[med-svn] [seer] 01/07: Imported Upstream version 1.1.1

Andreas Tille tille at debian.org
Thu Apr 14 11:45:05 UTC 2016


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

tille pushed a commit to branch master
in repository seer.

commit 954fcd02e166a68dbce2eaa9b20b201cea778e87
Author: Andreas Tille <tille at debian.org>
Date:   Thu Apr 14 11:51:53 2016 +0200

    Imported Upstream version 1.1.1
---
 .gitmodules                     |    2 +-
 Makefile                        |    1 -
 README.md                       |   39 +-
 scripts/hits_to_fastq.pl        |   85 ++
 scripts/mapping_to_phandango.pl |  106 ++
 scripts/reformat_output.pl      |   88 ++
 src/Makefile                    |   18 +-
 src/filter_seer.cpp             |    7 +-
 src/kmdsCmdLine.cpp             |    5 +-
 src/kmdsMain.cpp                |   35 +-
 src/kmdsStruct.cpp              |    7 +-
 src/kmer.cpp                    |   22 +-
 src/kmer.hpp                    |    7 +-
 src/mapMain.cpp                 |    7 +-
 src/seer.hpp                    |    3 +-
 src/seerBinaryAssoc.cpp         |  166 ++-
 src/seerChiFilter.cpp           |   53 +-
 src/seerCmdLine.cpp             |    2 +-
 src/seerCommon.cpp              |    7 +-
 src/seerContinuousAssoc.cpp     |   13 +-
 src/seerFilter.cpp              |   42 +-
 src/seerIO.cpp                  |  104 +-
 src/seerMain.cpp                |   35 +-
 src/seercommon.hpp              |   16 +-
 src/significant_kmer.cpp        |   61 +-
 src/significant_kmer.hpp        |   14 +
 test/Makefile                   |    4 +-
 test/all_structure_new          |  Bin 0 -> 75800 bytes
 test/all_structure_new.samples  | 3069 +++++++++++++++++++++++++++++++++++++++
 test/covariates.txt             |  200 +++
 test/filter_in.txt              |  175 +++
 test/run_test.pl                |   45 +
 test/subset.cont.pheno          |  200 +++
 test/test1.txt                  |    4 +
 test/test2.txt                  |  178 +++
 test/test3.txt                  |   99 ++
 test/test4.txt                  |   20 +
 test/test5.txt                  |  182 +++
 test/test6.txt                  |  178 +++
 test/test7.txt                  |  155 ++
 40 files changed, 5294 insertions(+), 160 deletions(-)

diff --git a/.gitmodules b/.gitmodules
index 8c53a00..ead5808 100644
--- a/.gitmodules
+++ b/.gitmodules
@@ -1,3 +1,3 @@
 [submodule "dlib"]
 	path = dlib
-	url = git at github.com:davisking/dlib.git
+	url = https://github.com/davisking/dlib
diff --git a/Makefile b/Makefile
index 611137e..2dd32e1 100755
--- a/Makefile
+++ b/Makefile
@@ -3,7 +3,6 @@ export BINDIR=$(PREFIX)/bin
 
 all:
 	cd src && $(MAKE) all
-	cd test && $(MAKE) all
 
 clean:
 	cd src && $(MAKE) clean
diff --git a/README.md b/README.md
index 67f2442..c6a29d6 100644
--- a/README.md
+++ b/README.md
@@ -1,12 +1,12 @@
 # seer
 Sequence element enrichment analysis. This document contains
-installation instuctions. Usage can be found on the [wiki](https://github.com/johnlees/seer/wiki/Usage)
+installation instuctions. Usage can be found on the [wiki](https://github.com/johnlees/seer/wiki/Usage), and more information in the [paper](http://biorxiv.org/content/early/2016/03/02/038463).
 
 Installation
 ==============
 First clone the repository
 
-    git clone --recursive https://github.com/johnlees/seer    
+    git clone --recursive https://github.com/johnlees/seer
 
 If you already have dlib:
 
@@ -42,11 +42,27 @@ Download and unpack to a folder gzstream in the root of the repository. Change i
 
     make
 
+**HDF5**
+
+Best installed with your distribution's package manager. Otherwise use
+a binary from <https://www.hdfgroup.org/HDF5/release/obtain5.html>, or
+if you wish to compile from source
+
+    gunzip < hdf5-X.Y.Z.tar.gz | tar xf -
+    cd hdf5-X.Y.Z
+    ./configure --prefix=/usr/local/hdf5 <more configure_flags>
+    make
+    make check
+    make install
+    make check-install
+
 **armadillo**
 
+Make sure HDF5 is installed first.
+
 Download and unpack. Change into directory and type
 
-    cmake .
+    cmake -DARMA_USE_HDF5=1 .
     make
     make install
 
@@ -72,19 +88,18 @@ Then run
 If not installed use the above git clone command to include with the
 repository. Otherwise unpack header files to $(PREFIX)/include
 
-**HDF5**
+**installation**
 
-Best installed with your distribution's package manager. Otherwise use
-a binary from <https://www.hdfgroup.org/HDF5/release/obtain5.html>, or
-if you wish to compile from source
+Currently tested on Linux only, installation should proceed as
 
-    gunzip < hdf5-X.Y.Z.tar.gz | tar xf -
-    cd hdf5-X.Y.Z
-    ./configure --prefix=/usr/local/hdf5 <more configure_flags>
     make
-    make check
     make install
-    make check-install
+
+You may need to explicitly set the current GCC compiler, which you can
+do by running
+
+    make CXX=g++-4.9
+
 
 Usage, interpretation of results, and troubleshooting
 =============
diff --git a/scripts/hits_to_fastq.pl b/scripts/hits_to_fastq.pl
new file mode 100755
index 0000000..7d84443
--- /dev/null
+++ b/scripts/hits_to_fastq.pl
@@ -0,0 +1,85 @@
+#!/usr/bin/perl -w
+
+use strict;
+use warnings;
+
+use Getopt::Long;
+
+my $usage_message = <<USAGE;
+Usage: ./hits_to_fastq.pl -k <significant_kmers.txt> -b <bonferroni_correction>
+
+Creates a fastq for mapping from significant kmers
+
+   Options
+
+   Required
+   -k, --kmers      Significant kmers, as output by seer
+   -b, --bonf       Bonferroni correction to use (try 10e-8)
+
+   Optional
+   -h, --help       Displays this message
+
+USAGE
+
+#****************************************************************************************#
+#* Main                                                                                 *#
+#****************************************************************************************#
+
+#* gets input parameters
+my ($kmer_file, $bonf, $help);
+GetOptions ("kmers|k=s"  => \$kmer_file,
+            "bonf|b=s" => \$bonf,
+            "help|h"     => \$help
+		   ) or die($usage_message);
+
+if (defined($help) || !defined($kmer_file) || !defined($bonf))
+{
+   print $usage_message;
+}
+else
+{
+   open(KMERS, $kmer_file) || die("Could not open kmer file: $kmer_file\n");
+   my $header = <KMERS>;
+
+   my $i = 1;
+   while (my $line_in = <KMERS>)
+   {
+      chomp $line_in;
+      my ($kmer, $maf, $p_unadj, $p_adj, @junk) = split("\t", $line_in);
+
+      my $corrected_p = $p_adj / $bonf;
+      if ($corrected_p > 1)
+      {
+         $corrected_p = 1;
+      }
+
+      my $ascii_val;
+      if ($corrected_p == 0)
+      {
+         $ascii_val = 126;
+      }
+      else
+      {
+         $ascii_val = int(-10*log($corrected_p)/log(10)) + 33;
+         if ($ascii_val < 33)
+         {
+            $ascii_val = 33;
+         }
+         elsif ($ascii_val > 126)
+         {
+            $ascii_val = 126;
+         }
+      }
+
+      my $qual = chr($ascii_val) x length($kmer);
+
+      print join("\n", "\@$i", $kmer, "+", $qual) . "\n";
+
+      $i++;
+   }
+
+   close KMERS
+}
+
+exit(0);
+
diff --git a/scripts/mapping_to_phandango.pl b/scripts/mapping_to_phandango.pl
new file mode 100755
index 0000000..a339559
--- /dev/null
+++ b/scripts/mapping_to_phandango.pl
@@ -0,0 +1,106 @@
+#!/usr/bin/perl -w
+
+use strict;
+use warnings;
+
+use Getopt::Long;
+
+my $usage_message = <<USAGE;
+Usage: ./mapping_to_phandango.pl -s <sam_file> -k <seer_kmers> > phandango.plot
+
+Creates a plot file for visualisation in phandango
+
+   Options
+
+   Required
+   -s, --sam        Sam file of kmers mapped to reference (unsorted)
+   -k, --kmers      Kmers that were mapped
+
+   Optional
+   -m, --map        Minimum mapping quality
+
+   -h, --help       Displays this message
+
+USAGE
+
+#****************************************************************************************#
+#* Main                                                                                 *#
+#****************************************************************************************#
+
+#* gets input parameters
+my ($kmer_file, $sam_file, $min_qual, $help);
+GetOptions ("kmers|k=s"  => \$kmer_file,
+            "sam|s=s" => \$sam_file,
+            "map|m=s" => \$min_qual,
+            "help|h"     => \$help
+		   ) or die($usage_message);
+
+if (defined($help) || !defined($kmer_file) || !defined($sam_file))
+{
+   print $usage_message;
+}
+else
+{
+   if (!defined($min_qual))
+   {
+      $min_qual = 0;
+   }
+
+   open(SAM, $sam_file) || die("Could not open sam file $sam_file: $!\n");
+   open(KMERS, $kmer_file) || die("Could not open kmer file $kmer_file: $!\n");
+
+   my $header = <KMERS>;
+
+   my %points;
+   while (my $sam_line = <SAM>)
+   {
+      chomp $sam_line;
+
+      if ($sam_line !~ /^@/)
+      {
+         my ($kmer_id, $flag, $chrom, $pos, $map_qual, $cigar, $mate_chrom, $mate_pos, $insert_size, $sequence, $quality, @optional) = split("\t", $sam_line);
+
+         # Get position, check for reverse complement
+         my ($end, $start);
+         if ($flag & 16)
+         {
+            $end = $pos;
+            $start = $pos - length($sequence) + 1;
+         }
+         else
+         {
+            $start = $pos;
+            $end = $pos + length($sequence) - 1;
+         }
+
+         my $kmer = <KMERS>;
+         chomp $kmer;
+
+         # Don't report unmapped or low quality mapped kmers
+         if ($map_qual > $min_qual && !($flag & 4))
+         {
+            my ($kmer, $maf, $unadj, $adj, @other) = split("\t", $kmer);
+
+            my $log_p = 386; # Exponent limit of a double
+            if ($adj > 0)
+            {
+               $log_p = -log($adj)/log(10);
+            }
+
+            $points{$kmer}{pval} = $log_p;
+            $points{$kmer}{start} = $start;
+            $points{$kmer}{pos} = "$start..$end";
+         }
+      }
+   }
+
+   # Sort and print the output
+   my @keys = sort { $points{$a}{start} <=> $points{$b}{start} } keys(%points);
+   foreach my $kmer (@keys)
+   {
+      print join("\t", "26", ".", $points{$kmer}{pos}, $points{$kmer}{pval}, "0") . "\n";
+   }
+}
+
+exit(0);
+
diff --git a/scripts/reformat_output.pl b/scripts/reformat_output.pl
new file mode 100755
index 0000000..1c4c71e
--- /dev/null
+++ b/scripts/reformat_output.pl
@@ -0,0 +1,88 @@
+#!/usr/bin/perl -w
+
+use strict;
+use warnings;
+
+use Getopt::Long;
+
+my $usage_message = <<USAGE;
+Usage: ./hits_to_matrix.pl -k <filtered_kmers.txt> -p <pheno_file>
+
+Reformats output for easier reading as tsv. Prints to stdout
+
+   Options
+
+   Required
+   -k, --kmers      Filtered significant kmers, as output by seer + filter_seer
+   -p, --pheno       Phenotype file used by seer
+
+   Optional
+   -h, --help       Displays this message
+
+USAGE
+
+#****************************************************************************************#
+#* Main                                                                                 *#
+#****************************************************************************************#
+
+#* gets input parameters
+my ($kmer_file, $pheno, $help);
+GetOptions ("kmers|k=s"  => \$kmer_file,
+            "pheno|p=s" => \$pheno,
+            "help|h"     => \$help
+		   ) or die($usage_message);
+
+if (defined($help) || !defined($kmer_file) || !defined($pheno))
+{
+   print $usage_message;
+}
+else
+{
+   # Read possible samples
+   open(PHENO, $pheno) || die("Could not open pheno file $pheno\n");
+
+   my @samples;
+   while (my $pheno_line = <PHENO>)
+   {
+      chomp $pheno_line;
+
+      my ($sample, $junk, $pheno) = split("\t", $pheno_line);
+
+      push(@samples, $sample);
+   }
+
+   # Keep everything sorted (as depends on kmer counting program used)
+   @samples = sort @samples;
+   close PHENO;
+
+   # Print header row to stdout
+   open(KMERS, $kmer_file) || die("Could not open kmer file $kmer_file\n");
+   print join("\t", "sequence", "maf", "unadj_p_val", "p_val", "beta", "se", "comments", @samples) . "\n";
+
+   while (my $kmer_line = <KMERS>)
+   {
+      chomp $kmer_line;
+
+      my ($sequence, $maf, $unadj, $adj, $beta, $se, $comment, @kmer_samples) = split("\t", $kmer_line);
+      @kmer_samples = sort @kmer_samples;
+
+      print join("\t", $sequence, $maf, $unadj, $adj, $beta, $se, $comment) . "\t";
+
+      my $next_sample = shift(@kmer_samples);
+      foreach my $sample (@samples)
+      {
+         print "\t";
+         if ($sample eq $next_sample)
+         {
+            print $sample;
+            if (scalar(@kmer_samples) != 0)
+            {
+               $next_sample = shift(@kmer_samples);
+            }
+         }
+      }
+      print "\n";
+
+   }
+   close KMERS;
+}
diff --git a/src/Makefile b/src/Makefile
index d74a82f..31939da 100755
--- a/src/Makefile
+++ b/src/Makefile
@@ -2,7 +2,7 @@
 PREFIX=${HOME}/software
 BINDIR=$(PREFIX)/bin
 
