	G
+Pyrazinamide	pncA	Rv2043c	22	X	*
+Pyrazinamide	pncA	Rv2043c	23	G	V
+Pyrazinamide	pncA	Rv2043c	24	X	*
+Pyrazinamide	pncA	Rv2043c	25	A	E
+Pyrazinamide	pncA	Rv2043c	26	A	G
+Pyrazinamide	pncA	Rv2043c	28	A	D
+Pyrazinamide	pncA	Rv2043c	28	X	*
+Pyrazinamide	pncA	Rv2043c	29	X	*
+Pyrazinamide	pncA	Rv2043c	32	X	*
+Pyrazinamide	pncA	Rv2043c	33	X	*
+Pyrazinamide	pncA	Rv2043c	34	X	*
+Pyrazinamide	pncA	Rv2043c	34	Y	S
+Pyrazinamide	pncA	Rv2043c	35	L	P
+Pyrazinamide	pncA	Rv2043c	35	L	R
+Pyrazinamide	pncA	Rv2043c	35	X	*
+Pyrazinamide	pncA	Rv2043c	37	E	*
+Pyrazinamide	pncA	Rv2043c	41	Y	*
+Pyrazinamide	pncA	Rv2043c	41	Y	H
+Pyrazinamide	pncA	Rv2043c	43	H	P
+Pyrazinamide	pncA	Rv2043c	45	V	G
+Pyrazinamide	pncA	Rv2043c	46	A	E
+Pyrazinamide	pncA	Rv2043c	46	A	P
+Pyrazinamide	pncA	Rv2043c	46	A	V
+Pyrazinamide	pncA	Rv2043c	46	X	*
+Pyrazinamide	pncA	Rv2043c	47	T	A
+Pyrazinamide	pncA	Rv2043c	47	T	P
+Pyrazinamide	pncA	Rv2043c	47	T	S
+Pyrazinamide	pncA	Rv2043c	49	D	A
+Pyrazinamide	pncA	Rv2043c	49	D	G
+Pyrazinamide	pncA	Rv2043c	49	D	H
+Pyrazinamide	pncA	Rv2043c	49	D	V
+Pyrazinamide	pncA	Rv2043c	50	X	*
+Pyrazinamide	pncA	Rv2043c	51	H	N
+Pyrazinamide	pncA	Rv2043c	51	H	P
+Pyrazinamide	pncA	Rv2043c	51	H	Q
+Pyrazinamide	pncA	Rv2043c	51	H	R
+Pyrazinamide	pncA	Rv2043c	51	H	Y
+Pyrazinamide	pncA	Rv2043c	53	D	A
+Pyrazinamide	pncA	Rv2043c	53	D	N
+Pyrazinamide	pncA	Rv2043c	53	X	*
+Pyrazinamide	pncA	Rv2043c	54	P	L
+Pyrazinamide	pncA	Rv2043c	54	P	T
+Pyrazinamide	pncA	Rv2043c	54	X	*
+Pyrazinamide	pncA	Rv2043c	57	H	D
+Pyrazinamide	pncA	Rv2043c	57	H	L
+Pyrazinamide	pncA	Rv2043c	57	H	P
+Pyrazinamide	pncA	Rv2043c	57	H	Y
+Pyrazinamide	pncA	Rv2043c	58	F	L
+Pyrazinamide	pncA	Rv2043c	58	X	*
+Pyrazinamide	pncA	Rv2043c	59	S	P
+Pyrazinamide	pncA	Rv2043c	61	T	P
+Pyrazinamide	pncA	Rv2043c	62	P	H
+Pyrazinamide	pncA	Rv2043c	62	P	L
+Pyrazinamide	pncA	Rv2043c	62	P	R
+Pyrazinamide	pncA	Rv2043c	63	D	G
+Pyrazinamide	pncA	Rv2043c	63	D	H
+Pyrazinamide	pncA	Rv2043c	64	X	*
+Pyrazinamide	pncA	Rv2043c	64	Y	D
+Pyrazinamide	pncA	Rv2043c	65	X	*
+Pyrazinamide	pncA	Rv2043c	66	S	P
+Pyrazinamide	pncA	Rv2043c	67	S	P
+Pyrazinamide	pncA	Rv2043c	68	W	*
+Pyrazinamide	pncA	Rv2043c	68	W	G
+Pyrazinamide	pncA	Rv2043c	68	W	L
+Pyrazinamide	pncA	Rv2043c	68	W	R
+Pyrazinamide	pncA	Rv2043c	68	W	S
+Pyrazinamide	pncA	Rv2043c	69	P	L
+Pyrazinamide	pncA	Rv2043c	69	P	R
+Pyrazinamide	pncA	Rv2043c	71	H	D
+Pyrazinamide	pncA	Rv2043c	71	H	E
+Pyrazinamide	pncA	Rv2043c	71	H	R
+Pyrazinamide	pncA	Rv2043c	71	H	Y
+Pyrazinamide	pncA	Rv2043c	71	X	*
+Pyrazinamide	pncA	Rv2043c	72	C	R
+Pyrazinamide	pncA	Rv2043c	72	C	W
+Pyrazinamide	pncA	Rv2043c	72	C	Y
+Pyrazinamide	pncA	Rv2043c	72	X	*
+Pyrazinamide	pncA	Rv2043c	73	X	*
+Pyrazinamide	pncA	Rv2043c	74	X	*
+Pyrazinamide	pncA	Rv2043c	75	M	T
+Pyrazinamide	pncA	Rv2043c	76	T	I
+Pyrazinamide	pncA	Rv2043c	76	T	P
+Pyrazinamide	pncA	Rv2043c	78	G	D
+Pyrazinamide	pncA	Rv2043c	79	A	G
+Pyrazinamide	pncA	Rv2043c	79	X	*
+Pyrazinamide	pncA	Rv2043c	80	F	V
+Pyrazinamide	pncA	Rv2043c	80	X	*
+Pyrazinamide	pncA	Rv2043c	82	H	D
+Pyrazinamide	pncA	Rv2043c	82	H	L
+Pyrazinamide	pncA	Rv2043c	82	H	R
+Pyrazinamide	pncA	Rv2043c	82	H	Y
+Pyrazinamide	pncA	Rv2043c	83	X	*
+Pyrazinamide	pncA	Rv2043c	85	L	P
+Pyrazinamide	pncA	Rv2043c	85	L	R
+Pyrazinamide	pncA	Rv2043c	87	T	M
+Pyrazinamide	pncA	Rv2043c	88	S	*
+Pyrazinamide	pncA	Rv2043c	90	I	S
+Pyrazinamide	pncA	Rv2043c	94	F	P
+Pyrazinamide	pncA	Rv2043c	94	X	*
+Pyrazinamide	pncA	Rv2043c	95	X	*
+Pyrazinamide	pncA	Rv2043c	95	Y	*
+Pyrazinamide	pncA	Rv2043c	96	K	E
+Pyrazinamide	pncA	Rv2043c	96	K	N
+Pyrazinamide	pncA	Rv2043c	96	K	Q
+Pyrazinamide	pncA	Rv2043c	96	K	T
+Pyrazinamide	pncA	Rv2043c	96	X	*
+Pyrazinamide	pncA	Rv2043c	97	G	D
+Pyrazinamide	pncA	Rv2043c	97	G	S
+Pyrazinamide	pncA	Rv2043c	99	Y	*
+Pyrazinamide	pncA	Rv2043c	100	X	*
+Pyrazinamide	pncA	Rv2043c	102	A	T
+Pyrazinamide	pncA	Rv2043c	102	A	V
+Pyrazinamide	pncA	Rv2043c	102	X	*
+Pyrazinamide	pncA	Rv2043c	103	Y	*
+Pyrazinamide	pncA	Rv2043c	103	Y	C
+Pyrazinamide	pncA	Rv2043c	103	Y	H
+Pyrazinamide	pncA	Rv2043c	103	Y	S
+Pyrazinamide	pncA	Rv2043c	104	S	R
+Pyrazinamide	pncA	Rv2043c	104	X	*
+Pyrazinamide	pncA	Rv2043c	107	G	K
+Pyrazinamide	pncA	Rv2043c	113	X	*
+Pyrazinamide	pncA	Rv2043c	114	T	P
+Pyrazinamide	pncA	Rv2043c	114	X	*
+Pyrazinamide	pncA	Rv2043c	116	L	R
+Pyrazinamide	pncA	Rv2043c	116	L	V
+Pyrazinamide	pncA	Rv2043c	118	N	T
+Pyrazinamide	pncA	Rv2043c	119	W	*
+Pyrazinamide	pncA	Rv2043c	119	W	C
+Pyrazinamide	pncA	Rv2043c	119	W	R
+Pyrazinamide	pncA	Rv2043c	120	L	P
+Pyrazinamide	pncA	Rv2043c	121	R	P
+Pyrazinamide	pncA	Rv2043c	122	X	*
+Pyrazinamide	pncA	Rv2043c	123	X	*
+Pyrazinamide	pncA	Rv2043c	125	V	D
+Pyrazinamide	pncA	Rv2043c	125	V	G
+Pyrazinamide	pncA	Rv2043c	126	X	*
+Pyrazinamide	pncA	Rv2043c	127	X	*
+Pyrazinamide	pncA	Rv2043c	128	V	G
+Pyrazinamide	pncA	Rv2043c	128	X	*
+Pyrazinamide	pncA	Rv2043c	129	X	*
+Pyrazinamide	pncA	Rv2043c	129	X	E
+Pyrazinamide	pncA	Rv2043c	129	X	R
+Pyrazinamide	pncA	Rv2043c	130	V	G
+Pyrazinamide	pncA	Rv2043c	130	X	*
+Pyrazinamide	pncA	Rv2043c	131	X	*
+Pyrazinamide	pncA	Rv2043c	132	G	D
+Pyrazinamide	pncA	Rv2043c	132	G	S
+Pyrazinamide	pncA	Rv2043c	132	X	*
+Pyrazinamide	pncA	Rv2043c	133	I	N
+Pyrazinamide	pncA	Rv2043c	133	I	T
+Pyrazinamide	pncA	Rv2043c	134	A	V
+Pyrazinamide	pncA	Rv2043c	134	X	*
+Pyrazinamide	pncA	Rv2043c	135	T	P
+Pyrazinamide	pncA	Rv2043c	135	X	*
+Pyrazinamide	pncA	Rv2043c	136	D	G
+Pyrazinamide	pncA	Rv2043c	136	D	H
+Pyrazinamide	pncA	Rv2043c	136	D	N
+Pyrazinamide	pncA	Rv2043c	136	D	Y
+Pyrazinamide	pncA	Rv2043c	136	X	*
+Pyrazinamide	pncA	Rv2043c	137	H	P
+Pyrazinamide	pncA	Rv2043c	137	H	R
+Pyrazinamide	pncA	Rv2043c	138	C	S
+Pyrazinamide	pncA	Rv2043c	138	C	Y
+Pyrazinamide	pncA	Rv2043c	138	X	*
+Pyrazinamide	pncA	Rv2043c	139	V	A
+Pyrazinamide	pncA	Rv2043c	139	V	G
+Pyrazinamide	pncA	Rv2043c	139	V	L
+Pyrazinamide	pncA	Rv2043c	139	V	M
+Pyrazinamide	pncA	Rv2043c	139	X	*
+Pyrazinamide	pncA	Rv2043c	140	R	S
+Pyrazinamide	pncA	Rv2043c	140	X	*
+Pyrazinamide	pncA	Rv2043c	141	Q	*
+Pyrazinamide	pncA	Rv2043c	141	Q	P
+Pyrazinamide	pncA	Rv2043c	142	T	A
+Pyrazinamide	pncA	Rv2043c	142	T	K
+Pyrazinamide	pncA	Rv2043c	142	T	M
+Pyrazinamide	pncA	Rv2043c	142	T	P
+Pyrazinamide	pncA	Rv2043c	142	X	*
+Pyrazinamide	pncA	Rv2043c	143	X	*
+Pyrazinamide	pncA	Rv2043c	145	X	*
+Pyrazinamide	pncA	Rv2043c	146	A	T
+Pyrazinamide	pncA	Rv2043c	146	A	V
+Pyrazinamide	pncA	Rv2043c	147	X	*
+Pyrazinamide	pncA	Rv2043c	148	R	S
+Pyrazinamide	pncA	Rv2043c	148	X	*
+Pyrazinamide	pncA	Rv2043c	149	X	*
+Pyrazinamide	pncA	Rv2043c	150	X	*
+Pyrazinamide	pncA	Rv2043c	151	X	*
+Pyrazinamide	pncA	Rv2043c	153	T	N
+Pyrazinamide	pncA	Rv2043c	154	R	G
+Pyrazinamide	pncA	Rv2043c	155	V	A
+Pyrazinamide	pncA	Rv2043c	155	V	G
+Pyrazinamide	pncA	Rv2043c	155	X	*
+Pyrazinamide	pncA	Rv2043c	158	X	*
+Pyrazinamide	pncA	Rv2043c	159	L	P
+Pyrazinamide	pncA	Rv2043c	159	L	R
+Pyrazinamide	pncA	Rv2043c	160	T	P
+Pyrazinamide	pncA	Rv2043c	160	X	*
+Pyrazinamide	pncA	Rv2043c	161	A	P
+Pyrazinamide	pncA	Rv2043c	162	G	D
+Pyrazinamide	pncA	Rv2043c	167	X	*
+Pyrazinamide	pncA	Rv2043c	168	T	N
+Pyrazinamide	pncA	Rv2043c	170	X	*
+Pyrazinamide	pncA	Rv2043c	171	A	E
+Pyrazinamide	pncA	Rv2043c	171	A	P
+Pyrazinamide	pncA	Rv2043c	171	A	T
+Pyrazinamide	pncA	Rv2043c	171	A	V
+Pyrazinamide	pncA	Rv2043c	171	X	*
+Pyrazinamide	pncA	Rv2043c	172	L	A
+Pyrazinamide	pncA	Rv2043c	172	L	P
+Pyrazinamide	pncA	Rv2043c	172	X	*
+Pyrazinamide	pncA	Rv2043c	173	X	*
+Pyrazinamide	pncA	Rv2043c	175	M	V
+Pyrazinamide	pncA	Rv2043c	177	X	*
+Pyrazinamide	pncA	Rv2043c	179	S	R
+Pyrazinamide	pncA	Rv2043c	180	V	F
+Pyrazinamide	pncA	Rv2043c	181	E	D
+Pyrazinamide	pncA	Rv2043c	182	L	S
+Pyrazinamide	pncA	Rv2043c	185	S	I
+Pyrazinamide	pncA	Rv2043c	185	S	T
+Rifampicin	rpoB	Rv0667	65	V	F
+Rifampicin	rpoB	Rv0667	300	A	V
+Rifampicin	rpoB	Rv0667	409	Q	H
+Rifampicin	rpoB	Rv0667	423	E	A
+Rifampicin	rpoB	Rv0667	424	F	L
+Rifampicin	rpoB	Rv0667	424	F	S
+Rifampicin	rpoB	Rv0667	426	G	D
+Rifampicin	rpoB	Rv0667	426	G	S
+Rifampicin	rpoB	Rv0667	426	X	G
+Rifampicin	rpoB	Rv0667	427	T	A
+Rifampicin	rpoB	Rv0667	427	T	H
+Rifampicin	rpoB	Rv0667	427	T	P
+Rifampicin	rpoB	Rv0667	427	T	S
+Rifampicin	rpoB	Rv0667	428	S	Q
+Rifampicin	rpoB	Rv0667	428	S	R
+Rifampicin	rpoB	Rv0667	428	S	T
+Rifampicin	rpoB	Rv0667	429	Q	H
+Rifampicin	rpoB	Rv0667	429	Q	K
+Rifampicin	rpoB	Rv0667	430	L	P
+Rifampicin	rpoB	Rv0667	430	L	R
+Rifampicin	rpoB	Rv0667	430	L	V
+Rifampicin	rpoB	Rv0667	431	S	G
+Rifampicin	rpoB	Rv0667	431	S	I
+Rifampicin	rpoB	Rv0667	431	S	R
+Rifampicin	rpoB	Rv0667	431	S	T
+Rifampicin	rpoB	Rv0667	432	Q	*
+Rifampicin	rpoB	Rv0667	432	Q	E
+Rifampicin	rpoB	Rv0667	432	Q	H
+Rifampicin	rpoB	Rv0667	432	Q	K
+Rifampicin	rpoB	Rv0667	432	Q	L
+Rifampicin	rpoB	Rv0667	432	Q	N
+Rifampicin	rpoB	Rv0667	432	Q	P
+Rifampicin	rpoB	Rv0667	432	Q	R
+Rifampicin	rpoB	Rv0667	432	X	F
+Rifampicin	rpoB	Rv0667	432	X	Q
+Rifampicin	rpoB	Rv0667	433	F	L
+Rifampicin	rpoB	Rv0667	433	F	V
+Rifampicin	rpoB	Rv0667	433	X	F
+Rifampicin	rpoB	Rv0667	433	X	R
+Rifampicin	rpoB	Rv0667	434	M	I
+Rifampicin	rpoB	Rv0667	435	D	A
+Rifampicin	rpoB	Rv0667	435	D	E
+Rifampicin	rpoB	Rv0667	435	D	F
+Rifampicin	rpoB	Rv0667	435	D	G
+Rifampicin	rpoB	Rv0667	435	D	H
+Rifampicin	rpoB	Rv0667	435	D	N
+Rifampicin	rpoB	Rv0667	435	D	V
+Rifampicin	rpoB	Rv0667	435	D	Y
+Rifampicin	rpoB	Rv0667	435	X	D
+Rifampicin	rpoB	Rv0667	436	Q	H
+Rifampicin	rpoB	Rv0667	436	Q	L
+Rifampicin	rpoB	Rv0667	436	X	Q
+Rifampicin	rpoB	Rv0667	437	N	D
+Rifampicin	rpoB	Rv0667	437	N	H
+Rifampicin	rpoB	Rv0667	437	N	I
+Rifampicin	rpoB	Rv0667	437	N	T
+Rifampicin	rpoB	Rv0667	437	N	Y
+Rifampicin	rpoB	Rv0667	438	N	K
+Rifampicin	rpoB	Rv0667	438	X	N
+Rifampicin	rpoB	Rv0667	440	L	L
+Rifampicin	rpoB	Rv0667	440	L	M
+Rifampicin	rpoB	Rv0667	440	L	P
+Rifampicin	rpoB	Rv0667	441	S	L
+Rifampicin	rpoB	Rv0667	441	S	W
+Rifampicin	rpoB	Rv0667	442	G	A
+Rifampicin	rpoB	Rv0667	442	G	W
+Rifampicin	rpoB	Rv0667	443	L	S
+Rifampicin	rpoB	Rv0667	443	L	W
+Rifampicin	rpoB	Rv0667	444	T	I
+Rifampicin	rpoB	Rv0667	444	T	P
+Rifampicin	rpoB	Rv0667	445	H	C
+Rifampicin	rpoB	Rv0667	445	H	D
+Rifampicin	rpoB	Rv0667	445	H	F
+Rifampicin	rpoB	Rv0667	445	H	G
+Rifampicin	rpoB	Rv0667	445	H	L
+Rifampicin	rpoB	Rv0667	445	H	N
+Rifampicin	rpoB	Rv0667	445	H	P
+Rifampicin	rpoB	Rv0667	445	H	Q
+Rifampicin	rpoB	Rv0667	445	H	R
+Rifampicin	rpoB	Rv0667	445	H	S
+Rifampicin	rpoB	Rv0667	445	H	T
+Rifampicin	rpoB	Rv0667	445	H	Y
+Rifampicin	rpoB	Rv0667	446	K	N
+Rifampicin	rpoB	Rv0667	446	K	Q
+Rifampicin	rpoB	Rv0667	446	X	K
+Rifampicin	rpoB	Rv0667	447	R	H
+Rifampicin	rpoB	Rv0667	447	R	P
+Rifampicin	rpoB	Rv0667	450	S	C
+Rifampicin	rpoB	Rv0667	450	S	F
+Rifampicin	rpoB	Rv0667	450	S	L
+Rifampicin	rpoB	Rv0667	450	S	Q
+Rifampicin	rpoB	Rv0667	450	S	W
+Rifampicin	rpoB	Rv0667	450	S	Y
+Rifampicin	rpoB	Rv0667	452	L	P
+Rifampicin	rpoB	Rv0667	454	P	H
+Rifampicin	rpoB	Rv0667	454	P	S
+Rifampicin	rpoB	Rv0667	457	L	*
+Rifampicin	rpoB	Rv0667	457	L	P
+Rifampicin	rpoB	Rv0667	460	E	G
+Rifampicin	rpoB	Rv0667	464	L	M
+Rifampicin	rpoB	Rv0667	472	S	A
+Rifampicin	rpoB	Rv0667	480	I	T
+Rifampicin	rpoB	Rv0667	480	I	V
+Rifampicin	rpoB	Rv0667	490	L	V
+Rifampicin	rpoB	Rv0667	541	S	A
+Rifampicin	rpoB	Rv0667	552	R	C
+Rifampicin	rpoB	Rv0667	591	E	D
+Streptomycin	gid	Rv3919c	16	L	R
+Streptomycin	gid	Rv3919c	34	X	*
+Streptomycin	gid	Rv3919c	39	X	*
+Streptomycin	gid	Rv3919c	40	E	*
+Streptomycin	gid	Rv3919c	45	W	C
+Streptomycin	gid	Rv3919c	47	R	Q
+Streptomycin	gid	Rv3919c	55	I	S
+Streptomycin	gid	Rv3919c	67	D	H
+Streptomycin	gid	Rv3919c	70	S	R
+Streptomycin	gid	Rv3919c	71	G	V
+Streptomycin	gid	Rv3919c	75	P	A
+Streptomycin	gid	Rv3919c	92	E	D
+Streptomycin	gid	Rv3919c	103	E	*
+Streptomycin	gid	Rv3919c	117	X	*
+Streptomycin	gid	Rv3919c	125	Q	*
+Streptomycin	gid	Rv3919c	127	Q	P
+Streptomycin	gid	Rv3919c	134	A	E
+Streptomycin	gid	Rv3919c	138	A	E
+Streptomycin	gid	Rv3919c	148	W	R
+Streptomycin	gid	Rv3919c	183	A	E
+Streptomycin	gid	Rv3919c	188	V	G
+Streptomycin	gid	Rv3919c	200	A	E
+Streptomycin	rpsL	Rv0682	9	R	H
+Streptomycin	rpsL	Rv0682	40	T	I
+Streptomycin	rpsL	Rv0682	41	T	S
+Streptomycin	rpsL	Rv0682	43	K	R
+Streptomycin	rpsL	Rv0682	43	K	T
+Streptomycin	rpsL	Rv0682	51	K	N
+Streptomycin	rpsL	Rv0682	52	V	G
+Streptomycin	rpsL	Rv0682	84	G	V
+Streptomycin	rpsL	Rv0682	86	R	P
+Streptomycin	rpsL	Rv0682	86	R	W
+Streptomycin	rpsL	Rv0682	87	V	L
+Streptomycin	rpsL	Rv0682	88	K	M
+Streptomycin	rpsL	Rv0682	88	K	Q
+Streptomycin	rpsL	Rv0682	88	K	R
+Streptomycin	rpsL	Rv0682	88	K	T
+Streptomycin	rpsL	Rv0682	93	V	M
+Streptomycin	rrs	Rvnr01	190	G	A
+Streptomycin	rrs	Rvnr01	427	G	C
+Streptomycin	rrs	Rvnr01	427	G	T
+Streptomycin	rrs	Rvnr01	462	C	T
+Streptomycin	rrs	Rvnr01	492	C	T
+Streptomycin	rrs	Rvnr01	513	C	T
+Streptomycin	rrs	Rvnr01	514	A	C
+Streptomycin	rrs	Rvnr01	514	A	T
+Streptomycin	rrs	Rvnr01	517	C	T
+Streptomycin	rrs	Rvnr01	628	G	C
+Streptomycin	rrs	Rvnr01	799	C	T
+Streptomycin	rrs	Rvnr01	866	C	G
+Streptomycin	rrs	Rvnr01	888	G	A
+Streptomycin	rrs	Rvnr01	905	C	A
+Streptomycin	rrs	Rvnr01	905	C	G
+Streptomycin	rrs	Rvnr01	906	A	G
+Streptomycin	rrs	Rvnr01	907	A	C
+Streptomycin	rrs	Rvnr01	907	A	T
+Streptomycin	rrs	Rvnr01	908	A	G
+Streptomycin	rrs	Rvnr01	1239	T	C
+Streptomycin	rrs	Rvnr01	1401	A	G
diff --git a/other/tbdr/tbdr_muts_high.txt b/other/tbdr/tbdr_muts_high.txt
new file mode 100644
index 0000000..e64624b
--- /dev/null
+++ b/other/tbdr/tbdr_muts_high.txt
@@ -0,0 +1,143 @@
+Ciprofloxacin	gyrA	Rv0006	90	A	V
+Ciprofloxacin	gyrA	Rv0006	91	S	P
+Ciprofloxacin	gyrA	Rv0006	94	D	A
+Ciprofloxacin	gyrA	Rv0006	94	D	G
+Ciprofloxacin	gyrA	Rv0006	94	D	H
+Ciprofloxacin	gyrA	Rv0006	94	D	N
+Ciprofloxacin	gyrA	Rv0006	94	D	Y
+Ciprofloxacin	gyrA	Rv0006	102	P	H
+Ciprofloxacin	gyrA	Rv0006	126	A	R
+Ciprofloxacin	gyrB	Rv0005	538	N	D
+Ethambutol	embB	Rv3795	306	M	I
+Ethambutol	embB	Rv3795	306	M	L
+Ethambutol	embB	Rv3795	306	M	V
+Ethambutol	embB	Rv3795	406	G	D
+Ethambutol	embB	Rv3795	406	G	S
+Ethambutol	embB	Rv3795	497	Q	R
+Isoniazid	ahpC	Rv2428	-46	G	A
+Isoniazid	ahpC	Rv2428	-39	C	T
+Isoniazid	ahpC	Rv2428	21	I	T
+Isoniazid	fabG1-inhA	Rv1483	-15	C	T
+Isoniazid	fabG1-inhA	Rv1483	-8	T	A
+Isoniazid	fabG1-inhA	Rv1483	-8	T	C
+Isoniazid	kasA	Rv2245	269	G	S
+Isoniazid	katG	Rv1908c	279	G	D
+Isoniazid	katG	Rv1908c	315	S	I
+Isoniazid	katG	Rv1908c	315	S	N
+Isoniazid	katG	Rv1908c	315	S	R
+Isoniazid	katG	Rv1908c	315	S	T
+Levofloxacin	gyrA	Rv0006	90	A	V
+Levofloxacin	gyrA	Rv0006	91	S	P
+Levofloxacin	gyrA	Rv0006	94	D	A
+Levofloxacin	gyrA	Rv0006	94	D	G
+Levofloxacin	gyrA	Rv0006	94	D	H
+Levofloxacin	gyrA	Rv0006	94	D	N
+Levofloxacin	gyrA	Rv0006	94	D	Y
+Levofloxacin	gyrA	Rv0006	102	P	H
+Levofloxacin	gyrA	Rv0006	126	A	R
+Levofloxacin	gyrB	Rv0005	538	N	D
+Moxifloxacin	gyrA	Rv0006	90	A	V
+Moxifloxacin	gyrA	Rv0006	91	S	P
+Moxifloxacin	gyrA	Rv0006	94	D	A
+Moxifloxacin	gyrA	Rv0006	94	D	G
+Moxifloxacin	gyrA	Rv0006	94	D	H
+Moxifloxacin	gyrA	Rv0006	94	D	N
+Moxifloxacin	gyrA	Rv0006	94	D	Y
+Moxifloxacin	gyrA	Rv0006	102	P	H
+Moxifloxacin	gyrA	Rv0006	126	A	R
+Moxifloxacin	gyrB	Rv0005	538	N	D
+Ofloxacin	gyrA	Rv0006	90	A	V
+Ofloxacin	gyrA	Rv0006	91	S	P
+Ofloxacin	gyrA	Rv0006	94	D	A
+Ofloxacin	gyrA	Rv0006	94	D	G
+Ofloxacin	gyrA	Rv0006	94	D	H
+Ofloxacin	gyrA	Rv0006	94	D	N
+Ofloxacin	gyrA	Rv0006	94	D	Y
+Ofloxacin	gyrA	Rv0006	102	P	H
+Ofloxacin	gyrA	Rv0006	126	A	R
+Ofloxacin	gyrB	Rv0005	538	N	D
+Pyrazinamide	pncA	Rv2043c	-11	A	G
+Pyrazinamide	pncA	Rv2043c	7	V	G
+Pyrazinamide	pncA	Rv2043c	10	Q	P
+Pyrazinamide	pncA	Rv2043c	12	D	A
+Pyrazinamide	pncA	Rv2043c	14	C	R
+Pyrazinamide	pncA	Rv2043c	17	G	D
+Pyrazinamide	pncA	Rv2043c	19	L	P
+Pyrazinamide	pncA	Rv2043c	21	V	G
+Pyrazinamide	pncA	Rv2043c	24	X	*
+Pyrazinamide	pncA	Rv2043c	26	X	*
+Pyrazinamide	pncA	Rv2043c	34	Y	S
+Pyrazinamide	pncA	Rv2043c	35	L	R
+Pyrazinamide	pncA	Rv2043c	41	Y	*
+Pyrazinamide	pncA	Rv2043c	44	X	*
+Pyrazinamide	pncA	Rv2043c	46	A	V
+Pyrazinamide	pncA	Rv2043c	47	T	A
+Pyrazinamide	pncA	Rv2043c	51	H	P
+Pyrazinamide	pncA	Rv2043c	51	H	R
+Pyrazinamide	pncA	Rv2043c	54	P	T
+Pyrazinamide	pncA	Rv2043c	57	H	Y
+Pyrazinamide	pncA	Rv2043c	58	X	*
+Pyrazinamide	pncA	Rv2043c	61	X	*
+Pyrazinamide	pncA	Rv2043c	63	D	G
+Pyrazinamide	pncA	Rv2043c	66	S	P
+Pyrazinamide	pncA	Rv2043c	67	S	P
+Pyrazinamide	pncA	Rv2043c	68	W	G
+Pyrazinamide	pncA	Rv2043c	68	W	L
+Pyrazinamide	pncA	Rv2043c	68	W	R
+Pyrazinamide	pncA	Rv2043c	71	H	R
+Pyrazinamide	pncA	Rv2043c	72	C	R
+Pyrazinamide	pncA	Rv2043c	76	T	P
+Pyrazinamide	pncA	Rv2043c	82	H	R
+Pyrazinamide	pncA	Rv2043c	85	L	P
+Pyrazinamide	pncA	Rv2043c	96	K	N
+Pyrazinamide	pncA	Rv2043c	97	G	S
+Pyrazinamide	pncA	Rv2043c	99	Y	*
+Pyrazinamide	pncA	Rv2043c	102	A	V
+Pyrazinamide	pncA	Rv2043c	103	Y	*
+Pyrazinamide	pncA	Rv2043c	104	S	R
+Pyrazinamide	pncA	Rv2043c	105	X	*
+Pyrazinamide	pncA	Rv2043c	114	T	P
+Pyrazinamide	pncA	Rv2043c	116	L	R
+Pyrazinamide	pncA	Rv2043c	121	R	P
+Pyrazinamide	pncA	Rv2043c	128	V	G
+Pyrazinamide	pncA	Rv2043c	130	V	G
+Pyrazinamide	pncA	Rv2043c	130	X	*
+Pyrazinamide	pncA	Rv2043c	134	A	V
+Pyrazinamide	pncA	Rv2043c	137	H	R
+Pyrazinamide	pncA	Rv2043c	138	C	Y
+Pyrazinamide	pncA	Rv2043c	139	V	A
+Pyrazinamide	pncA	Rv2043c	139	V	L
+Pyrazinamide	pncA	Rv2043c	139	V	M
+Pyrazinamide	pncA	Rv2043c	140	R	S
+Pyrazinamide	pncA	Rv2043c	141	Q	P
+Pyrazinamide	pncA	Rv2043c	142	T	K
+Pyrazinamide	pncA	Rv2043c	149	X	*
+Pyrazinamide	pncA	Rv2043c	155	V	G
+Pyrazinamide	pncA	Rv2043c	159	L	P
+Pyrazinamide	pncA	Rv2043c	160	T	P
+Pyrazinamide	pncA	Rv2043c	161	A	P
+Pyrazinamide	pncA	Rv2043c	162	G	D
+Pyrazinamide	pncA	Rv2043c	171	A	E
+Pyrazinamide	pncA	Rv2043c	172	L	P
+Pyrazinamide	pncA	Rv2043c	185	S	T
+Rifampicin	rpoB	Rv0667	432	Q	L
+Rifampicin	rpoB	Rv0667	435	D	V
+Rifampicin	rpoB	Rv0667	435	D	Y
+Rifampicin	rpoB	Rv0667	441	S	L
+Rifampicin	rpoB	Rv0667	445	H	D
+Rifampicin	rpoB	Rv0667	445	H	L
+Rifampicin	rpoB	Rv0667	445	H	N
+Rifampicin	rpoB	Rv0667	445	H	R
+Rifampicin	rpoB	Rv0667	445	H	Y
+Rifampicin	rpoB	Rv0667	450	S	L
+Rifampicin	rpoB	Rv0667	450	S	W
+Rifampicin	rpoB	Rv0667	452	L	P
+Streptomycin	rpsL	Rv0682	43	K	R
+Streptomycin	rpsL	Rv0682	88	K	Q
+Streptomycin	rpsL	Rv0682	88	K	R
+Streptomycin	rrs	Rvnr01	492	C	T
+Streptomycin	rrs	Rvnr01	513	C	T
+Streptomycin	rrs	Rvnr01	514	A	C
+Streptomycin	rrs	Rvnr01	514	A	T
+Streptomycin	rrs	Rvnr01	517	C	T
+Streptomycin	rrs	Rvnr01	907	A	C
diff --git a/other/tbdr/tbdr_proc_all.txt b/other/tbdr/tbdr_proc_all.txt
new file mode 100644
index 0000000..aba78f9
--- /dev/null
+++ b/other/tbdr/tbdr_proc_all.txt
@@ -0,0 +1,1629 @@
+AMINOGLYCOSIDES [AMI] (KANAMYCIN/CAPREOMYCIN/AMIKACIN/VIOMYCIN)																																																																																																																																																																																																		
+																																																																																																																																																																																																		
+	rrs																																																																																																																																																																																																	
+Drug	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	Resistant isolates/Total isolates tested for mutation	Resistant/Sensitive isolates with mutation	Additional mutations																																																																																																																																																																																	
+AMI	rrs	Maus CE AAC 2005 Aug	1401	A/G		rRNA gene	Published 2005	"M.tb laboratory strains used for in-vitro selection of mutants; clinical isolates obtained from CDC. N=16"	USA	Sequencing	Whole gene	KAmiCap	K >80ug/ml, Ami >64ug/ml, CAP 20-80ug/ml	N.S.	16/16	11/0	"9 isolates had no additional mutaitons; one had a mutation at rrs A514C; and one had a mutation at rrs A514C and T1239C."																																																																																																											 [...]
+AMI	rrs	Sander P MolMicro 1996	1401	A/G		rRNA gene	Published 1996	8 Kanamycin and amikacin resistant Mtb isolates	N.S.	Sequencing	N.S	Kami	N.S.	N.S.	08-aug	8/0	none																																																																																																																																																																																	
+AMI	rrs	Suzuki Y JCM 1998	1402 (1401 in ref)	C/T		rRNA gene	Published 1998	K-S (n=71) isolates, K-R (n=43) isolates, and 4 laboratory strains of M.Tb. Total N=118	Japan	Sequencing	300 bp containing the 3' one-fifth of the rrs gene	K	K >100ug/ml	Proportion method	43/118	1/0	None found in gene analyzed.																																																																																																																																																																																	
+AMI	rrs	Suzuki Y JCM 1998	1402 (1401 in ref)	C/A		rRNA gene	Published 1998	K-S (n=71) isolates, K-R (n=43) isolates, and 4 laboratory strains of M.Tb. Total N=118	Japan	Sequencing	300 bp containing the 3' one-fifth of the rrs gene	K	K >100ug/ml	Proportion method	43/118	2/0	Both isolates also mutated at rrs G1484T.																																																																																																																																																																																	
+AMI	rrs	Taniguchi H JB 1997	1401 (1400 in ref)	A/G		rRNA gene	Published 1997	"Kamycin- and viomycin-resistant M.smegmatis isolated from standard strains in the laboratory (n=15); MDR-M.tb clinical isolates (N=10), out of which 4 were K-R."	Japan	Sequencing	nt 431 to the 3' end	RSEKVio	K >200ug/ml	N.S.	39913	3/0	"Lys43Arg mutation in S12 protein in one isolate; Lys88Gln mutation in S12 protein in second isolate."																																																																													 [...]
+AMI	rrs	Suzuki Y JCM 1998	1484 (1483 in ref)	G/T		rRNA gene	Published 1998	K-S (n=71) isolates, K-R (n=43) isolates, and 4 laboratory strains of M.Tb. Total N=118	Japan	Sequencing	300 bp containing the 3' one-fifth of the rrs gene	K	K >100ug/ml	Proportion method	43/118	2/0	Both isolates also mutated at rrs C1402A.																																																																																																																																																																																	
+																																																																																																																																																																																																		
+																																																																																																																																																																																																		
+	tlyA (Rv1694)																																																																																																																																																																																																	
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	7	CGA/TGA	3	Arg/STOP	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap Vio	Cap 40ug/ml, Vio 20ug/ml	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	26	del C		Frameshift	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	N.S.	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005 Feb	40	CGG/TGG	14	Arg/Trp	Published 2005	"Mutagenized M.smeg; also M.tb strains H37Rv, CDC1551, Beijing F2, and 18 clinical isolates obtained from CDC. N=18"	USA	Sequencing	Whole gene	HRESEthKCapVioAmi	K >80ug/ml	Proportion method	16/18	1/0	Also mutated at rrs A1401G.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	52	CGA/TGA	18	Arg/STOP	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	N.S.	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	64	CAG/TAG	22	Gln/STOP	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	Cap 40ug/ml, Vio <10ug/ml	Proportion method	30/30	3/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	23	del A		Frameshift	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	RESKCapVio Ami	Cap 80ug/ml	Proportion method	18/18	1/0	None found in region analyzed.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005 Feb	67-69	del GCC	23	del A	Published 2005	"Mutagenized M.smeg; also M.tb strains H37Rv, CDC1551, Beijing F2, and 18 clinical isolates obtained from CDC. N=18"	USA	Sequencing	Whole gene	HRESKCapVioAmi	K 20ug/ml	Proportion method	16/18	1/0	None found in region analyzed.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	200	GCG/GAG	67	Ala/Glu	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	N.S.	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	205	AAA/GAA	69	Lys/Glu	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	N.S.	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	218	ins C		Frameshift	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	HRESKCapVioAmi	Cap 80ug/ml	Proportion method	18/18	1/0	None found in region analyzed.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	272	GCA/GAA	91	Ala/Glu	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	Cap 40ug.ml, Vio <10ug/ml	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	310	del G		Frameshift	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	N.S.	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	353	CTG/CCG	118	Leu/Pro	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	CapVio	Cap 40ug/ml, Vio 40ug/ml	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	383	GTG/GAG	128	Val/Glu	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	N.S.	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	397	ins C		Frameshift	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	CapVio	Cap 40ug/ml, Vio 20ug/ml	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	400	del A		Frameshift	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	N.S.	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005 Feb	449	CTG/CCG	150	Leu/Pro	Published 2005	"Mutagenized M.smeg; also M.tb strains H37Rv, CDC1551, Beijing F2, and 18 clinical isolates obtained from CDC. N=18"	USA	Sequencing	Whole gene	HRSCap	K <5ug/ml Cap 40ug/ml	Proportion method	16/18	0/1	None found in region analyzed.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	477	del G		Frameshift	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	Cap 40ug/ml, Vio <10ug/ml	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	548	C/T	183	Pro/Leu	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	CapVio	Cap 40ug/ml, Vio 20ug/ml	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	550	C/T	184	Gln/STOP	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	Cap 40ug/ml, Vio <10ug/ml	Proportion method	30/30	5/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	555	T/G	185	Phe/Leu	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	N.S.	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	586	del G		Frameshift	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	CapVio	Cap 40ug/ml, Vio 20ug/ml	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	653	del T		Frameshift	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	N.S.	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005 Feb		ins C	218	Frameshift	Published 2005	"Mutagenized M.smeg; also M.tb strains H37Rv, CDC1551, Beijing F2, and 18 clinical isolates obtained from CDC. N=18"	USA	Sequencing	Whole gene	HRESKCapVioAmI	K 20ug/ml	Proportion method	16/18	1/0	None found in region analyzed.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	673-674	del GT		Frameshift	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	N.S.	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005 Feb	708	AAT/AAG	236	Asn/Lys	Published 2005	"Mutagenized M.smeg; also M.tb strains H37Rv, CDC1551, Beijing F2, and 18 clinical isolates obtained from CDC. N=18"	USA	Sequencing	Whole gene	HSCapVio	K <5ug/ml Cap 80ug/ml	Proportion method	16/18	0/1	None found in region analyzed.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	712	G/A	238	Glu/Lys	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	Cap	N.S.	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+AG	tlyA	Maus CE AAC 2005	758	del C		Frameshift	Published 2005	"Resistance-selected M.tb strains H37Rv (n=11), CDC1551 (n=11), and Beijing F2 (n=8); also 18 clinical strains from CDC. Total N=48"	USA	Sequencing	Whole gene	CapVio	Cap 40ug/ml, Vio 20ug/ml	Proportion method	30/30	1/0	None identified specifically.																																																																																																																																																																																	
+
+ETHAMBUTOL [EMB]																																																																																																																																																																																																		
+																																																																																																																																																																																																		
+																																																																																																																																																																																																		
+	embC: arabinosyltransferase gene																																																																																																																																																																																																	
+Drug	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	Resistant isolates/Total isolates tested for mutation	Resistant/Sensitive isolates with mutation	Additional mutations																																																																																																																																																																																	
+EMB	embC	Sreevatsan S AAC 1997	13	GGT/AGT	5	Gly/Ser	Published 1997	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=118"	USA, Mexico, Europe, Yemen, the Philippines, Japan, India	PCR-SSCP, Sequencing	Whole gene	E	N.S.	BACTEC 460	16/19	1/0	
+EMB	embC	Srivastava S JMM 2009	730-732	GCG/ACC	244	Ala/Thr	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	E	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB E368A, S380R, P397Q, R460C; embC G288W, V303G; embR L172R"
+EMB	embC	Srivastava S JMM 2009	739-741	GCC/CCG	247	Ala/Pro	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EH	8ug/ml	Proportion method, E-Test	44/44	1/0	"embB A356F, A357V, L359I, E378A, A379D, Y384N, A388G, N399D; embC T270I, I297T"
+EMB	embC	Srivastava S CurrMicro 2006	752	CTG/CGT	251	Leu/Arg	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	12ug/ml	Proportion method, E-Test	23/23	1/0	Ala254Gly and Thr270Ile in embC. R/Tot and R/S calculated from Table 1.
+EMB	embC	Srivastava S CurrMicro 2006	761	GCC/GGC	254	Ala/Gly	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	12ug/ml	Proportion method, E-Test	23/23	1/0	Leu251Arg and Thr270Ile in embC. R/Tot and R/S calculated from Table 1.
+EMB	embC	Sreevatsan S AAC 1997	809	ACC/ATC	270	Thr/Ile	Published 1997	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=118"	USA, Mexico, Europe, Yemen, the Philippines, Japan, India	PCR-SSCP, Sequencing	Whole gene	E	N.S.	BACTEC 460, agar diffusion method	16/19	1/0	Met306Val in embB.
+EMB	embC	Srivastava S JMM 2009	809-810	ACC/ATT	270	Thr/Ile	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EH	4ug/ml	Proportion method, E-Test	44/44	1/0	embB G406A
+EMB	embC	Srivastava S JMM 2009	814-815	GGC/GAC	272	Gly/Ser	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EH	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB V360M, A431T; embC H285Y, M300R, A307T; embR A176V, I369T"
+EMB	embC	Srivastava S JMM 2009	853	CAT/TAT	285	His/Tyr	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EH	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB V360M, A431T; embC G272S, M300R, A307T; embR A176V, I369T"
+EMB	embC	Srivastava S JMM 2009	859-861	GTG/TTT	287	Val/Phe	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EH	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB A357S, A379T; embC Y309N; embR L320V, S326N, V350G, H351Q, R356G, I369T"
+EMB	embC	Srivastava S JMM 2009	862-864	GGC/TGG	288	Gly/Trp	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	E	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB E368A, S380R, P397Q, R460C; embC A244T, V303G; embR L172R"
+EMB	embC	Srivastava S JMM 2009	863-864	GGC/GTG	288	Gly/Val	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	96ug/ml	Proportion method, E-Test	44/44	1/0	"embB H312R, S317T, A356F, L359I, R367P; embC M310K, Y327N"
+EMB	embC	Srivastava S JMM 2009	886-888	TAT/CAT	296	Tyr/His	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306I; embC T270I, G308D, G325S"
+EMB	embC	Srivastava S JMM 2009	886-888	TAT/AGC	296	Tyr/Ser	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	embC R302G
+EMB	embC	Srivastava S JMM 2009	889-891	ATT/TTG	297	Ile/Leu	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	E	3ug/ml	Proportion method, E-Test	44/44	1/0	"embB G358V, E368Q, S380D, P397T, G406D, G448V; embC W326R"
+EMB	embC	Srivastava S JMM 2009	889-891	ATT/CTG	297	Ile/Leu	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	48ug/ml	Proportion method, E-Test	44/44	1/0	"embB V360M; embC A247P, W326R; embR V7G"
+EMB	embC	Srivastava S JMM 2009	890-891	ATT/ACC	297	Ile/Thr	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	4ug/ml	Proportion method, E-Test	44/44	1/0	"embB S347I, E368D, R460L; embR R230W, I396T"
+EMB	embC	Srivastava S JMM 2009	898-900	ATG/CGT	300	Met/Arg	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EH	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB V360M, A431T; embC G272S, H285Y, A307T; embR A176V, I369T"
+EMB	embC	Srivastava S JMM 2009	904-906	CGT/GGC	302	Arg/Gly	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	embC Y296S
+EMB	embC	Srivastava S JMM 2009	908-909	GTG/GGC	303	Val/Gly	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	E	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB E368A, S380R, P397Q, R460C; embC A244T, G288W; embR L172R"
+EMB	embC	Srivastava S JMM 2009	919-921	GCG/ACC	307	Ala/Thr	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EH	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB V360M, A431T; embC G272S, H285Y, M300R; embR A176V, I369T"
+EMB	embC	Srivastava S JMM 2009	923-924	GGC/GAT	308	Gly/Asp	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306I; embC T270I, Y296H', G325S"
+EMB	embC	Srivastava S JMM 2009	925-927	TAT/AAC	309	Tyr/Asn	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EH	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB A357S, A379T; embC V287F; embR L320V, S326N, V350G, H351Q, R356G, I369T"
+EMB	embC	Srivastava S JMM 2009	929-930	ATG/AAA	310	Met/Lys	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	96ug/ml	Proportion method, E-Test	44/44	1/0	"embB H312R, S317T, A356F, L359I, R367P; embC G288V, Y327N"
+EMB	embC	Srivastava S JMM 2009	973	GGC/AGC	325	Gly/Ser	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306I; embC T270I, Y296H, G308D"
+EMB	embC	Srivastava S JMM 2009	976-978	TGG/CGT	326	Trp/Arg	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	E	3ug/ml	Proportion method, E-Test	44/44	1/0	"embB G358V, E368Q, S380D, P397T, G406D, G448V; embC I297L"
+EMB	embC	Srivastava S JMM 2009	979-981	TAT/AAC	327	Tyr/Asn	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	96ug/ml	Proportion method, E-Test	44/44	1/0	"embB H312R, S317T, A356F, L359I, R367P; embC G288V, M310K"
+EMB	embC	Ramaswamy SV AAC 2000	1180	AAC/GAC	394	Asn/Asp	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	50ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	"Gly350Asp and Pro913Ser in embA; Leu276Arg in Rv3124; -12 G deletion in Rv0340."
+EMB	embC	Ramaswamy SV AAC 2000	2213	CGG/CAG	738	Arg/Gln	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	N.S.	BACTEC 460, agar diffusion method	75/108	1/0	"-16 C/T in embA;  Met306Ile in embB, Pro54Ser in RV3124."
+EMB	embC	Sreevatsan S AAC 1997	2941	GTG/CTG or GTG/TTG	981	Val/Leu	Published 1997	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=118"	USA, Mexico, Europe, Yemen, the Philippines, Japan, India	PCR-SSCP, Sequencing	Whole gene	E	15ug/ml	BACTEC 460, agar diffusion method	16/19		All three isolates also had a synonymous G/A substitution at nt 2898 of embA.
+																	
+	embA: arabinosyltransferase gene																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+EMB	embA	Ramaswamy SV AAC 2000	-43	del CG		Frameshift	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	20-30ug/ml	BACTEC 460	75/108	2/0	"Met306Ile in embB at MIC=20ug/ml; Gly406Ser in embB at MIC=30ug/ml."
+EMB	embA	Ramaswamy SV AAC 2000	-16	C/T			Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	10-40ug/ml	BACTEC 460	75/108	2/0	"Arg738Gln in embC, Met306Ile in embB, and Pro54Ser in Rv3124 at MIC=40ug/ml; Ser501Trp at MIC>10ug/mL."
+EMB	embA	Ramaswamy SV AAC 2000	-12	C/T			Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	30ug/ml	BACTEC 460	75/108	2/0	"Gln497Lys in embB in one isolate; Gln497Lys in embB and Ser501Trp in iniA in another isolate."
+EMB	embA	Ramaswamy SV AAC 2000	-11	C/A			Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	20ug/ml	BACTEC 460	75/108	1/0	Met306Ile in embB.
+EMB	embA	Ramaswamy SV AAC 2000	10	GAC/AAC	4	Asp/Asn	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	40ug/ml	BACTEC 460	75/108	1/0	Gly406Asp in embB
+EMB	embA	Ramaswamy SV AAC 2000	601	GCG/ACG	201	Ala/Thr	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	30ug/ml	BACTEC 460	75/108	1/0	Asp328Tyr and Tyr334His in embB.
+EMB	embA	Ramaswamy SV AAC 2000	961	GGC/AGC	321	Gly/Ser	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	10-30ug/ml	BACTEC 460	75/108	1/0	
+EMB	embA	Ramaswamy SV AAC 2000	1049	GGC/GAC	350	Gly/Asp	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	10-30ug/ml	BACTEC 460	75/108	2/0	
+EMB	embA	Ramaswamy SV AAC 2000	1385	GCG/GTG	462	Ala/Val	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	10-30ug/ml	BACTEC 460	75/108	1/0	
+EMB	embA	Ramaswamy SV AAC 2000	2498	GAC/GGC	833	Asp/Ala	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	10-30ug/ml	BACTEC 460	75/108	1/0	
+EMB	embA	Ramaswamy SV AAC 2000	2737	CCG/TCG	913	Pro/Ser	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	40-50ug/ml	BACTEC 460	75/108	2/0	"Gln351STOP in iniC at MIC=40ug/ml; Asn394Asp in embC, Gly350Asp in embA, Leu276Arg in Rv3124, and -24 G deletion in Rv0340, at MIC=50ug/ml."
+																	
+	embB: arabinosyltransferase gene																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+EMB	embB	Srivastava S CurrMicro 2006	383	GTC/GGG	128	Val/Gly	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	5ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Jain A IndJMedRes 2008	662-663	GCG/GGC	221	Ala/Gly	2002-2004		India	Sequencing	ERDR	EHRS	>20ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Jain A IndJMedRes 2008	673-674	GCG/AGC	225	Ala/Ser	2002-2004		India	Sequencing	ERDR	EHRS	>20ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Jain A IndJMedRes 2008	680-681	GTG/GGC	227	Val/Gly	2002-2004		India	Sequencing	ERDR	EHRS	>20ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Srivastava S CurrMicro 2006	716	CTC/CCC	239	Leu/Pro	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	256ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Srivastava S CurrMicro 2006	718	GAC/CAC	240	Asp/His	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	4ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Srivastava S JMM 2009	769-771	CGT/TGG	257	Arg/Trp	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embC V287F, Y309N; embR A176V, R230W, I369T"
+EMB	embB	Jain A IndJMedRes 2008	812	GCG/GTG	271	Ala/Val	2002-2004		India	Sequencing	ERDR	EHRS	>20ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Jain A IndJMedRes 2008	814	AGC/TGC	272	Ser/Cys	2002-2004		India	Sequencing	ERDR	EHRS	>20ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Jain A IndJMedRes 2008	815-816	AGC/ATT	272	Ser/Ile	2002-2004		India	Sequencing	ERDR	EHRS	>20ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Wu  X  Chinese J of Antibiotics 2002	821	CGC/CCC	274	Arg/Pro											
+EMB	embB	Jain A IndJMedRes 2008	841	GCG/CCG	281	Ala/Pro	2002-2004		India	Sequencing	ERDR	EHRS	>20ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Jain A IndJMedRes 2008	841-843	TTT/CTG	281	Phe/Leu	2002-2004		India	Sequencing	ERDR	EHRS	>20ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Srivastava S JMM 2009	845	GTG/GGG	282	Val/Gly	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	12ug/ml	Proportion method, E-Test	44/44	1/0	None in region embB, embC or embR'
+EMB	embB	Jain A IndJMedRes 2008	844	GTG/CTG	282	Val/Leu	2002-2004		India	Sequencing	ERDR	EHRS	>20ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Sreevatsan S AAC 1997	855	TTC/TTA	285	Phe/Leu	Published 1997	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=118"	USA, Mexico, Europe, Yemen, the Philippines, Japan, India	PCR-SSCP, Sequencing	Whole gene	E	N.S.	BACTEC 460, agar diffusion method	69/99	1/0	
+EMB	embB	Jain A IndJMedRes 2008	860-861	TTT/TGC	287	Phe/Cys	2002-2004		India	Sequencing	ERDR	EHRS	>20ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Jain A IndJMedRes 2008	859-861	TTT/GTG	287	Phe/Val	2002-2004		India	Sequencing	ERDR	EHRS	>20ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Jain A IndJMedRes 2008	878-879	ATT/AAC	293	Ile/Asn	2002-2004		India	Sequencing	ERDR	EHRS	>20ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Jain A IndJMedRes 2008	880	GGC/AGC	294	Gly/Ser	2002-2004		India	Sequencing	ERDR	EHRS	>20ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Srivastava S JMM 2009	888	AAT/AAA	296	Asn/Lys	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	16ug/ml	Proportion method, E-Test	44/44	1/0	"embB E368D, G406S; embC I297T"
+EMB	embB	Ramaswamy SV AAC 2000	889	TCG/GCG	297	Ser/Ala	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	10-50ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	
+EMB	embB	Plinke C AAC 2006	890	TCG/TTG	297	Ser/Leu	2001	"EMB-R isolates (n=101; 72 of them also R to RIF); MDR but not EMB-R isolates (n=33); and fully susceptible isolates (n=25). Total N=159."	Germany	Sequencing	ERDR	E + INH + RIF  	N.S.	Proportion method, BACTEC 460	101/159	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Srivastava S CurrMicro 2006	897	GAC/GAA	299	Asp/Glu	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	2-6ug/ml	Proportion method, E-Test	23/23	4/0	"Out of 4 isolates, 2 were WT in all other loci analyzed except for a synonymous mutation (GCA/GCC) at embB259. These isolates had MIC=4-6ug/ml. Both other isolates contained the embB mutation Glu378Ala (GAA/GCG); one of them was also mutated at embB Pro44"
+EMB	embB	Sreevatsan S AAC 1997	916	ATG/CTG	306	Met/Leu	Published 1997	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=76"	USA, Mexico, Europe, Yemen, the Philippines, Japan, India	PCR-SSCP, Sequencing	Whole gene	E	40ug/ml	BACTEC 460, agar diffusion method	69/99	1/0	
+EMB	embB	Lee HY YonseiMedJ 2002	916	ATG/TTG	306	Met/Leu	Published 2002	Clinical isolates obtained from the Korean Institute of TB, Seoul. N=26.	South Korea	Sequencing	Whole gene	E, 	2ug/ml	Proportion method	21/26	1/0	None in region amplified (see Gene coverage). 
+EMB	embB	Sreevatsan S AAC 1997	916	ATG/GTG	306	Met/Val	Published 1997	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=118"	USA, Mexico, Europe, Yemen, the Philippines, Japan, India	PCR-SSCP, Sequencing	Whole gene	E	40ug/ml	BACTEC 460, agar diffusion method	69/99	12/0	
+EMB	embB	Sreevatsan S AAC 1997	918	ATG/ATA	306	Met/Ile	Published 1997	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=118"	USA, Mexico, Europe, Yemen, the Philippines, Japan, India	PCR-SSCP, Sequencing	Whole gene	E	20ug/ml	BACTEC 460, agar diffusion method	69/99	11/0	
+EMB	embB	Sreevatsan S AAC 1997	918	ATG/ATT	306	Met/Ile	Published 1997	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=118"	USA, Mexico, Europe, Yemen, the Philippines, Japan, India	PCR-SSCP, Sequencing	Whole gene	E	20ug/ml	BACTEC 460, agar diffusion method	69/99	2/0	
+EMB	embB	Sreevatsan S AAC 1997	918	ATG/ATC	306	Met/Ile	Published 1997	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=118"	USA, Mexico, Europe, Yemen, the Philippines, Japan, India	PCR-SSCP, Sequencing	Whole gene	E	20ug/ml	BACTEC 460, agar diffusion method	69/99	3/0	
+EMB	embB	Lee HY YonseiMedJ 2002	917-918	ATG/ACG	306	Met/Thr	Published 2002	Clinical isolates obtained from the Korean Institute of TB, Seoul. N=26.	South Korea	Sequencing	ERDR	E	2ug/ml	Proportion method	21/26	1/0	None in region amplified (see Gene coverage). 
+EMB	embB	Srivastava S JMM 2009	926-927	GTG/GGC	309	Val/Gly	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	128ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306V, A310R, D311R, V369A, P375A, F398Y, P461S; embC T270I; embR G240R"
+EMB	embB	Srivastava S JMM 2009	928-930	GCG/CGT	310	Ala/Arg	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	128ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306V, V309G, D311R, V369A, P375A, F398Y, P461S; embC T270I; embR G240R"
+EMB	embB	Srivastava S JMM 2009	931-932	GAC/CGT	311	Asp/Arg	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	128ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306V, V309G, A310R, V369A, P375A, F398Y, P461S; embC T270I; embR G240R"
+EMB	embB	Srivastava S CurrMicro 2006	931	GAC/CAC	311	Asp/His	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	12ug/ml	Proportion method, E-Test	23/23	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Srivastava S JMM 2009	935	CAT/CGT	312	His/Arg	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	96ug/ml	Proportion method, E-Test	44/44	1/0	"embB S317T, A356F, L359I, R367P; embC G288V, M310K, Y327N"
+EMB	embB	Lee HY YonseiMedJ 2002	941	GGC/GCG	314	Gly/Ala	Published 2002	Clinical isolates obtained from the Korean Institute of TB, Seoul. N=26.	South Korea	Sequencing	ERDR	E	4ug/ml	Proportion method	21/26	1/0	Tyr322Cys on embB.
+EMB	embB	Tracevska T ResMicro 2004	941-942	GGC/GAG	314	Gly/Glu	"Published 2004; isolates collected in 2001-2002"	Patients with primary and relapsed pulmonary MDR-TB: 33 EMB-R and 33 EMB-S (N=66).	Latvia	Sequencing	ERDR	EHRS	N.S.	BACTEC radiorespiratory method (7.5ug/ml EMB), and absolute concentration method on L-J medium (cutoff 2.0ug/ml EMB)	33/66	1/0	None in region amplified (see Gene coverage). 
+EMB	embB	Srivastava S JMM 2009	943-945	TAT/CTG	315	Tyr/Leu	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	256ug/ml	Proportion method, E-Test	44/44	1/0	embB L239P, N318S, V377G, E378A, Y384N, N400K, V452L
+EMB	embB	Srivastava S JMM 2009	950	AGC/ACC	317	Ser/Thr	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	96ug/ml	Proportion method, E-Test	44/44	1/0	"embB H312R, A356F, L359I, R367P; embC G288V, M310K, Y327N"
+EMB	embB	Srivastava S JMM 2009	352	AAC/CAT	318	Asn/His	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	16ug/ml	Proportion method, E-Test	44/44	1/0	embC T270I
+EMB	embB	Srivastava S JMM 2009	953	AAC/AGC	318	Asn/Ser	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	256ug/ml	Proportion method, E-Test	44/44	1/0	embB L239P, Y315L, V377G, E378A, Y384N, N400K, V452L
+EMB	embB	Srivastava S JMM 2009	954	AAC/AAA	318	Asn/Lys	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	32ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306V, N368A, S380R, P397Q, G459A, R460C; embR T32P, D53H"
+EMB	embB	Sugawara I Jpn J Infect Dis 2005	955	TAT/GAT	319	Tyr/Cys											
+EMB	embB	Chan RCY JAC 2007	955	TAT/AAT	319	Tyr/Asn											
+EMB	embB	Sugawara I Jpn J Infect Dis 2005	956	TAT/TGT	319	Tyr/Cys											
+EMB	embB	Plinke C AAC 2006	956	TAT/TCT	319	Tyr/Ser	2001	"EMB-R isolates (n=101; 72 of them also R to RIF); MDR but not EMB-R isolates (n=33); and fully susceptible isolates (n=25). Total N=159."	Germany	Sequencing	ERDR	EHR	N.S.	Proportion method, BACTEC 460	101/159	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Lee HY YonseiMedJ 2002	965	TAT/TGT	322	Tyr/Cys	Published 2002	Clinical isolates obtained from the Korean Institute of TB, Seoul. N=26.	South Korea	Sequencing	ERDR	E	4ug/ml	Proportion method	21/26	1/0	Ala314Gly on embB.
+EMB	embB	Ramaswamy SV AAC 2000	982	GAT/TAT	328	Asp/Tyr	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	30ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	Ala201Thr in embA, Tyr334His in embB.
+EMB	embB	Ramaswamy SV AAC 2000	983	GAT/GGT	328	Asp/Gly	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	10-50ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	
+EMB	embB	Plinke C AAC 2006	983-984	GAT/GTG	328	Asp/Val	2001	"EMB-R isolates (n=101; 72 of them also R to RIF); MDR but not EMB-R isolates (n=33); and fully susceptible isolates (n=25). Total N=159."	Germany	Sequencing	ERDR	EHR	N.S.	Proportion method, BACTEC 460	101/159	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Escalante P TuberLung Dis 1998	983	del A	328	Frameshift	"Published 1998; isolates collected 1995-1996"	Isolates from patients with pulmonary, suspected drug-resistant TB on the basis of failure of treatment with first-line drugs. N=29	Peru	Sequencing	ERDR	E	N.S.	Proportion method	40146	1/0	None in region amplified (see Gene coverage).
+EMB	embB	Sreevatsan S AAC 1997	988	TTC/GTC	330	Phe/Val	Published 1997	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=118"	USA, Mexico, Europe, Yemen, the Philippines, Japan, India	PCR-SSCP, Sequencing	Whole gene	E	40ug/ml	BACTEC 460, agar diffusion method	69/99	1/0	
+EMB	embB	Srivastava S JMM 2009	991-993	GGC/CGT	331	Gly/Arg	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	ER	16ug/ml	Proportion method, E-Test	44/44	1/0	"embB V360M, G374V, G401S; embC I297T; embR D223E"
+EMB	embB	Lee HY YonseiMedJ 2002	991	GAT/TAT	331	Asp/Tyr	Published 2002	Clinical isolates obtained from the Korean Institute of TB, Seoul. N=26.	Korea	Sequencing	ERDR	E	4ug/ml	Proportion method	21/26	1/0	None in region amplified (see Gene coverage). 
+EMB	embB	Plinke C AAC 2006	994-995	TGG/CTG	332	Trp/Leu	2001	"EMB-R isolates (n=101; 72 of them also R to RIF); MDR but not EMB-R isolates (n=33); and fully susceptible isolates (n=25). Total N=159."	Germany	Sequencing	ERDR	EHR	N.S.	Proportion method, BACTEC 460	101/159	1/0	None in region amplified (see Gene coverage). R/Tot and R/S calculated from Table 1.
+EMB	embB	Sugawara I Jpn J Infect Dis 2005	997	TAT/CAT	333	Tyr/His											
+EMB	embB	Ramaswamy SV AAC 2000	1000	TAC/CAC	334	Tyr/His	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	30ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	Ala201Thr in embA, Asp328Tyr in embB.
+EMB	embB	Escalante P TuberLung Dis 1998	1040	AGT/ACT	347	Ser/Thr	"Published 1998; isolates collected 1995-1996"	Isolates from patients with pulmonary, suspected drug-resistant TB on the basis of failure of treatment with first-line drugs. N=29	Peru	Sequencing	ERDR	E	N.S.	Proportion method	40146	1/0	None in region amplified (see Gene coverage).
+EMB	embB	Srivastava S JMM 2009	1040	AGT/ATT	347	Ser/Ile	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	4ug/ml	Proportion method, E-Test	44/44	1/0	"embB E368D, R460L; embC I297T; embR R230W, I396T"
+EMB	embB	Srivastava S JMM 2009	1066-1068	GCG/TTT	356	Ala/Phe	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	96ug/ml	Proportion method, E-Test	44/44	1/0	"embB H312R, S317T, L359I, R367P; embC G288V, M310K, Y327N"
+EMB	embB	Srivastava S JMM 2009	1066-1068	GCG/AGC	356	Ala/Ser	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB D299E, P371R, E378K; embR R230W, L292M, L303E"
+EMB	embB	Srivastava S JMM 2009	1067	GCG/GTG	356	Ala/Val	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306L, S366P, W395R, A434G, V435G, V436G, T437A; embC T270I"
+EMB	embB	Srivastava S JMM 2009	1069-1071	GCG/AGC	357	Ala/Ser	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB A379T; embC V287F, Y309N; embR L320V S326N, V350G, H351Q, R356G, I369T"
+EMB	embB	Srivastava S JMM 2009	1070	GCG/GTG	357	Ala/Val	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	8ug/ml	Proportion method, E-Test	44/44	1/0	"embB A356F, L359I, E378A, A379D, Y384N, A388G, N399D, G406P; embC A247P, T270I, I297T"
+EMB	embB	Srivastava S JMM 2009	1073-1074	GGC/GTG	358	Gly/Val	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	3ug/ml	Proportion method, E-Test	44/44	1/0	"embB E368Q, S380D, P397T, G406D, G448V; embC I287L, W326R"
+EMB	embB	Srivastava S JMM 2009	1075-1077	CTG/ATT	359	Leu/Ile	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	96ug/ml	Proportion method, E-Test	44/44	1/0	"embB H312R, S317T, A356F, R367P; embC G288V, M310K, Y327N"
+EMB	embB	Srivastava S JMM 2009	1078	GTG/ATG	360	Val/Met	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	ER	16ug/ml	Proportion method, E-Test	44/44	1/0	"embB G331R, G374V, G401S; embC I297T; embR D223E"
+EMB	embB	Srivastava S JMM 2009	1096	AGC/CCG	366	Ser/Pro	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306L, A356V, W395R, A434G, V435G, V436G, T437A; embC T270I"
+EMB	embB	Srivastava S JMM 2009	1100-1101	CGT/CCG	367	Arg/Pro	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	96ug/ml	Proportion method, E-Test	44/44	1/0	"embB H312R, S317T, A356F, L359I; embC G288V, M310K, Y327N"
+EMB	embB	Srivastava S JMM 2009	1102-1104	GAA/CAG	368	Glu/Gln	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	3ug/ml	Proportion method, E-Test	44/44	1/0	"embB G358V, S380D, P397T, G406D, G448V; embC I287L, W326R"
+EMB	embB	Srivastava S JMM 2009	1104	GAA/GAT	368	Glu/Asp	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	4ug/ml	Proportion method, E-Test	44/44	1/0	"embB S347I, R460L; embC I297T; embR R230W, I396T"
+EMB	embB	Srivastava S CurrMicro 2006	1103-1104	GAA/GCG	368	Glu/Ala	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	32ug/ml	Proportion method	23/23	1/0	Met306Val, Ser380Arg, and Pro397Gln on embB. 
+EMB	embB	Srivastava S JMM 2009	1105	GTG/CTG	369	Val/Leu	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	12ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306I; embC L251R, A354G, T270I"
+EMB	embB	Srivastava S JMM 2009	1106	GTG/GCG	369	Val/Ala	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	128ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306V, V309G, A310R, D311R, P375A, F398Y, P461S; embC T270I; embR G240R"
+EMB	embB	Srivastava S JMM 2009	1109-1110	CTG/CGT	370	Leu/Arg	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	embB V377M, E378A, F398H, N399H, E405P, G406A
+EMB	embB	Srivastava S JMM 2009	1112-1113	CCG/CGT	371	Pro/Arg	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB D299E, A356S, E378K; embR R230W, L292M, L303E"
+EMB	embB	Srivastava S JMM 2009	1121-1122	GGC/GTG	374	Gly/Val	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EH	4ug/ml	Proportion method, E-Test	44/44	1/0	"embC W395C, N400P; embC G288W, V303G; embR A187V, R230W, I369T"
+EMB	embB	Srivastava S JMM 2009	1123-1124	CCG/GCG	375	Pro/Ala	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	128ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306V, V309G, A310R, D311R, V369A, F398Y, P461S; embC T270I; embR G240R"
+EMB	embB	Srivastava S JMM 2009	1129	GTG/ATG	377	Val/Met	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	embB L370R, E378A, F398H, N399H, E405P, G406A
+EMB	embB	Srivastava S JMM 2009	1130-1131	GTG/GGC	377	Val/Gly	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	256ug/ml	Proportion method, E-Test	44/44	1/0	embB L239P, Y315L, N318S, E378A, Y384N, N400K, V452L
+EMB	embB	Srivastava S JMM 2009	1132	GAA/AAA	378	Glu/Lys	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB D299E, A356S, P371R; embR R230W, L292M, L303E"
+EMB	embB	Srivastava S CurrMicro 2006	1103-1104	GAA/GCG	378	Glu/Ala	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	2ug/ml	Proportion method	23/23	2/0	Both of these isolates were mutated at embB Asp299Glu. One was also mutated at embB Pro446His and Ile465Asp, as well as embC Thr270Ile and 254 Synonymous (GCC/GCG). The other isolate was mutated at embBArg469Pro and Arg 471Pro. R/Tot and R/S calculated fr
+EMB	embB	Srivastava S JMM 2009	1135-1137	GCG/ACC	379	Ala/Thr	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB A357S; embC V287F, Y309N; embR L320V S326N, V350G, H351Q, R356G, I369T"
+EMB	embB	Srivastava S JMM 2009	1136-1137	GCG/GAT	379	Ala/Asp	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	8ug/ml	Proportion method, E-Test	44/44	1/0	"embB A356F, A357V, L359I, E378A, Y384N, A388G, N399D, G406P; embC A247P, T270I, I297T"
+EMB	embB	Srivastava S CurrMicro 2006	1138-1140	AGC/CGT	380	Ser/Arg	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	 32ug/ml	Proportion method	23/23	1/0	Met306Val, Glu368Ala, and Pro397Gln on embB. R/Tot and R/S calculated from Table 1.
+EMB	embB	Srivastava S JMM 2009	1139	AGC/AAC	380	Ser/Asp	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	3ug/ml	Proportion method, E-Test	44/44	1/0	"embB G358V, E368Q, P397T, G406D, G448V; embC I287L, W326R"
+EMB	embB	Srivastava S JMM 2009	1150-1152	TAT/AAC	384	Tyr/Asn	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	256ug/ml	Proportion method, E-Test	44/44	1/0	embB L239P, Y315L, N318S, V377G, E378A,  N400K, V452L
+EMB	embB	Srivastava S JMM 2009	1163-1164	GCG/GGC	388	Ala/Gly	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	8ug/ml	Proportion method, E-Test	44/44	1/0	"embB A356F, A357V, L359I, E378A, A379D, Y384N, N399D, G406P; embC A247P, T270I, I297T"
+EMB	embB	Srivastava S JMM 2009	1183-1185	TGG/CGT	395	Trp/Arg	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306L, A356V, S366P, A434G, V435G, V436G, T437A; embC T270I"
+EMB	embB	Srivastava S JMM 2009	1185	TGG/TGC	395	Trp/Cys	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EH	4ug/ml	Proportion method, E-Test	44/44	1/0	"embC G374V, N400P; embC G288W, V303G; embR A187V, R230W, I369T"
+EMB	embB	Srivastava S JMM 2009	1189-1190	CCG/ACC	397	Pro/Thr	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	3ug/ml	Proportion method, E-Test	44/44	1/0	"embB G358V, E368Q, S380D, G406D, G448V; embC I287L, W326R"
+EMB	embB	Srivastava S CurrMicro 2006	1190	CCG/CAG	397	Pro/Gln	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	 32ug/ml	Proportion method	23/23	1/0	Met306Val, Glu368Ala, and Ser380Arg on embB. R/Tot and R/S calculated from Table 1.
+EMB	embB	Srivastava S JMM 2009	1192-1193	TTT/CAT	398	Phe/His	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	embB L370R, V377M, E378A, N399H, E405P, G406A
+EMB	embB	Srivastava S JMM 2009	1193	TTT/TAT	398	Phe/Tyr	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	128ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306V, V309G, A310R, D311R, V369A, P375A, P461S; embC T270I; embR G240R"
+EMB	embB	Srivastava S JMM 2009	1195-1196	TTT/GAT	399	Asn/Asp	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	8ug/ml	Proportion method, E-Test	44/44	1/0	"embB A356F, A357V, L359I, E378A, A379D, Y384N, A388G, G406P; embC A247P, T270I, I297T"
+EMB	embB	Srivastava S JMM 2009	1195-1196	TTT/CAT	399	Asn/His	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	embB L370R, V377M, E378A, F398H, E405P, G406A
+EMB	embB	Srivastava S JMM 2009	1198-1200	AAC/CCG	400	Asn/Pro	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EH	4ug/ml	Proportion method, E-Test	44/44	1/0	"embC G374V, W395C; embC G288W, V303G; embR A187V, R230W, I369T"
+EMB	embB	Srivastava S JMM 2009	1200	AAC/AAA	400	Asn/Lys	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	256ug/ml	Proportion method, E-Test	44/44	1/0	embB L239P, Y315L, N318S, E378A, Y384N, V452L
+EMB	embB	Srivastava S JMM 2009	1203	ACG/ACA	401	Gly/Ser	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	ER	16ug/ml	Proportion method, E-Test	44/44	1/0	"embB G331R, G374V, G374V; embC I297T; embR D223E"
+EMB	embB	Srivastava S JMM 2009	1213-1214	GAA/CCG	405	Glu/Pro	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	embB L370R, V377M, E378A, F398H, N399H, G406A
+EMB	embB	Srivastava S JMM 2009	1216	GGC/CCG	406	Gly/Pro	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	8ug/ml	Proportion method, E-Test	44/44	1/0	"embB A356F, A357V, L359I, E378A, A379D, Y384N, A388G, N399D; embC A247P, T270I, I297T"
+EMB	embB	Ramaswamy SV AAC 2000	1216	GGC/AGC	406	Gly/Ser	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	30ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	-43 CG deletion in embA.
+EMB	embB	Ramaswamy SV AAC 2000	1216	GGC/TGC	406	Gly/Cys	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	30-50ug/ml	BACTEC 460, agar diffusion method	75/108	2/0	
+EMB	embB	Srivastava S JMM 2009	1217	GGC/GAT	406	Gly/Asp	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	3ug/ml	Proportion method, E-Test	44/44	1/0	"embB G358V, E368Q, S380D, P397T, G448V; embC I287L, W326R"
+EMB	embB	Ramaswamy SV AAC 2000	1217	GGC/GAC	406	Gly/Asp	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	40ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	Asp4Asn in embA
+EMB	embB	Ramaswamy SV AAC 2000	1217	GGC/GCC	406	Gly/Ala	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	20ug/ml	BACTEC 460, agar diffusion method	75/108	2/0	In one of the isolates, -11 C/A in embA and Met306Ile in embB.
+EMB	embB	Srivastava S CurrMicro 2006	1190	GGC/GCG	406	Gly/Ala	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	 32ug/ml	Proportion method	23/23	1/0	Met306Val, Glu368Ala, and Ser380Arg on embB. R/Tot and R/S calculated from Table 1.
+EMB	embB	Lee AS AAC 2004	1269	ATG/ATA	423	Met/Ile	Published 2004	EMB-R (n=25) and EMB-S (n=20) isolates. Total N=45.	Singapore	Sequencing	Whole gene	EI	N.S.	BACTEC 460	25/45	1/0	None in region amplified (see Gene coverage). 
+EMB	embB	Srivastava S JMM 2009	1289	CCG/CTG	430	Pro/Leu	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB G406D, A431T; embC I297T"
+EMB	embB	Srivastava S JMM 2009	1291-1293	GCG/ACC	431	Ala/Thr	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB G406D,P430L; embC I297T"
+EMB	embB	Srivastava S JMM 2009	1301-1302	GCG/GGC	434	Arg/Gly	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306L, A356V, S366P, W395R, V435G, V436G, T437A; embC T270I"
+EMB	embB	Srivastava S JMM 2009	1304-1305	GTG/GGC	435	Val/Gly	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306L, A356V, S366P, W395R, A434G, V436G, T437A; embC T270I"
+EMB	embB	Srivastava S JMM 2009	1307-1308	GTG/GGC	436	Val/Gly	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306L, A356V, S366P, W395R, A434G, V435G, T437A; embC T270I"
+EMB	embB	Srivastava S JMM 2009	1309-1311	ACC/GCG	437	Thr/Ala	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306L, A356V, S366P, W395R, A434G, V435G, V436G; embC T270I"
+EMB	embB	Srivastava S CurrMicro 2006	1337-1338	CCG/CAT	446	Pro/His	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	2ug/ml	Proportion method, E-Test	23/23	1/0	"Asp299Glu, Glu378Ala, and Ile465Asp in embB; Thr270Ile and 254 Synonymous (GCC/GCG) in embC. R/T and R/S calculated from Table 1."
+EMB	embB	Srivastava S JMM 2009	1343-1344	GGC/GTG	448	Gly/Val	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	3ug/ml	Proportion method, E-Test	44/44	1/0	"embB G358V, E368Q, S380D, P397T, G406D; embC I287L, W326R"
+EMB	embB	Srivastava S JMM 2009	1354	GTG/CTG	452	Val/Leu	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	256ug/ml	Proportion method, E-Test	44/44	1/0	embB L239P, Y315L, N318S, E378A, Y384N, N400K
+EMB	embB	Srivastava S JMM 2009	1376-1377	GGC/GCG	459	Gly/Ala	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	32ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306V, N318K, N368A, S380R, P397Q,  R460C; embR T32P, D53H"
+EMB	embB	Srivastava S JMM 2009	1378-1380	CGT/TGC	460	Arg/Cys	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB E368A, S380R, P397Q; embC A244T, G288W, V303G embR L172R"
+EMB	embB	Srivastava S JMM 2009	1379-1380	CGT/CTG	460	Arg/Leu	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	4ug/ml	Proportion method, E-Test	44/44	1/0	"embB S347I, E368D; embC I297T; embR R230W, I396T"
+EMB	embB	Srivastava S JMM 2009	1381-1383	CCG/AGC	461	Pro/Ser	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	128ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306V, V309G, A310R, D311R, V369A, P375A, F398Y; embC T270I; embR G240R"
+EMB	embB	Srivastava S CurrMicro 2006	1393-1394	ATT/GAT	465	Ile/Asp	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	2ug/ml	Proportion method, E-Test	23/23	1/0	"Asp299Glu, Glu378Ala, and Pro446His in embB; Thr270Ile and 254 Synonymous (GCC/GCG) in embC. R/T and R/S calculated from Table 1."
+EMB	embB	Srivastava S CurrMicro 2006	1406-1407	CGT/CCG	469	Arg/Pro	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	2ug/ml	Proportion method, E-Test	23/23	1/0	Asp299Glu, Glu378Ala, and Arg471Pro in embB. R/T and R/S calculated from Table 1.
+EMB	embB	Srivastava S CurrMicro 2006	1412-1413	CGT/CCG	471	Arg/Pro	Published 2006	"Isolates from patients with pulmonary tuberculosis; all samples EMB-R. N=23"	India	Sequencing	ERDR	E, EHR, HR, EH	2ug/ml	Proportion method, E-Test	23/23	1/0	Asp299Glu, Glu378Ala, and Arg469Pro in embB. R/T and R/S calculated from Table 1.
+EMB	embB	Ramaswamy SV AAC 2000	1490	CAG/CGG	497	Gln/Arg	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	30-50ug/ml	BACTEC 460, agar diffusion method	75/108	3/0	In one of the isolates: -12 C/T in embA, Ser501Trp in iniA.
+EMB	embB	Ramaswamy SV AAC 2000	1490	CAG/AAG	497	Gln/Lys	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	30-50ug/ml	BACTEC 460, agar diffusion method	75/108	2/0	"-12 C/T in embA at MIC=30ug/ml; -89 C/T in iniB at MIC>50ug/ml."
+EMB	embB	Sreevatsan S AAC 1997	1889	ACC/ATC	630	Thr/Ile	Published 1997	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=118"	USA, Mexico, Europe, Yemen, the Philippines, Japan, India	PCR-SSCP, Sequencing	Whole gene	E	>40ug/ml	BACTEC 460, agar diffusion method	69/99	2/0	
+EMB	embB	Lee AS AAC 2004	1975	GCG/ACG	659	Ala/Thr	Published 2004	EMB-R (n=25) and EMB-S (n=20) isolates. Total N=45.	Singapore	Sequencing	Whole gene	ES	N.S.	BACTEC 460	25/45	0/1	None in region amplified (see Gene coverage). 
+EMB	embB	Ramaswamy SV AAC 2000	2234	GGC/GAC	745	Gly/Asp	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	40ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	Gly308Arg in iniA
+EMB	embB	Ramaswamy SV AAC 2000	2876	GAC/GCC	959	Asp/Ala	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	10-50ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	
+EMB	embB	Ramaswamy SV AAC 2000	2999	ATG/AGG	1000	Met/Arg	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	10-50ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	
+EMB	embB	Ramaswamy SV AAC 2000	3070	GAC/AAC	1024	Asp/Asn	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	10-50ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	
+																	
+	embR (Rv1267c): putative regulator																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+EMB	embR	Ramaswamy SV AAC 2000	-273	ins A	-273	intergenic	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	20-40ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	
+EMB	embR	Srivastava S JMM 2009	20-21	GTG/GGC	7	Val/Gly	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	48ug/ml	Proportion method, E-Test	44/44	1/0	"embB V360M; embC A247P, I297L, W326R"
+EMB	embR	Srivastava S JMM 2009	94-96	ACC/CCG	32	Thr/Pro	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	32ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306V, N318K, E368A, S380R, P397Q, G459A, R460C; embR D53H"
+EMB	embR	Srivastava S JMM 2009	157	GAT/CAT	53	Asp/His	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	32ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306V, N318K, E368A, S380R, P397Q, G459A, R460C; embR T32P"
+EMB	embR	Srivastava S JMM 2009	329-330	TGC/TAT	110	Cys/Tyr	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	8ug/ml	Proportion method, E-Test	44/44	1/0	embC G288W, V303G
+EMB	embR	Srivastava S JMM 2009	515-516	CTG/CGT	172	Leu/Arg	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	4ug/ml	Proportion method, E-Test	44/44	1/0	"embB E368A, S380R, P397Q, R460C; embC A244T, G288W, V303G"
+EMB	embR	Srivastava S JMM 2009	527	GCG/GTG	176	Ala/Val	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB V360M, A431T; embC G272S, H285Y, M300R, A307T; embR I369T"
+EMB	embR	Srivastava S JMM 2009	556-558	CGT/GGC	186	Arg/Gly	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	24ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306L, E368A, S380R, P397Q, R460C; embC I297T; embR S188R, E200A, L211M"
+EMB	embR	Srivastava S JMM 2009	559-560	GCG/GTG	187	Ala/Val	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	4ug/ml	Proportion method, E-Test	44/44	1/0	"embB G374V, W395C, N400P; embC G288W, V303G; embR R230W, I369T"
+EMB	embR	Srivastava S JMM 2009	541-543	AGC/CGT	188	Ser/Arg	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB D299E, E378A, R469P, R471P; embR L211M, L320V"
+EMB	embR	Srivastava S JMM 2009	599-600	GAA/GCG	200	Glu/Ala	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	24ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306L, E368A, S380R, P397Q, R460C; embC I297T; embR S186G, S188R, L211M"
+EMB	embR	Srivastava S JMM 2009	631	CTG/ATG	211	Leu/Met	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB D299E, E378A, R469P, R471P; embR S188R, L320V"
+EMB	embR	Srivastava S JMM 2009	669	GAT/GAA	223	Asp/Glu	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	16ug/ml	Proportion method, E-Test	44/44	1/0	"embB G331R, V360M, G374V, G401S; embC I297T"
+EMB	embR	Srivastava S JMM 2009	688-690	CGT/TGG	230	Arg/Trp	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	4ug/ml	Proportion method, E-Test	44/44	1/0	"embB S347I, E368D, R460L; embC I297T; embR I396T"
+EMB	embR	Srivastava S JMM 2009	718-720	GGC/CGT	240	Gly/Arg	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	128ug/ml	Proportion method, E-Test	44/44	1/0	"embB M306V, V309G, A319R, D311R, V369A, P375A, F398Y, P461S;  embC T270I"
+EMB	embR	Srivastava S JMM 2009	874	CTG/ATG	292	Leu/Met	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB D299E, A356S, P371R, E378K;  embR R230W, L303E"
+EMB	embR	Srivastava S JMM 2009	907-909	CTG/GAA	303	Leu/Glu	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	6ug/ml	Proportion method, E-Test	44/44	1/0	"embB D299E, A356S, P371R, E378K;  embR R230W, L292M"
+EMB	embR	Srivastava S JMM 2009	958	CTG/GTG	320	Leu/Val	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB D299E, E378A, R469P, R471P; embR S188R, L211M"
+EMB	embR	Srivastava S JMM 2009	977	AGC/AAC	326	Ser/Asn	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB A357S, A379T; embC V287F, Y309N; embR L320V, V350G, H351Q, R356G, I369T"
+EMB	embR	Srivastava S JMM 2009	1049-1050	GTG/GGC	350	Val/Gly	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB A357S, A379T; embC V287F, Y309N; embR L320V, S326N, H351Q, R356G, I369T"
+EMB	embR	Srivastava S JMM 2009	1053	CAT/CAG	351	His/Glu	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB A357S, A379T; embC V287F, Y309N; embR L320V, S326N, V350G, R356G, I369T"
+EMB	embR	Srivastava S JMM 2009	1066-1068	CGT/GGC	356	Arg/Gly	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB A357S, A379T; embC V287F, Y309N; embR L320V, S326N, V350G, H351Q, I369T"
+EMB	embR	Srivastava S JMM 2009	1106-1107	ATT/ACC	369	Ile/Thr	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	2ug/ml	Proportion method, E-Test	44/44	1/0	"embB A357S, A379T; embC V287F, Y309N; embR L320V, S326N, V350G, H351Q, R356G"
+EMB	embR	Ramaswamy SV AAC 2000	1136	CAG/CGG	379	Gln/Arg	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	20-40ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	
+EMB	embR	Srivastava S JMM 2009	1187-1188	ATT/ACC	396	Ile/Thr	Published 2009	44 isolates from unrelated adult patients with pulmonary TB. 	India	Sequencing	Whole gene	EHR	4ug/ml	Proportion method, E-Test	44/44	1/0	"embB S347I, E368D, R460L; embC I297T; embR R230W"
+																	
+																	
+	Rv3124: putative regulator																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+EMB	Rv3124	Ramaswamy SV AAC 2000	-16	A/G		intergenic	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	10ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	Met306Ile in embB.
+EMB	Rv3125	Ramaswamy SV AAC 2000			54	Pro/Ser	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	40ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	Arg728Gln in embC, -16 C/T in embA, and  Met306Ile in embB.
+EMB	Rv3126	Ramaswamy SV AAC 2000			276	Leu/Arg	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	50ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	Asn396Asp in embC, Gly350Asp and Pro913Ser in embA and -12 G deletion in Rv0340.
+																	
+	Rv0340: EMB-induced gene																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+EMB	Rv0340	Ramaswamy SV AAC 2000	-24	del G			Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	N.S.	BACTEC 460, agar diffusion method	75/108	1/0	Asn396Asp in embC, Gly350Asp and Pro913Ser in embA, and Leu276Arg in Rv3124.
+EMB	Rv0340	Ramaswamy SV AAC 2000			173	Thr/Met	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	N.S.	BACTEC 460, agar diffusion method	75/108	3/2	"All three resistant isolates also had resistance-associated mutations in embC (n=1) or embB (n=3); see Note."
+																	
+	iniB: INH- and EMB-induced gene																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+EMB	iniB	Ramaswamy SV AAC 2000	-89	C/T			Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	>50ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	Gln497Lys in embB.
+EMB	iniB	Ramaswamy SV AAC 2000			47	Ala/Thr	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	30ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	
+																	
+	iniA: INH- and EMB-induced gene														75/108	7/0	
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+EMB	iniA	Ramaswamy SV AAC 2000			308	Gly/Arg	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	>50ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	Gly745Asp in embB
+EMB	iniA	Ramaswamy SV AAC 2000			501	Ser/Trp	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	>50ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	"Two of the seven isolates had the single mutation only, with MICs>50ug/ml; the other five strains each had one or more of the following mutations, with MICs of 5-30ug/ml: one with -12 C/T in embA and Gln497Arg i [...]
+																	
+	iniC: INH- and EMB-induced gene																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+EMB	iniC	Ramaswamy SV AAC 2000			248	Pro/Ala	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	5ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	Ser501Trp in iniA.
+EMB	iniC	Ramaswamy SV AAC 2000			351	Gln/STOP	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	40ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	Pro913Ser in embA.
+																	
+	rmlA2: EMB-induced gene																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+EMB	rmlA2	Ramaswamy SV AAC 2000			152	Asp/Asn	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	>50ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	Met305Ile in embB.
+																	
+	rmlD: EMB-induced gene																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+EMB	rmlD	Ramaswamy SV AAC 2000	-71	G/T			Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	>50ug/ml	BACTEC 460, agar diffusion method	75/108	2/0	
+EMB	rmlD	Ramaswamy SV AAC 2000			257	Ser/Pro	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	>50ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	No other resistance-associated mutations in the other 11 genes sequenced in the paper.
+EMB	rmlD	Ramaswamy SV AAC 2000			284	Thr/Lys	Published 2000	"Isolates from patients with pulmonary and extrapulmonary TB; resistant and susceptible isolates obtained from same areas. N=108"	USA, Russia	Sequencing	Whole gene	E	>50ug/ml	BACTEC 460, agar diffusion method	75/108	1/0	
+
+ETHIONAMIDE [ETH]																	
+																	
+	inhA																
+Drug	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	Resistant isolates/Total isolates tested for mutation	Resistant/Sensitive isolates with mutation	Additional mutations
+ETH	inhA	Lee H IntJTuberLungDis 2000	280	TCG/GCG	94	Ser/Ala	Published 2000	"Clinical M.tb isolates; 12 INH-R only and 12 INH-R + ETH-R; none were involved in a single major outbreak of the disease (and so less likely to be related). N=24"	Korea	Sequencing	nt 174-384	HEth, HREth	N.S.	Proportion method.	12/24	0/0	Mutations in the regulatory region (mabA) were found.
+ETH	inhA	Ristow M Lancet 1995	304-305	AT/CC	95	Ile/Pro	Published 1995	Clinical M.tb isolates, including pan-susceptible (n=5), INH-R only (n=10), ETH-R only (n=4), INH-R and ETH-R (n=6), and resistant to INH and two or more other drugs (n=22). Total N=47	Germany, Nepal	Sequencing	region around inhA 94	MDR	N.S.	Proportion method.	32/47	7/0	None found in the fragment analyzed.
+																	
+	ethA/etaA (Rv3854c)																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+ETH	ethA/etaA	DeBarber AE PNAS 2000	65	del 1nt		frameshift	Published 2000	"Clinical isolates of MDR-M.tb (n=14); one ETA-monoresistant strain generated in vitro. N=15."	South Africa	Sequencing	Whole gene	Eth	N.S.	Proportion method.	11/15	1/0	None found in region analyzed.
+ETH	ethA/etaA	Morlock GP AAC 2003	110	del A		frameshift	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	>200ug/ml	Microplate almar blue assay	41/41	1/0	katG Ser315Thr
+ETH	ethA/etaA	DeBarber AE PNAS 2000	127	GGC/TGC	43	Gly/Cys	Published 2000	"Clinical isolates of MDR-M.tb (n=14); one ETA-monoresistant strain generated in vitro. N=15."	South Africa.	Sequencing	Whole gene	HEth	N.S.	Proportion method.	11/15	1/0	None found in region analyzed.
+ETH	ethA/etaA	Morlock GP AAC 2003	127	GGC/AGC	43	Gly/Ser	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	>200ug/ml	Microplate almar blue assay	41/41	1/0	katG Ser315Thr
+ETH	ethA/etaA	DeBarber AE PNAS 2000	152	CCC/CTC	51	Pro/Leu	Published 2000	"Clinical isolates of MDR-M.tb (n=14); one ETA-monoresistant strain generated in vitro. N=15."	South Africa	Sequencing	Whole gene	EthL	N.S.	Proportion method.	11/15	1/0	None found in region analyzed.
+ETH	ethA/etaA	Morlock GP AAC 2003	167	GAC/GCC	55	Asp/Ala 	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	>200ug/ml	Microplate almar blue assay	41/41	1/0	katG Gly279Asp, mabA -15 C/T
+ETH	ethA/etaA	DeBarber AE PNAS 2000	173	GAC/GCC	58	Asp/Ala	Published 2000	"Clinical isolates of MDR-M.tb (n=14); one ETA-monoresistant strain generated in vitro. N=15."	South Africa	Sequencing	Whole gene	Eth	N.S.	Proportion method.	11/15	1/0	None found in region analyzed.
+ETH	ethA/etaA	DeBarber AE PNAS 2000	250	TAC/GAC	84	Tyr/Asp	Published 2000	"Clinical isolates of MDR-M.tb (n=14); one ETA-monoresistant strain generated in vitro. N=15."	South Africa	Sequencing	Whole gene	Eth	N.S.	Proportion method.	11/15	1/0	None found in region analyzed.
+ETH	ethA/etaA	Morlock GP AAC 2003	338	ins A		frameshift	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	100ug/ml	Microplate almar blue assay	41/41	1/0	katG Ser315Thr
+ETH	ethA/etaA	DeBarber AE PNAS 2000	557	ACG/AAG	186	Thr/Lys	Published 2000	"Clinical isolates of MDR-M.tb (n=14); one ETA-monoresistant strain generated in vitro. N=15."	South Africa	Sequencing	Whole gene	Eth	N.S.	Proportion method.	11/15	1/0	None found in region analyzed.
+ETH	ethA/etaA	Morlock GP AAC 2003	667	GAG/AAG	223	Glu/Lys	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	50ug/ml	Microplate almar blue assay	41/41	1/0	mabA -15 C/T
+ETH	ethA/etaA	Morlock GP AAC 2003	703	del T		frameshift	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	>200ug/ml	Microplate almar blue assay	41/41	1/0	katG Ser315Thr
+ETH	ethA/etaA	Morlock GP AAC 2003	736	CAG/TAG	246	Gln/STOP	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	>200ug/ml	Microplate almar blue assay	41/41	1/0	mabA -15 C/T
+ETH	ethA/etaA	Morlock GP AAC 2003	768	del G		frameshift	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	>200ug/ml	Microplate almar blue assay	41/41	1/0	katG Ser315Thr
+ETH	ethA/etaA	DeBarber AE PNAS 2000	811	ins 1 bp		frameshift	Published 2000	"Clinical isolates of MDR-M.tb (n=14); one ETA-monoresistant strain generated in vitro. N=15."	South Africa	Sequencing	Whole gene	HEth	N.S.	Proportion method.	11/15	1/0	None found in region analyzed.
+ETH	ethA/etaA	DeBarber AE PNAS 2000	1025	ACG/AAG	342	Thr/Lys	Published 2000	"Clinical isolates of MDR-M.tb (n=14); one ETA-monoresistant strain generated in vitro. N=15."	South Africa	Sequencing	Whole gene	HEth	N.S.	Proportion method.	11/15	3/0	None found in region analyzed.
+ETH	ethA/etaA	Morlock GP AAC 2003	1013	ATC/AGC	338	Ile/Ser	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	200ug/ml	Microplate almar blue assay	41/41	1/0	katG Ser315Thr, mabA -15 C/T
+ETH	ethA/etaA	DeBarber AE PNAS 2000	1141	GCC/CCC	381	Ala/Pro	Published 2000	"Clinical isolates of MDR-M.tb (n=14); one ETA-monoresistant strain generated in vitro. N=15."	South Africa	Sequencing	Whole gene	HEth	N.S.	Proportion method.	11/15	2/0	None found in region analyzed.
+ETH	ethA/etaA	Morlock GP AAC 2003	1154	GGC/GAC	385	Gly/Asp	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	>200ug/ml	Microplate almar blue assay	41/41	1/0	katG Ser315Thr, mabA -15 C/T
+ETH	ethA/etaA	Morlock GP AAC 2003	1174	ACG/GCG	392	Thr/Ala	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	>200ug/ml	Microplate almar blue assay	41/41	1/0	katG Ser315Thr
+ETH	ethA/etaA	Morlock GP AAC 2003	1238	GGT/GAT	413	Gly/Asp	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	50ug/ml	Microplate almar blue assay	41/41	1/0	None found in region analyzed.
+ETH	ethA/etaA	Morlock GP AAC 2003	1290	del C		Frameshift	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	50ug/ml	Microplate almar blue assay	41/41	1/0	katG Ser315Thr
+ETH	ethA/etaA	Morlock GP AAC 2003	1322-1323	del GC		Frameshift	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	>200ug/ml	Microplate almar blue assay	41/41	1/0	None found in region analyzed.
+ETH	ethA/etaA	Morlock GP AAC 2003	1387	CGT/AGT	463	Arg/Ser	Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole gene	HEth	50ug/ml	Microplate almar blue assay	41/41	1/0	katG Trp341Ser, mabA -15 C/T
+																	
+																	
+	mabA																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+ETH	mabA	Lee H IntJTuberLungDis 2000	-15	C/T 			Published 2000	"Clinical M.tb isolates; 12 INH-R only and 12 INH-R + ETH-R; none were involved in a single major outbreak of the disease (and so less likely to be related). N=24"	South Korea	Sequencing	Whole	HEth, HREth	40-80ug/ml	Proportion method.	12/24	12/2	No mutation in inhA94 found.
+ETH	mabA	Morlock P AAC 2003	-17	G/T			Published 2003	ETH-R clinical isolates. N=41	USA, Russia, Brazil	Sequencing	Whole	EthH	100ug/ml	Microplate almar blue assay	41/41	1/0	inhA Ile21Thr
+
+FLUOROQUINOLONES [FLQ]																	
+																	
+	gyrA																
+Drug	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC (ug/ml)	Susceptibility testing method	Resistant isolates/Total isolates tested for mutation	Resistant/Sensitive isolates with mutation	Additional mutations	
+FLQ	gyrA	Shi R JCM 2006	220	GCC/TCC	74	Ala/Ser	2002-2003		China	Sequencing 	227bp QRDR gyrA	OFX	OFL 2-32	Absolute concentration method 	87/109	10/0	gyrA: Asp94Gly
+FLQ	gyrA	Aubry A AAC 2006	238	ACC/GCC	80	Thr/Ala	Published 2006		France	Sequencing	QRDRs on gyrA and gyrB	The Thr80Ala mutants are resistant to all 5 drugs. The Thr80Ala + Ala90Gly double mutants are hypersusceptible to all 5 drugs, with MICs significantly lowered compared to H37Rv.		Proportion method 	14/15	Single mutants: 2/0. Double mutants: 0/4.	gyrA: Ala90Val
+FLQ	gyrA	Matrat S AAC 2006 Dec	263	GGC/GCC	88	Gly/Ala	Published 2006 		N.S.	Sequencing	nt 247-282 of gyrA 	"Resistant to: sparfloxacin, gemifloxacin, gatifloxacin, moxifloxacin, levofloxacin, ofloxacin, enoxacin, temafloxacin, flumequine, oxolinic acid, nalidixic acid, pipemidic acid; and to coumarin. "	2x to 16x higher than WT (H37Rv) MICs for the same drugs.	Proportion method 	39938	5/0	N.S.
+FLQ	gyrA	Von Groll A AAC 2009	265	GAC/AAC	89	Asp/Asn	Published 2006 		N.S.	Sequencing	nt 247-282 of gyrA 	"Resistant to: sparfloxacin, gemifloxacin, gatifloxacin, moxifloxacin, levofloxacin, ofloxacin, enoxacin, temafloxacin, flumequine, oxolinic acid, nalidixic acid, pipemidic acid; and to coumarin. "	2x to 16x higher than WT (H37Rv) MICs for the same drugs.	Proportion method 	39938	5/0	N.S.
+FLQ	gyrA	Takiff HE AAC 1994	269	GCG/GTG	90	Ala/Val	Published 1994		N.S.	PCR-SSCP, Sequencing	320-bp QRDR of gyrA	CIP	CIP: 4-8	BACTEC 460	3/54	3/0	gyrA: Ser95Thr
+FLQ	gyrA	Aubry A AAC 2006	269	GCG/GGG	90	Ala/Gly	Published 2006		France	Sequencing	QRDRs on gyrA and gyrB	Hypersusceptible to all 5 drugs, with MICs significantly lowered compared to H37Rv.	GAT 0.12-0.5, MOX 0.12-0.25, LVX 0.25-1, OFX 0.25-1, and ENX 2-8 ug/ml.	Proportion method	14/15	0/4	gyrA: Thr80Ala
+FLQ	gyrA	Takiff HE AAC 1994	271	TCG/CCG	91	Ser/Pro	Published 1994		N.S.	PCR-SSCP, Sequencing	320-bp QRDR of gyrA	CIP	CIP: 4	BACTEC 460	1/54	1/0	gyrA: Ser95Thr
+FLQ	gyrA	Takiff HE AAC 1994	280	GAC/AAC	94	Asp/Asn	Published 1994		N.S.	PCR-SSCP, Sequencing	320-bp QRDR of gyrA	CIP	CIP: 8	BACTEC 460	1/54	1/0	gyrA: Ser95Thr
+FLQ	gyrA	Takiff HE AAC 1994	280	GAC/CAC	94	Asp/His	Published 1994		N.S.	PCR-SSCP, Sequencing	320-bp QRDR of gyrA	CIP	CIP: 4	BACTEC 460	1/54	1/0	gyrA: Ser95Thr
+FLQ	gyrA	Bravao LTC JCM 2009	280-281	GAC/GTC	94	Asp/Phe	Published 2009		Phillipines	Sequencing	225-bp gyrA QRDR	HROfx	N.S.	Proportion method	9/102	1/0	gyrA: Ser95Thr
+FLQ	gyrA	Takiff HE AAC 1994	280	GAC/TAC	94	Asp/Tyr	Published 1994		N.S.	PCR-SSCP, Sequencing	320-bp QRDR of gyrA	CIP	CIP: 8	BACTEC 460	2/54	2/0	gyrA: Ser95Thr
+FLQ	gyrA	Takiff HE AAC 1994	281	GAC/GGC	94	Asp/Gly	Published 1994		N.S.	PCR-SSCP, Sequencing	320-bp QRDR of gyrA	CIP	CIP: 8	BACTEC 460	5/54	5/0	gyrA: Ser95Thr
+FLQ	gyrA	Takiff HE AAC 1994	281	GAC/GCC	94	Asp/Ala	Published 1994		N.S.	PCR-SSCP, Sequencing	320-bp QRDR of gyrA	CIP	CIP: 4	BACTEC 460	1/54	1/0	gyrA: Ser95Thr
+FLQ	gyrA	Sulochana S J Chemother 2007	281	GAC/GTC	94	Asp/Val	Published 2007		India	Sequencing	320-bp gyrA QRDR, 360-bp gyrB QRDR	Moderately resistant to OFX.	OFX: 16-64	Absolute concentration method 	71/118	7/0	gyrA: Ser95Thr
+FLQ	gyrA	Kapur V Arch PathLabMEd 1995	284	AGC/ACC	95	Ser/Thr											
+FLQ	gyrA	Kam KM Microb Drug Res 2006	305	CCC/CAC	102	Pro/His											
+FLQ	gyrA	Sulochana S J Chemother 2007	325	CTG/GTG	109	Leu/Val	Published 2007		India	Sequencing	320-bp gyrA QRDR, 360-bp gyrB QRDR	Moderately susceptible to OFX.	OFX: 2	Absolute concentration method 	71/118	0/1	
+																	
+																	
+	gyrB																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations	
+FLQ	gyrB	Feuerriegel S AAC 2009	1369	CGT/TGT	457	Arg/Cys	2003-2006	Isolates from a program for the treatment of MDR in Karakalpakstan	Uzbekistan	Sequencing	QRDRs on gyrA and gyrB	OFX	N.S.	BACTEC 460 and MGIT 960	26/49	1/0	
+FLQ	gyrB	Duong DA AAC 2009	1373	TCC/TTC	458	Ser/Phe	2005-2007		Vietnam	Sequencing	QRDRs on gyrA and gyrB			Proportion method	109/218	1/0	No other mutation in gyrA or gyrB
+FLQ	gyrB	Duong DA AAC 2009	1414	GAC/CAC	472	Asp/His	2005-2007		Vietnam	Sequencing	QRDRs on gyrA and gyrB			Proportion method	109/218	1/0	No other mutation in gyrA or gyrB
+FLQ	gyrB	Aubry A AAC 2006	1414	GAC/CAC	472	Asp/His	Published 2006		France	Sequencing	QRDRs on gyrA and gyrB	Strongly resistant to OFX	OFX: 60ug/ml	N.S.	14/15	1/0	"Ala90Val in gyrA; no other mutations in QRDR of gyrB."
+FLQ	gyrB	Pitaksajjakul P Southeast Asian J Trop Med Public Health 2005	1414	GAC/AAC	472	Asp/Asn	Published 2005		Thailand	PCR-SSCP, Sequencing	"320-bp QRDR of gyrA; 429-bp QRDR of gyrB."	INH+RIF+STR+EMB+OFX 	N.S.	Absolute concentration method	35/35	1/0	No further mutations in gyrA or gyrB QRDRs found.
+FLQ	gyrB	Duong DA AAC 2009	1414	GAC/AAC	472	Asp/Asn	2005-2007		Vietnam	Sequencing	QRDRs on gyrA and gyrB			Proportion method	109/218	1/0	gyrA D94A
+FLQ	gyrB	Duong DA AAC 2009	1415	GAC/GCC	472	Asp/Ala	2005-2007		Vietnam	Sequencing	QRDRs on gyrA and gyrB			Proportion method	109/218	1/0	gyrA A90V
+FLQ	gyrB	Duong DA AAC 2009	1442	GGT/GCT	481	Gly/Ala	2005-2007		Vietnam	Sequencing	QRDRs on gyrA and gyrB			Proportion method	109/218	1/0	No other mutation in gyrA or gyrB
+FLQ	gyrB	Lee AS Int J Infect Dis 2002	1514	GAC/GCC	505	Asp/Ala											
+FLQ	gyrB	Aubry A AAC 2006	1528	AAC/GAC	510	Asn/Asp	Published 2006		France	Sequencing	QRDRs on gyrA and gyrB	"GAT, MOX, LVX, and OFX; strongly resistant to ENX."	GAT: >1, MOX and LVX: 2, OFX: 4, and ENX: 64	Proportion method	14/15	1/0	No other mutations in QRDR of gyrA or gyrB.	
+FLQ	gyrB	Duong DA AAC 2009	1529	AAC/ACC	510	Asn/Thr	2005-2007		Vietnam	Sequencing	QRDRs on gyrA and gyrB			Proportion method	109/218	1/0	gyrA A90V	
+FLQ	gyrB	Mokrousov I AAC 2008	1530	AAC/AAA	510	Gln/Lys	2004 - 2005		Taiwan	Sequencing	QRDRs on gyrA and gyrB	OFX, CIP, LVX, and MOX. Out of the 14 FQ-R isolates, 6 (42.9%) were resistant to at least one 1st-line drug, while 4 (28.6%) were multidrug-resistant.	OFX: 8, CIP: 5, LVX: 1, and MOX: 1	Modified proportion method	14/420	1/0	No further mutations in gyrA or gyrB QRDRs found.	
+FLQ	gyrB	Duong DA AAC 2009	1531	ACC/CCC	511	Thr/Pro	2005-2007		Vietnam	Sequencing	QRDRs on gyrA and gyrB			Proportion method	109/218	1/0	gyrA A90V	
+FLQ	gyrB	Duong DA AAC 2009	1535	GAA/GTA	512	Glu/Val	2005-2007		Vietnam	Sequencing	QRDRs on gyrA and gyrB			Proportion method	109/218	1/0	No other mutation in gyrA or gyrB	
+FLQ	gyrB	Duong DA AAC 2009	1536	GAA/	512	Glu/Asp	2005-2007		Vietnam	Sequencing	QRDRs on gyrA and gyrB			Proportion method	109/218	1/0	No other mutation in gyrA or gyrB	
+FLQ	gyrB	Mokrousov I AAC 2008	1543	GCG/ACG	515	Ala/Thr	2004 - 2005		Taiwan	Sequencing	QRDRs on gyrA and gyrB	OFX, CIP, LVX, and MOX. Out of the 14 FQ-R isolates, 6 (42.9%) were resistant to at least one 1st-line drug, while 4 (28.6%) were multidrug-resistant.	OFX: 8, CIP: 5, LVX: 1, and MOX: 1	Modified proportion method	14/420	1/0	No further mutations in gyrA or gyrB QRDRs found.	
+FLQ	gyrB	Mokrousov I AAC 2008	1544	GCG/GTG	515	Ala/Val	2004 - 2005		Taiwan	Sequencing	QRDRs on gyrA and gyrB	OFX, CIP, LVX, and MOX. Out of the 14 FQ-R isolates, 6 (42.9%) were resistant to at least one 1st-line drug, while 4 (28.6%) were multidrug-resistant.	OFX: 8, CIP: 5, LVX: 1, and MOX: 1	Modified proportion method	14/420	1/0	No further mutations in gyrA or gyrB QRDRs found.	
+FLQ	gyrB	Mokrousov I AAC 2008	1647	CAA/CAT	549	Gln/His	2004 - 2005		Taiwan	Sequencing	QRDRs on gyrA and gyrB	OFX, CIP, LVX, and MOX. Out of the 14 FQ-R isolates, 6 (42.9%) were resistant to at least one 1st-line drug, while 4 (28.6%) were multidrug-resistant.	OFX: 8, CIP: 5, LVX: 1, and MOX: 1	Modified proportion method	14/420	1/0	No further mutations in gyrA or gyrB QRDRs found.	
+
+ISONIAZID [INH]													Whole gene screened	Resistanttotwodrugs				
+													Large proportion of gene screened	Monoresistant				
+													Small proportion of gene screened					
+		Cloned and sequenced by: Zhang Y Nature 1992 and Zhang Y JB 1993																
+	katG	Transformed and restored INH sensitivity by: Zhang Y Mol Micro 1993																
+Drug	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	Resistant isolates/Total isolates tested for mutation	Resistant/Sensitive isolates with mutation	Additional mutations	
+INH	katG	Baker LV AAC 2005	-1	ins C		Frameshift	1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array, Sequencing	Whole gene	H,HS,HE,HSE,MDR	ratio>=4	Resistance ratio method	202/378	1/0	CCC-CCG substitution at nt 723, Pro-Pro
+INH	katG	Gagneux S PLOS Path 2006	1	GTG/TTG or GTG/CTG	1	Val/Leu											
+INH	katG	Heym B MolMicro 1995	2	GTG/GCG	1	Val/Ala	1995	Isolates from patients of Pitie Salpietre hospital in France during 1991-92	Russia	PCR-SSCP, Sequencing	Whole gene	MDR	1	Proportion method	34/37	1/0	
+INH	katG	Cockerill FR JID 1995	4	CCC/TCC	2	Pro/Ser	1995	clinical strains of mtb	USA, Japan	Sequencing	Whole gene		0.12	Proportion method		1/0	Ala65Thr, Ala66Pro, Met126Ile, Ala243Ser, Asn258Ser, Ala264Thr, Tyr337Phe
+INH	katG	Siddiqi N AAC 2002	30	del C	10	TRUNC 26aa	1995-1998	North India hospitals National Mycobacterium Repository	India	Sequencing	nt 3-239 & 1187-1600	H,HRO,HR,HROS	10ug/ml R, 1ug/ml I, 2ug/ml O 2ug/ml S	Proportion method	74/126	6/0	R463L KatG, S95T gyrA, H526R rpo, H526Y rpo, D516V rpo, S531L rpo, D94A gyrA, K121K rpsL
+INH	katG	Cockerill FR JID 1995		del 8bp	10	Frameshift	1995	Isolates from the Mayo Clinic	USA	Sequencing	Whole gene	H	>32ug/ml	Proportion method		1/0	Ala424Val and Ala550Asp in katG.
+INH	katG	Siddiqi N AAC 2002	31	ACC/GCC	11	Thr/Ala	1995-1998	North India hospitals National Mycobacterium Repository	India	Sequencing	3-239,1187-1600	H,R	10ug/ml R, 1ug/ml I	Proportion method	74/126	1/0	R463L KatG, D516G rpo
+INH	katG	Siddiqi N AAC 2002	34	ACC/CCC	12	Thr/Pro	1995-1998	North India hospitals National Mycobacterium Repository	India	Sequencing	nt 3-239 1187-1600	H	1ug/ml I	Proportion method	74/126	1/0	R463L KatG
+INH	katG	Cockerill FR JID 1995	50	AGC/AAC	17	Ser/Asn	1995	Isolates from the Mayo Clinic	USA	Sequencing	Whole gene	H	0.12-1ug/ml	Proportion method			Gly19Asp, Gln224Glu, Ala243Ser, Ala550Asp
+INH	katG	Cockerill FR JID 1995	56	GGC/GAC	19	Gly/Asp	1995	Isolates from the Mayo Clinic	USA	Sequencing	Whole gene	H	0.12ug/ml	Proportion method		0/1	Pro2Ser, Ser17Asn, Gln224Glu, Ala243Ser, Ala550Asp
+INH	katG	Ramaswamy SV J Med Micro 2004	85-1059	del	29-353	Truncation	1996-1998	Jose Gonzalez hospital Mexico	Mexico	Directed Oligonucleotide array, Sequencing	codon 228-357	H,R,E	>=1% growth 0.2ug/ml I, 40ug/ml R, 4ug/ml S, 2ug/ml E	Proportion method	37/50	1/0	"nt 1238; T-C rrs "
+INH	katG	Siddiqi N AAC 2002	98	ins A	33	Truncation	1995-1998	North India hospitals National Mycobacterium Repository	India	Sequencing	nt 3-239 & 1187-1600	HR,HRS	10ug/ml R, 1ug/ml I	Proportion method	74/126	4/0	S531W rpo, H526L rpo, R463L KatG, D516G rpo, H526R rpo
+INH	katG	Siddiqi N AAC 2002	103	AAC/GAC	35	Asn/Asp	2002	Clinical isolates from patients referred to hospital.	India	Sequencing.	237bp + 414bp fragments	I,IRSO	>1ug/ml	Proportion method	74/126	2/0	"One mutant at katG Arg463Leu; both mutant at rpoB Asp516Val."
+INH	katG	Siddiqi N AAC 2002	109	del G	37	TRUNC 45aa	1995	North India hospitals National Mycobacterium Repository	India	Sequencing	nt 3-239 & 1187-1600	HRO,HR	10ug/ml R, 1ug/ml I 2ug/ml O	Proportion method	74/126	2/0	S531W rpo, S95T gyrA, L511L H526R rpo
+INH	katG	Secondary Publication: Hazbon MH AAC 2006	114	TGG/TGA	38	Trp/STOP											
+INH	katG	Sekigushi J JCM 2007	143	CTG/CAG	48	Leu/Gln	2007	Japan & Poland	Japan	Sequencing	Whole gene			Proportion method, BACTEC	38/138	1/0	 -15C/T upstream of mabA
+INH	katG	Baker LV AAC 2005	149	del A	50	Frameshift	1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array, Sequencing	Whole gene	H,HS,HE,HSE,MDR	ratio>=4	Resistance ratio method	202/378	1/0	ahpC-34A
+INH	katG	Pretorius GS AAC 1995	157-168	del CCGTCGCTGACC	52-57	del Ala Val Ala Asp Pro	1995	South Africa Switzerland, USA	USA	PCR-SSCP, Sequencing	1-221, 202-338, 319-558, 541-741, 722-942, 923-1140, 1120-1342, 1323-1526, 1507-1718, 1699-1915, 1896-2115, 2096-2310	HR	1.0 ug/ml	Proportion method	39/69	1/0	
+INH	katG	Siddiqi N AAC 2002	181	GCG/ACG	61	Ala/Thr	1995-1998	North India hospitals National Mycobacterium Repository	India	Sequencing	nt 3-239 & 1187-1600	HRO	10ug/ml R, 1ug/ml I, 2ug/ml O 	Proportion method	74/126	1/0	R463L KatG, S95T gyrA, S531L rpo
+INH	katG	Siddiqi N AAC 2002	185	ins C	62	Truncation	1995-1998	North India hospitals National Mycobacterium Repository	India	Sequencing	nt 3-239 & 1187-1600	HRS,HO,HR	10ug/ml R, 1ug/ml I 2ug/ml O	Proportion method	74/126	3/0	S531W rpo, K121K rpsL, S95T gyrA,H526R rpo
+INH	katG	Rouse DA AAC 1995	189	GAC/GAA	63	Asp/Glu	1995	Clinical isolates.	USA, South Korea	PCR-SSCP, Sequencing	Whole gene	H	50ug/ml	Absolute concentration method.	26/26	1/0	
+INH	katG	Marttila HJ AAC 1996	195	ins CCCC	65	Frameshift	1989-1995	Finland	Finland	Sequencing	Whole gene	H	1ug/ml	Disk elution method	54/56	1/0	
+INH	katG	Cockerill FR JID 1995	193	GCC/ACC	65	Ala/Thr	1995	Isolates from the Mayo Clinic	USA	PCR, RFLP,  Sequencing.	Whole gene	H	0.25ug/ml	Proportion method		0/1	Ala66Pro and others in katG.
+INH	katG	Cockerill FR JID 1995	196	GCG/CCG	66	Ala/Pro	1995	Isolates from the Mayo Clinic	USA	Sequencing	Whole gene	H	0.25ug/ml	Proportion method		0/1	Ala65Thr, Met126Ile, Ala243Ser, Asn258Ser, Ala264Thr, Tyr337Phe
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	212	ATC/AAC	71	Ile/Asn											
+INH	katG	Chan RCY JAC 2007		GAC/GGC	72	Asp/Gly	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Secondary Publication: Hazbon MH AAC 2006	214	GAC/AAC	72	Asp/Lys											
+INH	katG	Siddiqi N AAC 2002	?	GAC/AAC	73	Asp/Asn	1995	North India hospitals National Mycobacterium Repository	India	Sequencing	nt 3-239 & 1187-1600	H	1ug/ml I	Proportion method	74/126	1/0	R463L KatG
+INH	katG	Chan RCY JAC 2007	220	GAC/TAC	74	Asp/Tyr	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Chan RCY JAC 2007	221	GAC/GGC	74	Asp/Gly	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Chan RCY JAC 2007	252	ATG/ATA	84	Met/Ile	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Gagneux S PLOS Path 2006	253	ACC/CCC	85	Thr/Pro											
+INH	katG	Marttila HJ AAC 1998	263	CAG/CGG	88	Gln/Arg											
+INH	katG	Cockerill FR JID 1995	270	TGG/TGA	90	Trp/STOP	1995	clinical strains of mtb	USA, Japan	Sequencing	Whole gene		">32; catalase 5 mm"	Proportion method		1/0	none
+INH	katG	Ramaswamy SV AAC 2003	271	TGG/CGG	91	Trp/Arg		38 epidemiologically unrelated INH-monoresistant and 86 INH-susceptible isolates	USA, Mexico	Sequencing			2	"BACTEC radiometric method; E-test"	38/121	1/0	D3G (srmR homolog)
+INH	katG	Gagneux S PLOS Path 2006	281	GAC/GGC	94	Asp/Gly											
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	281	GAC/GCC	94	Asp/Ala											
+INH	katG	Chan RCY JAC 2007	?	GGC/TGC	96	Gly/Cys	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	296	GGG/GAG	99	Gly/Glu											
+INH	katG	Rouse et al MM 1996	311	CGG/CTG	104	Arg/Leu	1996	INH-resistant clinical isolates and in vitro mutants of katG in mtb					>500	N.S.	n/a	100 fold reduction in peroxidase activity	
+INH	katG	Gagneux S PLOS Path 2006	311	CGG/CAG	104	Arg/Gln											
+INH	katG	Gagneux S PLOS Path 2006	317	GCG/GTG	106	Ala/Val											
+INH	katG	Gagneux S PLOS Path 2006	319	TGG/CGG or TGG/AGG	107	Trp/Arg											
+INH	katG	Baker LV AAC 2005	321	TGG/TGA	107	Trp/STOP	1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array,  Sequencing	Whole gene	H,HS,HE,HSE,MDR	ratio>=4	Resistance ratio method	202/378	1/0	ahpC-30T
+INH	katG	Rouse et al MM 1996	322	CAC/GAC	108	His/Asp	1996	INH-resistant clinical isolates and in vitro mutants of katG in mtb						N.S	n/a		
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	322,324	CAC/GAA or CAC/GAG	108	His/Glu											
+INH	katG	Rouse DA AAC 1995	324	CAC/CAG	108	His/Gln	1995	Washington D.C, Bethesda, South Korea	USA, South Korea	PCR-SSCP, Sequencing	Whole gene	H	50	Absolute concentration method	26/26	1/0	
+INH	katG	Gagneux S PLOS Path 2006	326	GCT/GTT	109	Ala/Val											
+INH	katG	Wei CJ AAC 2003	329	GCC/GTC	110	Ala/Val	2003					H					
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	?	del	113	Frameshift?											
+INH	katG	Lavender C AAC 2005	350	GAC/GCC	117	Asp/Ala	2001-2003	Victorian Infectious Diseases Reference Laboratory	Australia	Sequencing	Whole gene	HR	0.4 ug/ml I	BACTEC 	52/104	1/0	
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	?	del	120	Frameshift?											
+INH	katG	Heym B MolMicro 1995	358-369	del	120-123	del	1995	Isolates from Pitries hospital in France 1991-92	Yugoslavia	PCR-SSCP, Sequencing	Whole gene	H		Proportion method	34/37	2/0	
+INH	katG	Gagneux S PLOS Path 2006	361	GGC/TGC	121	Gly/Cys											
+INH	katG	Marttila HJ AAC 1998	362	GGC/GTC	121	Gly/Val	1993-1995	Clinical isolates	Russia	Sequencing.	Whole gene	HR	N/A	Proportion method	24/27	1/0	Asp516Val in rpoB
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	?	del	122	Frameshift?											
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	?	del	123	Frameshift?											
+INH	katG	Ramaswamy SV AAC 2003	372	ins G	124	Frameshift		38 epidemiologically unrelated INH-monoresistant and 86 INH-susceptible isolates	USA, Mexico	Sequencing			>256	BACTEC 460, E-test	38/121	1/0	G-9A (oxyR-ahpC)
+INH	katG	Chan RCY JAC 2007	373	GGC/TGC	125	Gly/Cys	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Heym B MolMicro 1995	373-375	ins CAT	125	ins His	1995	Isolates from Pitries hospital in France 1991-92	Yugoslavia	PCR-SSCP, Sequencing	Whole gene	H		Proportion method	34/37	1/0	
+INH	katG	Cockerill FR JID 1995	378	ATG/ATT, ATG/ATC or ATG/ATA	126	Met/Ile	1995	clinical strains of mtb	USA, Japan	Sequencing	Whole gene		".025; catalase 14 mm"	Proportion method		1/0	"A65T; A66P; A243S; N258S; A264T; Y337F"
+INH	katG	Chan RCY JAC 2007	380	CAG/CCG	127	Gln/Pro	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Fang Z JCM 1999	384	CGG/CCG	128	Arg/Pro	1990-1997	Scottish Mycobacterial refererence lab	United Kingdom	PCR-SSCP, Sequencing	2268-2288&2595-2615,  2781-2801&3115-3135, 3366-3386& 3633-3653, 3661-3681& 3973-3993	H,E,R,P,Rifa,Cip,Ami,S,Proth		BACTEC 460	10/715	1/0	Leu511Pro rpoB
+INH	katG	Hazbon MH AAC 2006	412	AAC/CAC	138	Asn/His	2006	Australia, Colombia India, Mexica, New York city, Spain & Texas	USA, Spain	HP asay, molecular beacon assay,  Sequencing		H	0.2ug/ml proportion method, 0.1 for BACTEC methods	Proportion method, BACTEC MGIT 960, BACTEC 460	403/1111	1/0	
+INH	katG	Hazbon MH AAC 2006	412	AAC/GAC	138	Asn/Asp	2006	Australia, Colombia India, Mexica, New York city, Spain & Texas	USA, Spain	HP asay, molecular beacon assay,  Sequencing		H	0.2ug/ml proportion method, 0.1 for BACTEC methods	Proportion method, BACTEC MGIT 960, BACTEC 460	403/1111	2/0	
+INH	katG	Hazbon MH AAC 2006	413	AAC/AGC	138	Asn/Ser	2006	Australia, Colombia India, Mexica, New York city, Spain & Texas	USA, Spain	HP asay, molecular beacon assay,  Sequencing		H	0.2ug/ml proportion method, 0.1 for BACTEC methods	Proportion method, BACTEC MGIT 960, BACTEC 460	403/1111	1/0	
+INH	katG	Morlock GP AAC 2003	413	AAC/ACC	138	Asn/Thr	2003	USA,Russia, Brazil	USA, Russia, Brazil	Sequencing	Whole gene	H	>32ug/ml	Microplate alamar blue assay method	17/41	1/0	
+INH	katG	Wei CJ AAC 2003	415	GCC/CCC	139	Ala/Pro	2003										
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	418-419?	AGC/GCC?	140	Ser/Ala											
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	419	AGC/AAC	140	Ser/Asn	2006	Australia, Colombia India, Mexica, New York city, Spain & Texas	USA, Spain	HP asay, molecular beacon assay,  Sequencing			0.2ug/ml proportion method, 0.1 for BACTEC methods	Proportion method, BACTEC MGIT 960, BACTEC 460	403/1111	9/0	
+INH	katG	Secondary Publication: Hazbon MH AAC 2006	418	AGC/GGC	140	Ser/Gly											
+INH	katG	Hai Hua Lin TubercRespirDis 2007	420	AGC/AGA	140	Ser/Arg	2004		South Korea	Sequencing	Whole gene	MDR	N.S.	N.S	29/29	1/0	katG N238K
+INH	katG	Sekigushi J JCM 2007	423	TTG/TTC	141	Leu/Phe	2007	Japan & Poland	Japan, Poland	Sequencing	Whole gene			Proportionmethod, BACTEC MGIT 960	38/138	2/0	
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	425	GAC/GCC	142	Asp/Ala											
+INH	katG	Gagneux S PLOS Path 2006	428	AAG/ACG	143	Lys/Thr											
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	443	CTG/GCG	148	Leu/Ala											
+INH	katG	Rouse et al MM 1996	443	CTG/CGG	148	Leu/Arg	1996	INH-resistant clinical isolates and in vitro mutants of katG in mtb						N.S.	n/a		
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	See Note	CCG/GCG?? See Note	150	Leu/Ala Error? See Note											
+INH	katG	Marttila HJ AAC 1998	464	TAC/TCC	155	Tyr/Ser	1993-1995	Russia	Russia	Sequencing.	Whole gene	HRSK	1 ug/ml I, 5 ug/ml R 	Proportionmethod	24/27	1/0	Arg463Leu katG,     Ser 531Leu rpoB
+INH	katG	Gagneux S PLOS Path 2006	464	TAC/TGC	155	Tyr/Cys	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	3
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	479	TCA/TTA	160	Ser/Leu											
+INH	katG	Gagneux S PLOS Path 2006	484	GCG/ACG	162	Ala/Thr											
+INH	katG	Cockerill FR JID 1995	506	GGC/GCC	169	Gly/Ala	1995	Isolates from the Mayo Clinic	USA	Sequencing.	Whole gene	H	1ug/ml	Proportion method		1/0	Pro2Ser, Ser17Asn, Met126Ile,  Gln224Glu, Ala264Val, Ala281Val, Try337Cys, Arg463Leu
+INH	katG	Secondary Publication: Hazbon MH AAC 2006	514	GCG/ACG	172	Ala/Thr	2006	Australia, Colombia India, Mexica, New York city, Spain & Texas	USA, Spain	HP asay, molecular beacon assay,  Sequencing		H	0.2ug/ml proportion method, 0.1 for BACTEC methods	Agar Proportion method, BACTEC MGIT 960, BACTEC 460	403/1111	2/0	
+INH	katG	Chan RCY JAC 2007	515	GCG/GTG	172	Ala/Val	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Chan RCY JAC 2007	528	ATG/ATA	176	Met/Ile	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	3
+INH	katG	Secondary Publication: Hazbon MH AAC 2006	539	ACG/AAG	180	Thr/Lys											
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	See Note	ACG/???	180	Thr/Cys											
+INH	katG	Chan RCY JAC 2007	557	GGC/GTC	186	Gly/Val	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Chan RCY JAC 2007	556-557	GGC/CAC	186	Gly/His	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Baker LV AAC 2005	571	TGG/CGG	191	Trp/Arg	1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array,  Sequencing	Whole gene	H,HS,HE,HSE,MDR	ratio>=4	Resistance ratio method	202/378	1/0	
+INH	katG	Chan RCY JAC 2007	572	del G	191	Frameshift	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Morlock GP AAC 2003	583	G/A	195	Glu/Lys	2003	USA,Russia, Brazil	USA	Sequencing	Whole gene	Eth	1	Microplate alamar blue assay	17/41	0/1	nt 280 T/G inh ORF
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	594	TGG/TGA	198	Trp/STOP											
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	598	AAG/TAG	200	Lys/STOP											
+INH	katG	Abe C JCM 2008			204	Trp/Arg	Published in 2008		Japan	Sequencing	Whole gene	H		MGIT 960	96/96	1/0	
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	?	ins	217	Frameshift?											
+INH	katG	Chan RCY JAC 2007	654	AAC/AAA	218	Asn/Lys	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Cockerill FR JID 1995	670	CAG/GAG	224	Gln/Glu	1995	clinical strains of mtb	USA, Japan	Sequencing	Whole gene		"1; catalase 8 mm"	Proportionmethod		1/0	Pro2Ser, Ser17Asn, Met126Ile, Gly169Ala, Ala264Val, Ala281Val, Try337Cys, Arg463Leu
+INH	katG	Cockerill FR JID 1995	670	CAG/GAG	224	Gln/Glu	1995	Isolates from the Mayo Clinic	USA	Sequencing	Whole gene	H	<0.12-1ug/ml	Proportion method		39815	Ala424Glu, Pro429Ser
+INH	katG	Ghiladi RA J Am Chem Soc 2005 	686	TAC/TTC	229	Tyr/Phe											
+INH	katG	Chan RCY JAC 2007	689	GTG/GCG	230	Val/Ala	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Baker LV AAC 2005	701	GGG/GAG	234	Gly/Glu	1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array,  Sequencing	Whole gene	H,HS,HE,HSE,MDR	ratio>=4	Resistance ratio method	202/378	1/0	
+INH	katG	Chan RCY JAC 2007	700	GGG/AGG	234	Gly/Arg	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Chan RCY JAC 2007	707	AAC/ACC	236	Asn/Thr	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Hai Hua Lin TubercRespirDis 2007	714	AAC/AAG	238	Asn/Lys	2004		South Korea	Sequencing	Whole gene	MDR	N.S.	N.S	29/29	1/0	katG S140R
+INH	katG	Baker LV AAC 2005	723	CCC/CCG	241	Pro/Pro	1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array,  Sequencing	Whole gene	H,HS,HE,HSE,MDR	ratio>=4	Resistance ratio method	202/378	2/0	
+INH	katG	Cockerill FR JID 1995	727	GCC/TCC	243	Ala/Ser	1995	clinical strains of mtb	USA, Japan	Sequencing	Whole gene		"0.12; catalase 28mm"	"Middlebrook 7H11 agar; 1% Proportion method"		1/0	Pro2Ser, Ser17Asn, Gly19Asp, Gln224Glu, Ala550Asp
+INH	katG	Ramaswamy SV J Med Micro 2004	745	CGC/TGC	249	Arg/Cys	1996-1998	Jose Gonzalez hospital Mexico	Mexico	Directed Oligonucleotide array,  Sequencing	codon 228-357	HRSE	>=1% growth 0.2ug/ml I, 40ug/ml R, 4ug/ml S, 2ug/ml E	Proportion method	37/50	2/0	His445Tyr rpoB, Lys43Arg rpsL, Met306Ile embB 
+INH	katG	Gagneux S PLOS Path 2006	752	ACG/ATG	251	Thr/Met											
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	754	TTT/CTT	252	Phe/Leu											
+INH	katG	Sekigushi J JCM 2007	770	ATG/ACG	257	Met/Thr	2007	Japan & Polan	Japan, Poland	Multiplex  Sequencing	Whole gene			Middlebrook 7H10 agar medium method Ogawa egg based medium method, Rapid broth method(BACTEC)	38/138	1/0	R463L V780P katG, -15C/T upstream of mabA
+INH	katG	Lavender C AAC 2005	771	ATG/ATT	257	Met/Ile	2001-2003	Victorian Inf DiseaseReference Lab	Australia	Multiplex allele specific PCR Assay	Whole gene	HR	0.1ug/ml I, 1ug/ml R	BACTEC MGIT960	52/104	1/0	
+INH	katG	Cockerill FR JID 1995	773	AAC/AGC	258	Asn/Ser	1995	Isolates from the Mayo Clinic	USA	Sequencing.	Whole gene	H	0.25ug/ml	Proportion method		0/1	Pro2Ser, Ala65Thr, Ala66Pro, Met126Ile, Ala243Ser, Ala264Thr, Tyr337Phe
+INH	katG	Rouse DA AAC 1995	785	ACA/AGA	262	Thr/Arg	1995	washington DC, Bethesda, South Korea, 	USA, South Korea	PCR-SSCP, Sequencing	Whole gene	H	1 ug/ml	Absolute concentration method	26/26	1/0	
+INH	katG	Cockerill FR JID 1995	790	GCG/ACG	264	Ala/Thr	1995	clinical strains of mtb	USA, Japan	Sequencing	Whole gene		"0.25; catalase 14mm"	"Middlebrook 7H11 agar; 1% Proportion method"		1/0	Pro2Ser, Ala65Thr, Ala66Pro, Met126Ile, Ala243Ser, Asn258Ser, Tyr337Phe
+INH	katG	Chan RCY JAC 2007		del G	268	Frameshift	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Pretorius GS AAC 1995	820	ACC/GCC	275	Thr/Ala	1995	South Africa Switzerland, USA	South Africa, Switzerland	PCR-SSCP, Sequencing	Whole gene?	HR,HRSEEryB	10 & >2.5 ug/ml	Agar dilution method	39/69	2/0	
+INH	katG	Heym B MolMicro 1995	823	ACC/CCC	275	Thr/Pro	1995	Isolates from patients of Pitie Salpietre hospital in France during 1991-92	France	PCR-SSCP, Sequencing	Whole gene	HMDR	> 10 ug/ml	Proportion method	34/37	1/0	
+INH	katG	Ramaswamy SV J Med Micro 2004	823	ACC/TCC	275	Thr/Ser	1996-1998	Jose Gonzalez hospital Mexico	Mexico	Directed Oligonucleotide array, Sequencing	codon 228-357	HR	>=1% growth 0.2ug/ml I, 40ug/ml R, 4ug/ml S, 2ug/ml E	Proportion method	37/50	1/0	His445Asp rpoB, 
+INH	katG	Morlock GP AAC 2003	836	GGC/GAC	279	Gly/Asp	2003	United States, Russia, Brazil	Brazil	Sequencing	fragment encompassing codons 249 to 342	HEth	>32 I, >200 Eth	Microplate alamar blue assay	17/41	1/0	D55/A ethA,L44L inhA ORF, C(-15)T inhA regulator
+INH	katG	Gagneux S PLOS Path 2006	839-840	CCG/CAT or CCG/CAC	280	Pro/His											
+INH	katG	Cockerill FR JID 1995	842	GCC/GTC	281	Ala/Val	1995	Isolates from the Mayo Clinic	USA	Sequencing	Whole gene	H	1ug/ml	Proportion method		1/0	Pro2Ser, Ser17Asn, Met126Ile, Gly169Ala, Gln224Glu, Ala264Val, Try337Cys, Arg463Leu
+INH	katG	Abe C JCM 2008	854	GGC/GAC	285	Gly/Asp	Published in 2008		Japan	Sequencing	Whole gene	H		MGIT 960	96/96	1/0	
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	?	ins	289	Frameshift?											
+INH	katG	Chan RCY JAC 2007	867	GAG/GAC	289	Glu/Asp	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Fang Z JCM 1999	871	GCT/CCT	291	Ala/Pro	1990-1997	Scottish Mycobacterial refererence lab	United Kingdom	PCR-SSCP, Sequencing		HR		BACTEC 	10/715	1/0	His 526Tyr rpoB
+INH	katG	Sekigushi J JCM 2007	884	CAG/CCG	295	Gln/Pro	2007	Japan & Poland	Poland	Sequencing	Whole gene			Proportion method, BACTEC	38/138	1/0	
+INH	katG	Sekigushi J JCM 2007	890	GGC/GTC	297	Gly/Val	2007	Japan & Poland	Poland	Sequencing	Whole gene			Proportion method, BACTEC	38/138	1/0	
+INH	katG	Chan RCY JAC 2007	895	GGC/TGC	299	Gly/Cys	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	1
+INH	katG	Huang WL JCM 2009	896	GGC/GCC	299	Gly/Ala	2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+INH	katG	Lee ASG AAC 1999		TGG/TAA or TGG/TAG or TGG/TGA	300	Trp/STOP	1994-1996	Central Tuberculosis Lab, Singapore	Singapore	Sequencing	Whole gene	H	0.1 ug/ml	BACTEC 460	160/192		
+INH	katG	Marttila HJ AAC 1996	898	TGG/GGG	300	Trp/Gly	1989-1995	Finland	Finland	Sequencing	Whole gene	H	1 ug/ml	Disk elution method	54/56	1/0	
+INH	katG	Gagneux S PLOS Path 2006	901-902	ins T	301	Frameshift											
+INH	katG	Cockerill FR JID 1995	906	AGC/AGG	302	Ser/Arg	1995	Isolates from the Mayo Clinic	USA	Sequencing	Whole gene	H	8ug/ml	Proportion method		1/0	Ser315Thr and Arg463Leu in katG.
+INH	katG	Bolotin S JAC 2009	911	TAT/TCT	304	Tyr/Ser	1999-2001	Ontario Agency for Health Protection and Promotion	Canada	Sequencing	codon 250-500	H, HR		MGIT 960	154/504	1/0	
+INH	katG	Bostanabad SZ Tuberk Torak 2007	913	GGC/GCC	305	Gly/Ala	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	3/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Bostanabad SZ Tuberk Torak 2007	919	GGA/CGA	307	Gly/Arg	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	1/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Bostanabad SZ Tuberk Torak 2007	920	GGA/GCA	307	Gly/Ala	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	2/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Ramaswamy SV J Med Micro 2004	920	GGA/GAA	307	Gly/Glu	1996-1998	Jose Gonzalez hospital Mexico	Mexico	Directed Oligonucleotide array, Sequencing	codon 228-357	HRSE	>=1% growth 0.2ug/ml I, 40ug/ml R, 4ug/ml S, 2ug/ml E	Proportion method	37/50	1/0	Ser450Leu rpoB, 
+INH	katG	Khadka DK Southest Asian J Trop Med Public Health 2007	922	ACC/CCC	308	Thr/Pro	2007	Sirirraj hospital Bangkok, Chest Disease Institute, Nonthaburi	Bangkok	PCR-SSCP, Sequencing	894 bp fragment encompassing codons 254 to 549	HRSEO			29/30	1/0	Arg463Leu katG, C(-15)T inhA
+INH	katG	Bostanabad SZ Tuberk Torak 2007	926	GGT/GTT	309	Gly/Cys	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	2/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Bostanabad SZ Tuberk Torak 2007	926	GGT/GCT	309	Gly/Ser	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	2/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Kim SY Diagn Micro Inf Dis 2003	926	GGT/GAT	309	Gly/Asp	200-2002	Korean Institute of TB, Neodin Medical instittue, Kangman st Mary hosptial in South Korea	South Korea	PCR-SSCP, Sequencing	210 bp fragment spanning codon 315	HR	0.2 ug/ml I 40 ug/ml R	Proportion method	71/97	2/0	inhA Ribosomal binding site C/T
+INH	katG	Bostanabad SZ Tuberk Torak 2007	926-927	GGT/GTC	309	Gly/Phe	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	2/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Huang WL JCM 2009	928-929	del A	310	Frameshift	2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+INH	katG	Bostanabad SZ Tuberk Torak 2007	931	GAC/TAC	311	Asp/Tyr	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	2/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Bostanabad SZ Tuberk Torak 2007	931-932	GAC/TTC	311	Asp/Phe	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	2/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Chan RCY JAC 2007	932	GAC/GGC	311	Asp/Gly	2007	Grantham Hosptial and Public Health Lab, Hongkong	Hong Kong	PCR-SSCP, Sequencing	703 bp fragment	HEP	1ug/ml I, 4ug/ml E, 100ug/ml P	Absolute concentration method, BACTEC MGIT 960	241/302	1/0	574Ser/Leu rpoB
+INH	katG	Zenteno-Cuevas R MemInstOswaldCruz 2009	933	GAC/GAG	311	Asp/Glu	2007		Mexico	Sequencing	codon 240-390 of katG	HREZ	N.S.	BACTEC 460	17/25	1/0	katG S315T
+INH	katG	Bostanabad SZ Tuberk Torak 2007	941	ACC/AAC	314	Ser/Asn	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	2/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Bostanabad SZ Tuberk Torak 2007	941-942	ACC/ACG	314	Ser/Thr	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	2/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Haas WA AAC 1997	943	AGC/CGC	315	Ser/Arg	1997	NationalTuberculosis Research program South Africa, Sierra Leone, Uganda	South Africa	PCR-RFLP	894 bp central fragment of katG?	H			124/212	1/0	
+INH	katG	Marttila HJ AAC 1996	943	AGC/CTA	315	Ser/Leu	1989-1995	Clinical isolates.	Finland	Sequencing	Whole gene	HS	>1ug/ml	Disk elution method.	17/19	1/0	katG Pro501Ala.
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	943	AGC/GGC	315	Ser/Gly											
+INH	katG	Musser JM JID 1996	944	AGC/ACC	315	Ser/Thr											
+INH	katG	Haas WA AAC 1997	944	AGC/ATC	315	Ser/Ile	1997	NationalTuberculosis Research program South Africa, Sierra Leone, Uganda	Sierra Leone, Lesotho	PCR-RFLP	892 bp central fragment	HRSEth,H			124/212	4/0	
+INH	katG	Haas WA AAC 1997	944	AGC/AAC	315	Ser/Asn	1997	NationalTuberculosis Research program South Africa, Sierra Leone, Uganda	Free state, Gauteng, Sierra leone	PCR-RFLP	890 bp fragment	H,HRE,HR			124/212	9/0	
+INH	katG	Heym B MolMicro 1995	944	AGC/ACC	315	Ser/Thr	1995	Isolates from patients of Pitie Salpietre hospital in France during 1991-92	Mali Ivory coast, France	PCR-SSCP, Sequencing	Whole gene	H	1 in 4 and >5 in 1	Proportional method	34/37	5/0	
+INH	katG	Marttila HJ AAC 1996	944-945	AGC/ACA	315	Ser/Thr	1989-1995	Finland	Finland	Sequencing	Whole gene	HS,HRS	1 ug/ml for I 	Disk elution method.	54/56	2/0	 nt1501G/C katG in one
+INH	katG	Gagneux S PLOS Path 2006	944-945	AGC/ACG	315	Ser/Thr											
+INH	katG	Lipin MY CMI 2007	945	AGC/AGA	315	Ser/Arg	1998-2001	Tula & Serpokov district, Moscow	Russia	Sequencing	nt 872-1568	HRS	1 ug/ml I, 5 ug/ml S, 20ug/ml R	Absolute concentration method	217/217	2/0	335 /GTC katG in one
+INH	katG	Secondary Publication: Hazbon MH AAC 2006	945	AGC/AGG	315	Ser/Arg											
+INH	katG	Bostanabad SZ Tuberk Torak 2007	946	GGC/AGC	316	Gly/Ser	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	18/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Secondary Publication: Hazbon MH AAC 2006	947	GGC/GAC	316	Gly/Asp											
+INH	katG	Chan RCY JAC 2007	949	ATC/CTC	317	Ile/Leu	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	2
+INH	katG	Zenteno-Cuevas R MemInstOswaldCruz 2009	953-954	GAG/GTA	318	Gly/Val	2007		Mexico	Sequencing	codon 240-390 of katG	HRSEZ	N.S.	BACTEC 460	17/25	1/0	katG S315T
+INH	katG	Chan RCY JAC 2007	961	TGG/CGG	321	Trp/Arg	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	3
+INH	katG	Bostanabad SZ Tuberk Torak 2007	961	TGG/TAG	321	Trp/STOP	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	2/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Bostanabad SZ Tuberk Torak 2007	962	TGG/TTG	321	Trp/Leu	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	2/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Bostanabad SZ Tuberk Torak 2007	962-963	TGG/TCC	321	Trp/Ser	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	1/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Bostanabad SZ Tuberk Torak 2007	963	TGG/TGT	321	Trp/Cys	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	1/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	No publication listed	970	ACC/CCC	324	Thr/Pro											
+INH	katG	Musser JM JID 1996	982	TGG/GGG	328	Trp/Gly	1996	USA,Brazil, Rwanda, Belgium, Yemen, Japan, Philippines, Netherlands, Hongkong, Mexico		Sequencing	Whole gene	HR	>=1ug/ml for I	Proportion method 	34/46	1/0	
+INH	katG	Haas WA AAC 1997	983	TGG/TTG	328	Trp/Leu	1997	NationalTuberculosis Research program South Africa, Sierra Leone, Uganda	Free state, Lesotho, Eastern Cape, Natal, Swaziland, Gauteng	PCR-RFLP	894 bp central fragment of katG	H			124/212	1/0	
+INH	katG	Boonaiam S CMI 2009	984	TGG/TCG	328	Trp/Ser	2005-2006	Molecular Mycology and Mycobacteriology Laboratory	Thailand	Sequencing	Whole gene	MDR	>=1ug/ml for I	Disk elution method	160/170	1/0	
+INH	katG	Haas WA AAC 1997	984	TGG/TGC	328	Trp/Cys	1997	NationalTuberculosis Research program South Africa, Sierra Leone, Uganda	Free state, Lesotho, Eastern Cape, Natal, Swaziland, Gauteng	PCR-RFLP	894 bp central fragment of katG	H			124/212	1/0	
+INH	katG	Bostanabad SZ Tuberk Torak 2007	984	TGG/TGT	328	Trp/Cys	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	4/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Zenteno-Cuevas R MemInstOswaldCruz 2009	991	AGT/TGT	331	Ser/Cys	2007		Mexico	Sequencing	codon 240-390 of katG	HRS	N.S.	BACTEC 460	17/25	1/0	katG S315T
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	See Note		334	Ile/Thr Error											
+INH	katG	Rouse DA AAC 1995	1004	ATC/ACC	335	Ile/Thr											
+INH	katG	Lipin MY CMI 2007	1003	ATC/GTC	335	Ile/Val	1998-2001	Tula & Serpokov district, Moscow	Russia	Sequencing	nt 872-1568	HRS	1 ug/ml I, 5 ug/ml S, 20ug/ml R	Absolute concentration method	217/217	1/0	315 AGC/AGA katG
+INH	katG	Lee ASG AAC 1999	1007	CTG/CGG	336	Leu/Arg											
+INH	katG	Cockerill FR JID 1995	1010	TAC/TTC	337	Tyr/Phe	1995	Isolates from the Mayo Clinic	USA	PCR, RFLP,  Sequencing.	Whole gene	H	0.25ug/ml	Proportion method			Pro2Ser, Ala65Thr, Ala66Pro, Met126Ile, Ala243Ser, Asn258Ser, Ala264Thr
+INH	katG	Cockerill FR JID 1995	1010	TAC/TGC	337	Tyr/Cys	1995	Isolates from the Mayo Clinic	USA	PCR, RFLP,  Sequencing.	Whole gene	H	1ug/ml	Proportion method		1/0	Arg429Leu, Trp505Arg, Met609Ile
+INH	katG	Morlock GP AAC 2003	1022	TGG/TCG	341	Trp/Ser	2003	USA, Brazil, Russia	Brazil	Sequencing	fragment encompassing codons 249 to 342	HEth	5o Eth, >32 I	Microplate alamar blue assay	17/41	1/0	4463S ethA, C(-15)T inhA regulator
+INH	katG	Gagneux S PLOS Path 2006	1034	AAG/ACG	345	Lys/Thr											
+INH	katG	Chan RCY JAC 2007		del G	346	Frameshift	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	2
+INH	katG	Rouse et al MM 1996	1048	GCT/ACT	350	Ala/Thr	1996	INH-resistant clinical isolates and in vitro mutants of katG in mtb						N.S.	n/a		
+INH	katG	Rouse DA AAC 1995	1048	GCT/TCT	350	Ala/Ser	1995	Washington D.C Bethesda South Korea		PCR SSCP  	Whole gene	H	1 ug/ml	Absolute concentration method	26/26	1/0	
+INH	katG	Boonaiam S CMI 2009	1054	CAA/TAA	352	Gln/STOP	2005-2006	Molecular Mycology and Mycobacteriology Laboratory	Thailand	Sequencing	Whole gene	MDR	>=1ug/ml for I	Disk elution method	160/170	1/0	
+INH	katG	Bostanabad SZ Tuberk Torak 2007	1069	GAC/CAC	357	Asp/His	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	1/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Bostanabad SZ Tuberk Torak 2007	1069	GAC/AAC	357	Asp/Asn	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	1/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Huang WL JCM 2009	1082	GCC/GAC	361	Ala/Asp	2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+INH	katG	Huang WL JCM 2009	1091	del T	364	Frameshift	2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+INH	katG	Huang WL JCM 2009	1133	CTG/CCG	378	Leu/Pro	2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+INH	katG	Huang WL JCM 2009	1136	GCC/GTC	379	Ala/Val	2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+INH	katG	Chan RCY JAC 2007	1139	ACT/ATT	380	Thr/Ile	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	2
+INH	katG	Rouse et al MM 1996	1142	GAC/GGC	381	Asp/Gly	1996	INH-resistant clinical isolates and in vitro mutants of katG in mtb						N.S.	n/a		
+INH	katG	Gagneux S PLOS Path 2006	1151	CTG/CGG	384	Leu/Arg											
+INH	katG	Chan RCY JAC 2007	1169	ACT/ATT	390	Thr/Ile	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	2
+INH	katG	Sekigushi J JCM 2007	1170	ins CTA	390	ins Leu	2007	Japam & Poland	Japan	Sequencing	Whole gene			Proportion method, BACTEC	38/138	2/0	
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	1178	ATC/AAC	393	Ile/Asn											
+INH	katG	Gagneux S PLOS Path 2006	1180	ACG/GCG	394	Thr/Ala											
+INH	katG	Secondary Publication: Hazbon MH AAC 2006	1191	TGG/TAG	397	Trp/STOP											
+INH	katG	Huang WL JCM 2009		del C	401	Frameshift	2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+INH	katG	Pretorius GS AAC 1995	1225-1226	GCC/CGC	409	Ala/Arg	1995	USA, Switzerland, South Africa	South Africa	PCR-SSCP, Sequencing		HRSEryB	2.5 ug/ml	Agar dilution method	39/69	1/0	
+INH	katG	Chan RCY JAC 2007	1226	GCC/GAC	409	Ala/Asp	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	2
+INH	katG	Huang WL JCM 2009	1237	TAC/CAC	413	Tyr/His	2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+INH	katG	Bolotin S JAC 2009	1242	AAG/AAC	414	Lys/Asn	1999-2001	Ontario Agency for Health Protection and Promotion	Canada	Sequencing	codon 250-500	H, HR		MGIT 960	154/504	1/0	
+INH	katG	Ghiladi RA J Am Chem Soc 2005 	1253	CGA/CTA	418	Arg/Leu											
+INH	katG	Mo L Microb Drug Res 2004 	1253	CGA/CAA	418	Arg/Gln											
+INH	katG	Huang WL JCM 2009	1255	GAC/CAC	419	Asp/His	2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+INH	katG	Cockerill FR JID 1995	1271	GCG/GAG	424	Ala/Glu	1995	Isolates from the Mayo Clinic	USA	PCR, RFLP,  Sequencing.	Whole gene	H	<0.12ug/ml	Proportion method		0/1	Gln224Glu and Pro429Ser in katG.
+INH	katG	Cockerill FR JID 1995	1271	GCG/GTG	424	Ala/Val	1995	Isolates from the Mayo Clinic	USA	PCR, RFLP,  Sequencing.	Whole gene	H	>32ug/ml	Proportion method		1/0	8-bp deletion in codon 10 + Ala550Asp in katG.
+INH	katG	Cockerill FR JID 1995	1285	CCG/TCG	429	Pro/Ser	1995	Isolates from the Mayo Clinic	USA	PCR, RFLP,  Sequencing.	Whole gene	H	<0.12ug/ml	Proportion method		0/1	Gln224Glu and Ala 424Glu in katG.
+INH	katG	Ramaswamy SV AAC 2003	1300	CAG/TAG	434	Gln/STOP		38 epidemiologically unrelated INH-monoresistant and 86 INH-susceptible isolates	USA, Mexico	Sequencing			>256	"BACTEC radiometric method (0.1ug/ml); E-test"	38/121	1/0	V163I (Rv0340)
+INH	katG	Zhang M J Clin Microb 2005	1329	ins A	438	Frameshift	2005	Clinical isolates	China	"IS6110-based RFLP; Sequencing."	Whole gene	H		BACTEC MGIT 960	1/87	1/0	"Arg463Leu in katG; also 1 mutation in oxy-ahpC, and 1 in efpA."
+INH	katG	Hai Hua Lin TubercRespirDis 2007	1330	GCG/ACG	444	Ala/Thr	2004		South Korea	Sequencing	Whole gene	MDR	N.S.	N.S	29/29	1/0	None
+INH	katG	Doustdar F MDR 2008	1345	CTC/TTC	449	Leu/Phe	2005-2006		Iran	Sequencing	250bp around 315 and 212 bp around 463, 238bp of inhA and 293bp of ahpC	H	N.S.	Proportion method	48/93	1/0	None
+INH	katG	Bostanabad SZ Tuberk Torak 2007	1360	GAG/CGA	454	Glu/Arg	2004-2005	Clinical INH-R MTB isolates.	Belarus	PCR, Sequencing.	209-bp segment.	H	>1ug/ml	Proportion method, BACTEC	42/42	2/0	Most had 1-4 other katG mutations (most often in codon 315).
+INH	katG	Bolotin S JAC 2009	1370	AGC/ATC	457	Ser/Ile	1999-2001	Ontario Agency for Health Protection and Promotion	Canada	Sequencing	codon 250-500	H, HR		MGIT 960	154/504	1/0	
+INH	katG	Hai Hua Lin TubercRespirDis 2007	1385	ATC/ACC	462	Ile/Thr	2004		South Korea	Sequencing	Whole gene	MDR	N.S.	N.S	29/29	1/0	inhA -15 (C/T)
+INH	katG	Heym B MolMicro 1995	1389	CGG/CTG	463	Arg/Leu											
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	1431	TGG/TGA	477	Trp/STOP											
+INH	katG	Baker LV AAC 2005	1450	CGT/AGT	484	Arg/Ser	1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array,  Sequencing	Whole gene	H,HS,HE,HSE,MDR	ratio>=4	Resistance ratio method	202/378	1/0	
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	1454	GGT/GTT	485	Gly/Val											
+INH	katG	Marttila HJ AAC 1996	1464	G/C	488	Lys/Asn	1989-1995	Clinical isolates.	Finland	PCR, Sequencing.	Whole gene	H	>1ug/ml	Disk elution method.	17/19	1/0	katG Gln295STOP
+INH	katG	Baker LV AAC 2005	1469	CGC/TGC	490	Arg/Cys	1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array,  Sequencing	Whole gene	H,HS,HE,HSE,MDR	ratio>=4	Resistance ratio method	202/378	1/0	
+INH	katG	Lavender C AAC 2005	1471	GGC/TGC	491	Gly/Cys	2001-2003	Victorian Inf DiseaseReference Lab	Australia	Multiplex allele specific PCR assay	Whole gene	H	0.4 ug/ml	BACTEC MGIT960 method	52/104	1/0	
+INH	katG	Hai Hua Lin TubercRespirDis 2007	1506	CAA/CAT	502	Gln/His	2004		South Korea	Sequencing	Whole gene	MDR	N.S.	N.S	29/29	1/0	inhA -15 (C/T)
+INH	katG	Abe C JCM 2008	1513	TGG/TCG	505	Trp/Ser	Published in 2008		Japan	Sequencing	Whole gene	H		MGIT 960	96/96	1/0	
+INH	katG	Cockerill FR JID 1995	1513	TGG/CGG	505	Trp/Arg	1995	Isolates from the Mayo Clinic	USA	PCR, RFLP,  Sequencing.	Whole gene	H	>32ug/ml	Proportion method		1/0	Tyr337Phe, Arg429Leu, Met609Ile
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	?	ins ?	511	Frameshift											
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	?	ins ?	513	Frameshift											
+INH	katG	Zhang M J Clin Microb 2005	1543	CGC/TGC	515	Arg/Cys	2005	Clinical isolates	China	Sequencing.	Whole gene	H	8ug/ml	BACTEC MGIT 960	87/137	1/0	Arg463Leu in katG.
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	?	ins ?	521	Frameshift											
+INH	katG	Zhang M J Clin Microb 2005	1559	ins 64bp	521	Frameshift	2005	Clinical isolates	China	Sequencing.	Whole gene	H	>256ug/ml	BACTEC MGIT 960	87/137	1/0	"Arg463Leu in katG; also 1 mutation in oxy-ahpC, and 1 in efpA."
+INH	katG	Marttila HJ AAC 1996	1574	CAG/CCG	525	Gln/Pro	1989-1995	Finland	Finland	Sequencing	Whole gene	H	0.4 ug/ml for I	disk elution method	54/56	1/0	
+INH	katG	Ramaswamy SV AAC 2003	1585	AAC/GAC	529	Asn/Asp	2003	Clinical isolates.	USA, Mexico, Central America, Southeast Asia, and Africa.	Sequencing	Whole gene	H	N/A	E-Test	38/124	1/0	katG Trp397Tyr, no other mutations in the 19 genes sequenced.
+INH	katG	Cockerill FR JID 1995	1649	GCC/GAC	550	Ala/Asp	1995	Isolates from the Mayo Clinic	USA	Sequencing.	Whole gene	H	0.12->32ug/ml	Proportion method			"R strain also Ala424Val; S strain also Gln224Glu,  Ala243Ser."
+INH	katG	Hai Hua Lin TubercRespirDis 2007	1652	GCC/GGC	551	Ala/Gly	2004		South Korea	Sequencing	Whole gene	MDR	N.S.	N.S	29/29	1/0	None
+INH	katG	Secondary Publication: Hazbon MH AAC 2006	1667	del C	556	Frameshift											
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	1700	TTC/TCC	567	Phe/Ser											
+INH	katG	Gagneux S PLOS Path 2006	1717	GAT/AAT	573	Asp/Asn											
+INH	katG	Secondary Publication: Hazbon MH AAC 2006	1721	GCG/GAG	574	Ala/Glu											
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	1721	GCG/GTG	574	Ala/Val											
+INH	katG	Secondary Publication: Hazbon MH AAC 2006	1759	CTG/ATG	587	Leu/Ile											
+INH	katG	Heym B MolMicro 1995	1759	CTG/ATG	587	Leu/Met	1995	Isolates from patients of Pitie Salpietre hospital in France during 1991-92	N.S.	PCR-SSCP, Sequencing	Whole gene	H	>5 ug/ml	Proportion method	39/39	1/0	
+INH	katG	Marttila HJ AAC 1996	1760	CTG/CCG	587	Leu/Pro	1989-1995	Finland	Finland	Sequencing	Whole gene	H	0.4ug/ml	disk elution method	54/56	1/0	
+INH	katG	Cockerill FR JID 1995	1765	CCC/ACC	589	Pro/Thr	1995	Isolates from the Mayo Clinic	USA	PCR, RFLP,  Sequencing.	Whole gene	H	32ug/ml	Proportion method		1/0	Arg429Leu, Ala264Thr in katG.
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	1778	GGC/GAC	593	Gly/Asp											
+INH	katG	Gagneux S PLOS Path 2006	1819	GAG/AAG	607	Glu/Lys											
+INH	katG	Cockerill FR JID 1995	1827	ATG/ATT, ATG/ATC or ATG/ATA	609	Met/Ile	1995	Isolates from the Mayo Clinic	USA	PCR, RFLP,  Sequencing.	Whole gene	H	<0.12-32ug/ml	Proportion method			"The 2 R isolates also had Arg463Leu + one other mutation each; the S isolate had no other mutations."
+INH	katG	Marttila HJ AAC 1996	1849	ins AC	617	Frameshift	1989-1995	Finland	Finland	Sequencing	Whole gene	H	1 ug/ml	disk elution method	54/56	1/0	
+INH	katG	Wei CJ AAC 2003	1856	CTC/CCC	619	Leu/Pro	2003										
+INH	katG	Rouse DA AAC 1995	1888	GGC/AGC	629	Gly/Ser	1995	WashingtonD.C, Bethesda, South Korea		PCR SSCP analysis	Whole gene	H	1ug/ml	Absolute concentration method	26/26	1/0	
+INH	katG	Wei CJ AAC 2003	1900	CTC/TTC	634	Leu/Phe	2003										
+INH	katG	Gagneux S PLOS Path 2006	1907	GCA/GAA	636	Ala/Glu											
+INH	katG	Gagneux S PLOS Path 2006	1958	CTG/CCG	653	Leu/Pro											
+INH	katG	Zhang M J Clin Microb 2005	2053	GGC/CGC	685	Gly/Arg	2005	Clinical isolates	China	Sequencing.	Whole gene	H	2ug/ml	BACTEC MGIT 960	1/87	1/0	Ser315Thr in katG.
+INH	katG	Pretorius GS AAC 1995	2084	GAC/GCC	695	Asp/Ala	1995	USA,South Africa, Switzerland	South Africa	PCR-SSCP, Sequencing		HRS	40	Agar dilution method	39/69	1/0	
+INH	katG	Baker LV AAC 2005	2096	GGG/GAG	699	Gly/Gln	1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array,  Sequencing	Whole gene	H,HS,HE,HSE,MDR	ratio>=4	Resistance ratio method	202/378	1/0	
+INH	katG	Marttila HJ AAC 1996	2098	TCC/CCC	700	Ser/Pro	1989-1995	Finland	Finland	Sequencing	Whole gene	H	1 ug/ml	disk elution method	54/56	1/0	
+INH	katG	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	2129	GTC/GCC	710	Val/Ala											
+INH	katG	Secondary Publication: Hazbon MH AAC 2006	2137	GCC/CCC	713	Ala/Pro											
+INH	katG	Secondary Publication: Hazbon MH AAC 2006	2150	CAG/CCG	717	Gln/Pro											
+INH	katG	Rouse DA AAC 1995	2146	GCG/CCG	716	Ala/Pro	1995	WashingtonD.C, Bethesda, South Korea	USA, South Korea	PCR-SSCP	Whole gene	HRP	50ug/ml	Absolute concentration method	26/26	1/0	
+INH	katG	Ramaswamy SV J Med Micro 2004	2180	GCC/GAC	727	Ala/Asp	1996-1998	Jose Gonzalez Hospital Mexica	Mexico	Directed Oligonucleotide array,  Sequencing	codon 228-357	HRS	>=1% growth 0.2ug/ml I, 40ug/ml R, 4ug/ml S, 2ug/ml E	Proportion method	37/50	1/0	Ser450Leu rpoB, nt491C/T rrs, Met306Ile embB
+INH	katG	Gagneux S PLOS Path 2006	2184	TGG/TGT or TGG/TGC	728	Trp/Cys											
+INH	katG	Gagneux S PLOS Path 2006	2203-2205	del GAC	735	del Asp											
+INH	katG	Gagneux S PLOS Path 2006	2203	GAC/AAC	735	Asp/Asn											
+INH	katG	Wei CJ AAC 2003	2204	GAC/GCC	735	Asp/Ala	2003										
+																	
+																	
+	kasA																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	kasA	Mdluli K Science 1998	196	GAT/AAT	66	Asp/Asn	1998			Sequencing	Whole gene	H			28/71	1/0	not mentioned
+INH	kasA	Ramaswamy SV AAC 2003 	231	ATG/ATA	77	Met/Ile	2004	Jose Gonzalez tuberculosis clinic in Mexico	Mexico								
+INH	kasA	Lee ASG AAC 1999	362	AGG/AAG	121	Arg/Lys	1994-1996	Central Tuberculosis Lab, Singapore	Singapore	Sequencing	Whole gene	H	0.1ug/ml	BACTEC 460	160/192	1/0	present but not mentioned
+INH	kasA	Mdluli K Science 1998	805	GGT/AGT	269	Gly/Ser	1998			Sequencing	Whole gene	H			28/71	1/0	not mentioned
+INH	kasA	Mdluli K Science 1998	934	GGC/AGC	312	Gly/Ser				Sequencing	Whole gene	H			28/71	1/0	not mentioned
+INH	kasA	Lee ASG AAC 1999	1160	GGC/GAC	387	Gly/Asp	1994-1996	Central Tuberculosis Lab, Singapore	Singapore	Sequencing	Whole gene	H	0.1ug/ml	BACTEC 460	160/192	1/0	present but not mentioned
+INH	kasA	Mdluli K Science 1998	1239	TTC/TTA	413	Phe/Leu	1998			Sequencing	Whole gene	H	0.1ug/ml		28/71	1/0	not mentioned
+																	
+																	
+	ndh Rv1584c																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	ndh	Cardoso RF Mem Inst Oswaldo Cruz 2007	37	CGT/TGT	13	Arg/Cys	2006	Institute Adofe Lutz of Ribeirao Preto, Sorocaba, Institute Clemente Ferreira, Sao Paulo and Clinical Bacteriology Lab Parana	Brazil	Sequencing	Whole gene	H	>32ug/ml	Microplate alamar blue assay	24/36	1/0	S315T katG
+INH	ndh	Cardoso RF Mem Inst Oswaldo Cruz 2007	53	GTG/GCG	18	Val/Ala	2006	Institute Adofe Lutz of Ribeirao Preto, Sorocaba, Institute Clemente Ferreira, Sao Paulo and Clinical Bacteriology Lab Parana	Brazil	Sequencing	Whole gene	H	32ug/ml	Microplate alamar blue assay	24/36	1/0	insA at nt17 katG
+INH	ndh	Lee ASG AAC 2001	328	ACC/GCC	110	Thr/Ala	1994-1996	Central Tuberculosis Laboratory, Singapore General Hospital	Singapore	Sequencing	Whole gene	H		BACTEC 460 	84/106	1/0	none
+INH	ndh	?	716	CTG/CCG	239	Leu/Pro											
+INH	ndh	Lee ASG AAC 2001	804	CGC/CAC	268	Arg/His	1994-1996	Central Tuberculosis Laboratory, Singapore General Hospital	Singapore	Sequencing	Whole gene	H		BACTEC 460 	84/106	7/0	
+																	
+	oxyR-ahpC																
+																	
+	oxyR																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	OxyR	Sreevatsan S AAC 1997  (*)	331	A/C			1997		Brazil, Chile, Mexico, Venezuela, Kenya, Yemen, Philippines, Japan, Netherlands, Romania, USA  	Sequencing	Whole gene	H		Proportion method, BACTEC 460	70/181	only in susceptible	not mentioned
+INH	OxyR	Sreevatsan S AAC 1997  (*)	325	G/T			1997		Brazil, Chile, Mexico, Venezuela, Kenya, Yemen, Philippines, Japan, Netherlands, Romania, USA	Sequencing	Whole gene	H		Proportion method, BACTEC 460	70/181	1/0	not mentioned
+INH	OxyR	Sreevatsan S Escalante P JCM 1996  (*)	285	G/A			1996		Brazil, Chile, Ecuador, India, Trinidad-Tobago, Mongolia, Romania, Yugoslavia, Spain, Israel, Turkey, Guinea, Algeria, Kenya, Zaire, Somalia,  Mexico, Venezuela, Kenya, Yemen, Philippines, Japan, Netherlands, Romania, USA	Sequencing	410 bp of oxyR						
+INH	OxyR	Sreevatsan S AAC 1997  (*)	67	ins GGCG			1997		Brazil, Chile, Mexico, Venezuela, Kenya, Yemen, Philippines, Japan, Netherlands, Romania, USA	Sequencing	Whole gene			Proportion method, BACTEC 460	70/181	not mentioned	not mentioned
+INH	OxyR	Sreevatsan S AAC 1997  (*)	37	C/T			1997		Brazil, Chile, Mexico, Venezuela, Kenya, Yemen, Philippines, Japan, Netherlands, Romania, USA	Sequencing	Whole gene			Proportion method, BACTEC 460	70/181	found in both susceptible and resistant	not mentioned
+INH	OxyR	Lee ASG AAC 1999	28	C/A			1994-1996	Singapore Gnereal Hospital Pathology Lab	Singapore	Sequencing	promoter region of ahpC	H	0.1ug/ml	BACTEC 460	160/192	1/0	mostly S315T katG or inhA promoter mutation
+INH	OxyR	Lee ASG AAC 1999	27	G/T			1994-1996	Singapore Gnereal Hospital Pathology Lab	Singapore	Sequencing	promoter region of ahpC	H	0.1ug/ml	BACTEC 460	160/192	1/0	mostly S315T katG or inhA promoter mutation
+INH	OxyR	Lee ASG AAC 1999	18	G/A			1994-1996	Singapore Gnereal Hospital Pathology Lab	Singapore	Sequencing	promoter region of ahpC	H	0.1ug/ml	BACTEC 460	160/192	1/1	mostly S315T katG or inhA promoter mutation
+																	
+	OxyR-ahpC intergenic																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	OxyR-ahpC intergenic	Rindi L Int J Tuberc Lung Dis 2005	-74	G/A	-74		1994-2002	Clinical Mycobacterial Lab, Pisa and Regional reference centre ,Careggi Hospital	Italy	Sequencing	nt 583-819	36H,9MDR	0.1ug/ml	BACTEC 460	45/45	1/0	not mentiond
+INH	OxyR-ahpC intergenic	Huang WL JCM 2009	-66	G/A	-66		2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	2/0	not mentiond
+INH	OxyR-ahpC intergenic	Rindi L Int J Tuberc Lung Dis 2005	-54	C/T	-54		1994-2002	Clinical Mycobacterial Lab, Pisa and Regional reference centre ,Careggi Hospital	Italy	Sequencing	nt 583-819	36H,9MDR	0.1ug/ml	BACTEC 460	45/45	1/0	not mentiond
+INH	OxyR-ahpC intergenic	Gagneux S PLOS Path 2006	-54	ins ATGT	-54												
+INH	OxyR-ahpC intergenic	No Publication Listed	-52	C/T	-52												
+INH	OxyR-ahpC intergenic	Doustdar F MDR 2008	-49	T/G	-49		2005-2006		Iran	Sequencing	250bp around 315 and 212 bp around 463, 238bp of inhA and 293bp of ahpC	H	N.S.	Proportion method	48/93	1/0	None
+INH	OxyR-ahpC intergenic	Ramaswamy SV AAC 2003	-48	G/A	-48												
+INH	OxyR-ahpC intergenic	Lee ASG AAC 1999	-46	G/A	-46		1994-1996	Singapore Gnereal Hospital Pathology Lab	Singapore	Sequencing	oxyRahpC intergenic region 	H	0.1ug/ml	BACTEC 460	160/192	1/0	katG del/mut or inhA  mutation
+INH	OxyR-ahpC intergenic	Secondary Publication: Hazbon MH AAC 2006	-46	del G	-46												
+INH	OxyR-ahpC intergenic	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	-45	C/T	-45												
+INH	OxyR-ahpC intergenic	Sreevatsan S AAC 1997  (*)	-44	T/A	-44		1997		Brazil, Chile, Mexico, Venezuela, Kenya, Yemen, Philippines, Japan, Netherlands, Romania, USA	Sequencing	oxyRahpC intergenic region 			Proportion method, BACTEC 460	70/169	1/0	katG deletion
+INH	OxyR-ahpC intergenic	Silva MS JCM 2003	-40	T/C	-40		1996-1999	Lab Central Rio Grande  De Sul, Rio de Janeiro, Instituto Adolfo Lutz, Sao Paulo	Brazil	PCR-SSCP, Sequencing	oxyRahpC intergenic region 	H,HR,HRS,HRP,HS,HRE,HRES,HRESP		Proportion method	69/69	1/0	S315T kat G
+INH	OxyR-ahpC intergenic	Silva MS JCM 2003	-39	C/T	-39		1996-1999	Lab Central Rio Grande  De Sul, Rio de Janeiro, Instituto Adolfo Lutz, Sao Paulo	Brazil	PCR-SSCP, Sequencing	oxyRahpC intergenic region 	H,HR,HRS,HRP,HS,HRE,HRES,HRESP		Proportion method	69/69	2/0	none
+INH	OxyR-ahpC intergenic	Baker LV AAC 2005	-34	T/A	-34		1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array,  Sequencing	oxyRahpC intergenic region 	H,HS,HE,HSE,MDR	ratio>=1	Resistance ratio method	202/378	1/0	Arg463Leu katG
+INH	OxyR-ahpC intergenic	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	-34	T/C	-34												
+INH	OxyR-ahpC intergenic	Baker LV AAC 2005	-34	del T	-34		1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array, Sequencing	oxyR'-ahpC intergenic region 	H,HS,HE,HSE,MDR	ratio>=1	Resistance ratio method	202/378	1/0	S315T, Arg463Leu katG
+INH	OxyR-ahpC intergenic	Sreevatsan S AAC 1997  (*)	-32	G/A	-32		1997		Brazil, Chile, Mexico, Venezuela, Kenya, Yemen, Philippines, Japan, Netherlands, Romania, USA	Sequencing	oxyRahpC intergenic region 	H		BACTEC 460 radiometric method or Proportion method for MTB and Mafricanum isolates only	70/169	1/0	none
+INH	OxyR-ahpC intergenic	Huang WL JCM 2009	-32	C/T	-32		2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+INH	OxyR-ahpC intergenic	Lee ASG AAC 1999	-30	C/T	-30		1994-1996	Singapore Gnereal Hospital Pathology Lab	Singapore	Sequencing	oxyRahpC intergenic region 	H	0.1ug/ml	BACTEC 460	160/192	2/0	katG del/mut or inhA mut
+INH	OxyR-ahpC intergenic	Baker LV AAC 2005	-20	C/T	-20		1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array,  Sequencing	oxyRahpC intergenic region 	H,HS,HE,HSE,MDR	ratio>=1	resistance ratio method	202/378	1/0	none
+INH	OxyR-ahpC intergenic	Gagneux S PLOS Path 2006	-15	C/T	-15												
+INH	OxyR-ahpC intergenic	Lee ASG AAC 1999	-12	C/T	-12		1994-1996	Singapore Gnereal Hospital Pathology Lab									
+INH	OxyR-ahpC intergenic	Gagneux S PLOS Path 2006	-10	C/A	-10												
+INH	OxyR-ahpC intergenic	Gagneux S PLOS Path 2006	-10	C/T	-10												
+INH	OxyR-ahpC intergenic	Secondary Publication: Hazbon MH AAC 2006	-10	C/G	-10												
+INH	OxyR-ahpC intergenic	Silva MS JCM 2003	-9	G/A	-9		1996-1999	Lab Central Rio Grande  De Sul, Rio de Janeiro, Instituto Adolfo Lutz, Sao Paulo	Brazil	PCR-SSCP, Sequencing	Promoter region of ahpC	H,HR,HRS,HRP,HS,HRE,HRES,HRESP		Proportionmethod on Ogawa medium	69/69	1/0	none
+INH	OxyR-ahpC intergenic	Lee ASG AAC 1999	-6	G/A	-6		1994-1996	Singapore general hospital Pathology Lab	Singapore	Sequencing	Promoter region of ahpC	H	0.1ug/ml	BACTEC 460	160/192	1/0	katG del/mut or inhA mut
+INH	OxyR-ahpC intergenic	Huang WL JCM 2009	-5	G/A	-5		2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+INH	OxyR-ahpC intergenic	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	-4	A/G	-4												
+INH	OxyR-ahpC intergenic	Huang WL JCM 2009	-4	ins A	-4		2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+INH	OxyR-ahpC intergenic	Secondary Publication: Hazbon MH AAC 2006	-4	ins T	-4												
+INH	OxyR-ahpC intergenic	Gagneux S PLOS Path 2006	0	T/C	0												
+																	
+	ahpC																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	ahpC	Lee ASG AAC 1999	4	CCA/TCA	2	Pro/Ser	1994-1996	Singapore general hospital Pathology Lab	Singapore	Sequencing	Promoter region of ahpC	H	0.1ug/ml	BACTEC 460	160/192	1/0	katG del/mut or inhA mut
+INH	ahpC	Kiepiela P Tuber Lung Dis 2000	7	CTG/AAG	3	Leu/Lys	1995	King George V Hospital Mycobacterial Lab,Durban	South Africa	PCR-SSCP, Sequencing	N.S	H	>8ug/ml	BACTEC 460	79/96	1/0	Pro2Pro ahpC, katG mut present but not specified
+INH	ahpC	Lee ASG AAC 1999	14	ACC/ATC	5	Thr/Ile	1994-1996	Singapore general hospital Pathology Lab	Singapore	Sequencing	Promoter region of ahpC	H	0.1ug/ml	BACTEC 460	160/192	1/0	katG del/mut or inhA mut
+INH	ahpC	Silva MS JCM 2003	28	TTC/ATC	10	Phe/Ile	1996-1999	Lab Central Rio Grande  De Sul, Rio de Janeiro, Instituto Adolfo Lutz, Sao Paulo	Brazil	PCR-SSCP, Sequencing	Promoter region of ahpC	H,HR,HRS,HRP,HS,HRE,HRES,HRESP		Proportionmethod on Ogawa medium	69/69	1/0	S315T katG
+INH	ahpC	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	97	GAC/AAC	33	Asp/Asn											
+INH	ahpC	Secondary Publication: Hazbon MH AAC 2006	217	GAC/CAC	73	Asp/His											
+INH	ahpC	Chan RCY JAC 2007	226	GAG/AAG	76	Glu/Lys	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	N.S.		Absolute concentration method	250	241	2
+INH	ahpC	Secondary Publication: Hazbon MH AAC 2006	572	CTC/CGC	191	Leu/Arg											
+																	
+																	
+	mabA-inhA intergenic																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	mabA, fabG1	Ramaswamy SV AAC 2003	-147	G/T	-147												
+INH	mabA, fabG1	Lee ASG AAC 1999	-92	A/T	-92		1994-1996	Singapore general hospital Pathology Lab	Singapore	Sequencing	Promoter region of inhA	H	0.1ug/ml	BACTEC 460	160/192	1/0	katG or ahpC-oxyR mut
+INH	mabA, fabG1	Doustdar F MDR 2008	-67	G/C	-67		2005-2006		Iran	Sequencing	250bp around 315 and 212 bp around 463, 238bp of inhA and 293bp of ahpC	H	N.S.	Proportion method	48/93	1/0	inhA 40 G/C and ahpC -6 G/A
+INH	mabA, fabG1	Rindi L Int J Tuberc Lung Dis 2005	-24	G/T	-24		1994-2002	Clinical Mycobacterial Lab, Pisa and Regional reference centre ,Careggi Hospital	Italy	Sequencing	nt 56-303				45/45	1/0	not mentioned
+INH	mabA, fabG1	Rouse DA AAC 1995	-24	G/T	-24		1995	WashingtonD.C, Bethesda, South Korea		PCR SSCP analysis,	N.S.	HS	0.2ug/ml I, 4ug/mlS	Absolute concentration method	26/26	1/0	R463l katG
+INH	mabA, fabG1	Baker LV AAC 2005	-24	G/T	-24		1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array,  Sequencing	inhA promoter region	H,HS,HE,HSE,MDR	ratio>=4	Resistance ratio method	202/378	1/0	S315T Arg463Leu in katG, -46G/A in oxyRahpc intergenic region
+INH	mabA, fabG1	Morlock GP AAC 2003	-17	G/T	-17		2003	USA CDC, Brazil, Russia	USA	Sequencing	284 bp of inhA promoter and nt 13-379 of inhA	HEth	100ug/ml E, 8 ug/ml I	Proportion method	41/42	1/0	I21T inhA ORF
+INH	mabA, fabG1	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	-16	A/G	-16												
+INH	mabA, fabG1	Lee ASG AAC 1999	-15	C/T	-15		1994-1996	Singapore general hospital Pathology Lab	Singapore	Sequencing	Promoter region of inhA	H	0.1UG/ML	BACTEC 460 radimetric method	160/192	43/0	katG or ahpC-oxyR mut
+INH	mabA, fabG1	Secondary Publication: Hazbon MH AAC 2006	-11	A/T	-11												
+INH	mabA, fabG1	Lee ASG AAC 1999	-8	T/A	-8		1994-1996	Singapore general hospital Pathology Lab	Singapore	Sequencing	Promoter region of inhA	H	0.1UG/ML	BACTEC 460 radimetric method	160/192	1/0	katG or ahpC-oxyR mut
+INH	mabA, fabG1	Baker LV AAC 2005	-8	T/C	-8		1998	records from National  laboratory Myco resistance network database	United Kingdom	Directed Oligonucleotide array,  Sequencing	Promoter region of inhA	H,HS,HE,HSE,MDR	ratio>=4	Resistance ratio method	202/378	1/0	none
+INH	mabA, fabG1	Rouse DA AAC 1995	-8	T/G	-8		1995	WashingtonD.C, Bethesda, South Korea		PCR SSCP analysis	not specified	H	0.2ug/ml	Absolute concentration method	39990	1/0	none
+INH	mabA, fabG1	Sekigushi J JCM 2007	-5	T/A	-5		2007	Japan & Poland		Sequencing	nt-217 to -198, 1145-1126			Proportion method, BACTEC	38/138	1/0	M257T R463L katG
+																	
+	mabA																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	mabA, fabG1	Doustdar F MDR 2008	13	GCC/CCC	5	Ala/Pro	2005-2006		Iran	Sequencing	250bp around 315 and 212 bp around 463, 238bp of inhA and 293bp of ahpC	H	N.S.	Proportion method	48/93	1/0	mabA -15 C/T and ahpC -6 G/A
+INH	mabA, fabG1	Doustdar F MDR 2008	40	GTA/CTA	14	Val/Leu	2005-2006		Iran	Sequencing	250bp around 315 and 212 bp around 463, 238bp of inhA and 293bp of ahpC	H	N.S.	Proportion method	48/93	1/0	mabA -67 G/C and ahpC -6 G/A
+INH	mabA, fabG1	Secondary Publication: Hazbon MH AAC 2006	61	ACC/GCC	21	Thr/Ala											
+																	
+	inhA																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	inhA	Hai Hua Lin TubercRespirDis 2007	24	AAA/AAC	8	Lys/Asn	2004		South Korea	Sequencing	Whole gene	MDR	N.S.	N.S	29/29	1/0	inhA -15 (C/T)
+INH	inhA	Basso L JID 1998 	47	ATC/ACC	16	Ile/Thr	1998		USA	Sequencing	Whole gene	H	1.0ug/ml	BACTEC	N.S.	1/0	none
+INH	inhA	Morlock GP AAC 2003	61	ATC/GTC	21	Ile/Val	2003	USA CDC, Brazil, Russia	USA	Sequencing	284 bp inhA promoter and nt 13-379 of inhA	HEth	8ug/mlI, >200ug/ml Eth	Proportion metho	41/42	2/0	C(-15)T inhA regulator
+INH	inhA	Morlock GP AAC 2003	62	ATC/ACC	21	Ile/Thr	2003	USA CDC, Brazil, Russia	USA	Sequencing	284 bp inhA promoter and nt 13-379 of inhA	HEth	>32ug/ml, 8ug/ml I, >200 ug/ml or 100ug/ml Eth	Proportion method	41/42	3/0	C(-15)T, G(-17)T inhA regulator,
+INH	inhA	Basso L JID 1998 	140	ATT/ACT	47	Ile/Thr	1998		USA	Sequencing	Whole gene	H	1.0 ug/ml	BACTEC	N.S.	1/0	none
+INH	inhA	Basso L JID 1998 	233	GTG/GCG	78	Val/Ala	1998		USA	Sequencing	Whole gene	H	1.0 ug/ml	BACTEC	N.S.	1/0	none
+INH	inhA	Lee H Int J Tuberc Lung Dis 2000	280	TCG/GCG	94	Ser/Ala	2000	Korean Institute of TB Seoul	South Korea	Sequencing	nt174-382	HR	0.2ug/ml I, 20ug/ml R		24/24	1/0	
+INH	inhA	Vilcheze C Nat Med 2006 	281	TCG/TTG	94	Ser/Leu											
+INH	inhA	Ristow M Lancet 1995	283-284	ATT/CCT	95	Ile/Pro	1995		Germany, Nepal	Sequencing	inhA codon 94	HEth	All 7 were resistant to I or Eth or both.	Proportion method	38/47	 7/0 	not mentioned
+INH	inhA	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	284	ATT/ACT	95	Ile/Thr											
+INH	inhA	Leung ET AAC 2006	581	ATC/ACC	194	Ile/Thr	1999-2002	HongKong, South China	Hong Kong, China	Sequencing	  -38 to-13, 250-268,381-399,510-492,860-840,	H	>1ug/ml	Proportion method	102/375	1/0	not mentioned
+INH	inhA	Huang WL JCM 2009			202	Arg/Gly	2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+INH	inhA	Huang WL JCM 2009			217	Glu/Asp	2007-2008		Taiwan	Sequencing	N.S.	242MDR	N.S.	MGIT 960	242/272	1/0	not mentiond
+																	
+	embB																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	embB	Shi R AAC 2007 	997	TAT/CAT	333	Tyr/His	2000		China	Sequencing	Whole gene	HRS			141/181	1/0	not mentioned
+																	
+	furA																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	furA	Ramaswamy S AAC 2003	13	TCC/CCC	5	Ser/Pro	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+																	
+	Rv0340																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	Rv0340	Ramaswamy S AAC 2003	487	GTT/ATT	163	Val/Ile	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+																	
+	iniB																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	iniB	Ramaswamy S AAC 2003	665	del 12 bp	222		2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+																	
+	iniA																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	iniA	Ramaswamy S AAC 2003	7	CCC/GCC	3	Pro/Ala	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+INH	iniA	Ramaswamy S AAC 2003	282	del 5 bp	94	Frameshift	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+INH	iniA	Ramaswamy S AAC 2003	1610	CGC/CAC	537	Arg/His	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+																	
+	iniC																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	iniC	Ramaswamy S AAC 2003	247	TGG/GGG	83	Trp/Gly	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+																	
+	Rv1592c																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	Rv1592c	Ramaswamy S AAC 2003	-29	G/A			2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+INH	Rv1592c	Ramaswamy S AAC 2003	125	CCT/CTT	42	Pro/Leu	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+INH	Rv1592c	Ramaswamy S AAC 2003	1289	GTG/GCG	430	Val/Ala				Sequencing	Whole gene	H		Resistance ratio method, E-test			
+																	
+	Rv1772																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	Rv1772	Ramaswamy S AAC 2003	10	ACA/GCA	4	Thr/Ala	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+																	
+	srm R homolog																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	srm R homolog	Ramaswamy S AAC 2003	8	GAC/GGC	3	Asp/Gly	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+INH	srm R homolog	Ramaswamy S AAC 2003	968	ATG/ACG	323	Met/Thr	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+																	
+	fabD																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	fabD	Ramaswamy S AAC 2003	824	AGC/AAC	275	Ser/Asn	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+																	
+	accD6																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	accD6	Ramaswamy S AAC 2003	686	GAC/GGC	229	Asp/Gly	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+																	
+	fbpC																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations
+INH	fbpC	Ramaswamy S AAC 2003	-63	C/T			2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+INH	fbpC	Ramaswamy S AAC 2003	472	GGC/AGC	158	Gly/Ser	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test			
+																	
+	fadE24																
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations	
+INH	fadE24	Ramaswamy S AAC 2003	-64	ins 2 bp			2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test				
+INH	fbpC	Ramaswamy S AAC 2003	-23	A/C			2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test				
+																		
+	efpA																	
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations	
+INH	efpA	Ramaswamy S AAC 2003	218	ATC/ACC	73	Ile/Thr	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test				
+																		
+	nhoA																	
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations	
+INH	nhoA	Ramaswamy S AAC 2003	201	GGC/GGT	67	Gly/Arg	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test				
+INH	nhoA	Ramaswamy S AAC 2003	620	GGG/GAG	207	Gly/Glu	2003		USA, Mexico	Sequencing	Whole gene	H		Resistance ratio method, E-test				
+
+PARA-AMINOSALISYLIC ACID [PAS]																		
+																		
+	thyA																	
+Drug	Gene	Primary reference	nt	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	Resistant isolates/Total isolates tested for mutation	Resistant/Sensitive isolates with mutation	Additional mutations		
+PAS	thyA	Rengarajan J MolMicro 2004	604	ACC/GCC	202	Thr/Ala	Published 2004	PAS-resistant (n=8) and PAS-sensitive (n=10) clinical M.tb isolates. Total N=18	Russia	Sequencing	Whole gene	PAS	N.S.	N.S.	8/18	2/0	None in region analyzed.		
+PAS	thyA	Rengarajan J MolMicro 2004	664	CGC/GGC	222	Arg/Gly	Published 2004	PAS-resistant (n=8) and PAS-sensitive (n=10) clinical M.tb isolates. Total N=18	Russia	Sequencing	Whole gene	PAS	N.S.	N.S.	8/18	1/0	None in region analyzed.		
+
+PYRAZINAMIDE [PZA]																			
+																			
+	pncA																		
+Drug	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistancepattern	MIC 	Susceptibility testing method	Resistant isolates/Total isolates tested for mutation	Resistant/Sensitive isolates with mutation	Additional mutations		
+PZA	pncA	Morlock GP AAC 2000	-16/-11	AACGTA/GGCAGTT			1999			Sequencing	Whole gene	Z	400	Proportion method	37/60	1/0			
+PZA	pncA	Marttila HJ AAC 1999	-12	T/G			1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested		
+PZA	pncA	Scorpio A AAC 1997	-11	A/C			1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0			
+PZA	pncA	Sreevatsan S AAC 1997	-11	A/G			1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460 	67/118	2/0			
+PZA	pncA	Morlock GP AAC 2000	-7	T/C			1999			Sequencing	Whole gene	Z	100	Proportion method	37/60	1/0			
+PZA	pncA	Hou L Epi Infect 2000	1	del 8bp	1	Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRHSE	>2000	Proportion method, BACTEC 460	35/65	1/0			
+PZA	pncA	Scorpio A AAC 1997	1	del 11bp	1	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	2/0			
+PZA	pncA	Portugal I AAC 2004	2	ATG/ACG	1	Met/Thr	2000-2001	several hospitals in Lisbon	Portugal	Sequencing	Whole gene	Z		BACTEC MGIT 960	55	55			
+PZA	pncA	Lee KW J Korean Med Sci 2001	3	ATG/ATT	1	Met/Ile	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lemaitre N AAC 1999	7	GCG/CCG	3	Ala/Pro	1986		France	Sequencing	Whole gene	ZHR	1000			1/0	
+PZA	pncA	Sekiguchi JI JCM 2007	8	GCG/GAG	3	Ala/Glu	2006	TB patients in Japan and Poland	Japan	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	11	TTG/TGG	4	Leu/Trp	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Morlock GP AAC 2000	11	TTG/TCG	4	Leu/Ser	1999			Sequencing	Whole gene	Z	800	Proportion method	37/60	1/0	
+PZA	pncA	Scorpio A AAC 1997	14	ATC/AGC	5	Ile/Ser	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Escalante P TuberLung Dis 1998	19	GTC/ATC	7	Val/Ile	1995, 1996	patients w/ pulmonary TB	Peru	Sequencing	Whole gene	ZHRPES		Proportion method	11/29	1/0	"katG, 315, AGC/ACC; rpoB, 531, TCG/TTG; "
+PZA	pncA	Escalante P TuberLung Dis 1998	19	GTC/TTC	7	Val/Phe	1995, 1996	patients w/ pulmonary TB	Peru	Sequencing	Whole gene	ZHRPS		Proportion method	11/29	1/0	"katG, 315, AGC/ACC; rpoB, 531, TCG/TTG; embB, 328, GAT:A del"
+PZA	pncA	Hirano  TLD 1997	20	GTC/GGC	7	Val/Gly	1997	168 mtb strain isolated in 9 Asian countries and Canada	Yemen	Sequencing	Whole gene	ZHRSE	>800	Proportion method	33/168	2/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	20	GTC/GAC	7	Val/Asp	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Marttila HJ AAC 1999	22	GAC/TAC	8	Asp/Tyr	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Lee KW J Korean Med Sci 2001	23	GAC/GGC	8	Asp/Gly	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Scorpio A AAC 1997	24	GAC/GAG	8	Asp/Glu	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	26	GTG/GCG	9	Val/Ala	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	26	GTG/GGG	9	Val/Gly	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	26	GTG/TTG	9	Val/Leu	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Chan RCY JAC 2007	27	GTG/TCG	9	Val/Ser	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Scorpio A AAC 1997	28	del C	10	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Marttila HJ AAC 1999	28	CAA/AAA	10	Gln/Lys	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Marttila HJ AAC 1999	28	CAA/TAA	10	Gln/STOP	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Cheng SJ AAC 2000	29	CAG/CGA	10	Gln/Arg	1990-1992		USA	Sequencing	Whole gene	ZHREO	>900	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Hirano  TLD 1998	29	CAG/CCG	10	Gln/Pro	1997	168 mtb strain isolated in 9 Asian countries and Canada	Myanmar	Sequencing	Whole gene	ZHRSE	>800	Proportion method	33/168	1/0	
+PZA	pncA	Morlock GP AAC 2000	29	CAG/CCA	10	Gln/Pro	1999			Sequencing	Whole gene	Z	800	Proportion method	37/60	1/0	
+PZA	pncA	Scorpio A AAC 1997	34	GAC/AAC	12	Asp/Asn	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Scorpio A AAC 1997	35	GAC/GCC	12	Asp/Ala	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Lemaitre N AAC 1999	38	TTC/TCC 	13	Phe/Ser	1987		France	Sequencing	Whole gene	ZHRES	>2000		19/35	1/0	
+PZA	pncA	Scorpio A AAC 1997	40	TGC/CGC	14	Cys/Arg	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	40	TGC/CGC	14	Cys/His	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Lee KW J Korean Med Sci 2001	41	TGC/TAC	14	Cys/Tyr	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Chan RCY JAC 2007	47	del G	16	Frameshift	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Hirano  TLD 1998	50	GGC/GAC	17	Gly/Asp	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHRS	>800	Proportion method	33/168	2/0	
+PZA	pncA	Chan RCY JAC 2007	50	GGC/GTC	17	Gly/Val	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Cheng SJ AAC 2000	52	ins GG		Frameshift			USA	Sequencing	Whole gene	ZHR	>900	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Chan RCY JAC 2007	56	CTG/CGG	19	Leu/Arg	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Sreevatsan S AAC 1997	56	CTG/CCG	19	Leu/Pro	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460 	67/118	1/0	
+PZA	pncA	Chan RCY JAC 2007	62	GTA/GGA	21	Val/Gly	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Chan RCY JAC 2007	64	del A	22	Frameshift	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Hou L Epi Infect 2000	59	del C	20	Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRSE	1800	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	68-69	GGT/GTC	23	Gly/Val	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	70	del G	24	Frameshift	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	7/0	
+PZA	pncA	Hou L Epi Infect 2000	71	del G	24	Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRH	600	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	74-75	GCC/GAA	25	Ala/Glu	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Scorpio A AAC 1997	77	GCG/GGG	26	Ala/Gly	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Marttila HJ AAC 1999	84	del C	28	Frameshift	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Lee KW J Korean Med Sci 2001	83	GCC/GAC	28	Ala/Asp	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Hannan MM JCM 2001	88-112	del 24bp		Frameshift	1996-1999	isolates from 5 counties in California	California	Sequencing	Whole gene	Z		BACTEC radiometric testing	3/11	1/0	
+PZA	pncA	Scorpio A AAC 1997	98-216	del 118bp		Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Scorpio A AAC 1997	100	ins T	34	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Hirano  TLD 1998	101	TAC/TCC	34	Tyr/Ser	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHRSE	>800	Proportion method	33/168	2/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	104	CTG/CGG	35	Leu/Arg	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	109-110	GGA/TAA	37	Glu/STOP	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Morlock GP AAC 2000	106	del 5.3kb		Frame/TRUNC	1999			Sequencing	Whole gene	Z	800	Proportion method	37/60	1/0	
+PZA	pncA	Hou L Epi Infect 2000	121	TAC/CAC	41	Tyr/His	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZHRE	600	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Hirano  TLD 1998	123	TAC/TAA	41	Tyr/STOP	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHRSE	>800	Middlebrook 7H11 agar w/ pH of 6.0	33/168	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	123	TAC/TAG	41	Tyr/STOP	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Hirano  TLD 1998	128	CAC/CCC	43	His/Pro	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHR	>800	Proportion method	33/168	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	134	GTG/GGG	45	Val/Gly	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Hirano  TLD 1998	136	G ins	46	Frameshift	1997	168 mtb strain isolated in 9 Asian countries and Canada	Yemen	Sequencing	Whole gene	ZHE	>800	Proportion method	33/168	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	136	GCA/CCA	46	Ala/Pro	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Cheng SJ AAC 2000	137	GCA/GAA	46	Ala/Glu			South korea	Sequencing	Whole gene	Z	>500	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Cheng SJ AAC 2000	137	GCA/GTA	46	Ala/Val			South korea	Sequencing	Whole gene	Z	>500	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Hou L Epi Infect 2000	139	ACC/CCC	47	Thr/Pro	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRSE	1500	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Marttila HJ AAC 1999	139	ACC/TCC	47	Thr/Ser	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Sreevatsan S AAC 1997	139	ACC/GCC	47	Thr/Ala	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	11/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	145	GAC/CAC	49	Asp/His	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Lee KW J Korean Med Sci 2001	146	GAC/GCC	49	Asp/Ala	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Marttila HJ AAC 1999	146	GAC/GTC	49	Asp/Val	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Marttila HJ AAC 1999	146	GAC/GGC	49	Asp/Gly	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Rodrigues V de F AAC 2005	151	CAC/AAC	51	His/Asn	1998-2003	Selected according to culture availability in health centers in Brazl	Brazil	Sequencing	Whole gene	Z		Proportion method	59	40	
+PZA	pncA	Mestdagh M AAC 1999	151	CAC/TAC	51	His/Tyr	1999	54 MDR mtb clinical strains	Scotland	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	151-230	del 80bp		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Hirano  TLD 1998	152	CAC/CCC	51	His/Pro	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHR	>800	Proportion method	33/168	1/0	
+PZA	pncA	Hirano  TLD 1998	152	CAC/CGC	51	His/Arg	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHR	>800	Proportion method	33/168	1/0	
+PZA	pncA	Sekiguchi JI JCM 2007	153	CAC/CAG	51	His/Gln	2006	TB patients in Japan and Poland	Poland	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0	
+PZA	pncA	Sekiguchi JI JCM 2007	153	CAC/CAA	51	His/Gln	2006	TB patients in Japan and Poland	Japan	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	2/0	
+PZA	pncA	Sekiguchi JI JCM 2007	151	GAC/AAC	53	Asp/Asn	2006	TB patients in Japan and Poland	Japan	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0	
+PZA	pncA	Cheng SJ AAC 2000	158	GAC/GCC	53	Asp/Ala			South korea	Sequencing	Whole gene	Z	>100	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	158	del A	53	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	160 	CCG/ACG	54	Pro/Thr	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	161	CCG/CTG	54	Pro/Leu	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Lee KW J Korean Med Sci 2001	161	del C	54	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Scorpio A AAC 1997	162	ins T	54	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Scorpio A Nature Med 1996	162	del G	54	Frameshift		clinical isolates from L. Heifets, National Jewish Center for Immunology and Resp. Diseases	USA	Sequencing	Whole gene	MDR	>500ug/ml	"7H9 liquid medium, pH5.6; PZase activity assayed according to Wayne's method "	4/7	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	169	CAC/TAC	57	His/Tyr	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Sreevatsan S AAC 1997	169	CAC/GAC	57	His/Asp	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	2/0	
+PZA	pncA	Brown TJ JMedMicro 2000	170	CAC/CCC	57	His/Pro	2000	"4 sensitive, 6 MDR from Turkey; 8 isolates from nosocomial MDR TB outbreak in UK "	Turkey	Sequencing	Whole gene	ZHRP		"BACTEC radiometric-based culture method, standard protocol; and PZase activity"	13/18	1/0	A2416T (rpoB)
+PZA	pncA	Chan RCY JAC 2007	170	CAC/CTC	57	His/Leu	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	172	del T	58	Frameshift	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Escalante P TuberLung Dis 1998	172	TTC/CTC	58	Phe/Leu	1995-1996	patients w/ pulmonary TB	Peru	Sequencing	Whole gene	ZHR		Proportion method	11/29	1/0	"katG, 315, AGC/ACC; rpoB, 526 cac/ctc; embB, 306, ATG/ATA "
+PZA	pncA	Hirano  TLD 1998	174	TTC/TTG	58	Phe/Leu	1997	168 mtb strain isolated in 9 Asian countries and Canada	Canada	Sequencing	Whole gene	ZHRS	400	Proportion method	33/168	1/0	
+PZA	pncA	Brown TJ JMedMicro 2000	175	TCC/CCC	59	Ser/Pro	2000	"4 sensitive, 6 MDR from Turkey; 8 isolates from nosocomial MDR TB outbreak in UK "	Turkey	Sequencing	Whole gene	ZHRP		BACTEC 460 	13/18	1/0	C2431T (rpoB)
+PZA	pncA	Lemaitre N AAC 1999	181	ACA/CCA	61	Thr/Pro	1992		France	Sequencing	Whole gene	ZHRES	500ug/ml		19/35	1/0	
+PZA	pncA	Mestdagh M AAC 1999	185	CCG/CAG??	62	Pro/His 	1999	54 MDR mtb clinical strains	Azerbaijan	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Morlock GP AAC 2000	185	CCG/CGG	62	Pro/Arg	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	1/0	
+PZA	pncA	Chan RCY JAC 2007	186	CCG/CTG	62	Pro/Leu	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Hirano  TLD 1998	188	GAC/GGC	63	Asp/Gly	1997	168 mtb strain isolated in 9 Asian countries and Canada	Yemen	Sequencing	Whole gene	ZHRS	>800	Proportion method	33/168	1/0	
+PZA	pncA	Scorpio A Nature Med 1996	187	GAC/CAC	63	Asp/His		clinical isolates from L. Heifets, National Jewish Center for Immunology and Resp. Diseases	Colorado	Sequencing	Whole gene	MDR	>500ug/ml	PZase test with Wayne's method	4/7	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	190	TAT/GAT	64	Tyr/Asp	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lemaitre N AAC 1999	192	ins A	64	Frameshift	1996		France	Sequencing	Whole gene	ZSHE	1000ug/ml			1/0	
+PZA	pncA	Mestdagh M AAC 1999	195-263	del 68bp		Frameshift	1999	54 MDR mtb clinical strains	Azerbaijan	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Marttila HJ AAC 1999	196	TCG/CCG	66	Ser/Pro	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Hirano  TLD 1998	199	TCG/CCG	67	Ser/Pro	1997	168 mtb strain isolated in 9 Asian countries and Canada	Canada	Sequencing	Whole gene	ZHRSE	>800	Proportion method	33/168	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	202	TGG/CGG	68	Trp/Arg	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	202	TGG/GGG	68	Trp/Gly	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Cheng SJ AAC 2000	203	TGG/TCA	68	Trp/STOP			USA	Sequencing	Whole gene	Z	>900	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	203	TGG/TCG	68	Trp/Ser	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	203	TGG/TTG	68	Trp/Leu	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Scorpio A AAC 1997	206	CCA/CGA	69	Pro/Arg	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>300ug/ml	Pzase testing by Wayne's method	46/46	2/0	
+PZA	pncA	Hou L Epi Infect 2000	206	CCA/CGA	69	Pro/Arg	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRHSE	1200	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Lemaitre N AAC 1999	206	CCA/CTA 	69	Pro/Leu	1994		France	Sequencing	Whole gene	ZHR	(pH 5.6, 5.8) >2000/>2000		19/35	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	211	CAT/TAT	71	His/Tyr	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	212	CAT/GAT	71	His/Asp	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Morlock GP AAC 2000 	212	CAT/CGT	71	His/Arg	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	1/0	
+PZA	pncA	Cheng SJ AAC 2000	213	CAT/CAG	71	His/Glu			USA	Sequencing	Whole gene	ZHRS	>900	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Scorpio A AAC 1997	214	TGC/CGC	72	Cys/Arg	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	215	TGC/TAC	72	Cys/Tyr	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Sekiguchi JI JCM 2007	216	TGC/TGG	72	Cys/Trp	2006	TB patients in Japan and Poland	Japan	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0	
+PZA	pncA	Lemaitre N AAC 1999	215	ins 29bp		Frameshift	1986		France	Sequencing	Whole gene	ZHRS	>2000		19/35	1/0	
+PZA	pncA	Sekiguchi JI JCM 2007	218	ins CGCATTGCCG		Frameshift	2006	TB patients in Japan and Poland		Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0	
+PZA	pncA	Mestdagh M AAC 1999	221	ins G	74	Frameshift	1999	54 MDR mtb clinical strains	United Kingdom	Sequencing	Whole gene	Z		BACTEC 460 	23/62	2/0	
+PZA	pncA	Chan RC JAC 2007	224	ATG/ACG	75	Met/Thr	1994-2004	250 drug-res. Mtb from Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	ZORH	100ug/ml	BACTEC MGIT 960 	89/250	1/0	"Asp94Gly (gyrA); Ser531Leu(rpoB); Met306Val(embB); Ser315Thr(katG)"
+PZA	pncA	Sreevatsan S AAC 1997	226	ACT/CCT	76	Thr/Pro	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Brown TJ JMedMicro 2000	227	ACT/ATT	76	Thr/Ile	2000	"4 sensitive, 6 MDR from Turkey; 8 isolates from nosocomial MDR TB outbreak in UK "	United kindom, Turkey	Sequencing	Whole gene	ZHRP		BACTEC 460	13/18	8/0	C2431T (rpoB)
+PZA	pncA	Morlock GP AAC 2000	233	GGC/GAC	78	Gly/Asp	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	1/0	
+PZA	pncA	Chan RCY JAC 2007	236	GCG/GGG	79	Ala/Gly	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Brown TJ JMedMicro 2000	239	del A		Frameshift	2000	"4 sensitive, 6 MDR from Turkey; 8 isolates from nosocomial MDR TB outbreak in UK "	Turkey	Sequencing	Whole gene	Z		BACTEC 460 	13/18	1/0	C2431T (rpoB)
+PZA	pncA	Sachais BS MolDiag 1998	241	TTC/GTC	80	Phe/Val	1993-1999	clinical isolates from Microbio. Lab of Hospital of Univ. of Penn. & Episcopal Hosp. in PA	USA	Sequencing	Whole gene	Z		BACTEC at pH 6.4	2/12	1/0	
+PZA	pncA	Brown TJ JMedMicro 2000	244	CAT/TAT	82	His/Tyr	2000	"4 sensitive, 6 MDR from Turkey; 8 isolates from nosocomial MDR TB outbreak in UK "	Turkey	Sequencing	Whole gene	ZHRP		BACTEC 460 	13/18	1/0	A2386T (rpoB)
+PZA	pncA	Cheng SJ AAC 2000	245	CAT/CGT	82	His/Arg			USA	Sequencing	Whole gene	ZHRES	300	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Rodrigues V de F AAC 2005	246	CAT/CTT	82	His/Leu	1998-2003	Selected according to culture availability in health centers in Brazl	Brazil	Sequencing	Whole gene	Z		Proportion method	59	40	
+PZA	pncA	Mestdagh M AAC 1999	254	CTG/CGG	85	Leu/Arg	1999	54 MDR mtb clinical strains	Azerbaijan	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Scorpio A AAC 1997	254	CTG/CCG	85	Leu/Pro	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	3/0	
+PZA	pncA	Lemaitre N AAC 1999	260	ACG/ATG	87	Thr/Met	1987		France	Sequencing	Whole gene	ZHRES	1000-1500		19/35	1/0	
+PZA	pncA	Hou L Epi Infect 2000	263	TCG/TAG	88	Ser/STOP	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZHRES	>2000	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Hannan MM JCM 2001	269	ATC/AGC	90	Ile/Ser	1996-1999	isolates from 5 counties in California	USA	Sequencing	Whole gene	Z		BACTEC radiometric testing	3/11	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	269	ATC/AGC	90	Ile/Ser	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Sreevatsan S AAC 1997	280	TTC/CCC	94	Phe/Pro	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	2/0	T281C
+PZA	pncA	Lee KW J Korean Med Sci 2001	286	AAG/CAG	96	Lys/Gln	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Marttila HJ AAC 1999	286	AAG/GAG	96	Lys/Glu	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Scorpio A AAC 1997	287	AAG/ACG	96	Lys/Thr	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Hirano  TLD 1998	287	ins T		Frameshift	1997	168 mtb strain isolated in 9 Asian countries and Canada	Canada	Sequencing	Whole gene	ZHRS	>800	Proportion method	33/168	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	287	ins T		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Scorpio A AAC 1997	288	AAG/AAT	96	Lys/Asn	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Scorpio A Nature Med 1996	288	del G		Frameshift		clinical isolates from L. Heifets, National Jewish Center for Immunology and Resp. Diseases	USA	Sequencing	Whole gene	Z	>500ug/ml	PZase test with Wayne's method	4/7	1/0	
+PZA	pncA	Cheng SJ AAC 2000	289	GGT/AGT	97	Gly/Ser			USA	Sequencing	Whole gene	ZHRES	>900	Proportion method, BACTEC 460	59/59	2/0	
+PZA	pncA	Morlock GP AAC 2000	290	GGT/GAT	97	Gly/Asp	1999			Sequencing	Whole gene	Z	400	Proportion method	37/60	1/0	
+PZA	pncA	Hirano  TLD 1998	297	TAC/TAA	99	Tyr/STOP	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHRSE	>800	Proportion method	33/168	1/0	
+PZA	pncA	Morlock GP AAC 2000	297	TAC/TAG	99	Tyr/STOP	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	2/0	
+PZA	pncA	Cheng SJ AAC 2000	301	ins G		Frameshift			South korea	Sequencing	Whole gene	Z	>500	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Hou L Epi Infect 2000	301	ins A		Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZHRS	900	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Marttila HJ AAC 1999	304	GCG/ACG	102	Ala/Thr	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Marttila HJ AAC 1999	305	GCG/GTG	102	Ala/Val	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	2/0	not tested
+PZA	pncA	Lemaitre N AAC 1999	306	ins C		Frameshift	1989		France	Sequencing	Whole gene	ZHRES	500-1500		19/35	1/0	
+PZA	pncA	Mestdagh M AAC 1999	307	TAC/CAC	103	Tyr/His	1999	54 MDR mtb clinical strains	Canada	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	307	del TACAG		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	308	TAC/TCC	103	Tyr/Ser	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	2/0	
+PZA	pncA	Lemaitre N AAC 1999	308	TAC/TGC	103	Tyr/Cys	1994		France	Sequencing	Whole gene	ZHRE	1500			1/0	
+PZA	pncA	Marttila HJ AAC 1999	309	TAC/TAG	103	Tyr/STOP	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Morlock GP AAC 2000	309	TAC/TAA	103	Tyr/STOP	1999			Sequencing	Whole gene	Z	100	Proportion method	37/60	1/0	
+PZA	pncA	Scorpio A AAC 1997	312	del C	104	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Hirano  TLD 1998	312	AGC/AGG	104	Ser/Arg	1997	168 mtb strain isolated in 9 Asian countries and Canada	Yemen	Sequencing	Whole gene	ZHRSE	>800	Middlebrook 7H11 agar w/ pH of 6.0	33/168	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	319	GAA/AAA	107	Gly/Lys	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Hirano  TLD 1998	340	ACG/CCG	114	Thr/Pro	1997	168 mtb strain isolated in 9 Asian countries and Canada	Yemen	Sequencing	Whole gene	ZHR	>800	Middlebrook 7H11 agar w/ pH of 6.0	33/168	1/0	
+PZA	pncA	Cheng SJ AAC 2000	341	del C		Frameshift			South korea	Sequencing	Whole gene	Z	>500	Proportion method, BACTEC 460	59/59	1/0?	
+PZA	pncA	Lemaitre N AAC 1999	341	ins 1355bp			1989		France	Sequencing	Whole gene	ZHRE	1000		19/35	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	346	CTG/GTG	116	Leu/Val	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Marttila HJ AAC 1999	347	CTG/CGG	116	Leu/Arg	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Hou L Epi Infect 2000	353	AAT/ACT	118	Asn/Thr	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZHRS	1000	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	353	TGG/CGG	119	Trp/Arg	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	357	TGG/TGA	119	Trp/STOP	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Portugal I AAC 2004	359	CTG/CCG	120	Leu/Pro	2000-2001	several hospitals in Lisbon	Portugal	Sequencing	Whole gene	Z		BACTEC MGIT 960	55	55	
+PZA	pncA	Sreevatsan S AAC 1997	362	CGG/CCG	121	Arg/Pro	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Hou L Epi Infect 2000	368	ins AG		Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRHSE	1000	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	368	ins 18bp		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Marttila HJ AAC 1999	374	GTC/GAC	125	Val/Asp	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Marttila HJ AAC 1999	379-389	del 11bp		Frameshift	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Lee KW J Korean Med Sci 2001	381	del GG		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	382	ins AG		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Rodrigues V de F AAC 2005	384	GTC/GGC	128	Val/Gly	1998-2003	Selected according to culture availability in health centers in Brazl	Brazil	Sequencing	Whole gene	Z		Proportion method and Pzase test	59	40	
+PZA	pncA	Lee KW J Korean Med Sci 2001	386-389	del ATGT		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Morlock GP AAC 2000	388	ins GAGGTCGAT		ins Glu Val Asp	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	388	ins AGGTCGATG		Ins Arg Ser Met	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	4/0	
+PZA	pncA	Hirano  TLD 1998	389	GTG/GGG	130	Val/Gly	1997	168 mtb strain isolated in 9 Asian countries and Canada	Canada	Sequencing	Whole gene	ZHRSE	>800	Middlebrook 7H11 agar w/ pH of 6.0	33/168	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	391	ins GG		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lemaitre N AAC 1999	391	ins GG		Frameshift	1988		France	Sequencing	Whole gene	ZHRES	500-1000		19/35	1/0	
+PZA	pncA	Scorpio A AAC 1997	391	del G		Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	392	ins G		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Hirano  TLD 1998	395	GGT/GAT	132	Gly/Asp	1997	168 mtb strain isolated in 9 Asian countries and Canada	Myanmar	Sequencing	Whole gene	Z	>800	Proportion method	33/168	1/0	
+PZA	pncA	Scorpio A AAC 1997	394	GGT/AGT	132	Gly/Ser	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	2/0	
+PZA	pncA	Hirano  TLD 1998	395-411 del	del 16bp		Frameshift	1997	168 mtb strain isolated in 9 Asian countries and Canada	India	Sequencing	Whole gene	ZR	>800	Proportion method	33/168	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	397	ins T		Frameshift	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Marttila HJ AAC 1999	398	ATT/ACT	133	Ile/Thr	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Morlock GP AAC 2000	398	ATT/AAT	133	Ile/Asn	1999			Sequencing	Whole gene	Z	800	Proportion method	37/60	1/0	
+PZA	pncA	Escalante P TuberLung Dis 1998	401	GCC/GTC	134	Ala/Val	1995-1996	patients w/ pulmonary TB	Peru	Sequencing	Whole gene	ZHRP		Proportion method	11/29	1/0	"katG, 315, AGC/ACC; rpoB, 531, TCG/TTG; "
+PZA	pncA	Morlock GP AAC 2000	403	ACC/CCC	135	Thr/Pro	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	1/0	
+PZA	pncA	Hou L Epi Infect 2000	403	ins CC		Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRE	1000	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	403	ins C		Frameshift	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	406	GAT/TAT	136	Asp/Tyr	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	2/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	406	GAT/AAT	136	Asp/Asn	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Mestdagh M AAC 1999	406	GAT/CAT	136	Asp/His	1999	54 MDR mtb clinical strains	Scotland	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	406	del G		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	407	GAT/GGT	136	Asp/Gly	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Mestdagh M AAC 1999	407-408	ins C		Frameshift	1999	54 MDR mtb clinical strains	Azerbaijan	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Scorpio A AAC 1997	410	CAT/CCT	137	His/Pro	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	410	CAT/CGT	137	His/Arg	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	2/0	
+PZA	pncA	Cheng SJ AAC 2000	413	TGT/TCT	138	Cys/Ser			South korea	Sequencing	Whole gene	Z	>500	Proportion method, BACTEC 460	59/59	1/0?	
+PZA	pncA	Scorpio A Nature Med 1996	413	TGT/TAT	138	Cys/Tyr		clinical isolates from L. Heifets, National Jewish Center for Immunology and Resp. Diseases	Colorado	Sequencing	Whole gene	MDR	>500ug/ml	Pzase testing by Wayne's method	4/7	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	414	ins G		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Cheng SJ AAC 2000	415	GTG/ATG	139	Val/Met			South korea	Sequencing	Whole gene	Z	>500	Proportion method, BACTEC 460	59/59	1/0?	
+PZA	pncA	Morlock GP AAC 2000	415	GTG/CTG	139	Val/Leu	1999			Sequencing	Whole gene	Z	100	Proportion method	37/60	1/0	
+PZA	pncA	Morlock GP AAC 2000	416	GTG/GGG	139	Val/Gly	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	416	GTG/GCG	139	Val/Ala	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Scorpio A AAC 1997	416	del TG		Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Cheng SJ AAC 2000	418	CGC/AGC	140	Arg/Ser				Sequencing	Whole gene	Z		Proportion method, BACTEC 460	59/59	20/0	
+PZA	pncA	Lemaitre N AAC 1999	419	del 68bp		Frameshift	1992		France	Sequencing	Whole gene	ZHRE	1000		19/35	1/0	
+PZA	pncA	Cheng SJ AAC 2000	420	ins G		Frameshift			USA	Sequencing	Whole gene	ZR	>900	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Cheng SJ AAC 2000	420	ins GG		Frameshift			USA	Sequencing	Whole gene	ZHRSO	>900	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	421	CAG/TAG	141	Gln/STOP	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Scorpio A Nature Med 1996	422	CAG/CCG	141	Gln/Pro		clinical isolates from L. Heifets, National Jewish Center for Immunology and Resp. Diseases	USA	Sequencing	Whole gene	MDR	>500ug/ml	Pzase testing by Wayne's method	invitro	1/0	
+PZA	pncA	Escalante P TuberLung Dis 1998	424	ACG/CCG	142	Thr/Pro	1995, 1996	patients w/ pulmonary TB	Peru	Sequencing	Whole gene	MDR		Proportion method	11/29	1/0	rpoB, 516, GAC/TAC
+PZA	pncA	Hirano  TLD 1998	424	ACG/GCG	142	Thr/Ala	1997	168 mtb strain isolated in 9 Asian countries and Canada	Myanmar	Sequencing	Whole gene	ZHRSE	>800	Middlebrook 7H11 agar w/ pH of 6.0	33/168	1/0	
+PZA	pncA	Scorpio A AAC 1997	425	ACG/AAG	142	Thr/Lys	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Scorpio A AAC 1997	425	ACG/ATG	142	Thr/Met	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Cheng SJ AAC 2000	428	ins GG		Frameshift			South korea	Sequencing	Whole gene	Z	>100	Proportion method, BACTEC 460	59/59	1/0?	
+PZA	pncA	Lee KW J Korean Med Sci 2001	436	GCG/ACG	146	Ala/Thr	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lemaitre N AAC 1999	436	del G		Frameshift	1987		France	Sequencing	Whole gene	ZHRE	1000-1500		19/35	1/0	
+PZA	pncA	Hirano  TLD 1998	437	GCG/GTG	146	Ala/Val	1997	168 mtb strain isolated in 9 Asian countries and Canada	India	Sequencing	Whole gene	ZRS	>800	Proportion method	33/168	1/0	
+PZA	pncA	Sekiguchi JI JCM 2007	442	CGC/AGC	148	Arg/Ser	2006	TB patients in Japan and Poland	Poland	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0	
+PZA	pncA	Brown TJ JMedMicro 2000	442	C/A	148	Arg/Ser	2000	"4 sensitive, 6 MDR from Turkey; 8 isolates from nosocomial MDR TB outbreak in UK "	Turkey	Sequencing	Whole gene	ZHRP		BACTEC 460 	13/18	1/0	C2431G(rpoB)
+PZA	pncA	Scorpio A AAC 1997	443	del G		Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Cheng SJ AAC 2000	446	del 8bp		Frameshift	1990-1992	Canadians	Canada	Sequencing	Whole gene	ZHRE	>300	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Scorpio A AAC 1997	446	ins 8bp		Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	452	del T		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Morlock GP AAC 2000	458	ACC/AAC	153	Thr/Asn	1999			Sequencing	Whole gene	Z	800	Proportion method	37/60	1/0	
+PZA	pncA	Marttila HJ AAC 1999	460	AGG/GGG	154	Arg/Gly	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Lemaitre N AAC 1999	464	GTG/GGG	155	Val/Gly	1987		France	Sequencing	Whole gene	ZHRE	1500		19/35	1/0	
+PZA	pncA	Escalante P TuberLung Dis 1998	464	GTG/GCG	155	Val/Ala	1995, 1996	patients w/ pulmonary TB	Peru	Sequencing	Whole gene	ZHRES		Proportion method	11/29	1/0	"katG, 315, AGC/ACC; rpoB, 531, TCG/TTG; "
+PZA	pncA	Lee KW J Korean Med Sci 2001	465	ins T		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	2/0	
+PZA	pncA	Scorpio A AAC 1997	475	del C		Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	476	CTG/CCG	159	Leu/Pro	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Lee KW J Korean Med Sci 2001	476	CTG/CGG	159	Leu/Arg	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Marttila HJ AAC 1999	478	ACA/CCA	160	Thr/Pro	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	2/0	not tested
+PZA	pncA	Lee KW J Korean Med Sci 2001	480	ins TGAC		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Marttila HJ AAC 1999	481	GCG/CCG	161	Ala/Pro	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	2/0	not tested
+PZA	pncA	Chan RC JAC 2007	485	GGT/GAT	162	Gly/Asp	1994-2004	250 drug-res. Mtb from Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	ZOREth	100mg/L	BACTEC MGIT 960	89/250	1/0	"Asp94Gly (gyrA); Ser531Leu(rpoB); Met306Val(embB)"
+PZA	pncA	Hou L Epi Infect 2000	501	ins CG		Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZSHE	900	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Cheng SJ AAC 2000	503	ACC/AAC	168	Thr/Asn			Canada	Sequencing	Whole gene	ZRO	300	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Mestdagh M AAC 1999	511	GCG/ACG	171	Ala/Thr	1999	54 MDR mtb clinical strains	Bangladesh	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Sachais BS MolDiag 1998	511	GCG/CCG	171	Ala/Pro	1993-1999	clinical isolates from Microbio. Lab of Hospital of Univ. of Penn. & Episcopal Hosp. in PA	USA	Sequencing	Whole gene	Z		BACTEC at pH 6.4	2/12	1/0	
+PZA	pncA	Mestdagh M AAC 1999	512	GCG/GTG	171	Ala/Val	1999	54 MDR mtb clinical strains	Scotland	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Rodrigues V de F AAC 2005	512	GCG/GAG	171	Ala/Glu	1998-2003	Selected according to culture availability in health centers in Brazl	Brazil	Sequencing	Whole gene	Z		Proportion method	59	40	
+PZA	pncA	Mestdagh M AAC 1999	512	del C		Frameshift	1999	54 MDR mtb clinical strains	Rwanda	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Hirano  TLD 1998	515	CTG/CCG	172	Leu/Pro	1997	168 mtb strain isolated in 9 Asian countries and Canada	Canada	Sequencing	Whole gene	ZHRSE	>800	Proportion method	33/168	1/0	
+PZA	pncA	Mestdagh M AAC 1999	514-515	CTG/GCG	172	Leu/Ala	1999	54 MDR mtb clinical strains	Belgium	Sequencing	Whole gene	Z		BACTEC 460 	23/62	2/0	
+PZA	pncA	Scorpio A AAC 1997	518	ins 5bp		Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Sekiguchi JI JCM 2007	523	ATG/GTG	175	Met/Val	2006	TB patients in Japan and Poland	Japan	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	532	ins C		Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	535	AGC/CGC	179	Ser/Arg	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Lee KW J Korean Med Sci 2001	538	GTC/TTC	180	Val/Phe	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	543	GAG/GAT	181	Glu/Asp	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Lemaitre N AAC 1999	545	TTG/TCG	182	Leu/Ser	1997		France	Sequencing	Whole gene	ZHRS	500-2000ug/ml		19/35	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	554	AGC/ACC	185	Ser/Thr	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Chan RCY JAC 2007	554	AGC/ATC	185	Ser/Ile	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Marttila HJ AAC 1999	-12	T/G	-12		1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Scorpio A AAC 1997	-11	A/C	-11		1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	-11	A/G	-11		1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460 	67/118	2/0	
+PZA	pncA	Morlock GP AAC 2000	-7	T/C	-7		1999			Sequencing	Whole gene	Z	100	Proportion method	37/60	1/0	
+PZA	pncA	Hou L Epi Infect 2000	1	del 8bp	1	Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRHSE	>2000	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Scorpio A AAC 1997	1	del 11bp	1	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	2/0	
+PZA	pncA	Portugal I AAC 2004	2	ATG/ACG	1	Met/Thr	2000-2001	several hospitals in Lisbon	Portugal	Sequencing	Whole gene	Z		BACTEC MGIT 960	55	55	
+PZA	pncA	Lee KW J Korean Med Sci 2001	3	ATG/ATT	1	Met/Ile	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lemaitre N AAC 1999	7	GCG/CCG	3	Ala/Pro	1986		France	Sequencing	Whole gene	ZHR	1000			1/0	
+PZA	pncA	Sekiguchi JI JCM 2007	8	GCG/GAG	3	Ala/Glu	2006	TB patients in Japan and Poland	Japan	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	11	TTG/TGG	4	Leu/Trp	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Morlock GP AAC 2000	11	TTG/TCG	4	Leu/Ser	1999			Sequencing	Whole gene	Z	800	Proportion method	37/60	1/0	
+PZA	pncA	Scorpio A AAC 1997	14	ATC/AGC	5	Ile/Ser	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Escalante P TuberLung Dis 1998	19	GTC/ATC	7	Val/Ile	1995, 1996	patients w/ pulmonary TB	Peru	Sequencing	Whole gene	ZHRPES		Proportion method	40146	1/0	"katG, 315, AGC/ACC; rpoB, 531, TCG/TTG; "
+PZA	pncA	Escalante P TuberLung Dis 1998	19	GTC/TTC	7	Val/Phe	1995, 1996	patients w/ pulmonary TB	Peru	Sequencing	Whole gene	ZHRPS		Proportion method	40146	1/0	"katG, 315, AGC/ACC; rpoB, 531, TCG/TTG; embB, 328, GAT:A del"
+PZA	pncA	Hirano  K TLD 1997	20	GTC/GGC	7	Val/Gly	1997	168 mtb strain isolated in 9 Asian countries and Canada	Yemen	Sequencing	Whole gene	ZHRSE	>800	Proportion method	33/168	2/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	20	GTC/GAC	7	Val/Asp	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Marttila HJ AAC 1999	22	GAC/TAC	8	Asp/Tyr	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Lee KW J Korean Med Sci 2001	23	GAC/GGC	8	Asp/Gly	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Scorpio A AAC 1997	24	GAC/GAG	8	Asp/Glu	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	26	GTG/GCG	9	Val/Ala	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	26	GTG/GGG	9	Val/Gly	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	26	GTG/TTG	9	Val/Leu	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Chan RCY JAC 2007	27	GTG/TCG	9	Val/Ser	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Scorpio A AAC 1997	28	del C	10	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Marttila HJ AAC 1999	28	CAA/AAA	10	Gln/Lys	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Marttila HJ AAC 1999	28	CAA/TAA	10	Gln/STOP	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Cheng SJ AAC 2000	29	CAG/CGA	10	Gln/Arg	1990-1992		USA	Sequencing	Whole gene	ZHREO	>900	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Hirano  K TLD 1997	29	CAG/CCG	10	Gln/Pro	1997	168 mtb strain isolated in 9 Asian countries and Canada	Myanmar	Sequencing	Whole gene	ZHRSE	>800	Proportion method	33/168	1/0	
+PZA	pncA	Morlock GP AAC 2000	29	CAG/CCA	10	Gln/Pro	1999			Sequencing	Whole gene	Z	800	Proportion method	37/60	1/0	
+PZA	pncA	Scorpio A AAC 1997	34	GAC/AAC	12	Asp/Asn	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Scorpio A AAC 1997	35	GAC/GCC	12	Asp/Ala	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Lemaitre N AAC 1999	38	TTC/TCC 	13	Phe/Ser	1987		France	Sequencing	Whole gene	ZHRES	>2000		19/35	1/0	
+PZA	pncA	Scorpio A AAC 1997	40	TGC/CGC	14	Cys/Arg	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	40	TGC/CGC	14	Cys/His	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Lee KW J Korean Med Sci 2001	41	TGC/TAC	14	Cys/Tyr	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Chan RCY JAC 2007	47	del G	16	Frameshift	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Hirano  K TLD 1997	50	GGC/GAC	17	Gly/Asp	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHRS	>800	Proportion method	33/168	2/0	
+PZA	pncA	Chan RCY JAC 2007	50	GGC/GTC	17	Gly/Val	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Cheng SJ AAC 2000	52	ins GG	17	Frameshift			USA	Sequencing	Whole gene	ZHR	>900	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Chan RCY JAC 2007	56	CTG/CGG	19	Leu/Arg	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Sreevatsan S AAC 1997	56	CTG/CCG	19	Leu/Pro	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460 	67/118	1/0	
+PZA	pncA	Chan RCY JAC 2007	62	GTA/GGA	21	Val/Gly	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Chan RCY JAC 2007	64	del A	22	Frameshift	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP, Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Hou L Epi Infect 2000	59	del C	20	Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRSE	1800	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	68-69	GGT/GTC	23	Gly/Val	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	70	del G	24	Frameshift	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	7/0	
+PZA	pncA	Hou L Epi Infect 2000	71	del G	24	Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRH	600	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	74-75	GCC/GAA	25	Ala/Glu	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Scorpio A AAC 1997	77	GCG/GGG	26	Ala/Gly	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Marttila HJ AAC 1999	84	del C	28	Frameshift	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Lee KW J Korean Med Sci 2001	83	GCC/GAC	28	Ala/Asp	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Hannan MM JCM 2001	88-112	del 24bp	29	Frameshift	1996-1999	isolates from 5 counties in California	California, USA	Sequencing	Whole gene	Z		BACTEC radiometric testing	39883	1/0	
+PZA	pncA	Scorpio A AAC 1997	98-216	del 118bp	33	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Scorpio A AAC 1997	100	ins T	34	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Hirano  K TLD 1997	101	TAC/TCC	34	Tyr/Ser	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHRSE	>800	Proportion method	33/168	2/0	
+PZA	pncA	Stavrum R PlosOne 2009	104	CTG/CCG	35	Leu/Pro	Published 2009		India	Sequencing	Whole gene			N.S.		1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	104	CTG/CGG	35	Leu/Arg	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	109-110	GGA/TAA	37	Glu/STOP	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Morlock GP AAC 2000	106	del 5.3kb	35	Frameshift/Truncation	1999			Sequencing	Whole gene	Z	800	Proportion method	37/60	1/0	
+PZA	pncA	Hou L Epi Infect 2000	121	TAC/CAC	41	Tyr/His	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZHRE	600	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Hirano  K TLD 1997	123	TAC/TAA	41	Tyr/STOP	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHRSE	>800	Middlebrook 7H11 agar w/ pH of 6.0	33/168	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	123	TAC/TAG	41	Tyr/STOP	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Hirano  K TLD 1997	128	CAC/CCC	43	His/Pro	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHR	>800	Proportion method	33/168	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	134	GTG/GGG	45	Val/Gly	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Hirano  K TLD 1997	136	ins G	46	Frameshift	1997	168 mtb strain isolated in 9 Asian countries and Canada	Yemen	Sequencing	Whole gene	ZHE	>800	Proportion method	33/168	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	136	GCA/CCA	46	Ala/Pro	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Cheng SJ AAC 2000	137	GCA/GAA	46	Ala/Glu			South korea	Sequencing	Whole gene	Z	>500	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Cheng SJ AAC 2000	137	GCA/GTA	46	Ala/Val			South korea	Sequencing	Whole gene	Z	>500	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Hou L Epi Infect 2000	139	ACC/CCC	47	Thr/Pro	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRSE	1500	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Marttila HJ AAC 1999	139	ACC/TCC	47	Thr/Ser	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Sreevatsan S AAC 1997	139	ACC/GCC	47	Thr/Ala	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	11/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	145	GAC/CAC	49	Asp/His	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Lee KW J Korean Med Sci 2001	146	GAC/GCC	49	Asp/Ala	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Marttila HJ AAC 1999	146	GAC/GTC	49	Asp/Val	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Marttila HJ AAC 1999	146	GAC/GGC	49	Asp/Gly	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Rodrigues V de F AAC 2005	151	CAC/AAC	51	His/Asn	1998-2003	Selected according to culture availability in health centers in Brazl	Brazil	Sequencing	Whole gene	Z		Proportion method	59	40	
+PZA	pncA	Mestdagh M AAC 1999	151	CAC/TAC	51	His/Tyr	1999	54 MDR mtb clinical strains	Scotland	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	151-230	del 80bp	50	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South Korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Hirano  K TLD 1997	152	CAC/CCC	51	His/Pro	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHR	>800	Proportion method	33/168	1/0	
+PZA	pncA	Hirano  K TLD 1997	152	CAC/CGC	51	His/Arg	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHR	>800	Proportion method	33/168	1/0	
+PZA	pncA	Sekiguchi JI JCM 2007	153	CAC/CAG	51	His/Gln	2006	TB patients in Japan and Poland	Poland	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0	
+PZA	pncA	Sekiguchi JI JCM 2007	153	CAC/CAA	51	His/Gln	2006	TB patients in Japan and Poland	Japan	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	2/0	
+PZA	pncA	Sekiguchi JI JCM 2007	151	GAC/AAC	53	Asp/Asn	2006	TB patients in Japan and Poland	Japan	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0	
+PZA	pncA	Cheng SJ AAC 2000	158	GAC/GCC	53	Asp/Ala			South korea	Sequencing	Whole gene	Z	>100	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	158	del A	53	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South Korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	160	CCG/ACG	54	Pro/Thr	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	161	CCG/CTG	54	Pro/Leu	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Lee KW J Korean Med Sci 2001	161	del C	54	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South Korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Scorpio A AAC 1997	162	ins T	54	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Scorpio A Nature Med 1996	162	del G	54	Frameshift		clinical isolates from L. Heifets, National Jewish Center for Immunology and Resp. Diseases	USA	Sequencing	Whole gene	MDR	>500ug/ml	"7H9 liquid medium, pH5.6; PZase activity assayed according to Wayne's method "	39910	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	169	CAC/TAC	57	His/Tyr	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Sreevatsan S AAC 1997	169	CAC/GAC	57	His/Asp	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	2/0	
+PZA	pncA	Brown TJ JMedMicro 2000	170	CAC/CCC	57	His/Pro	2000	"4 sensitive, 6 MDR from Turkey; 8 isolates from nosocomial MDR TB outbreak in UK "	Turkey	Sequencing	Whole gene	ZHRP		"BACTEC radiometric-based culture method, standard protocol; and PZase activity"	13/18	1/0	A2416T (rpoB)
+PZA	pncA	Chan RCY JAC 2007	170	CAC/CTC	57	His/Leu	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	172	del T	58	Frameshift	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Escalante P TuberLung Dis 1998	172	TTC/CTC	58	Phe/Leu	1995-1996	patients w/ pulmonary TB	Peru	Sequencing	Whole gene	ZHR		Proportion method	40146	1/0	"katG, 315, AGC/ACC; rpoB, 526 cac/ctc; embB, 306, ATG/ATA "
+PZA	pncA	Hirano  K TLD 1997	174	TTC/TTG	58	Phe/Leu	1997	168 mtb strain isolated in 9 Asian countries and Canada	Canada	Sequencing	Whole gene	ZHRS	400	Proportion method	33/168	1/0	
+PZA	pncA	Brown TJ JMedMicro 2000	175	TCC/CCC	59	Ser/Pro	2000	"4 sensitive, 6 MDR from Turkey; 8 isolates from nosocomial MDR TB outbreak in UK "	Turkey	Sequencing	Whole gene	ZHRP		BACTEC 460 	13/18	1/0	C2431T (rpoB)
+PZA	pncA	Lemaitre N AAC 1999	181	ACA/CCA	61	Thr/Pro	1992		France	Sequencing	Whole gene	ZHRES	500ug/ml		19/35	1/0	
+PZA	pncA	Mestdagh M AAC 1999	185	CCG/CAG??	62	Pro/His 	1999	54 MDR mtb clinical strains	Azerbaijan	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Morlock GP AAC 2000	185	CCG/CGG	62	Pro/Arg	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	1/0	
+PZA	pncA	Chan RCY JAC 2007	186	CCG/CTG	62	Pro/Leu	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Hirano  K TLD 1997	188	GAC/GGC	63	Asp/Gly	1997	168 mtb strain isolated in 9 Asian countries and Canada	Yemen	Sequencing	Whole gene	ZHRS	>800	Proportion method	33/168	1/0	
+PZA	pncA	Scorpio A Nature Med 1996	187	GAC/CAC	63	Asp/His		clinical isolates from L. Heifets, National Jewish Center for Immunology and Resp. Diseases	USA (Colorado)	Sequencing	Whole gene	MDR	>500ug/ml	PZase test with Wayne's method	39910	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	190	TAT/GAT	64	Tyr/Asp	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lemaitre N AAC 1999	192	ins A	64	Frameshift	1996		France	Sequencing	Whole gene	ZSHE	1000ug/ml			1/0	
+PZA	pncA	Mestdagh M AAC 1999	195-263	del 68bp	65	Frameshift	1999	54 MDR mtb clinical strains	Azerbaijan	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Marttila HJ AAC 1999	196	TCG/CCG	66	Ser/Pro	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Hirano  K TLD 1997	199	TCG/CCG	67	Ser/Pro	1997	168 mtb strain isolated in 9 Asian countries and Canada	Canada	Sequencing	Whole gene	ZHRSE	>800	Proportion method	33/168	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	202	TGG/CGG	68	Trp/Arg	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	202	TGG/GGG	68	Trp/Gly	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Cheng SJ AAC 2000	203	TGG/TCA	68	Trp/STOP			USA	Sequencing	Whole gene	Z	>900	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	203	TGG/TCG	68	Trp/Ser	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	203	TGG/TTG	68	Trp/Leu	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Scorpio A AAC 1997	206	CCA/CGA	69	Pro/Arg	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>300ug/ml	Pzase testing by Wayne's method	46/46	2/0	
+PZA	pncA	Hou L Epi Infect 2000	206	CCA/CGA	69	Pro/Arg	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRHSE	1200	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Lemaitre N AAC 1999	206	CCA/CTA 	69	Pro/Leu	1994		France	Sequencing	Whole gene	ZHR	(pH 5.6, 5.8) >2000/>2000		19/35	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	211	CAT/TAT	71	His/Tyr	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	212	CAT/GAT	71	His/Asp	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Morlock GP AAC 2000 	212	CAT/CGT	71	His/Arg	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	1/0	
+PZA	pncA	Cheng SJ AAC 2000	213	CAT/CAG	71	His/Glu			USA	Sequencing	Whole gene	ZHRS	>900	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Scorpio A AAC 1997	214	TGC/CGC	72	Cys/Arg	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	215	TGC/TAC	72	Cys/Tyr	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Sekiguchi JI JCM 2007	216	TGC/TGG	72	Cys/Trp	2006	TB patients in Japan and Poland	Japan	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0	
+PZA	pncA	Lemaitre N AAC 1999	215	ins 29bp	72	Frameshift	1986		France	Sequencing	Whole gene	ZHRS	>2000		19/35	1/0	
+PZA	pncA	Sekiguchi JI JCM 2007	218	ins CGCATTGCCG	73	Frameshift	2006	TB patients in Japan and Poland		Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0	
+PZA	pncA	Mestdagh M AAC 1999	221	ins G	74	Frameshift	1999	54 MDR mtb clinical strains	United Kingdom	Sequencing	Whole gene	Z		BACTEC 460 	23/62	2/0	
+PZA	pncA	Chan RCY JAC 2007	224	ATG/ACG	75	Met/Thr	1994-2004	250 drug-res. Mtb from Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	ZORH	100ug/ml	BACTEC MGIT 960 	89/250	1/0	"Asp94Gly (gyrA); Ser531Leu(rpoB); Met306Val(embB); Ser315Thr(katG)"
+PZA	pncA	Sreevatsan S AAC 1997	226	ACT/CCT	76	Thr/Pro	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Brown TJ JMedMicro 2000	227	ACT/ATT	76	Thr/Ile	2000	"4 sensitive, 6 MDR from Turkey; 8 isolates from nosocomial MDR TB outbreak in UK "	United Kindom, Turkey	Sequencing	Whole gene	ZHRP		BACTEC 460	13/18	8/0	C2431T (rpoB)
+PZA	pncA	Morlock GP AAC 2000	233	GGC/GAC	78	Gly/Asp	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	1/0	
+PZA	pncA	Chan RCY JAC 2007	236	GCG/GGG	79	Ala/Gly	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89	
+PZA	pncA	Brown TJ JMedMicro 2000	239	del A	80	Frameshift	2000	"4 sensitive, 6 MDR from Turkey; 8 isolates from nosocomial MDR TB outbreak in UK "	Turkey	Sequencing	Whole gene	Z		BACTEC 460 	13/18	1/0	C2431T (rpoB)
+PZA	pncA	Sachais BS MolDiag 1998	241	TTC/GTC	80	Phe/Val	1993-1999	clinical isolates from Microbio. Lab of Hospital of Univ. of Penn. & Episcopal Hosp. in PA	USA	Sequencing	Whole gene	Z		BACTEC at pH 6.4	39856	1/0	
+PZA	pncA	Brown TJ JMedMicro 2000	244	CAT/TAT Error? This makes Tyr not Asp.	82	His/Asp	2000	"4 sensitive, 6 MDR from Turkey; 8 isolates from nosocomial MDR TB outbreak in UK "	Turkey	Sequencing	Whole gene	ZHRP		BACTEC 460 	13/18	1/0	A2386T (rpoB)
+PZA	pncA	Cheng SJ AAC 2000	245	CAT/CGT	82	His/Arg			USA	Sequencing	Whole gene	ZHRES	300	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Rodrigues V de F AAC 2005	246	CAT/CTT	82	His/Leu	1998-2003	Selected according to culture availability in health centers in Brazl	Brazil	Sequencing	Whole gene	Z		Proportion method	59	40	
+PZA	pncA	Peridgao J MDR 2008	250	ins C		Frameshift	2003	National Institute of Health, Lisbon	Portugal	Sequencing	Whole gene	ZHRS		MGIT 960	48/58	3/0	
+PZA	pncA	Mestdagh M AAC 1999	254	CTG/CGG	85	Leu/Arg	1999	54 MDR mtb clinical strains	Azerbaijan	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Scorpio A AAC 1997	254	CTG/CCG	85	Leu/Pro	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	3/0	
+PZA	pncA	Lemaitre N AAC 1999	260	ACG/ATG	87	Thr/Met	1987		France	Sequencing	Whole gene	ZHRES	1000-1500		19/35	1/0	
+PZA	pncA	Hou L Epi Infect 2000	263	TCG/TAG	88	Ser/STOP	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZHRES	>2000	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Hannan MM JCM 2001	269	ATC/AGC	90	Ile/Ser	1996-1999	isolates from 5 counties in California	USA	Sequencing	Whole gene	Z		BACTEC radiometric testing	39883	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	269	ATC/AGC	90	Ile/Ser	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Sreevatsan S AAC 1997	280	TTC/CCC	94	Phe/Pro	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	2/0	T281C
+PZA	pncA	Peridgao J MDR 2008	282	ins T		Frameshift	2003	National Institute of Health, Lisbon	Portugal	Sequencing	Whole gene	ZHRS		MGIT 960	48/58	1/0	
+PZA	pncA	Peridgao J MDR 2008	285	TAC/TAA	95	Tyr/STOP	2003	National Institute of Health, Lisbon	Portugal	Sequencing	Whole gene	ZHRS		MGIT 960	48/58	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	286	AAG/CAG	96	Lys/Gln	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Marttila HJ AAC 1999	286	AAG/GAG	96	Lys/Glu	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Scorpio A AAC 1997	287	AAG/ACG	96	Lys/Thr	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Hirano  K TLD 1997	287	ins T	96	Frameshift	1997	168 mtb strain isolated in 9 Asian countries and Canada	Canada	Sequencing	Whole gene	ZHRS	>800	Proportion method	33/168	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	287	ins T	96	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Scorpio A AAC 1997	288	AAG/AAT	96	Lys/Asn	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Scorpio A Nature Med 1996	288	del G	96	Frameshift		clinical isolates from L. Heifets, National Jewish Center for Immunology and Resp. Diseases	USA	Sequencing	Whole gene	Z	>500ug/ml	PZase test with Wayne's method	39910	1/0	
+PZA	pncA	Cheng SJ AAC 2000	289	GGT/AGT	97	Gly/Ser			USA	Sequencing	Whole gene	ZHRES	>900	Proportion method, BACTEC 460	59/59	2/0	
+PZA	pncA	Morlock GP AAC 2000	290	GGT/GAT	97	Gly/Asp	1999			Sequencing	Whole gene	Z	400	Proportion method	37/60	1/0	
+PZA	pncA	Hirano  K TLD 1997	297	TAC/TAA	99	Tyr/STOP	1997	168 mtb strain isolated in 9 Asian countries and Canada	Thailand	Sequencing	Whole gene	ZHRSE	>800	Proportion method	33/168	1/0	
+PZA	pncA	Morlock GP AAC 2000	297	TAC/TAG	99	Tyr/STOP	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	2/0	
+PZA	pncA	Cheng SJ AAC 2000	301	ins G	100	Frameshift			South korea	Sequencing	Whole gene	Z	>500	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Hou L Epi Infect 2000	301	ins A	100	Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZHRS	900	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Marttila HJ AAC 1999	304	GCG/ACG	102	Ala/Thr	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Marttila HJ AAC 1999	305	GCG/GTG	102	Ala/Val	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	2/0	not tested
+PZA	pncA	Lemaitre N AAC 1999	306	ins C	102	Frameshift	1989		France	Sequencing	Whole gene	ZHRES	500-1500		19/35	1/0	
+PZA	pncA	Mestdagh M AAC 1999	307	TAC/CAC	103	Tyr/His	1999	54 MDR mtb clinical strains	Canada	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	307	del TACAG	102	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South Korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	308	TAC/TCC	103	Tyr/Ser	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	2/0	
+PZA	pncA	Lemaitre N AAC 1999	308	TAC/TGC	103	Tyr/Cys	1994		France	Sequencing	Whole gene	ZHRE	1500			1/0	
+PZA	pncA	Marttila HJ AAC 1999	309	TAC/TAG	103	Tyr/STOP	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Morlock GP AAC 2000	309	TAC/TAA	103	Tyr/STOP	1999			Sequencing	Whole gene	Z	100	Proportion method	37/60	1/0	
+PZA	pncA	Scorpio A AAC 1997	312	del C	104	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Hirano  K TLD 1997	312	AGC/AGG	104	Ser/Arg	1997	168 mtb strain isolated in 9 Asian countries and Canada	Yemen	Sequencing	Whole gene	ZHRSE	>800	Middlebrook 7H11 agar w/ pH of 6.0	33/168	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	319	GAA/AAA	107	Gly/Lys	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Hirano  K TLD 1997	340	ACG/CCG	114	Thr/Pro	1997	168 mtb strain isolated in 9 Asian countries and Canada	Yemen	Sequencing	Whole gene	ZHR	>800	Middlebrook 7H11 agar w/ pH of 6.0	33/168	1/0	
+PZA	pncA	Cheng SJ AAC 2000	341	del C	114	Frameshift			South Korea	Sequencing	Whole gene	Z	>500	Proportion method, BACTEC 460	59/59	1/0?	
+PZA	pncA	Lemaitre N AAC 1999	341	ins 1355bp	114	Frameshift	1989		France	Sequencing	Whole gene	ZHRE	1000		19/35	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	346	CTG/GTG	116	Leu/Val	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Marttila HJ AAC 1999	347	CTG/CGG	116	Leu/Arg	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Hou L Epi Infect 2000	353	AAT/ACT	118	Asn/Thr	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZHRS	1000	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	355	TGG/CGG	119	Trp/Arg	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Stavrum R PlosOne 2009	357	TGG/TGC	119	Trp/Cys	Published 2009		India	Sequencing	Whole gene	RSHE	> 100 mg/L	Proportion method	13/39	(2/0)	"1) rpoB L511P; S531C; rpsL K42R; katG no mutation; inhA mutation present 2) rpoB L511P; S531C; rpsL K42R; katG mutation present; inhA mutation present"
+PZA	pncA	Lee KW J Korean Med Sci 2001	357	TGG/TGA	119	Trp/STOP	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Portugal I AAC 2004	359	CTG/CCG	120	Leu/Pro	2000-2001	several hospitals in Lisbon	Portugal	Sequencing	Whole gene	Z		BACTEC MGIT 960	55	55	
+PZA	pncA	Sreevatsan S AAC 1997	362	CGG/CCG	121	Arg/Pro	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Hou L Epi Infect 2000	368	ins AG	123	Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRHSE	1000	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	368	ins 18bp	123	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Marttila HJ AAC 1999	374	GTC/GAC	125	Val/Asp	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Peridgao J MDR 2008	374	GTC/GGC	125	Val/Gly	2003	National Institute of Health, Lisbon	Portugal	Sequencing	Whole gene	ZHRS		MGIT 960	48/58	19/0	
+PZA	pncA	Marttila HJ AAC 1999	379-389	del 11bp	126	Frameshift	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Lee KW J Korean Med Sci 2001	381	del GG	127	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South Korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Peridgao J MDR 2008	381	del 9bp	127	Frameshift	2003	National Institute of Health, Lisbon	Portugal	Sequencing	Whole gene	ZHRS		MGIT 960	48/58	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	382	ins AG	127	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Rodrigues V de F AAC 2005	384	GTC/GGC	128	Val/Gly	1998-2003	Selected according to culture availability in health centers in Brazl	Brazil	Sequencing	Whole gene	Z		Proportion method and Pzase test	59	40	
+PZA	pncA	Lee KW J Korean Med Sci 2001	386-389	del ATGT	129	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South Korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Morlock GP AAC 2000	388	ins GAGGTCGAT	129	ins Glu Val Asp	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	388	ins AGGTCGATG	129	Ins Arg Ser Met	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	4/0	
+PZA	pncA	Hirano  K TLD 1997	389	GTG/GGG	130	Val/Gly	1997	168 mtb strain isolated in 9 Asian countries and Canada	Canada	Sequencing	Whole gene	ZHRSE	>800	Middlebrook 7H11 agar w/ pH of 6.0	33/168	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	391	ins GG	130	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lemaitre N AAC 1999	391	ins GG	130	Frameshift	1988		France	Sequencing	Whole gene	ZHRES	500-1000		19/35	1/0	
+PZA	pncA	Scorpio A AAC 1997	391	del G	130	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	392	ins G	131	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Hirano  K TLD 1997	395	GGT/GAT	132	Gly/Asp	1997	168 mtb strain isolated in 9 Asian countries and Canada	Myanmar	Sequencing	Whole gene	Z	>800	Proportion method	33/168	1/0	
+PZA	pncA	Scorpio A AAC 1997	394	GGT/AGT	132	Gly/Ser	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	2/0	
+PZA	pncA	Hirano  K TLD 1997	395-411 del	del 16bp	132	Frameshift	1997	168 mtb strain isolated in 9 Asian countries and Canada	India	Sequencing	Whole gene	ZR	>800	Proportion method	33/168	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	397	ins T	132	Frameshift	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Marttila HJ AAC 1999	398	ATT/ACT	133	Ile/Thr	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Morlock GP AAC 2000	398	ATT/AAT	133	Ile/Asn	1999			Sequencing	Whole gene	Z	800	Proportion method	37/60	1/0	
+PZA	pncA	Escalante P TuberLung Dis 1998	401	GCC/GTC	134	Ala/Val	1995-1996	patients w/ pulmonary TB	Peru	Sequencing	Whole gene	ZHRP		Proportion method	40146	1/0	"katG, 315, AGC/ACC; rpoB, 531, TCG/TTG; "
+PZA	pncA	Morlock GP AAC 2000	403	ACC/CCC	135	Thr/Pro	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	1/0	
+PZA	pncA	Hou L Epi Infect 2000	403	ins CC	134	Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZRE	1000	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	403	ins C	134	Frameshift	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	406	GAT/TAT	136	Asp/Tyr	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	2/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	406	GAT/AAT	136	Asp/Asn	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Mestdagh M AAC 1999	406	GAT/CAT	136	Asp/His	1999	54 MDR mtb clinical strains	Scotland	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	406	del G	135	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South Korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	407	GAT/GGT	136	Asp/Gly	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Mestdagh M AAC 1999	407-408	ins C	136	Frameshift	1999	54 MDR mtb clinical strains	Azerbaijan	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Scorpio A AAC 1997	410	CAT/CCT	137	His/Pro	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	410	CAT/CGT	137	His/Arg	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	2/0	
+PZA	pncA	Cheng SJ AAC 2000	413	TGT/TCT	138	Cys/Ser			South korea	Sequencing	Whole gene	Z	>500	Proportion method, BACTEC 460	59/59	1/0?	
+PZA	pncA	Scorpio A Nature Med 1996	413	TGT/TAT	138	Cys/Tyr		clinical isolates from L. Heifets, National Jewish Center for Immunology and Resp. Diseases	USA (Colorado)	Sequencing	Whole gene	MDR	>500ug/ml	Pzase testing by Wayne's method	39910	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	414	ins G	138	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Cheng SJ AAC 2000	415	GTG/ATG	139	Val/Met			South korea	Sequencing	Whole gene	Z	>500	Proportion method, BACTEC 460	59/59	1/0?	
+PZA	pncA	Morlock GP AAC 2000	415	GTG/CTG	139	Val/Leu	1999			Sequencing	Whole gene	Z	100	Proportion method	37/60	1/0	
+PZA	pncA	Morlock GP AAC 2000	416	GTG/GGG	139	Val/Gly	1999			Sequencing	Whole gene	Z	>800	Proportion method	37/60	1/0	
+PZA	pncA	Sreevatsan S AAC 1997	416	GTG/GCG	139	Val/Ala	1996		Diverse geographical locations	Sequencing	Whole gene	Z		BACTEC 460	67/118	1/0	
+PZA	pncA	Scorpio A AAC 1997	416	del TG	139	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Cheng SJ AAC 2000	418	CGC/AGC	140	Arg/Ser				Sequencing	Whole gene	Z		Proportion method, BACTEC 460	59/59	20/0	
+PZA	pncA	Lemaitre N AAC 1999	419	del 68bp	140	Frameshift	1992		France	Sequencing	Whole gene	ZHRE	1000		19/35	1/0	
+PZA	pncA	Cheng SJ AAC 2000	420	ins G	140	Frameshift			USA	Sequencing	Whole gene	ZR	>900	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Cheng SJ AAC 2000	420	ins GG	140	Frameshift			USA	Sequencing	Whole gene	ZHRSO	>900	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	421	CAG/TAG	141	Gln/STOP	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Scorpio A Nature Med 1996	422	CAG/CCG	141	Gln/Pro		clinical isolates from L. Heifets, National Jewish Center for Immunology and Resp. Diseases	USA	Sequencing	Whole gene	MDR	>500ug/ml	Pzase testing by Wayne's method	invitro	1/0	
+PZA	pncA	Escalante P TuberLung Dis 1998	424	ACG/CCG	142	Thr/Pro	1995, 1996	patients w/ pulmonary TB	Peru	Sequencing	Whole gene	MDR		Proportion method	40146	1/0	rpoB, 516, GAC/TAC
+PZA	pncA	Hirano  K TLD 1997	424	ACG/GCG	142	Thr/Ala	1997	168 mtb strain isolated in 9 Asian countries and Canada	Myanmar	Sequencing	Whole gene	ZHRSE	>800	Middlebrook 7H11 agar w/ pH of 6.0	33/168	1/0	
+PZA	pncA	Scorpio A AAC 1997	425	ACG/AAG	142	Thr/Lys	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Scorpio A AAC 1997	425	ACG/ATG	142	Thr/Met	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Cheng SJ AAC 2000	428	ins GG	143	Frameshift			South korea	Sequencing	Whole gene	Z	>100	Proportion method, BACTEC 460	59/59	1/0?	
+PZA	pncA	Lee KW J Korean Med Sci 2001	436	GCG/ACG	146	Ala/Thr	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Lemaitre N AAC 1999	436	del G	145	Frameshift	1987		France	Sequencing	Whole gene	ZHRE	1000-1500		19/35	1/0	
+PZA	pncA	Hirano  K TLD 1997	437	GCG/GTG	146	Ala/Val	1997	168 mtb strain isolated in 9 Asian countries and Canada	India	Sequencing	Whole gene	ZRS	>800	Proportion method	33/168	1/0	
+PZA	pncA	Peridgao J MDR 2008	439	ins CG	147	Frameshift	2003	National Institute of Health, Lisbon	Portugal	Sequencing	Whole gene	ZHRS		MGIT 960	48/58	1/0	
+PZA	pncA	Sekiguchi JI JCM 2007	442	CGC/AGC	148	Arg/Ser	2006	TB patients in Japan and Poland	Poland	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0	
+PZA	pncA	Brown TJ JMedMicro 2000	442	C/A	148	Arg/Ser	2000	"4 sensitive, 6 MDR from Turkey; 8 isolates from nosocomial MDR TB outbreak in UK "	Turkey	Sequencing	Whole gene	ZHRP		BACTEC 460 	13/18	1/0	C2431G(rpoB)
+PZA	pncA	Scorpio A AAC 1997	443	del G	148	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Cheng SJ AAC 2000	446	del 8bp	149	Frameshift	1990-1992	Canadians	Canada	Sequencing	Whole gene	ZHRE	>300	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Scorpio A AAC 1997	446	ins 8bp	149	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Lee KW J Korean Med Sci 2001	452	del T	151	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South Korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Morlock GP AAC 2000	458	ACC/AAC	153	Thr/Asn	1999			Sequencing	Whole gene	Z	800	Proportion method	37/60	1/0	
+PZA	pncA	Marttila HJ AAC 1999	460	AGG/GGG	154	Arg/Gly	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	1/0	not tested
+PZA	pncA	Lemaitre N AAC 1999	464	GTG/GGG	155	Val/Gly	1987		France	Sequencing	Whole gene	ZHRE	1500		19/35	1/0	
+PZA	pncA	Escalante P TuberLung Dis 1998	464	GTG/GCG	155	Val/Ala	1995, 1996	patients w/ pulmonary TB	Peru	Sequencing	Whole gene	ZHRES		Proportion method	40146	1/0	"katG, 315, AGC/ACC; rpoB, 531, TCG/TTG; "
+PZA	pncA	Lee KW J Korean Med Sci 2001	465	ins T	155	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	2/0	
+PZA	pncA	Scorpio A AAC 1997	475	del C	158	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0	
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	476	CTG/CCG	159	Leu/Pro	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68	
+PZA	pncA	Lee KW J Korean Med Sci 2001	476	CTG/CGG	159	Leu/Arg	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Marttila HJ AAC 1999	478	ACA/CCA	160	Thr/Pro	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	2/0	not tested
+PZA	pncA	Lee KW J Korean Med Sci 2001	480	ins TGAC	160	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0	
+PZA	pncA	Marttila HJ AAC 1999	481	GCG/CCG	161	Ala/Pro	1994-1997	St. Petersburg Institute of Phthisiopulmonology	Russia	Sequencing	Whole gene	Z		BACTEC 460 	36/44	2/0	not tested
+PZA	pncA	Chan RCY JAC 2007	485	GGT/GAT	162	Gly/Asp	1994-2004	250 drug-res. Mtb from Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	ZOREth	100mg/L	BACTEC MGIT 960	89/250	1/0	"Asp94Gly (gyrA); Ser531Leu(rpoB); Met306Val(embB)"
+PZA	pncA	Hou L Epi Infect 2000	501	ins CG	167	Frameshift	1996-1998	patients from China	China	PCR-SSCP	Whole gene	ZSHE	900	Proportion method, BACTEC 460	35/65	1/0	
+PZA	pncA	Cheng SJ AAC 2000	503	ACC/AAC	168	Thr/Asn			Canada	Sequencing	Whole gene	ZRO	300	Proportion method, BACTEC 460	59/59	1/0	
+PZA	pncA	Mestdagh M AAC 1999	511	GCG/ACG	171	Ala/Thr	1999	54 MDR mtb clinical strains	Bangladesh	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Sachais BS MolDiag 1998	511	GCG/CCG	171	Ala/Pro	1993-1999	clinical isolates from Microbio. Lab of Hospital of Univ. of Penn. & Episcopal Hosp. in PA	USA	Sequencing	Whole gene	Z		BACTEC at pH 6.4	39856	1/0	
+PZA	pncA	Mestdagh M AAC 1999	512	GCG/GTG	171	Ala/Val	1999	54 MDR mtb clinical strains	Scotland	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0	
+PZA	pncA	Rodrigues V de F AAC 2005	512	GCG/GAG	171	Ala/Glu	1998-2003	Selected according to culture availability in health centers in Brazl	Brazil	Sequencing	Whole gene	Z		Proportion method	59	40		
+PZA	pncA	Mestdagh M AAC 1999	512	del C	171	Frameshift	1999	54 MDR mtb clinical strains	Rwanda	Sequencing	Whole gene	Z		BACTEC 460 	23/62	1/0		
+PZA	pncA	Hirano  K TLD 1997	515	CTG/CCG	172	Leu/Pro	1997	168 mtb strain isolated in 9 Asian countries and Canada	Canada	Sequencing	Whole gene	ZHRSE	>800	Proportion method	33/168	1/0		
+PZA	pncA	Mestdagh M AAC 1999	514-515	CTG/GCG	172	Leu/Ala	1999	54 MDR mtb clinical strains	Belgium	Sequencing	Whole gene	Z		BACTEC 460 	23/62	2/0		
+PZA	pncA	Scorpio A AAC 1997	518	ins 5bp	173	Frameshift	1992-1995	"38 clinical isolates; 8 mutants made in vivo"		PCR-SSCP	Whole gene	Z	>900ug/ml	Pzase testing by Wayne's method	46/46	1/0		
+PZA	pncA	Sekiguchi JI JCM 2007	523	ATG/GTG	175	Met/Val	2006	TB patients in Japan and Poland	Japan	Multi-plex PCR	Whole gene	Z		Proportion method, rapid broth method	17/138	1/0		
+PZA	pncA	Lee KW J Korean Med Sci 2001	532	ins C	177	Frameshift	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0		
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	535	AGC/CGC	179	Ser/Arg	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68		
+PZA	pncA	Lee KW J Korean Med Sci 2001	538	GTC/TTC	180	Val/Phe	2001	mtb sputum cultures from Korean Institute of TB	South korea	Sequencing	Whole gene	Z		PZase test with Wayne's method	92/95	1/0		
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	543	GAG/GAT	181	Glu/Asp	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68		
+PZA	pncA	Lemaitre N AAC 1999	545	TTG/TCG	182	Leu/Ser	1997		France	Sequencing	Whole gene	ZHRS	500-2000ug/ml		19/35	1/0		
+PZA	pncA	Louw GE Int J Tuberc Lung Dis 2006	554	AGC/ACC	185	Ser/Thr	2001-2002	Randomized selection from previously treated patients from 72 primary health care clinics in the BOKS region of Wester Cape Province. 	South Africa	Sequencing	Whole gene	ZHRSEthK		BACTEC MGIT 960	115	68		
+PZA	pncA	Chan RCY JAC 2007	554	AGC/ATC	185	Ser/Ile	1994-2004	All isolates exhibiting resistance to one or more drugs R,I,E,P,O from Grantham Hospital and Public Health Laboratory of Hong Kong. 	Hong Kong	PCR-SSCP , Sequencing	Whole gene	Z		BACTEC MGIT 960	250	89		
+
+RIFAMPICIN [RIF]																		
+																		
+	rpoB																	
+Drug	Gene	Primary reference	Review reference 1	SNP	Codon position in Ecoli	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	Resistant isolates/Total isolates tested for mutation	Resistant/Sensitive isolates with mutation	Additional mutations	
+RIF	rpoB	Heep M AAC 2000	O'Sullivan DM JAntiChemo 2005	GTC/TTC	146	Val/Phe	Published 2003	6 isolates from Japan for which MICs of rifampin were elevated but with wild-type sequence in the rpoB cluster region. N=6	Japan	Sequencing	Whole gene	R	1-4, 8-32 ug/ml	N.S.	(6/6 || 3 high level of resistance / 6 total)	(3/0)		
+RIF	rpoB	Taniguchi H FEMS Micro 1996		GCG/GTG	381	Ala/Val	Published 1997	39 clinical isolates (including MDR-TB strains) from Koga Hospital, Nougata central hospital, and Fukuoka-Higashi hospital. N=39	Japan	Sequencing	Whole gene	R	200 ug/ml	Proportion method, absolute concentration method	21/39	(1/0)		
+RIF	rpoB	Cavusoglu C JCM 2002	O'Sullivan DM JAntiChemo 2005	CAG/CAT	490	Gln/His	Published 2002	41 RIF-resistant isolates from Reion Tuberculosis Laboratory and Ege University Mycobacteriology Laboratory. N=41	Turkey	Line probe assay, Sequencing 	RRDR	R, RE, RHE, RH, RHES, RHS	N.S.	Proportion method	41/41	(1/0)		
+RIF	rpoB	Schilke K IntJTubLungDis 1999		GAG/GCG	504	Glu/Ala	Published 1999	87 MDR strains from 12 hospitals in Southern African regions + 13 RIF-resistant strains of M. africanum + 3 RIF-resistant strains of M. tuberculosis from Sierra Leone and Uganda + 2 RIF-resistant strains of M. tuberculosis from Namibia. N=105	South Africa	Sequencing	RRDR	MDR	N.S.	Not specified	105/105	(2/0)	Double mutation with 531	
+RIF	rpoB	Heym B Lancet 1994		TTC/TTG	505	Phe /Leu	1991-1992	###############################################################################################################################################################################################################################################################	La Reunion	PCR-SSCP		RSHE	> 100 mg/L	Proportion method	13/39	(2/0)	"1) rpoB L511P; S531C; rpsL K42R; katG no mutation; inhA mutation present 2) rpoB L511P; S531C; rpsL K42R; ka [...]
+RIF	rpoB	Stavrum R PlosOne 2009		TTC/TTA	505	Phe /Leu	Published 2009		India	Sequencing	Whole gene	RSHE	> 100 mg/L	Proportion method	13/39	(2/0)	"1) rpoB L511P; S531C; rpsL K42R; katG no mutation; inhA mutation present 2) rpoB L511P; S531C; rpsL K42R; katG mutation present; inhA mutation present"	
+RIF	rpoB	Wang Q JProtRes 2007		TTC/TCC	505	Phe/Ser	Published 1997		China	Sequencing	Whole gene	R	N.S.	Proportion method, absolute concentration method	112/30	1/0		
+RIF	rpoB	Bahrmand AR JCM 2009		GGC/AGC	507	Gly/Ser	2005-2006	286 isolates from sputa of patients with active pulmonary TB from the southern border of Iran, Zabol province, Afghanistan border.	Iran	Sequencing	411bp fragment of rpoB	41R, 37MDR	<50 ug/ml	Proportion method	41/286	1/0	rpoB T508P	
+RIF	rpoB	Kim BJ JCM 1997	Ramaswamy S Musser JM Tubercle lung Dis 1998	GGC/GAC	507	Gly/Asp	Published 1997	Clinical isolates, both RIF-R (n=32) and RIF-S (n=26) from different patients. Total N=58	South Korea	PCR-SSCP, Sequencing	RRDR	R	N.S.	Absolute concentration method. 	32/58	1/0	Location of double mutants not specified.	
+RIF	rpoB	Bahrmand AR JCM 2009		GGC/GAT	507	Gly/Asp	2005-2006	286 isolates from sputa of patients with active pulmonary TB from the southern border of Iran, Zabol province, Afghanistan border.	Iran	Sequencing	411bp fragment of rpoB	41R, 37MDR	>100 ug/ml	Proportion method	41/286	2/0	rpoB Q513STOP, H526Y, S531F	
+RIF	rpoB	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	Ramaswamy S Musser JM Tubercle lung Dis 1998	del GGC ACC	507	del Gly Thr												
+RIF	rpoB	Bahrmand AR JCM 2009		ACC/CAC	508	Thr/His	2005-2006	286 isolates from sputa of patients with active pulmonary TB from the southern border of Iran, Zabol province, Afghanistan border.	Iran	Sequencing	411bp fragment of rpoB	41R, 37MDR	>100 ug/ml	Proportion method	41/286	6/0	rpoB H526Q, S531F	
+RIF	rpoB	Bahrmand AR JCM 2009		ACC/CCC	508	Thr/Pro	2005-2006	286 isolates from sputa of patients with active pulmonary TB from the southern border of Iran, Zabol province, Afghanistan border.	Iran	Sequencing	411bp fragment of rpoB	41R, 37MDR	<50 ug/ml	Proportion method	41/286	4/0	rpoB G507S	
+RIF	rpoB	Bahrmand AR JCM 2009		ACC/GCC	508	Thr/Ala	2005-2006	286 isolates from sputa of patients with active pulmonary TB from the southern border of Iran, Zabol province, Afghanistan border.	Iran	Sequencing	411bp fragment of rpoB	41R, 37MDR	<75 ug/ml	Proportion method	41/286	2/0	rpoB G523A	
+RIF	rpoB	Mani C JCM 2001		ACC/AGC	508	Thr/Ser	Published 2001	RIF-R (n=44) and RIF-S (n=6) isolates from 50 patients. Total N=50	India	Sequencing	RRDR	R	>128ug/ml	Proportion method	44/50	1/0	None described in the region sequenced.
+RIF	rpoB	Matsiota-Bernard P JCM 1998		ACC/GCT	508	Thr/Ser	1995-1996	RIF-R clinical isolates. N=17	Greece	Line probe assay, Sequencing	RRDR	RHSEth	N.S.	Proportion method	17/17	1/0	None described in the region sequenced.
+RIF	rpoB	Zenteno-Cuevas R MemInstOswaldCruz 2009		AGC/CAG	509	Ser/Gln	2007		Mexico	Sequencing	RRDR	HRSEZ	N.S.	BACTEC 460	15/25	1/0	None
+RIF	rpoB	Williams D AAC 1994		AGC/ACC	509	Ser/Thr	Published 1994	110 RIF-resistant and 10 RIF-susceptible strains from different geographic regions across the world. N=120	Canada	Sequencing	RRDR	RHES	N.S.	Proportion method	108/120	(1/0)	Double mutation with 526 (Asp)
+RIF	rpoB	Sekiguchi J JCM 2007 Jan		AGC/AGG	509	Ser/Arg	Published 2007	105 and 33 clinical isolates were obtained from patients with pulmonary tuberculosis in Japan and Poland, respectively. N=138	Japan 	Sequencing	RRDR	R, MDR	N.S.	Proportion method, BACTEC	28/138	(0/1)	
+RIF	rpoB	Zenteno-Cuevas R MemInstOswaldCruz 2009		CAG/AAG	510	Gln/Lys	2007		Mexico	Sequencing	RRDR	HREZ	N.S.	BACTEC 460	15/25	1/0	None
+RIF	rpoB	Sajduda A JCM 2004	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAG/CAC	510	Gln/His	2000	###############################################################################################################################################################################################################################################################	Poland	real-time sequencing FRET 	RRDR	R, MDR	N.S.	BACTEC 460	64/113	(2/0)	rpoB: double mutation with 516 GAC/TAC
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	CTG/CCG	511	Leu/Pro	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	4/0	"One of the strains was also Asp441Glu; another was Asp441Tyr; the third was also Ser437Thr."
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	CTG/CGG	511	Leu/Arg	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	2/0	None described in the region sequenced.
+RIF	rpoB	Siddiqi N AAC 2002	O'Sullivan DM JAntiChemo 2005	CTG/GTG	511	Leu/Val	1995-1998	126 clinical isolates that were drug resistant. N=126	India	Sequencing	RRDR	R,O	Not listed in Table	Proportion method	94/126	(2/0)	"1) rpoB dual mutation with N518T; gyrA S95T; 2) gyrA S95T"
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	AGC/ACC	512	Ser/Thr	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	1/0	Also mutated at Leu436Pro.
+RIF	rpoB	Sajduda A JCM 2004		AGC/ATC	512	Ser/Ile	2001	###############################################################################################################################################################################################################################################################	Poland	real-time sequencing FRET 	RRDR	R, MDR	N.S.	BACTEC 460	64/113	(1/0)	rpoB: double mutation with 516 GAC/GGC
+RIF	rpoB	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	Ramaswamy S Musser JM Tubercle lung Dis 1998	AGC/CGC	512	Ser/Arg											
+RIF	rpoB	Chan RCY JAC 2007		AGC/GGC	512	Ser/Gly	1994-2004	Consecutive isolates that exhibited resistance to one or more drugs. Grantham Hospital and Public Health Laboratory of Hong Kong	Hong Kong	PCR-SSCP, Sequencing	RRDR			Absolute concentration method	250	221	
+RIF	rpoB	Bahrmand AR JCM 2009		CAA/TAA	513	Gln/STOP	2005-2006	286 isolates from sputa of patients with active pulmonary TB from the southern border of Iran, Zabol province, Afghanistan border.	Iran	Sequencing	411bp fragment of rpoB	41R, 37MDR	>100 ug/ml	Proportion method	41/286	2/0	rpoB G507D, H526Y, S531F
+RIF	rpoB	Bahrmand AR JCM 2009		CAA/AAT	513	Gln/Asn	2005-2006	286 isolates from sputa of patients with active pulmonary TB from the southern border of Iran, Zabol province, Afghanistan border.	Iran	Sequencing	411bp fragment of rpoB	41R, 37MDR	>100 ug/ml	Proportion method	41/286	2/0	rpoB S512T, H526F, S531L
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAA/CTA	513	Gln/Leu	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	2/0	None described in the region sequenced.
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAA/AAA	513	Gln/Lys	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	1/0	None described in the region sequenced.
+RIF	rpoB	Prammananan T CMI 2008		CAA/GAA	513	Gln/Glu	2003-2005		Thailand	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	154/113	1/0	None described in the region sequenced.
+RIF	rpoB	Kim BJ JCM 1997		CAA/CCA	513	Gln/Pro	Published 1997	Clinical isolates, both RIF-R (n=32) and RIF-S (n=26) from different patients. Total N=58	South Korea	Sequencing	RRDR	R	N.S.	Absolute concentration method. 	32/58	2/0	Location of double mutants not specified.
+RIF	rpoB	Valim A JCM 2000		CAA/CAC	513	Gln/His									82/100	1/0	
+RIF	rpoB	Secondary Publication: O'Sullivan DM JAntiChemo 2005	O'Sullivan DM JAntiChemo 2005	CAA/CGA	513	Gln/Arg											
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	ins TTC	513	ins Phe	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	2/0	None described in the region sequenced.
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	ins TTC ATG	513	ins Phe Met	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	1/0	None described in the region sequenced.
+RIF	rpoB	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	Ramaswamy S Musser JM Tubercle lung Dis 1998	del CAA TTC	513	del Gln Phe											
+RIF	rpoB	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	Ramaswamy S Musser JM Tubercle lung Dis 1998	del AA TTC ATG G	513	Gln/His and del Phe Met											
+RIF	rpoB	Valim A JCM 2000		del TTC	514	del Phe	1996-1998	"100 isolates from different regions of Brazil: 26 samples (25 RIF-resistant; 1 RIF-susceptible) from Rio de Janeiro. N=100"	Brazil	Sequencing	RRDR	RHSZEth	N.S.	Proportion method	82/100	(1/0)	Same isolate had deletions: 515 (ATG-Met), 516(GAC-Asp) and change in codon 513 CAA(Gln)/CAC(His)
+RIF	rpoB	Taniguchi H FEMS Micro 1996	Ramaswamy S Musser JM Tubercle lung Dis 1998	TTC/TTG	514	Phe/Leu	Published  1996	39 clinical isolates (including MDR-TB strains) from Koga Hospital, Nougata central hospital, and Fukuoka-Higashi hospital. N=39	Japan	Sequencing	Whole gene	R	12.5 ug/ml	Proportion method, absolute concentration method	21/39	(1/0)	
+RIF	rpoB	Valim A JCM 2000		TTC/GTC	514	Phe/Val	1996-1998	"100 isolates from different regions of Brazil: 26 samples (25 RIF-resistant; 1 RIF-susceptible) from Rio de Janeiro. N=100"	Brazil	Sequencing	RRDR	RHSZEth	N.S.	Proportion method	82/100	(1/0)	Same isolate had change in codon 531 TCG(Ser)/TTG(Leu)
+RIF	rpoB	Cavusoglu C JCM 2002		ins CGG	514	ins Arg	Published 2002	41 RIF-resistant isolates from Reion Tuberculosis Laboratory and Ege University Mycobacteriology Laboratory. N=41	Turkey	Line probe assay, Sequencing	RRDR	R, RE,  RHE, RH, RHES, RHS	N.S.	Proportion method	41/41	(1/0)	
+RIF	rpoB	Lipin MY CMI 2007		del C AT	514	Phe/Leu and del Met	1998-2001	"MDR-TB isolates from pulmonary TB patients. Most patients were male (92%); mean age 43yrs; none were co-infected with HIV. N=217"	Russia	Sequencing	RRDR	RHS, RHSK, RHSE	N.S.	Absolute concentration method. 	217/217	1/0	None described in the region sequenced.
+RIF	rpoB	Valim A JCM 2000		del TTC ATG GAC	514	del Phe Met Asp	1996-1998	"100 isolates from different regions of Brazil: 26 samples (25 RIF-resistant; 1 RIF-susceptible) from Rio de Janeiro. N=100"	Brazil	Sequencing	RRDR	RHSZEth	N.S.	Proportion method	82/100	(1/0)	Same isolate had change in codon 513 CAA(Gln)/CAC(His)
+#RIF	rpoB	Hillemann D Int J Tuberc Lung Dis 2005		ins TTC	515	ins Phe	2004	"92 MDR (73 also resistant to EMB; 89 to SM; 40 to PZA; 31 to PTH); 50 single INH but RMP-susceptible (16 also resistant to EMB; 44 to SM; 7 to PZA; 12 to PTH); 10 fully susceptible strains that were randomly selected from 42 susceptible strains. N=152"	Kazakhstan, Germany	real-time sequencing FRET 	RRDR	MDR	N.S.	N.S.	92/152	(1/0)	
+RIF	rpoB	Sajduda A JCM 2004		ATG/ATT	515	Met/Ile	2003	###############################################################################################################################################################################################################################################################	Poland	real-time sequencing FRET 	RRDR	R, MDR	N.S.	BACTEC 460	64/113	(8/0)	rpoB: double mutation with 516 GAC/TAC
+RIF	rpoB	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	Ramaswamy S Musser JM Tubercle lung Dis 1998	ATG/ATA	515	Met/Ile											
+#RIF	rpoB	Valim A JCM 2000		del ATG GAC CAG AAC	515	del Met Asp Gln Asn	1996-1998	"100 isolates from different regions of Brazil: 26 samples (25 RIF-resistant; 1 RIF-susceptible) from Rio de Janeiro. N=100"	Brazil	Sequencing	RRDR	RHSEZEth	N.S.	Proportion method	82/100	(1/0)	
+RIF	rpoB	Schilke K IntJTubLungDis 1999		GAC/AAC	516	Asp/Asn	Published  1999	87 MDR strains from 12 hospitals in Southern African regions + 13 RIF-resistant strains of M. africanum + 3 RIF-resistant strains of M. tuberculosis from Sierra Leone and Uganda + 2 RIF-resistant strains of M. tuberculosis from Namibia. N=105	South Africa	Sequencing	RRDR	MDR	N.S.	N.S.	105/105	(1/0)	
+RIF	rpoB	Bahrmand AR JCM 2009		GAC/CAC	516	Asp/His	2005-2006	286 isolates from sputa of patients with active pulmonary TB from the southern border of Iran, Zabol province, Afghanistan border.	Iran	Sequencing	411bp fragment of rpoB	41R, 37MDR	50-75 ug/ml	Proportion method	41/286	3/0	rpoB D516H, H526R
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	GAC/GTC	516	Asp/Val	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	1/0	None described in the region sequenced.
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	GAC/GAG	516	Asp/Glu	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	2/0	Also mutated at Leu436Pro.
+RIF	rpoB	Hillemann D Int J Tuberc Lung Dis 2005	Ramaswamy S Musser JM Tubercle lung Dis 1998	GAC/GGC	516	Asp/Gly	2004	"92 MDR (73 also resistant to EMB; 89 to SM; 40 to PZA; 31 to PTH); 50 single INH but RMP-susceptible (16 also resistant to EMB; 44 to SM; 7 to PZA; 12 to PTH); 10 fully susceptible strains that were randomly selected from 42 susceptible strains. N=152"	Kazakhstan, Germany	real-time sequencing FRET 	RRDR	MDR	N.S.	N.S.	92/152	(1/0)	
+RIF	rpoB	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	Ramaswamy S Musser JM Tubercle lung Dis 1998	GAC/GCC	516	Asp/Ala											
+RIF	rpoB	Sajduda A JCM 2004		GAC/GTG	516	Asp/Val	2004	###############################################################################################################################################################################################################################################################	Poland	real-time sequencing FRET 	RRDR	R, MDR	N.S.	BACTEC 460	64/113	(1/0)	None
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	GAC/TAC	516	Asp/Tyr	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	2/0	Also mutated at Leu436Pro.
+RIF	rpoB	Hillemann D Int J Tuberc Lung Dis 2005		GAC/TTC	516	Asp/Phe	2004	"92 MDR (73 also resistant to EMB; 89 to SM; 40 to PZA; 31 to PTH); 50 single INH but RMP-susceptible (16 also resistant to EMB; 44 to SM; 7 to PZA; 12 to PTH); 10 fully susceptible strains that were randomly selected from 42 susceptible strains. N=152"	Kazakhstan, Germany	real-time sequencing FRET 	RRDR	MDR	N.S.	N.S.	92/152	(1/0)	
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	del GAC CAG	516	del Asp Gln	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	2/0	None described in the region sequenced.
+RIF	rpoB	Xueqiong W MolBiotech 2009		GAC/CAC	517	Gln/His	2002-2005		China	Sequencing	RRDR	RSE	N.S.	Absolute concentration method	112/148	1/0	rpoB N518D
+RIF	rpoB	Mani C JCM 2001		del GAC	517	del Gln	Published 2001	RIF-R (n=44) and RIF-S (n=6) isolates from 50 patients. Total N=50	India	Sequencing	RRDR	R	>128ug/ml	Proportion method	44/50	1/0	None described in the region sequenced.
+RIF	rpoB	Sajduda A JCM 2004		CAA/CTA	517	Gln/Leu	2005	###############################################################################################################################################################################################################################################################	Poland	real-time sequencing FRET	RRDR	R, MDR	N.S.	BACTEC 460	64/113	(1/0)	None
+RIF	rpoB	Hillemann D AAC 2005		del CAG AAC	517	del Gln Asn	2001	113 strains (103 MDR and 10 randomly chosen fully susceptible). N=113	Germany	real-time sequencing	RRDR	MDR	N.S.		103/113	(1/0)	katG 315 AGC-ACC/Ser-Thr 
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	del CAG AAC	517	del Gln Asn	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	1/0	None described in the region sequenced.
+RIF	rpoB	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	Ramaswamy S Musser JM Tubercle lung Dis 1998	del G AAC AA	517	Gln/His and del Asn Asn											
+RIF	rpoB	Wang Q JProtRes 2007		AAC/TAC	518	Asn/Tyr	Published 1997		China	Sequencing	Whole gene	R	N.S.	Proportion method, absolute concentration method	112/30	1/0	
+RIF	rpoB	Siddiqi N AAC 2002		AAC/ACC	518	Asn/Thr	1995-1998	126 clinical isolates that were drug resistant. N=126	India	Sequencing	RRDR	RHO, ROS,  RO, RH	N.S.	Proportion method	94/126	(6/0)	"1) rpoB dual mutaton with L511L; katG and inhA NM; gyrA A90A, S95T 3) rpoB dual mutation with R528P; gyrA S95T; rpsL NM; 4) rpoB dual mutaton with L511V; gyrA S95T; 5) gyrA S95T; 6) gyrA NM; 7) rpoB dual mutation with D516V; katG and inhA R463L"
+RIF	rpoB	Hillemann D AAC 2005		AAC/ATC	518	Asn/Ile	2001	113 strains (103 MDR and 10 randomly chosen fully susceptible). N=113	Germany	real-time sequencing	RRDR	MDR	N.S.		103/113	(1/0)	None
+RIF	rpoB	Kim BJ JCM 1997	Ramaswamy S Musser JM Tubercle lung Dis 1998	AAC/CAC	518	Asn/His	Published 1997	Clinical isolates, both RIF-R (n=32) and RIF-S (n=26) from different patients. Total N=58	South Korea	Sequencing and PCR-SSCP	RRDR	R	N.S.	Absolute concentration method. 	32/58	1/0	Location of double mutants not specified.
+RIF	rpoB	Chan RCY JAC 2007		AAC/GAC	518	Asn/Asp	1994-2004	Consecutive isolates that exhibited resistance to one or more drugs. Grantham Hospital and Public Health Laboratory of Hong Kong	Hong Kong	PCR-SSCP, Sequencing	RRDR			Absolute concentration method. 	250	221	
+RIF	rpoB	Bahrmand AR JCM 2009		AAC/AAG	519	Asn/Lys	2005-2006	286 isolates from sputa of patients with active pulmonary TB from the southern border of Iran, Zabol province, Afghanistan border.	Iran	Sequencing	411bp fragment of rpoB	41R, 37MDR	50 ug/ml	Proportion method	41/286	2/0	rpoB L511V, Q513E, H526R
+RIF	rpoB	Heym B Lancet 1994		del AAC	519	del Asn	1991-1992	###############################################################################################################################################################################################################################################################	Russia, Netherlands	PCR-SSCP		MDR	10-100ug/ml	Proportion method	13/39	(2/0)	"1) katG mutation present; inhA no mutation present; 2) katG no mutation present"
+RIF	rpoB	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	Ramaswamy S Musser JM Tubercle lung Dis 1998	CTG/ATG	521	Leu/Met											
+RIF	rpoB	Taniguchi H FEMS Micro 1996		CTG/CCG	521	Leu/Pro	Published  1998	39 clinical isolates (including MDR-TB strains) from Koga Hospital, Nougata central hospital, and Fukuoka-Higashi hospital. N=39	Japan	Sequencing	Whole gene	R	< 0.39 ug/ml	Proportion method, absolute concentration method	21/39	(0/1)	
+RIF	rpoB	Secondary Publication: O'Sullivan DM JAntiChemo 2005	O'Sullivan DM JAntiChemo 2005	CTG/CTA	521	Leu/Leu											
+RIF	rpoB	Bodmer T JAC 1995	Ramaswamy S Musser JM Tubercle lung Dis 1998	TCG/TTG	522	Ser/Leu	Published  1998	122 clinical isolates from patients from diverse geographical locations (Telenti et al, 1993a). 10 RMP-susceptible and 26 RMP-resistant isolates were examined. N=36	N.S.	PCR-SSCP	RRDR	R	8ug/ml	BACTEC 460	26/36	(1/0)	
+RIF	rpoB	Yuen LK JCM 1999	O'Sullivan DM JAntiChemo 2005	TCG/CAG	522	Ser/Gln	1990-1997	"50 clinical isolates collected from different reference laboratories in Australia: 17 RIF sensistive; 33 RIF resistant. N=50"	Timor	Sequencing	RRDR	RH	32-256 ug/ml	Resistance ratio method, ,BACTEC 460, E-test	33/50	(2/0)	None
+RIF	rpoB	Secondary Publication: O'Sullivan DM JAntiChemo 2005	O'Sullivan DM JAntiChemo 2005	TCG/TGG	522	Ser/Trp											
+RIF	rpoB	El Baghdadi J IJTLD 2003		CCC/ACC	523	Gly/Trp	1996-2001	"122 isolates from 112 different patients; 42 Mtb isolates analyzed (37 resistant, 5 sensitive). N=122"	Morocco	Sequencing	RRDR	RHS	N.S.	Resistance ratio method	101/122	(1/0)	
+RIF	rpoB	Pozzi G JCM 1999		GGG/TGG	523	Gly/Trp	Published April 2000	"MDR isolates from three clinical microbiology laboratories; 37 isolates, proven to be from different patients, analyzed for this study. N=37"	Italy	Sequencing	RRDR	RH, RHS, RHSCip, RHSAmi, RHSZ, RHSZAmi, RHSCZ 	8-128ug/ml	Absolute concentration method	37/37	(1/0)	Triple mutation with GAC516TAC and ACC525ATC
+RIF	rpoB	Bahrmand AR JCM 2009		GGG/GCG	523	Gly/Ala	2005-2006	286 isolates from sputa of patients with active pulmonary TB from the southern border of Iran, Zabol province, Afghanistan border.	Iran	Sequencing	411bp fragment of rpoB	41R, 37MDR	>100 ug/ml	Proportion method	41/286	25/0	rpoB T508A or S531L or L511V, or H526R
+RIF	rpoB	Valim A JCM 2000		TTG/TGG	524	Leu/Trp	1996-1998	"100 isolates from different regions of Brazil: 26 samples (25 RIF-resistant; 1 RIF-susceptible) from Rio de Janeiro. N=100"	Brazil	Sequencing	RRDR	MDR	N.S.	Proportion method	82/100	(1/0)	"Same isolate had changes in codons 525 ACC(Thr)/CCC(Pro); 526 CAC(His)/CTG(Leu); 527 del AAG(Lys)"
+RIF	rpoB	Zenteno-Cuevas R MemInstOswaldCruz 2009		TTG/TCG	524	Leu/Ser	2007		Mexico	Sequencing	RRDR	HR	N.S.	BACTEC 460	15/25	1/0	rpoB S531L
+RIF	rpoB	Valim A JCM 2000		ACC/CCC	525	Thr/Pro	1996-1998	"100 isolates from different regions of Brazil: 26 samples (25 RIF-resistant; 1 RIF-susceptible) from Rio de Janeiro. N=100"	Brazil	Sequencing	RRDR	MDR	N.S.	Proportion method	82/100	(1/0)	"Same isolate had changes in codons 524 TTG(Leu)/TGG(Trp); 526 CAC(His)/CTG(Leu); 527 del AAG(Lys)"
+RIF	rpoB	Pozzi G JCM 1999		ACC/ATC	525	Thr/Ile	Published April 2001	"MDR isolates from three clinical microbiology laboratories; 37 isolates, proven to be from different patients, analyzed for this study. N=37"	Italy	Sequencing	RRDR	RH, RHS, RHSCip, RHSAmi, RHSZ, RHSZAmi, RHSCZ 	8-128ug/ml	Proportion method	37/37	(1/0)	Triple mutation with GAC516TAC and GGG523TGG
+RIF	rpoB	Bahrmand AR JCM 2009		CAC/TTC	526	His/Phe	2005-2006	286 isolates from sputa of patients with active pulmonary TB from the southern border of Iran, Zabol province, Afghanistan border.	Iran	Sequencing	411bp fragment of rpoB	41R, 37MDR	>100 ug/ml	Proportion method	41/286	2/0	rpoB S512T, G513N, S531L
+RIF	rpoB	Ramaswamy SV J Med Micro 2004	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAC/AAC	526	His/Asn	1996-2001	Subset of 186 strains initially isolated from patients who attended the Jose E. Gonzalez University Hospital TB clinic. N=37	Mexico	Sequencing		RHSE	N.S.	Proportion method	37/50	(1/0)	"rpoB: Double mutation with 435 GAC/GAG; embB: 306 ATG/ATA1 "
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAC/GAC	526	His/Asp	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	8/0	None described in the region sequenced.
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAC/TAC	526	His/Tyr	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	39/0	None described in the region sequenced.
+RIF	rpoB	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAC/ACC	526	His/Thr											
+RIF	rpoB	Prammananan T CMI 2008		CAC/AGC	526	His/Ser	2003-2005		Thailand	Sequencing	Whole gene	MDR	N.S.	Proportion method	154/113	1/0	rpoB 515 ATG/CTG
+RIF	rpoB	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAC/GGC	526	His/Gly											
+RIF	rpoB	Kim BJ JCM 1997	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAC/TGC	526	His/Cys	Published 1997	Clinical isolates, both RIF-R (n=32) and RIF-S (n=26) from different patients. Total N=58	South Korea	PCR-SSCP, Sequencing	RRDR	R	N.S.	Absolute concentration method. 	32/58	2/0	Location of double mutants not specified.
+RIF	rpoB	Kim BJ JCM 1997	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAC/CGC	526	His/Arg	Published 1997	Clinical isolates, both RIF-R (n=32) and RIF-S (n=26) from different patients. Total N=58	South Korea	PCR-SSCP, Sequencing	RRDR	R	N.S.	Absolute concentration method. 	32/58	1/0	Location of double mutants not specified.
+RIF	rpoB	Bodmer T JAC 1995	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAC/CCC	526	His/Pro	Published  2001	122 clinical isolates from patients from diverse geographical locations (Telenti et al, 1993a). 10 RMP-susceptible and 26 RMP-resistant isolates were examined. N=36	N.S.	PCR-SSCP	RRDR	R	8ug/ml	BACTEC 460	26/36	(2/0)	
+RIF	rpoB	Valim A JCM 2000		CAC/CTG	526	His/Leu	1996-1998	"100 isolates from different regions of Brazil: 26 samples (25 RIF-resistant; 1 RIF-susceptible) from Rio de Janeiro. N=100"	Brazil	Sequencing	RRDR	RHSEZEth	N.S.	Proportion method	82/100	(1/0)	"Same isolate had changes in codons 524 TTG(Leu)/TGG(Trp); 525 ACC(Thr)/CCC(Pro); 527 del AAG(Lys)"
+RIF	rpoB	Sheng J JApplMicro 2008		CAC/CTT	526	His/Leu	2002-2003	56 isolates from patients with pulmonary TB in Zhejiang province	China	PCR-SSCP , Sequencing	RRDR	R	N.S.	Agar proportion method 	49/56	1/0	None in rpoB
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAC/CTC	526	His/Leu	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	2/0	None described in the region sequenced.
+RIF	rpoB	Kapur V JCM 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAC/CAA	526	His/Gln	Published 1994	"Clinical isolates, both RIF-R (n=121) and RIF-S (n=7); some of them had been studied previously. Total N=128"	USA	Sequencing	Whole gene	R	N.S.	Proportion method, BACTEC	121/128	1/0	Also mutated at Ser456Cys.
+RIF	rpoB	Bodmer T JAC 1995	Ramaswamy S Musser JM Tubercle lung Dis 1998	CAC/CAG	526	His/Gln	Published 2003	122 clinical isolates from patients from diverse geographical locations (Telenti et al, 1993a). 10 RMP-susceptible and 26 RMP-resistant isolates were examined. N=36	N.S.	PCR-SSCP	RRDR	R	>8ug/ml	BACTEC 460	26/36	(2/0)	Double mutation with 498 Val/Ala
+RIF	rpoB	Siddiqi N AAC 2002	O'Sullivan DM JAntiChemo 2005	AAG/AAT	527	Lys/Asn	1995-1998	126 clinical isolates that were drug resistant. N=126	India	Sequencing	RRDR	HRH	40 ug/ml	Proportion method	94/126	(2/0)	"1) katG or inhA R463L; 2) katG or inhA R463L, rpoB dual mutation with L521L"
+RIF	rpoB	Valim A JCM 2000		del AAG	527	del Lys	1996-1998	"100 isolates from different regions of Brazil: 26 samples (25 RIF-resistant; 1 RIF-susceptible) from Rio de Janeiro. N=100"	Brazil	Sequencing	RRDR	RHSEZEth	N.S.	Proportion method	82/100	(1/0)	"Same isolate had changes in codons 524 TTG(Leu)/TGG(Trp); 525 ACC(Thr)/CCC(Pro); 526 CAC(His)/CTG(Leu)"
+RIF	rpoB	Williams D AAC 1994		AAG/CAG	527	Lys/Gln	Published 1995	110 RIF-resistant and 10 RIF-susceptible strains from different geographic regions across the world. N=120	USA	PCR-HDF,  Sequencing	RRDR	RHEEt	N.S.	Proportion method	108/120	(1/0)	Double mutation with 526 (His)
+RIF	rpoB	Siddiqi N AAC 2002		CGC/CAC	528	Arg/His	1995-1998	126 clinical isolates that were drug resistant. N=126	India	Sequencing	RRDR	HR, ROS	64-128 ug/ml	Proportion method	94/126	(2/0)	"1) rpoB dual mutation with H526Y; gyrA S95T; rpsL NM;  2) rpoB 1 dual mutation with with S531W; katG and inhA R463L, Inh (C/T)"
+RIF	rpoB	Siddiqi N AAC 2002	O'Sullivan DM JAntiChemo 2005	CGC/CCC	528	Arg/Pro	1995-1998	126 clinical isolates that were drug resistant. N=126	India	Sequencing	RRDR	ROS, RHO, RHS, RH	40-64 ug/ml*	Proportion method	94/126	(4/0)	"1) rpoB dual mutation with N518T; gyrA S95T; rpsL NM; 2) katG or inhA NA; gyrA S95T; 3) katG or inhA R463L; rpsL K121K;  4) katG or inhA R463L; rpoB dual mutation with H526Y"
+RIF	rpoB	Zenteno-Cuevas R MemInstOswaldCruz 2009		CGC/CCT	528	Arg/Pro	2007		Mexico	Sequencing	RRDR	HRSEZ	N.S.	BACTEC 460	15/25	1/0	None
+RIF	rpoB	Wang Q JProtRes 2007		TCG/TAG	538	Leu/STOP	Published 1997		China	Sequencing	Whole gene	R	N.S.	Proportion method, absolute concentration method	112/30	1/0	
+RIF	rpoB	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	Ramaswamy S Musser JM Tubercle lung Dis 1998	TCG/CAG	531	Ser/Gln											
+RIF	rpoB	Donabella V Am J Respir Cell Mol Biol 1994	Ramaswamy S Musser JM Tubercle lung Dis 1998	TCG/TTG	531	Ser/Leu	Published 1994		USA	Sequencing	RRDR	R	N.S.		(1/9)	(1/0)	
+RIF	rpoB	Bodmer T JAC 1995		TCG/TGG	531	Ser/Trp	Published 2005	122 clinical isolates from patients from diverse geographical locations (Telenti et al, 1993a). 10 RMP-susceptible and 26 RMP-resistant isolates were examined. N=36	N.S.	PCR-SSCP	RRDR	R	8ug/ml	BACTEC 460	26/36	(1/0)	
+RIF	rpoB	Bodmer T JAC 1995	Ramaswamy S Musser JM Tubercle lung Dis 1998	TCG/TAT	531	Ser/Tyr	Published 2006	122 clinical isolates from patients from diverse geographical locations (Telenti et al, 1993a). 10 RMP-susceptible and 26 RMP-resistant isolates were examined. N=36	N.S.	PCR-SSCP	RRDR	R	>8ug/ml	BACTEC 460	26/36	(1/0)	
+RIF	rpoB	Hillemann D AAC 2005		TCG/TTT	531	Ser/Phe	2001	113 strains (103 MDR and 10 randomly chosen fully susceptible). N=113	Germany	real-time sequencing	RRDR	MDR	N.S.		103/113	(2/0)	katG 315 AGC-ACC/Ser-Thr 
+RIF	rpoB	Secondary Publication: Ramaswamy S Musser JM Tubercle lung Dis 1998	Ramaswamy S Musser JM Tubercle lung Dis 1998	TCG/TGT	531	Ser/Cys											
+RIF	rpoB	Moghazeh SL AAC 1996	Ramaswamy S Musser JM Tubercle lung Dis 1998	CTG/CCG	533	Leu/Pro	1992-1995	RIF-R clinical isolates from strain database. N=24	USA	Sequencing	N.S	R	>32ug/ml	Proportion method	24/24	1/0	None described in the region sequenced.