-# Intel compiler - uncomment if you have icpc and mkl. Comment out lines below
+# Intel compiler - uncomment if you have icpc and mkl.
 # gcc
 #CXX=icpc
 #CXXFLAGS=-Wall -O3 -parallel -ipo -std=c++11
@@ -12,12 +12,12 @@ BINDIR=$(PREFIX)/bin
 #FILTER_LDLIBS=-L$(PREFIX)/lib -lboost_program_options -mkl
 # gcc
 CXXFLAGS=-Wall -O3 -std=c++11
-SEER_LDLIBS=-L../gzstream -L$(PREFIX)/lib -lhdf5 -lgzstream -lz -larmadillo -lboost_program_options -llapack -lblas
-MAP_LDLIBS=-L$(PREFIX)/lib -lboost_program_options
+SEER_LDLIBS=-L../gzstream -L$(PREFIX)/lib -lhdf5 -lgzstream -lz -larmadillo -lboost_program_options -llapack -lblas -lpthread
+MAP_LDLIBS=-L$(PREFIX)/lib -lboost_program_options -lpthread
 COMBINE_LDLIBS=-L../gzstream -L$(PREFIX)/lib -lgzstream -lz -lboost_program_options
 FILTER_LDLIBS=-L$(PREFIX)/lib -lboost_program_options
 
-CPPFLAGS=-I$(PREFIX)/include -I../gzstream -I../dlib -D DLIB_NO_GUI_SUPPORT=1 -D DLIB_USE_BLAS=1 -D DLIB_USE_LAPACK=1
+CPPFLAGS=-I$(PREFIX)/include -I../gzstream -I../dlib -I/usr/local/hdf5/include -D DLIB_NO_GUI_SUPPORT=1 -D DLIB_USE_BLAS=1 -D DLIB_USE_LAPACK=1 -DARMA_USE_HDF5=1
 
 # For static linking. To use type 'make static'
 # Requires icpc and mkl
@@ -65,19 +65,19 @@ filter_seer: $(FILTER_OBJECTS)
 	$(LINK.cpp) $^ $(FILTER_LDLIBS) -o $@
 
 seer_static: $(SEER_OBJECTS)
-	$(LINK.cpp) $^ $(SEER_STATIC_LDLIBS) -o $@
+	$(LINK.cpp) $^ $(SEER_STATIC_LDLIBS) -o seer
 
 kmds_static: $(KMDS_OBJECTS)
-	$(LINK.cpp) $^ $(SEER_STATIC_LDLIBS) -o $@
+	$(LINK.cpp) $^ $(SEER_STATIC_LDLIBS) -o kmds
 
 map_back_static: $(MAP_OBJECTS)
-	$(LINK.cpp) $^ $(MAP_STATIC_LDLIBS) -o $@
+	$(LINK.cpp) $^ $(MAP_STATIC_LDLIBS) -o map_back
 
 combineKmers_static: $(COMBINE_OBJECTS)
-	$(LINK.cpp) $^ $(COMBINE_STATIC_LDLIBS) -o $@
+	$(LINK.cpp) $^ $(COMBINE_STATIC_LDLIBS) -o combineKmers
 
 filter_seer_static: $(FILTER_OBJECTS)
-	$(LINK.cpp) $^ $(FILTER_STATIC_LDLIBS) -o $@
+	$(LINK.cpp) $^ $(FILTER_STATIC_LDLIBS) -o filter_seer
 
 
 .PHONY: all static test clean install
diff --git a/src/filter_seer.cpp b/src/filter_seer.cpp
index 7355c01..180e885 100644
--- a/src/filter_seer.cpp
+++ b/src/filter_seer.cpp
@@ -52,10 +52,15 @@ int main (int argc, char *argv[])
       }
       else
       {
+         // Read the header
+         std::string header;
+         std::getline(kmers_in, header);
+         int num_covar_fields = parseHeader(header);
+
          while (kmers_in)
          {
             // Read in each kmer
-            Significant_kmer kmer;
+            Significant_kmer kmer(num_covar_fields);
             kmers_in >> kmer;
 
             if (kmers_in)
diff --git a/src/kmdsCmdLine.cpp b/src/kmdsCmdLine.cpp
index 0dac636..626b6a6 100644
--- a/src/kmdsCmdLine.cpp
+++ b/src/kmdsCmdLine.cpp
@@ -18,7 +18,7 @@ int parseCommandLine (int argc, char *argv[], po::variables_map& vm)
    //Required options
    po::options_description required("Required options");
    required.add_options()
-    ("kmers,k", po::value<std::string>(), "dsm kmer output file")
+    ("kmers,k", po::value<std::string>(), "dsm kmer output file (not needed if using --mds_concat)")
     ("pheno,p", po::value<std::string>(), ".pheno metadata");
 
    po::options_description mds("MDS options");
@@ -38,8 +38,7 @@ int parseCommandLine (int argc, char *argv[], po::variables_map& vm)
     ("no_filtering", "turn off all filtering and do not output new kmer file")
     ("max_length", po::value<long int>()->default_value(max_length_default), "maximum kmer length")
     ("maf", po::value<double>()->default_value(maf_default), "minimum kmer frequency")
-    ("min_words", po::value<int>(), "minimum kmer occurences. Overrides --maf")
-    ("chisq", po::value<std::string>()->default_value(chisq_default), "p-value threshold for initial chi squared test. Set to 1 to show all");
+    ("min_words", po::value<int>(), "minimum kmer occurences. Overrides --maf");
 
    po::options_description other("Other options");
    other.add_options()
diff --git a/src/kmdsMain.cpp b/src/kmdsMain.cpp
index 011ad59..ebb693e 100644
--- a/src/kmdsMain.cpp
+++ b/src/kmdsMain.cpp
@@ -55,6 +55,22 @@ int main (int argc, char *argv[])
       return 1;
    }
 
+   // Open .pheno file, parse into vector of samples
+   std::vector<Sample> samples;
+   std::unordered_map<std::string,int> sample_map;
+
+   if (vm.count("pheno"))
+   {
+      readPheno(vm["pheno"].as<std::string>(), samples, sample_map);
+   }
+   else
+   {
+      throw std::runtime_error("--pheno option is compulsory");
+   }
+
+   arma::vec y = constructVecY(samples);
+   int continuous_phenotype = continuousPhenotype(samples);
+
    // Normal operation
    if (!vm.count("mds_concat"))
    {
@@ -65,13 +81,6 @@ int main (int argc, char *argv[])
          return 1;
       }
 
-      // Open .pheno file, parse into vector of samples
-      std::vector<Sample> samples;
-      std::unordered_map<std::string,int> sample_map;
-      readPheno(vm["pheno"].as<std::string>(), samples, sample_map);
-      arma::vec y = constructVecY(samples);
-      int continuous_phenotype = continuousPhenotype(samples);
-
       cmdOptions parameters = verifyCommandLine(vm, samples);
 
       // Open the dsm kmer ifstream, and read through the whole thing
@@ -140,7 +149,7 @@ int main (int argc, char *argv[])
 
             // apply filters here
             int passed_filters = 0;
-            if (parameters.filter && passFilters(parameters, k, samples, y, continuous_phenotype))
+            if (parameters.filter && passFilters(parameters, k, samples, y, continuous_phenotype, 0))
             {
                passed_filters = 1;
                filtered_file << dsm_line << "\n";
@@ -183,7 +192,7 @@ int main (int argc, char *argv[])
       // Write output
       if (vm.count("no_mds"))
       {
-         writeMDS(dsm_file_name, subsampledMatrix);
+         writeMDS(dsm_file_name, samples, subsampledMatrix);
       }
       else
       {
@@ -191,11 +200,11 @@ int main (int argc, char *argv[])
          // Run metric MDS, then output to file
          if (parameters.write_distances)
          {
-            writeMDS(dsm_file_name, metricMDS(subsampledMatrix, parameters.pc, parameters.num_threads, distances_file_name));
+            writeMDS(dsm_file_name, samples, metricMDS(subsampledMatrix, parameters.pc, parameters.num_threads, distances_file_name));
          }
          else
          {
-            writeMDS(dsm_file_name, metricMDS(subsampledMatrix, parameters.pc, parameters.num_threads));
+            writeMDS(dsm_file_name, samples, metricMDS(subsampledMatrix, parameters.pc, parameters.num_threads));
          }
 