+RIF	rpoB	Valim A JCM 2000		CTG/CCT	533	Leu/Pro	1996-1998	"100 isolates from different regions of Brazil: 20 samples (19 RIF-resistant; 1 RIF-susceptible) from Sao Paulo. N=100"	Brazil	Sequencing	RRDR	RH, RHS	N.S.	Proportion method	82/100	(2/0)	Same isolate had double mutation: 526 CAC(His)/CTG(Leu)
+RIF	rpoB	Tracevska T JCM 2002 		CCC/TCC	535	Pro/Ser	1999-2000	"70 patients admitted to State Centre for Tuberculosis and Lung Diseases with clinical symptoms of lung or renal TB or TB meningitis. 25-60 yrs old; 2/3 male. 19 drug-susceptible; 34 MDR isolates were analyzed by LiPA. N=70"	Latvia	Line probe assay, Sequencing	RRDR	R, RH	N.S.	Absolute concentration method, BACTEC 	51/70	(4/0)	Double mutation with D516Y
+RIF	rpoB	Prammananan T CMI 2008		CCC/CAC	535	Pro/His	2003-2005		Thailand	Sequencing	Whole gene	MDR	N.S.	Proportion method	154/113	1/0	rpoB 526 CAC/AGC His/Ser
+RIF	rpoB	Wang Q JProtRes 2007		CTG/CCG	538	Leu/Pro	Published 1997		China	Sequencing	Whole gene	R	N.S.	Proportion method, absolute concentration method	112/30	1/0	
+RIF	rpoB	Prammananan T CMI 2008		GAG/GGG	541	Glu/Gly	2003-2005		Thailand	Sequencing	Whole gene	MDR	N.S.	Proportion method	154/113	1/0	rpoB 526 CAC/TAC His/Tyr
+RIF	rpoB	Pozzi G JCM 1999		GAG/GAT	541	Glu/Gly	Published 2002	"MDR isolates from three clinical microbiology laboratories; 37 isolates, proven to be from different patients, analyzed for this study. N=37"	Italy	Sequencing	RRDR	RH, RHS, RHSCip, RHSAmi, RHSZ, RHSZAmi, RHSCZ 	32-128 ug/ml	Proportion method	37/37	(1/0)	Triple mutation with CAC526GAC and TCG553GCG
+RIF	rpoB	Aslan G JpnJInfectDis 2008		CTG/ATG	545	Leu/Met	2003-2006	Isolates from patients in Mersin University hospital in southern Turkey	Turkey	Sequencing	RRDR	R or MDR	N.S.	BACTEC 460	19/41	3/0	rpoB S531A, katG S315T
+RIF	rpoB	Pozzi G JCM 1999		TCG/GCG	553	Ser/Ala	Published 2003	"MDR isolates from three clinical microbiology laboratories; 37 isolates, proven to be from different patients, analyzed for this study. N=37"	Italy	Sequencing	RRDR	RH, RHS, RHSCip, RHSAmi, RHSZ, RHSZAmi, RHSCZ 	32-128 ug/ml	Proportion method	37/37	(1/0)	Triple mutation with CAC526GAC and GAG541GAT
+RIF	rpoB	Ramaswamy SV J Med Micro 2004		ATC/GTC	561	Ile/Val	1996-1998	Subset of 186 strains initially isolated from patients who attended the Jose E. Gonzalez University Hospital TB clinic + 13 pan-susceptible isolates. N=50	Mexico	Sequencing	RRDR	RHSE	N.S.	Proportion method	37/50	(1/0)	"rpoB: Double mutation with 450 TCG/TTG; embB: 306 ATG/ATA"
+RIF	rpoB	Heep M JCM 2001		ATC/ACC	561	Ile/Thr	1997	80 RIF-resistant patients obtained during the year by the German National Reference Center for Mycobacteria + 18 samples (16 DNA samples and 2 culture samples) from previous studies were analyzed. N=98	Germany	Sequencing	RRDR	N.S.	N.S.	Proportion method	111/111	(1/0)	Double mutation with S456L
+RIF	rpoB	Hauck Y JAC 2009		GAA/GGA	562	Glu/Gly	Published 2009	126 RIF resistant isolates were recovered from 142 patients by the reference centre for mycobacteria of the Service de SantŽ des ArmŽes in a total of 18 countries. This mutation confer low level RIF resistance	Various	Sequencing	RRDR	R	<1 ug/ml	MGIT 960	122/122	1/0	rpoB P564L
+RIF	rpoB	Hauck Y JAC 2009		CCT/CTT	564	Pro/Leu	Published 2009	126 RIF resistant isolates were recovered from 142 patients by the reference centre for mycobacteria of the Service de SantŽ des ArmŽes in a total of 18 countries. This mutation confer low level RIF resistance	Various	Sequencing	RRDR	R	<1 ug/ml	MGIT 960	122/122	1/0	rpoB E562G			
+RIF	rpoB	Heep M JCM 2001		CTG/GTG	571	Leu/Val	1997	80 RIF-resistant patients obtained during the year by the German National Reference Center for Mycobacteria + 18 samples (16 DNA samples and 2 culture samples) from previous studies were analyzed. N=98	Germany	Sequencing	RRDR	RHEZ	N.S.	Proportion method	111/111	(2/0)	Double mutation with D441Y			
+RIF	rpoB	Yuen LK JCM 1999	O'Sullivan DM JAntiChemo 2005	ATC/TTC	572	Ile/Phe	1990-1997	"51 clinical isolates collected from different reference laboratories in Australia: 17 RIF sensistive; 33 RIF resistant. N=50"	Vietnam	Sequencing	RRDR	RHE	> 256 ug/ml	Resistance ratio method, BACTEC 460, E-test	33/50	(1/0)	None			
+RIF	rpoB	Chan RCY JAC 2007		TCG/TTG	574	Ser/Leu	1994-2004	250 resistant isolates (resistant to 5 anti-tiuberculosis drugs) - none had apparent clonal features + 50 susceptible controls + 2 reference strains: ATCC 27294 H37Rv and ATCC 25117 H37Rag. N=302 isolates	Hong Kong	PCR-SSCP, Sequencing	RRDR	RHEZ	>64 ug/ml	Absolute concentration method. 	221/250	1	katG 311 Asp/Gly			
+RIF	rpoB	Prammananan T CMI 2008		TCG/GCG	622	Ser/Ala	2003-2005		Thailand	Sequencing	Whole gene	MDR	N.S.	Proportion method	154/113	1/0	rpoB 531 TCG/TTG ser/Leu			
+RIF	rpoB	Heep M JCM 2001		CGC/TGC	633	Arg/Cys	1997	80 RIF-resistant patients obtained during the year by the German National Reference Center for Mycobacteria + 18 samples (16 DNA samples and 2 culture samples) from previous studies were analyzed. N=98	Germany	Sequencing	RRDR	RH	N.S.	Proportion method, BACTEC 460	111/111	(1/0)	Double mutation with S456L			
+RIF	rpoB	Heep M JCM 2001		GAG/GAT	672	Glu/Asp	1997	80 RIF-resistant patients obtained during the year by the German National Reference Center for Mycobacteria + 18 samples (16 DNA samples and 2 culture samples) from previous studies were analyzed. N=98	Germany	Sequencing	RRDR	RH, RHE, RHZ, RHEZ	N.S.	Proportion method, BACTEC 460	111/111	(7/0)	Double mutation with S456W			
+																				
+																				
+																				
+	embB																			
+	Gene	Primary reference	Review reference 1	SNP		Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations			
+RIF	embB	Shi R AAC 2007		TAT/CAT		Tyr/His		74 clinical isolates from Beijing Tuberculosis Resaerch Institute. N=74	China	Sequencing	N.S	RHS	50-250 ug/ml	Proportion method	24/74 but not clear about differences between mutations					
+RIF	embB	Shi R AAC 2007 		TAT/GAT		Tyr/Asp		74 clinical isolates from Beijing Tuberculosis Resaerch Institute. N=74	China	Sequencing	N.S	RH	50-250 ug/ml	Proportion method	24/74 but not clear about differences between mutations					
+																				
+STREPTOMYCIN [SM]																				
+																				
+	gidB																			
+Drug	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	Resistant isolates/Total isolates tested for mutation	Resistant/Sensitive isolates with mutation	Additional mutations			
+SM	gidB	Okamoto S MolMicro 2007	47	T/G	16	Leu/Arg	Before 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	HRSE	20 ug/ml	Absolute concentration method	57/132	1/0	G257C(rpsL)			
+SM	gidB	Okamoto S MolMicro 2007	102	del G	34	Frameshift	Before 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	"R, H; S; E, K, PAS, "	20 ug/ml	Absolute concentration method	57/132	1/0	"A276C (gidB); A908G (rrs) "			
+SM	gidB	Okamoto S MolMicro 2007	115	del C	39	Frameshift	Before 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	R, H, S	20 ug/ml	Absolute concentration method	57/132	1/0	none			
+SM	gidB	Okamoto S MolMicro 2007	118	G/T	40	Glu/STOP	Before 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	H, SM, K, PAS	20 ug/ml	Absolute concentration method	57/132	1/0	A262C(rpsL)			
+SM	gidB	Spies FS AAC 2008		TGG/TGC	45	Trp/Cys	Published 2008	Rio Grande do Sul	Brazil	Sequencing	675bp fragment	H,R,S,E	15,6 ug/ml	Resazurin microtiter assay	47/32	1/0	none			
+SM	gidB	Okamoto S MolMicro 2007	140	G/A	47	Arg/Gln	Before 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	R, H, S, E, PAS	20 ug/ml	Absolute concentration method	57/132	1/0	A908G(rrs)			
+SM	gidB	Okamoto S MolMicro 2007	164	T/G	55	Ile/Ser	Before 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	R, H, S, E, K, PAS	20 ug/ml	Absolute concentration method	57/132	1/0	A276C (gidB), A513C (rrs)			
+SM	gidB	Okamoto S MolMicro 2007	199	G/C	67	Asp/His	After 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	S	8 ug/ml	Absolute concentration method	57/132	1/0	none			
+SM	gidB	Okamoto S MolMicro 2007	208	A/C	70	Ser/Arg	Before 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	R, H, S, E, K, PAS	20 ug/ml	Absolute concentration method	57/132	1/0	"A276C (gidB); A513C (rrs) "			
+SM	gidB	Okamoto S MolMicro 2007	210	C/A	70	Ser/Arg	Before 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	R, H, S, E, PAS	20 ug/ml	Absolute concentration method	57/132	1/0	none			
+SM	gidB	Okamoto S MolMicro 2007	212	G/T	71	Gly/Val	Before 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	R, H, S, E, 	20 ug/ml	Absolute concentration method	57/132	1/0	A276C (gidB)			
+SM	gidB	Okamoto S MolMicro 2007	223	C/G	75	Pro/Ala	Before 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	H, S, E, K	20 ug/ml	Absolute concentration method	57/132	1/0	none			
+SM	gidB	Okamoto S MolMicro 2007	276	A/C	92	Glu/Asp	Before 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	R, H, S, E, PAS	20 ug/ml	Absolute concentration method	57/132	1/0	A128G(rpsL)			
+SM	gidB	Okamoto S MolMicro 2007	307	G/T	103	Glu/STOP		132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	R, H, S, E	N.S	Absolute concentration method	57/132	1/0	A513C (rrs)			
+SM	gidB	Okamoto S MolMicro 2007	351	del G	117	Frameshift	After 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	S	8ug/ml	Absolute concentration method	57/132	2/0				
+SM	gidB	Okamoto S MolMicro 2007	373	C/T	125	Gln/STOP		132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	N.S	N.S	Absolute concentration method	57/132	1/0				
+SM	gidB	Okamoto S MolMicro 2007	380	A/C	127	Gln/Pro		132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	N.S	N.S	Absolute concentration method	57/132	1/0				
+SM	gidB	Okamoto S MolMicro 2007	401	C/A	134	Ala/Glu		132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	N.S	N.S	Absolute concentration method	57/132	1/0				
+SM	gidB	Okamoto S MolMicro 2007	413	C/T	138	Ala/Glu		132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	R, H, S, K, PAS	20 ug/ml	Absolute concentration method	57/132	1/0				
+SM	gidB	Spies FS AAC 2008		TGG/CGG	148	Trp/Arg	Published 2008	Rio Grande do Sul	Brazil	Sequencing	675bp fragment	H,R,S,E	15,6 ug/ml	Resazurin microtiter assay	47/32	1/0	none			
+SM	gidB	Okamoto S MolMicro 2007	548	C/A	183	Ala/Glu		132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	N.S	N.S	Absolute concentration method	57/132	1/0				
+SM	gidB	Okamoto S MolMicro 2007	563	T/G	188	Val/Gly		132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	R, H, S, E, K, PAS	20 ug/ml	Absolute concentration method	57/132	1/0	a276C (gidB), G888A (rrs)			
+SM	gidB	Okamoto S MolMicro 2007	599	C/A	200	Ala/Glu		132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing	Whole gene	N.S	N.S	Absolute concentration method	57/132	1/0				
+																				
+	rpsL																			
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations			
+SM	rpsL	Sreevatsan S AAC 1996	23	CGC/CAC	9	Arg/His														
+SM	rpsL	Brzostek A IntJ TubLungDis 2004	119	ACC/ATC	40	Thr/Ile	2000	88 patients with positive cultures from Poland's 2000 national survey	Poland	Sequencing	region of rpsL	S	N.S	Proportion method, BACTEC 460	4/88	4/0				
+SM	rpsL	Brzostek A IntJ TubLungDis 2004	122	ACT/AGT	41	Thr/Ser	2000	88 patients with positive cultures from Poland's 2000 national survey	Poland	Sequencing	region of rpsL	S	N.S	Proportion method, BACTEC 460	1/88	1/0	Thr41Ser is one of 18 silent mutations and 6 a.a. sub: Lys51Asn, Val52Gly, Gly84Val, Arg86Trp, Val87Leu			
+SM	rpsL	Nair J Mol Micro 1993	128	AAG/AGG	43	Lys/Arg	1950		USA	Sequencing	Whole gene	S, H, E	N.S	N.S	8/8	1/0				
+SM	rpsL	Finken M Mol Micro 1993	128	AAG/ACG	43	Lys/Thr	1993	m. luteus, m.tb		Sequencing	Whole gene	MDR	N.S	Proportion method, BACTEC 460	38/73	5/0	not specified			
+SM	rpsL	Brzostek A IntJ TubLungDis 2004	153	AAG/AAC	51	Lys/Asn	2000	88 patients with positive cultures from Poland's 2000 national survey	Poland	Sequencing	region of rpsL	S	N.S	Proportion method, BACTEC 460	1/88	1/0	Thr51Ser is one of 18 silent mutations and 6 a.a. sub: Lys41Asn, Val52Gly, Gly84Val, Arg86Trp, Val87Leu			
+SM	rpsL	Brzostek A IntJ TubLungDis 2004	155	GTT/GGT	52	Val/Gly	2000	88 patients with positive cultures from Poland's 2000 national survey	Poland	Sequencing	region of rpsL	S	N.S	Proportion method, BACTEC 460	1/88	1/0	Thr52Ser is one of 18 silent mutations and 6 a.a. sub: Lys51Asn, Val41Gly, Gly84Val, Arg86Trp, Val87Leu			
+SM	rpsL	Brzostek A IntJ TubLungDis 2004	251	GGC/GTC	84	Gly/Val	2000	88 patients with positive cultures from Poland's 2000 national survey	Poland	Sequencing	region of rpsL	S	N.S	Proportion method, BACTEC 460	1/88	1/0	Thr84Ser is one of 18 silent mutations and 6 a.a. sub: Lys51Asn, Val52Gly, Gly41Val, Arg86Trp, Val87Leu			
+SM	rpsL	Brzostek A IntJ TubLungDis 2004	256	CGG/TGG	86	Arg/Trp	2000	88 patients with positive cultures from Poland's 2000 national survey	Poland	Sequencing	region of rpsL	S	N.S	Proportion method, BACTEC 460	1/88	1/0	Thr86Ser is one of 18 silent mutations and 6 a.a. sub: Lys51Asn, Val52Gly, Gly84Val, Arg41Trp, Val87Leu			
+SM	rpsL	Okamoto S MolMicro 2007	257	CGG/CCG	86	Arg/Pro	Before 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing		RHSE	20 ug/ml	Absolute concentration method	57/132	1/0	T47G (gidB)			
+SM	rpsL	Brzostek A IntJ TubLungDis 2004	259	GTG/TTG	87	Val/Leu	2000	88 patients with positive cultures from Poland's 2000 national survey	Poland	Sequencing	region of rpsL	S	N.S	Proportion method, BACTEC 460	1/88	1/0	Thr87Ser is one of 18 silent mutations and 6 a.a. sub: Lys51Asn, Val52Gly, Gly84Val, Arg86Trp, Val41Leu			
+SM	rpsL	Sreevatsan S AAC 1996	262	AAG/CAG	88	Lys/Gln	1995	139 strains of mtb	Vietnam	Sequencing	Whole gene	S	>200ug/ml	Proportion method, BACTEC 460	78/139	1/0	GTG/ATG, Val/Met			
+SM	rpsL	Finken M Mol Micro 1993	263	AAG/AGG	88	Lys/Arg 	1993	m. luteus, m.tb		Sequencing	Whole gene	S	N.S	Proportion method	38/73	2/0	n/a			
+SM	rpsL	Katsukawa C J Appl Micro 1997	263	AAG/ATG	88	Lys/Met														
+SM	rpsL	Katsukawa C J Appl Micro 1998	263	AAG/ACG	88	Lys/Thr														
+SM	rpsL	Sreevatsan S AAC 1996	277	GTG/ATG	93	Val/Met														
+																				
+	rrs																			
+	Gene	Primary reference	nt position	SNP	Codon position	Amino acid	Time period	Study population	Origin	Molecular detection method	Gene coverage	Resistance pattern 	MIC 	Susceptibility testing method	R/Total isolates 	R/S isolates with mutation	Additional mutations			
+SMc	rrs	Ramaswamy SV J Med Micro 2004	190	G/A	190		1996-1998	patients from Jose E. Gonzalez Univ. Hosp	Mexico	Sequencing	Whole rrs	RHS	N.S	Proportion method	39838	1/0	"15 ups; C/T (inhA)"			
+SMc	rrs	Ramaswamy SV J Med Micro 2004	427	G/T	427		1996-1998	patients from Jose E. Gonzalez Univ. Hosp	Mexico	Sequencing	Whole rrs	RHS	N.S	Proportion method	39838	1/0	"315, AGC/ACC, Ser/Thr (katG); 450, TCG/TTG, Ser/Leu (rpoB)"			
+SMc	rrs	Spies FS AAC 2008	427	G/C	427		Published 2008	Rio Grande do Sul	Brazil	Sequencing	530 loop, 912 region	RHSE	>31,5ug/ml	Resazurin microtiter assay	47/32	1/0	"gidB: CCT/CGT; L16R"			
+SMc	rrs	Brzostek A IntJ TubLungDis 2004	462	C/T	462		2000	88 patients with positive cultures from Poland's 2000 national survey	Poland	Sequencing	530 loop, 912 region	S	N.S	Proportion method	4/88	4/0	none			
+SMc	rrs	Meier A AAC 1994	492	C/T	492					Sequencing	Whole rrs	HS	N.S	Proportion method	3/38	1/0				
+SMc	rrs	Meier A AAC 1994	513	C/T	513					Sequencing	"505 bp gene fragment; complete S12 gene"	RHS	N.S	Proportion method	3/38	1/0				
+SMc	rrs	Honore N AAC 1995	513	ins C	513							N.S	N.S							
+SMc	rrs	Dobner P MolCellProbes  1997	514	A/C	514		1996	Germans, Eastern European immigrants in Germany, Sierra Leone	Germany, Sierra Leone	Sequencing	530 loop, 912 region	S	N.S		1/50	1/0	AAG/AGG, 43 Lys/Arg (rpsL)			
+SMc	rrs	Katsukawa C J Appl Micro 1997	514	A/T	514		1992-1994	172 clinical isolates from Japanese institutions	Japan	Sequencing	450-944	S	20-200ug/ml	Absolute concentration method	95/172	9/0				
+SMc	rrs	Dobner P MolCellProbes  1997	517	C/T	517		1996	Germans, Eastern European immigrants in Germany, Sierra Leone	Germany, Sierra Leone	Sequencing	530 loop, 912 region	S	N.S		1/50	1/0	none			
+SMc	rrs	Brzostek A IntJ TubLungDis 2004	628	G/C	628		2000	88 patients with positive cultures from Poland's 2000 national survey	Poland	Sequencing	530 loop, 912 region	S	N.S	Proportion method, BACTEC 460	1/88	1/0	none			
+SMc	rrs	Sreevatsan S AAC 1996	799	C/T	799		1995	139 strains of mtb from various geographical localities	USA	Sequencing	530 loop, 912 region	S	N.S	Proportion method, BACTEC 460	39814	1/0	"only NY isolate with both rrs and rpsL (AAG/AGG; K43-->R) mutations "			
+SMc	rrs	Cooksey RC, AAC 1996	866	C/G	866		1994	New Yorkers	USA	Sequencing	306 bp	RHS	10	Agar dilution method	45/367	1/0	none			
+SMc	rrs	Okamoto S MolMicro 2007 	888	G/A	888		Before 2000	132  Japanese TB patients (57 STR-res, 75 STR-suscept.)	Japan	Sequencing		R, H, S, E, K, PAS	20 ug/ml	Absolute concentration method	57/132	1/0 	A276C, T563G (gidB)			
+SMc	rrs	Honore N AAC 1994	905	C/A	905		1994	mtb strains from various sources	N.S.	PCR-SSCP	530 loop, 912 region	SH	>1280	Agar dilution method	39974	1/0	none			
+SMc	rrs	Honore N AAC 1994	905	C/G	905					PCR-SSCP	530 loop, 912 region	SHR	160	Agar dilution method	39974	1/0	none			
+SMc	rrs	Dobner P MolCellProbes  1997	906	A/G	906		1996	Germans, Eastern European immigrants in Germany, Sierra Leone	Germany, Sierra Leone	Sequencing	530 loop, 912 region	S	N.S		1/50	1/0	AAG/CAG, 88 Lys/Thr (rpsL)			
+SMc	rrs	Dobner P MolCellProbes  1997	907	A/T	907		1996	Germans, Eastern European immigrants in Germany, Sierra Leone	Germany, Sierra Leone	Sequencing	530 loop, 912 region	S	N.S		1/50	1/0	none			
+SMc	rrs	Katsukawa C J Appl Micro 1997	907	A/C	907		1992-1994	172 clinical isolates from Japanese institutions	Japan	Sequencing	450-944	S	20-200ug/ml	Absolute concentration method	95/172	1/0				
+SMc	rrs	Katsukawa C J Appl Micro 1997	908	A/G	908		1992-1994	172 clinical isolates from Japanese institutions	Japan	Sequencing	450-944	S	20-200ug/ml	Absolute concentration method	95/172	1/0				
+SMc	rrs	Katsukawa C J Appl Micro 1997	908	ins T	908		1992-1994	172 clinical isolates from Japanese institutions	Japan	Sequencing	450-944	S	20-200ug/ml	Absolute concentration method	95/172	1/0				
+SMc	rrs	Sekigushi J JCM 2007	1062	ins C	1062		2006	TB patients in Japan and Poland	Japan	Multiplex PCR	530 loop, 912 region	N.S	N.S	Proportion method, Rapid broth method	55/138	1/0	Lys121Lys (rpsL), silent mutation, not assoc w/ STR-res.			
+SMc	rrs	Ramaswamy SV J Med Micro 2004	1239	T/C	1239		1996-1998	patients from Jose E. Gonzalez Univ. Hosp	Mexico	Sequencing	Whole rrs	RHSE	N.S	Proportion method	39897	3/0	"315, AGC/ACC, Ser/Thr (katG); 435, GAC/GTC, Asp/Val (rpoB); 43, AAG/AGG, Lys/Arg (rpsL); 306, ATG/CTG, Met/Leu (embB)"			
+SM	rrs	Sekigushi J JCM 2007	1401	A/G	1400		2006	TB patients in Japan and Poland	Japan	Multiplex PCR	428-1737	N.S	N.S	Proportion method, Rapid broth method	55/138	1/0	Lys121Lys (rpsL), silent mutation, not assoc w/ STR-res.			
+																				
+																				
+																				
+																				
+																				
\ No newline at end of file
diff --git a/other/tbdr/tbdr_proc_high.txt b/other/tbdr/tbdr_proc_high.txt
new file mode 100644
index 0000000..e8b7f83
--- /dev/null
+++ b/other/tbdr/tbdr_proc_high.txt
@@ -0,0 +1,141 @@
+Isoniazid	
+	katG	S315N (AGC/AAC)	1011	403	608		9	0		2,2%	0,0%	
+	katG	S315T (AGC/ACA)	1011	403	608		21	0		5,2%	0,0%						
+	katG	S315I (AGC/ATC)	1011	403	608		6	0		1,5%	0,0%				
+	katG	S315R (AGC/AGA)	1011	403	608		0	0		0,0%	0,0%				
+	katG	katG deletion	1011	403	608		5	0		1,2%	0,0%				
+	katG	G279D (GGC/GAC)	1011	403	608		0	0		0,0%	0,0%				
+	kasA	G269S (GGT/AGT)	1011	403	608		36	87		8,9%	14,3%				
+	mabA, fabG1	-15 (C/T)	1011	403	608		31	0		7,7%	0,0%				
+	mabA, fabG1	-8 (T/A)	1011	403	608		3	0		0,7%	0,0%				
+	mabA, fabG1	-8 (T/C)	1011	403	608		1	0		0,2%	0,0%				
+	ahpC	-46 (G/A)	1011	403	608		14	11		3,5%	1,8%				
+	ahpC	-39 (C/T)	1011	403	608		4	11		1,0%	1,8%				
+	ahpC	I21T (ATC/ACC)	1011	403	608		2	0		0,5%	0,0%				
+	N/A	Other c	1011	403	608		84	43		20,8%	7,1%			c 15 isolates had 12 different other mutations in katG, 8 isolates had 2 different mutations in kasA, 14 isolates had 2 different mutations in ndh, 36 isolates had 14 different mutations in OxyR-ahpC, 11 isolates had 4 different mutations in mabA/fabG1.	
+	N/A	None detected d	1011	403	608		88	467		21,8%	76,8%			d 80/403 INH Res isolates contained more than one mutation	
+
+Rifampicin		
+	rpoB	Q513L (CAA/CTA)	290	272	18		0	0		0,0%	0,0%				
+	rpoB	D516V (GAC/GTC)	290	272	18		10	0		3,7%	0,0%			
+	rpoB	D516Y (GAC/TAC)	290	272	18		3	0		1,1%	0,0%				
+	rpoB	S522L (TCG/TTG)	290	272	18		2	0		0,7%	0,0%				
+	rpoB	H526Y (CAC/TAC)	290	272	18		10	0		3,7%	0,0%				
+	rpoB	H526D (CAC/GAC)	290	272	18		4	0		1,5%	0,0%				
+	rpoB	H526R (CAC/CGC)	290	272	18		1	0		0,4%	0,0%				
+	rpoB	H526L (CAC/CTC)	290	272	18		1	0		0,4%	0,0%				
+	rpoB	H526N (CAC/AAC) 	290	272	18		0	0		0,0%	0,0%				
+	rpoB	S531L (TCG/TTG)	290	272	18		176	0		64,7%	0,0%				
+	rpoB	S531W (TCG/TGG) 	290	272	18		2	0		0,7%	0,0%				
+	rpoB	L533P (CTG/CCG) 	290	272	18		5	0		1,8%	0,0%				
+	N/A	Other AB	290	272	18		7	0		2,6%	0,0%			AB 7 isolates had 4 different other mutations S512T, Q513G, S531C, S531N	
+	N/A	None detected	290	272	18		38	18		14,0%	100,0%				
+
+Fluoroquinolones
+	gyrA	A90V (GCG/GTG)	250	71	179		10	0		14,1%	0,0%
+	gyrA	S91P (TCG/CCG)	250	71	179		4	0		5,6%	0,0%
+	gyrA	D94G (GAC/GGC) AG	109	87	22		42	1		48,3%	4,5%			AG 10 isolates had both D94G and A74S mutations and 26 had both D94G and A90V mutations	
+	gyrA	D94N (GAC/AAC) AH	109	87	22		25	0		28,7%	0,0%			AH 7 isolates had both D94N and A90V mutations	
+	gyrA	D94A (GAC/GCC)	109	87	22		1	0		1,1%	0,0%
+	gyrA	D94Y (GAC/TAC)	109	87	22		3	0		3,4%	0,0%
+	gyrA	D94H (GAC/CAC)	109	87	22		0	0		0,0%	0,0%				
+	gyrA	P102H (CCC/CAC)	109	87	22		0	0		0,0%	0,0%
+	gyrA	A126R (GCG/AGG)	109	87	22		0	0		0,0%	0,0%
+	gyrB	N538D (AAC/GAC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A
+	N/A	Other	109	87	22		0	0		0,0%	0,0%
+	N/A	None detected	109	87	22		1	18		1,1%	81,8%
+
+Streptomycin
+	rpsL	K43R (AAG/AGG)	215	115	100		81	0		70,4%	0,0%	"DHPLC analysis and sequencing.
+	rpsL	K88R (AAG/AGG)	215	115	100		7	0		6,1%	0,0%				
+	rpsL	K88Q (AAG/CAG)	215	115	100		0	0		0,0%	0,0%
+	rrs	492 (C/T)	215	115	100		0	0		0,0%	0,0%
+	rrs	513 (C/T)	215	115	100		0	0		0,0%	0,0%
+	rrs	514 (A/T)	215	115	100		0	0		0,0%	0,0%
+	rrs	514 (A/C)	215	115	100		8	0		7,0%	0,0%	
+	rrs	517 (C/T)	215	115	100		1	0		0,9%	0,0%				
+	rrs	907 (A/C)	215	115	100		1	0		0,9%	0,0%
+	N/A	Other AQ	215	115	100		8	0		7,0%	0,0%			AQ 8 isolates had 6 different other mutations. 1 isolate had both rpsL K43R, rrs 462 (T/G) and rrs 645 del A mutations. 1  had both rpsL K43R and rpsL G71S (GGC/AGC) mutations. 1 had both  rpsL K43R and rrs 1400 (A/G) mutations. 2 had both rpsL K43R and rrs 1401 (C/T) mutations. 2 had both rrs 513 (A/C) and rrs 645 del A mutations.	
+	N/A	None detected	215	115	100		17	100		14,8%	100,0%
+
+Ethambutol
+	embB	M306I (ATG/ATC)	171	133	38		2	0		1,5%	0,0%
+	embB	M306I (ATG/ATT)	171	133	38		5	0		3,8%	0,0%
+	embB	M306L (ATG/CTG)	171	133	38		3	0		2,3%	0,0%
+	embB	M306V (ATG/GTG)	171	133	38		43	0		32,3%	0,0%
+	embB	G406D  (GGC/GAC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A
+	embB	G406S (GGC/AGC)	N/A	N/A	N/A		N/A	N/A		N/A	N/A
+	embB	Q497R (CAG/CGG)	N/A	N/A	N/A		N/A	N/A		N/A	N/A
+	N/A	Other AY	171	133	38		3	0		2,3%	0,0%			AY 3 isolates had 3 different other mutations, Y319C (TAT/TGT), Y319C (TAT/GAT) and Y333H (TAT/CAT).	
+	N/A	None detected	171	133	38		70	38		52,6%	100,0%
+	
+Pyrazinamide
+	pncA	-11 (A/G)	115	68	46		0	0		0,0%	0,0%
+	pncA	V7G (GTC/GGC)	163	109	54		0	0		0,0%	0,0%
+	pncA	Q10P (CAG/CCG)	163	109	54		0	0		0,0%	0,0%
+	pncA	D12A (GAC/GCC)	163	109	54		1	0		0,9%	0,0%				
+	pncA	C14R (TGC/CGC)	163	109	54		0	0		0,0%	0,0%				
+	pncA	G17D (GGC/GAC)	163	109	54		0	0		0,0%	0,0%				
+	pncA	L19P (CTG/CCG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	V21G (GTA/GGA)	163	109	54		0	0		0,0%	0,0%				
+	pncA	nt 70 del G	163	109	54		0	0		0,0%	0,0%				
+	pncA	nt 71 del G	163	109	54		0	0		0,0%	0,0%				
+	pncA	nt 76 ins GC	163	109	54		0	0		0,0%	0,0%				
+	pncA	Y34S (TAC/TCC)	163	109	54		0	0		0,0%	0,0%				
+	pncA	L35R (CTG/CGG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	Y41STOP (TAC/TAG)	163	109	54		2	0		1,8%	0,0%				
+	pncA	nt 130 ins GG	163	109	54		0	0		0,0%	0,0%				
+	pncA	A46V (GCA/GTA)	163	109	54		0	0		0,0%	0,0%				
+	pncA	T47A (ACC/GCC)	163	109	54		0	0		0,0%	0,0%				
+	pncA	H51R (CAC/CGC)	163	109	54		13	0		11,9%	0,0%				
+	pncA	H51P (CAC/CCC)	163	109	54		0	0		0,0%	0,0%				
+	pncA	P54T (CCG/ACG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	H57Y (CAC/TAC)	163	109	54		0	0		0,0%	0,0%				
+	pncA	nt 172 del T	163	109	54		0	0		0,0%	0,0%				
+	pncA	nt 182 ins 5bp	163	109	54		0	0		0,0%	0,0%				
+	pncA	D63G (GAC/GGC)	163	109	54		0	0		0,0%	0,0%				
+	pncA	S66P (TCG/CCG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	S67P (TCG/CCG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	W68R (TGG/CGG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	W68L (TGG/TTG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	W68G (TGG/GGG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	H71R (CAT/CGT)	163	109	54		0	0		0,0%	0,0%				
+	pncA	C72R (TGC/CGC)	163	109	54		0	0		0,0%	0,0%				
+	pncA	T76P (ACT/CCT)	163	109	54		1	0		0,9%	0,0%				
+	pncA	H82R (CAT/CGT)	163	109	54		0	0		0,0%	0,0%				
+	pncA	L85P (CTG/CCG)	163	109	54		2	0		1,8%	0,0%				
+	pncA	K96N (AAG/AAT)	163	109	54		0	0		0,0%	0,0%				
+	pncA	G97S (GGT/AGT)	163	109	54		0	0		0,0%	0,0%				
+	pncA	Y99STOP (TAC/TAG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	A102V (GCG/GTG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	Y103STOP (TAC/TAG)	163	109	54		8	0		7,3%	0,0%				
+	pncA	S104R (AGC/AGG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	nt 315 ins G	163	109	54		0	0		0,0%	0,0%				
+	pncA	T114P (ACG/CCG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	L116R (CTG/CGG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	R121P (CGG/CCG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	V128G (GTC/GGC)	163	109	54		0	0		0,0%	0,0%				
+	pncA	nt 388 ins AGGTCGATG	163	109	54		0	0		0,0%	0,0%				
+	pncA	nt 389 ins GG	163	109	54		0	0		0,0%	0,0%				
+	pncA	V130G (GTG/GGG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	A134V (GCC/GTC)	163	109	54		0	0		0,0%	0,0%				
+	pncA	H137R (CAT/CGT)	163	109	54		0	0		0,0%	0,0%				
+	pncA	C138Y (TGT/TAT)	163	109	54		0	0		0,0%	0,0%				
+	pncA	V139M (GTG/ATG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	V139L (GTG/CTG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	V139A (GTG/GCG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	R140S (CGC/AGC)	163	109	54		0	0		0,0%	0,0%				
+	pncA	Q141P (CAG/CCG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	T142K (ACG/AAG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	nt 446 del 8bp	163	109	54		0	0		0,0%	0,0%				
+	pncA	V155G (GTG/GGG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	L159P (GTC/CCG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	T160P (ACA/CCA)	163	109	54		0	0		0,0%	0,0%				
+	pncA	A161P (GCG/CCG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	G162D (GGT/GAT)	163	109	54		0	0		0,0%	0,0%				
+	pncA	A171E (GCG/GAG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	L172P (CTG/CCG)	163	109	54		0	0		0,0%	0,0%				
+	pncA	S185T (AGC/ACC)	163	109	54		0	0		0,0%	0,0%				
+	N/A	Other	163	109	54		74	2		67,9%	3,7%				
+	N/A	None detected	163	109	54		7	53		6,4%	98,1%				
+															
\ No newline at end of file
diff --git a/other/visR/backup/Xtr.png b/other/visR/backup/Xtr.png
new file mode 100644
index 0000000..34089f3
Binary files /dev/null and b/other/visR/backup/Xtr.png differ
diff --git a/other/visR/backup/__init__.py b/other/visR/backup/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/other/visR/backup/chimp.png b/other/visR/backup/chimp.png
new file mode 100644
index 0000000..34089f3
Binary files /dev/null and b/other/visR/backup/chimp.png differ
diff --git a/other/visR/backup/colored-predictions.py b/other/visR/backup/colored-predictions.py
new file mode 100644
index 0000000..55f871e
--- /dev/null
+++ b/other/visR/backup/colored-predictions.py
@@ -0,0 +1,198 @@
+import sys
+import os
+import copy
+
+from multiprocessing import Pool
+from ressoft.utils.file_utils import ensure_dir
+try:
+    from queue import Queue
+except ImportError:
+    from Queue import Queue
+
+sys.path.append("../../")
+from ressoft.utils.pvalue_utlis import hyperTestPvalue
+
+from ressoft.utils.stats_utils import *
+from ressoft.utils.generator import choose
+from ressoft.utils.pred_utils import *
+from ressoft.utils.input_utils import *
+from ressoft.utils.names_utils import *
+from ressoft.utils.output import *
+
+def readParameters(param_tab):
+    parameters = {}
+    for param_el in param_tab:
+        tokens = param_el.split("=")
+        if len(tokens)==2:
+            key = tokens[0]
+            value = tokens[1]
+            parameters[key] = value
+        
+    return parameters
+
+def coloredPredictions2(res_profiles, output_format_fn):
+    output_format_fh = open(output_format_fn, "w")
+    
+    output_format_fh.write('<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en">\n')
+    output_format_fh.write("<head>\n")
+    output_format_fh.write('<script src="sorttable.js" type="text/javascript"> </script>\n')
+    output_format_fh.write('<script src="jquery-1.7.1.js" type="text/javascript"> </script>\n')
+    output_format_fh.write('<script type="text/javascript">\n')
+    output_format_fh.write('$(document).ready(function(){\n')
+    output_format_fh.write('init();\n')
+    output_format_fh.write('});\n')
+    output_format_fh.write('</script>\n')
+    output_format_fh.write('<link rel="stylesheet" type="text/css" href="vert_text.css" />\n')
+    output_format_fh.write("</head>\n")
+    output_format_fh.write("<body>\n")
+    output_format_fh.write('<table>\n')
+    output_format_fh.write('<th> </th>')
+
+    for res_profile in res_profiles:
+        drug_name = res_profile.drug_name
+        output_format_fh.write('<th style="width:20px"><div class="verticalText">'+drug_name+'</div></th>')
+    
+    for strain_index in range(0, strains.count(), 1):
+        strain_id = strains.getStrain(strain_index)
+        print(strain_id)
+        #strain_id = strains.strain_ids[strain_index]
+        strain_index = strains.getPosition(strain_id)
+        output_format_fh.write('<tr>')
+        output_format_fh.write('<td>'+strain_id+"</td>")
+        for res_profile in res_profiles:
+            if strain_index in res_profile.getResistant():
+                if strain_index in res_profile.predicted_strains:
+                    output_format_fh.write('<td style="background-color: rgb(255,170,170); width:20px">'+'r'+'</td>')
+                else:
+                    output_format_fh.write('<td style="background-color: rgb(255,0,0); width:20px">'+'R'+'</td>')
+            elif strain_index in res_profile.getSusceptible():
+                if strain_index in res_profile.predicted_strains:
+                    output_format_fh.write('<td style="background-color: rgb(170,255,170); width:20px">'+'s'+'</td>')
+                else:
+                    output_format_fh.write('<td style="background-color: rgb(0,255,0); width:20px">'+'S'+'</td>')                
+            else:
+                output_format_fh.write('<td style="width:20px">'+'?'+'</td>')
+    
+        output_format_fh.write('</tr>')    
+
+    output_format_fh.write('</table>\n')
+    output_format_fh.write("</body>\n")
+    output_format_fh.write("</html>\n")
+    
+    output_format_fh.close()
+
+
+def coloredPredictions(res_profiles, output_format_fn):
+    output_format_fh = open(output_format_fn, "w")
+    
+    output_format_fh.write('<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en">\n')
+    output_format_fh.write("<head>\n")
+    output_format_fh.write('<script src="sorttable.js" type="text/javascript"> </script>\n')
+    output_format_fh.write('<script src="jquery-1.7.1.js" type="text/javascript"> </script>\n')
+    output_format_fh.write('<script type="text/javascript">\n')
+    output_format_fh.write('$(document).ready(function(){\n')
+    output_format_fh.write('init();\n')
+    output_format_fh.write('});\n')
+    output_format_fh.write('</script>\n')
+    output_format_fh.write('<link rel="stylesheet" type="text/css" href="vert_text.css" />\n')
+    output_format_fh.write("</head>\n")
+    output_format_fh.write("<body>\n")
+    output_format_fh.write('<table border-collapse=collapse;>\n')
+    #output_format_fh.write('<tr>\n')
+    #output_format_fh.write('<img src="tree.png" style="width=80px; height:600px">\n')
+    
+    
+    #output_format_fh.write('<td style="width:100px; border-bottom-color: black; border-left-color:black; border-top-color:black;">\n')
+    output_format_fh.write('<td style="width:100px;">\n')
+        #output_format_fh.write('</td>\n')
+#    output_format_fh.write('<table>\n')
+#    output_format_fh.write('<th style="height:100px">\n')
+#    output_format_fh.write('</th>\n')
+#    output_format_fh.write('<tr>\n')
+    #output_format_fh.write('</tr>\n')
+    #output_format_fh.write('</table>\n')
+    output_format_fh.write('<img src="tree.png" style="margin-top:120px; width=80px; height:1700px">\n')
+    output_format_fh.write('</td>\n')
+    output_format_fh.write('<td>\n')
+    output_format_fh.write('<table  border-collapse=collapse;>\n')
+    output_format_fh.write('<tr>\n')
+    #output_format_fh.write('<td style="width:150px; border-top-color:white;">Phylo</td>\n')
+    output_format_fh.write('<td style="width:150px;">Strain:</td>\n')
+
+    for res_profile in res_profiles:
+        drug_name = res_profile.drug_name
+        output_format_fh.write('<th style="width:20px"><div class="verticalText">'+drug_name+'</div></th>')
+    
+    print("LEN", len(strains.strain_ids))
+    for strain_index in range(0, len(strains.strain_ids), 1):
+        
+        strain_id = strains.getStrain(strain_index)
+        print(strain_id)
+        #strain_id = strains.strain_ids[strain_index]
+        strain_index = strains.getPosition(strain_id)
+        output_format_fh.write('<tr>')
+        output_format_fh.write('<td>'+strain_id+"</td>")
+        for res_profile in res_profiles:
+            if strain_index in res_profile.getResistant():
+                if strain_index in res_profile.predicted_strains:
+                    output_format_fh.write('<td style="background-color: rgb(255,170,170); width:20px">'+'r'+'</td>')
+                else:
+                    output_format_fh.write('<td style="background-color: rgb(255,0,0); width:20px">'+'R'+'</td>')
+            elif strain_index in res_profile.getSusceptible():
+                if strain_index in res_profile.predicted_strains:
+                    output_format_fh.write('<td style="background-color: rgb(170,255,170); width:20px">'+'s'+'</td>')
+                else:
+                    output_format_fh.write('<td style="background-color: rgb(0,255,0); width:20px">'+'S'+'</td>')                
+            else:
+                output_format_fh.write('<td style="width:20px">'+'?'+'</td>')
+    
+        output_format_fh.write('</tr>')    
+    #for drug_name in res_profiles:
+    #    drug_res_profile = res_profiles[drug_name]
+    #    
+    #    
+    #    output_format_fh.write(drug_name)
+    output_format_fh.write('</td>\n')
+    output_format_fh.write('</tr>\n')
+    output_format_fh.write('</table>\n')
+    output_format_fh.write("</body>\n")
+    output_format_fh.write("</html>\n")
+    
+    output_format_fh.close()
+
+
+    
+
+species = "mtb80"
+input_dir = os.path.abspath("../../../data_input/"+species+"_res/")+"/"
+output_dir = os.path.abspath("../../../data_output/"+species+"_html/")+"/"
+
+ensure_dir(output_dir)
+
+input_fh = open(input_dir + "strains-all.txt")
+strains = readStrains(input_fh)
+input_fh.close()
+
+input_fh = open(input_dir + "res_profiles_ret.txt")
+res_profiles = readResistanceProfiles(input_fh, strains)
+input_fh.close()
+
+print(input_dir)
+
+input_fh = open(input_dir + "pred_res_profiles.txt")
+pred_res_profiles = readResistanceProfiles(input_fh, strains)
+input_fh.close()
+
+
+#strains_ord_fh = open(input_dir + "names-strains-ord.txt")
+#strains_ord = readStrainNamesOrd(strains_ord_fh)
+#strains_ord_fh.close()
+    
+    
+output_format_fn = output_dir + "colored_res_profiles2.html"
+coloredPredictions(res_profiles, output_format_fn)
+pred_output_format_fn = output_dir + "colored_pred_res_profiles2.html"
+coloredPredictions(pred_res_profiles, pred_output_format_fn)
+        
+        
+        
\ No newline at end of file
diff --git a/other/visR/backup/dog.png b/other/visR/backup/dog.png
new file mode 100644
index 0000000..34089f3
Binary files /dev/null and b/other/visR/backup/dog.png differ
diff --git a/other/visR/backup/ete_test.py b/other/visR/backup/ete_test.py
new file mode 100644
index 0000000..6c83dac
--- /dev/null
+++ b/other/visR/backup/ete_test.py
@@ -0,0 +1,140 @@
+# Import Tree instance and faces module
+from ete2 import Tree
+from ete2 import PhyloTree
+from ete2.treeview.main import TreeStyle, NodeStyle, TreeStyle
+from ete2 import faces, layouts
+from ete2 import Tree, faces, TreeStyle
+
+# Loads an example tree
+nw = """
+(((Dre:0.008339,Dme:0.300613)1.000000:0.596401,
+(Cfa:0.640858,Hsa:0.753230)1.000000:0.182035)1.000000:0.106234,
+((Dre:0.271621,Cfa:0.046042)1.000000:0.953250,
+(Hsa:0.061813,Mms:0.110769)1.000000:0.204419)1.000000:0.973467);
+"""
+t = Tree(nw)
+
+# You can create any random tree containing the same leaf names, and
+# layout will work equally
+#
+# t = Tree()
+# Creates a random tree with 8 leaves using a given set of names
+# t.populate(8, ["Dme", "Dre", "Hsa", "Ptr", "Cfa", "Mms"])
+
+# Set the path in which images are located
+img_path = "./"
+# Create faces based on external images
+humanFace = faces.ImgFace(img_path+"human.png")
+mouseFace = faces.ImgFace(img_path+"mouse.png")
+dogFace = faces.ImgFace(img_path+"dog.png")
+chimpFace = faces.ImgFace(img_path+"chimp.png")
+fishFace = faces.ImgFace(img_path+"fish.png")
+flyFace = faces.ImgFace(img_path+"fly.png")
+
+# Create a faces ready to read the name attribute of nodes
+#nameFace = faces.TextFace(open("text").readline().strip(), fsize=20, fgcolor="#009000")
+nameFace = faces.AttrFace("name", fsize=20, fgcolor="#009000")
+
+# Create a conversion between leaf names and real names
+code2name = {
+        "Dre":"Drosophila melanogaster",
+        "Dme":"Danio rerio",
+        "Hsa":"Homo sapiens",
+        "Ptr":"Pan troglodytes",
+        "Mms":"Mus musculus",
+        "Cfa":"Canis familiaris"
+        }
+
+# Creates a dictionary with the descriptions of each leaf name
+code2desc = {
+        "Dre":"""The zebrafish, also known as Danio rerio,
+is a tropical freshwater fish belonging to the
+minnow family (Cyprinidae).""",
+        "Dme":"""True flies are insects of the order Diptera,
+possessing a single pair of wings on the
+mesothorax and a pair of halteres, derived from
+the hind wings, on the metathorax""",
+        "Hsa":"""A human is a member of a species
+of bipedal primates in the family Hominidae.""",
+        "Ptr":"""Chimpanzee, sometimes colloquially
+chimp, is the common name for the
+two extant species of ape in the genus Pan.""",
+        "Mms":"""A mouse is a small mammal belonging to the
+order of rodents.""",
+        "Cfa": """The dog (Canis lupus familiaris) is a
+domesticated subspecies of the Gray Wolf,
+a member of the Canidae family of the
+orderCarnivora."""
+        }
+
+# Creates my own layout function. I will use all previously created
+# faces and will set different node styles depending on the type of
+# node.
+def mylayout(node):
+    # If node is a leaf, add the nodes name and a its scientific
+    # name
+    if node.is_leaf():
+        # Add an static face that handles the node name
+        faces.add_face_to_node(nameFace, node, column=0)
+        # We can also create faces on the fly
+        longNameFace = faces.TextFace(node.name)
+        faces.add_face_to_node(longNameFace, node, column=0)
+
+        # text faces support multiline. We add a text face
+        # with the whole description of each leaf.
+        descFace = faces.TextFace(node.name, fsize=10)
+        descFace.margin_top = 10
+        descFace.margin_bottom = 10
+        descFace.border.margin = 1
+
+        # Note that this faces is added in "aligned" mode
+        faces.add_face_to_node(descFace, node, column=0, aligned=True)
+
+        # Sets the style of leaf nodes
+        node.img_style["size"] = 12
+        node.img_style["shape"] = "circle"
+    #If node is an internal node
+    else:
+        # Sets the style of internal nodes
+        pass
+#        node.img_style["size"] = 6
+#        node.img_style["shape"] = "circle"
+#        node.img_style["fgcolor"] = "#000000"
+
+    # If an internal node contains more than 4 leaves, add the
+    # images of the represented species sorted in columns of 2
+    # images max.
+    if len(node)>=4:
+        col = 0
+        for i, name in enumerate(set(node.get_leaf_names())):
+            if i>0 and i%2 == 0:
+                col += 1
+            # Add the corresponding face to the node
+            if name.startswith("Dme"):
+                faces.add_face_to_node(flyFace, node, column=col)
+            elif name.startswith("Dre"):
+                faces.add_face_to_node(fishFace, node, column=col)
+            elif name.startswith("Mms"):
+                faces.add_face_to_node(mouseFace, node, column=col)
+            elif name.startswith("Ptr"):
+                faces.add_face_to_node(chimpFace, node, column=col)
+            elif name.startswith("Hsa"):
+                faces.add_face_to_node(humanFace, node, column=col)
+            elif name.startswith("Cfa"):
+                faces.add_face_to_node(dogFace, node, column=col)
+
+            # Modifies this node's style
+            node.img_style["size"] = 16
+            node.img_style["shape"] = "sphere"
+            node.img_style["fgcolor"] = "#AA0000"
+
+    # If leaf is "Hsa" (homo sapiens), highlight it using a
+    # different background.
+    #if node.is_leaf() and node.name.startswith("Hsa"):
+    #    node.img_style["bgcolor"] = "#9db0cf"
+
+# And, finally, Visualize the tree using my own layout function
+ts = TreeStyle()
+ts.layout_fn = mylayout
+t.render("img_faces.png", w=600, tree_style = ts)
+t.show(tree_style = ts)
diff --git a/other/visR/backup/fish.png b/other/visR/backup/fish.png
new file mode 100644
index 0000000..34089f3
Binary files /dev/null and b/other/visR/backup/fish.png differ
diff --git a/other/visR/backup/fly.png b/other/visR/backup/fly.png
new file mode 100644
index 0000000..34089f3
Binary files /dev/null and b/other/visR/backup/fly.png differ
diff --git a/other/visR/backup/generate-excel-tables-scored-genes.py b/other/visR/backup/generate-excel-tables-scored-genes.py
new file mode 100644
index 0000000..197c315
--- /dev/null
+++ b/other/visR/backup/generate-excel-tables-scored-genes.py
@@ -0,0 +1,232 @@
+import sys
+import os
+import copy
+sys.path.append("../../")
+from ressoft.utils.pvalue_utlis import hyperTestPvalue
+from multiprocessing import Pool
+
+
+
+from ressoft.utils.stats_utils import *
+from ressoft.utils.generator import choose
+from ressoft.utils.pred_utils import *
+from ressoft.utils.input_utils import *
+from ressoft.utils.names_utils import *
+from ressoft.utils.output import *
+from ressoft.utils.file_utils import *
+
+def readParameters(param_tab):
+    parameters = {}
+    for param_el in param_tab:
+        tokens = param_el.split("=")
+        if len(tokens)==2:
+            key = tokens[0]
+            value = tokens[1]
+            parameters[key] = value
+        
+    return parameters
+
+parameters = readParameters(sys.argv)
+
+print(parameters)
+
+ 
+def filterTopGeneProfiles(gene_profiles, n):
+    subset = set([])
+    
+    for gene_profile in gene_profiles:
+        if gene_profile.norm_wsupport > 0.0:
+            subset.add(gene_profile)
+    subset_sorted = sorted(subset, key=lambda gp:(-gp.wsupport, -gp.cover_support))    
+    return subset_sorted[:n]
+            
+def filterGeneProfilesByPvalue(gene_profiles, drug_res_genes, target_genes):
+    subset = set([])
+    for gene_profile in gene_profiles[:10]:
+        subset.add(gene_profile)
+    subset_sorted = sorted(subset, key=lambda gp:(gp.pvalue_wsupport, -gp.cover_support))
+    return subset_sorted[:10]
+            
+    return None
+
+
+def loadGeneFunctions(input_fh):
+    gene_ids = {}
+    for line in input_fh.readlines():
+        if not line:
+            continue
+        line = line.strip()
+        tokens = line.split("\t")
+        if len(tokens) <= 1:
+            continue
+        gene_id = tokens[0]
+        function_id = tokens[3].lower()
+        function_id = function_id.replace("_", "\_")
+        if not gene_id in gene_ids:
+            gene_ids[gene_id] = function_id
+    return gene_ids
+
+def decorateScors(parameters):
+    species = parameters["SPECIES"] 
+    details = parameters["DETAILS"]
+    subset = parameters["SUBSET"]
+    hide = int(parameters["HIDE"]) 
+    theta = float(parameters["THETA"])
+    zeta = float(parameters["ZETA"])
+    tscore_type = parameters["TSCORE_TYPE"]
+    beta = int(parameters["BETA"])  
+    pred = parameters["PRED"]
+    dist = int(parameters["DIST"])
+    type_param = parameters["TYPE"]
+    exp_prefix = parameters["EXP_PREFIX"]
+    grouping_type = parameters["GROUPING"] 
+    supp_type = parameters["SUPP_TYPE"]
+    drug_name = parameters["DRUG_NAME"]
+    m_type = parameters["TYPE"]     
+    
+    input_dir = os.path.abspath("../../../data_input/"+species+"_res/")+"/"
+    output_dir = os.path.abspath("../../../data_output/"+species+"_out/")+"/"
+    format_dir = os.path.abspath("../../../data_output/"+species+"_format/")+"/"    
+    
+    input_fh = open(input_dir + "strains-all.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+    
+    diffTime("Input reading...")
+    
+    input_fh = open(input_dir + "pred_res_profiles.txt")
+    res_profiles = readResistanceProfiles(input_fh, strains, map=True)
+    input_fh.close()
+    
+    cluster_fh = open(input_dir + "conn_comp-det-"+str(0)+".txt")
+    clusters, id_cluster_map = readClusters(cluster_fh, strains)
+    cluster_fh.close()
+    
+    strains_ord_fh = open(input_dir + "names-strains-ord.txt")
+    strains_ord = readStrainNamesOrd(strains_ord_fh)
+    strains_ord_fh.close()
+    
+    if os.path.exists(input_dir + "cc_mutability.txt"):
+        mutability_fh = open(input_dir + "cc_mutability.txt")
+        mutabilities = readMutabilities(mutability_fh, clusters, id_cluster_map, strains_ord)
+        mutability_fh.close()
+    else:
+        mutabilities = None
+    
+    if os.path.exists(input_dir + "gene_mapped_functions.txt"):
+        input_fh = open(input_dir + "gene_mapped_functions.txt")
+        gene_functions = loadGeneFunctions(input_fh)
+        input_fh.close()
+    else:
+        gene_functions = None
+
+    diffTime(drug_name)
+    print(res_profiles)
+    drug_res_profile = copy.deepcopy(res_profiles[drug_name])
+    drug_name = drug_res_profile.drug_name
+
+    input_res_fn = output_dir +"/det/"+str(exp_prefix)+"-"+str(hide)+"-"+str(dist)+"-"+grouping_type+"-"+details+"-"+subset+"-"+m_type+"-"+pred+"-"+str(beta)+"-"+str(theta)+"-"+str(zeta)+"-"+str(tscore_type)+"-"+drug_name+".txt"
+    print("HERE", input_res_fn)
+    if not os.path.exists(input_res_fn):
+        print("HERE2")
+        return None
+
+    input_res_fh = open(input_res_fn)
+    output_res_fn = format_dir +"/html/"+str(exp_prefix)+"-"+str(hide)+"-"+str(dist)+"-"+grouping_type+"-"+details+"-"+subset+"-"+m_type+"-"+pred+"-"+str(beta)+"-"+str(theta)+"-"+str(zeta)+"-"+str(tscore_type)+"-"+drug_name+".html"
+    output_fh = open(output_res_fn, "w")            
+
+    hidden_strains, gene_profiles, gene_targets, drug_res_genes = readFeaturesOne(drug_name, strains, input_res_fh)
+
+    genes_to_show = filterTopGeneProfiles(gene_profiles, 500)
+    printHtml(genes_to_show, drug_name, strains, output_fh, show_profiles=True, hidden_res_profile=drug_res_profile, drug_res_genes=drug_res_genes, drug_targets=gene_targets, gene_functions=gene_functions, type=type, mutabilities=mutabilities)
+    input_res_fh.close()
+
+    output_fh.close()
+    return None
+
+
+
+if __name__ == '__main__':            
+    parameters = readParameters(sys.argv)
+    if "SPECIES" in parameters and not parameters["SPECIES"] in ["mtb","sta"]:
+        species = parameters["SPECIES"]
+    else:
+        species = "mtb80"
+    #species = "mtb80"
+        
+    if "W" in parameters:
+        WORKERS = int(parameters["W"])
+    else:
+        WORKERS = 8
+
+    input_dir = os.path.abspath("../../../data_input/"+species+"_res/")+"/"
+    output_dir = os.path.abspath("../../../data_output/"+species+"_out/")+"/"
+    format_dir = os.path.abspath("../../../data_output/"+species+"_format/")+"/"
+    ensure_dir(format_dir)
+    ensure_dir(format_dir +"/html/")
+    
+    details_param = "S"
+    hide_param = 0
+    dist_params = ["0"]
+    exp_prefix = "FINAL3"
+    grouping_param = "G"
+    subset_param = "N"
+    pred_params = ["A","B"]
+    theta_params = ["0.2","0.5","0.8"]
+    type_params = ["G","S"]
+    zeta_params = ["0.0"]
+    tscore_params = ["P"]
+
+    TASKS = []
+    TASK = {}
+
+    input_fh = open(input_dir + "res_profiles_ret.txt")
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    print(drug_names)
+
+    for theta_param in theta_params:
+        for tscore_param in  tscore_params:
+            for zeta_param in zeta_params:
+                for dist_param in dist_params:
+                    for type_param in type_params:
+                        if type_param == "G" and dist_param == "20":
+                            continue
+                        for pred_param in pred_params:
+                            for beta_param in range(-1, 0, 1):
+                                for supp_type_param in ["wsupport", "support", "or", "tscore", "gene_tscore"]:
+                                    if supp_type_param != "tscore" and theta_param != "0.5":
+                                        continue  
+                                    for drug_name in drug_names:
+                                        TASK["SPECIES"] = species
+                                        TASK["PHASE"] = str(0)
+                                        TASK["DETAILS"] = str(details_param)
+                                        TASK["HIDE"] = str(hide_param)
+                                        TASK["DIST"] = str(dist_param)
+                                        TASK["GROUPING"] = str(grouping_param)
+                                        TASK["EXP_PREFIX"] = exp_prefix 
+                                        TASK["TYPE"] = type_param
+                                        TASK["PRED"] = pred_param
+                                        TASK["BETA"] = beta_param
+                                        TASK["THETA"] = theta_param  
+                                        TASK["ZETA"] = zeta_param  
+                                        TASK["TSCORE_TYPE"] = tscore_param
+                                        TASK["SUPP_TYPE"] = supp_type_param
+                                        TASK["SUBSET"] = subset_param
+                                        TASK["DRUG_NAME"] = drug_name
+                                        
+                                        TASKS.append(TASK.copy())
+                            
+    for TASK in TASKS:
+        print(TASK)
+    if WORKERS > 1:              
+        pool = Pool(processes=WORKERS)   
+        for r in pool.imap(decorateScors, TASKS):
+            print(r)
+    else:
+        for T in TASKS:
+            decorateScors(T)
+        
+    print("END")
+    
+
diff --git a/other/visR/backup/img_faces.png b/other/visR/backup/img_faces.png
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diff --git a/other/visR/backup/mouse.png b/other/visR/backup/mouse.png
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index 0000000..34089f3
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diff --git a/other/visR/backup/out.pdf b/other/visR/backup/out.pdf
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index 0000000..7221ce4
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diff --git a/other/visR/backup/save-tree-mutations_old.py b/other/visR/backup/save-tree-mutations_old.py
new file mode 100644
index 0000000..2b9be1f
--- /dev/null
+++ b/other/visR/backup/save-tree-mutations_old.py
@@ -0,0 +1,433 @@
+import sys
+import os
+import copy
+import random
+from multiprocessing import Pool
+from ete2 import Tree
+from ete2 import PhyloTree
+from ete2.treeview.main import TreeStyle, NodeStyle, TreeStyle
+from ete2 import faces, layouts
+
+sys.path.append("../../")
+
+from soft.utils.camber_params_utils import *
+from ressoft.utils.file_utils import ensure_dir
+from ressoft.utils.stats_utils import *
+from ressoft.utils.generator import choose
+from ressoft.utils.pred_utils import *
+from ressoft.utils.input_utils import *
+from ressoft.utils.names_utils import readClusters, readClusterNames
+
+
+def calcResistantNodeLeaves(phylo_tree):
+    mutated_nodes = set([])
+    mutated_node_leaves = {}
+    queue = deque([])
+    for node in phylo_tree.nodes.values():
+        node.visited = 0
+
+    for i in phylo_tree.leaf_ids:
+        node = phylo_tree.nodes[i]
+        queue.append(node.parent)
+                
+    while queue:
+        node = queue.popleft()
+        if node == None:
+            continue
+        node.visited += 1
+        if node.visited < len(node.children):
+            continue
+        i = node.node_id
+        
+        children_list = list(node.children)
+        node_mut = node.complete_res_state
+
+        for j in range(len(children_list)):    
+            node_j = children_list[j]  
+                        
+            node_j_mut = node_j.complete_res_state
+            
+            if node_j_mut == 'R' and node_mut == 'S':
+                mutated_nodes.add(node_j)
+        queue.append(node.parent)
+    
+    for node in mutated_nodes:
+        mutated_node_leaves[node.node_id] = node.getLeaves()
+    
+    return mutated_node_leaves
+
+def calcMutatedNodeLeaves(phylo_tree):
+    mutated_nodes = set([])
+    mutated_node_leaves = {}
+    queue = deque([])
+    for node in phylo_tree.nodes.values():
+        node.visited = 0
+
+    for i in phylo_tree.leaf_ids:
+        node = phylo_tree.nodes[i]
+        queue.append(node.parent)
+                
+    while queue:
+        node = queue.popleft()
+        if node == None:
+            continue
+        node.visited += 1
+        if node.visited < len(node.children):
+            continue
+        i = node.node_id
+        
+        children_list = list(node.children)
+        node_mut = node.complete_mut_state
+
+        for j in range(len(children_list)):    
+            node_j = children_list[j]  
+                        
+            node_j_mut = node_j.complete_mut_state
+            
+            if node_j_mut == '1' and node_mut == '0':
+                mutated_nodes.add(node_j)
+        queue.append(node.parent)
+    
+    for node in mutated_nodes:
+        mutated_node_leaves[node.node_id] = node.getLeaves()
+    
+    return mutated_node_leaves
+
+
+def scoreMutations(drug_res_profile, drug_name, drug_targets, drug_res_genes, tree, all_mutations, gene_presence, strains, output_format_fh=None, parameters=None):
+    dataset = parameters["D"] 
+    details = parameters["DETAILS"]
+    subset = parameters["SUBSET"]
+    hide = int(parameters["HIDE"]) 
+    beta = int(parameters["BETA"]) 
+    pred = parameters["PRED"]
+    theta = float(parameters["THETA"])
+    dist = int(parameters["DIST"])
+    zeta = float(parameters["ZETA"])
+    tscore_type = parameters["TSCORE_TYPE"]
+    exp_prefix = parameters["EXP_PREFIX"]
+    grouping_type = parameters["GROUPING"] 
+    m_type = parameters["TYPE"]
+         
+    dataset_dir = os.path.abspath("../camber-pred/datasets/"+dataset)+"/"
+
+    if beta == -1:
+        beta_str = str("%.2f" % float(len(drug_res_profile.getResistant())/float(len(drug_res_profile.getSusceptible()))))
+        beta = float(beta_str)
+
+    tree.setObservedResProfile(drug_res_profile.full_profile)
+    calcSubleavesResCount(tree)
+    calcSubnodesCount(tree)
+
+    newtree = removeUnResLeaves(tree)
+     
+    calcSubleavesResCount(newtree)
+    calcSubnodesCount(newtree)
+    calcDetParsResModel(newtree)
+    newtree.calcContributions(drug_res_profile, beta)
+
+    calcRefSatesMutations(all_mutations, drug_res_profile)
+    calcBinSatesMutations(all_mutations, drug_res_profile)
+    calcGenesCoverSupports(all_mutations, drug_res_profile, beta)
+
+    con_mutations, neu_mutations, ess_mutations = categorizeMultiMutations(all_mutations, drug_res_profile)
+    imp_mutations = con_mutations + neu_mutations + ess_mutations
+    gene_profiles = geneMutations(imp_mutations)
+    con_gene_profiles = geneMutations(con_mutations)
+    
+    gene_profiles = groupGeneMutations(gene_profiles, dist, con_gene_profiles, grouping_type)
+    
+    computeGeneProfiles(gene_profiles)
+    computeGeneProfilesEss(gene_profiles)
+    
+    calcGenesCoverSupports(gene_profiles, drug_res_profile, beta)
+    calcGenesWeightedSupports(gene_profiles, drug_res_profile, newtree, beta)
+    calcGenesTreeScore(gene_profiles, drug_res_profile, newtree, theta=theta, zeta=zeta)
+    calcOddsRatio(gene_profiles, drug_res_profile)
+    
+    for gene_profile in gene_profiles:
+        muts_sorted = sorted(gene_profile.mutations, key=lambda mutation:mutation.tscore)
+        gene_profile.start = muts_sorted[0].position
+        gene_profile.end = muts_sorted[0].position
+        gene_profile.desc = muts_sorted[0].desc
+        
+    
+    if grouping_type == "G":
+        gene_profiles_sorted = sorted(gene_profiles, key=lambda gp:-gp.best_mutation.wsupport)
+        genes_to_show = list(gene_profiles_sorted)[:1000]        
+    elif details == "N":
+        genes_to_show = filerGenesToShow(gene_profiles, drug_res_profile, drug_res_genes=drug_res_genes, drug_targets=drug_targets)
+    elif details == "H":
+        genes_to_show = filerGenesToShowHigh(gene_profiles, max_support, max_support2=max_support2, drug_res_genes=drug_res_genes, drug_targets=drug_targets)
+    elif details == "Y":
+        genes_to_show = filerGenesToShowBySupport(gene_profiles, 1, drug_res_genes=drug_res_genes, target_genes=drug_targets)
+    elif details == "S":
+        gene_profiles_sorted = sorted(gene_profiles, key=lambda gp:-gp.wsupport)
+        genes_to_show = list(gene_profiles_sorted)[:1000]
+
+    alignments = {}
+
+    for leaf_id in newtree.leaf_ids:
+        strain_id = strains.getStrain(leaf_id)
+        alignments[strain_id] = ""
+    
+    for i in range(0, min(10, len(genes_to_show)), 1):
+        gene_profile = genes_to_show[i]
+        gp_score = gene_profile.tscore
+        
+        for strain_index in newtree.leaf_ids:
+            strain_id = strains.getStrain(strain_index)
+            alignments[strain_id] += gene_profile.bin_profile[strain_index]
+#        
+    fasta_txt = ""
+    for strain_id in alignments:
+        fasta_txt += ">" + strain_id + "\n" + alignments[strain_id] + "\n"
+#    
+    output_fh = open(dataset_dir +"/tree_mapping/"+drug_name+"_aln"+".txt", "w")            
+    output_fh.write(fasta_txt)
+    output_fh.close()
+
+    output_fh = open(dataset_dir +"/tree_mapping/"+drug_name+"_muts"+".txt", "w")
+    for i in range(0, min(10, len(genes_to_show)), 1):
+        gene_profile = genes_to_show[i]
+        
+        newtree.setObservedMutProfile(gene_profile.bin_profile)
+        calcSubleavesMutCount(newtree)
+        calcDetParsMutModel(newtree)
+        mutated_node_leaves = calcMutatedNodeLeaves(newtree)
+        line_text = gene_profile.gene_id + "_" + str(gene_profile.start)
+        for mutated_node_id in mutated_node_leaves.keys():
+            line_text += "\t"
+            for leaf_id in mutated_node_leaves[mutated_node_id]:
+                
+                line_text += strains.getStrain(leaf_id) + ";"
+            line_text = line_text[:-1]
+            
+        output_fh.write(line_text + "\n")
+    output_fh.close()
+
+    output_fh = open(dataset_dir +"/tree_mapping/"+drug_name+"_res"+".txt", "w")            
+    resistant_node_leaves = calcResistantNodeLeaves(newtree)
+    line_text = ""
+    for resistant_node_id in resistant_node_leaves.keys():
+        line_text += "\t"
+        for leaf_id in resistant_node_leaves[resistant_node_id]:
+            line_text += strains.getStrain(leaf_id) + ";"
+        line_text = line_text[:-1]   
+    output_fh.write(line_text + "\n") 
+    output_fh.close()
+
+    output_fh = open(dataset_dir +"/tree_mapping/"+drug_name+"_tree"+".txt", "w")            
+    output_fh.write(newtree.toString(strains = strains, lengths = False, int_labels = True)+"\n");
+    output_fh.close()
+
+
+    return None
+
+
+def evaluateMethod(drug_name, res_profiles, drug_targets, drug_res_genes, tree, all_mutations, gene_presence, strains, parameters):
+    dataset = parameters["D"] 
+    details = parameters["DETAILS"]
+    subset = parameters["SUBSET"]
+    hide = int(parameters["HIDE"]) 
+    theta = parameters["THETA"]
+    beta = int(parameters["BETA"])  
+    pred = parameters["PRED"]
+    zeta = float(parameters["ZETA"])
+    tscore_type = parameters["TSCORE_TYPE"]
+    dist = int(parameters["DIST"])
+    exp_prefix = parameters["EXP_PREFIX"]
+    grouping_type = parameters["GROUPING"] 
+    m_type = parameters["TYPE"] 
+    
+    input_dir = os.path.abspath("../../../data_input/"+dataset+"_res/")+"/"
+    output_dir = os.path.abspath("../../../data_output/"+dataset+"_out/")+"/"
+        
+    drug_res_profile = copy.deepcopy(res_profiles[drug_name])
+    scoreMutations(drug_res_profile, drug_name, drug_targets[drug_name], drug_res_genes[drug_name], tree, all_mutations, gene_presence, strains, parameters=parameters)
+#     output_format_fh.close()
+
+def scoreDrug(parameters):
+    dataset = parameters["D"] 
+    subset = parameters["SUBSET"]
+    m_type = (parameters["TYPE"])
+    pred = (parameters["PRED"])
+    drug_name = parameters["DRUG_NAME"]
+
+    dataset_dir = os.path.abspath("../camber-pred/datasets/"+dataset)+"/"
+
+    input_fh = open(dataset_dir + "strain_profiles_ord.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+
+    input_fh = open(dataset_dir + "strain_names_ord.txt")
+    strain_names_ord = readStrainNamesOrd(input_fh)
+    input_fh.close()
+
+    if pred == "B":
+        input_fn = dataset_dir + "res_profiles_ret.txt"
+    else:
+        input_fn = dataset_dir + "pred_res_profiles.txt"
+        
+    input_fh = open(input_fn)
+    res_profiles_list = readResistanceProfiles(input_fh, strains)
+    input_fh.close()
+    
+    res_profiles = {}
+    for res_profile in res_profiles_list:
+        res_profiles[res_profile.drug_name] = res_profile
+    
+    cluster_fh = open(dataset_dir + "cluster_names.txt")
+    cluster_names, cluster_ids, cluster_ids_rev = readClusterNames(cluster_fh, strains)
+    cluster_fh.close()
+    
+    input_fh = open(dataset_dir + "drug_targets.txt")
+    drug_targets = loadDrugTargets(input_fh, cluster_ids_rev)
+    input_fh.close()
+    
+    input_fh = open(dataset_dir + "drug_res_genes.txt")
+    drug_res_genes = loadDrugResGenes(input_fh, cluster_ids_rev)
+    input_fh.close()
+   
+    input_fh = open(dataset_dir + "drug_res_rel.txt")
+    drug_res_rel = loadDrugTargets(input_fh, cluster_ids_rev)
+    input_fh.close()
+    
+    print("DRUG RES GENES: ", drug_res_genes)
+    print("DRUG TARGETS: ", drug_targets)
+
+    if subset == "Y":
+        input_fh = open(dataset_dir + 'subset_imp_genes_neigh.txt')
+        gene_subset = readGeneSubset(input_fh, cluster_ids_rev)
+        input_fh.close()
+    else:
+        gene_subset = None
+        
+    input_fh = open(dataset_dir + 'phylo_tree.txt')
+    tree = readPhyloTree(input_fh, strains)
+    input_fh.close()
+        
+    input_fh = open(dataset_dir + 'man-all-mutations.txt')
+    all_mutations, gene_presence = readMultiMutations(input_fh, strains, cluster_names=cluster_names, cluster_ids=cluster_ids, cluster_ids_rev=cluster_ids_rev, strains_ord=strain_names_ord, gene_subset=gene_subset, m_type=m_type, syn=False)
+    input_fh.close()
+    
+    print("READ", len(all_mutations))
+    sys.stdout.flush()
+    
+    imp_mutations = filterMutations(all_mutations, strains)
+    
+    diffTime("FILTERED")
+    print("MUTATIONS: ", len(imp_mutations))
+    evaluateMethod(drug_name, res_profiles, drug_targets, drug_res_genes, tree, imp_mutations, gene_presence, strains, parameters)
+    diffTime("EVALUATED")
+    
+    return drug_name
+    
+if __name__ == '__main__':
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    
+    if "W" in parameters:
+        WORKERS = int(parameters["W"])
+    else:
+        WORKERS = 4
+    WORKERS = 1
+    #dataset = "sta_plas_184"
+    
+    if "DATASET" in parameters and not parameters["D"] in ["mtb","sta","ba"]:
+        dataset = parameters["D"]
+    else:
+        dataset = "spe"
+        
+    dataset = "mtb79"
+    dataset_dir = os.path.abspath("../camber-pred/datasets/"+dataset)+"/"
+
+    print(dataset_dir)
+    
+    ensure_dir(dataset_dir)
+    ensure_dir(dataset_dir + "/html_subset/")
+    ensure_dir(dataset_dir + "/r_subset/")
+    ensure_dir(dataset_dir + "/tree_mapping/")
+    ensure_dir(dataset_dir + "/det/")
+    #scripts_dir = "/research/wongls-group/wozniak/scripts_pred/"
+    #scripts_dir = "../../"+dataset+"-scripts_pred/"
+    #ensure_dir(scripts_dir)
+    
+    cur_dir = os.path.abspath(os.curdir) +"/"
+    
+    hide_params = set(["0"])
+    dist_params = set(["0"])
+    pred_params = set(["B"])
+    beta_params = set(["-1"])
+    grouping_params = set(["N"])
+    details_params = set(["S"])
+    subset_params = set(["N"])
+    type_params = set(["S"])
+    theta_params = ["0.5"]
+    zeta_params = ["0.0"]
+    tscore_params = ["P"]
+    exp_prefix = "FINAL7"
+    
+    input_fh = open(dataset_dir + "res_profiles_ret.txt")
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    print(drug_names)
+        
+    TASKS = []
+    
+    TASK = {}
+    count = 0
+    for theta_param in theta_params:
+        for beta_param in beta_params:
+            for pred_param in pred_params:
+                for type_param in type_params:
+                    for hide_param in hide_params:
+                        for dist_param in dist_params:
+                            for tscore_param in  tscore_params:
+                                for zeta_param in zeta_params:
+                                    for grouping_param in grouping_params:
+                                        for details_param in details_params:
+                                            for subset_param in subset_params:
+                                                for drug_name in drug_names:
+                                                    if not drug_name in ["Ofloxacin"]:
+                                                        continue 
+                                                    if type_param == "G" and dist_param != "0":
+                                                        continue
+                                                    if grouping_param == "G" and dist_param != "0":
+                                                        continue
+                                                    #if drug_name == "Rifampicin":
+                                                    #    continue
+                                                    TASK["D"] = dataset
+                                                    TASK["DETAILS"] = str(details_param)
+                                                    TASK["HIDE"] = str(hide_param)
+                                                    TASK["SUBSET"] = str(subset_param)
+                                                    TASK["DIST"] = str(dist_param)
+                                                    TASK["GROUPING"] = str(grouping_param)
+                                                    TASK["EXP_PREFIX"] = exp_prefix 
+                                                    TASK["TYPE"] = type_param
+                                                    TASK["PRED"] = pred_param
+                                                    TASK["BETA"] = beta_param
+                                                    TASK["THETA"] = theta_param
+                                                    TASK["TSCORE_TYPE"] = tscore_param
+                                                    TASK["ZETA"] = zeta_param  
+                                                    TASK["DRUG_NAME"] = drug_name
+                                                    #output_det_fn = output_dir + "/det/"+str(exp_prefix)+"-"+str(0)+"-"+str(dist_param)+"-"+grouping_param+"-"+details_param+"-"+subset_param+"-"+type_param+"-"+pred_param+"-"+str(beta_param)+"-"+drug_name+".txt"
+        
+                                                    TASKS.append(TASK.copy())
+            
+                                                  #  scoreDrug(TASK)
+
+    for TASK in TASKS:
+        print(TASK)
+    if WORKERS > 1:                               
+        pool = Pool(processes=WORKERS)   
+        for r in pool.imap(scoreDrug, TASKS):
+            print(r)
+    else:
+        for T in TASKS:
+            scoreDrug(T)
+
+
+
diff --git a/other/visR/backup/score-subset-mutations.py b/other/visR/backup/score-subset-mutations.py
new file mode 100644
index 0000000..bd79fe0
--- /dev/null
+++ b/other/visR/backup/score-subset-mutations.py
@@ -0,0 +1,518 @@
+import sys
+import os
+import copy
+from multiprocessing import Pool
+
+
+sys.path.append("../../../../camber2/src/")
+sys.path.append("../../")
+
+from soft.utils.camber_params_utils import *
+from ressoft.utils.file_utils import ensure_dir
+from soft.utils.camber_utils import *
+from ressoft.utils.stats_utils import *
+from ressoft.utils.generator import choose
+from ressoft.utils.pred_utils import *
+from ressoft.utils.input_utils import *
+from ressoft.utils.names_utils import *
+from ressoft.utils.output import *
+from ressoft.modelling.model_logic import *
+
+def printScoresGene(genes_to_show, drug_name, output_det_fh, only_mutated = False):
+    sorted_gene_profiles = sorted(genes_to_show, key=lambda gene_profile:(gene_profile.gene_id, gene_profile.start))
+
+    output_det_fh.write("gene_id\tdesc\tposition\ttree_score\twsupport\tsupport\tor\n")
+    
+    genes_map = {}
+    
+    for gene_profile in sorted_gene_profiles:
+        if not gene_profile.gene_id in genes_map:
+            genes_map[gene_profile.gene_id] = []
+        genes_map[gene_profile.gene_id].append(gene_profile)
+
+        
+    for gene_id in genes_map.keys():
+        last_pos = -1
+        for gene_profile in genes_map[gene_id]:
+            gene_profile_id = gene_profile.gene_profile_id
+            gene_id = gene_profile.gene_id
+            
+            tokens = gene_profile_id.split("-")
+            if len(tokens) == 2:
+                gene_id_text = tokens[1]
+            else:
+                gene_id_text = tokens[0]
+            gene_profile.setGeneIDText(gene_id_text)
+            
+            if only_mutated == False:
+                while last_pos + 1 < gene_profile.start:
+                    text_line = gene_profile.gene_name + "\t"
+                    text_line += "no" + "\t"
+                    text_line += str(last_pos + 1) + "\t"
+                    text_line += str("%.2f" % 0) + "\t"
+                    text_line += str("%.2f" % 0) + "\t"
+                    text_line += str("%.2f" % 0) + "\t"
+                    text_line += str("%.2f" % 0) + "\t"
+                    output_det_fh.write(text_line + "\n")
+                    last_pos += 1 
+    
+            text_line = gene_profile.gene_name + "\t"
+            text_line += gene_profile.desc + "\t"
+            text_line += str(gene_profile.start) + "\t"
+            text_line += str("%.2f" % gene_profile.tscore) + "\t"
+            text_line += str("%.2f" % gene_profile.wsupport) + "\t"
+            text_line += str("%.2f" % gene_profile.support) + "\t"
+            text_line += str("%.2f" % gene_profile.odds_support) + "\t"
+            output_det_fh.write(text_line + "\n")
+    return None
+        
+def printHtmlStephen(genes_to_show, drug_name, strains, output_det_fh, show_profiles = True, hidden_res_profile = None, drug_res_genes=None, drug_targets=None, strain_index = None, predicted_res_profile = None, gene_functions = None, type="G", mutabilities=None):
+    sorted_gene_profiles = sorted(genes_to_show, key=lambda gene_profile:(gene_profile.gene_id, gene_profile.start))
+    output_det_fh.write('<html xmlns="http://www.w3.org/1999/xhtml" xml:lang="en">\n')
+    output_det_fh.write("<head>\n")
+    output_det_fh.write('<script src="sorttable.js" type="text/javascript"> </script>\n')
+    output_det_fh.write('<script src="jquery-1.7.1.js" type="text/javascript"> </script>\n')
+    output_det_fh.write('<script src="row_expand.js" type="text/javascript"> </script>\n')
+    output_det_fh.write('<script type="text/javascript">\n')
+    output_det_fh.write('$(document).ready(function(){\n')
+    output_det_fh.write('init();\n')
+    output_det_fh.write('});\n')
+    output_det_fh.write('</script>\n')
+    output_det_fh.write('<link rel="stylesheet" type="text/css" href="vert_text.css" />\n')
+    output_det_fh.write("</head>\n")
+    output_det_fh.write("<body>\n")
+    output_det_fh.write('<table>\n')
+    output_det_fh.write('<tr>\n')
+    output_det_fh.write('<th style="width:100px">Gene identifier</th>\n')
+
+    if len(sorted_gene_profiles) > 0:
+        if sorted_gene_profiles[0].start != None:
+            output_det_fh.write('<th style="width:40px">Position</th>\n')
+        if sorted_gene_profiles[0].desc != None and sorted_gene_profiles[0].desc != "":
+            output_det_fh.write('<th style="width:40px">Description</th>\n')
+    
+    if type == "S":
+        if gene_functions != None: 
+            output_det_fh.write('<th style="width:200px">Gene functional annotation</th>\n')
+        if mutabilities != None:
+            output_det_fh.write('<th style="width:200px">Gene mutabilities/th>\n')            
+            
+        output_det_fh.write('<th style="width:40px">Weighted support</th>\n')
+        output_det_fh.write('<th style="width:40px">Tree score</th>\n')
+        output_det_fh.write('<th style="width:40px">Odds ratio</th>\n')
+        output_det_fh.write('<th style="width:40px">Drug-resistance determinant?</th>\n')
+    else:        
+        if gene_functions != None:
+            output_det_fh.write('<th style="width:200px">Gene functional annotation</th>\n')
+        if mutabilities != None: 
+            output_det_fh.write('<th style="width:200px">Gene mutabilities/th>\n')     
+        output_det_fh.write('<th style="width:40px">Weighted support</th>\n')
+        output_det_fh.write('<th style="width:40px">Tree score</th>\n')
+        output_det_fh.write('<th style="width:40px">Odds ratio</th>\n')
+        output_det_fh.write('<th style="width:40px">Drug-resistance determinant?</th>\n')
+
+    if hidden_res_profile != None:
+        for strain_index in range(0, strains.count(), 1):
+            strain_id = strains.getStrain(strain_index)
+            strain_id = strain_id.strip()
+            if strain_index in hidden_res_profile.getSusceptible():
+                if strain_index in hidden_res_profile.predicted_strains or strain_index in hidden_res_profile.hidden_strains:
+                    output_det_fh.write('<th style="background-color: rgb(170,255,170); width:65px">'+strain_id+' (s)</th>')
+                else:
+                    output_det_fh.write('<th style="background-color: rgb(0,255,0); width:65px">'+strain_id+' (S)</th>')
+            elif strain_index in hidden_res_profile.getResistant():
+                if strain_index in hidden_res_profile.predicted_strains or strain_index in hidden_res_profile.hidden_strains:
+                    output_det_fh.write('<th style="background-color: rgb(255,170,170); width:65px">'+strain_id+' (r)</th>')
+                else:
+                    output_det_fh.write('<th style="background-color: rgb(255,0,0); width:65px">'+strain_id+' (R)</th>') 
+            else:
+                output_det_fh.write('<td style="width:65px">'+strain_id+' (?)</td>') 
+
+    output_det_fh.write('</tr>\n')    
+    
+    count = 0
+    for gene_profile in sorted_gene_profiles:
+        count += 1
+        gene_profile_id = gene_profile.gene_profile_id
+        gene_id = gene_profile.gene_id
+        
+        tokens = gene_profile_id.split("-")
+        if len(tokens) == 2:
+            gene_id_text = tokens[1]
+        else:
+            gene_id_text = tokens[0]
+        gene_profile.setGeneIDText(gene_id_text)
+
+        output_det_fh.write('<tr>\n')
+        if type == "S":        
+            if gene_profile.gene_id != gene_profile.gene_name:
+                output_det_fh.write('<td style="width:200px">'+gene_profile.gene_id+"("+gene_profile.gene_name+")"+'</td>')
+            else:
+                output_det_fh.write('<td style="width:200px">'+gene_profile.gene_id+"("+gene_profile.gene_name+")"+'</td>')                
+            if gene_profile.start != gene_profile.end:
+                output_det_fh.write('<td style="width:200px">'+"["+str(gene_profile.start)+":"+str(gene_profile.end)+"]"+'</td>')
+            else:
+                output_det_fh.write('<td style="width:200px">'+str(gene_profile.start)+'</td>')
+        else:
+            output_det_fh.write('<td style="width:200px">'+gene_profile.gene_id_text+'</td>')
+            
+            if gene_profile.start != None:
+                output_det_fh.write('<td style="width:20px">'+str(gene_profile.start)+'</td>\n')
+        if gene_profile.desc != None and gene_profile.desc != "":
+            output_det_fh.write('<td style="width:20px">'+str(gene_profile.desc)+'</td>\n')
+                
+        if gene_functions != None:
+            if gene_id in gene_functions:
+                output_det_fh.write('<td style="width:200px">'+gene_functions[gene_id]+'</td>')
+            else:
+                output_det_fh.write('<td style="width:200px">unknown</td>')
+        if mutabilities != None:
+            if gene_id in mutabilities:
+                output_det_fh.write('<td style="width:200px">'+str("%.8f" % mutabilities[gene_id])+' </td>')
+            else:
+                output_det_fh.write('<td style="width:200px">NA</td>')
+             
+        output_det_fh.write('<td style="width:20px; border-left-width: 3px;">'+str(gene_profile.wsupport).replace(".",",")+'</td>')
+        output_det_fh.write('<td style="width:20px">'+str(gene_profile.tscore).replace(".",",")+'</td>')
+        output_det_fh.write('<td style="width:20px">'+str(gene_profile.odds_support).replace(".",",")+'</td>')
+  #      output_det_fh.write('<td style="width:20px">'+str(gene_profile.pvalue_wsupport).replace(".",",")+'</td>')
+  #      output_det_fh.write('<td style="width:20px">'+str(gene_profile.pvalue_wsupport_corr).replace(".",",")+'</td>')
+        
+        is_det = False
+        #print(drug_targets)
+        #print(drug_res_genes)
+        if (drug_targets != None and gene_profile in drug_targets) or (drug_res_genes != None and gene_profile in drug_res_genes):
+            is_det = True
+#        if drug_targets != None and gene_id in drug_targets:
+#            (start, end) = drug_targets[gene_id]
+#            (s, e) = gene_profile.positionRange()
+#            if s>=start and e<=end:
+#                is_det = True
+#        if drug_res_genes != None and gene_id in drug_res_genes:
+#            is_det = True
+
+        if is_det:
+            output_det_fh.write('<td style="width:20px">YES</td>')
+        else:
+            output_det_fh.write('<td style="width:20px">NO</td>')
+
+
+        #output_det_fh.write('<td style="width:20px">'+gene_profile.diff_type+'</td>')
+        for strain_id in range(0, strains.count(), 1):
+            if gene_profile.getDescState(strain_id) == "?":
+                if gene_profile.getBinState(strain_id) == '1':
+                    output_det_fh.write('<td style="background-color: rgb(230,180,180); width:20px">'+"1:"+str(gene_profile.getState(strain_id))+'</td>')
+                elif gene_profile.getBinState(strain_id) == '0':
+                    output_det_fh.write('<td style="background-color: rgb(140,230,190); width:20px">'+"0:"+str(gene_profile.getState(strain_id))+'</td>')                
+                else:
+                    output_det_fh.write('<td style="background-color: rgb(200,200,190); width:20px">'+"0:"+str(gene_profile.getState(strain_id))+'</td>')
+            else:
+                if gene_profile.getBinState(strain_id) == '1':
+                    output_det_fh.write('<td style="background-color: rgb(230,180,180); width:20px">'+"1:"+str(gene_profile.getState(strain_id))+":"+str(gene_profile.getDescState(strain_id))+'</td>')
+                elif gene_profile.getBinState(strain_id) == '0':
+                    output_det_fh.write('<td style="background-color: rgb(140,230,190); width:20px">'+"0:"+str(gene_profile.getState(strain_id))+":"+str(gene_profile.getDescState(strain_id))+'</td>')                
+                else:
+                    output_det_fh.write('<td style="background-color: rgb(200,200,190); width:20px">'+"0:"+str(gene_profile.getState(strain_id))+":"+str(gene_profile.getDescState(strain_id))+'</td>')
+        output_det_fh.write('</tr>\n')        
+        
+
+    output_det_fh.write('</table>\n')
+    output_det_fh.write("</body>\n")
+    output_det_fh.write("</html>\n")
+
+def scoreMutations(drug_res_profile, drug_name, drug_targets, drug_res_genes, tree, all_mutations, gene_presence, strains, output_format_fh=None, parameters=None):
+    species = parameters["SPECIES"] 
+    details = parameters["DETAILS"]
+    subset = parameters["SUBSET"]
+    hide = int(parameters["HIDE"]) 
+    beta = int(parameters["BETA"]) 
+    pred = parameters["PRED"]
+    theta = float(parameters["THETA"])
+    dist = int(parameters["DIST"])
+    zeta = float(parameters["ZETA"])
+    tscore_type = parameters["TSCORE_TYPE"]
+    exp_prefix = parameters["EXP_PREFIX"]
+    grouping_type = parameters["GROUPING"] 
+    m_type = parameters["TYPE"]
+         
+    input_dir = os.path.abspath("../../../data_input/"+species+"_res/")+"/"
+    output_dir = os.path.abspath("../../../data_output/"+species+"_out/")+"/"
+
+    if beta == -1:
+        beta_str = str("%.2f" % float(len(drug_res_profile.getResistant())/float(len(drug_res_profile.getSusceptible()))))
+        beta = float(beta_str)
+
+    tree.setObservedResProfile(drug_res_profile.full_profile)
+    calcSubleavesResCount(tree)
+    calcSubnodesCount(tree)
+
+    newtree = removeUnResLeaves(tree)
+     
+    calcSubleavesResCount(newtree)
+    calcSubnodesCount(newtree)
+    calcDetParsResModel(newtree)
+    newtree.calcContributions(drug_res_profile, beta)
+
+    calcRefSatesMutations(all_mutations, drug_res_profile)
+    calcBinSatesMutations(all_mutations, drug_res_profile)
+    calcGenesCoverSupports(all_mutations, drug_res_profile, beta)
+
+    con_mutations, neu_mutations, ess_mutations = categorizeMultiMutations(all_mutations, drug_res_profile)
+    imp_mutations = con_mutations + neu_mutations + ess_mutations
+    gene_profiles = geneMutations(imp_mutations)
+    con_gene_profiles = geneMutations(con_mutations)
+    
+    gene_profiles = groupGeneMutations(gene_profiles, dist, con_gene_profiles, grouping_type)
+    print("AAA", len(gene_profiles))
+    
+    computeGeneProfiles(gene_profiles)
+    computeGeneProfilesEss(gene_profiles)
+    
+    calcGenesCoverSupports(gene_profiles, drug_res_profile, beta)
+    calcGenesWeightedSupports(gene_profiles, drug_res_profile, newtree, beta)
+    calcGenesTreeScore(gene_profiles, drug_res_profile, newtree, theta=theta, zeta=zeta)
+    calcOddsRatio(gene_profiles, drug_res_profile)
+    
+    for gene_profile in gene_profiles:
+        muts_sorted = sorted(gene_profile.mutations, key=lambda mutation:mutation.tscore)
+        gene_profile.start = muts_sorted[0].position
+        gene_profile.end = muts_sorted[0].position
+        gene_profile.desc = muts_sorted[0].desc
+        
+    
+    if grouping_type == "G":
+        gene_profiles_sorted = sorted(gene_profiles, key=lambda gp:-gp.best_mutation.wsupport)
+        genes_to_show = list(gene_profiles_sorted)[:7000]        
+    elif details == "N":
+        genes_to_show = filerGenesToShow(gene_profiles, drug_res_profile, drug_res_genes=drug_res_genes, drug_targets=drug_targets)
+    elif details == "H":
+        genes_to_show = filerGenesToShowHigh(gene_profiles, max_support, max_support2=max_support2, drug_res_genes=drug_res_genes, drug_targets=drug_targets)
+    elif details == "Y":
+        genes_to_show = filerGenesToShowBySupport(gene_profiles, 1, drug_res_genes=drug_res_genes, target_genes=drug_targets)
+    elif details == "S":
+        gene_profiles_sorted = sorted(gene_profiles, key=lambda gp:-gp.wsupport)
+        genes_to_show = list(gene_profiles_sorted)[:7000]
+
+    
+    output_res_fn = output_dir +"/html_subset/"+str(exp_prefix)+"-"+str(hide)+"-"+str(dist)+"-"+grouping_type+"-"+details+"-"+subset+"-"+m_type+"-"+pred+"-"+str(beta)+"-"+str(theta)+"-"+str(zeta)+"-"+str(tscore_type)+"-"+drug_name+".html"
+    output_fh = open(output_res_fn, "w")            
+    printHtmlStephen(genes_to_show, drug_name, strains, output_fh, show_profiles=True, hidden_res_profile=drug_res_profile, drug_res_genes=drug_res_genes, drug_targets=None, gene_functions=None, type=m_type, mutabilities=None)
+    output_fh.close()
+
+    output_res_fn = output_dir +"/r_subset/"+drug_name+".txt"
+    output_fh = open(output_res_fn, "w")            
+    printScoresGene(genes_to_show, drug_name, output_fh, only_mutated = False)
+    output_fh.close()
+
+
+    return None
+
+
+def evaluateMethod(drug_name, res_profiles, drug_targets, drug_res_genes, tree, all_mutations, gene_presence, strains, parameters):
+    species = parameters["SPECIES"] 
+    details = parameters["DETAILS"]
+    subset = parameters["SUBSET"]
+    hide = int(parameters["HIDE"]) 
+    theta = parameters["THETA"]
+    beta = int(parameters["BETA"])  
+    pred = parameters["PRED"]
+    zeta = float(parameters["ZETA"])
+    tscore_type = parameters["TSCORE_TYPE"]
+    dist = int(parameters["DIST"])
+    exp_prefix = parameters["EXP_PREFIX"]
+    grouping_type = parameters["GROUPING"] 
+    m_type = parameters["TYPE"] 
+    
+    input_dir = os.path.abspath("../../../data_input/"+species+"_res/")+"/"
+    output_dir = os.path.abspath("../../../data_output/"+species+"_out/")+"/"
+        
+    drug_res_profile = copy.deepcopy(res_profiles[drug_name])
+    scoreMutations(drug_res_profile, drug_name, drug_targets[drug_name], drug_res_genes[drug_name], tree, all_mutations, gene_presence, strains, parameters=parameters)
+#     output_format_fh.close()
+
+def scoreDrug(parameters):
+    species = parameters["SPECIES"] 
+    subset = parameters["SUBSET"]
+    m_type = (parameters["TYPE"])
+    pred = (parameters["PRED"])
+    drug_name = parameters["DRUG_NAME"]
+
+    input_dir = os.path.abspath("../../../data_input/"+species+"_res/")+"/"
+    output_dir = os.path.abspath("../../../data_output/"+species+"_out/")+"/"
+
+    input_fh = open(input_dir + "strains-all.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+    
+    if pred == "B":
+        input_fn = input_dir + "pred_res_profiles.txt"
+    else:
+        input_fn = input_dir + "pred_res_profiles.txt"
+    input_fh = open(input_fn)
+    res_profiles_list = readResistanceProfiles(input_fh, strains)
+    input_fh.close()
+    
+    res_profiles = {}
+    for res_profile in res_profiles_list:
+        res_profiles[res_profile.drug_name] = res_profile
+    
+    cluster_fh = open(input_dir + "conn_comp-det.txt")
+    clusters, id_cluster_map = readClusters(cluster_fh, strains)
+    cluster_fh.close()
+    
+    anns_fn = input_dir+"names_anns.txt"
+    if os.path.exists(anns_fn):
+        anns_fh = open(anns_fn)
+        names_mapping = readNamesMapping(anns_fh)
+        anns_fh.close()
+    else:
+        names_mapping = None
+    
+    strains_ord_fh = open(input_dir + "names-strains-ord.txt")
+    strains_ord = readStrainNamesOrd(strains_ord_fh)
+    strains_ord_fh.close()
+    
+    input_fh = open(input_dir + "drug_targets.txt")
+    drug_targets = loadDrugTargets(input_fh, clusters, id_cluster_map, strains_ord)
+    input_fh.close()
+    
+    input_fh = open(input_dir + "drug_res_genes.txt")
+    drug_res_genes = loadDrugResGenes(input_fh, clusters, id_cluster_map, strains_ord)
+    input_fh.close()
+    
+    print("DRUG RES GENES", drug_res_genes)
+
+    input_fh = open(input_dir + 'phylo_tree.txt')
+    tree = readPhyloTree(input_fh, strains)
+    input_fh.close()
+    
+    if subset == "Y":
+        input_fh = open(input_dir + 'subset.txt')
+        gene_subset = readGeneSubset(input_fh, clusters, id_cluster_map, strains_ord)
+        input_fh.close()
+    else:
+        gene_subset = None
+        
+ #   gene_subset = set(gene_subset) & set(drug_res_genes[drug_name].keys())
+        
+    input_fh = open(input_dir + 'man-all-mutations.txt')
+    all_mutations, gene_presence = readMultiMutations(input_fh, strains, clusters=clusters, id_cluster_map=id_cluster_map, strains_ord=strains_ord, names_mapping=names_mapping, gene_subset=gene_subset, m_type=m_type, syn = True)
+    input_fh.close()
+    
+    print("READ")
+    sys.stdout.flush()
+    
+    imp_mutations = filterMutations(all_mutations, strains)
+    
+    
+    diffTime("FILTERED")
+    print("MUTATIONS: ", len(imp_mutations))
+    evaluateMethod(drug_name, res_profiles, drug_targets, drug_res_genes, tree, imp_mutations, gene_presence, strains, parameters)
+    diffTime("EVALUATED")
+    
+    return drug_name
+    
+if __name__ == '__main__':
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    
+    if "W" in parameters:
+        WORKERS = int(parameters["W"])
+    else:
+        WORKERS = 4
+    #WORKERS = 1
+    #species = "sta_plas_184"
+    
+    if "SPECIES" in parameters and not parameters["SPECIES"] in ["mtb","sta","ba"]:
+        species = parameters["SPECIES"]
+    else:
+        species = "sta100"
+        
+   # species = "sta_plas_184"
+    
+    input_dir = os.path.abspath("../../../data_input/"+species+"_res/")+"/"
+    output_dir = os.path.abspath("../../../data_output/"+species+"_out/")+"/"
+    format_dir = os.path.abspath("../../../data_output/"+species+"_format/")+"/"
+    
+    ensure_dir(output_dir)
+    ensure_dir(output_dir +"/html_subset/")
+    ensure_dir(output_dir +"/r_subset/")
+    ensure_dir(output_dir + "/det/")
+    #scripts_dir = "/research/wongls-group/wozniak/scripts_pred/"
+    #scripts_dir = "../../"+species+"-scripts_pred/"
+    #ensure_dir(scripts_dir)
+    
+    cur_dir = os.path.abspath(os.curdir) +"/"
+    
+    hide_params = set(["0"])
+    dist_params = set(["0"])
+    pred_params = set(["A"])
+    beta_params = set(["-1"])
+    grouping_params = set(["N"])
+    details_params = set(["S"])
+    subset_params = set(["Y"])
+    type_params = set(["S"])
+    theta_params = ["0.5"]
+    zeta_params = ["0.0"]
+    tscore_params = ["P"]
+    exp_prefix = "FINAL4"
+    
+    input_fh = open(input_dir + "pred_res_profiles.txt")
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    print(drug_names)
+        
+    TASKS = []
+    
+    TASK = {}
+    count = 0
+    for theta_param in theta_params:
+        for beta_param in beta_params:
+            for pred_param in pred_params:
+                for type_param in type_params:
+                    for hide_param in hide_params:
+                        for dist_param in dist_params:
+                            for tscore_param in  tscore_params:
+                                for zeta_param in zeta_params:
+                                    for grouping_param in grouping_params:
+                                        for details_param in details_params:
+                                            for subset_param in subset_params:
+                                                for drug_name in drug_names:
+                                                    if type_param == "G" and dist_param != "0":
+                                                        continue
+                                                    if grouping_param == "G" and dist_param != "0":
+                                                        continue
+                                                    #if drug_name == "Rifampicin":
+                                                    #    continue
+                                                    TASK["SPECIES"] = species
+                                                    TASK["DETAILS"] = str(details_param)
+                                                    TASK["HIDE"] = str(hide_param)
+                                                    TASK["SUBSET"] = str(subset_param)
+                                                    TASK["DIST"] = str(dist_param)
+                                                    TASK["GROUPING"] = str(grouping_param)
+                                                    TASK["EXP_PREFIX"] = exp_prefix 
+                                                    TASK["TYPE"] = type_param
+                                                    TASK["PRED"] = pred_param
+                                                    TASK["BETA"] = beta_param
+                                                    TASK["THETA"] = theta_param
+                                                    TASK["TSCORE_TYPE"] = tscore_param
+                                                    TASK["ZETA"] = zeta_param  
+                                                    TASK["DRUG_NAME"] = drug_name
+                                                    #output_det_fn = output_dir + "/det/"+str(exp_prefix)+"-"+str(0)+"-"+str(dist_param)+"-"+grouping_param+"-"+details_param+"-"+subset_param+"-"+type_param+"-"+pred_param+"-"+str(beta_param)+"-"+drug_name+".txt"
+        
+                                                    TASKS.append(TASK.copy())
+            
+                                                  #  scoreDrug(TASK)
+
+    for TASK in TASKS:
+        print(TASK)
+    if WORKERS > 1:                               
+        pool = Pool(processes=WORKERS)   
+        for r in pool.imap(scoreDrug, TASKS):
+            print(r)
+    else:
+        for T in TASKS:
+            scoreDrug(T)
+
diff --git a/other/visR/backup/show-dates.py b/other/visR/backup/show-dates.py
new file mode 100644
index 0000000..5368aee
--- /dev/null
+++ b/other/visR/backup/show-dates.py
@@ -0,0 +1,261 @@
+import sys
+import os
+import copy
+from ete2 import Tree
+from ete2 import PhyloTree
+from ete2.treeview.main import TreeStyle, NodeStyle, TreeStyle
+from multiprocessing import Pool
+
+sys.path.append("../../")
+
+from soft.utils.camber_params_utils import *
+from ressoft.utils.file_utils import ensure_dir
+from soft.utils.camber_utils import *
+from ressoft.utils.stats_utils import *
+from ressoft.utils.generator import choose
+from ressoft.utils.pred_utils import *
+from ressoft.utils.input_utils import *
+from ressoft.utils.names_utils import *
+from ressoft.utils.output import *
+from ressoft.modelling.model_logic import *
+from ressoft.modelling.habib import *
+from ressoft.utils.pvalue_utlis import hyperTestPvalue
+from ressoft.utils.stats_utils import *
+from ressoft.utils.generator import choose
+from ressoft.utils.pred_utils import *
+from ressoft.utils.input_utils import *
+from ressoft.utils.names_utils import *
+from ressoft.utils.output import *
+
+
+
+nstyle = NodeStyle()
+#nstyle["shape"] = "sphere"
+nstyle["size"] = 10
+nstyle["fgcolor"] = "black"
+
+resstyle = NodeStyle()
+#resstyle["shape"] = "sphere"
+resstyle["size"] = 20
+resstyle["fgcolor"] = "red"
+
+suscstyle = NodeStyle()
+#nstyle["shape"] = "sphere"
+suscstyle["size"] = 20
+suscstyle["fgcolor"] = "green"
+
+interstyle = NodeStyle()
+#nstyle["shape"] = "sphere"
+interstyle["size"] = 20
+interstyle["fgcolor"] = "yellow"
+
+
+def loadDrugsATC(input_fh):
+    #drugs_list = []
+    drugs_map = {}
+    for line in input_fh.readlines():
+        if not line:
+            continue
+        line = line.strip()
+        tokens = line.split()
+        if len(tokens) == 0:
+            continue
+        drug_name = tokens[0]
+        atc_name = tokens[1]
+        if atc_name == "x":
+            continue
+        if not drug_name in drugs_map:
+            drugs_map[drug_name] = atc_name
+    drugs_list = sorted(drugs_map, key=lambda dn:drugs_map[dn])
+    return drugs_list, drugs_map
+    
+def loadDrugsFromData(input_fh):
+    drugs_list = []
+    
+    for line in input_fh.readlines():
+        if not line:
+            continue
+        line = line.strip()
+        tokens = line.split()
+        if len(tokens) > 0:
+            drug_name = tokens[0]
+            strain_id = tokens[1]
+            res_info = tokens[2]
+            cite = tokens[3]
+            if not drug_name in drugs_list:
+                drugs_list.append(drug_name)
+    
+    return drugs_list
+
+def loadResProfiles(input_fh):
+    res_profiles = {}
+    
+    for line in input_fh.readlines():
+        if not line:
+            continue
+        line = line.strip()
+        line = line.split("#")[0]
+        tokens = line.split()
+        if not len(tokens) in [3,4]:
+            continue
+        drug_name = tokens[0]
+        
+        res_profiles[drug_name] = {}
+        res_profiles[drug_name]["R"] = set([])
+        res_profiles[drug_name]["S"] = set([])
+        res_profiles[drug_name]["I"] = set([])
+        
+        if len(tokens) == 3:
+            strains_res_tokens = tokens[1].split(";")
+            strains_susc_tokens = tokens[2].split(";")
+            
+            for strains_res_token in strains_res_tokens:
+                strain_id = strains_res_token.strip("*")
+                if len(strain_id) > 0:
+                    res_profiles[drug_name]["R"].add(strain_id)
+            for strains_susc_token in strains_susc_tokens:
+                strain_id = strains_susc_token.strip("*")
+                if len(strain_id) > 0:
+                    res_profiles[drug_name]["S"].add(strain_id)
+        elif len(tokens) == 4:
+            strains_res_tokens = tokens[1].split(";")
+            strains_susc_tokens = tokens[2].split(";")
+            strains_int_tokens = tokens[3].split(";")
+            
+            for strains_res_token in strains_res_tokens:
+                strain_id = strains_res_token.strip("*")
+                if len(strain_id) > 0:
+                    res_profiles[drug_name]["R"].add(strain_id)
+            for strains_susc_token in strains_susc_tokens:
+                strain_id = strains_susc_token.strip("*")
+                if len(strain_id) > 0:
+                    res_profiles[drug_name]["S"].add(strain_id)
+            for strains_int_token in strains_int_tokens:
+                strain_id = strains_int_token.strip("*")
+                if len(strain_id) > 0:
+                    res_profiles[drug_name]["I"].add(strain_id)            
+    return res_profiles
+
+def loadResData(input_fh):
+    res_data_map = {}
+    
+    for line in input_fh.readlines():
+        if not line:
+            continue
+        tokens = line.strip().split("\t")
+        
+        if len(tokens) == 4:
+            try:
+                drug_name = tokens[0]
+                if len(drug_name) > 0 and drug_name[0] == "#":
+                    continue
+                
+                strain_id = tokens[1].replace("/", "")
+                res_info = tokens[2]
+                cite = tokens[3]
+                if not strain_id in res_data_map:
+                    res_data_map[strain_id] = {}
+                if not drug_name in res_data_map[strain_id]:
+                    res_data_map[strain_id][drug_name] = set([])
+                res_data_map[strain_id][drug_name].add((res_info, cite))
+            except:
+                print("ERROR", line)
+        elif len(tokens) == 5:
+            
+            try:
+                drug_name = tokens[0]
+                if len(drug_name) > 0 and drug_name[0] == "#":
+                    continue
+                
+                strain_id = tokens[1].replace("/", "")
+                res_info = tokens[2] + ":" + tokens[3]
+                cite = tokens[4]
+                if not strain_id in res_data_map:
+                    res_data_map[strain_id] = {}
+                if not drug_name in res_data_map[strain_id]:
+                    res_data_map[strain_id][drug_name] = set([])
+                res_data_map[strain_id][drug_name].add((res_info, cite))
+            except:
+                print("ERROR", line)   
+    return res_data_map
+
+def translateDataIntoResProfiles(res_data):
+    res_profiles = {}
+    for strain_id in res_data:
+        for drug_name in res_data[strain_id]:
+            if drug_name != "Penicillin1":
+                continue
+            res_count = 0 
+            susc_count = 0
+            int_count = 0 
+            unk_count = 0
+                
+            if not drug_name in res_profiles:
+                res_profiles[drug_name] = {}
+                res_profiles[drug_name]["R"] = set([])
+                res_profiles[drug_name]["S"] = set([])
+                res_profiles[drug_name]["I"] = set([])            
+            for (drug_res_info, cite_info) in res_data[strain_id][drug_name]:
+                tokens = drug_res_info.split(":")
+                
+                if tokens[0] == "R":
+                    res_count += 1 
+                elif tokens[0] == "S":
+                    susc_count += 1
+                elif tokens[0] == "I":
+                    int_count += 1
+                elif tokens[0] == "U":
+                    unk_count += 1
+            if res_count > 0 and susc_count == 0:
+                res_profiles[drug_name]["R"].add(strain_id)
+            elif res_count == 0 and susc_count > 0:
+                res_profiles[drug_name]["S"].add(strain_id)
+            elif res_count > 0 and susc_count > 0:
+                pass
+            elif int_count >0:
+                res_profiles[drug_name]["I"].add(strain_id)
+            elif unk_count > 0:
+                pass
+            else:
+                pass
+                                  
+    return res_profiles
+
+if __name__ == '__main__':
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    dataset = "em59"
+    dataset_dir = os.path.abspath("../camber-pred/datasets/"+dataset)+"/"
+
+    input_fh = open(dataset_dir + "strain_profiles_ord.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+
+    print(strains.strain_ids)
+
+    #res_profiles = translateDataIntoResProfiles(res_data)
+    
+  #  drug_name = "Cefotaxime"
+  
+    input_fh = open(dataset_dir + 'phylo_tree.txt')
+    tree = readPhyloTree(input_fh, strains)
+    input_fh.close()
+    
+    strain_dates_map = {}
+    
+    input_fh = open(dataset_dir + 'res_dates.txt')
+    for line in input_fh.readlines():
+        tokens = line.split()
+        strain_id = tokens[0]
+        date = tokens[1]
+        strain_dates_map[strain_id] = date
+    input_fh.close()
+    
+    print(strain_dates_map)
+   
+    output_fh = open(dataset_dir + 'phylo_tree_dates.txt', "w")
+    tree_dates = tree.root.toString(lengths=False, strains=strains, is_root=True, strains_map=strain_dates_map)
+    output_fh.write(tree_dates + "\n")
+    output_fh.close()
+   
\ No newline at end of file
diff --git a/other/visR/backup/show-mutations.py b/other/visR/backup/show-mutations.py
new file mode 100644
index 0000000..889fba0
--- /dev/null
+++ b/other/visR/backup/show-mutations.py
@@ -0,0 +1,259 @@
+import sys
+import os
+import copy
+import random
+from multiprocessing import Pool
+from ete2 import Tree
+from ete2 import PhyloTree
+from ete2.treeview.main import TreeStyle, NodeStyle, TreeStyle
+from ete2 import faces, layouts
+
+sys.path.append("../../")
+
+from soft.utils.camber_params_utils import *
+from ressoft.utils.file_utils import ensure_dir
+from soft.utils.camber_utils import *
+from ressoft.utils.stats_utils import *
+from ressoft.utils.generator import choose
+from ressoft.utils.pred_utils import *
+from ressoft.utils.input_utils import *
+from ressoft.utils.names_utils import *
+from ressoft.utils.output import *
+from ressoft.modelling.model_logic import *
+from ressoft.modelling.habib import *
+from ressoft.utils.pvalue_utlis import hyperTestPvalue
+from ressoft.utils.stats_utils import *
+from ressoft.utils.generator import choose
+from ressoft.utils.pred_utils import *
+from ressoft.utils.input_utils import *
+from ressoft.utils.names_utils import *
+from ressoft.utils.output import *
+
+nstyle = NodeStyle()
+#nstyle["shape"] = "sphere"
+nstyle["size"] = 10
+nstyle["fgcolor"] = "black"
+
+resstyle = NodeStyle()
+#resstyle["shape"] = "sphere"
+resstyle["size"] = 20
+resstyle["fgcolor"] = "red"
+
+suscstyle = NodeStyle()
+#nstyle["shape"] = "sphere"
+suscstyle["size"] = 20
+suscstyle["fgcolor"] = "green"
+
+dupFace = faces.ImgFace("./Xtr.png")
+
+
+
+#suscstyle = NodeStyle()
+#suscstyle["shape"] = "sphere"
+#suscstyle["size"] = 20
+#suscstyle["fgcolor"] = "green"
+#suscstyle["hz_line_type"] = 1
+#suscstyle["hz_line_color"] = "#cccccc"
+
+ts = TreeStyle()
+ts.show_leaf_name = True
+
+def allRanks(parameters):
+    dataset = parameters["D"] 
+    details = parameters["DETAILS"]
+    subset = parameters["SUBSET"]
+    hide = int(parameters["HIDE"]) 
+    theta = parameters["THETA"]
+    beta = int(parameters["BETA"])  
+    pred = parameters["PRED"]
+    dist = int(parameters["DIST"])
+    exp_prefix = parameters["EXP_PREFIX"]
+    grouping_type = parameters["GROUPING"] 
+    supp_type = parameters["SUPP_TYPE"]
+    rt = parameters["RT_PARAM"] 
+    m_type = parameters["TYPE"] 
+    type_param = parameters["TYPE"] 
+    
+    dataset_dir = os.path.abspath("../camber-pred/datasets/"+dataset)+"/"
+
+    ensure_dir(dataset_dir + "/det/")
+    ensure_dir(dataset_dir + "/ranks/")
+    ensure_dir(dataset_dir + "/det_trees/")
+    
+    input_fh = open(dataset_dir + "strains-all.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+    
+    input_fh = open(dataset_dir + 'phylo_tree.txt')
+    tree = readPhyloTree(input_fh, strains)
+    input_fh.close()
+    
+    input_fh = open(dataset_dir + "res_profiles_ret.txt")
+    res_profiles = readResistanceProfiles(input_fh, strains)
+    input_fh.close()
+    
+   # sptree = PhyloTree(species_tree_nw)
+    #recon_tree, events = genetree.reconcile(sptree)
+    #recon_tree.link_to_alignment(alg)
+    
+    # Visualize the reconciled tree
+    #recon_tree.show()
+    #recon_tree.render("phylotree.png", w=2000)
+
+    print("here")
+
+    gene_names = set([])
+    for drug_res_profile in res_profiles:
+        drug_name = drug_res_profile.drug_name
+        print(drug_name)
+        if drug_name != "Isoniazid":
+            continue
+        
+        tree.setObservedResProfile(drug_res_profile.full_profile)
+        calcSubleavesResCount(tree)
+        calcSubnodesCount(tree)
+    
+        newtree = removeUnResLeaves(tree)    
+        
+        tree_txt = newtree.root.toString(lengths = False, is_root=True, strains=strains)
+        
+        genetree = PhyloTree(tree_txt + ";")
+        
+        for node in genetree.traverse():
+            node.add_face(dupFace, 1)
+            node.add_face(dupFace, 2)
+            node.add_face(dupFace, 3)
+            #faces.add_face_to_node(dupFace, node, 0)
+            node.set_style(nstyle)
+
+        for strain_index in drug_res_profile.res_strains_ids:
+            strain_id = strains.getStrain(strain_index)
+            for n in genetree.get_leaves_by_name(strain_id):
+                n.set_style(resstyle)
+        
+        for strain_index in drug_res_profile.sc_strains_ids:
+            strain_id = strains.getStrain(strain_index)
+            for n in genetree.get_leaves_by_name(strain_id):
+                n.set_style(suscstyle)
+    
+        #genetree.show(tree_style = ts)
+                
+        input_res_fn = dataset_dir +"/det/"+str(exp_prefix)+"-"+str(hide)+"-"+str(dist)+"-"+grouping_type+"-"+details+"-"+subset+"-"+type_param+"-"+pred+"-"+str(beta)+"-"+str(theta)+"-0.0-P/"+drug_name+".txt"
+        if not os.path.exists(input_res_fn) or os.path.getsize(input_res_fn) < 100:
+            print("NOT EXIST: ", input_res_fn)
+            continue
+        input_res_fh = open(input_res_fn)
+        print("www")
+        
+        ret = readFeaturesOne(drug_name, strains, input_res_fh)
+        if ret == None:
+         #   print("None RETURNED: ", input_res_fn)
+            continue
+        hidden_strains, gene_profiles, target_genes, drug_res_genes, drug_res_rel = ret
+        
+        alignments = {}
+
+        for leaf_id in newtree.leaf_ids:
+            strain_id = strains.getStrain(leaf_id)
+            alignments[strain_id] = ""
+        
+        gene_profiles_sorted = sorted(gene_profiles, key=lambda gp:-gp.supports_map[supp_type])
+        for i in range(0, min(10, len(gene_profiles_sorted)), 1):
+            gene_profile = gene_profiles_sorted[i]
+            gp_score = gene_profile.supports_map[supp_type]
+            
+            print("XXXXX", drug_name, gene_profile.gene_name, gene_profile.gene_id)
+            
+            for strain_index in newtree.leaf_ids:
+                strain_id = strains.getStrain(strain_index)
+                alignments[strain_id] += gene_profile.full_profile[strain_index]
+        
+#        
+        fasta_txt = ""
+        for strain_id in alignments:
+            fasta_txt += ">" + strain_id + "\n" + alignments[strain_id] + "\n"
+#    
+        
+        genetree.link_to_alignment(alignment=fasta_txt, alg_format="fasta")
+        genetree.render(dataset_dir + "/det_trees/"+str(exp_prefix)+"-"+str(hide)+"-"+str(dist)+"-"+grouping_type+"-"+details+"-"+subset+"-"+type_param+"-"+pred+"-"+str(beta)+"-"+str(theta)+"-0.0-P-"+drug_name+ ".pdf")
+        genetree.show()
+    return None
+
+
+
+if __name__ == '__main__':
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    if "DATASET" in parameters and not parameters["D"] in ["mtb","sta"]:
+        dataset = parameters["D"]
+    else:
+        dataset = "spe"
+    dataset = "mtb79"
+        
+    if "W" in parameters:
+        WORKERS = int(parameters["W"])
+    else:
+        WORKERS = 1
+
+    dataset_dir = os.path.abspath("../camber-pred/datasets/"+dataset)+"/"
+    
+    ensure_dir(dataset_dir +"/trees/")
+
+    details_param = "S"
+    hide_param = 0
+    dist_params = ["0"]
+    exp_prefix = "FINAL5"
+    grouping_params = ["G"]
+    subset_param = "N"
+    pred_params = ["B"]
+    theta_params = ["0.5"]
+    type_params = ["S"]
+    rt_params = ["T"] 
+
+    TASKS = []
+    TASK = {}
+    for rt_param in rt_params:
+        for grouping_param in grouping_params:            
+            for theta_param in theta_params:
+                for dist_param in dist_params:
+                    for type_param in type_params:
+                        if type_param == "G" and dist_param == "20":
+                            continue
+                        for pred_param in pred_params:
+                            for beta_param in range(-1, 0, 1):
+                                for supp_type_param in ["tscore"]:
+                                    if supp_type_param != "tscore" and theta_param != "0.5":
+                                        continue  
+                                    TASK["D"] = dataset
+                                    TASK["PHASE"] = str(0)
+                                    TASK["DETAILS"] = str(details_param)
+                                    TASK["HIDE"] = str(hide_param)
+                                    TASK["DIST"] = str(dist_param)
+                                    TASK["GROUPING"] = str(grouping_param)
+                                    TASK["EXP_PREFIX"] = exp_prefix 
+                                    TASK["TYPE"] = type_param
+                                    TASK["PRED"] = pred_param
+                                    TASK["BETA"] = beta_param
+                                    TASK["THETA"] = theta_param  
+                                    TASK["SUPP_TYPE"] = supp_type_param
+                                    TASK["SUBSET"] = subset_param
+                                    TASK["RT_PARAM"] = rt_param
+                                    
+                                    TASKS.append(TASK.copy())
+                            
+    for TASK in TASKS:
+        print(TASK)
+        
+    if WORKERS > 1:                             
+        pool = Pool(processes=WORKERS)   
+        for r in pool.imap(allRanks, TASKS):
+            print(r)
+    else:
+        for T in TASKS:
+            allRanks(T)
+        
+    print("END")
+    
+    
+    
\ No newline at end of file
diff --git a/other/visR/backup/show-tree-mutations.py b/other/visR/backup/show-tree-mutations.py
new file mode 100644
index 0000000..fdcd6a4
--- /dev/null
+++ b/other/visR/backup/show-tree-mutations.py
@@ -0,0 +1,209 @@
+import sys
+import os
+import copy
+import random
+from multiprocessing import Pool
+from ete2 import Tree
+from ete2 import PhyloTree, TreeNode, TreeFace
+from ete2.treeview.main import TreeStyle, NodeStyle, TreeStyle
+from ete2 import faces, layouts
+
+sys.path.append("../../")
+
+from drsoft.utils.gwadrib_params_utils import *
+from drsoft.utils.gwadrib_res_io_utils import *
+from drsoft.utils.gwadrib_strains_io_utils import readStrains
+from drsoft.utils.gwadrib_utils import ensure_dir
+from drsoft.utils.gwadrib_tree_io_utils import readPhyloTrees
+from drsoft.modelling.model_logic import *
+
+mut_faces_map = {}
+img_path = "./"
+
+for i in range(1, 11, 1):
+    mut_fn = os.path.abspath("../../resources/muts/m"+str(i)+".png")
+    
+    if not os.path.exists(mut_fn):
+        print("not exists: ", mut_fn)
+    mut_faces_map[i] = faces.ImgFace(mut_fn)
+    
+print(mut_faces_map)
+
+resstyle = NodeStyle()
+resstyle["fgcolor"] = "#ffbeb1"
+resstyle["bgcolor"] = "#ffbeb1"
+
+suscstyle = NodeStyle()
+suscstyle["fgcolor"] = "lightgreen"
+suscstyle["bgcolor"] = "lightgreen"
+
+interstyle = NodeStyle()
+interstyle["fgcolor"] = "yellow"
+interstyle["bgcolor"] = "yellow"
+
+#def mylayout(node):
+#    if node.is_leaf():
+#        descFace = faces.TextFace(node.name, fsize=10)
+#        descFace.margin_top = 10
+#        descFace.margin_bottom = 10
+#        descFace.border.margin = 1
+#        faces.add_face_to_node(descFace, node, column=0, aligned=True)
+
+def showTreeMutations(params):
+    
+    drug_name = params["DRUG_NAME"]
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    
+    input_fh = open(input_dir + "strain_profiles_ord.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+    
+    input_fh = open(input_dir + "res_profiles.txt")
+    res_profiles_list = readResistanceProfiles(input_fh, load_int=True)
+    input_fh.close()
+    
+    ensure_dir(input_dir + "/res_muts/")
+    
+    input_fh = open(input_dir + 'phylo_tree.txt')
+    trees = readPhyloTrees(input_fh, strains)
+    input_fh.close()
+    
+    tree = trees[0]
+    
+    res_profile = None
+    for res_profile_tmp in res_profiles_list:
+        if res_profile_tmp.drug_name == drug_name:
+            res_profile = res_profile_tmp
+    
+    full_profile = res_profile.full_profile
+    tree.setObservedResProfile(full_profile)
+    tree.calcInnerNodesBU()
+    calcSubleavesResCount(tree)
+    calcSubnodesCount(tree)
+    
+    newtree = removeUnResLeaves(tree)
+    newtree.calcInnerNodesBU()
+    calcSubleavesResCount(newtree)
+    calcSubnodesCount(newtree)
+    calcDetParsResModel(newtree)
+   
+    phylotree = Tree(newtree.toString(strains=strains) + ";")
+    
+    mut_id = 0
+    input_fn = results_dir + "/trees_data/" + drug_name + ".txt"
+    input_fh = open(input_fn)
+    lines = input_fh.readlines()
+    input_fh.close()
+
+    line0 = lines[0]
+    tokens = line0.strip().split()
+    
+    if len(tokens) < 1: exit()
+    for mut_token in tokens:
+        strain_id_tokens = mut_token.split(";")
+        strain_ids = []
+        for strain_index_str in strain_id_tokens:
+            strain_ids.append(strains.getStrain(int(strain_index_str)))
+        nodes_list = []
+        for strain_id in strain_ids:
+            nodes_list.append(phylotree.get_leaves_by_name(strain_id)[0])
+        node0 = nodes_list[0]
+        node = node0.get_common_ancestor(node0)
+        for node1 in nodes_list[1:]:
+            node = node.get_common_ancestor(node1)
+        if phylotree.get_tree_root() == node:
+            nodes_list = phylotree.get_leaves_by_name(strain_ids[0])
+            for node in nodes_list:
+               # faces.add_face_to_node(mut_faces_map[mut_index], node, column=2)
+             #   node.add_face(mut_faces_map[mut_id], 0)
+                node.set_style(resstyle)
+                #node.add_face(mut_faces_map[mut_id], 0)
+        else:
+          #  faces.add_face_to_node(mut_faces_map[mut_index], node, column=2)
+            node.set_style(resstyle)  
+            #node.add_face(mut_faces_map[mut_id], 0)
+    
+    
+    for line in lines[1:]:
+        mut_id += 1
+        if mut_id > 10:
+            break
+        tokens = line.strip().split()
+        if len(tokens) < 1: continue
+        for mut_token in tokens:
+            strain_id_tokens = mut_token.split(";")
+            strain_ids = []
+            for strain_index_str in strain_id_tokens:
+                strain_ids.append(strains.getStrain(int(strain_index_str)))
+            nodes_list = []
+            for strain_id in strain_ids:
+                nodes_list.append(phylotree.get_leaves_by_name(strain_id)[0])
+            node0 = nodes_list[0]
+            node = node0.get_common_ancestor(node0)
+            for node1 in nodes_list[1:]:
+                node = node.get_common_ancestor(node1)
+            if phylotree.get_tree_root() == node:
+                nodes_list = phylotree.get_leaves_by_name(strain_ids[0])
+                for node in nodes_list:
+                   # faces.add_face_to_node(mut_faces_map[mut_index], node, column=2)
+                    node.add_face(mut_faces_map[mut_id], 0)
+                    #node.add_face(mut_faces_map[mut_id], 0)
+            else:
+              #  faces.add_face_to_node(mut_faces_map[mut_index], node, column=2)
+#                if getattr(node, "_temp_faces", None): 
+#                    print("xxx")
+#                    getattr(node._temp_faces, 0).add_face(mut_faces_map[mut_id], 0)
+
+                node.add_face(mut_faces_map[mut_id], 0)
+
+        
+    ts = TreeStyle()
+   # ts.show_leaf_name = False
+   # ts.layout_fn = mylayout
+   # ts.mode = "c"
+    phylotree.render(results_dir +"/trees_muts_pdf/"+drug_name + ".pdf", tree_style=ts)
+    #phylotree.show(tree_style=ts)
+    
+    return None
+
+    
+if __name__ == '__main__':
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+        
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+        
+    ensure_dir(results_dir +"/trees_muts_pdf/")
+    
+    input_fh = open(input_dir + "res_profiles.txt")
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    
+    WORKERS = 1#int(parameters["W"])
+
+    TASKS = []
+    
+    TASK = {}
+    count = 0
+
+    for drug_name in drug_names:
+        TASK["DRUG_NAME"] = drug_name
+        TASKS.append(TASK.copy())
+                                                  #  scoreDrug(TASK)
+    for TASK in TASKS:
+        print(TASK)
+    if WORKERS > 1:                               
+        pool = Pool(processes=WORKERS)   
+        for r in pool.imap(showTreeMutations, TASKS):
+            print(r)
+    else:
+        for T in TASKS:
+            showTreeMutations(T)
+
diff --git a/other/visR/backup/show-tree-mutations_new.py b/other/visR/backup/show-tree-mutations_new.py
new file mode 100644
index 0000000..a998229
--- /dev/null
+++ b/other/visR/backup/show-tree-mutations_new.py
@@ -0,0 +1,206 @@
+import sys
+import os
+import copy
+import random
+from multiprocessing import Pool
+from ete2 import Tree
+from ete2 import PhyloTree
+from ete2.treeview.main import TreeStyle, NodeStyle, TreeStyle
+from ete2 import faces, layouts
+
+sys.path.append("../../")
+
+
+mut_faces_map = {}
+
+for i in range(1, 11, 1):
+    mut_fn = "../../resources/muts/m"+str(i)+".png"
+    if not os.path.exists(mut_fn):
+        print("not exists: ", mut_fn)
+    mut_faces_map[i] = faces.ImgFace(mut_fn)
+
+print(mut_faces_map)
+
+resstyle = NodeStyle()
+resstyle["fgcolor"] = "#ffbeb1"
+resstyle["bgcolor"] = "#ffbeb1"
+
+suscstyle = NodeStyle()
+suscstyle["fgcolor"] = "lightgreen"
+suscstyle["bgcolor"] = "lightgreen"
+
+interstyle = NodeStyle()
+interstyle["fgcolor"] = "yellow"
+interstyle["bgcolor"] = "yellow"
+
+nameFace = faces.AttrFace("name", fsize=20, fgcolor="#009000")
+
+img_path = "./"
+# Create faces based on external images
+humanFace = faces.ImgFace(img_path+"human.png")
+mouseFace = faces.ImgFace(img_path+"mouse.png")
+dogFace = faces.ImgFace(img_path+"dog.png")
+chimpFace = faces.ImgFace(img_path+"chimp.png")
+fishFace = faces.ImgFace(img_path+"fish.png")
+flyFace = faces.ImgFace(img_path+"fly.png")
+
+
+def mylayout(node):
+    # If node is a leaf, add the nodes name and a its scientific
+    # name
+    if node.is_leaf():
+        # Add an static face that handles the node name
+        faces.add_face_to_node(nameFace, node, column=0)
+        # We can also create faces on the fly
+        longNameFace = faces.TextFace(node.name)
+        faces.add_face_to_node(longNameFace, node, column=0)
+
+        # text faces support multiline. We add a text face
+        # with the whole description of each leaf.
+        descFace = faces.TextFace(node.name, fsize=10)
+        descFace.margin_top = 10
+        descFace.margin_bottom = 10
+        descFace.border.margin = 1
+
+        # Note that this faces is added in "aligned" mode
+        faces.add_face_to_node(descFace, node, column=0, aligned=True)
+
+        # Sets the style of leaf nodes
+        node.img_style["size"] = 12
+        node.img_style["shape"] = "circle"
+    #If node is an internal node
+    else:
+        # Sets the style of internal nodes
+        pass
+#        node.img_style["size"] = 6
+#        node.img_style["shape"] = "circle"
+#        node.img_style["fgcolor"] = "#000000"
+
+    # If an internal node contains more than 4 leaves, add the
+    # images of the represented species sorted in columns of 2
+    # images max.
+    if len(node)>=4:
+        col = 0
+        for i, name in enumerate(set(node.get_leaf_names())):
+            if i>0 and i%2 == 0:
+                col += 1
+            # Add the corresponding face to the node
+            if name.startswith("Dme"):
+                faces.add_face_to_node(flyFace, node, column=col)
+            elif name.startswith("Dre"):
+                faces.add_face_to_node(fishFace, node, column=col)
+            elif name.startswith("Mms"):
+                faces.add_face_to_node(mouseFace, node, column=col)
+            elif name.startswith("Ptr"):
+                faces.add_face_to_node(chimpFace, node, column=col)
+            elif name.startswith("Hsa"):
+                faces.add_face_to_node(humanFace, node, column=col)
+            elif name.startswith("Cfa"):
+                faces.add_face_to_node(dogFace, node, column=col)
+
+            # Modifies this node's style
+            node.img_style["size"] = 16
+            node.img_style["shape"] = "sphere"
+            node.img_style["fgcolor"] = "#AA0000"
+
+            
+def showTreeMutations(parameters):
+
+    nw = """
+    (((Dre:0.008339,Dme:0.300613)1.000000:0.596401,
+    (Cfa:0.640858,Hsa:0.753230)1.000000:0.182035)1.000000:0.106234,
+    ((Dre:0.271621,Cfa:0.046042)1.000000:0.953250,
+    (Hsa:0.061813,Mms:0.110769)1.000000:0.204419)1.000000:0.973467);
+    """
+    t = Tree(nw)
+
+    ts = TreeStyle()
+    ts.layout_fn = mylayout
+    t.render("img_faces.png", w=600, tree_style = ts)
+    t.show(tree_style = ts)
+    
+    return None
+#    
+#    muts = {}
+#    input_fn = dataset_dir +"/tree_mapping/"+drug_name+"_muts"+".txt"
+#    input_fh = open(input_fn)
+#    for line in input_fh.readlines():
+#        tokens = line.strip().split()
+#        if len(tokens) < 2:
+#            continue
+#        mut_id = tokens[0]
+#        if not mut_id in muts:
+#            muts[mut_id] = set([])
+#        for i in range(1, len(tokens), 1):
+#            muts[mut_id].add(tokens[i])
+#        
+#    input_fh.close()
+
+#    try:
+#        mut_index = 1
+#        
+#        for mut_id in muts:
+#            
+#            for leaf_tokens in muts[mut_id]:
+#                node = phylotree.get_common_ancestor(leaf_tokens.split(";"))
+#                if phylotree.get_tree_root() == node:
+#                    nodes_list = phylotree.get_leaves_by_name(leaf_tokens.split(";")[0])
+#                    for node in nodes_list:
+#                        print("here", node)
+#                       # faces.add_face_to_node(mut_faces_map[mut_index], node, column=2)
+#                        node.add_face(mut_faces_map[mut_index], 1)
+#
+#                else:
+#                  #  faces.add_face_to_node(mut_faces_map[mut_index], node, column=2)
+#                    print("www", node)
+#                    node.add_face(mut_faces_map[mut_index], 1)
+#           #     faces.add_face_to_node(mut_faces_map[mut_index], phylotree.get_tree_root(), column=1)
+#                #phylotree.add_face(mut_faces_map[mut_index], phylotree.get_tree_root(), 1)
+#                   
+#            mut_index += 1
+#
+#      #  phylotree.get_tree_root().set_style(resstyle)   
+#        
+#    except Exception as e:
+#        print("exception ! ", e)
+#        print(drug_name)
+#
+#    phylotree.get_tree_root().add_face(faces.ImgFace(mut_fn), 0)
+#    phylotree.get_tree_root().set_style(suscstyle)
+#
+#    ress = set([])
+#    input_fn = dataset_dir +"/tree_mapping/"+drug_name+"_res"+".txt"
+#    input_fh = open(input_fn)
+#    for line in input_fh.readlines():
+#        tokens = line.strip().split()
+#        if len(tokens) < 2:
+#            continue
+#        for i in range(0, len(tokens), 1):
+#            ress.add(tokens[i])
+#    input_fh.close()
+#
+#    try:
+#        for leaf_tokens in ress:
+#            node = phylotree.get_common_ancestor(leaf_tokens.split(";"))
+#            if phylotree.get_tree_root() == node:
+#                nodes_list = phylotree.get_leaves_by_name(leaf_tokens.split(";")[0])
+#                for node in nodes_list:
+#                    node.set_style(resstyle)
+#            else:
+#                node.set_style(resstyle)
+#    
+#
+#    except Exception as e:
+#        print(e)
+#        print(drug_name)
+#        
+
+
+    
+
+    
+if __name__ == '__main__':
+    
+                                                  #  scoreDrug(TASK)
+    showTreeMutations({})
+
diff --git a/other/visR/backup/test.svg b/other/visR/backup/test.svg
new file mode 100644
index 0000000..4bdfd1a
--- /dev/null
+++ b/other/visR/backup/test.svg
@@ -0,0 +1,2666 @@
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+<text fill="#009000" fill-opacity="1" stroke="none" xml:space="preserve" x="0" y="27" font-family="Verdana" font-size="20" font-weight="400" font-style="normal" 
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+>
+<text fill="#000000" fill-opacity="1" stroke="none" xml:space="preserve" x="0" y="13" font-family="Verdana" font-size="10" font-weight="400" font-style="normal" 
+ >Dre</text>
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+>
+<text fill="#000000" fill-opacity="1" stroke="none" xml:space="preserve" x="0" y="13" font-family="Arial" font-size="10" font-weight="400" font-style="normal" 
+ >Dre</text>
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+>
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+>
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+<text fill="#009000" fill-opacity="1" stroke="none" xml:space="preserve" x="0" y="27" font-family="Verdana" font-size="20" font-weight="400" font-style="normal" 
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+>
+<text fill="#000000" fill-opacity="1" stroke="none" xml:space="preserve" x="0" y="13" font-family="Verdana" font-size="10" font-weight="400" font-style="normal" 
+ >Cfa</text>
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+>
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+>
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diff --git a/other/visR/backup/where-located.py b/other/visR/backup/where-located.py
new file mode 100644
index 0000000..42f4a2c
--- /dev/null
+++ b/other/visR/backup/where-located.py
@@ -0,0 +1,96 @@
+import sys
+import os
+import copy
+
+from multiprocessing import Pool
+
+sys.path.append("../../")
+from ressoft.utils.pvalue_utlis import hyperTestPvalue
+
+from ressoft.utils.stats_utils import *
+from ressoft.utils.generator import choose
+from ressoft.utils.pred_utils import *
+from ressoft.utils.input_utils import *
+from ressoft.utils.names_utils import *
+from ressoft.utils.output import *
+
+def readParameters(param_tab):
+    parameters = {}
+    for param_el in param_tab:
+        tokens = param_el.split("=")
+        if len(tokens)==2:
+            key = tokens[0]
+            value = tokens[1]
+            parameters[key] = value
+        
+    return parameters
+
+
+parameters = readParameters(sys.argv)
+species = "sta_plas8"
+
+phase = 0
+input_dir = os.path.abspath("../../../data_input/"+species+"_res/")+"/"
+output_dir = os.path.abspath("../../../data_output/"+species+"_out/")+"/"
+
+input_fh = open(input_dir + "strains-all.txt")
+strains = readStrains(input_fh)
+input_fh.close()
+
+def readCCPresence(cluster_fh, strains):
+    input_lines = cluster_fh.readlines()
+    cc_presence = {}
+    
+    if len(input_lines) == 0:
+        return None
+    else:
+        for line in input_lines:
+            tokens = line.split()
+            if tokens[3] in ["+", "-"]:
+                #print("XXX", tokens0)
+                strain_id = tokens[1]
+                cc_id = tokens[0]
+                genome_id = tokens[4]
+                gene_id = tokens[5]
+                if not cc_id in cc_presence:
+                    cc_presence[cc_id] = {}
+                if not strain_id in cc_presence[cc_id]:
+                    cc_presence[cc_id][strain_id] = {}
+                if not genome_id in cc_presence[cc_id][strain_id]:
+                    cc_presence[cc_id][strain_id][genome_id] = set([])
+                cc_presence[cc_id][strain_id][genome_id].add(gene_id)
+    return cc_presence
+            #return readClusters1(input_lines, strains)
+def readPlasmidMapping(input_fh):
+    plasmid_mapping = {}
+    for line in input_fh.readlines():
+        if not line:
+            continue
+        tokens = line.split()
+        if len(tokens) < 2:
+            continue
+        plasmid_id = tokens[0]
+        strain_id = tokens[1]
+        if not plasmid_id in plasmid_mapping:
+            plasmid_mapping[plasmid_id] = strain_id
+    return plasmid_mapping
+
+cluster_fh = open(input_dir + "conn_comp-det-"+str(phase)+".txt")
+cc_presence = readCCPresence(cluster_fh, strains)
+cluster_fh.close()
+
+   
+input_fh = open(input_dir + "plasmids.txt")
+plasmid_map = readPlasmidMapping(input_fh)
+input_fh.close()   
+
+for cc_id in cc_presence:
+    if cc_id in ["2400"]:
+        for strain_id in cc_presence[cc_id]:
+            for genome_id in cc_presence[cc_id][strain_id]:
+                if genome_id in plasmid_map:
+                    print("PLASMID", cc_id, strain_id, cc_presence[cc_id][strain_id][genome_id])
+                else:
+                    print("GENOME", cc_id, strain_id, cc_presence[cc_id][strain_id][genome_id])
+                    
+                    
diff --git a/other/visR/curves/.fuse_hidden000185b700000003 b/other/visR/curves/.fuse_hidden000185b700000003
new file mode 100644
index 0000000..bcf89a4
--- /dev/null
+++ b/other/visR/curves/.fuse_hidden000185b700000003
@@ -0,0 +1,116 @@
+#install.packages(
+require(graphics); require(grDevices);
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+
+args <- commandArgs(trailingOnly = TRUE)
+
+
+
+if (length(args) >=1) {
+	dataset = args[1]
+} else {
+	#dataset="sau461"
+	#dataset = "mtu173"
+	dataset = "broad_mtb"
+}
+
+if (length(args) >= 2) {
+	mut_type = args[2]
+} else {
+	mut_type = "P"
+}
+
+if (length(args) >= 3) {
+	subset = args[3]
+} else {
+	subset = "eq1"
+}
+
+if (length(args) >= 4) {
+	prefix = args[4]
+} else {
+	if (Sys.info()["sysname"] == "Linux") {
+		prefix = "/home/misias/gwadrib/"
+	} else {
+		prefix = "D:/Dropbox/Dropbox/gwadrib/"
+	}
+}
+
+inputdir = paste(prefix,"datasets/",dataset,"/ex",mut_type,"/analysis/stats_", subset, "/", sep="")
+
+score_files = list.files(path = inputdir)
+
+print(score_files)
+
+score_areas = c()
+score_colors = c()
+
+outdir = paste(prefix,"datasets/",dataset,"/ex",mut_type,"/analysis/figures/", sep="")
+dir.create(outdir, showWarnings = FALSE)
+#x11()
+output_fn = paste(outdir, "/pr_",dataset, "_", subset, ".pdf", sep="")
+pdf(output_fn, width=18,height=10)
+
+input_fn = paste(inputdir, "/",score_files[1], sep="")
+data = read.table(input_fn, header=FALSE, sep="\t")
+
+if (dataset == "broad_mtb") {
+	positives = 75
+	negatives = 870
+} else if (dataset == "mtu173") {
+	positives = 39
+	negatives = 1450
+} else if (ncol(data) > 4) {
+	positives = data[1,1] + data[1,4]
+	negatives = data[1,2] + data[1,3]
+} else {
+	positives = 0
+	negatives = 0
+}
+
+main_txt = paste("PR curves; positives: ", toString(positives), "; negatives: " , toString(negatives), sep="")
+
+plot(c(), xlab="tpr (recall) = TP/(TP+FN)", ylab="precision = TP/(TP+FP)", main=main_txt, xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+
+for (score_file in score_files) {
+	score = score_file
+
+	if !(score %in% c()){
+		next
+	}
+
+	input_fn = paste(inputdir, "/",score_file, sep="")
+	data = read.table(input_fn, header=FALSE, sep="\t")
+
+	prec = c(data[1,2], data[,2])
+	recall = c(0.0, data[,3])
+	n = length(prec)
+
+
+	area = 0.0
+
+	for (i in 2:n) {
+		area = area + 0.5*(prec[i] + prec[i-1])*(recall[i]-recall[i-1])
+	}
+
+	color = rgb(runif(1),runif(1),runif(1)) 
+
+	score_desc = paste(score, " [AUC=" , round(area,2) , "]", sep="")
+	score_areas[[score_desc]] = area
+	score_colors[[score_desc]] = color
+
+	points(prec~recall, col=color, pch=18, lwd=1.5, type="l", xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+}
+
+score_desc_sorted = names(sort(score_areas, decreasing = T))
+score_colors_sorted = c()
+
+for (score_desc in score_desc_sorted) {
+	score_colors_sorted = c(score_colors_sorted, score_colors[[score_desc]])		
+}
+
+legend("topright", fill=score_colors_sorted, legend = score_desc_sorted, ncol=4)
+
+dev.off()
+
diff --git a/other/visR/curves/pr_bars.R b/other/visR/curves/pr_bars.R
new file mode 100644
index 0000000..76ff9c4
--- /dev/null
+++ b/other/visR/curves/pr_bars.R
@@ -0,0 +1,80 @@
+#install.packages(
+require(graphics); require(grDevices);
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+
+args <- commandArgs(trailingOnly = TRUE)
+
+if (length(args) >=1) {
+	dataset = args[1]
+} else {
+	#dataset="sau461"
+	#dataset = "mtu173"
+	dataset = "broad_mtb"
+}
+
+if (length(args) >= 2) {
+	mut_type = args[2]
+} else {
+	mut_type = "P"
+}
+
+if (length(args) >= 3) {
+	subset = args[3]
+} else {
+	subset = "sel3"
+}
+
+if (length(args) >= 4) {
+	prefix = args[4]
+} else {
+	if (Sys.info()["sysname"] == "Linux") {
+		prefix = "/home/misias/gwadrib/"
+	} else {
+		prefix = "D:/Dropbox/Dropbox/gwadrib/"
+	}
+}
+
+input_fn = paste(prefix,"datasets/",dataset,"/ex",mut_type,"/comparison/", subset, ".txt", sep="")
+print(input_fn)
+#score_files = list.files(path = inputdir)
+#print(score_files)
+
+
+outdir = paste(prefix,"datasets/",dataset,"/ex",mut_type,"/comparison/figures/", sep="")
+dir.create(outdir, showWarnings = FALSE)
+
+#input_fn = paste(inputdir, "/",score_files[1], sep="")
+data = read.table(input_fn, header=TRUE, sep="\t")
+
+if (dataset == "broad_mtb") {
+	if (subset == "sel3") {
+		positives = 75
+		negatives = 870
+	} else {
+		positives = 220
+		negatives = 725
+	}
+} else if (dataset == "mtu173") {
+	if (subset == "sel3") {
+		positives = 39
+		negatives = 1450
+	} else {
+		positives = 113
+		negatives = 1376	
+	}
+} else if (ncol(data) > 4) {
+	positives = data[1,1] + data[1,4]
+	negatives = data[1,2] + data[1,3]
+} else {
+	positives = 0
+	negatives = 0
+}
+
+scores_sel = c("mi_x0", "or_x0", "lh_x0", "r.fcctw2_x0", "ws_x0")
+
+output_fn = paste(outdir, "/pr_bars_",dataset, "_", subset, ".pdf", sep="")
+pdf(output_fn, width=18,height=10)
+boxplot(data[, scores_sel], par=2)
+#boxplot(data[,], par=2)
+dev.off()
diff --git a/other/visR/curves/pr_scores_paper.R b/other/visR/curves/pr_scores_paper.R
new file mode 100644
index 0000000..a8380f2
--- /dev/null
+++ b/other/visR/curves/pr_scores_paper.R
@@ -0,0 +1,151 @@
+#install.packages(
+require(graphics); require(grDevices);
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+
+args <- commandArgs(trailingOnly = TRUE)
+
+scoreFullName <- function(score) {
+	score_full = score
+	if (score == "mi") {
+		score_full = "mutual information";
+	} else if (score == "or") {
+		score_full = "odds ratio";
+	} else if (score == "lh") {
+		score_full = "hypergeometric score";
+	} else if (score == "r-fcctw2") {
+		score_full = "tree-generalized hypergeomtric score"
+	} else if (score == "ws"){
+		score_full = "weighted support"
+	} else if(score == "ws+lh+r-fcctw2+mi+or") {
+		score_full = "combined"
+	}
+	return(score_full);
+}
+
+if (length(args) >= 2) {
+	mut_type = args[2]
+} else {
+	mut_type = "P"
+}
+
+if (length(args) >= 3) {
+	subset = args[3]
+} else {
+	subset = "sel3"
+}
+
+if (length(args) >= 4) {
+	prefix = args[4]
+} else {
+	if (Sys.info()["sysname"] == "Linux") {
+		prefix = "/home/misias/gwadrib/"
+	} else {
+		prefix = "D:/Dropbox/Dropbox/gwadrib/"
+	}
+}
+
+
+outdir = paste(prefix,"datasets/paper/", sep="")
+dir.create(outdir, showWarnings = FALSE)
+
+output_fn = paste(outdir, "/pr_", subset, ".pdf", sep="")
+pdf(output_fn, width=18,height=10)
+par(mfrow=c(1,2))
+
+for (dataset in c("mtu173", "broad_mtb")) {
+
+	inputdir = paste(prefix,"datasets/",dataset,"/ex",mut_type,"/comparison/stats_", subset, "/", sep="")
+
+	print(inputdir)
+	score_files = list.files(path = inputdir)
+
+	print(score_files)
+
+	score_areas = c()
+	score_colors = c()
+
+	input_fn = paste(inputdir, "/ws/0.txt", sep="")
+	print(input_fn)
+
+	data = read.table(input_fn, header=FALSE, sep="\t")
+
+	print("read")
+
+	if (dataset == "broad_mtb") {
+		if (subset == "sel3") {
+			positives = 75
+			negatives = 870
+		} else {
+			positives = 220
+			negatives = 725
+		}
+	} else if (dataset == "mtu173") {
+		if (subset == "sel3") {
+			positives = 39
+			negatives = 1450
+		} else {
+			positives = 113
+			negatives = 1376	
+		}
+	} else if (ncol(data) > 4) {
+		positives = data[1,1] + data[1,4]
+		negatives = data[1,2] + data[1,3]
+	} else {
+		positives = 0
+		negatives = 0
+	}
+
+	scores = c("mi", "or", "r-fcctw2", "ws", "lh")
+	#scores = c("mi_x0", "or_x0", "r-fcctw2_x0", "ws_x0", "lh_x0")
+
+	if (dataset == "mtu173"){ 
+		main_txt = paste("PR curves for the mtu173 dataset: ", toString(positives), " positives; " , toString(negatives), " negatives", sep="")
+	} else {
+		main_txt = paste("PR curves for the mtu_broad dataset: ", toString(positives), " positives; " , toString(negatives), " negatives", sep="")
+	}
+	plot(c(), cex.main=1.5, cex.lab = 1.3, xlab="tpr (recall) = TP/(TP+FN)", ylab="precision = TP/(TP+FP)", main=main_txt, xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+
+	for (score_file in score_files) {
+		score = strsplit(score_file, "[.]")[[1]][1]
+		print(score)
+
+		if (score %in% scores){
+
+			input_fn = paste(inputdir, "/",score,".txt", sep="")
+			print(input_fn)
+			data = read.table(input_fn, header=FALSE, sep="\t")
+
+			prec = c(data[1,2], data[,2])
+			recall = c(0.0, data[,3])
+			n = length(prec)
+
+			area = 0.0
+
+			for (i in 2:n) {
+				area = area + 0.5*(prec[i] + prec[i-1])*(recall[i]-recall[i-1])
+			}
+
+			color = rgb(runif(1),runif(1),runif(1)) 
+
+			score_full = scoreFullName(score)
+			score_desc = paste(score_full, " [AUC=" , round(area,2) , "]", sep="")
+			score_areas[[score_desc]] = area
+			score_colors[[score_desc]] = color
+
+			points(prec~recall, col=color, pch=18, lwd=1.5, type="l", xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+		}
+	}
+
+	score_desc_sorted = names(sort(score_areas, decreasing = T))
+	score_colors_sorted = c()
+
+	for (score_desc in score_desc_sorted) {
+		score_colors_sorted = c(score_colors_sorted, score_colors[[score_desc]])		
+	}
+
+	legend("topright", fill=score_colors_sorted, legend = score_desc_sorted, ncol=1, cex=1.2)
+
+}
+dev.off()
+
diff --git a/other/visR/curves/pr_scores_rand.R b/other/visR/curves/pr_scores_rand.R
new file mode 100644
index 0000000..74cf335
--- /dev/null
+++ b/other/visR/curves/pr_scores_rand.R
@@ -0,0 +1,151 @@
+#install.packages(
+require(graphics); require(grDevices);
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+
+args <- commandArgs(trailingOnly = TRUE)
+
+scoreFullName <- function(score) {
+	score_full = score
+	if (score == "mi") {
+		score_full = "mutual information";
+	} else if (score == "or") {
+		score_full = "odds ratio";
+	} else if (score == "lh") {
+		score_full = "hypergeometric score";
+	} else if (score == "r-fcctw2") {
+		score_full = "tree-generalized hypergeomtric score"
+	} else if (score == "ws"){
+		score_full = "weighted support"
+	} else if(score == "ws+lh+r-fcctw2+mi+or") {
+		score_full = "combined"
+	}
+	return(score_full);
+}
+
+if (length(args) >=1) {
+	dataset = args[1]
+} else {
+	#dataset="sau461"
+	#dataset = "mtu173"
+	dataset = "broad_mtb"
+}
+
+if (length(args) >= 2) {
+	mut_type = args[2]
+} else {
+	mut_type = "P"
+}
+
+if (length(args) >= 3) {
+	subset = args[3]
+} else {
+	subset = "eq1"
+}
+
+if (length(args) >= 4) {
+	prefix = args[4]
+} else {
+	if (Sys.info()["sysname"] == "Linux") {
+		prefix = "/home/misias/gwadrib/"
+	} else {
+		prefix = "D:/Dropbox/Dropbox/gwadrib/"
+	}
+}
+
+inputdir = paste(prefix,"datasets/",dataset,"/ex",mut_type,"/comparison/stats_", subset, "/", sep="")
+
+print(inputdir)
+score_files = list.files(path = inputdir)
+
+print(score_files)
+
+score_areas = c()
+score_colors = c()
+
+outdir = paste(prefix,"datasets/",dataset,"/ex",mut_type,"/comparison/figures/", sep="")
+dir.create(outdir, showWarnings = FALSE)
+#x11()
+output_fn = paste(outdir, "/pr_",dataset, "_", subset, ".pdf", sep="")
+pdf(output_fn, width=18,height=10)
+
+input_fn = paste(inputdir, "/ws/0.txt", sep="")
+print(input_fn)
+
+data = read.table(input_fn, header=FALSE, sep="\t")
+
+print("read")
+
+if (dataset == "broad_mtb") {
+	if (subset == "sel3") {
+		positives = 75
+		negatives = 870
+	} else {
+		positives = 220
+		negatives = 725
+	}
+} else if (dataset == "mtu173") {
+	if (subset == "sel3") {
+		positives = 39
+		negatives = 1450
+	} else {
+		positives = 113
+		negatives = 1376	
+	}
+} else if (ncol(data) > 4) {
+	positives = data[1,1] + data[1,4]
+	negatives = data[1,2] + data[1,3]
+} else {
+	positives = 0
+	negatives = 0
+}
+
+scores = c("mi", "or", "r-fcctw2", "ws", "lh", "ws+lh+r-fcctw2+mi+or")
+#scores = c("mi_x0", "or_x0", "r-fcctw2_x0", "ws_x0", "lh_x0")
+
+main_txt = paste("PR curves; positives: ", toString(positives), "; negatives: " , toString(negatives), sep="")
+
+plot(c(), cex.lab = 1.5, xlab="tpr (recall) = TP/(TP+FN)", ylab="precision = TP/(TP+FP)", main=main_txt, xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+
+for (score_file in score_files) {
+	score = strsplit(score_file, "[.]")[[1]][1]
+	print(score)
+
+	if (score %in% scores){
+
+		input_fn = paste(inputdir, "/",score,"/0.txt", sep="")
+		print(input_fn)
+		data = read.table(input_fn, header=FALSE, sep="\t")
+
+		prec = c(data[1,2], data[,2])
+		recall = c(0.0, data[,3])
+		n = length(prec)
+
+		area = 0.0
+
+		for (i in 2:n) {
+			area = area + 0.5*(prec[i] + prec[i-1])*(recall[i]-recall[i-1])
+		}
+
+		color = rgb(runif(1),runif(1),runif(1)) 
+
+		score_full = scoreFullName(score)
+		score_desc = paste(score_full, " [AUC=" , round(area,2) , "]", sep="")
+		score_areas[[score_desc]] = area
+		score_colors[[score_desc]] = color
+
+		points(prec~recall, col=color, pch=18, lwd=1.5, type="l", xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+	}
+}
+
+score_desc_sorted = names(sort(score_areas, decreasing = T))
+score_colors_sorted = c()
+
+for (score_desc in score_desc_sorted) {
+	score_colors_sorted = c(score_colors_sorted, score_colors[[score_desc]])		
+}
+
+legend("topright", fill=score_colors_sorted, legend = score_desc_sorted, ncol=1, cex=2)
+
+dev.off()
+
diff --git a/other/visR/curves/roc_scores_rand.R b/other/visR/curves/roc_scores_rand.R
new file mode 100644
index 0000000..36c8401
--- /dev/null
+++ b/other/visR/curves/roc_scores_rand.R
@@ -0,0 +1,108 @@
+#install.packages(
+require(graphics); require(grDevices);
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+
+args <- commandArgs(trailingOnly = TRUE)
+
+
+if (length(args) >=1) {
+	dataset = args[1]
+} else {
+	dataset = "mtu173"
+	#dataset = "broad_mtb"
+}
+
+if (length(args) >= 2) {
+	mut_type = args[2]
+} else {
+	mut_type = "P"
+}
+
+if (length(args) >= 3) {
+	subset = args[3]
+} else {
+	subset = "eq1"
+}
+
+if (length(args) >= 4) {
+	prefix = args[4]
+} else {
+	if (Sys.info()["sysname"] == "Linux") {
+		prefix = "/home/misias/gwadrib/"
+	} else {
+		prefix = "D:/Dropbox/Dropbox/gwadrib/"
+	}
+}
+
+## myScript.R
+
+inputdir = paste(prefix,"datasets/",dataset,"/ex",mut_type,"/comparison/stats_", subset, "/", sep="")
+
+score_files = list.files(path = inputdir)
+
+score_areas = c()
+score_colors = c()
+
+outdir = paste(prefix,"datasets/",dataset,"/ex",mut_type,"/comparison/figures/", sep="")
+
+output_fn = paste(outdir, "/roc_", dataset, "_", subset, ".pdf", sep="")
+pdf(output_fn, width=18,height=10)
+
+input_fn = paste(inputdir, "/",score_files[1],"/0.txt", sep="")
+print(input_fn)
+
+data = read.table(input_fn, header=FALSE, sep="\t")
+if (ncol(data) > 4) {
+	positives = data[1,1] + data[1,4]
+	negatives = data[1,2] + data[1,3]
+} else {
+	positives = 0
+	negatives = 0
+}
+
+main_txt = paste("ROC curves; positives: ", toString(positives), "; negatives: " , toString(negatives), sep="")
+plot(c(), xlab="fpr = FP/(FP+TN)", ylab="tpr (recall) = TP/(TP+FN)", main=main_txt, xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+
+for (score_file in score_files) {
+	print(score_file)
+	score = score_file
+	input_fn = paste(inputdir, "/",score_file,"/0.txt", sep="")
+	data = read.table(input_fn, header=FALSE, sep="\t")
+
+	fp = data[,2]
+	tn = data[,3]
+	fpr = fp/(fp+tn)
+	tpr = data[,6]
+
+	fpr = c(0.0, fpr)
+	tpr = c(0.0, tpr)
+	n = length(fpr)
+
+	area = 0.0
+
+	for (i in 2:n) {
+		area = area + 0.5*(tpr[i] + tpr[i-1])*(fpr[i]-fpr[i-1])
+	}
+
+	color = rgb(runif(1),runif(1),runif(1)) 
+
+	score_desc = paste(score, " [AUC=" , round(area,2) , "]", sep="")
+	score_areas[[score_desc]] = area
+	score_colors[[score_desc]] = color
+
+	points(tpr~fpr, col=color, pch=18, lwd=1.5, type="l", xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+}
+
+score_desc_sorted = names(sort(score_areas, decreasing = T))
+score_colors_sorted = c()
+
+for (score_desc in score_desc_sorted) {
+	score_colors_sorted = c(score_colors_sorted, score_colors[[score_desc]])		
+}
+
+legend("topright", fill=score_colors_sorted, legend = score_desc_sorted, ncol=4)
+
+dev.off()
+
+
diff --git a/other/visR/data_stats/data_abailable.R b/other/visR/data_stats/data_abailable.R
new file mode 100644
index 0000000..8b21348
--- /dev/null
+++ b/other/visR/data_stats/data_abailable.R
@@ -0,0 +1,30 @@
+#install.packages()
+2+2
+require(graphics); require(grDevices); require(corrgram); require(corrplot)
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "broad_mtb"
+data_fn = paste(dataset, "/data_available.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+
+
+
+data_mat = t(as.matrix(data[,c(2,3,4)]))
+colnames(data_mat) <- data[,1]
+
+par(mar=c(12,8,1,1), oma=c(0,0,1,1), mgp=c(5,5,0))
+x11()
+barplot(data_mat, col=c("green", "yellow", "red", "grey"), cex=0.8, cex.lab=1.5, cex.axis=1.5, cex.main=1.5, cex.sub=1.5, las=2, ylab="number of strains")
+axis(1, at=3*1:3-1, labels=data[,1], las=2, cex.axis=1.5, cex.lab=2.5, cex.sub=2.5, cex=2.5)
+legend(34, 1.05, c("PATRIC annotations", "PATRIC annotations after eCAMBer"), cex=1.8,  bty="n", fill=c("green", "yellow", "red"));
+#barplot(data_mat2, col=c("green"), beside=TRUE)
+#
+#data_mat2 = t(as.matrix(data[,c(6,9,8)]))
+#colnames(data_mat2) <- data[,1]
+#
+#barplot(data_mat2, col=c("red", "green", "blue"))
+
+
+
+#barplot(data_mat, col=c("red", "brown", "green", "blue", "orange"),main=paste("Method: ", m, sep = " "))
+#legend("topleft", c("TP", "TN", "FP", "FN", "NO"), cex=0.6,  bty="n", fill=c("red", "brown", "green", "blue", "orange"));
diff --git a/other/visR/data_stats/data_abailable_corr.R b/other/visR/data_stats/data_abailable_corr.R
new file mode 100644
index 0000000..4b85b44
--- /dev/null
+++ b/other/visR/data_stats/data_abailable_corr.R
@@ -0,0 +1,33 @@
+#install.packages()
+require(graphics); require(grDevices); require(corrgram); require(corrplot)
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "mtb79"
+data_fn = paste(dataset, "/data_available_corr.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+#data = data[,-1]
+
+x11()
+corrgram(data, order=TRUE, lower.panel=panel.shade, 
+		upper.panel=NULL, text.panel=panel.txt, 
+		main="Drug resistance profile correlations", cex=1.5)
+
+data_mat = t(as.matrix(data[,c(2,3,4)]))
+colnames(data_mat) <- data[,1]
+
+par(mar=c(12,8,1,1), oma=c(0,0,1,1), mgp=c(5,5,0))
+x11()
+barplot(data_mat, col=c("green", "red", "grey"), cex=0.8, cex.lab=1.5, cex.axis=1.5, cex.main=1.5, cex.sub=1.5, las=2, ylab="number of strains")
+axis(1, at=3*1:3-1, labels=data[,1], las=2, cex.axis=1.5, cex.lab=2.5, cex.sub=2.5, cex=2.5)
+legend(34, 1.05, c("PATRIC annotations", "PATRIC annotations after eCAMBer"), cex=1.8,  bty="n", fill=c("green", "red"));
+#barplot(data_mat2, col=c("green"), beside=TRUE)
+#
+#data_mat2 = t(as.matrix(data[,c(6,9,8)]))
+#colnames(data_mat2) <- data[,1]
+#
+#barplot(data_mat2, col=c("red", "green", "blue"))
+
+
+
+#barplot(data_mat, col=c("red", "brown", "green", "blue", "orange"),main=paste("Method: ", m, sep = " "))
+#legend("topleft", c("TP", "TN", "FP", "FN", "NO"), cex=0.6,  bty="n", fill=c("red", "brown", "green", "blue", "orange"));
diff --git a/other/visR/data_stats/data_corr.R b/other/visR/data_stats/data_corr.R
new file mode 100644
index 0000000..24a029c
--- /dev/null
+++ b/other/visR/data_stats/data_corr.R
@@ -0,0 +1,37 @@
+install.packages("corrgram")
+require(graphics); require(grDevices); require(corrgram)
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "../camber-pred/datasets/broad_mtb"
+drug_name="Rifampicin"
+#data_fn = paste(dataset, "/det_bin_comb_ranks/",drug_name,"/FINAL7_S.txt", sep="")
+data_fn = paste(dataset, "/det_bin_comb/",drug_name,"/FINAL7_S.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+
+x11()
+corrgram(data[,c("odds_ratio", "mi", "wsupport", "tscore")], order=TRUE, lower.panel=panel.shade, 
+		upper.panel=NULL, text.panel=panel.txt, 
+		main="Drug resistance core rankings correlations", cex=1.5)
+
+#corrgram(data[,c("odds_ratio", "mi", "wsupport", "tscore", "ranks_sum_score")], order=TRUE, lower.panel=panel.shade, 
+#		upper.panel=NULL, text.panel=panel.txt, 
+#		main="Drug resistance core rankings correlations", cex=1.5)
+
+plot(data[,"wsupport"], data[,"tscore"])
+
+data[,"ranks_sum_score"]
+
+#summary(data[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_a[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_h[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+
+
+cutoff = 100
+
+data_h_acc = (data_h[,"tscore"] < cutoff) + (data_h[,"mi"] < cutoff) + (data_h[,"odds_ratio"] < cutoff) + (data_h[,"wsupport"] < cutoff) + (data_h[,"ranks_sum_score"] < cutoff)
+data_h_top = data_h[data_h_acc >= 5,]
+summary(data_h_top[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+
+data_a_acc = (data_a[,"tscore"] < cutoff) + (data_a[,"mi"] < cutoff) + (data_a[,"odds_ratio"] < cutoff) + (data_a[,"wsupport"] < cutoff) + (data_a[,"ranks_sum_score"] < cutoff)
+data_a_top = data_a[data_a_acc >= 5,]
+summary(data_a_top[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
diff --git a/other/visR/data_stats/data_ranks.R b/other/visR/data_stats/data_ranks.R
new file mode 100644
index 0000000..646fcec
--- /dev/null
+++ b/other/visR/data_stats/data_ranks.R
@@ -0,0 +1,29 @@
+#install.packages()
+require(graphics); require(grDevices);
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "datasets/broad_mtb"
+data_fn = paste(dataset, "/ranks_bin_genes/FINAL7_P.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+
+#data = data[data[,"drug_name"] %in% c("Isoniazid", "Rifampicin", "Pyrazinamide", "Ethionamide", "Streptomycin"),]
+data = data[data[,"drug_name"] %in% c("Rifampicin", "Pyrazinamide"),]
+
+data_a = data[data[,"high"] == "Y" | data[,"all"] == "Y",]
+data_h = data[data[,"high"] == "Y",]
+
+#summary(data[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_a[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_h[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+
+cutoff = 200
+
+data_a_acc = (data_a[,"tscore"] < cutoff) + (data_a[,"mi"] < cutoff) + (data_a[,"odds_ratio"] < cutoff) + (data_a[,"wsupport"] < cutoff)
+data_a_top = data_a[data_a_acc >= 4,]
+summary(data_a_top[,c("tscore", "mi","odds_ratio", "wsupport", "tmow", "tmo", "to", "tow")])
+
+
+data_h_acc = (data_h[,"tscore"] < cutoff) + (data_h[,"mi"] < cutoff) + (data_h[,"odds_ratio"] < cutoff) + (data_h[,"wsupport"] < cutoff)
+data_h_top = data_h[data_h_acc >= 0,]
+summary(data_h_top[,c("tscore", "mi","odds_ratio", "wsupport", "tmow", "tmo", "to", "tow")])
+
diff --git a/other/visR/data_stats/panels_res_stats.R b/other/visR/data_stats/panels_res_stats.R
new file mode 100644
index 0000000..bc61d7e
--- /dev/null
+++ b/other/visR/data_stats/panels_res_stats.R
@@ -0,0 +1,60 @@
+require(graphics); require(grDevices)
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+
+dataset = "broad_mtb"
+data_fn = paste("../../../",dataset,"/stats/res_stats.txt", sep="")
+
+data = read.table(data_fn, header=F)
+
+output_fn = paste("../../../",dataset,"/figures/panels_f1.pdf", sep="")
+
+rows1 = (data[,2] >= 10 & data[,3] >= 10)
+rows2 = (data[,2] < 10 | data[,3] < 10)
+data_mat1 = t(as.matrix(data[rows1,c(2,3,4)]))
+data_mat2 = t(as.matrix(data[rows2,c(2,3,4)]))
+colnames(data_mat1) <- as.vector(data[rows1,1])
+colnames(data_mat2) <- as.vector(data[rows2,1])
+
+y1_lim = max(data_mat1[1,]+data_mat1[2,] + data_mat1[3,]) + 100
+y2_lim = max(data_mat2[1,]+data_mat2[2,] + data_mat2[3,]) + 100
+
+pdf(output_fn, width=18, height=10)
+par(mfrow=c(1,2))
+par(mar=c(17.5,7,1,0), oma=c(0,0,0,0), mgp=c(5,1,0))
+
+colors = c("green", "red", "yellow")
+
+b <- barplot(data_mat1[c(1,2,3),], col=colors, ylim=c(0, y1_lim), cex.lab=2.5, cex.axis=2.2, cex.sub=2.5, las=2, xaxt="n", ylab="# isolates")
+axis(1, at=1.2*1:length(colnames(data_mat1))-0.5, labels=colnames(data_mat1), las=2, cex.axis=2.2, cex.lab=2.5, cex.sub=2.5, cex=2.5)
+
+rect(12, 0.99*y_lim, 24, 0.72*y_lim, col="white")
+legend(12, 0.99*y_lim, pt.cex=0.1, bg="white", border="black",   
+		c("susceptible strains",
+				"resistant strains",
+				"intermediate-resistant strains"), 
+		text.width=c(5,5,5),
+		bty="n", box.lwd=c(0,0,0,0), cex=2.7,  fill=colors, y.intersp=0.7, x.intersp=0.1)
+
+text(x=b,y=(data_mat1[1,])-data_mat1[1,]/2-35, labels=data_mat1[1,], pos=3, col="black", cex=1)
+text(x=b,y=(data_mat1[1,]+data_mat1[2,])-data_mat1[2,]/2-35, labels=data_mat1[2,], pos=3, col="black", cex=1) 
+text(x=b,y=(data_mat1[1,]+data_mat1[2,]+data_mat1[3,])-data_mat1[3,]/2-10, labels=data_mat1[3,], pos=3, col="black", cex=1) 
+
+b <- barplot(data_mat2[c(1,2,3),], col=colors, ylim=c(0, y2_lim), cex.lab=2.5, cex.axis=2.2, cex.sub=2.5, las=2, xaxt="n", ylab="# isolates")
+axis(1, at=1.2*1:length(colnames(data_mat2))-0.5, labels=colnames(data_mat2), las=2, cex.axis=2.2, cex.lab=2.5, cex.sub=2.5, cex=2.5)
+
+rect(12, 0.99*y_lim, 24, 0.72*y_lim, col="white")
+legend(12, 0.99*y_lim, pt.cex=0.1, bg="white", border="black",   
+		c("susceptible strains",
+				"resistant strains",
+				"intermediate-resistant strains"), 
+		text.width=c(5,5,5),
+		bty="n", box.lwd=c(0,0,0,0), cex=2.7,  fill=colors, y.intersp=0.7, x.intersp=0.1)
+
+text(x=b,y=(data_mat2[1,])-data_mat2[1,]/2-35, labels=data_mat2[1,], pos=3, col="black", cex=1)
+text(x=b,y=(data_mat2[1,]+data_mat2[2,])-data_mat2[2,]/2-35, labels=data_mat2[2,], pos=3, col="black", cex=1) 
+text(x=b,y=(data_mat2[1,]+data_mat2[2,]+data_mat2[3,])-data_mat2[3,]/2-10, labels=data_mat2[3,], pos=3, col="black", cex=1) 
+
+
+dev.off()
+
diff --git a/other/visR/data_stats/res_stats.R b/other/visR/data_stats/res_stats.R
new file mode 100644
index 0000000..53a3dad
--- /dev/null
+++ b/other/visR/data_stats/res_stats.R
@@ -0,0 +1,46 @@
+require(graphics); require(grDevices)
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+
+dataset = "broad_mtb"
+data_fn = paste("../../../datasets/",dataset,"/stats/res_stats.txt", sep="")
+
+data = read.table(data_fn, header=F)
+
+output_fn = paste("../../../datasets/",dataset,"/figures/f1.pdf", sep="")
+
+rows1 = (data[,2] >= 1 & data[,3] >= 1)
+rows2 = (data[,2] < 10 | data[,3] < 10)
+data_mat1 = t(as.matrix(data[rows1,c(2,3,4)]))
+data_mat2 = t(as.matrix(data[rows2,c(2,3,4)]))
+colnames(data_mat1) <- as.vector(data[rows1,1])
+colnames(data_mat2) <- as.vector(data[rows2,1])
+
+y1_lim = max(data_mat1[1,]+data_mat1[2,] + data_mat1[3,]) + 100
+#y2_lim = max(data_mat2[1,]+data_mat2[2,] + data_mat2[3,]) + 100
+
+pdf(output_fn, width=18, height=10)
+par(mar=c(17.5,7,1,0), oma=c(0,0,0,0), mgp=c(5,1,0))
+
+colors = c("green", "red", "yellow")
+
+b <- barplot(data_mat1[c(1,2,3),], col=colors, ylim=c(0, y1_lim), cex.lab=2.5, cex.axis=2.2, cex.sub=2.5, las=2, xaxt="n", ylab="# isolates")
+axis(1, at=1.2*1:length(colnames(data_mat1))-0.5, labels=colnames(data_mat1), las=2, cex.axis=2.2, cex.lab=2.5, cex.sub=2.5, cex=2.5)
+
+n = length(data_mat1[1,])
+x = 18 / n
+
+rect(18-8*x, 0.99*y1_lim, 18-4*x, 0.72*y1_lim, col="white")
+legend(18-8*x, 0.99*y1_lim, pt.cex=0.1, bg="white", border="black",   
+		c("susceptible strains",
+				"resistant strains",
+				"intermediate-resistant strains"), 
+		text.width=c(5,5,5),
+		bty="n", box.lwd=c(0,0,0,0), cex=2.7,  fill=colors, y.intersp=0.7, x.intersp=0.1)
+
+text(x=b,y=(data_mat1[1,])-data_mat1[1,]/2, labels=data_mat1[1,], pos=3, col="black", cex=1)
+text(x=b,y=(data_mat1[1,]+data_mat1[2,])-data_mat1[2,]/2, labels=data_mat1[2,], pos=3, col="black", cex=1) 
+text(x=b,y=(data_mat1[1,]+data_mat1[2,]+data_mat1[3,])-data_mat1[3,]/2, labels=data_mat1[3,], pos=3, col="black", cex=1) 
+
+dev.off()
+
diff --git a/other/visR/drug_spec/data_drugs_sens_ami_Rv3919c.R b/other/visR/drug_spec/data_drugs_sens_ami_Rv3919c.R
new file mode 100644
index 0000000..c73894f
--- /dev/null
+++ b/other/visR/drug_spec/data_drugs_sens_ami_Rv3919c.R
@@ -0,0 +1,53 @@
+#install.packages()
+require(graphics); require(grDevices);
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "datasets/broad_mtb"
+data_fn = paste(dataset, "/ranks_bin_genes/FINAL7_P.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+
+#data = data[data[,"drug_name"] %in% c("Isoniazid", "Rifampicin", "Pyrazinamide", "Ethionamide", "Streptomycin"),]
+#data = data[data[,"drug_name"] %in% c("Rifampicin", "Pyrazinamide"),]
+
+data_a = data[data[,"high"] == "Y" | data[,"all"] == "Y",]
+data_h = data[data[,"high"] == "Y",]
+
+#summary(data[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_a[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_h[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+
+x_lim=-50
+y_lim=250
+
+#gene_id = "Rvnr02"
+gene_id = "Rv3919c"
+score_id = "tmow"
+drugs = "ami"
+
+cutoff = 1020
+
+pdf_fn = paste(dataset, "/figures/drug_sens_", drugs, "_", gene_id,"_", score_id,".pdf", sep="")
+pdf(pdf_fn,width=18,height=10)
+
+par(mfrow=c(2,2))
+
+drug_names = c("Amikacin", "Kanamycin", "Capreomycin", "Streptomycin")
+for (drug_name in drug_names) {
+	data_d = data[data[,"drug_name"]==drug_name,]
+	data_dg = data_d[data_d[,"gene_id"]==gene_id,]
+	
+	data_dg_a = data_dg[data_dg[,"high"] == "Y" | data_dg[,"all"] == "Y",]
+	data_dg_h = data_dg[data_dg[,"high"] == "Y",]
+	
+	scores_vec = sqrt(1.0/data_dg[,c(score_id)])
+	scores_vec_a = sqrt(1.0/data_dg_a[,c(score_id)])
+	scores_vec_h = sqrt(1.0/data_dg_h[,c(score_id)])
+	
+	plot(data_dg[,c("position")], scores_vec, col="black", pch=16, xlim=c(x_lim,y_lim), main=drug_name, xlab="position", ylab=paste("score value: ",score_id, sep=""), ylim=c(0,1))
+	points(data_dg_a[,c("position")], scores_vec_a, col="blue", pch=16)
+	points(data_dg_h[,c("position")], scores_vec_h, col="red", pch=16)
+	textxy(data_dg[,c("position")], scores_vec, labs=data_dg[,c("position")])
+}
+
+
+dev.off()
diff --git a/other/visR/drug_spec/data_drugs_sens_ami_Rvnr01.R b/other/visR/drug_spec/data_drugs_sens_ami_Rvnr01.R
new file mode 100644
index 0000000..548fdae
--- /dev/null
+++ b/other/visR/drug_spec/data_drugs_sens_ami_Rvnr01.R
@@ -0,0 +1,53 @@
+#install.packages()
+require(graphics); require(grDevices);
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "datasets/broad_mtb"
+data_fn = paste(dataset, "/ranks_bin_genes/FINAL7_P.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+
+#data = data[data[,"drug_name"] %in% c("Isoniazid", "Rifampicin", "Pyrazinamide", "Ethionamide", "Streptomycin"),]
+#data = data[data[,"drug_name"] %in% c("Rifampicin", "Pyrazinamide"),]
+
+data_a = data[data[,"high"] == "Y" | data[,"all"] == "Y",]
+data_h = data[data[,"high"] == "Y",]
+
+#summary(data[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_a[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_h[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+
+x_lim=-50
+y_lim=1600
+
+gene_id = "Rvnr01"
+#gene_id = "Rv3919c"
+score_id = "tmow"
+drugs = "ami"
+
+cutoff = 1020
+
+pdf_fn = paste(dataset, "/figures/drug_sens_", drugs, "_", gene_id,"_", score_id,".pdf", sep="")
+pdf(pdf_fn,width=18,height=10)
+
+par(mfrow=c(2,2))
+
+drug_names = c("Amikacin", "Kanamycin", "Capreomycin", "Streptomycin")
+for (drug_name in drug_names) {
+	data_d = data[data[,"drug_name"]==drug_name,]
+	data_dg = data_d[data_d[,"gene_id"]==gene_id,]
+	
+	data_dg_a = data_dg[data_dg[,"high"] == "Y" | data_dg[,"all"] == "Y",]
+	data_dg_h = data_dg[data_dg[,"high"] == "Y",]
+	
+	scores_vec = sqrt(1.0/data_dg[,c(score_id)])
+	scores_vec_a = sqrt(1.0/data_dg_a[,c(score_id)])
+	scores_vec_h = sqrt(1.0/data_dg_h[,c(score_id)])
+	
+	plot(data_dg[,c("position")], scores_vec, col="black", pch=16, xlim=c(x_lim,y_lim), main=drug_name, xlab="position", ylab=paste("score value: ",score_id, sep=""), ylim=c(0,1))
+	points(data_dg_a[,c("position")], scores_vec_a, col="blue", pch=16)
+	points(data_dg_h[,c("position")], scores_vec_h, col="red", pch=16)
+	textxy(data_dg[,c("position")], scores_vec, labs=data_dg[,c("position")])
+}
+
+
+dev.off()
diff --git a/other/visR/drug_spec/data_drugs_sens_ami_Rvnr02.R b/other/visR/drug_spec/data_drugs_sens_ami_Rvnr02.R
new file mode 100644
index 0000000..fb995fc
--- /dev/null
+++ b/other/visR/drug_spec/data_drugs_sens_ami_Rvnr02.R
@@ -0,0 +1,53 @@
+#install.packages()
+require(graphics); require(grDevices);
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "datasets/broad_mtb"
+data_fn = paste(dataset, "/ranks_bin_genes/FINAL7_P.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+
+#data = data[data[,"drug_name"] %in% c("Isoniazid", "Rifampicin", "Pyrazinamide", "Ethionamide", "Streptomycin"),]
+#data = data[data[,"drug_name"] %in% c("Rifampicin", "Pyrazinamide"),]
+
+data_a = data[data[,"high"] == "Y" | data[,"all"] == "Y",]
+data_h = data[data[,"high"] == "Y",]
+
+#summary(data[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_a[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_h[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+
+x_lim=-50
+y_lim=3200
+
+gene_id = "Rvnr02"
+#gene_id = "Rv3919c"
+score_id = "tmow"
+drugs = "ami"
+
+cutoff = 1020
+
+pdf_fn = paste(dataset, "/figures/drug_sens_", drugs, "_", gene_id,"_", score_id,".pdf", sep="")
+pdf(pdf_fn,width=18,height=10)
+
+par(mfrow=c(2,2))
+
+drug_names = c("Amikacin", "Kanamycin", "Capreomycin", "Streptomycin")
+for (drug_name in drug_names) {
+	data_d = data[data[,"drug_name"]==drug_name,]
+	data_dg = data_d[data_d[,"gene_id"]==gene_id,]
+	
+	data_dg_a = data_dg[data_dg[,"high"] == "Y" | data_dg[,"all"] == "Y",]
+	data_dg_h = data_dg[data_dg[,"high"] == "Y",]
+	
+	scores_vec = sqrt(1.0/data_dg[,c(score_id)])
+	scores_vec_a = sqrt(1.0/data_dg_a[,c(score_id)])
+	scores_vec_h = sqrt(1.0/data_dg_h[,c(score_id)])
+	
+	plot(data_dg[,c("position")], scores_vec, col="black", pch=16, xlim=c(x_lim,y_lim), main=drug_name, xlab="position", ylab=paste("score value: ",score_id, sep=""), ylim=c(0,1))
+	points(data_dg_a[,c("position")], scores_vec_a, col="blue", pch=16)
+	points(data_dg_h[,c("position")], scores_vec_h, col="red", pch=16)
+	textxy(data_dg[,c("position")], scores_vec, labs=data_dg[,c("position")])
+}
+
+
+dev.off()
diff --git a/other/visR/drug_spec/data_drugs_sens_emb_Rv3795.R b/other/visR/drug_spec/data_drugs_sens_emb_Rv3795.R
new file mode 100644
index 0000000..e0e9e92
--- /dev/null
+++ b/other/visR/drug_spec/data_drugs_sens_emb_Rv3795.R
@@ -0,0 +1,52 @@
+#install.packages()
+require(graphics); require(grDevices); require(calibrate)
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "datasets/broad_mtb/"
+data_fn = paste(dataset, "expP/analysis/tbdb_scores_P.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+
+#data = data[data[,"drug_name"] %in% c("Isoniazid", "Rifampicin", "Pyrazinamide", "Ethionamide", "Streptomycin"),]
+#data = data[data[,"drug_name"] %in% c("Rifampicin", "Pyrazinamide"),]
+
+data_a = data[data[,"high"] == "Y" | data[,"all"] == "Y",]
+data_h = data[data[,"high"] == "Y",]
+
+#summary(data[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_a[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_h[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+
+x_lim=-50
+y_lim=1100
+
+#gene_id = "Rv3795"
+gene_id = "Rv3795"
+score_id = "tmow"
+drugs = "emb"
+
+cutoff = 1020
+
+pdf_fn = paste(dataset, "/figures/drug_sens_", drugs, "_", gene_id,"_", score_id,".pdf", sep="")
+pdf(pdf_fn,width=18,height=10)
+
+par(mfrow=c(1,1))
+
+drug_names = c("Ethambutol")
+for (drug_name in drug_names) {
+	data_d = data[data[,"drug_name"]==drug_name,]
+	data_dg = data_d[data_d[,"gene_id"]==gene_id,]
+	
+	data_dg_a = data_dg[data_dg[,"high"] == "Y" | data_dg[,"all"] == "Y",]
+	data_dg_h = data_dg[data_dg[,"high"] == "Y",]
+	
+	scores_vec = -log(data_dg[,c(pv_score_id)])
+	scores_vec_a = -log(data_dg_a[,c(pv_score_id)])
+	scores_vec_h = -log(data_dg_h[,c(pv_score_id)])
+	
+	plot(data_dg[,c("position")], scores_vec, col="black", pch=16, xlim=c(x_lim,y_lim), main=drug_name, xlab="position", ylab=paste("score value: ",score_id, sep=""))
+	points(data_dg_a[,c("position")], scores_vec_a, col="blue", pch=16)
+	points(data_dg_h[,c("position")], scores_vec_h, col="red", pch=16)
+	textxy(data_dg[,c("position")], scores_vec, labs=data_dg[,c("position")])
+}
+
+dev.off()
diff --git a/other/visR/drug_spec/data_drugs_sens_flq_Rv0005.R b/other/visR/drug_spec/data_drugs_sens_flq_Rv0005.R
new file mode 100644
index 0000000..fe47d68
--- /dev/null
+++ b/other/visR/drug_spec/data_drugs_sens_flq_Rv0005.R
@@ -0,0 +1,52 @@
+#install.packages()
+require(graphics); require(grDevices);
+
+dataset = "datasets/broad_mtb/"
+data_fn = paste(dataset, "expP/analysis/tbdb_scores_P.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+
+#data = data[data[,"drug_name"] %in% c("Isoniazid", "Rifampicin", "Pyrazinamide", "Ethionamide", "Streptomycin"),]
+#data = data[data[,"drug_name"] %in% c("Rifampicin", "Pyrazinamide"),]
+
+data_a = data[data[,"high"] == "Y" | data[,"all"] == "Y",]
+data_h = data[data[,"high"] == "Y",]
+
+#summary(data[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_a[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_h[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+
+x_lim=0
+y_lim=800 
+
+gene_id = "Rv0005"
+#gene_id = "Rv0006"
+score_id = "tmow"
+pv_score_id = "pv.tmow"
+drugs = "flq"
+
+cutoff = 1020
+
+pdf_fn = paste(dataset, "/figures/drug_sens_", drugs, "_", gene_id,"_", score_id,".pdf", sep="")
+pdf(pdf_fn,width=18,height=10)
+
+par(mfrow=c(2,1))
+
+drug_names = c("Rifampicin", "Rifabutin")
+for (drug_name in drug_names) {
+	data_d = data[data[,"drug_name"]==drug_name,]
+	data_dg = data_d[data_d[,"gene_id"]==gene_id,]
+	
+	data_dg_a = data_dg[data_dg[,"high"] == "Y" | data_dg[,"all"] == "Y",]
+	data_dg_h = data_dg[data_dg[,"high"] == "Y",]
+	
+	scores_vec = -log(data_dg[,c(pv_score_id)])
+	scores_vec_a = -log(data_dg_a[,c(pv_score_id)])
+	scores_vec_h = -log(data_dg_h[,c(pv_score_id)])
+	
+	plot(data_dg[,c("position")], scores_vec, col="black", pch=16, xlim=c(x_lim,y_lim), ylim=c(0,10), main=drug_name, xlab="position", ylab=paste("score value: ",score_id, sep=""))
+	points(data_dg_a[,c("position")], scores_vec_a, col="blue", pch=16)
+	points(data_dg_h[,c("position")], scores_vec_h, col="red", pch=16)
+	textxy(data_dg[,c("position")], scores_vec, labs=data_dg[,c("position")])
+}
+
+dev.off()
diff --git a/other/visR/drug_spec/data_drugs_sens_flq_Rv0006.R b/other/visR/drug_spec/data_drugs_sens_flq_Rv0006.R
new file mode 100644
index 0000000..e248c86
--- /dev/null
+++ b/other/visR/drug_spec/data_drugs_sens_flq_Rv0006.R
@@ -0,0 +1,53 @@
+#install.packages()
+require(graphics); require(grDevices);
+
+dataset = "datasets/broad_mtb/"
+data_fn = paste(dataset, "expP/analysis/tbdb_scores_P.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+
+#data = data[data[,"drug_name"] %in% c("Isoniazid", "Rifampicin", "Pyrazinamide", "Ethionamide", "Streptomycin"),]
+#data = data[data[,"drug_name"] %in% c("Rifampicin", "Pyrazinamide"),]
+
+data_a = data[data[,"high"] == "Y" | data[,"all"] == "Y",]
+data_h = data[data[,"high"] == "Y",]
+
+#summary(data[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_a[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_h[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+
+x_lim=70
+y_lim=150 
+
+#gene_id = "Rv0005"
+gene_id = "Rv0006"
+score_id = "tmow"
+pv_score_id = "pv.tmow"
+drugs = "flq"
+
+cutoff = 1020
+
+pdf_fn = paste(dataset, "/figures/drug_sens_", drugs, "_", gene_id,"_", score_id,".pdf", sep="")
+pdf(pdf_fn,width=18,height=10)
+
+par(mfrow=c(2,2))
+
+drug_names = c("Ciprofloxacin", "Ofloxacin", "Levofloxacin", "Moxifloxacin")
+for (drug_name in drug_names) {
+	data_d = data[data[,"drug_name"]==drug_name,]
+	data_dg = data_d[data_d[,"gene_id"]==gene_id,]
+	
+	data_dg_a = data_dg[data_dg[,"high"] == "Y" | data_dg[,"all"] == "Y",]
+	data_dg_h = data_dg[data_dg[,"high"] == "Y",]
+	
+	scores_vec = -log(data_dg[,c(pv_score_id)])
+	scores_vec_a = -log(data_dg_a[,c(pv_score_id)])
+	scores_vec_h = -log(data_dg_h[,c(pv_score_id)])
+	
+	plot(data_dg[,c("position")], scores_vec, col="black", pch=16, xlim=c(x_lim,y_lim), main=drug_name, xlab="position", ylab=paste("score value: ",score_id, sep=""), ylim=c(0,10))
+	points(data_dg_a[,c("position")], scores_vec_a, col="blue", pch=16)
+	points(data_dg_h[,c("position")], scores_vec_h, col="red", pch=16)
+	textxy(data_dg[,c("position")], scores_vec, labs=data_dg[,c("position")])
+}
+
+
+dev.off()
diff --git a/other/visR/drug_spec/data_drugs_sens_iso_Rv1483.R b/other/visR/drug_spec/data_drugs_sens_iso_Rv1483.R
new file mode 100644
index 0000000..1d2d4d0
--- /dev/null
+++ b/other/visR/drug_spec/data_drugs_sens_iso_Rv1483.R
@@ -0,0 +1,53 @@
+#install.packages()
+require(graphics); require(grDevices); require(calibrate)
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "datasets/broad_mtb"
+data_fn = paste(dataset, "/ranks_bin_genes/FINAL7_P.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+
+#data = data[data[,"drug_name"] %in% c("Isoniazid", "Rifampicin", "Pyrazinamide", "Ethionamide", "Streptomycin"),]
+#data = data[data[,"drug_name"] %in% c("Rifampicin", "Pyrazinamide"),]
+
+data_a = data[data[,"high"] == "Y" | data[,"all"] == "Y",]
+data_h = data[data[,"high"] == "Y",]
+
+#summary(data[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_a[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_h[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+
+x_lim=-50
+y_lim=300
+
+#gene_id = "Rv1908c"
+#gene_id = "Rv3854c"
+gene_id = "Rv1483"
+score_id = "tmow"
+drugs = "iso"
+
+cutoff = 1020
+
+pdf_fn = paste(dataset, "/figures/drug_sens_", drugs, "_", gene_id,"_", score_id,".pdf", sep="")
+pdf(pdf_fn,width=18,height=10)
+
+par(mfrow=c(2,2))
+
+drug_names = c("Isoniazid", "Ethionamide", "Prothionamide")
+for (drug_name in drug_names) {
+	data_d = data[data[,"drug_name"]==drug_name,]
+	data_dg = data_d[data_d[,"gene_id"]==gene_id,]
+	
+	data_dg_a = data_dg[data_dg[,"high"] == "Y" | data_dg[,"all"] == "Y",]
+	data_dg_h = data_dg[data_dg[,"high"] == "Y",]
+	
+	scores_vec = sqrt(1.0/data_dg[,c(score_id)])
+	scores_vec_a = sqrt(1.0/data_dg_a[,c(score_id)])
+	scores_vec_h = sqrt(1.0/data_dg_h[,c(score_id)])
+	
+	plot(data_dg[,c("position")], scores_vec, col="black", pch=16, xlim=c(x_lim,y_lim), main=drug_name, xlab="position", ylab=paste("score value: ",score_id, sep=""), ylim=c(0,1))
+	points(data_dg_a[,c("position")], scores_vec_a, col="blue", pch=16)
+	points(data_dg_h[,c("position")], scores_vec_h, col="red", pch=16)
+	textxy(data_dg[,c("position")], scores_vec, labs=data_dg[,c("position")])
+}
+
+dev.off()
diff --git a/other/visR/drug_spec/data_drugs_sens_iso_Rv1484.R b/other/visR/drug_spec/data_drugs_sens_iso_Rv1484.R
new file mode 100644
index 0000000..c9000c0
--- /dev/null
+++ b/other/visR/drug_spec/data_drugs_sens_iso_Rv1484.R
@@ -0,0 +1,53 @@
+#install.packages()
+require(graphics); require(grDevices); require(calibrate)
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "datasets/broad_mtb"
+data_fn = paste(dataset, "/ranks_bin_genes/FINAL7_P.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+
+#data = data[data[,"drug_name"] %in% c("Isoniazid", "Rifampicin", "Pyrazinamide", "Ethionamide", "Streptomycin"),]
+#data = data[data[,"drug_name"] %in% c("Rifampicin", "Pyrazinamide"),]
+
+data_a = data[data[,"high"] == "Y" | data[,"all"] == "Y",]
+data_h = data[data[,"high"] == "Y",]
+
+#summary(data[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_a[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_h[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+
+x_lim=-50
+y_lim=300
+
+#gene_id = "Rv1908c"
+#gene_id = "Rv3854c"
+gene_id = "Rv1484"
+score_id = "tmow"
+drugs = "iso"
+
+cutoff = 1020
+
+pdf_fn = paste(dataset, "/figures/drug_sens_", drugs, "_", gene_id,"_", score_id,".pdf", sep="")
+pdf(pdf_fn,width=18,height=10)
+
+par(mfrow=c(2,2))
+
+drug_names = c("Isoniazid", "Ethionamide", "Prothionamide")
+for (drug_name in drug_names) {
+	data_d = data[data[,"drug_name"]==drug_name,]
+	data_dg = data_d[data_d[,"gene_id"]==gene_id,]
+	
+	data_dg_a = data_dg[data_dg[,"high"] == "Y" | data_dg[,"all"] == "Y",]
+	data_dg_h = data_dg[data_dg[,"high"] == "Y",]
+	
+	scores_vec = sqrt(1.0/data_dg[,c(score_id)])
+	scores_vec_a = sqrt(1.0/data_dg_a[,c(score_id)])
+	scores_vec_h = sqrt(1.0/data_dg_h[,c(score_id)])
+	
+	plot(data_dg[,c("position")], scores_vec, col="black", pch=16, xlim=c(x_lim,y_lim), main=drug_name, xlab="position", ylab=paste("score value: ",score_id, sep=""), ylim=c(0,1))
+	points(data_dg_a[,c("position")], scores_vec_a, col="blue", pch=16)
+	points(data_dg_h[,c("position")], scores_vec_h, col="red", pch=16)
+	textxy(data_dg[,c("position")], scores_vec, labs=data_dg[,c("position")])
+}
+
+dev.off()
diff --git a/other/visR/drug_spec/data_drugs_sens_iso_Rv1908c.R b/other/visR/drug_spec/data_drugs_sens_iso_Rv1908c.R
new file mode 100644
index 0000000..9a2ca5c
--- /dev/null
+++ b/other/visR/drug_spec/data_drugs_sens_iso_Rv1908c.R
@@ -0,0 +1,54 @@
+#install.packages()
+require(graphics); require(grDevices); require(calibrate)
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "datasets/broad_mtb/"
+data_fn = paste(dataset, "expP/analysis/tbdb_scores_P.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+
+#data = data[data[,"drug_name"] %in% c("Isoniazid", "Rifampicin", "Pyrazinamide", "Ethionamide", "Streptomycin"),]
+#data = data[data[,"drug_name"] %in% c("Rifampicin", "Pyrazinamide"),]
+
+data_a = data[data[,"high"] == "Y" | data[,"all"] == "Y",]
+data_h = data[data[,"high"] == "Y",]
+
+#summary(data[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_a[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_h[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+
+x_lim=-50
+y_lim=800
+
+gene_id = "Rv1908c"
+#gene_id = "Rv3854c"
+#gene_id = "Rv1483"
+score_id = "tmow"
+pv_score_id = "pv.tmow"
+drugs = "iso"
+
+cutoff = 1020
+
+pdf_fn = paste(dataset, "/figures/drug_sens_", drugs, "_", gene_id,"_", score_id,".pdf", sep="")
+pdf(pdf_fn,width=18,height=10)
+
+par(mfrow=c(2,2))
+
+drug_names = c("Isoniazid", "Ethionamide", "Prothionamide")
+for (drug_name in drug_names) {
+	data_d = data[data[,"drug_name"]==drug_name,]
+	data_dg = data_d[data_d[,"gene_id"]==gene_id,]
+	
+	data_dg_a = data_dg[data_dg[,"high"] == "Y" | data_dg[,"all"] == "Y",]
+	data_dg_h = data_dg[data_dg[,"high"] == "Y",]
+	
+	scores_vec = -log(data_dg[,c(pv_score_id)])
+	scores_vec_a = -log(data_dg_a[,c(pv_score_id)])
+	scores_vec_h = -log(data_dg_h[,c(pv_score_id)])
+	
+	plot(data_dg[,c("position")], scores_vec, col="black", pch=16, xlim=c(x_lim,y_lim), ylim=c(0,15), main=drug_name, xlab="position", ylab=paste("score value: ",score_id, sep=""))
+	points(data_dg_a[,c("position")], scores_vec_a, col="blue", pch=16)
+	points(data_dg_h[,c("position")], scores_vec_h, col="red", pch=16)
+	textxy(data_dg[,c("position")], scores_vec, labs=data_dg[,c("position")])
+}
+
+dev.off()
diff --git a/other/visR/drug_spec/data_drugs_sens_pza_Rv2043c.R b/other/visR/drug_spec/data_drugs_sens_pza_Rv2043c.R
new file mode 100644
index 0000000..95c1c95
--- /dev/null
+++ b/other/visR/drug_spec/data_drugs_sens_pza_Rv2043c.R
@@ -0,0 +1,51 @@
+#install.packages()
+require(graphics); require(grDevices); require(calibrate)
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "datasets/broad_mtb"
+data_fn = paste(dataset, "/ranks_bin_genes/FINAL7_P.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+
+#data = data[data[,"drug_name"] %in% c("Isoniazid", "Rifampicin", "Pyrazinamide", "Ethionamide", "Streptomycin"),]
+#data = data[data[,"drug_name"] %in% c("Rifampicin", "Pyrazinamide"),]
+
+data_a = data[data[,"high"] == "Y" | data[,"all"] == "Y",]
+data_h = data[data[,"high"] == "Y",]
+
+#summary(data[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_a[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_h[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+
+x_lim=-50
+y_lim=200
+
+gene_id = "Rv2043c"
+score_id = "tmow"
+drugs = "pza"
+
+cutoff = 1020
+
+pdf_fn = paste(dataset, "/figures/drug_sens_", drugs, "_", gene_id,"_", score_id,".pdf", sep="")
+pdf(pdf_fn,width=18,height=10)
+
+par(mfrow=c(1,1))
+
+drug_names = c("Pyrazinamide")
+for (drug_name in drug_names) {
+	data_d = data[data[,"drug_name"]==drug_name,]
+	data_dg = data_d[data_d[,"gene_id"]==gene_id,]
+	
+	data_dg_a = data_dg[data_dg[,"high"] == "Y" | data_dg[,"all"] == "Y",]
+	data_dg_h = data_dg[data_dg[,"high"] == "Y",]
+	
+	scores_vec = sqrt(1.0/data_dg[,c(score_id)])
+	scores_vec_a = sqrt(1.0/data_dg_a[,c(score_id)])
+	scores_vec_h = sqrt(1.0/data_dg_h[,c(score_id)])
+	
+	plot(data_dg[,c("position")], scores_vec, col="black", pch=16, xlim=c(x_lim,y_lim), main=drug_name, xlab="position", ylab=paste("score value: ",score_id, sep=""), ylim=c(0,1))
+	points(data_dg_a[,c("position")], scores_vec_a, col="blue", pch=16)
+	points(data_dg_h[,c("position")], scores_vec_h, col="red", pch=16)
+	textxy(data_dg[,c("position")], scores_vec, labs=data_dg[,c("position")])
+}
+
+dev.off()
diff --git a/other/visR/drug_spec/data_drugs_sens_rif_Rv0667.R b/other/visR/drug_spec/data_drugs_sens_rif_Rv0667.R
new file mode 100644
index 0000000..41a3594
--- /dev/null
+++ b/other/visR/drug_spec/data_drugs_sens_rif_Rv0667.R
@@ -0,0 +1,52 @@
+#install.packages()
+require(graphics); require(grDevices); require(calibrate)
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "datasets/broad_mtb/"
+data_fn = paste(dataset, "expP/analysis/tbdb_scores_P.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+
+#data = data[data[,"drug_name"] %in% c("Isoniazid", "Rifampicin", "Pyrazinamide", "Ethionamide", "Streptomycin"),]
+#data = data[data[,"drug_name"] %in% c("Rifampicin", "Pyrazinamide"),]
+
+data_a = data[data[,"high"] == "Y" | data[,"all"] == "Y",]
+data_h = data[data[,"high"] == "Y",]
+
+#summary(data[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_a[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_h[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+
+x_lim=0
+y_lim=1200
+
+gene_id = "Rv0667"
+score_id = "tmow"
+pv_score_id = paste("pv.", score_id, sep="")
+drugs = "rif"
+
+cutoff = 1020
+
+pdf_fn = paste(dataset, "/figures/drug_sens_", drugs, "_", gene_id,"_", score_id,".pdf", sep="")
+pdf(pdf_fn,width=18,height=10)
+
+par(mfrow=c(2,1))
+
+drug_names = c("Rifampicin", "Rifabutin")
+for (drug_name in drug_names) {
+	data_d = data[data[,"drug_name"]==drug_name,]
+	data_dg = data_d[data_d[,"gene_id"]==gene_id,]
+	
+	data_dg_a = data_dg[data_dg[,"high"] == "Y" | data_dg[,"all"] == "Y",]
+	data_dg_h = data_dg[data_dg[,"high"] == "Y",]
+	
+	scores_vec = -log(data_dg[,c(pv_score_id)])
+	scores_vec_a = -log(data_dg_a[,c(pv_score_id)])
+	scores_vec_h = -log(data_dg_h[,c(pv_score_id)])
+	
+	plot(data_dg[,c("position")], scores_vec, col="black", pch=16, xlim=c(x_lim,y_lim), ylim=c(0,10), main=drug_name, xlab="position", ylab=paste("score value: ",score_id, sep=""))
+	points(data_dg_a[,c("position")], scores_vec_a, col="blue", pch=16)
+	points(data_dg_h[,c("position")], scores_vec_h, col="red", pch=16)
+	textxy(data_dg[,c("position")], scores_vec, labs=data_dg[,c("position")])
+}
+
+dev.off()
diff --git a/other/visR/drug_spec/data_scores_variants_fig.R b/other/visR/drug_spec/data_scores_variants_fig.R
new file mode 100644
index 0000000..026e646
--- /dev/null
+++ b/other/visR/drug_spec/data_scores_variants_fig.R
@@ -0,0 +1,57 @@
+#install.packages()
+require(graphics); require(grDevices); require(stringr)
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "datasets/broad_mtb"
+data_fn = paste(dataset, "/ranks_bin_genes/FINAL7_P.txt", sep="")
+data_tmp = read.table(data_fn, header=TRUE, sep="\t")
+
+statesCount <- function(states) {
+	(nchar(as.character(states)) + 1) / 2
+}
+
+data_tmp["states_count"] <- sapply(data_tmp[, "non_ref_states_broad"], statesCount)
+data = data_tmp[with(data_tmp, order(data_tmp[,"tmow"])), ]
+
+data_a = data[data[,"high"] == "Y" | data[,"all"] == "Y",]
+data_h = data[data[,"high"] == "Y",]
+
+dimnames = list(cutoffs, scores)
+data_h_means = matrix(nrow=length(cutoffs), ncol=length(scores), dimnames=dimnames)
+
+drug_pairs = list(list("Rifampicin", "Rv0667"), list("Ethambutol", "Rv3795"),
+		list("Ciprofloxacin", "Rv0006"), list("Isoniazid", "Rv1908c"),
+		list("Streptomycin", "Rvnr01"), list("Pyrazinamide", "Rv2043c")
+		)
+
+		pdf_fn = paste(dataset, "/figures/scores_variants.pdf", sep="")
+		pdf(pdf_fn,width=18,height=10)
+par(mfrow=c(3,2))
+for( drug_pair in drug_pairs) {
+
+	drug_name = drug_pair[1]
+	gene_id = drug_pair[2]
+	
+	data_d = data[data[,"drug_name"]==drug_name,]
+	data_dg = data_d[data_d[,"gene_id"]==gene_id,]
+	
+	data_dg_a = data_dg[data_dg[,"high"] == "Y" | data_dg[,"all"] == "Y",]
+	data_dg_h = data_dg[data_dg[,"high"] == "Y",]
+	
+	colors = c()
+	for(i in seq(length(data_dg[,"high"]))) {
+		if (data_dg[i,"high"] == "Y") {
+			colors = c(colors, "red")
+		} else if (data_dg[i,"high"] == "Y" | data_dg[i,"all"] == "Y"){
+			colors = c(colors, "blue")
+		} else{
+			colors = c(colors, "black")
+		}
+	}
+
+	plot(data_dg[, "states_count"], main=paste(drug_name, ", ", gene_id, sep=" "), xlab="Mutation ranking", ylab="Number of variants", pch=16, col=colors)
+	textxy(seq(length(data_dg[, "states_count"])), data_dg[, "states_count"], labs=data_dg[,c("position")])
+}
+
+dev.off()
+
diff --git a/other/visR/genome/gene_positions.R b/other/visR/genome/gene_positions.R
new file mode 100644
index 0000000..e1849fa
--- /dev/null
+++ b/other/visR/genome/gene_positions.R
@@ -0,0 +1,22 @@
+#install.packages()
+require(graphics); require(grDevices); require(corrgram); require(corrplot)
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "em57"
+drug_name = "Ciprofloxacin"
+#drug_name = "Streptomycin"
+#gene_id = "rpoB_Rv0667"
+#gene_id = "katG_Rv1908c"
+#gene_id = "phrB_SAR0744"
+gene_id = "WEB035_GERMS-WGS.pl_2095_0"
+#gene_id = "rrl_Rvnr02"
+#gene_id = "rpsL_Rv0682"
+score = "mi"
+
+data_fn = paste(dataset, "/det_bin_genes/",drug_name,"/FINAL7_S_",gene_id,".txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+
+data_t = data[, c("position",score)]
+x11()
+plot(data_t[,2]~data_t[,1], pch=16, type="h", lwd=2)
+points(data_t[,2]~data_t[,1], pch=16, cex=1.0)
diff --git a/other/visR/genome/gene_positions_em59.R b/other/visR/genome/gene_positions_em59.R
new file mode 100644
index 0000000..3d3d689
--- /dev/null
+++ b/other/visR/genome/gene_positions_em59.R
@@ -0,0 +1,35 @@
+#install.packages()
+require(graphics); require(grDevices); require(corrgram); require(corrplot)
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "em59"
+drug_name = "Cefatoxime"
+drug_name = "Ciprofloxacin"
+drug_name = "Nalidixic acid"
+drug_name = "Levofloxacin"
+drug_name = "Piperacillin-tazobactam"
+drug_name = "Tigeccyline"
+drug_name = "Gentamicin"
+#drug_name = "Streptomycin"
+#gene_id = "rpoB_Rv0667"
+#gene_id = "katG_Rv1908c"
+#gene_id = "phrB_SAR0744"
+gene_id = "x_D505_07023"
+gene_id = "gyrA_D505_04539"
+gene_id = "x_D505_18590"
+gene_id = "x_D505_12535"
+#gene_id = "rrl_Rvnr02"
+#gene_id = "rpsL_Rv0682"
+scores = c("mi", "tscore", "odds_ratio")
+
+x11()
+par(mfrow=c(2,2))
+
+data_fn = paste(dataset, "/det_bin_genes/",drug_name,"/FINAL7_S_",gene_id,".txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+
+for (score in scores) {
+	data_t = data[, c("position",score)]
+	plot(data_t[,2]~data_t[,1], pch=16, type="h", lwd=2, xlab="Position", ylab="Score")
+	points(data_t[,2]~data_t[,1], pch=16, cex=1.0)
+}
diff --git a/other/visR/genome/gene_positions_str238.R b/other/visR/genome/gene_positions_str238.R
new file mode 100644
index 0000000..b6816b8
--- /dev/null
+++ b/other/visR/genome/gene_positions_str238.R
@@ -0,0 +1,23 @@
+#install.packages()
+require(graphics); require(grDevices); require(corrgram); require(corrplot)
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "str238"
+drug_name = "Penicillin1"
+
+score = "tscore"
+
+gene_ids = c("mraY_SPJ_0330", "pbp1a_SPJ_0355", "pbp1b_SPJ_2119", "ruvA_SPJ_0201", "x_SPJ_1921", "rluD2_SPJ_2019")
+
+x11()
+par(mfrow=c(2,3))
+
+
+for (gene_id in gene_ids) {
+	data_fn = paste(dataset, "/det_bin_genes/",drug_name,"/FINAL7_S_",gene_id,".txt", sep="")
+	data = read.table(data_fn, header=TRUE, sep="\t")
+	data_t = data[, c("position",score)]
+	
+	plot(data_t[,2]~data_t[,1], pch=16, type="h", lwd=2, xlab="Position", ylab="Score")
+	points(data_t[,2]~data_t[,1], pch=16, cex=1.0)
+}
diff --git a/other/visR/genome/genome_positions.R b/other/visR/genome/genome_positions.R
new file mode 100644
index 0000000..e3f18d3
--- /dev/null
+++ b/other/visR/genome/genome_positions.R
@@ -0,0 +1,43 @@
+#install.packages()
+require(graphics); require(grDevices); require(corrgram); require(corrplot)
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+#dataset = "mtb79"
+dataset = "sau439"
+drug_name = "mecA_SAR0039_360"
+#drug_name = "Streptomycin"
+#gene_id = "rpoB_Rv0667"
+#gene_id = "katG_Rv1908c"
+#gene_id = "phrB_SAR0744"
+#gene_id = "dnaX_SAR0477"
+#gene_id = "rrl_Rvnr02"
+#gene_id = "rpsL_Rv0682"
+score = "odds_ratio"
+#score = "mi"
+
+data_fn = paste( "datasets/", dataset, "/det_bin_show_full/",drug_name,"/FINAL7_P.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+
+data_t = data[, c("gene_id", "position", score)]
+#data_t = data_t[with(data_t, order(data_t[,"gene_id"])), ]
+data_t = data_t[with(data_t, order(data_t[,"position"])), ]
+
+gene_color_map = c()
+gene_colors = c()
+gene_id_colors = c()
+for (gene_id in data_t[, "gene_id"]) {
+	if (!gene_id %in% names(gene_color_map)) { 
+		gene_color_map[[gene_id]] <- rgb(runif(1),runif(1),runif(1))
+	}
+	gene_colors = c(gene_colors, gene_color_map[[gene_id]])
+}
+for (gene_id in names(gene_color_map)) {
+	gene_id_colors = c(gene_id_colors, gene_color_map[[gene_id]])
+}
+
+x11()
+plot(data_t[,3], pch=16, type="h", lwd=2)
+#plot(data_t[,3], pch=16, type="h", lwd=2, xlim=c(length(data_t[,1])-20, length(data_t[,1])),ylim=c(0,100))
+points(data_t[,3], pch=16, cex=1.0, col=gene_colors)
+legend("topright", names(gene_color_map), ncol=2, cex=0.7,  bty="n", fill=gene_id_colors);
+
diff --git a/other/visR/genome/genome_positions_full.R b/other/visR/genome/genome_positions_full.R
new file mode 100644
index 0000000..994ba55
--- /dev/null
+++ b/other/visR/genome/genome_positions_full.R
@@ -0,0 +1,43 @@
+#install.packages()
+require(graphics); require(grDevices); require(corrgram); require(corrplot)
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+#dataset = "mtb79"
+dataset = "em57"
+drug_name = "Ciprofloxacin"
+#drug_name = "Streptomycin"
+#gene_id = "rpoB_Rv0667"
+#gene_id = "katG_Rv1908c"
+#gene_id = "phrB_SAR0744"
+#gene_id = "dnaX_SAR0477"
+#gene_id = "rrl_Rvnr02"
+#gene_id = "rpsL_Rv0682"
+score = "tscore"
+#score = "mi"
+
+data_fn = paste(dataset, "/det_bin_genome/",drug_name,"/FINAL7_S.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+
+data_t = data[, c("position", "gene_id", score)]
+#data_t = data_t[with(data_t, order(data_t[,"gene_id"])), ]
+data_t = data_t[with(data_t, order(data_t[,"gene_id"])), ]
+
+gene_color_map = c()
+gene_colors = c()
+gene_id_colors = c()
+for (gene_id in data_t[, "gene_id"]) {
+	if (!gene_id %in% names(gene_color_map)) { 
+		gene_color_map[[gene_id]] <- rgb(runif(1),runif(1),runif(1))
+	}
+	gene_colors = c(gene_colors, gene_color_map[[gene_id]])
+}
+for (gene_id in names(gene_color_map)) {
+	gene_id_colors = c(gene_id_colors, gene_color_map[[gene_id]])
+}
+
+x11()
+plot(data_t[,3], pch=16, type="h", lwd=2)
+#plot(data_t[,3], pch=16, type="h", lwd=2, xlim=c(length(data_t[,1])-20, length(data_t[,1])),ylim=c(0,100))
+points(data_t[,3], pch=16, cex=1.0, col=gene_colors)
+legend("topright", names(gene_color_map), ncol=2, cex=0.7,  bty="n", fill=gene_id_colors);
+
diff --git a/other/visR/prec_recall/data_prec_recall.R b/other/visR/prec_recall/data_prec_recall.R
new file mode 100644
index 0000000..09c2c06
--- /dev/null
+++ b/other/visR/prec_recall/data_prec_recall.R
@@ -0,0 +1,121 @@
+#install.packages()
+require(graphics); require(grDevices);
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "../camber-pred/datasets/broad_mtb"
+drug_name = "Pyrazinamide"
+drug_name = "Rifampicin"
+drug_name = "Ethambutol"
+drug_name = "Isoniazid"
+drug_name = "Ofloxacin"
+
+data_fn = paste(dataset, "/ranks_bin_genes/FINAL7_S.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+data_drug = data[data[,"drug_name"] == drug_name,]
+
+data_drug_a = data_drug[data_drug[,"high"] == "Y" | data_drug[,"all"] == "Y",]
+data_drug_h = data_drug[data_drug[,"high"] == "Y",]
+
+data_all = data
+data_all[,"wsupport"] = data_all[,"wsupport"]*5
+data_all[,"tscore"] = data_all[,"tscore"]*5
+data_all[,"odds_ratio"] = data_all[,"odds_ratio"]*5
+data_all[,"mi"] = data_all[,"mi"]*5
+data_all[,"ranks_sum_score"] = data_all[,"ranks_sum_score"]*5
+data_all_a = data_all[data_all[,"high"] == "Y" | data_all[,"all"] == "Y",]
+data_all_h = data_all[data_all[,"high"] == "Y",]
+
+data_drug_sel = data_all
+
+score_name = "tscore"
+ranks_sel = sort(data_drug_sel[, score_name])
+max_rank = max(ranks_sel)
+n = length(ranks_sel)
+prec = c()
+recall = c()
+
+tp = 0
+for (i in 1:n) {
+	rank = ranks_sel[i]
+	tp = tp + 1
+	fp = round(rank) - tp
+	prec = c(prec, tp / round(rank))
+	recall = c(recall, tp / n)
+	print(tp / n)	
+}
+
+x11()
+plot(prec~recall, col= "red", pch=17, xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+abline(h=n/max_rank)
+
+score_name = "wsupport"
+ranks_sel = sort(data_drug_sel[, score_name])
+n = length(ranks_sel)
+prec = c()
+recall = c()
+
+tp = 0
+for (i in 1:n) {
+	rank = ranks_sel[i]
+	tp = tp + 1
+	fp = round(rank) - tp
+	prec = c(prec, tp / round(rank))
+	recall = c(recall, tp / n)
+	print(tp / n)	
+}
+points(prec~recall, col= "blue", pch=18, xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+
+score_name = "odds_ratio"
+ranks_sel = sort(data_drug_sel[, score_name])
+prec = c()
+recall = c()
+
+tp = 0
+for (i in 1:n) {
+	rank = ranks_sel[i]
+	tp = tp + 1
+	fp = round(rank) - tp
+	prec = c(prec, tp / round(rank))
+	recall = c(recall, tp / n)
+	print(tp / n)	
+}
+points(prec~recall, col= "green", pch=19, xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+
+score_name = "mi"
+ranks_sel = sort(data_drug_sel[, score_name])
+prec = c()
+recall = c()
+
+tp = 0
+for (i in 1:n) {
+	rank = ranks_sel[i]
+	tp = tp + 1
+	fp = round(rank) - tp
+	prec = c(prec, tp / round(rank))
+	recall = c(recall, tp / n)
+	print(tp / n)	
+}
+points(prec~recall, col= "black", pch=20, xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+
+score_name = "ranks_sum_score"
+ranks_sel = sort(data_drug_sel[, score_name])
+prec = c()
+recall = c()
+
+tp = 0
+for (i in 1:n) {
+	rank = ranks_sel[i]
+	tp = tp + 1
+	fp = round(rank) - tp
+	prec = c(prec, tp / round(rank))
+	recall = c(recall, tp / n)
+	print(tp / n)	
+}
+points(prec~recall, col= "orange", pch=15, xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+
+#i2, u2, l2, r2 = compareSets(set(golden_genes), set(patric_ecamber_annotation.multigenes)) 
+#if i1+r1 > 0: prec_b = float(i1)/float(i1+r1)
+#else: prec_b = 0
+#if i1+l1 > 0: rec_b = float(i1)/float(i1+l1)
+#else: rec_b = 0
+
diff --git a/other/visR/prec_recall/data_prec_recall_diff.R b/other/visR/prec_recall/data_prec_recall_diff.R
new file mode 100644
index 0000000..7f6519c
--- /dev/null
+++ b/other/visR/prec_recall/data_prec_recall_diff.R
@@ -0,0 +1,88 @@
+#install.packages()
+require(graphics); require(grDevices);
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "datasets/broad_mtb/expP/analysis/"
+data_fn = paste(dataset, "/tbdb_scores_P.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+db_type = "high"
+data_all = data
+#data_all = data[data[,"drug_name"] %in% c("Rifampicin", "Isoniazid", "Ethambutol", "Ofloxacin", "Ciprofloxacin"),]
+data_all_a = data_all[data_all[,"high"] == "Y" | data_all[,"all"] == "Y",]
+data_all_h = data_all[data_all[,"high"] == "Y",]
+
+good_count = length(data_all[data_all[,"high"] == "Y" | data_all[,db_type] == "Y", "mi"])
+
+score_name = "pv.wsupport"
+ranks_sel = data_all[order(data_all[score_name]), c(score_name, "all", "high")]
+n = length(ranks_sel[,score_name])
+prec = c()
+recall = c()
+
+tp = 0
+for (i in 1:n) {
+	rank = ranks_sel[i, score_name]
+	if (ranks_sel[i, db_type] == "Y" | ranks_sel[i, "high"] == "Y") {
+		tp = tp + 1
+	}
+	fp = i - tp
+	prec = c(prec, tp / i)
+	recall = c(recall, tp / good_count)	
+}
+
+x11()
+plot(prec~recall, col= "blue", pch=17, xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+
+score_name = "wsupport"
+ranks_sel = data_all[order(data_all[score_name]), c(score_name, "all", "high")]
+n = length(ranks_sel[,score_name])
+prec = c()
+recall = c()
+
+tp = 0
+for (i in 1:n) {
+	rank = ranks_sel[n-i+1, score_name]
+	if (ranks_sel[n-i+1, db_type] == "Y" | ranks_sel[n-i+1, "high"] == "Y") {
+		tp = tp + 1
+	}
+	fp = i - tp
+	prec = c(prec, tp / i)
+	recall = c(recall, tp / good_count)	
+}
+points(prec~recall, col= "black", pch=18, xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+
+score_name = "pv.tmow"
+ranks_sel = data_all[order(data_all[score_name]), c(score_name, "all", "high")]
+n = length(ranks_sel[,score_name])
+prec = c()
+recall = c()
+
+tp = 0
+for (i in 1:n) {
+	rank = ranks_sel[i, score_name]
+	if (ranks_sel[i, db_type] == "Y" | ranks_sel[i, "high"] == "Y") {
+		tp = tp + 1
+	}
+	fp = i - tp
+	prec = c(prec, tp / i)
+	recall = c(recall, tp / good_count)	
+}
+points(prec~recall, col= "red", pch=19, xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+
+score_name = "tmow"
+ranks_sel = data_all[order(data_all[score_name]), c(score_name, "all", "high")]
+n = length(ranks_sel[,score_name])
+prec = c()
+recall = c()
+
+tp = 0
+for (i in 1:n) {
+	rank = ranks_sel[i, score_name]
+	if (ranks_sel[i, db_type] == "Y" | ranks_sel[i, "high"] == "Y") {
+		tp = tp + 1
+	}
+	fp = i - tp
+	prec = c(prec, tp / i)
+	recall = c(recall, tp / good_count)	
+}
+points(prec~recall, col= "yellow", pch=20, xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
diff --git a/other/visR/prec_recall/data_prec_recall_norm_scores.R b/other/visR/prec_recall/data_prec_recall_norm_scores.R
new file mode 100644
index 0000000..400e6c1
--- /dev/null
+++ b/other/visR/prec_recall/data_prec_recall_norm_scores.R
@@ -0,0 +1,71 @@
+#install.packages()
+require(graphics); require(grDevices);
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "datasets/broad_mtb/expP/analysis/"
+data_fn = paste(dataset, "/tbdb_scores_P_all.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+db_type = "high"
+#data_all = data[data[,"drug_name"]!="Pyrazinamide",]
+data_all = data
+data_all_a = data_all[data_all[,"high"] == "Y" | data_all[,"all"] == "Y",]
+data_all_h = data_all[data_all[,"high"] == "Y",]
+
+good_count = length(data_all[data_all[,"high"] == "Y" | data_all[,db_type] == "Y", "mi"])
+
+scolor = c()
+scolor[["norm_mtmow"]] = "green"
+scolor[["norm_tscore"]] = "blue"
+scolor[["norm_mtscore"]] = "lightblue"
+scolor[["norm_tor"]] = "lightblue"
+scolor[["norm_tmi"]] = "lightblue"
+scolor[["norm_wsupport"]] = "black"
+scolor[["norm_rand_wsupport"]] = "grey"
+scolor[["norm_or"]] = "red"
+scolor[["norm_mi"]] = "orange"
+scolor[["norm_tmi"]] = "pink"
+scolor[["norm_tor"]] = "pink"
+scolor[["norm_stor"]] = "pink"
+scolor[["norm_tmow"]] = "yellow"
+scores_desc = c()
+
+
+x11()
+plot(c(), xlab="recall", ylab="precission", xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+lwdc = 2.5
+
+for (score_name in names(scolor)) {
+	area = 0.0
+	ranks_sel = data_all[order(data_all[score_name], data_all[db_type]), c(score_name, "all", "high")]
+	
+	n = length(ranks_sel[,score_name])
+	prec = c()
+	recall = c()
+	
+	tp = 0
+	last_rank = ranks_sel[n, score_name]
+	
+	for (i in 1:n) {
+		rank = ranks_sel[n-i+1, score_name]
+		if (ranks_sel[n-i+1, db_type] == "Y" | ranks_sel[n-i+1, "high"] == "Y") {
+			tp = tp + 1
+		}
+		fp = i - tp
+		if (rank != last_rank) {
+			if (length(prec) == 0) {
+				prec = c(prec, tp / i)
+				recall = c(recall, 0.0)
+			}
+			prec = c(prec, tp / i)
+			recall = c(recall, tp / good_count)
+			k = length(prec)
+			area = area + 0.5*(prec[k] + prec[k-1])*(recall[k]-recall[k-1])
+		}
+		last_rank = ranks_sel[n-i+1, score_name]
+	}
+	lwdc = lwdc - 0.05
+	scores_desc = c(scores_desc, paste(score_name, " [AUC=" , round(area,2) , "]", sep=""))
+	points(prec~recall, col=scolor[[score_name]], pch=18, lwd=lwdc, type="l", xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+}
+
+legend("topright", fill=scolor, legend = scores_desc)
diff --git a/other/visR/prec_recall/data_prec_recall_pvalues.R b/other/visR/prec_recall/data_prec_recall_pvalues.R
new file mode 100644
index 0000000..d70fcf0
--- /dev/null
+++ b/other/visR/prec_recall/data_prec_recall_pvalues.R
@@ -0,0 +1,69 @@
+#install.packages()
+require(graphics); require(grDevices);
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "datasets/broad_mtb/expP/analysis/"
+data_fn = paste(dataset, "/tbdb_scores_P_sel.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+db_type = "high"
+#data_all = data[data[,"drug_name"]!="Pyrazinamide",]
+data_all = data
+data_all_a = data_all[data_all[,"high"] == "Y" | data_all[,"all"] == "Y",]
+data_all_h = data_all[data_all[,"high"] == "Y",]
+
+good_count = length(data_all[data_all[,"high"] == "Y" | data_all[,db_type] == "Y", "mi"])
+
+scolor = c()
+scolor[["pv.hyper"]] = "orange"
+scolor[["pv.or"]] = "red"
+scolor[["pv.mi"]] = "orange"
+scolor[["pv.tscore"]] = "lightblue"
+scolor[["pv.mtscore"]] = "pink"
+scolor[["pv.rand_tscore_stoch"]] = "blue"
+scolor[["pv.mtmow"]] = "green"
+scolor[["pv.tmow"]] = "yellow"
+scolor[["pv.wsupport"]] = "black"
+
+
+scores_desc = c()
+x11()
+plot(c(), xlab="recall", ylab="precission", xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+
+lwdc = 2.5
+
+for (score_name in names(scolor)) { 
+	ranks_sel = data_all[order(-data_all[score_name], data_all[db_type]), c(score_name, "all", "high")]
+	
+	n = length(ranks_sel[,score_name])
+	prec = c()
+	recall = c()
+	
+	area = 0.0
+	tp = 0
+	last_rank = ranks_sel[n, score_name]
+	
+	for (i in 1:n) {
+		rank = ranks_sel[n-i+1, score_name]
+		if (ranks_sel[n-i+1, db_type] == "Y" | ranks_sel[n-i+1, "high"] == "Y") {
+			tp = tp + 1
+		}
+		fp = i - tp
+		if (rank != last_rank) {
+			if (length(prec) == 0) {
+				prec = c(prec, tp / i)
+				recall = c(recall, 0.0)
+			} 
+			prec = c(prec, tp / i)
+			recall = c(recall, tp / good_count)
+			k = length(prec)
+			area = area + 0.5*(prec[k] + prec[k-1])*(recall[k]-recall[k-1])
+		}
+		last_rank = ranks_sel[n-i+1, score_name]
+	}
+	print(area)
+	lwdc = lwdc - 0.05
+	scores_desc = c(scores_desc, paste(score_name, " [AUC=" , round(area,2) , "]", sep=""))
+	points(prec~recall, col=scolor[[score_name]], pch=18, lwd=lwdc, type="l", xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+}
+
+legend("topright", fill=scolor, legend = scores_desc)
diff --git a/other/visR/prec_recall/data_prec_recall_scores.R b/other/visR/prec_recall/data_prec_recall_scores.R
new file mode 100644
index 0000000..d064abd
--- /dev/null
+++ b/other/visR/prec_recall/data_prec_recall_scores.R
@@ -0,0 +1,57 @@
+#install.packages()
+require(graphics); require(grDevices);
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+prefix = "D:/Dropbox/Dropbox/gwadrib/"
+dataset = paste(prefix,"datasets/broad_mtb/exP/stats/", sep="")
+
+scolor = c()
+scolor[["n.or"]] = "red"
+scolor[["n.mi"]] = "orange"
+scolor[["n.ts"]] = "blue"
+scolor[["n.ws"]] = "black"
+scolor[["n.r.cct"]] = "green"
+
+#score = "n.or"
+
+input_fn = paste(dataset, "/",score,".txt", sep="")
+data = read.table(data_fn, header=FALSE, sep="\t")
+
+
+x11()
+plot(c(), xlab="recall", ylab="precission", xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+
+for (score_name in names(scolor)) { 
+	area = 0.0
+	
+	n = length(ranks_sel[,score_name])
+	prec = c()
+	recall = c()
+	
+	tp = 0
+	last_rank = ranks_sel[n, score_name]
+	
+	for (i in 1:n) {
+		rank = ranks_sel[n-i+1, score_name]
+		if (ranks_sel[n-i+1, db_type] == "Y" | ranks_sel[n-i+1, "high"] == "Y") {
+			tp = tp + 1
+		}
+		fp = i - tp
+		if (rank != last_rank) {
+			if (length(prec) == 0) {
+				prec = c(prec, tp / i)
+				recall = c(recall, 0.0)
+			}
+			prec = c(prec, tp / i)
+			recall = c(recall, tp / good_count)
+			k = length(prec)
+			area = area + 0.5*(prec[k] + prec[k-1])*(recall[k]-recall[k-1])
+		}
+		last_rank = ranks_sel[n-i+1, score_name]
+	}
+
+	scores_desc = c(scores_desc, paste(score_name, " [AUC=" , round(area,2) , "]", sep=""))
+	points(prec~recall, col=scolor[[score_name]], pch=18, lwd=1.5, type="l", xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+}
+
+legend("topright", fill=scolor, legend = scores_desc)
diff --git a/other/visR/prec_recall/data_prec_recall_spec_pvalues.R b/other/visR/prec_recall/data_prec_recall_spec_pvalues.R
new file mode 100644
index 0000000..3e8e523
--- /dev/null
+++ b/other/visR/prec_recall/data_prec_recall_spec_pvalues.R
@@ -0,0 +1,72 @@
+#install.packages()
+require(graphics); require(grDevices);
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "datasets/broad_mtb/expP/analysis/"
+data_fn = paste(dataset, "/tbdb_scores_P_sel.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+db_type = "high"
+
+x11()
+#
+par(mfrow=c(3,3))
+
+
+for (drug_name in c("Rifampicin", "Isoniazid", "Pyrazinamide", "Levofloxacin", "Moxifloxacin", "Ciprofloxacin", "Ofloxacin", "Ethambutol", "Streptomycin")) {
+	plot(c(), xlab="recall", ylab="precission", xlim=c(0.0,1.0), ylim=c(0.0, 1.0), main=drug_name)
+	
+	data_all = data[data[,"drug_name"]==drug_name,]
+	data_all_a = data_all[data_all[,"high"] == "Y" | data_all[,"all"] == "Y",]
+	data_all_h = data_all[data_all[,"high"] == "Y",]
+	
+	good_count = length(data_all[data_all[,"high"] == "Y" | data_all[,db_type] == "Y", "mi"])
+	
+	scolor = c()
+	scolor[["pv.tscore"]] = "blue"
+	scolor[["pv.mtscore"]] = "lightblue"
+	scolor[["pv.wsupport"]] = "black"
+	scolor[["pv.or"]] = "red"
+	scolor[["pv.mi"]] = "orange"
+	scolor[["pv.tmow"]] = "yellow"
+	
+	lwdc = 2.5
+	scores_desc = c()
+	
+	for (score_name in names(scolor)) { 
+		ranks_sel = data_all[order(-data_all[score_name], data_all[db_type]), c(score_name, "all", "high")]
+		
+		n = length(ranks_sel[,score_name])
+		prec = c(1.0)
+		recall = c(0.0)
+		
+		area = 0.0
+		tp = 0
+		last_rank = ranks_sel[n, score_name]
+		
+		for (i in 1:n) {
+			rank = ranks_sel[n-i+1, score_name]
+			if (ranks_sel[n-i+1, db_type] == "Y" | ranks_sel[n-i+1, "high"] == "Y") {
+				tp = tp + 1
+			}
+			fp = i - tp
+			if (rank != last_rank) {
+				if (length(prec) == 0) {
+					prec = c(prec, tp / i)
+					recall = c(recall, 0.0)
+				} 
+				prec = c(prec, tp / i)
+				recall = c(recall, tp / good_count)
+				k = length(prec)
+				area = area + 0.5*(prec[k] + prec[k-1])*(recall[k]-recall[k-1])
+			}
+			last_rank = ranks_sel[n-i+1, score_name]
+		}
+		print(area)
+		lwdc = lwdc - 0.05
+		scores_desc = c(scores_desc, paste(score_name, " [AUC=" , round(area,2) , "]", sep=""))
+		points(prec~recall, col=scolor[[score_name]], pch=18, lwd=lwdc, type="l", xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+	}
+	legend("topright", fill=scolor, legend = scores_desc)
+	
+}
+
diff --git a/other/visR/prec_recall/data_prec_recall_spec_scores.R b/other/visR/prec_recall/data_prec_recall_spec_scores.R
new file mode 100644
index 0000000..f6671db
--- /dev/null
+++ b/other/visR/prec_recall/data_prec_recall_spec_scores.R
@@ -0,0 +1,48 @@
+
+#s
+par(mfrow=c(3,3))
+
+for (drug_name in c("Rifampicin", "Isoniazid", "Pyrazinamide", "Levofloxacin", "Moxifloxacin", "Ciprofloxacin", "Ofloxacin", "Ethambutol", "Streptomycin")) {
+	plot(c(), xlab="recall", ylab="precission", xlim=c(0.0,1.0), ylim=c(0.0, 1.0), main=drug_name)
+	
+	data_all = data[data[,"drug_name"]==drug_name,]
+	data_all_a = data_all[data_all[,"high"] == "Y" | data_all[,"all"] == "Y",]
+	data_all_h = data_all[data_all[,"high"] == "Y",]
+	
+	good_count = length(data_all[data_all[,"high"] == "Y" | data_all[,db_type] == "Y", "mi"])
+	
+	scolor = c()
+	scolor[["n.ts"]] = "blue"
+	scolor[["n.ws"]] = "black"
+	scolor[["n.or"]] = "red"
+	scolor[["n.mi"]] = "orange"
+	
+	for (score_name in names(scolor)) { 
+		area = 0.0
+		ranks_sel = data_all[order(data_all[score_name], data_all[db_type]), c(score_name, "all", "high")]
+		
+		n = length(ranks_sel[,score_name])
+		prec = c(1.0)
+		recall = c(0.0)
+		
+		tp = 0
+		last_rank = ranks_sel[n, score_name]
+		
+		for (i in 1:n) {
+			rank = ranks_sel[n-i+1, score_name]
+			if (ranks_sel[n-i+1, db_type] == "Y" | ranks_sel[n-i+1, "high"] == "Y") {
+				tp = tp + 1
+			}
+			fp = i - tp
+			if (rank != last_rank) {
+				prec = c(prec, tp / i)
+				recall = c(recall, tp / good_count)
+				k = length(prec)
+				area = area + 0.5*(prec[k] + prec[k-1])*(recall[k]-recall[k-1])
+			}
+			last_rank = ranks_sel[n-i+1, score_name]
+		}
+		print(paste(drug_name, score_name, area))
+		points(prec~recall, col=scolor[[score_name]], pch=18, lwd=2.0, type="l", xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+	}
+}
diff --git a/other/visR/pvalues/data_hist_pvalues.R b/other/visR/pvalues/data_hist_pvalues.R
new file mode 100644
index 0000000..a1e3f6d
--- /dev/null
+++ b/other/visR/pvalues/data_hist_pvalues.R
@@ -0,0 +1,106 @@
+#install.packages()
+require(graphics); require(grDevices);
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "datasets/broad_mtb/expP/analysis/"
+data_fn = paste(dataset, "/tbdb_scores_P_all.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+db_type = "high"
+data_all = data[data[,"drug_name"]=="Rifampicin",]
+#data_all = data[data[,"drug_name"] %in% c("Rifampicin", "Isoniazid", "Ethambutol", "Ofloxacin", "Ciprofloxacin"),]
+data_all_a = data_all[data_all[,"high"] == "Y" | data_all[,"all"] == "Y",]
+data_all_h = data_all[data_all[,"high"] == "Y",]
+
+good_count = length(data_all[data_all[,"high"] == "Y" | data_all[,db_type] == "Y", "mi"])
+
+score_name = "pv.tscore"
+ranks_sel = data_all[order(data_all[score_name]), c(score_name, "all", "high")]
+n = length(ranks_sel[,score_name])
+prec = c()
+recall = c()
+
+tp = 0
+for (i in 1:n) {
+	rank = ranks_sel[i, score_name]
+	if (ranks_sel[i, db_type] == "Y" | ranks_sel[i, "high"] == "Y") {
+		tp = tp + 1
+	}
+	fp = i - tp
+	prec = c(prec, tp / i)
+	recall = c(recall, tp / good_count)	
+}
+
+x11()
+plot(prec~recall, col= "blue", pch=17, xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+
+score_name = "pv.wsupport"
+ranks_sel = data_all[order(data_all[score_name]), c(score_name, "all", "high")]
+n = length(ranks_sel[,score_name])
+prec = c()
+recall = c()
+
+tp = 0
+for (i in 1:n) {
+	rank = ranks_sel[i, score_name]
+	if (ranks_sel[i, db_type] == "Y" | ranks_sel[i, "high"] == "Y") {
+		tp = tp + 1
+	}
+	fp = i - tp
+	prec = c(prec, tp / i)
+	recall = c(recall, tp / good_count)	
+}
+points(prec~recall, col= "black", pch=18, xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+
+score_name = "pv.odds_ratio"
+ranks_sel = data_all[order(data_all[score_name]), c(score_name, "all", "high")]
+n = length(ranks_sel[,score_name])
+prec = c()
+recall = c()
+
+tp = 0
+for (i in 1:n) {
+	rank = ranks_sel[i, score_name]
+	if (ranks_sel[i, db_type] == "Y" | ranks_sel[i, "high"] == "Y") {
+		tp = tp + 1
+	}
+	fp = i - tp
+	prec = c(prec, tp / i)
+	recall = c(recall, tp / good_count)	
+}
+points(prec~recall, col= "red", pch=19, xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+
+score_name = "pv.mi"
+ranks_sel = data_all[order(data_all[score_name]), c(score_name, "all", "high")]
+n = length(ranks_sel[,score_name])
+prec = c()
+recall = c()
+
+tp = 0
+for (i in 1:n) {
+	rank = ranks_sel[i, score_name]
+	if (ranks_sel[i, db_type] == "Y" | ranks_sel[i, "high"] == "Y") {
+		tp = tp + 1
+	}
+	fp = i - tp
+	prec = c(prec, tp / i)
+	recall = c(recall, tp / good_count)	
+}
+points(prec~recall, col= "orange", pch=20, xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+
+score_name = "pv.tmow"
+ranks_sel = data_all[order(data_all[score_name]), c(score_name, "all", "high")]
+n = length(ranks_sel[,score_name])
+prec = c()
+recall = c()
+
+tp = 0
+for (i in 1:n) {
+	rank = ranks_sel[i, score_name]
+	if (ranks_sel[i, db_type] == "Y" | ranks_sel[i, "high"] == "Y") {
+		tp = tp + 1
+	}
+	fp = i - tp
+	prec = c(prec, tp / i)
+	recall = c(recall, tp / good_count)	
+}
+points(prec~recall, col= "yellow", pch=20, xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
diff --git a/other/visR/roc/roc_pvalues.R b/other/visR/roc/roc_pvalues.R
new file mode 100644
index 0000000..4a91cf1
--- /dev/null
+++ b/other/visR/roc/roc_pvalues.R
@@ -0,0 +1,108 @@
+#install.packages()
+require(graphics); require(grDevices);
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "datasets/broad_mtb/expP1/analysis/"
+data_fn = paste(dataset, "/tbdb_scores_P_all.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+db_type = "high"
+
+#data2 = data[data[,"drug_name"]!="Pyrazinamide",]
+data2 = data
+data_all = data2[(data2[,"gene_rel"]=="N" | data2[,db_type] == "Y") & !(data2[,db_type] == "Y" & data2[,"R1"] < 2),]
+
+good_count = nrow(data_all[data_all[,"high"] == "Y" | data_all[,db_type] == "Y",])
+neg_count = nrow(data_all[data_all[,"gene_rel"] == "N",])
+
+print(paste("All associations: ", nrow(data_all)))
+print(paste("Positives (high confidence): ", sum(data_all[,"high"] == "Y")))
+print(paste("Negatives (high confidence): ", sum(data_all[,"high"] == "N")))
+
+score_names = names(data_all)[5:(length(data_all)-9)]
+pv_score_names = sort(score_names[substr(score_names,1,2)=="pv"])
+
+scores_desc = c()
+x11()
+plot(c(), xlab="fpr", ylab="tpr", xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+
+lwdc = 2.5
+
+n = nrow(data_all)
+m = n
+
+scolor = c()
+scores_fill = c()
+
+for (score_name in pv_score_names) {
+	scolor[[score_name]] <- rgb(runif(1),runif(1),runif(1)) 
+	ord = 1.0
+	if (substr(score_name,1,1)=="c" | substr(score_name,1,2)=="pv") {
+		ord = -1.0
+	}
+	ranks_sel = data_all[order(ord*data_all[score_name], data_all[db_type]), c(score_name, "all", "high", "gene_rel")]
+	
+	prec = c()
+	recall = c()
+	fpr = c()
+	tpr = c()
+	
+	area = 0.0
+	area_roc = 0.0
+	dist = 1.0
+	tp = 0
+	fp = 0
+	fn = good_count
+	tn = neg_count
+	
+	last_rank = ranks_sel[n, score_name]
+	
+	for (i in 1:m) {
+		rank = ranks_sel[n-i+1, score_name]
+		if (ranks_sel[n-i+1, db_type] == "Y" | ranks_sel[n-i+1, "high"] == "Y") {
+			tp = tp + 1
+			fn = fn - 1
+		} else {
+			fp = fp + 1
+			tn = tn - 1
+		}
+		
+		if (rank != last_rank) {
+			if (length(prec) == 0) {
+				prec = c(prec, tp / i)
+				recall = c(recall, 0.0)
+				fpr = c(fpr, 0.0)
+				tpr = c(tpr, 0.0)
+			} 
+			prec = c(prec, tp / (tp + fp))
+			recall = c(recall, tp / (tp + fn))
+			tpr = c(tpr, tp / (tp + fn))
+			fpr = c(fpr, fp / (fp + tn))
+			k = length(prec)
+			dist_c = sqrt(2*(fp / (fp + tn))^2 + (1-tp / (tp + fn))^2)
+			dist = min(dist, dist_c)
+			area = area + 0.5*(prec[k] + prec[k-1])*(recall[k]-recall[k-1])
+			area_roc = area_roc + 0.5*(tpr[k] + tpr[k-1])*(fpr[k]-fpr[k-1])
+		}
+		last_rank = ranks_sel[n-i+1, score_name]
+	}
+	
+	prec = c(prec, tp / (tp + fp))
+	recall = c(recall, tp / (tp + fn))
+	tpr = c(tpr, tp / (tp + fn))
+	fpr = c(fpr, fp / (fp + tn))
+	
+	k = length(tpr)
+	if (k > 1) {
+		area_roc = area_roc + 0.5*(tpr[k] + tpr[k-1])*(fpr[k]-fpr[k-1])
+		#print(paste(score_name, area))
+		#print(paste(score_name, area_roc))
+		lwdc = lwdc - 0.05
+		scores_fill = c(scores_fill, scolor[[score_name]])
+		scores_desc = c(scores_desc, paste(score_name, " [AUC=" , round(area_roc,3) , "]", " [AUC=" , round(area,3) , "]", " [DIST=" , round(dist,3) , "]", sep=""))
+		points(tpr~fpr, col=scolor[[score_name]], pch=18, lwd=lwdc, type="l", xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+		#points(prec~recall, col=scolor[[score_name]], pch=18, lwd=lwdc, type="l", xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+	}
+}
+
+legend("bottomright", fill=scores_fill, legend=scores_desc, y.intersp=1, ncol=2)
+
diff --git a/other/visR/roc/roc_scores.R b/other/visR/roc/roc_scores.R
new file mode 100644
index 0000000..f6bc3bc
--- /dev/null
+++ b/other/visR/roc/roc_scores.R
@@ -0,0 +1,123 @@
+#install.packages()
+require(graphics); require(grDevices);
+
+substrRight <- function(x, n){
+	substr(x, nchar(x)-n+1, nchar(x))
+}
+
+curve_type = "ROC"
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "datasets/broad_mtb/exP/analysis/"
+data_fn = paste(dataset, "/tbdb_scores_P_all.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+db_type = "high"
+
+data2 = data[data[,"drug_name"]!="Ethionamide",]
+#data2 = data
+data_all = data2[(data2[,"gene_rel"]=="N" | data2[,db_type] == "Y"), ]
+
+good_count = nrow(data_all[data_all[,"high"] == "Y" | data_all[,db_type] == "Y",])
+neg_count = nrow(data_all[data_all[,"gene_rel"] == "N",])
+
+print(paste("All associations: ", nrow(data_all)))
+print(paste("Positives (high confidence): ", sum(data_all[,db_type] == "Y")))
+print(paste("Negatives (high confidence): ", sum(data_all[,db_type] == "N")))
+
+score_names = names(data_all)[5:(length(data_all)-9)]
+#comb_score_names = score_names[substr(score_names,1,1)=="c"]
+sel_score_names = score_names[substr(score_names,1,2)!="pv" & substr(score_names,1,2) == "n." & !substrRight(score_names,1) %in% c("0", "1")]
+sc_score_names = sort(sel_score_names)
+
+scores_desc = c()
+x11()
+if (curve_type == "ROC") {
+	plot(c(), xlab="fpr = FP/(FP+TN)", ylab="tpr (recall) = TP/(TP+FN)", xlim=c(0.0,1.0), ylim=c(0.0, 1.0), main=paste("Positives: ", sum(data_all[,"high"] == "Y"), ", negatives: ", sum(data_all[,"high"] == "N"), sep=""))
+} else {
+	plot(c(), xlab="tpr (recall) = TP/(TP+FN)", ylab="precision = TP/(TP+FP)", xlim=c(0.0,1.0), ylim=c(0.0, 1.0), main=paste("Positives: ", sum(data_all[,"high"] == "Y"), ", negatives: ", sum(data_all[,"high"] == "N"), sep=""))
+}
+lwdc = 2.5
+
+n = nrow(data_all)
+m = 200
+
+scolor = c()
+scores_fill = c()
+
+for (score_name in sc_score_names) {
+	scolor[[score_name]] <- rgb(runif(1),runif(1),runif(1)) 
+	ord = 1.0
+	if (substr(score_name,1,1)=="c" | substr(score_name,1,2)=="pv") {
+		ord = -1.0
+	}
+	ranks_sel = data_all[order(ord*data_all[score_name], data_all[db_type]), c(score_name, "all", "high", "gene_rel")]
+	
+	prec = c()
+	recall = c()
+	fpr = c()
+	tpr = c()
+	
+	area = 0.0
+	area_roc = 0.0
+	dist = 1.0
+	tp = 0
+	fp = 0
+	fn = good_count
+	tn = neg_count
+	
+	last_rank = ranks_sel[n, score_name]
+	
+	for (i in 1:m) {
+		rank = ranks_sel[n-i+1, score_name]
+		if (ranks_sel[n-i+1, db_type] == "Y") {
+			tp = tp + 1
+			fn = fn - 1
+		} else {
+			fp = fp + 1
+			tn = tn - 1
+		}
+		
+		if (rank != last_rank) {
+			if (length(prec) == 0) {
+				prec = c(prec, tp / i)
+				recall = c(recall, 0.0)
+				fpr = c(fpr, 0.0)
+				tpr = c(tpr, 0.0)
+			} 
+			prec = c(prec, tp / (tp + fp))
+			recall = c(recall, tp / (tp + fn))
+			tpr = c(tpr, tp / (tp + fn))
+			fpr = c(fpr, fp / (fp + tn))
+			k = length(prec)
+			dist_c = sqrt(2*(fp / (fp + tn))^2 + (1-tp / (tp + fn))^2)
+			dist = min(dist, dist_c)
+			area = area + 0.5*(prec[k] + prec[k-1])*(recall[k]-recall[k-1])
+			area_roc = area_roc + 0.5*(tpr[k] + tpr[k-1])*(fpr[k]-fpr[k-1])
+		}
+		last_rank = ranks_sel[n-i+1, score_name]
+	}
+	
+	prec = c(prec, tp / (tp + fp))
+	recall = c(recall, tp / (tp + fn))
+	tpr = c(tpr, tp / (tp + fn))
+	fpr = c(fpr, fp / (fp + tn))
+	
+	k = length(tpr)
+	if (k > 1) {
+		area_roc = area_roc + 0.5*(tpr[k] + tpr[k-1])*(fpr[k]-fpr[k-1])
+		#print(paste(score_name, area))
+		#print(paste(score_name, area_roc))
+		lwdc = lwdc - 0.05
+		scores_fill = c(scores_fill, scolor[[score_name]])
+		#scores_desc = c(scores_desc, paste(score_name, " [AUC=" , round(area_roc,3) , "]", " [AUC=" , round(area,3) , "]", " [DIST=" , round(dist,3) , "]", sep=""))
+		scores_desc = c(scores_desc, paste(score_name, " [AUC=" , round(area_roc,3) , "]", " [AUC=" , round(area,3) , "]", sep=""))
+		if (curve_type == "ROC") {
+			points(tpr~fpr, col=scolor[[score_name]], pch=18, lwd=lwdc, type="l", xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+		} else {
+			points(prec~recall, col=scolor[[score_name]], pch=18, lwd=lwdc, type="l", xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+		}
+	}
+}
+
+legend("bottomright", fill=scores_fill, legend=scores_desc, y.intersp=1, ncol=2)
+
diff --git a/other/visR/roc/roc_scores_all.R b/other/visR/roc/roc_scores_all.R
new file mode 100644
index 0000000..b5a050c
--- /dev/null
+++ b/other/visR/roc/roc_scores_all.R
@@ -0,0 +1,102 @@
+#install.packages()
+require(graphics); require(grDevices);
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "datasets/broad_mtb/expP/analysis/"
+data_fn = paste(dataset, "/tbdb_scores_P_all.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+db_type = "high"
+
+#data2 = data[data[,"drug_name"]!="Pyrazinamide",]
+data2 = data
+data_all = data2[(data2[,"gene_rel"]=="N" | data2[,db_type] == "Y") & !(data2[,db_type] == "Y" & data2[,"R1"] < 2),]
+
+good_count = nrow(data_all[data_all[,"high"] == "Y" | data_all[,db_type] == "Y",])
+neg_count = nrow(data_all[data_all[,"gene_rel"] == "N",])
+
+print(paste("All associations: ", nrow(data_all)))
+print(paste("Positives (high confidence): ", sum(data_all[,"high"] == "Y")))
+print(paste("Negatives (high confidence): ", sum(data_all[,"high"] == "N")))
+
+score_names = names(data_all)[5:(length(data_all)-9)]
+
+scores_desc = c()
+x11()
+plot(c(), xlab="fpr", ylab="tpr", xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+
+lwdc = 2.5
+
+n = nrow(data_all)
+m = 1000
+
+scolor = c()
+scores_fill = c()
+
+for (score_name in score_names) {
+	scolor[[score_name]] <- rgb(runif(1),runif(1),runif(1)) 
+	ord = -1.0
+	if (score_name %in% c("hyper", "tmow", "mtmow")) {
+		ord = -1.0
+	}
+	ranks_sel = data_all[order(ord*data_all[score_name], data_all[db_type]), c(score_name, "all", "high", "gene_rel")]
+
+	prec = c()
+	recall = c()
+	fpr = c()
+	tpr = c()
+	
+	area = 0.0
+	area_roc = 0.0
+	dist = 1.0
+	tp = 0
+	fp = 0
+	fn = good_count
+	tn = neg_count
+	
+	last_rank = ranks_sel[n, score_name]
+	
+	for (i in 1:m) {
+		rank = ranks_sel[n-i+1, score_name]
+		if (ranks_sel[n-i+1, db_type] == "Y" | ranks_sel[n-i+1, "high"] == "Y") {
+			tp = tp + 1
+			fn = fn - 1
+		} else {
+			fp = fp + 1
+			tn = tn - 1
+		}
+		
+		if (rank != last_rank) {
+			if (length(prec) == 0) {
+				prec = c(prec, tp / i)
+				recall = c(recall, 0.0)
+				fpr = c(fpr, 0.0)
+				tpr = c(tpr, 0.0)
+			} 
+			prec = c(prec, tp / (tp + fp))
+			recall = c(recall, tp / (tp + fn))
+			tpr = c(tpr, tp / (tp + fn))
+			fpr = c(fpr, fp / (fp + tn))
+			k = length(prec)
+			dist_c = sqrt(2*(fp / (fp + tn))^2 + (1-tp / (tp + fn))^2)
+			dist = min(dist, dist_c)
+			area = area + 0.5*(prec[k] + prec[k-1])*(recall[k]-recall[k-1])
+			area_roc = area_roc + 0.5*(tpr[k] + tpr[k-1])*(fpr[k]-fpr[k-1])
+		}
+		last_rank = ranks_sel[n-i+1, score_name]
+	}
+	fpr = c(fpr, 1.0)
+	tpr = c(tpr, 1.0)
+	k = length(tpr)
+	if (k > 1) {
+		area_roc = area_roc + 0.5*(tpr[k] + tpr[k-1])*(fpr[k]-fpr[k-1])
+		print(paste(score_name, area))
+		print(paste(score_name, area_roc))
+		lwdc = lwdc - 0.05
+		scores_fill = c(scores_fill, scolor[[score_name]])
+		scores_desc = c(scores_desc, paste(score_name, " [AUC=" , round(area_roc,2) , "]", " [DIST=" , round(dist,2) , "]", sep=""))
+		points(tpr~fpr, col=scolor[[score_name]], pch=18, lwd=lwdc, type="l", xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+	}
+}
+
+legend("bottomright", fill=scores_fill, legend=scores_desc, y.intersp=1, ncol=2)
+
diff --git a/other/visR/scores_cmp/data_scores_comp.R b/other/visR/scores_cmp/data_scores_comp.R
new file mode 100644
index 0000000..4f53a5e
--- /dev/null
+++ b/other/visR/scores_cmp/data_scores_comp.R
@@ -0,0 +1,32 @@
+#install.packages()
+require(graphics); require(grDevices);
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "datasets/broad_mtb"
+data_fn = paste(dataset, "/ranks_bin_genes/FINAL7_P.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+
+#data = data[data[,"drug_name"] %in% c("Isoniazid", "Rifampicin", "Pyrazinamide", "Ethionamide", "Streptomycin"),]
+#data = data[data[,"drug_name"] %in% c("Rifampicin", "Pyrazinamide"),]
+
+data_a = data[data[,"high"] == "Y" | data[,"all"] == "Y",]
+data_h = data[data[,"high"] == "Y",]
+
+#summary(data[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_a[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_h[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+
+cutoff = 30
+
+data_a_acc = (data_a[,"tscore"] < cutoff) + (data_a[,"mi"] < cutoff) + (data_a[,"odds_ratio"] < cutoff) + (data_a[,"wsupport"] < cutoff)
+data_a_top = data_a[data_a_acc >= 4,]
+
+
+data_h_acc = (data_h[,"tscore"] < cutoff) + (data_h[,"mi"] < cutoff) + (data_h[,"odds_ratio"] < cutoff) + (data_h[,"wsupport"] < cutoff)
+data_h_top = data_h[data_h_acc >= 4,]
+
+summary(data_a_top[,c("tscore", "mi","odds_ratio", "wsupport", "tmow", "tmo", "to", "tow")])
+summary(data_h_top[,c("tscore", "mi","odds_ratio", "wsupport", "tmow", "tmo", "to", "tow")])
+
+print(length(data_a_top[,"tscore"]))
+print(length(data_h_top[,"tscore"]))
diff --git a/other/visR/scores_cmp/data_scores_comp_fig.R b/other/visR/scores_cmp/data_scores_comp_fig.R
new file mode 100644
index 0000000..914809c
--- /dev/null
+++ b/other/visR/scores_cmp/data_scores_comp_fig.R
@@ -0,0 +1,40 @@
+#install.packages()
+require(graphics); require(grDevices);
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "datasets/broad_mtb"
+data_fn = paste(dataset, "/ranks_bin_genes_ranks/FINAL7_P.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+
+#data = data[data[,"drug_name"] %in% c("Isoniazid", "Rifampicin", "Pyrazinamide", "Ethionamide", "Streptomycin"),]
+#data = data[data[,"drug_name"] %in% c("Rifampicin", "Pyrazinamide"),]
+
+data_a = data[data[,"high"] == "Y" | data[,"all"] == "Y",]
+data_h = data[data[,"high"] == "Y",]
+
+#summary(data[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_a[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_h[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+
+cutoff = 1060
+
+data_a_acc = (data_a[,"tscore"] < cutoff) + (data_a[,"mi"] < cutoff) + (data_a[,"odds_ratio"] < cutoff) + (data_a[,"wsupport"] < cutoff)
+data_a_top = data_a[data_a_acc >= 4,]
+summary(data_a_top[,c("tscore", "mi","odds_ratio", "wsupport", "tmow", "tmo", "to", "tow")])
+
+data_h_acc = (data_h[,"tscore"] < cutoff) + (data_h[,"mi"] < cutoff) + (data_h[,"odds_ratio"] < cutoff) + (data_h[,"wsupport"] < cutoff)
+data_h_top = data_h[data_h_acc >= 4,]
+summary(data_h_top[,c("tscore", "mi","odds_ratio", "wsupport", "tmow", "tmo", "to", "tow")])
+
+window_size = 1000
+
+pdf_fn = paste(dataset, "/figures/scores_cmp_200.pdf", sep="")
+pdf(pdf_fn,width=18,height=10)
+
+plot(data_h_top[,c("tmow")], data_h_top[,c("tscore")], xlab="tmow", ylab="scores", col="blue", pch=16, xlim=c(0,window_size), ylim=c(0,window_size))
+points(data_h_top[,c("tmow")],data_h_top[,c("mi")], col="orange", pch=17)
+points(data_h_top[,c("tmow")],data_h_top[,c("odds_ratio")], col="red", pch=18)
+points(data_h_top[,c("tmow")],data_h_top[,c("wsupport")], col="black", pch=19)
+points(data_h_top[,c("tmow")],data_h_top[,c("tmow")], col="yellow", pch=20)
+#legend("topleft", c("tree score", "mutual information", "odds ratio", "weighted support", "tmow"), cex=1.6,  bty="n", fill=c("blue", "orange", "red", "black", "yellow"));
+dev.off()
diff --git a/other/visR/scores_cmp/data_scores_comp_fig2_all.R b/other/visR/scores_cmp/data_scores_comp_fig2_all.R
new file mode 100644
index 0000000..80b8c52
--- /dev/null
+++ b/other/visR/scores_cmp/data_scores_comp_fig2_all.R
@@ -0,0 +1,48 @@
+#install.packages()
+require(graphics); require(grDevices);
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "datasets/broad_mtb"
+data_fn = paste(dataset, "/ranks_bin_genes/FINAL7_P.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+
+#data = data[data[,"drug_name"] %in% c("Isoniazid", "Rifampicin", "Pyrazinamide", "Ethionamide", "Streptomycin"),]
+#data = data[data[,"drug_name"] %in% c("Rifampicin", "Pyrazinamide"),]
+
+data_a = data[data[,"high"] == "Y" | data[,"all"] == "Y",]
+data_h = data[data[,"high"] == "Y",]
+
+#summary(data[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_a[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_h[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+
+cutoffs = seq(2, 1000)
+scores = c("tscore", "mi", "odds_ratio", "wsupport", "tmow", "tmo", "to")
+
+dimnames = list(cutoffs, scores)
+data_a_means = matrix(nrow=length(cutoffs), ncol=length(scores), dimnames=dimnames)
+
+pdf_fn = paste(dataset, "/figures/scores_cmp_means_all_200.pdf", sep="")
+pdf(pdf_fn,width=18,height=10)
+par(mfrow=c(2,2))
+
+for (thr in c(1,2,3,4)) {
+	for (cutoff in cutoffs) {
+		data_a_acc = (data_a[,"tscore"] < cutoff) + (data_a[,"mi"] < cutoff) + (data_a[,"odds_ratio"] < cutoff) + (data_a[,"wsupport"] < cutoff)
+		data_a_top = data_a[data_a_acc >= thr,]
+		for (score in scores) {
+			data_a_means[as.character(cutoff), score] = mean(data_a_top[, score])
+		}
+	}
+	
+	plot(cutoffs, data_a_means[,"tscore"], pch=16, xlim=c(0,200), ylim=c(0,100), col="blue", xlab="cutoff", ylab="avg. ranking", main=paste("Mutations selected by ",as.character(thr)," scores",sep=""))
+	points(cutoffs, data_a_means[,"mi"], pch=17, col="orange")
+	points(cutoffs, data_a_means[,"odds_ratio"], pch=18, col="red")
+	points(cutoffs, data_a_means[,"wsupport"], pch=19, col="black")
+	points(cutoffs, data_a_means[,"tmow"], pch=20, col="yellow")
+	points(cutoffs, data_a_means[,"tmo"], pch=20, col="green")
+
+	legend("topleft", c("tree score", "mutual information", "odds ratio", "weighted support", "tmow"), cex=1.6,  bty="n", fill=c("blue", "orange", "red", "black", "yellow"));
+}
+dev.off()
+
diff --git a/other/visR/scores_cmp/data_scores_comp_fig2_high.R b/other/visR/scores_cmp/data_scores_comp_fig2_high.R
new file mode 100644
index 0000000..1051a44
--- /dev/null
+++ b/other/visR/scores_cmp/data_scores_comp_fig2_high.R
@@ -0,0 +1,47 @@
+#install.packages()
+require(graphics); require(grDevices);
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "datasets/broad_mtb"
+data_fn = paste(dataset, "/ranks_bin_genes_ranks/FINAL7_P.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+
+#data = data[data[,"drug_name"] %in% c("Isoniazid", "Rifampicin", "Pyrazinamide", "Ethionamide", "Streptomycin"),]
+#data = data[data[,"drug_name"] %in% c("Rifampicin", "Pyrazinamide"),]
+
+data_a = data[data[,"high"] == "Y" | data[,"all"] == "Y",]
+data_h = data[data[,"high"] == "Y",]
+
+#summary(data[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_a[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_h[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+
+cutoffs = seq(2, 1000)
+scores = c("tscore", "mi", "odds_ratio", "wsupport", "tmow")
+
+dimnames = list(cutoffs, scores)
+data_h_means = matrix(nrow=length(cutoffs), ncol=length(scores), dimnames=dimnames)
+
+pdf_fn = paste(dataset, "/figures/scores_cmp_means_200.pdf", sep="")
+pdf(pdf_fn,width=18,height=10)
+par(mfrow=c(2,2))
+
+for (thr in c(1,2,3,4)) {
+	for (cutoff in cutoffs) {
+		data_h_acc = (data_h[,"tscore"] < cutoff) + (data_h[,"mi"] < cutoff) + (data_h[,"odds_ratio"] < cutoff) + (data_h[,"wsupport"] < cutoff)
+		data_h_top = data_h[data_h_acc >= thr,]
+		for (score in scores) {
+			data_h_means[as.character(cutoff), score] = mean(data_h_top[, score])
+		}
+	}
+	
+	plot(cutoffs, data_h_means[,"tscore"], pch=16, xlim=c(0,200), ylim=c(0,100), col="blue", xlab="cutoff", ylab="avg. ranking", main=paste("Mutations selected by ",as.character(thr)," scores",sep=""))
+	points(cutoffs, data_h_means[,"mi"], pch=17, col="orange")
+	points(cutoffs, data_h_means[,"odds_ratio"], pch=18, col="red")
+	points(cutoffs, data_h_means[,"wsupport"], pch=19, col="black")
+	points(cutoffs, data_h_means[,"tmow"], pch=20, col="yellow")
+
+	legend("topleft", c("tree score", "mutual information", "odds ratio", "weighted support", "tmow"), cex=1.6,  bty="n", fill=c("blue", "orange", "red", "black", "yellow"));
+}
+dev.off()
+
diff --git a/other/visR/scores_corr/data_rank_corr.R b/other/visR/scores_corr/data_rank_corr.R
new file mode 100644
index 0000000..dc4efa2
--- /dev/null
+++ b/other/visR/scores_corr/data_rank_corr.R
@@ -0,0 +1,21 @@
+#install.packages("corrgram")
+require(graphics); require(grDevices); require(corrgram)
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "../camber-pred/datasets/broad_mtb"
+#drug_name="Rifampicin"
+#drug_name="Pyrazinamide"
+drug_name="Isoniazid"
+data_fn = paste(dataset, "/det_bin_comb_ranks/",drug_name,"/FINAL7_S.txt", sep="")
+#data_fn = paste(dataset, "/det_bin_comb/",drug_name,"/FINAL7_S.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+
+x11()
+#corrgram(data[,c("odds_ratio", "mi", "wsupport", "tscore")], order=TRUE, lower.panel=panel.shade, 
+		#upper.panel=NULL, text.panel=panel.txt, 
+		#main="Drug resistance core rankings correlations", cex=1.5)
+
+corrgram(data[,c("odds_ratio", "mi", "wsupport", "tscore", "ranks_sum_score")], order=TRUE, lower.panel=panel.shade, 
+		upper.panel=NULL, text.panel=panel.txt, 
+		main="Drug resistance core rankings correlations", cex=1.5)
+
diff --git a/other/visR/scores_corr/data_ranks_simple.R b/other/visR/scores_corr/data_ranks_simple.R
new file mode 100644
index 0000000..cadb416
--- /dev/null
+++ b/other/visR/scores_corr/data_ranks_simple.R
@@ -0,0 +1,24 @@
+#install.packages()
+require(graphics); require(grDevices);
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+dataset = "datasets/broad_mtb"
+data_fn = paste(dataset, "/ranks_bin_genes/FINAL7_P.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+
+data_a = data[data[,"high"] == "Y" | data[,"all"] == "Y",]
+data_h = data[data[,"high"] == "Y",]
+
+#summary(data[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_a[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+#summary(data_h[,c("tscore", "mi","odds_ratio", "wsupport", "ranks_sum_score")])
+
+cutoff = 200
+
+data_h_acc = (data_h[,"tscore"] < cutoff) + (data_h[,"mi"] < cutoff) + (data_h[,"odds_ratio"] < cutoff) + (data_h[,"wsupport"] < cutoff)+ (data_h[,"ranks_sum_score"] < cutoff)
+data_h_top = data_h[data_h_acc >= 5,]
+summary(data_h_top[,c("tscore", "mi","odds_ratio", "wsupport","ranks_sum_score")])
+
+data_a_acc = (data_a[,"tscore"] < cutoff) + (data_a[,"mi"] < cutoff) + (data_a[,"odds_ratio"] < cutoff) + (data_a[,"wsupport"] < cutoff)+ (data_h[,"ranks_sum_score"] < cutoff)
+data_a_top = data_a[data_a_acc >= 5,]
+summary(data_a_top[,c("tscore", "mi","odds_ratio", "wsupport","ranks_sum_score")])
diff --git a/other/visR/scores_corr/score_correlations.R b/other/visR/scores_corr/score_correlations.R
new file mode 100644
index 0000000..e598791
--- /dev/null
+++ b/other/visR/scores_corr/score_correlations.R
@@ -0,0 +1,35 @@
+#install.packages()
+require(graphics); require(grDevices); require(corrgram); require(corrplot)
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+drug_name = "Isoniazid"
+dataset = "broad_mtb"
+data_fn = paste(dataset, "/det_bin_corr/",drug_name,"_FINAL7_S.txt", sep="")
+data = read.table(data_fn, header=TRUE, sep="\t")
+
+cor(data[1:10,c(2,4,5,6,7,8)], method="kendall") 
+
+x11()
+plot(data[1:1000,c(2,4,5,6,7,8)])
+
+
+par(mar=c(12,8,1,1), oma=c(0,0,1,1), mgp=c(5,1,0))
+data_mat = t(as.matrix(data[,c(12,15)]))
+data_mat1 = t(as.matrix(data[,c(12)]))
+data_mat2 = t(as.matrix(data[,c(15)]))
+colnames(data_mat) <- data[,1]
+
+barplot(data_mat, col=c("green", "red"), beside=TRUE, xaxt="n", cex=2, ylim = c(0,1.0), cex.lab=2.5, cex.axis=1.5, cex.main=2.5, cex.sub=2.5, las=2, xlab="", ylab="F1 measure of accuracy")
+axis(1, at=3*1:20-1, labels=data[,1], las=2, cex.axis=1.5, cex.lab=2.5, cex.sub=2.5, cex=2.5)
+legend(34, 1.05, c("PATRIC annotations", "PATRIC annotations after eCAMBer"), cex=1.8,  bty="n", fill=c("green", "red"));
+#barplot(data_mat2, col=c("green"), beside=TRUE)
+#
+#data_mat2 = t(as.matrix(data[,c(6,9,8)]))
+#colnames(data_mat2) <- data[,1]
+#
+#barplot(data_mat2, col=c("red", "green", "blue"))
+
+
+
+#barplot(data_mat, col=c("red", "brown", "green", "blue", "orange"),main=paste("Method: ", m, sep = " "))
+#legend("topleft", c("TP", "TN", "FP", "FN", "NO"), cex=0.6,  bty="n", fill=c("red", "brown", "green", "blue", "orange"));
diff --git a/other/visR/test.R b/other/visR/test.R
new file mode 100644
index 0000000..e83fae9
--- /dev/null
+++ b/other/visR/test.R
@@ -0,0 +1,26 @@
+require("errbar")
+
+set.seed(1)
+x <- 1:10
+y <- x + rnorm(10)
+delta <- runif(10)
+errbar( x, y, y + delta, y - delta )
+
+# Show bootstrap nonparametric CLs for 3 group means and for
+# pairwise differences on same graph
+group <- sample(c('a','b','d'), 200, TRUE)
+y     <- runif(200) + .25*(group=='b') + .5*(group=='d')
+cla <- smean.cl.boot(y[group=='a'],B=100,reps=TRUE)  # usually B=1000
+a   <- attr(cla,'reps')
+clb <- smean.cl.boot(y[group=='b'],B=100,reps=TRUE)
+b   <- attr(clb,'reps')
+cld <- smean.cl.boot(y[group=='d'],B=100,reps=TRUE)
+d   <- attr(cld,'reps')
+a.b <- quantile(a-b,c(.025,.975))
+a.d <- quantile(a-d,c(.025,.975))
+b.d <- quantile(b-d,c(.025,.975))
+errbar(c('a','b','d','a - b','a - d','b - d'),
+       c(cla[1],clb[1],cld[1],cla[1]-clb[1],cla[1]-cld[1],clb[1]-cld[1]),
+       c(cla[3],clb[3],cld[3],a.b[2],a.d[2],b.d[2]),
+       c(cla[2],clb[2],cld[2],a.b[1],a.d[1],b.d[1]),
+       Type=c(1,1,1,2,2,2), xlab='', ylab='')
\ No newline at end of file
diff --git a/src/drsoft/__init__.py b/src/drsoft/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/drsoft/analysis/__init__.py b/src/drsoft/analysis/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/drsoft/analysis/a1_save_details_scores_all.py b/src/drsoft/analysis/a1_save_details_scores_all.py
new file mode 100644
index 0000000..3caaf47
--- /dev/null
+++ b/src/drsoft/analysis/a1_save_details_scores_all.py
@@ -0,0 +1,183 @@
+import sys
+import os
+import copy
+import multiprocessing
+from multiprocessing import Pool
+
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_ann_utils import readClusterGeneIDs
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_res_utils import compareProfiles
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_scoring import *
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+
+
+def saveScoresCombined(params):
+    drug_name = params["DRUG_NAME"]
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    show_profiles = parameters.get("SP", "B")
+    score_sort = parameters.get("SCORE_SORT", "r-tgh")
+
+    input_fh = open(input_dir + "/strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+        
+    score_params = list(parameters["SCORES"].split(","))
+    
+
+    input_fh = open(results_dir + "/res_profiles.txt")
+    res_profiles_list = readResistanceProfiles(input_fh, load_int=True)
+    input_fh.close()
+    
+    res_profiles = {}
+    for res_profile in res_profiles_list:
+        res_profiles[res_profile.drug_name] = res_profile
+    drp = res_profiles[drug_name]
+
+    bin_profile_ids = set([])
+    score_map = {}
+
+    for score in score_params:
+        score_map[score] = {}
+        input_fn = scores_dir + drug_name + "/" + score + ".txt"
+        if not os.path.exists(input_fn):
+            continue     
+        input_fh = open(input_fn) 
+        for line in input_fh.readlines():
+            tokens = line.split()
+            if len(tokens) < 2: continue
+            bin_profile_id = tokens[0]
+            score_val = tokens[1]
+            bin_profile_ids.add(bin_profile_id)
+            score_map[score][bin_profile_id] = score_val
+        input_fh.close()
+    
+    revord = revOrder(score_sort)
+
+    bin_profile_ids_sorted = sorted(bin_profile_ids, key=lambda bin_profile_id:(
+                    revord*float(score_map.get(score_sort,{}).get(bin_profile_id,0.0))
+                    ))
+
+    input_fh = open(results_dir + '/bin_profiles_' + parameters["MT"] + '.txt')         
+    bin_profiles = readBinProfiles(input_fh, strains.count(), gen_bin_profiles=True, decompress=True)
+    input_fh.close()
+
+    input_fh = open(results_dir + '/bin_profiles_' + parameters["MT"] + '_det.txt')
+    bin_profiles_details = readBinProfileDetails(input_fh, strains.count(), parameters["MT"], out_format="tuple", ref_counts=True)
+    input_fh.close()
+    
+    tls = [] 
+    dr_profile = drp.getFullKey()
+    
+    if show_profiles in ["B","Y"]:
+        tl = dr_profile + "\t"
+    elif show_profiles == "K":
+        tl = ''.join(profileSubset(drp.full_profile, drp.getKnown())) + "\t"
+    elif show_profiles == "R":
+        tl = ''.join(profileSubset(drp.full_profile, drp.getResistant() | drp.getInterresistant())) + "\t"
+    else: 
+        tl = ""
+    
+    tl += "S0\tS1\tI0\tI1\tR0\tR1\t"
+    tl += "profile_id\t"
+    tl += "\t".join(score_params) + "\t"
+    tl += "details" + "\n"
+    tls.append(tl)
+        
+    for i in range(len(bin_profile_ids_sorted)):
+        bin_profile_id = bin_profile_ids_sorted[i]
+        bin_profile = bin_profiles[bin_profile_id]
+
+        mut_details = binProfilesDetailsToStr(bin_profiles_details[bin_profile_id])
+
+        s0, s1, i0, i1, r0, r1 = compareProfiles(bin_profile, dr_profile)
+        if show_profiles in ["B","Y"]:
+            tl = ''.join(bin_profile) + "\t"
+        elif show_profiles == "K": 
+            tl = ''.join(profileSubset(bin_profile, drp.getKnown())) + "\t"
+        elif show_profiles == "R":
+            tl = ''.join(profileSubset(bin_profile, drp.getResistant() | drp.getInterresistant())) + "\t"
+        else: 
+            tl = ""
+
+
+        tl += "\t".join(map(str, [s0,s1,i0,i1,r0,r1])) + "\t"
+        tl += str(bin_profile_id) + "\t"
+        
+        for score in score_params:
+            if not score in score_map:
+                tl += "NA"
+            elif not bin_profile_id in score_map[score]:
+                tl += "NA"
+            else:
+                tl += score_map[score][bin_profile_id]
+            tl += "\t"
+
+        tl += mut_details + "\n"
+        tls.append(tl)
+
+    output_fh = open(analysis_comb_dir + drug_name + ".txt", "w") 
+    for tl in tls:
+        output_fh.write(tl)
+    output_fh.close()
+    
+    return drug_name
+    
+if __name__ == '__main__':
+    print("a1_save_details_scores_all.py. Start.")
+
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_dir = parameters["RESULTS_ANALYSIS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_DIR"]
+    
+    ensure_dir(analysis_dir)
+    ensure_dir(analysis_comb_dir)
+    print("Save to: "+ analysis_comb_dir)
+
+    TASKS = []
+    TASK = {}
+    
+    input_fn = results_dir + "/res_profiles.txt"
+    input_fh = open(input_fn)
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    
+    for drug_name in drug_names:
+        TASK["DRUG_NAME"] = drug_name
+
+        TASKS.append(TASK.copy())
+
+    progress = GWAMARProgress("Associations all (drug specific)")
+    progress.setJobsCount(len(TASKS))
+        
+    if WORKERS > 1:
+        pool = Pool(processes=WORKERS)
+        for r in pool.imap(saveScoresCombined, TASKS):
+            progress.update(str(r))
+    else:
+        for T in TASKS:
+            r = saveScoresCombined(T)
+            progress.update(str(r))
+
+    print("a1_save_details_scores_all.py. Finished.")
+    
\ No newline at end of file
diff --git a/src/drsoft/analysis/a2_save_details_scores_sel.py b/src/drsoft/analysis/a2_save_details_scores_sel.py
new file mode 100644
index 0000000..eb3afb8
--- /dev/null
+++ b/src/drsoft/analysis/a2_save_details_scores_sel.py
@@ -0,0 +1,206 @@
+import sys
+import os
+import copy
+import multiprocessing
+from multiprocessing import Pool
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_ann_utils import readClusterGeneIDs
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_res_utils import compareProfiles
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_scoring import *
+from drsoft.utils.gwamar_muts_io_utils import *
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+
+def saveScoresCombined(params):
+    drug_name = params["DRUG_NAME"]
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    gold_dir = parameters["DATASET_GOLD_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_SEL_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    show_profiles = parameters.get("SP", "B")
+    score_sort = parameters.get("SCORE_SORT", "r-tgh")
+
+    input_fh = open(input_dir + "/strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+
+    score_params = list(parameters["SCORES"].split(","))
+    
+
+    input_fh = open(results_dir + "/res_profiles.txt")
+    res_profiles_list = readResistanceProfiles(input_fh, load_int=True)
+    input_fh.close()
+    
+    res_profiles = {}
+    for res_profile in res_profiles_list:
+        res_profiles[res_profile.drug_name] = res_profile
+    drp = res_profiles[drug_name]
+
+    bin_profile_ids = set([])
+    score_map = {}
+
+
+    for score in score_params:
+        score_map[score] = {}
+        input_fn = scores_dir + drug_name + "/" + score + ".txt"
+        if not os.path.exists(input_fn):
+            continue     
+        input_fh = open(input_fn) 
+        for line in input_fh.readlines():
+            tokens = line.split()
+            if len(tokens) < 2: continue
+            bin_profile_id = tokens[0]
+            score_val = tokens[1]
+            bin_profile_ids.add(bin_profile_id)
+            score_map[score][bin_profile_id] = score_val
+        input_fh.close()
+    
+    revord = revOrder(score_sort)
+
+    bin_profile_ids_sorted = sorted(bin_profile_ids, key=lambda bin_profile_id:(
+                    revord*float(score_map.get(score_sort,{}).get(bin_profile_id,0.0))
+                    ))
+
+    input_fh = open(results_dir + '/bin_profiles_' + parameters["MT"] + '.txt')         
+    bin_profiles = readBinProfiles(input_fh, strains.count(), gen_bin_profiles=True, decompress=True)
+    input_fh.close()
+
+    input_fh = open(results_dir + '/bin_profiles_' + parameters["MT"] + '_det.txt')
+    bin_profile_details = readBinProfileDetails(input_fh, strains.count(), parameters["MT"], out_format="tuple", ref_counts=True)
+    input_fh.close()
+
+    if os.path.exists(input_dir + "/cluster_gene_ref_ids.txt"):
+        cluster_fh = open(input_dir + "/cluster_gene_ref_ids.txt")
+        cluster_ids, cluster_ids_rev = readClusterGeneIDs(cluster_fh, gene_ref_ids=True)
+        cluster_fh.close()
+    else:
+        cluster_ids = {}
+        cluster_ids_rev = {}
+    
+    input_fn = gold_dir + "/gold_assocs_H.txt"
+
+    if not os.path.exists(input_fn):
+        print("No file: " + input_fn)
+        exit()
+
+    input_fh = open(input_fn)
+    drug_res_rels = readGoldAssociations(input_fh, cluster_ids_rev, genes_level=True)#loadDrugResRels(input_fh, cluster_ids_rev, genes_level=True)
+    input_fh.close()
+
+    drug_res_rels["Rifampicin"]["Rv0668"] = None
+    drug_res_rels["Rifampicin"]["Rv3457c"] = None
+
+    bin_profiles_res_rel = selectResRelBinProfiles(bin_profile_details, drug_res_rels.get(drug_name, {}), cluster_ids, cluster_ids_rev)
+    
+    tls = []
+    
+    dr_profile = drp.getFullKey()
+    
+    if show_profiles in ["B","Y"]:
+        tl = dr_profile + "\t"
+    elif show_profiles == "K":
+        tl = ''.join(profileSubset(drp.full_profile, drp.getKnown())) + "\t"
+    elif show_profiles == "R":
+        tl = ''.join(profileSubset(drp.full_profile, drp.getResistant() | drp.getInterresistant())) + "\t"
+    else: 
+        tl = ""
+    
+    tl += "S0\tS1\tI0\tI1\tR0\tR1\t"
+    tl += "profile_id\t"
+    tl += "\t".join(score_params) + "\t"
+    tl += "details" + "\n"
+    tls.append(tl)
+        
+    for i in range(len(bin_profile_ids_sorted)):
+        bin_profile_id = bin_profile_ids_sorted[i]
+        if not bin_profile_id in bin_profiles_res_rel:
+            continue
+        bin_profile = bin_profiles[bin_profile_id]
+        mut_details = binProfilesDetailsToStr(bin_profiles_res_rel[bin_profile_id])
+
+        s0, s1, i0, i1, r0, r1 = compareProfiles(bin_profile, dr_profile) 
+        
+        if show_profiles in ["B","Y"]:
+            tl = ''.join(bin_profile) + "\t"
+        elif show_profiles == "K": 
+            tl = ''.join(profileSubset(bin_profile, drp.getKnown())) + "\t"
+        elif show_profiles == "R":
+            tl = ''.join(profileSubset(bin_profile, drp.getResistant() | drp.getInterresistant())) + "\t"
+        else: tl = ""
+
+
+        tl += "\t".join(map(str, [s0,s1,i0,i1,r0,r1])) + "\t"
+        tl += str(bin_profile_id) + "\t"
+        
+        for score in score_params:
+            if not score in score_map:
+                tl += "NA"
+            elif not bin_profile_id in score_map[score]:
+                tl += "NA"
+            else:
+                tl += score_map[score][bin_profile_id]
+            tl += "\t"
+
+        tl += mut_details + "\n"
+        tls.append(tl)
+
+    output_fh = open(analysis_comb_dir + drug_name + ".txt", "w") 
+    for tl in tls:
+        output_fh.write(tl)
+    output_fh.close()
+    
+    return drug_name
+    
+if __name__ == '__main__':
+    print("a2_save_details_scores_sel.py: Start.")
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_dir = parameters["RESULTS_ANALYSIS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_SEL_DIR"]
+    
+    ensure_dir(analysis_dir)
+    ensure_dir(analysis_comb_dir)
+    print("Save to: " + analysis_comb_dir)
+
+    TASKS = []
+    TASK = {}
+    
+    input_fn = results_dir + "/res_profiles.txt"
+    input_fh = open(input_fn)
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    
+    for drug_name in drug_names:
+        TASK["DRUG_NAME"] = drug_name
+        TASKS.append(TASK.copy())
+
+    progress = GWAMARProgress("Associations selected (drug specific)")
+    progress.setJobsCount(len(TASKS))
+        
+    if WORKERS > 1:
+        pool = Pool(processes=WORKERS)
+        for r in pool.imap(saveScoresCombined, TASKS):
+            progress.update("r:"+str(r))
+    else:
+        for T in TASKS:
+            r = saveScoresCombined(T)
+            progress.update("r:"+str(r))
+
+    print("a2_save_details_scores_sel.py: Finished.")
diff --git a/src/drsoft/analysis/a3_save_associations_all.py b/src/drsoft/analysis/a3_save_associations_all.py
new file mode 100644
index 0000000..0923edd
--- /dev/null
+++ b/src/drsoft/analysis/a3_save_associations_all.py
@@ -0,0 +1,278 @@
+import sys
+import os
+import shutil
+import multiprocessing
+from multiprocessing import Pool
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_ann_utils import readClusterGeneIDs
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_res_utils import compareProfiles
+from drsoft.utils.gwamar_res_io_utils import readResistanceProfiles
+from drsoft.utils.gwamar_muts_io_utils import *
+from drsoft.utils.gwamar_scoring import revOrder
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+
+THR = 10000
+
+
+def printGoldShort(gold_assocs, comment=""):
+    for drug_name in gold_assocs:
+        tmp = gold_assocs[drug_name].keys()
+        tl = comment+" " +drug_name +" "
+        for gene_id in tmp:
+            tl += gene_id +"("+str(len(gold_assocs[drug_name][gene_id]))+"),"
+
+        print(tl.strip(","))
+
+def readScoresMap(input_fh):
+    scores_map = {}
+    for line in input_fh.readlines():
+        tokens = line.split()
+        if len(tokens) < 2: continue
+        bin_profile_id = tokens[0]
+        score = float(tokens[1])
+        scores_map[bin_profile_id] = score
+    return scores_map
+
+def readScoreMutations(bin_profile_details, scores_bin_map):
+    n = len(scores_bin_map)
+    if n == 0: return []
+    mut_scores = {}
+
+    for bin_profile_id in scores_bin_map:
+        bin_profile_score = scores_bin_map[bin_profile_id]
+        bin_profile = bin_profiles.get(bin_profile_id, None)
+        if bin_profile == None: continue
+
+        for (gene_id, cluster_id, gene_name, position, res_states_txt, mut_states_txt) in bin_profile_details.get(bin_profile_id, []):
+            mut_key = " ".join([gene_id, cluster_id, gene_name, str(position), res_states_txt, mut_states_txt])
+            score = scores_bin_map.get(bin_profile_id, 0.0)
+            mut_scores[(mut_key, bin_profile_id)] = score
+
+    return mut_scores
+
+def goldAssociations(bin_profile_details, drug_name):
+    mut_assocs = {}
+    for bin_profile_id in bin_profile_details:
+        for (gene_id, cluster_id, gene_name, position, res_states_txt, mut_states_txt) in bin_profile_details.get(bin_profile_id, []):
+            if cluster_id in drug_res_all_db.get(drug_name,[]) and position in drug_res_all_db[drug_name][cluster_id]:
+                db_all = "Y"
+            elif gene_id in drug_res_all_db.get(drug_name,[]) and position in drug_res_all_db[drug_name][gene_id]:
+                db_all = "Y"
+            elif cluster_id in drug_res_conf_db.get(drug_name,[]) and position in drug_res_conf_db[drug_name][cluster_id]:
+                db_all = "Y"
+            elif gene_id in drug_res_conf_db.get(drug_name,[]) and position in drug_res_conf_db[drug_name][gene_id]:
+                db_all = "Y"
+            else: db_all = "N"
+            
+            if cluster_id in drug_res_conf_db.get(drug_name,[]) and position in drug_res_conf_db[drug_name][cluster_id]:
+                db_hc = "Y"
+            elif gene_id in drug_res_conf_db.get(drug_name,[]) and position in drug_res_conf_db[drug_name][gene_id]:
+                db_hc = "Y"
+            else: db_hc = "N"
+
+            if cluster_id in drug_res_conf_db.get(drug_name,[]) and len(set([position,position-1,position+1]) & set(drug_res_conf_db[drug_name][cluster_id].keys()))>0:
+                db_neigh_hc = "Y"
+            elif gene_id in drug_res_conf_db.get(drug_name,[]) and len(set([position,position-1,position+1]) & set(drug_res_conf_db[drug_name][gene_id].keys()))>0:
+                db_neigh_hc = "Y"
+            else: db_neigh_hc = "N"
+
+          #  if db_neigh_hc == "Y" and db_hc == "N":
+          #      print(gene_id, cluster_id, gene_name, position, res_states_txt, mut_states_txt)
+            if cluster_id in drug_res_all_db.get(drug_name,[]) or gene_id in drug_res_all_db.get(drug_name,[]):
+                db_gene_all = "Y"
+            elif cluster_id in drug_res_conf_db.get(drug_name,[]) or gene_id in drug_res_conf_db.get(drug_name,[]):
+                db_gene_all = "Y"
+            else: db_gene_all = "N"
+
+            if cluster_id in drug_res_conf_db.get(drug_name,[]) or gene_id in drug_res_conf_db.get(drug_name,[]):
+                db_gene_high = "Y"
+            else: db_gene_high = "N"
+
+            mut_key = " ".join(map(str, [gene_id, cluster_id, gene_name, position, res_states_txt, mut_states_txt]))
+
+            mut_assocs[(drug_name, mut_key)] = "\t".join([db_all, db_hc, db_neigh_hc, db_gene_all, db_gene_high])
+    
+    return mut_assocs
+
+def saveAssociations(params):
+
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+
+    dataset = parameters["D"]
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    analysis_dir = parameters["RESULTS_ANALYSIS_DIR"]
+
+    score, gold_assocs = params
+    
+    statistics = {}
+    associations = {}
+
+    revord = revOrder(score)
+                     
+    for drug_res_profile in drug_res_profiles:
+        dr_profile = drug_res_profile.full_profile
+        drug_name = drug_res_profile.drug_name
+
+        bin_profiles_res_rel = bin_profile_details
+
+        input_fn = scores_dir + "/" + drug_name  + "/" + score + ".txt"
+        if not os.path.exists(input_fn) or os.path.getsize(input_fn) < 10:
+            print("NOT EXIST: ", input_fn)
+            output_fn = analysis_dir + "/assocs_best_all/" + score + ".txt"
+            if os.path.exists(output_fn):
+                os.remove(output_fn)
+            return score
+        else:
+            input_fh = open(input_fn)
+            bin_scores_map = readScoresMap(input_fh)
+            input_fh.close()
+            
+
+        mut_scores = readScoreMutations(bin_profiles_res_rel, bin_scores_map)
+        drug_name_id = drug_name
+        for (mutkey, bin_profile_id) in mut_scores:
+            mutkey_id = mutkey
+            bin_profile = bin_profiles[bin_profile_id]
+
+            associations[(drug_name_id, mutkey_id)] = mut_scores[(mutkey, bin_profile_id)]
+
+            s0, s1, i0, i1, r0, r1 = compareProfiles(bin_profile, dr_profile)  
+            statistics[(drug_name_id, mutkey_id)] = "\t".join(map(str, [s0, s1, i0, i1, r0, r1]))
+
+    associations_sorted = sorted(associations, key=lambda assoc_key:revord*associations[assoc_key])[:THR]
+            
+    output_fn = analysis_dir + "/assocs_best_all/" + score + ".txt"    
+    output_fh = open(output_fn, "w")
+    for (drug_name_id, mutkey_id) in associations_sorted:
+        score_val = associations[(drug_name_id, mutkey_id)]
+        stats_tmp = statistics[(drug_name_id, mutkey_id)]
+        gold_assoc = gold_assocs[(drug_name_id, mutkey_id)]
+        db_all, db_hc, db_neigh_hc, db_gene_all, db_gene_high = gold_assoc.split()
+
+        gene_id, cluster_id, gene_name, position, ref_states_txt, mut_states_txt = mutkey_id.split()
+        mut_info = "\t".join([gene_id, gene_name, ref_states_txt+position+mut_states_txt.replace(",","/")])
+
+        tl = "\t".join(map(str,[drug_name_id, mut_info, db_all, db_hc, score_val]))
+        output_fh.write(tl + "\n")    
+    output_fh.close()
+    return score
+
+if __name__ == '__main__':
+    print("a3_save_associations.py: saves association lists.")
+
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    dataset = parameters["D"]
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    gold_dir = parameters["DATASET_GOLD_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    analysis_dir = parameters["RESULTS_ANALYSIS_DIR"]
+
+    WORKERS = min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    scores_p = parameters["SCORES"].split(",")
+
+
+    ensure_dir(analysis_dir + "/assocs_best_all/")
+    
+    input_fh = open(input_dir + "/strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+
+    m_type = parameters["MT"]
+    
+    input_fh = open(results_dir + "/res_profiles.txt")
+    drug_res_profiles = readResistanceProfiles(input_fh, load_int=True)
+    input_fh.close()
+    
+    input_fh = open(results_dir + 'bin_profiles_' + m_type + '_det.txt')
+    bin_profile_details = readBinProfileDetails(input_fh, strains.count(), mut_type=m_type, out_format="tuple", ref_counts=False, mut_counts=True)
+    input_fh.close()
+
+    input_fh = open(results_dir + 'bin_profiles_' + m_type + '.txt')
+    bin_profiles = readBinProfiles(input_fh, strains.count(), gen_bin_profiles=True)
+    input_fh.close()
+    
+    input_fn = input_dir + "/cluster_gene_ref_ids.txt"
+    if os.path.exists(input_fn):
+        cluster_fh = open(input_dir + "/cluster_gene_ref_ids.txt")
+        cluster_ids, cluster_ids_rev = readClusterGeneIDs(cluster_fh, gene_ref_ids=True)
+        cluster_fh.close()
+    else:
+        cluster_ids = {} 
+        cluster_ids_rev = {}
+
+    input_fn = gold_dir + "/gold_assocs_H.txt"
+    if not os.path.exists(input_fn):
+        print("File does not exist:" + input_fn)
+        drug_res_conf_db = {}
+    else:
+        input_fh = open(input_fn)
+        drug_res_conf_db = readGoldAssociations(input_fh, cluster_ids_rev)
+        input_fh.close()
+    
+    input_fn = gold_dir + "/gold_assocs_A.txt"
+    if not os.path.exists(input_fn):
+        print("File does not exist:" + input_fn)
+        drug_res_all_db = {}
+    else:
+        input_fh = open(input_fn)
+        drug_res_all_db = readGoldAssociations(input_fh, cluster_ids_rev)
+        input_fh.close()
+
+    score_params_union = set([])    
+    for drug_res_profile in drug_res_profiles:
+        drug_name = drug_res_profile.drug_name
+
+        for score_fn in os.listdir(scores_dir + "/" + drug_name):
+            input_fn = scores_dir + "/" + drug_name  + "/" + score_fn
+            if os.path.exists(input_fn): 
+                score_tmp = score_fn[:-4]
+                if score_tmp in scores_p:
+                    score_params_union.add(score_tmp)
+
+    printGoldShort(drug_res_all_db, "all")
+    printGoldShort(drug_res_conf_db, "hc")
+
+    gold_assocs = {}
+
+    for drug_res_profile in drug_res_profiles:
+        dr_profile = drug_res_profile.full_profile
+        drug_name = drug_res_profile.drug_name
+        gold_assoscs_tmp = goldAssociations(bin_profile_details,drug_name)
+        for (drug_name, mutkey) in gold_assoscs_tmp:
+            drug_name_id = drug_name
+            mutkey_id = mutkey
+            gold_assocs[(drug_name_id, mutkey_id)] = gold_assoscs_tmp[(drug_name, mutkey)]
+
+    TASKS = []
+    for score in list(score_params_union):
+        TASKS.append((score, gold_assocs))
+
+    WORKERS = min(WORKERS, len(TASKS))
+
+    progress = GWAMARProgress("Associations all")
+    progress.setJobsCount(len(TASKS))
+    if WORKERS > 1:
+        pool = Pool(processes=WORKERS)
+        for r in pool.imap(saveAssociations, TASKS):
+            progress.update(str(r))
+    else:
+        for T in TASKS:
+            r = saveAssociations(T)
+            progress.update(str(r))
+
+    print("cmp0_save_associations.py: Finished.")
diff --git a/src/drsoft/analysis/a4_save_associations_sel.py b/src/drsoft/analysis/a4_save_associations_sel.py
new file mode 100644
index 0000000..96909c6
--- /dev/null
+++ b/src/drsoft/analysis/a4_save_associations_sel.py
@@ -0,0 +1,294 @@
+import sys
+import os
+import shutil
+import multiprocessing
+import re
+from multiprocessing import Pool
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_ann_utils import readClusterGeneIDs
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_res_utils import compareProfiles
+from drsoft.utils.gwamar_res_io_utils import readResistanceProfiles
+from drsoft.utils.gwamar_muts_io_utils import *
+from drsoft.utils.gwamar_scoring import revOrder
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+
+THR = 10000
+
+def printGoldShort(gold_assocs, comment=""):
+    for drug_name in gold_assocs:
+        tmp = gold_assocs[drug_name].keys()
+        tl = comment+" " +drug_name +" "
+        for gene_id in tmp:
+            tl += gene_id +"("+str(len(gold_assocs[drug_name][gene_id]))+"),"
+
+        print(tl.strip(","))
+
+def readScoresMap(input_fh):
+    scores_map = {}
+    for line in input_fh.readlines():
+        tokens = line.split()
+        if len(tokens) < 2: continue
+        bin_profile_id = tokens[0]
+        score = float(tokens[1])
+        scores_map[bin_profile_id] = score
+    return scores_map
+
+def readScoreMutations(bin_profile_details, scores_bin_map):
+    n = len(scores_bin_map)
+    if n == 0: return []
+    mut_scores = {}
+
+    for bin_profile_id in scores_bin_map:
+        bin_profile_score = scores_bin_map[bin_profile_id]
+        bin_profile = bin_profiles.get(bin_profile_id, None)
+        if bin_profile == None: continue
+
+        for (gene_id, cluster_id, gene_name, position, res_states_txt, mut_states_txt) in bin_profile_details.get(bin_profile_id, []):
+            mut_key = " ".join([gene_id, cluster_id, gene_name, str(position), res_states_txt, mut_states_txt])
+            score = scores_bin_map.get(bin_profile_id, 0.0)
+            mut_scores[(mut_key, bin_profile_id)] = score
+
+    return mut_scores
+
+def goldAssociations(bin_profile_details, drug_name):
+    mut_assocs = {}
+    for bin_profile_id in bin_profile_details:
+        for (gene_id, cluster_id, gene_name, position, res_states_txt, mut_states_txt) in bin_profile_details.get(bin_profile_id, []):
+            if cluster_id in drug_res_all_db.get(drug_name,[]) and position in drug_res_all_db[drug_name][cluster_id]:
+                db_all = "Y"
+            elif gene_id in drug_res_all_db.get(drug_name,[]) and position in drug_res_all_db[drug_name][gene_id]:
+                db_all = "Y"
+            elif cluster_id in drug_res_conf_db.get(drug_name,[]) and position in drug_res_conf_db[drug_name][cluster_id]:
+                db_all = "Y"
+            elif gene_id in drug_res_conf_db.get(drug_name,[]) and position in drug_res_conf_db[drug_name][gene_id]:
+                db_all = "Y"
+            else: db_all = "N"
+            
+            if cluster_id in drug_res_conf_db.get(drug_name,[]) and position in drug_res_conf_db[drug_name][cluster_id]:
+                db_hc = "Y"
+            elif gene_id in drug_res_conf_db.get(drug_name,[]) and position in drug_res_conf_db[drug_name][gene_id]:
+                db_hc = "Y"
+            else: db_hc = "N"
+
+            if cluster_id in drug_res_conf_db.get(drug_name,[]) and len(set([position,position-1,position+1]) & set(drug_res_conf_db[drug_name][cluster_id].keys()))>0:
+                db_neigh_hc = "Y"
+            elif gene_id in drug_res_conf_db.get(drug_name,[]) and len(set([position,position-1,position+1]) & set(drug_res_conf_db[drug_name][gene_id].keys()))>0:
+                db_neigh_hc = "Y"
+            else: db_neigh_hc = "N"
+
+          #  if db_neigh_hc == "Y" and db_hc == "N":
+          #      print(gene_id, cluster_id, gene_name, position, res_states_txt, mut_states_txt)
+            if cluster_id in drug_res_all_db.get(drug_name,[]) or gene_id in drug_res_all_db.get(drug_name,[]):
+                db_gene_all = "Y"
+            elif cluster_id in drug_res_conf_db.get(drug_name,[]) or gene_id in drug_res_conf_db.get(drug_name,[]):
+                db_gene_all = "Y"
+            else: db_gene_all = "N"
+
+            if cluster_id in drug_res_conf_db.get(drug_name,[]) or gene_id in drug_res_conf_db.get(drug_name,[]):
+                db_gene_high = "Y"
+            else: db_gene_high = "N"
+
+            mut_key = " ".join([gene_id, cluster_id, gene_name, str(position), res_states_txt, mut_states_txt])
+
+            mut_assocs[(drug_name, mut_key)] = "\t".join([db_all, db_hc, db_neigh_hc, db_gene_all, db_gene_high])
+    
+    return mut_assocs
+
+def saveAssociations(params):
+
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+
+    dataset = parameters["D"]
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    ranks_dir = parameters["RESULTS_RANKS_DIR"]
+    analysis_dir = parameters["RESULTS_ANALYSIS_DIR"]
+    output_type = parameters.get("A_OUTPUT_TYPE", "LATEX")
+
+    score, gold_assocs = params
+    
+    statistics = {}
+    associations = {}
+
+    revord = revOrder(score)
+                     
+    for drug_res_profile in drug_res_profiles:
+        dr_profile = drug_res_profile.full_profile
+        drug_name = drug_res_profile.drug_name
+
+        bin_profiles_res_rel = bin_profile_details
+
+        input_fn = scores_dir + "/" + drug_name  + "/" + score + ".txt"
+        if not os.path.exists(input_fn) or os.path.getsize(input_fn) < 10:
+            print("NOT EXIST: ", input_fn)
+            output_fn = analysis_dir + "/assocs_best_sel/" + score + ".txt"
+            if os.path.exists(output_fn):
+                os.remove(output_fn)
+            return score
+        else:
+            input_fh = open(input_fn)
+            bin_scores_map = readScoresMap(input_fh)
+            input_fh.close()
+            
+
+        mut_scores = readScoreMutations(bin_profiles_res_rel, bin_scores_map)
+        drug_name_id = drug_name
+        for (mutkey, bin_profile_id) in mut_scores:
+            mutkey_id = mutkey
+            bin_profile = bin_profiles[bin_profile_id]
+
+            associations[(drug_name_id, mutkey_id)] = mut_scores[(mutkey, bin_profile_id)]
+
+            s0, s1, i0, i1, r0, r1 = compareProfiles(bin_profile, dr_profile)  
+            statistics[(drug_name_id, mutkey_id)] = "\t".join(map(str, [s0, s1, i0, i1, r0, r1]))
+
+    associations_sorted = sorted(associations, key=lambda assoc_key: revord*associations[assoc_key])
+
+    shown = 0
+    output_fn = analysis_dir + "/assocs_best_sel/" + score + ".txt"    
+    output_fh = open(output_fn, "w")
+    for (drug_name_id, mutkey_id) in associations_sorted:
+        score_val = associations[(drug_name_id, mutkey_id)]
+        stats_tmp = statistics[(drug_name_id, mutkey_id)]
+        gold_assoc = gold_assocs[(drug_name_id, mutkey_id)]
+        db_all, db_hc, db_neigh_hc, db_gene_all, db_gene_high = gold_assoc.split()
+        if db_gene_high == "Y":
+            shown += 1
+            gene_id, cluster_id, gene_name, position, ref_states_txt, mut_states_txt = mutkey_id.split()
+            #mut_info = "\t".join([gene_id, gene_name, ref_states_txt+position+mut_states_txt.replace(",","/").replace("/*","")])
+            if output_type.startswith("L"):
+                mut_states_out = mutsDescToLatex(mut_states_txt)
+            else:
+                mut_states_out = mut_states_txt
+            mut_info = "\t".join([gene_id, gene_name, ref_states_txt+position+mut_states_out])
+            score_val_out = str("%.3f" % float(score_val))
+            tl = "\t".join(map(str,[drug_name_id, mut_info, db_all, db_hc, score_val_out]))
+
+            output_fh.write(tl + "\n")
+        if shown > THR: break
+    output_fh.close()
+    return score
+
+if __name__ == '__main__':
+    print("a3_save_associations.py: saves association lists.")
+
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    dataset = parameters["D"]
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    gold_dir = parameters["DATASET_GOLD_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    ranks_dir = parameters["RESULTS_RANKS_DIR"]
+    analysis_dir = parameters["RESULTS_ANALYSIS_DIR"]
+
+    WORKERS = min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    scores_p = parameters["SCORES"].split(",")
+
+
+    ensure_dir(analysis_dir)
+    ensure_dir(analysis_dir + "/assocs_best_sel/")
+    
+    input_fh = open(input_dir + "/strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+
+    m_type = parameters["MT"]
+    
+    input_fh = open(results_dir + "/res_profiles.txt")
+    drug_res_profiles = readResistanceProfiles(input_fh, load_int=True)
+    input_fh.close()
+    
+    input_fh = open(results_dir + 'bin_profiles_' + m_type + '_det.txt')
+    bin_profile_details = readBinProfileDetails(input_fh, strains.count(), mut_type=m_type, out_format="tuple", ref_counts=False, mut_counts=True)
+    input_fh.close()
+
+    for bin_profile_det_k in bin_profile_details.keys()[:2]:
+        print(bin_profile_det_k, bin_profile_details[bin_profile_det_k])
+
+    input_fh = open(results_dir + 'bin_profiles_' + m_type + '.txt')
+    bin_profiles = readBinProfiles(input_fh, strains.count(), gen_bin_profiles=True)
+    input_fh.close()
+    
+    input_fn = input_dir + "/cluster_gene_ref_ids.txt"
+    if os.path.exists(input_fn):
+        cluster_fh = open(input_dir + "/cluster_gene_ref_ids.txt")
+        cluster_ids, cluster_ids_rev = readClusterGeneIDs(cluster_fh, gene_ref_ids=True)
+        cluster_fh.close()
+    else:
+        cluster_ids = {} 
+        cluster_ids_rev = {}
+
+    input_fn = gold_dir + "/gold_assocs_H.txt"
+    if not os.path.exists(input_fn):
+        print("File does not exist:" + input_fn)
+        drug_res_conf_db = {}
+    else:
+        input_fh = open(input_fn)
+        drug_res_conf_db = readGoldAssociations(input_fh, cluster_ids_rev)
+        input_fh.close()
+    
+    input_fn = gold_dir + "/gold_assocs_A.txt"
+    if not os.path.exists(input_fn):
+        print("File does not exist:" + input_fn)
+        drug_res_all_db = {}
+    else:
+        input_fh = open(input_fn)
+        drug_res_all_db = readGoldAssociations(input_fh, cluster_ids_rev)
+        input_fh.close()
+
+    score_params_union = set([])    
+    for drug_res_profile in drug_res_profiles:
+        drug_name = drug_res_profile.drug_name
+
+        for score_fn in os.listdir(scores_dir + "/" + drug_name):
+            input_fn = scores_dir + "/" + drug_name  + "/" + score_fn
+            if os.path.exists(input_fn): 
+                score_tmp = score_fn[:-4]
+                if score_tmp in scores_p:
+                    score_params_union.add(score_tmp)
+
+    printGoldShort(drug_res_all_db, "all")
+    printGoldShort(drug_res_conf_db, "hc")
+
+    gold_assocs = {}
+
+    for drug_res_profile in drug_res_profiles:
+        dr_profile = drug_res_profile.full_profile
+        drug_name = drug_res_profile.drug_name
+        gold_assoscs_tmp = goldAssociations(bin_profile_details,drug_name)
+        for (drug_name, mutkey) in gold_assoscs_tmp:
+            drug_name_id = drug_name
+            mutkey_id = mutkey
+            gold_assocs[(drug_name_id, mutkey_id)] = gold_assoscs_tmp[(drug_name, mutkey)]
+
+    TASKS = []
+    for score in list(score_params_union):
+        TASKS.append((score, gold_assocs))
+
+    WORKERS = min(WORKERS, len(TASKS))
+
+    progress = GWAMARProgress("Associations selected")
+    progress.setJobsCount(len(TASKS))
+    if WORKERS > 1:
+        pool = Pool(processes=WORKERS)
+        for r in pool.imap(saveAssociations, TASKS):
+            progress.update(str(r))
+    else:
+        for T in TASKS:
+            r = saveAssociations(T)
+            progress.update(str(r))
+
+    print("cmp0_save_associations.py: Finished.")
diff --git a/src/drsoft/comparison/__init__.py b/src/drsoft/comparison/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/drsoft/comparison/cmp0_save_associations.py b/src/drsoft/comparison/cmp0_save_associations.py
new file mode 100644
index 0000000..60313ab
--- /dev/null
+++ b/src/drsoft/comparison/cmp0_save_associations.py
@@ -0,0 +1,334 @@
+import sys
+import os
+import shutil
+import multiprocessing
+from multiprocessing import Pool
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_ann_utils import readClusterGeneIDs
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_res_utils import compareProfiles
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_muts_io_utils import *
+from drsoft.utils.gwamar_scoring import revOrder
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+
+def readGeneSet(input_fh):
+    lines = input_fh.readlines()
+    genes_set = set([])
+    for line in lines:
+        line = line.strip()
+        genes_set.add(line)
+    return genes_set
+
+
+def printGoldShort(gold_assocs, comment=""):
+    for drug_name in gold_assocs:
+        tmp = gold_assocs[drug_name].keys()
+        tl = comment+" " +drug_name +" "
+        for gene_id in tmp:
+            tl += gene_id +"("+str(len(gold_assocs[drug_name][gene_id]))+"),"
+
+        print(tl.strip(","))
+
+def readScoresMap(input_fh):
+    scores_map = {}
+    for line in input_fh.readlines():
+        tokens = line.split()
+        if len(tokens) < 2: continue
+        bin_profile_id = tokens[0]
+        score = float(tokens[1])
+        scores_map[bin_profile_id] = score
+    return scores_map
+
+def mutationsIDmap(bin_profile_details):
+    mutations_map = {}
+    mut_key_id = 0
+
+    for bin_profile_id in bin_profile_details:
+        for (gene_id, cluster_id, gene_name, position, res_states_txt, mut_states_txt) in bin_profile_details.get(bin_profile_id, []):
+            mut_key = " ".join([gene_id, cluster_id, gene_name, str(position), res_states_txt, mut_states_txt])
+            mutations_map[mut_key] = mut_key_id
+            mut_key_id += 1
+    return mutations_map
+
+def readScoreMutations(bin_profile_details, scores_bin_map):
+    n = len(scores_bin_map)
+    if n == 0: return []
+    mut_scores = {}
+
+    for bin_profile_id in scores_bin_map:
+        bin_profile_score = scores_bin_map[bin_profile_id]
+        bin_profile = bin_profiles.get(bin_profile_id, None)
+        if bin_profile == None: continue
+
+        for (gene_id, cluster_id, gene_name, position, res_states_txt, mut_states_txt) in bin_profile_details.get(bin_profile_id, []):
+            mut_key = " ".join([gene_id, cluster_id, gene_name, str(position), res_states_txt, mut_states_txt])
+            score = scores_bin_map.get(bin_profile_id, 0.0)
+            mut_scores[(mut_key, bin_profile_id)] = score
+
+    return mut_scores
+
+def goldAssociations(bin_profile_details, drug_name):
+    mut_assocs = {}
+    for bin_profile_id in bin_profile_details:
+        for (gene_id, cluster_id, gene_name, position, res_states_txt, mut_states_txt) in bin_profile_details.get(bin_profile_id, []):
+            if cluster_id in drug_res_all_db.get(drug_name,[]) and position in drug_res_all_db[drug_name][cluster_id]:
+                db_all = "Y"
+            elif gene_id in drug_res_all_db.get(drug_name,[]) and position in drug_res_all_db[drug_name][gene_id]:
+                db_all = "Y"
+            elif cluster_id in drug_res_conf_db.get(drug_name,[]) and position in drug_res_conf_db[drug_name][cluster_id]:
+                db_all = "Y"
+            elif gene_id in drug_res_conf_db.get(drug_name,[]) and position in drug_res_conf_db[drug_name][gene_id]:
+                db_all = "Y"
+            else: db_all = "N"
+            
+            if cluster_id in drug_res_conf_db.get(drug_name,[]) and position in drug_res_conf_db[drug_name][cluster_id]:
+                db_hc = "Y"
+            elif gene_id in drug_res_conf_db.get(drug_name,[]) and position in drug_res_conf_db[drug_name][gene_id]:
+                db_hc = "Y"
+            else: db_hc = "N"
+
+            if cluster_id in drug_res_conf_db.get(drug_name,[]) and len(set([position,position-1,position+1]) & set(drug_res_conf_db[drug_name][cluster_id].keys()))>0:
+                db_neigh_hc = "Y"
+            elif gene_id in drug_res_conf_db.get(drug_name,[]) and len(set([position,position-1,position+1]) & set(drug_res_conf_db[drug_name][gene_id].keys()))>0:
+                db_neigh_hc = "Y"
+            else: db_neigh_hc = "N"
+
+          #  if db_neigh_hc == "Y" and db_hc == "N":
+          #      print(gene_id, cluster_id, gene_name, position, res_states_txt, mut_states_txt)
+            if cluster_id in drug_res_all_db.get(drug_name,[]) or gene_id in drug_res_all_db.get(drug_name,[]):
+                db_gene_all = "Y"
+            elif cluster_id in drug_res_conf_db.get(drug_name,[]) or gene_id in drug_res_conf_db.get(drug_name,[]):
+                db_gene_all = "Y"
+            else: db_gene_all = "N"
+
+            if cluster_id in drug_res_conf_db.get(drug_name,[]) or gene_id in drug_res_conf_db.get(drug_name,[]):
+                db_gene_high = "Y"
+            else: db_gene_high = "N"
+
+            if gene_id in broad_genes: broad_gene_q = "Y"
+            else: broad_gene_q = "N"
+
+            mut_key = " ".join([gene_id, cluster_id, gene_name, str(position), res_states_txt, mut_states_txt])
+
+            mut_assocs[(drug_name, mut_key)] = "\t".join([db_all, db_hc, db_neigh_hc, db_gene_all, db_gene_high, broad_gene_q])
+    
+    return mut_assocs
+
+def saveAssociations(params):
+
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+
+    dataset = parameters["D"]
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    ranks_dir = parameters["RESULTS_RANKS_DIR"]
+    cmp_dir = parameters["RESULTS_CMP_DIR"]
+    cmp_assocs_dir = parameters["RESULTS_CMP_ASSOCS_DIR"]
+
+    score, gold_assocs, mutations_map, drug_names_map = params
+    
+    statistics = {}
+    associations = {}
+
+    revord = revOrder(score)
+                     
+    for drug_res_profile in drug_res_profiles:
+        dr_profile = drug_res_profile.full_profile
+        drug_name = drug_res_profile.drug_name
+
+        bin_profiles_res_rel = bin_profile_details
+
+        input_fn = scores_dir + "/" + drug_name  + "/" + score + ".txt"
+        if not os.path.exists(input_fn) or os.path.getsize(input_fn) < 10:
+            print("NOT EXIST: ", input_fn)
+            output_fn = cmp_assocs_dir + "/" + score + ".txt"
+            if os.path.exists(output_fn):
+                os.remove(output_fn)
+            return score
+        else:
+            input_fh = open(input_fn)
+            bin_scores_map = readScoresMap(input_fh)
+            input_fh.close()
+            
+
+        mut_scores = readScoreMutations(bin_profiles_res_rel, bin_scores_map)
+        drug_name_id = drug_names_map[drug_name]
+        for (mutkey, bin_profile_id) in mut_scores:
+            mutkey_id = mutations_map[mutkey]
+            bin_profile = bin_profiles[bin_profile_id]
+
+            associations[(drug_name_id, mutkey_id)] = mut_scores[(mutkey, bin_profile_id)]
+
+            s0, s1, i0, i1, r0, r1 = compareProfiles(bin_profile, dr_profile)  
+            statistics[(drug_name_id, mutkey_id)] = "\t".join(map(str, [s0,s1,i0,i1,r0,r1]))
+
+    associations_sorted = sorted(associations, key=lambda assoc_key: revord*associations[assoc_key])
+            
+    output_fn = cmp_assocs_dir + "/" + score + ".txt"    
+    output_fh = open(output_fn, "w")
+    for (drug_name_id, mutkey_id) in associations_sorted:
+        score_val = associations[(drug_name_id, mutkey_id)]
+        stats_tmp = statistics[(drug_name_id, mutkey_id)]
+        gold_assoc = gold_assocs[(drug_name_id, mutkey_id)]
+
+        tl = "\t".join(map(str, [drug_name_id, mutkey_id, gold_assoc, score_val, stats_tmp]))
+        output_fh.write(tl + "\n")
+    output_fh.close()
+    return score
+
+if __name__ == '__main__':
+    print("cmp0_save_associations.py: saves association lists.")