       }
@@ -243,11 +252,11 @@ int main (int argc, char *argv[])
          // Run metric MDS, then output to file
          if (mdsOptions.write_distances)
          {
-            writeMDS(dsm_file_name, metricMDS(readMDSList(matrix_input), mdsOptions.pc, mdsOptions.num_threads, distances_file_name));
+            writeMDS(dsm_file_name, samples, metricMDS(readMDSList(matrix_input), mdsOptions.pc, mdsOptions.num_threads, distances_file_name));
          }
          else
          {
-            writeMDS(dsm_file_name, metricMDS(readMDSList(matrix_input), mdsOptions.pc, mdsOptions.num_threads));
+            writeMDS(dsm_file_name, samples, metricMDS(readMDSList(matrix_input), mdsOptions.pc, mdsOptions.num_threads));
          }
       }
       else
diff --git a/src/kmdsStruct.cpp b/src/kmdsStruct.cpp
index 534064a..041e6e8 100644
--- a/src/kmdsStruct.cpp
+++ b/src/kmdsStruct.cpp
@@ -41,7 +41,10 @@ arma::mat metricMDS(const arma::mat& populationMatrix, const int dimensions, con
    arma::vec eigval;
    arma::mat eigvec;
 
-   arma::eig_sym(eigval, eigvec, B);
+   if (!arma::eig_sym(eigval, eigvec, B))
+   {
+      throw std::runtime_error("Could not calculate eignvalues of B matrix in metric MDS");
+   }
 
    // Step 5)
    // Eigenvalues returned are sorted ascending, so want to reverse order
@@ -145,7 +148,7 @@ arma::mat dissimiliarityMatrix(const arma::mat& inMat, const unsigned int thread
 
 std::vector<DistanceElement> threadDistance(std::vector<DistanceElement> element_list, const arma::mat& rectangular_matrix)
 {
-   for(std::vector<DistanceElement>::iterator it = element_list.begin() ; it < element_list.end(); ++it)
+   for(std::vector<DistanceElement>::iterator it = element_list.begin() ; it != element_list.end(); ++it)
    {
       it->distance = distanceFunction(rectangular_matrix.row(it->row), rectangular_matrix.row(it->col));
    }
diff --git a/src/kmer.cpp b/src/kmer.cpp
index d80debc..a459b0c 100644
--- a/src/kmer.cpp
+++ b/src/kmer.cpp
@@ -9,28 +9,38 @@
 
 // Initialisation
 Kmer::Kmer(const std::string& sequence, const std::vector<std::string>& occurrences, const double pvalue, const double beta, const double se, const double maf)
-   : Significant_kmer(sequence, occurrences, maf, kmer_chi_pvalue_default, pvalue, beta, se, kmer_comment_default), _x_set(0)
+   : Significant_kmer(sequence, occurrences, maf, kmer_chi_pvalue_default, pvalue, beta, se, kmer_comment_default), _x_set(0), _use_firth(0)
 {
 }
 
 // Initialise without calculated information
 Kmer::Kmer(const std::string& sequence, const std::vector<std::string>& occurrences)
-   : Significant_kmer(sequence, occurrences, kmer_maf_default, kmer_chi_pvalue_default, kmer_pvalue_default, kmer_beta_default, kmer_se_default, kmer_comment_default), _x_set(0)
+   : Significant_kmer(sequence, occurrences, kmer_maf_default, kmer_chi_pvalue_default, kmer_pvalue_default, kmer_beta_default, kmer_se_default, kmer_comment_default), _x_set(0), _use_firth(0)
 {
 }
 
 // Initialise with default info only
 Kmer::Kmer()
-    : Significant_kmer(kmer_seq_default, kmer_occ_default, kmer_maf_default, kmer_chi_pvalue_default, kmer_pvalue_default, kmer_beta_default, kmer_se_default, kmer_comment_default), _x_set(0)
+    : Significant_kmer(kmer_seq_default, kmer_occ_default, kmer_maf_default, kmer_chi_pvalue_default, kmer_pvalue_default, kmer_beta_default, kmer_se_default, kmer_comment_default), _x_set(0), _use_firth(0)
 {
 }
 
 // Output
 std::ostream& operator<<(std::ostream &os, const Kmer& k)
 {
-   return os << std::fixed << std::setprecision(3) << k.sequence() << "\t" << k.maf()
+   os << std::fixed << std::setprecision(3) << k.sequence() << "\t" << k.maf()
       << "\t" << std::scientific << k.unadj() << "\t" << k.p_val() << "\t" << k.beta()
-      << "\t" << k.se() << "\t" << k.comments();
+      << "\t" << k.se();
+
+   std::vector<double> covariates = k.covar_p();
+   for (auto it = covariates.begin(); it != covariates.end(); ++it)
+   {
+      os << "\t" << *it;
+   }
+
+   os << "\t" << k.comments();
+
+   return os;
 }
 
 // Input
@@ -104,7 +114,7 @@ void Kmer::add_x(const std::unordered_map<std::string,int>& sample_map, const in
 {
    _x.zeros(num_samples);
 
-   for (auto it = _samples.begin(); it < _samples.end(); ++it)
+   for (auto it = _samples.begin(); it != _samples.end(); ++it)
    {
       auto sample_index_it = sample_map.find(*it);
 
diff --git a/src/kmer.hpp b/src/kmer.hpp
index 6ddd569..ebbbeb0 100644
--- a/src/kmer.hpp
+++ b/src/kmer.hpp
@@ -3,10 +3,6 @@
  * Header file for kmer class
  */
 
-#include <iostream>
-#include <iomanip>
-#include <string>
-#include <vector>
 #include <unordered_map>
 
 #define ARMA_DONT_PRINT_ERRORS
@@ -38,14 +34,17 @@ class Kmer: public Significant_kmer
       std::vector<std::string> occurrence_vector() const { return _samples; }
       arma::vec get_x() const { return _x; }
       int has_x() const { return _x_set; }
+      int firth() const { return _use_firth; }
 
       // Modifying operations
       void add_comment(const std::string& new_comment); // this is defined in kmer.cpp
       void add_x(const std::unordered_map<std::string,int>& sample_map, const int num_samples); // this is defined in kmer.cpp
+      void firth(const int use_firth) { _use_firth = use_firth; }
 
    private:
       arma::vec _x;
       int _x_set;
+      int _use_firth;
 
 };
 
diff --git a/src/mapMain.cpp b/src/mapMain.cpp
index b4ac2a9..973a73f 100644
--- a/src/mapMain.cpp
+++ b/src/mapMain.cpp
@@ -50,7 +50,12 @@ int main (int argc, char *argv[])
       std::mutex out_mtx;
       std::list<std::future<void>> threads;
 
-      Significant_kmer sig_kmer;
+      // Read the header
+      std::string header;
+      std::getline(kmer_file, header);
+      int num_covar_fields = parseHeader(header);
+
+      Significant_kmer sig_kmer(num_covar_fields);
       while(kmer_file)
       {
          kmer_file >> sig_kmer;
diff --git a/src/seer.hpp b/src/seer.hpp
index 3273ae0..a7ed412 100644
--- a/src/seer.hpp
+++ b/src/seer.hpp
@@ -17,10 +17,11 @@
 const std::string pval_default = "10e-8";
 const double convergence_limit = 10e-8;
 const unsigned int max_nr_iterations = 1000;
+const double se_limit = 3;
 
 // Starting value for beta vectors (except intercept)
 // Should be >0. This value is based on RMS in example study
-const double bfgs_start_beta = 0.12;
+const double bfgs_start_beta = 1;
 
 // seerCmdLine headers
 int parseCommandLine (int argc, char *argv[], boost::program_options::variables_map& vm);
diff --git a/src/seerBinaryAssoc.cpp b/src/seerBinaryAssoc.cpp
index ec4f128..e043139 100644
--- a/src/seerBinaryAssoc.cpp
+++ b/src/seerBinaryAssoc.cpp
@@ -23,54 +23,95 @@ void logisticTest(Kmer& k, const arma::vec& y_train, const arma::mat& mds)
    doLogit(k, y_train, x_train);
 }
 
+// This uses BFGS optimisation by default. Invokes NR or Firth on error
 void doLogit(Kmer& k, const arma::vec& y_train, const arma::mat& x_train)
 {
    arma::mat x_design = join_rows(arma::mat(x_train.n_rows,1,arma::fill::ones), x_train);
    column_vector starting_point(x_design.n_cols);
 
-   starting_point(0) = log(mean(y_train)/(1 - mean(y_train)));
-   for (size_t i = 1; i < x_design.n_cols; ++i)
+   if (k.firth())
    {
-      starting_point(i) = bfgs_start_beta;
+      newtonRaphson(k, y_train, x_design, 1);
    }
-
-   try
+   else
    {
-      // Use BFGS optimiser in dlib to maximise likelihood function by chaging the
-      // b vector, which will end in starting_point
-      dlib::find_max(dlib::bfgs_search_strategy(),
-                  dlib::objective_delta_stop_strategy(convergence_limit),
-                  LogitLikelihood(x_train, y_train), LogitLikelihoodGradient(x_train, y_train),
-                  starting_point, -1);
-
-      // Extract beta
-      arma::vec b_vector = dlib_to_arma(starting_point);
-      k.beta(b_vector(1));
-
-      // Extract p-value
-      //
-      //
-      // W = B_1 / SE(B_1) ~ N(0,1)
-      //
-      // In the special case of a logistic regression, abs can be taken rather
-      // than ^2 as responses are 0 or 1
-      //
-      double se = pow(varCovarMat(x_design, b_vector)(1,1), 0.5);
-      k.standard_error(se);
+      starting_point(0) = log(mean(y_train)/(1 - mean(y_train)));
+      for (size_t i = 1; i < x_design.n_cols; ++i)
+      {
+         starting_point(i) = bfgs_start_beta;
+      }
 
-      double W = std::abs(b_vector(1)) / se; // null hypothesis b_1 = 0
-      k.p_val(normalPval(W));
+      try
+      {
+         // Use BFGS optimiser in dlib to maximise likelihood function by chaging the
+         // b vector, which will end in starting_point
+         dlib::find_max(dlib::bfgs_search_strategy(),
+                     dlib::objective_delta_stop_strategy(convergence_limit),
+                     LogitLikelihood(x_train, y_train), LogitLikelihoodGradient(x_train, y_train),
+                     starting_point, -1);
+
+         // Extract beta
+         arma::vec b_vector = dlib_to_arma(starting_point);
+         k.beta(b_vector(1));
+
+         // Extract p-value
+         //
+         //
+         // W = B_1 / SE(B_1) ~ N(0,1)
+         //
+         // In the special case of a logistic regression, abs can be taken rather
+         // than ^2 as responses are 0 or 1
+         //
+         arma::mat var_covar_mat = varCovarMat(x_design, b_vector);
+         double se = pow(var_covar_mat(1,1), 0.5);
+
+         // Zeros will result in bad regression with large SE - firth regression helps
+         if (se > se_limit)
+         {
+            throw std::runtime_error("se>limit");
+         }
+         else
+         {
+            k.standard_error(se);
+
+            double W = std::abs(b_vector(1)) / se; // null hypothesis b_1 = 0
+            k.p_val(normalPval(W));
 
 #ifdef SEER_DEBUG
-      std::cerr << "Wald statistic: " << W << "\n";
-      std::cerr << "p-value: " << k.p_val() << "\n";
+            std::cerr << "Wald statistic: " << W << "\n";
+            std::cerr << "p-value: " << k.p_val() << "\n";
 #endif
-   }
-   // Sometimes won't converge, use N-R instead
-   catch (std::exception& e)
-   {
-      k.add_comment("bfgs-fail");
-      newtonRaphson(k, y_train, x_design);
+            // Add in covariate p-values
+            for (unsigned int i = 2; i < var_covar_mat.n_rows; ++i)
+            {
+               se = pow(var_covar_mat(i,i), 0.5);
+               W = std::abs(b_vector(i)) / se;
+
+               k.add_covar_p(normalPval(W));
+            }
+         }
+      }
+      // Sometimes won't converge, use N-R instead
+      catch (std::exception& e)
+      {
+#ifdef SEER_DEBUG
+         std::cerr << "Caught error " << e.what() << std::endl;
+#endif
+
+         // SE is greater than specified limit - run Firth regression
+         if (strcmp(e.what(), "se>limit") == 0)
+         {
+            k.add_comment("large-se");
+            newtonRaphson(k, y_train, x_design, 1);
+         }
+         // BFGS optimiser did not converge - use NR iterations w/o Firth first
+         // Could also be matrix inversion failing
+         else
+         {
+            k.add_comment("bfgs-fail");
+            newtonRaphson(k, y_train, x_design);
+         }
+      }
    }
 }
 
@@ -80,6 +121,7 @@ void newtonRaphson(Kmer& k, const arma::vec& y_train, const arma::mat& x_design,
    // Also useful to keep second derivative, for calculating p-value
    std::vector<arma::vec> parameter_iterations;
    arma::mat var_covar_mat;
+   int failed = 0;
 
    // Could get starting point from a linear regression, which is fast
    // and will reduce number of n-r iterations
@@ -96,28 +138,41 @@ void newtonRaphson(Kmer& k, const arma::vec& y_train, const arma::mat& x_design,
       arma::vec b0 = parameter_iterations.back();
       arma::vec y_pred = predictLogitProbs(x_design, b0);
 
-      arma::vec b1 = b0;
-      var_covar_mat = inv_covar(x_design.t() * diagmat(y_pred % (arma::ones(y_pred.n_rows) - y_pred)) * x_design);
+      arma::mat U(x_design.n_cols, 1);
+      arma::mat W = repmat(y_pred % (arma::ones(y_pred.n_rows) - y_pred), 1, x_design.n_cols);
+
+      // Perform inversion, which may fail
+      var_covar_mat = inv_covar(x_design.t() * (W % x_design));
+      if (var_covar_mat.n_cols == 0 || var_covar_mat.n_rows == 0)
+      {
+         k.add_comment("inv-fail");
+         k.p_val(0);
+
+         failed = 1;
+         break;
+      }
+
       if (firth)
       {
          // Firth logistic regression
          // See: DOI: 10.1002/sim.1047
-         arma::mat W = diagmat(y_pred * (1 - y_pred));
          // Hat matrix
          // Note: W is diagonal so X.t() * W * X is still sympd
-         arma::mat H = sqrt(W) * x_design * inv_covar(x_design.t() * W * x_design) * x_design.t() * sqrt(W);
+         arma::mat H = (sqrt(W) % x_design) * var_covar_mat * (x_design.t() % sqrt(W).t());
 
          arma::vec correction(y_train.n_rows);
          correction.fill(0.5);
 
-         b1 += var_covar_mat * (y_train - y_pred + diagmat(H) % (correction - y_pred));
+         // Penalised score
+         U = x_design.t() * (y_train - y_pred + diagvec(H) % (correction - y_pred));
       }
       else
       {
-         b1 += var_covar_mat * x_design.t() * (y_train - y_pred);
+         U = x_design.t() * (y_train - y_pred);
       }
-      parameter_iterations.push_back(b1);
 
+      arma::vec b1 = b0 + var_covar_mat * U;
+      parameter_iterations.push_back(b1);
       if (std::abs(b1(1) - b0(1)) < convergence_limit)
       {
          break;
@@ -125,7 +180,7 @@ void newtonRaphson(Kmer& k, const arma::vec& y_train, const arma::mat& x_design,
    }
 
 #ifdef SEER_DEBUG
-   std::cerr << "Number of iterations: " << parameter_iterations.size() << "\n";
+   std::cerr << "Number of iterations: " << parameter_iterations.size() - 1 << "\n";
 #endif
    // If convergence not reached, try Firth logistic regression
    if (parameter_iterations.size() == max_nr_iterations)
@@ -140,13 +195,26 @@ void newtonRaphson(Kmer& k, const arma::vec& y_train, const arma::mat& x_design,
          k.add_comment("firth-fail");
       }
    }
-   else
+   else if (!failed)
    {
       k.beta(parameter_iterations.back()(1));
 
       double se = pow(var_covar_mat(1,1), 0.5);
       k.standard_error(se);
 
+      // Deal with large SEs
+      if (se > se_limit)
+      {
+         if (!firth)
+         {
+            newtonRaphson(k, y_train, x_design, 1);
+         }
+         else
+         {
+            k.add_comment("large-se");
+         }
+      }
+
       double W = std::abs(k.beta()) / se;
       k.p_val(normalPval(W));
 
@@ -154,6 +222,14 @@ void newtonRaphson(Kmer& k, const arma::vec& y_train, const arma::mat& x_design,
       std::cerr << "Wald statistic: " << W << "\n";
       std::cerr << "p-value: " << k.p_val() << "\n";
 #endif
+      // Add in covariate p-values
+      for (unsigned int i = 2; i< var_covar_mat.n_rows; ++i)
+      {
+         se = pow(var_covar_mat(i,i), 0.5);
+         W = std::abs(parameter_iterations.back()(i)) / se;
+
+         k.add_covar_p(normalPval(W));
+      }
    }
 }
 
diff --git a/src/seerChiFilter.cpp b/src/seerChiFilter.cpp
index ed7b87f..36d7301 100644
--- a/src/seerChiFilter.cpp
+++ b/src/seerChiFilter.cpp
@@ -10,8 +10,10 @@
 const double normalArea = pow(2*M_PI, -0.5);
 
 // Basic chi^2 test, using contingency table
-double chiTest(const arma::vec& x, const arma::vec& y)
+double chiTest(Kmer& k, const arma::vec& y)
 {
+   arma::mat x = k.get_x();
+
    double chisq = 0;
 
    // Contigency table
@@ -54,6 +56,19 @@ double chiTest(const arma::vec& x, const arma::vec& y)
       throw std::logic_error("Empty table for chisq test\n");
    }
 
+   // Treat as invalid if any entry is 0 or 1, or if more than one entry < 5
+   // Mark as needing to use Firth regression
+   int low_obs = 0;
+   for (auto obs = table.begin(); obs != table.end(); ++obs)
+   {
+      if (*obs <= 1 || (*obs <= 5 && ++low_obs > 2))
+      {
+         k.add_comment("bad-chisq");
+         k.firth(1);
+         break;
+      }
+   }
+
    // Without Yates' continuity correction
    chisq = N * pow(det(table), 2);
    for (int i = 0; i < 2; ++i)
@@ -71,29 +86,35 @@ double chiTest(const arma::vec& x, const arma::vec& y)
 }
 
 // Welch two sample t-test, for continuous phenotypes
-double welchTwoSamplet(const arma::vec& x, const arma::vec& y)
+double welchTwoSamplet(const Kmer& k, const arma::vec& y)
 {
+   arma::mat x = k.get_x();
+
    // Subset into present and absent groups
    arma::vec group1 = y.elem(find(x==0));
    arma::vec group2 = y.elem(find(x==1));
 
    // Calculate group means and variances
-   double x1 = mean(group1);
-   double x2 = mean(group2);
-   double v1 = var(group1);
-   double v2 = var(group2);
-
-   // t and degrees freedom for test
-   double t = (x1 - x2)*pow((v1/group1.n_rows + v2/group2.n_rows), -0.5);
-   double df = pow((v1/group1.n_rows + v2/group2.n_rows), 2) / (pow(v1/group1.n_rows,2)/(group1.n_rows-1) + pow(v2/group2.n_rows,2)/(group2.n_rows-1));
-
-   // Calculate p-value from t distribution
-   boost::math::students_t t_dist(df);
-   double p_val = 2 * (1 - boost::math::cdf(t_dist, t));
+   double p_val = 0;
+   if (group1.n_elem != 0 && group2.n_elem != 0)
+   {
+      double x1 = mean(group1);
+      double x2 = mean(group2);
+      double v1 = var(group1);
+      double v2 = var(group2);
+
+      // t and degrees freedom for test
+      double t = (x1 - x2)*pow((v1/group1.n_rows + v2/group2.n_rows), -0.5);
+      double df = pow((v1/group1.n_rows + v2/group2.n_rows), 2) / (pow(v1/group1.n_rows,2)/(group1.n_rows-1) + pow(v2/group2.n_rows,2)/(group2.n_rows-1));
+
+      // Calculate p-value from t distribution
+      boost::math::students_t t_dist(df);
+      p_val = 2 * (1 - boost::math::cdf(t_dist, t));
 #ifdef SEER_DEBUG
-   std::cerr << "welch t:" << t << "df:" << df << "\n";
-   std::cerr << "welch p-val:" << p_val << "\n";
+      std::cerr << "welch t:" << t << "df:" << df << "\n";
+      std::cerr << "welch p-val:" << p_val << "\n";
 #endif
+   }
 
    return p_val;
 }
diff --git a/src/seerCmdLine.cpp b/src/seerCmdLine.cpp
index efb34bb..05fdb16 100644
--- a/src/seerCmdLine.cpp
+++ b/src/seerCmdLine.cpp
@@ -39,7 +39,7 @@ int parseCommandLine (int argc, char *argv[], po::variables_map& vm)
    //NB pval cutoffs are strings for display, and are converted to floats later
    po::options_description filtering("Filtering options");
    filtering.add_options()
-    ("no_filtering", "turn off all filtering and peform tests on all kmers input")
+    ("no_filtering", "turn off all filtering and perform tests on all kmers input")
     ("max_length", po::value<long int>()->default_value(max_length_default), "maximum kmer length")
     ("maf", po::value<double>()->default_value(maf_default), "minimum kmer frequency")
     ("min_words", po::value<int>(), "minimum kmer occurences. Overrides --maf")
diff --git a/src/seerCommon.cpp b/src/seerCommon.cpp
index b3907a3..b7b231a 100644
--- a/src/seerCommon.cpp
+++ b/src/seerCommon.cpp
@@ -13,7 +13,6 @@ cmdOptions verifyCommandLine(boost::program_options::variables_map& vm, const st
 {
    cmdOptions verified;
 
-   verified.chi_cutoff = stod(vm["chisq"].as<std::string>());
    verified.max_length = vm["max_length"].as<long int>();
 
    if(vm.count("kmers"))
@@ -26,6 +25,11 @@ cmdOptions verifyCommandLine(boost::program_options::variables_map& vm, const st
       verified.output = vm["output"].as<std::string>();
    }
 