+
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    dataset = parameters["D"]
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    gold_dir = parameters["DATASET_GOLD_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    ranks_dir = parameters["RESULTS_RANKS_DIR"]
+    cmp_dir = parameters["RESULTS_CMP_DIR"]
+    cmp_assocs_dir = parameters["RESULTS_CMP_ASSOCS_DIR"]
+
+    ensure_dir(cmp_dir)
+    ensure_dir(cmp_assocs_dir)
+
+    
+    WORKERS = min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    scores_p = parameters["SCORES"].split(",")
+
+    input_fh = open(input_dir + "/strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+
+    m_type = parameters["MT"]
+    
+    input_fh = open(results_dir + "/res_profiles.txt")
+    drug_res_profiles = readResistanceProfiles(input_fh, load_int=True)
+    input_fh.close()
+    
+    input_fh = open(results_dir + "/res_profiles.txt")
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+
+    input_fh = open(results_dir + 'bin_profiles_' + m_type + '_det.txt')
+    bin_profile_details = readBinProfileDetails(input_fh, strains.count(), mut_type=m_type, out_format="tuple")
+    input_fh.close()
+
+    input_fh = open(results_dir + 'bin_profiles_' + m_type + '.txt')
+    bin_profiles = readBinProfiles(input_fh, strains.count(), gen_bin_profiles=True)
+    input_fh.close()
+    
+    input_fn = input_dir + "/cluster_gene_ref_ids.txt"
+    if os.path.exists(input_fn):
+        cluster_fh = open(input_dir + "/cluster_gene_ref_ids.txt")
+        cluster_ids, cluster_ids_rev = readClusterGeneIDs(cluster_fh, gene_ref_ids=True)
+        cluster_fh.close()
+    else:
+        cluster_ids = {} 
+        cluster_ids_rev = {}
+
+    input_fn = gold_dir + "/gold_assocs_H.txt"
+    if not os.path.exists(input_fn):
+        print("File does not exist:" + input_fn)
+        drug_res_conf_db = {}
+    else:
+        input_fh = open(input_fn)
+        drug_res_conf_db = readGoldAssociations(input_fh, cluster_ids_rev, drug_names=drug_names)
+        input_fh.close()
+    
+    input_fn = gold_dir + "/gold_assocs_A.txt"
+    if not os.path.exists(input_fn):
+        print("File does not exist:" + input_fn)
+        drug_res_all_db = {}
+    else:
+        input_fh = open(input_fn)
+        drug_res_all_db = readGoldAssociations(input_fh, cluster_ids_rev, drug_names=drug_names)
+        input_fh.close()
+
+    input_fn = gold_dir + "/broad_genes.txt"
+    if not os.path.exists(input_fn):
+        broad_genes = set([])
+    input_fh = open(input_fn)
+    broad_genes = readGeneSet(input_fh)
+    input_fh.close()
+
+    score_params_union = set([])    
+    drug_names_map = {}
+    drug_name_id = 0
+    for drug_res_profile in drug_res_profiles:
+        drug_name = drug_res_profile.drug_name
+
+        for score_fn in os.listdir(scores_dir + "/" + drug_name):
+            input_fn = scores_dir + "/" + drug_name  + "/" + score_fn
+            if os.path.exists(input_fn): 
+                score_tmp = score_fn[:-4]
+                if score_tmp in scores_p:
+                    score_params_union.add(score_tmp)
+                if not drug_name in drug_names_map:
+                    drug_names_map[drug_name] = drug_name_id
+                    drug_name_id += 1
+
+    print(','.join(drug_names_map.keys()))
+    printGoldShort(drug_res_all_db, "all")
+    printGoldShort(drug_res_conf_db, "hc")
+
+    mutations_map = mutationsIDmap(bin_profile_details)
+
+    output_fn = cmp_dir + "/mutations_map.txt"
+    output_fh = open(output_fn, "w")
+    for mutkey in mutations_map:
+        mutkey_id = mutations_map[mutkey]
+        output_fh.write(str(mutkey_id) + "\t" + str(mutkey) + "\n")
+    output_fh.close()
+
+    output_fn = cmp_dir + "/drug_names_map.txt"    
+    output_fh = open(output_fn, "w")
+    for drug_name in drug_names_map:
+        drug_name_id = drug_names_map[drug_name]
+        output_fh.write(str(drug_name_id) + "\t" + str(drug_name) + "\n")
+    output_fh.close()
+
+    gold_assocs = {}
+
+    for drug_res_profile in drug_res_profiles:
+        dr_profile = drug_res_profile.full_profile
+        drug_name = drug_res_profile.drug_name
+        gold_assoscs_tmp = goldAssociations(bin_profile_details,drug_name)
+        for (drug_name, mutkey) in gold_assoscs_tmp:
+            drug_name_id = drug_names_map[drug_name]
+            mutkey_id = mutations_map[mutkey]
+            gold_assocs[(drug_name_id, mutkey_id)] = gold_assoscs_tmp[(drug_name, mutkey)]
+
+    TASKS = []
+    for score in list(score_params_union):
+        if os.path.exists(cmp_assocs_dir + "/" + score + ".txt") and parameters.get("OW")=="N":
+            continue
+        TASKS.append((score, gold_assocs, mutations_map, drug_names_map))
+
+    WORKERS = min(WORKERS, len(TASKS))
+
+    progress = GWAMARProgress("Associations")
+    progress.setJobsCount(len(TASKS))
+    if WORKERS > 1:
+        pool = Pool(processes=WORKERS)
+        for r in pool.imap(saveAssociations, TASKS):
+            progress.update(str(r))
+    else:
+        for T in TASKS:
+            r = saveAssociations(T)
+            progress.update(str(r))
+
+    print("cmp0_save_associations.py: Finished.")
diff --git a/src/drsoft/comparison/cmp1_prec-recall_stats.py b/src/drsoft/comparison/cmp1_prec-recall_stats.py
new file mode 100644
index 0000000..539dc67
--- /dev/null
+++ b/src/drsoft/comparison/cmp1_prec-recall_stats.py
@@ -0,0 +1,321 @@
+import sys
+import os
+import time
+import math
+import shutil
+import random
+import multiprocessing
+from multiprocessing import Pool
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_progress_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_scoring import revOrder
+
+def selectAssocs(input_fn, subset="a1"):
+    positives = []
+    negatives = []
+    all_negatives = []
+
+    subset_tokens = subset[1:].split("_")
+    subset_type = subset_tokens[0]
+    if len(subset_tokens) >= 2:
+        neg_frac = float(subset_tokens[1])
+    else:
+        neg_frac = 1.0
+
+    if not os.path.exists(input_fn):
+        return None, None
+
+    input_fh = open(input_fn)
+    lines = input_fh.readlines()
+    input_fh.close()
+
+    k = len(lines)
+    for i in range(k):
+        tokens = lines[i].split()
+        if len(tokens) < 4: continue
+        drug_name_id, mutkey_id, all_db, hc_db, hc_neigh_db, gene_all_db, gene_hc_db, gene_broad = tokens[:8]
+        val = float(tokens[8])
+        s0, s1, i0, i1, r0, r1 = map(int, tokens[9:])
+
+        recordY = ("Y", val, i)
+        recordN = ("N", val, i)
+
+        if subset_type == "0":
+            if all_db == "Y": positives.append(recordY)
+            else: negatives.append(recordN)
+
+        elif subset_type == "1":
+            if hc_db == "Y":  positives.append(recordY)
+            else: negatives.append(recordN)
+
+        elif subset_type == "2":
+            if all_db == "Y": positives.append(recordY)
+            if gene_all_db == "N" and all_db == "N": negatives.append(recordN)
+
+        elif subset_type == "3":
+            if hc_db == "Y": positives.append(recordY)
+            if gene_hc_db == "N" and hc_db == "N": negatives.append(recordN)
+
+        elif subset_type == "4":
+            if all_db == "Y" and r1>0: positives.append(recordY)
+            if gene_all_db == "N" and all_db == "N": negatives.append(recordN)
+            if subset.startswith("p") and all_db == "N": all_negatives.append(recordN)
+
+        elif subset_type == "5":
+            if hc_db == "Y"  and r1>0: positives.append(recordY)
+            if gene_hc_db == "N" and hc_db == "N": negatives.append(recordN)
+            if subset.startswith("p") and hc_db == "N": all_negatives.append(recordN)
+
+        elif subset_type == "6":
+            if gene_all_db == "Y" and r1>0: positives.append(recordY)
+            if gene_all_db == "N" and all_db == "N": negatives.append(recordN)
+
+        elif subset_type == "7":
+            if gene_hc_db == "Y" and r1>0: positives.append(recordY)
+            if gene_hc_db == "N" and hc_db == "N": negatives.append(recordN)
+            
+        elif subset_type == "8":
+            if gene_all_db == "Y": positives.append(recordY)
+            if gene_all_db == "N" and all_db == "N": negatives.append(recordN)
+
+        elif subset_type == "9":
+            if gene_hc_db == "Y": positives.append(recordY)
+            if gene_hc_db == "N" and hc_db == "N": negatives.append(recordN)
+
+        elif subset_type == "10":
+            if gene_all_db == "Y" and all_db == "Y": positives.append(recordY)
+            if gene_all_db == "Y" and all_db == "N": negatives.append(recordN)
+            if subset.startswith("p") and all_db == "N": all_negatives.append(recordN)
+
+        elif subset_type == "11":
+            if gene_hc_db == "Y" and hc_db == "Y": positives.append(recordY)
+            if gene_hc_db == "Y" and hc_db == "N": negatives.append(recordN)
+            if subset.startswith("p") and hc_db == "N": 
+                all_negatives.append(recordN)
+
+        elif subset_type == "12":
+            if gene_broad == "Y" and all_db == "Y": positives.append(recordY)
+            if gene_broad == "Y" and gene_all_db == "N" and all_db == "N": negatives.append(recordN)
+            if subset.startswith("p") and all_db == "N": all_negatives.append(recordN)
+
+        elif subset_type == "13":
+            if gene_broad == "Y" and hc_db == "Y": positives.append(recordY)
+            if gene_broad == "Y" and gene_hc_db == "N" and hc_db == "N": negatives.append(recordN)
+            if subset.startswith("p") and hc_db == "N": all_negatives.append(recordN)
+
+        elif subset_type == "14":
+            if gene_broad == "Y" and all_db == "Y": positives.append(recordY)
+            if gene_broad == "Y" and gene_all_db == "Y" and all_db == "N": negatives.append(recordN)
+            if subset.startswith("p") and all_db == "N": all_negatives.append(recordN)
+
+        elif subset_type == "15":
+            if gene_broad == "Y" and hc_db == "Y": positives.append(recordY)
+            if gene_broad == "Y" and gene_hc_db == "Y" and hc_db == "N": negatives.append(recordN)
+            if subset.startswith("p") and hc_db == "N": all_negatives.append(recordN)
+
+        elif subset_type == "16":
+            if gene_broad == "Y" and all_db == "Y" and r1>0: positives.append(recordY)
+            if gene_broad == "Y" and all_db == "N" and r1>0: negatives.append(recordN)
+            if subset.startswith("p") and all_db == "N" and r1>0: all_negatives.append(recordN)
+
+        elif subset_type == "17":
+            if gene_broad == "Y" and hc_db == "Y" and r1>0: positives.append(recordY)
+            if gene_broad == "Y" and hc_db == "N" and r1>0: negatives.append(recordN)
+            if subset.startswith("p") and hc_db == "N" and r1>0: all_negatives.append(recordN)
+
+        elif subset_type == "18":
+            if gene_broad == "Y" and all_db == "Y" and r1>0: positives.append(recordY)
+            if gene_broad == "Y" and gene_all_db == "Y" and all_db == "N" and r1>0: negatives.append(recordN)
+            if subset.startswith("p") and all_db == "N" and r1>0: all_negatives.append(recordN)
+
+        elif subset_type == "19":
+            if gene_broad == "Y" and hc_db == "Y" and r1>0: positives.append(recordY)
+            if gene_broad == "Y" and gene_hc_db == "Y" and hc_db == "N" and r1>0: negatives.append(recordN)
+            if subset.startswith("p") and hc_db == "N" and r1>0: all_negatives.append(recordN)
+
+    if subset.startswith("a"):
+        negatives_sel = negatives
+    elif subset.startswith("p"):
+        negatives_count = len(negatives)
+        negatives_sel = random.sample(all_negatives, negatives_count)
+    elif subset.startswith("s"):
+        if neg_frac > 1.0:
+            negatives_count = min(len(negatives), int(neg_frac))
+        elif neg_frac <= 1.0:
+            negatives_count = min(len(negatives), len(negatives)*neg_frac)
+
+        negatives_sel = random.sample(negatives, negatives_count)
+    elif subset.startswith("e"):
+        negatives_count = min(len(negatives), len(positives))
+        negatives_sel = random.sample(negatives, negatives_count)
+    else:
+        print("Provide correct name of the sampling of negatives")
+        sys.exit()
+
+    return positives, negatives_sel
+
+def calcStats(score, input_dir, revord=1, positives=None, negatives=None, thrs=None):
+
+    if thrs == None:
+        thrs = set([])
+        for (db, val, i) in positives + negatives:
+            thrs.add(val)
+
+    n = len(negatives)
+    p = len(positives)
+
+    res_list = sorted(negatives + positives, key=lambda db_val_i:(-1*revord*db_val_i[1], db_val_i[2]))
+    thrs_sorted = sorted(thrs, key=lambda val:-1*revord*val)
+
+    tpc, fpc, tnc, fnc = 0,0,n,p
+    auc = 0.0
+
+    i = 0
+    sc_val = res_list[i][1]
+
+    stats_map = {}
+    prec_prev = 1.0
+    recall_prev = 0.0
+
+    for thr_val in thrs_sorted:
+        while i < n+p and ((sc_val >= thr_val and revord == 1) or (sc_val <= thr_val and revord == -1)):
+            db, sc_val = res_list[i][:2]
+            if db == "Y":
+                tpc += 1; fnc -= 1
+            else:
+                fpc += 1; tnc -= 1  
+            i += 1
+        if i > 0:
+            prec, recall = float(tpc) / i, float(tpc) / p
+            auc += 0.5*(recall - recall_prev)*(prec + prec_prev)
+
+            stats_map[thr_val] = (prec, recall, auc)
+            prec_prev = prec
+            recall_prev = recall
+
+    return stats_map
+
+def computePRs(params):
+    score, subset, reps_tmp = params
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    cmp_dir = parameters["RESULTS_CMP_DIR"]
+    cmp_stats_dir = parameters["RESULTS_CMP_STATS_DIR"]
+    cmp_assocs_dir = parameters["RESULTS_CMP_ASSOCS_DIR"]
+    
+    dataset = parameters["D"]
+    overwrite = parameters.get("OW", "N")
+
+    if subset.startswith("a"): reps = [0]
+    else: reps = reps_tmp
+
+    rev_order = revOrder(score)
+
+    stats_subset_dir = cmp_stats_dir + "/" + subset
+    stats_subset_pr_dir = stats_subset_dir + "/pr/"
+    stats_score_dir = stats_subset_pr_dir + "/" + score
+    ensure_dir(stats_score_dir)
+
+    for i in reps:
+        output_fn = stats_score_dir + "/" + str(i) + ".txt"
+        if os.path.exists(output_fn) and overwrite == "N":
+            continue
+
+        pos_sel, neg_sel = selectAssocs(cmp_assocs_dir + score  + ".txt", subset)
+
+        stats_map = calcStats(score, cmp_assocs_dir, revord=-1*rev_order, positives=pos_sel, negatives=neg_sel)
+        thrs_sorted = sorted(stats_map, key=lambda thr:rev_order*thr)
+
+        tls = []
+        for thr in thrs_sorted:
+            (prec, recall, auc) = stats_map[thr]
+            tl = "\t".join(map(str, [thr, prec, recall, auc]))
+            tls.append(tl + "\n")
+
+        output_fh = open(output_fn, "w")
+        for tl in tls:
+            output_fh.write(tl)
+        output_fh.close()
+
+    return score,subset, str(min(reps)) +"-"+str(max(reps))
+
+
+if __name__ == '__main__':
+    print("cmp1_prec-recall_stats.py: Start.")
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    cmp_dir = parameters["RESULTS_CMP_DIR"]
+    cmp_stats_dir = parameters["RESULTS_CMP_STATS_DIR"]
+    cmp_assocs_dir = parameters["RESULTS_CMP_ASSOCS_DIR"]
+    
+    ensure_dir(cmp_stats_dir)
+
+    dataset = parameters["D"]
+
+    reps_tmp = int(parameters.get("RAND", "1"))
+    overwrite = parameters.get("OW", "N")
+    scores_cmp = parameters.get("SCORES", "ws,or,mi,lh,r-tgh").split(",")
+
+    score_fns = os.listdir(cmp_assocs_dir)
+    scores_list = []
+    for score in scores_cmp:
+        score_fn = score + ".txt"
+        if score_fn in score_fns:
+            scores_list.append(score)
+
+    subsets = parameters.get("SUBSETS", "s3_1000").split(",")
+    
+    for subset in subsets:
+        stats_subset_dir = cmp_stats_dir + "/" + subset
+        stats_subset_pr_dir = stats_subset_dir + "/pr/"
+
+        ensure_dir(stats_subset_dir)
+        ensure_dir(stats_subset_pr_dir)
+
+        score = scores_list[0]
+        pos_sel, neg_sel = selectAssocs(cmp_assocs_dir + score  + ".txt", subset)
+
+        output_fh = open(stats_subset_dir + "/stats_pn.txt", "w")
+        output_fh.write("ps\tns\n")
+        output_fh.write(str(len(pos_sel)) + "\t" + str(len(neg_sel)) + "\n")
+        #output_fh.write(str(len(pos_sel)) + "\t" + str(len(neg_sel)) + "\n")
+        output_fh.close()
+
+    WORKERS = min(int(parameters["W"]), multiprocessing.cpu_count())
+    tn = len(scores_list)*len(subsets)
+
+    if reps_tmp > 1:
+        k = max(int(WORKERS), 1)
+    else:
+        k = 1
+    seed = max(int(reps_tmp / k), 0)+1
+    
+    TASKS = []
+    for score in scores_list:
+        for subset in subsets:
+            for i in range(k):
+                reps = list(range(i*seed, min(reps_tmp, (i+1)*seed), 1))
+                if len(reps) > 0:
+                    TASKS.append((score, subset, reps))
+
+    progress = GWAMARProgress("Prec-recall stats")
+    progress.setJobsCount(len(TASKS))
+    WORKERS = min(WORKERS, len(TASKS))
+
+    if WORKERS > 1:
+        pool = Pool(processes=WORKERS)
+        for r in pool.imap(computePRs, TASKS):
+            progress.update(str(r))
+    else:
+        for T in TASKS:
+            r = computePRs(T)
+            progress.update(str(r))
+
+    print("cmp1_prec-recall_stats.py: Finished.")
diff --git a/src/drsoft/comparison/cmp2_auc_stats.py b/src/drsoft/comparison/cmp2_auc_stats.py
new file mode 100644
index 0000000..099743e
--- /dev/null
+++ b/src/drsoft/comparison/cmp2_auc_stats.py
@@ -0,0 +1,96 @@
+import sys
+import os
+import time
+import math
+import shutil
+import random
+import multiprocessing
+from multiprocessing import Pool
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+
+if __name__ == '__main__':
+    print("cmp2_auc_stats.py: Start.")
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    dataset = parameters["D"]
+    reps_tmp = int(parameters.get("RAND", "1"))
+
+    cmp_dir = parameters["RESULTS_CMP_DIR"]
+    cmp_stats_dir = parameters["RESULTS_CMP_STATS_DIR"]
+    cmp_assocs_dir = parameters["RESULTS_CMP_ASSOCS_DIR"]
+   
+    scores_cmp = parameters.get("SCORES", "ws,or,mi,lh,r-tgh").split(",")
+    stats = parameters.get("STATS", "auc,auc10,auc20").split(",")
+
+    score_fns = os.listdir(cmp_assocs_dir)
+    scores_list = []
+    for score in scores_cmp:
+        score_fn = score + ".txt"
+        if score_fn in score_fns:
+            scores_list.append(score)
+
+    subsets = parameters.get("SUBSETS", "s3_1000").split(",")
+    
+    for subset in subsets:
+        if subset.startswith("a"): reps = 1
+        elif subset.startswith("s"): reps = reps_tmp
+        else: reps = reps_tmp
+
+        stats_pr_dir = cmp_stats_dir + "/" + subset + "/pr/"
+
+        results_map = []
+        for i in range(reps):
+            results_map.append({})
+
+        for score in scores_list:
+            stats_pr_score_dir = stats_pr_dir + "/" + score + "/"
+            auc_v = []
+
+            tls = []
+
+            for i in range(reps):
+                input_fn = stats_pr_score_dir + "/" + str(i) + ".txt"
+                if not os.path.exists(input_fn):
+                    continue
+
+                input_fh = open(input_fn)
+                lines = input_fh.readlines()
+                input_fh.close()
+
+                results_map[i][score] = {}
+                for stat_name in stats:
+                    results_map[i][score][stat_name] = "NA"
+
+                for j in range(len(lines)):
+                    line = lines[j]
+                    score_val, prec, recall, auc_val = map(float, line.split())
+                    if j+1 in [10,20]:
+                        stat_name = "auc" + str(j+1)
+                        results_map[i][score][stat_name] = auc_val
+                    if j+1 == len(lines):
+                        stat_name = "auc"
+                        results_map[i][score][stat_name] = auc_val
+
+
+        for stat in stats:
+            output_fh = open(cmp_stats_dir + "/" + subset + "/"+str(stat)+".txt", "w")
+            output_fh.write("\t".join(scores_list) + "\n")
+            
+            for i in range(len(results_map)):
+                tl = ""
+                for score in scores_list:
+                    if score in results_map[i]:
+                        tl += str(results_map[i][score][stat]) + "\t"
+                    else:
+                        tl += "NA" + "\t"
+                tl = tl.strip() + "\n"
+                output_fh.write(tl)
+            output_fh.close()
+
+    print("cmp2_auc_stats.py: Finished.")
diff --git a/src/drsoft/comparison/cmp3_draw_figures.py b/src/drsoft/comparison/cmp3_draw_figures.py
new file mode 100644
index 0000000..9ef9c29
--- /dev/null
+++ b/src/drsoft/comparison/cmp3_draw_figures.py
@@ -0,0 +1,44 @@
+import sys
+import os
+import time
+import math
+import shutil
+import random
+import multiprocessing
+from multiprocessing import Pool
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+
+
+if __name__ == '__main__':
+    print("cmp3_draw_figures.py: Start.")
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    dataset = parameters["D"]
+    cmp_dir = parameters["RESULTS_CMP_DIR"]
+    cmp_assocs_dir = parameters["RESULTS_CMP_ASSOCS_DIR"]
+    Rscript_dir = parameters["GWAMAR_SRC"] + "visR/accuracy/"
+
+    scores_p = parameters["SCORES"].split(",")
+
+    scores_list = []
+    for score in scores_p:
+        score_fn = score + ".txt"
+        scores_list.append(score)
+    scores_arg = ','.join(scores_list)
+
+    subsets = parameters.get("SUBSETS", "s3_1000")
+    stats = parameters.get("STATS", "auc,auc10,auc20")
+
+    rparams1 = " ".join([dataset, parameters["MT"], subsets, parameters["GWAMAR_PATH"], scores_arg, stats])
+    print(rparams1)
+    command = "Rscript " + Rscript_dir + "/auc_barplots.R " + rparams1
+    print(command)
+    os.system(command)
+    print("cmp3_draw_figures.py: Finished.")
+   
\ No newline at end of file
diff --git a/src/drsoft/comparison/show0_gold_associations.py b/src/drsoft/comparison/show0_gold_associations.py
new file mode 100644
index 0000000..7a1b72f
--- /dev/null
+++ b/src/drsoft/comparison/show0_gold_associations.py
@@ -0,0 +1,160 @@
+import sys
+import os
+import shutil
+import multiprocessing
+from multiprocessing import Pool
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_ann_utils import readClusterGeneIDs
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_res_utils import compareProfiles
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_muts_io_utils import *
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+
+def printLatexGold(drug_res_all_db, drug_res_conf_db, gene_ids_map={}):
+    tls = []
+    drug_names = sorted(set(drug_res_all_db.keys()) | set(drug_res_conf_db.keys()))
+    for i in range(len(drug_names)):
+        drug_name = drug_names[i]
+        gene_ids = sorted(set(drug_res_all_db.get(drug_name, [])) | set(drug_res_conf_db.get(drug_name, [])))
+        tl = drug_name
+        for gene_id in gene_ids:
+            gene_name = gene_ids_map.get(gene_id, ("",""))[0]
+            if len(gene_name) <= 1:
+                gene_name = ""
+            
+            tl += " & " + gene_id
+            tl += " & " + gene_name
+
+            hc_sorted = sorted(drug_res_conf_db.get(drug_name,[]).get(gene_id, []))
+            if len(hc_sorted) < 7:
+                tl += " & " + ",".join(map(str, hc_sorted)) 
+            else:
+                tl += " & " + ",".join(map(str, hc_sorted[:3])) + "... (" + str(len(hc_sorted)) +" in total)"
+            
+            all_sorted = sorted(drug_res_all_db.get(drug_name,[]).get(gene_id, []))
+            if len(all_sorted) < 7:
+                tl += " & " + ",".join(map(str, all_sorted))
+            else:
+                tl += " & " + ",".join(map(str, all_sorted[:3])) + "... (" + str(len(all_sorted)) +" in total)"
+
+            tl += "\\\\ \n"
+        tls.append("\\midrule\n")
+        tls.append(tl)
+    print("".join(tls))
+    return None
+
+def printGoldShort(gold_assocs, comment=""):
+    total = 0
+    for drug_name in gold_assocs:
+        tmp = gold_assocs[drug_name].keys()
+        tl = comment+" " +drug_name +" "
+        for gene_id in tmp:
+            count = len(gold_assocs[drug_name][gene_id])
+            total += count
+            tl += gene_id +"("+str(count)+"),"
+
+        print(tl.strip(","))
+    print(comment +" total: " + str(total))
+
+
+if __name__ == '__main__':
+    print("show0_save_associations.py: shows gold association lists.")
+
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    dataset = parameters["D"]
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    gold_dir = parameters["DATASET_GOLD_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    ranks_dir = parameters["RESULTS_RANKS_DIR"]
+    cmp_dir = parameters["RESULTS_CMP_DIR"]
+    cmp_assocs_dir = parameters["RESULTS_CMP_ASSOCS_DIR"]
+
+    WORKERS = min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    scores_p = parameters["SCORES"].split(",")
+    
+    input_fh = open(input_dir + "/strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+
+    m_type = parameters["MT"]
+    
+    input_fh = open(results_dir + "/res_profiles.txt")
+    drug_res_profiles = readResistanceProfiles(input_fh, load_int=True)
+    input_fh.close()
+
+    input_fh = open(results_dir + "/res_profiles.txt")
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    
+    input_fh = open(results_dir + 'bin_profiles_' + m_type + '_det.txt')
+    bin_profile_details = readBinProfileDetails(input_fh, strains.count(), mut_type=m_type, out_format="tuple")
+    input_fh.close()
+
+    input_fh = open(results_dir + 'bin_profiles_' + m_type + '.txt')
+    bin_profiles = readBinProfiles(input_fh, strains.count(), gen_bin_profiles=True)
+    input_fh.close()
+    
+    input_fn = input_dir + "/cluster_gene_ref_ids.txt"
+    if os.path.exists(input_fn):
+        cluster_fh = open(input_dir + "/cluster_gene_ref_ids.txt")
+        cluster_ids, cluster_ids_rev = readClusterGeneIDs(cluster_fh, gene_ref_ids=True)
+        cluster_fh.close()
+    else:
+        cluster_ids = {} 
+        cluster_ids_rev = {}
+
+   # print(cluster_ids["Rv0005"])
+   # print(cluster_ids_rev["Rv0005"])
+    input_fn = gold_dir + "/gold_assocs_H.txt"
+    if not os.path.exists(input_fn):
+        print("File does not exist:" + input_fn)
+        drug_res_conf_db = {}
+    else:
+        input_fh = open(input_fn)
+        drug_res_conf_db = readGoldAssociations(input_fh, cluster_ids_rev, drug_names=drug_names)
+        input_fh.close()
+    
+    input_fn = gold_dir + "/gold_assocs_A.txt"
+    if not os.path.exists(input_fn):
+        print("File does not exist:" + input_fn)
+        drug_res_all_db = {}
+    else:
+        input_fh = open(input_fn)
+        drug_res_all_db = readGoldAssociations(input_fh, cluster_ids_rev, drug_names=drug_names)
+        input_fh.close()
+
+    score_params_union = set([])    
+    drug_names_map = {}
+    drug_name_id = 0
+    for drug_res_profile in drug_res_profiles:
+        drug_name = drug_res_profile.drug_name
+
+        for score_fn in os.listdir(scores_dir + "/" + drug_name):
+            input_fn = scores_dir + "/" + drug_name  + "/" + score_fn
+            if os.path.exists(input_fn): 
+                score_tmp = score_fn[:-4]
+                if score_tmp in scores_p:
+                    score_params_union.add(score_tmp)
+                if not drug_name in drug_names_map:
+                    drug_names_map[drug_name] = drug_name_id
+                    drug_name_id += 1
+
+    print(','.join(drug_names_map.keys()))
+    printGoldShort(drug_res_all_db, "all")
+    printGoldShort(drug_res_conf_db, "hc")
+
+    printLatexGold(drug_res_all_db, drug_res_conf_db, cluster_ids)
+    
+    print("show0_save_associations.py: Finished.")
diff --git a/src/drsoft/compensatory/show0_save_putative_muts.py b/src/drsoft/compensatory/show0_save_putative_muts.py
new file mode 100644
index 0000000..ee83d4b
--- /dev/null
+++ b/src/drsoft/compensatory/show0_save_putative_muts.py
@@ -0,0 +1,100 @@
+import sys
+import os
+import copy
+import multiprocessing
+from multiprocessing import Pool
+
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_ann_utils import readClusterGeneIDs
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_res_utils import compareProfiles
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_comp_utils import *
+
+def retrieveCompMutations(drug_name):
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = 1#min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_SEL_DIR"]
+    analysis_comp_dir = parameters["RESULTS_A_COMP_S_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    comp_dir = parameters["COMP_DATA"]
+
+    print(analysis_comb_dir + drug_name + ".txt")
+    input_fn = analysis_comb_dir + drug_name + ".txt"
+    input_fh = open(input_fn)
+    gene_muts, rdr_muts, dr_profile = selectPutativeComp(input_fh, only_comp = False)
+    input_fh.close()
+
+#    print(gene_muts.keys())
+ #   print("xxx", len(rdr_muts))
+    rdr_sets = [getBinSet(rdr_mut_profile) for (rdr_mut_desc, rdr_mut_profile) in rdr_muts]
+
+  #  print("xxx", len(rdr_sets))
+    tls = []
+
+    tls.append("%" + parameters["D"] +"\n")
+    for gene_name in sorted(gene_muts):
+        #print(gene_name)
+        #print(gene_name, len(gene_muts[gene_name]), len(rdr_muts))
+        tls.append(">" + gene_name + "\n")
+        # for entry in gene_muts[gene_name]:
+        #     print(entry[0].split())
+        for mut_dets in sorted(gene_muts[gene_name], key=lambda entry:int(entry[0].split()[3])):
+            (mut_desc, bin_profile) = mut_dets
+
+            mut_out = "\t".join(mut_desc.split()[3:])
+            #print(mut_out)
+            tls.append(mut_out + "\n")
+
+    ensure_dir(comp_dir + "/" + drug_name)
+    output_fn = comp_dir + "/" + drug_name + "/" + parameters["D"] + ".txt"
+
+#    print(output_fn)
+    output_fh = open(output_fn, "w")
+    for tl in tls:
+        output_fh.write(tl)
+    output_fh.close()
+
+#507 - 533
+#(533-507+1)*3
+#450 - 531
+#zatem: 426 - 452 
+
+if __name__ == '__main__':
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = 1#min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_SEL_DIR"]
+    analysis_comp_dir = parameters["RESULTS_A_COMP_S_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    comp_dir = parameters["COMP_DATA"]
+
+    ensure_dir(comp_dir)
+    print(comp_dir)
+    
+    input_fn = results_dir + "/res_profiles.txt"
+    input_fh = open(input_fn)
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+
+    drug_names = ["Rifampicin"]
+    
+    for drug_name in drug_names:
+        retrieveCompMutations(drug_name)
diff --git a/src/drsoft/compensatory/show1_latex_rpoB_figure.py b/src/drsoft/compensatory/show1_latex_rpoB_figure.py
new file mode 100644
index 0000000..bf963af
--- /dev/null
+++ b/src/drsoft/compensatory/show1_latex_rpoB_figure.py
@@ -0,0 +1,193 @@
+import os
+import sys
+import filecmp
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.structs.resistance_profile import ResistanceProfile
+from drsoft.utils.gwamar_utils import ensure_dir
+
+def readCompMutations(input_fh):
+    comp_mutations = {}
+    source = ""
+    gene_name = ""
+
+    lines = input_fh.readlines()
+    for line in lines:
+        line = line.strip()
+        line = line.split("#")[0].strip()
+        if len(line) == 0:
+            continue
+        if line.startswith("%"):
+            source = line[1:]
+            comp_mutations[source] = {}
+        elif line.startswith(">"):
+            gene_name = line[1:].split()[0]
+            comp_mutations[source][gene_name] = {}
+        else:
+            tokens = line.split()
+            if len(tokens) < 3:
+                continue
+            position = int(tokens[0].split("|")[0])
+            ref_state = tokens[1]
+            comp_mutations[source][gene_name][(position, ref_state)] = []
+            mut_state_tokens = tokens[2].split(",")
+            for mut_state_token in mut_state_tokens:
+                mut_tokens = mut_state_token.split(":")
+                mut_state = mut_tokens[0]
+                if len(mut_tokens) <= 1: mut_state_count = 1
+                else: mut_state_count = int(mut_tokens[1])
+                comp_mutations[source][gene_name][(position, ref_state)].append((mut_state, mut_state_count))
+    return comp_mutations
+
+
+gene_shift = {"rpoA":50, "rpoB":300, "rpoC": 550}
+
+gene_length = {"rpoA": 347, "rpoB": 1172, "rpoC": 1314}
+
+source_color = {"comas_whole-genome_2012": "red", "de_vos_putative_2013":"blue", "casali_evolution_2014":"black",
+ "mtu173":"orange", "mtu_broad":"violet", "brandis_fitness-compensatory_2012": "pink",
+ "brandis_genetic_2013": "purple"}
+source_shifts = {"comas_whole-genome_2012": 0, "de_vos_putative_2013": 10, "casali_evolution_2014": 20,
+        "mtu173":30, "mtu_broad":40, "brandis_fitness-compensatory_2012":50, "brandis_genetic_2013":60
+        }
+
+x_offset = 5
+
+if __name__ == '__main__':
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    stats_dir = parameters["STATS_DIR"]
+    latex_dir = parameters["LATEX_DIR"]
+    comp_dir = parameters["COMP_DATA"]
+
+    ensure_dir(stats_dir)
+    ensure_dir(latex_dir)
+
+    input_fh = open(input_dir + "/strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+    
+    input_fh = open(results_dir + "/res_profiles.txt")
+    res_profiles_list = readResistanceProfiles(input_fh, load_int=True)
+    input_fh.close()
+
+    input_fh = open(comp_dir + "/comp_data.txt")
+    comp_mutations = readCompMutations(input_fh)
+    input_fh.close()
+
+    res_profiles_sorted = sorted(res_profiles_list, key=lambda drp: -len(drp.getKnown()))
+
+    tls = []
+    tls.append("\\documentclass[10pt]{article}\n")
+    tls.append("\\usepackage{tikz}\n")
+    #tls.append("\\tikzset{user/.style={font=\\bfseries}}\n");
+    #tls.append("\\usepackage[landscape]{geometry}\n")
+    tls.append("\\usepackage[margin=0.2in, paperwidth=9.8in, paperheight=4.6in]{geometry}\n")
+ #   tls.append("\\geometry{a4paper,left=2mm,right=2mm}\n")
+    tls.append("\\begin{document}\n")
+    tls.append("\\noindent\n")
+
+    tls.append("\\begin{tikzpicture}[x=0.5pt,y=0.5pt,every node/.style={inner sep=0,outer sep=0}]\n")
+
+    for gene_name in ["rpoA", "rpoB", "rpoC"]:
+        gene_len = gene_length[gene_name]
+        tls.append("\\draw [color=black] ("+str(x_offset)+","+str(gene_shift[gene_name])+") -- ("+str(x_offset + gene_len)+","+str(gene_shift[gene_name])+");\n")
+        tls.append("\\node [right,font={\\bf\\Large}] at (" + str(0) + "," + str(gene_shift[gene_name]-50) + ") {" + gene_name + "};\n")
+
+
+        #podzialka
+        for p in range(0, gene_len+99, 100):
+            px = min(p, gene_len)
+            x1 = x_offset + px
+            y1 = gene_shift[gene_name]
+            x2 = x_offset + px
+            y2 = gene_shift[gene_name] - 14
+
+            x1h = x_offset + px + 50
+            y1h = gene_shift[gene_name]
+            x2h = x_offset + px + 50
+            y2h = gene_shift[gene_name] - 7
+            if x1h <= x_offset + gene_len +2:
+                tls.append("\\draw [color=black] ("+str(x1h)+","+str(y1h)+") -- ("+str(x2h)+","+str(y2h)+");\n")
+
+
+            tls.append("\\draw [color=black] ("+str(x1)+","+str(y1)+") -- ("+str(x2)+","+str(y2)+");\n")
+            if gene_len - px < 40 and gene_len != px:
+                continue
+#            if px == p:
+            tls.append("\\node [below,font={\\bf\\Large}] at (" + str(px) + "," + str(gene_shift[gene_name]-20) + ") {" + str(px) + "};\n")
+
+    x1 = x_offset + 426
+    x2 = x_offset + 452
+    y1 = gene_shift["rpoB"]
+
+    # tls.append("\put("+str(x1)+","+str(y1)+"){\\color{red}\\vector(1,0){26}}")
+    tls.append("\\draw [color=red, thick] ("+str(x1)+","+str(y1-10)+") -- ("+str(x1)+","+str(y1+10)+");\n")
+    tls.append("\\draw [color=red, thick] ("+str(x2)+","+str(y1-10)+") -- ("+str(x2)+","+str(y1+10)+");\n")
+    tls.append("\\draw [color=red, thick] ("+str(x1)+","+str(y1)+") -- ("+str(x2)+","+str(y1)+");\n")
+    tls.append("\\draw [color=red, thick] ("+str(x1)+","+str(y1-1)+") -- ("+str(x2)+","+str(y1-1)+");\n")
+    tls.append("\\draw [color=red, thick] ("+str(x1)+","+str(y1+1)+") -- ("+str(x2)+","+str(y1+1)+");\n")
+    tls.append("\\node [color=red,below,font={\\bf\\Large},rotate=270] at (" + str(x1+23) + "," + str(y1-60) + ") {RRDR};\n")
+
+    #pionowe kreski z mutacjami
+    for source in comp_mutations:
+        source_shift = source_shifts[source]
+        color = source_color.get(source, "black")
+        for gene_name in comp_mutations[source]:
+            for (position, ref_state) in comp_mutations[source][gene_name]:
+                x1 = x_offset + position
+                y1 = gene_shift[gene_name] + source_shift
+                x2 = x_offset + position
+                y2 = gene_shift[gene_name] + source_shift + 10
+
+                tl = "\\draw [color="+color+",semithick] ("+str(x1)+","+str(y1)+") -- ("+str(x2)+","+str(y2)+");\n"
+                tls.append(tl)
+
+                for (ref_state, ref_state_count) in comp_mutations[source][gene_name][(position, ref_state)]:
+                    pass
+
+    #legenda
+    for source in comp_mutations:
+        source_shift = source_shifts[source]
+        color = source_color.get(source, "black")
+
+        x1 = 600
+        y1 = 10 + source_shift*3.0 + 2
+        x2 = 600
+        y2 = 10 + source_shift*3.0 + 12
+
+        for ix in range(-2,3,1):
+            tls.append("\\draw [color="+color+",thick] ("+str(x1+ix)+","+str(y1-5)+") -- ("+str(x2+ix)+","+str(y2+5)+");\n")
+        tls.append("\\node [right,font={\\bf\\Large}] at (" + str(x1+30) + "," + str(y1+6) + ") {" + source.replace("_", " ") + "};\n")
+    
+  # tls.append(tl)
+
+    tls.append("\\end{tikzpicture}\n")
+    tls.append("\\end{document}\n")
+
+    output_fn = comp_dir + "/tmp_comp_rpoB_figure.tex"
+
+    output_fh = open(output_fn, "w")
+    for tl in tls:
+        output_fh.write(tl)
+    output_fh.close()
+
+    os.chdir(comp_dir)
+    command = "pdflatex " + output_fn
+    os.system(command)
+
+    output1_fn = comp_dir + "/tmp_comp_rpoB_figure.pdf"
+    output2_fn = comp_dir + "/comp_rpoB_figure.pdf"
+    command = "pdfcrop --margins '3 3 3 3' " + output1_fn + " "+output2_fn
+    os.system(command)
+
+    command = "acroread " + output2_fn
+    os.system(command)
+
diff --git a/src/drsoft/compensatory/show2_latex_rpoB_table.py b/src/drsoft/compensatory/show2_latex_rpoB_table.py
new file mode 100644
index 0000000..b07e1dc
--- /dev/null
+++ b/src/drsoft/compensatory/show2_latex_rpoB_table.py
@@ -0,0 +1,156 @@
+import os
+import sys
+import filecmp
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.structs.resistance_profile import ResistanceProfile
+from drsoft.utils.gwamar_utils import ensure_dir
+
+def readCompMutations2(input_fh):
+    comp_mutations = {}
+    source = ""
+    gene_name = ""
+    sources = []
+
+    lines = input_fh.readlines()
+    for line in lines:
+        line = line.strip()
+        line = line.split("#")[0].strip()
+        if len(line) == 0:
+            continue
+        if line.startswith("%"):
+            source = line[1:]
+            if not source in sources:
+                sources.append(source)
+        elif line.startswith(">"):
+            gene_name = line[1:].split()[0]
+            if not gene_name in comp_mutations:
+                comp_mutations[gene_name] = {}
+        else:
+            tokens = line.split()
+            if len(tokens) < 3:
+                continue
+            position = int(tokens[0].split("|")[0])
+            ref_state = tokens[1][0]
+            if not (position, ref_state) in comp_mutations[gene_name]:
+                comp_mutations[gene_name][(position, ref_state)] = {}
+            comp_mutations[gene_name][(position, ref_state)][source] = tokens[2]
+    return comp_mutations, sources
+
+
+gene_shift = {"rpoA":50, "rpoB":300, "rpoC": 550}
+
+gene_length = {"rpoA": 347, "rpoB": 1172, "rpoC": 1314}
+
+source_color = {"comas_whole-genome_2012": "red", "de_vos_putative_2013":"blue", "casali_evolution_2014":"black",
+ "mtu173":"orange", "broad_mtb":"violet", "brandis_fitness-compensatory_2012": "pink",
+ "brandis_genetic_2013": "purple"}
+sourse_shifts = {"comas_whole-genome_2012": 0, "de_vos_putative_2013": 10, "casali_evolution_2014": 20,
+        "mtu173":30, "broad_mtb":40, "brandis_fitness-compensatory_2012":50, "brandis_genetic_2013":60
+        }
+
+x_offset = 10
+
+if __name__ == '__main__':
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    stats_dir = parameters["STATS_DIR"]
+    latex_dir = parameters["LATEX_DIR"]
+    comp_dir = parameters["COMP_DATA"]
+
+    ensure_dir(stats_dir)
+    ensure_dir(latex_dir)
+
+    input_fh = open(input_dir + "/strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+    
+    input_fh = open(results_dir + "/res_profiles.txt")
+    res_profiles_list = readResistanceProfiles(input_fh, load_int=True)
+    input_fh.close()
+
+    input_fh = open(comp_dir + "/comp_data.txt")
+    comp_mutations, sources = readCompMutations2(input_fh)
+    input_fh.close()
+
+    res_profiles_sorted = sorted(res_profiles_list, key=lambda drp: -len(drp.getKnown()))
+
+    tls = []
+    tls.append("\\documentclass[10pt]{article}\n")
+    tls.append("\\usepackage{tikz}\n")
+    tls.append("\\usepackage{booktabs}\n")
+    
+    tls.append("\\usepackage[margin=0.2in, paperwidth=8in, paperheight=25in]{geometry}\n")
+    tls.append("\\usepackage{fixltx2e}\n")
+    tls.append("\\usepackage{xcolor}\n")
+    tls.append("\\begin{document}\n")
+
+    tls.append("\\scriptsize\n")
+    tls.append("\\begin{tabular}{ c c c c c c c c }\n")
+    tls.append("\\toprule \n")
+    tl = " gene & position & ref aa "
+    for source in sources:
+        tl += " & " + source.replace("_", " ")
+    tl += " \\\\ \\midrule\n"
+    tls.append(tl)
+
+    for gene_name in ["rpoA", "rpoB", "rpoC"]:
+        for (position, ref_state) in sorted(comp_mutations[gene_name]):
+            rrdr = False
+            color = "black"
+            if gene_name=="rpoB" and position <= 452 and position >= 426:
+                rrdr = True
+                color = "red"
+            count = 0
+            for source in sources:
+                if source in comp_mutations[gene_name][(position, ref_state)]:
+                    count += 1
+          #  if count <= 1:
+          #      continue
+
+            tl = " & ".join([gene_name, str(position), ref_state[0]])
+            for source in sources:
+                if source in comp_mutations[gene_name][(position, ref_state)]:
+                    mut_txt = comp_mutations[gene_name][(position, ref_state)][source]
+                    tl  += " & " + "\\textcolor{"+color+"}{" + mutsDescToLatex(mut_txt) +"}"
+                else:
+                    tl  += " & "
+            tl += "\\\\ \n"
+            #if not rrdr:
+            tls.append(tl)
+        if gene_name != "rpoC":
+            tls.append("\\midrule\n")
+    tls.append("\\bottomrule\n")
+    tls.append("\\end{tabular}\n")
+
+    tls.append("\\end{document}\n")
+
+    output1_fn = comp_dir + "/tmp_comp_rpoB_table.tex"
+
+    output_fh = open(output1_fn, "w")
+    for tl in tls:
+        output_fh.write(tl)
+    output_fh.close()
+
+    os.chdir(comp_dir)
+    command = "pdflatex " + output1_fn
+    print(command)
+    os.system(command)
+
+    output2_fn = comp_dir + "/tmp_comp_rpoB_table.pdf"
+    output3_fn = comp_dir + "/comp_rpoB_table.pdf"
+
+    command = "pdfcrop --margins '5 5 5 5' " + output2_fn + " " + output3_fn
+    os.system(command)
+
+    command = "acroread " + output3_fn
+    os.system(command)
+
diff --git a/src/drsoft/compensatory/show2_latex_rpoB_table_sel.py b/src/drsoft/compensatory/show2_latex_rpoB_table_sel.py
new file mode 100644
index 0000000..418be08
--- /dev/null
+++ b/src/drsoft/compensatory/show2_latex_rpoB_table_sel.py
@@ -0,0 +1,157 @@
+import os
+import sys
+import filecmp
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.structs.resistance_profile import ResistanceProfile
+from drsoft.utils.gwamar_utils import ensure_dir
+
+def readCompMutations2(input_fh):
+    comp_mutations = {}
+    source = ""
+    gene_name = ""
+    sources = []
+
+    lines = input_fh.readlines()
+    for line in lines:
+        line = line.strip()
+        line = line.split("#")[0].strip()
+        if len(line) == 0:
+            continue
+        if line.startswith("%"):
+            source = line[1:]
+            if not source in sources:
+                sources.append(source)
+        elif line.startswith(">"):
+            gene_name = line[1:].split()[0]
+            if not gene_name in comp_mutations:
+                comp_mutations[gene_name] = {}
+        else:
+            tokens = line.split()
+            if len(tokens) < 3:
+                continue
+            position = int(tokens[0].split("|")[0])
+            ref_state = tokens[1][0]
+            if not (position, ref_state) in comp_mutations[gene_name]:
+                comp_mutations[gene_name][(position, ref_state)] = {}
+            comp_mutations[gene_name][(position, ref_state)][source] = tokens[2]
+    return comp_mutations, sources
+
+
+gene_shift = {"rpoA":50, "rpoB":300, "rpoC": 550}
+
+gene_length = {"rpoA": 347, "rpoB": 1172, "rpoC": 1314}
+
+source_color = {"comas_whole-genome_2012": "red", "de_vos_putative_2013":"blue", "casali_evolution_2014":"black",
+ "mtu173":"orange", "broad_mtb":"violet", "brandis_fitness-compensatory_2012": "pink",
+ "brandis_genetic_2013": "purple"}
+sourse_shifts = {"comas_whole-genome_2012": 0, "de_vos_putative_2013": 10, "casali_evolution_2014": 20,
+        "mtu173":30, "broad_mtb":40, "brandis_fitness-compensatory_2012":50, "brandis_genetic_2013":60
+        }
+
+x_offset = 10
+
+if __name__ == '__main__':
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    stats_dir = parameters["STATS_DIR"]
+    latex_dir = parameters["LATEX_DIR"]
+    comp_dir = parameters["COMP_DATA"]
+
+    ensure_dir(stats_dir)
+    ensure_dir(latex_dir)
+
+    input_fh = open(input_dir + "/strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+    
+    input_fh = open(results_dir + "/res_profiles.txt")
+    res_profiles_list = readResistanceProfiles(input_fh, load_int=True)
+    input_fh.close()
+
+    input_fh = open(comp_dir + "/comp_data.txt")
+    comp_mutations, sources = readCompMutations2(input_fh)
+    input_fh.close()
+
+    res_profiles_sorted = sorted(res_profiles_list, key=lambda drp: -len(drp.getKnown()))
+
+    tls = []
+    tls.append("\\documentclass[10pt]{article}\n")
+    tls.append("\\usepackage{tikz}\n")
+    tls.append("\\usepackage{booktabs}\n")
+    
+    tls.append("\\usepackage[margin=0.2in, paperwidth=8in, paperheight=25in]{geometry}\n")
+    tls.append("\\usepackage{fixltx2e}\n")
+    tls.append("\\usepackage{xcolor}\n")
+    tls.append("\\begin{document}\n")
+
+    tls.append("\\scriptsize\n")
+    tls.append("\\begin{tabular}{ c c c c c c c c }\n")
+    tls.append("\\toprule \n")
+    tl = " gene & position & ref aa "
+    for source in sources:
+        tl += " & " + source.replace("_", " ")
+    tl += " \\\\ \\midrule\n"
+    tls.append(tl)
+
+    for gene_name in ["rpoA", "rpoB", "rpoC"]:
+        for (position, ref_state) in sorted(comp_mutations[gene_name]):
+            rrdr = False
+            color = "black"
+            if gene_name=="rpoB" and position <= 452 and position >= 426:
+                rrdr = True
+                color = "red"
+            count = 0
+            for source in sources:
+                if source in comp_mutations[gene_name][(position, ref_state)]:
+                    count += 1
+            if count <= 1:
+                continue
+
+            tl = " & ".join([gene_name, str(position), ref_state[0]])
+            for source in sources:
+                if source in comp_mutations[gene_name][(position, ref_state)]:
+                    mut_txt = comp_mutations[gene_name][(position, ref_state)][source]
+                    tl  += " & " + "\\textcolor{"+color+"}{" + mutsDescToLatex(mut_txt) +"}"
+                else:
+                    tl  += " & "
+            tl += "\\\\ \n"
+
+            #if not rrdr:
+            tls.append(tl)
+        if gene_name != "rpoC":
+            tls.append("\\midrule\n")
+    tls.append("\\bottomrule\n")
+    tls.append("\\end{tabular}\n")
+
+    tls.append("\\end{document}\n")
+
+    output1_fn = comp_dir + "/tmp_comp_rpoB_table2.tex"
+
+    output_fh = open(output1_fn, "w")
+    for tl in tls:
+        output_fh.write(tl)
+    output_fh.close()
+
+    os.chdir(comp_dir)
+    command = "pdflatex " + output1_fn
+    print(command)
+    os.system(command)
+
+    output2_fn = comp_dir + "/tmp_comp_rpoB_table2.pdf"
+    output3_fn = comp_dir + "/comp_rpoB_table2.pdf"
+
+    command = "pdfcrop --margins '5 5 5 5' " + output2_fn + " " + output3_fn
+    os.system(command)
+
+    command = "acroread " + output3_fn
+    os.system(command)
+
diff --git a/src/drsoft/compensatory/show3_latex_rpoB_table2.py b/src/drsoft/compensatory/show3_latex_rpoB_table2.py
new file mode 100644
index 0000000..d2d5bb6
--- /dev/null
+++ b/src/drsoft/compensatory/show3_latex_rpoB_table2.py
@@ -0,0 +1,164 @@
+import sys
+import os
+import copy
+import multiprocessing
+from multiprocessing import Pool
+
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_ann_utils import readClusterGeneIDs
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_res_utils import compareProfiles
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_comp_utils import *
+
+def retrieveCompMutations(drug_name):
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = 1#min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_SEL_DIR"]
+    analysis_comp_dir = parameters["RESULTS_A_COMP_S_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    comp_dir = parameters["COMP_DATA"]
+
+    print(analysis_comb_dir + drug_name + ".txt")
+    input_fn = analysis_comb_dir + drug_name + ".txt"
+    input_fh = open(input_fn)
+    gene_muts, rdr_muts, dr_profile = selectPutativeComp(input_fh, only_comp = True)
+    input_fh.close()
+
+    rdr_sets = [getBinSet(rdr_mut_profile) for (rdr_mut_profile, rdr_mut_desc) in rdr_muts]
+
+    tab_res = {}
+
+    for rdr_mut_descs, rdr_mut_profile in rdr_muts:
+        for rdr_mut_desc in rdr_mut_descs.strip().split(";"):
+
+            m1_gene_id, m2_c_id, m1_gene_name, m1_p_str, m1_ref_txt, m1_mut_txt = rdr_mut_desc.split()
+            m1_mut_latex = mutsDescToLatex(m1_mut_txt)
+            m1_set = getBinSet(rdr_mut_profile)
+
+            if not isMutInRRDR(rdr_mut_desc):
+                continue
+
+            if not rdr_mut_desc in tab_res:
+                tab_res[rdr_mut_desc] = []
+
+            for gene_name in gene_muts:
+                for gene_mut_descs, gene_mut_profile in gene_muts[gene_name]:
+                    for gene_mut_desc in gene_mut_descs.strip().split(";"):
+                        print(gene_mut_desc)
+                        m2_gene_id, m2_c_id, m2_gene_name, m2_p_str, m2_ref_txt, m2_mut_txt = gene_mut_desc.split()
+                        m2_mut_latex = mutsDescToLatex(m2_mut_txt)
+                        m2_set = getBinSet(gene_mut_profile)
+                        if m2_set.issubset(m1_set):
+                            tab_res[rdr_mut_desc].append(gene_mut_desc)
+
+    print(tab_res)
+        #tls.append("\\hline \n")
+    # tls.append("%" + parameters["D"] +"\n")
+    # for gene_name in sorted(gene_muts):
+    #     tls.append(">" + gene_name + "\n")
+    #     for mut_dets in sorted(gene_muts[gene_name], key=lambda entry:int(entry[0])):
+    #         (position, mut_desc, bin_profile) = mut_dets
+    #         mut_out = "\t".join(mut_desc.split()[3:])
+    #         tls.append(mut_out + "\n")
+    #         tls.append(tl)
+    #     tls.append("\\hline\n")
+
+    tls = []
+    tls.append("\\documentclass[10pt]{article}\n")
+    tls.append("\\usepackage{tikz}\n")
+    tls.append("\\usepackage{booktabs}\n")
+    tls.append("\\usepackage[margin=0.2in, paperwidth=8in, paperheight=15in]{geometry}\n")
+    tls.append("\\usepackage{fixltx2e}\n")
+    tls.append("\\begin{document}\n")
+    tls.append("\\scriptsize\n")
+    tls.append("\\begin{tabular}{cl}\n")
+
+    tls.append("\\toprule \n")
+    tls.append("gene & mutation desc.\\\\ \n")
+    for m1_desc in sorted(tab_res, key=lambda m1:-len(tab_res[m1])):
+        if len(tab_res[m1_desc]) == 0:
+            continue
+        m1_gene_id, m2_c_id, m1_gene_name, m1_p_str, m1_ref_txt, m1_mut_txt = m1_desc.split()
+        m1_mut_latex = mutsDescToLatex(m1_mut_txt)
+        tls.append("\\midrule \n")
+        m1_desc_out = " ".join([m1_ref_txt[0], m1_p_str, m1_mut_latex])
+        tls.append(" & ".join([m1_gene_name, m1_desc_out]) + "\\\\ \n")
+        tls.append("\\midrule \n")
+
+        for m2_desc in sorted(tab_res[m1_desc], key=lambda m2: (m2.split()[2], int(m2.split()[3]))):
+            m2_gene_id, m2_c_id, m2_gene_name, m2_p_str, m2_ref_txt, m2_mut_txt = m2_desc.split()
+            m2_mut_latex = mutsDescToLatex(m2_mut_txt)
+            m2_desc_out = " ".join([m2_ref_txt[0], m2_p_str, m2_mut_latex])
+            tls.append(" & ".join([m2_gene_name, m2_desc_out]) + "\\\\ \n")
+
+    tls.append("\\bottomrule \n")
+    tls.append("\\end{tabular}\n")
+    tls.append("\\end{document}\n")
+
+
+    ensure_dir(comp_dir + "/" + drug_name)
+    output1_fn = comp_dir + "/" + drug_name + "/tmp_tab_" + parameters["D"] + ".tex"
+    output2_fn = comp_dir + "/" + drug_name + "/tmp_tab_" + parameters["D"] + ".pdf"
+    output3_fn = comp_dir + "/" + drug_name + "/tab_" + parameters["D"] + ".pdf"
+
+    output_fh = open(output1_fn, "w")
+    for tl in tls:
+        output_fh.write(tl)
+    output_fh.close()
+
+    os.chdir(comp_dir + "/" + drug_name)
+    command = "pdflatex " + output1_fn
+    os.system(command)
+
+    command = "pdfcrop --margins '5 5 5 5' " + output2_fn + " " + output3_fn
+    os.system(command)
+
+    # command = "acroread " + output3_fn
+    # os.system(command)
+
+
+
+#507 - 533
+#(533-507+1)*3
+#450 - 531
+#zatem: 426 - 452 
+
+if __name__ == '__main__':
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = 1#min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_SEL_DIR"]
+    analysis_comp_dir = parameters["RESULTS_A_COMP_S_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    comp_dir = parameters["COMP_DATA"]
+
+    ensure_dir(comp_dir)
+    print(comp_dir)
+    
+    input_fn = results_dir + "/res_profiles.txt"
+    input_fh = open(input_fn)
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+
+    drug_names = ["Rifampicin"]
+    
+    for drug_name in drug_names:
+        retrieveCompMutations(drug_name)
diff --git a/src/drsoft/compensatory/show4_rpoB_rels.py b/src/drsoft/compensatory/show4_rpoB_rels.py
new file mode 100644
index 0000000..aee559b
--- /dev/null
+++ b/src/drsoft/compensatory/show4_rpoB_rels.py
@@ -0,0 +1,153 @@
+import sys
+import os
+import copy
+import multiprocessing
+from multiprocessing import Pool
+
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_ann_utils import readClusterGeneIDs
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_res_utils import compareProfiles
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_comp_utils import *
+from drsoft.utils.gwamar_stat_utils import *
+
+def retrieveCompMutations(drug_name):
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = 1#min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_SEL_DIR"]
+    analysis_comp_dir = parameters["RESULTS_A_COMP_S_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    comp_dir = parameters["COMP_DATA"]
+
+    print(analysis_comb_dir + drug_name + ".txt")
+    input_fn = analysis_comb_dir + drug_name + ".txt"
+    input_fh = open(input_fn)
+    gene_muts, rdr_muts, dr_profile = selectPutativeComp(input_fh, only_comp = True)
+    input_fh.close()
+
+    dr_set = getResSet(dr_profile)
+    rdr_sets = [getBinSet(rdr_mut_profile) for (rdr_mut_profile, rdr_mut_desc) in rdr_muts]
+
+    tab_res = {}
+
+    for rdr1_mut_descs, rdr1_mut_profile in sorted(rdr_muts, key=lambda x:x[0].split()[3]):
+        tokens = rdr1_mut_descs.split()
+        print("\\item " + tokens[4][0] + tokens[3] + mutsDescToMathLatex(tokens[5]))
+
+    for i in range(len(rdr_muts)-1):
+        rdr1_mut_descs, rdr1_mut_profile = rdr_muts[i]
+        for j in range(i+1, len(rdr_muts), 1):
+            
+            rdr2_mut_descs, rdr2_mut_profile = rdr_muts[j]
+            rdr1_set = getBinSet(rdr1_mut_profile)
+            rdr2_set = getBinSet(rdr2_mut_profile)
+            pval = hyperTestPvalue(len(dr_set), len(rdr2_set), len(rdr1_set), len(rdr1_set & rdr2_set), twoends=True)
+            
+            # if pval < 0.05:
+            #     print(rdr1_mut_descs, rdr2_mut_descs)
+            #     print(pval)
+            #     print(len(dr_set), len(rdr1_set), len(rdr2_set), len(rdr1_set & rdr2_set))
+
+    for rdr_mut_descs, rdr_mut_profile in rdr_muts:
+        for rdr_mut_desc in rdr_mut_descs.strip().split(";"):
+
+            m1_gene_id, m2_c_id, m1_gene_name, m1_p_str, m1_ref_txt, m1_mut_txt = rdr_mut_desc.split()
+            m1_mut_latex = mutsDescToLatex(m1_mut_txt)
+            m1_set = getBinSet(rdr_mut_profile)
+
+            if not isMutInRRDR(rdr_mut_desc):
+                continue
+
+            if not rdr_mut_desc in tab_res:
+                tab_res[rdr_mut_desc] = []
+
+            for gene_name in gene_muts:
+                for gene_mut_descs, gene_mut_profile in gene_muts[gene_name]:
+                    for gene_mut_desc in gene_mut_descs.strip().split(";"):
+                        m2_gene_id, m2_c_id, m2_gene_name, m2_p_str, m2_ref_txt, m2_mut_txt = gene_mut_desc.split()
+                        m2_mut_latex = mutsDescToLatex(m2_mut_txt)
+                        m2_set = getBinSet(gene_mut_profile)
+
+                        pval = hyperTestPvalue(len(dr_set), len(m2_set), len(m1_set), len(m1_set & m2_set), twoends=False)
+                        
+                        if pval < 0.001:
+                            print(rdr_mut_desc, gene_mut_desc)
+                            print(pval)
+                            print(len(dr_set), len(m2_set), len(m1_set), len(m1_set & m2_set))
+
+                        if m2_set.issubset(m1_set):
+                            tab_res[rdr_mut_desc].append(gene_mut_desc)
+
+    tls = []
+
+    for m1_desc in sorted(tab_res, key=lambda m1:-len(tab_res[m1])):
+    #    if len(tab_res[m1_desc]) == 0:
+    #        continue
+        m1_gene_id, m2_c_id, m1_gene_name, m1_p_str, m1_ref_txt, m1_mut_txt = m1_desc.split()
+        m1_mut_latex = mutsDescToLatex(m1_mut_txt)
+        m1_desc_out = " ".join([m1_ref_txt[0], m1_p_str, m1_mut_txt])
+        tls.append(">"+" ".join([m1_gene_name, m1_desc_out]) + "\n")
+
+        for m2_desc in sorted(tab_res[m1_desc], key=lambda m2: (m2.split()[2], int(m2.split()[3]))):
+            m2_gene_id, m2_c_id, m2_gene_name, m2_p_str, m2_ref_txt, m2_mut_txt = m2_desc.split()
+            m2_mut_latex = mutsDescToLatex(m2_mut_txt)
+            m2_desc_out = " ".join([m2_ref_txt[0], m2_p_str, m2_mut_txt])
+            tls.append(" ".join([m2_gene_name, m2_desc_out]) + "\n")
+
+    ensure_dir(comp_dir + "/" + drug_name)
+    output1_fn = comp_dir + "/" + drug_name + "/rels_" + parameters["D"] + ".tet"
+
+    output_fh = open(output1_fn, "w")
+    for tl in tls:
+        output_fh.write(tl)
+    output_fh.close()
+
+    # command = "acroread " + output3_fn
+    # os.system(command)
+
+
+
+#507 - 533
+#(533-507+1)*3
+#450 - 531
+#zatem: 426 - 452 
+
+if __name__ == '__main__':
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = 1#min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_SEL_DIR"]
+    analysis_comp_dir = parameters["RESULTS_A_COMP_S_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    comp_dir = parameters["COMP_DATA"]
+
+    ensure_dir(comp_dir)
+    print(comp_dir)
+    
+    input_fn = results_dir + "/res_profiles.txt"
+    input_fh = open(input_fn)
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+
+    drug_names = ["Rifampicin"]
+    
+    for drug_name in drug_names:
+        retrieveCompMutations(drug_name)
diff --git a/src/drsoft/compensatory/show5_rpoB_pvalues.py b/src/drsoft/compensatory/show5_rpoB_pvalues.py
new file mode 100644
index 0000000..996db62
--- /dev/null
+++ b/src/drsoft/compensatory/show5_rpoB_pvalues.py
@@ -0,0 +1,139 @@
+import os
+import sys
+import filecmp
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.structs.resistance_profile import ResistanceProfile
+from drsoft.utils.gwamar_utils import ensure_dir
+
+def readCompMutations2(input_fh):
+    comp_mutations = {}
+    source = ""
+    gene_name = ""
+    sources = []
+
+    lines = input_fh.readlines()
+    for line in lines:
+        line = line.strip()
+        line = line.split("#")[0].strip()
+        if len(line) == 0:
+            continue
+        if line.startswith("%"):
+            source = line[1:]
+            if not source in sources:
+                sources.append(source)
+        elif line.startswith(">"):
+            gene_name = line[1:].split()[0]
+            if not gene_name in comp_mutations:
+                comp_mutations[gene_name] = {}
+        else:
+            tokens = line.split()
+            if len(tokens) < 3:
+                continue
+            position = int(tokens[0].split("|")[0])
+            ref_state = tokens[1]
+            if not (position, ref_state) in comp_mutations[gene_name]:
+                comp_mutations[gene_name][(position, ref_state)] = {}
+            comp_mutations[gene_name][(position, ref_state)][source] = tokens[2]
+    return comp_mutations, sources
+
+
+gene_shift = {"rpoA":50, "rpoB":300, "rpoC": 550}
+
+gene_length = {"rpoA": 347, "rpoB": 1172, "rpoC": 1314}
+
+source_color = {"comas_whole-genome_2012": "red", "de_vos_putative_2013":"blue", "casali_evolution_2014":"black",
+ "mtu173":"orange", "broad_mtb":"violet", "brandis_fitness-compensatory_2012": "pink",
+ "brandis_genetic_2013": "purple"}
+sourse_shifts = {"comas_whole-genome_2012": 0, "de_vos_putative_2013": 10, "casali_evolution_2014": 20,
+        "mtu173":30, "broad_mtb":40, "brandis_fitness-compensatory_2012":50, "brandis_genetic_2013":60
+        }
+
+x_offset = 10
+
+if __name__ == '__main__':
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    stats_dir = parameters["STATS_DIR"]
+    latex_dir = parameters["LATEX_DIR"]
+    comp_dir = parameters["COMP_DATA"]
+
+    ensure_dir(stats_dir)
+    ensure_dir(latex_dir)
+
+    input_fh = open(input_dir + "/strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+    
+    input_fh = open(results_dir + "/res_profiles.txt")
+    res_profiles_list = readResistanceProfiles(input_fh, load_int=True)
+    input_fh.close()
+
+    input_fh = open(comp_dir + "/comp_data.txt")
+    comp_mutations, sources = readCompMutations2(input_fh)
+    input_fh.close()
+
+    res_profiles_sorted = sorted(res_profiles_list, key=lambda drp: -len(drp.getKnown()))
+
+    tls = []
+    tls.append("\\documentclass[10pt]{article}\n")
+    tls.append("\\usepackage{tikz}\n")
+    tls.append("\\usepackage[margin=0.2in, paperwidth=8in, paperheight=25in]{geometry}\n")
+    tls.append("\\usepackage{fixltx2e}\n")
+    tls.append("\\begin{document}\n")
+
+    tls.append("\\scriptsize\n")
+    tls.append("\\begin{tabular}{|c|c|c|c|c|c|c|}\n")
+    tls.append("\\hline \n")
+    tl = "position & ref aa "
+    for source in sources:
+        tl += " & " + source.replace("_", " ")
+    tl += " \\\\ \\hline\n"
+    tls.append(tl)
+
+    for gene_name in ["rpoA", "rpoB", "rpoC"]:
+        for (position, ref_state) in sorted(comp_mutations[gene_name]):
+            tl = str(position)+ " & " + ref_state[0]
+            for source in sources:
+                if source in comp_mutations[gene_name][(position, ref_state)]:
+                    mut_txt = comp_mutations[gene_name][(position, ref_state)][source]
+                    tl  += " & " + mutsDescToLatex(mut_txt)
+                else:
+                    tl  += " & "
+            tl += "\\\\ \n"
+
+            tls.append(tl)
+        tls.append("\\hline\n")
+    tls.append("\\end{tabular}\n")
+
+    tls.append("\\end{document}\n")
+
+    output1_fn = comp_dir + "/tmp_comp_rpoB_table.tex"
+
+    output_fh = open(output1_fn, "w")
+    for tl in tls:
+        output_fh.write(tl)
+    output_fh.close()
+
+    os.chdir(comp_dir)
+    command = "pdflatex " + output1_fn
+    print(command)
+    os.system(command)
+
+    output2_fn = comp_dir + "/tmp_comp_rpoB_table.pdf"
+    output3_fn = comp_dir + "/comp_rpoB_table.pdf"
+
+    # command = "pdfcrop --margins '5 5 5 5' " + output2_fn + " " + output3_fn
+    # os.system(command)
+
+    # command = "acroread " + output3_fn
+    # os.system(command)
+
diff --git a/src/drsoft/format_comp/__init__.py b/src/drsoft/format_comp/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/drsoft/format_comp/a0_mutations_latex_sel.py b/src/drsoft/format_comp/a0_mutations_latex_sel.py
new file mode 100644
index 0000000..ebccb82
--- /dev/null
+++ b/src/drsoft/format_comp/a0_mutations_latex_sel.py
@@ -0,0 +1,175 @@
+import math
+import os
+import sys
+import filecmp
+import multiprocessing
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.structs.resistance_profile import ResistanceProfile
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_comp_utils import *
+
+
+colors_map = {"?": "gray", "0": "white", "1": "orange", "2": "blue",
+               "3": "red", "4":"violet", "5": "green", "6": "brown",
+               "7": "pink", "8": "purple"}
+
+def saveMutsLatex(params):
+    drug_name = params["DRUG_NAME"]
+    dataset = params["D"]
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    stats_dir = parameters["STATS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_SEL_DIR"]
+    analysis_latex_sel_dir = parameters["RESULTS_A_LATEX_S_SEL_DIR"]
+    analysis_latex_dir = parameters["RESULTS_A_LATEX_S_DIR"]
+
+
+    input_fn = analysis_comb_dir + drug_name + ".txt"
+    input_fh = open(input_fn)
+    #gene_muts, rdr_sets = selectPutativeComp(input_fh, only_comp = True)
+    gene_muts, rdr_sets, dr_profile = selectPutativeComp(input_fh, only_comp = False)
+    input_fh.close()
+
+    mut_profiles = []
+
+    for gene_name in sorted(gene_muts):
+        for mut_dets in sorted(gene_muts[gene_name], key=lambda entry:int(entry[0])):
+            (position, mut_desc, bin_profile) = mut_dets
+            mut_profiles.append((bin_profile, gene_name, position))
+    # input_fn = analysis_comb_sel_dir + drug_name + ".txt"
+    # input_fh = open(input_fn)
+    # lines = input_fh.readlines()
+    # line0 = lines[0]
+    # dr_profile = line0.strip().split("\t")[0]
+    # input_fh.close()
+
+    # mut_profiles = []
+    # for line in lines[1:]:
+    #     line = line.strip()
+    #     tokens = line.split("\t")
+    #     bin_profile = tokens[0]
+    #     mut_desc_full = tokens[-1]
+    #     gene_id, position = mut_desc_full.split(" ")[2:4]
+    #     mut_profiles.append((bin_profile, gene_id, position))
+
+    mut_profiles_sorted = sorted(mut_profiles, key=lambda profile_gene_position: (-countNonZeros(profile_gene_position[0]), profile_gene_position[1]))
+
+    tls = []
+    tls.append("\\documentclass[10pt]{article}\n")
+    tls.append("\\usepackage{tikz}\n")
+    if dataset == "mtu_broad":
+        tls.append("\\usepackage[margin=0.2in, paperwidth=12in, paperheight=16in]{geometry}\n")
+    else:
+        tls.append("\\usepackage[margin=0.2in, paperwidth=3in, paperheight=16in]{geometry}\n")
+    tls.append("\\begin{document}\n")
+    tls.append("\\begin{tikzpicture}[x=0.5pt,y=0.5pt]\n")
+
+    y = 20
+    mlen = 5
+    xoffset = 9*mlen + 100
+    jm = min(100, len(mut_profiles)-1)
+
+    tls.append("\\node [right] at (" + str(0) + "," + str(10 + jm*y) + ") {" + drug_name + "};\n")
+    for i in range(len(dr_profile)):
+        if dr_profile[i] == "R": c = "red"
+        elif dr_profile[i] == "S": c = "green"
+        elif dr_profile[i] == "I": c = "yellow"
+        else: c = "gray"
+
+        tl = "\\draw [color=" + c + ",semithick] (" + str(xoffset+i) + "," + str(jm*y)+ ") -- (" + str(xoffset+i) + "," + str((jm+1)*y) + ");\n"  
+        tls.append(tl)
+
+    #len(lines)
+    for j in range(jm, 0, -1):
+        jl = jm - j
+        
+        bin_profile, gene_id, position = mut_profiles_sorted[jl]
+    
+        tls.append("\\node [right] at (" + str(0) + "," + str(10 + (j-1)*y) + ") {" + gene_id + " " + str(position) + "};\n")
+        
+        for i in range(len(bin_profile)):
+            c = colors_map.get(bin_profile[i], "black")
+
+            if bin_profile[i] == "0":
+                continue
+            tl = "\\draw [color=" + c + ",semithick] (" + str(xoffset+i) + "," + str((j-1)*y)+ ") -- (" + str(xoffset+i) + "," + str((j)*y) + ");\n"  
+            tls.append(tl)
+
+    tls.append("\\end{tikzpicture}\n")
+    tls.append("\\end{document}\n")
+
+    output1_fn = analysis_latex_sel_dir + "/tmp_" + drug_name + ".tex"
+    output2_fn = analysis_latex_sel_dir + "/tmp_" + drug_name + ".pdf"
+    output3_fn = analysis_latex_sel_dir + "/" + drug_name + ".pdf"
+    output_fh = open(output1_fn, "w")
+    for tl in tls:
+        output_fh.write(tl)
+    output_fh.close()
+
+    os.chdir(analysis_latex_sel_dir)
+    command = "pdflatex " + output1_fn
+    os.system(command)
+
+    command = "pdfcrop --margins '3 3 3 3' " + output2_fn + " "+output3_fn
+    os.system(command)
+
+    return drug_name
+
+if __name__ == '__main__':
+
+ 
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_dir = parameters["RESULTS_ANALYSIS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_DIR"]
+    analysis_comp_dir = parameters["RESULTS_A_COMP_S_DIR"]
+    analysis_latex_sel_dir = parameters["RESULTS_A_LATEX_S_SEL_DIR"]
+    analysis_latex_dir = parameters["RESULTS_A_LATEX_S_DIR"]
+
+    ensure_dir(analysis_latex_sel_dir)
+    ensure_dir(analysis_latex_dir)
+
+    
+    TASKS = []
+    TASK = {}
+    
+    input_fn = results_dir + "/res_profiles.txt"
+    input_fh = open(input_fn)
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    
+    drug_names = ["Rifampicin"]
+
+    for drug_name in drug_names:
+        ensure_dir(analysis_comp_dir + drug_name)
+        TASK["DRUG_NAME"] = drug_name
+        TASK["D"] = parameters["D"]
+
+        TASKS.append(TASK.copy())
+
+    progress = GWAMARProgress("Combined")
+    progress.setJobsCount(len(TASKS))
+        
+    if WORKERS > 1:
+        pool = Pool(processes=WORKERS)
+        for r in pool.imap(saveMutsLatex, TASKS):
+            progress.update(str(r))
+    else:
+        for T in TASKS:
+            r = saveMutsLatex(T)
+            progress.update(str(r))
diff --git a/src/drsoft/format_comp/a1_mutation_types.py b/src/drsoft/format_comp/a1_mutation_types.py
new file mode 100644
index 0000000..5162583
--- /dev/null
+++ b/src/drsoft/format_comp/a1_mutation_types.py
@@ -0,0 +1,204 @@
+import sys
+import os
+import copy
+import multiprocessing
+from multiprocessing import Pool
+
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_ann_utils import readClusterGeneIDs
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_res_utils import compareProfiles
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_comp_utils import *
+
+def saveMutsCategorized(params):
+    drug_name = params["DRUG_NAME"]
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_SEL_DIR"]
+    analysis_comp_dir = parameters["RESULTS_A_COMP_S_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    show_profiles = parameters["SP"]
+    
+    input_fn = analysis_comb_dir + drug_name + ".txt"
+    input_fh = open(input_fn)
+    lines = input_fh.readlines()
+    line0 = lines[0]
+    dr_profile = line0.strip().split("\t")[0]
+    mutation_sets_list = []
+    mutation_desc_list = []
+    
+    #dr_set = set(range(len(dr_profile)))
+    dr_set = getResSet(dr_profile, inc_q=True)
+  #  print("x", drug_name, len(getResSet(dr_profile, inc_q=False)))
+   # print("x", drug_name, len(getResSet(dr_profile, inc_q=True)))
+    
+    for line in lines[1:]:
+        line = line.strip()
+        tokens = line.split("\t")
+        bin_profile = tokens[0]
+        mut_desc = tokens[-1]
+        mut_set = getBinSet(bin_profile) & dr_set
+        mutation_sets_list.append(mut_set)
+        mutation_desc_list.append(mut_desc)
+        if len(mut_set) <= 0: 
+            break
+    input_fh.close()
+    
+    rem_set = set(dr_set)
+    n = len(mutation_sets_list)
+    print("sel", n)
+    
+    res_acq_ids = set([0])
+    if n == 0:
+        return drug_name
+    mutation_category = ["comp"]*n
+    mutation_category[0] = "orig"
+    
+    for i in range(n-1):
+        max_overlap_len = 0
+        max_overlap_j = -1
+        for j in range(0, n, 1):
+            rem_curr_set = mutation_sets_list[j] & rem_set
+            if len(rem_curr_set) > max_overlap_len:
+                max_overlap_len = len(rem_curr_set)
+                max_overlap_j = j
+        rem_set = set(rem_set - mutation_sets_list[max_overlap_j])
+        if max_overlap_j == -1:
+            break
+        res_acq_ids.add(max_overlap_j)
+        mutation_category[max_overlap_j] = "orig"
+    res_acq_ids_sorted = sorted(res_acq_ids)
+    
+    not_covered_by_higher = []
+    not_covered_by_other = []
+    res_covered = []
+    best_id = []
+    best_id_covered = []
+    for i in range(0, n, 1):
+        best_id_tmp = -1
+        best_id_covered_tmp = -1
+        rem_curr_set = set(dr_set) & mutation_sets_list[i]
+        for j in range(n):
+            if j == i:
+                not_covered_by_higher.append(set(rem_curr_set) & dr_set)
+            else:
+                rem_curr_set = rem_curr_set - mutation_sets_list[j]
+                if len(mutation_sets_list[j] & mutation_sets_list[i]) > best_id_covered_tmp:
+                    best_id_covered_tmp = len(mutation_sets_list[j] & mutation_sets_list[i])
+                    best_id_tmp = j
+        if mutation_desc_list[i].count(" 1224 ")> 0:
+            print("xxx", mutation_sets_list[i],dr_set )
+        res_covered.append(set(mutation_sets_list[i] & dr_set))
+        not_covered_by_other.append(set(rem_curr_set & dr_set))
+        best_id.append(best_id_tmp)
+        best_id_covered.append(best_id_covered_tmp)
+        
+    print(n, len(res_acq_ids), len(dr_set), len(rem_set), res_acq_ids_sorted)
+    k = len(res_acq_ids_sorted)
+    
+    comp_set_sorted = sorted(set(range(n)) - set(res_acq_ids_sorted))
+    m = len(comp_set_sorted)
+    print(k, m)
+    print(res_acq_ids_sorted)
+    print(comp_set_sorted)
+    
+    for i in range(m):
+        set_comp_id = comp_set_sorted[i]
+        ratio_max = 0.0
+        ratio_max_j = 0
+        for j in range(k):
+            set_res_id = res_acq_ids_sorted[j]
+            #if set_res_id > set_comp_id:
+            #    continue
+            inter_set = mutation_sets_list[set_res_id] & mutation_sets_list[set_comp_id]
+            sum_set = mutation_sets_list[set_res_id] | mutation_sets_list[set_comp_id]
+            if len(mutation_sets_list[set_comp_id]) == 0: ratio = 0.0
+            else: ratio = float(len(inter_set)) / float(len(mutation_sets_list[set_comp_id]))
+            if len(sum_set) ==0: jaccard = 0.0
+            else: jaccard = float(len(inter_set))/float(len(sum_set))
+            if ratio > ratio_max:
+                ratio_max = ratio
+                ratio_max_j = set_res_id
+                
+        print("y", set_comp_id, ratio_max_j, ratio_max, len(mutation_sets_list[set_comp_id]), mutation_desc_list[set_comp_id], mutation_desc_list[ratio_max_j])
+    
+    output_fh = open(analysis_comp_dir + drug_name  + "/categories.txt", "w")
+    tl = "mutation_category"
+    tl += "\t"+ "mutation_ranking"
+    tl += "\t" + "res_covered"
+    tl += "\t" + "res_not_covered_by_higher"
+    tl += "\t" + "res_not_covered_by_other"
+    tl += "\t" + "most_covered_by_one"
+    tl += "\t" + "best_coverer_details"
+    tl += "\t" + "mutation_details" + "\n"
+    output_fh.write(tl)
+    
+    for mut_id in range(n):
+        tl = mutation_category[mut_id]
+        tl += "\t"+ str(mut_id) 
+        tl += "\t" + str(len(res_covered[mut_id]))
+        tl += "\t" + str(len(not_covered_by_higher[mut_id]))
+        tl += "\t" + str(len(not_covered_by_other[mut_id]))
+        tl += "\t" + str(best_id_covered[mut_id])
+        tl += "\t" + str(best_id[mut_id])
+        tl += "\t" + mutation_desc_list[mut_id] + "\n"
+        
+        output_fh.write(tl)
+        
+    return drug_name
+    
+if __name__ == '__main__':
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_dir = parameters["RESULTS_ANALYSIS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_DIR"]
+    analysis_comp_dir = parameters["RESULTS_A_COMP_S_DIR"]
+    
+    ensure_dir(analysis_dir)
+    ensure_dir(analysis_comb_dir)
+    ensure_dir(analysis_comp_dir)
+
+    TASKS = []
+    TASK = {}
+    
+    input_fn = results_dir + "/res_profiles.txt"
+    input_fh = open(input_fn)
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    
+    for drug_name in drug_names:
+        ensure_dir(analysis_comp_dir + drug_name)
+        TASK["DRUG_NAME"] = drug_name
+
+        TASKS.append(TASK.copy())
+
+    progress = GWAMARProgress("Categotized")
+    progress.setJobsCount(len(TASKS))
+        
+    if WORKERS > 1:
+        pool = Pool(processes=WORKERS)
+        for r in pool.imap(saveMutsCategorized, TASKS):
+            progress.update(str(r))
+    else:
+        for T in TASKS:
+            r = saveMutsCategorized(T)
+            progress.update(str(r))
+
diff --git a/src/drsoft/format_comp/a2_mutation_patterns.py b/src/drsoft/format_comp/a2_mutation_patterns.py
new file mode 100644
index 0000000..ad22921
--- /dev/null
+++ b/src/drsoft/format_comp/a2_mutation_patterns.py
@@ -0,0 +1,121 @@
+import sys
+import os
+import copy
+import multiprocessing
+from multiprocessing import Pool
+
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_ann_utils import readClusterGeneIDs
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_res_utils import compareProfiles
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_comp_utils import *
+
+def saveMutsPatterns(params):
+    drug_name = params["DRUG_NAME"]
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_SEL_DIR"]
+    analysis_comp_dir = parameters["RESULTS_A_COMP_S_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    show_profiles = parameters["SP"]
+    
+    input_fn = analysis_comb_dir + drug_name + ".txt"
+    input_fh = open(input_fn)
+    lines = input_fh.readlines()
+    line0 = lines[0]
+    dr_profile = line0.strip().split("\t")[0]
+    
+
+    dr_set = getResSet(dr_profile)
+    
+    mutation_sets_list = [dr_set]
+    mutation_desc_list = ["res"]
+    
+    
+    for line in lines[1:]:
+        line = line.strip()
+        tokens = line.split("\t")
+        bin_profile = tokens[0]
+        mut_desc = tokens[-1]
+        mut_set = getBinSet(bin_profile) & dr_set
+        mutation_sets_list.append(mut_set)
+        mutation_desc_list.append(mut_desc)
+        if len(mut_set) <= 0: 
+            break
+    input_fh.close()
+    
+    n = len(mutation_sets_list)
+    output_fh = open(analysis_comp_dir + drug_name + "/matrix.txt", "w")
+    
+    for i in range(n):
+        output_fh.write(mutation_desc_list[i] + "\n")
+    
+    tl = "\t".join(["x"] + map(str, range(n))) + "\n"
+    output_fh.write(tl)
+    
+    for i in range(n):
+        set1 = mutation_sets_list[i]
+        tl = str(i)
+        for j in range(n):
+            set2 = mutation_sets_list[j]
+            tl += "\t" + str(len(set1 & set2))
+        tl += "\n"
+        
+        output_fh.write(tl)
+        
+    return drug_name
+    
+if __name__ == '__main__':
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_dir = parameters["RESULTS_ANALYSIS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_DIR"]
+    analysis_comp_dir = parameters["RESULTS_A_COMP_S_DIR"]
+    
+    ensure_dir(analysis_dir)
+    ensure_dir(analysis_comb_dir)
+    ensure_dir(analysis_comp_dir)
+
+    TASKS = []
+    TASK = {}
+    
+    input_fn = results_dir + "/res_profiles.txt"
+    input_fh = open(input_fn)
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    
+    for drug_name in drug_names:
+        TASK["DRUG_NAME"] = drug_name
+
+        TASKS.append(TASK.copy())
+
+    progress = GWAMARProgress("Combined")
+    progress.setJobsCount(len(TASKS))
+        
+    if WORKERS > 1:
+        pool = Pool(processes=WORKERS)
+        for r in pool.imap(saveMutsPatterns, TASKS):
+            progress.update(str(r))
+    else:
+        for T in TASKS:
+            r = saveMutsPatterns(T)
+            progress.update(str(r))
+
diff --git a/src/drsoft/format_comp/a3_mutation_rel1.py b/src/drsoft/format_comp/a3_mutation_rel1.py
new file mode 100644
index 0000000..bcc6d70
--- /dev/null
+++ b/src/drsoft/format_comp/a3_mutation_rel1.py
@@ -0,0 +1,122 @@
+import sys
+import os
+import copy
+import multiprocessing
+from multiprocessing import Pool
+
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_ann_utils import readClusterGeneIDs
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_res_utils import compareProfiles
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_comp_utils import *
+
+def saveMutsRelations(params):
+    drug_name = params["DRUG_NAME"]
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_SEL_DIR"]
+    analysis_comp_dir = parameters["RESULTS_A_COMP_S_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    show_profiles = parameters["SP"]
+    
+    input_fn = analysis_comb_dir + drug_name + ".txt"
+    input_fh = open(input_fn)
+    lines = input_fh.readlines()
+    line0 = lines[0]
+    dr_profile = line0.strip().split("\t")[0]
+    
+
+    dr_set = getResSet(dr_profile, inc_q=True)
+    
+    mutation_sets_list = [dr_set]
+    mutation_desc_list = ["res"]
+    
+    
+    for line in lines[1:]:
+        line = line.strip()
+        tokens = line.split("\t")
+        bin_profile = tokens[0]
+        mut_desc = tokens[-1]
+        mut_set = getBinSet(bin_profile)# & dr_set
+        mutation_sets_list.append(mut_set)
+        mutation_desc_list.append(mut_desc)
+        if len(mut_set) <= 0: 
+            break
+    input_fh.close()
+    
+    n = len(mutation_sets_list)
+    output_fh = open(analysis_comp_dir + drug_name + "/relations.txt", "w")
+    
+    for i in range(n):
+        set1 = set(mutation_sets_list[i])
+        opt_j = -1
+        opt_j_size = 2000
+        for j in range(n):
+            if j == i: continue
+            set2 = set(mutation_sets_list[j])
+            if len(set1-set2) < 0.1*len(set1) and len(set2) < opt_j_size:
+                opt_j_size = len(set2)
+                opt_j = j
+        if opt_j >= 0:
+            tl = "\t".join(map(str, [i, opt_j, len(set1), len(set1-mutation_sets_list[opt_j]), mutation_desc_list[i]])) + "\n"
+        else:
+            tl = "\t".join(map(str, [i, opt_j, len(set1), len(set1-mutation_sets_list[0]), mutation_desc_list[i]])) + "\n"
+          
+        output_fh.write(tl)
+        
+    return drug_name
+    
+if __name__ == '__main__':
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = 1#min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_dir = parameters["RESULTS_ANALYSIS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_DIR"]
+    analysis_comp_dir = parameters["RESULTS_A_COMP_S_DIR"]
+    
+    ensure_dir(analysis_dir)
+    ensure_dir(analysis_comb_dir)
+    ensure_dir(analysis_comp_dir)
+
+    TASKS = []
+    TASK = {}
+    
+    input_fn = results_dir + "/res_profiles.txt"
+    input_fh = open(input_fn)
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    
+    for drug_name in drug_names:
+        TASK["DRUG_NAME"] = drug_name
+
+        TASKS.append(TASK.copy())
+
+    progress = GWAMARProgress("Combined")
+    progress.setJobsCount(len(TASKS))
+        
+    if WORKERS > 1:
+        pool = Pool(processes=WORKERS)
+        for r in pool.imap(saveMutsRelations, TASKS):
+            progress.update(str(r))
+    else:
+        for T in TASKS:
+            r = saveMutsRelations(T)
+            progress.update(str(r))
+
diff --git a/src/drsoft/format_comp/a4_mutation_rel2.py b/src/drsoft/format_comp/a4_mutation_rel2.py
new file mode 100644
index 0000000..c4d9a8e
--- /dev/null
+++ b/src/drsoft/format_comp/a4_mutation_rel2.py
@@ -0,0 +1,171 @@
+import sys
+import os
+import copy
+import multiprocessing
+from multiprocessing import Pool
+
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_ann_utils import readClusterGeneIDs
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_res_utils import compareProfiles
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_comp_utils import *
+
+def saveMutsRelationsSep(params):
+    drug_name = params["DRUG_NAME"]
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_SEL_DIR"]
+    analysis_comp_dir = parameters["RESULTS_A_COMP_S_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    show_profiles = parameters["SP"]
+    
+    input_fn = analysis_comb_dir + drug_name + ".txt"
+    input_fh = open(input_fn)
+    lines = input_fh.readlines()
+    line0 = lines[0]
+    dr_profile = line0.strip().split("\t")[0]
+
+    dr_set = getResSet(dr_profile, inc_q=False)
+    sc_set = getSuscSet(dr_profile, inc_q=False)
+    
+    mutation_sets_list = []
+    mutation_desc_list = []
+    
+    for line in lines[1:]:
+        line = line.strip()
+        tokens = line.split("\t")
+        bin_profile = tokens[0]
+        for mut_det_token in tokens[-1].split(";"):
+            gene_id, cluster_id, gene_name, position_str, ref_state, mut_states = mut_det_token.split()
+            position = int(position_str)
+            if position < 0:
+                continue
+            mut_states_list = mut_states.split(",")
+
+            mut_sets_map = getBinSetsMap(bin_profile)
+            for bin_id in mut_sets_map:
+                mut_set = mut_sets_map[bin_id]
+                if len(mut_set & dr_set) < len(mut_set & sc_set):
+                    continue
+                mutation_sets_list.append(mut_set)
+                mut_desc = gene_id +" " +gene_name + " " + str(position) + " " + ref_state + " " + mut_states_list[int(bin_id)-1]
+                mutation_desc_list.append(mut_desc)
+
+    input_fh.close()
+    
+    n = len(mutation_sets_list)
+
+    tls = []
+    covered = set([])
+    covered_map = set([])
+    uncovered = set(range(n))
+
+    for i in range(n):
+        set1 = set(mutation_sets_list[i])
+        for j in range(n):
+            if i == j: continue
+            set2 = set(mutation_sets_list[j])
+            if set1.issubset(set2):
+           # if set1.issubset(set2) and len(set1) < len(set2):
+                covered.add(i)
+                if i in uncovered:
+                    uncovered.remove(i)
+    
+    for i in sorted(uncovered):
+        tls.append(str(i) + "\n")
+
+    for i in sorted(covered):
+        set1 = set(mutation_sets_list[i])
+        j_max = 0
+        s_max = 0
+        for j in uncovered:
+            set2 = set(mutation_sets_list[j])
+
+            if set1.issubset(set2):
+                if len(set2) > s_max:
+                    s_max = len(set2)
+                    j_max = j
+        if s_max > 0:
+            tls.append(str(i)  + " " + str(j_max)+ "\n")
+
+    for i in range(n):
+        tl = str(i) + "\t" + mutation_desc_list[i] + "\n"          
+        tls.append(tl)
+
+    
+    # for i in range(n):
+    #     set1 = set(mutation_sets_list[i])
+    #     opt_j = -1
+    #     opt_j_size = 2000
+    #     for j in range(n):
+    #         if j == i: continue
+    #         set2 = set(mutation_sets_list[j])
+    #         if len(set1-set2) < 0.1*len(set1) and len(set2) < opt_j_size:
+    #             opt_j_size = len(set2)
+    #             opt_j = j
+    #     if opt_j >= 0:
+    #         text_line = str(i) + "\t" + str(opt_j) + "\t" + str(len(set1)) + "\t" + str(len(set1-mutation_sets_list[opt_j])) + "\t" + mutation_desc_list[i] + "\n"
+    #     else:
+    #         text_line = str(i) + "\t" + str(opt_j) + "\t" + str(len(set1)) + "\t" + str(len(set1-mutation_sets_list[0])) + "\t" + mutation_desc_list[i] + "\n"
+        
+    output_fh = open(analysis_comp_dir + drug_name + "/relations_sep.txt", "w")
+    for tl in tls:   
+        output_fh.write(tl)
+    output_fh.close()
+
+    return drug_name
+    
+if __name__ == '__main__':
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = 1#min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_dir = parameters["RESULTS_ANALYSIS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_DIR"]
+    analysis_comp_dir = parameters["RESULTS_A_COMP_S_DIR"]
+    
+    ensure_dir(analysis_dir)
+    ensure_dir(analysis_comb_dir)
+    ensure_dir(analysis_comp_dir)
+
+    TASKS = []
+    TASK = {}
+    
+    input_fn = results_dir + "/res_profiles.txt"
+    input_fh = open(input_fn)
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    
+    for drug_name in drug_names:
+        TASK["DRUG_NAME"] = drug_name
+
+        TASKS.append(TASK.copy())
+
+    progress = GWAMARProgress("saveMutsRelationsSep")
+    progress.setJobsCount(len(TASKS))
+        
+    if WORKERS > 1:
+        pool = Pool(processes=WORKERS)
+        for r in pool.imap(saveMutsRelationsSep, TASKS):
+            progress.update(str(r))
+    else:
+        for T in TASKS:
+            r = saveMutsRelationsSep(T)
+            progress.update(str(r))
+
diff --git a/src/drsoft/format_comp/a5_mutation_rel3.py b/src/drsoft/format_comp/a5_mutation_rel3.py
new file mode 100644
index 0000000..5a206fb
--- /dev/null
+++ b/src/drsoft/format_comp/a5_mutation_rel3.py
@@ -0,0 +1,123 @@
+import sys
+import os
+import copy
+import multiprocessing
+from multiprocessing import Pool
+
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_ann_utils import readClusterGeneIDs
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_res_utils import compareProfiles
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_comp_utils import *
+
+
+def saveScoresCombined(params):
+    drug_name = params["DRUG_NAME"]
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_SEL_DIR"]
+    analysis_comp_dir = parameters["RESULTS_A_COMP_S_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    show_profiles = parameters["SP"]
+    
+    input_fn = analysis_comb_dir + drug_name + ".txt"
+    input_fh = open(input_fn)
+    lines = input_fh.readlines()
+    line0 = lines[0]
+    dr_profile = line0.strip().split("\t")[0]
+    
+
+    dr_set = getResSet(dr_profile, inc_q=True)
+    
+    mutation_sets_list = [dr_set]
+    mutation_desc_list = ["res"]
+    
+    for line in lines[1:]:
+        line = line.strip()
+        tokens = line.split("\t")
+        bin_profile = tokens[0]
+        mut_desc = tokens[-1]
+        mut_set = getBinSet(bin_profile)# & dr_set
+        mutation_sets_list.append(mut_set)
+        mutation_desc_list.append(mut_desc)
+        if len(mut_set) <= 0: 
+            print("xxx")
+            break
+    input_fh.close()
+    
+    n = len(mutation_sets_list)
+    output_fh = open(analysis_comp_dir + drug_name + "/comp_rels.txt", "w")
+    
+    for i in range(n):
+        set1 = set(mutation_sets_list[i])
+        opt_j = -1
+        opt_j_size = 2000
+        for j in range(n):
+            if j == i: continue
+            set2 = set(mutation_sets_list[j])
+            if len(set1-set2) < 0.1*len(set1) and len(set2) < opt_j_size:
+                opt_j_size = len(set2)
+                opt_j = j
+        if opt_j >= 0:
+            tl = "\t".join(map(str, [i, opt_j, len(set1), len(set1-mutation_sets_list[opt_j]), mutation_desc_list[i]])) + "\n"
+        else:
+            tl = "\t".join(map(str, [i, opt_j, len(set1), len(set1-mutation_sets_list[0]), mutation_desc_list[i]])) + "\n"
+       
+        output_fh.write(tl)
+        
+    return drug_name
+    
+if __name__ == '__main__':
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = 1#min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_dir = parameters["RESULTS_ANALYSIS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_DIR"]
+    analysis_comp_dir = parameters["RESULTS_A_COMP_S_DIR"]
+    
+    ensure_dir(analysis_dir)
+    ensure_dir(analysis_comb_dir)
+    ensure_dir(analysis_comp_dir)
+
+    TASKS = []
+    TASK = {}
+    
+    input_fn = results_dir + "/res_profiles.txt"
+    input_fh = open(input_fn)
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    
+    for drug_name in drug_names:
+        TASK["DRUG_NAME"] = drug_name
+
+        TASKS.append(TASK.copy())
+
+    progress = GWAMARProgress("Combined")
+    progress.setJobsCount(len(TASKS))
+        
+    if WORKERS > 1:
+        pool = Pool(processes=WORKERS)
+        for r in pool.imap(saveScoresCombined, TASKS):
+            progress.update(str(r))
+    else:
+        for T in TASKS:
+            r = saveScoresCombined(T)
+            progress.update(str(r))
+
diff --git a/src/drsoft/format_comp/a7_graphvis.py b/src/drsoft/format_comp/a7_graphvis.py
new file mode 100644
index 0000000..0b7ae47
--- /dev/null
+++ b/src/drsoft/format_comp/a7_graphvis.py
@@ -0,0 +1,205 @@
+import sys
+import os
+import copy
+import multiprocessing
+from multiprocessing import Pool
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_ann_utils import readClusterGeneIDs
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_muts_io_utils import *
+from drsoft.utils.gwamar_res_utils import compareProfiles
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_comp_utils import *
+from drsoft.utils.gwamar_stat_utils import *
+from drsoft.structs.rel_graph import *
+
+def readDrugResAssoc(input_fh, drug_name = ""):
+    drug_res_assoc = {}
+    for line in input_fh.readlines():
+        if line.startswith("#"): continue
+
+        tokens = line.strip().split()
+        if len(tokens) < 5: continue
+
+        assoc = tokens[0]
+        dn = tokens[1]
+        if dn != drug_name: continue
+        gene = tokens[2]
+        position = tokens[4]
+        drug_res_assoc[(gene,position)] = assoc
+    return drug_res_assoc
+
+def saveScoresCombined(params):
+    drug_name = params["DRUG_NAME"]
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_SEL_DIR"]
+    analysis_comp_dir = parameters["RESULTS_A_COMP_S_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    gold_dir = parameters["DATASET_GOLD_DIR"]
+    show_profiles = parameters["SP"]
+
+    if os.path.exists(input_dir + "/cluster_gene_ref_ids.txt"):
+        cluster_fh = open(input_dir + "/cluster_gene_ref_ids.txt")
+        cluster_ids, cluster_ids_rev = readClusterGeneIDs(cluster_fh, gene_ref_ids=True)
+        cluster_fh.close()
+    else:
+        cluster_ids = {}
+        cluster_ids_rev = {}
+
+    input_fn = gold_dir + "/gold_assocs_H.txt"
+    if not os.path.exists(input_fn):
+        print("File does not exist:" + input_fn)
+        drug_res_assoc = {}
+    else:
+        input_fh = open(input_fn)
+        drug_res_assoc = readGoldAssociations(input_fh, cluster_ids_rev)
+        input_fh.close()
+    
+    print(drug_res_assoc)
+        
+    # input_fh = open(input_fn)
+    # drug_res_assoc = readDrugResAssoc(input_fh, drug_name=drug_name)
+    # input_fh.close()
+    # print(drug_res_assoc)
+
+    input_fn = analysis_comb_dir + drug_name + ".txt"
+    input_fh = open(input_fn)
+    gene_muts, rdr_sets = selectPutativeComp(input_fh)
+    input_fh.close()
+
+    # input_fn = analysis_comb_dir + drug_name + ".txt"
+    # input_fh = open(input_fn)
+    # lines = input_fh.readlines()
+    # line0 = lines[0]
+    # dr_profile = line0.strip().split("\t")[0]
+    
+    # all_set = getResSet(dr_profile, inc_q=False, inc_susc=True)
+    # dr_set = getResSet(dr_profile, inc_q=False, inc_susc=False)
+    # drq_set = getResSet(dr_profile, inc_q=False, inc_susc=False)
+    
+    nodes_map = {}
+    snodes = set([])
+    ncount = 0
+    rel_graph = RelGraph()
+
+    for gene_name in gene_muts.keys():
+        gene1_muts_list = gene_muts[gene_name]
+        for gene1_mut in gene1_muts_list:
+            position1, mut1_desc, mut1_profile = gene1_mut
+            gene_id, cluster_id, gene_name, position_str, ref_aa, mut_aa = mut1_desc.split()
+            mut_set = getBinSet(mut1_profile)
+            nlabel = " ".join([gene_name[3], position_str, ref_aa, mut_aa])
+
+            if isMutInRRDR(mut1_desc):
+                ncolor = "red"
+            else:
+                ncolor = "blue"
+            node = RelGraphNode(str(ncount), label=nlabel, ncolor=ncolor, mprofile=mut1_profile)
+            if ncolor == "red": 
+                snodes.add(node)
+            nodes_map[node.node_id] = node
+            ncount += 1
+            rel_graph.addNode(node)
+
+    for node1_id in nodes_map.keys():
+        node1 = nodes_map[node1_id]
+        m1_profile = node1.mprofile
+        m1_set = getBinSet(m1_profile)
+        for node2_id in nodes_map.keys():
+            if node1_id == node2_id:
+                continue
+            
+            node2 = nodes_map[node2_id]
+            m2_profile = node2.mprofile
+            m2_set = getBinSet(m2_profile)
+
+            N = len(m1_profile)
+            n = len(m1_set)
+            m = len(m2_set)
+            k = len(m1_set & m2_set)
+
+            pvalue = hyperTestPvalue(N, m, n, k)
+            
+            if m1_set.issubset(m2_set) and len(m1_set) > 1:
+                elabel = str(len(m1_set & m2_set))
+                edge = RelGraphEdge(node2, label=elabel, ecolor="blue")
+                edge_rev = RelGraphEdge(node1, label=elabel, ecolor="blue")
+                node1.addEdge(edge)
+                node2.addEdgeRev(edge_rev)
+
+    ensure_dir(analysis_comp_dir + drug_name)
+    output1_fn = analysis_comp_dir + drug_name + "/graph.dot"
+    output2_fn = analysis_comp_dir + drug_name + "/tmp_graph.pdf"
+    output3_fn = analysis_comp_dir + drug_name + "/graph.pdf"
+
+
+    subnodes = rel_graph.visible_nodes(snodes)
+
+    saveRelGraph(rel_graph, output1_fn, subnodes=subnodes)
+    
+   # output_fn = os.path.relpath()
+    command = "dot -Tpdf "+output1_fn + " -o " + output2_fn
+    os.system(command)
+
+    command = "pdfcrop --margins '3 3 3 3' " + output2_fn + " "+output3_fn
+    os.system(command)
+
+    return drug_name
+    
+if __name__ == '__main__':
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = 1#min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_dir = parameters["RESULTS_ANALYSIS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_DIR"]
+    analysis_comp_dir = parameters["RESULTS_A_COMP_S_DIR"]
+    
+    ensure_dir(analysis_dir)
+    ensure_dir(analysis_comb_dir)
+    ensure_dir(analysis_comp_dir)
+
+    TASKS = []
+    TASK = {}
+    
+    input_fn = results_dir + "/res_profiles.txt"
+    input_fh = open(input_fn)
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+
+    drug_names = ["Rifampicin"]
+    
+    for drug_name in drug_names:
+        TASK["DRUG_NAME"] = drug_name
+
+        TASKS.append(TASK.copy())
+
+    progress = GWAMARProgress("Combined")
+    progress.setJobsCount(len(TASKS))
+        
+    if WORKERS > 1:
+        pool = Pool(processes=WORKERS)
+        for r in pool.imap(saveScoresCombined, TASKS):
+            progress.update(str(r))
+    else:
+        for T in TASKS:
+            r = saveScoresCombined(T)
+            progress.update(str(r))
+
+#print(hyperTestPvalue(1000, 10, 20, 4))
\ No newline at end of file
diff --git a/src/drsoft/format_comp/a8_graphvis_pvalue.py b/src/drsoft/format_comp/a8_graphvis_pvalue.py
new file mode 100644
index 0000000..6dc8f12
--- /dev/null
+++ b/src/drsoft/format_comp/a8_graphvis_pvalue.py
@@ -0,0 +1,201 @@
+import sys
+import os
+import copy
+import multiprocessing
+from multiprocessing import Pool
+
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_ann_utils import readClusterGeneIDs
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_res_utils import compareProfiles
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_stat_utils import *
+from drsoft.utils.gwamar_comp_utils import *
+
+def readDrugResAssoc(input_fh, drug_name = ""):
+    drug_res_assoc = {}
+    for line in input_fh.readlines():
+        if line.startswith("#"): continue
+
+        tokens = line.strip().split()
+        if len(tokens) < 5: continue
+
+        assoc = tokens[0]
+        dn = tokens[1]
+        if dn != drug_name: continue
+        gene = tokens[2]
+        position = tokens[4]
+        drug_res_assoc[(gene,position)] = assoc
+    return drug_res_assoc
+
+def saveScoresCombined(params):
+    drug_name = params["DRUG_NAME"]
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_SEL_DIR"]
+    analysis_comp_dir = parameters["RESULTS_A_COMP_S_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    show_profiles = parameters["SP"]
+
+    input_fn = input_dir + "/drug_res_muts.txt"
+    if not os.path.exists(input_fn):
+        exit()
+        
+    input_fh = open(input_fn)
+    drug_res_assoc = readDrugResAssoc(input_fh, drug_name=drug_name)
+    input_fh.close()
+
+    input_fn = analysis_comb_dir + drug_name + ".txt"
+    input_fh = open(input_fn)
+    lines = input_fh.readlines()
+    line0 = lines[0]
+    dr_profile = line0.strip().split("\t")[0]
+    
+    all_set = getResSet(dr_profile, inc_q=True, inc_susc=True)
+    dr_set = getResSet(dr_profile, inc_q=False, inc_susc=False)
+    drq_set = getResSet(dr_profile, inc_q=True, inc_susc=False)
+    
+    N = len(all_set)
+    mutation_sets_list = [drq_set]
+    mutation_desc_list = ["res"]
+    
+    for line in lines[1:]:
+        line = line.strip()
+        tokens = line.split("\t")
+        bin_profile = tokens[0]
+        mut_desc_tokens = tokens[-1].split(";")[0].split()[2:]
+        wscore = float(tokens[-2])
+        if wscore < 0: break
+        mut_desc = ""
+        for tmp in mut_desc_tokens: mut_desc += tmp + " "
+        mut_desc = mut_desc[:-1]
+
+        mut_set = getBinSet(bin_profile)
+        if len(mut_set) <= 0: 
+            break
+        mutation_sets_list.append(mut_set)
+        mutation_desc_list.append(mut_desc)
+    input_fh.close()
+    
+    n = len(mutation_sets_list)
+    
+    tls = []
+    tls.append("digraph G {\n");
+    #tls.append("concentrate=true\n")
+
+    for i in range(n):
+        label = mutation_desc_list[i]
+        label_toks = label.split()
+        if len(label_toks) < 2: color = "black"
+        else: 
+            gene, position = label_toks[:2]
+            if not (gene,position) in drug_res_assoc:
+                color = "black"
+            elif drug_res_assoc[(gene,position)] == "R":
+                color = "red"
+            elif drug_res_assoc[(gene,position)] == "C":
+                color = "blue"
+            else:
+                color = "black"
+        tls.append("\t" +str(i) +' [label="'+  label +"("+str(len(mutation_sets_list[i]))+')",color='+color+'];' + "\n")
+    
+    for i in range(1, n, 1):
+        set1 = mutation_sets_list[i]
+        opt_j = 0
+        opt_set = dr_set
+        opt_pvalue = 1.0
+
+        for j in range(n):
+            if i == j: continue
+            set2 = mutation_sets_list[j]
+            inter = set1 & set2
+            jk = len(inter)
+       #     if len(set2-set1) < len(set1-set2):
+        #        continue
+           # pvalue = hyperTestPvalue(N, len(set1), len(set2), len(inter))
+            pvalue = hyperTestPvalue(N, len(set1), len(set2), len(inter), twoends=False)
+            #if len(set1-set2) <= 0.3334*len(set1):
+            #if set1.issubset(set2):
+            if pvalue < opt_pvalue:
+                opt_set = set2
+                opt_j = j
+                opt_pvalue = pvalue
+
+            pvalue_two = hyperTestPvalue(N, len(set1), len(set2), len(inter), twoends=True)
+            if pvalue>pvalue_two and pvalue_two<0.01:
+                if not set1.issubset(set2) and not set2.issubset(set1):
+                    if i<j:
+                        label = str("%.6f" % pvalue_two)
+                        tls.append('\t' + str(i) + " -> " + str(j) + ' [label="'+str(label)+'",color=red,dir=none];'+'\n')
+        if opt_pvalue < 0.01:
+            label = str("%.6f" % opt_pvalue)
+            if set1.issubset(opt_set):
+                tls.append('\t' + str(i) + "->" + str(opt_j) + ' [label="'+label+'",color=blue];'+'\n')
+            else:
+                tls.append('\t' + str(i) + "->" + str(opt_j) + ' [label="'+label+'",color=black];'+'\n')
+    tls.append("}\n")
+
+    output_fh = open(analysis_comp_dir + drug_name + "/graph_pvalues.dot", "w")
+    for tl in tls:
+        output_fh.write(tl);
+    output_fh.close()
+
+    input_fn = os.path.relpath(analysis_comp_dir + drug_name + "/graph_pvalues.dot")
+    output_fn = os.path.relpath(analysis_comp_dir + drug_name + "/graph_pvalues.pdf")
+
+    os.system("dot -Tpdf "+input_fn + " -o " + output_fn)
+
+    return drug_name
+    
+if __name__ == '__main__':
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = 1#min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_dir = parameters["RESULTS_ANALYSIS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_DIR"]
+    analysis_comp_dir = parameters["RESULTS_A_COMP_S_DIR"]
+    
+    ensure_dir(analysis_dir)
+    ensure_dir(analysis_comb_dir)
+    ensure_dir(analysis_comp_dir)
+
+    TASKS = []
+    TASK = {}
+    
+    input_fn = results_dir + "/res_profiles.txt"
+    input_fh = open(input_fn)
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    
+    for drug_name in drug_names:
+        TASK["DRUG_NAME"] = drug_name
+        TASKS.append(TASK.copy())
+
+    progress = GWAMARProgress("Combined")
+    progress.setJobsCount(len(TASKS))
+        
+    if WORKERS > 1:
+        pool = Pool(processes=WORKERS)
+        for r in pool.imap(saveScoresCombined, TASKS):
+            progress.update(str(r))
+    else:
+        for T in TASKS:
+            r = saveScoresCombined(T)
+            progress.update(str(r))
+
diff --git a/src/drsoft/format_comp/a9_graphviz_new.py b/src/drsoft/format_comp/a9_graphviz_new.py
new file mode 100644
index 0000000..6dc8f12
--- /dev/null
+++ b/src/drsoft/format_comp/a9_graphviz_new.py
@@ -0,0 +1,201 @@
+import sys
+import os
+import copy
+import multiprocessing
+from multiprocessing import Pool
+
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_ann_utils import readClusterGeneIDs
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_res_utils import compareProfiles
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_stat_utils import *
+from drsoft.utils.gwamar_comp_utils import *
+
+def readDrugResAssoc(input_fh, drug_name = ""):
+    drug_res_assoc = {}
+    for line in input_fh.readlines():
+        if line.startswith("#"): continue
+
+        tokens = line.strip().split()
+        if len(tokens) < 5: continue
+
+        assoc = tokens[0]
+        dn = tokens[1]
+        if dn != drug_name: continue
+        gene = tokens[2]
+        position = tokens[4]
+        drug_res_assoc[(gene,position)] = assoc
+    return drug_res_assoc
+
+def saveScoresCombined(params):
+    drug_name = params["DRUG_NAME"]
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_SEL_DIR"]
+    analysis_comp_dir = parameters["RESULTS_A_COMP_S_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    show_profiles = parameters["SP"]
+
+    input_fn = input_dir + "/drug_res_muts.txt"
+    if not os.path.exists(input_fn):
+        exit()
+        
+    input_fh = open(input_fn)
+    drug_res_assoc = readDrugResAssoc(input_fh, drug_name=drug_name)
+    input_fh.close()
+
+    input_fn = analysis_comb_dir + drug_name + ".txt"
+    input_fh = open(input_fn)
+    lines = input_fh.readlines()
+    line0 = lines[0]
+    dr_profile = line0.strip().split("\t")[0]
+    
+    all_set = getResSet(dr_profile, inc_q=True, inc_susc=True)
+    dr_set = getResSet(dr_profile, inc_q=False, inc_susc=False)
+    drq_set = getResSet(dr_profile, inc_q=True, inc_susc=False)
+    
+    N = len(all_set)
+    mutation_sets_list = [drq_set]
+    mutation_desc_list = ["res"]
+    
+    for line in lines[1:]:
+        line = line.strip()
+        tokens = line.split("\t")
+        bin_profile = tokens[0]
+        mut_desc_tokens = tokens[-1].split(";")[0].split()[2:]
+        wscore = float(tokens[-2])
+        if wscore < 0: break
+        mut_desc = ""
+        for tmp in mut_desc_tokens: mut_desc += tmp + " "
+        mut_desc = mut_desc[:-1]
+
+        mut_set = getBinSet(bin_profile)
+        if len(mut_set) <= 0: 
+            break
+        mutation_sets_list.append(mut_set)
+        mutation_desc_list.append(mut_desc)
+    input_fh.close()
+    
+    n = len(mutation_sets_list)
+    
+    tls = []
+    tls.append("digraph G {\n");
+    #tls.append("concentrate=true\n")
+
+    for i in range(n):
+        label = mutation_desc_list[i]
+        label_toks = label.split()
+        if len(label_toks) < 2: color = "black"
+        else: 
+            gene, position = label_toks[:2]
+            if not (gene,position) in drug_res_assoc:
+                color = "black"
+            elif drug_res_assoc[(gene,position)] == "R":
+                color = "red"
+            elif drug_res_assoc[(gene,position)] == "C":
+                color = "blue"
+            else:
+                color = "black"
+        tls.append("\t" +str(i) +' [label="'+  label +"("+str(len(mutation_sets_list[i]))+')",color='+color+'];' + "\n")
+    
+    for i in range(1, n, 1):
+        set1 = mutation_sets_list[i]
+        opt_j = 0
+        opt_set = dr_set
+        opt_pvalue = 1.0
+
+        for j in range(n):
+            if i == j: continue
+            set2 = mutation_sets_list[j]
+            inter = set1 & set2
+            jk = len(inter)
+       #     if len(set2-set1) < len(set1-set2):
+        #        continue
+           # pvalue = hyperTestPvalue(N, len(set1), len(set2), len(inter))
+            pvalue = hyperTestPvalue(N, len(set1), len(set2), len(inter), twoends=False)
+            #if len(set1-set2) <= 0.3334*len(set1):
+            #if set1.issubset(set2):
+            if pvalue < opt_pvalue:
+                opt_set = set2
+                opt_j = j
+                opt_pvalue = pvalue
+
+            pvalue_two = hyperTestPvalue(N, len(set1), len(set2), len(inter), twoends=True)
+            if pvalue>pvalue_two and pvalue_two<0.01:
+                if not set1.issubset(set2) and not set2.issubset(set1):
+                    if i<j:
+                        label = str("%.6f" % pvalue_two)
+                        tls.append('\t' + str(i) + " -> " + str(j) + ' [label="'+str(label)+'",color=red,dir=none];'+'\n')
+        if opt_pvalue < 0.01:
+            label = str("%.6f" % opt_pvalue)
+            if set1.issubset(opt_set):
+                tls.append('\t' + str(i) + "->" + str(opt_j) + ' [label="'+label+'",color=blue];'+'\n')
+            else:
+                tls.append('\t' + str(i) + "->" + str(opt_j) + ' [label="'+label+'",color=black];'+'\n')
+    tls.append("}\n")
+
+    output_fh = open(analysis_comp_dir + drug_name + "/graph_pvalues.dot", "w")
+    for tl in tls:
+        output_fh.write(tl);
+    output_fh.close()
+
+    input_fn = os.path.relpath(analysis_comp_dir + drug_name + "/graph_pvalues.dot")
+    output_fn = os.path.relpath(analysis_comp_dir + drug_name + "/graph_pvalues.pdf")
+
+    os.system("dot -Tpdf "+input_fn + " -o " + output_fn)
+
+    return drug_name
+    
+if __name__ == '__main__':
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = 1#min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_dir = parameters["RESULTS_ANALYSIS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_DIR"]
+    analysis_comp_dir = parameters["RESULTS_A_COMP_S_DIR"]
+    
+    ensure_dir(analysis_dir)
+    ensure_dir(analysis_comb_dir)
+    ensure_dir(analysis_comp_dir)
+
+    TASKS = []
+    TASK = {}
+    
+    input_fn = results_dir + "/res_profiles.txt"
+    input_fh = open(input_fn)
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    
+    for drug_name in drug_names:
+        TASK["DRUG_NAME"] = drug_name
+        TASKS.append(TASK.copy())
+
+    progress = GWAMARProgress("Combined")
+    progress.setJobsCount(len(TASKS))
+        
+    if WORKERS > 1:
+        pool = Pool(processes=WORKERS)
+        for r in pool.imap(saveScoresCombined, TASKS):
+            progress.update(str(r))
+    else:
+        for T in TASKS:
+            r = saveScoresCombined(T)
+            progress.update(str(r))
+
diff --git a/src/drsoft/format_input/__init__.py b/src/drsoft/format_input/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/drsoft/format_input/generate_geo_trees.py b/src/drsoft/format_input/generate_geo_trees.py
new file mode 100644
index 0000000..7c661c5
--- /dev/null
+++ b/src/drsoft/format_input/generate_geo_trees.py
@@ -0,0 +1,134 @@
+import sys
+import os
+import copy
+from multiprocessing import Pool
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import *
+from drsoft.utils.gwamar_res_io_utils import saveResistanceProfiles
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.structs.resistance_profile import ResistanceProfile
+
+
+def loadGeoData(input_fh):
+    geo_data_map = {}
+
+    lines = input_fh.readlines()
+    for line in lines:
+        line = line.strip()
+        if line.startswith("#") or len(line) < 2:
+            continue
+        tokens = line.split("\t")
+        if len(tokens) < 1: continue
+        elif len(tokens) in [1,2]:
+            strain_id = tokens[0]
+            country = "Unknown"
+            continent = "Unknown"
+        else:
+            strain_id = tokens[0]
+            country = tokens[1]
+            continent = tokens[2]
+        geo_data_map[strain_id]= (country, continent)
+    return geo_data_map
+        
+# def drugsList(res_data):
+#     drugs_map = {}
+#     for (strain_id, drug_name) in res_data:
+#         if not drug_name in drugs_map:
+#             drugs_map[drug_name] = 0
+#         drugs_map[drug_name] += 1
+#     drugs_list = sorted(drugs_map, key=lambda drug_name:-drugs_map[drug_name])
+#     return drugs_list
+
+# def strainsList(res_data):
+#     strains_set = set([])
+#     for (strain_id, drug_name) in res_data:
+#         strains_set.add(strain_id)
+#     strains_list = sorted(strains_set)
+#     return strains_list
+
+bgcolor_map = {
+    "Asia":"red",
+    "Europe":"green",
+    "North America": "yellow",
+    "Central America": "blue",
+    "South America": "orange",
+    "Australia": "pink",
+    "Africa": "purple"
+    }
+
+def generateGeoTrees(output_fh, tree, geo_data):
+    tls = []
+
+    color_map = {}
+
+
+    tls.append("digraph "+ "G" + " {\n")
+
+    tree.calcInnerNodesBU()
+
+    for node in tree.nodes.values():
+
+        if node.is_leaf():
+            country, continent = geo_data.get(node.label, ("",""))
+            print(country, continent)
+            color ="black"
+            bgcolor = bgcolor_map.get(continent, "gray")
+        else:
+            color = "black"
+            bgcolor = "white"
+
+
+        pdf_label_tmp = str(node.label).replace("_", "").replace("-","")
+        if pdf_label_tmp[0] in ["0","1","2","3","4","5","6","7","8","9"]:
+            pdf_label = "n"+pdf_label_tmp
+        else: pdf_label = pdf_label_tmp            
+        tls.append(str(node.node_id) + " [label="+pdf_label+",style=filled,color="+color+",fillcolor=" + bgcolor + "];\n")
+
+    for node in tree.inner_nodes_bu: 
+        for node_c in node.children:
+            tls.append(str(node.node_id) + "->" + str(node_c.node_id) + ";\n")
+
+    tls.append("}\n")
+
+    for tl in tls:
+        output_fh.write(tl + "\n")
+    return None
+
+if __name__ == '__main__':
+    dataset = "mtu"
+    tree_ids= ["t1", "t2","tPHYLIP","tPHYML","tRAXML"]
+
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    gwamar_dir = parameters["GWAMAR_PATH"]
+    input_dir = parameters["GEO_DATA"] + dataset + "/"
+
+    print("xxx")
+    input_fh = open(input_dir + "/geo-data.txt")
+    geo_data = loadGeoData(input_fh)
+    input_fh.close()
+    print("yyy")
+
+    for tree_id in tree_ids:
+
+        input_fn = input_dir + "/"+tree_id+".txt"
+        if not os.path.exists(input_fn):
+            continue
+        input_fh = open(input_fn)
+        trees = readPhyloTrees(input_fh)
+        input_fh.close()
+
+        tree = trees[0]
+
+        output_dot_fn = input_dir + "/geo-tree-"+tree_id+".dot"
+        output_pdf_fn = os.path.relpath(input_dir + "/geo-tree-"+ tree_id+ ".pdf")
+        
+        output_fh = open(output_dot_fn, "w")
+        generateGeoTrees(output_fh, tree, geo_data)
+        output_fh.close()
+
+        os.system("dot -Tpdf " + output_dot_fn + " -o " + output_pdf_fn)
diff --git a/src/drsoft/format_input/generate_latex_data.py b/src/drsoft/format_input/generate_latex_data.py
new file mode 100644
index 0000000..f20fd0f
--- /dev/null
+++ b/src/drsoft/format_input/generate_latex_data.py
@@ -0,0 +1,254 @@
+import sys
+import os
+import copy
+from multiprocessing import Pool
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_res_io_utils import saveResistanceProfiles
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.structs.resistance_profile import ResistanceProfile
+
+
+def loadResData(input_fh):
+    res_data_map = {}
+    citation = ""
+
+    lines = input_fh.readlines()
+    for line in lines:
+        line = line.strip()
+        if line.startswith("#") or len(line) < 2:
+            continue
+        tokens = line.split("\t")
+   #     print(tokens)
+        if len(tokens) < 1: continue
+        elif len(tokens) <= 2:
+            if len(line) < 40:
+                print("citation", line)
+            citation = tokens[0]
+        else:
+            drug_name = tokens[0]
+            strain_id = tokens[1]
+            res_info = tokens[2]
+
+            if not (strain_id, drug_name) in res_data_map:
+                res_data_map[(strain_id, drug_name)] = set([])
+            res_data_map[(strain_id, drug_name)].add((res_info, citation))
+            
+    #print("xxx", res_data_map)
+    return res_data_map
+
+def generateLatexHeader():
+    tls = []
+    tls.append("\\documentclass[10pt]{article}")
+    tls.append("\\usepackage{amsmath}")
+    tls.append("\\usepackage{amssymb}")
+    tls.append("\\usepackage{graphicx}")
+    tls.append("\\usepackage[table]{xcolor}")
+    tls.append("\\usepackage{cite}")
+    tls.append("\\usepackage{color} ")
+    if dataset == "sau":
+        tls.append("\\usepackage[margin=1in, paperwidth=108in, paperheight=45in]{geometry}")
+        tls.append("\\textwidth 30in ")
+        tls.append("\\textheight 42in")
+    elif dataset == "mtu":
+        tls.append("\\usepackage[margin=1in, paperwidth=16in, paperheight=37in]{geometry}")
+        tls.append("\\textwidth 13in ")
+        tls.append("\\textheight 34in")    
+    elif dataset == "spn":
+        tls.append("\\usepackage[margin=1in, paperwidth=25in, paperheight=15in]{geometry}")
+        tls.append("\\textwidth 22in ")
+        tls.append("\\textheight 13in")
+
+    tls.append("\\topmargin 0.0cm")
+    tls.append("\\oddsidemargin 0.5cm")
+    tls.append("\\evensidemargin 0.5cm")
+    tls.append("\\usepackage[labelfont=bf,labelsep=period,justification=raggedright]{caption}")
+    tls.append("\\makeatletter")
+    tls.append("\\renewcommand{\\@biblabel}[1]{\\quad#1.}")
+    tls.append("\\makeatother")
+    tls.append("\\date{}")
+    tls.append("\\pagestyle{myheadings}")
+    tls.append("\\begin{document}")
+    return tls
+
+def generateLatexBottom():
+    tls = []
+    tls.append("\\small")
+    if dataset == "sau":
+        tls.append("\\section*{Comments}")
+        tls.append("\\begin{itemize}")
+        tls.append("\\item legend: red: drug resistant; green: drug susceptible; yellow: intermediate drug resistant; gray: contrary information of no CLSI interpretation; white: not information is found,")
+        tls.append("\\item drug susceptibility information for the strain TW20 was confirmed by e-mail correspondence with the authors of \\cite{edgeworth_outbreak_2007}")
+        tls.append("\\item drug susceptibility information for the strain ST398 was confirmed by e-mail correspondence with the authors of \\cite{schijffelen_whole_2010}")
+        tls.append("\\item accordingly to \\cite{herron-olson_molecular_2007} 'ET3-1 (RF122) is susceptible to most antibiotics, excluding Spectinomycin',")
+        tls.append("according to \\cite{mwangi_tracking_2007} JH1 is susceptible to Rifampicin, with MIC 0.012 $\\mu g/ml$. We use information from \\cite{mwangi_tracking_2007}, treating it as more reliable, because this study is newer and provides the exact MIC value.")
+        tls.append("\\end{itemize}")
+    tls.append("\\bibliography{references}")
+    tls.append("\\bibliographystyle{plain}")
+    tls.append("\\end{document}")
+    return tls
+
+def determineResistance(res_data_infos):
+    res_count = 0
+    susc_count = 0
+    int_count = 0
+    unk_count = 0
+    for (res_info, cite_info) in res_data_infos:
+        tokens = res_info.split(":")
+        if tokens[0] == "R":
+            res_count += 1 
+        elif tokens[0] == "S":
+            susc_count += 1
+        elif tokens[0] == "I":
+            int_count += 1
+        elif tokens[0] == "U":
+            unk_count += 1
+    if res_count > 0 and susc_count == 0:
+        return "R"
+    elif res_count == 0 and susc_count > 0:
+        return "S"
+    elif res_count > 0 and susc_count > 0:
+        return "?"
+    elif int_count >0:
+        return "I"
+    elif unk_count > 0:
+        return "?"
+    else:
+        return "?"
+    return "?"
+
+
+def determineCellColor(res_data_infos):
+    color = "white"
+    res_count = 0
+    susc_count = 0
+    int_count = 0
+    unk_count = 0
+    for (res_info, cite_info) in res_data_infos:
+        tokens = res_info.split(":")
+        if tokens[0] == "R":
+            res_count += 1 
+        elif tokens[0] == "S":
+            susc_count += 1
+        elif tokens[0] == "I":
+            int_count += 1
+        elif tokens[0] == "U":
+            unk_count += 1
+    if res_count > 0 and susc_count == 0:
+        color = "red"
+    elif res_count == 0 and susc_count > 0:
+        color = "green"
+    elif res_count > 0 and susc_count > 0:
+        color = "gray"
+    elif int_count >0:
+        color = "yellow"
+    elif unk_count > 0:
+        color = "gray"
+    else:
+        color = "white"
+    return color
+        
+def drugsList(res_data):
+    drugs_map_susc = {}
+    drugs_map_res_int = {}
+
+    for (strain_id, drug_name) in res_data:
+        res_status = determineResistance(res_data[(strain_id, drug_name)])
+        if res_status == "R" or res_status == "I":
+            if not drug_name in drugs_map_res_int:
+                drugs_map_res_int[drug_name] = 0
+            drugs_map_res_int[drug_name] += 1
+        elif res_status == "S":
+            if not drug_name in drugs_map_susc:
+                drugs_map_susc[drug_name] = 0
+            drugs_map_susc[drug_name] += 1
+
+    drugs_set = set(drugs_map_susc.keys()) | set(drugs_map_res_int.keys())
+    drugs_list = sorted(drugs_set, key=lambda drug_name:-min(drugs_map_susc.get(drug_name,0), drugs_map_res_int.get(drug_name,0)))
+    return drugs_list
+
+def strainsList(res_data):
+    strains_set = set([])
+    for (strain_id, drug_name) in res_data:
+        strains_set.add(strain_id)
+    strains_list = sorted(strains_set)
+    return strains_list
+
+def generateDataTable(res_data):
+    tls = []
+
+    drugs_list = drugsList(res_data)
+    strains_list = strainsList(res_data)
+
+    #Ciprofloxacin\tprint(drugs_list)
+    #print(strains_list)
+
+    k = len(drugs_list)
+    n = len(strains_list)
+
+    tls.append("\\begin{table}[!ht]")
+    tls.append("\\caption{\\bf{Complete collected data on drug resistance.}}")
+    
+    tls.append("\\begin{tabular}{|" + ''.join(["c|"]*(k+1)) + "}\\hline")
+    tl = "Strain"
+    for drug_name in drugs_list: 
+        tl += " & " + drug_name
+    tl += "\\\\ \\hline"
+    tls.append(tl)
+
+    for strain_id in strains_list:
+        tl = ""
+        strain_name = strain_id.replace("_", " ")
+        tl += strain_name
+
+        for drug_name in drugs_list:
+            tl += " & "
+            res_data_infos = res_data.get((strain_id, drug_name), [])
+            color = determineCellColor(res_data_infos)
+            for (res_info, cite_info) in res_data_infos:
+                cite_info_tex = cite_info
+                res_info_tex = res_info.replace("<=", "\leq")
+                res_info_tex = res_info_tex.replace("=<", "\leq")
+                res_info_tex = res_info_tex.replace(">=", "\geq")
+                res_info_tex = res_info_tex.replace("=>", "\geq")
+                tl += "$"+res_info_tex+"$"
+                tl += "\cite{"+cite_info_tex+"}"
+                if color != "white":
+                    tl += "\cellcolor{"+color+"}"
+        tl += "\\\\ \\hline"
+        tls.append(tl)
+    tls.append("\\end{tabular}")
+    tls.append("\\end{table}")
+    return tls
+
+def generateLatexFile(output_fh, res_data):
+    tls = []
+    tls += generateLatexHeader()
+    tls += generateDataTable(res_data)
+    tls += generateLatexBottom()
+    print(len(tls))
+    for tl in tls:
+        output_fh.write(tl + "\n")
+    return None
+
+if __name__ == '__main__':
+
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    gwamar_dir = parameters["GWAMAR_PATH"]
+    for dataset in ["spn", "mtu", "sau"]:
+        input_dir = parameters["RES_DATA"] + dataset + "/"
+
+        print("xxx")
+        input_fh = open(input_dir + "/res-data.txt")
+        res_data = loadResData(input_fh)
+        input_fh.close()
+        print("yyy")
+
+        output_fh = open(input_dir + "/data-res.tex", "w")
+        generateLatexFile(output_fh, res_data)
+        output_fh.close()
+        print("zzz")
diff --git a/src/drsoft/format_input/generate_res_data.py b/src/drsoft/format_input/generate_res_data.py
new file mode 100644
index 0000000..9c15610
--- /dev/null
+++ b/src/drsoft/format_input/generate_res_data.py
@@ -0,0 +1,115 @@
+import sys
+import os
+import copy
+from multiprocessing import Pool
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_res_io_utils import saveResistanceProfiles
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.structs.resistance_profile import ResistanceProfile
+
+
+def loadGeoData(input_fh):
+    geo_data_map = {}
+
+    lines = input_fh.readlines()
+    for line in lines:
+        print(line)
+        line = line.strip()
+        if line.startswith("#") or len(line) < 2:
+            continue
+        tokens = line.split("\t")
+
+        if len(tokens) < 1: continue
+        elif len(tokens) in [1,2]:
+            country = "Unknown"
+            continent = "Unknown"
+        else:
+            strain_id = tokens[1]
+            country = tokens[1]
+            continuent = tokens[2]
+            geo_data_map[strain_id]= (country, continent)
+    return geo_data_map
+        
+# def drugsList(res_data):
+#     drugs_map = {}
+#     for (strain_id, drug_name) in res_data:
+#         if not drug_name in drugs_map:
+#             drugs_map[drug_name] = 0
+#         drugs_map[drug_name] += 1
+#     drugs_list = sorted(drugs_map, key=lambda drug_name:-drugs_map[drug_name])
+#     return drugs_list
+
+# def strainsList(res_data):
+#     strains_set = set([])
+#     for (strain_id, drug_name) in res_data:
+#         strains_set.add(strain_id)
+#     strains_list = sorted(strains_set)
+#     return strains_list
+
+
+# def generateResData(output_fh, res_data):
+#     tls = []
+
+#     drugs_list = drugsList(res_data)
+#     strains_list = strainsList(res_data)
+
+#     k = len(drugs_list)
+#     n = len(strains_list)
+
+#     for drug_name in drugs_list:
+#         tl = drug_name + "\t"
+
+#         strains_res = []
+#         strains_int = []
+#         strains_susc = []
+
+#         for strain_id in strains_list:
+#             res_data_infos = res_data.get((strain_id, drug_name), [])
+#             res_status = determineResistance(res_data_infos)
+#             if res_status == "R": strains_res.append(strain_id)
+#             elif res_status == "I": strains_int.append(strain_id)
+#             elif res_status == "S": strains_susc.append(strain_id)
+
+#         for strain_id in sorted(strains_res): tl += strain_id + ";"
+#         if len(strains_res) > 0: tl = tl[:-1] + "\t"
+#         else: tl = tl + "\t"
+
+#         for strain_id in sorted(strains_susc): tl += strain_id + ";"
+#         if len(strains_susc) > 0: tl = tl[:-1] + "\t"
+#         else: tl = tl + "\t"
+
+#         for strain_id in sorted(strains_int): tl += strain_id + ";"
+#         if len(strains_int) > 0: tl = tl[:-1]
+#         else: tl = tl
+
+#         if len(strains_res) > 5 and len(strains_susc) > 5:
+#             tls.append(tl)
+
+#     for tl in tls:
+#         output_fh.write(tl + "\n")
+#     return None
+
+if __name__ == '__main__':
+    dataset = "mtu"
+    tree_ids= ["t1"]
+
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    gwamar_dir = parameters["GWAMAR_PATH"]
+    input_dir = parameters["RES_DATA"] + dataset + "/"
+
+    print("xxx")
+    input_fh = open(input_dir + "/res-data.txt")
+    geo_data = loadGeoData(input_fh)
+    input_fh.close()
+    print("yyy")
+
+    for tree_id in tree_ids:
+        output_fh = open(input_dir + "/geo-tree-"+tree_id+".dot", "w")
+        generateGeoTrees(output_fh, res_data)
+        output_fh.close()
+        print("zzz")
diff --git a/src/drsoft/format_input/generate_res_trees.py b/src/drsoft/format_input/generate_res_trees.py
new file mode 100644
index 0000000..117786d
--- /dev/null
+++ b/src/drsoft/format_input/generate_res_trees.py
@@ -0,0 +1,148 @@
+import sys
+import os
+import copy
+from multiprocessing import Pool
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_res_io_utils import saveResistanceProfiles
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.structs.resistance_profile import ResistanceProfile
+
+
+def loadResData(input_fh):
+    res_data_map = {}
+    citation = ""
+
+    lines = input_fh.readlines()
+    for line in lines:
+        line = line.strip()
+        if line.startswith("#") or len(line) < 2:
+            continue
+        tokens = line.split("\t")
+   #     print(tokens)
+        if len(tokens) < 1: continue
+        elif len(tokens) <= 2:
+            if len(line) < 40:
+                print("citation", line)
+            citation = tokens[0]
+        else:
+            drug_name = tokens[0]
+            strain_id = tokens[1]
+            res_info = tokens[2]
+
+            if not (strain_id, drug_name) in res_data_map:
+                res_data_map[(strain_id, drug_name)] = set([])
+            res_data_map[(strain_id, drug_name)].add((res_info, citation))
+            
+    #print("xxx", res_data_map)
+    return res_data_map
+        
+def drugsList(res_data):
+    drugs_map = {}
+    for (strain_id, drug_name) in res_data:
+        if not drug_name in drugs_map:
+            drugs_map[drug_name] = 0
+        drugs_map[drug_name] += 1
+    drugs_list = sorted(drugs_map, key=lambda drug_name:-drugs_map[drug_name])
+    return drugs_list
+
+def strainsList(res_data):
+    strains_set = set([])
+    for (strain_id, drug_name) in res_data:
+        strains_set.add(strain_id)
+    strains_list = sorted(strains_set)
+    return strains_list
+
+def determineResistance(res_data_infos):
+    res_count = 0
+    susc_count = 0
+    int_count = 0
+    unk_count = 0
+    for (res_info, cite_info) in res_data_infos:
+        tokens = res_info.split(":")
+        if tokens[0] == "R":
+            res_count += 1 
+        elif tokens[0] == "S":
+            susc_count += 1
+        elif tokens[0] == "I":
+            int_count += 1
+        elif tokens[0] == "U":
+            unk_count += 1
+    if res_count > 0 and susc_count == 0:
+        return "R"
+    elif res_count == 0 and susc_count > 0:
+        return "S"
+    elif res_count > 0 and susc_count > 0:
+        return "?"
+    elif int_count >0:
+        return "I"
+    elif unk_count > 0:
+        return "?"
+    else:
+        return "?"
+    return "?"