+   if(vm.count("chisq"))
+   {
+      verified.chi_cutoff = stod(vm["chisq"].as<std::string>());
+   }
+
    if (vm.count("pval"))
    {
       verified.log_cutoff = stod(vm["pval"].as<std::string>());
@@ -241,3 +245,4 @@ arma::mat inv_covar(arma::mat A)
 
    return B;
 }
+
diff --git a/src/seerContinuousAssoc.cpp b/src/seerContinuousAssoc.cpp
index 2b35b5a..e3ac469 100644
--- a/src/seerContinuousAssoc.cpp
+++ b/src/seerContinuousAssoc.cpp
@@ -78,7 +78,9 @@ void doLinear(Kmer& k, const arma::vec& y_train, const arma::mat& x_train)
    // MSE = sum(Y_i-Y'_i)^2 / n-2
    //
    double MSE = accu(square(y_train - predictLinearProbs(x_design, b))) / (x_train.n_rows - 2);
-   double se = pow((inv_covar(x_design.t()*x_design)(1,1) * MSE), 0.5);
+   arma::mat var_covar_mat = inv_covar(x_design.t()*x_design);
+
+   double se = pow((var_covar_mat(1,1) * MSE), 0.5);
    k.standard_error(se);
 
    double W = std::abs(k.beta()) / (se); // null hypothesis b_1 = 0
@@ -88,6 +90,15 @@ void doLinear(Kmer& k, const arma::vec& y_train, const arma::mat& x_train)
    std::cerr << "Wald statistic: " << W << "\n";
    std::cerr << "p-value: " << k.p_val() << "\n";
 #endif
+
+   // Add in covariate p-values
+   for (unsigned int i = 2; i < var_covar_mat.n_rows; ++i)
+   {
+      se = pow((var_covar_mat(i,i) * MSE), 0.5);
+      W = std::abs(b(i)) / (se);
+
+      k.add_covar_p(normalPval(W));
+   }
 }
 
 // returns y' = bx
diff --git a/src/seerFilter.cpp b/src/seerFilter.cpp
index 085b214..b0c9e6a 100644
--- a/src/seerFilter.cpp
+++ b/src/seerFilter.cpp
@@ -9,7 +9,7 @@
 #include "seercommon.hpp"
 
 // Wrapper to all filter functions
-int passFilters(const cmdOptions& filterOptions, Kmer& k, const std::vector<Sample>& samples, const arma::vec& y, const int continuous_phenotype)
+int passFilters(const cmdOptions& filterOptions, Kmer& k, const std::vector<Sample>& samples, const arma::vec& y, const int continuous_phenotype, const bool do_stats)
 {
    int pass = 0;
 
@@ -18,14 +18,17 @@ int passFilters(const cmdOptions& filterOptions, Kmer& k, const std::vector<Samp
       // Don't bother with this if not running stats tests
       pass = 1;
 
-      try  // Some chi^2 tests may diverge - proceed anyway for now
+      if (do_stats)
       {
-         pass = passStatsFilters(k.get_x(), y, filterOptions.chi_cutoff, continuous_phenotype, filterOptions.positive);
-      }
-      catch (std::exception& e)
-      {
-         std::cerr << "kmer " + k.sequence() + " failed chisq test with error: " + e.what() + "\n";
-         pass = 1;
+         try  // Some chi^2 tests may diverge - proceed anyway for now
+         {
+            pass = passStatsFilters(k, y, filterOptions.chi_cutoff, continuous_phenotype, filterOptions.positive);
+         }
+         catch (std::exception& e)
+         {
+            std::cerr << "kmer " + k.sequence() + " failed chisq test with error: " + e.what() + "\n";
+            pass = 1;
+         }
       }
    }
 
@@ -53,13 +56,14 @@ int passBasicFilters(const Kmer& k, const int max_length, const int min_words, c
    return passed;
 }
 
-int passStatsFilters(const arma::vec& x, const arma::vec& y, const double chi_cutoff, const int continuous_phenotype, const int positive_only)
+int passStatsFilters(Kmer& k, const arma::vec& y, const double chi_cutoff, const int continuous_phenotype, const int positive_only)
 {
    int passed = 1;
 
    if (continuous_phenotype)
    {
-      if (welchTwoSamplet(x, y) > chi_cutoff)
+      k.unadj_p_val(welchTwoSamplet(k, y));
+      if (k.unadj() > chi_cutoff)
       {
          passed = 0;
       }
@@ -68,15 +72,25 @@ int passStatsFilters(const arma::vec& x, const arma::vec& y, const double chi_cu
    {
       // Test positive effects only
       // i.e. having kmer associates with having phenotype
-      if (positive_only && dot(y - x, y - x) <= 0.5*y.n_rows)
+      if (positive_only)
       {
-         passed = 0;
+         arma::mat x = k.get_x();
+         if (dot(y - x, y - x) <= 0.5*y.n_rows)
+         {
+            passed = 0;
+         }
       }
-      else if (chiTest(x, y) > chi_cutoff)
+
+      if (passed)
       {
-         passed = 0;
+         k.unadj_p_val(chiTest(k, y));
+         if (k.unadj() > chi_cutoff)
+         {
+            passed = 0;
+         }
       }
    }
 
    return passed;
 }
+
diff --git a/src/seerIO.cpp b/src/seerIO.cpp
index 82e39a2..65a3b03 100644
--- a/src/seerIO.cpp
+++ b/src/seerIO.cpp
@@ -29,18 +29,22 @@ void readPheno(const std::string& filename, std::vector<Sample>& samples, std::u
       throw std::runtime_error("Could not open pheno file " + filename + "\n");
    }
 
+   // Read in
    Sample s;
-   int sample_index = 0;
    while (ist >> s)
    {
       samples.push_back(s);
 
-      sample_map[s.iid()] = sample_index;
-      sample_index++;
    }
 
    // Always keep samples sorted, for consistency between programs
    std::sort(samples.begin(), samples.end(), Sample::compareSamples);
+
+   // Map of sample names to index in vector
+   for (unsigned int sample_index = 0; sample_index < samples.size(); ++sample_index)
+   {
+      sample_map[samples[sample_index].iid()] = sample_index;
+   }
 }
 
 // Open dsm files, which are possibly zipped
@@ -77,9 +81,34 @@ arma::vec constructVecY(const std::vector<Sample>& samples)
    return y;
 }
 
-void writeMDS(const std::string& file_name, const arma::mat& MDS)
+// Also saves sample information
+void writeMDS(const std::string& file_name, const std::vector<Sample>& sample_names, const arma::mat& MDS)
 {
-   MDS.save(file_name, arma::hdf5_binary);
+   if (MDS.n_rows == sample_names.size())
+   {
+      MDS.save(file_name, arma::hdf5_binary);
+
+      std::string sample_file_name = file_name + sample_suffix;
+      std::ofstream sample_names_file(sample_file_name.c_str());
+
+      // Write out the sample name order
+      if (!sample_names_file)
+      {
+         std::cerr << "Could not write used sample names to " << sample_file_name << std::endl;
+      }
+      else
+      {
+         for (auto sample_it = sample_names.begin(); sample_it != sample_names.end(); ++sample_it)
+         {
+            sample_names_file << sample_it->iid() << std::endl;
+         }
+      }
+   }
+   else
+   {
+      throw std::logic_error("When writing matrix to " + file_name + " the number samples in the .pheno file did not match the number of columns or rows");
+   }
+
 }
 
 void writeDistances(const std::string& file_name, const arma::mat& distances)
@@ -87,19 +116,76 @@ void writeDistances(const std::string& file_name, const arma::mat& distances)
    distances.save(file_name, arma::csv_ascii);
 }
 
-arma::mat readMDS(const std::string& file_name)
+arma::mat readHDF5(const std::string& file_name)
 {
-   arma::mat MDS;
+   arma::mat HDF5;
 
    if (fileStat(file_name))
    {
-      MDS.load(file_name, arma::hdf5_binary);
+      HDF5.load(file_name, arma::hdf5_binary);
    }
    else
    {
       throw std::runtime_error("Problem with loading MDS input file " + file_name);
    }
 
+   return HDF5;
+}
+
+arma::mat readMDS(const std::string& file_name, const std::vector<Sample>& sample_names)
+{
+   arma::mat MDS = readHDF5(file_name);
+
+   // Check that the sample names match up
+   std::string sample_name_file = file_name + sample_suffix;
+   if (fileStat(sample_name_file))
+   {
+      std::ifstream samples_in(sample_name_file.c_str());
+      if (samples_in)
+      {
+         arma::uvec keep_indices(sample_names.size());
+         unsigned int sample_row = 0;
+         unsigned int file_row = 0;
+
+         while (samples_in)
+         {
+            std::string sample_name;
+            samples_in >> sample_name;
+
+            // Must be ordered, and lines in sample_names be a subset of what
+            // is in the file. Otherwise a non-compatible mds will be returned
+            // which will throw
+            if (sample_name == sample_names.at(sample_row).iid())
+            {
+               keep_indices(sample_row) = file_row;
+               if (++sample_row >= sample_names.size())
+               {
+                  break;
+               }
+            }
+            ++file_row;
+         }
+
+         // Only keep the rows where the pheno file has data
+         if (sample_row == sample_names.size())
+         {
+            MDS = MDS.rows(keep_indices);
+         }
+         else
+         {
+            throw std::runtime_error("Could not find all samples in input .pheno file in --struct mat. Was kmds run with all samples included?");
+         }
+      }
+      else
+      {
+         std::cerr << "WARNING: Could not open sample file " + sample_name_file + ". Ensure kmds and seer -p inputs were identical" << std::endl;
+      }
+   }
+   else
+   {
+      std::cerr << "WARNING: Could not find sample file " + sample_name_file + ". Ensure kmds and seer -p inputs were identical" << std::endl;
+   }
+
    return MDS;
 }
 
@@ -120,7 +206,7 @@ arma::mat readMDSList(const std::string& filename)
    int i = 0;
    while (ist >> matrix_file)
    {
-      combined_matrix = join_rows(combined_matrix, readMDS(matrix_file));
+      combined_matrix = join_rows(combined_matrix, readHDF5(matrix_file));
 
       std::cerr << "Joined matrix " << ++i << "\n";
    }
diff --git a/src/seerMain.cpp b/src/seerMain.cpp
index b35fbbb..41bcca1 100644
--- a/src/seerMain.cpp
+++ b/src/seerMain.cpp
@@ -29,7 +29,16 @@ int main (int argc, char *argv[])
    // Open .pheno file, parse into vector of samples
    std::vector<Sample> samples;
    std::unordered_map<std::string,int> sample_map;
-   readPheno(vm["pheno"].as<std::string>(), samples, sample_map);
+
+   if (vm.count("pheno"))
+   {
+      readPheno(vm["pheno"].as<std::string>(), samples, sample_map);
+   }
+   else
+   {
+      throw std::runtime_error("--pheno option is compulsory");
+   }
+
    arma::vec y = constructVecY(samples);
    int continuous_phenotype = continuousPhenotype(samples);
 
@@ -38,7 +47,7 @@ int main (int argc, char *argv[])
    int use_mds = 0;
    if (vm.count("struct"))
    {
-      mds = readMDS(vm["struct"].as<std::string>());
+      mds = readMDS(vm["struct"].as<std::string>(), samples);
       use_mds = 1;
 
       if (mds.n_rows != samples.size())
@@ -94,10 +103,22 @@ int main (int argc, char *argv[])
    openDsmFile(kmer_file, parameters.kmers);
 
    // Write a header
-   std::cout << "sequence\tmaf\tunadj_p_val\tp_val\tbeta\tse\tcomments";
+   if (use_mds)
+   {
+      std::cout << "sequence\tmaf\tunadj_p_val\tp_val\tbeta\tse";
+      for (unsigned int i = 1; i <= mds.n_cols; ++i)
+      {
+         std::cout << "\tcovar" << i << "_p";
+      }
+      std::cout << "\tcomments";
+   }
+   else
+   {
+      std::cout << "sequence\tmaf\tunadj_p_val\tp_val\tbeta\tse\tcomments";
+   }
    if (parameters.print_samples)
    {
-      std::cout << "samples_present";
+      std::cout << "\tsamples_present";
    }
    std::cout << std::endl;
 
@@ -176,11 +197,11 @@ int main (int argc, char *argv[])
             {
                if (continuous_phenotype)
                {
-                  kmer_lines[i].unadj_p_val(welchTwoSamplet(kmer_lines[i].get_x(), y));
+                  kmer_lines[i].unadj_p_val(welchTwoSamplet(kmer_lines[i], y));
                }
                else
                {
-                  kmer_lines[i].unadj_p_val(chiTest(kmer_lines[i].get_x(), y));
+                  kmer_lines[i].unadj_p_val(chiTest(kmer_lines[i], y));
                }
             }
 
@@ -197,7 +218,7 @@ int main (int argc, char *argv[])
                }
                std::cout << samples_found.back();
             }
-            std::cout << "\n";
+            std::cout << std::endl;
 
          }
       }
diff --git a/src/seercommon.hpp b/src/seercommon.hpp
index 32f81a6..a1b865a 100644
--- a/src/seercommon.hpp
+++ b/src/seercommon.hpp
@@ -48,6 +48,8 @@ const std::string chisq_default = "10e-5";
 
 typedef dlib::matrix<double,0,1> column_vector;
 
+const std::string sample_suffix = ".samples";
+
 // Structs
 struct cmdOptions
 {
@@ -94,9 +96,11 @@ void openDsmFile(igzstream& dsm_file, const std::string& file_name);
 arma::vec constructVecY(const std::vector<Sample>& samples);
 arma::vec constructVecX(const Kmer& k, const std::vector<Sample>& samples);
 
-void writeMDS(const std::string& file_name, const arma::mat& MDS);
+arma::mat readHDF5(const std::string& file_name);
+
+void writeMDS(const std::string& file_name, const std::vector<Sample>& sample_names, const arma::mat& MDS);
 void writeDistances(const std::string& file_name, const arma::mat& distances);
-arma::mat readMDS(const std::string& file_name);
+arma::mat readMDS(const std::string& file_name, const std::vector<Sample>& sample_names);
 arma::mat readMDSList(const std::string& filename);
 
 arma::mat parseCovars(const std::string& file, const std::string& columns);
@@ -106,12 +110,12 @@ arma::mat encodeDummy(const std::vector<std::string>& in_col);
 int fileStat(const std::string& filename);
 
 // seerFilter headers
-int passFilters(const cmdOptions& filterOptions, Kmer& k, const std::vector<Sample>& samples, const arma::vec& y, const int continuous_phenotype);
+int passFilters(const cmdOptions& filterOptions, Kmer& k, const std::vector<Sample>& samples, const arma::vec& y, const int continuous_phenotype, const bool do_stats = 1);
 int passBasicFilters(const Kmer& k, const int max_length, const int min_words, const int max_words);
-int passStatsFilters(const arma::vec& x, const arma::vec& y, const double chi_cutoff, const int continuous_phenotype, const int positive_only);
+int passStatsFilters(Kmer& k, const arma::vec& y, const double chi_cutoff, const int continuous_phenotype, const int positive_only);
 
 // seerChiFilter headers
-double chiTest(const arma::vec& x, const arma::vec& y);
-double welchTwoSamplet(const arma::vec& x, const arma::vec& y);
+double chiTest(Kmer& k, const arma::vec& y);
+double welchTwoSamplet(const Kmer& k, const arma::vec& y);
 double normalPval(double testStatistic);
 
diff --git a/src/significant_kmer.cpp b/src/significant_kmer.cpp
index ccf2223..c4abc4a 100644
--- a/src/significant_kmer.cpp
+++ b/src/significant_kmer.cpp
@@ -9,11 +9,18 @@
 #include "significant_kmer.hpp"
 
 Significant_kmer::Significant_kmer()
+   :_num_covars(default_covars)
+{
+}
+
+Significant_kmer::Significant_kmer(const int num_covars)
+   :_num_covars(num_covars)
 {
 }
 
 Significant_kmer::Significant_kmer(const std::string& word, const std::vector<std::string>& samples, const double maf, const double unadj_p, const double adj_p, const double beta, const double se, const std::string& comments)
-   :_word(word), _samples(samples), _maf(maf), _unadj_p(unadj_p), _adj_p(adj_p), _beta(beta), _se(se), _comment(comments)
+   :_word(word), _samples(samples), _maf(maf), _unadj_p(unadj_p), _adj_p(adj_p), _beta(beta), _se(se), _comment(comments),
+   _num_covars(default_covars)
 {
 }
 
@@ -37,6 +44,12 @@ std::istream& operator>>(std::istream &is, Significant_kmer& sk)
    line_stream >> beta;
    line_stream >> se;
 
+   // Ignore the covariate fields
+   for (unsigned int i = 0; i < sk.num_covars(); ++i)
+   {
+      line_stream.ignore(std::numeric_limits<std::streamsize>::max(), ' ');
+   }
+
    line_stream >> comments;
 
    // Read remainder of line, which is sample names, in the same way they were
@@ -56,15 +69,54 @@ std::ostream& operator<<(std::ostream &os, const Significant_kmer& k)
    os << k.sequence() << "\t"
       << std::fixed << std::setprecision(3) << k.maf() << "\t"
       << std::scientific << k.unadj() << "\t" << k.p_val() << "\t" << k.beta() << "\t" << k.se()
-      << k.comments();
+      << "\t" << k.comments();
 
    std::vector<std::string> samples_found = k.samples_found();
-   std::copy(samples_found.begin(), samples_found.end() - 1, std::ostream_iterator<std::string>(os, "\t"));
-   os << samples_found.back();
+   if (samples_found.size() > 0)
+   {
+      os << "\t";
+      std::copy(samples_found.begin(), samples_found.end() - 1, std::ostream_iterator<std::string>(os, "\t"));
+      os << samples_found.back();
+   }
 
    return os;
 }
 
+unsigned int Significant_kmer::num_covars() const
+{
+   unsigned int covars = 0;
+   if (_covar_p.size() > 0)
+   {
+      covars =_covar_p.size();
+   }
+   else
+   {
+      covars =_num_covars;
+   }
+
+   return covars;
+}
+
+// Returns number of excess columns (i.e. number of covariate fields)
+int parseHeader(const std::string& header_line)
+{
+   std::istringstream iss(header_line);
+
+   int num_cols = 0;
+   do
+   {
+      std::string col;
+      iss >> col;
+      if (col.length() > 0)
+      {
+         num_cols++;
+      }
+   }
+   while(iss);
+
+   return num_cols - standard_cols;
+}
+
 sortSigKmer::sortSigKmer()
    :_sort_field(0)
 {
@@ -131,3 +183,4 @@ bool sortSigKmer::operator() (const Significant_kmer& sk1, const Significant_kme
    }
    return compare;
 }
+
diff --git a/src/significant_kmer.hpp b/src/significant_kmer.hpp
index c9df3de..bd27aff 100644
--- a/src/significant_kmer.hpp
+++ b/src/significant_kmer.hpp
@@ -12,12 +12,16 @@
 #include <iterator>
 #include <algorithm>
 
+const int default_covars = 0;
+const int standard_cols = 7;
+
 // kmers have a sequence, and a list of samples they appear in
 class Significant_kmer
 {
    public:
       // Initialisation
       Significant_kmer();
+      Significant_kmer(const int num_covars);
       Significant_kmer(const std::string& word, const std::vector<std::string>& samples, const double maf, const double unadj_p, const double adj_p, const double beta, const double se, const std::string& comments);
 
       // nonmodifying operations
@@ -29,6 +33,8 @@ class Significant_kmer
       double beta() const { return _beta; }
       double se() const { return _se; }
       std::string comments() const { return _comment; }
+      std::vector<double> covar_p() const { return _covar_p; }
+      unsigned int num_covars() const; // Defined in significant_kmer.cpp
 
       // Modifying operations
       void p_val(const double pvalue) { _adj_p = pvalue; }
@@ -36,6 +42,7 @@ class Significant_kmer
       void beta(const double b) { _beta = b; }
       void standard_error(const double se) { _se = se; }
       void set_maf(const double maf) { _maf = maf; }
+      void add_covar_p(const double new_covar_p) { _covar_p.push_back(new_covar_p); }
 
 
    protected:
@@ -47,7 +54,11 @@ class Significant_kmer
       double _adj_p;
       double _beta;
       double _se;
+      std::vector<double> _covar_p;
       std::string _comment;
+
+   private:
+      int _num_covars;
 };
 
 class sortSigKmer
@@ -71,3 +82,6 @@ std::istream& operator>>(std::istream &is, Significant_kmer& sk);
 
 std::ostream& operator<<(std::ostream &os, const Significant_kmer& k);
 
+// Function for reading header to find number of covariate fields
+int parseHeader(const std::string& header_line);
+
diff --git a/test/Makefile b/test/Makefile
index 074d155..57be305 100755
--- a/test/Makefile
+++ b/test/Makefile
@@ -1,8 +1,8 @@
 all:
-	echo "Tests not yet implemented" > tests_passed.txt
+	./run_test.pl && touch tests_passed
 