+
+
+def generateResData(output_fh, res_data):
+    tls = []
+
+    drugs_list = drugsList(res_data)
+    strains_list = strainsList(res_data)
+
+    k = len(drugs_list)
+    n = len(strains_list)
+
+    for drug_name in drugs_list:
+        tl = drug_name + "\t"
+
+        strains_res = []
+        strains_int = []
+        strains_susc = []
+
+        for strain_id in strains_list:
+            res_data_infos = res_data.get((strain_id, drug_name), [])
+            res_status = determineResistance(res_data_infos)
+            if res_status == "R": strains_res.append(strain_id)
+            elif res_status == "I": strains_int.append(strain_id)
+            elif res_status == "S": strains_susc.append(strain_id)
+
+        for strain_id in sorted(strains_res): tl += strain_id + ";"
+        if len(strains_res) > 0: tl = tl[:-1] + "\t"
+        else: tl = tl + "\t"
+
+        for strain_id in sorted(strains_susc): tl += strain_id + ";"
+        if len(strains_susc) > 0: tl = tl[:-1] + "\t"
+        else: tl = tl + "\t"
+
+        for strain_id in sorted(strains_int): tl += strain_id + ";"
+        if len(strains_int) > 0: tl = tl[:-1]
+        else: tl = tl
+
+        if len(strains_res) > 5 and len(strains_susc) > 5:
+            tls.append(tl)
+
+    for tl in tls:
+        output_fh.write(tl + "\n")
+    return None
+
+if __name__ == '__main__':
+    dataset = "spn"
+
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    gwamar_dir = parameters["GWAMAR_PATH"]
+    input_dir = parameters["RES_DATA"] + dataset + "/"
+
+    print("xxx")
+    input_fh = open(input_dir + "/res-data.txt")
+    res_data = loadResData(input_fh)
+    input_fh.close()
+    print("yyy")
+
+    output_fh = open(input_dir + "/res_profiles_ret.txt", "w")
+    generateResData(output_fh, res_data)
+    output_fh.close()
+    print("zzz")
diff --git a/src/drsoft/format_input/show1_save_mutatinos.py b/src/drsoft/format_input/show1_save_mutatinos.py
new file mode 100644
index 0000000..8b1cb2d
--- /dev/null
+++ b/src/drsoft/format_input/show1_save_mutatinos.py
@@ -0,0 +1,146 @@
+import sys
+import os
+import copy
+import random
+from multiprocessing import Pool
+from ete2 import Tree
+from ete2 import PhyloTree
+from ete2.treeview.main import TreeStyle, NodeStyle, TreeStyle
+from ete2 import faces, layouts
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.modelling.model_logic import *
+
+def showTreeMutations(params):
+    
+    drug_name = params["DRUG_NAME"]
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_sel_dir = parameters["RESULTS_A_COMB_S_SEL_DIR"]
+    
+    input_fh = open(input_dir + "strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+    
+    input_fh = open(input_dir + "res_profiles.txt")
+    res_profiles_list = readResistanceProfiles(input_fh, load_int=True)
+    input_fh.close()
+    
+    ensure_dir(input_dir + "/res_muts/")
+    
+    input_fh = open(results_dir + 'phylo_tree.txt')
+    trees = readPhyloTrees(input_fh, strains)
+    input_fh.close()
+    
+    tree = trees[0]
+
+    res_profile = None
+    for res_profile_tmp in res_profiles_list:
+        if res_profile_tmp.drug_name == drug_name:
+            res_profile = res_profile_tmp
+    
+    full_profile = res_profile.full_profile
+    tree.setObservedResProfile(full_profile)
+    tree.calcInnerNodesBU()
+    calcSubleavesResCount(tree)
+    calcSubnodesCount(tree)
+    
+    newtree = removeUnResLeaves(tree)
+    newtree.calcInnerNodesBU()
+    calcSubleavesResCount(newtree)
+    calcSubnodesCount(newtree)
+    calcDetParsResModel(newtree)
+    
+    tls = []
+    
+    tl = ""
+    for node in newtree.inner_nodes_bu + newtree.leaves:
+        if node.complete_res_state == "R" and node.parent.complete_res_state == "S":
+            for leaf_node in node.getLeaves():
+                tl += str(leaf_node.node_id) + ";"
+            tl = tl[:-1] + "\t"
+    tl = tl.strip()
+    tls.append(tl)
+    #tree_txt = newtree.root.toString(lengths = False, is_root=True, strains=strains)
+
+    phylotree = Tree(newtree.toString(strains=strains) + ";")
+    
+    muts = {}
+    mut_id = 1
+    input_fn = analysis_sel_dir + "/" + drug_name + ".txt"
+    input_fh = open(input_fn)
+    for line in input_fh.readlines()[1:]:
+        tokens = line.strip().split()
+        if len(tokens) < 2:
+            continue
+        mut_profile = tokens[0]
+        newtree.setObservedMutProfile(mut_profile)
+        calcSubleavesMutCount(newtree)
+        calcDetParsMutModel(newtree)
+
+        tl = ""
+        for node in newtree.inner_nodes_bu + newtree.leaves:
+            if not node.complete_mut_state in ["0", "?"] and node.parent!=None and node.parent.complete_mut_state == "0":
+                for leaf_node in node.getLeaves():
+                    tl += str(leaf_node.node_id) + ";"
+                tl = tl[:-1] + "\t"
+        tl = tl.strip()
+        tls.append(tl)
+        mut_id += 1
+        if mut_id >= 10: break
+    input_fh.close()
+
+    output_fn = results_dir + "/trees_data/" + drug_name + ".txt"
+    output_fh = open(output_fn, "w")
+    
+    for tl in tls:
+        output_fh.write(tl + "\n")
+    output_fh.close()
+    
+    return None
+
+    
+if __name__ == '__main__':
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+        
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    ensure_dir(results_dir + "/trees_data/")
+        
+    input_fh = open(input_dir + "res_profiles.txt")
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    
+    WORKERS = 1#int(parameters["W"])
+
+    TASKS = []
+    
+    TASK = {}
+    count = 0
+
+    for drug_name in drug_names:
+        TASK["DRUG_NAME"] = drug_name
+        TASKS.append(TASK.copy())
+                                                  #  scoreDrug(TASK)
+    for TASK in TASKS:
+        print(TASK)
+    if WORKERS > 1:                               
+        pool = Pool(processes=WORKERS)   
+        for r in pool.imap(showTreeMutations, TASKS):
+            print(r)
+    else:
+        for T in TASKS:
+            showTreeMutations(T)
+
diff --git a/src/drsoft/format_input/show2_mutations_tree.py b/src/drsoft/format_input/show2_mutations_tree.py
new file mode 100644
index 0000000..b0a8687
--- /dev/null
+++ b/src/drsoft/format_input/show2_mutations_tree.py
@@ -0,0 +1,211 @@
+import sys
+import os
+import copy
+import random
+from multiprocessing import Pool
+from ete2 import Tree
+from ete2 import PhyloTree, TreeNode, TreeFace
+from ete2.treeview.main import TreeStyle, NodeStyle, TreeStyle
+from ete2 import faces, layouts
+from drsoft.utils.gwamar_progress_utils import GWADRIBProgress
+from idlelib.ColorDelegator import prog
+
+print(os.path.abspath(os.curdir))
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.modelling.model_logic import *
+
+mut_faces_map = {}
+img_path = "./"
+
+for i in range(1, 11, 1):
+    mut_fn = os.path.abspath("../../resources/muts/m"+str(i)+".png")
+    
+    if not os.path.exists(mut_fn):
+        print("not exists: ", mut_fn)
+    mut_faces_map[i] = faces.ImgFace(mut_fn)
+    
+print(mut_faces_map)
+
+resstyle = NodeStyle()
+resstyle["fgcolor"] = "#ffbeb1"
+resstyle["bgcolor"] = "#ffbeb1"
+
+suscstyle = NodeStyle()
+suscstyle["fgcolor"] = "lightgreen"
+suscstyle["bgcolor"] = "lightgreen"
+
+interstyle = NodeStyle()
+interstyle["fgcolor"] = "yellow"
+interstyle["bgcolor"] = "yellow"
+
+nodes_face_map = {}
+
+def mylayout(node):
+    global nodes_face_map, mut_faces_map
+    if node.is_leaf():
+        descFace = faces.TextFace(node.name, fsize=10)
+        descFace.margin_top = 10
+        descFace.margin_bottom = 10
+        descFace.border.margin = 1
+        faces.add_face_to_node(descFace, node, column=1, aligned=True)
+    
+    node_hash = str(node)
+    if not node_hash in nodes_face_map:
+        pass
+    else:
+        for mut_id in sorted(nodes_face_map[node_hash]):
+            faces.add_face_to_node(mut_faces_map[mut_id], node, 0)
+
+    
+def showTreeMutations(params):
+    global nodes_face_map
+    drug_name = params["DRUG_NAME"]
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    
+    input_fh = open(input_dir + "strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+    
+    input_fh = open(input_dir + "res_profiles.txt")
+    res_profiles_list = readResistanceProfiles(input_fh, load_int=True)
+    input_fh.close()
+    
+    ensure_dir(input_dir + "/res_muts/")
+    
+    input_fh = open(results_dir + 'phylo_tree.txt')
+    trees = readPhyloTrees(input_fh, strains)
+    input_fh.close()
+    
+    tree = trees[0]
+    
+    res_profile = None
+    for res_profile_tmp in res_profiles_list:
+        if res_profile_tmp.drug_name == drug_name:
+            res_profile = res_profile_tmp
+    
+    full_profile = res_profile.full_profile
+    tree.setObservedResProfile(full_profile)
+    tree.calcInnerNodesBU()
+    calcSubleavesResCount(tree)
+    calcSubnodesCount(tree)
+    
+    newtree = removeUnResLeaves(tree)
+    newtree.calcInnerNodesBU()
+    calcSubleavesResCount(newtree)
+    calcSubnodesCount(newtree)
+    calcDetParsResModel(newtree)
+   
+    phylotree = Tree(newtree.toString(strains=strains) + ";")
+    
+    mut_id = 0
+    input_fn = results_dir + "/trees_data/" + drug_name + ".txt"
+    input_fh = open(input_fn)
+    lines = input_fh.readlines()
+    input_fh.close()
+
+    line0 = lines[0]
+    tokens = line0.strip().split()
+    
+    if len(tokens) < 1: exit()
+    for mut_token in tokens:
+        strain_id_tokens = mut_token.split(";")
+        strain_ids = []
+        for strain_index_str in strain_id_tokens:
+            strain_ids.append(strains.getStrain(int(strain_index_str)))
+        nodes_list = []
+        for strain_id in strain_ids:
+            nodes_list.append(phylotree.get_leaves_by_name(strain_id)[0])
+        node0 = nodes_list[0]
+        node = node0.get_common_ancestor(node0)
+        for node1 in nodes_list[1:]:
+            node = node.get_common_ancestor(node1)
+        if phylotree.get_tree_root() == node:
+            nodes_list = phylotree.get_leaves_by_name(strain_ids[0])
+            for node in nodes_list:
+                node.set_style(resstyle)
+        else:
+            node.set_style(resstyle)  
+            #node.add_face(mut_faces_map[mut_id], 0)
+    
+    nodes_face_map = {}
+    
+    for line in lines[1:]:
+        mut_id += 1
+        if mut_id > 10:
+            break
+        tokens = line.strip().split()
+        if len(tokens) < 1: continue
+        for mut_token in tokens:
+            strain_id_tokens = mut_token.split(";")
+            strain_ids = []
+            for strain_index_str in strain_id_tokens:
+                strain_ids.append(strains.getStrain(int(strain_index_str)))
+            nodes_list = []
+            for strain_id in strain_ids:
+                nodes_list.append(phylotree.get_leaves_by_name(strain_id)[0])
+            node0 = nodes_list[0]
+            node = node0.get_common_ancestor(node0)
+            for node1 in nodes_list[1:]:
+                node = node.get_common_ancestor(node1)
+            hash_node = str(node)
+            if not hash_node in nodes_face_map:
+                nodes_face_map[hash_node] = set([])
+            nodes_face_map[hash_node].add(mut_id)
+        
+    ts = TreeStyle()
+    ts.show_leaf_name = False
+    ts.layout_fn = mylayout
+    ts.mode = "c"
+    phylotree.render(results_dir +"/trees_muts_pdf/"+drug_name + ".pdf", tree_style=ts)
+    #phylotree.show(tree_style=ts)
+    
+    return None
+
+    
+if __name__ == '__main__':
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+        
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+        
+    ensure_dir(results_dir +"/trees_muts_pdf/")
+    
+    input_fh = open(input_dir + "res_profiles.txt")
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    
+    WORKERS = 1#int(parameters["W"])
+
+    TASKS = []
+    
+    TASK = {}
+    count = 0
+
+    for drug_name in drug_names:
+        TASK["DRUG_NAME"] = drug_name
+        TASKS.append(TASK.copy())
+                                                  #  scoreDrug(TASK)
+    progress = GWADRIBProgress("PDF")
+    progress.setJobsCount(len(TASKS))
+    if WORKERS > 1:                               
+        pool = Pool(processes=WORKERS)   
+        for r in pool.imap(showTreeMutations, TASKS):
+            progress.update(str(r))
+    else:
+        for T in TASKS:
+            r = showTreeMutations(T)
+            progress.update(str(r))
+
diff --git a/src/drsoft/format_input/show3_resistance_tree.py b/src/drsoft/format_input/show3_resistance_tree.py
new file mode 100644
index 0000000..9715f0a
--- /dev/null
+++ b/src/drsoft/format_input/show3_resistance_tree.py
@@ -0,0 +1,102 @@
+import sys
+import os
+import copy
+from ete2 import Tree
+from ete2 import PhyloTree
+from ete2.treeview.main import TreeStyle, NodeStyle, TreeStyle
+from multiprocessing import Pool
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_res_io_utils import readResistanceProfiles
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.modelling.model_logic import *
+
+nstyle = NodeStyle()
+#nstyle["shape"] = "sphere"
+nstyle["size"] = 10
+nstyle["fgcolor"] = "black"
+
+resstyle = NodeStyle()
+#resstyle["shape"] = "sphere"
+resstyle["size"] = 20
+resstyle["fgcolor"] = "red"
+
+suscstyle = NodeStyle()
+#nstyle["shape"] = "sphere"
+suscstyle["size"] = 20
+suscstyle["fgcolor"] = "green"
+
+interstyle = NodeStyle()
+#nstyle["shape"] = "sphere"
+interstyle["size"] = 20
+interstyle["fgcolor"] = "yellow"
+
+
+if __name__ == '__main__':
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+
+    input_fh = open(input_dir + "strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+
+    input_fh = open(input_dir + "res_profiles.txt")
+    res_profiles_list = readResistanceProfiles(input_fh, load_int=True)
+    input_fh.close()
+    
+    ensure_dir(input_dir + "/res_trees/")
+    
+    input_fh = open(results_dir + 'phylo_tree.txt')
+    trees = readPhyloTrees(input_fh, strains)
+    input_fh.close()
+   
+    tree = trees[0]
+   
+    for res_profile in res_profiles_list:
+        drug_name = res_profile.drug_name
+
+        full_profile = res_profile.full_profile
+        print(full_profile)
+        tree.setObservedResProfile(full_profile)
+        tree.calcInnerNodesBU()
+        calcSubleavesResCount(tree)
+        calcSubnodesCount(tree)
+        
+        newtree = removeUnResLeaves(tree)
+        newtree.calcInnerNodesBU()
+        calcSubleavesResCount(newtree)
+        calcSubnodesCount(newtree)
+        calcDetParsResModel(newtree)
+        
+        tree_txt = newtree.root.toString(lengths = False, is_root=True, strains=strains)
+            
+        genetree = Tree(tree_txt + ";")
+    
+        for node in genetree.traverse():
+            node.set_style(nstyle)
+    
+        for i in range(len(full_profile)):
+            strain_id = strains.getStrain(i)
+            state = full_profile[i]
+            if state == "R":
+                for n in genetree.get_leaves_by_name(strain_id):
+                    n.set_style(resstyle)
+            elif state =="S":
+                for n in genetree.get_leaves_by_name(strain_id):
+                    n.set_style(suscstyle)
+            elif state == "I":
+                for n in genetree.get_leaves_by_name(strain_id):
+                    n.set_style(interstyle)
+                    
+
+        genetree.render(input_dir + "/res_trees/"+drug_name+".png", w=600)
+
+    
+    
+    
\ No newline at end of file
diff --git a/src/drsoft/format_input/show4_latex_mutations.py b/src/drsoft/format_input/show4_latex_mutations.py
new file mode 100644
index 0000000..e24d143
--- /dev/null
+++ b/src/drsoft/format_input/show4_latex_mutations.py
@@ -0,0 +1,364 @@
+import sys
+import os
+import copy
+from multiprocessing import Pool
+
+
+
+sys.path.append("../../../../camber2/src/")
+sys.path.append("../../")
+
+from ressoft.utils.file_utils import ensure_dir
+from soft.utils.camber_utils import *
+from ressoft.utils.stats_utils import *
+from ressoft.utils.generator import choose
+from ressoft.utils.pred_utils import *
+from ressoft.utils.input_utils import *
+from ressoft.utils.names_utils import *
+from ressoft.utils.output import *
+from ressoft.modelling.model_logic import *
+
+
+def printLatexTreeScoreNode(gene_profile, drug_res_profile, phylo_tree, node, strains, output_format_fh, strain_names=False):
+    res_state = node.complete_res_state
+    mut_state = node.complete_mut_state
+    if res_state == 'R':
+        res_color = "red"
+    elif res_state == 'S':
+        res_color = "green"
+    else:
+        res_color = "black"
+    if mut_state == '1':
+        mut_color = "orange"
+    elif mut_state == '0':
+        mut_color = "blue"
+    else:
+        mut_color = "black"
+    
+    if node != phylo_tree.root:
+        parent_res_state = node.parent.complete_res_state
+        parent_mut_state = node.parent.complete_mut_state
+        tscore = stable(parent_res_state, res_state, parent_mut_state, mut_state, theta=0.5)
+        if tscore > 0.0:
+            output_format_fh.write("\edge[green] node{"+str(node.e_len)+"};\n")
+        elif tscore < 0.0:
+            output_format_fh.write("\edge[red] node{"+str(node.e_len)+"};\n")
+        else:
+            output_format_fh.write("\edge[black] node{"+str(node.e_len)+"};\n")
+            
+    output_format_fh.write("[."+str(node.tscore)+",")
+    output_format_fh.write("\\textcolor{"+res_color+"}{"+str(res_state)+"},");
+    output_format_fh.write("\\textcolor{"+mut_color+"}{"+str(mut_state)+"}");
+    if len(node.children) == 0:
+        if strain_names:
+            output_format_fh.write("\\\\"+strains.getStrain(node.node_id).replace("_","-"));
+        else:
+            output_format_fh.write("\\\\"+str(node.node_id));
+    else:
+        pass
+    output_format_fh.write("\n")
+    
+    for child_node in node.children:
+        printLatexTreeScoreNode(gene_profile, drug_res_profile, phylo_tree, child_node, strains, output_format_fh, strain_names=True)
+    
+    output_format_fh.write("]\n");
+        
+    return None
+
+def printLatexTreeScore(gene_profile, drug_res_profile, phylo_tree, strains, output_format_fh):
+    output_format_fh.write(gene_profile.gene_id_text + "\n");
+    output_format_fh.write("\\setlength{\\unitlength}{1mm}\n");
+    output_format_fh.write("\\begin{tikzpicture}[level 1/.style={level distance=1.5cm}]\n");
+    output_format_fh.write("\\tikzset{every tree node/.style={align=center,anchor=north}}\n");
+    output_format_fh.write("\\tikzset{edge from parent/.append style={very thick}}\n");
+    output_format_fh.write("\\Tree[\n");
+    printLatexTreeScoreNode(gene_profile, drug_res_profile, phylo_tree, phylo_tree.root, strains, output_format_fh);
+    output_format_fh.write("]\n");
+    output_format_fh.write("\\end{tikzpicture}\n");
+    return None
+
+def drawTrees(drug_res_profile, drug_name, drug_targets, drug_res_genes, tree, all_mutations, gene_presence, strains, output_det_fh=None, output_format_fh=None, parameters=None):
+    species = parameters["SPECIES"]
+    details = parameters["DETAILS"]
+    subset = parameters["SUBSET"]
+    hide = int(parameters["HIDE"])
+    beta = int(parameters["BETA"])
+    pred = parameters["PRED"]
+    dist = int(parameters["DIST"])
+    exp_prefix = parameters["EXP_PREFIX"]
+    grouping_type = parameters["GROUPING"] 
+    m_type = parameters["TYPE"]
+    input_dir = os.path.abspath("../../../data_input/"+species+"_res/")+"/"
+    output_dir = os.path.abspath("../../../data_output/"+species+"_format/")+"/"
+
+    calcRefSatesMutations(all_mutations, drug_res_profile)
+    calcBinSatesMutations(all_mutations, drug_res_profile)
+    con_mutations, neu_mutations, ess_mutations = categorizeMultiMutations(all_mutations, drug_res_profile)
+    imp_mutations = con_mutations + neu_mutations + ess_mutations
+    gene_profiles = geneMutations(imp_mutations)
+    con_gene_profiles = geneMutations(con_mutations)
+    
+    tree.setObservedResProfile(drug_res_profile.full_profile)
+
+    calcSubleavesResCount(tree)
+    calcSubnodesCount(tree)
+    calcDetParsResModel(tree)
+    
+    diffTime("Classification: "+drug_name)
+    calcMutCoverSupports(imp_mutations, drug_res_profile);
+    diffTime("Coverage support: "+drug_name)
+    gene_profiles = groupGeneMutations(gene_profiles, dist, con_gene_profiles, grouping_type)
+    diffTime("Grouping: "+drug_name)
+    computeGeneProfiles(gene_profiles)
+    diffTime("Gene profiles: "+drug_name)
+    computeGeneProfilesEss(gene_profiles)
+    
+    diffTime("Coverage support: "+drug_name)
+    if beta == -1:
+        beta_str = str("%.2f" % float(len(drug_res_profile.getResistant())/float(len(drug_res_profile.getSusceptible()))))
+        beta = float(beta_str)
+        print(drug_name, "NEW BETA: ", beta)
+    
+    diffTime("Gene profiles essentiality: "+drug_name)
+    calcGenesCoverSupports(gene_profiles, drug_res_profile, beta)    
+    tree.calcContributions(drug_res_profile, beta)  
+    calcGenesWeightedSupports(gene_profiles, drug_res_profile, tree, beta)
+    diffTime("Weighted support: "+drug_name)
+    calcOddsRatio(gene_profiles, drug_res_profile)
+    diffTime("Odds ratio: "+drug_name)
+    
+    newtree = removeUnResLeaves(tree)
+    newtree.setObservedResProfile(drug_res_profile.full_profile)
+    
+    
+    print("TREE", newtree.leaves_count, newtree.nodes_count)
+    for i in newtree.leaf_ids:
+        children_ids = ""
+        for child in newtree.nodes[i].children:
+            children_ids += str(child.node_id) + ","
+        if newtree.nodes[i].parent == None:
+            prant_id = "null"
+        else:
+            prant_id = str(newtree.nodes[i].parent.node_id) 
+        print("TREE", i, "-->", children_ids, " | ", prant_id)
+
+    calcSubleavesResCount(newtree)
+    calcSubnodesCount(newtree)
+    calcDetParsResModel(newtree)
+    
+    gene_profiles_sorted = sorted(gene_profiles, key=lambda gp:-gp.wsupport)
+    thr = list(gene_profiles_sorted)[4].wsupport
+
+    count = 0
+    tscore_res_map = {}
+    wsupport_res_map = {}
+
+    for gene_profile in gene_profiles_sorted:
+        count += 1
+        if gene_profile.wsupport < thr:
+            continue
+        key = gene_profile.getFullBinKey()
+        if not key in tscore_res_map:
+            newtree.setObservedMutProfile(gene_profile.bin_profile)
+      
+            calcSubleavesMutCount(newtree)
+            calcDetParsMutModel(newtree)
+            gene_profile.tscore = calcTransitionScore(newtree, 0.5)
+      
+            tscore_res_map[key] = gene_profile.tscore
+            wsupport_res_map[key] = 0.0  
+        else:
+            gene_profile.tscore = tscore_res_map[key]
+            gene_profile.exp_wsupport = wsupport_res_map[key]
+
+        output_format_fn = output_dir +"/latex/"+str(exp_prefix)+"-"+str(hide)+"-"+str(dist)+"-"+grouping_type+"-"+details+"-"+subset+"-"+m_type+"-"+pred+"-"+str(beta)+"-"+drug_name+"_"+str(count)+".tex"
+        output_format_fh = open(output_format_fn, "w")
+        printLatexTreeScore(gene_profile, drug_res_profile, newtree, strains, output_format_fh)
+        output_format_fh.close();
+    return None
+
+
+#     output_format_fh.close()
+
+def scoreDrug(parameters):
+ #   print(drug_name)
+ #   parameters = readParameters(sys.argv)
+    species = parameters["SPECIES"] 
+    subset = parameters["SUBSET"]
+    m_type = (parameters["TYPE"])
+    pred = (parameters["PRED"])
+    drug_name = parameters["DRUG_NAME"]
+
+    phase = 0
+    input_dir = os.path.abspath("../../../data_input/"+species+"_res/")+"/"
+    output_dir = os.path.abspath("../../../data_output/"+species+"_out/")+"/"
+    format_dir = os.path.abspath("../../../data_output/"+species+"_format/")+"/"
+    
+    ensure_dir(format_dir)
+    ensure_dir(format_dir +"/latex/")
+    ensure_dir(output_dir)
+    
+    input_fh = open(input_dir + "strains-all.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+    
+    if pred == "B":
+        input_fn = input_dir + "res_profiles_ret.txt"
+    else:
+        input_fn = input_dir + "pred_res_profiles.txt"
+    input_fh = open(input_fn)
+    res_profiles_list = readResistanceProfiles(input_fh, strains)
+    input_fh.close()
+    
+    res_profiles = {}
+    for res_profile in res_profiles_list:
+        res_profiles[res_profile.drug_name] = res_profile
+    
+    cluster_fh = open(input_dir + "conn_comp-det-"+str(phase)+".txt")
+    clusters, id_cluster_map = readClusters(cluster_fh, strains)
+    cluster_fh.close()
+    
+    anns_fn = input_dir+"names_anns.txt"
+    if os.path.exists(anns_fn):
+        anns_fh = open(anns_fn)
+        names_mapping = readNamesMapping(anns_fh)
+        anns_fh.close()
+    else:
+        names_mapping = None
+    
+    strains_ord_fh = open(input_dir + "names-strains-ord.txt")
+    strains_ord = readStrainNamesOrd(strains_ord_fh)
+    strains_ord_fh.close()
+    
+    input_fh = open(input_dir + "drug_targets.txt")
+    drug_targets = loadDrugTargets(input_fh, clusters, id_cluster_map, strains_ord)
+    input_fh.close()
+    
+    input_fh = open(input_dir + "drug_res_genes.txt")
+    drug_res_genes = loadDrugResGenes(input_fh, clusters, id_cluster_map, strains_ord)
+    input_fh.close()
+
+    input_fh = open(results_dir + 'phylo_tree.txt')
+    tree = readPhyloTree(input_fh, strains)
+    input_fh.close()
+    
+    print("TREE", tree.leaves_count, tree.nodes_count)
+    for i in range(tree.nodes_count):
+        children_ids = ""
+        for child in tree.nodes[i].children:
+            children_ids += str(child.node_id) + ","
+        if tree.nodes[i].parent == None:
+            prant_id = "null"
+        else:
+            prant_id = str(tree.nodes[i].parent.node_id) 
+        print("TREE", i, "-->", children_ids, " | ", prant_id)
+    
+    if subset == "Y":
+        input_fh = open(input_dir + 'subset_imp_genes_neigh.txt')
+        gene_subset = readGeneSubset(input_fh, clusters, id_cluster_map, strains_ord)
+        input_fh.close()
+    else:
+        gene_subset = None
+        
+    input_fh = open(input_dir + 'man-all-mutations-'+str(phase)+'.txt')
+    all_mutations, gene_presence = readMultiMutations(input_fh, strains, clusters=clusters, id_cluster_map=id_cluster_map, strains_ord=strains_ord, names_mapping=names_mapping, gene_subset=gene_subset, m_type=m_type)
+    input_fh.close()
+    
+    print("READ")
+    sys.stdout.flush()
+    
+    imp_mutations = filterMutations(all_mutations, strains)
+    
+    
+    diffTime("FILTERED")
+    drug_res_profile = copy.deepcopy(res_profiles[drug_name])
+    drawTrees(drug_res_profile, drug_name, drug_targets, drug_res_genes, tree, imp_mutations, gene_presence, strains, parameters=parameters)
+    diffTime("EVALUATED")
+    
+    return drug_name
+    
+if __name__ == '__main__':
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    
+    if "W" in parameters:
+        WORKERS = int(parameters["W"])
+    else:
+        WORKERS = 4
+    #species = "sta_plas_184"
+    #species = "mtb68"
+    if "SPECIES" in parameters and parameters["SPECIES"] != "mtb":
+        species = parameters["SPECIES"]
+    else:
+        species = "sta_plas_184"
+    
+    
+    input_dir = os.path.abspath("../../../data_input/"+species+"_res/")+"/"
+    output_dir = os.path.abspath("../../../data_output/"+species+"_out/")+"/"
+    format_dir = os.path.abspath("../../../data_output/"+species+"_format/")+"/"
+    
+    ensure_dir(output_dir)
+    ensure_dir(format_dir)
+    #scripts_dir = "/research/wongls-group/wozniak/scripts_pred/"
+    #scripts_dir = "../../"+species+"-scripts_pred/"
+    #ensure_dir(scripts_dir)
+    
+    cur_dir = os.path.abspath(os.curdir) +"/"
+    
+    hide_params = set(["0"])
+    dist_params = set(["0"])
+    pred_params = set(["A"])
+    beta_params = set(["-1"])
+    grouping_params = set(["B"])
+    details_params = set(["S"])
+    subset_params = set(["N"])
+    type_params = set(["S"])
+    exp_prefix = "FINAL3"
+    
+    input_fh = open(input_dir + "res_profiles_ret.txt")
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    print(drug_names)
+        
+    TASKS = []
+    
+    TASK = {}
+    count = 0
+    for beta_param in beta_params:
+        for pred_param in pred_params:
+            for type_param in type_params:
+                for hide_param in hide_params:
+                    for dist_param in dist_params:
+                        for grouping_param in grouping_params:
+                            for details_param in details_params:
+                                for subset_param in subset_params:
+                                    for drug_name in drug_names:
+                                        if drug_name != "Tetracycline":
+                                            continue
+                                        TASK["SPECIES"] = species
+                                        TASK["PHASE"] = str(0)
+                                        TASK["DETAILS"] = str(details_param)
+                                        TASK["HIDE"] = str(hide_param)
+                                        TASK["SUBSET"] = str(subset_param)
+                                        TASK["DIST"] = str(dist_param)
+                                        TASK["GROUPING"] = str(grouping_param)
+                                        TASK["EXP_PREFIX"] = exp_prefix 
+                                        TASK["TYPE"] = type_param
+                                        TASK["PRED"] = pred_param
+                                        TASK["BETA"] = beta_param 
+                                        TASK["DRUG_NAME"] = drug_name
+                                   #     TASK["TOP"] = parameters["TOP"]
+                                        TASKS.append(TASK.copy())
+  #                                      scoreDrug(TASK)
+
+    for TASK in TASKS:
+        print(TASK)
+                                        
+    pool = Pool(processes=WORKERS)   
+    for r in pool.imap(scoreDrug, TASKS):
+        print(r)
+        
+        
+
diff --git a/src/drsoft/format_input/show5_res_tree_graphviz.py b/src/drsoft/format_input/show5_res_tree_graphviz.py
new file mode 100644
index 0000000..d7cef48
--- /dev/null
+++ b/src/drsoft/format_input/show5_res_tree_graphviz.py
@@ -0,0 +1,99 @@
+import sys
+import os
+import copy
+from multiprocessing import Pool
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_res_io_utils import readResistanceProfiles
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.modelling.model_logic import *
+
+
+if __name__ == '__main__':
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+
+    input_fh = open(input_dir + "strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+
+    strains_list = strains.allStrains()
+
+    input_fh = open(input_dir + "res_profiles.txt")
+    res_profiles_list = readResistanceProfiles(input_fh, load_int=True)
+    input_fh.close()
+    
+    ensure_dir(input_dir + "/res_trees_dots/")
+    ensure_dir(input_dir + "/res_trees_pdfs/")
+
+    input_fh = open(results_dir + 'tree.txt')
+    trees = readPhyloTrees(input_fh, strains_list)
+    input_fh.close()
+   
+    tree = trees[0]
+   
+    for res_profile in res_profiles_list:
+        drug_name = res_profile.drug_name
+
+        tls = []
+        tls.append("digraph "+ "G" + " {\n")
+        full_profile = res_profile.full_profile
+        print(full_profile)
+        tree.setObservedResProfile(full_profile)
+        tree.calcInnerNodesBU()
+        calcSubleavesResCount(tree)
+        calcSubnodesCount(tree)
+        
+        newtree = removeUnResLeaves(tree)
+        newtree.calcInnerNodesBU()
+        calcSubleavesResCount(newtree)
+        calcSubnodesCount(newtree)
+        calcDetParsResModel(newtree)
+
+        for node in newtree.nodes.values():
+            if not node.is_leaf():
+                if node.complete_res_state == "R": color = "red"
+                elif node.complete_res_state == "I": color = "yellow"
+                elif node.complete_res_state == "S": color = "green"
+                else: color = "white"
+                bgcolor = "white"                
+            else:
+                if node.complete_res_state == "R": bgcolor = "red"
+                elif node.complete_res_state == "I": bgcolor = "yellow"
+                elif node.complete_res_state == "S": bgcolor = "green"
+                else: bgcolor = "white"
+                color = "black"
+
+            pdf_label_tmp = str(node.label).replace("_", "").replace("-","")
+            if pdf_label_tmp[0] in ["0","1","2","3","4","5","6","7","8","9"]:
+                pdf_label = "n"+pdf_label_tmp
+            else: pdf_label = pdf_label_tmp            
+            tls.append(str(node.node_id) + " [label="+pdf_label+",style=filled,color="+color+",fillcolor=" + bgcolor + "];\n")
+           # pdf_label_tmp = str(strains_list[node.label]).replace("_", "").replace("-","")
+           # if pdf_label_tmp[0] in ["0","1","2","3","4","5","6","7","8","9"]:
+           #     pdf_label = "n"+pdf_label_tmp
+           # else: pdf_label = pdf_label_tmp
+        #    tls.append(str(node.node_id) + " [label="+pdf_label+",color=" + color + "];\n")
+
+        for node in newtree.inner_nodes_bu: 
+            for node_c in node.children:
+                tls.append(str(node.node_id) + "->" + str(node_c.node_id) + ";\n")
+
+        tls.append("}\n")
+                    
+        output_dot_fn = input_dir + "/res_trees_dots/"+drug_name+".dot"
+        output_pdf_fn = os.path.relpath(input_dir + "/res_trees_pdfs/"+drug_name + ".pdf")
+
+        output_fh = open(output_dot_fn, "w")
+        for tl in tls:
+            output_fh.write(tl)
+        output_fh.close()
+
+        os.system("dot -Tpdf " + output_dot_fn + " -o " + output_pdf_fn)
diff --git a/src/drsoft/format_input/show6_res_mut_tree_graphviz.py b/src/drsoft/format_input/show6_res_mut_tree_graphviz.py
new file mode 100644
index 0000000..b46498e
--- /dev/null
+++ b/src/drsoft/format_input/show6_res_mut_tree_graphviz.py
@@ -0,0 +1,198 @@
+import sys
+import os
+import copy
+import shutil
+from multiprocessing import Pool
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_res_io_utils import readResistanceProfiles
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_tree_io_utils import *
+from drsoft.modelling.model_logic import *
+
+
+color_map = {
+"1": "blue",
+"2": "green",
+"3": "orange",
+"4": "pink",
+"5": "brown"}
+
+def addLegend(): 
+    tls = []
+    tls.append("subgraph Legend {\n")
+    tls.append("k1c [label=\"Susceptible strain\",shape=plaintext,fontsize=20];\n")
+    tls.append("k2c [label=\"Intermediate strain\",shape=plaintext,fontsize=20];\n")
+    tls.append("k3c [label=\"Resistant strain\",shape=plaintext,fontsize=20];\n")
+    tls.append("m1c [label=\"No mutation edge\",shape=plaintext,fontsize=20];\n")
+    tls.append("m2c [label=\"Mutation edge\",shape=plaintext,fontsize=20];\n")
+    tls.append("k1 [label=\"strain1\",fontsize=16,style=filled,color=black,fillcolor=green];\n")
+    tls.append("k2 [label=\"strain2\",fontsize=16,style=filled,color=black,fillcolor=yellow];\n")
+    tls.append("k3 [label=\"strain3\",fontsize=16,style=filled,color=black,fillcolor=red];\n")
+    tls.append("m1x [label=\"strain4\",fontsize=16,style=filled,color=green,fillcolor=white];\n")
+    tls.append("m1y [label=\"strain5\",fontsize=16,style=filled,color=green,fillcolor=white];\n")
+    tls.append("m2x [label=\"strain6\",fontsize=16,style=filled,color=red,fillcolor=white];\n")
+    tls.append("m2y [label=\"strain7\",fontsize=16,style=filled,color=red,fillcolor=white];\n")
+        
+    tls.append("m1x->m1y[penwidth=1,color=black];\n")
+    tls.append("m2x->m2y[penwidth=4,color=blue];\n")
+    tls.append("k1c->k2c->k3c->m1c->m2c[style=invis];\n")
+    tls.append("k1->k2->k3->m1x->m2x[style=invis];\n")
+    tls.append("{ rank=same;m1x m1y}\n")
+    tls.append("{ rank=same;m2x m2y}\n")
+    tls.append("{ rank=same;k1c k1}\n")
+    tls.append("}\n");
+
+
+    return tls
+
+
+if __name__ == '__main__':
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+
+    score = "mi"
+
+    input_fh = open(input_dir + "strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+
+    strains_list = strains.allStrains()
+
+    input_fh = open(input_dir + "res_profiles.txt")
+    res_profiles_list = readResistanceProfiles(input_fh, load_int=True)
+    input_fh.close()
+    
+    ensure_dir(results_dir + "/res_mut_trees_dots/")
+    ensure_dir(results_dir + "/res_mut_trees_pdfs/")
+
+    input_fh = open(results_dir + 'tree.txt')
+    trees = readPhyloTrees(input_fh, strains_list)
+    input_fh.close()
+   
+    tree = trees[0]
+
+
+    input_fn = input_dir + '/bin_profiles_' + parameters["MT"] + '.txt'
+    if not os.path.exists(input_fn):
+        sys.exit(-1)
+
+    input_fh = open(input_fn)
+    bin_profiles = readBinProfiles(input_fh, strains.count(), gen_bin_profiles=True)
+    input_fh.close()
+
+    input_fh = open(input_dir + '/bin_profiles_' + parameters["MT"] + '_det.txt')
+    mut_details_map = readBinProfileDetails(input_fh, strains.count(), parameters["MT"])
+    input_fh.close()
+
+    for res_profile in res_profiles_list:
+        drug_name = res_profile.drug_name
+        try:
+            util.rmtree(results_dir + "/res_mut_trees_dots/" + drug_name + "/")
+            util.rmtree(results_dir + "/res_mut_trees_pdfs/" + drug_name + "/")
+        except:
+            pass
+
+        ensure_dir(results_dir + "/res_mut_trees_dots/" + drug_name + "/")
+        ensure_dir(results_dir + "/res_mut_trees_pdfs/" + drug_name + "/")
+
+        
+        input_fn = scores_dir + drug_name + "/" + score + ".txt"
+        if not os.path.exists(input_fn) or os.path.getsize(input_fn) < 10:
+            print("NOT EXIST: ", input_fn)
+            continue
+        
+        input_fh = open(input_fn)
+        bin_profiles_sorted = readBinProfilesSorted(input_fh, False)
+        input_fh.close()
+        
+        n = len(bin_profiles_sorted)
+
+        bin_profiles_set = set([])
+        ranks_map = {}
+        for i in range(min(n,10)):
+            (bin_profile_id, score_tmp) = bin_profiles_sorted[i]
+            bin_profiles_set.add(bin_profile_id)
+            ranks_map[bin_profile_id] = i + 1
+
+        full_profile = res_profile.full_profile
+
+        tree.setObservedResProfile(full_profile)
+        tree.calcInnerNodesBU()
+        calcSubleavesResCount(tree)
+        calcSubnodesCount(tree)
+        
+        newtree = removeUnResLeaves(tree)
+        newtree.calcInnerNodesBU()
+        calcSubleavesResCount(newtree)
+        calcSubnodesCount(newtree)
+        calcDetParsResModel(newtree)
+
+        for bin_profile_id in bin_profiles_set:
+            bin_profile = bin_profiles[bin_profile_id]
+            details = mut_details_map[bin_profile_id]
+
+            print(drug_name, ''.join(bin_profile), bin_profile_id)
+
+            newtree.setObservedMutProfile(bin_profile)
+            calcSubleavesMutCount(newtree)
+            calcDetParsMutModel(newtree)
+
+            tls = []
+            tls.append("digraph "+ "G" + " {\n")
+            tls.append("fontsize=30\n");
+            tls.append("label=\"" + details.replace(";", "  ").replace("_", "-")[:30] + "\"\n");
+
+            for node in newtree.nodes.values():
+                if not node.is_leaf():
+                    if node.complete_res_state == "R": color = "red"
+                    elif node.complete_res_state == "I": color = "yellow"
+                    elif node.complete_res_state == "S": color = "green"
+                    else: color = "white"
+                    bgcolor = "white"                
+                else:
+                    if node.complete_res_state == "R": bgcolor = "red"
+                    elif node.complete_res_state == "I": bgcolor = "yellow"
+                    elif node.complete_res_state == "S": bgcolor = "green"
+                    else: bgcolor = "white"
+                    color = "black"
+
+                pdf_label_tmp = str(node.label).replace("_", "").replace("-","")
+                if pdf_label_tmp[0] in ["0","1","2","3","4","5","6","7","8","9"]:
+                    pdf_label = "n"+pdf_label_tmp
+                else: pdf_label = pdf_label_tmp            
+                tls.append(str(node.node_id) + " [label="+pdf_label+",style=filled,color="+color+",fillcolor=" + bgcolor + "];\n")
+
+            for node in newtree.inner_nodes_bu: 
+                for node_c in node.children:
+                    if node_c.complete_mut_state == "?":
+                        ecolor = "grey"
+                        pencolor = "1"
+                    elif node_c.complete_mut_state == "0":
+                        ecolor = "black"
+                        pencolor = "1"
+                    else:
+                        ecolor = color_map.get(node_c.complete_mut_state, "purple")
+                        pencolor = "4"
+                    tls.append(str(node.node_id) + "->" + str(node_c.node_id) + " [penwidth="+pencolor+",color="+ecolor+"];\n")
+
+            tls += addLegend()
+            tls.append("}\n")
+                        
+            output_dot_fn = results_dir + "/res_mut_trees_dots/" + drug_name + "/"+str(ranks_map[bin_profile_id])+".dot"
+            output_pdf_fn = os.path.relpath(results_dir + "/res_mut_trees_pdfs/"+drug_name + "/"+str(ranks_map[bin_profile_id]) +".pdf")
+
+            output_fh = open(output_dot_fn, "w")
+            for tl in tls:
+                output_fh.write(tl)
+            output_fh.close()
+
+            os.system("dot -Tpdf " + output_dot_fn + " -o " + output_pdf_fn)
diff --git a/src/drsoft/format_input/show7_latex_rpoB.py b/src/drsoft/format_input/show7_latex_rpoB.py
new file mode 100644
index 0000000..b46498e
--- /dev/null
+++ b/src/drsoft/format_input/show7_latex_rpoB.py
@@ -0,0 +1,198 @@
+import sys
+import os
+import copy
+import shutil
+from multiprocessing import Pool
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_res_io_utils import readResistanceProfiles
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_tree_io_utils import *
+from drsoft.modelling.model_logic import *
+
+
+color_map = {
+"1": "blue",
+"2": "green",
+"3": "orange",
+"4": "pink",
+"5": "brown"}
+
+def addLegend(): 
+    tls = []
+    tls.append("subgraph Legend {\n")
+    tls.append("k1c [label=\"Susceptible strain\",shape=plaintext,fontsize=20];\n")
+    tls.append("k2c [label=\"Intermediate strain\",shape=plaintext,fontsize=20];\n")
+    tls.append("k3c [label=\"Resistant strain\",shape=plaintext,fontsize=20];\n")
+    tls.append("m1c [label=\"No mutation edge\",shape=plaintext,fontsize=20];\n")
+    tls.append("m2c [label=\"Mutation edge\",shape=plaintext,fontsize=20];\n")
+    tls.append("k1 [label=\"strain1\",fontsize=16,style=filled,color=black,fillcolor=green];\n")
+    tls.append("k2 [label=\"strain2\",fontsize=16,style=filled,color=black,fillcolor=yellow];\n")
+    tls.append("k3 [label=\"strain3\",fontsize=16,style=filled,color=black,fillcolor=red];\n")
+    tls.append("m1x [label=\"strain4\",fontsize=16,style=filled,color=green,fillcolor=white];\n")
+    tls.append("m1y [label=\"strain5\",fontsize=16,style=filled,color=green,fillcolor=white];\n")
+    tls.append("m2x [label=\"strain6\",fontsize=16,style=filled,color=red,fillcolor=white];\n")
+    tls.append("m2y [label=\"strain7\",fontsize=16,style=filled,color=red,fillcolor=white];\n")
+        
+    tls.append("m1x->m1y[penwidth=1,color=black];\n")
+    tls.append("m2x->m2y[penwidth=4,color=blue];\n")
+    tls.append("k1c->k2c->k3c->m1c->m2c[style=invis];\n")
+    tls.append("k1->k2->k3->m1x->m2x[style=invis];\n")
+    tls.append("{ rank=same;m1x m1y}\n")
+    tls.append("{ rank=same;m2x m2y}\n")
+    tls.append("{ rank=same;k1c k1}\n")
+    tls.append("}\n");
+
+
+    return tls
+
+
+if __name__ == '__main__':
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+
+    score = "mi"
+
+    input_fh = open(input_dir + "strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+
+    strains_list = strains.allStrains()
+
+    input_fh = open(input_dir + "res_profiles.txt")
+    res_profiles_list = readResistanceProfiles(input_fh, load_int=True)
+    input_fh.close()
+    
+    ensure_dir(results_dir + "/res_mut_trees_dots/")
+    ensure_dir(results_dir + "/res_mut_trees_pdfs/")
+
+    input_fh = open(results_dir + 'tree.txt')
+    trees = readPhyloTrees(input_fh, strains_list)
+    input_fh.close()
+   
+    tree = trees[0]
+
+
+    input_fn = input_dir + '/bin_profiles_' + parameters["MT"] + '.txt'
+    if not os.path.exists(input_fn):
+        sys.exit(-1)
+
+    input_fh = open(input_fn)
+    bin_profiles = readBinProfiles(input_fh, strains.count(), gen_bin_profiles=True)
+    input_fh.close()
+
+    input_fh = open(input_dir + '/bin_profiles_' + parameters["MT"] + '_det.txt')
+    mut_details_map = readBinProfileDetails(input_fh, strains.count(), parameters["MT"])
+    input_fh.close()
+
+    for res_profile in res_profiles_list:
+        drug_name = res_profile.drug_name
+        try:
+            util.rmtree(results_dir + "/res_mut_trees_dots/" + drug_name + "/")
+            util.rmtree(results_dir + "/res_mut_trees_pdfs/" + drug_name + "/")
+        except:
+            pass
+
+        ensure_dir(results_dir + "/res_mut_trees_dots/" + drug_name + "/")
+        ensure_dir(results_dir + "/res_mut_trees_pdfs/" + drug_name + "/")
+
+        
+        input_fn = scores_dir + drug_name + "/" + score + ".txt"
+        if not os.path.exists(input_fn) or os.path.getsize(input_fn) < 10:
+            print("NOT EXIST: ", input_fn)
+            continue
+        
+        input_fh = open(input_fn)
+        bin_profiles_sorted = readBinProfilesSorted(input_fh, False)
+        input_fh.close()
+        
+        n = len(bin_profiles_sorted)
+
+        bin_profiles_set = set([])
+        ranks_map = {}
+        for i in range(min(n,10)):
+            (bin_profile_id, score_tmp) = bin_profiles_sorted[i]
+            bin_profiles_set.add(bin_profile_id)
+            ranks_map[bin_profile_id] = i + 1
+
+        full_profile = res_profile.full_profile
+
+        tree.setObservedResProfile(full_profile)
+        tree.calcInnerNodesBU()
+        calcSubleavesResCount(tree)
+        calcSubnodesCount(tree)
+        
+        newtree = removeUnResLeaves(tree)
+        newtree.calcInnerNodesBU()
+        calcSubleavesResCount(newtree)
+        calcSubnodesCount(newtree)
+        calcDetParsResModel(newtree)
+
+        for bin_profile_id in bin_profiles_set:
+            bin_profile = bin_profiles[bin_profile_id]
+            details = mut_details_map[bin_profile_id]
+
+            print(drug_name, ''.join(bin_profile), bin_profile_id)
+
+            newtree.setObservedMutProfile(bin_profile)
+            calcSubleavesMutCount(newtree)
+            calcDetParsMutModel(newtree)
+
+            tls = []
+            tls.append("digraph "+ "G" + " {\n")
+            tls.append("fontsize=30\n");
+            tls.append("label=\"" + details.replace(";", "  ").replace("_", "-")[:30] + "\"\n");
+
+            for node in newtree.nodes.values():
+                if not node.is_leaf():
+                    if node.complete_res_state == "R": color = "red"
+                    elif node.complete_res_state == "I": color = "yellow"
+                    elif node.complete_res_state == "S": color = "green"
+                    else: color = "white"
+                    bgcolor = "white"                
+                else:
+                    if node.complete_res_state == "R": bgcolor = "red"
+                    elif node.complete_res_state == "I": bgcolor = "yellow"
+                    elif node.complete_res_state == "S": bgcolor = "green"
+                    else: bgcolor = "white"
+                    color = "black"
+
+                pdf_label_tmp = str(node.label).replace("_", "").replace("-","")
+                if pdf_label_tmp[0] in ["0","1","2","3","4","5","6","7","8","9"]:
+                    pdf_label = "n"+pdf_label_tmp
+                else: pdf_label = pdf_label_tmp            
+                tls.append(str(node.node_id) + " [label="+pdf_label+",style=filled,color="+color+",fillcolor=" + bgcolor + "];\n")
+
+            for node in newtree.inner_nodes_bu: 
+                for node_c in node.children:
+                    if node_c.complete_mut_state == "?":
+                        ecolor = "grey"
+                        pencolor = "1"
+                    elif node_c.complete_mut_state == "0":
+                        ecolor = "black"
+                        pencolor = "1"
+                    else:
+                        ecolor = color_map.get(node_c.complete_mut_state, "purple")
+                        pencolor = "4"
+                    tls.append(str(node.node_id) + "->" + str(node_c.node_id) + " [penwidth="+pencolor+",color="+ecolor+"];\n")
+
+            tls += addLegend()
+            tls.append("}\n")
+                        
+            output_dot_fn = results_dir + "/res_mut_trees_dots/" + drug_name + "/"+str(ranks_map[bin_profile_id])+".dot"
+            output_pdf_fn = os.path.relpath(results_dir + "/res_mut_trees_pdfs/"+drug_name + "/"+str(ranks_map[bin_profile_id]) +".pdf")
+
+            output_fh = open(output_dot_fn, "w")
+            for tl in tls:
+                output_fh.write(tl)
+            output_fh.close()
+
+            os.system("dot -Tpdf " + output_dot_fn + " -o " + output_pdf_fn)
diff --git a/src/drsoft/format_results/a1_mutations_latex_sel.py b/src/drsoft/format_results/a1_mutations_latex_sel.py
new file mode 100644
index 0000000..95b51ce
--- /dev/null
+++ b/src/drsoft/format_results/a1_mutations_latex_sel.py
@@ -0,0 +1,156 @@
+import math
+import os
+import sys
+import filecmp
+import multiprocessing
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.structs.resistance_profile import ResistanceProfile
+from drsoft.utils.gwamar_utils import ensure_dir
+
+
+colors_map = {"?": "gray", "0": "white", "1": "orange", "2": "blue",
+               "3": "red", "4":"violet", "5": "green", "6": "brown",
+               "7": "pink", "8": "purple"}
+
+def saveMutsLatex(params):
+    drug_name = params["DRUG_NAME"]
+    dataset = params["D"]
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    stats_dir = parameters["STATS_DIR"]
+    analysis_comb_sel_dir = parameters["RESULTS_A_COMB_S_SEL_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMP_S_DIR"]
+    analysis_latex_sel_dir = parameters["RESULTS_A_LATEX_S_SEL_DIR"]
+    analysis_latex_dir = parameters["RESULTS_A_LATEX_S_DIR"]
+
+    input_fn = analysis_comb_sel_dir + drug_name + ".txt"
+    input_fh = open(input_fn)
+    lines = input_fh.readlines()
+    line0 = lines[0]
+    dr_profile = line0.strip().split("\t")[0]
+    input_fh.close()
+
+    mut_profiles = []
+    for line in lines[1:]:
+        line = line.strip()
+        tokens = line.split("\t")
+        bin_profile = tokens[0]
+        mut_desc_full = tokens[-1]
+        gene_id, position = mut_desc_full.split(" ")[2:4]
+        mut_profiles.append((bin_profile, gene_id, position))
+
+    mut_profiles_sorted = sorted(mut_profiles, key=lambda (bin_profile, gene_id, position): (-countNonZeros(bin_profile), abs(int(position)-440), gene_id))
+
+    tls = []
+    tls.append("\\documentclass[10pt]{article}\n")
+    tls.append("\\usepackage{tikz}\n")
+    if dataset == "broad_mtb":
+        tls.append("\\usepackage[margin=0.2in, paperwidth=12in, paperheight=15in]{geometry}\n")
+    else:
+        tls.append("\\usepackage[margin=0.2in, paperwidth=3in, paperheight=7in]{geometry}\n")
+    tls.append("\\begin{document}\n")
+    tls.append("\\begin{tikzpicture}[x=0.5pt,y=0.5pt]\n")
+
+    y = 20
+    mlen = 5
+    xoffset = 9*mlen + 100
+    jm = min(100, len(mut_profiles)-1)
+
+    tls.append("\\node [right] at (" + str(0) + "," + str(10 + jm*y) + ") {" + drug_name + "};\n")
+    for i in range(len(dr_profile)):
+        if dr_profile[i] == "R": c = "red"
+        elif dr_profile[i] == "S": c = "green"
+        elif dr_profile[i] == "I": c = "yellow"
+        else: c = "gray"
+
+        tl = "\\draw [color=" + c + "] (" + str(xoffset+i) + "," + str(jm*y)+ ") -- (" + str(xoffset+i) + "," + str((jm+1)*y) + ");\n"  
+        tls.append(tl)
+
+    #len(lines)
+    for j in range(jm, 0, -1):
+        jl = jm - j
+        
+        bin_profile, gene_id, position = mut_profiles_sorted[jl]
+    
+        tls.append("\\node [right] at (" + str(0) + "," + str(10 + (j-1)*y) + ") {" + gene_id + " " + str(position) + "};\n")
+        
+        for i in range(len(bin_profile)):
+            c = colors_map.get(bin_profile[i], "black")
+
+            if bin_profile[i] == "0":
+                continue
+            tl = "\\draw [color=" + c + "] (" + str(xoffset+i) + "," + str((j-1)*y)+ ") -- (" + str(xoffset+i) + "," + str((j)*y) + ");\n"  
+            tls.append(tl)
+
+    tls.append("\\end{tikzpicture}\n")
+    tls.append("\\end{document}\n")
+
+    output_fn = analysis_latex_sel_dir + "/" + drug_name + ".tex"
+    output_fh = open(output_fn, "w")
+    for tl in tls:
+        output_fh.write(tl)
+    output_fh.close()
+
+    os.chdir(analysis_latex_sel_dir)
+    command = "pdflatex " + output_fn
+    os.system(command)
+
+
+    return drug_name
+
+if __name__ == '__main__':
+
+ 
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    analysis_dir = parameters["RESULTS_ANALYSIS_DIR"]
+    analysis_comb_dir = parameters["RESULTS_A_COMB_S_DIR"]
+    analysis_comp_dir = parameters["RESULTS_A_COMP_S_DIR"]
+    analysis_latex_sel_dir = parameters["RESULTS_A_LATEX_S_SEL_DIR"]
+    analysis_latex_dir = parameters["RESULTS_A_LATEX_S_DIR"]
+
+    ensure_dir(analysis_latex_sel_dir)
+    ensure_dir(analysis_latex_dir)
+
+    
+    TASKS = []
+    TASK = {}
+    
+    input_fn = results_dir + "/res_profiles.txt"
+    input_fh = open(input_fn)
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    
+    for drug_name in drug_names:
+        ensure_dir(analysis_comp_dir + drug_name)
+        TASK["DRUG_NAME"] = drug_name
+        TASK["D"] = parameters["D"]
+
+        TASKS.append(TASK.copy())
+
+    progress = GWAMARProgress("Combined")
+    progress.setJobsCount(len(TASKS))
+        
+    if WORKERS > 1:
+        pool = Pool(processes=WORKERS)
+        for r in pool.imap(saveMutsLatex, TASKS):
+            progress.update(str(r))
+    else:
+        for T in TASKS:
+            r = saveMutsLatex(T)
+            progress.update(str(r))
diff --git a/src/drsoft/modelling/__init__.py b/src/drsoft/modelling/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/drsoft/modelling/cct.py b/src/drsoft/modelling/cct.py
new file mode 100644
index 0000000..9ac4bd2
--- /dev/null
+++ b/src/drsoft/modelling/cct.py
@@ -0,0 +1,255 @@
+import sys
+from collections import deque
+
+from decimal import Decimal
+
+from drsoft.modelling.model_logic import *
+from drsoft.utils.gwamar_stat_utils import *
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_generator_utils import generateSumProfiles
+
+def colorEdges(tree, alg=0, overwrite=False):
+    if alg == 0: # color all edges coming to resistant nodes
+        for node in list(tree.leaves) + tree.inner_nodes_bu:
+            if node.complete_res_state == "R":
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "b"
+            else:
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "w"
+    elif alg == 1: # color all edges with S->R
+        for node in list(tree.leaves) + tree.inner_nodes_bu:
+            if node.complete_res_state == "R" and (node.parent == None or node.parent.complete_res_state == "S"):
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "b"
+            else:
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "w"
+    return None
+
+def calcFastN(tree, w2=False):
+    for node in tree.leaves:
+        node.maxp = 0
+        node.bc = 0
+    for node in tree.inner_nodes_bu:
+        node.maxp = 0
+        node.bc = 0
+        for node_j in node.children:
+            if node_j.ecolor == "b":
+                node.maxp += 1
+                node.bc += 1
+            else:
+                node.maxp += node_j.maxp
+    return tree.root.maxp
+
+def calcFastWnMAT(tree, maxrparam=None, opt=False, w2=True):
+    for node in tree.leaves:
+        node.count_map = {}                             
+        node.count_map[0] = 1
+        node.maxn = 0
+
+    for node in tree.inner_nodes_bu:
+        node.count_map = {}
+        children_list = node.children
+        k = len(node.children)
+
+        node.maxn = 0
+        for node_j in node.children:
+            node.maxn += max(node_j.maxn, 1)
+
+        if maxrparam == None: maxrp = node.maxn
+        else: maxrp = min(maxrparam, node.maxn)
+
+        for nt in range(maxrp+1):
+          #  print("x", node.node_id, nt,k )
+            if w2: maxr = min(nt, k-1, node.maxn)
+            else: maxr = min(nt, k, node.maxn)
+            
+            if opt and (k+1 == node.subnodes_count):
+                if w2 and k == nt: wnm = 0
+                else: wnm = binom(k, nt)
+            else:
+                wnm = 0
+            
+                for r in range(maxr+1):
+                    if w2 == False and r==k: wnm += 1
+                    for gain_profile in generateSumProfiles(k, r, 1):
+                        kz = 0;
+                        gain_bound = []
+                        for j in range(k): 
+                            if gain_profile[j] == 0: 
+                                kz += 1
+                                gain_bound.append(node.maxn)
+                        for gain_subprofile in generateSumProfiles(kz, nt-r, nt-r, gain_bound[::-1]):
+                            jz = 0
+                            wnm_tmp = 1
+                            for j in range(k):
+                                if gain_profile[j] == 0:
+                                    node_j = node.children[j]
+                                    wnm_tmp *= node_j.count_map.get(gain_subprofile[jz], 0)
+                                    jz += 1
+                                    if wnm_tmp == 0:
+                                        break    
+                            wnm += wnm_tmp
+                            # if nt <=2:
+                                # print("   sub", node.node_id, r, nt, gain_profile, gain_subprofile, wnm_tmp, wnm)
+            # if nt <=2:
+            #      print("www", node.node_id, nt, wnm)
+            node.count_map[nt] = wnm
+    return tree.root.count_map
+
+def calcFastRP(tree):
+    p,r=0,0
+    for node in tree.inner_nodes_bu:
+        for node_j in node.children:
+            if node.complete_mut_state == '0' and node_j.complete_mut_state == "1":
+                r += 1
+                if node_j.ecolor == "b":
+                    p += 1
+    return r,p
+
+def calcFastBpnMAT(tree, p, maxrparam, opt=False, w2=True):
+    for node in tree.leaves:
+        node.count_map = {}
+        node.count_map[(0,0)] = 1
+
+    t = 0
+    for node in tree.inner_nodes_bu:
+        t += 1   
+        node.count_map = {}   
+        children_list = list(node.children)
+        k = len(children_list)
+
+        if maxrparam == None: maxrp = node.maxn
+        else: maxrp = min(maxrparam, node.maxn)
+
+        for nt in range(maxrp + 1): # liczba wybranych
+            maxp = min(node.maxp, nt)
+            for pt in range(maxp + 1):     # liczba pokrytych
+
+                if opt and (k+1 == node.subnodes_count):
+                    if w2 and k == nt: wnm = 0
+                    else: wnm = binom(node.maxp, pt) * binom(k-node.maxp, nt-pt)
+                else:
+                    wnm = 0
+                    if w2: maxr = min(k-1, node.maxn, nt)
+                    else: maxr = min(k, node.maxn, nt)
+
+                    for r in range(maxr + 1):
+                        if r==k and pt==node.bc and w2 == False:  wnm += 1
+
+                        for gain_r_profile in generateSumProfiles(k, r, 1):
+                            ur = 0 # liczba trafionych
+                            kz = 0 # liczba 0
+                            gain_r_bound = []
+                            gain_u_bound = []
+                            for j in range(k):
+                                node_j = children_list[j]
+                                if gain_r_profile[j] == 1 and node_j.ecolor == "b":
+                                    ur += 1
+                                elif gain_r_profile[j] == 0:
+                                    kz += 1
+                                    gain_r_bound.append(node_j.maxn)
+                                    gain_u_bound.append(node_j.maxp)
+
+                            for gain_r_subprofile in generateSumProfiles(kz, nt-r, nt-r, gain_r_bound[::-1]):
+                                gain_p_bound = []
+                                for jz in range(kz):
+                                    gain_p_bound.append(min(gain_u_bound[jz], gain_r_subprofile[jz]))
+                                for gain_u_subprofile in generateSumProfiles(kz, pt-ur, pt-ur, gain_p_bound[::-1]):
+                                    wnm_tmp = 1
+                                    jz = 0
+                                    for j in range(k):
+                                        if gain_r_profile[j] == 0:
+                                            node_j = children_list[j]
+                                            wnm_tmp *= node_j.count_map.get((gain_u_subprofile[jz], gain_r_subprofile[jz]),0)
+                                            if wnm_tmp == 0:
+                                                break
+                                            jz += 1
+
+                                    wnm += wnm_tmp
+                    # if nt <=2:
+                    #     print("   sub", node.node_id, node.bc, pt, nt, wnm_tmp, wnm)
+
+#                                    if nt <=2:
+#                                        print("   sub", node.node_id, r, pt, nt, gain_r_profile, gain_r_subprofile, gain_u_subprofile, wnm_tmp, wnm)
+                # if nt <=2:
+                #     print("zzz", node.node_id, node.bc, pt, nt, node.maxp, wnm)
+                node.count_map[(pt,nt)] = wnm
+    return tree.root.count_map
+
+
+    
+def calcBinProfilesFastCCT(bin_profiles, drp, trees_list, opt=False, w2=True):
+    scores = {}
+    
+    for bin_profile_id, bin_profile in bin_profiles.items():
+        scores[bin_profile_id] = []
+    
+    for tree in trees_list:
+        tree.setObservedResProfile(drp.full_profile)
+        tree.calcInnerNodesBU()
+        calcSubleavesResCount(tree)
+        calcSubnodesCount(tree)
+        print(tree)
+        
+        if len(drp.getResistant()) == 0:
+            continue
+        
+        newtree = removeUnResLeaves(tree)
+        newtree.calcInnerNodesBU()
+        newtree.setObservedResProfile(drp.full_profile)
+        calcSubleavesResCount(newtree)
+        calcSubnodesCount(newtree)
+        calcDetParsResModel(newtree)
+        colorEdges(newtree, alg=1, overwrite=False)
+        print(newtree)
+
+        maxr = 0
+        
+        for bin_profile_id, gen_bin_profile in bin_profiles.items():
+            for bin_profile in specBinProfiles(gen_bin_profile):
+                newtree.setObservedMutProfile(bin_profile)
+                calcSubleavesMutCount(newtree)
+                calcDetParsMutModel(newtree)
+                r,p = calcFastRP(newtree)
+                maxr = max(maxr,r)
+        
+        px = calcFastN(newtree)
+        print("px", px)
+        wn_mat = calcFastWnMAT(newtree, maxr, True, w2=w2)
+        bpn_mat = calcFastBpnMAT(newtree, px, maxr, True, w2=w2)
+
+        print("wn", wn_mat)
+        print("bnp", bpn_mat)
+
+        for bin_profile_id, gen_bin_profile in bin_profiles.items():
+            score = 0.0
+            for bin_profile in specBinProfiles(gen_bin_profile):
+                newtree.setObservedMutProfile(bin_profile)
+                calcSubleavesMutCount(newtree)
+                calcDetParsMutModel(newtree)
+                
+                r,p = calcFastRP(newtree)
+
+                print("rp", r, p)
+                bs = 0
+                for pt in range(p, min(r, px)+1, 1):
+                    bs += bpn_mat[(pt, r)]
+            
+                cct_score = Decimal(bs) / Decimal(wn_mat[r])
+                try:
+                    score += float(cct_score)
+                except:
+                    pass
+                 
+            scores[bin_profile_id].append(score)
+
+    scores_mean = {}
+    
+    for bin_profile_id in scores:
+        scores_mean[bin_profile_id] = mean(scores[bin_profile_id])
+    
+    return scores_mean
+
+
diff --git a/src/drsoft/modelling/fcct.py b/src/drsoft/modelling/fcct.py
new file mode 100644
index 0000000..6028ad3
--- /dev/null
+++ b/src/drsoft/modelling/fcct.py
@@ -0,0 +1,355 @@
+import os
+import sys
+from decimal import Decimal
+
+from collections import deque
+
+from drsoft.modelling.model_logic import *
+from drsoft.utils.gwamar_stat_utils import *
+from drsoft.utils.gwamar_bin_utils import *
+
+from drsoft.utils.gwamar_generator_utils import generateSumProfiles
+
+def colorEdges(tree, alg=0, overwrite=False):
+    if alg == 0: # color all edges coming to resistant nodes
+        for node in list(tree.leaves) + tree.inner_nodes_bu:
+            if node.complete_res_state == "R":
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "b"
+            else:
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "w"
+    elif alg == 1: # color all edges with S->R
+        for node in list(tree.leaves) + tree.inner_nodes_bu:
+            if node.complete_res_state == "R" and (node.parent == None or node.parent.complete_res_state == "S"):
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "b"
+            else:
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "w"
+    return None
+
+def calcFastBC(tree):
+    for node in tree.leaves: node.bc = 0
+    for node in tree.inner_nodes_bu:
+        node.bc = 0
+        for node_j in node.children:
+            if node_j.ecolor == "b":
+                node.bc += 1
+    return tree.root.bc
+
+def calcFastN(tree, w2=False):
+    for node in tree.leaves: node.maxn = 1
+
+    if w2:
+        for node in tree.inner_nodes_bu:
+            sum_tmp = 0
+            all_leaves = True
+            for ch_node in node.children:
+                sum_tmp += max(1, ch_node.maxn)
+                if not ch_node.is_leaf():
+                    all_leaves = False 
+            if all_leaves:
+                node.maxn = len(node.children)-1
+            else:
+                node.maxn = sum_tmp
+    else:
+        for node in tree.inner_nodes_bu:
+            node.maxn = 0
+            for ch_node in node.children:
+                node.maxn += max(ch_node.maxn, 1)
+    
+    # for node in tree.nodes.values():
+    # 	print(node.topos, node.maxn, tree.root.maxn)
+    
+    return tree.root.maxn
+
+def calcFastP(tree, w2=False):
+    for node in tree.leaves: 
+        node.maxp0 = 0
+        if node.ecolor == "b": node.maxp = 1
+        else: node.maxp = 0
+
+    if w2:
+       # print("here, maxp")
+        for node in tree.inner_nodes_bu:
+            sum_tmp = 0
+            all_black = True
+            for ch_node in node.children:
+                sum_tmp += ch_node.maxp
+                if ch_node.ecolor != "b": all_black = False
+                
+            if all_black:
+                sum_tmp_max = 0
+                for ch_node in node.children:
+                    sum_tmp_max = max(sum_tmp_max, sum_tmp - ch_node.maxp + ch_node.maxp0)
+                node.maxp0 = sum_tmp_max
+                if node.ecolor == "b": node.maxp = max(1, sum_tmp_max)
+                else: node.maxp = sum_tmp_max
+            else:
+                node.maxp0 = sum_tmp
+                if node.ecolor == "b": node.maxp = max(1, sum_tmp)
+                else: node.maxp = sum_tmp
+    else:
+        # print("there, maxp")
+        for node in tree.inner_nodes_bu:
+            sum_tmp = 0
+            for ch_node in node.children:
+                sum_tmp += ch_node.maxp
+            if node.ecolor == "b": node.maxp = max(1, sum_tmp)
+            else: node.maxp = sum_tmp
+    # for node in tree.nodes.values():
+    #     print("maxp", node.node_id, node.maxp)
+
+    return tree.root.maxp
+
+def calcFastWnMAT(tree, maxn_t=None, opt=False, w2=True):
+    for node in tree.leaves:
+        node.count_map = {}                             
+        node.count_map[0] = 1
+
+    for node in tree.inner_nodes_bu:
+        node.count_map = {}
+        children_list = node.children
+        k = len(node.children)
+
+        maxn = min(maxn_t, node.maxn)
+
+        for nt in range(maxn+1):
+            if w2: maxr = min(nt, k-1, node.maxn)
+            else: maxr = min(nt, k, node.maxn)
+            
+            if opt and (k+1 == node.subnodes_count):
+                if w2 and k == nt: wnm = 0
+                else: wnm = binom(k, nt)
+            else:
+                wnm = 0
+            
+                for r in range( maxr+1):
+                 #   if w2 == False and r==k: wnm += 1
+                    for gain_profile in generateSumProfiles2(k, r, ub=[1]*k,lb=[0]*k):
+                        gain_bound = []
+                        for j in range(k): 
+                            if gain_profile[j] == 1: 
+                                gain_bound.append(0)
+                            else:
+                                gain_bound.append(node.maxn)
+                        for gain_subprofile in generateSumProfiles2(k, nt-r, ub=gain_bound):
+                            wnm_tmp = 1
+                            for j in range(k):
+                                if gain_profile[j] == 0:
+                                    node_j = node.children[j]
+                                    wnm_tmp *= node_j.count_map.get(gain_subprofile[j], 0)
+                                    if wnm_tmp == 0:
+                                        break    
+                            wnm += wnm_tmp
+            node.count_map[nt] = wnm
+    return tree.root.count_map
+
+def calcFastRP(tree):
+    # r - total number of 0->1 changes 
+    # p - total number of 0->1 changes on black edges
+    r,p = 0,0
+    for node in tree.inner_nodes_bu:
+        for node_j in node.children:
+            if node.complete_mut_state == '0' and node_j.complete_mut_state == "1":
+                r += 1
+                if node_j.ecolor == "b":
+                    p += 1
+    return r,p
+
+def calcFastBpnMAT(tree, maxp_t, maxn_t, opt=False, w2=True, mem={}):
+    mem = {}
+
+    for node in tree.leaves:
+        mem[node.topos] = {}
+        mem[node.topos][(0,0)] = 1
+        
+    for node in tree.inner_nodes_bu:
+        maxn = min(maxn_t, node.maxn)
+        maxp = min(node.maxp, maxp_t)
+
+        if node.topos in mem and (maxp, maxn) in mem[node.topos]:
+            continue
+        if not node.topos in mem:
+            mem[node.topos] = {}
+        
+        children_list = list(node.children)
+        k = len(children_list)
+
+        for nt in range(maxn + 1): # liczba wybranych
+            maxp = min(node.maxp, nt, maxp_t)
+            if (maxp, nt) in mem[node.topos]:
+                continue
+            for pt in range(maxp + 1):     # liczba pokrytych
+                if (pt, nt) in mem[node.topos]:
+                    continue
+                if opt and (k+1 == node.subnodes_count):
+                    if w2 and k == nt: wnm = 0
+                    else: wnm = binom(node.bc, pt) * binom(k-node.bc, nt-pt)
+                else:
+                    wnm = 0
+                    if w2: maxr = min(k-1, nt)
+                    else: maxr = min(k, nt)
+                    for r in range(maxr + 1):
+                        for gain_r_profile in generateSumProfiles2(k, r, ub=[1]*k,lb=[0]*k):
+                            if w2 and sum(gain_r_profile) == k:
+                                continue
+
+                            ur = 0 # liczba trafionych
+                            gain_r_bound = []
+                            for j in range(k):
+                                node_j = children_list[j]
+                                if gain_r_profile[j] == 1:
+                                    gain_r_bound.append(0)
+                                    if  node_j.ecolor == "b":
+                                        ur += 1
+                                elif gain_r_profile[j] == 0:
+                                    gain_r_bound.append(min(node_j.maxn, nt-r))
+
+                            for gain_r_subprofile in generateSumProfiles2(k, nt-r, ub=gain_r_bound):
+                                gain_p_bound = []
+                                for j in range(k):
+                                    node_j = children_list[j]
+                                    gain_p_bound.append(min(node_j.maxp, gain_r_subprofile[j]))
+
+                                for gain_u_subprofile in generateSumProfiles2(k, pt-ur, ub=gain_p_bound):
+                                    wnm_tmp = 1
+
+                                    for j in range(k):
+                                        if gain_r_profile[j] == 0:
+                                            node_j = children_list[j]
+                                            ptmp, ntmp = gain_u_subprofile[j], gain_r_subprofile[j]
+                                            wnm_tmp *= mem[node_j.topos].get((ptmp, ntmp), 0)
+                                            if wnm_tmp == 0:
+                                                break
+                                    wnm += wnm_tmp
+
+                mem[node.topos][(pt,nt)] = wnm
+    return mem
+
+
+    
+def calcBinProfilesFCCT(bin_profiles, drp, trees_list, norm=False, opt=True, w2=True, mem={}):
+    scores = {}
+    
+    for bin_profile_id, bin_profile in bin_profiles.items():
+        scores[bin_profile_id] = []
+    
+    for tree in trees_list:
+        tree.setObservedResProfile(drp.full_profile)
+        tree.calcInnerNodesBU()
+        calcSubleavesResCount(tree)
+        calcSubnodesCount(tree)
+
+        if len(drp.getResistant()) == 0:
+            continue
+        
+        newtree = removeUnResLeaves(tree)
+        newtree.calcInnerNodesBU()
+        newtree.setObservedResProfile(drp.full_profile)
+        calcSubleavesResCount(newtree)
+        calcSubnodesCount(newtree)
+        calcDetParsResModel(newtree)
+        colorEdges(newtree, alg=0, overwrite=False)
+        computeTopos(newtree, r=True)
+
+        maxn = 0
+        maxp = 0
+
+        n_dist = {}
+        
+        for bin_profile_id, gen_bin_profile in bin_profiles.items():
+            for bin_profile in specBinProfiles(gen_bin_profile):
+                newtree.setObservedMutProfile(bin_profile)
+                calcSubleavesMutCount(newtree)
+                calcDetParsMutModel(newtree)
+                r,p = calcFastRP(newtree)
+                maxn = max(maxn,r)
+                maxp = max(maxp,p)
+                if not r in n_dist:
+                    n_dist[r] = 0.0
+                n_dist[r] += 1.0
+        
+        calcFastBC(newtree)
+        nx = calcFastN(newtree, w2=w2)
+        px = calcFastP(newtree, w2=w2)
+
+        t0 = time.time()
+        wn_mat = calcFastWnMAT(newtree, maxn, opt=opt, w2=w2)
+        t1 = time.time()
+
+
+        mem = calcFastBpnMAT(newtree, maxp, maxn, opt=opt, w2=w2, mem=mem)
+        bpn_mat = mem[newtree.root.topos]
+
+        t2 = time.time()
+
+        for bin_profile_id, gen_bin_profile in bin_profiles.items():
+            score = 0.0
+            for bin_profile in specBinProfiles(gen_bin_profile):
+                newtree.setObservedMutProfile(bin_profile)
+                calcSubleavesMutCount(newtree)
+                calcDetParsMutModel(newtree)
+                
+                r,p = calcFastRP(newtree)
+
+                bs = wn_mat[r]
+                for pt in range(p):
+                    bs -= bpn_mat[(pt, r)]
+
+                cct_score = Decimal(bs) / Decimal(wn_mat[r])
+                try:
+                    if norm:
+                        score += -math.log(float(cct_score)*n_dist[r])
+                    else:
+                        score += -math.log(float(cct_score))
+                except:
+                    pass
+                 
+            scores[bin_profile_id].append(score)
+
+    scores_mean = {}
+    
+    for bin_profile_id in scores:
+        scores_mean[bin_profile_id] = mean(scores[bin_profile_id])
+
+    return scores_mean, mem
+
+
+def readFCCTMem(mem_fn):
+	if not os.path.exists(mem_fn):
+		return {}
+	mem = {}
+
+	input_fh = open(mem_fn)
+	lines = input_fh.readlines()
+	input_fh.close()
+	topo = ""
+
+	for line in lines:
+		tokens = line.split()
+		if len(tokens) < 1: 
+			continue
+		elif len(tokens) == 1:
+			topo = tokens[0]
+			if not topo in mem:
+				mem[topo] = {}
+		else:		
+			k = int(tokens[0])
+			n = int(tokens[1])
+			b = int(tokens[2])
+			mem[topo][(k,n)] = b
+
+	return mem
+
+def saveFCCTMem(mem, mem_fn):
+	output_fh = open(mem_fn, "w")
+	topo_sorted = sorted(mem.keys(), key=lambda topo:(len(topo), topo))
+	for topo in topo_sorted:
+		output_fh.write(topo + "\n")
+		for (k, n) in sorted(mem[topo], key=lambda (k,n):(n,k)):
+			b = mem[topo][(k,n)]
+			output_fh.write(str(k) + "\t" + str(n) + "\t" + str(b) + "\n")
+	output_fh.close()
+
diff --git a/src/drsoft/modelling/habib.py b/src/drsoft/modelling/habib.py
new file mode 100644
index 0000000..807417a
--- /dev/null
+++ b/src/drsoft/modelling/habib.py
@@ -0,0 +1,362 @@
+import sys
+from collections import deque
+
+from drsoft.modelling.model_logic import *
+from drsoft.utils.gwamar_stat_utils import *
+from drsoft.utils.gwamar_generator_utils import generateSumProfiles
+
+def calcGeneResTreeSupports(gene_profile, res_profile, tree):
+    if gene_profile.mutationsCount() == 1 and gene_profile.getMutation().res_tree_support > 0:
+        return gene_profile.getMutation().res_tree_support
+    elif (len(gene_profile.getMutated() & res_profile.getSusceptible()) >0):
+        return 0;
+    else:
+        tree.setResMutation(gene_profile.bin_profile, res_profile)
+        return tree.calcChanges()      
+    
+def calcWnmMAT(tree, n, m):
+    queue = deque([])
+    count_map = {}
+    
+    for node in tree.nodes.values():
+        node.visited = 0
+        count_map[node.node_id] = {}
+        for r in range(n+1):
+            for s in range(m + 1):
+                if (r == 0 and s == 0):
+                    count_map[node.node_id][(r,s,1)] = 1
+                    count_map[node.node_id][(r,s,0)] = 1
+                else:
+                    count_map[node.node_id][(r,s,1)] = 0
+                    count_map[node.node_id][(r,s,0)] = 0                
+
+    for i in tree.leaf_ids:
+        node = tree.nodes[i]
+        queue.append(node.parent)
+        
+    while queue:
+        node = queue.popleft()
+        if node == None:
+            continue
+        node.visited += 1
+        if node.visited < len(node.children):
+            continue
+        i= node.node_id
+        
+        children_list = list(node.children)
+        
+        nx = min(n, node.subnodes_count)
+        mx = min(m, node.subnodes_count)
+        
+        for nt in range(nx+1):
+            for mt in range(mx+1):
+                wnm = 0
+                
+                for r in range(nt + 1):
+                    for gain_profile in generateSumProfiles(len(children_list), r, 1):
+                        for gain_subprofile in generateSumProfiles(len(children_list), nt-r, nt):
+                            wnm_tmp = 1
+                            for j in range(len(children_list)):
+                                node_id_j = children_list[j].node_id
+                                
+                                wnm_tmp *= count_map[node_id_j].get((gain_subprofile[j], 0, gain_profile[j]), 0)
+                                if wnm_tmp == 0:
+                                    break
+                            wnm += wnm_tmp
+                count_map[node.node_id][(nt,mt,0)] = wnm
+        queue.append(node.parent)
+    return count_map[tree.root.node_id]
+
+    
+def calcBpqnmMAT(tree, p, q, n, m):
+    queue = deque([])
+    count_map = {}
+    
+    p = min(p,n)
+    q = min(q,m)
+    
+    for node in tree.nodes.values():
+        node.visited = 0
+        count_map[node.node_id] = {}
+        for r in range(n+1):
+            for s in range(m+1):
+                for t in range(0, min(p,r)+1, 1):
+                    for u in range(0, min(q,s)+1, 1):
+                        if (t == 0 and u == 0 and r == 0 and s == 0):
+                            count_map[node.node_id][(t,u,r,s,1)] = 1
+                            count_map[node.node_id][(t,u,r,s,0)] = 1
+                        else:
+                            count_map[node.node_id][(t,u,r,s,1)] = 0
+                            count_map[node.node_id][(t,u,r,s,0)] = 0                
+
+    for i in tree.leaf_ids:
+        node = tree.nodes[i]
+        queue.append(node.parent)
+        
+    while queue:
+        node = queue.popleft()
+        if node == None:
+            continue
+        node.visited += 1
+        if node.visited < len(node.children):
+            continue
+        i = node.node_id
+        
+        children_list = list(node.children)
+        
+        nx = min(n, node.subnodes_count)
+        mx = min(m, node.subnodes_count)
+        px = min(nx,p)
+        qx = min(mx,q)
+        
+   #     print("XXX", px, qx, nx, mx)
+
+        for nt in range(nx+1):
+            for mt in range(mx+1):        
+                for pt in range(0, min(px,nt)+1, 1):
+                    for qt in range(0, min(qx,mt)+1, 1):
+                        wnm = 0
+                        
+                        for r in range(nt + 1):
+                            for gain_r_profile in generateSumProfiles(len(children_list), r, 1):
+                                ur = 0
+                                for j in range(len(children_list)):
+                                    node_j = children_list[j]
+                                    if gain_r_profile[j] == 1 and node.complete_res_state == "S" and node_j.complete_res_state == "R":
+                                        ur += 1
+                                        
+                                for gain_r_subprofile in generateSumProfiles(len(children_list), nt-r, nt):
+                                    for gain_u_subprofile in generateSumProfiles(len(children_list), pt-ur, pt):
+                                        wnm_tmp = 1
+                                        for j in range(len(children_list)):
+                                            node_id_j = children_list[j].node_id
+                                            
+                                            if gain_u_subprofile[j] > gain_r_subprofile[j]:
+                                                wnm_tmp = 0
+                                                break
+                                            wnm_tmp *= count_map[node_id_j].get((gain_u_subprofile[j], 0, gain_r_subprofile[j], 0, gain_r_profile[j]),0)
+                                            if wnm_tmp == 0:
+                                                break
+                                        wnm += wnm_tmp
+                    #    print(pt,qt,nt, mt, 0, wnm)
+                        count_map[node.node_id][(pt,qt,nt, mt, 0)] = wnm
+        queue.append(node.parent)
+        
+    return count_map[tree.root.node_id]
+        
+def calcRSPQ(tree):
+    p=0
+    q=0
+    r=0
+    s=0
+    queue = deque([])
+    
+    for node in tree.nodes.values():
+        node.visited = 0
+
+    for i in tree.leaf_ids:
+        node = tree.nodes[i]      
+        queue.append(node.parent)
+        
+    while queue:
+        node = queue.popleft()
+        if node == None:
+            continue
+        node.visited += 1
+        if node.visited < len(node.children):
+            continue
+        i = node.node_id
+        
+        children_list = list(node.children)
+        
+        for j in range(len(children_list)):
+            node_j = children_list[j]
+            if node.complete_res_state == "S" and node_j.complete_res_state == "R":
+                if node.complete_mut_state == '0' and node_j.complete_mut_state == "1":
+                    p += 1       
+            elif node.complete_res_state == "R" and node_j.complete_res_state == "S":
+                if node.complete_mut_state == '1' and node_j.complete_mut_state == "0":
+                    q += 1
+            if node.complete_mut_state == "0" and node_j.complete_mut_state == "1":
+                r += 1
+            elif node.complete_mut_state == "1" and node_j.complete_mut_state == "0":
+                s += 1
+                print("SSS", node.node_id, node_j.node_id, node.complete_mut_state, node_j.complete_mut_state)
+                for i in sorted(tree.nodes.keys()):
+                    node_t = tree.nodes[i]
+                    print("E", node_t.node_id, node_t.complete_mut_state, node_t.q_subleaves_count, node_t.abs_subleaves_count, node_t.pres_subleaves_count, node_t.subleaves_count)
+                print(tree)
+            
+        #print(i,node.visited, len(children_list), r, s, p, q, n, m)
+                    #    print(pt,qt,nt, mt, 0, wnm)
+        queue.append(node.parent)
+
+    return r,s,p,q
+
+
+    
+def calcNM(tree):
+    n=0
+    m=0
+    queue = deque([])
+    
+    for node in tree.nodes.values():
+        node.visited = 0
+
+    for i in tree.leaf_ids:
+        node = tree.nodes[i]      
+        queue.append(node.parent)
+        
+    while queue:
+        node = queue.popleft()
+        if node == None:
+            continue
+        node.visited += 1
+        if node.visited < len(node.children):
+            continue
+        i = node.node_id
+        
+        children_list = list(node.children)
+        
+        for j in range(len(children_list)):
+            node_j = children_list[j]
+            if node.complete_res_state == "S" and node_j.complete_res_state == "R":
+                n += 1   
+            elif node.complete_res_state == "R" and node_j.complete_res_state == "S":
+                m += 1  
+        queue.append(node.parent)
+
+    return n,m
+
+def calcFastN(tree):
+    for node in tree.leaves:
+        node.maxp = 0
+    for node in tree.inner_nodes_bu:
+        node.maxp = 0
+        for node_j in node.children:
+            if node.complete_res_state == "S" and node_j.complete_res_state == "R":
+                node.maxp += 1
+            else:
+                node.maxp += node_j.maxp
+    return tree.root.maxp
+
+def calcFastWnMAT(tree, maxrparam=None, opt=False):
+    for node in tree.leaves:
+        node.count_map = {}                             
+        node.count_map[0] = 1
+        node.maxn = 0
+
+    for node in tree.inner_nodes_bu:
+        node.count_map = {}
+        children_list = node.children
+        k = len(node.children)
+
+        node.maxn = 0
+        for node_j in node.children:
+            node.maxn += max(node_j.maxn, 1)
+
+        if maxrparam == None: maxrp = node.maxn
+        else: maxrp = min(maxrparam, node.maxn)
+
+        for nt in range(maxrp+1):
+          #  print("x", node.node_id, nt,k )
+            maxr = min(nt, k-1, node.maxn)
+            
+            if opt and (k+1 == node.subnodes_count):
+                if k == nt: wnm = 0
+                else: wnm = binom(k, nt)
+            else:
+                wnm = 0
+                for r in range(maxr+1):
+                    for gain_profile in generateSumProfiles(k, r, 1):
+                        kz = 0;
+                        gain_bound = []
+                        for j in range(k): 
+                            if gain_profile[j] == 0: 
+                                kz += 1
+                                gain_bound.append(node.maxn)
+                        for gain_subprofile in generateSumProfiles(kz, nt-r, nt-r, gain_bound[::-1]):
+                            jz = 0
+                            wnm_tmp = 1
+                            for j in range(k):
+                                if gain_profile[j] == 0:
+                                    node_j = node.children[j]
+                                    wnm_tmp *= node_j.count_map.get(gain_subprofile[jz], 0)
+                                    jz += 1
+                                    if wnm_tmp == 0:
+                                        break    
+                            wnm += wnm_tmp
+            node.count_map[nt] = wnm
+    return tree.root.count_map
+
+def calcFastRP(tree):
+    p,r=0,0
+    for node in tree.inner_nodes_bu:
+        for node_j in node.children:
+            if node.complete_mut_state == '0' and node_j.complete_mut_state == "1":
+                r += 1
+                if node.complete_res_state == "S" and node_j.complete_res_state == "R":
+                    p += 1
+    return r,p
+
+def calcFastBpnMAT(tree, p, maxrparam, opt=False):
+    for node in tree.leaves:
+        node.count_map = {}
+        node.count_map[(0,0)] = 1
+
+    t = 0
+    for node in tree.inner_nodes_bu:
+        t += 1   
+        node.count_map = {}   
+        children_list = list(node.children)
+        k = len(children_list)
+
+        if maxrparam == None: maxrp = node.maxn
+        else: maxrp = min(maxrparam, node.maxn)
+
+        for nt in range(maxrp + 1): # liczba wybranych
+            print("y", t, len(tree.inner_nodes_bu), nt, maxrp, node.maxn, k)
+            maxp = min(node.maxp, nt)
+            for pt in range(maxp + 1):     # liczba pokrytych
+
+                if opt and (k+1 == node.subnodes_count):
+                    if k == nt: wnm = 0
+                    else: wnm = binom(node.maxp, pt) * binom(k-node.maxp, nt-pt)
+                else:
+                    wnm = 0
+                    maxr = min(k-1, node.maxn, nt)
+
+                    for r in range(maxr + 1):
+                        for gain_r_profile in generateSumProfiles(k, r, 1):
+                            ur = 0 # liczba trafionych
+                            kz = 0 # liczba 0
+                            gain_r_bound = []
+                            gain_u_bound = []
+                            for j in range(k):
+                                node_j = children_list[j]
+                                if gain_r_profile[j] == 1 and node.complete_res_state == "S" and node_j.complete_res_state == "R":
+                                    ur += 1
+                                elif gain_r_profile[j] == 0:
+                                    kz += 1
+                                    gain_r_bound.append(node_j.maxn)
+                                    gain_u_bound.append(node_j.maxp)
+
+                            for gain_r_subprofile in generateSumProfiles(kz, nt-r, nt-r, gain_r_bound[::-1]):
+                                gain_p_bound = []
+                                for jz in range(kz):
+                                    gain_p_bound.append(min(gain_u_bound[jz], gain_r_subprofile[jz]))
+                                for gain_u_subprofile in generateSumProfiles(kz, pt-ur, pt-ur, gain_p_bound[::-1]):
+                                    wnm_tmp = 1
+                                    jz = 0
+                                    for j in range(k):
+                                        if gain_r_profile[j] == 0:
+                                            node_j = children_list[j]
+                                            wnm_tmp *= node_j.count_map.get((gain_u_subprofile[jz], gain_r_subprofile[jz]),0)
+                                            if wnm_tmp == 0:
+                                                break
+                                            jz += 1
+
+                                    wnm += wnm_tmp
+
+                node.count_map[(pt,nt)] = wnm
+    return tree.root.count_map
diff --git a/src/drsoft/modelling/model_logic.py b/src/drsoft/modelling/model_logic.py
new file mode 100644
index 0000000..fa0416e
--- /dev/null
+++ b/src/drsoft/modelling/model_logic.py
@@ -0,0 +1,731 @@
+from collections import deque
+from math import exp
+from math import log
+
+from drsoft.utils.gwamar_generator_utils import *
+from drsoft.structs.res_tree import ResTreeNode, ResTree
+
+
+def changeProb(r, t):
+    if t < 0:
+        return r
+    else:
+        return 1.0 - exp(-r*t) 
+
+def getstable(t=0.5, z=0.0, b=-1.0):
+    score_tab = {
+        "SS00": 0.0,"SS01": b  ,"SS10": 0.0,"SS11": b,
+        "SR00": 0.0,"SR01": 1.0,"SR10": 0.0,"SR11": t,
+        "RS00": 0.0,"RS01":-b  ,"RS10": 1.0,"RS11":-b,
+        "RR00": 0.0,"RR01": t  ,"RR10": 0.0,"RR11": 0+z,
+        "SI00": 0.0,"SI01": 0.5,"SI10": 0.0,"SI11": t/2,
+        "RI00": 0.0,"RI01":-b  ,"RI10": 0.5,"RI11":-b/2,
+        "II00": 0.0,"II01": t/2,"II10": 0.0,"II11": z/2,
+        "IR00": 0.0,"IR01": 0.5,"IR10": 0.0,"IR11":-b }
+    return score_tab
+
+def stable(res_from='R', res_to='S', mut_from='0', mut_to='1', t=0.5, z=0.0, b=-1.0):
+    comb_txt = res_from + res_to + mut_from + mut_to
+    score_tab = getstable(t,z,b)
+    return score_tab.get(comb_txt, 0.0)
+
+def computeTopos(tree, r=False):
+    for node in tree.leaves:
+        if r== True and node.complete_res_state == "R":
+            node.topos = "y"
+        elif r== True:
+            node.topos = "x"
+        else:
+            node.topos = "x"
+        # print(node.node_id, node.topos)
+    for node in tree.inner_nodes_bu:
+        topo = "("
+        for child in sorted(node.children, key=lambda ch:ch.topos):
+            topo += child.topos
+        topo += ")"
+        node.topos = topo
+        #print(node.node_id, node.topos)
+    return tree.root.topos
+
+def calcResCondProbabilities(phylo_tree, eps, alpha, beta):
+    for node in phylo_tree.leaves:
+        if hasattr(node, 'observed_res_prob_state'):
+            node.cond_exp_res = node.observed_res_prob_state
+            node.cond_exp_susc = 1.0 - node.cond_exp_res
+        elif node.observed_res_state == 'R':
+            node.cond_exp_res = 1.0-eps
+            node.cond_exp_susc = eps
+        elif node.observed_res_state == 'S':
+            node.cond_exp_res = eps
+            node.cond_exp_susc = 1.0-eps
+        elif node.observed_res_state == 'I':
+            node.cond_exp_res = 0.5
+            node.cond_exp_susc = 0.5
+        else:
+            node.cond_exp_susc = 1.0
+            node.cond_exp_res = 1.0
+        
+    for node in phylo_tree.inner_nodes_bu:    
+        
+        node.cond_exp_res = 0.0
+        node.cond_exp_susc = 0.0
+        children_list = list(node.children)
+        
+        if len(children_list) > 0:
+            for res_subprofile in generateResistanceProfiles(len(children_list)):
+                prob_res = 1.0
+                prob_susc = 1.0
+                for j in range(len(children_list)):
+                    if res_subprofile[j] == 'R':
+                        prob_res *= children_list[j].cond_exp_res*(1 - changeProb(beta, children_list[j].e_len))
+                        prob_susc *= children_list[j].cond_exp_res*changeProb(alpha, children_list[j].e_len)
+                    elif res_subprofile[j] == 'S':
+                        prob_res *= children_list[j].cond_exp_susc*changeProb(beta, children_list[j].e_len)
+                        prob_susc *= children_list[j].cond_exp_susc*(1 - changeProb(alpha, children_list[j].e_len))
+                    else:
+                        print("error")
+    
+                node.cond_exp_res += prob_res
+                node.cond_exp_susc += prob_susc
+        
+    return None
+
+def calcResCondParentProbabilities(phylo_tree, alpha, beta):
+    #queue = deque([])
+    
+    root = phylo_tree.root
+    root.res_prob = 0.0
+    
+    for node in phylo_tree.inner_nodes_bu[::-1] + list(phylo_tree.leaves):
+        p_node = node.parent
+        if p_node == None: continue
+        cp_alpha = changeProb(alpha, node.e_len)
+        cp_beta = changeProb(beta, node.e_len)
+        try:
+            prob_res_res = node.cond_exp_res * (1-cp_beta) / (node.cond_exp_res * (1-cp_beta) + node.cond_exp_susc * (cp_beta))
+            prob_susc_res = node.cond_exp_res * (cp_alpha) / (node.cond_exp_res * (cp_alpha) + node.cond_exp_susc * (1 - cp_alpha))
+        except:
+            prob_res_res = 1.0
+            prob_susc_res = 0.0
+    
+        node.prob_res_res = prob_res_res
+        node.prob_susc_res = prob_susc_res
+        node.prob_res_susc = 1.0-prob_res_res
+        node.prob_susc_susc = 1.0-prob_susc_res
+        
+        node.res_prob = prob_res_res * p_node.res_prob + prob_susc_res*(1-p_node.res_prob)
+
+    return None
+
+def calulateCompleteResProfile(phylo_tree, eps=0.02, alpha=0.05, beta=0.01):
+    calcResCondProbabilities(phylo_tree, eps, alpha, beta)
+    calcResCondParentProbabilities(phylo_tree, alpha, beta)
+    
+    return None
+
+
+######################################################################
+
+
+def calcMutCondProbabilities(phylo_tree, eps, psi, phi):
+    for node in phylo_tree.leaves:
+        if node.observed_mut_state == '1':
+            node.cond_exp_pres = 1.0-eps
+            node.cond_exp_abs = eps
+        elif node.observed_mut_state == '0':
+            node.cond_exp_pres = eps
+            node.cond_exp_abs = 1.0-eps
+        else:
+            node.cond_exp_pres = 1.0
+            node.cond_exp_abs = 1.0
+
+
+    for node in phylo_tree.inner_nodes_bu:
+        
+        node.cond_exp_pres = 0.0
+        node.cond_exp_abs = 0.0
+        children_list = list(node.children)
+
+        if len(children_list) > 0:
+            for res_subprofile in generateBinMutationProfiles(len(children_list)):
+                prob_pres = 1.0
+                prob_abs = 1.0
+                for j in range(len(children_list)):
+                    if str(res_subprofile[j]) == '1':
+                        prob_pres *= children_list[j].cond_exp_pres*(1 - changeProb(phi, children_list[j].e_len))
+                        prob_abs *= children_list[j].cond_exp_pres*changeProb(psi, children_list[j].e_len)
+                    elif str(res_subprofile[j]) == '0':
+                        prob_pres *= children_list[j].cond_exp_abs*changeProb(phi, children_list[j].e_len)
+                        prob_abs *= children_list[j].cond_exp_abs*(1 - changeProb(psi, children_list[j].e_len))
+                    else:
+                        print("error")
+                node.cond_exp_pres += prob_pres
+                node.cond_exp_abs += prob_abs
+        
+    return None
+
+def calcMutCondParentProbabilities(phylo_tree, psi, phi):
+    root = phylo_tree.root
+    root.mut_prob = 0.0
+    
+    for node in phylo_tree.inner_nodes_bu[::-1] + list(phylo_tree.leaves):
+        p_node = node.parent
+        if p_node == None: continue
+        
+        cp_psi = changeProb(psi, node.e_len)
+        cp_phi = changeProb(phi, node.e_len)
+        
+        try:
+            prob_pres_pres = node.cond_exp_pres * (1-cp_phi) / (node.cond_exp_pres * (1-cp_phi) + node.cond_exp_abs * (cp_phi))
+            prob_abs_pres = node.cond_exp_pres * (cp_psi) / (node.cond_exp_pres * (cp_psi) + node.cond_exp_abs * (1 - cp_psi))
+        except:
+            prob_abs_pres = 0.0
+            prob_pres_pres = 1.0
+
+        node.prob_pres_pres = prob_pres_pres
+        node.prob_abs_pres = prob_abs_pres
+        node.prob_abs_abs = 1.0 - prob_abs_pres
+        node.prob_pres_abs = 1.0 - prob_pres_pres
+    
+        node.mut_prob = prob_pres_pres * p_node.mut_prob + prob_abs_pres*(1-p_node.mut_prob)
+        
+    return None
+
+
+
+def calulateCompleteMutProfile(phylo_tree, eps=0.001, psi=0.1, phi=0.01):
+    calcMutCondProbabilities(phylo_tree, eps, psi, phi)
+    calcMutCondParentProbabilities(phylo_tree, psi, phi)
+    
+    return None
+
+
+def calcTransitionScoreExprectedValue(phylo_tree, theta=0.5, zeta=0.0, beta=-1.0, un = False):
+    for node in phylo_tree.leaves:
+        node.exp_score_res_abs = 0.0
+        node.exp_score_res_pres = 0.0
+        node.exp_score_susc_abs = 0.0
+        node.exp_score_susc_pres = 0.0
+    
+    tstable = getstable(theta, zeta, beta)
+        
+    for node in phylo_tree.inner_nodes_bu:
+        
+        node.exp_score_res_abs = 0.0
+        node.exp_score_res_pres = 0.0
+        node.exp_score_susc_abs = 0.0
+        node.exp_score_susc_pres = 0.0        
+        
+        children_list = list(node.children)
+        if len(children_list) > 0:
+            test_susc_pres = 0.0
+            test_res_pres = 0.0
+            test_susc_abs = 0.0
+            test_res_abs = 0.0
+            for res_subprofile in generateResBinMutationProfiles(len(children_list)):
+                score_res_abs = 0.0
+                score_res_pres = 0.0
+                score_susc_abs = 0.0
+                score_susc_pres = 0.0
+                prob_res_abs = 1.0
+                prob_res_pres = 1.0
+                prob_susc_abs = 1.0
+                prob_susc_pres = 1.0
+                for j in range(len(children_list)):    
+                    node_j = children_list[j]  
+                    
+                    if res_subprofile[j] == "1R":
+                        if un == True or node_j.un_subleaves_count < node_j.subleaves_count:
+                            score_res_abs  += (tstable.get('RR01',0.0) + node_j.exp_score_res_pres)
+                            score_res_pres += (tstable.get('RR11',0.0) + node_j.exp_score_res_pres)
+                            score_susc_abs += (tstable.get('SR01',0.0) + node_j.exp_score_res_pres)
+                            score_susc_pres+= (tstable.get('SR11',0.0) + node_j.exp_score_res_pres)
+                        prob_res_abs   *= node_j.prob_abs_pres*node_j.prob_res_res
+                        prob_res_pres  *= node_j.prob_pres_pres*node_j.prob_res_res
+                        prob_susc_abs  *= node_j.prob_abs_pres*node_j.prob_susc_res
+                        prob_susc_pres *= node_j.prob_pres_pres*node_j.prob_susc_res
+                    elif res_subprofile[j] == "1S":
+    
+                        if un == True or node_j.un_subleaves_count < node_j.subleaves_count:
+                            score_res_abs  += (tstable.get('RS01',0.0) + node_j.exp_score_susc_pres)
+                            score_res_pres += (tstable.get('RS11',0.0) + node_j.exp_score_susc_pres)
+                            score_susc_abs += (tstable.get('SS01',0.0) + node_j.exp_score_susc_pres)
+                            score_susc_pres+= (tstable.get('SS11',0.0) + node_j.exp_score_susc_pres)
+    
+                        prob_res_abs   *= node_j.prob_abs_pres*node_j.prob_res_susc
+                        prob_res_pres  *= node_j.prob_pres_pres*node_j.prob_res_susc
+                        prob_susc_abs  *= node_j.prob_abs_pres*node_j.prob_susc_susc
+                        prob_susc_pres *= node_j.prob_pres_pres*node_j.prob_susc_susc
+                    elif res_subprofile[j] == "0R":
+                        if un == True or node_j.un_subleaves_count < node_j.subleaves_count:
+                            score_res_abs  += (tstable.get('RR00',0.0) + node_j.exp_score_res_abs)
+                            score_res_pres += (tstable.get('RR10',0.0) + node_j.exp_score_res_abs)
+                            score_susc_abs += (tstable.get('SR00',0.0) + node_j.exp_score_res_abs)
+                            score_susc_pres+= (tstable.get('SR10',0.0) + node_j.exp_score_res_abs)
+                        prob_res_abs   *= node_j.prob_abs_abs*node_j.prob_res_res
+                        prob_res_pres  *= node_j.prob_pres_abs*node_j.prob_res_res
+                        prob_susc_abs  *= node_j.prob_abs_abs*node_j.prob_susc_res
+                        prob_susc_pres *= node_j.prob_pres_abs*node_j.prob_susc_res
+                    elif res_subprofile[j] == "0S":
+                        if un == True or node_j.un_subleaves_count < node_j.subleaves_count:
+                            score_res_abs  += (tstable.get('RS00',0.0) + node_j.exp_score_susc_abs)
+                            score_res_pres += (tstable.get('RS10',0.0) + node_j.exp_score_susc_abs)
+                            score_susc_abs += (tstable.get('SS00',0.0) + node_j.exp_score_susc_abs)
+                            score_susc_pres+= (tstable.get('SS10',0.0) + node_j.exp_score_susc_abs)
+                        prob_res_abs   *= node_j.prob_abs_abs*node_j.prob_res_susc
+                        prob_res_pres  *= node_j.prob_pres_abs*node_j.prob_res_susc
+                        prob_susc_abs  *= node_j.prob_abs_abs*node_j.prob_susc_susc
+                        prob_susc_pres *= node_j.prob_pres_abs*node_j.prob_susc_susc
+    
+                node.exp_score_res_abs  += score_res_abs*prob_res_abs
+                node.exp_score_res_pres += score_res_pres*prob_res_pres
+                node.exp_score_susc_abs += score_susc_abs*prob_susc_abs
+                node.exp_score_susc_pres+= score_susc_pres*prob_susc_pres
+                
+                test_res_abs += prob_res_abs
+                test_res_pres += prob_res_pres
+                test_susc_abs += prob_susc_abs
+                test_susc_pres += prob_susc_pres
+
+    return phylo_tree.root.exp_score_susc_abs
+
+def calcProbAllLeafResistant(phylo_tree):
+    for node in phylo_tree.leaves:
+        node.all_res_res = 1.0
+        node.all_res_susc = 0.0
+        
+    for node in phylo_tree.inner_nodes_bu:
+        
+        node.all_res_res = 0.0
+        node.all_res_susc = 0.0
+        children_list = list(node.children)
+        
+        if len(children_list) > 0:
+      
+            for res_subprofile in generateResistanceProfiles(len(children_list)):
+                prob_res = 1.0
+                prob_susc = 1.0
+                for j in range(len(children_list)):
+                    if res_subprofile[j] == 'R':
+                        prob_res *= children_list[j].prob_res_res * children_list[j].all_res_res
+                        prob_susc *= children_list[j].prob_susc_res * children_list[j].all_res_res
+                    elif res_subprofile[j] == 'S':
+                        prob_res *= children_list[j].prob_res_susc * children_list[j].all_res_susc
+                        prob_susc *= children_list[j].prob_susc_susc * children_list[j].all_res_susc
+                    else:
+                        print("error")
+                node.all_res_res += prob_res
+                node.all_res_susc += prob_susc
+    return None
+
+def calcSubleavesResCount(phylo_tree):
+    for node in phylo_tree.leaves:
+        node.subleaves_count = 1
+
+        if node.observed_res_state== 'R':
+            node.res_subleaves_count = 1
+            node.inter_subleaves_count = 0
+            node.susc_subleaves_count = 0
+            node.un_subleaves_count = 0
+        elif node.observed_res_state == 'S':
+            node.res_subleaves_count = 0
+            node.inter_subleaves_count = 0
+            node.susc_subleaves_count = 1
+            node.un_subleaves_count = 0
+        elif node.observed_res_state == 'I':
+            node.res_subleaves_count = 0
+            node.inter_subleaves_count = 1
+            node.susc_subleaves_count = 0
+            node.un_subleaves_count = 0
+        else:
+            node.res_subleaves_count = 0
+            node.inter_subleaves_count = 0
+            node.susc_subleaves_count = 0            
+            node.un_subleaves_count = 1
+
+    for node in phylo_tree.inner_nodes_bu:
+              
+        children_list = list(node.children)
+        
+        if len(children_list) > 0:
+            node.res_subleaves_count = 0
+            node.inter_subleaves_count = 0
+            node.susc_subleaves_count = 0
+            node.un_subleaves_count = 0
+            node.subleaves_count = 0
+            for j in range(len(children_list)):
+                node.res_subleaves_count += children_list[j].res_subleaves_count
+                node.inter_subleaves_count += children_list[j].inter_subleaves_count
+                node.susc_subleaves_count += children_list[j].susc_subleaves_count
+                node.un_subleaves_count += children_list[j].un_subleaves_count
+                node.subleaves_count += children_list[j].subleaves_count
+    
+    return None 
+
+def calcSubleavesResCountOther(phylo_tree):
+    k = len(phylo_tree.root.observed_res_state_map)
+    
+    for node in phylo_tree.nodes.values():
+        node.res_subleaves_count_map = [0]*k
+        node.inter_subleaves_count_map = [0]*k
+        node.susc_subleaves_count_map = [0]*k
+        node.un_subleaves_count_map = [0]*k
+
+    for node in phylo_tree.leaves:
+        node.subleaves_count = 1
+
+        for di in range(k):
+            if node.observed_res_state_map[di] == 'R':
+                node.res_subleaves_count_map[di] = 1
+                node.inter_subleaves_count_map[di] = 0
+                node.susc_subleaves_count_map[di] = 0
+                node.un_subleaves_count_map[di] = 0
+            elif node.observed_res_state_map[di] == 'S':
+                node.res_subleaves_count_map[di] = 0
+                node.inter_subleaves_count_map[di] = 0
+                node.susc_subleaves_count_map[di] = 1
+                node.un_subleaves_count_map[di] = 0
+            elif node.observed_res_state_map[di] == 'I':
+                node.res_subleaves_count_map[di] = 0
+                node.inter_subleaves_count_map[di] = 1
+                node.susc_subleaves_count_map[di] = 0
+                node.un_subleaves_count_map[di] = 0
+            else:
+                node.res_subleaves_count_map[di] = 0
+                node.inter_subleaves_count_map[di] = 0
+                node.susc_subleaves_count_map[di] = 0            
+                node.un_subleaves_count_map[di] = 1
+
+    for node in phylo_tree.inner_nodes_bu:
+             
+        children_list = list(node.children)
+      
+        if len(children_list) > 0:
+            node.subleaves_count = 0
+            for j in range(len(children_list)):
+                node.subleaves_count += children_list[j].subleaves_count
+                
+            for di in range(k):
+                node.res_subleaves_count_map[di] = 0
+                node.inter_subleaves_count_map[di] = 0
+                node.susc_subleaves_count_map[di] = 0
+                node.un_subleaves_count_map[di] = 0
+                
+                for j in range(len(children_list)):
+                    node.res_subleaves_count_map[di] += children_list[j].res_subleaves_count_map[di]
+                    node.inter_subleaves_count_map[di] += children_list[j].inter_subleaves_count_map[di]
+                    node.susc_subleaves_count_map[di] += children_list[j].susc_subleaves_count_map[di]
+                    node.un_subleaves_count_map[di] += children_list[j].un_subleaves_count_map[di]
+    
+    return None 
+
+def calcSubleavesMutCount(phylo_tree):
+    for node in phylo_tree.leaves:
+
+        if node.observed_mut_state == '?':
+            node.pres_subleaves_count = 0
+            node.abs_subleaves_count = 0
+            node.q_subleaves_count = 1
+        elif node.observed_mut_state == '0':
+            node.pres_subleaves_count = 0
+            node.abs_subleaves_count = 1
+            node.q_subleaves_count = 0
+        else:
+            node.pres_subleaves_count = 1
+            node.abs_subleaves_count = 0
+            node.q_subleaves_count = 0
+            
+    for node in phylo_tree.inner_nodes_bu:
+                
+        children_list = list(node.children)
+      
+        if len(children_list) > 0:
+            node.pres_subleaves_count = 0
+            node.abs_subleaves_count = 0
+            node.q_subleaves_count = 0
+    
+            for j in range(len(children_list)):
+                node.pres_subleaves_count += children_list[j].pres_subleaves_count
+                node.abs_subleaves_count += children_list[j].abs_subleaves_count
+                node.q_subleaves_count += children_list[j].q_subleaves_count
+
+    return None    
+
+
+def calcSubnodesCount(phylo_tree):
+    for node in phylo_tree.leaves:
+        node.subnodes_count = 1
+        
+    for node in phylo_tree.inner_nodes_bu:
+        
+        children_list = list(node.children)
+        if len(children_list) > 0:
+            node.subnodes_count = 1
+            for j in range(len(children_list)):
+                node.subnodes_count += children_list[j].subnodes_count
+    return None    
+ 
+
+def calcWeightedSuppotExprectedValue(phylo_tree, un=False):
+    exp_ws = 0.0
+    root = phylo_tree.root
+    for node in phylo_tree.nodes.values():
+        node.visited = 0
+    
+    for node in phylo_tree.leaves:
+        if un == False and node.observed_res_state == '?':
+            continue
+        
+        exp_w = 0.0
+        
+        queue = deque([])
+        queue.append((node, node.parent))
+        
+        while queue:
+            (node_j, node_i) = queue.popleft()
+            if node_i == None:
+                continue    
+            
+            children_list = list(node_i.children)
+            prob_level = 0.0
+            
+            for res_subprofile in generateResistanceProfiles(len(children_list)):
+                prob_res = 1.0
+                prob_susc = 1.0
+                prob_all_res_other = 1.0
+                
+                for k in range(len(children_list)):            
+                    if res_subprofile[k] == 'R':
+                        prob_res *= children_list[k].prob_res_res                   
+                        prob_susc *= children_list[k].prob_susc_res
+                        if children_list[k].node_id == node_j.node_id:
+                            prob_all_res_j = children_list[k].all_res_res
+                        else:
+                            prob_all_res_other *= children_list[k].all_res_res
+                                                
+                    elif res_subprofile[k] == 'S':
+                        prob_res *= children_list[k].prob_res_susc                   
+                        prob_susc *= children_list[k].prob_susc_susc                    
+                        if children_list[k].node_id == node_j.node_id:
+                            prob_all_res_j = children_list[k].all_res_susc
+                        else:
+                            prob_all_res_other *= children_list[k].all_res_susc
+                    else:
+                        print("error")
+
+                prob_level += (prob_res * node_i.res_prob + prob_susc * (1 - node_i.res_prob))*prob_all_res_j*(1 - prob_all_res_other)
+            exp_w += 1.0 / float(node_j.subleaves_count) * prob_level 
+            queue.append((node_i, node_i.parent))
+        
+        exp_ws += (1-node.res_prob) * (-root.res_subleaves_count/root.susc_subleaves_count) * node.mut_prob
+        exp_ws += exp_w * node.mut_prob
+
+    return exp_ws
+
+def calcDetParsResModel(phylo_tree):
+    phylo_tree.setComepleteResProfile(['?']*phylo_tree.nodes_count)
+        
+    for node in phylo_tree.leaves:
+        node.complete_res_state = node.observed_res_state
+        
+    for node_i in phylo_tree.inner_nodes_bu:
+        if len(node_i.children) > 0:
+            if node_i.un_subleaves_count == node_i.subleaves_count:
+                node_i.complete_res_state = '?'
+            elif node_i.susc_subleaves_count > 0:
+                node_i.complete_res_state = 'S'
+            elif node_i.inter_subleaves_count > 0:
+                node_i.complete_res_state = 'I'
+            else:
+                node_i.complete_res_state = 'R'
+
+    return None
+
+def calcDetParsResModelOther(phylo_tree):
+    k = len(phylo_tree.root.observed_res_state_map)
+    
+    for node in phylo_tree.nodes:
+        node.complete_res_state_map = ["?"]*k
+    
+        
+    for node in phylo_tree.leaves:
+        for di in range(k):
+            node.complete_res_state_map[di] = node.observed_res_state_map[di]
+        
+    for node_i in phylo_tree.inner_nodes_bu:
+
+        if len(node_i.children) > 0:
+            for di in range(k):
+                if node_i.un_subleaves_count_map[di] == node_i.subleaves_count:
+                    node_i.complete_res_state_map[di] = '?'
+                elif node_i.susc_subleaves_count_map[di] > 0:
+                    node_i.complete_res_state_map[di] = 'S'
+                elif node_i.inter_subleaves_count_map[di] > 0:
+                    node_i.complete_res_state_map[di] = 'I'
+                else:
+                    node_i.complete_res_state_map[di] = 'R'     
+    return None
+
+def calcDetParsMutModel(phylo_tree):
+    phylo_tree.setComepleteMutProfile(['?']*phylo_tree.nodes_count)
+        
+    for node in phylo_tree.leaves:
+        node.complete_mut_state = node.observed_mut_state
+        
+    for node_i in phylo_tree.inner_nodes_bu:
+        
+        if node_i.q_subleaves_count == node_i.subleaves_count:
+            node_i.complete_mut_state = '?'
+        elif node_i.abs_subleaves_count > 0:
+            node_i.complete_mut_state = '0'
+        else:
+            node_i.complete_mut_state = '1'
+        
+    return None
+
+def calcTransitionScore(phylo_tree, theta=0.5, zeta = 0.0, beta=-1.0, tscore_type = "P"):
+    for node in phylo_tree.nodes.values():
+        node.tscore_tmp = 0.0
+        
+    tstable = getstable(t=theta, z=zeta, b=beta)
+
+    for node in phylo_tree.inner_nodes_bu:
+        node.tscore_tmp = 0.0    
+        
+        node_res = node.complete_res_state
+        node_mut = node.complete_mut_state
+
+        for node_j in node.children:                
+            node_j_res = node_j.complete_res_state
+            node_j_mut = node_j.complete_mut_state
+            
+            if tscore_type == "P":
+                score_tmp = tstable.get(node_res + node_j_res + node_mut + node_j_mut, 0.0)
+                node.tscore_tmp += score_tmp + node_j.tscore_tmp
+                #if int(node_j.node_id) in [1621,1623,1625,1622,1624,1620]:
+                #    print(node.node_id, node_j.node_id, score_tmp, node_res + node_j_res + node_mut + node_j_mut)
+            elif tscore_type == "A":
+                if node_res == "S" and node_j_res == "R":
+                    node.tscore_tmp += node_j.tscore_tmp + float(node_j.pres_subleaves_count) / float(node_j.subnodes_count)
+                elif node_j_res == "S" and node_j_mut == "1":
+                    #print("here2", node_res, node_j_res, node_mut, node_j_mut)
+                    node.tscore_tmp += node_j.tscore_tmp - 1.0
+                else:
+                    node.tscore_tmp += node_j.tscore_tmp
+#                if node_mut == "0" and node_j_mut == "1":
+#                    node.tscore_tmp  += ((float(node_j.susc_subleaves_count)* (-2.0) + float(node_j.res_subleaves_count)) / float(node_j.un_subleaves_count + node_j.susc_subleaves_count + node_j.res_subleaves_count) + node_j.tscore_tmp)
+#                else:
+#                    node.tscore_tmp  += node_j.tscore_tmp
+            elif tscore_type == "C":
+                node.tscore_tmp  += (tstable.get(node_res+node_j_res+node_mut+node_j_mut,0.0) * (1.0+log(node_j.subnodes_count)) + node_j.tscore_tmp)
+            elif tscore_type == "L":
+                sc_tmp = tstable.get(node_res+node_j_res+node_mut+node_j_mut,0.0)
+                if sc_tmp >= 0:
+                    node.tscore_tmp  += (log(1+sc_tmp) + node_j.tscore_tmp)
+                else:
+                    node.tscore_tmp  += (log(0.5) + node_j.tscore_tmp)
+            elif tscore_type == "E":
+                node.tscore_tmp  += (tstable.get(node_res+node_j_res+node_mut+node_j_mut,0.0)*exp(-100*node_j.e_len) + node_j.tscore_tmp)
+            elif tscore_type == "R":
+                node.tscore_tmp  += (tstable.get(node_res+node_j_res+node_mut+node_j_mut,0.0) - node_j.e_len + node_j.tscore_tmp)                
+            else:
+                node.tscore_tmp  += (tstable.get(node_res+node_j_res+node_mut+node_j_mut,0.0) + node_j.tscore_tmp)
+        
+    return phylo_tree.root.tscore_tmp
+
+def calcTransitionScoreMulti(phylo_tree, theta=0.5, zeta = 0.0, tscore_type = "P"):
+    k = len(phylo_tree.root.complete_res_state_map) 
+        
+    for node in phylo_tree.nodes.values():
+        node.tscore_tmp = 0.0
+                
+    for node in phylo_tree.inner_nodes_bu:
+
+        node.tscore_tmp = 0.0    
+        
+        children_list = list(node.children)
+        node_res = node.complete_res_state
+        node_mut = node.complete_mut_state
+
+        for j in range(len(children_list)):    
+            node_j = children_list[j]  
+                        
+            node_j_res = node_j.complete_res_state
+            node_j_mut = node_j.complete_mut_state
+            
+            other_score = 0.0
+            
+            if node_mut == "0" and node_j_mut == "1":                
+                for di in range(k):
+                    node_res_di = node.complete_res_state_map[di]
+                    node_j_res_di = node_j.complete_res_state_map[di]
+                    if node_res_di == "S" and node_j_res_di == "R":
+                        other_score += 1.0
+                    elif node_res_di == "R" and node_j_res_di == "R":
+                        other_score += 0.5
+                        
+                 #   print(di, node_res_di, node_j_res_di, other_score)
+            node.tscore_tmp  += stable(node_res, node_j_res, node_mut, node_j_mut, theta, zeta) / (other_score + 1.0) + node_j.tscore_tmp
+        
+    return phylo_tree.root.tscore_tmp
+
+def removeUnResNodeLeavesRes(node):     
+    if node.subleaves_count == node.un_subleaves_count:
+        return None
+    elif len(node.children) == 0:
+        newnode = ResTreeNode(node.node_id)
+        newnode.e_len = node.e_len
+        newnode.label = node.label
+        newnode.ecolor = node.ecolor
+        newnode.observed_res_state = node.observed_res_state
+    #    newnode.observed_mut_state = node.observed_mut_state
+        return newnode
+    else:
+        child_new_nodes = []
+        for child_node in node.children:
+            child_newnode = removeUnResNodeLeavesRes(child_node)
+            if child_newnode != None:
+                child_new_nodes.append(child_newnode)
+        if len(child_new_nodes) == 0:
+            return None
+        elif len(child_new_nodes) == 1:
+            return child_new_nodes[0]
+        else:
+            newnode = ResTreeNode(node.node_id)
+            newnode.e_len = node.e_len
+            newnode.ecolor = node.ecolor
+            newnode.children = child_new_nodes
+            for child_newnode in child_new_nodes:
+                child_newnode.parent = newnode
+        return newnode
+        
+    return newnode
+    
+def removeUnResLeaves(phylo_tree):
+    newtree = ResTree(phylo_tree.root.subleaves_count - phylo_tree.root.un_subleaves_count)
+    newtree.root = removeUnResNodeLeavesRes(phylo_tree.root)
+    newtree.root_id = phylo_tree.root_id
+    
+    queue = deque([])
+    queue.append(newtree.root)
+    
+    newtree.leaves_count = 0
+    newtree.leaf_ids = []
+    newtree.leaves = []
+    
+    while queue:
+        node = queue.popleft()
+        if node == None:
+            continue
+        
+        newtree.nodes[node.node_id] = node
+        if len(node.children) == 0:
+            newtree.leaf_ids.append(node.node_id)
+            newtree.leaves.append(node)
+        for child_node in node.children:
+            queue.append(child_node)
+    
+    newtree.leaves_count = len(newtree.leaf_ids)    
+    newtree.nodes_count = len(newtree.nodes)
+    return newtree
+    
diff --git a/src/drsoft/modelling/oldhabib.py b/src/drsoft/modelling/oldhabib.py
new file mode 100644
index 0000000..1930288
--- /dev/null
+++ b/src/drsoft/modelling/oldhabib.py
@@ -0,0 +1,233 @@
+import sys
+from collections import deque
+
+from decimal import Decimal
+
+from drsoft.modelling.model_logic import *
+from drsoft.utils.gwamar_stat_utils import *
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_generator_utils import generateSumProfiles
+
+
+def calcGeneResTreeSupports(gene_profile, res_profile, tree):
+    if gene_profile.mutationsCount() == 1 and gene_profile.getMutation().res_tree_support > 0:
+        return gene_profile.getMutation().res_tree_support
+    elif (len(gene_profile.getMutated() & res_profile.getSusceptible()) >0):
+        return 0;
+    else:
+        tree.setResMutation(gene_profile.bin_profile, res_profile)
+        return tree.calcChanges()      
+    
+def calcWnmMAT(tree, n, m):
+    queue = deque([])
+    count_map = {}
+    
+    for node in tree.nodes.values():
+        node.visited = 0
+        count_map[node.node_id] = {}
+        for r in range(n+1):
+            for s in range(m + 1):
+                if (r == 0 and s == 0):
+                    count_map[node.node_id][(r,s,1)] = 1
+                    count_map[node.node_id][(r,s,0)] = 1
+                else:
+                    count_map[node.node_id][(r,s,1)] = 0
+                    count_map[node.node_id][(r,s,0)] = 0                
+
+    for i in tree.leaf_ids:
+        node = tree.nodes[i]
+        queue.append(node.parent)
+        
+    while queue:
+        node = queue.popleft()
+        if node == None:
+            continue
+        node.visited += 1
+        if node.visited < len(node.children):
+            continue
+        i= node.node_id
+        
+        children_list = list(node.children)
+        
+        nx = min(n, node.subnodes_count)
+        mx = min(m, node.subnodes_count)
+        
+        for nt in range(nx+1):
+            for mt in range(mx+1):
+                wnm = 0
+                
+                for r in range(nt + 1):
+                    for gain_profile in generateSumProfiles(len(children_list), r, 1):
+                        for gain_subprofile in generateSumProfiles(len(children_list), nt-r, nt):
+                            wnm_tmp = 1
+                            for j in range(len(children_list)):
+                                node_id_j = children_list[j].node_id
+                                
+                                wnm_tmp *= count_map[node_id_j].get((gain_subprofile[j], 0, gain_profile[j]), 0)
+                                if wnm_tmp == 0:
+                                    break
+                            wnm += wnm_tmp
+                count_map[node.node_id][(nt,mt,0)] = wnm
+        queue.append(node.parent)
+    return count_map[tree.root.node_id]
+
+    
+def calcBpqnmMAT(tree, p, q, n, m):
+    queue = deque([])
+    count_map = {}
+    
+    p = min(p,n)
+    q = min(q,m)
+    
+    for node in tree.nodes.values():
+        node.visited = 0
+        count_map[node.node_id] = {}
+        for r in range(n+1):
+            for s in range(m+1):
+                for t in range(0, min(p,r)+1, 1):
+                    for u in range(0, min(q,s)+1, 1):
+                        if (t == 0 and u == 0 and r == 0 and s == 0):
+                            count_map[node.node_id][(t,u,r,s,1)] = 1
+                            count_map[node.node_id][(t,u,r,s,0)] = 1
+                        else:
+                            count_map[node.node_id][(t,u,r,s,1)] = 0
+                            count_map[node.node_id][(t,u,r,s,0)] = 0                
+
+    for i in tree.leaf_ids:
+        node = tree.nodes[i]
+        queue.append(node.parent)
+        
+    while queue:
+        node = queue.popleft()
+        if node == None:
+            continue
+        node.visited += 1
+        if node.visited < len(node.children):
+            continue
+        i = node.node_id
+        
+        children_list = list(node.children)
+        
+        nx = min(n, node.subnodes_count)
+        mx = min(m, node.subnodes_count)
+        px = min(nx,p)
+        qx = min(mx,q)
+        
+   #     print("XXX", px, qx, nx, mx)
+
+        for nt in range(nx+1):
+            for mt in range(mx+1):        
+                for pt in range(0, min(px,nt)+1, 1):
+                    for qt in range(0, min(qx,mt)+1, 1):
+                        wnm = 0
+                        
+                        for r in range(nt + 1):
+                            for gain_r_profile in generateSumProfiles(len(children_list), r, 1):
+                                ur = 0
+                                for j in range(len(children_list)):
+                                    node_j = children_list[j]
+                                    if gain_r_profile[j] == 1 and node.complete_res_state == "S" and node_j.complete_res_state == "R":
+                                        ur += 1
+                                        
+                                for gain_r_subprofile in generateSumProfiles(len(children_list), nt-r, nt):
+                                    for gain_u_subprofile in generateSumProfiles(len(children_list), pt-ur, pt):
+                                        wnm_tmp = 1
+                                        for j in range(len(children_list)):
+                                            node_id_j = children_list[j].node_id
+                                            
+                                            if gain_u_subprofile[j] > gain_r_subprofile[j]:
+                                                wnm_tmp = 0
+                                                break
+                                            wnm_tmp *= count_map[node_id_j].get((gain_u_subprofile[j], 0, gain_r_subprofile[j], 0, gain_r_profile[j]),0)
+                                            if wnm_tmp == 0:
+                                                break
+                                        wnm += wnm_tmp
+                    #    print(pt,qt,nt, mt, 0, wnm)
+                        count_map[node.node_id][(pt,qt,nt, mt, 0)] = wnm
+        queue.append(node.parent)
+        
+    return count_map[tree.root.node_id]
+        
+def calcRSPQ(tree):
+    p=0
+    q=0
+    r=0
+    s=0
+    queue = deque([])
+    
+    for node in tree.nodes.values():
+        node.visited = 0
+
+    for i in tree.leaf_ids:
+        node = tree.nodes[i]      
+        queue.append(node.parent)
+        
+    while queue:
+        node = queue.popleft()
+        if node == None:
+            continue
+        node.visited += 1
+        if node.visited < len(node.children):
+            continue
+        i = node.node_id
+        
+        children_list = list(node.children)
+        
+        for j in range(len(children_list)):
+            node_j = children_list[j]
+            if node.complete_res_state == "S" and node_j.complete_res_state == "R":
+                if node.complete_mut_state == '0' and node_j.complete_mut_state == "1":
+                    p += 1       
+            elif node.complete_res_state == "R" and node_j.complete_res_state == "S":
+                if node.complete_mut_state == '1' and node_j.complete_mut_state == "0":
+                    q += 1
+            if node.complete_mut_state == "0" and node_j.complete_mut_state == "1":
+                r += 1
+            elif node.complete_mut_state == "1" and node_j.complete_mut_state == "0":
+                s += 1
+                print("SSS", node.node_id, node_j.node_id, node.complete_mut_state, node_j.complete_mut_state)
+                for i in sorted(tree.nodes.keys()):
+                    node_t = tree.nodes[i]
+                    print("E", node_t.node_id, node_t.complete_mut_state, node_t.q_subleaves_count, node_t.abs_subleaves_count, node_t.pres_subleaves_count, node_t.subleaves_count)
+                print(tree)
+            
+        #print(i,node.visited, len(children_list), r, s, p, q, n, m)
+                    #    print(pt,qt,nt, mt, 0, wnm)
+        queue.append(node.parent)
+
+    return r,s,p,q
+
+
+    
+def calcNM(tree):
+    n=0
+    m=0
+    queue = deque([])
+    
+    for node in tree.nodes.values():
+        node.visited = 0
+
+    for i in tree.leaf_ids:
+        node = tree.nodes[i]      
+        queue.append(node.parent)
+        
+    while queue:
+        node = queue.popleft()
+        if node == None:
+            continue
+        node.visited += 1
+        if node.visited < len(node.children):
+            continue
+        i = node.node_id
+        
+        children_list = list(node.children)
+        
+        for j in range(len(children_list)):
+            node_j = children_list[j]
+            if node.complete_res_state == "S" and node_j.complete_res_state == "R":
+                n += 1   
+            elif node.complete_res_state == "R" and node_j.complete_res_state == "S":
+                m += 1  
+        queue.append(node.parent)
+
+    return n,m
\ No newline at end of file
diff --git a/src/drsoft/modelling/snew.py b/src/drsoft/modelling/snew.py
new file mode 100644
index 0000000..8e22f16
--- /dev/null
+++ b/src/drsoft/modelling/snew.py
@@ -0,0 +1,157 @@
+import sys
+from collections import deque
+
+from drsoft.modelling.model_logic import *
+from drsoft.utils.gwamar_stat_utils import *
+from drsoft.utils.gwamar_generator_utils import generateSumProfiles
+
+
+def colorEdges(tree, alg=0, overwrite=False):
+    if alg == 0: # color all edges coming to resistant nodes
+        for node in list(tree.leaves) + tree.inner_nodes_bu:
+            if node.complete_res_state == "R":
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "b"
+            else:
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "w"
+    elif alg == 1: # color only edges with S->R
+        for node in list(tree.leaves) + tree.inner_nodes_bu:
+            if node.complete_res_state == "R" and (node.parent == None or node.parent.complete_res_state == "S"):
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "b"
+            else:
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "w"
+    return None
+
+def calcN(tree):
+    for node in tree.nodes.values():
+        node.n = node.subleaves_count
+    return tree.root.n
+
+def calcMaxN(tree):
+    for node in tree.leaves:
+        node.maxn = 1
+
+    for node in tree.inner_nodes_bu:
+        sum_tmp = 0
+        any_more_1 = False
+        all_leaves = True
+        for ch_node in node.children:
+            sum_tmp += ch_node.maxn
+            if ch_node.maxn > 1:
+                any_more_1 = True
+            if not ch_node.is_leaf():
+                all_leaves = False 
+        if any_more_1:
+            node.maxn = sum_tmp
+        elif not all_leaves:
+            node.maxn = sum_tmp
+        else:
+            node.maxn = len(node.children)-1
+
+    return tree.root.maxn
+
+def calcWnMAT(tree, n1):
+    for node in tree.leaves:
+        node.vn = {0:1, 1:0}
+
+    for node in tree.inner_nodes_bu:
+        node.vn = {0: 1}
+
+        children_list = node.children
+        k = len(children_list)
+
+        for n in range(1, node.maxn+1, 1):
+            node.vn[n] = 0
+
+            for p in range(min(n+1, k)):
+                for gl in generateSumProfiles2(k, p, ub=[1]*k):
+                    ubl = []
+                    for i in range(k):
+                        node_i = children_list[i]
+                        
+                        if gl[i] == 1: ubl.append(0)
+                        else: ubl.append(node_i.maxn)
+
+                    for nv in generateSumProfiles2(k, n-p, ub=ubl):
+                        print("x", node.node_id, node.maxn, n, gl, nv)
+                        c = 1
+                        for i in range(k):
+                            if gl[i] == 0:
+                                c *= children_list[i].vn[nv[i]]
+                        node.vn[n] += c
+    for node in tree.inner_nodes_bu:
+        print(node.node_id, len(node.children), node.vn)
+    return tree.root.vn
+
+def calcPnmkMAT(tree, n1, n2):
+    mem = {}
+
+    for node in tree.leaves:
+        node.bnmk = {}
+        mem[node.topos] = {}
+        node.bnmk[(0,0,0)] = 1
+        mem[node.topos][(0,0,0)] = 1
+
+        for m in range(node.n+1):
+            node.bnmk[(node.n, m, m)] = node.vn[m]
+            mem[node.topos][(node.n, m, m)] = node.vn[m]
+            for k in range(m):
+                node.bnmk[(node.n, m, k)] = 0
+                mem[node.topos][(node.n, m, k)] = 0
+
+    for node in tree.inner_nodes_bu:
+        if node.topos in mem:
+            continue
+        node.bnmk = {}
+        mem[node.topos] = {}
+        node.bnmk[(0,0,0)] = 1
+        mem[node.topos][(0,0,0)] = 1
+
+        for m in range(node.n+1):
+            node.bnmk[(node.n, m, m)] = node.vn[m]
+            mem[node.topos][(node.n, m, m)] = node.vn[m]
+            for k in range(m):
+                node.bnmk[(node.n, m, k)] = 0
+                mem[node.topos][(node.n, m, k)] = 0
+
+        children_list = node.children
+        r = len(node.children)
+
+        for n in range(0, min(n1+1, node.n), 1):
+            print(node.node_id, r, node.n, n)
+            for m in range(0, min(n2, n)+1, 1):
+                for k in range(max(0, n+m-node.n), min(m, node.n)+1, 1):
+
+                    if r == node.n:
+                        bnmk_tmp = binom(node.n, m)*binom(m, k)*binom(node.n-m, n-k)            
+                    else:
+                        ubn = []
+                        for i in range(r):
+                            ubn.append(children_list[i].n)
+                        bnmk_tmp = 0
+
+                        for nv in generateSumProfiles2(r, n, ub=ubn):
+                            for mv in generateSumProfiles2(r, m, ub=ubn):
+                                ubk = []
+                                lbk = []
+                                for i in range(r):
+                                    lbk.append(max(0, nv[i]+mv[i]-children_list[i].n))
+                                    ubk.append(min(mv[i], nv[i]))
+
+                                for kv in generateSumProfiles2(r, k, lb=lbk, ub=ubk):
+                                    c = 1
+                                    for i in range(r):
+                                        if nv[i] >= mv[i]:
+                                            c *= mem[children_list[i].topos][(nv[i], mv[i], kv[i])]
+                                        else:
+                                            c *= mem[children_list[i].topos][(mv[i], nv[i], kv[i])]
+                                    bnmk_tmp += c
+                    node.bnmk[(n,m,k)] = bnmk_tmp
+                    mem[node.topos][(n,m,k)] = bnmk_tmp
+    tree.root.bnmk = mem[tree.root.topos]
+    return tree.root.bnmk
+
+
diff --git a/src/drsoft/modelling/stgh.py b/src/drsoft/modelling/stgh.py
new file mode 100644
index 0000000..69f91a0
--- /dev/null
+++ b/src/drsoft/modelling/stgh.py
@@ -0,0 +1,124 @@
+import sys
+from collections import deque
+
+from drsoft.modelling.model_logic import *
+from drsoft.utils.gwamar_stat_utils import *
+from drsoft.utils.gwamar_generator_utils import generateSumProfiles
+
+
+def colorEdges(tree, alg=0, overwrite=False):
+    if alg == 0: # color all edges coming to resistant nodes
+        for node in list(tree.leaves) + tree.inner_nodes_bu:
+            if node.complete_res_state == "R":
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "b"
+            else:
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "w"
+    elif alg == 1: # color all edges with S->R
+        for node in list(tree.leaves) + tree.inner_nodes_bu:
+            if node.complete_res_state == "R" and (node.parent == None or node.parent.complete_res_state == "S"):
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "b"
+            else:
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "w"
+    return None
+
+def calcN(tree):
+    for node in tree.nodes.values():
+        node.n = node.subleaves_count
+    return tree.root.n
+
+def calcVnMAT(tree, n1):
+    for node in tree.nodes.values():
+        node.vn = {}                             
+        node.vn[0] = 1
+        node.vn[1] = node.n
+        node.vn[node.n] = 1
+
+    for node in tree.inner_nodes_bu:
+        children_list = node.children
+        r = len(node.children)
+
+        for n in range(2, node.n, 1):
+            node.vn[n] = 0
+            ubn = []
+            for j in range(r):
+                ubn.append(children_list[j].n)
+            for nv in generateSumProfiles2(r, n, ub=ubn):
+                c = 1
+                for j in range(r):
+                    c *= children_list[j].vn[nv[j]]
+                node.vn[n] += c
+    return tree.root.vn
+
+def calcBnmkMAT(tree, n1, n2):
+    mem = {}
+
+    for node in tree.leaves:
+        node.bnmk = {}
+        mem[node.topos] = {}
+        node.bnmk[(0,0,0)] = 1
+        mem[node.topos][(0,0,0)] = 1
+
+        for m in range(node.n+1):
+            node.bnmk[(node.n, m, m)] = node.vn[m]
+            mem[node.topos][(node.n, m, m)] = node.vn[m]
+            for k in range(m):
+                node.bnmk[(node.n, m, k)] = 0
+                mem[node.topos][(node.n, m, k)] = 0
+
+    for node in tree.inner_nodes_bu:
+        if node.topos in mem:
+            continue
+        node.bnmk = {}
+        mem[node.topos] = {}
+        node.bnmk[(0,0,0)] = 1
+        mem[node.topos][(0,0,0)] = 1
+
+        for m in range(node.n+1):
+            node.bnmk[(node.n, m, m)] = node.vn[m]
+            mem[node.topos][(node.n, m, m)] = node.vn[m]
+            for k in range(m):
+                node.bnmk[(node.n, m, k)] = 0
+                mem[node.topos][(node.n, m, k)] = 0
+
+        children_list = node.children
+        r = len(node.children)
+
+        for n in range(0, min(n1+1, node.n), 1):
+            print(node.node_id, r, node.n, n)
+            for m in range(0, min(n2, n)+1, 1):
+                for k in range(max(0, n+m-node.n), min(m, node.n)+1, 1):
+
+                    if r == node.n:
+                        bnmk_tmp = binom(node.n, m)*binom(m, k)*binom(node.n-m, n-k)            
+                    else:
+                        ubn = []
+                        for i in range(r):
+                            ubn.append(children_list[i].n)
+                        bnmk_tmp = 0
+
+                        for nv in generateSumProfiles2(r, n, ub=ubn):
+                            for mv in generateSumProfiles2(r, m, ub=ubn):
+                                ubk = []
+                                lbk = []
+                                for i in range(r):
+                                    lbk.append(max(0, nv[i]+mv[i]-children_list[i].n))
+                                    ubk.append(min(mv[i], nv[i]))
+
+                                for kv in generateSumProfiles2(r, k, lb=lbk, ub=ubk):
+                                    c = 1
+                                    for i in range(r):
+                                        if nv[i] >= mv[i]:
+                                            c *= mem[children_list[i].topos][(nv[i], mv[i], kv[i])]
+                                        else:
+                                            c *= mem[children_list[i].topos][(mv[i], nv[i], kv[i])]
+                                    bnmk_tmp += c
+                    node.bnmk[(n,m,k)] = bnmk_tmp
+                    mem[node.topos][(n,m,k)] = bnmk_tmp
+    tree.root.bnmk = mem[tree.root.topos]
+    return tree.root.bnmk
+
+
diff --git a/src/drsoft/modelling/tgh.py b/src/drsoft/modelling/tgh.py
new file mode 100644
index 0000000..a8eef7b
--- /dev/null
+++ b/src/drsoft/modelling/tgh.py
@@ -0,0 +1,349 @@
+import os
+import sys
+from decimal import Decimal
+
+from collections import deque
+
+from drsoft.modelling.treeutils import *
+from drsoft.utils.gwamar_stat_utils import *
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_generator_utils import generateSumProfiles
+
+def colorEdges(tree, alg=0, overwrite=False):
+    if alg == 0: # color all edges coming to resistant nodes
+        for node in list(tree.leaves) + tree.inner_nodes_bu:
+            if node.complete_res_state == "R":
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "b"
+            else:
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "w"
+    elif alg == 1: # color all edges with S->R
+        for node in list(tree.leaves) + tree.inner_nodes_bu:
+            if node.complete_res_state == "R" and (node.parent == None or node.parent.complete_res_state == "S"):
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "b"
+            else:
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "w"
+    return None
+
+def calcFastBC(tree):
+    for node in tree.leaves: node.bc = 0
+    for node in tree.inner_nodes_bu:
+        node.bc = 0
+        for node_j in node.children:
+            if node_j.ecolor == "b":
+                node.bc += 1
+    return tree.root.bc
+
+def calcFastN(tree, w2=False):
+    for node in tree.leaves: node.maxn = 1
+
+    if w2:
+        for node in tree.inner_nodes_bu:
+            sum_tmp = 0
+            all_leaves = True
+            for ch_node in node.children:
+                sum_tmp += max(1, ch_node.maxn)
+                if not ch_node.is_leaf():
+                    all_leaves = False 
+            if all_leaves:
+                node.maxn = len(node.children)-1
+            else:
+                node.maxn = sum_tmp
+    else:
+        for node in tree.inner_nodes_bu:
+            node.maxn = 0
+            for ch_node in node.children:
+                node.maxn += max(ch_node.maxn, 1)
+    
+    # for node in tree.nodes.values():
+    #   print(node.topos, node.maxn, tree.root.maxn)
+    
+    return tree.root.maxn
+
+def calcFastP(tree, w2=False):
+    for node in tree.leaves: 
+        node.maxp0 = 0
+        if node.ecolor == "b": node.maxp = 1
+        else: node.maxp = 0
+
+    if w2:
+       # print("here, maxp")
+        for node in tree.inner_nodes_bu:
+            sum_tmp = 0
+            all_black = True
+            for ch_node in node.children:
+                sum_tmp += ch_node.maxp
+                if ch_node.ecolor != "b": all_black = False
+                
+            if all_black:
+                sum_tmp_max = 0
+                for ch_node in node.children:
+                    sum_tmp_max = max(sum_tmp_max, sum_tmp - ch_node.maxp + ch_node.maxp0)
+                node.maxp0 = sum_tmp_max
+                if node.ecolor == "b": node.maxp = max(1, sum_tmp_max)
+                else: node.maxp = sum_tmp_max
+            else:
+                node.maxp0 = sum_tmp
+                if node.ecolor == "b": node.maxp = max(1, sum_tmp)
+                else: node.maxp = sum_tmp
+    else:
+        # print("there, maxp")
+        for node in tree.inner_nodes_bu:
+            sum_tmp = 0
+            for ch_node in node.children:
+                sum_tmp += ch_node.maxp
+            if node.ecolor == "b": node.maxp = max(1, sum_tmp)
+            else: node.maxp = sum_tmp
+    # for node in tree.nodes.values():
+    #     print("maxp", node.node_id, node.maxp)
+
+    return tree.root.maxp
+
+def calcFastWnMAT(tree, maxn_t=None, opt=False, w2=True):
+    for node in tree.leaves:
+        node.count_map = {}                             
+        node.count_map[0] = 1
+
+    for node in tree.inner_nodes_bu:
+        node.count_map = {}
+        children_list = node.children
+        k = len(node.children)
+
+        maxn = min(maxn_t, node.maxn)
+
+        for nt in range(maxn+1):
+            if w2: maxr = min(nt, k-1, node.maxn)
+            else: maxr = min(nt, k, node.maxn)
+            
+            if opt and (k+1 == node.subnodes_count):
+                if w2 and k == nt: wnm = 0
+                else: wnm = binom(k, nt)
+            else:
+                wnm = 0
+            
+                for r in range( maxr+1):
+                 #   if w2 == False and r==k: wnm += 1
+                    for gain_profile in generateSumProfiles2(k, r, ub=[1]*k,lb=[0]*k):
+                        gain_bound = []
+                        for j in range(k): 
+                            if gain_profile[j] == 1: 
+                                gain_bound.append(0)
+                            else:
+                                gain_bound.append(node.maxn)
+                        for gain_subprofile in generateSumProfiles2(k, nt-r, ub=gain_bound):
+                            wnm_tmp = 1
+                            for j in range(k):
+                                if gain_profile[j] == 0:
+                                    node_j = node.children[j]
+                                    wnm_tmp *= node_j.count_map.get(gain_subprofile[j], 0)
+                                    if wnm_tmp == 0:
+                                        break    
+                            wnm += wnm_tmp
+            node.count_map[nt] = wnm
+    return tree.root.count_map
+
+def calcFastRP(tree):
+    # r - total number of 0->1 changes 
+    # p - total number of 0->1 changes on black edges
+    r,p = 0,0
+    for node in tree.inner_nodes_bu:
+        for node_j in node.children:
+            if node.complete_mut_state == '0' and node_j.complete_mut_state == "1":
+                r += 1
+                if node_j.ecolor == "b":
+                    p += 1
+    return r,p
+
+def calcFastBpnMAT(tree, maxp_t, maxn_t, opt=False, w2=True, mem={}):
+#    mem = {}
+
+    for node in tree.leaves:
+        mem[node.topos] = {}
+        mem[node.topos][(0,0)] = 1
+        
+    for node in tree.inner_nodes_bu:
+        maxn = min(maxn_t, node.maxn)
+        maxp = min(maxp_t, node.maxp)
+
+        if node.topos in mem and (maxp, maxn) in mem[node.topos]:
+            continue
+        if not node.topos in mem: mem[node.topos] = {}
+        
+        children_list = list(node.children)
+        k = len(children_list)
+
+        for nt in range(maxn + 1): # liczba wybranych
+            maxp = min(node.maxp, nt, maxp_t)
+            if (maxp, nt) in mem[node.topos]:
+                continue
+            for pt in range(maxp + 1):     # liczba pokrytych
+                if (pt, nt) in mem[node.topos]:
+                    continue
+
+                if opt and (k+1 == node.subnodes_count):
+                    if w2 and k == nt: wnm = 0
+                    else: wnm = binom(node.bc, pt) * binom(k-node.bc, nt-pt)
+                else:
+                    wnm = 0
+                    if w2: maxr = min(k-1, nt)
+                    else: maxr = min(k, nt)
+                    for r in range(maxr + 1):
+                        for gain_r_profile in generateSumProfiles2(k, r, ub=[1]*k,lb=[0]*k):
+                            ur = 0 # liczba trafionych
+                            gain_r_bound = []
+                            for j in range(k):
+                                node_j = children_list[j]
+                                if gain_r_profile[j] == 1:
+                                    gain_r_bound.append(0)
+                                    if  node_j.ecolor == "b":
+                                        ur += 1
+                                elif gain_r_profile[j] == 0:
+                                    gain_r_bound.append(min(node_j.maxn, nt-r))
+
+                            for gain_r_subprofile in generateSumProfiles2(k, nt-r, ub=gain_r_bound):
+                                gain_p_bound = []
+                                for j in range(k):
+                                    node_j = children_list[j]
+                                    gain_p_bound.append(min(node_j.maxp, gain_r_subprofile[j]))
+
+                                for gain_u_subprofile in generateSumProfiles2(k, pt-ur, ub=gain_p_bound):
+                                    wnm_tmp = 1
+
+                                    for j in range(k):
+                                        if gain_r_profile[j] == 0:
+                                            node_j = children_list[j]
+                                            ptmp, ntmp = gain_u_subprofile[j], gain_r_subprofile[j]
+                                            wnm_tmp *= mem[node_j.topos].get((ptmp, ntmp), 0)
+                                            if wnm_tmp == 0:
+                                                break
+                                    wnm += wnm_tmp
+
+                mem[node.topos][(pt,nt)] = wnm
+    return mem
+
+
+    
+def calcBinProfilesTGH(bin_profiles, drp, trees_list, norm=False, opt=True, w2=True, mem={}):
+    scores = {}
+    
+    for bin_profile_id, bin_profile in bin_profiles.items():
+        scores[bin_profile_id] = []
+    
+    for tree in trees_list:
+        tree.setObservedResProfile(drp.full_profile)
+        tree.calcInnerNodesBU()
+        calcSubleavesResCount(tree)
+        calcSubnodesCount(tree)
+
+        if len(drp.getResistant()) == 0:
+            continue
+        
+        newtree = removeUnResLeaves(tree)
+        newtree.calcInnerNodesBU()
+        newtree.setObservedResProfile(drp.full_profile)
+        calcSubleavesResCount(newtree)
+        calcSubnodesCount(newtree)
+        calcDetParsResModel(newtree)
+        colorEdges(newtree, alg=0, overwrite=False)
+        computeTopos(newtree, r=True)
+
+        maxn = 0
+        maxp = 0
+
+        n_dist = {}
+        
+        for bin_profile_id, gen_bin_profile in bin_profiles.items():
+            for bin_profile in specBinProfiles(gen_bin_profile):
+                newtree.setObservedMutProfile(bin_profile)
+                calcSubleavesMutCount(newtree)
+                calcDetParsMutModel(newtree)
+                r,p = calcFastRP(newtree)
+                maxn = max(maxn,r)
+                maxp = max(maxp,p)
+                if not r in n_dist:
+                    n_dist[r] = 0.0
+                n_dist[r] += 1.0
+        
+        calcFastBC(newtree)
+        nx = calcFastN(newtree, w2=w2)
+        px = calcFastP(newtree, w2=w2)
+
+        t0 = time.time()
+        wn_mat = calcFastWnMAT(newtree, maxn, opt=opt, w2=w2)
+        t1 = time.time()
+
+
+        mem = calcFastBpnMAT(newtree, maxp, maxn, opt=opt, w2=w2, mem=mem)
+        bpn_mat = mem[newtree.root.topos]
+
+        t2 = time.time()
+
+        for bin_profile_id, gen_bin_profile in bin_profiles.items():
+            score = 0.0
+            for bin_profile in specBinProfiles(gen_bin_profile):
+                newtree.setObservedMutProfile(bin_profile)
+                calcSubleavesMutCount(newtree)
+                calcDetParsMutModel(newtree)
+                
+                r,p = calcFastRP(newtree)
+
+                bs = wn_mat[r]
+                for pt in range(p):
+                    bs -= bpn_mat[(pt, r)]
+
+                cct_score = Decimal(bs) / Decimal(wn_mat[r])
+                try:
+                    if norm:
+                        score += -math.log(float(cct_score)*n_dist[r])
+                    else:
+                        score += -math.log(float(cct_score))
+                except:
+                    pass
+                 
+            scores[bin_profile_id].append(score)
+
+    scores_mean = {}
+    
+    for bin_profile_id in scores:
+        scores_mean[bin_profile_id] = mean(scores[bin_profile_id])
+
+    return scores_mean, mem
+
+
+def readTGHMem(mem_fn):
+    if not os.path.exists(mem_fn):
+        return {}
+    mem = {}
+
+    input_fh = open(mem_fn)
+    lines = input_fh.readlines()
+    input_fh.close()
+    
+    topo = ""
+    for line in lines:
+        tokens = line.split()
+        if len(tokens) < 1: 
+            continue
+        elif len(tokens) == 1:
+            topo = tokens[0]
+            if not topo in mem:
+                mem[topo] = {}
+        else:
+            k,n,b = map(int, tokens)
+            mem[topo][(k,n)] = b
+
+    return mem
+
+def saveTGHMem(mem, mem_fn):
+    output_fh = open(mem_fn, "w")
+    topo_sorted = sorted(mem.keys(), key=lambda topo:(len(topo), topo))
+    for topo in topo_sorted:
+        output_fh.write(topo + "\n")
+        for (k, n) in sorted(mem[topo], key=lambda kn:(kn[1],kn[0])):
+            b = mem[topo][(k,n)]
+            output_fh.write("\t".join(map(str,[k, n, b])) + "\n")
+    output_fh.close()
+
diff --git a/src/drsoft/modelling/tgh2.py b/src/drsoft/modelling/tgh2.py
new file mode 100644
index 0000000..a5f21f8
--- /dev/null
+++ b/src/drsoft/modelling/tgh2.py
@@ -0,0 +1,353 @@
+import os
+import sys
+from decimal import Decimal
+
+from collections import deque
+
+from drsoft.modelling.treeutils import *
+from drsoft.utils.gwamar_stat_utils import *
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_generator_utils import generateSumProfiles
+
+def colorEdges(tree, alg=0, overwrite=False):
+    if alg == 0: # color all edges coming to resistant nodes
+        for node in list(tree.leaves) + tree.inner_nodes_bu:
+            if node.complete_res_state == "R":
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "b"
+            else:
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "w"
+    elif alg == 1: # color all edges with S->R
+        for node in list(tree.leaves) + tree.inner_nodes_bu:
+            if node.complete_res_state == "R" and (node.parent == None or node.parent.complete_res_state == "S"):
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "b"
+            else:
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "w"
+    return None
+
+def calcFastBC(tree):
+    for node in tree.leaves: node.bc = 0
+    for node in tree.inner_nodes_bu:
+        node.bc = 0
+        for node_j in node.children:
+            if node_j.ecolor == "b":
+                node.bc += 1
+    return tree.root.bc
+
+def calcFastN(tree, w2=False):
+    for node in tree.leaves: node.maxn = 1
+
+    if w2:
+        for node in tree.inner_nodes_bu:
+            sum_tmp = 0
+            all_leaves = True
+            for ch_node in node.children:
+                sum_tmp += max(1, ch_node.maxn)
+                if not ch_node.is_leaf():
+                    all_leaves = False 
+            if all_leaves:
+                node.maxn = len(node.children)-1
+            else:
+                node.maxn = sum_tmp
+    else:
+        for node in tree.inner_nodes_bu:
+            node.maxn = 0
+            for ch_node in node.children:
+                node.maxn += max(ch_node.maxn, 1)
+    
+    # for node in tree.nodes.values():
+    #   print(node.topos, node.maxn, tree.root.maxn)
+    
+    return tree.root.maxn
+
+def calcFastP(tree, w2=False):
+    for node in tree.leaves: 
+        node.maxp0 = 0
+        if node.ecolor == "b": node.maxp = 1
+        else: node.maxp = 0
+
+    if w2:
+       # print("here, maxp")
+        for node in tree.inner_nodes_bu:
+            sum_tmp = 0
+            all_black = True
+            for ch_node in node.children:
+                sum_tmp += ch_node.maxp
+                if ch_node.ecolor != "b": all_black = False
+                
+            if all_black:
+                sum_tmp_max = 0
+                for ch_node in node.children:
+                    sum_tmp_max = max(sum_tmp_max, sum_tmp - ch_node.maxp + ch_node.maxp0)
+                node.maxp0 = sum_tmp_max
+                if node.ecolor == "b": node.maxp = max(1, sum_tmp_max)
+                else: node.maxp = sum_tmp_max
+            else:
+                node.maxp0 = sum_tmp
+                if node.ecolor == "b": node.maxp = max(1, sum_tmp)
+                else: node.maxp = sum_tmp
+    else:
+        # print("there, maxp")
+        for node in tree.inner_nodes_bu:
+            sum_tmp = 0
+            for ch_node in node.children:
+                sum_tmp += ch_node.maxp
+            if node.ecolor == "b": node.maxp = max(1, sum_tmp)
+            else: node.maxp = sum_tmp
+    # for node in tree.nodes.values():
+    #     print("maxp", node.node_id, node.maxp)
+
+    return tree.root.maxp
+
+def calcFastWnMAT(tree, maxn_t=None, opt=False, w2=True):
+    for node in tree.leaves:
+        node.count_map = {}                             
+        node.count_map[0] = 1
+
+    for node in tree.inner_nodes_bu:
+        node.count_map = {}
+        children_list = node.children
+        k = len(node.children)
+
+        maxn = min(maxn_t, node.maxn)
+
+        for nt in range(maxn+1):
+            if w2: maxr = min(nt, k-1, node.maxn)
+            else: maxr = min(nt, k, node.maxn)
+            
+            if opt and (k+1 == node.subnodes_count):
+                if w2 and k == nt: wnm = 0
+                else: wnm = binom(k, nt)
+            else:
+                wnm = 0
+            
+                for r in range( maxr+1):
+                 #   if w2 == False and r==k: wnm += 1
+                    for gain_profile in generateSumProfiles2(k, r, ub=[1]*k,lb=[0]*k):
+                        gain_bound = []
+                        for j in range(k): 
+                            if gain_profile[j] == 1: 
+                                gain_bound.append(0)
+                            else:
+                                gain_bound.append(node.maxn)
+                        for gain_subprofile in generateSumProfiles2(k, nt-r, ub=gain_bound):
+                            wnm_tmp = 1
+                            for j in range(k):
+                                if gain_profile[j] == 0:
+                                    node_j = node.children[j]
+                                    wnm_tmp *= node_j.count_map.get(gain_subprofile[j], 0)
+                                    if wnm_tmp == 0:
+                                        break    
+                            wnm += wnm_tmp
+            node.count_map[nt] = wnm
+    return tree.root.count_map
+
+def calcFastRP(tree):
+    # r - total number of 0->1 changes 
+    # p - total number of 0->1 changes on black edges
+    r,p = 0,0
+    for node in tree.inner_nodes_bu:
+        for node_j in node.children:
+            if node.complete_mut_state == '0' and node_j.complete_mut_state == "1":
+                r += 1
+                if node_j.ecolor == "b":
+                    p += 1
+    return r,p
+
+def calcFastBpnMAT(tree, maxp_t, maxn_t, opt=False, w2=True, mem={}):
+    mem = {}
+
+    for node in tree.leaves:
+        mem[node.topos] = {}
+        mem[node.topos][(0,0)] = 1
+        
+    for node in tree.inner_nodes_bu:
+        maxn = min(maxn_t, node.maxn)
+        maxp = min(node.maxp, maxp_t)
+
+        if node.topos in mem and (maxp, maxn) in mem[node.topos]:
+            continue
+        if not node.topos in mem:
+            mem[node.topos] = {}
+        
+        children_list = list(node.children)
+        k = len(children_list)
+
+        for nt in range(maxn + 1): # liczba wybranych
+            maxp = min(node.maxp, nt, maxp_t)
+            if (maxp, nt) in mem[node.topos]:
+                continue
+            for pt in range(maxp + 1):     # liczba pokrytych
+                if (pt, nt) in mem[node.topos]:
+                    continue
+                if opt and (k+1 == node.subnodes_count):
+                    if w2 and k == nt: wnm = 0
+                    else: wnm = binom(node.bc, pt) * binom(k-node.bc, nt-pt)
+                else:
+                    wnm = 0
+                    if w2: maxr = min(k-1, nt)
+                    else: maxr = min(k, nt)
+                    for r in range(maxr + 1):
+                        for gain_r_profile in generateSumProfiles2(k, r, ub=[1]*k,lb=[0]*k):
+                            ur = 0 # liczba trafionych
+                            gain_r_bound = []
+                            for j in range(k):
+                                node_j = children_list[j]
+                                if gain_r_profile[j] == 1:
+                                    gain_r_bound.append(0)
+                                    if  node_j.ecolor == "b":
+                                        ur += 1
+                                elif gain_r_profile[j] == 0:
+                                    gain_r_bound.append(min(node_j.maxn, nt-r))
+
+                            for gain_r_subprofile in generateSumProfiles2(k, nt-r, ub=gain_r_bound):
+                                gain_p_bound = []
+                                for j in range(k):
+                                    node_j = children_list[j]
+                                    gain_p_bound.append(min(node_j.maxp, gain_r_subprofile[j]))
+
+                                for gain_u_subprofile in generateSumProfiles2(k, pt-ur, ub=gain_p_bound):
+                                    wnm_tmp = 1
+
+                                    for j in range(k):
+                                        if gain_r_profile[j] == 0:
+                                            node_j = children_list[j]
+                                            ptmp, ntmp = gain_u_subprofile[j], gain_r_subprofile[j]
+                                            # if not (ptmp, ntmp) in mem[node_j.topos]:
+                                            #     print("no", node_j.topos, ptmp, ntmp)
+                                            #wnm_tmp *= mem[node_j.topos][(ptmp, ntmp)]
+                                            wnm_tmp *= mem[node_j.topos].get((ptmp, ntmp), 0)
+                                            if wnm_tmp == 0:
+                                                break
+                                    wnm += wnm_tmp
+
+                mem[node.topos][(pt,nt)] = wnm
+    return mem
+
+
+    
+def calcBinProfilesTGH2(bin_profiles, drp, trees_list, norm=False, opt=True, w2=True, mem={}):
+    scores = {}
+    
+    for bin_profile_id, bin_profile in bin_profiles.items():
+        scores[bin_profile_id] = []
+    
+    for tree in trees_list:
+        tree.setObservedResProfile(drp.full_profile)
+        tree.calcInnerNodesBU()
+        calcSubleavesResCount(tree)
+        calcSubnodesCount(tree)
+
+        if len(drp.getResistant()) == 0:
+            continue
+        
+        newtree = removeUnResLeaves(tree)
+        newtree.calcInnerNodesBU()
+        newtree.setObservedResProfile(drp.full_profile)
+        calcSubleavesResCount(newtree)
+        calcSubnodesCount(newtree)
+        calcDetParsResModel(newtree)
+        colorEdges(newtree, alg=0, overwrite=False)
+        computeTopos(newtree, r=True)
+
+        maxn = 0
+        maxp = 0
+
+        n_dist = {}
+        
+        for bin_profile_id, gen_bin_profile in bin_profiles.items():
+            for bin_profile in specBinProfiles(gen_bin_profile):
+                newtree.setObservedMutProfile(bin_profile)
+                calcSubleavesMutCount(newtree)
+                calcDetParsMutModel(newtree)
+                r,p = calcFastRP(newtree)
+                maxn = max(maxn,r)
+                maxp = max(maxp,p)
+                if not r in n_dist:
+                    n_dist[r] = 0.0
+                n_dist[r] += 1.0
+        
+        calcFastBC(newtree)
+        nx = calcFastN(newtree, w2=w2)
+        px = calcFastP(newtree, w2=w2)
+
+        t0 = time.time()
+        wn_mat = calcFastWnMAT(newtree, maxn, opt=opt, w2=w2)
+        t1 = time.time()
+
+
+        mem = calcFastBpnMAT(newtree, maxp, maxn, opt=opt, w2=w2, mem=mem)
+        bpn_mat = mem[newtree.root.topos]
+
+        t2 = time.time()
+
+        for bin_profile_id, gen_bin_profile in bin_profiles.items():
+            score = 0.0
+            for bin_profile in specBinProfiles(gen_bin_profile):
+                newtree.setObservedMutProfile(bin_profile)
+                calcSubleavesMutCount(newtree)
+                calcDetParsMutModel(newtree)
+                
+                r,p = calcFastRP(newtree)
+
+                bs = wn_mat[r]
+                for pt in range(p):
+                    bs -= bpn_mat[(pt, r)]
+
+                cct_score = Decimal(bs) / Decimal(wn_mat[r])
+                try:
+                    if norm:
+                        score += -math.log(float(cct_score)*n_dist[r])
+                    else:
+                        score += -math.log(float(cct_score))
+                except:
+                    pass
+                 
+            scores[bin_profile_id].append(score)
+
+    scores_mean = {}
+    
+    for bin_profile_id in scores:
+        scores_mean[bin_profile_id] = mean(scores[bin_profile_id])
+
+    return scores_mean, mem
+
+
+def readTGHMem(mem_fn):
+    if not os.path.exists(mem_fn):
+        return {}
+    mem = {}
+
+    input_fh = open(mem_fn)
+    lines = input_fh.readlines()
+    input_fh.close()
+    
+    topo = ""
+    for line in lines:
+        tokens = line.split()
+        if len(tokens) < 1: 
+            continue
+        elif len(tokens) == 1:
+            topo = tokens[0]
+            if not topo in mem:
+                mem[topo] = {}
+        else:
+            k,n,b = map(int, tokens)
+            mem[topo][(k,n)] = b
+
+    return mem
+
+def saveTGHMem(mem, mem_fn):
+    output_fh = open(mem_fn, "w")
+    topo_sorted = sorted(mem.keys(), key=lambda topo:(len(topo), topo))
+    for topo in topo_sorted:
+        output_fh.write(topo + "\n")
+        for (k, n) in sorted(mem[topo], key=lambda kn:(kn[1],kn[0])):
+            b = mem[topo][(k,n)]
+            output_fh.write("\t".join(map(str,[k, n, b])) + "\n")
+            #output_fh.write(str(k) + "\t" + str(n) + "\t" + str(b) + "\n")
+    output_fh.close()
+
diff --git a/src/drsoft/modelling/treeutils.py b/src/drsoft/modelling/treeutils.py
new file mode 100644
index 0000000..fa0416e
--- /dev/null
+++ b/src/drsoft/modelling/treeutils.py
@@ -0,0 +1,731 @@
+from collections import deque
+from math import exp
+from math import log
+
+from drsoft.utils.gwamar_generator_utils import *
+from drsoft.structs.res_tree import ResTreeNode, ResTree
+
+
+def changeProb(r, t):
+    if t < 0:
+        return r
+    else:
+        return 1.0 - exp(-r*t) 
+
+def getstable(t=0.5, z=0.0, b=-1.0):
+    score_tab = {
+        "SS00": 0.0,"SS01": b  ,"SS10": 0.0,"SS11": b,
+        "SR00": 0.0,"SR01": 1.0,"SR10": 0.0,"SR11": t,
+        "RS00": 0.0,"RS01":-b  ,"RS10": 1.0,"RS11":-b,
+        "RR00": 0.0,"RR01": t  ,"RR10": 0.0,"RR11": 0+z,
+        "SI00": 0.0,"SI01": 0.5,"SI10": 0.0,"SI11": t/2,
+        "RI00": 0.0,"RI01":-b  ,"RI10": 0.5,"RI11":-b/2,
+        "II00": 0.0,"II01": t/2,"II10": 0.0,"II11": z/2,
+        "IR00": 0.0,"IR01": 0.5,"IR10": 0.0,"IR11":-b }
+    return score_tab
+
+def stable(res_from='R', res_to='S', mut_from='0', mut_to='1', t=0.5, z=0.0, b=-1.0):
+    comb_txt = res_from + res_to + mut_from + mut_to
+    score_tab = getstable(t,z,b)
+    return score_tab.get(comb_txt, 0.0)
+
+def computeTopos(tree, r=False):
+    for node in tree.leaves:
+        if r== True and node.complete_res_state == "R":
+            node.topos = "y"
+        elif r== True:
+            node.topos = "x"
+        else:
+            node.topos = "x"
+        # print(node.node_id, node.topos)
+    for node in tree.inner_nodes_bu:
+        topo = "("
+        for child in sorted(node.children, key=lambda ch:ch.topos):
+            topo += child.topos
+        topo += ")"
+        node.topos = topo
+        #print(node.node_id, node.topos)
+    return tree.root.topos
+
+def calcResCondProbabilities(phylo_tree, eps, alpha, beta):
+    for node in phylo_tree.leaves:
+        if hasattr(node, 'observed_res_prob_state'):
+            node.cond_exp_res = node.observed_res_prob_state
+            node.cond_exp_susc = 1.0 - node.cond_exp_res
+        elif node.observed_res_state == 'R':
+            node.cond_exp_res = 1.0-eps
+            node.cond_exp_susc = eps
+        elif node.observed_res_state == 'S':
+            node.cond_exp_res = eps
+            node.cond_exp_susc = 1.0-eps
+        elif node.observed_res_state == 'I':
+            node.cond_exp_res = 0.5
+            node.cond_exp_susc = 0.5
+        else:
+            node.cond_exp_susc = 1.0
+            node.cond_exp_res = 1.0
+        
+    for node in phylo_tree.inner_nodes_bu:    
+        
+        node.cond_exp_res = 0.0
+        node.cond_exp_susc = 0.0
+        children_list = list(node.children)
+        
+        if len(children_list) > 0:
+            for res_subprofile in generateResistanceProfiles(len(children_list)):
+                prob_res = 1.0
+                prob_susc = 1.0
+                for j in range(len(children_list)):
+                    if res_subprofile[j] == 'R':
+                        prob_res *= children_list[j].cond_exp_res*(1 - changeProb(beta, children_list[j].e_len))
+                        prob_susc *= children_list[j].cond_exp_res*changeProb(alpha, children_list[j].e_len)
+                    elif res_subprofile[j] == 'S':
+                        prob_res *= children_list[j].cond_exp_susc*changeProb(beta, children_list[j].e_len)
+                        prob_susc *= children_list[j].cond_exp_susc*(1 - changeProb(alpha, children_list[j].e_len))
+                    else:
+                        print("error")
+    
+                node.cond_exp_res += prob_res
+                node.cond_exp_susc += prob_susc
+        
+    return None
+
+def calcResCondParentProbabilities(phylo_tree, alpha, beta):
+    #queue = deque([])
+    
+    root = phylo_tree.root
+    root.res_prob = 0.0
+    
+    for node in phylo_tree.inner_nodes_bu[::-1] + list(phylo_tree.leaves):
+        p_node = node.parent
+        if p_node == None: continue
+        cp_alpha = changeProb(alpha, node.e_len)
+        cp_beta = changeProb(beta, node.e_len)
+        try:
+            prob_res_res = node.cond_exp_res * (1-cp_beta) / (node.cond_exp_res * (1-cp_beta) + node.cond_exp_susc * (cp_beta))
+            prob_susc_res = node.cond_exp_res * (cp_alpha) / (node.cond_exp_res * (cp_alpha) + node.cond_exp_susc * (1 - cp_alpha))
+        except:
+            prob_res_res = 1.0
+            prob_susc_res = 0.0
+    
+        node.prob_res_res = prob_res_res
+        node.prob_susc_res = prob_susc_res
+        node.prob_res_susc = 1.0-prob_res_res
+        node.prob_susc_susc = 1.0-prob_susc_res
+        
+        node.res_prob = prob_res_res * p_node.res_prob + prob_susc_res*(1-p_node.res_prob)
+
+    return None
+
+def calulateCompleteResProfile(phylo_tree, eps=0.02, alpha=0.05, beta=0.01):
+    calcResCondProbabilities(phylo_tree, eps, alpha, beta)
+    calcResCondParentProbabilities(phylo_tree, alpha, beta)
+    
+    return None
+
+
+######################################################################
+
+
+def calcMutCondProbabilities(phylo_tree, eps, psi, phi):
+    for node in phylo_tree.leaves:
+        if node.observed_mut_state == '1':
+            node.cond_exp_pres = 1.0-eps
+            node.cond_exp_abs = eps
+        elif node.observed_mut_state == '0':
+            node.cond_exp_pres = eps
+            node.cond_exp_abs = 1.0-eps
+        else:
+            node.cond_exp_pres = 1.0
+            node.cond_exp_abs = 1.0
+
+
+    for node in phylo_tree.inner_nodes_bu:
+        
+        node.cond_exp_pres = 0.0
+        node.cond_exp_abs = 0.0
+        children_list = list(node.children)
+
+        if len(children_list) > 0:
+            for res_subprofile in generateBinMutationProfiles(len(children_list)):
+                prob_pres = 1.0
+                prob_abs = 1.0
+                for j in range(len(children_list)):
+                    if str(res_subprofile[j]) == '1':
+                        prob_pres *= children_list[j].cond_exp_pres*(1 - changeProb(phi, children_list[j].e_len))
+                        prob_abs *= children_list[j].cond_exp_pres*changeProb(psi, children_list[j].e_len)
+                    elif str(res_subprofile[j]) == '0':
+                        prob_pres *= children_list[j].cond_exp_abs*changeProb(phi, children_list[j].e_len)
+                        prob_abs *= children_list[j].cond_exp_abs*(1 - changeProb(psi, children_list[j].e_len))
+                    else:
+                        print("error")
+                node.cond_exp_pres += prob_pres
+                node.cond_exp_abs += prob_abs
+        
+    return None
+
+def calcMutCondParentProbabilities(phylo_tree, psi, phi):
+    root = phylo_tree.root
+    root.mut_prob = 0.0
+    
+    for node in phylo_tree.inner_nodes_bu[::-1] + list(phylo_tree.leaves):
+        p_node = node.parent
+        if p_node == None: continue
+        
+        cp_psi = changeProb(psi, node.e_len)
+        cp_phi = changeProb(phi, node.e_len)
+        
+        try:
+            prob_pres_pres = node.cond_exp_pres * (1-cp_phi) / (node.cond_exp_pres * (1-cp_phi) + node.cond_exp_abs * (cp_phi))
+            prob_abs_pres = node.cond_exp_pres * (cp_psi) / (node.cond_exp_pres * (cp_psi) + node.cond_exp_abs * (1 - cp_psi))
+        except:
+            prob_abs_pres = 0.0
+            prob_pres_pres = 1.0
+
+        node.prob_pres_pres = prob_pres_pres
+        node.prob_abs_pres = prob_abs_pres
+        node.prob_abs_abs = 1.0 - prob_abs_pres
+        node.prob_pres_abs = 1.0 - prob_pres_pres
+    
+        node.mut_prob = prob_pres_pres * p_node.mut_prob + prob_abs_pres*(1-p_node.mut_prob)
+        
+    return None
+
+
+
+def calulateCompleteMutProfile(phylo_tree, eps=0.001, psi=0.1, phi=0.01):
+    calcMutCondProbabilities(phylo_tree, eps, psi, phi)
+    calcMutCondParentProbabilities(phylo_tree, psi, phi)
+    
+    return None
+
+
+def calcTransitionScoreExprectedValue(phylo_tree, theta=0.5, zeta=0.0, beta=-1.0, un = False):
+    for node in phylo_tree.leaves:
+        node.exp_score_res_abs = 0.0
+        node.exp_score_res_pres = 0.0
+        node.exp_score_susc_abs = 0.0
+        node.exp_score_susc_pres = 0.0
+    
+    tstable = getstable(theta, zeta, beta)
+        
+    for node in phylo_tree.inner_nodes_bu:
+        
+        node.exp_score_res_abs = 0.0
+        node.exp_score_res_pres = 0.0
+        node.exp_score_susc_abs = 0.0
+        node.exp_score_susc_pres = 0.0        
+        
+        children_list = list(node.children)
+        if len(children_list) > 0:
+            test_susc_pres = 0.0
+            test_res_pres = 0.0
+            test_susc_abs = 0.0
+            test_res_abs = 0.0
+            for res_subprofile in generateResBinMutationProfiles(len(children_list)):
+                score_res_abs = 0.0
+                score_res_pres = 0.0
+                score_susc_abs = 0.0
+                score_susc_pres = 0.0
+                prob_res_abs = 1.0
+                prob_res_pres = 1.0
+                prob_susc_abs = 1.0
+                prob_susc_pres = 1.0
+                for j in range(len(children_list)):    
+                    node_j = children_list[j]  
+                    
+                    if res_subprofile[j] == "1R":
+                        if un == True or node_j.un_subleaves_count < node_j.subleaves_count:
+                            score_res_abs  += (tstable.get('RR01',0.0) + node_j.exp_score_res_pres)
+                            score_res_pres += (tstable.get('RR11',0.0) + node_j.exp_score_res_pres)
+                            score_susc_abs += (tstable.get('SR01',0.0) + node_j.exp_score_res_pres)
+                            score_susc_pres+= (tstable.get('SR11',0.0) + node_j.exp_score_res_pres)
+                        prob_res_abs   *= node_j.prob_abs_pres*node_j.prob_res_res
+                        prob_res_pres  *= node_j.prob_pres_pres*node_j.prob_res_res
+                        prob_susc_abs  *= node_j.prob_abs_pres*node_j.prob_susc_res
+                        prob_susc_pres *= node_j.prob_pres_pres*node_j.prob_susc_res
+                    elif res_subprofile[j] == "1S":
+    
+                        if un == True or node_j.un_subleaves_count < node_j.subleaves_count:
+                            score_res_abs  += (tstable.get('RS01',0.0) + node_j.exp_score_susc_pres)
+                            score_res_pres += (tstable.get('RS11',0.0) + node_j.exp_score_susc_pres)
+                            score_susc_abs += (tstable.get('SS01',0.0) + node_j.exp_score_susc_pres)
+                            score_susc_pres+= (tstable.get('SS11',0.0) + node_j.exp_score_susc_pres)
+    
+                        prob_res_abs   *= node_j.prob_abs_pres*node_j.prob_res_susc
+                        prob_res_pres  *= node_j.prob_pres_pres*node_j.prob_res_susc
+                        prob_susc_abs  *= node_j.prob_abs_pres*node_j.prob_susc_susc
+                        prob_susc_pres *= node_j.prob_pres_pres*node_j.prob_susc_susc
+                    elif res_subprofile[j] == "0R":
+                        if un == True or node_j.un_subleaves_count < node_j.subleaves_count:
+                            score_res_abs  += (tstable.get('RR00',0.0) + node_j.exp_score_res_abs)
+                            score_res_pres += (tstable.get('RR10',0.0) + node_j.exp_score_res_abs)
+                            score_susc_abs += (tstable.get('SR00',0.0) + node_j.exp_score_res_abs)
+                            score_susc_pres+= (tstable.get('SR10',0.0) + node_j.exp_score_res_abs)
+                        prob_res_abs   *= node_j.prob_abs_abs*node_j.prob_res_res
+                        prob_res_pres  *= node_j.prob_pres_abs*node_j.prob_res_res
+                        prob_susc_abs  *= node_j.prob_abs_abs*node_j.prob_susc_res
+                        prob_susc_pres *= node_j.prob_pres_abs*node_j.prob_susc_res
+                    elif res_subprofile[j] == "0S":
+                        if un == True or node_j.un_subleaves_count < node_j.subleaves_count:
+                            score_res_abs  += (tstable.get('RS00',0.0) + node_j.exp_score_susc_abs)
+                            score_res_pres += (tstable.get('RS10',0.0) + node_j.exp_score_susc_abs)
+                            score_susc_abs += (tstable.get('SS00',0.0) + node_j.exp_score_susc_abs)
+                            score_susc_pres+= (tstable.get('SS10',0.0) + node_j.exp_score_susc_abs)
+                        prob_res_abs   *= node_j.prob_abs_abs*node_j.prob_res_susc
+                        prob_res_pres  *= node_j.prob_pres_abs*node_j.prob_res_susc
+                        prob_susc_abs  *= node_j.prob_abs_abs*node_j.prob_susc_susc
+                        prob_susc_pres *= node_j.prob_pres_abs*node_j.prob_susc_susc
+    
+                node.exp_score_res_abs  += score_res_abs*prob_res_abs
+                node.exp_score_res_pres += score_res_pres*prob_res_pres
+                node.exp_score_susc_abs += score_susc_abs*prob_susc_abs
+                node.exp_score_susc_pres+= score_susc_pres*prob_susc_pres
+                
+                test_res_abs += prob_res_abs
+                test_res_pres += prob_res_pres
+                test_susc_abs += prob_susc_abs
+                test_susc_pres += prob_susc_pres
+
+    return phylo_tree.root.exp_score_susc_abs
+
+def calcProbAllLeafResistant(phylo_tree):
+    for node in phylo_tree.leaves:
+        node.all_res_res = 1.0
+        node.all_res_susc = 0.0
+        
+    for node in phylo_tree.inner_nodes_bu:
+        
+        node.all_res_res = 0.0
+        node.all_res_susc = 0.0
+        children_list = list(node.children)
+        
+        if len(children_list) > 0:
+      
+            for res_subprofile in generateResistanceProfiles(len(children_list)):
+                prob_res = 1.0
+                prob_susc = 1.0
+                for j in range(len(children_list)):
+                    if res_subprofile[j] == 'R':
+                        prob_res *= children_list[j].prob_res_res * children_list[j].all_res_res
+                        prob_susc *= children_list[j].prob_susc_res * children_list[j].all_res_res
+                    elif res_subprofile[j] == 'S':
+                        prob_res *= children_list[j].prob_res_susc * children_list[j].all_res_susc
+                        prob_susc *= children_list[j].prob_susc_susc * children_list[j].all_res_susc
+                    else:
+                        print("error")
+                node.all_res_res += prob_res
+                node.all_res_susc += prob_susc
+    return None
+
+def calcSubleavesResCount(phylo_tree):
+    for node in phylo_tree.leaves:
+        node.subleaves_count = 1
+
+        if node.observed_res_state== 'R':
+            node.res_subleaves_count = 1
+            node.inter_subleaves_count = 0
+            node.susc_subleaves_count = 0
+            node.un_subleaves_count = 0
+        elif node.observed_res_state == 'S':
+            node.res_subleaves_count = 0
+            node.inter_subleaves_count = 0
+            node.susc_subleaves_count = 1
+            node.un_subleaves_count = 0
+        elif node.observed_res_state == 'I':
+            node.res_subleaves_count = 0
+            node.inter_subleaves_count = 1
+            node.susc_subleaves_count = 0
+            node.un_subleaves_count = 0
+        else:
+            node.res_subleaves_count = 0
+            node.inter_subleaves_count = 0
+            node.susc_subleaves_count = 0            
+            node.un_subleaves_count = 1
+
+    for node in phylo_tree.inner_nodes_bu:
+              
+        children_list = list(node.children)
+        
+        if len(children_list) > 0:
+            node.res_subleaves_count = 0
+            node.inter_subleaves_count = 0
+            node.susc_subleaves_count = 0
+            node.un_subleaves_count = 0
+            node.subleaves_count = 0
+            for j in range(len(children_list)):
+                node.res_subleaves_count += children_list[j].res_subleaves_count
+                node.inter_subleaves_count += children_list[j].inter_subleaves_count
+                node.susc_subleaves_count += children_list[j].susc_subleaves_count
+                node.un_subleaves_count += children_list[j].un_subleaves_count
+                node.subleaves_count += children_list[j].subleaves_count
+    
+    return None 
+
+def calcSubleavesResCountOther(phylo_tree):
+    k = len(phylo_tree.root.observed_res_state_map)
+    
+    for node in phylo_tree.nodes.values():
+        node.res_subleaves_count_map = [0]*k
+        node.inter_subleaves_count_map = [0]*k
+        node.susc_subleaves_count_map = [0]*k
+        node.un_subleaves_count_map = [0]*k
+
+    for node in phylo_tree.leaves:
+        node.subleaves_count = 1
+
+        for di in range(k):
+            if node.observed_res_state_map[di] == 'R':
+                node.res_subleaves_count_map[di] = 1
+                node.inter_subleaves_count_map[di] = 0
+                node.susc_subleaves_count_map[di] = 0
+                node.un_subleaves_count_map[di] = 0
+            elif node.observed_res_state_map[di] == 'S':
+                node.res_subleaves_count_map[di] = 0
+                node.inter_subleaves_count_map[di] = 0
+                node.susc_subleaves_count_map[di] = 1
+                node.un_subleaves_count_map[di] = 0
+            elif node.observed_res_state_map[di] == 'I':
+                node.res_subleaves_count_map[di] = 0
+                node.inter_subleaves_count_map[di] = 1
+                node.susc_subleaves_count_map[di] = 0
+                node.un_subleaves_count_map[di] = 0
+            else:
+                node.res_subleaves_count_map[di] = 0
+                node.inter_subleaves_count_map[di] = 0
+                node.susc_subleaves_count_map[di] = 0            
+                node.un_subleaves_count_map[di] = 1
+
+    for node in phylo_tree.inner_nodes_bu:
+             
+        children_list = list(node.children)
+      
+        if len(children_list) > 0:
+            node.subleaves_count = 0
+            for j in range(len(children_list)):
+                node.subleaves_count += children_list[j].subleaves_count
+                
+            for di in range(k):
+                node.res_subleaves_count_map[di] = 0
+                node.inter_subleaves_count_map[di] = 0
+                node.susc_subleaves_count_map[di] = 0
+                node.un_subleaves_count_map[di] = 0
+                
+                for j in range(len(children_list)):
+                    node.res_subleaves_count_map[di] += children_list[j].res_subleaves_count_map[di]
+                    node.inter_subleaves_count_map[di] += children_list[j].inter_subleaves_count_map[di]
+                    node.susc_subleaves_count_map[di] += children_list[j].susc_subleaves_count_map[di]
+                    node.un_subleaves_count_map[di] += children_list[j].un_subleaves_count_map[di]
+    
+    return None 
+
+def calcSubleavesMutCount(phylo_tree):
+    for node in phylo_tree.leaves:
+
+        if node.observed_mut_state == '?':
+            node.pres_subleaves_count = 0
+            node.abs_subleaves_count = 0
+            node.q_subleaves_count = 1
+        elif node.observed_mut_state == '0':
+            node.pres_subleaves_count = 0
+            node.abs_subleaves_count = 1
+            node.q_subleaves_count = 0
+        else:
+            node.pres_subleaves_count = 1
+            node.abs_subleaves_count = 0
+            node.q_subleaves_count = 0
+            
+    for node in phylo_tree.inner_nodes_bu:
+                
+        children_list = list(node.children)
+      
+        if len(children_list) > 0:
+            node.pres_subleaves_count = 0
+            node.abs_subleaves_count = 0
+            node.q_subleaves_count = 0
+    
+            for j in range(len(children_list)):
+                node.pres_subleaves_count += children_list[j].pres_subleaves_count
+                node.abs_subleaves_count += children_list[j].abs_subleaves_count
+                node.q_subleaves_count += children_list[j].q_subleaves_count
+
+    return None    
+
+
+def calcSubnodesCount(phylo_tree):
+    for node in phylo_tree.leaves:
+        node.subnodes_count = 1
+        
+    for node in phylo_tree.inner_nodes_bu:
+        
+        children_list = list(node.children)
+        if len(children_list) > 0:
+            node.subnodes_count = 1
+            for j in range(len(children_list)):
+                node.subnodes_count += children_list[j].subnodes_count
+    return None    
+ 
+
+def calcWeightedSuppotExprectedValue(phylo_tree, un=False):
+    exp_ws = 0.0
+    root = phylo_tree.root
+    for node in phylo_tree.nodes.values():
+        node.visited = 0
+    
+    for node in phylo_tree.leaves:
+        if un == False and node.observed_res_state == '?':
+            continue
+        
+        exp_w = 0.0
+        
+        queue = deque([])
+        queue.append((node, node.parent))
+        
+        while queue:
+            (node_j, node_i) = queue.popleft()
+            if node_i == None:
+                continue    
+            
+            children_list = list(node_i.children)
+            prob_level = 0.0
+            
+            for res_subprofile in generateResistanceProfiles(len(children_list)):
+                prob_res = 1.0
+                prob_susc = 1.0
+                prob_all_res_other = 1.0
+                
+                for k in range(len(children_list)):            
+                    if res_subprofile[k] == 'R':
+                        prob_res *= children_list[k].prob_res_res                   
+                        prob_susc *= children_list[k].prob_susc_res
+                        if children_list[k].node_id == node_j.node_id:
+                            prob_all_res_j = children_list[k].all_res_res
+                        else:
+                            prob_all_res_other *= children_list[k].all_res_res
+                                                
+                    elif res_subprofile[k] == 'S':
+                        prob_res *= children_list[k].prob_res_susc                   
+                        prob_susc *= children_list[k].prob_susc_susc                    
+                        if children_list[k].node_id == node_j.node_id:
+                            prob_all_res_j = children_list[k].all_res_susc
+                        else:
+                            prob_all_res_other *= children_list[k].all_res_susc
+                    else:
+                        print("error")
+
+                prob_level += (prob_res * node_i.res_prob + prob_susc * (1 - node_i.res_prob))*prob_all_res_j*(1 - prob_all_res_other)
+            exp_w += 1.0 / float(node_j.subleaves_count) * prob_level 
+            queue.append((node_i, node_i.parent))
+        
+        exp_ws += (1-node.res_prob) * (-root.res_subleaves_count/root.susc_subleaves_count) * node.mut_prob
+        exp_ws += exp_w * node.mut_prob
+
+    return exp_ws
+
+def calcDetParsResModel(phylo_tree):
+    phylo_tree.setComepleteResProfile(['?']*phylo_tree.nodes_count)
+        
+    for node in phylo_tree.leaves:
+        node.complete_res_state = node.observed_res_state
+        
+    for node_i in phylo_tree.inner_nodes_bu:
+        if len(node_i.children) > 0:
+            if node_i.un_subleaves_count == node_i.subleaves_count:
+                node_i.complete_res_state = '?'