 clean:
-	$(RM) *.o ~* tests_passed.txt
+	$(RM) *.o ~* tests_passed
 
 test: all
 
diff --git a/test/all_structure_new b/test/all_structure_new
new file mode 100644
index 0000000..09d534b
Binary files /dev/null and b/test/all_structure_new differ
diff --git a/test/all_structure_new.samples b/test/all_structure_new.samples
new file mode 100644
index 0000000..db76f61
--- /dev/null
+++ b/test/all_structure_new.samples
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+7038_8#41
+7038_8#42
+7038_8#43
+7038_8#44
+7038_8#45
+7038_8#47
+7038_8#48
+7054_4#1
+7054_4#10
+7054_4#11
+7054_4#12
+7054_4#13
+7054_4#14
+7054_4#15
+7054_4#16
+7054_4#17
+7054_4#18
+7054_4#19
+7054_4#2
+7054_4#20
+7054_4#21
+7054_4#22
+7054_4#23
+7054_4#24
+7054_4#3
+7054_4#4
+7054_4#5
+7054_4#6
+7054_4#7
+7054_4#8
+7054_4#9
+7054_5#1
+7054_5#10
+7054_5#11
+7054_5#12
+7054_5#13
+7054_5#14
+7054_5#15
+7054_5#16
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+7054_5#20
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+7054_5#23
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+7054_5#7
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+7054_6#1
+7054_6#10
+7054_6#11
+7054_6#12
+7054_6#13
+7054_6#14
+7054_6#15
+7054_6#16
+7054_6#17
+7054_6#18
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+7054_6#22
+7054_6#23
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+7054_6#3
+7054_6#4
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+7068_4#1
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+7068_4#22
+7068_4#23
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+7068_4#3
+7068_4#4
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+7068_4#6
+7068_4#7
+7068_4#8
+7068_4#9
+7092_6#10
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+7092_6#16
+7092_6#17
+7092_6#18
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+7092_6#2
+7092_6#20
+7092_6#21
+7092_6#22
+7092_6#23
+7092_6#24
+7092_6#3
+7092_6#4
+7092_6#5
+7092_6#6
+7092_6#7
+7092_6#8
+7092_6#9
diff --git a/test/covariates.txt b/test/covariates.txt
new file mode 100644
index 0000000..85897df
--- /dev/null
+++ b/test/covariates.txt
@@ -0,0 +1,200 @@
+6259_5#1	1	1
+6259_5#2	2	2
+6259_5#3	3	0
+6259_5#4	4	1
+6259_5#5	5	2
+6259_5#6	6	0
+6259_5#7	7	1
+6259_5#8	8	2
+6259_5#9	9	0
+6259_5#10	10	1
+6259_5#12	11	2
+6259_5#13	12	0
+6259_5#14	13	1
+6259_5#15	14	2
+6259_5#16	15	0
+6259_5#17	16	1
+6259_5#18	17	2
+6259_5#19	18	0
+6259_5#20	19	1
+6259_5#21	20	2
+6259_5#22	21	0
+6259_5#23	22	1
+6259_5#24	23	2
+6259_6#1	24	0
+6259_6#2	25	1
+6259_6#3	26	2
+6259_6#4	27	0
+6259_6#5	28	1
+6259_6#6	29	2
+6259_6#7	30	0
+6259_6#8	31	1
+6259_6#9	32	2
+6259_6#10	33	0
+6259_6#11	34	1
+6259_6#12	35	2
+6259_6#13	36	0
+6259_6#14	37	1
+6259_6#15	38	2
+6259_6#16	39	0
+6259_6#17	40	1
+6259_6#18	41	2
+6259_6#19	42	0
+6259_6#20	43	1
+6259_6#21	44	2
+6259_6#22	45	0
+6259_6#23	46	1
+6259_6#24	47	2
+6259_7#1	48	0
+6259_7#2	49	1
+6259_7#3	50	2
+6259_7#4	51	0
+6259_7#5	52	1
+6259_7#6	53	2
+6259_7#7	54	0
+6259_7#8	55	1
+6259_7#9	56	2
+6259_7#10	57	0
+6259_7#11	58	1
+6259_7#12	59	2
+6259_7#13	60	0
+6259_7#14	61	1
+6259_7#15	62	2
+6259_7#16	63	0
+6259_7#17	64	1
+6259_7#18	65	2
+6259_7#19	66	0
+6259_7#20	67	1
+6259_7#21	68	2
+6259_7#22	69	0
+6259_7#23	70	1
+6259_7#24	71	2
+6259_8#1	72	0
+6259_8#2	73	1
+6259_8#3	74	2
+6259_8#4	75	0
+6259_8#5	76	1
+6259_8#6	77	2
+6259_8#7	78	0
+6259_8#8	79	1
+6259_8#9	80	2
+6259_8#10	81	0
+6259_8#11	82	1
+6259_8#12	83	2
+6259_8#13	84	0
+6259_8#14	85	1
+6259_8#15	86	2
+6259_8#16	87	0
+6259_8#17	88	1
+6259_8#18	89	2
+6259_8#19	90	0
+6259_8#20	91	1
+6259_8#21	92	2
+6259_8#22	93	0
+6259_8#23	94	1
+6259_8#24	95	2
+6593_4#1	96	0
+6593_4#2	97	1
+6593_4#3	98	2
+6593_4#4	99	0
+6593_4#5	100	1
+6593_4#6	101	2
+6593_4#7	102	0
+6593_4#8	103	1
+6593_4#9	104	2
+6593_4#10	105	0
+6593_4#11	106	1
+6593_4#12	107	2
+6593_4#13	108	0
+6593_4#14	109	1
+6593_4#15	110	2
+6593_4#16	111	0
+6593_4#17	112	1
+6593_4#18	113	2
+6593_4#19	114	0
+6593_4#20	115	1
+6593_4#21	116	2
+6593_4#22	117	0
+6593_4#23	118	1
+6593_4#24	119	2
+6593_5#1	120	0
+6593_5#2	121	1
+6593_5#3	122	2
+6593_5#4	123	0
+6593_5#5	124	1
+6593_5#6	125	2
+6593_5#7	126	0
+6593_5#8	127	1
+6593_5#9	128	2
+6593_5#10	129	0
+6593_5#11	130	1
+6593_5#12	131	2
+6593_5#13	132	0
+6593_5#14	133	1
+6593_5#15	134	2
+6593_5#16	135	0
+6593_5#17	136	1
+6593_5#18	137	2
+6593_5#19	138	0
+6593_5#20	139	1
+6593_5#21	140	2
+6593_5#22	141	0
+6593_5#23	142	1
+6593_5#24	143	2
+6641_6#1	144	0
+6641_6#2	145	1
+6641_6#3	146	2
+6641_6#4	147	0
+6641_6#5	148	1
+6641_6#6	149	2
+6641_6#7	150	0
+6641_6#8	151	1
+6641_6#9	152	2
+6641_6#10	153	0
+6641_6#11	154	1
+6641_6#12	155	2
+6641_6#13	156	0
+6641_6#14	157	1
+6641_6#15	158	2
+6641_6#16	159	0
+6641_6#17	160	1
+6641_6#18	161	2
+6641_6#19	162	0
+6641_6#20	163	1
+6641_6#21	164	2
+6641_6#22	165	0
+6641_6#23	166	1
+6641_6#24	167	2
+6649_8#1	168	0
+6649_8#2	169	1
+6649_8#3	170	2
+6649_8#4	171	0
+6649_8#5	172	1
+6649_8#6	173	2
+6649_8#7	174	0
+6649_8#8	175	1
+6649_8#9	176	2
+6649_8#10	177	0
+6649_8#11	178	1
+6649_8#12	179	2
+6649_8#13	180	0
+6649_8#14	181	1
+6649_8#15	182	2
+6649_8#16	183	0
+6649_8#17	184	1
+6649_8#18	185	2
+6649_8#19	186	0
+6649_8#20	187	1
+6649_8#21	188	2
+6649_8#22	189	0
+6649_8#23	190	1
+6649_8#24	191	2
+6680_8#1	192	0
+6680_8#2	193	1
+6680_8#3	194	2
+6680_8#4	195	0
+6680_8#5	196	1
+6680_8#6	197	2
+6680_8#7	198	0
+6680_8#8	199	1
+6680_8#9	200	2
diff --git a/test/filter_in.txt b/test/filter_in.txt
new file mode 100644
index 0000000..dabdda0
--- /dev/null
+++ b/test/filter_in.txt
@@ -0,0 +1,175 @@
+sequence	maf	unadj_p_val	p_val	beta	se	covar1_p	covar2_p	covar3_p	comments
+AAAAAAAAAAAAAAAAAAAT	0.055	1.379e-02	4.776e-02	1.819e+00	9.189e-01	4.800e-01	9.382e-01	9.666e-01	bad-chisq
+AAAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAA	0.080	6.443e-03	1.346e-02	1.919e+00	7.764e-01	3.663e-01	9.671e-01	7.761e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.080	6.443e-03	1.346e-02	1.919e+00	7.764e-01	3.663e-01	9.671e-01	7.761e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAATGCATATTTATCTTAG	0.080	6.443e-03	1.346e-02	1.919e+00	7.764e-01	3.663e-01	9.671e-01	7.761e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAATGCATATTTATCTT	0.085	3.982e-03	9.981e-03	1.989e+00	7.721e-01	3.645e-01	9.618e-01	8.177e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAATGCATATTTATCT	0.085	3.982e-03	9.981e-03	1.989e+00	7.721e-01	3.645e-01	9.618e-01	8.177e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAATGCATATTTAT	0.085	3.982e-03	9.981e-03	1.989e+00	7.721e-01	3.645e-01	9.618e-01	8.177e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAATGCATAT	0.085	3.982e-03	9.981e-03	1.989e+00	7.721e-01	3.645e-01	9.618e-01	8.177e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAATGCAT	0.085	3.982e-03	9.981e-03	1.989e+00	7.721e-01	3.645e-01	9.618e-01	8.177e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAATGCA	0.085	3.982e-03	9.981e-03	1.989e+00	7.721e-01	3.645e-01	9.618e-01	8.177e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAATG	0.085	3.982e-03	9.981e-03	1.989e+00	7.721e-01	3.645e-01	9.618e-01	8.177e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAAT	0.100	1.784e-02	2.142e-02	1.343e+00	5.840e-01	3.693e-01	9.802e-01	8.779e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAG	0.100	1.784e-02	2.303e-02	1.325e+00	5.830e-01	4.360e-01	9.382e-01	8.409e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.100	1.784e-02	2.303e-02	1.325e+00	5.830e-01	4.360e-01	9.382e-01	8.409e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.100	1.784e-02	2.303e-02	1.325e+00	5.830e-01	4.360e-01	9.382e-01	8.409e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.115	4.668e-03	7.813e-03	1.524e+00	5.730e-01	4.440e-01	8.681e-01	8.570e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAG	0.115	4.668e-03	7.813e-03	1.524e+00	5.730e-01	4.440e-01	8.681e-01	8.570e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCATATTTATCTT	0.120	2.937e-03	5.542e-03	1.581e+00	5.700e-01	4.436e-01	8.702e-01	8.947e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCATATTTATCT	0.120	2.937e-03	5.542e-03	1.581e+00	5.700e-01	4.436e-01	8.702e-01	8.947e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCATATTTAT	0.130	4.631e-03	7.210e-03	1.401e+00	5.215e-01	4.380e-01	8.632e-01	9.925e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCATAT	0.130	4.631e-03	7.210e-03	1.401e+00	5.215e-01	4.380e-01	8.632e-01	9.925e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCAT	0.130	4.631e-03	7.210e-03	1.401e+00	5.215e-01	4.380e-01	8.632e-01	9.925e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCA	0.130	4.631e-03	7.210e-03	1.401e+00	5.215e-01	4.380e-01	8.632e-01	9.925e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATG	0.130	4.631e-03	7.210e-03	1.401e+00	5.215e-01	4.380e-01	8.632e-01	9.925e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAT	0.145	1.460e-02	1.692e-02	1.103e+00	4.617e-01	4.254e-01	8.504e-01	9.926e-01	bfgs-fail
+AAAAAAAAAAAAAAAAA	0.175	3.743e-03	5.035e-03	1.214e+00	4.329e-01	4.415e-01	8.548e-01	8.861e-01	bfgs-fail
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGT	0.140	2.869e-01	2.909e-01	4.492e-01	4.253e-01	4.839e-01	8.594e-01	9.716e-01	bfgs-fail
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.140	2.869e-01	2.909e-01	4.492e-01	4.253e-01	4.839e-01	8.594e-01	9.716e-01	bfgs-fail