+            elif node_i.susc_subleaves_count > 0:
+                node_i.complete_res_state = 'S'
+            elif node_i.inter_subleaves_count > 0:
+                node_i.complete_res_state = 'I'
+            else:
+                node_i.complete_res_state = 'R'
+
+    return None
+
+def calcDetParsResModelOther(phylo_tree):
+    k = len(phylo_tree.root.observed_res_state_map)
+    
+    for node in phylo_tree.nodes:
+        node.complete_res_state_map = ["?"]*k
+    
+        
+    for node in phylo_tree.leaves:
+        for di in range(k):
+            node.complete_res_state_map[di] = node.observed_res_state_map[di]
+        
+    for node_i in phylo_tree.inner_nodes_bu:
+
+        if len(node_i.children) > 0:
+            for di in range(k):
+                if node_i.un_subleaves_count_map[di] == node_i.subleaves_count:
+                    node_i.complete_res_state_map[di] = '?'
+                elif node_i.susc_subleaves_count_map[di] > 0:
+                    node_i.complete_res_state_map[di] = 'S'
+                elif node_i.inter_subleaves_count_map[di] > 0:
+                    node_i.complete_res_state_map[di] = 'I'
+                else:
+                    node_i.complete_res_state_map[di] = 'R'     
+    return None
+
+def calcDetParsMutModel(phylo_tree):
+    phylo_tree.setComepleteMutProfile(['?']*phylo_tree.nodes_count)
+        
+    for node in phylo_tree.leaves:
+        node.complete_mut_state = node.observed_mut_state
+        
+    for node_i in phylo_tree.inner_nodes_bu:
+        
+        if node_i.q_subleaves_count == node_i.subleaves_count:
+            node_i.complete_mut_state = '?'
+        elif node_i.abs_subleaves_count > 0:
+            node_i.complete_mut_state = '0'
+        else:
+            node_i.complete_mut_state = '1'
+        
+    return None
+
+def calcTransitionScore(phylo_tree, theta=0.5, zeta = 0.0, beta=-1.0, tscore_type = "P"):
+    for node in phylo_tree.nodes.values():
+        node.tscore_tmp = 0.0
+        
+    tstable = getstable(t=theta, z=zeta, b=beta)
+
+    for node in phylo_tree.inner_nodes_bu:
+        node.tscore_tmp = 0.0    
+        
+        node_res = node.complete_res_state
+        node_mut = node.complete_mut_state
+
+        for node_j in node.children:                
+            node_j_res = node_j.complete_res_state
+            node_j_mut = node_j.complete_mut_state
+            
+            if tscore_type == "P":
+                score_tmp = tstable.get(node_res + node_j_res + node_mut + node_j_mut, 0.0)
+                node.tscore_tmp += score_tmp + node_j.tscore_tmp
+                #if int(node_j.node_id) in [1621,1623,1625,1622,1624,1620]:
+                #    print(node.node_id, node_j.node_id, score_tmp, node_res + node_j_res + node_mut + node_j_mut)
+            elif tscore_type == "A":
+                if node_res == "S" and node_j_res == "R":
+                    node.tscore_tmp += node_j.tscore_tmp + float(node_j.pres_subleaves_count) / float(node_j.subnodes_count)
+                elif node_j_res == "S" and node_j_mut == "1":
+                    #print("here2", node_res, node_j_res, node_mut, node_j_mut)
+                    node.tscore_tmp += node_j.tscore_tmp - 1.0
+                else:
+                    node.tscore_tmp += node_j.tscore_tmp
+#                if node_mut == "0" and node_j_mut == "1":
+#                    node.tscore_tmp  += ((float(node_j.susc_subleaves_count)* (-2.0) + float(node_j.res_subleaves_count)) / float(node_j.un_subleaves_count + node_j.susc_subleaves_count + node_j.res_subleaves_count) + node_j.tscore_tmp)
+#                else:
+#                    node.tscore_tmp  += node_j.tscore_tmp
+            elif tscore_type == "C":
+                node.tscore_tmp  += (tstable.get(node_res+node_j_res+node_mut+node_j_mut,0.0) * (1.0+log(node_j.subnodes_count)) + node_j.tscore_tmp)
+            elif tscore_type == "L":
+                sc_tmp = tstable.get(node_res+node_j_res+node_mut+node_j_mut,0.0)
+                if sc_tmp >= 0:
+                    node.tscore_tmp  += (log(1+sc_tmp) + node_j.tscore_tmp)
+                else:
+                    node.tscore_tmp  += (log(0.5) + node_j.tscore_tmp)
+            elif tscore_type == "E":
+                node.tscore_tmp  += (tstable.get(node_res+node_j_res+node_mut+node_j_mut,0.0)*exp(-100*node_j.e_len) + node_j.tscore_tmp)
+            elif tscore_type == "R":
+                node.tscore_tmp  += (tstable.get(node_res+node_j_res+node_mut+node_j_mut,0.0) - node_j.e_len + node_j.tscore_tmp)                
+            else:
+                node.tscore_tmp  += (tstable.get(node_res+node_j_res+node_mut+node_j_mut,0.0) + node_j.tscore_tmp)
+        
+    return phylo_tree.root.tscore_tmp
+
+def calcTransitionScoreMulti(phylo_tree, theta=0.5, zeta = 0.0, tscore_type = "P"):
+    k = len(phylo_tree.root.complete_res_state_map) 
+        
+    for node in phylo_tree.nodes.values():
+        node.tscore_tmp = 0.0
+                
+    for node in phylo_tree.inner_nodes_bu:
+
+        node.tscore_tmp = 0.0    
+        
+        children_list = list(node.children)
+        node_res = node.complete_res_state
+        node_mut = node.complete_mut_state
+
+        for j in range(len(children_list)):    
+            node_j = children_list[j]  
+                        
+            node_j_res = node_j.complete_res_state
+            node_j_mut = node_j.complete_mut_state
+            
+            other_score = 0.0
+            
+            if node_mut == "0" and node_j_mut == "1":                
+                for di in range(k):
+                    node_res_di = node.complete_res_state_map[di]
+                    node_j_res_di = node_j.complete_res_state_map[di]
+                    if node_res_di == "S" and node_j_res_di == "R":
+                        other_score += 1.0
+                    elif node_res_di == "R" and node_j_res_di == "R":
+                        other_score += 0.5
+                        
+                 #   print(di, node_res_di, node_j_res_di, other_score)
+            node.tscore_tmp  += stable(node_res, node_j_res, node_mut, node_j_mut, theta, zeta) / (other_score + 1.0) + node_j.tscore_tmp
+        
+    return phylo_tree.root.tscore_tmp
+
+def removeUnResNodeLeavesRes(node):     
+    if node.subleaves_count == node.un_subleaves_count:
+        return None
+    elif len(node.children) == 0:
+        newnode = ResTreeNode(node.node_id)
+        newnode.e_len = node.e_len
+        newnode.label = node.label
+        newnode.ecolor = node.ecolor
+        newnode.observed_res_state = node.observed_res_state
+    #    newnode.observed_mut_state = node.observed_mut_state
+        return newnode
+    else:
+        child_new_nodes = []
+        for child_node in node.children:
+            child_newnode = removeUnResNodeLeavesRes(child_node)
+            if child_newnode != None:
+                child_new_nodes.append(child_newnode)
+        if len(child_new_nodes) == 0:
+            return None
+        elif len(child_new_nodes) == 1:
+            return child_new_nodes[0]
+        else:
+            newnode = ResTreeNode(node.node_id)
+            newnode.e_len = node.e_len
+            newnode.ecolor = node.ecolor
+            newnode.children = child_new_nodes
+            for child_newnode in child_new_nodes:
+                child_newnode.parent = newnode
+        return newnode
+        
+    return newnode
+    
+def removeUnResLeaves(phylo_tree):
+    newtree = ResTree(phylo_tree.root.subleaves_count - phylo_tree.root.un_subleaves_count)
+    newtree.root = removeUnResNodeLeavesRes(phylo_tree.root)
+    newtree.root_id = phylo_tree.root_id
+    
+    queue = deque([])
+    queue.append(newtree.root)
+    
+    newtree.leaves_count = 0
+    newtree.leaf_ids = []
+    newtree.leaves = []
+    
+    while queue:
+        node = queue.popleft()
+        if node == None:
+            continue
+        
+        newtree.nodes[node.node_id] = node
+        if len(node.children) == 0:
+            newtree.leaf_ids.append(node.node_id)
+            newtree.leaves.append(node)
+        for child_node in node.children:
+            queue.append(child_node)
+    
+    newtree.leaves_count = len(newtree.leaf_ids)    
+    newtree.nodes_count = len(newtree.nodes)
+    return newtree
+    
diff --git a/src/drsoft/modelling/xcct.py b/src/drsoft/modelling/xcct.py
new file mode 100644
index 0000000..cce0e6a
--- /dev/null
+++ b/src/drsoft/modelling/xcct.py
@@ -0,0 +1,339 @@
+import os
+import sys
+from decimal import Decimal
+
+from collections import deque
+
+from drsoft.modelling.model_logic import *
+from drsoft.utils.gwamar_stat_utils import *
+from drsoft.utils.gwamar_bin_utils import *
+
+from drsoft.utils.gwamar_generator_utils import generateSumProfiles
+
+def colorEdges(tree, alg=0, overwrite=False):
+    if alg == 0: # color all edges coming to resistant nodes
+        for node in list(tree.leaves) + tree.inner_nodes_bu:
+            if node.complete_res_state == "R":
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "b"
+            else:
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "w"
+    elif alg == 1: # color all edges with S->R
+        for node in list(tree.leaves) + tree.inner_nodes_bu:
+            if node.complete_res_state == "R" and (node.parent == None or node.parent.complete_res_state == "S"):
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "b"
+            else:
+                if overwrite == True or node.ecolor == None:
+                    node.ecolor = "w"
+    return None
+
+def calcFastBC(tree):
+    for node in tree.leaves: node.bc = 0
+    for node in tree.inner_nodes_bu:
+        node.bc = 0
+        for node_j in node.children:
+            if node_j.ecolor == "b":
+                node.bc += 1
+    return tree.root.bc
+
+def calcFastN(tree, w2=False):
+    for node in tree.leaves: node.maxn = 1
+
+    if w2:
+        for node in tree.inner_nodes_bu:
+            sum_tmp = 0
+            all_leaves = True
+            for ch_node in node.children:
+                sum_tmp += max(1, ch_node.maxn)
+                if not ch_node.is_leaf():
+                    all_leaves = False 
+            if all_leaves:
+                node.maxn = len(node.children)-1
+            else:
+                node.maxn = sum_tmp
+    else:
+        for node in tree.inner_nodes_bu:
+            node.maxn = 0
+            for ch_node in node.children:
+                node.maxn += max(ch_node.maxn, 1)
+
+    return tree.root.maxn
+
+def calcFastP(tree, w2=False):
+    for node in tree.leaves: 
+        node.maxp0 = 0
+        if node.ecolor == "b": node.maxp = 1
+        else: node.maxp = 0
+
+    if w2:
+        for node in tree.inner_nodes_bu:
+            if node.res_subleaves_count == node.subleaves_count:
+                node.maxp = node.res_subleaves_count-1
+            else:
+                node.maxp = node.res_subleaves_count
+    else:
+        for node in tree.inner_nodes_bu:
+            node.maxp = node.res_subleaves_count
+
+    return tree.root.maxp
+
+def calcFastWnMAT(tree, maxn_t=None, opt=False, w2=True):
+    for node in tree.leaves:
+        node.count_map = {}                             
+        node.count_map[0] = 1
+
+    for node in tree.inner_nodes_bu:
+        node.count_map = {}
+        children_list = node.children
+        k = len(node.children)
+
+        maxn = min(maxn_t, node.maxn)
+
+        for nt in range(maxn+1):
+            if w2: maxr = min(nt, k-1, node.maxn)
+            else: maxr = min(nt, k, node.maxn)
+            
+            if opt and (k+1 == node.subnodes_count):
+                if w2 and k == nt: wnm = 0
+                else: wnm = binom(k, nt)
+            else:
+                wnm = 0
+            
+                for r in range( maxr+1):
+                 #   if w2 == False and r==k: wnm += 1
+                    for gain_profile in generateSumProfiles2(k, r, ub=[1]*k,lb=[0]*k):
+                        gain_bound = []
+                        for j in range(k): 
+                            if gain_profile[j] == 1: 
+                                gain_bound.append(0)
+                            else:
+                                gain_bound.append(node.maxn)
+                        for gain_subprofile in generateSumProfiles2(k, nt-r, ub=gain_bound):
+                            wnm_tmp = 1
+                            for j in range(k):
+                                if gain_profile[j] == 0:
+                                    node_j = node.children[j]
+                                    wnm_tmp *= node_j.count_map.get(gain_subprofile[j], 0)
+                                    if wnm_tmp == 0:
+                                        break    
+                            wnm += wnm_tmp
+            node.count_map[nt] = wnm
+    return tree.root.count_map
+
+def calcFastRP(tree):
+    # r - total number of 0->1 changes 
+    # p - total number of 0->1 changes on black edges
+    r,p = 0,0
+    for node in tree.inner_nodes_bu:
+        for node_j in node.children:
+            if node.complete_mut_state == '0' and node_j.complete_mut_state == "1":
+                r += 1
+                if node_j.ecolor == "b":
+                    p += node_j.res_subleaves_count
+    return r,p
+
+def calcFastBpnMAT(tree, maxp_t, maxn_t, opt=False, w2=True, mem={}):
+    mem = {}
+
+    for node in tree.leaves:
+        mem[node.topos] = {}
+        mem[node.topos][(0,0)] = 1
+        
+    for node in tree.inner_nodes_bu:
+        maxn = min(maxn_t, node.maxn)
+        maxp = min(node.maxp, maxp_t)
+
+        if node.topos in mem and (maxp, maxn) in mem[node.topos]:
+            continue
+        if not node.topos in mem:
+            mem[node.topos] = {}
+        
+        children_list = list(node.children)
+        k = len(children_list)
+
+        mem[node.topos][(0,0)] = 1
+
+        for nt in range(1, maxn + 1, 1): # liczba wybranych
+            maxp = min(node.maxp, maxp_t)
+            if (maxp, nt) in mem[node.topos]:
+                continue
+            for pt in range(maxp + 1):     # liczba pokrytych
+                if (pt, nt) in mem[node.topos]:
+                    continue
+                if opt and (k+1 == node.subnodes_count):
+                    if w2 and k == nt: wnm = 0
+                    else: wnm = binom(node.bc, pt) * binom(k-node.bc, nt-pt)
+                else:
+                    wnm = 0
+                    if w2: maxr = min(k-1, nt)
+                    else: maxr = min(k, nt)
+                    for r in range(maxr + 1):
+                        for gain_r_profile in generateSumProfiles2(k, r, ub=[1]*k,lb=[0]*k):
+                            if w2 and sum(gain_r_profile) == k:
+                                continue
+
+                            ur = 0 # liczba trafionych
+                            gain_r_bound = []
+                            for j in range(k):
+                                node_j = children_list[j]
+                                if gain_r_profile[j] == 1:
+                                    gain_r_bound.append(0)
+                                    if node_j.ecolor == "b":
+                                        ur += node_j.res_subleaves_count
+                                elif gain_r_profile[j] == 0:
+                                    gain_r_bound.append(min(node_j.maxn, nt-r))
+
+                            for gain_r_subprofile in generateSumProfiles2(k, nt-r, ub=gain_r_bound):
+                                gain_p_bound = []
+                                for j in range(k):
+                                    node_j = children_list[j]
+                                    if gain_r_profile[j] == 1:
+                                        gain_p_bound.append(0)
+                                    else:
+                                        gain_p_bound.append(min(node_j.maxp, pt-ur))
+
+                                for gain_u_subprofile in generateSumProfiles2(k, pt-ur, ub=gain_p_bound):
+                                    wnm_tmp = 1
+                                    for j in range(k):
+                                        if gain_r_profile[j] == 0:
+                                            node_j = children_list[j]
+                                            ptmp, ntmp = gain_u_subprofile[j], gain_r_subprofile[j]
+                                            wnm_tmp *= mem[node_j.topos].get((ptmp, ntmp), 0)
+                                            if wnm_tmp == 0:
+                                                break
+                                    wnm += wnm_tmp
+
+                mem[node.topos][(pt,nt)] = wnm
+    return mem
+    
+def calcBinProfilesXCCT(bin_profiles, drp, trees_list, norm=False, opt=True, w2=True, mem={}):
+    scores = {}
+    
+    for bin_profile_id, bin_profile in bin_profiles.items():
+        scores[bin_profile_id] = []
+    
+    for tree in trees_list:
+        tree.setObservedResProfile(drp.full_profile)
+        tree.calcInnerNodesBU()
+        calcSubleavesResCount(tree)
+        calcSubnodesCount(tree)
+
+        if len(drp.getResistant()) == 0:
+            continue
+        
+        newtree = removeUnResLeaves(tree)
+        newtree.calcInnerNodesBU()
+        newtree.setObservedResProfile(drp.full_profile)
+        calcSubleavesResCount(newtree)
+        calcSubnodesCount(newtree)
+        calcDetParsResModel(newtree)
+        colorEdges(newtree, alg=0, overwrite=False)
+        computeTopos(newtree, r=True)
+
+        maxn = 0
+        maxp = 0
+
+        n_dist = {}
+        
+        for bin_profile_id, gen_bin_profile in bin_profiles.items():
+            for bin_profile in specBinProfiles(gen_bin_profile):
+                newtree.setObservedMutProfile(bin_profile)
+                calcSubleavesMutCount(newtree)
+                calcDetParsMutModel(newtree)
+                r,p = calcFastRP(newtree)
+                maxn = max(maxn,r)
+                maxp = max(maxp,p)
+                if not r in n_dist:
+                    n_dist[r] = 0.0
+                n_dist[r] += 1.0
+        
+        calcFastBC(newtree)
+        nx = calcFastN(newtree, w2=w2)
+        px = calcFastP(newtree, w2=w2)
+
+        t0 = time.time()
+        wn_mat = calcFastWnMAT(newtree, maxn, opt=opt, w2=w2)
+        t1 = time.time()
+        
+        mem = calcFastBpnMAT(newtree, maxp, maxn, opt=opt, w2=w2, mem=mem)
+        bpn_mat = mem[newtree.root.topos]
+
+        test = {}
+        for (pt,nt) in bpn_mat:
+            if not nt in test: 
+                test[nt] = 0
+            test[nt] += bpn_mat[(pt,nt)]
+
+        t2 = time.time()
+
+        for bin_profile_id, gen_bin_profile in bin_profiles.items():
+            score = 0.0
+            for bin_profile in specBinProfiles(gen_bin_profile):
+                newtree.setObservedMutProfile(bin_profile)
+                calcSubleavesMutCount(newtree)
+                calcDetParsMutModel(newtree)
+                
+                r,p = calcFastRP(newtree)
+
+                bs = wn_mat[r]
+                for pt in range(p):
+                    bs -= bpn_mat[(pt, r)]
+
+                cct_score = Decimal(bs) / Decimal(wn_mat[r])
+                try:
+                    if norm:
+                        score += -math.log(float(cct_score)*n_dist[r])
+                    else:
+                        score += -math.log(float(cct_score))
+
+                except:
+                    pass
+                 
+            scores[bin_profile_id].append(score)
+
+    scores_mean = {}
+    
+    for bin_profile_id in scores:
+        scores_mean[bin_profile_id] = mean(scores[bin_profile_id])
+
+    return scores_mean, mem
+
+
+def readXCCTMem(mem_fn):
+	if not os.path.exists(mem_fn):
+		return {}
+	mem = {}
+
+	input_fh = open(mem_fn)
+	lines = input_fh.readlines()
+	input_fh.close()
+	topo = ""
+
+	for line in lines:
+		tokens = line.split()
+		if len(tokens) < 1: 
+			continue
+		elif len(tokens) == 1:
+			topo = tokens[0]
+			if not topo in mem:
+				mem[topo] = {}
+		else:		
+			k = int(tokens[0])
+			n = int(tokens[1])
+			b = int(tokens[2])
+			mem[topo][(k,n)] = b
+
+	return mem
+
+def saveXCCTMem(mem, mem_fn):
+	output_fh = open(mem_fn, "w")
+	topo_sorted = sorted(mem.keys(), key=lambda topo:(len(topo), topo))
+	for topo in topo_sorted:
+		output_fh.write(topo + "\n")
+		for (k, n) in sorted(mem[topo], key=lambda (k,n):(n,k)):
+			b = mem[topo][(k,n)]
+			output_fh.write(str(k) + "\t" + str(n) + "\t" + str(b) + "\n")
+	output_fh.close()
+
diff --git a/src/drsoft/other/show0_gold_associations.py b/src/drsoft/other/show0_gold_associations.py
new file mode 100644
index 0000000..780ec22
--- /dev/null
+++ b/src/drsoft/other/show0_gold_associations.py
@@ -0,0 +1,121 @@
+import sys
+import os
+import shutil
+import multiprocessing
+from multiprocessing import Pool
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_ann_utils import readClusterGeneIDs
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_res_utils import compareProfiles
+from drsoft.utils.gwamar_res_io_utils import readResistanceProfiles
+from drsoft.utils.gwamar_muts_io_utils import *
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+
+def printGoldShort(gold_assocs, comment=""):
+    total = 0
+    for drug_name in gold_assocs:
+        tmp = gold_assocs[drug_name].keys()
+        tl = comment+" " +drug_name +" "
+        for gene_id in tmp:
+            count = len(gold_assocs[drug_name][gene_id])
+            total += count
+            tl += gene_id +"("+str(count)+"),"
+
+        print(tl.strip(","))
+    print(comment +" total: " + str(total))
+
+if __name__ == '__main__':
+    print("a3_save_associations.py: saves association lists.")
+
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    dataset = parameters["D"]
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    gold_dir = parameters["DATASET_GOLD_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    ranks_dir = parameters["RESULTS_RANKS_DIR"]
+    cmp_dir = parameters["RESULTS_CMP_DIR"]
+
+    WORKERS = min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    scores_p = parameters["SCORES"].split(",")
+
+
+    ensure_dir(cmp_dir)
+    ensure_dir(cmp_dir + "/assocs/")
+    
+    input_fh = open(input_dir + "/strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+
+    m_type = parameters["MT"]
+    
+    input_fh = open(results_dir + "/res_profiles.txt")
+    drug_res_profiles = readResistanceProfiles(input_fh, load_int=True)
+    input_fh.close()
+    
+    input_fh = open(results_dir + 'bin_profiles_' + m_type + '_det.txt')
+    bin_profile_details = readBinProfileDetails(input_fh, mut_type=m_type, out_format="tuple")
+    input_fh.close()
+
+    input_fh = open(results_dir + 'bin_profiles_' + m_type + '.txt')
+    bin_profiles = readBinProfiles(input_fh, strains.count(), gen_bin_profiles=True)
+    input_fh.close()
+    
+    input_fn = input_dir + "/cluster_gene_ref_ids.txt"
+    if os.path.exists(input_fn):
+        cluster_fh = open(input_dir + "/cluster_gene_ref_ids.txt")
+        cluster_ids, cluster_ids_rev = readClusterGeneIDs(cluster_fh, gene_ref_ids=True)
+        cluster_fh.close()
+    else:
+        cluster_ids = {} 
+        cluster_ids_rev = {}
+
+    input_fn = gold_dir + "/gold_assocs_H.txt"
+    if not os.path.exists(input_fn):
+        print("File does not exist:" + input_fn)
+        drug_res_conf_db = {}
+    else:
+        input_fh = open(input_fn)
+        drug_res_conf_db = readGoldAssociations(input_fh, cluster_ids_rev)
+        input_fh.close()
+    
+    input_fn = gold_dir + "/gold_assocs_A.txt"
+    if not os.path.exists(input_fn):
+        print("File does not exist:" + input_fn)
+        drug_res_all_db = {}
+    else:
+        input_fh = open(input_fn)
+        drug_res_all_db = readGoldAssociations(input_fh, cluster_ids_rev)
+        input_fh.close()
+
+    score_params_union = set([])    
+    drug_names_map = {}
+    drug_name_id = 0
+    for drug_res_profile in drug_res_profiles:
+        drug_name = drug_res_profile.drug_name
+
+        for score_fn in os.listdir(scores_dir + "/" + drug_name):
+            input_fn = scores_dir + "/" + drug_name  + "/" + score_fn
+            if os.path.exists(input_fn): 
+                score_tmp = score_fn[:-4]
+                if score_tmp in scores_p:
+                    score_params_union.add(score_tmp)
+                if not drug_name in drug_names_map:
+                    drug_names_map[drug_name] = drug_name_id
+                    drug_name_id += 1
+
+    print(','.join(drug_names_map.keys()))
+    printGoldShort(drug_res_all_db, "all")
+    printGoldShort(drug_res_conf_db, "hc")
+    
+    print("show0_save_associations.py: Finished.")
diff --git a/src/drsoft/permtest/__init__.py b/src/drsoft/permtest/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/drsoft/permtest/perm1_generate_res_profiles.py b/src/drsoft/permtest/perm1_generate_res_profiles.py
new file mode 100644
index 0000000..93fd574
--- /dev/null
+++ b/src/drsoft/permtest/perm1_generate_res_profiles.py
@@ -0,0 +1,123 @@
+import sys
+import os
+import copy
+import random
+from multiprocessing import Pool
+import multiprocessing
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_res_io_utils import *
+
+def generateResProfiles(params):
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    drug_name = params["DRUG_NAME"]
+    perm_rep = int(parameters["REPS"])
+
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    perm_dir = parameters["RESULTS_PERM_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    perm_profiles_dir = parameters["RESULTS_PERM_PROFILES_DIR"]
+    
+    input_fh = open(input_dir + "/strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+    
+    strains_list = strains.allStrains()
+
+    input_fh = open(results_dir + "/res_profiles.txt")
+    res_profiles_list = readResistanceProfiles(input_fh, load_int=True)
+    input_fh.close()
+    
+    res_profiles = {}
+    for res_profile in res_profiles_list:
+        res_profiles[res_profile.drug_name] = res_profile
+    drp = res_profiles[drug_name]
+    
+    n = strains.count()
+    cr = len(drp.res_strains_ids)
+    cs = len(drp.sc_strains_ids)
+    ci = len(drp.inter_strains_ids)
+
+    used_p = set([])
+    
+    input_fn = perm_profiles_dir + "/" + drug_name + ".txt"
+    if os.path.exists(input_fn):
+        input_fh = open(input_fn) 
+        for line in input_fh.readlines():
+            tokens = line.split()
+            if len(tokens) < 1: continue
+            tokens2 = tokens[0].split("_")
+            if len(tokens2) < 2: continue
+            used_p.add(int(tokens2[-1]))
+        input_fh.close()
+
+    perm_res_profiles = []
+        
+    for p in range(perm_rep):
+        if p in used_p: continue
+        
+        perm = list(drp.full_profile)
+        random.shuffle(perm)
+        drug_name_id = drug_name + "_" + str(p)
+        perm_res_profile = ResistanceProfile(drug_name_id, n)
+        perm_res_profile.full_profile = perm
+        perm_res_profiles.append(perm_res_profile)
+        
+    if not os.path.exists(input_fn) or os.path.getsize(input_fn) < 2: header = True
+    else: header = False
+    
+    output_fh = open(input_fn, "a") 
+    saveResistanceProfiles(output_fh, perm_res_profiles, strains_list=strains_list, compress=True, header=header)
+    output_fh.close()
+    
+    return drug_name
+    
+if __name__ == '__main__':
+    print("perm1_generate_res_profiles.py. Start.")
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    perm_dir = parameters["RESULTS_PERM_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    perm_profiles_dir = parameters["RESULTS_PERM_PROFILES_DIR"]
+    
+    ensure_dir(perm_dir)
+    ensure_dir(perm_profiles_dir)
+    
+    TASKS = []
+    TASK = {}
+    
+    input_fh = open(results_dir + "/res_profiles.txt")
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    
+    for drug_name in drug_names:
+        TASK["DRUG_NAME"] = drug_name
+
+        TASKS.append(TASK.copy())
+
+    progress = GWAMARProgress("Profiles generated")
+    progress.setJobsCount(len(TASKS))
+    WORKERS = min(WORKERS, len(TASKS))
+    
+    if WORKERS > 1:
+        pool = Pool(processes=WORKERS)
+        for r in pool.imap(generateResProfiles, TASKS):
+            progress.update(str(r))
+    else:
+        for T in TASKS:
+            r = generateResProfiles(T)
+            progress.update(str(r))
+    print("perm1_generate_res_profiles.py. Finished.")
diff --git a/src/drsoft/permtest/perm2_compute_perm_rep_scores.py b/src/drsoft/permtest/perm2_compute_perm_rep_scores.py
new file mode 100644
index 0000000..60fb102
--- /dev/null
+++ b/src/drsoft/permtest/perm2_compute_perm_rep_scores.py
@@ -0,0 +1,126 @@
+import sys
+import os
+import copy
+from multiprocessing import Pool
+import multiprocessing
+
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_res_utils import drugNamePermID
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_scoring_flat_utils import *
+from drsoft.utils.gwamar_scoring_tree_utils import *
+from drsoft.utils.gwamar_scoring import *
+
+def scoreDrug(params):
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    drug_name = params["DRUG_NAME"]
+    score_full = params["SCORE"]
+    drug_res_profile = params["DRP"]
+
+    drug_name_id = drug_res_profile.drug_name
+    
+    bin_profile_scores, rev_sorting = computeScores(score_full, drug_name, parameters)
+
+    if bin_profile_scores == None:
+        return drug_name, score_full
+    
+    text_lines = []
+    if rev_sorting:
+        bin_profile_scores_sorted = sorted(bin_profile_scores, key=lambda bin_profile_id:bin_profile_scores[bin_profile_id])
+    else:
+        bin_profile_scores_sorted = sorted(bin_profile_scores, key=lambda bin_profile_id:-bin_profile_scores[bin_profile_id])
+        
+    for bin_profile_id in bin_profile_scores_sorted:
+        bin_profile_score = bin_profile_scores[bin_profile_id]
+        text_line = str(bin_profile_id) + "\t" + str(bin_profile_score) + "\n"
+        text_lines.append(text_line)
+
+    output_fn = perm_scores_dir + drug_name + "/" + score_full + "/" + drug_name_id + ".txt"
+    output_fh = open(output_fn, "w") 
+    for text_line in text_lines:
+        output_fh.write(text_line)
+    output_fh.close()
+        
+    return drug_name_id, score_full
+    
+if __name__ == '__main__':
+    print("perm2_compute_perm_rep_scores.py. Start.")
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = min(int(parameters["W"]), multiprocessing.cpu_count())
+    print("W", WORKERS)
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    perm_dir = parameters["RESULTS_PERM_DIR"]
+    perm_scores_dir = parameters["RESULTS_PERM_SCORES_DIR"]
+    perm_profiles_dir = parameters["RESULTS_PERM_PROFILES_DIR"]
+    perm_rep = int(parameters["REPS"])
+    results_dir = parameters["RESULTS_DIR"]
+    
+    score_params = parameters["SCORES"].split(",")
+    
+    TASKS = []
+    TASK = {}
+    
+    ensure_dir(perm_scores_dir)
+    
+    input_fh = open(results_dir + "/res_profiles.txt")
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    
+    input_fh = open(input_dir + "/strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+    
+    
+    for drug_name in drug_names:
+        ensure_dir(perm_scores_dir + drug_name)
+
+        input_fh = open(perm_profiles_dir + "/" + drug_name + ".txt")
+        res_profiles_list = readResistanceProfiles(input_fh, load_int=True)
+        input_fh.close()
+
+        for score_param in score_params:
+            ensure_dir(perm_scores_dir + drug_name + "/" + score_param)
+    
+            for drp in res_profiles_list:
+    
+                drug_name_id = drp.drug_name
+                current_id = drugNamePermID(drug_name_id)
+                if current_id >= perm_rep: continue
+                    
+                output_fn = perm_scores_dir + drug_name + "/" + score_param + "/" + drug_name_id +  ".txt"
+                if os.path.exists(output_fn): continue
+                
+                TASK["DRUG_NAME"] = drug_name
+                TASK["DRP"] = drp
+                TASK["SCORE"] = score_param  
+                TASKS.append(TASK.copy())
+    print(len(TASKS))
+    
+    progress = GWAMARProgress("Permutation scores")
+    progress.setJobsCount(len(TASKS))
+    WORKERS = min(WORKERS, len(TASKS))
+
+    if WORKERS > 1:
+        pool = Pool(processes=WORKERS)
+        for drug_name_id, score in pool.imap(scoreDrug, TASKS):
+            progress.update(drug_name_id + " "+ score)
+    else:
+        for T in TASKS:
+            drug_name_id, score = scoreDrug(T)
+            progress.update(drug_name_id + " "+ score)
+
+    print("perm2_compute_perm_rep_scores.py. Finished.")
diff --git a/src/drsoft/permtest/perm3_save_perm_rep_rankings.py b/src/drsoft/permtest/perm3_save_perm_rep_rankings.py
new file mode 100644
index 0000000..3482405
--- /dev/null
+++ b/src/drsoft/permtest/perm3_save_perm_rep_rankings.py
@@ -0,0 +1,131 @@
+import sys
+import os
+import copy
+import random
+from multiprocessing import Pool
+import multiprocessing
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_res_utils import drugNamePermID
+from drsoft.utils.gwamar_res_io_utils import readDrugNames
+from drsoft.utils.gwamar_scoring import revOrder
+
+def scoreParamsSet(params):
+    score = params["SCORE"]
+    drug_name = params["DRUG_NAME"]
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    perm_dir = parameters["RESULTS_PERM_DIR"]
+    perm_scores_dir = parameters["RESULTS_PERM_SCORES_DIR"]
+    perm_profiles_dir = parameters["RESULTS_PERM_PROFILES_DIR"]
+    perm_ranks_dir = parameters["RESULTS_PERM_RANKS_DIR"]
+    perm_rep = int(parameters["REPS"])
+    
+    rev_order = False
+    if score.startswith("pv-") or score.count("+") > 0:
+        rev_order = True
+
+    input_fh = open(perm_profiles_dir + "/" + drug_name +".txt")
+    drug_names_ids = readDrugNames(input_fh)
+    input_fh.close()
+    
+    input_fh = open(results_dir + '/bin_profiles_' + parameters["MT"] + '_count.txt')
+    bin_profile_count = readBinProfileCounts(input_fh)
+    input_fh.close()
+    
+    for drug_name_id in drug_names_ids:
+        
+        current_id = drugNamePermID(drug_name_id)
+        if current_id >= perm_rep: continue
+        
+        text_lines = []
+
+        input_fn = perm_scores_dir + drug_name + "/"+score + "/" + drug_name_id +  ".txt"
+        if not os.path.exists(input_fn) or os.path.getsize(input_fn) < 10:
+            print("NOT EXIST: ", input_fn)
+            continue
+        
+        input_fh = open(input_fn)
+        bin_profiles_sorted = readBinProfilesSorted(input_fh, rev_order)
+        input_fh.close()
+        
+        n = len(bin_profiles_sorted)
+        bin_profiles_ranks = computeRankings(bin_profiles_sorted, bin_profile_count)
+
+        for i in range(n):
+            bin_profile_id, bin_profile_score = bin_profiles_sorted[i]
+            min_ranks_pos, max_ranks_pos = bin_profiles_ranks[bin_profile_id][:2]
+            text_line = str(bin_profile_id) + "\t"
+            text_line += str(min_ranks_pos) + "\t"
+            text_line += str(max_ranks_pos) + "\t"
+            text_line += "\n"
+            text_lines.append(text_line)
+    
+        output_fn = perm_ranks_dir + drug_name + "/" + score + "/" + drug_name_id + ".txt"    
+        output_fh = open(output_fn, "w")
+        for text_line in text_lines:
+            output_fh.write(text_line)
+        output_fh.close()
+        
+    return score
+
+if __name__ == '__main__':
+    print("perm3_save_perm_rep_rankings.py. Start.")
+
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    perm_dir = parameters["RESULTS_PERM_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    perm_scores_dir = parameters["RESULTS_PERM_SCORES_DIR"]
+    perm_ranks_dir = parameters["RESULTS_PERM_RANKS_DIR"]
+
+    ensure_dir(perm_ranks_dir)
+    
+    score_params = parameters["SCORES"].split(",")
+    
+    TASKS = []
+    TASK = {}
+    
+    input_fh = open(results_dir + "/res_profiles.txt")
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    
+    for drug_name in drug_names:
+        ensure_dir(perm_ranks_dir + drug_name)
+        for score_param in score_params:
+            ensure_dir(perm_ranks_dir + drug_name + "/" + score_param)
+
+            TASK["DRUG_NAME"] = drug_name
+            TASK["SCORE"] = score_param
+            
+            TASKS.append(TASK.copy())
+
+        
+    progress = GWAMARProgress("Rankings computed")
+    progress.setJobsCount(len(TASKS))
+    WORKERS = min(WORKERS, len(TASKS))
+    
+    if WORKERS > 1:
+        pool = Pool(processes=WORKERS)   
+        for r in pool.imap(scoreParamsSet, TASKS):
+            progress.update(str(r))
+    else:
+        for T in TASKS:
+            r = scoreParamsSet(T)
+            progress.update(str(r))
+
+            
+    print("perm3_save_perm_rep_rankings.py. Finished.")
diff --git a/src/drsoft/permtest/perm4_compute_perm_comb_scores.py b/src/drsoft/permtest/perm4_compute_perm_comb_scores.py
new file mode 100644
index 0000000..bd64882
--- /dev/null
+++ b/src/drsoft/permtest/perm4_compute_perm_comb_scores.py
@@ -0,0 +1,123 @@
+import sys
+import os
+import copy
+from multiprocessing import Pool
+import multiprocessing
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_res_utils import drugNamePermID
+from drsoft.utils.gwamar_res_io_utils import readDrugNames
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_scoring_flat_utils import *
+from drsoft.utils.gwamar_scoring_tree_utils import *
+
+
+def scoreDrug(params):
+    score = params["SCORE"]
+    drug_name = params["DRUG_NAME"]
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    perm_scores_dir = parameters["RESULTS_PERM_SCORES_DIR"]
+    perm_profiles_dir = parameters["RESULTS_PERM_PROFILES_DIR"]
+    perm_ranks_dir = parameters["RESULTS_PERM_RANKS_DIR"]    
+    perm_rep = int(parameters["REPS"])
+    
+    input_fh = open(input_dir + "/strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+
+    input_fh = open(perm_profiles_dir + drug_name + ".txt")
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+
+    input_fh = open(results_dir + '/bin_profiles_' + parameters["MT"] + '.txt')
+    bin_profiles = readBinProfiles(input_fh, strains.count(), gen_bin_profiles=True)
+    input_fh.close()
+    
+    for drug_name_id in drug_names:
+        current_id = drugNamePermID(drug_name_id)
+        if current_id >= perm_rep: continue
+        
+        rev_sorting = True
+    
+        subscores = score.split(",")
+
+        bin_profile_scores = calcBinProfilesPermRanksSumScore(bin_profiles, drug_name, drug_name_id, perm_ranks_dir, subscores=subscores)
+                
+        text_lines = []
+        if rev_sorting:
+            bin_profile_scores_sorted = sorted(bin_profile_scores, key=lambda bin_profile_id:bin_profile_scores[bin_profile_id])
+        else:
+            bin_profile_scores_sorted = sorted(bin_profile_scores, key=lambda bin_profile_id:-bin_profile_scores[bin_profile_id])
+            
+        for bin_profile_id in bin_profile_scores_sorted:
+            bin_profile_score = bin_profile_scores[bin_profile_id]
+            text_line = str(bin_profile_id) + "\t" + str(bin_profile_score) + "\n"
+            text_lines.append(text_line)
+    
+    
+        output_fn = perm_scores_dir + drug_name + "/" + score + "/" + drug_name_id +  ".txt"
+        if os.path.exists(output_fn): continue
+        
+        output_fh = open(output_fn, "w") 
+        for text_line in text_lines:
+            output_fh.write(text_line)
+        output_fh.close()
+    
+    return drug_name, score
+    
+if __name__ == '__main__':
+    print("perm4_compute_perm_comb_scores.py. Start.")
+
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    perm_dir = parameters["RESULTS_PERM_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    perm_scores_dir = parameters["RESULTS_PERM_SCORES_DIR"]
+    perm_ranks_dir = parameters["RESULTS_PERM_RANKS_DIR"]
+    
+    score_params = ["mi_0,or_0,ws_0,mts_0"]
+
+    TASKS = []
+    TASK = {}
+    
+    input_fh = open(results_dir + "/res_profiles.txt")
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    
+    for drug_name in drug_names:
+        for score_param in score_params:
+            ensure_dir(perm_scores_dir + drug_name + "/" + score_param)
+
+            TASK["DRUG_NAME"] = drug_name
+            TASK["SCORE"] = score_param
+            
+            TASKS.append(TASK.copy())
+
+    progress = GWAMARProgress("Combined scores")
+    progress.setJobsCount(len(TASKS))
+    WORKERS = min(WORKERS, len(TASKS))
+        
+    if WORKERS > 1:
+        pool = Pool(processes=WORKERS)   
+        for r in pool.imap(scoreDrug, TASKS):
+            progress.update(str(r))
+    else:
+        for T in TASKS:
+            r = scoreDrug(T)
+            progress.update(str(r))
+
+    print("perm4_compute_perm_comb_scores.py. Finished.")
diff --git a/src/drsoft/permtest/perm5_combine_perm_rep_scores.py b/src/drsoft/permtest/perm5_combine_perm_rep_scores.py
new file mode 100644
index 0000000..f24e063
--- /dev/null
+++ b/src/drsoft/permtest/perm5_combine_perm_rep_scores.py
@@ -0,0 +1,115 @@
+import sys
+import os
+import copy
+from multiprocessing import Pool
+import multiprocessing
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_res_utils import drugNamePermID
+from drsoft.utils.gwamar_res_io_utils import readDrugNames
+
+const = 100000.0
+
+def scoreDrug(params):
+    score = params["SCORE"]
+    drug_name = params["DRUG_NAME"]
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+
+    perm_scores_dir = parameters["RESULTS_PERM_SCORES_DIR"]
+    perm_profiles_dir = parameters["RESULTS_PERM_PROFILES_DIR"]
+    perm_combs_dir = parameters["RESULTS_PERM_COMBS_DIR"]
+    perm_rep = int(parameters["REPS"])
+
+    input_fh = open(perm_profiles_dir + "/" + drug_name + ".txt")
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    
+    bin_profile_scores = {}
+    
+    for drug_name_id in drug_names:
+        current_id = drugNamePermID(drug_name_id)
+        if current_id >= perm_rep: continue
+        
+        input_fn = perm_scores_dir + drug_name + "/" + score + "/" + drug_name_id +  ".txt"
+        if not os.path.exists(input_fn): continue        
+        
+        input_fh = open(input_fn) 
+        for line in input_fh.readlines():
+            tokens = line.strip().split()
+            if len(tokens) < 2: continue
+            score_float = float(tokens[1])
+            score_int = int(const*score_float)
+            if not score_int in bin_profile_scores:
+                bin_profile_scores[score_int] = 0
+            bin_profile_scores[score_int] += 1
+        input_fh.close()
+
+    bin_profile_scores_sorted = sorted(bin_profile_scores.keys())
+    
+    output_fh = open(perm_combs_dir + drug_name + "/" + score + ".txt", "w") 
+    for score_int in bin_profile_scores_sorted:
+        count = bin_profile_scores[score_int]
+        score_float = float(score_int) / const
+        output_fh.write(str("%.6f" % score_float) + "\t" + str(count) + "\n")
+    output_fh.close()
+
+    return drug_name, score
+    
+if __name__ == '__main__':
+    print("perm5_combine_perm_rep_scores.py. Start.")
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    perm_combs_dir = parameters["RESULTS_PERM_COMBS_DIR"]
+
+    ensure_dir(perm_combs_dir)
+    
+    score_params = parameters["SCORES"].split(",")
+    #score_params += ["tmow", "tmo", "tmw", "tow", "mow"]
+    #score_params += ["tm", "to", "tw", "mo", "mw", "ow"]
+    #score_params += ["mtw", "mtmow", "mtow",  "rand_tmow", "rand_tmow_stoch"]
+
+    TASKS = []
+    TASK = {}
+    
+    input_fh = open(results_dir + "/res_profiles.txt")
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    
+    for drug_name in drug_names:
+        ensure_dir(perm_combs_dir + drug_name)
+        for score_param in score_params:
+
+            TASK["DRUG_NAME"] = drug_name
+            TASK["SCORE"] = score_param
+            
+            TASKS.append(TASK.copy())
+        
+
+    progress = GWAMARProgress("Combine scores")
+    progress.setJobsCount(len(TASKS))
+    WORKERS = min(WORKERS, len(TASKS))
+        
+    if WORKERS > 1:
+        pool = Pool(processes=WORKERS)   
+        for r in pool.imap(scoreDrug, TASKS):
+            progress.update(str(r))
+    else:
+        for T in TASKS:
+            r = scoreDrug(T)
+            progress.update(str(r))
+
+            
+    print("perm5_combine_perm_rep_scores.py. Finished.")
diff --git a/src/drsoft/permtest/perm6_calc_pvalues.py b/src/drsoft/permtest/perm6_calc_pvalues.py
new file mode 100644
index 0000000..409151a
--- /dev/null
+++ b/src/drsoft/permtest/perm6_calc_pvalues.py
@@ -0,0 +1,158 @@
+import sys
+import os
+import copy
+from multiprocessing import Pool
+import multiprocessing
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_res_io_utils import readDrugNames
+from drsoft.utils.gwamar_scoring import revOrder
+
+def findScore(score_tmp, scores_sorted, rev_order):    
+    lo, hi = 0, len(scores_sorted) - 1
+    while lo <= hi:
+        mid = int((lo + hi) / 2)
+        if rev_order == -1:
+            if scores_sorted[mid] < score_tmp: lo = mid + 1
+            elif score_tmp < scores_sorted[mid]: hi = mid - 1
+            else: return scores_sorted[mid]
+        else:
+            if scores_sorted[mid] > score_tmp: lo = mid + 1
+            elif score_tmp > scores_sorted[mid]: hi = mid - 1
+            else: return scores_sorted[mid]
+    return scores_sorted[max(0, lo-1)]
+
+const = 100000.0
+
+def scoreDrug(params):
+    score = params["SCORE"]
+    drug_name = params["DRUG_NAME"]
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    perm_profiles_dir = parameters["RESULTS_PERM_PROFILES_DIR"]
+    perm_combs_dir = parameters["RESULTS_PERM_COMBS_DIR"]
+    perm_pvalues_dir = parameters["RESULTS_PERM_PVALUES_DIR"]
+    perm_rep = int(parameters["REPS"])
+    
+    #True = 1
+    rev_order = revOrder(score)
+
+    score_counts = {}
+    
+    input_fn = perm_combs_dir + drug_name + "/" + score + ".txt"
+    if not os.path.exists(input_fn): 
+        return drug_name, score
+    
+    input_fh = open(perm_combs_dir + drug_name + "/" + score +  ".txt")
+    if not os.path.exists(input_fn) or os.path.getsize(input_fn) < 3: 
+        return drug_name, score
+    
+    for line in input_fh.readlines():
+        tokens = line.strip().split()
+        if len(tokens) < 2: continue
+        if tokens[0].count(".") > 0: score_float = float(tokens[0])
+        else: score_float = float(int(tokens[0]) / const)
+            
+        score_counts[score_float] = int(tokens[1])
+    input_fh.close()
+
+    scores_sorted_rev = sorted(score_counts, key=lambda score_tmp:score_tmp*rev_order)
+    scores_sorted = sorted(score_counts, key=lambda score_tmp:-score_tmp*rev_order)
+
+    score_counts_cum = {}
+    tot_count = 0
+    for score_tmp in scores_sorted_rev:
+        count = score_counts[score_tmp]
+        tot_count += count
+        score_counts_cum[score_tmp] = tot_count
+    
+    bin_profile_pvalue = {}
+    
+    input_fn = scores_dir + drug_name + "/" + score + ".txt"
+    if not os.path.exists(input_fn) or os.path.getsize(input_fn) < 3: 
+        return drug_name, score
+    
+    input_fh = open(input_fn)
+    for line in input_fh.readlines():
+        tokens = line.strip().split()
+        if len(tokens) < 2: continue
+        profile_id = tokens[0]
+        score_tmp = float(tokens[1])
+        if score_tmp in score_counts_cum:
+            score_adj = score_tmp
+        else:
+            score_adj = findScore(score_tmp, scores_sorted, rev_order)
+
+        bin_profile_pvalue[profile_id] = float(score_counts_cum[score_adj]) / float(tot_count) 
+    input_fh.close()
+    
+    m = len(bin_profile_pvalue)
+    
+    bin_profile_pvalue_sorted = sorted(bin_profile_pvalue.keys(), key=lambda profile_id:bin_profile_pvalue[profile_id])
+    
+    output_fh = open(perm_pvalues_dir + drug_name + "/" + score +  ".txt", "w") 
+    for profile_id in bin_profile_pvalue_sorted:
+        pvalue = bin_profile_pvalue[profile_id]
+        output_fh.write(str(profile_id) + "\t" + str(pvalue) +"\t" + str("%.8f" % min(1, (pvalue * m)))+ "\n")
+    output_fh.close()
+
+    return drug_name, score
+    
+if __name__ == '__main__':
+    print("perm6_calc_pvalues.py. Start.")
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    perm_combs_dir = parameters["RESULTS_PERM_COMBS_DIR"]
+    perm_pvalues_dir = parameters["RESULTS_PERM_PVALUES_DIR"]
+
+    ensure_dir(perm_pvalues_dir)
+    
+    score_params = parameters["SCORES"].split(",")
+    #score_params += ["mtmow", "tmow", "tmo", "tmw", "tow", "mow"]
+    #score_params += ["tm", "to", "tw", "mo", "mw", "ow"]
+    #score_params += ["mtw", "mtow", "rand_tmow"]
+
+    TASKS = []
+    TASK = {}
+    
+    input_fh = open(results_dir + "/res_profiles.txt")
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    
+    for drug_name in drug_names:
+        ensure_dir(perm_pvalues_dir + drug_name)
+        for score_param in score_params:
+
+            TASK["DRUG_NAME"] = drug_name
+            TASK["SCORE"] = score_param
+            
+            TASKS.append(TASK.copy())
+        
+    progress = GWAMARProgress("Computed pvalues")
+    progress.setJobsCount(len(TASKS))
+    WORKERS = min(WORKERS, len(TASKS))
+        
+    if WORKERS > 1:
+        pool = Pool(processes=WORKERS)   
+        for r in pool.imap(scoreDrug, TASKS):
+            progress.update(str(r))
+    else:
+        for T in TASKS:
+            r = scoreDrug(T)
+            progress.update(str(r))
+
+    print("perm6_calc_pvalues.py. Finished")
diff --git a/src/drsoft/prepare/__init__.py b/src/drsoft/prepare/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/drsoft/prepare/p0_convert_gold_associations.py b/src/drsoft/prepare/p0_convert_gold_associations.py
new file mode 100644
index 0000000..a3f0d09
--- /dev/null
+++ b/src/drsoft/prepare/p0_convert_gold_associations.py
@@ -0,0 +1,105 @@
+import sys
+import os
+import shutil
+import multiprocessing
+from multiprocessing import Pool
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_ann_utils import readClusterGeneIDs
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_res_utils import compareProfiles
+from drsoft.utils.gwamar_res_io_utils import readResistanceProfiles
+from drsoft.utils.gwamar_muts_io_utils import *
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+
+
+if __name__ == '__main__':
+    print("p0_convert_gold_associations.py. Start.")
+
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    dataset = parameters["D"]
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    gold_dir = parameters["DATASET_GOLD_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    ranks_dir = parameters["RESULTS_RANKS_DIR"]
+    cmp_dir = parameters["RESULTS_CMP_DIR"]
+
+    WORKERS = min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_fh = open(input_dir + "/strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+
+    m_type = parameters["MT"]
+    
+    input_fh = open(results_dir + "/res_profiles.txt")
+    drug_res_profiles = readResistanceProfiles(input_fh, load_int=True)
+    input_fh.close()
+    
+    input_fh = open(results_dir + 'bin_profiles_' + m_type + '_det.txt')
+    bin_profile_details = readBinProfileDetails(input_fh, mut_type=m_type, out_format="tuple")
+    input_fh.close()
+
+    input_fh = open(results_dir + 'bin_profiles_' + m_type + '.txt')
+    bin_profiles = readBinProfiles(input_fh, strains.count(), gen_bin_profiles=True)
+    input_fh.close()
+    
+    input_fn = input_dir + "/cluster_gene_ref_ids.txt"
+    if os.path.exists(input_fn):
+        cluster_fh = open(input_dir + "/cluster_gene_ref_ids.txt")
+        cluster_ids, cluster_ids_rev = readClusterGeneIDs(cluster_fh, gene_ref_ids=True)
+        cluster_fh.close()
+    else:
+        cluster_ids = {} 
+        cluster_ids_rev = {}
+
+    input_fn = gold_dir + "/gold_assocs_A_old.txt"
+    if not os.path.exists(input_fn):
+        print("File does not exist:" + input_fn)
+        drug_res_conf_db = {}
+    else:
+        input_fh = open(input_fn)
+        drug_res_db = loadDrugResRels(input_fh, cluster_ids_rev)
+        input_fh.close()
+    
+   #print("here")
+#    print(drug_res_db)
+    tls = []
+
+    for drug_name in drug_res_db:
+        tls.append("%" + drug_name+"\n")
+        for gene_id in drug_res_db[drug_name]:
+            tls.append(">" + gene_id+"\n")
+            muts = drug_res_db[drug_name][gene_id]
+            
+
+            for position in sorted(muts):
+                ref_aa_list = set([])
+                mut_aa_list = set([])
+                for (x,y) in muts[position]:
+                    if not x in ["-", "X", "*"]:
+                        ref_aa_list.add(x)
+                    mut_aa_list.add(y)
+                ref_aa_txt = ','.join(list(ref_aa_list))
+                mut_aa_txt = ','.join(list(mut_aa_list))
+                if len(ref_aa_txt) == 1:
+                    tls.append(str(position) + "\t" + ref_aa_txt + "\t" + mut_aa_txt+"\n")
+        tls.append("\n")
+
+
+    output_fn = gold_dir + "/gold_assocs_A.txt"
+    output_fh = open(output_fn, "w")
+    for tl in tls:
+        output_fh.write(tl)
+    output_fh.close()
+
+    print("p0_convert_gold_associations.py. Finished.")
diff --git a/src/drsoft/prepare/p0_save_strains_ordered.py b/src/drsoft/prepare/p0_save_strains_ordered.py
new file mode 100644
index 0000000..a84d4bf
--- /dev/null
+++ b/src/drsoft/prepare/p0_save_strains_ordered.py
@@ -0,0 +1,62 @@
+import os
+import sys
+import time
+from multiprocessing import Pool
+import multiprocessing
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_utils import *
+from drsoft.utils.gwamar_strains_io_utils import *
+
+def getTreeStrainList(tree_line):
+    tree_line = tree_line.strip().strip(";")
+    tree_line = tree_line.replace("(", ";")
+    tree_line = tree_line.replace(")", ";")
+    tree_line = tree_line.replace(",", ";")
+    strains_list_tmp = tree_line.split(";")
+    strains_list = []
+    for strain_id_tmp in strains_list_tmp:
+        if strain_id_tmp.count(":") > 0: strain_id = strain_id_tmp.split(":")[0]
+        else: strain_id = strain_id_tmp
+        if len(strain_id) == 0: continue
+        strains_list.append(strain_id)
+    return strains_list
+
+
+if __name__ == '__main__':
+    print("p0_save_strains_ordered.py: saves strains in the order consistent with the phylogenetic tree. Start.")
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+
+    input1_fn = input_dir + "/tree.txt"
+    input2_fn = input_dir + "/strains_ordered.txt"
+    input3_fn = input_dir + "/strains.txt"
+
+    if os.path.exists(input1_fn) and not os.path.exists(input2_fn) and os.path.exists(input3_fn):
+        input_fh = open(input1_fn)
+        tree_line = input_fh.readline()
+        input_fh.close()
+        strains_list = getTreeStrainList(tree_line)
+
+        output_fh = open(input2_fn, "w")
+        for strain_id in strains_list:
+            output_fh.write(strain_id + "\n")
+        output_fh.close()
+    elif not os.path.exists(input1_fn) and os.path.exists(input3_fn): 
+        input_fh = open(input3_fn)
+        strains = readStrains(input_fh)
+        input_fh.close()
+        strains_list = strains.allStrains()
+
+        output_fh = open(input2_fn, "w")
+        for strain_id in strains_list:
+            output_fh.write(strain_id + "\n")
+        output_fh.close()
+    else:
+        print("File " + input2_fn + " already exists. First remove it.")
+    
+    print("p0_save_strains_ordered.py. Finished.")
diff --git a/src/drsoft/prepare/p1_prepare_experiments.py b/src/drsoft/prepare/p1_prepare_experiments.py
new file mode 100644
index 0000000..73c3476
--- /dev/null
+++ b/src/drsoft/prepare/p1_prepare_experiments.py
@@ -0,0 +1,80 @@
+import sys
+import os
+import shutil
+import copy
+from multiprocessing import Pool
+import multiprocessing
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_ann_utils import readClusterGeneIDs
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_res_utils import *
+from drsoft.utils.gwamar_muts_io_utils import *
+from drsoft.utils.gwamar_tree_io_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+
+
+if __name__ == '__main__':
+    print("p1_prepare_experiments.py: prepares folders to store results. Start.")
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    tree_ids=["PHYML", "RAXML", "", "PHYLIP"]
+    tree_ids.append(parameters.get("TREE_ID", ""))
+
+    WORKERS = min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+
+    input_fh = open(input_dir + "/strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+    
+    strains_list = strains.allStrains()
+    
+    input_fh = open(input_dir + "/res_profiles.txt")
+    res_profiles = readResistanceProfiles(input_fh, load_int=True, strains_list=strains_list)
+    input_fh.close()
+    
+    output_dir = parameters["DATASET_DIR"] + "/"+parameters["EP"]+"P/"
+    ensure_dir(output_dir)
+
+    output_fh = open(output_dir + "res_profiles.txt", "w")
+    saveResistanceProfiles(output_fh, res_profiles, strains_list, compress=True)
+    output_fh.close()
+
+    for tree_id in tree_ids:
+        output_dir = parameters["DATASET_DIR"] + "/"+parameters["EP"]+"P/"
+        
+        input_fn = input_dir + "tree"+tree_id+".txt"
+        if not os.path.exists(input_fn):
+            continue
+
+        input_fh = open(input_fn)
+        tree = readPhyloTrees(input_fh, strains_list)
+        input_fh.close()
+
+        output_tree_txt = tree[0].toString(lengths=False, strains=strains)
+        output_fh = open(output_dir + "/tree"+tree_id+".txt", "w")
+        output_fh.write(output_tree_txt+ ";\n")
+        output_fh.close()
+        
+        output_dir = parameters["DATASET_DIR"] + "/"+parameters["EP"]+"G/"
+        ensure_dir(output_dir)
+        
+        output_fh = open(output_dir + "res_profiles.txt", "w")
+        saveResistanceProfiles(output_fh, res_profiles, strains_list, compress=True)
+        output_fh.close()
+
+        output_tree_txt = tree[0].toString(lengths=False, strains=strains)
+        output_fh = open(output_dir + "/tree"+tree_id+".txt", "w")
+        output_fh.write(output_tree_txt+ ";\n")
+        output_fh.close()
+
+    print("p1_prepare_experiments.py: Finished.")
+    
\ No newline at end of file
diff --git a/src/drsoft/prepare/p2_convert_profiles_genes.py b/src/drsoft/prepare/p2_convert_profiles_genes.py
new file mode 100644
index 0000000..2a6f413
--- /dev/null
+++ b/src/drsoft/prepare/p2_convert_profiles_genes.py
@@ -0,0 +1,127 @@
+import sys
+import os
+import copy
+from multiprocessing import Pool
+import multiprocessing
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_utils import *
+from drsoft.utils.gwamar_ann_utils import readClusterGeneIDs
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_res_utils import findScStrains
+from drsoft.utils.gwamar_muts_io_utils import *
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_res_io_utils import readResistanceProfiles
+
+
+if __name__ == '__main__':
+    print("p2_convert_profiles_genes.py: converts gene gain/loss profiles. Start.")
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    inter_dir = output_dir = parameters["DATASET_DIR"] + "/"+parameters["EP"]+"G/"
+    ensure_dir(inter_dir)
+
+    input_fh = open(input_dir + "/strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+    
+    input_fh = open(input_dir + "/res_profiles.txt")
+    res_profiles_list = readResistanceProfiles(input_fh, load_int=True)
+    input_fh.close()
+    
+    sc_strains = findScStrains(res_profiles_list)
+    
+    res_profiles = {}
+    for res_profile in res_profiles_list:
+        res_profiles[res_profile.drug_name] = res_profile
+    
+    if os.path.exists(input_dir + "/cluster_gene_ref_ids.txt"):
+        cluster_fh = open(input_dir + "/cluster_gene_ref_ids.txt")
+        cluster_ids, cluster_ids_rev = readClusterGeneIDs(cluster_fh)
+        cluster_fh.close()
+    else:
+        cluster_ids = {} 
+        cluster_ids_rev = {}
+
+    input_fn = input_dir + '/gene_profiles.txt'
+    if not os.path.exists(input_fn):
+        exit()
+    input_fh = open(input_fn)
+    gene_profiles = readGeneGainLossProfiles(input_fh, cluster_ids=cluster_ids, cluster_ids_rev=cluster_ids_rev, gene_subset=None, m_type="a")
+    input_fh.close()
+    
+    bin_profiles = {}
+    bin_profiles_det = {}
+    bin_profiles_count = {}
+    bin_profile_id = 0
+    
+    bin_mutations = set([])
+    
+    progress = GWAMARProgress("Gene profiles processed")
+    progress.setJobsCount(len(gene_profiles))
+    
+    for gene_profile in gene_profiles.values():
+        progress.update()
+        
+        ref_state = calcRefStateMutation(gene_profile.full_profile, sc_strains)
+        if ref_state == None: continue
+        
+        bin_profile = calcBinProfileMutation(gene_profile.full_profile, ref_state, gen_bin_profile=True)
+        bin_profile_cmp = compressProfile(bin_profile)
+        full_profile_cmp = compressProfile(gene_profile.full_profile)
+        
+        gene_profile.cmp_profile = bin_profile_cmp
+        gene_profile.full_profile_cmp = full_profile_cmp
+        gene_profile.ref_state = ref_state
+        
+        
+        if not bin_profile_cmp in bin_profiles:
+            bin_profiles[bin_profile_cmp] = bin_profile_id
+            bin_profiles_count[bin_profile_id] = 1
+            gene_profile.bin_profile_id = bin_profile_id
+            
+            bin_profile_id += 1
+        else:
+            bin_profile_id_ex = bin_profiles.get(bin_profile_cmp)
+            gene_profile.bin_profile_id = bin_profile_id_ex
+            bin_profiles_count[bin_profile_id_ex] += 1
+    
+    output_fh = open(inter_dir + '/bin_profiles_G_det.txt', "w")
+    writeMutationsHeader(output_fh, strains.allStrains(), only_strains=True, sep=" ")
+    for gene_profile in sorted(gene_profiles.values(), key=lambda gp:(gp.gene_id, gp.cluster_id)):
+        if gene_profile.ref_start == -1:
+            text_line = ">" + gene_profile.gene_id + "\t" + gene_profile.cluster_id + "\t" + gene_profile.gene_name + "\n"
+        else:
+            text_line = ">" + gene_profile.gene_id + "\t"
+            text_line += gene_profile.cluster_id + "\t"
+            text_line += gene_profile.gene_name + "\t"
+            text_line += str(gene_profile.ref_start) + "\t"
+            text_line += str(gene_profile.ref_end) + "\t"
+            text_line += str(gene_profile.ref_strand) + "\n"
+        output_fh.write(text_line)
+        
+        text_line = "g" +"\t" + str(gene_profile.bin_profile_id) + "\t" + gene_profile.ref_state + "\t" + gene_profile.full_profile_cmp + "\n"
+        output_fh.write(text_line)
+    output_fh.close()
+
+    output_fh = open(inter_dir + '/bin_profiles_G.txt', "w")
+    for bin_profile_cmp in sorted(bin_profiles):
+        bin_profile_id = bin_profiles[bin_profile_cmp]
+        text_line = str(bin_profile_id) +"\t" + bin_profile_cmp
+        output_fh.write(text_line + "\n")
+    output_fh.close()
+
+    output_fh = open(inter_dir + '/bin_profiles_G_count.txt', "w")
+    for bin_profile_id, bin_profile_count in bin_profiles_count.items():
+        output_fh.write(str(bin_profile_id) + "\t" + str(bin_profile_count)+ "\n")
+    output_fh.close()
+
+    print("p2_convert_profiles_genes.py: Finished.")
+    
\ No newline at end of file
diff --git a/src/drsoft/prepare/p3_convert_profiles_muts.py b/src/drsoft/prepare/p3_convert_profiles_muts.py
new file mode 100644
index 0000000..a77ce32
--- /dev/null
+++ b/src/drsoft/prepare/p3_convert_profiles_muts.py
@@ -0,0 +1,150 @@
+import sys
+import os
+import copy
+from multiprocessing import Pool
+import multiprocessing
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_utils import *
+from drsoft.utils.gwamar_ann_utils import readClusterGeneIDs
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_res_utils import findScStrains
+from drsoft.utils.gwamar_muts_io_utils import *
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_res_io_utils import readResistanceProfiles
+
+if __name__ == '__main__':
+    print("p3_convert_profiles_muts.py: converts mutation profiles. Start.")
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    inter_dir = output_dir = parameters["DATASET_DIR"] + "/"+parameters["EP"]+"P/"
+    ensure_dir(inter_dir)
+
+    input_fh = open(input_dir + "/strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+
+    strains_list = strains.allStrains()
+        
+    input_fh = open(inter_dir + "/res_profiles.txt")
+    res_profiles_list = readResistanceProfiles(input_fh, load_int=True)
+    input_fh.close()
+    
+    sc_strains = findScStrains(res_profiles_list)
+
+    print("Strains selected as reference:")
+    for strain_index in sc_strains:
+        print(str(strain_index) + ": " +strains_list[strain_index])
+
+    res_profiles = {}
+    for res_profile in res_profiles_list:
+        res_profiles[res_profile.drug_name] = res_profile
+    
+    if os.path.exists(input_dir + "/cluster_gene_ref_ids.txt"):
+        cluster_fh = open(input_dir + "/cluster_gene_ref_ids.txt")
+        cluster_ids, cluster_ids_rev = readClusterGeneIDs(cluster_fh)
+        cluster_fh.close()
+    else:
+        cluster_ids = {} 
+        cluster_ids_rev = {}
+
+    input_fh = open(input_dir + '/point_mutations.txt')
+    gene_profiles = readPointMutations(input_fh, cluster_ids=cluster_ids, cluster_ids_rev=cluster_ids_rev, gene_subset=None, strains_list=strains_list, m_type="a")
+    input_fh.close()
+    
+    bin_profiles = {}
+    bin_profiles_count = {}
+    bin_profile_id = 0
+    
+    bin_mutations = set([])
+    
+    progress = GWAMARProgress("Point mutations processed")
+    progress.setJobsCount(len(gene_profiles))
+
+    total_count = 0
+            
+    for gene_profile in gene_profiles.values():
+        progress.update()
+
+   #     if gene_profile.gene_id.startswith("SARr"):
+   #         print(gene_profile.gene_id, len(gene_profile.mutations))
+        
+        for mutation in gene_profile.mutations.values():
+
+            ref_state = calcRefStateMutation(mutation.full_profile, sc_strains)
+            if ref_state == None: continue
+            
+            total_count +=1
+
+            bin_profile = calcBinProfileMutation(mutation.full_profile, ref_state, gen_bin_profile=True)
+            bin_profile_cmp = compressProfile(bin_profile)
+            mutation.ref_state = ref_state
+            
+            if not bin_profile_cmp in bin_profiles:
+                bin_profiles[bin_profile_cmp] = bin_profile_id   
+                bin_profiles_count[bin_profile_id] = 1   
+                mutation.bin_profile_id = str(bin_profile_id)    
+                bin_profile_id += 1
+            else:
+                bin_profile_id_ex = bin_profiles[bin_profile_cmp]
+                mutation.bin_profile_id = str(bin_profile_id_ex)
+                bin_profiles_count[bin_profile_id_ex] += 1
+
+
+    print("mutation profiles count: ", total_count)
+    print("bin profiles count: ", len(bin_profiles))
+
+    output_fh = open(inter_dir + '/bin_profiles_P.txt', "w")
+    for bin_profile_cmp in sorted(bin_profiles):
+        bin_profile_id = bin_profiles[bin_profile_cmp]
+        tl = str(bin_profile_id) +"\t" + bin_profile_cmp
+        if bin_profile_cmp.endswith(" "): continue
+        output_fh.write(tl + "\n")
+    output_fh.close()
+
+    output_fh = open(inter_dir + '/bin_profiles_P_count.txt', "w")
+    for bin_profile_id, bin_profile_count in bin_profiles_count.items():
+        output_fh.write(str(bin_profile_id) + "\t" + str(bin_profile_count)+ "\n")
+    output_fh.close()
+
+    output_fh = open(inter_dir + '/bin_profiles_P_det.txt', "w")
+    writeMutationsHeader(output_fh, strains.allStrains(), only_strains=True, sep=" ")
+    for gene_profile in sorted(gene_profiles.values(), key=lambda gp:(gp.gene_id, gp.cluster_id)):
+        if gene_profile.ref_start == -1:
+            tl = ">" + gene_profile.gene_id + "\t" + gene_profile.cluster_id + "\t" + gene_profile.gene_name + "\n"
+        else:
+            tl = ">" + gene_profile.gene_id + "\t"
+            tl += gene_profile.cluster_id + "\t"
+            tl += gene_profile.gene_name + "\t"
+            tl += str(gene_profile.ref_start) + "\t"
+            tl += str(gene_profile.ref_end) + "\t"
+            tl += str(gene_profile.ref_strand) + "\n"
+        output_fh.write(tl)
+        
+        if len(gene_profile.mutations) > 0:
+            for position in sorted(gene_profile.mutations):
+                mutation = gene_profile.mutations[position]
+                ref_state = mutation.ref_state
+
+                full_profile = mutation.full_profile
+                    
+                desc_tl = compressProfile(full_profile)
+                if desc_tl.endswith(" "): continue
+
+                tl = str(position) + "\t"
+                tl += str(mutation.m_type) + "\t"
+                tl += str(mutation.bin_profile_id) + "\t"
+                tl += str(mutation.ref_state) + "\t"
+                tl += desc_tl.strip() + "\n"
+                output_fh.write(tl)
+    output_fh.close()
+
+    print("p3_convert_profiles_muts.py: Finished.")
+    
\ No newline at end of file
diff --git a/src/drsoft/prepare/p4_gen_binary_trees.py b/src/drsoft/prepare/p4_gen_binary_trees.py
new file mode 100644
index 0000000..3963c61
--- /dev/null
+++ b/src/drsoft/prepare/p4_gen_binary_trees.py
@@ -0,0 +1,158 @@
+import os
+import sys
+import time
+import random
+import copy
+import shutil
+from collections import deque
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_tree_io_utils import *
+from drsoft.structs.res_tree import ResTreeNode
+
+def generateBinaryTree(n):
+    bin_tree = ResTreeNode(1, None)
+    
+    queue = deque()
+    queue.append(bin_tree)
+    i = 1
+    index = 0
+    
+    while i < n:
+        node = queue.popleft()
+        
+        left = ResTreeNode(index, node)
+        right = ResTreeNode(index+1, node)
+        
+        node.children = [left, right]
+        queue.append(left)
+        queue.append(right)
+        i += 1
+        index += 2
+    return bin_tree
+
+def binarizeTreeRandom(tree):
+    queue = deque()
+    queue.append(tree.root)
+    
+    while queue:
+        node = queue.popleft()
+        if len(node.children) == 0:
+            pass
+        elif len(node.children) == 2:
+            for child_node in node.children:
+                queue.append(child_node)
+        elif len(node.children) == 1:
+            print("something wrong,1 ")
+        else:
+            n = len(node.children)
+            tree_tmp = generateBinaryTree(n)
+
+            perm = list(range(n))
+            random.shuffle(perm)
+ 
+            node_children = copy.deepcopy(node.children)
+            node.children = tree_tmp.children
+            
+            leaf_nodes = tree_tmp.getLeaves()
+
+            for new_child in node.children:
+                new_child.parent = node
+            
+            for i in range(n):
+                index = perm[i]
+                
+                child_node = node_children[i]
+                leaf_node = leaf_nodes[index]
+                        
+                leaf_node.children = child_node.children
+                leaf_node.node_id = child_node.node_id
+                
+                #print(i, index, child_node.node_id, leaf_node.node)
+                
+                for ch_node in leaf_node.children:
+                    ch_node.parent = leaf_node
+                    
+                queue.append(leaf_node)
+            
+                            
+            #print("before", len(node.children))
+            
+            #print("after", len(node.children))
+            
+
+            
+    return tree
+
+def randomBinaryTrees(tree, strains, k):
+    random_trees_txt = ""
+#    trees = readPhyloTrees(input_fh, strains_list)
+ #   tree = list(trees)[0]
+    flat_tree = tree.flatten(0.00001)
+    
+    for i in range(k):
+        flat_tree_tmp = copy.deepcopy(flat_tree)
+        
+        random_bin_tree = binarizeTreeRandom(flat_tree_tmp)
+        random_tree_txt = random_bin_tree.toString(lengths=False, strains=strains)
+        
+      #  output_fh.write(random_tree_txt+ ";\n")
+        random_trees_txt += random_tree_txt+ ";\n"
+    return random_trees_txt
+
+if __name__ == '__main__':
+    print("p4_gen_binary_trees: binarizes the given tree (randomly). Start.")
+
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    tree_ids=["PHYML", "RAXML", "", "PHYLIP"]
+    tree_ids.append(parameters.get("TREE_ID", ""))
+
+    WORKERS = 1#min(int(parameters["W"]), multiprocessing.cpu_count())
+        
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+        
+    input_fh = open(input_dir + "strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+
+    strains_list = strains.allStrains()
+
+    for tree_id in tree_ids:
+
+        input_fn = results_dir + "tree"+tree_id+".txt"
+        if not os.path.exists(input_fn):
+            continue
+        input_fh = open(input_fn)
+        tree = readPhyloTrees(input_fh, strains_list)[0]
+        input_fh.close()
+      
+        random_trees_txt = randomBinaryTrees(tree, strains, 3)
+
+        results_dir = output_dir = parameters["DATASET_DIR"] + "/"+parameters["EP"]+"G/"
+        output_fn = results_dir + "tree"+tree_id+"_bin.txt"
+        input_bin_fn = input_dir + "tree"+tree_id+"_bin.txt"
+        if os.path.exists(input_bin_fn):
+            shutil.copy2(input_bin_fn, output_fn)
+        else:
+            output_fh = open(output_fn, "w")
+            output_fh.write(random_trees_txt)
+            output_fh.close();
+        
+        results_dir = output_dir = parameters["DATASET_DIR"] + "/"+parameters["EP"]+"P/"
+        output_fn = results_dir + "tree"+tree_id+"_bin.txt"
+        input_bin_fn = input_dir + "tree"+tree_id+"_bin.txt"
+        if os.path.exists(input_bin_fn):
+            shutil.copy2(input_bin_fn, output_fn)
+        else:
+            output_fh = open(output_fn, "w")
+            output_fh.write(random_trees_txt)
+            output_fh.close();
+
+    print("p4_gen_binary_trees: Finished.")
diff --git a/src/drsoft/prepare/p5_cmp_resistance_profiles.py b/src/drsoft/prepare/p5_cmp_resistance_profiles.py
new file mode 100644
index 0000000..f71a6c3
--- /dev/null
+++ b/src/drsoft/prepare/p5_cmp_resistance_profiles.py
@@ -0,0 +1,128 @@
+import sys
+import os
+import copy
+from multiprocessing import Pool
+import multiprocessing
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_ann_utils import *
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_res_utils import *
+from drsoft.utils.gwamar_strains_io_utils import *
+from drsoft.utils.gwamar_muts_io_utils import *
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_progress_utils import *
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+
+
+profile_clusters = {
+"Fluoroquinolones":["Gatifloxacin","Ofloxacin","Moxifloxacin","Levofloxacin","Ciprofloxacin"],
+"Aminoglycosides":["Amikacin","Kanamycin","Capreomycin"],
+"Rifampicin":["Rifampicin","Rifabutin"]
+ }  
+
+def combineResistanceProfiles(res_profiles):
+    res_profiles_comb = []
+
+    combined = set([])
+    res_profiles_map = {}
+    for drp in res_profiles: res_profiles_map[drp.drug_name] = drp
+
+ #   print(res_profiles_map.keys())
+    
+    for cluster_id in profile_clusters:
+        cluster_drp = ResistanceProfile(cluster_id, count = k)
+
+        for drug_name in profile_clusters[cluster_id]:
+            drp = res_profiles_map.get(drug_name, None)
+            if drp!= None:
+                combined.add(drp.drug_name)
+
+        for i in range(k):
+            res_count = 0
+            int_count = 0
+            susc_count = 0
+            for drug_name in profile_clusters[cluster_id]:
+                drp = res_profiles_map.get(drug_name, None)
+
+                if drp != None:
+
+                    if drp.full_profile[i] == "R": res_count += 1
+                    elif drp.full_profile[i] == "I": int_count += 1
+                    elif drp.full_profile[i] == "S": susc_count += 1
+
+            if res_count > 0 and susc_count >0:
+              #  print("conflict", cluster_id, profile_clusters[cluster_id], i, strains_list[i], susc_count, int_count, res_count)
+                cluster_drp.changeState(i, "?")
+            elif res_count >= 1 and susc_count == 0:
+                cluster_drp.changeState(i, "R")
+            elif res_count == 0 and susc_count >= 1:
+                cluster_drp.changeState(i, "S")
+            elif res_count == 0 and susc_count == 0 and int_count >=1:
+                cluster_drp.changeState(i, "I")
+            else:
+                cluster_drp.changeState(i, "?")
+#        print(''.join(cluster_drp.full_profile), cluster_drp.drug_name)
+        res_profiles_comb.append(cluster_drp)
+
+#    print(combined)
+
+    # for drp in res_profiles_comb:
+    #     drp.computeResSets()
+    #     print(drp.drug_name, len(drp.getKnown()))
+
+    for drp in res_profiles:
+   #     if not drp.drug_name in combined:
+        res_profiles_comb.append(drp)
+    return res_profiles_comb
+
+if __name__ == '__main__':
+    print("p5_cmp_resistance_profiles.py: preparation of resistnce profiles for comparison of different association scores. Start.")
+
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    m_type = parameters["MT"]
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+
+    sel_profiles = parameters["CMP_PROFILES"].split(",")
+
+    input_fh = open(input_dir + "/strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+    
+    strains_list = strains.allStrains()
+    k = len(strains_list)
+
+    input_fn = input_dir + "/res_profiles_ret.txt"
+    if not os.path.exists(input_fn):
+        input_fn =  input_dir + "/res_profiles.txt"
+        if not os.path.exists(input_fn):
+            print("File " + input_fn + " does not exist.")
+            sys.exit()
+    output_fn = input_dir + "/res_profiles_cmp.txt"
+    if os.path.exists(output_fn):
+        print("Output file: " + output_fn + " already exist.")
+        print("In order to use them replace manually this file with: ")
+        print(results_dir + "/res_profiles_cmp.txt")
+    else:
+        input_fh = open(input_fn)
+        res_profiles = readResistanceProfiles(input_fh, strains_list=strains.allStrains(), load_int=True)
+        input_fh.close()
+
+        res_profiles_comb = combineResistanceProfiles(res_profiles)
+        
+        output_fh = open(output_fn, "w")
+        saveResistanceProfiles(output_fh, res_profiles_comb, strains_list, compress=True, sel_profiles=sel_profiles)
+        output_fh.close()
+
+        print("Profiles used for comparison of the association scores are generated in the file: ")
+        print(output_fn)
+        print("In order to use them replace manually this file with: ")
+        print(results_dir + "/res_profiles_cmp.txt")
+    
+    print("p5_cmp_resistance_profiles.py. Finished")
diff --git a/src/drsoft/scoring/__init__.py b/src/drsoft/scoring/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/drsoft/scoring/sc1_compute_std_scores.py b/src/drsoft/scoring/sc1_compute_std_scores.py
new file mode 100644
index 0000000..d26440e
--- /dev/null
+++ b/src/drsoft/scoring/sc1_compute_std_scores.py
@@ -0,0 +1,106 @@
+import sys
+import os
+import copy
+import multiprocessing
+from multiprocessing import Pool
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_ann_utils import *
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_res_utils import *
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_strains_io_utils import *
+from drsoft.utils.gwamar_muts_io_utils import *
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_tree_io_utils import *
+from drsoft.utils.gwamar_progress_utils import *
+from drsoft.utils.gwamar_scoring_flat_utils import *
+from drsoft.utils.gwamar_scoring_tree_utils import *
+from drsoft.utils.gwamar_scoring import *
+from drsoft.utils.gwamar_utils import ensure_dir
+
+def scoreDrug(params):
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    drug_name = params["DRUG_NAME"]
+    score_full = params["SCORE"]
+
+    bin_profile_scores, rev_sorting = computeScores(score_full, drug_name, parameters)
+
+    if bin_profile_scores == None:
+        print("Something has gone wrong: "+ drug_name + " " + score_full)
+        return drug_name, score_full
+    
+    tls = []
+    bin_profile_scores_sorted = sorted(bin_profile_scores, key=lambda bin_profile_id:rev_sorting*bin_profile_scores[bin_profile_id])
+
+    for bin_profile_id in bin_profile_scores_sorted:
+        bin_profile_score = bin_profile_scores[bin_profile_id]
+        tl = "\t".join([str(bin_profile_id), str(bin_profile_score)])
+        tls.append(tl)
+
+    ensure_dir(parameters["RESULTS_SCORES_DIR"] + drug_name + "/")
+
+    output_fh = open(parameters["RESULTS_SCORES_DIR"] + drug_name + "/" + score_full + ".txt", "w") 
+    output_fh.write("\n".join(tls))
+    output_fh.close()
+    
+    return drug_name, score_full
+    
+if __name__ == '__main__':
+    print("sc1_compute_std_scores.py. Computation of scores...")
+
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    
+    ensure_dir(results_dir)
+    ensure_dir(scores_dir)
+    ensure_dir(parameters["TGH_DIR"])
+    
+    score_params = parameters["SCORES"].split(",")
+    print("Scores to compute: " + " ".join(score_params))
+    
+    TASKS = []
+    TASK = {}
+    
+    input_fn = results_dir + "/res_profiles.txt"
+    input_fh = open(input_fn)
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+
+    print("Drug resistance profiles: " + ' '.join(drug_names))
+    
+    for drug_name in drug_names:
+        ensure_dir(scores_dir + drug_name)
+        for score_param in score_params:
+            if parameters["OW"] == "N" and os.path.exists(parameters["RESULTS_SCORES_DIR"] + drug_name + "/" + score_param + ".txt"):
+                continue
+            TASK["DRUG_NAME"] = drug_name
+            TASK["SCORE"] = score_param
+            TASKS.append(TASK.copy())
+
+    print("Total number of jobs: " + str(len(TASKS)))
+
+    progress = GWAMARProgress("Scores computed")
+    progress.setJobsCount(len(TASKS))
+    WORKERS = min(WORKERS, len(TASKS))
+
+    if WORKERS > 1:
+        pool = Pool(processes=WORKERS)
+        for r in pool.imap(scoreDrug, TASKS):
+            progress.update(str(r))
+    else:
+        for T in TASKS:
+            r = scoreDrug(T)
+            progress.update(str(r))
+
+    print("sc1_compute_std_scores.py. Finished")
diff --git a/src/drsoft/scoring/sc2_save_std_rankings.py b/src/drsoft/scoring/sc2_save_std_rankings.py
new file mode 100644
index 0000000..0883866
--- /dev/null
+++ b/src/drsoft/scoring/sc2_save_std_rankings.py
@@ -0,0 +1,111 @@
+import sys
+import os
+import copy
+import random
+import multiprocessing
+from multiprocessing import Pool
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_scoring import revOrder
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_res_io_utils import readResistanceProfiles
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+
+
+def scoreParamsSet(params):
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    score = params["SCORE"]
+
+    rev_order = revOrder(score)
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    ranks_dir = parameters["RESULTS_RANKS_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+
+    input_fh = open(input_dir + "/strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+    
+    input_fh = open(results_dir + "/res_profiles.txt")
+    res_profiles_list = readResistanceProfiles(input_fh, load_int=True)
+    input_fh.close()
+    
+    input_fh = open(results_dir + '/bin_profiles_' + parameters["MT"] + '_count.txt')
+    bin_profile_count = readBinProfileCounts(input_fh)
+    input_fh.close()
+
+    for drug_res_profile in res_profiles_list:
+        drug_name = drug_res_profile.drug_name
+        ensure_dir(ranks_dir + drug_name)
+        
+        input_fn = scores_dir + drug_name + "/" + score + ".txt"
+        if not os.path.exists(input_fn) or os.path.getsize(input_fn) < 10:
+            print("NOT EXIST: ", input_fn)
+            continue
+        
+        input_fh = open(input_fn)
+        bin_profiles_sorted = readBinProfilesSorted(input_fh, rev_order)
+        input_fh.close()
+        
+        bin_profiles_ranks = computeRankings(bin_profiles_sorted, bin_profile_count)
+
+        tls = []
+        for bin_profile_id, bin_profile_score in bin_profiles_sorted:
+            ranks_list = list(bin_profiles_ranks[bin_profile_id])
+            # if drug_name.startswith("Rif") or drug_name.startswith("Eth"):
+            #     print(drug_name, score, bin_profile_id, bin_profile_score, bin_profile_count[bin_profile_id], ranks_list)
+
+            tl = "\t".join(map(str, [bin_profile_id] + ranks_list)) + "\n"
+            tls.append(tl)
+    
+        output_fn = ranks_dir + str(drug_name) + "/" + str(score) + ".txt"    
+        output_fh = open(output_fn, "w")
+        for tl in tls:
+            output_fh.write(tl)
+        output_fh.close()
+        
+    return score
+
+if __name__ == '__main__':
+    print("sc2_save_std_rankings.py: computation of rankings.")
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    ranks_dir = parameters["RESULTS_RANKS_DIR"]
+    ensure_dir(ranks_dir)
+    
+    score_params = parameters["SCORES"].split(",")
+    
+    TASKS = []
+    TASK = {}
+    
+    for score_param in score_params:
+        TASK["SCORE"] = score_param
+
+        TASKS.append(TASK.copy())
+
+    progress = GWAMARProgress("Rankings computed")
+    progress.setJobsCount(len(TASKS))
+    WORKERS = min(WORKERS, len(TASKS))
+
+    if WORKERS > 1:
+        pool = Pool(processes=WORKERS)   
+        for r in pool.imap(scoreParamsSet, TASKS):
+            progress.update(str(r))
+    else:
+        for T in TASKS:
+            r = scoreParamsSet(T)
+            progress.update(str(r))
+            
+    print("sc2_save_std_rankings.py. Finished")
+    
\ No newline at end of file
diff --git a/src/drsoft/scoring/sc3_compute_perm_scores.py b/src/drsoft/scoring/sc3_compute_perm_scores.py
new file mode 100644
index 0000000..4924900
--- /dev/null
+++ b/src/drsoft/scoring/sc3_compute_perm_scores.py
@@ -0,0 +1,94 @@
+import sys
+import os
+import copy
+from multiprocessing import Pool
+import multiprocessing
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_res_io_utils import readDrugNames
+
+
+def scoreDrug(params):
+    score_full = params["SCORE"]
+    drug_name = params["DRUG_NAME"]
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    perm_pvalues_dir = parameters["RESULTS_PERM_PVALUES_DIR"]
+    perm_rep = parameters["REPS"]
+    
+    input_fn = perm_pvalues_dir + drug_name + "/" + score_full +  ".txt"
+    if not os.path.exists(input_fn):
+        print(input_fn)
+        return drug_name, score_full
+    
+    text_lines = []
+    
+    input_fh = open(input_fn)
+    for line in input_fh.readlines():
+        tokens = line.split()
+        if len(tokens) < 2: continue
+        text_line = tokens[0] + "\t" + tokens[1] + "\n"
+        text_lines.append(text_line)
+    input_fh.close()
+
+    output_fh = open(scores_dir + drug_name + "/" + "pv-" + str(perm_rep) + "-" + score_full + ".txt", "w") 
+    for text_line in text_lines:
+        output_fh.write(text_line)
+    output_fh.close()
+    
+    return drug_name, score_full
+    
+if __name__ == '__main__': 
+    print("sc3_compute_perm_scores.py. Permutation scores.")
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    score_params = parameters["SCORES"].split(",")
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    
+    TASKS = []
+    TASK = {}
+
+    input_fn = results_dir + "/res_profiles.txt"
+    input_fh = open(input_fn)
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    
+    for drug_name in drug_names:
+        for score_param in score_params:
+
+            TASK["DRUG_NAME"] = drug_name
+            TASK["SCORE"] = score_param
+
+            TASKS.append(TASK.copy())
+
+    progress = GWAMARProgress("Scores computed")
+    progress.setJobsCount(len(TASKS))
+
+    WORKERS = min(WORKERS, len(TASKS))
+    
+    if WORKERS > 1:
+        pool = Pool(processes=WORKERS)
+        for r in pool.imap(scoreDrug, TASKS):
+            progress.update(str(r))
+    else:
+        for T in TASKS:
+            r = scoreDrug(T)
+            progress.update(str(r))
+
+    print("sc3_compute_perm_scores.py. Finished.")
diff --git a/src/drsoft/scoring/sc4_save_perm_rankings.py b/src/drsoft/scoring/sc4_save_perm_rankings.py
new file mode 100644
index 0000000..2685f8e
--- /dev/null
+++ b/src/drsoft/scoring/sc4_save_perm_rankings.py
@@ -0,0 +1,111 @@
+import sys
+import os
+import copy
+import random
+from multiprocessing import Pool
+import multiprocessing
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_res_io_utils import readResistanceProfiles
+from drsoft.utils.gwamar_scoring import revOrder
+
+
+def scoreParamsSet(params):
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    score = params["SCORE"]
+
+    rev_order = revOrder(score)
+
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    ranks_dir = parameters["RESULTS_RANKS_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+
+    input_fh = open(input_dir + "/strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+
+    input_fh = open(results_dir + "/res_profiles.txt")
+    drug_res_profiles = readResistanceProfiles(input_fh, load_int=True)
+    input_fh.close()
+    
+    input_fh = open(results_dir + '/bin_profiles_' + parameters["MT"] + '_count.txt')
+    bin_profile_count = readBinProfileCounts(input_fh)
+    input_fh.close()
+    
+    for drug_res_profile in drug_res_profiles:
+        drug_name = drug_res_profile.drug_name
+        tls = []
+       # print(bin_profiles_res_rel)
+        input_fn = scores_dir + drug_name + "/" + score + ".txt"
+        if not os.path.exists(input_fn) or os.path.getsize(input_fn) < 10:
+            print("NOT EXIST: ", input_fn)
+            continue
+        
+        ensure_dir(ranks_dir + drug_name)
+                
+        input_fh = open(input_fn)
+        bin_profiles_sorted = readBinProfilesSorted(input_fh, rev_order)
+        input_fh.close()
+        
+        n = len(bin_profiles_sorted)
+        bin_profiles_ranks = computeRankings(bin_profiles_sorted, bin_profile_count)
+
+        for i in range(n):
+            bin_profile_id, bin_profile_score = bin_profiles_sorted[i]
+            ranks_list = list(bin_profiles_ranks[bin_profile_id])
+
+            tl = "\t".join(map(str, [bin_profile_id] + ranks_list)) + "\n"
+            tls.append(tl)
+    
+        output_fn = ranks_dir + str(drug_name) + "/" + str(score) + ".txt"    
+        output_fh = open(output_fn, "w")
+        for tl in tls:
+            output_fh.write(tl)
+        output_fh.close()
+               
+    return score
+
+if __name__ == '__main__':
+    print("sc4_save_perm_rankings.py. Rankings for the permutation pvalue scores.")
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    score_params = parameters["SCORES"].split(",")
+    perm_rep = parameters["REPS"]
+    
+    TASKS = []
+    TASK = {}
+
+    for score_param in score_params:
+        TASK["SCORE"] = "pv-" + str(perm_rep) + "-" + score_param
+
+        TASKS.append(TASK.copy())
+
+        
+    progress = GWAMARProgress("Rankings computed")
+    progress.setJobsCount(len(TASKS))
+      
+    WORKERS = min(WORKERS, len(TASKS))
+
+    if WORKERS > 1:
+        pool = Pool(processes=WORKERS)   
+        for r in pool.imap(scoreParamsSet, TASKS):
+            progress.update(str(r))
+    else:
+        for T in TASKS:
+            r = scoreParamsSet(T)
+            progress.update(str(r))
+                  
+    print("sc4_save_perm_rankings.py. Finished.")
diff --git a/src/drsoft/scoring/sc5_compute_norm_scores.py b/src/drsoft/scoring/sc5_compute_norm_scores.py
new file mode 100644
index 0000000..f1f0cd1
--- /dev/null
+++ b/src/drsoft/scoring/sc5_compute_norm_scores.py
@@ -0,0 +1,129 @@
+import sys
+import os
+import copy
+from multiprocessing import Pool
+import multiprocessing
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_tree_io_utils import readPhyloTrees
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_strains_io_utils import readStrains
+from drsoft.utils.gwamar_scoring import revOrder
+
+
+def normalizeBinScores(bin_profiles_sorted):
+    n = len(bin_profiles_sorted)
+    norm_bin_profiles_sorted = []
+    first_score = bin_profiles_sorted[0][1]
+    last_score = bin_profiles_sorted[-1][1]
+    for i in range(n):
+        bin_profile_id, bin_profile_score = bin_profiles_sorted[i]
+        if last_score == first_score: norm_bin_profile_score = 0.0
+        else: norm_bin_profile_score = float(last_score - bin_profile_score)/float(last_score - first_score)
+        norm_bin_profiles_sorted.append((bin_profile_id, norm_bin_profile_score))
+    return norm_bin_profiles_sorted
+
+def scoreDrug(params):
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+
+    drug_name = params["DRUG_NAME"]
+    score = params["SCORE"]
+
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    ranks_dir = parameters["RESULTS_RANKS_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+
+    rev_order = revOrder(score)
+
+    input_fh = open(input_dir + "/strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+    
+    input_fh = open(results_dir + "/res_profiles.txt")
+    res_profiles_list = readResistanceProfiles(input_fh, load_int=True)
+    input_fh.close()
+    
+    input_fh = open(results_dir + '/bin_profiles_' + parameters["MT"] + '_count.txt')
+    bin_profile_count = readBinProfileCounts(input_fh)
+    input_fh.close()
+    
+    res_profiles = {}
+    
+    for res_profile in res_profiles_list:
+        res_profiles[res_profile.drug_name] = res_profile
+    drug_res_profile = res_profiles[drug_name]
+    input_fn = scores_dir + drug_name + "/" + score + ".txt"
+    if not os.path.exists(input_fn) or os.path.getsize(input_fn) < 10:
+        print("NOT EXIST: ", input_fn)
+        return drug_name, score
+
+    ensure_dir(ranks_dir + drug_name)
+            
+    input_fh = open(input_fn)
+    bin_profiles_sorted = readBinProfilesSorted(input_fh, rev_order)
+    input_fh.close()
+    
+    norm_bin_profiles_sorted = normalizeBinScores(bin_profiles_sorted)        
+
+    output_fh = open(scores_dir + drug_name + "/n-" + score + ".txt", "w") 
+    for (bin_profile_id, bin_profile_score) in norm_bin_profiles_sorted:
+        output_fh.write(str(bin_profile_id) + "\t" + str(bin_profile_score) + "\n")
+    output_fh.close()
+    
+    return drug_name, score
+    
+if __name__ == '__main__':
+    print("sc5_compute_norm_scores.py. Normalization of scores.")
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    WORKERS = min(int(parameters["W"]), multiprocessing.cpu_count())
+    
+    
+    TASKS = []
+    TASK = {}
+    
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    scores_dir = parameters["RESULTS_SCORES_DIR"]
+    
+    input_fn = results_dir + "/res_profiles.txt"
+    input_fh = open(input_fn)
+    drug_names = readDrugNames(input_fh)
+    input_fh.close()
+    
+    for drug_name in drug_names:
+        for score_fn in os.listdir(scores_dir + drug_name):
+            score = score_fn[:-4]
+            if score.startswith("pv-") or score.startswith("n-"):
+                continue
+         #   output_fn = scores_dir + drug_name + "/n-" + score_fn
+         #   if os.path.exists(output_fn): continue
+            
+            TASK["DRUG_NAME"] = drug_name
+            TASK["SCORE"] = score
+
+            TASKS.append(TASK.copy())
+
+    progress = GWAMARProgress("Scores normalized")
+    progress.setJobsCount(len(TASKS))
+    
+    WORKERS = min(WORKERS, len(TASKS))
+
+    if WORKERS > 1:
+        pool = Pool(processes=WORKERS)
+        for r in pool.imap(scoreDrug, TASKS):
+            progress.update(str(r))
+    else:
+        for T in TASKS:
+            r = scoreDrug(T)
+            progress.update(str(r))
+    print("sc5_compute_norm_scores.py. Finished.")
+    
\ No newline at end of file
diff --git a/src/drsoft/structs/__init__.py b/src/drsoft/structs/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/drsoft/structs/gene_profile.py b/src/drsoft/structs/gene_profile.py
new file mode 100644
index 0000000..9f76de2
--- /dev/null
+++ b/src/drsoft/structs/gene_profile.py
@@ -0,0 +1,10 @@
+class GeneProfile:
+    def __init__(self, cluster_id, gene_id, gene_name,ref_start=-1,ref_end=-1,ref_strand="?", full_profile=None):
+        self.cluster_id = cluster_id
+        self.gene_id = gene_id
+        self.gene_name = gene_name
+        self.mutations = {}
+        self.ref_start = ref_start
+        self.ref_end = ref_end
+        self.ref_strand = ref_strand
+        self.full_profile = full_profile
\ No newline at end of file
diff --git a/src/drsoft/structs/mutation_profile.py b/src/drsoft/structs/mutation_profile.py
new file mode 100644
index 0000000..2899191
--- /dev/null
+++ b/src/drsoft/structs/mutation_profile.py
@@ -0,0 +1,8 @@
+class MutationProfile:
+    def __init__(self, position, m_type="?", full_profile=None):
+        self.position = position
+        if m_type == "?":
+            if self.position <= 0: m_type = "p"
+            else: m_type = "n"
+        self.m_type = m_type
+        self.full_profile = full_profile
diff --git a/src/drsoft/structs/rel_graph.py b/src/drsoft/structs/rel_graph.py
new file mode 100644
index 0000000..86fd078
--- /dev/null
+++ b/src/drsoft/structs/rel_graph.py
@@ -0,0 +1,92 @@
+from collections import deque
+
+class RelGraphNode:
+    def __init__(self, node_id, label=None, ncolor=None, mprofile=None):
+        self.node_id = node_id
+        self.edges = []
+        self.edges_rev = []
+        self.parent = None
+        self.ncolor = ncolor
+        self.mprofile = mprofile
+        if label==None: self.label = node_id
+        else: self.label = label
+    def setLabel(self, label):
+        self.label = label
+    def addEdge(self, edge):
+        self.edges.append(edge)
+    def addEdgeRev(self, edge):
+        self.edges_rev.append(edge)
+    def is_leaf(self):
+        return len(self.edges) == 1            
+
+class RelGraphEdge:
+    def __init__(self, tnode, label=None, ecolor=None):
+        self.tnode = tnode
+        self.label = label
+        self.ecolor = ecolor
+    def setLabel(self, label):
+        self.label = label
+
+class RelGraph:
+    def __init__(self):
+        self.nodes = {}
+
+    def addNode(self, node):
+        self.nodes[node.node_id] = node
+
+    def size(self):
+        return len(self.nodes)
+
+    def visible_nodes(self, snodes):
+        visible = set([])
+        queue = list(snodes)
+        for node in self.nodes.values():
+            node.visited = False
+
+        while len(queue) > 0:
+            node = queue.pop()
+            print(node.label)
+            node.visited = True
+            for edge in node.edges_rev:
+                if edge.tnode.visited== False:
+                    queue.append(edge.tnode)
+            visible.add(node)
+        return visible
+
+    def component(self, node):
+        cc = []
+        queue = [node]
+        while len(queue) > 0:
+            node = queue.pop()
+            node.visited = True
+            for edge in node.edges:
+                if edge.tnode.visited== False:
+                    queue.append(edge.tnode)
+            cc.append(node)
+        return cc
+
+    def connected_components(self):
+        ccs = []
+        for node in self.nodes.values():
+            node.visited = False
+
+        for node in self.nodes.values():
+            if node.visited == False:
+                ccs.append(self.component(node))
+        return ccs
+            
+    # def __str__(self):
+    #     txt = "TREE ROOT ID: " + str(self.root_id) + "\n"
+    #     for i in self.nodes:
+    #         node_i = self.nodes[i]
+    #         parent = node_i.parent
+    #         if parent == None: 
+    #             txt += str(i) + "\t" + str("ROOT:")+str(node_i.ecolor)+"|"+str("%.5f" % 0.0)+"\t" #+ str(len(node_i.children)) +":"
+    #         else:
+    #             txt += str(i) + "\t" + str(parent.node_id) + ":"+str(node_i.ecolor)+"|"+str("%.5f" % node_i.e_len)+"\t" #+ str(len(node_i.children)) +":"
+    #         for node_j in node_i.children:
+    #             txt += str(node_j.node_id) + ","
+    #         txt = txt[:-1] + "\n"
+             
+    #     return txt
+            
diff --git a/src/drsoft/structs/res_tree.py b/src/drsoft/structs/res_tree.py
new file mode 100644
index 0000000..0eebfcd
--- /dev/null
+++ b/src/drsoft/structs/res_tree.py
@@ -0,0 +1,371 @@
+from collections import deque
+
+class ResTreeNode:
+    def __init__(self, node_id, parent=None, label=None):
+        self.node_id = node_id
+        self.children = []
+        self.parent = None
+        self.e_len = 1.0
+        self.ecolor = None
+        if label==None: self.label = node_id
+        else: self.label = label
+        self.contribution = 0.0
+    def setLabel(self, label):
+        self.label = label
+    def addChild(self, child_node):
+        self.children.append(child_node)
+    def addChildren(self, child_node):
+        self.children.append(child_node)
+    def setParent(self, parent):
+        self.parent = parent
+    def is_leaf(self):
+        return len(self.children) == 0
+    def getLeaves(self):
+        queue = deque([])
+        if len(self.children) == 0: return [self]
+        queue.append(self)
+        
+        leaves = []
+        while queue:
+            node = queue.popleft()
+            if node == None: continue
+            children_list = list(node.children)
+            if len(children_list) == 0: leaves.append(node)
+            else:
+                for child in children_list: queue.append(child)
+        return leaves
+
+    def flatten(self, thr = 0.0, min_val = 0.00001):
+        if self.e_len > thr:
+            curr_node = ResTreeNode(self.node_id)
+            curr_node.e_len = max(min_val, self.e_len)
+            for child_node in self.children:
+                res = child_node.flatten(thr)
+                for c in res:
+                    #c.setEdgeLen(child_node.getEdgeLen())
+                    curr_node.children.append(c)
+            return [curr_node]
+        else:
+            if len(self.children) == 0:
+                leaf_node = ResTreeNode(self.node_id)
+                leaf_node.e_len = max(min_val,self.e_len)
+                return [leaf_node]
+            else:
+                forest = []
+                for child_node in self.children:
+                    res = child_node.flatten(thr)
+                    for c in res:
+                        forest.append(c)        
+                return forest;
+            
+    def toString(self, lengths=True, is_root = True, strains = None, int_labels= False, strains_map={}):
+        n = len(self.children)
+        if n==0:
+            if lengths == False:
+                if strains == None:
+                    return str(self.label)
+                else:
+                    strain_id = str(strains.getStrain(self.node_id))
+                    return strains_map.get(strain_id, strain_id)
+            else:
+                if strains == None:
+              #      print("ttt", strain_id, strains_map)
+                    return str(strains_map.get(self.label, self.label)) + ":" + str("%.5f" % self.e_len)
+                else:
+                    strain_id = str(strains.getStrain(self.node_id))
+              #      print("xxx", strain_id, strains_map)
+                    return  strains_map.get(strain_id, strain_id) + ":" + str("%.5f" % self.e_len)
+        else:
+            text = "("
+            i = 0
+            for child in self.children:
+                text += child.toString(lengths = lengths, is_root = False, strains = strains, int_labels=int_labels, strains_map=strains_map)
+                i += 1
+                if i < n:
+                    text += ","
+            text += ")"
+            if int_labels == True:
+                text +="S" + str(self.node_id)
+                
+            if lengths == True and is_root == False:
+                text += ":" + str("%.5f" % self.e_len)
+            return text
+
+class ResTree:
+    def __init__(self, leaves_count):
+        self.root_id = 0
+        self.root = None
+        self.nodes = {}
+        self.leaves_count = leaves_count
+        self.nodes_count = leaves_count
+        self.leaves = set([])
+        self.leaf_ids = set([])
+        
+    def calcInnerNodesBU(self):
+        for node in self.nodes.values():
+            node.visited = 0
+        
+        q = deque(self.leaves)
+        
+        self.inner_nodes_bu = []
+        while len(q) > 0:
+            node = q.popleft()
+            if len(node.children) > 0:
+                self.inner_nodes_bu.append(node)
+                
+            parent = node.parent
+            if parent != None:
+                parent.visited += 1
+                if parent.visited == len(parent.children):
+                    q.append(parent)
+            
+        return self.inner_nodes_bu
+            
+    def flatten(self, thr=0.0):
+        flatten_forest = self.root.flatten(thr)
+        flat_root = None
+        if len(flatten_forest) == 1:
+            flat_root = list(flatten_forest)[0]
+        else:
+            flat_root = ResTreeNode("x")
+            for c in flatten_forest:
+                flat_root.addChild(c)
+        leaves_count = len(flat_root.getLeaves())
+        flat_tree = ResTree(leaves_count)
+        flat_tree.setRoot(flat_root)
+        return flat_tree
+    
+    def setObservedResProfile(self, res_profile):
+        for i in set(range(len(res_profile))) & set(self.nodes.keys()):
+            self.nodes[i].observed_res_state = res_profile[i]
+
+    def setObservedResProfileOther(self, res_profiles):
+        k = len(res_profiles)
+        for i in set(self.nodes.keys()):
+            self.nodes[i].observed_res_state_map = ["?"]*k
+        for di in range(k):
+            for i in set(range(len(res_profiles[di]))) & set(self.nodes.keys()):
+            #    if not i in res_profiles[di]:
+            #        self.nodes[i].observed_res_state_map[di] = "?"
+            #        print("xxx", i, di, res_profiles[di])
+            #    else:
+            #        print("here")
+                self.nodes[i].observed_res_state_map[di] = res_profiles[di][i]
+            
+    def setObservedResProbProfile(self, res_profile):
+        for i in set(res_profile.keys()) & set(self.nodes.keys()):
+            self.nodes[i].observed_res_prob_state = res_profile[i]
+            
+    def setObservedMutProfile(self, mut_profile):
+        for i in set(range(len(mut_profile))) & set(self.nodes.keys()):
+            self.nodes[i].observed_mut_state = mut_profile[i]
+            
+    def setComepleteResProfile(self, res_profile):
+        for i in set(range(len(res_profile))) & set(self.nodes.keys()):
+            self.nodes[i].complete_res_state = res_profile[i]
+            
+    def setComepleteMutProfile(self, mut_profile):
+        for i in set(range(len(mut_profile))) & set(self.nodes.keys()):
+            self.nodes[i].complete_mut_state = mut_profile[i]
+            
+    def setLeavesByNodes(self, leaves):
+        self.leaves = leaves 
+        for leaf in leaves:
+            self.leaf_ids.add(leaf.node_id)
+    def setLeavesByIDs(self, leaf_ids):
+        self.leaf_ids = leaf_ids
+        for leaf_id in leaf_ids:
+            self.leaves.add(self.nodes[leaf_id])
+            
+    def setRoot(self, root):
+        self.root_id = root.node_id
+        self.root = root
+        
+    def addLeafNode(self, node):
+        self.nodes[node.node_id] = node
+        
+    def addInternalNode(self, node):
+        self.nodes[node.node_id] = node
+        self.nodes_count += 1
+        
+    def createNodeID(self, node_name):
+        return self.nodes_count
+    
+    def calcTreeSupport(self, mutation, drug_res_profile, ext=False):
+        root = self.root
+        changes = self.calcRecTreeChanges(root, mutation, drug_res_profile, mutation.ref_state, ext)
+        return changes
+    
+    def calcWeightedSupport(self, mutated):
+        cts = 0.0
+        for leaf_node in self.leaves:
+            if leaf_node.node_id in mutated: cts += leaf_node.contribution
+        return cts
+    
+    def maximalWeightedSupport(self):
+        max_score = 0.0
+        for leave_node in self.leaves:
+            max_score += max(0, leave_node.contribution)
+        return max_score
+    
+    def setContribiutionsRec(self, contr, res_profile, node):
+        if node.node_id in self.leaf_ids and res_profile.full_profile[node.node_id] == "R":
+            node.contribution = contr
+        else:
+            for child_node in node.children:
+                self.setContribiutionsRec(contr, res_profile, child_node)
+                
+    def calcContributionsRec(self, res_profile, node, beta):
+        if node.node_id in self.leaf_ids:
+            rs = res_profile.full_profile[node.node_id]
+            if rs == "R": 
+                return 1
+            elif rs == "S":
+                node.contribution = -beta
+                return None
+            else:
+                node.contribution = 0.0
+                return 0
+        else:
+            all_res = True
+            res_map = {}
+            sum_res = 0
+            for c_node in node.children:
+                res_c = self.calcContributionsRec(res_profile, c_node, beta)
+                if res_c == None:
+                    all_res = False
+                else:
+                    res_map[c_node] = res_c
+                    sum_res += res_c
+            if all_res:
+                return sum_res
+            else:
+                for c_node in res_map:
+                    res_r = res_map[c_node]
+                    if res_r >  0.0:
+                        self.setContribiutionsRec(1.0/float(sum_res), res_profile, c_node)
+                return None                        
+
+    def calcContributions(self, res_profile, beta):
+        self.calcContributionsRec(res_profile, self.root, beta)
+        
+    def calcRecTreeChanges(self, node, mutation, drug_res_profile, state_x, ext=False):
+        if node.node_id in self.leaf_ids:
+            ms = mutation.getState(node.node_id)
+            rs = drug_res_profile.getState(node.node_id)
+            if ms == state_x or ms == "?":
+                return 0
+            else:
+                if rs == "R":
+                    return 1
+                elif rs == "?" and ext:
+                    return 1
+                else:
+                    return 0
+        else:
+            changes = 0
+            for child_node in node.children:
+                min_c = (-1)
+                for state_y in mutation.diff_states:
+                    m_c = self.calcRecTreeChanges(child_node, mutation, drug_res_profile, state_y, ext)
+                    if min_c == -1 or m_c < min_c:
+                        min_c = m_c
+                changes += min_c  
+        return changes;
+    
+    def setResMutation(self, bin_profile, res_profile):
+        res_strains = res_profile.getResistant()
+        for strain_id in self.leaf_ids:
+            tree_node = self.nodes[strain_id]
+            if bin_profile[strain_id] == '0':
+                tree_node.n_zero = 0
+                tree_node.n_one = 1
+            elif bin_profile[strain_id] == '1' and strain_id in res_strains:
+                tree_node.n_zero = 1
+                tree_node.n_one = 0                
+            else:
+                tree_node.n_zero = 0
+                tree_node.n_one = 0
+                
+    def setFullMutation(self, bin_profile, res_profile):
+        for strain_id in self.leaf_ids:
+            tree_node = self.nodes[strain_id]
+            if bin_profile[strain_id] == '0':
+                tree_node.n_zero = 0
+                tree_node.n_one = 1
+            elif bin_profile[strain_id] == '1':
+                tree_node.n_zero = 1
+                tree_node.n_one = 0                
+            else:
+                tree_node.n_zero = 0
+                tree_node.n_one = 0
+                                
+    def calcChanges(self):
+        root = self.nodes[self.root_id]
+        n_zero, n_one = self.calcChangesRec(root)
+        #return min(n_zero, n_one)
+        return min(n_zero,n_one)
+    def getText(self):
+        text = ""
+        for strain_id in range(0, self.nodes_count, 1):
+            text += str(strain_id)+" "+ str(self.nodes[strain_id].n_zero)+" "+ str(self.nodes[strain_id].n_one)
+            text += " children: ";
+            node = self.nodes[strain_id]
+            for child in node.children:
+                text += str(child.node_id)+",";
+            text += "\n"
+        return text
+    
+    def calcChangesRec(self, node):
+        if node.node_id in self.leaf_ids:
+            return node.n_zero, node.n_one
+        else:
+            n_zeros = []
+            n_ones = []
+            for subnode in node.children:
+                #subnode = self.nodes[subnode_id]
+                n_zero, n_one = self.calcChangesRec(subnode)
+                n_zeros.append(n_zero)
+                n_ones.append(n_one)
+            zero_yes = False
+            one_yes = False
+            for i in range(0, len(n_zeros), 1):
+                if n_zeros[i] > n_ones[i]:
+                    zero_yes = True 
+                if n_ones[i] > n_zeros[i]:
+                    one_yes = True
+            if zero_yes:
+                n_zero_res = 1
+            else:
+                n_zero_res = 0
+            if one_yes:
+                n_one_res = 1
+            else:
+                n_one_res = 0
+            for i in range(0, len(n_zeros), 1):
+                n_zero_res += min(n_zeros[i], n_ones[i])
+                n_one_res += min(n_zeros[i], n_ones[i])
+            
+            #print node.node_id, n_zero_res, n_one_res
+            node.n_zero = n_zero_res
+            node.n_one = n_one_res
+            return n_zero_res, n_one_res
+
+    def toString(self, lengths=True, strains = None, int_labels = False, strains_map={}):
+        return self.root.toString(is_root = True, lengths = lengths, strains=strains, int_labels=int_labels, strains_map=strains_map)
+            
+    def __str__(self):
+        txt = "TREE ROOT ID: " + str(self.root_id) + "\n"
+        for i in self.nodes:
+            node_i = self.nodes[i]
+            parent = node_i.parent
+            if parent == None: 
+                txt += str(i) + "\t" + str("ROOT:")+str(node_i.ecolor)+"|"+str("%.5f" % 0.0)+"\t" #+ str(len(node_i.children)) +":"
+            else:
+                txt += str(i) + "\t" + str(parent.node_id) + ":"+str(node_i.ecolor)+"|"+str("%.5f" % node_i.e_len)+"\t" #+ str(len(node_i.children)) +":"
+            for node_j in node_i.children:
+                txt += str(node_j.node_id) + ","
+            txt = txt[:-1] + "\n"
+             
+        return txt
+            
diff --git a/src/drsoft/structs/resistance_profile.py b/src/drsoft/structs/resistance_profile.py
new file mode 100644
index 0000000..27419e3
--- /dev/null
+++ b/src/drsoft/structs/resistance_profile.py
@@ -0,0 +1,62 @@
+class ResistanceProfile:
+    def __init__(self, drug_name, count=None, full_profile=None):
+        self.drug_name = drug_name
+        if full_profile == None:
+            self.count = count
+            self.sc_strains_ids = set([])
+            self.inter_strains_ids = set([])
+            self.res_strains_ids = set([])
+            self.known_strains_ids = set([])
+            self.unknown_strains_ids = set([])
+            self.full_profile = ['?']*count
+            self.mic_full_profile = [0.0]*count
+            self.prob_full_profile = [0.0]*count
+            self.pred_strains = set([])
+        else:
+            self.count = len(full_profile)
+            self.full_profile = full_profile
+            self.computeResSets()
+        
+    def getFullKey(self):
+        full_key = ''.join(self.full_profile)
+        return full_key  
+    
+    def computeResSets(self):
+        self.sc_strains_ids = set([])
+        self.inter_strains_ids = set([])
+        self.res_strains_ids = set([])
+        self.known_strains_ids = set([])
+        self.unknown_strains_ids = set([])
+        for i in range(self.count):
+            state = self.full_profile[i]
+            if state == "R":
+                self.res_strains_ids.add(i)
+                self.known_strains_ids.add(i)
+            elif state == "S":
+                self.sc_strains_ids.add(i)
+                self.known_strains_ids.add(i)
+            elif state == "I":
+                self.inter_strains_ids.add(i)
+                self.known_strains_ids.add(i)
+            else:
+                self.unknown_strains_ids.add(i)
+                
+    def changeProbState(self, strain_index, prob):
+        self.prob_full_profile[strain_index] = prob
+        
+    def changeState(self, strain_index, state):
+        self.full_profile[strain_index] = state
+        
+    def size(self):
+        return self.count
+        
+    def getSusceptible(self):
+        return self.sc_strains_ids       
+    def getResistant(self):
+        return self.res_strains_ids
+    def getInterresistant(self):
+        return self.inter_strains_ids
+    def getUnknown(self):
+        return self.unknown_strains_ids      
+    def getKnown(self):
+        return self.known_strains_ids
diff --git a/src/drsoft/structs/strains.py b/src/drsoft/structs/strains.py
new file mode 100644
index 0000000..0c8d1c1
--- /dev/null
+++ b/src/drsoft/structs/strains.py
@@ -0,0 +1,23 @@
+class Strains:
+    def __init__(self):
+        self.ref_strain = ""
+        self.strain_ids = []
+    def setReferenceStrain(self, strain_id):
+        self.ref_strain = strain_id;
+    def addStrain(self, strain_id, position = 0):
+        if position == 0:
+            self.strain_ids.append(strain_id)
+        else:
+            self.strain_ids.insert(position, strain_id);
+    def getStrain(self, position):
+        return self.strain_ids[position]
+    def getPosition(self, strain_id):
+        return self.strain_ids.index(strain_id)
+    def count(self):
+        return len(self.strain_ids)
+    def changeOrder(self, strain_positions_map):
+        for strain_id in strain_positions_map:
+            pos = strain_positions_map[strain_id]
+            self.strain_ids[pos] = strain_id
+    def allStrains(self):
+        return self.strain_ids
diff --git a/src/drsoft/utils/__init__.py b/src/drsoft/utils/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/drsoft/utils/gwamar_ann_utils.py b/src/drsoft/utils/gwamar_ann_utils.py
new file mode 100644
index 0000000..76b1d2f
--- /dev/null
+++ b/src/drsoft/utils/gwamar_ann_utils.py
@@ -0,0 +1,62 @@
+def readRefAnns(input_fh):
+    ref_anns = {}
+    
+    for line in input_fh.readlines():
+        line = line.strip()
+        if line.startswith("#"):
+            continue
+        tokens = line.split("\t")
+        cluster_id = tokens[0]
+        mg_tokens = tokens[1].split()
+        gene_id = tokens[2]
+        
+        if len(gene_id) <= 1:
+            continue
+        
+        len_tokens = tokens[3].split()
+        end = int(mg_tokens[0])
+        strand = mg_tokens[1]
+        strain_id = mg_tokens[2]
+        
+        length = 0
+        
+        for len_token in len_tokens:
+            if not len_token.startswith("#"):
+                continue
+            len_token = len_token[1:]
+            if len_token.startswith("*"):
+                len_token = len_token[1:]
+            len_token = len_token.split(":")[0]
+            length = int(len_token)
+        ref_anns[gene_id] = (end, length, strand)    
+    return ref_anns
+
+def readClusterGeneIDs(input_fh, gene_ref_ids=False):
+    input_lines = input_fh.readlines()
+    
+    cluster_ids = {}
+    cluster_ids_rev = {}
+    
+    for line in input_lines[1:]:
+        line = line.strip()
+        tokens = line.split("\t")
+        if len(tokens) < 2: continue
+        cluster_id = tokens[0]
+        gene_name = tokens[1]
+        
+        gene_tokens = tokens[2:]
+        gene_ref_id = "x"
+        
+        for i in range(len(gene_tokens)):
+            gene_id = gene_tokens[i]
+            if len(gene_id) > 1: 
+                if gene_ref_ids == False:
+                    if not (cluster_id) in cluster_ids:
+                        cluster_ids[cluster_id] = (gene_name, gene_id)
+                    cluster_ids_rev[gene_id] = cluster_id
+                else:
+                    if len(gene_ref_id) <= 1: gene_ref_id = gene_id
+                    if not gene_ref_id in cluster_ids:
+                        cluster_ids[gene_ref_id] = (gene_name, gene_ref_id)
+                    cluster_ids_rev[gene_id] = gene_ref_id
+    return cluster_ids, cluster_ids_rev
diff --git a/src/drsoft/utils/gwamar_bin_utils.py b/src/drsoft/utils/gwamar_bin_utils.py
new file mode 100644
index 0000000..d13586b
--- /dev/null
+++ b/src/drsoft/utils/gwamar_bin_utils.py
@@ -0,0 +1,316 @@
+import sys
+from drsoft.structs.gene_profile import GeneProfile
+from drsoft.structs.mutation_profile import MutationProfile
+from drsoft.utils.gwamar_muts_io_utils import decompressProfile, simpleGeneName
+from drsoft.utils.gwamar_muts_utils import calcMutStatesMutation
+
+def getMutated(bin_profile):
+    ret = set([])
+    for index in range(len(bin_profile)):
+        if not bin_profile[index] in "0?":
+            ret.add(index)
+    return ret
+    
+def getNotMutated(bin_profile):
+    ret = set([])
+    for index in range(len(bin_profile)):
+        if bin_profile[index] == '0':
+            ret.add(index)
+    return ret
+
+def readBinProfiles(input_fh, n=None, gen_bin_profiles=False, decompress=True):
+    bin_profiles = {}
+    
+    for line in input_fh.readlines():
+        line = line.strip()
+        tokens = line.split("\t")
+        if len(tokens) < 2: continue
+        bin_profile_id = tokens[0]
+        if decompress: gen_bin_profile = decompressProfile(tokens[1], n)
+        else: gen_bin_profile = tokens[1]
+        
+        if gen_bin_profiles == False:
+            bin_profile = ""
+            for i in range(n):
+                if gen_bin_profile[i] == "0": bin_profile += "0" 
+                elif gen_bin_profile[i] == "?": bin_profile +="?"
+                else: bin_profile += "1"
+            bin_profiles[bin_profile_id] = bin_profile
+        else:
+            bin_profiles[bin_profile_id] = gen_bin_profile
+    return bin_profiles
+
+def readBinProfileCounts(input_fh):
+    bin_profiles_count = {}
+    
+    for line in input_fh.readlines():
+        tokens = line.split()
+        if len(tokens) < 2:
+            continue
+        bin_profile_id = tokens[0]
+        bin_profile_count = int(tokens[1])
+        bin_profiles_count[bin_profile_id] = bin_profile_count
+    return bin_profiles_count
+
+def binProfilesDetailsToStr(bin_profile_details_list):
+    res = ""
+    for entry in bin_profile_details_list:
+        res += " ".join(map(str, entry)) + ";"
+    res = res.strip(";")
+
+    return res
+
+def readBinProfileDetailsPoints(lines, n, out_format="txt", ref_counts=False, mut_counts=True):
+    bin_profile_details = {}
+    gene_id = ""
+    cluster_id = ""
+    gene_name = ""
+    for line in lines[1:]:
+        line = line.strip()
+        if line.startswith(">"):
+            line = line[1:]
+            tokens = line.split("\t")
+            gene_id, cluster_id, gene_name = tokens[0], tokens[1], simpleGeneName(tokens[2])
+            continue
+        tokens = line.split("\t")
+        if len(tokens) < 2: continue
+        position = int(tokens[0])
+        m_type = tokens[1]
+        bin_profile_id = tokens[2]
+        ref_state = tokens[3]
+
+        # try:
+        ref_state_txt, mut_states_txt = calcMutStatesMutation(tokens[4], ref_state, n, ref_counts=ref_counts, mut_counts=mut_counts)
+        # except:
+        #     print("error: readBinProfileDetailsPoints", tokens)
+        #     print("line0: ", lines[0])
+        #     print("line1: ", lines[1])
+        #     sys.exit()
+
+        entry = gene_id, cluster_id, gene_name, position, ref_state_txt, mut_states_txt
+
+        if out_format == "txt":
+            if not bin_profile_id in bin_profile_details:
+                bin_profile_details[bin_profile_id] = ""
+            if len(bin_profile_details[bin_profile_id]) > 1: bin_profile_details[bin_profile_id] += ";"
+
+            bin_profile_details[bin_profile_id] += " ".join(map(str, entry))
+        elif out_format == "tuple":
+            if not bin_profile_id in bin_profile_details:
+                bin_profile_details[bin_profile_id] = []
+            bin_profile_details[bin_profile_id].append(entry)
+            
+    return bin_profile_details
+
+def readBinProfileDetailsGenes(lines, n, out_format="txt", ref_counts=False, mut_counts=True):
+    bin_profile_details = {}
+    line0 = lines[0]
+    strains_list = line0.split()
+    
+    gene_id = ""
+    cluster_id = ""
+    gene_name = ""
+
+    for line in lines[1:]:
+        line = line.strip()
+        if line.startswith(">"):
+            line = line[1:]
+            tokens = line.split("\t")
+            gene_id, cluster_id, gene_name = tokens[0], tokens[1], simpleGeneName(tokens[2])
+            continue
+        tokens = line.split("\t")
+        if len(tokens) < 2: continue
+        bin_profile_id = tokens[1]
+        
+        ref_state = tokens[2]
+        ref_state_txt, mut_states_txt = calcMutStatesMutation(tokens[3], ref_state, n, ref_counts=ref_counts, mut_counts=mut_counts)
+        if out_format == "txt":
+            if not bin_profile_id in bin_profile_details:
+                bin_profile_details[bin_profile_id] = ""
+            if len(bin_profile_details[bin_profile_id]) > 1: bin_profile_details[bin_profile_id] += ";"
+
+            bin_profile_details[bin_profile_id] += " ".join([gene_id, cluster_id, gene_name, ref_state_txt, mut_states_txt])
+        elif out_format == "tuple":
+            if not bin_profile_id in bin_profile_details:
+                bin_profile_details[bin_profile_id] = []
+            bin_profile_details[bin_profile_id].append((gene_id, cluster_id, gene_name, 0, ref_state_txt, mut_states_txt))
+
+    return bin_profile_details
+
+def readBinProfileDetails(input_fh, n, mut_type, out_format="txt", ref_counts=False, mut_counts=True):
+    lines = input_fh.readlines()
+    if mut_type == "P": return readBinProfileDetailsPoints(lines, n, out_format=out_format, ref_counts=ref_counts, mut_counts=mut_counts)
+    else: return readBinProfileDetailsGenes(lines, n, out_format=out_format, ref_counts=ref_counts, mut_counts=mut_counts)
+
+def readBinGeneProfilesPoints(lines, only_ref=False):
+    gene_profiles = {}
+    gene_id = ""
+    cluster_id = ""
+    gene_name = ""
+    gene_profile = None
+    for line in lines:
+        if line.startswith(">"):
+            line = line[1:]
+            tokens = line.split()
+            gene_id, cluster_id, gene_name = tokens[0], tokens[1], simpleGeneName(tokens[2])
+            if len(tokens) >= 6: ref_start, ref_end, ref_strand = int(tokens[3]), int(tokens[4]), tokens[5]
+            else: 
+                ref_start, ref_end, ref_strand = -1, -1, "?"
+                if only_ref:
+                    gene_profile = None
+                    continue
+            gene_profile = GeneProfile(cluster_id, gene_id, gene_name, ref_start, ref_end, ref_strand)
+            gene_profile_id = gene_id + "_" + cluster_id
+            gene_profiles[gene_profile_id] = gene_profile
+            continue
+        tokens = line.split()
+        if len(tokens) < 2: continue
+        if gene_profile == None: continue
+        position = int(tokens[0])
+        bin_profile_id = tokens[1]
+        res_states_txt = tokens[2]
+        mut_states_txt = tokens[3]
+        mutation = MutationProfile(position)
+        mutation.bin_profiles = {}
+        mutation.bin_profiles[bin_profile_id] = (res_states_txt, mut_states_txt)
+        gene_profile.mutations[position] = mutation
+        
+    return gene_profiles
+
+def readBinGeneProfilesGenes(lines, only_ref=False):
+    gene_profiles = {}
+    for line in lines:
+        tokens = line.split()
+        if len(tokens) < 2: continue
+        bin_profile_id = tokens[0]
+            
+        if len(tokens) == 6:
+            gene_id = tokens[1]
+            cluster_id = tokens[2]
+            gene_name = simpleGeneName(tokens[3])
+            res_states_txt = tokens[4]
+            mut_states_txt = tokens[5]
+            gene_profile = GeneProfile(cluster_id, gene_id, gene_name)
+            gene_profile.bin_profiles = {}
+            gene_profile.bin_profiles[bin_profile_id] = (res_states_txt, mut_states_txt)
+            gene_profile_id = gene_id + "_" + cluster_id
+            gene_profiles[gene_profile_id] = gene_profile
+        else: continue
+    return gene_profiles
+
+def readBinGeneProfiles(input_fh, only_ref=False):
+    lines = input_fh.readlines()
+    line0 = lines[0]
+    if line0.startswith(">"): return readBinGeneProfilesPoints(lines, only_ref=only_ref)
+    else: return readBinGeneProfilesGenes(lines, only_ref=only_ref)
+
+def readBinProfilesSorted(input_fh, rev_order=-1):
+    bin_profiles = []
+    for line in input_fh.readlines():
+        tokens = line.strip().split("\t")
+        if len(tokens) < 2:
+            continue
+        bin_profile_id = tokens[0]
+        bin_profile_score = float(tokens[1])
+        bin_profiles.append((bin_profile_id, bin_profile_score))
+        
+    bin_profiles_sorted = sorted(bin_profiles, key=lambda id_score:id_score[1]*rev_order)
+    
+    return bin_profiles_sorted
+
+
+def selectResRelBinProfiles(bin_profile_details, drug_rel_muts, cluster_ids, cluster_ids_rev):
+    sel_bin_profiles = {}
+
+    for bin_profile_id in bin_profile_details:
+        for (gene_id, cluster_id, gene_name, position, res_states_txt, mut_states_txt) in bin_profile_details[bin_profile_id]:
+            if not cluster_id in drug_rel_muts and not gene_id in drug_rel_muts:
+                continue
+            ret_ranges = drug_rel_muts.get(cluster_id, drug_rel_muts.get(gene_id, None))
+            if ret_ranges == None:
+                if not bin_profile_id in sel_bin_profiles:
+                    sel_bin_profiles[bin_profile_id] = set([])
+                sel_bin_profiles[bin_profile_id].add((gene_id, cluster_id, gene_name, position, res_states_txt, mut_states_txt))
+            else:
+                for start, end in ret_ranges:
+                    if position >= start and position <= end:
+                        if not bin_profile_id in sel_bin_profiles:
+                            sel_bin_profiles[bin_profile_id] = set([])
+                        sel_bin_profiles[bin_profile_id].add((gene_id, cluster_id, gene_name, position, res_states_txt, mut_states_txt))                        
+    return sel_bin_profiles
+
+def specBinProfiles(gen_bin_profile):
+    n = len(gen_bin_profile)
+    states_count = 0
+    for i in range(n):
+        state = gen_bin_profile[i]
+        if state != "0" and state != "?": 
+            if int(state) > states_count: states_count = int(state)
+    if states_count == 1:
+        return [gen_bin_profile]
+    else:
+        bin_profiles = []
+        for k in range(1, states_count+1, 1):
+            bin_profile = []
+            for i in range(n):
+                state = gen_bin_profile[i]
+                if state == "0" or state == "?": bin_profile.append(state)
+                elif int(state) == k: bin_profile.append("1")
+                else: bin_profile.append("0")
+            bin_profiles.append(bin_profile)
+    return bin_profiles
+
+def countNonZeros(gen_bin_profile):
+    n = len(gen_bin_profile)
+    states_count = 0
+    for i in range(n):
+        state = gen_bin_profile[i]
+        if state != "0" and state != "?": 
+            states_count += 1
+    return states_count
+
+def computeRankings(bin_profiles_sorted, bin_profiles_counts={}):
+    bin_profiles_rankings = {}
+    n = len(bin_profiles_sorted)
+    if n == 0: return None
+
+    #mean_ranks_i = [0]*n
+    min_ranks_i = [0]*n
+    max_ranks_i = [0]*n
+    #mean_ranks_pos = [0]*n
+    min_ranks_pos = [0]*n
+    max_ranks_pos = [0]*n
+    
+    start_i = 0    
+    start_pos = 0
+    end_pos = 0
+    
+    for i in range(n):            
+        bin_profile_id, bin_profile_score = bin_profiles_sorted[i]
+        
+        count = bin_profiles_counts.get(bin_profile_id, 1)
+        
+        if i == n-1 or bin_profile_score != bin_profiles_sorted[i+1][1]:
+            min_rank_i = start_i + 1
+            max_rank_i = i + 1
+
+            min_rank_pos = start_pos + 1
+            max_rank_pos = end_pos + count
+
+            for j in range(start_i, i+1, 1):
+                min_ranks_i[j] = min_rank_i
+                max_ranks_i[j] = max_rank_i
+
+                min_ranks_pos[j] = min_rank_pos
+                max_ranks_pos[j] = max_rank_pos
+
+            start_i = i+1
+            start_pos = end_pos + count
+            end_pos = end_pos + count
+        else:
+            end_pos += count
+            
+    for i in range(n):            
+        bin_profile_id, bin_profile_score = bin_profiles_sorted[i]
+        bin_profiles_rankings[bin_profile_id] = (min_ranks_pos[i], max_ranks_pos[i], min_ranks_i[i], max_ranks_i[i])
+    return bin_profiles_rankings
diff --git a/src/drsoft/utils/gwamar_comp_utils.py b/src/drsoft/utils/gwamar_comp_utils.py
new file mode 100644
index 0000000..e1c8bef
--- /dev/null
+++ b/src/drsoft/utils/gwamar_comp_utils.py
@@ -0,0 +1,143 @@
+def getResSet(dr_profile, inc_q=False, inc_susc=True):
+    res_set = set([])
+    for i in range(len(dr_profile)):
+        if dr_profile[i] in ["R","I"] or (inc_q == True and dr_profile[i] == "?"):
+            res_set.add(i)
+        elif dr_profile[i] == "S" and inc_susc == True:
+            res_set.add(i)
+    return res_set
+ 
+def getSuscSet(dr_profile, inc_q=False):
+    res_set = set([])
+    for i in range(len(dr_profile)):
+        if dr_profile[i] == "S" or (inc_q == True and dr_profile[i] == "?"):
+            res_set.add(i)
+    return res_set
+
+def getBinSetsMap(dr_profile):
+    bin_sets_map = {}
+    for i in range(len(dr_profile)):
+        if dr_profile[i] != "0" and dr_profile[i] != "?":
+            char = dr_profile[i]
+            if not char in bin_sets_map: bin_sets_map[char] = set([])
+            bin_sets_map[char].add(i)
+    return bin_sets_map
+ 
+def getBinSet(dr_profile):
+    bin_set = set([])
+    bin_map = getBinSetsMap(dr_profile)
+    for c in bin_map:
+        bin_set = bin_set | bin_map[c]
+    return bin_set
+
+
+def isMutInRRDR(mut_desc):
+    gene_id, cluster_id, gene_name, position_str, ref_state, mut_states = mut_desc.split()
+    position = int(position_str)
+    if gene_name == "rpoB" and position <= 452 and position >= 426:
+        return True
+    return False
+
+def getRRDRmuts(lines):
+    rdr_muts = []
+    for line in lines[1:]:
+        line = line.strip()
+        tokens = line.split("\t")
+        bin_profile = tokens[0]
+        mut_descs = tokens[-1]
+        mut_set = getBinSet(bin_profile)
+        for mut_desc in mut_descs.split(";"):
+            if isMutInRRDR(mut_desc):
+                rdr_muts.append((mut_desc, bin_profile))
+    return rdr_muts
+
+def getRRDRsets(lines):
+    rrdr_sets = []
+    for line in lines[1:]:
+        line = line.strip()
+        tokens = line.split("\t")
+        bin_profile = tokens[0]
+        mut_descs = tokens[-1]
+        mut_set = getBinSet(bin_profile)
+        for mut_desc in mut_descs.split(";"):
+            if isMutInRRDR(mut_desc):
+                rrdr_sets.append(mut_set)
+    return rrdr_sets
+
+def isSubset(s1, s_list):
+    for s2 in s_list:
+        if s1.issubset(s2):
+            return True
+    return False
+
+def selectPutativeComp(input_fh, drug_name="Rifampicin", inc_prom=False, only_comp=False):
+    lines = input_fh.readlines()
+    line0 = lines[0]
+    dr_profile = line0.strip().split("\t")[0]
+
+    dr_set = getResSet(dr_profile, inc_q=False)
+    dr_set_q = getResSet(dr_profile, inc_q=True)
+
+    if drug_name == "Rifampicin":
+        rdr_muts = getRRDRmuts(lines)
+    else:
+        rdr_muts = [("res_profile", dr_profile)]
+
+    rdr_sets = [getBinSet(rdr_mut_profile) for (rdr_mut_desc, rdr_mut_profile) in rdr_muts]
+
+    gene_muts = {}
+    
+    for line in lines[1:]:
+        line = line.strip()
+        tokens = line.split("\t")
+        bin_profile = tokens[0]
+        mut_descs = tokens[-1]
+     #   print("aaa", mut_descs)
+        mut_set = getBinSet(bin_profile)
+        if len(mut_set & dr_set) == 0:
+            continue
+        # if mut_descs.count("rpoA")>0:
+        #     print(mut_set, rdr_sets)
+        #     print("aaa", mut_descs, len(mut_set), len(rdr_sets))
+        if not isSubset(mut_set, rdr_sets):
+            continue
+
+        for mut_desc in mut_descs.split(";"):
+            gene_id, cluster_id, gene_name, position, ref_state, mut_states = mut_desc.split()
+
+
+            if not gene_name in gene_muts:
+                gene_muts[gene_name] = []
+            if inc_prom == False and int(position) < 0:
+                continue
+            if (only_comp == False) or not isMutInRRDR(mut_desc):
+                gene_muts[gene_name].append((mut_desc, bin_profile))
+
+    return gene_muts, rdr_muts, dr_profile
+
+
+def saveRelGraph(rel_graph, output_fn, subnodes=None):
+    tls = []
+    tls.append("digraph G {\n");
+
+    if subnodes == None:
+        outnodes = rel_graph.nodes.values()
+    else:
+        outnodes = subnodes
+
+    for node in outnodes:
+        tls.append("\t" + node.node_id +' [label="'+node.label+'",color='+node.ncolor+'];' + "\n")
+    
+    for snode in outnodes:
+        for edge in snode.edges:
+            tnode = edge.tnode
+            if not tnode in outnodes:
+                continue
+            tls.append('\t' + snode.node_id + "->" + tnode.node_id + ' [label="' + edge.label + '",color=' + edge.ecolor + '];\n')
+    tls.append("}\n")
+
+    output_fh = open(output_fn, "w")
+    for tl in tls:
+        output_fh.write(tl);
+    output_fh.close()
+    return None
diff --git a/src/drsoft/utils/gwamar_generator_utils.py b/src/drsoft/utils/gwamar_generator_utils.py
new file mode 100644
index 0000000..ee4c7c5
--- /dev/null
+++ b/src/drsoft/utils/gwamar_generator_utils.py
@@ -0,0 +1,100 @@
+#include <stdio.h>
+import copy
+import itertools as it
+import timeit
+import traceback
+
+def generateResistanceProfiles(k):
+    return list(it.product("SR", repeat=k))
+
+
+def generateBinMutationProfiles(k):
+    return list(it.product("01", repeat=k))
+
+def generateResBinMutationProfiles(k):
+    return list(it.product(["0S","0R","1S","1R"], repeat=k))
+
+def f(n, s, m, ub=None):
+    if n == 0:
+        pass
+    elif n == 1:
+        if ub == None:
+            if s <= m:
+                yield (s,)
+        else:
+            if s <= m and s<=ub[0]:
+                yield (s,)
+    else:
+        if ub == None:
+            for i in range(min(s + 1, m + 1)):
+                for j in f(n - 1,s - i, m):     
+                    yield (i,) + j
+        else:
+            for i in range(min(s, m, ub[0]) + 1):
+                for j in f(n - 1, s - i, m, ub[1:]):     
+                    yield (i,) + j
+
+def g(n, s, lb=None, ub=None):
+    if n == 0:
+        pass
+    elif n == 1:
+        if lb == None and ub == None: yield (s,)
+        elif lb == None:
+            if s <= ub[0]: yield (s,)
+        elif ub == None:
+            if s >= lb[0]: yield (s,)
+        else:
+            if s >= lb[0] and s<=ub[0]: yield (s,)
+    else:
+        if lb == None and ub == None:
+            for i in range(s+1):
+                for j in g(n-1, s-i):     
+                    yield (i,) + j
+        elif lb == None:
+            for i in range(min(s, ub[0]) + 1):
+                for j in g(n-1, s-i, ub=ub[1:]):     
+                    yield (i,) + j
+        elif ub == None:
+            for i in range(lb[0], s+1, 1):
+                for j in g(n-1, s-i, lb=lb[1:]):     
+                    yield (i,) + j
+        else:
+            for i in range(lb[0], min(s,ub[0])+1, 1):
+                for j in g(n-1, s-i, lb[1:], ub[1:]):     
+                    yield (i,) + j
+
+
+
+def generateSumProfiles(k, s, m, ub=None):
+    try:
+        return list(f(k, s, m, ub))
+    except:
+        print("generateSumProfiles error:", k, s, m, ub, ub[::-1])
+        return []
+
+
+def generateSumProfiles2(k, s, lb=None, ub=None):
+  #  print("generateSumProfiles2")
+    try:
+        return list(g(k, s, lb, ub))
+    except: 
+        traceback.print_exc()
+        print("generateSumProfiles2 error: ", k, s, lb, ub, ub[::-1])
+        return []
+
+# import __builtin__
+# __builtin__.__dict__.update(locals())
+
+# print(generateResBinMutationProfiles(3))
+# print(generateResBinMutationProfiles2(3))
+
+#t = timeit.timeit('"-".join(map(str, range(100)))', number=100)
+#print(t)
+# k=2
+# t1 = timeit.timeit('generateResBinMutationProfiles(6)', number=k)#
+# print(t1)
+# t2 = timeit.timeit('generateResBinMutationProfiles2(6)', number=k)#
+# print(t2)
+
+# res  = generateSumProfiles2(4,10,[0,0,0,0], [3,3,2,3])
+# print(res)
diff --git a/src/drsoft/utils/gwamar_grouping_utils.py b/src/drsoft/utils/gwamar_grouping_utils.py
new file mode 100644
index 0000000..19a8cef
--- /dev/null
+++ b/src/drsoft/utils/gwamar_grouping_utils.py
@@ -0,0 +1,8 @@
+def maxGroup(l):
+	ret = 0.0
+	w = 0
+	for a in l:
+		if w > 0: w += a
+		else: w = a
+		if (w > ret): ret = w
+	return ret
diff --git a/src/drsoft/utils/gwamar_muts_io_utils.py b/src/drsoft/utils/gwamar_muts_io_utils.py
new file mode 100644
index 0000000..60a08ec
--- /dev/null
+++ b/src/drsoft/utils/gwamar_muts_io_utils.py
@@ -0,0 +1,302 @@
+from drsoft.utils.gwamar_muts_utils import compressProfile, decompressProfile,convertFullProfile
+from drsoft.structs.gene_profile import GeneProfile
+from drsoft.structs.mutation_profile import MutationProfile
+from drsoft.utils.gwamar_strains_io_utils import strainAureusNames,\
+    strainsMapRev
+
+def writeMutationsHeader(output_fh, strains_subset = None, only_strains = False, sep="\t"):
+    if not only_strains: header_line = "cc_id" + "\t" + "aln_fn_id" + "\t" + "ann_id" + "\t" + "MT" + "\t" + "positions" + "\t" + "ref_positions"
+    else: header_line = ""
+    if strains_subset == None: return None
+    for strain_id in strains_subset:      
+        header_line += strain_id + sep
+    header_line = header_line[:-1] + "\n" 
+    output_fh.write(header_line);
+
+def savePointMutations(output_fh, mutations_map, gene_names, gene_anns, ref_states, strains_list, cluster_gene_ref_ids={}, cluster_gene_names = {}, compress = True):
+    tls = []
+    
+    for gene_id in sorted(mutations_map):
+        gene_name = gene_names[gene_id]
+        tl = ">" + gene_id + "\t" + gene_id + '\t' + gene_name
+        if gene_id in gene_anns:
+            (end, length, strand) = gene_anns[gene_id]
+            if strand == "+": start = end - length + 1
+            else: start = start = end + length - 1
+            tl += "\t" + str(start) + "\t" + str(end) + "\t" + strand + "\n"
+        else: tl += "\n"
+            
+        for position in sorted(mutations_map[gene_id]):
+            ref_state = ref_states[(gene_id, position)]
+            if len(gene_id) <= 1: gene_id = "x" 
+            
+            if position <= 0: mut_t = "p"
+            else:
+                mut_t = "s"
+                for strain_id in mutations_map[gene_id][position]:
+                    new_state, mut_type = mutations_map[gene_id][position][strain_id]
+                    if mut_type in ["N", "CN"]:
+                        mut_t = "n"
+                        break        
+                if mut_t == "s":
+                    continue
+                
+            full_profile = ""
+            for strain_index in range(len(strains_list)):
+                strain_id = strains_list[strain_index]
+                if strain_id in mutations_map[gene_id][position]:
+                    new_state, mut_type = mutations_map[gene_id][position][strain_id]
+                    full_profile += new_state
+                else:
+                    full_profile += ref_state
+  
+            if compress: desc_tl = compressProfile(full_profile)
+            else: desc_tl = full_profile
+
+            #print("here:", desc_tl)
+            if desc_tl.endswith(" "): continue
+
+            tl += str(position) + "\t"
+            tl += str(mut_t) + "\t"
+            tl += desc_tl.strip() + "\n"
+        tls.append((gene_id, tl))
+
+    writeMutationsHeader(output_fh, strains_list, only_strains = True, sep=" ")
+    for (gene_id, tl) in sorted(tls):
+        output_fh.write(tl)
+    return None
+
+def readGoldAssociations(input_fh, cluster_ids_rev={}, drug_names=None, genes_level=False):
+    gold_assocs = {}
+    drug_name = ""
+    gene_id = ""
+
+    lines = input_fh.readlines()
+    for line in lines:
+        line = line.strip()
+        line = line.split("#")[0].strip()
+        if len(line) == 0:
+            continue
+        tokens = line.split()
+        if len(tokens) == 6:
+            drug_name,gene_name,gene_id,position,ref_state,mut_state = tokens
+            position = int(position)
+            if not drug_name in gold_assocs:
+                gold_assocs[drug_name] = {}
+            if not gene_id in gold_assocs[drug_name]:
+                if genes_level == False:
+                    gold_assocs[drug_name][gene_id] = {}
+                else:
+                    gold_assocs[drug_name][gene_id] = None
+            if genes_level == True:
+                continue
+            if not position in gold_assocs[drug_name][gene_id]:
+                gold_assocs[drug_name][gene_id][position] = []
+            gold_assocs[drug_name][gene_id][position].append((ref_state, mut_state))
+
+        elif line.startswith("%"):
+            drug_name = line[1:]
+            gold_assocs[drug_name] = {}
+        elif line.startswith(">"):
+            tmpline = line[1:]
+            tmptokens = tmpline.split()
+            if len(tmptokens) == 1:
+                gene_id = tmptokens[0]
+            else:
+                gene_id = tmptokens[1]
+            if genes_level == False:
+                gold_assocs[drug_name][gene_id] = {}
+            else:
+                gold_assocs[drug_name][gene_id] = None
+        else:
+            if genes_level == True:
+                continue
+            tokens = line.split()
+            if len(tokens) < 3:
+                continue
+            position = int(tokens[0].split("|")[0])
+            ref_state = tokens[1]
+            mut_states = tokens[2].split(",")
+            for mut_state in mut_states:
+                if not position in gold_assocs[drug_name][gene_id]:
+                    gold_assocs[drug_name][gene_id][position] = []
+                gold_assocs[drug_name][gene_id][position].append((ref_state, mut_state))
+
+    if drug_names != None:
+        gold_assocs_sel = {}
+        for drug_name in gold_assocs:
+            if not drug_name in drug_names:
+                continue
+            gold_assocs_sel[drug_name] = gold_assocs[drug_name]
+        return gold_assocs_sel
+    return gold_assocs
+
+def loadDrugResRels(input_fh, cluster_ids_rev={}, genes_level=False):
+    drug_targets = {}
+    lines= input_fh.readlines();
+    for line in lines:
+        line = line.strip()
+
+        tokens_hash = line.split("#")
+        if len(tokens_hash) > 1: line = tokens_hash[0]
+        tokens = line.split()
+        
+        if len(tokens) < 5: continue
+        
+        drug_name = tokens[0]
+        if not drug_name in drug_targets:
+            drug_targets[drug_name] = {}
+
+        gene_id = tokens[2]
+        cluster_id =  cluster_ids_rev.get(gene_id, gene_id)
+
+        if genes_level == False:
+            position = int(tokens[3])
+            ref_states = tokens[4]
+            mut_states = tokens[5]
+            if not cluster_id in drug_targets[drug_name]:
+                drug_targets[drug_name][cluster_id] = {}
+            if not position in drug_targets[drug_name][cluster_id]:
+                drug_targets[drug_name][cluster_id][position] = set([])
+            drug_targets[drug_name][cluster_id][position].add((ref_states, mut_states))
+        else:
+            if not cluster_id in drug_targets[drug_name]:
+                drug_targets[drug_name][cluster_id] = None
+
+    return drug_targets
+
+def readPointMutations(input_fh, cluster_ids={}, cluster_ids_rev={}, gene_subset=None, strains_list=None, m_type="a"):
+    gene_profiles = {}
+    
+    lines = input_fh.readlines()
+    line0 = lines[0].strip()
+    strain_ids_tmp = line0.split()
+    strain_ids = []
+    for strain_id_tmp in strain_ids_tmp:
+        strain_ids.append(strainAureusNames(strain_id_tmp))
+    n = len(strain_ids)
+
+    if strains_list == None:
+        strains_map_rev = None
+    else:
+        strains_map_rev = strainsMapRev(strains_list)
+
+    gene_profile = None
+    
+    for line in lines[1:]:
+        line = line.strip()
+        m_pos_details = True
+        if line.startswith(">"):
+            line = line[1:]
+            m_pos_details = False
+
+        tokens = line.split("\t")
+        if len(tokens) == 0: continue
+        elif len(tokens) == 1: sequence = tokens[0]
+        elif m_pos_details and len(tokens) == 3:    
+            m_position = int(tokens[0])
+            
+            m_type = tokens[1]
+            m_desc = tokens[2]
+            if gene_profile == None: continue
+            try:
+                full_profile_tmp = decompressProfile(m_desc, n)
+            except:
+                print(m_desc)
+                exit()
+            full_profile = convertFullProfile(full_profile_tmp, strain_ids, strains_map_rev)
+            mutation = MutationProfile(m_position, m_type, full_profile)
+            mutation.gene_profile = gene_profile
+            gene_profile.mutations[m_position] = mutation
+        elif  m_pos_details and len(tokens) == 5: 
+            m_position = int(tokens[0])
+            m_type = tokens[1]
+            m_bin_profile_id = tokens[2]
+            ref_state = tokens[3]
+            m_desc = tokens[4]
+            
+            if gene_profile == None: continue
+            try:
+                full_profile_tmp = decompressProfile(m_desc, n)
+            except:
+                print("x", n, m_desc)
+                exit()
+            full_profile = convertFullProfile(full_profile_tmp, strain_ids, strains_map_rev)
+            mutation = MutationProfile(m_position, m_type, full_profile)
+            mutation.ref_state = ref_state
+            mutation.gene_profile = gene_profile
+            mutation.bin_profiles = {}
+            mutation.bin_profiles[m_bin_profile_id] = ""
+            gene_profile.mutations[m_position] = mutation
+        else:
+            gene_id = tokens[0]
+            cluster_id = tokens[1]
+            gene_name = simpleGeneName(tokens[2])
+            gene_profile_id = gene_id + "_" + cluster_id
+            
+            if gene_profile_id in gene_profiles: 
+                gene_profile = gene_profiles.get(gene_profile_id)
+                continue
+
+            if len(tokens) >= 6:
+                ref_start = int(tokens[3])
+                ref_end = int(tokens[4])
+                ref_strand = tokens[5]
+            else:
+                ref_start,ref_end,ref_strand = -1,-1,"?"
+                
+            gene_profile = GeneProfile(cluster_id, gene_id, gene_name, ref_start, ref_end, ref_strand)
+            gene_profiles[gene_profile_id] = gene_profile
+
+    return gene_profiles
+
+def readGeneGainLossProfiles(input_fh, cluster_ids={}, cluster_ids_rev={}, gene_subset=None, strains_list=None, m_type="a"):
+    gene_profiles = {}
+    
+    line0 = input_fh.readline().strip()
+    strain_ids_tmp = line0.split()
+    strain_ids = []
+    for strain_id_tmp in strain_ids_tmp:
+        strain_ids.append(strainAureusNames(strain_id_tmp))
+        
+    n = len(strain_ids)
+
+    if strains_list == None:
+        strains_map_rev = None
+    else:
+        strains_map_rev = strainsMapRev(strains_list)
+
+    gene_profile = None
+    
+    for line in input_fh.readlines():
+        line = line.strip()
+
+        tokens = line.split("\t")
+        if len(tokens) == 0: continue
+        elif len(tokens) == 1: sequence = tokens[0]
+        else:
+            gene_id = tokens[0]
+            cluster_id = tokens[1]
+            gene_name = simpleGeneName(tokens[2])
+            m_desc = tokens[-1]
+            
+            gene_profile_id = gene_id + "_" + cluster_id
+                        
+            try:
+                full_profile_tmp = decompressProfile(m_desc, n)
+            except:
+                print(m_desc)
+                exit()
+
+            ref_start,ref_end,ref_strand = -1,-1,"?"
+
+            full_profile = convertFullProfile(full_profile_tmp, strain_ids, strains_map_rev)                
+            gene_profile = GeneProfile(cluster_id, gene_id, gene_name, ref_start, ref_end, ref_strand, full_profile=full_profile)
+            gene_profiles[gene_profile_id] = gene_profile
+
+    return gene_profiles
+
+def simpleGeneName(gene_name):
+    gene_name = gene_name.replace("/", "_")
+    gene_name = gene_name.replace("'", "")
+    return gene_name
diff --git a/src/drsoft/utils/gwamar_muts_utils.py b/src/drsoft/utils/gwamar_muts_utils.py
new file mode 100644
index 0000000..263b990
--- /dev/null
+++ b/src/drsoft/utils/gwamar_muts_utils.py
@@ -0,0 +1,289 @@
+import timeit
+import re
+
+def profileSubset(full_profile, subset):
+    subset_profile = []
+    for i in sorted(subset):
+        subset_profile.append(full_profile[i])
+    return subset_profile
+
+def convertFullProfile(full_profile_tmp, strain_ids, strains_map_rev):
+    if strains_map_rev == None or strain_ids == None:
+        return full_profile_tmp
+
+    n = len(full_profile_tmp)
+    m = len(strains_map_rev)
+
+    full_profile = [""]*m
+
+    for i in range(n):
+        val = full_profile_tmp[i]
+        strain_name = strain_ids[i]
+        if strain_name in strains_map_rev:
+            j = strains_map_rev[strain_name]
+            full_profile[j] = val
+        else: continue
+
+    return full_profile
+
+def decompressProfile(m_desc, n, strain_index_map=None):
+    if m_desc.count(" ") > 0:    
+        sel_state, desc = m_desc.split() 
+        full_profile = [sel_state]*n
+        desc_tokens = desc.split(";")
+        for desc_token in desc_tokens:
+            curr_state, strains_desc = desc_token.split(":")
+            strains_tokens = strains_desc.split(",")
+            for strain_token in strains_tokens:
+                strain_token_dets = strain_token.split("_")
+                if len(strain_token_dets) == 1:
+                    strain_index = int(strain_token_dets[0])
+                    if strain_index_map == None:
+                        full_profile[strain_index] = curr_state
+                    else:
+                        full_profile[strain_index_map[strain_index]] = curr_state
+                elif len(strain_token_dets) == 2:
+                    for strain_index in range(int(strain_token_dets[0]), int(strain_token_dets[1])+1, 1):
+                        if strain_index_map == None:
+                            full_profile[strain_index] = curr_state
+                        else:
+                            full_profile[strain_index_map[strain_index]] = curr_state
+                else:
+                    print("error", strain_token_dets)
+    else:
+        full_profile = []
+        for i in range(n): full_profile.append(m_desc[i])
+    return full_profile
+
+def compressProfile(full_profile):
+    n = len(full_profile)
+            
+    state_strains = {}
+    for strain_index in range(n):
+        state = full_profile[strain_index]
+        if not state in state_strains:
+            state_strains[state] = []
+        state_strains[state].append(strain_index)
+
+    sel_state = sorted(state_strains, key=lambda state:-len(state_strains[state]))[0]
+
+    comp_profile = sel_state + " "
+    
+    for state in state_strains:
+        if state == sel_state: continue
+        comp_profile += state + ":"
+        
+        k = len(state_strains[state])
+        i = 0
+        while i < k:
+            strain_index = state_strains[state][i]
+            comp_profile += str(strain_index)
+            j = 1
+            while i+j<k and state_strains[state][i+j] == strain_index+j:
+                j = j + 1
+            i = i + j
+            
+            if j == 1: comp_profile += ","
+            elif j == 2: comp_profile += "," + str(state_strains[state][i-1]) + ","
+            else: comp_profile += "_" + str(state_strains[state][i-1]) + ","
+                       
+        if comp_profile.endswith(","): comp_profile = comp_profile[:-1] + ";"
+
+    if comp_profile.endswith(";"): comp_profile = comp_profile[:-1]
+    return comp_profile
+
+def subsets(my_set):
+    result = [[]]
+    for x in my_set:
+        result = result + [y + [x] for y in result]
+    return result
+
+def calcMutStatesMutation(m_profile, ref_state, n, non_mut_states="?-", ref_counts=False, mut_counts=True):
+    state_pos = {}
+    state_counts = {}
+    mut_states = []
+    if m_profile[1] == " ":
+        tokens = m_profile.split()
+
+        total_count = 0
+
+        sel_state = tokens[0]
+        sel_positions = set(range(n+1))
+        tokens2 = tokens[1].split(";")
+
+        for state_token in tokens2:
+            state, pos_tokens_tmp = state_token.split(":")
+            pos_tokens = pos_tokens_tmp.split(",")
+            pos_count = 0
+            for pos_token in pos_tokens:
+                if pos_token.count("_") == 1:
+                    pos_from, pos_to = map(int, pos_token.split("_"))
+                    pos_count += pos_to - pos_from + 1
+                    state_pos[state] = pos_to
+                    sel_positions -= set(range(pos_from, pos_to+1, 1))
+                else:
+                    pos = int(pos_token)
+                    pos_count += 1
+                    state_pos[state] = pos
+                    sel_positions.remove(pos)
+
+            state_counts[state] = pos_count
+            total_count += pos_count
+        state_counts[sel_state] = n - total_count
+        state_pos[sel_state] = min(sel_positions)
+
+    else:
+        for i in range(n):
+            state = m_profile[i]
+            if not state in state_counts:
+                state_counts[state] = 0
+            state_counts[state] += 1
+
+            if not state in state_pos:
+                state_pos[state] = i
+    mut_states_sorted = sorted(state_pos, key=lambda state: state_pos[state])
+    mut_states_txt_list = []
+
+
+    for state in mut_states_sorted:
+        if state == ref_state: continue
+        if state in non_mut_states: continue
+        if state_counts[state] != 1 and mut_counts:
+            mut_states_txt_list.append(state + ":" + str(state_counts[state]))
+        else:
+            mut_states_txt_list.append(state)
+    mut_states_txt = ",".join(mut_states_txt_list)
+
+    #print(state_counts[ref_state], ref_counts)
+    if state_counts[ref_state] != 1 and ref_counts:
+        ref_state_txt = ref_state + ":" + str(state_counts[ref_state])
+    else:
+        ref_state_txt = ref_state
+
+    return ref_state_txt, mut_states_txt
+
+# import __builtin__
+# __builtin__.__dict__.update(locals())
+
+def calcRefStateMutation(full_profile, strain_subset=None):
+    non_ref_states = ["?","*",'-']
+    state_counts = {};
+    n = len(full_profile)
+    if strain_subset == None: strain_subset = range(n)
+    for strain_index in strain_subset:
+        state = full_profile[strain_index]
+        if state in non_ref_states:
+            continue
+        if not state in state_counts:
+            state_counts[state] = 0
+        state_counts[state] += 1;
+    
+    if len(state_counts)== 0:
+        strain_subset = range(n)
+        for strain_index in strain_subset:
+            state = full_profile[strain_index]
+            if state in non_ref_states:
+                continue
+            if not state in state_counts:
+                state_counts[state] = 0
+            state_counts[state] += 1;
+            
+    if len(state_counts)== 0:
+        return None
+        
+    state_counts_sorted = sorted(state_counts, key=lambda state: -state_counts[state])
+    max_state = state_counts_sorted[0]
+    
+    return max_state
+
+def calcBinProfileMutation(full_profile, ref_state, gen_bin_profile=False):
+    n = len(full_profile)
+    bin_profile_list = []
+    if not gen_bin_profile:
+        for i in range(n):
+            state = full_profile[i]
+            if state == "?": bin_profile_list.append("?")
+            elif state == ref_state or state == '-': bin_profile_list.append("0")
+            else: bin_profile_list.append("1")
+    else:
+        current_k = 1
+        k_map = {}
+        for i in range(n):
+            state = full_profile[i]
+            if state == "?": bin_profile_list.append("?")
+            elif state == ref_state or state == '-': bin_profile_list.append("0")
+            elif state in k_map: bin_profile_list.append(str(k_map[state]))
+            else:
+                k_map[state] = current_k
+                bin_profile_list.append(str(current_k))
+                current_k += 1
+                
+    return bin_profile_list
+
+def getRefMutStates(full_profile, bin_profile):
+    ref_states = set([])
+    mut_states = set([])
+    n = len(full_profile)
+    for i in range(n):
+        bin_state = bin_profile[i]
+        state = full_profile[i]
+        if state == "?": continue
+        if bin_state == '1': mut_states.add(state)
+        elif bin_state == '0': ref_states.add(state)
+    return ref_states, mut_states
+    
+def calcRefPosition(position, start, end, strand):
+    left_bound = min(start, end)
+    right_bound = max(start, end)
+    if strand == "+":
+        if position <= 0: ref_position = left_bound + position
+        else: ref_position = left_bound + (position-1)*3 + 1
+    else:
+        if position <= 0: ref_position = right_bound - position + 1
+        else: ref_position = right_bound - (position-1)*3 - 1 
+    
+    return ref_position
+
+def reverseBinProfileIDs(gene_profiles, muts=True):
+    bin_profile_ids = {}
+    for gene_profile in gene_profiles.values():
+        for mutation in gene_profile.mutations.values():
+            for bin_profile_id in mutation.bin_profiles:
+                if not bin_profile_id in bin_profile_ids:
+                    bin_profile_ids[bin_profile_id] = set([])
+                bin_profile_ids[bin_profile_id].add(mutation)
+    return bin_profile_ids
+
+def mutsDescToLatex(mut_states_txt, rem_star=True):
+    pat = "\w:\d+|\*:\d+|\w"
+    matches = re.findall(pat, mut_states_txt)
+
+    lm = {}
+    res = ""
+    for m in matches:
+        tokens = m.split(":")
+        if len(tokens) == 1: k = 1
+        else: k = int(tokens[1])
+        letter = tokens[0]
+        if letter == "*" and rem_star:
+            continue
+        lm[letter] = "\\textsubscript{"+str(k)+"}"
+
+    for letter in sorted(lm):
+        res += letter+lm[letter]
+    return res
+
+def mutsDescToMathLatex(mut_states_txt, rem_star=True):
+    pat = "\w:\d+|\*:\d+|\w"
+    matches = re.findall(pat, mut_states_txt)
+
+    res = ""
+    for m in matches:
+        tokens = m.split(":")
+        if len(tokens) == 1: k = 1
+        else: k = int(tokens[1])
+        letter = tokens[0]
+        if letter == "*" and rem_star:
+            continue
+        res += letter+"$_{"+str(k)+"}$"
+    return res
diff --git a/src/drsoft/utils/gwamar_params_utils.py b/src/drsoft/utils/gwamar_params_utils.py
new file mode 100644
index 0000000..1daf302
--- /dev/null
+++ b/src/drsoft/utils/gwamar_params_utils.py
@@ -0,0 +1,110 @@
+import sys
+import os
+import platform
+
+#sys.path.append("../../")
+
+parameters_map = {}
+
+key_map = {"ACTION":"A", "a": "A",
+           "WORKERS": "W", "W": "W", "w": "W",
+           "DATASET": "D", "d": "D",
+           "s":"SCORES", "S":"SCORES", "scores":"SCORES",
+           "cs":"CSCORES", "CS": "CSCORES", "cscores": "CSCORES",
+           "EXP_PREFIX": "EP", "e": "EP",
+           "PERM_REP": "PR", "pr": "PR",
+           "reps": "REPS",
+           "MT": "MT", "mt": "MT",
+           "OVERWRITE": "OW", "overwrite": "OW",
+           "EXP_DIR":"ED", "ed": "ED",
+           "SHOW_PROFILES": "SP", "sp":"SP",
+           "subsets": "SUBSETS",
+           "stats": "STATS"
+           }
+
+def shortKey(key_tmp):
+    key = key_map.get(key_tmp, key_tmp)
+    return key
+
+def readParametersFromFile(input_fn, parameters_map):
+    input_fh = open(input_fn);
+    lines = input_fh.readlines()
+    input_fh.close()
+    for line in lines:
+        line = line.strip().split("#")[0].strip()
+        tokens = line.split(":")
+        if len(tokens) < 2:
+            continue
+        key_tmp = tokens[0]
+        key = shortKey(key_tmp)
+
+        if key == "GWAMAR_PATH":
+            pass
+        else:
+            value = ""
+            for token in tokens[1:]:
+                value += parameters_map.get(token, token)
+            
+            if not key in parameters_map:
+                parameters_map[key] = value
+
+    return parameters_map;
+
+def getGWAMARPath(run_path, cmd_path):
+    full_path = os.path.abspath(os.path.join(run_path, cmd_path))
+    gwamar_path = os.path.dirname(full_path)
+
+    last_dir = os.path.split(gwamar_path)
+    while len(gwamar_path) > 1:
+        path_tokens = os.path.split(gwamar_path)
+        if path_tokens[1] == "gwamar":
+            return gwamar_path + "/"
+        gwamar_path = path_tokens[0]
+
+    return gwamar_path;
+
+def overwriteParameters(sys_argv):
+    global parameters_map;
+    
+    run_path = os.path.abspath(os.curdir)
+    cmd_path = sys_argv[0]
+    gwamar_path = getGWAMARPath(run_path, cmd_path)
+    os.chdir(gwamar_path)
+
+    sys.path += ["src/"]
+    
+    parameters_map["GWAMAR_PATH"] = gwamar_path
+
+    n = len(sys_argv)
+    i = 1
+    while i < n:
+        arg = sys_argv[i]
+        if arg.startswith("-"):
+            if arg.count("=") == 1:
+                key_tmp, value = arg[1:].split("=")
+                i += 1
+            else:
+                key_tmp = arg[1:]
+                if i < n-1: value = sys_argv[i+1]
+                else: value = ""
+                i += 2
+        elif arg.count("=") == 1:
+            key_tmp, value = arg.split("=")
+            i += 1
+        else:
+            value = ""
+            i += 1
+        
+        key = shortKey(key_tmp)
+        parameters_map[key] = value
+        
+    return parameters_map
+
+
+def readParameters():
+    global parameters_map;
+    config_dir = parameters_map["GWAMAR_PATH"] + "/config/";
+
+    parameters_map = readParametersFromFile(config_dir+"config_params.txt", parameters_map)
+    return parameters_map
+
diff --git a/src/drsoft/utils/gwamar_progress_utils.py b/src/drsoft/utils/gwamar_progress_utils.py
new file mode 100644
index 0000000..4f5487d
--- /dev/null
+++ b/src/drsoft/utils/gwamar_progress_utils.py
@@ -0,0 +1,45 @@
+from threading import Semaphore
+import sys
+
+def shift(text_id, exp_len):
+    ret = text_id
+    diff = exp_len - len(text_id)
+    i = 0
+    while i < diff:
+        ret += " "
+        i+=1
+    return ret;
+
+def msg(txt):
+    sys.stdout.write(txt)
+    sys.stdout.flush()
+
+class GWAMARProgress:
+    def __init__(self, text):
+        self.number= 0
+        self.sem = Semaphore()
+        self.done = 0
+        self.last_done = 0
+        self.dots_put = 0
+        self.text = text
+        sys.stdout.write(text  + ": 0% [wait...]"+ "\r")
+        sys.stdout.flush()
+    def setJobsCount(self, number):
+        self.number = number
+    def update(self, desc = ""):
+        self.sem.acquire()
+        self.done += 1
+        dots_number = int(round(float(self.done*100)/float(self.number)))
+        new_dots_number = dots_number - self.dots_put
+        #print(self.done, self.number, dots_number, new_dots_number)
+        if new_dots_number > 0 or self.done == 1:
+            if desc != "":
+                msg(shift(self.text + ": "+str(dots_number) + "% " + "["+desc+"]", 79)+"\r")
+            else:
+                msg(shift(self.text + ": "+str(dots_number) + "% ", 79)+"\r")
+            self.last_done = self.done
+            self.dots_put = dots_number
+        if self.done >= self.number:
+            print("")
+            print(shift(self.text + ": 100% " + "[DONE]", 79))
+        self.sem.release()
diff --git a/src/drsoft/utils/gwamar_pws.py b/src/drsoft/utils/gwamar_pws.py
new file mode 100644
index 0000000..5f6ef52
--- /dev/null
+++ b/src/drsoft/utils/gwamar_pws.py
@@ -0,0 +1,79 @@
+import math
+import sys
+import time
+
+from drsoft.utils.gwamar_generator_utils import *
+from drsoft.utils.gwamar_stat_utils import *
+
+start_time = time.time()
+
+def g(n, s, lb=None, ub=None):
+    if n == 0:
+        pass
+    elif n == 1:
+        if lb == None and ub == None: yield (s,)
+        elif lb == None:
+            if s <= ub[0]: yield (s,)
+        elif ub == None:
+            if s >= lb[0]: yield (s,)
+        else:
+            if s >= lb[0] and s<=ub[0]: yield (s,)
+    else:
+        if lb == None and ub == None:
+            for i in range(s+1):
+                for j in g(n-1, s-i):     
+                    yield (i,) + j
+        elif lb == None:
+            for i in range(min(s, ub[0]) + 1):
+                for j in g(n-1, s-i, ub=ub[1:]):     
+                    yield (i,) + j
+        elif ub == None:
+            for i in range(lb[0], s+1, 1):
+                for j in g(n-1, s-i, lb=lb[1:]):     
+                    yield (i,) + j
+        else:
+            for i in range(lb[0], min(s,ub[0])+1, 1):
+                for j in g(n-1, s-i, lb[1:], ub[1:]):     
+                    yield (i,) + j
+
+def generateCombs(k, s, lb=None, ub=None):
+    try:
+        return list(g(k, s, lb, ub))
+    except:
+        print("error", k, s, lb, ub, ub[::-1])
+        return []
+
+def wsupportTestMap(w_map, debug=False):
+    cf = 2
+    ret = {}
+
+    w_map_new = {}
+
+    for w in w_map:
+        nw = round(w*cf) / cf
+        if w > 0 and nw == 0.0: nw = 1.0/cf
+        if not nw in w_map_new:
+            w_map_new[nw] = 0
+        w_map_new[nw] += w_map[w]
+
+    counts = list(w_map_new.values())
+    weights = list(w_map_new.keys())
+
+    k = len(w_map_new)
+    N = sum(counts)
+
+    for n in range(N+1):
+        #print("comp", n)
+        #sys.stdout.flush()
+        ret[n] = {}
+        combs = generateCombs(k, n, ub = counts)
+        for comb in combs:
+            ws = 0
+            count = 1
+            for i in range(k):
+                ws += comb[i]*weights[i]
+                count *= binom(counts[i], comb[i])
+            if not ws in ret[n]:
+                ret[n][ws] = 0
+            ret[n][ws] += count
+    return ret
diff --git a/src/drsoft/utils/gwamar_res_io_utils.py b/src/drsoft/utils/gwamar_res_io_utils.py
new file mode 100644
index 0000000..4a2a424
--- /dev/null
+++ b/src/drsoft/utils/gwamar_res_io_utils.py
@@ -0,0 +1,171 @@
+from drsoft.structs.resistance_profile import ResistanceProfile
+from drsoft.utils.gwamar_muts_utils import compressProfile, decompressProfile,convertFullProfile
+from drsoft.utils.gwamar_muts_io_utils import writeMutationsHeader
+from drsoft.utils.gwamar_strains_io_utils import strainAureusNames,\
+    strainsMapRev
+
+def saveResistanceProfiles(output_fh, res_profiles_list, strains_list, compress=False, header=True, sel_profiles=None):
+    tls = []
+    if compress == False:
+        for drp in res_profiles_list:
+            drug_name = drp.drug_name
+
+            if sel_profiles != None and not drug_name in sel_profiles:
+                continue
+            tl = drug_name+"\t"
+            for i in drp.getResistant():
+                if i in drp.pred_strains:
+                    tl += "*"
+                tl += strains_list[i]+";"
+            if tl.endswith(";"): tl = tl[:-1]
+            tl += "\t"
+            for i in drp.getSusceptible():
+                if i in drp.pred_strains:
+                    tl += "*"
+                tl += strains_list[i]+";"
+            if tl.endswith(";"): tl = tl[:-1]
+            tl += "\t"
+            for i in drp.getInterresistant():
+                if i in drp.pred_strains:
+                    tl += "*"
+                tl += strains_list[i]+";"
+            
+            if tl.endswith(";"): tl = tl[:-1]
+            tl += "\n"
+            tls.append(tl)
+    else:
+        if header:
+            writeMutationsHeader(output_fh, strains_subset=strains_list, only_strains=True, sep=" ")
+        for drp in res_profiles_list:
+            drug_name = drp.drug_name
+            if sel_profiles != None and not drug_name in sel_profiles:
+                continue
+            cmp_profile = compressProfile(drp.full_profile)
+            tl = drug_name + "\t" + cmp_profile + "\n"
+            tls.append(tl)
+        
+    for tl in tls:
+        output_fh.write(tl)
+    return None
+
+def readResistanceProfiles(input_fh, strains_list = None, load_int = False, as_map = False):
+    res_profiles_list = []
+    
+    lines = input_fh.readlines()
+    line0 = lines[0].strip()
+    strain_ids_tmp = line0.split()
+    strain_ids = []
+    for strain_id_tmp in strain_ids_tmp:
+        strain_ids.append(strainAureusNames(strain_id_tmp))
+    n = len(strain_ids)
+
+    if strains_list == None:
+        strains_map_rev = None
+    else:
+        strains_map_rev = strainsMapRev(strains_list)
+           
+    # strains_list = line0.split()
+    # n = len(strains_list)
+    # strains_map_rev = strainsMapRev(strains_list)
+
+    for line in lines[1:]:
+        line = line.strip()
+        if line.startswith("#"): continue
+        tokens = line.split("\t")
+        drug_name = tokens[0]
+        if len(tokens) < 2: continue
+        cmp_profile = tokens[1]
+
+        full_profile_tmp = decompressProfile(cmp_profile, n)
+        full_profile = convertFullProfile(full_profile_tmp, strain_ids, strains_map_rev)
+       # print(len(full_profile_tmp), len(full_profile))
+        res_profile = ResistanceProfile(drug_name, len(full_profile))
+        res_profile.full_profile = full_profile
+        res_profile.computeResSets()
+        res_profiles_list.append(res_profile)
+    # else:
+    #     n = len(strains_list)
+    #     strains_map_rev = strainsMapRev(strains_list)
+    #     for line in lines:
+    #         line = line.strip()
+    #         if line.startswith("#"): continue
+    #         if len(line) < 2: continue
+    
+    #         tokens = line.split("\t")
+    #         if len(tokens) < 3: continue
+            
+
+    #         drug_name = tokens[0]
+    #         res_strains_tmp = tokens[1].split(";")
+    #         sc_strains_tmp = tokens[2].split(";")
+            
+    #         if len(tokens) == 4 and load_int: int_strain_tmp = tokens[3].split(";")
+    #         else: int_strain_tmp = []
+            
+    #         res_strains = set([])
+    #         sc_strains = set([])
+    #         int_strains = set([])
+    #         pred_strains = set([])
+            
+    #         for strain_id in res_strains_tmp:
+    #             if len(strain_id) < 1: continue
+    #             if strain_id.startswith("*"): strain_id = strain_id[1:]
+    #             strain_id = strainAureusNames(strain_id)
+
+    #             res_strains.add(strain_id)
+    #         for strain_id in sc_strains_tmp:
+    #             if len(strain_id) < 1: continue
+    #             if strain_id.startswith("*"): strain_id = strain_id[1:]
+    #             strain_id = strainAureusNames(strain_id)
+                
+    #             sc_strains.add(strain_id)
+    #         for strain_id in int_strain_tmp:
+    #             if len(strain_id) < 1: continue
+    #             if strain_id.startswith("*"): strain_id = strain_id[1:]
+    #             strain_id = strainAureusNames(strain_id)
+                
+    #             int_strains.add(strain_id)
+                
+    #         res_profile = ResistanceProfile(drug_name, n)
+            
+    
+    #         for strain_id in strains_list:
+    #             strain_index = strains_map_rev[strain_id]
+    #             if strain_id in sc_strains:
+    #                 res_profile.changeState(strain_index, "S")
+    #             elif strain_id in res_strains:
+    #                 res_profile.changeState(strain_index, "R")
+    #             elif strain_id in int_strains:
+    #                 res_profile.changeState(strain_index, "I")
+    #             else:
+    #                 res_profile.changeState(strain_index, "?")
+            
+    #         print(''.join(res_profile.full_profile))
+    #         res_profile.computeResSets()
+            
+    #         res_profile.drug_name = drug_name
+    #         res_profile.pred_strains = pred_strains
+    #         res_profiles_list.append(res_profile)
+    if as_map == True:
+        res_profiles_map = {}
+        
+        for res_porfile in res_profiles_list:
+            res_profiles_map[res_porfile.drug_name] = res_porfile
+            
+        return res_profiles_map
+    
+    return res_profiles_list
+
+
+def readDrugNames(input_fh):
+    drug_names = set([])
+    lines= input_fh.readlines();
+    
+    for line in lines:
+        if line.startswith("#"): continue
+        line = line.strip()
+        tokens = line.split("\t")
+        if len(tokens) < 2: continue
+        drug_name = tokens[0]
+        drug_names.add(drug_name)
+    return drug_names
diff --git a/src/drsoft/utils/gwamar_res_utils.py b/src/drsoft/utils/gwamar_res_utils.py
new file mode 100644
index 0000000..88ec079
--- /dev/null
+++ b/src/drsoft/utils/gwamar_res_utils.py
@@ -0,0 +1,52 @@
+def findScStrains(res_profiles_list):
+    ret = None
+    for drp in res_profiles_list:
+#        print(drp.drug_name, drp.sc_strains_ids, ret)    
+        if ret == None: ret = drp.sc_strains_ids
+        else: ret &= (drp.sc_strains_ids)
+    
+    if len(ret) == 0:
+        ret1 = None
+        for drp in res_profiles_list:
+ #           print(drp.drug_name, drp.sc_strains_ids, ret1)    
+            if ret1 == None: ret1 = drp.sc_strains_ids
+            else: ret1 |= (drp.sc_strains_ids)
+  #      print("allowing unknown")
+        ret2 = None
+        for res_profile in res_profiles_list:
+            if ret2 == None:
+                ret2 = res_profile.sc_strains_ids | res_profile.unknown_strains_ids
+            else: 
+   #             print(res_profile.drug_name, len(ret2), len(ret2 & ret1), ret2 & ret1)
+                ret2 &= (res_profile.sc_strains_ids | res_profile.unknown_strains_ids)
+        return ret2 & ret1
+    return ret
+
+def compareProfiles(bin_profile, dr_profile):
+    n = len(bin_profile)
+    s0,s1,r0,r1,i0,i1 = 0,0,0,0,0,0
+    for i in range(n):
+        if bin_profile[i] == "?" or dr_profile[i] == "?":
+            continue
+        else:
+            if bin_profile[i] == '0':
+                if dr_profile[i] == "S":
+                    s0 += 1
+                elif dr_profile[i] == "R":
+                    r0 += 1
+                else:
+                    i0 += 1
+            else:
+                if dr_profile[i] == "S":
+                    s1 += 1
+                elif dr_profile[i] == "R":
+                    r1 += 1
+                else:
+                    i1 += 1
+    return s0, s1, i0, i1, r0, r1
+
+def drugNamePermID(drug_name_id):
+    tokens = drug_name_id.split("_")
+    if len(tokens) <= 1: return 0
+    return int(tokens[len(tokens)-1])
+
diff --git a/src/drsoft/utils/gwamar_scoring.py b/src/drsoft/utils/gwamar_scoring.py
new file mode 100644
index 0000000..5c31798
--- /dev/null
+++ b/src/drsoft/utils/gwamar_scoring.py
@@ -0,0 +1,186 @@
+import sys
+import os
+import copy
+import multiprocessing
+from multiprocessing import Pool
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_ann_utils import *
+from drsoft.utils.gwamar_muts_utils import *
+from drsoft.utils.gwamar_res_utils import *
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_strains_io_utils import *
+from drsoft.utils.gwamar_muts_io_utils import *
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_tree_io_utils import *
+from drsoft.utils.gwamar_progress_utils import *
+from drsoft.utils.gwamar_scoring_flat_utils import *
+from drsoft.utils.gwamar_scoring_tree_utils import *
+from drsoft.utils.gwamar_utils import ensure_dir
+from drsoft.modelling.tgh import *
+from drsoft.modelling.tgh2 import *
+
+def revOrder(score):
+    rev_sorting = -1
+    if score.startswith("pv-") or score.count("+") > 0:
+        rev_sorting = 1
+    return rev_sorting
+
+def loadTreesList(strains_list, tree_id, score_full, results_dir):
+    if score_full.startswith("r-"):
+        input_fn = results_dir + "/tree" + tree_id + "_bin.txt"
+    else:
+        input_fn = results_dir + '/tree' + tree_id + '.txt'
+
+    input_fh = open(input_fn)
+    trees_list = readPhyloTrees(input_fh, strains_list)
+    input_fh.close()
+
+    return trees_list
+
+def computeScores(score_full, drug_name, parameters):
+    input_dir = parameters["DATASET_INPUT_DIR"]
+    results_dir = parameters["RESULTS_DIR"]
+    ranks_dir = parameters["RESULTS_RANKS_DIR"]
+
+    input_fh = open(input_dir + "/strains_ordered.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+
+    strains_list = strains.allStrains()
+    
+    input_fh = open(results_dir + "/res_profiles.txt")
+    res_profiles_map = readResistanceProfiles(input_fh, load_int=True, as_map = True)
+    input_fh.close()
+    drug_res_profile = res_profiles_map[drug_name]
+
+    input_fn = results_dir + '/bin_profiles_' + parameters["MT"] + '.txt'
+    if not os.path.exists(input_fn):
+        print("File not found: " + input_fn)
+        sys.exit(-1)
+        
+    #print("here", strains.count())
+    gen_bin_profile = False
+    input_fh = open(input_fn)
+    bin_profiles = readBinProfiles(input_fh, strains.count(), gen_bin_profiles=gen_bin_profile)
+    input_fh.close()        
+        
+    rev_sorting = revOrder(score_full)
+    if score_full.count("+") > 0:
+        subscores = score_full.split("+")
+        bin_profile_scores = calcBinProfilesRanksSumScore(bin_profiles, drug_res_profile.drug_name, ranks_dir, subscores=subscores)
+        return bin_profile_scores, rev_sorting
+
+    score_tokens = score_full.split("_")
+    score, score_params = score_tokens[0], score_tokens[1:]
+    
+    salpha = 0.0
+    tree_id = parameters.get("TREE_ID", "")
+    
+    for score_param in score_params:
+        if score_param.startswith("x"):
+            salpha = float(score_param[1:])
+            gen_bin_profile = True
+        elif score_param.startswith("y"):
+            tree_id = str(score_param[1:])
+
+    if score == "mi":
+        bin_profile_scores = calcBinProfilesMI(bin_profiles, drug_res_profile)
+    elif score == "lh":
+        bin_profile_scores = calcBinProfilesHyperTest(bin_profiles, drug_res_profile)
+    elif score == "sp":
+        bin_profile_scores = calcBinProfilesSupports(bin_profiles, drug_res_profile, alpha=salpha)
+    elif score == "or":
+        bin_profile_scores = calcBinProfilesOddsRatio(bin_profiles, drug_res_profile)
+    elif score in ["tgh", "r-tgh","r-ntgh","ntgh"]:
+        trees_list = loadTreesList(strains_list, tree_id, score_full, results_dir)
+
+        if score in ["r-ntgh","ntgh"]: norm = True
+        else: norm=False
+        mem_fn = parameters["TGH_DIR"] + "/"+drug_name+".txt"
+        mem = readTGHMem(mem_fn)
+        bin_profile_scores, mem = calcBinProfilesTGH(bin_profiles, drug_res_profile, trees_list, norm=norm, opt=True, w2=True, mem=mem)
+        saveTGHMem(mem, mem_fn)
+    elif score in ["tgh2", "r-tgh2"]:
+        trees_list = loadTreesList(strains_list, tree_id, score_full, results_dir)
+        mem_fn = parameters["TGH2_DIR"] + "/"+drug_name+".txt"
+        ensure_dir(parameters["TGH2_DIR"])
+
+        mem = readTGHMem(mem_fn)
+        bin_profile_scores, mem = calcBinProfilesTGH2(bin_profiles, drug_res_profile, trees_list, opt=True, w2=True, mem=mem)
+        saveTGHMem(mem, mem_fn)
+
+    elif score in ["mts", "r-mts"]:
+        trees_list = loadTreesList(strains_list, tree_id, score_full, results_dir)
+
+        theta, zeta, beta = 0.5, 0.1, -1.0
+        for score_param in score_params:
+            if score_param.startswith("th"):
+                theta = float(score_param[2:])
+            elif score_param.startswith("ze"):
+                zeta = float(score_param[2:])
+            elif score_param.startswith("be"):
+                beta = float(score_param[2:])
+        bin_profile_scores = calcBinProfilesMinTreeScore(bin_profiles, drug_res_profile, trees_list, theta = theta, zeta=zeta, beta=beta, alpha=salpha)
+    elif score in ["ts", "r-ts"]:
+        trees_list = loadTreesList(strains_list, tree_id, score_full, results_dir)
+
+        theta, zeta, beta = 0.5, 0.0, -1.0
+        for score_param in score_params:
+            if score_param.startswith("th"):
+                theta = float(score_param[2:])
+            elif score_param.startswith("ze"):
+                zeta = float(score_param[2:])
+            elif score_param.startswith("be"):
+                beta = float(score_param[2:])
+        bin_profile_scores = calcBinProfilesTreeScore(bin_profiles, drug_res_profile, trees_list, theta = theta, zeta=zeta, beta=beta, alpha=salpha)
+    elif score == "ts_adj":
+        trees_list = loadTreesList(strains_list, tree_id, score_full, results_dir)
+        bin_profile_scores = calcBinProfilesTreeScoreAdj(bin_profiles, drug_res_profile, drps_other, trees_list, alpha=salpha)
+    elif score == "tsp":
+        trees_list = loadTreesList(strains_list, tree_id, score_full, results_dir)
+        r = len(drug_res_profile.getResistant())
+        s = len(drug_res_profile.getSusceptible())
+        beta = - float(r)/float(s)
+        bin_profile_scores = calcBinProfilesTreeScore(bin_profiles, drug_res_profile, trees_list, beta=beta, alpha=salpha)
+    elif score in ["ws", "r-ws"]:
+        trees_list = loadTreesList(strains_list, tree_id, score_full, results_dir)
+        bin_profile_scores = calcBinProfilesWeightedSupport(bin_profiles, drug_res_profile, trees_list, alpha=salpha, norm=False)
+    elif score in ["pws", "r-pws"]:
+        trees_list = loadTreesList(strains_list, tree_id, score_full, results_dir)
+        bin_profile_scores = calcBinProfilesWeightedSupportPvalue(bin_profiles, drug_res_profile, trees_list, alpha=salpha, norm=False)
+    elif score in ["nws", "r-nws"]:
+        trees_list = loadTreesList(strains_list, tree_id, score_full, results_dir)
+        bin_profile_scores = calcBinProfilesWeightedSupport(bin_profiles, drug_res_profile, trees_list, alpha=salpha, norm=True)
+    elif score in ["sts", "r-sts"]:
+        trees_list = loadTreesList(strains_list, tree_id, score_full, results_dir)
+        theta, zeta, beta = 0.5, 0.0, -1.0
+        eps_r, alpha_r, beta_r = 0.001, 0.2, 0.0001
+        eps_m, psi_m, phi_m = 0.00001, 0.1, 0.0001
+        for score_param in score_params:
+            if score_param.startswith("th"):
+                theta = float(score_param[2:])
+            elif score_param.startswith("ze"):
+                zeta = float(score_param[2:])
+            elif score_param.startswith("be"):
+                beta = float(score_param[2:])
+            elif score_param.startswith("er"):
+                eps_r = float(score_param[2:])
+            elif score_param.startswith("ar"):
+                alpha_r = float(score_param[2:])
+            elif score_param.startswith("br"):
+                beta_r = float(score_param[2:])
+            elif score_param.startswith("em"):
+                eps_m = float(score_param[2:])
+            elif score_param.startswith("pm"):
+                psi_m = float(score_param[2:])
+            elif score_param.startswith("qm"):
+                phi_m = float(score_param[2:])
+                
+        bin_profile_scores = calcBinProfilesTreeScoreStoch(bin_profiles, drug_res_profile, trees_list, 
+                                                            eps_m=eps_m, psi_m=psi_m, phi_m=phi_m,  
+                                                            eps_r=eps_r, alpha_r=alpha_r, beta_r=beta_r, 
+                                                            theta = theta, zeta=zeta, beta=beta, alpha=salpha)
+    else:
+        return None
+    return bin_profile_scores, rev_sorting
diff --git a/src/drsoft/utils/gwamar_scoring_flat_utils.py b/src/drsoft/utils/gwamar_scoring_flat_utils.py
new file mode 100644
index 0000000..93be055
--- /dev/null
+++ b/src/drsoft/utils/gwamar_scoring_flat_utils.py
@@ -0,0 +1,165 @@
+import os
+import math
+import time
+
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_stat_utils import hyperTestPvalue
+
+def calcBinProfilesHyperTest(bin_profiles, drp):
+    scores = {}
+    resistant = drp.getResistant()
+    susceptible = drp.getSusceptible()
+    intermediate = drp.getInterresistant()
+    
+    info_strains = resistant | susceptible | intermediate
+    N = len(info_strains)
+    m = len(drp.getResistant())
+        
+    for bin_profile_id, gen_bin_profile in bin_profiles.items():
+        score = 0.0
+        for bin_profile in specBinProfiles(gen_bin_profile):
+            mutated = getMutated(bin_profile) & info_strains
+            n = len(mutated)
+            k = len(mutated & resistant)
+            
+            try:
+                hyper = hyperTestPvalue(N,n,m,k)
+            except:
+                hyper = 0.0
+                print("error", N,n,m,k)
+            if hyper > 0.0: score += -math.log(hyper)
+        scores[bin_profile_id] = score
+
+    return scores
+
+
+def calcBinProfilesMI(bin_profiles, drp):
+    scores = {}
+    resistant = drp.getResistant()
+    susceptible = drp.getSusceptible()
+    intermediate = drp.getInterresistant()
+    
+    info_strains = resistant | susceptible | intermediate
+    n = len(info_strains)
+    
+    for bin_profile_id, gen_bin_profile in bin_profiles.items():
+        score = 0.0
+        for bin_profile in specBinProfiles(gen_bin_profile):
+            mutated = getMutated(bin_profile) & info_strains
+            not_mutated = getNotMutated(bin_profile) & info_strains
+    
+            pr0 = float(len(not_mutated & resistant)) / n
+            pr1 = float(len(mutated & resistant)) / n
+            ps0 = float(len(not_mutated & susceptible)) / n
+            ps1 = float(len(mutated & susceptible)) / n
+            pi0 = float(len(not_mutated & intermediate)) / n
+            pi1 = float(len(mutated & intermediate)) / n
+            pr = float(len(resistant)) / n
+            ps = float(len(susceptible)) / n
+            pi = float(len(intermediate)) / n
+            p0 = float(len(not_mutated)) / n
+            p1 = float(len(mutated)) / n
+        
+            mi = 0.0
+            if pr0 > 0.0: mi += pr0*math.log(pr0/(pr*p0))
+            if pr1 > 0.0: mi += pr1*math.log(pr1/(pr*p1))
+            if ps0 > 0.0: mi += ps0*math.log(ps0/(ps*p0))
+            if ps1 > 0.0: mi += ps1*math.log(ps1/(ps*p1))
+            if pi0 > 0.0: mi += pi0*math.log(pi0/(pi*p0))
+            if pi1 > 0.0: mi += pi1*math.log(pi1/(pi*p1))
+            
+            score += mi
+        scores[bin_profile_id] = score
+
+    return scores
+
+
+def calcBinProfilesSupports(bin_profiles, drp, alpha=0.0):
+    scores = {}
+    
+    resistant = drp.getResistant()
+    susceptible = drp.getSusceptible()
+    
+    beta = float(len(resistant)/float(len(susceptible)))
+    
+    for bin_profile_id, gen_bin_profile in bin_profiles.items():
+        score = 0.0
+        for bin_profile in specBinProfiles(gen_bin_profile):
+            mutated = getMutated(bin_profile)
+            not_mutated = getNotMutated(bin_profile)
+            
+            mut_res = float(len(mutated & resistant))
+            mut_susc = float(len(not_mutated & susceptible))
+            support = mut_res - beta*mut_susc
+            score += max(support, 0.0) + alpha * min(support, 0.0)
+        scores[bin_profile_id] = max(0, score)
+        
+    return scores      
+
+def calcBinProfilesRanksSumScore(bin_profiles, drug_name, ranks_dir, subscores=["mi", "or", "ts", "ws"]):
+    scores = {}
+
+    for bin_profile_id in bin_profiles.keys():
+        scores[bin_profile_id] = 0.0
+    
+    for score_name in subscores:
+        input_fn = ranks_dir + drug_name + "/" + score_name + ".txt"
+        if not os.path.exists(input_fn):
+            print("File not found: " + input_fn)
+            return {}
+        input_fh = open(input_fn)
+        for line in input_fh.readlines():
+            tokens = line.split()
+            if len(tokens) < 2: continue
+            bin_profile_id = tokens[0]
+            r_min_pos, r_max_pos, r_min_i, r_max_i = map(int, tokens[1:])
+            rank_avg_pos = float(r_min_pos + r_max_pos) / 2.0
+            rank_avg_i = float(r_min_i + r_max_i) / 2.0
+            scores[bin_profile_id] += rank_avg_i
+        input_fh.close()
+    return scores
+
+def calcBinProfilesPermRanksSumScore(bin_profiles, drug_name, drug_name_id, ranks_dir, subscores=["mi", "or", "tscore", "wsupport"]):
+    scores = {}
+
+    for bin_profile_id in bin_profiles.keys():
+        scores[bin_profile_id] = 0.0
+    
+    for score_name in subscores:
+        input_fn = ranks_dir + drug_name + "/" + score_name + "/" + drug_name_id + ".txt"
+        if not os.path.exists(input_fn):
+            return {}
+        input_fh = open(input_fn)
+        for line in input_fh.readlines():
+            tokens = line.split()
+            if len(tokens) < 2: continue
+            bin_profile_id = tokens[0]
+            rank = float(tokens[1])
+            scores[bin_profile_id] += rank
+        input_fh.close()
+    return scores
+
+def calcBinProfilesOddsRatio(bin_profiles, drp, alpha=0.0):
+    scores = {}
+    resistant = drp.getResistant()
+    susceptible = drp.getSusceptible()
+    
+    for bin_profile_id, gen_bin_profile in bin_profiles.items():
+        score = 0.0
+        for bin_profile in specBinProfiles(gen_bin_profile):
+            mutated = getMutated(bin_profile)
+            not_mutated = getNotMutated(bin_profile)
+            
+            rm = float(len(resistant & mutated))
+            sm = float(len(susceptible & mutated))
+            rnm = float(len(resistant & not_mutated))
+            snm = float(len(susceptible & not_mutated))
+    
+            odds_r = rm * snm / (max(1, rnm) * max(1, sm))
+            score += max(odds_r, 0.0) + alpha * min(odds_r, 0.0)
+            
+        scores[bin_profile_id] = max(0.0, score)
+    
+    return scores
+    
\ No newline at end of file
diff --git a/src/drsoft/utils/gwamar_scoring_tree_utils.py b/src/drsoft/utils/gwamar_scoring_tree_utils.py
new file mode 100644
index 0000000..5d81b2b
--- /dev/null
+++ b/src/drsoft/utils/gwamar_scoring_tree_utils.py
@@ -0,0 +1,292 @@
+import math
+import time
+import sys
+from decimal import Decimal
+
+from drsoft.modelling.treeutils import *
+from drsoft.utils.gwamar_pws import *
+from drsoft.utils.gwamar_progress_utils import GWAMARProgress
+from drsoft.utils.gwamar_bin_utils import *
+from drsoft.utils.gwamar_stat_utils import mean, hyperTestPvalue
+
+def calcBinProfilesMinTreeScore(bin_profiles, drp, trees_list, verbose=False, alpha=0.0):
+    scores = {}
+    tstable = getstable(0.5, 0.0, -1.0)
+
+    if len(drp.getResistant()) == 0:
+        return {}    
+    
+    for bin_profile_id in bin_profiles.keys():
+        scores[bin_profile_id] = []
+    
+    if verbose:
+        progress = gwamarProgress("tscore: " + drp.drug_name)
+        progress.setJobsCount(len(trees_list)*len(bin_profiles))
+
+    for tree in trees_list:    
+        tree.setObservedResProfile(drp.full_profile)
+        tree.calcInnerNodesBU()
+        calcSubleavesResCount(tree)
+        calcSubnodesCount(tree)
+        
+        newtree = removeUnResLeaves(tree)
+        newtree.calcInnerNodesBU()
+        calcSubleavesResCount(newtree)
+        calcSubnodesCount(newtree)
+        calcDetParsResModel(newtree)
+
+        for bin_profile_id, gen_bin_profile in bin_profiles.items():
+            score = 0.0
+            for bin_profile in specBinProfiles(gen_bin_profile):
+                newtree.setObservedMutProfile(bin_profile)
+                calcSubleavesMutCount(newtree)
+                calcDetParsMutModel(newtree)
+                
+                for node in newtree.leaves:
+                    node.tscore_tmp = 0.0
+                
+                for node in newtree.inner_nodes_bu:
+                    node.tscore_tmp = 0.0 
+                    
+                    n,n0,n1 = 0,0,0
+                    r0,s0,i0 = 0,0,0
+                    r1,s1,i1 = 0,0,0
+                    r,s,i = 0,0,0
+                    
+                    node_res = node.complete_res_state
+                    node_mut = node.complete_mut_state
+                    node_desc = node_res + node_mut
+
+                    for ch_node in node.children:
+                        node.tscore_tmp += ch_node.tscore_tmp
+                        
+                        ch_node_res = ch_node.complete_res_state
+                        ch_node_mut = ch_node.complete_mut_state
+                        
+                        ch_desc = ch_node_res + ch_node_mut
+                        if ch_desc == "R0": r += 1; n += 1; n0 += 1; r0 += 1
+                        elif ch_desc == "R1": r += 1; n += 1; n1 += 1; r1 += 1
+                        elif ch_desc == "S0": s += 1; n += 1; n0 += 1; s0 += 1
+                        elif ch_desc == "S1": s += 1; n += 1; n1 += 1; s1 += 1
+                        elif ch_desc == "I0": i += 1; n += 1; n0 += 1; i0 += 1
+                        elif ch_desc == "I1": i += 1; n += 1; n1 += 1; i1 += 1
+
+                    if   node_desc == "R0": node.tscore_tmp += min(1,r1)*tstable.get("RR01")
+                    elif node_desc == "R1": node.tscore_tmp += min(1,r1)*tstable.get("RR11")
+                    elif node_desc == "I0": node.tscore_tmp += min(1,r1)*tstable.get("IR01") + min(1,i1)*tstable.get("II01")
+                    elif node_desc == "I1": node.tscore_tmp += min(1,r1)*tstable.get("IR11") + min(1,i1)*tstable.get("II11")
+                    elif node_desc == "S0": node.tscore_tmp += min(1,r1)*tstable.get("SR01") + min(1,i1)*tstable.get("SI01") + s1*tstable.get("SS01")
+                    elif node_desc == "S1": node.tscore_tmp += min(1,r1)*tstable.get("SR11") + min(1,i1)*tstable.get("SI11") + s1*tstable.get("SS11")
+                
+                    #print(node.tscore_tmp, node_desc, len(node.children), r0, r1, s0,s1,i0,i1)
+                stmp = newtree.root.tscore_tmp
+                score += max(stmp, 0.0) + alpha * min(stmp, 0.0)
+            
+            scores[bin_profile_id].append(max(0.0, score))
+            if verbose:
+                progress.update()
+
+    scores_mean = {}
+    
+    for bin_profile_id in scores:
+        scores_mean[bin_profile_id] = mean(scores[bin_profile_id])
+        
+    return scores_mean
+
+
+def calcBinProfilesTreeScore(bin_profiles, drp, trees_list, theta = 0.5, zeta=0.0, beta=-1.0, verbose=False, tscore_type="P", alpha=0.0):
+    scores = {}
+
+#    print("Xxx", theta, zeta, beta)
+    if len(drp.getResistant()) == 0:
+        return {}
+        
+    for bin_profile_id in bin_profiles.keys():
+        scores[bin_profile_id] = []
+    
+    if verbose:
+        progress = gwamarProgress("tscore: " + drp.drug_name)
+        progress.setJobsCount(len(trees_list)*len(bin_profiles))
+    for tree in trees_list:
+        
+        tree.setObservedResProfile(drp.full_profile)
+        tree.calcInnerNodesBU()
+        calcSubleavesResCount(tree)
+        calcSubnodesCount(tree)
+        
+        newtree = removeUnResLeaves(tree)
+        newtree.calcInnerNodesBU()
+        calcSubleavesResCount(newtree)
+        calcSubnodesCount(newtree)
+        calcDetParsResModel(newtree)
+        
+        for bin_profile_id, gen_bin_profile in bin_profiles.items():
+            score = 0.0
+
+            for bin_profile in specBinProfiles(gen_bin_profile):
+                newtree.setObservedMutProfile(bin_profile)
+                calcSubleavesMutCount(newtree)
+                calcDetParsMutModel(newtree)
+
+                score_tmp = calcTransitionScore(newtree, theta, zeta, beta, tscore_type)
+                score += max(score_tmp, 0.0) + alpha*min(score_tmp, 0.0)
+            
+            scores[bin_profile_id].append(max(0.0, score))
+            if verbose:
+                progress.update()
+
+    scores_mean = {}
+    
+    for bin_profile_id in scores:
+        scores_mean[bin_profile_id] = mean(scores[bin_profile_id])
+        
+    return scores_mean
+
+
+def calcBinProfilesWeightedSupport(bin_profiles, drp, trees_list, alpha=0.0, norm=False):
+    scores = {}
+    
+    if len(drp.getResistant()) == 0:
+        return {}
+    
+    for bin_profile_id in bin_profiles.keys():
+        scores[bin_profile_id] = []
+
+    for tree in trees_list:
+        tree.setObservedResProfile(drp.full_profile)
+        tree.calcInnerNodesBU()
+        calcSubleavesResCount(tree)
+        calcSubnodesCount(tree)
+        
+        resistant = drp.getResistant()
+        susceptible = drp.getSusceptible()
+        beta = float(len(resistant)/float(len(susceptible)))
+        
+        newtree = removeUnResLeaves(tree)
+        newtree.calcInnerNodesBU()
+        newtree.calcContributions(drp, beta)
+        
+        if norm: max_ws = newtree.maximalWeightedSupport()
+        else: max_ws = 1.0
+        
+        for bin_profile_id, gen_bin_profile in bin_profiles.items():
+            score = 0.0
+            for bin_profile in specBinProfiles(gen_bin_profile):
+                wsupport = newtree.calcWeightedSupport(getMutated(bin_profile))
+                if norm: wsupport = wsupport / max_ws
+                score += max(wsupport, 0.0) + alpha*min(wsupport, 0.0)
+            scores[bin_profile_id].append(max(0.0, score))
+
+    scores_mean = {}
+    for bin_profile_id in scores:
+        scores_mean[bin_profile_id] = mean(scores[bin_profile_id])
+    return scores_mean
+
+
+def calcBinProfilesWeightedSupportPvalue(bin_profiles, drp, trees_list, alpha=0.0, norm=False):
+    scores = {}
+    
+    if len(drp.getResistant()) == 0:
+        return {}
+    
+    for bin_profile_id in bin_profiles.keys():
+        scores[bin_profile_id] = []
+    
+    for tree in trees_list:
+        tree.setObservedResProfile(drp.full_profile)
+        tree.calcInnerNodesBU()
+        calcSubleavesResCount(tree)
+        calcSubnodesCount(tree)
+        
+        resistant = drp.getResistant()
+        susceptible = drp.getSusceptible()
+        known = drp.getKnown()
+
+        beta = float(len(resistant)/float(len(susceptible)))
+        
+        newtree = removeUnResLeaves(tree)
+        newtree.calcInnerNodesBU()
+        newtree.calcContributions(drp, beta)
+        
+        wmap = {}
+
+        for leaf in newtree.leaves:
+            if not leaf.contribution in wmap:
+                wmap[leaf.contribution] = 0
+            wmap[leaf.contribution] += 1
+
+        res_map = wsupportTestMap(wmap)
+
+        for bin_profile_id, gen_bin_profile in bin_profiles.items():
+            score = 0.0
+            for bin_profile in specBinProfiles(gen_bin_profile):
+                mutated = getMutated(bin_profile) & known
+                ws = newtree.calcWeightedSupport(mutated)
+                n = len(mutated)
+                tc = 0.0
+                sc = 0.0
+                for s in res_map[n]:
+                    if s >= ws: sc += res_map[n][s]
+                    tc += res_map[n][s]
+                
+                if sc > 0:
+                    pws = float(sc) / float(tc)
+                    score += -math.log(pws)
+            scores[bin_profile_id].append(score)
+
+    scores_mean = {}
+    for bin_profile_id in scores:
+        scores_mean[bin_profile_id] = mean(scores[bin_profile_id])
+    return scores_mean
+
+def calcBinProfilesTreeScoreStoch(bin_profiles, drp, tree_list,
+                                  eps_m=0.00001, psi_m=0.1, phi_m=0.0001,  
+                                  eps_r=0.001, alpha_r=0.2, beta_r=0.0001, 
+                                  theta=0.5, zeta=0.0, beta=-1.0,
+                                  tscore_type="P", prob_profile=False, verbose=False, alpha=0.0):
+    scores = {}
+
+    for bin_profile_id, bin_profile in bin_profiles.items():
+        scores[bin_profile_id] = []
+
+    if verbose:
+        progress = gwamarProgress("TreeScoreStoch " + drp.drug_name)
+        progress.setJobsCount(len(bin_profiles)*len(tree_list))
+            
+    for tree in tree_list:
+        tree.setObservedResProfile(drp.full_profile)
+        tree.calcInnerNodesBU()
+        if prob_profile: 
+            tree.setObservedResProbProfile(drp.res_profile_prob_map)
+        calcSubleavesResCount(tree)
+        calcSubnodesCount(tree)
+    
+        newtree = removeUnResLeaves(tree)
+        newtree.calcInnerNodesBU()
+        calulateCompleteResProfile(newtree, eps=eps_r, alpha=alpha_r, beta=beta_r)
+        
+        calcProbAllLeafResistant(newtree)
+        calcSubleavesResCount(newtree)
+        calcSubnodesCount(newtree)
+        
+        for bin_profile_id, gen_bin_profile in bin_profiles.items():        
+            score = 0.0
+            for bin_profile in specBinProfiles(gen_bin_profile):
+                newtree.setObservedMutProfile(bin_profile)
+                calcSubleavesMutCount(newtree)
+
+                calulateCompleteMutProfile(newtree, eps=eps_m, psi=psi_m, phi=phi_m)
+                
+                tscore_stoch = calcTransitionScoreExprectedValue(newtree, theta, zeta, beta, tscore_type)
+                score += max(tscore_stoch, 0.0) + alpha*min(tscore_stoch, 0.0)
+
+            scores[bin_profile_id].append(max(0.0, score))
+            if verbose:
+                progress.update()
+
+    scores_mean = {}
+    
+    for bin_profile_id in scores:
+        scores_mean[bin_profile_id] = mean(scores[bin_profile_id])
+        
+    return scores_mean
diff --git a/src/drsoft/utils/gwamar_stat_utils.py b/src/drsoft/utils/gwamar_stat_utils.py
new file mode 100644
index 0000000..d19fb28
--- /dev/null
+++ b/src/drsoft/utils/gwamar_stat_utils.py
@@ -0,0 +1,90 @@
+import time
+import math
+
+def bincoeff1(n, r):
+    if r < n - r: r = n - r
+    x = 1
+    for i in range(n, r, -1): x *= i
+    for i in range(n - r, 1, -1): x /= i
+    return x
+
+def hypergeometric(k, n1, n2, t):
+    if t > n1 + n2: t = n1 + n2
+    if k > n1 or k > t: return 0
+    elif t > n2 and ((k + n2) < t): return 0
+    else:
+        c1 = math.log(bincoeff1(n1, k))
+        c2 = math.log(bincoeff1(n2, t - k))
+        c3 = math.log(bincoeff1(n1 + n2 ,t))
+        
+    return math.exp(c1 + c2 - c3)
+
+def mean(data):
+    n = len(data)
+    if n==0: return 0.0
+    sum1 = sum(data)
+    
+    return sum1/n
+
+def binom(n, k):
+    if n < k: return 0
+    if k <= 0: return 1
+    if 2*k>n: k = n-k
+    ntok = 1
+    for t in range(k):
+        ntok = ntok*(n-t)//(t+1)
+    return ntok
+
+def hyperTestPvalue1(N,n,m,k,twoends=False):
+    r = 0.0
+    mian = binom(N,n)
+    for kt in range(max(k,n+m-N),min(n+1,m+1),1):
+        r += float(binom(m,kt)*binom(N-m,n-kt))
+    res1 = r / mian
+    if twoends:
+        r = 0.0
+        for kt in range(0,min(n+1,m+1,k+1),1):
+            r += float(binom(m,kt)*binom(N-m,n-kt))
+        res2 = r / mian
+        return min(res1,res2)
+    return res1
+
+def hyperTestPvalue2(N,n,m,k,twoends=False):
+    res1 = 0.0
+    for kt in range(max(k,n+m-N),min(n+1,m+1),1):
+        c1 = math.log(bincoeff1(m, kt))
+        c2 = math.log(bincoeff1(N-m, n-kt))
+        c3 = math.log(bincoeff1(N ,n))
+        res1 += math.exp(c1 + c2 - c3)
+    if twoends:
+        res2 = 0.0
+        for kt in range(0,min(n+1,m+1,k+1),1):
+            c1 = math.log(bincoeff1(m, kt))
+          #  print("1",c1, m, kt)
+            c2 = math.log(bincoeff1(N-m, n-kt))
+         #   print("2",c2, N-m, n-kt)
+            c3 = math.log(bincoeff1(N ,n))
+        #    print("3",c3, N, n)
+            res2 += math.exp(c1 + c2 - c3)
+            #print("t", res1,res2)
+         #   print("t", N,n,m,kt,res1,res2)
+        #print("x", N,n,m,k,res1,res2)
+        return min(res1,res2)
+    return res1
+
+def hyperTestPvalue(N,n,m,k, twoends=False):
+    if N <= 100: hyperTestPvalue1(N,n,m,k,twoends=twoends)
+    return hyperTestPvalue2(N,n,m,k,twoends=twoends)
+#
+#t0 = time.time()
+#print(binom(2000,1000))
+#t1 = time.time()
+#print(t1-t0)
+#print(hyperTestPvalue2(1332, 904, 1, 1))
+##print(1, hyperTestPvalue1(1000,100,100,4))
+##print(2, hyperTestPvalue2(1332, 904, 1, 1))
+#t2 = time.time()
+#
+#print(t2-t1)
+#print(binom(1000,500))
+#print(bincoeff1(1000,500))
diff --git a/src/drsoft/utils/gwamar_strains_io_utils.py b/src/drsoft/utils/gwamar_strains_io_utils.py
new file mode 100644
index 0000000..4d19d5b
--- /dev/null
+++ b/src/drsoft/utils/gwamar_strains_io_utils.py
@@ -0,0 +1,41 @@
+from drsoft.structs.strains import Strains
+from drsoft.structs.resistance_profile import ResistanceProfile
+from drsoft.structs.gene_profile import GeneProfile
+from drsoft.structs.mutation_profile import MutationProfile
+from drsoft.utils.gwamar_muts_utils import decompressProfile
+
+def strainAureusNames(strain_id):
+    if strain_id.startswith("aureus_") and strain_id != "aureus_M1015":
+        strain_id = strain_id[7:]
+    return strain_id
+
+def readStrains(input_fh):
+    strains = Strains();
+    lines = input_fh.readlines();
+    count_pos = 0
+    for line in lines:
+        tokens = line.split()
+        if line.startswith("#") or len(tokens) < 1: continue
+        
+        if len(tokens) == 1 or tokens[1] == "-":
+            strain_id = tokens[0]
+            strain_id = strainAureusNames(strain_id)
+            
+            strains.addStrain(strain_id, count_pos)
+            count_pos += 1
+        else: 
+            strain_id = tokens[0]
+            strain_id = strainAureusNames(strain_id)
+            
+            strains.addStrain(strain_id, count_pos)
+            count_pos += 1
+    return strains
+
+def strainsMapRev(strains_list):
+    strains_map_rev = {}
+    n = len(strains_list)
+    for i in range(n):
+        strain_id = strainAureusNames(strains_list[i])
+        strains_map_rev[strain_id] = i
+    return strains_map_rev
+
diff --git a/src/drsoft/utils/gwamar_tree_io_utils.py b/src/drsoft/utils/gwamar_tree_io_utils.py
new file mode 100644
index 0000000..968ae7c
--- /dev/null
+++ b/src/drsoft/utils/gwamar_tree_io_utils.py
@@ -0,0 +1,148 @@
+from drsoft.structs.res_tree import ResTree, ResTreeNode
+from drsoft.utils.gwamar_strains_io_utils import strainAureusNames
+
+def getTreeStrainList(tree_line):
+    tree_line = tree_line.strip().strip(";")
+    tree_line = tree_line.replace("(", ";")
+    tree_line = tree_line.replace(")", ";")
+    tree_line = tree_line.replace(",", ";")
+    strains_list_tmp = tree_line.split(";")
+    strains_list = []
+    for strain_id_tmp in strains_list_tmp:
+        if strain_id_tmp.count(":") > 0: strain_id = strain_id_tmp.split(":")[0]
+        else: strain_id = strain_id_tmp
+        if len(strain_id) == 0: continue
+        strains_list.append(strain_id)
+    return strains_list
+
+def splitStrSubtrees(strains_str):
+    strains_strs = []
+    curr_str = ""
+    count = 0
+    for i in range(0, len(strains_str), 1):
+        if(strains_str[i]=="("):
+            curr_str += strains_str[i]
+            count += 1
+        elif(strains_str[i]==")"):
+            curr_str += strains_str[i]
+            count -= 1
+        elif(count == 0 and strains_str[i]==","):
+            strains_strs.append(curr_str)
+            curr_str = ""
+        else:
+            curr_str += strains_str[i]
+    strains_strs.append(curr_str)
+    
+    return strains_strs
+
+def readResTreeRec(tree, tree_str, strains_list, strains_map={}, e_len=None, support=False):
+    last_index = tree_str.rfind(")")
+    if last_index == -1:
+        tokens = tree_str.split(":")
+        strain_name = tokens[0]
+        strain_name = strainAureusNames(strain_name)
+
+        try:
+            strain_index = strains_list.index(strain_name)
+        except:
+            return None
+            print("error", strain_name, tree_str)
+            exit()
+        strain_label = strains_map.get(strain_name, strain_name)
+        strain_node = ResTreeNode(strain_index)
+        strain_node.setLabel(strain_label)
+
+        if len(tokens) == 2:
+            e_attrs = tokens[1].split("|")
+            for e_attr in e_attrs:
+                if e_attr in ["b", "w"]:
+                    strain_node.ecolor = e_attr
+                elif e_len == None:
+                    try:
+                        if support == False:
+                            strain_node.e_len = float(e_attr)
+                        else:
+                            strain_node.e_len = float(1)
+                    except:
+                        pass
+                else:
+                    strain_node.e_len = e_len
+        else:
+            if e_len != None:
+                strain_node.e_len = e_len
+
+        tree.addLeafNode(strain_node)
+        return strain_node
+    else:
+        node_id = tree.createNodeID("")
+        node = ResTreeNode(node_id)
+        if last_index + 2 < len(tree_str):
+            attr_index = tree_str.rfind(":")
+            if attr_index > 0:
+                if support == False:
+                    e_attrs = tree_str[attr_index+1:].split("|")
+                else:
+                    e_attrs = tree_str[last_index+1:attr_index].split("|")
+                    #print(e_attrs, e_len, tree_str)
+                for e_attr in e_attrs:
+                    if e_attr in ["b", "w"]:
+                        node.ecolor = e_attr
+                    elif e_len == None:
+                        try:
+                            node.e_len = float(e_attr)
+             #               print(node.e_len)
+                        except:
+                            pass
+                    else:
+                        node.e_len = e_len
+
+            else:
+                if e_len != None:
+                    node.e_len = e_len
+        tree.addInternalNode(node)
+        subtrees_str = splitStrSubtrees(tree_str[1:last_index])
+        
+        for subtree_str in subtrees_str:
+            subtree_node = readResTreeRec(tree, subtree_str, strains_list, strains_map, e_len, support)
+            if subtree_node != None:
+                node.addChildren(subtree_node)
+                subtree_node.parent = node
+
+        if len(node.children) == 0:
+            return None
+        return node
+
+def readResTree(tree_text, strains_list=None, strains_map={}, e_len=None, support=False):
+    if strains_list == None:
+        strains_list = getTreeStrainList(tree_text)
+     
+    tree = ResTree(len(strains_list)) 
+    root = readResTreeRec(tree, tree_text, strains_list, strains_map, e_len, support=support)
+    tree.setRoot(root)
+
+    tree.setLeavesByIDs(range(tree.leaves_count))
+    return tree
+
+def readPhyloTrees(input_fh, strains_list=None,  strains_map={}, e_len=None, support=False):
+    trees_list = []
+    lines = input_fh.readlines()
+
+    tree_str = ""
+    for line in lines:
+        line = line.strip()
+        if line.endswith(";"):
+            tree_str += line;
+            if len(tree_str) < 1:
+                continue
+            if line.startswith("#"):
+                continue
+            if strains_list == None:
+                tree = readResTree(tree_str, strains_list=None, strains_map=strains_map, e_len=e_len, support=support)
+            else:
+                tree = readResTree(tree_str, strains_list=strains_list, strains_map=strains_map, e_len=e_len, support=support)
+            trees_list.append(tree)
+            tree_str = ""
+        else:
+            tree_str += line;
+    return trees_list
+    
\ No newline at end of file
diff --git a/src/drsoft/utils/gwamar_utils.py b/src/drsoft/utils/gwamar_utils.py
new file mode 100644
index 0000000..88c1b7b
--- /dev/null
+++ b/src/drsoft/utils/gwamar_utils.py
@@ -0,0 +1,32 @@
+import os
+from drsoft.utils.gwamar_params_utils import parameters_map
+
+def shift(textid, exp_len):
+    ret = textid
+    diff = exp_len - len(textid)
+    ret += ''.join([" "]*diff)
+    return ret;
+
+def my_split(s, seps):
+    res = [s]
+    for sep in seps:
+        s, res = res, []
+        for seq in s: res += seq.split(sep)
+    return res
+
+def ensure_dir(path):
+    if not os.path.exists(path):
+        try:
+            os.mkdir(path)
+        except:
+            pass
+
+def logExecutionTime(time_sec, comment):
+    output_dir = parameters_map["DATASET_DIR"]
+    if not os.path.exists(output_dir):
+        return None
+    output_fn = output_dir + "exec_times.log"
+    output_fh = open(output_fn, "a")
+    output_fh.write(str(time_sec) + " " + str(comment) + "\n")
+    output_fh.close()
+    return None
diff --git a/src/prebroad/prepare/p1_download_files.py b/src/prebroad/prepare/p1_download_files.py
new file mode 100644
index 0000000..fbb5830
--- /dev/null
+++ b/src/prebroad/prepare/p1_download_files.py
@@ -0,0 +1,61 @@
+import os
+import sys
+import zipfile
+import os.path
+import time
+from StringIO import StringIO
+from multiprocessing import Pool
+import multiprocessing
+try:
+    from urllib.request import urlopen
+except ImportError:
+    from urllib2 import urlopen
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_utils import *
+from drsoft.utils.gwamar_strains_io_utils import *
+
+
+if __name__ == '__main__':
+	print("p1_download_files.py. Start.")
+	print("Downloading files...")
+	parameters = overwriteParameters(sys.argv)
+	parameters = readParameters()
+    
+	input_dir = parameters["PREBROAD_DIR"]
+	input_download_dir = parameters["PREBROAD_DOWNLOAD_DIR"]
+	ensure_dir(input_dir)
+	ensure_dir(input_download_dir)
+
+	www = "http://www.broadinstitute.org/annotation/genome/mtb_drug_resistance.1/assets/GTBDR_120516.snps.zip"
+	output_fn = input_download_dir + "GTBDR_120516.snps.zip"
+	if not os.path.exists(output_fn):
+		f = open(output_fn,'wb')
+		f.write(urlopen(www).read())
+		f.close()
+		print("Downloaded file with mutations.")
+	else:
+		print("File with mutations is already downloaded.")
+
+	zfile = zipfile.ZipFile(output_fn)
+	for name in zfile.namelist():
+		(dirname, filename) = os.path.split(name)
+		fulldir = input_download_dir#+"/"+dirname
+		print "Decompressing " + filename + " on " + fulldir
+		if not os.path.exists(fulldir):
+			os.makedirs(fulldir)
+		zfile.extract(name, fulldir)
+
+	www = "http://www.broadinstitute.org/annotation/genome/mtb_drug_resistance.1/assets/GTBDR_120516.drugresistance.csv"
+	output_fn = input_download_dir + "GTBDR_120516.drugresistance.csv"
+	if not os.path.exists(output_fn):
+		
+		f = open(output_fn,'wb')
+		f.write(urlopen(www).read())
+		f.close()
+		print("File with resistance information.")
+	else:
+		print("File with resistance information is already downloaded.")
+	print("p1_download_files.py. Files downloaded.")
diff --git a/src/prebroad/prepare/p2_save_strains.py b/src/prebroad/prepare/p2_save_strains.py
new file mode 100644
index 0000000..bc3c118
--- /dev/null
+++ b/src/prebroad/prepare/p2_save_strains.py
@@ -0,0 +1,39 @@
+import os
+import sys
+import filecmp
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_utils import *
+from drsoft.utils.gwamar_strains_io_utils import *
+
+
+if __name__ == '__main__':
+    print("p2_save_strains.py. Start.")
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+  
+    input_dir = parameters["PREBROAD_DIR"]
+    input_download_dir = parameters["PREBROAD_DOWNLOAD_DIR"]
+    output_dir = parameters["PREBROAD_OUTPUT_DIR"]
+    ensure_dir(input_dir)
+    ensure_dir(input_download_dir)
+    ensure_dir(output_dir)
+
+    strain_list = []
+    
+    input_fn = input_download_dir + "/GTBDR_120516.drugresistance.csv"
+    input_fh = open(input_fn)
+    for line in input_fh.readlines()[1:]:
+        tokens = line.split()
+        if len(tokens) > 0:
+            strain_list.append(tokens[0])
+    input_fh.close()
+
+    output_fh = open(output_dir + "/strains.txt", "w")
+    for strain_id in strain_list:
+        output_fh.write(strain_id + "\n")
+    output_fh.close()
+    print("p2_save_strains.py. Finished.")
+    
\ No newline at end of file
diff --git a/src/prebroad/prepare/p3_save_resdata.py b/src/prebroad/prepare/p3_save_resdata.py
new file mode 100644
index 0000000..c7f3186
--- /dev/null
+++ b/src/prebroad/prepare/p3_save_resdata.py
@@ -0,0 +1,83 @@
+import os
+import sys
+import filecmp
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_utils import *
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_strains_io_utils import *
+from drsoft.structs.resistance_profile import ResistanceProfile
+
+def readResProfilesFromTable(input_fh):
+    res_profiles_list = []
+
+    lines = input_fh.readlines()
+    line0 = lines[0]
+    tokens = line0.split()
+    drug_names = tokens[1:]
+    
+    res_profiles_map = {}
+    for drug_name_tmp in drug_names:
+        drug_name = drug_names_map.get(drug_name_tmp, drug_name_tmp)
+        res_profile = ResistanceProfile(drug_name, strains.count())
+        res_profiles_map[drug_name] = res_profile
+        
+    for line in lines[1:]:
+        line = line.strip()
+        tokens_tmp = line.split()
+        if not len(tokens_tmp) == len(drug_names) + 1:
+            tokens_tmp = line.split("\t")
+        strain_id = tokens_tmp[0]
+        strain_index = strains.getPosition(strain_id)
+        res_tokens = tokens_tmp[1:]
+   #     print(strain_id, strain_index, res_tokens)
+        
+        for i in range(len(res_tokens)):
+            drug_name_tmp = drug_names[i]
+            drug_name = drug_names_map.get(drug_name_tmp, drug_name_tmp)
+            res_type_tmp = res_tokens[i].upper()
+            res_profile = res_profiles_map[drug_name]
+            if res_type_tmp == "": res_type_tmp = "?"
+            elif res_type_tmp == "U": res_type_tmp = "?"
+            elif res_type_tmp == "?": res_type_tmp = "?"
+                
+            res_profile.full_profile[strain_index] = res_type_tmp
+
+    return res_profiles_map
+
+if __name__ == '__main__':
+    print("p3_save_resdata.py. Start.")
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    input_dir = parameters["PREBROAD_DIR"]
+    input_download_dir = parameters["PREBROAD_DOWNLOAD_DIR"]
+    output_dir = parameters["PREBROAD_OUTPUT_DIR"]
+
+    input_fh = open(output_dir + "/strains.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+
+    strains_list = strains.allStrains()
+    
+    drug_names_map = {}
+    input_fh = open(input_download_dir + "GTBDR_120516.drugresistance.csv")
+    lines = input_fh.readlines()
+    input_fh.close()
+    line0 = lines[0]
+
+    tokens = line0.split()
+    
+    input_fh = open(input_download_dir + "GTBDR_120516.drugresistance.csv")
+    res_profiles_map = readResProfilesFromTable(input_fh)
+    input_fh.close()
+
+    res_profiles_list = list(res_profiles_map.values())
+    
+    output_fh = open(output_dir + "/res_profiles_ret.txt", "w")
+    saveResistanceProfiles(output_fh, res_profiles_list, strains_list, compress=True, header=True)
+    output_fh.close()
+
+    print("p3_save_resdata.py. Finished.")
diff --git a/src/prebroad/prepare/p4_combine_resistance_profiles.py b/src/prebroad/prepare/p4_combine_resistance_profiles.py
new file mode 100644
index 0000000..dafd6de
--- /dev/null
+++ b/src/prebroad/prepare/p4_combine_resistance_profiles.py
@@ -0,0 +1,89 @@
+import os
+import sys
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_utils import *
+from drsoft.utils.gwamar_res_io_utils import *
+from drsoft.utils.gwamar_strains_io_utils import *
+from drsoft.structs.resistance_profile import ResistanceProfile
+
+profile_clusters = {
+"Fluoroquinolones":["Gatifloxacin","Ofloxacin","Moxifloxacin","Levofloxacin","Ciprofloxacin"],
+"Aminoglycosides":["Amikacin","Kanamycin","Capreomycin"],
+"Rifampicin":["Rifampicin","Rifabutin"]
+ }  
+
+if __name__ == '__main__':
+    print("p4_combine_resistance_profiles.py. Start.")
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    input_dir = parameters["PREBROAD_DIR"]
+    output_dir = parameters["PREBROAD_OUTPUT_DIR"]
+
+    input_fh = open(output_dir + "/strains.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+    
+    strains_list = strains.allStrains()
+    k = len(strains_list)
+    
+    input_fh = open(output_dir + "/res_profiles_ret.txt")
+    res_profiles = readResistanceProfiles(input_fh, strains_list=strains.allStrains(), load_int=True)
+    input_fh.close()
+    
+
+    res_profiles_map = {}
+    for drp in res_profiles: res_profiles_map[drp.drug_name] = drp
+
+    print(res_profiles_map.keys())
+    res_profiles_comb = []
+
+    for cluster_id in profile_clusters:
+        cluster_drp = ResistanceProfile(cluster_id, count = k)
+
+        for drug_name in profile_clusters[cluster_id]:
+            drp = res_profiles_map.get(drug_name, None)
+            if drp!= None:
+                print(''.join(drp.full_profile), drug_name)
+
+        for i in range(k):
+            res_count = 0
+            int_count = 0
+            susc_count = 0
+            for drug_name in profile_clusters[cluster_id]:
+                drp = res_profiles_map.get(drug_name, None)
+
+                if drp != None:
+
+                    if drp.full_profile[i] == "R": res_count += 1
+                    elif drp.full_profile[i] == "I": int_count += 1
+                    elif drp.full_profile[i] == "S": susc_count += 1
+
+            if res_count > 0 and susc_count >0:
+              #  print("conflict", cluster_id, profile_clusters[cluster_id], i, strains_list[i], susc_count, int_count, res_count)
+                cluster_drp.changeState(i, "?")
+            elif res_count >= 1 and susc_count == 0:
+                cluster_drp.changeState(i, "R")
+            elif res_count == 0 and susc_count >= 1:
+                cluster_drp.changeState(i, "S")
+            elif res_count == 0 and susc_count == 0 and int_count >=1:
+                cluster_drp.changeState(i, "I")
+            else:
+                cluster_drp.changeState(i, "?")
+        print(''.join(cluster_drp.full_profile), cluster_drp.drug_name)
+        res_profiles_comb.append(cluster_drp)
+
+    for drp in res_profiles_comb:
+        drp.computeResSets()
+        print(drp.drug_name, len(drp.getKnown()))
+
+  #  for drp in 
+
+    output_fh = open(output_dir + "/res_profiles.txt", "w")
+    saveResistanceProfiles(output_fh, res_profiles_comb, strains_list, compress=True)
+    output_fh.close()
+#    
+    print("p4_combine_resistance_profiles.py. Finished.")
diff --git a/src/prebroad/prepare/p5_save_point_mutations_aa.py b/src/prebroad/prepare/p5_save_point_mutations_aa.py
new file mode 100644
index 0000000..ae36210
--- /dev/null
+++ b/src/prebroad/prepare/p5_save_point_mutations_aa.py
@@ -0,0 +1,127 @@
+import sys
+import os
+import copy
+from multiprocessing import Pool
+import multiprocessing
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_utils import *
+from drsoft.utils.gwamar_muts_io_utils import *
+from drsoft.utils.gwamar_strains_io_utils import *
+from drsoft.structs.resistance_profile import ResistanceProfile
+
+if __name__ == '__main__':
+    print("p5_save_point_mutations_aa.py. Start.")
+
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    input_dir = parameters["PREBROAD_DIR"]
+    input_download_dir = parameters["PREBROAD_DOWNLOAD_DIR"]
+    output_dir = parameters["PREBROAD_OUTPUT_DIR"]
+
+    input_fh = open(output_dir + "/strains.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+
+    gene_anns = {}
+    # input_fh = open(input_dir + "/ref_annotation.txt")
+    # gene_anns = readRefAnns(input_fh)
+    # input_fh.close()
+     
+    strains_list = strains.strain_ids
+    
+    mutations_map = {}
+    ref_states = {}
+    ref_states_strain = {}
+    gene_names = {}
+    
+    for strain_id in strains_list:
+        input_fh = open(input_download_dir + "/" + strain_id + "/" + strain_id + ".snps.annotated")
+        for line in input_fh.readlines():
+            line = line.strip()
+            tokens = line.split("\t")
+            ref_strain = tokens[0]
+            gene_id = tokens[1]
+            if gene_id == "Rv2427Ac":
+                gene_id = "Rv2427c"
+            gene_name_org = tokens[2]
+
+            md_tokens = tokens[3].split("_")
+            mut_type = md_tokens[1]
+            ref_position = int(md_tokens[2])
+
+            if gene_name_org.startswith("promoter_"): gene_name = gene_name_org[len("promoter_"):]
+            else: gene_name = gene_name_org
+
+            if gene_name == "rpsL": gene_id = "Rv0682"
+            elif gene_name == "embA-embB": gene_id = "Rv3794"
+            elif gene_name == "fabG1-inhA": gene_id = "Rv1483"
+            elif gene_name == "gyrB-gyrA": gene_id = "Rv0005"
+            elif gene_name == "iniB-iniA-iniC": gene_id = "Rv0341"
+            elif gene_name == "pncA": gene_id = "Rv2043c"
+            elif gene_name == "ethA": gene_id = "Rv3854c"
+            elif gene_name == "ahpC": gene_id = "Rv2428"
+            elif gene_name == "thyA": gene_id = "Rv2764c"
+            elif gene_name == "gid": gene_id = "Rv3919c"
+            elif gene_name == "rpoB": gene_id = "Rv0667"
+            elif gene_name == "ndh": gene_id = "Rv1854c"
+            
+            #print(gene_name_org, gene_name, gene_id)
+
+            if gene_name_org.startswith("promoter_"):            
+                nuc1 = md_tokens[3][0]
+                nuc2 = md_tokens[3][-1]
+                if len(md_tokens[3]) > 2: position = int(md_tokens[3][1:-1])
+                else: position = 0
+                ref_state = nuc1
+                new_state = nuc2
+                
+            elif len(md_tokens) == 6:
+                nuc1 = md_tokens[3][0]
+                nuc2 = md_tokens[3][1]
+            
+                aa1 = md_tokens[5][0]
+                aa2 = md_tokens[5][-1]
+                
+                position_aa = int(md_tokens[5][1:-1])
+                position = position_aa
+        
+                ref_state = aa1
+                new_state = aa2
+                
+            elif len(md_tokens) == 5:
+                nuc1 = md_tokens[3][0]
+                nuc2 = md_tokens[3][-1]
+                position = int(md_tokens[3][1:-1])
+                
+                ref_state = nuc1
+                new_state = nuc2
+            
+            if len(gene_id) <= 1:
+                print("ZLE", gene_id, gene_name, line)
+        
+            if not gene_id in gene_names: gene_names[gene_id] = gene_name
+            if not gene_id in mutations_map: mutations_map[gene_id] = {}
+            if not (gene_id, position) in ref_states:
+                ref_states[(gene_id, position)] = ref_state
+                ref_states_strain[(gene_id, position)] = (ref_state, strain_id)
+            else:
+                ref_state_old = ref_states[(gene_id, position)]
+                if ref_state_old !=  ref_state:
+                    print("JUZ JEST INNY!", ref_state, ref_state_old, gene_id, position, strain_id, ref_states_strain[(gene_id, position)])
+                
+            if not position in mutations_map[gene_id]: mutations_map[gene_id][position] = {}
+            mutations_map[gene_id][position][strain_id] = (new_state, mut_type)
+            if new_state == "*" and gene_id == "Rv0667":
+                print(strain_id, gene_id, position)
+
+        input_fh.close()
+            
+    output_fh = open(output_dir + "/point_mutations.txt", "w")
+    savePointMutations(output_fh, mutations_map, gene_names, gene_anns, ref_states, strains_list, compress=True)
+    output_fh.close()        
+
+    print("p5_save_point_mutations_aa.py. Finished.")
diff --git a/src/prebroad/tree/__init__.py b/src/prebroad/tree/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/src/prebroad/tree/t0_save_point_mutations_nt.py b/src/prebroad/tree/t0_save_point_mutations_nt.py
new file mode 100644
index 0000000..7048d76
--- /dev/null
+++ b/src/prebroad/tree/t0_save_point_mutations_nt.py
@@ -0,0 +1,144 @@
+import sys
+import os
+import copy
+from multiprocessing import Pool
+import multiprocessing
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_utils import *
+from drsoft.utils.gwamar_muts_io_utils import *
+from drsoft.utils.gwamar_strains_io_utils import *
+from drsoft.structs.resistance_profile import ResistanceProfile
+
+if __name__ == '__main__':
+    print("t0_save_point_mutations_nt.py. Start.")
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    input_dir = parameters["PREBROAD_DIR"]
+    input_download_dir = parameters["PREBROAD_DOWNLOAD_DIR"]
+    output_dir = parameters["PREBROAD_OUTPUT_DIR"]
+
+    input_fh = open(output_dir + "/strains.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+
+    snps_dir = parameters["PREBROAD_DOWNLOAD_DIR"]
+    phylo_dir = parameters["PREBROAD_TREE_DIR"]
+    
+    ensure_dir(phylo_dir)
+    gene_anns = {}
+
+    # input_fh = open(input_dir + "/ref_annotation.txt")
+    # gene_anns = readRefAnns(input_fh)
+    # input_fh.close()
+    
+    # print(gene_anns.keys())
+    
+    strains_list = strains.strain_ids
+    
+    mutations_map = {}
+    ref_states = {}
+    ref_states_strain = {}
+    gene_names = {}
+    
+    for strain_id in strains_list:
+        input_fh = open(snps_dir + strain_id + "/" + strain_id + ".snps.annotated")
+        for line in input_fh.readlines():
+            line = line.strip()
+            tokens = line.split("\t")
+            ref_strain = tokens[0]
+            gene_id = tokens[1]
+            if gene_id == "Rv2427Ac":
+                gene_id = "Rv2427c"
+            gene_name_org = tokens[2]
+
+            md_tokens = tokens[3].split("_")
+            mut_type = md_tokens[1]
+            ref_position = int(md_tokens[2])
+
+            if gene_name_org.startswith("promoter_"): gene_name = gene_name_org[len("promoter_"):]
+            else: gene_name = gene_name_org
+
+            if gene_name == "rpsL": gene_id = "Rv0682"
+            elif gene_name == "embA-embB": gene_id = "Rv3794"
+            elif gene_name == "fabG1-inhA": gene_id = "Rv1483"
+            elif gene_name == "gyrB-gyrA": gene_id = "Rv0005"
+            elif gene_name == "iniB-iniA-iniC": gene_id = "Rv0341"
+            elif gene_name == "pncA": gene_id = "Rv2043c"
+            elif gene_name == "ethA": gene_id = "Rv3854c"
+            elif gene_name == "ahpC": gene_id = "Rv2428"
+            elif gene_name == "thyA": gene_id = "Rv2764c"
+            elif gene_name == "gid": gene_id = "Rv3919c"
+            elif gene_name == "rpoB": gene_id = "Rv0667"
+            elif gene_name == "ndh": gene_id = "Rv1854c"
+            
+            #print(gene_name_org, gene_name, gene_id)
+
+            if gene_name_org.startswith("promoter_"):            
+                nuc1 = md_tokens[3][0]
+                nuc2 = md_tokens[3][len(md_tokens[3])-1]
+                if len(md_tokens[3]) > 2: position = int(md_tokens[3][1:-1])
+                else: position = 0
+                ref_state = nuc1
+                new_state = nuc2
+                
+            elif len(md_tokens) == 6:
+                nuc1 = md_tokens[3][0]
+                nuc2 = md_tokens[3][1]
+            
+                aa1 = md_tokens[5][0]
+                aa2 = md_tokens[5][-1]
+                
+                position_aa = int(md_tokens[5][1:-1])
+                position = position_aa
+        
+                ref_state = nuc1#aa1
+                new_state = nuc2#aa2
+                position_genome = int(md_tokens[2])
+                
+                if gene_id in gene_anns:
+                    end, length, strand = gene_anns[gene_id]
+                
+                    if strand == "+": position = length - (end - position_genome)
+                    else: position = length - (position_genome - end)
+                else:
+                    position = position_genome
+
+                #print(gene_id, position, end, length, strand)
+                
+            elif len(md_tokens) == 5:
+                nuc1 = md_tokens[3][0]
+                nuc2 = md_tokens[3][len(md_tokens[3])-1]
+                position = int(md_tokens[3][1:-1])
+                
+                ref_state = nuc1
+                new_state = nuc2
+            
+            if len(gene_id) <= 1:
+                print("ZLE", gene_id, gene_name, line)
+        
+            if not gene_id in gene_names: gene_names[gene_id] = gene_name
+            if not gene_id in mutations_map: mutations_map[gene_id] = {}
+            if not (gene_id, position) in ref_states:
+                ref_states[(gene_id, position)] = ref_state
+                ref_states_strain[(gene_id, position)] = (ref_state, strain_id)
+            else:
+                ref_state_old = ref_states[(gene_id, position)]
+                if ref_state_old !=  ref_state:
+                    print("JUZ JEST INNY!", ref_state, ref_state_old, gene_id, position, strain_id, ref_states_strain[(gene_id, position)])
+                
+            if not position in mutations_map[gene_id]: mutations_map[gene_id][position] = {}
+            mutations_map[gene_id][position][strain_id] = (new_state, mut_type)
+
+        input_fh.close()
+            
+    output_fh = open(phylo_dir + "/point_mutations_nt.txt", "w")
+    savePointMutations(output_fh, mutations_map, gene_names, gene_anns, ref_states, strains_list, compress=True)
+    output_fh.close()        
+
+    print("t0_save_point_mutations_nt.py. Finished.")
+    
\ No newline at end of file
diff --git a/src/prebroad/tree/t1_prepare_alignments.py b/src/prebroad/tree/t1_prepare_alignments.py
new file mode 100644
index 0000000..9902d2e
--- /dev/null
+++ b/src/prebroad/tree/t1_prepare_alignments.py
@@ -0,0 +1,164 @@
+import sys
+import os
+import copy
+from multiprocessing import Pool
+import multiprocessing
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_utils import *
+from drsoft.utils.gwamar_muts_io_utils import *
+from drsoft.utils.gwamar_strains_io_utils import *
+from drsoft.structs.resistance_profile import ResistanceProfile
+
+def savePHYLIPalignements(alns, output_fh, sorting = None):
+    if not "OUTSTRAIN" in alns:
+        if sorting == None:
+            strains_ord = list(alns)
+        else:
+            strains_ord = sorted(alns, key=sorting)
+    else:
+        if sorting == None:
+            strains_ord = ["OUTSTRAIN"] + list(set(alns.keys()) - set(["OUTSTRAIN"]))
+        else:
+            strains_ord = ["OUTSTRAIN"] + sorted(set(alns.keys()) - set(["OUTSTRAIN"]), key=sorting)
+                
+    strain_f_id = strains_ord[0]
+    aln_len = len(alns[strain_f_id])
+    output_fh.write(str(len(alns))+" " + str(aln_len) + "\n")
+    combined_lines = {}
+    for strain_id in strains_ord:
+        combined_lines[strain_id] = ""
+        
+    for i in range(0, aln_len, 50):
+        for strain_id in strains_ord:
+            if i < 50: 
+                if strain_id != "OUTSTRAIN":
+                    combined_lines[strain_id] = shift(strain_id[:10], 10) + " "
+                else:
+                    combined_lines[strain_id] = shift("OUTSTRAIN", 10) + " "
+            else:
+                combined_lines[strain_id] = shift(" ", 10) + " "
+            combined_lines[strain_id] += alns[strain_id][i:min(i+10, aln_len)] + " "
+            if i+10 > aln_len:
+                continue
+            combined_lines[strain_id] += alns[strain_id][i+10:min(i+20, aln_len)] + " "
+            if i+20 > aln_len:
+                continue
+            combined_lines[strain_id] += alns[strain_id][i+20:min(i+30, aln_len)] + " "
+            if i+30 > aln_len:
+                continue
+            combined_lines[strain_id] += alns[strain_id][i+30:min(i+40, aln_len)] + " "
+            if i+40 > aln_len:
+                continue
+            combined_lines[strain_id] += alns[strain_id][i+40:min(i+50, aln_len)] + " "
+        for strain_id in strains_ord:
+            output_fh.write(combined_lines[strain_id] + "\n")
+        output_fh.write("\n")
+        for strain_id in strains_ord:
+            combined_lines[strain_id] = ""
+    return None
+
+if __name__ == '__main__':
+    print("t1_prepare_alignments.py. Start.")
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    m_type = parameters["PREBROAD_SUB"]
+    input_download_dir = parameters["PREBROAD_DOWNLOAD_DIR"]
+    phylo_dir = parameters["PREBROAD_TREE_DIR"]
+    input_dir = parameters["PREBROAD_OUTPUT_DIR"]
+    
+    if os.path.exists(input_dir + "/cluster_gene_ref_ids.txt"):
+        cluster_fh = open(input_dir + "/cluster_gene_ref_ids.txt")
+        cluster_ids, cluster_ids_rev = readClusterGeneIDs(cluster_fh)
+        cluster_fh.close()
+    else:
+        cluster_ids = {} 
+        cluster_ids_rev = {}
+        
+    input_fh = open(input_dir + "/strains.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+        
+    input_fh = open(phylo_dir + "point_mutations_nt.txt")
+    gene_profiles = readPointMutations(input_fh, cluster_ids, cluster_ids_rev, gene_subset=None, m_type="a")
+    input_fh.close()
+    
+    mutations_seqs = [""]*strains.count()
+    
+    for gene_id in sorted(gene_profiles):
+        gp = gene_profiles[gene_id]
+        if m_type == "sub":
+            if gp.gene_id in ["Rv0006", "Rv0667", "Rv0682", "Rv1908c", "Rv3795", "Rvnr01", "Rvnr02"]: 
+                continue
+        
+        for m_pos in sorted(gp.mutations):
+            mutation = gp.mutations[m_pos]
+            fp = mutation.full_profile
+
+            nuc_counts = {}
+            for i in range(strains.count()):
+                state = fp[i]         
+            
+                if not state in nuc_counts: nuc_counts[state] = 0
+                nuc_counts[state] += 1
+            
+            if len(nuc_counts) != 2: continue
+            
+            count_diff = 0
+            for nuc in nuc_counts:
+                if nuc_counts[nuc] >= 2:
+                    count_diff += 1
+                    
+            if count_diff == 2:
+                for i in range(strains.count()):
+                    mutations_seqs[i] += fp[i]
+    
+    mutations_map = {}
+    for i in range(strains.count()):
+        strain_id = strains.getStrain(i)
+        mutations_map[strain_id] = mutations_seqs[i]
+    
+    output_fh = open(phylo_dir + 'alignment_'+m_type+'.txt', "w");
+    savePHYLIPalignements(mutations_map, output_fh, sorting = lambda strain_id:strain_id)
+    output_fh.close()
+    
+    mutations_cluster_map = {}
+    
+    cluster_ids = {}
+    cluster_ids_rev = {}
+    cluster_seqs = {}
+    cluster_seqs_rev = {}
+    
+    cluster_id = 0
+    for strain_id in mutations_map:
+        seq = mutations_map[strain_id]
+        if seq in cluster_seqs_rev:
+            cluster_id_ex = cluster_seqs_rev[seq]
+            cluster_ids_rev[strain_id] = cluster_seqs_rev[seq]
+            cluster_ids[cluster_id_ex].add(strain_id)
+        else:
+            cluster_id += 1
+            cluster_seqs_rev[seq] = cluster_id
+            cluster_ids_rev[strain_id] = cluster_id
+            cluster_ids[cluster_id] = set([strain_id])
+            cluster_seqs["c"+str(cluster_id)] = seq
+            
+    output_fh = open(phylo_dir + 'alignment_cluster_'+m_type+'.txt', "w");
+    savePHYLIPalignements(cluster_seqs, output_fh, sorting = lambda cluster_id_str:int(cluster_id_str[1:]))
+    output_fh.close()
+
+    output_fh = open(phylo_dir + 'clusters_map_'+m_type+'.txt', "w");
+    for cluster_id in sorted(cluster_ids):
+        text_line = "c" + str(cluster_id) + "\t"
+        for strain_id in cluster_ids[cluster_id]:
+            text_line += strain_id + " "
+        text_line = text_line[:-1] + "\n"
+        output_fh.write(text_line)
+    output_fh.close()
+
+    print("t1_prepare_alignments.py. Finished.")
+    
\ No newline at end of file
diff --git a/src/prebroad/tree/t2_compute_subset_tree.py b/src/prebroad/tree/t2_compute_subset_tree.py
new file mode 100644
index 0000000..bb8d835
--- /dev/null
+++ b/src/prebroad/tree/t2_compute_subset_tree.py
@@ -0,0 +1,221 @@
+import sys
+import os
+import copy
+import shutil
+from multiprocessing import Pool
+import multiprocessing
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_utils import *
+from drsoft.utils.gwamar_muts_io_utils import *
+from drsoft.utils.gwamar_strains_io_utils import *
+from drsoft.structs.resistance_profile import ResistanceProfile
+
+def ensure_rem(filename):
+    if os.path.exists(filename):
+        os.remove(filename)
+
+def ensure_rem(filename):
+    if os.path.exists(filename):
+        os.remove(filename)
+
+def computeTreePHYLIP(phylip_path, phylip_exe, input_fn, output_fn, sufix = "_phylip"):
+    abs_phylip_path = phylip_path
+    if not os.path.exists(abs_phylip_path):
+        print("Cannot find PHYLIP at this path: " + abs_phylip_path)
+        sys.exit(-1)
+    outtree_fn = "outtree"+sufix
+    outfile_fn = "outfile"+sufix
+    tmpfile_fn = "tmpfile"+sufix
+    os.chdir(phylip_path)   
+    ensure_rem(outfile_fn)
+    ensure_rem(outtree_fn)
+    tmp_fn = tmpfile_fn
+    tmp_fh = open(tmp_fn, "w")
+    tmp_fh.write(input_fn + "\n")
+    tmp_fh.write("F" + "\n")
+    tmp_fh.write(outfile_fn + "\n")
+    tmp_fh.write("Y" + "\n")
+    tmp_fh.write("F" + "\n")
+    tmp_fh.write(outtree_fn + "\n")
+    tmp_fh.close()
+    if platform.system().count("WIN") > 0:
+        os.system(abs_phylip_path + "dnamlk < " + tmp_fn)
+    else:
+        os.system(abs_phylip_path + "/dnamlk < " + tmp_fn)
+
+    os.rename(outtree_fn, output_fn)
+
+def computeTreePHYML(phyml_path, phyml_exe, input_fn, output_fn, sufix = "_phyml"):
+    phyml_path = os.path.abspath(phyml_path)
+    if not os.path.exists(phyml_path):
+        print("Cannot find PHYML at this path: " + phyml_path)
+        sys.exit(-1)
+    os.chdir(phyml_path)
+
+
+    input_tmp = "aln.txt"
+    ensure_rem(input_tmp)
+
+    shutil.copy2(input_fn, input_tmp)
+
+    output1_fn = input_fn + "_phyml_stats.txt"
+    ensure_rem(output1_fn)
+    output2_fn = input_fn + "_phyml_tree.txt"
+    ensure_rem(output2_fn)
+    output_tmp = input_tmp + "_phyml_tree.txt"
+
+    command = phyml_exe
+    command += " -o n "
+    command += "-i " + input_tmp
+    os.system(command)
+    os.rename(output_tmp, output_fn)
+    return None
+
+def computeConsensusRAXML(raxml_path, raxml_exe, output_fn,sufix = "TEST",raxml_type="MRE"):
+    raxml_path = os.path.abspath(raxml_path)
+    if not os.path.exists(raxml_path):
+        print("Cannot find RAxML at this path: " + raxml_path)
+        sys.exit(-1)
+    os.chdir(raxml_path)
+    
+    output1_fn = "RAxML_info."+sufix+"2"
+    ensure_rem(output1_fn)
+
+    raxml_type = raxml_type.upper()
+    if raxml_type == "MRE":
+        output2_fn = "RAxML_MajorityRuleExtendedConsensusTree."+sufix+"2"
+    elif raxml_type == "MR":
+        output2_fn = "RAxML_MajorityRuleConsensusTree."+sufix+"2"
+    elif raxml_type == "STRICT":
+        output2_fn = "RAxML_StrictConsensusTree."+sufix+"2"
+    else:
+        output2_fn = "RAxML_MajorityRuleExtendedConsensusTree."+sufix+"2"
+    ensure_rem(output2_fn)
+
+    command = raxml_exe
+    command += " -J "+raxml_type+" -z RAxML_bootstrap."+sufix +" -m GTRGAMMA -p 12345 -n "+sufix+"2"
+    command += " -T " +str(2)
+
+    print(command)
+    os.system(command)
+
+    print("h1", output2_fn)
+    print("h2", output_fn)
+    os.rename(output2_fn, output_fn)
+    return None
+
+
+def computeTreeRAXML(raxml_path, raxml_exe, input_fn, sufix="TEST", raxml_rep=100):
+    raxml_path = os.path.abspath(raxml_path)
+    if not os.path.exists(raxml_path):
+        print("Cannot find RAxML at this path: " + raxml_path)
+        sys.exit(-1)
+    os.chdir(raxml_path)
+    
+    input_tmp = "aln.txt"
+    ensure_rem(input_tmp)
+
+    if raxml_exe.lower().count("threads") == 1:
+        threads = min(multiprocessing.cpu_count(), 4)
+    else:
+        threads = 1
+
+    shutil.copy2(input_fn, input_tmp)
+
+    output1_fn = "RAxML_info."+sufix
+    ensure_rem(output1_fn)
+
+    output2_fn = "RAxML_bootstrap."+sufix
+    ensure_rem(output2_fn)
+
+    command = raxml_exe
+    command += " -x 12345 -p 12345 -N "+str(raxml_rep)+" -m GTRGAMMA "
+    if threads>1:
+        command += "-T " +str(threads)
+    command += " -s " + input_tmp +" -n "+ sufix
+    os.system(command)
+    return None
+
+def computeTreePROML(input_fn, outfile_fn, outtree_fn, sufix = ""):
+    if platform.system().count("WIN") > 0:
+        phylip_path = "C:/Users/workshop/Dropbox/camber/phylip/exe"
+        if platform.system().upper().count("CYGWIN") > 0:
+            input_fn.replace("/cygdrive/c/", "C:/")
+            outfile_fn.replace("/cygdrive/c/", "C:/")
+            outtree_fn.replace("/cygdrive/c/", "C:/")
+            abs_phylip_path = phylip_path        
+    else:    
+        phylip_path = "/home/misias/phylip/exe/"
+        abs_phylip_path = os.path.abspath(phylip_path)
+    os.chdir(phylip_path)
+    ensure_rem(outfile_fn)
+    ensure_rem(outtree_fn) 
+    print(os.path.curdir, abs_phylip_path)
+    print(input_fn)
+    print(outfile_fn)
+    print(outtree_fn)
+    tmp_fn = "tmpfile" + sufix
+    tmp_fh = open(tmp_fn, "w")
+    tmp_fh.write(input_fn + "\n")
+    tmp_fh.write("F" + "\n")
+    tmp_fh.write(outfile_fn + "\n")
+    tmp_fh.write("Y" + "\n")
+    tmp_fh.write("F" + "\n")
+    tmp_fh.write(outtree_fn + "\n")
+    tmp_fh.close()
+    if platform.system().count("dows") > 0:
+        os.system("promlk < " + tmp_fn)
+    else:
+        os.system(abs_phylip_path + "/promlk < " + tmp_fn)
+
+    return None
+
+if __name__ == '__main__':
+    print("t2_compute_subset_tree.py. Start.")
+
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    input_download_dir = parameters["PREBROAD_DOWNLOAD_DIR"]
+    phylo_dir = parameters["PREBROAD_TREE_DIR"]
+    input_dir = parameters["PREBROAD_OUTPUT_DIR"]
+    m_type = parameters["PREBROAD_SUB"]
+    phylip_path = parameters["PHYLIP_PATH"]
+    tree_soft = parameters.get("TREE_SOFT", "PHYML")
+
+    input_fh = open(input_dir + "/strains.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+
+    strains_ord = sorted(strains.allStrains())
+    
+    input_fn = phylo_dir + 'alignment_cluster_'+m_type+'.txt'
+    output_fn = phylo_dir + 'tree_raw_'+tree_soft.lower()+".txt"
+
+
+    if tree_soft.upper() == "RAXML":
+        raxml_type = parameters.get("RAXML_TYPE", "MRE")
+        raxml_rep = parameters.get("RAXML_REP","100")
+
+        raxml_path = parameters["RAXML_PATH"]
+        raxml_exe = parameters["RAXML_EXE"]
+
+        computeTreeRAXML(raxml_path, raxml_exe, input_fn, raxml_rep=raxml_rep)
+        computeConsensusRAXML(raxml_path, raxml_exe, output_fn,raxml_type=raxml_type)
+    elif tree_soft.upper() == "PHYML":
+        phyml_path = parameters["PHYML_PATH"]
+        phyml_exe = parameters["PHYML_EXE"]
+        computeTreePHYML(phyml_path, phyml_exe, input_fn, output_fn)
+    elif tree_soft.upper() == "PHYLIP":
+        phylip_path = parameters["PHYLIP_PATH"]
+        phylip_exe = parameters["PHYLIP_EXE"]
+        computeTreePHYLIP(phylip_path, phylip_exe, input_fn, output_fn)
+    else:
+        print("Unsupported phylogeny software: " + tree_soft)
+
+    print("t2_compute_subset_tree.py. Finished.")
+
+
diff --git a/src/prebroad/tree/t3_resolve_clusters.py b/src/prebroad/tree/t3_resolve_clusters.py
new file mode 100644
index 0000000..7e9eb91
--- /dev/null
+++ b/src/prebroad/tree/t3_resolve_clusters.py
@@ -0,0 +1,72 @@
+import sys
+import os
+import copy
+import time
+from collections import deque
+from StringIO import StringIO
+from multiprocessing import Pool
+import multiprocessing
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_utils import *
+from drsoft.utils.gwamar_muts_io_utils import *
+from drsoft.utils.gwamar_tree_io_utils import *
+from drsoft.utils.gwamar_strains_io_utils import *
+from drsoft.structs.resistance_profile import ResistanceProfile
+
+thr = 0.000000001
+
+def transformTree(tree, clusters_map):
+    for leaf_node in tree.root.getLeaves():
+        strains_tmp = list(clusters_map[leaf_node.label].split(" "))
+        if len(strains_tmp) == 1:
+            leaf_node.label = strains_tmp[0]
+            leaf_node.node_id = strains_tmp[0]
+        else:
+            for strain_id in strains_tmp:
+                new_leaf = PhyloTreeNode(strain_id)
+                new_leaf.e_len = 0.00001
+                new_leaf.label = strain_id
+                leaf_node.addChild(new_leaf)
+    return tree
+
+if __name__ == '__main__':
+    print("t3_resolve_clusters.py. Start.")
+    
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    m_type = parameters["PREBROAD_SUB"]
+    phylo_dir = parameters["PREBROAD_TREE_DIR"]
+    input_dir = parameters["PREBROAD_OUTPUT_DIR"]
+    
+    tree_soft = parameters["TREE_SOFT"]
+
+    print(tree_soft)
+
+    cluster_strains = []
+    clusters_map = {}
+    input_fh = open(phylo_dir + "/clusters_map_all.txt")
+    for line in input_fh.readlines():
+        tokens = line.strip().split("\t")
+        clusters_map[tokens[0]] = tokens[1].replace(" ", ",")
+        cluster_strains.append(tokens[0])
+    input_fh.close()
+    
+    input_fn = phylo_dir + 'tree_raw_'+tree_soft.lower()+".txt"
+    output_fn = phylo_dir + 'tree'+tree_soft.upper()+".txt"
+    input_fh = open(input_fn)
+    output_fh = open(output_fn, "w")
+    trees = readPhyloTrees(input_fh, strains_list=cluster_strains, strains_map = {})
+    tree = trees[0]
+    tree = transformTree(tree, clusters_map)
+    flat_tree = tree.flatten(thr)
+    text_line = flat_tree.toString(lengths=False, strains=None, int_labels=False) + ";\n"
+    output_fh.write(text_line);
+    output_fh.close();
+    input_fh.close()
+
+    print("t3_resolve_clusters.py. Finished.")
+    
\ No newline at end of file
diff --git a/src/prebroad/tree/t4_save_strains_ordered.py b/src/prebroad/tree/t4_save_strains_ordered.py
new file mode 100644
index 0000000..8073124
--- /dev/null
+++ b/src/prebroad/tree/t4_save_strains_ordered.py
@@ -0,0 +1,52 @@
+import sys
+import os
+import copy
+import time
+from collections import deque
+from StringIO import StringIO
+from multiprocessing import Pool
+import multiprocessing
+
+sys.path.append("../../")
+
+from drsoft.utils.gwamar_params_utils import *
+from drsoft.utils.gwamar_utils import *
+from drsoft.utils.gwamar_muts_io_utils import *
+from drsoft.utils.gwamar_tree_io_utils import *
+from drsoft.utils.gwamar_strains_io_utils import *
+
+if __name__ == '__main__':
+    print("t4_save_strains_ordered.py. Start.")
+    parameters = overwriteParameters(sys.argv)
+    parameters = readParameters()
+    
+    phylo_dir = parameters["PREBROAD_TREE_DIR"]
+    input_dir = parameters["PREBROAD_OUTPUT_DIR"]
+  
+    input_fh = open(input_dir + "/strains.txt")
+    strains = readStrains(input_fh)
+    input_fh.close()
+
+    output_fn = input_dir + "strains_ordered.txt"
+    
+    if os.path.exists(output_fn):
+        print("File " + output_fn + " already exists. First remove it.")
+        exit()
+    
+    input_fn = input_dir + 'tree.txt'
+    
+    if os.path.exists(input_fn):
+        input_fh = open(input_fn)
+        tree_line = input_fh.readline()
+        input_fh.close()
+        strains_list = getTreeStrainList(tree_line)
+    else:
+        strains_list = strains.allStrains()
+
+    output_fh = open(output_fn, "w")
+    for strain_id in strains_list:
+        output_fh.write(strain_id + "\n")
+    output_fh.close()
+
+    print("t4_save_strains_ordered.py. Finished.")
+    
\ No newline at end of file
diff --git a/src/visR/accuracy/auc_barplots.R b/src/visR/accuracy/auc_barplots.R
new file mode 100644
index 0000000..46a8848
--- /dev/null
+++ b/src/visR/accuracy/auc_barplots.R
@@ -0,0 +1,175 @@
+#install.packages(
+require(graphics); require(grDevices);
+colors_sorted = c("darkolivegreen1", "darkolivegreen2","darkolivegreen3","brown1","brown2", "brown3")
+
+
+args <- commandArgs(trailingOnly = TRUE)
+
+if (length(args) >=1) {
+	datasets_arg = args[1]
+} else {
+	datasets_arg = "mtu173,mtu_broad"
+}
+
+if (length(args) >= 2) {
+	mut_type = args[2]
+} else {
+	mut_type = "P"
+}
+
+if (length(args) >= 3) {
+	subsets_arg = args[3]
+} else {
+	subsets_arg = "s3_1000"
+}
+
+if (length(args) >= 4) {
+	prefix = args[4]
+} else {
+	if (Sys.info()["sysname"] == "Linux") {
+		prefix = "/home/misias/gwamar/"
+	} else {
+		prefix = "D:/Dropbox/gwamar/"
+	}
+}
+
+if (length(args) >= 5) {
+	scores_arg = args[5]
+} else {
+	scores_arg = "mi,or,lh,ws,r-tgh"
+}
+
+scores_sel = strsplit(scores_arg, "[,]")[[1]]
+#scores_arg = gsub("+", ".", scores_arg, fixed=T)
+
+if (length(args) >= 6) {
+	stats_arg = args[6]
+} else {
+	stats_arg = "auc"
+}
+
+scoreNameAndColor <- function(score) {
+	score_full = score
+	if (score == "mi") {
+		score_full = "MI";
+		score_color = "darkolivegreen1"
+	} else if (score == "or") {
+		score_full = "OR";
+		score_color = "darkolivegreen2"
+	} else if (score == "lh") {
+		score_full = "H";
+		score_color = "darkolivegreen3"
+	} else if(score == "mi+or+lh") {
+		score_full = "RBM(MI,OR,H)"
+		score_color = "darkolivegreen4"
+	} else if (score %in% c("r-tgh","r.tgh")) {
+		score_full = "TGH"
+		score_color = "cyan"
+	} else if (score == "ws"){
+		score_full = "WS"
+		score_color = "cyan1"
+ 	} else if(score == "ws+r-tgh") {
+		score_full = "RBM(WS,TGH)"
+		score_color = "cyan3"
+	} else if(grepl("+", score_full, fixed=T)) {
+		score_full = "RBM(ALL)"
+		score_color = "cyan4"
+	} else if(score == "TS") {
+		score_full = "tree score"
+		score_color = "cyan4"
+	} else if (score %in% c("r-tgh_yPHYML","r.tgh_yPHYML")) {
+		score_full = "TGH"
+		score_color = "cyan4"
+	} else if (score == "ws_yPHYML") {
+		score_full = "WS"
+		score_color = "cyan4"
+	}
+	return (list(score_full, score_color));
+}
+
+datasets = strsplit(datasets_arg, "[,]")[[1]]
+subsets = strsplit(subsets_arg, "[,]")[[1]]
+stats = strsplit(stats_arg, "[,]")[[1]]
+
+rows_count = length(subsets)
+cols_count = length(datasets)
+
+outdir = paste(prefix, "figures/", sep="")
+dir.create(outdir, showWarnings = FALSE)
+
+time_str = format(Sys.time(), "%Y-%m-%d_%H-%M-%S")
+
+output_fn = paste(outdir, "/auc_bars_", time_str, ".pdf", sep="")
+pdf(output_fn, width=18, height=7*length(stats)*length(subsets))
+par(mfrow=c(rows_count,cols_count), las=2, mar=c(11,6,2,1))
+
+for (stat in stats) {
+	for (subset in subsets) {
+		for (dataset in datasets) {
+
+			input_fn = paste(prefix, "datasets/", dataset, "/ex", mut_type, "/comparison/stats/", subset, "/",stat,".txt", sep="")
+
+			if (file.exists(input_fn)){
+				data = read.table(input_fn, header=TRUE, sep="\t")
+
+				input_data_pn = paste(prefix,"datasets/", dataset, "/ex",mut_type,"/comparison/stats/", subset, "/stats_pn.txt", sep="")
+				data_pn = read.table(input_data_pn, header=TRUE, sep="\t")
+				positives = data_pn[,"ps"]
+				negatives = data_pn[,"ns"]
+
+				#main_txt = paste("AUC barplots; ", subset, ",",dataset, " dataset; positives: ", toString(positives), "; negatives: " , toString(negatives), sep="")
+				main_txt = paste("Barplots for AUC; ",dataset, "; positives: ", toString(positives), "; negatives: " , toString(negatives), sep="")
+
+				cnames = colnames(data)
+
+				cnames_int_full = c()
+				cnames_int = c()
+				score_colors = c()
+
+				for (cname_tmp in scores_sel) {
+					score_ret = scoreNameAndColor(cname_tmp)
+					print(score_ret)
+					score_name = score_ret[[1]]
+					score_color = score_ret[[2]]
+					cname = gsub("+", ".", cname_tmp, fixed=T)
+					cname = gsub("-", ".", cname, fixed=T)
+					if (cname %in% cnames) {
+						cnames_int = c(cnames_int, cname)
+						cnames_int_full = c(cnames_int_full, score_name)
+						score_colors = c(score_colors, score_color)
+					}
+				}
+				print("score_colors")
+				print(score_colors)
+				print("scores_arg")
+				print(scores_arg)
+				print("scores_sel")
+				print(scores_sel)
+				print("cnames")
+				print(cnames)
+				print("cnames_int")
+				print(cnames_int)
+				print("cnames_int_full")
+				print(cnames_int_full)
+
+				end_point = 0.5 + 2*length(cnames_int_full)-1 
+			 	boxplot(data[, cnames_int], 
+					names=cnames_int_full,
+					main=main_txt, 
+					col=score_colors,
+					cex.axis=2.5,
+					cex.main=2.0,
+					xaxt="n")
+			 		y_pos = par("usr")[3]-0.05*(par("usr")[4]-par("usr")[3])
+			 		text(cex=2.3, x=seq(1.0, length(cnames_int_full)*1.05, 1.05), y=y_pos, labels=paste(cnames_int_full), adj= 1, xpd = TRUE, srt=45, pos=2)
+			 } else {
+			 	plot(0.0,0.0, 
+			 		col="white", 
+			 		cex.main=1.6,
+			 		cex.lab=2.2, cex.axis=2.2,
+			 		main="empty plot...")
+			 }
+		}
+	}
+}
+dev.off()
diff --git a/src/visR/accuracy/auc_vioplots.R b/src/visR/accuracy/auc_vioplots.R
new file mode 100644
index 0000000..59aaefe
--- /dev/null
+++ b/src/visR/accuracy/auc_vioplots.R
@@ -0,0 +1,314 @@
+#install.packages(
+require(graphics); require(grDevices);
+library(vioplot)
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+colors_sorted = c("lightgreen", "lightblue","peachpuff","azure2","red")
+
+library(sm)
+
+my.vioplot <- function(x,...,range=1.5,h=NULL,ylim=NULL,names=NULL, horizontal=FALSE,
+  col="magenta", border="black", lty=1, lwd=1, rectCol="black", colMed="white", pchMed=19, at, add=FALSE, wex=1,
+  drawRect=TRUE)
+{
+    # process multiple datas
+    datas <- list(x,...)
+    n <- length(datas)
+
+    if(missing(at)) at <- 1:n
+
+    # pass 1
+    #
+    # - calculate base range
+    # - estimate density
+    #
+
+    # setup parameters for density estimation
+    upper  <- vector(mode="numeric",length=n)
+    lower  <- vector(mode="numeric",length=n)
+    q1     <- vector(mode="numeric",length=n)
+    q3     <- vector(mode="numeric",length=n)
+    med    <- vector(mode="numeric",length=n)
+    base   <- vector(mode="list",length=n)
+    height <- vector(mode="list",length=n)
+    baserange <- c(Inf,-Inf)
+
+    # global args for sm.density function-call
+    args <- list(display="none")
+
+    if (!(is.null(h)))
+        args <- c(args, h=h)
+
+    for(i in 1:n) {
+        data<-datas[[i]]
+
+        # calculate plot parameters
+        #   1- and 3-quantile, median, IQR, upper- and lower-adjacent
+        data.min <- min(data)
+        data.max <- max(data)
+        q1[i]<-quantile(data,0.25)
+        q3[i]<-quantile(data,0.75)
+        med[i]<-median(data)
+        iqd <- q3[i]-q1[i]
+        upper[i] <- min( q3[i] + range*iqd, data.max )
+        lower[i] <- max( q1[i] - range*iqd, data.min )
+
+        #   strategy:
+        #       xmin = min(lower, data.min))
+        #       ymax = max(upper, data.max))
+        #
+
+        est.xlim <- c( min(lower[i], data.min), max(upper[i], data.max) )
+
+        # estimate density curve
+        smout <- do.call("sm.density", c( list(data, xlim=est.xlim), args ) )
+
+        # calculate stretch factor
+        #
+        #  the plots density heights is defined in range 0.0 ... 0.5
+        #  we scale maximum estimated point to 0.4 per data
+        #
+        hscale <- 0.4/max(smout$estimate) * wex
+
+        # add density curve x,y pair to lists
+        base[[i]]   <- smout$eval.points
+        height[[i]] <- smout$estimate * hscale
+
+        # calculate min,max base ranges
+        t <- range(base[[i]])
+        baserange[1] <- min(baserange[1],t[1])
+        baserange[2] <- max(baserange[2],t[2])
+
+    }
+
+    # pass 2
+    #
+    # - plot graphics
+
+    # setup parameters for plot
+    if(!add){
+      xlim <- if(n==1)
+               at + c(-.5, .5)
+              else
+               range(at) + min(diff(at))/2 * c(-1,1)
+
+      if (is.null(ylim)) {
+         ylim <- baserange
+      }
+    }
+    if (is.null(names)) {
+        label <- 1:n
+    } else {
+        label <- names
+    }
+
+    boxwidth <- 0.05 * wex
+
+    # setup plot
+    if(!add)
+      plot.new()
+    if(!horizontal) {
+      if(!add){
+        plot.window(xlim = xlim, ylim = ylim)
+        axis(2)
+        axis(1,at = at, label=label )
+      }
+
+      box()
+      for(i in 1:n) {
+          # plot left/right density curve
+          polygon( c(at[i]-height[[i]], rev(at[i]+height[[i]])),
+                   c(base[[i]], rev(base[[i]])),
+                   col = col[i %% length(col) + 1], border=border, lty=lty, lwd=lwd)
+
+          if(drawRect){
+            # plot IQR
+            lines( at[c( i, i)], c(lower[i], upper[i]) ,lwd=lwd, lty=lty)
+
+            # plot 50% KI box
+            rect( at[i]-boxwidth/2, q1[i], at[i]+boxwidth/2, q3[i], col=rectCol)
+
+            # plot median point
+            points( at[i], med[i], pch=pchMed, col=colMed )
+         }
+      }
+
+    }
+    else {
+      if(!add){
+        plot.window(xlim = ylim, ylim = xlim)
+        axis(1)
+        axis(2,at = at, label=label )
+      }
+
+      box()
+      for(i in 1:n) {
+          # plot left/right density curve
+          polygon( c(base[[i]], rev(base[[i]])),
+                   c(at[i]-height[[i]], rev(at[i]+height[[i]])),
+                   col = col[i %% length(col) + 1], border=border, lty=lty, lwd=lwd)
+
+          if(drawRect){
+            # plot IQR
+            lines( c(lower[i], upper[i]), at[c(i,i)] ,lwd=lwd, lty=lty)
+
+            # plot 50% KI box
+            rect( q1[i], at[i]-boxwidth/2, q3[i], at[i]+boxwidth/2,  col=rectCol)
+
+            # plot median point
+            points( med[i], at[i], pch=pchMed, col=colMed )
+          }
+      }
+    }
+    invisible (list( upper=upper, lower=lower, median=med, q1=q1, q3=q3))
+}
+
+args <- commandArgs(trailingOnly = TRUE)
+
+if (length(args) >=1) {
+	dataset = args[1]
+} else {
+	#dataset="sau461"
+	#dataset = "mtu173"
+	dataset = "mtu_broad"
+}
+
+if (length(args) >= 2) {
+	mut_type = args[2]
+} else {
+	mut_type = "P"
+}
+
+if (length(args) >= 3) {
+	subset = args[3]
+} else {
+	subset = "sel3"
+}
+
+if (length(args) >= 4) {
+	prefix = args[4]
+} else {
+	if (Sys.info()["sysname"] == "Linux") {
+		prefix = "/home/misias/gwamar/"
+	} else {
+		prefix = "D:/Dropbox/Dropbox/gwamar/"
+	}
+}
+
+if (length(args) >= 5) {
+	scores_arg = args[5]
+} else {
+	scores_arg = "mi,or,lh,ws_yPHYML,r.tgh_yPHYML"
+}
+
+scoreFullName <- function(score) {
+	score_full = score
+	if (score == "mi") {
+		score_full = "mutual information";
+	} else if (score == "or") {
+		score_full = "odds ratio";
+	} else if (score == "lh") {
+		score_full = "hypergeometric";
+	} else if (score %in% c("r-tgh","r.tgh")) {
+		score_full = "TGH"
+	} else if (score == "ws"){
+		score_full = "weighted support"
+	} else if(score == "ws+lh+r-tgh+mi+or") {
+		score_full = "combined"
+	} else if(score == "ts") {
+		score_full = "tree score"
+	} else if (score %in% c("r-tgh_yPHYML","r.tgh_yPHYML")) {
+		score_full = "TGH (PHYML)"
+	} else if (score == "ws_yPHYML") {
+		score_full = "weighted support (PHYML)"
+	} else if (score == "ws_yRAXML") {
+		score_full = "weighted support (RAXML)"
+	} else if (score == "r-tgh_yRAXML") {
+		score_full = "TGH (RAXML)"
+	}
+	return(score_full);
+}
+
+scoreFullNameShort <- function(score) {
+	score_full = score
+	if (score == "mi") {
+		score_full = "MI";
+	} else if (score == "or") {
+		score_full = "OR";
+	} else if (score == "lh") {
+		score_full = "H";
+	} else if (score %in% c("r-tgh","r.tgh")) {
+		score_full = "TGH"
+	} else if (score == "ws"){
+		score_full = "WS"
+	} else if(score == "ws+lh+r-tgh+mi+or") {
+		score_full = "combined"
+	} else if(score == "TS") {
+		score_full = "tree score"
+	} else if (score %in% c("r-tgh_yPHYML","r.tgh_yPHYML")) {
+		score_full = "TGH"
+	} else if (score == "ws_yPHYML") {
+		score_full = "WS"
+	} else if (score == "ws_yRAXML") {
+		score_full = "WS (RAXML)"
+	} else if (score == "r-tgh_yRAXML") {
+		score_full = "TGH (RAXML)"
+	}
+	return(score_full);
+}
+
+
+
+outdir = paste(prefix,"datasets/paper/", sep="")
+dir.create(outdir, showWarnings = FALSE)
+
+output_fn = paste(outdir, "/auc_vio_", subset, ".pdf", sep="")
+
+pdf(output_fn, width=18,height=10)
+par(mfrow=c(1,2), las=2, mar=c(7,6,2,1))
+
+
+for (dataset in c("mtu173", "mtu_broad")) {
+
+  input_fn = paste(prefix, "datasets/", dataset, "/ex", mut_type, "/comparison/stats/", subset, ".txt", sep="")
+  data = read.table(input_fn, header=TRUE, sep="\t")
+
+  input_data_pn = paste(prefix,"datasets/",dataset,"/ex",mut_type,"/comparison/stats/",subset,"/stats_pn.txt", sep="")
+  data_pn = read.table(input_data_pn, header=TRUE, sep="\t")
+  positives = data_pn[,"ps"]
+  negatives = data_pn[,"ns"]
+
+
+  main_txt = paste("AUC barplots; ", dataset, " dataset; positives: ", toString(positives), "; negatives: " , toString(negatives), sep="")
+
+  print(scores_arg)
+  scores_sel = strsplit(scores_arg, "[,]")[[1]]
+  print("scores_sel")
+  print(scores_sel)
+  cnames = colnames(data)
+  print("cnames")
+  print(cnames)
+
+  cnames_int_full = c()
+  cnames_int = c()
+
+  for (cname in scores_sel) {
+    if (cname %in% cnames) {
+      cnames_int = c(cnames_int, cname)
+      cnames_int_full = c(cnames_int_full, scoreFullNameShort(cname))
+    }
+  }
+
+  end_point = 0.5 + 2*length(cnames_int_full)-1 
+	x1 = data[, cnames_int[[1]]]
+	x2 = data[, cnames_int[[2]]]
+	x3 = data[, cnames_int[[3]]]
+	x4 = data[, cnames_int[[4]]]
+	x5 = data[, cnames_int[[5]]]
+
+	my.vioplot(x1,x2,x3,x4,x5,
+		col=colors_sorted,
+		names=cnames_int_full
+			)
+}
+
+dev.off()
diff --git a/src/visR/accuracy/pr_bars.R b/src/visR/accuracy/pr_bars.R
new file mode 100644
index 0000000..80374b0
--- /dev/null
+++ b/src/visR/accuracy/pr_bars.R
@@ -0,0 +1,115 @@
+#install.packages(
+require(graphics); require(grDevices);
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+
+args <- commandArgs(trailingOnly = TRUE)
+
+if (length(args) >=1) {
+	dataset = args[1]
+} else {
+	#dataset="sau461"
+	#dataset = "mtu173"
+	dataset = "mtu_broad"
+}
+
+if (length(args) >= 2) {
+	mut_type = args[2]
+} else {
+	mut_type = "P"
+}
+
+if (length(args) >= 3) {
+	subset = args[3]
+} else {
+	subset = "sel3"
+}
+
+if (length(args) >= 4) {
+	prefix = args[4]
+} else {
+	if (Sys.info()["sysname"] == "Linux") {
+		prefix = "/home/misias/Dropbox/gwamar/"
+	} else {
+		prefix = "D:/Dropbox/Dropbox/gwamar/"
+	}
+}
+
+if (length(args) >= 5) {
+	scores_arg = args[5]
+} else {
+	scores_arg = "mi,or,r-tgh,ws,lh"
+}
+
+scoreFullName <- function(score) {
+	score_full = score
+	if (score == "mi") {
+		score_full = "mutual information";
+	} else if (score == "or") {
+		score_full = "odds ratio";
+	} else if (score == "lh") {
+		score_full = "hypergeometric";
+	} else if (score %in% c("r-tgh","r.tgh")) {
+		score_full = "TGH"
+	} else if (score == "ws"){
+		score_full = "weighted support"
+	} else if(score == "ws+lh+r-tgh+mi+or") {
+		score_full = "combined"
+	} else if(score == "ts") {
+		score_full = "tree score"
+	} else if (score %in% c("r-tgh_yPHYML","r.tgh_yPHYML")) {
+		score_full = "TGH (PHYML)"
+	} else if (score == "ws_yPHYML") {
+		score_full = "weighted support (PHYML)"
+	} else if (score == "ws_yRAXML") {
+		score_full = "weighted support (RAXML)"
+	} else if (score == "r-tgh_yRAXML") {
+		score_full = "TGH (RAXML)"
+	}
+	return(score_full);
+}
+
+
+input_fn = paste(prefix,"datasets/",dataset,"/ex",mut_type,"/comparison/", subset, ".txt", sep="")
+print(input_fn)
+#score_files = list.files(path = inputdir)
+#print(score_files)
+
+
+outdir = paste(prefix,"datasets/",dataset,"/ex",mut_type,"/figures/", sep="")
+dir.create(outdir, showWarnings = FALSE)
+
+#input_fn = paste(inputdir, "/",score_files[1], sep="")
+data = read.table(input_fn, header=TRUE, sep="\t")
+
+input_data_pn = paste(prefix,"datasets/",dataset,"/ex",mut_type,"/comparison/stats_pn_", subset, ".txt", sep="")
+data_pn = read.table(input_data_pn, header=TRUE, sep="\t")
+positives = data_pn[,"ps"]
+negatives = data_pn[,"ns"]
+
+
+main_txt = paste("AUC barplots; positives: ", toString(positives), "; negatives: " , toString(negatives), sep="")
+
+print(scores_arg)
+scores_sel = strsplit(scores_arg, "[,]")[[1]]
+print("scores_sel")
+print(scores_sel)
+cnames = colnames(data)
+print("cnames")
+print(cnames)
+
+cnames_int_full = c()
+cnames_int = c()
+
+for (cname in scores_sel) {
+	if (cname %in% cnames) {
+		cnames_int = c(cnames_int, cname)
+		cnames_int_full = c(cnames_int_full, scoreFullName(cname))
+	}
+}
+
+output_fn = paste(outdir, "/pr_bars_",dataset, "_", subset, ".pdf", sep="")
+pdf(output_fn, width=18,height=10)
+boxplot(data[, cnames_int], names=cnames_int_full,  main=main_txt, par=2)
+#boxplot(data[,], par=2)
+dev.off()
diff --git a/src/visR/accuracy/pr_curves.R b/src/visR/accuracy/pr_curves.R
new file mode 100644
index 0000000..f376897
--- /dev/null
+++ b/src/visR/accuracy/pr_curves.R
@@ -0,0 +1,149 @@
+#install.packages(
+require(graphics); require(grDevices);
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+
+args <- commandArgs(trailingOnly = TRUE)
+
+scoreFullName <- function(score) {
+	score_full = score
+	if (score == "mi") {
+		score_full = "mutual information";
+	} else if (score == "or") {
+		score_full = "odds ratio";
+	} else if (score == "lh") {
+		score_full = "hypergeometric";
+	} else if (score %in% c("r-tgh","r.tgh")) {
+		score_full = "TGH"
+	} else if (score == "ws"){
+		score_full = "weighted support"
+	} else if(score == "ws+lh+r-tgh+mi+or") {
+		score_full = "combined"
+	} else if(score == "ts") {
+		score_full = "tree score"
+	} else if (score %in% c("r-tgh_yPHYML","r.tgh_yPHYML")) {
+		score_full = "TGH (PHYML)"
+	} else if (score == "ws_yPHYML") {
+		score_full = "weighted support (PHYML)"
+	} else if (score == "ws_yRAXML") {
+		score_full = "weighted support (RAXML)"
+	} else if (score == "r-tgh_yRAXML") {
+		score_full = "TGH (RAXML)"
+	}
+	return(score_full);
+}
+
+if (length(args) >=1) {
+	dataset = args[1]
+} else {
+	#dataset="sau461"
+	#dataset = "mtu173"
+	dataset = "mtu_broad"
+}
+
+if (length(args) >= 2) {
+	mut_type = args[2]
+} else {
+	mut_type = "P"
+}
+
+if (length(args) >= 3) {
+	subset = args[3]
+} else {
+	subset = "eq1"
+}
+
+if (length(args) >= 4) {
+	prefix = args[4]
+} else {
+	if (Sys.info()["sysname"] == "Linux") {
+		prefix = "/home/misias/Dropbox/gwamar/"
+	} else {
+		prefix = "D:/Dropbox/Dropbox/gwamar/"
+	}
+}
+
+if (length(args) >= 5) {
+	scores_arg = args[5]
+} else {
+	scores_arg = "mi,or,r-tgh,ws,lh"
+}
+
+print(scores_arg)
+
+inputdir = paste(prefix,"datasets/",dataset,"/ex",mut_type,"/comparison/stats_", subset, "/", sep="")
+
+print(inputdir)
+score_files = list.files(path = inputdir)
+
+print(score_files)
+
+score_areas = c()
+score_colors = c()
+
+outdir = paste(prefix,"datasets/",dataset,"/ex",mut_type,"/figures/", sep="")
+dir.create(outdir, showWarnings = FALSE)
+#x11()
+output_fn = paste(outdir, "/pr_",dataset, "_", subset, ".pdf", sep="")
+pdf(output_fn, width=18,height=10)
+
+input_fn = paste(inputdir, "/ws/0.txt", sep="")
+print(input_fn)
+
+data = read.table(input_fn, header=FALSE, sep="\t")
+
+input_data_pn = paste(prefix,"datasets/",dataset,"/ex",mut_type,"/comparison/stats_pn_", subset, ".txt", sep="")
+data_pn = read.table(input_data_pn, header=TRUE, sep="\t")
+positives = data_pn[,"ps"]
+negatives = data_pn[,"ns"]
+
+print(scores_arg)
+scores_list = strsplit(scores_arg, "[,]")[[1]]
+print(scores_list)
+#scores = c("mi", "or", "r-tgh", "ws", "lh", "ts", "ws+lh+r-fcctw2+mi+or")
+#scores = c("mi_x0", "or_x0", "r-fcctw2_x0", "ws_x0", "lh_x0")
+
+main_txt = paste("PR curves; positives: ", toString(positives), "; negatives: " , toString(negatives), sep="")
+
+plot(c(), cex.lab = 1.5, xlab="tpr (recall) = TP/(TP+FN)", ylab="precision = TP/(TP+FP)", main=main_txt, xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+
+for (score_file in score_files) {
+	score = strsplit(score_file, "[.]")[[1]][1]
+
+	if (score %in% scores_list){
+
+		input_fn = paste(inputdir, "/",score,"/0.txt", sep="")
+		data = read.table(input_fn, header=FALSE, sep="\t")
+
+		prec = c(data[1,2], data[,2])
+		recall = c(0.0, data[,3])
+		n = length(prec)
+
+		area = 0.0
+
+		for (i in 2:n) {
+			area = area + 0.5*(prec[i] + prec[i-1])*(recall[i]-recall[i-1])
+		}
+
+		color = rgb(runif(1),runif(1),runif(1)) 
+
+		score_full = scoreFullName(score)
+		score_desc = paste(score_full, " [AUC=" , round(area,2) , "]", sep="")
+		score_areas[[score_desc]] = area
+		score_colors[[score_desc]] = color
+
+		points(prec~recall, col=color, pch=18, lwd=1.5, type="l", xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+	}
+}
+
+score_desc_sorted = names(sort(score_areas, decreasing = T))
+score_colors_sorted = c()
+
+for (score_desc in score_desc_sorted) {
+	score_colors_sorted = c(score_colors_sorted, score_colors[[score_desc]])		
+}
+
+legend("topright", fill=score_colors_sorted, legend = score_desc_sorted, ncol=1, cex=2)
+
+dev.off()
+
diff --git a/src/visR/accuracy/roc_curves.R b/src/visR/accuracy/roc_curves.R
new file mode 100644
index 0000000..0dd4a0a
--- /dev/null
+++ b/src/visR/accuracy/roc_curves.R
@@ -0,0 +1,115 @@
+#install.packages(
+require(graphics); require(grDevices);
+
+#data_fn = paste(species_id, "_out/r_subset/", drug_name, ".txt", sep = "")
+
+args <- commandArgs(trailingOnly = TRUE)
+
+
+if (length(args) >=1) {
+	dataset = args[1]
+} else {
+	dataset = "mtu173"
+	#dataset = "broad_mtb"
+}
+
+if (length(args) >= 2) {
+	mut_type = args[2]
+} else {
+	mut_type = "P"
+}
+
+if (length(args) >= 3) {
+	subset = args[3]
+} else {
+	subset = "eq1"
+}
+
+if (length(args) >= 4) {
+	prefix = args[4]
+} else {
+	if (Sys.info()["sysname"] == "Linux") {
+		prefix = "/home/misias/Dropbox/gwamar/"
+	} else {
+		prefix = "D:/Dropbox/Dropbox/gwamar/"
+	}
+}
+
+if (length(args) >= 5) {
+	scores_arg = args[5]
+} else {
+	scores_arg = "mi,or,r-tgh,ws,lh"
+}
+
+
+## myScript.R
+
+inputdir = paste(prefix,"datasets/",dataset,"/ex",mut_type,"/comparison/stats_", subset, "/", sep="")
+
+score_files = list.files(path = inputdir)
+
+score_areas = c()
+score_colors = c()
+
+outdir = paste(prefix,"datasets/",dataset,"/ex",mut_type,"/figures/", sep="")
+
+output_fn = paste(outdir, "/roc_", dataset, "_", subset, ".pdf", sep="")
+pdf(output_fn, width=18,height=10)
+
+input_fn = paste(inputdir, "/",score_files[1],"/0.txt", sep="")
+print(input_fn)
+
+data = read.table(input_fn, header=FALSE, sep="\t")
+if (ncol(data) > 4) {
+	positives = data[1,1] + data[1,4]
+	negatives = data[1,2] + data[1,3]
+} else {
+	positives = 0
+	negatives = 0
+}
+
+main_txt = paste("ROC curves; positives: ", toString(positives), "; negatives: " , toString(negatives), sep="")
+plot(c(), xlab="fpr = FP/(FP+TN)", ylab="tpr (recall) = TP/(TP+FN)", main=main_txt, xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+
+for (score_file in score_files) {
+	print(score_file)
+	score = score_file
+	input_fn = paste(inputdir, "/",score_file,"/0.txt", sep="")
+	data = read.table(input_fn, header=FALSE, sep="\t")
+
+	fp = data[,2]
+	tn = data[,3]
+	fpr = fp/(fp+tn)
+	tpr = data[,6]
+
+	fpr = c(0.0, fpr)
+	tpr = c(0.0, tpr)
+	n = length(fpr)
+
+	area = 0.0
+
+	for (i in 2:n) {
+		area = area + 0.5*(tpr[i] + tpr[i-1])*(fpr[i]-fpr[i-1])
+	}
+
+	color = rgb(runif(1),runif(1),runif(1)) 
+
+	score_desc = paste(score, " [AUC=" , round(area,2) , "]", sep="")
+	score_areas[[score_desc]] = area
+	score_colors[[score_desc]] = color
+
+	points(tpr~fpr, col=color, pch=18, lwd=1.5, type="l", xlim=c(0.0,1.0), ylim=c(0.0, 1.0))
+}
+
+score_desc_sorted = names(sort(score_areas, decreasing = T))
+score_colors_sorted = c()
+
+for (score_desc in score_desc_sorted) {
+	score_colors_sorted = c(score_colors_sorted, score_colors[[score_desc]])		
+}
+
+legend("topright", fill=score_colors_sorted, legend = score_desc_sorted, ncol=4)
+
+dev.off()
+
+
diff --git a/src/visR/accuracy/viotest.R b/src/visR/accuracy/viotest.R
new file mode 100644
index 0000000..c6f6c6c
--- /dev/null
+++ b/src/visR/accuracy/viotest.R
@@ -0,0 +1,8 @@
+# Violin Plots
+library(vioplot)
+x1 <- mtcars$mpg[mtcars$cyl==4]
+x2 <- mtcars$mpg[mtcars$cyl==6]
+x3 <- mtcars$mpg[mtcars$cyl==8]
+vioplot(x1, x2, x3, names=c("4 cyl", "6 cyl", "8 cyl"), 
+   col="gold")
+title("Violin Plots of Miles Per Gallon")
\ No newline at end of file

-- 
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