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.140	2.869e-01	2.909e-01	4.492e-01	4.253e-01	4.839e-01	8.594e-01	9.716e-01	bfgs-fail
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.140	2.869e-01	2.909e-01	4.492e-01	4.253e-01	4.839e-01	8.594e-01	9.716e-01	bfgs-fail
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.155	1.208e-01	1.251e-01	6.365e-01	4.150e-01	4.853e-01	8.472e-01	9.691e-01	bfgs-fail
+AAAAAAAAAAAAAAAATGCATATTTATCTTAG	0.185	3.320e-01	3.402e-01	3.586e-01	3.760e-01	4.944e-01	8.582e-01	9.872e-01	NA
+AAAAAAAAAAAAAAAATGCATATTTATCTT	0.190	2.614e-01	2.693e-01	4.125e-01	3.734e-01	4.941e-01	8.688e-01	9.826e-01	NA
+AAAAAAAAAAAAAAAATGCATATTTATCT	0.190	2.614e-01	2.693e-01	4.125e-01	3.734e-01	4.941e-01	8.688e-01	9.826e-01	NA
+AAAAAAAAAAAAAAAATGCATATTTAT	0.200	2.864e-01	2.939e-01	3.832e-01	3.650e-01	4.914e-01	8.630e-01	9.528e-01	NA
+AAAAAAAAAAAAAAAATGCATAT	0.200	2.864e-01	2.939e-01	3.832e-01	3.650e-01	4.914e-01	8.630e-01	9.528e-01	NA
+AAAAAAAAAAAAAAAATGCAT	0.200	2.864e-01	2.939e-01	3.832e-01	3.650e-01	4.914e-01	8.630e-01	9.528e-01	NA
+AAAAAAAAAAAAAAAATGCA	0.200	2.864e-01	2.939e-01	3.832e-01	3.650e-01	4.914e-01	8.630e-01	9.528e-01	NA
+AAAAAAAAAAAAAAAATG	0.200	2.864e-01	2.939e-01	3.832e-01	3.650e-01	4.914e-01	8.630e-01	9.528e-01	NA
+AAAAAAAAAAAAAAAAT	0.215	4.162e-01	4.195e-01	2.846e-01	3.526e-01	4.865e-01	8.436e-01	9.457e-01	NA
+AAAAAAAAAAAAAAAA	0.250	1.396e-01	1.407e-01	4.992e-01	3.389e-01	4.742e-01	8.688e-01	9.113e-01	NA
+AAAAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTTCAACTAAGGAGCTCATATGTTACTGCAAAAAGAACTAATTCCAATGATAGAAGC	0.065	1.003e-01	1.073e-01	1.090e+00	6.767e-01	4.461e-01	7.806e-01	8.882e-01	bfgs-fail
+AAAAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTT	0.065	1.003e-01	1.073e-01	1.090e+00	6.767e-01	4.461e-01	7.806e-01	8.882e-01	bfgs-fail
+AAAAAAAAAAAAAAAGTGTTAAAATAAA	0.070	6.602e-02	7.803e-02	1.179e+00	6.691e-01	4.705e-01	8.135e-01	9.195e-01	bfgs-fail
+AAAAAAAAAAAAAAAGTGTTAAAA	0.070	6.602e-02	7.803e-02	1.179e+00	6.691e-01	4.705e-01	8.135e-01	9.195e-01	bfgs-fail
+AAAAAAAAAAAAAAAGT	0.075	4.301e-02	5.301e-02	1.284e+00	6.636e-01	4.553e-01	7.770e-01	9.185e-01	bfgs-fail
+AAAAAAAAAAAAAAAG	0.090	4.172e-02	5.147e-02	1.143e+00	5.868e-01	5.056e-01	7.789e-01	9.206e-01	bfgs-fail
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTC	0.185	1.815e-01	1.739e-01	5.194e-01	3.819e-01	4.553e-01	8.548e-01	9.507e-01	bfgs-fail
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATC	0.185	1.815e-01	1.739e-01	5.194e-01	3.819e-01	4.553e-01	8.548e-01	9.507e-01	bfgs-fail
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTG	0.185	1.815e-01	1.739e-01	5.194e-01	3.819e-01	4.553e-01	8.548e-01	9.507e-01	bfgs-fail
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.185	1.815e-01	1.739e-01	5.194e-01	3.819e-01	4.553e-01	8.548e-01	9.507e-01	bfgs-fail
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.190	1.374e-01	1.356e-01	5.656e-01	3.790e-01	4.660e-01	8.608e-01	9.580e-01	bfgs-fail
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGA	0.190	1.374e-01	1.356e-01	5.656e-01	3.790e-01	4.660e-01	8.608e-01	9.580e-01	bfgs-fail
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACG	0.190	1.374e-01	1.356e-01	5.656e-01	3.790e-01	4.660e-01	8.608e-01	9.580e-01	bfgs-fail
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.190	1.374e-01	1.356e-01	5.656e-01	3.790e-01	4.660e-01	8.608e-01	9.580e-01	bfgs-fail
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.210	8.728e-02	8.829e-02	6.240e-01	3.661e-01	4.822e-01	8.481e-01	9.464e-01	NA
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTC	0.020	6.763e-02	2.379e-01	1.982e+00	1.680e+00	6.806e-01	9.106e-01	8.928e-01	bad-chisq
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATA	0.020	6.763e-02	2.379e-01	1.982e+00	1.680e+00	6.806e-01	9.106e-01	8.928e-01	bad-chisq
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACG	0.020	6.763e-02	2.379e-01	1.982e+00	1.680e+00	6.806e-01	9.106e-01	8.928e-01	bad-chisq
+AAAAAAAAAAAAAAA	0.385	1.865e-03	2.396e-03	9.314e-01	3.068e-01	6.072e-01	9.797e-01	9.386e-01	NA
+AAAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTTCAACTAAGGAGCTCATATGTTACTGCAAAAAGAACTAATTCCAATGATAGAAGCT	0.105	2.560e-01	2.732e-01	5.374e-01	4.905e-01	5.197e-01	8.365e-01	8.727e-01	bfgs-fail
+AAAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTT	0.105	2.560e-01	2.732e-01	5.374e-01	4.905e-01	5.197e-01	8.365e-01	8.727e-01	bfgs-fail
+AAAAAAAAAAAAAAGTGTTAAAATAAA	0.110	1.877e-01	2.085e-01	6.109e-01	4.857e-01	5.400e-01	8.626e-01	8.852e-01	bfgs-fail
+AAAAAAAAAAAAAAGTGTTAAAA	0.110	1.877e-01	2.085e-01	6.109e-01	4.857e-01	5.400e-01	8.626e-01	8.852e-01	bfgs-fail
+AAAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCATTGCATG	0.040	5.932e-02	1.118e-01	1.526e+00	9.600e-01	4.105e-01	6.984e-01	9.276e-01	bad-chisq
+AAAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCA	0.040	5.932e-02	1.118e-01	1.526e+00	9.600e-01	4.105e-01	6.984e-01	9.276e-01	bad-chisq
+AAAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGG	0.040	5.932e-02	1.118e-01	1.526e+00	9.600e-01	4.105e-01	6.984e-01	9.276e-01	bad-chisq
+AAAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACT	0.045	3.651e-02	7.759e-02	1.669e+00	9.458e-01	4.055e-01	6.478e-01	9.276e-01	bad-chisq
+AAAAAAAAAAAAAAGTTCAAAATG	0.045	3.651e-02	7.759e-02	1.669e+00	9.458e-01	4.055e-01	6.478e-01	9.276e-01	bad-chisq
+AAAAAAAAAAAAAAGTTCAAAAT	0.045	3.651e-02	7.759e-02	1.669e+00	9.458e-01	4.055e-01	6.478e-01	9.276e-01	bad-chisq
+AAAAAAAAAAAAAAGT	0.165	8.715e-03	1.143e-02	1.102e+00	4.358e-01	5.330e-01	7.826e-01	8.222e-01	bfgs-fail
+AAAAAAAAAAAAAAG	0.185	1.493e-02	1.838e-02	9.497e-01	4.028e-01	5.504e-01	8.143e-01	8.662e-01	NA
+AAAAAAAAAAAAAATGCATATTTATATTAGCAAAA	0.125	1.834e-03	4.234e-03	1.621e+00	5.666e-01	5.379e-01	7.851e-01	8.786e-01	bfgs-fail
+AAAAAAAAAAAAAATGCATATTTATATTAG	0.125	1.834e-03	4.234e-03	1.621e+00	5.666e-01	5.379e-01	7.851e-01	8.786e-01	bfgs-fail
+AAAAAAAAAAAAAATGCATATTTATATTA	0.130	1.137e-03	2.841e-03	1.687e+00	5.654e-01	4.903e-01	7.845e-01	8.269e-01	bfgs-fail
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCC	0.205	3.884e-01	3.532e-01	3.367e-01	3.626e-01	4.493e-01	8.084e-01	9.819e-01	bfgs-fail
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATC	0.205	3.884e-01	3.532e-01	3.367e-01	3.626e-01	4.493e-01	8.084e-01	9.819e-01	bfgs-fail
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTG	0.205	3.884e-01	3.532e-01	3.367e-01	3.626e-01	4.493e-01	8.084e-01	9.819e-01	bfgs-fail
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.205	3.884e-01	3.532e-01	3.367e-01	3.626e-01	4.493e-01	8.084e-01	9.819e-01	bfgs-fail
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.210	3.115e-01	2.878e-01	3.821e-01	3.594e-01	4.520e-01	8.114e-01	9.820e-01	bfgs-fail
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGA	0.210	3.115e-01	2.878e-01	3.821e-01	3.594e-01	4.520e-01	8.114e-01	9.820e-01	bfgs-fail
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACG	0.210	3.115e-01	2.878e-01	3.821e-01	3.594e-01	4.520e-01	8.114e-01	9.820e-01	bfgs-fail
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.210	3.115e-01	2.878e-01	3.821e-01	3.594e-01	4.520e-01	8.114e-01	9.820e-01	bfgs-fail
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.230	2.114e-01	1.970e-01	4.501e-01	3.489e-01	4.571e-01	8.013e-01	9.659e-01	NA
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCC	0.020	6.763e-02	2.379e-01	1.982e+00	1.680e+00	6.806e-01	9.106e-01	8.928e-01	bad-chisq
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATA	0.020	6.763e-02	2.379e-01	1.982e+00	1.680e+00	6.806e-01	9.106e-01	8.928e-01	bad-chisq
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACG	0.020	6.763e-02	2.379e-01	1.982e+00	1.680e+00	6.806e-01	9.106e-01	8.928e-01	bad-chisq
+AAAAAAAAAAAAAATGCA	0.410	1.633e-03	1.796e-03	9.467e-01	3.032e-01	4.803e-01	9.829e-01	8.097e-01	NA
+AAAAAAAAAAAAAAT	0.450	6.645e-03	6.730e-03	8.011e-01	2.956e-01	4.906e-01	8.730e-01	8.226e-01	NA
+AAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTTCAACTAAGGAGCTCATATGTTACTGCAAAAAGAACTAATTCCAATGATAGAAGCTA	0.115	2.951e-01	3.039e-01	4.807e-01	4.676e-01	4.956e-01	8.475e-01	8.782e-01	bfgs-fail
+AAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTT	0.115	2.951e-01	3.039e-01	4.807e-01	4.676e-01	4.956e-01	8.475e-01	8.782e-01	bfgs-fail
+AAAAAAAAAAAAAGTGTTAAAATAAA	0.120	2.207e-01	2.352e-01	5.497e-01	4.631e-01	5.104e-01	8.738e-01	8.892e-01	bfgs-fail
+AAAAAAAAAAAAAGTGTTAAAA	0.120	2.207e-01	2.352e-01	5.497e-01	4.631e-01	5.104e-01	8.738e-01	8.892e-01	bfgs-fail
+AAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCATTGCATGA	0.045	3.651e-02	7.286e-02	1.702e+00	9.489e-01	3.575e-01	6.424e-01	9.279e-01	bad-chisq
+AAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCA	0.045	3.651e-02	7.286e-02	1.702e+00	9.489e-01	3.575e-01	6.424e-01	9.279e-01	bad-chisq
+AAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGG	0.045	3.651e-02	7.286e-02	1.702e+00	9.489e-01	3.575e-01	6.424e-01	9.279e-01	bad-chisq
+AAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACT	0.050	2.246e-02	5.079e-02	1.832e+00	9.377e-01	3.514e-01	5.898e-01	9.280e-01	bad-chisq
+AAAAAAAAAAAAAGTTCAAAATG	0.050	2.246e-02	5.079e-02	1.832e+00	9.377e-01	3.514e-01	5.898e-01	9.280e-01	bad-chisq
+AAAAAAAAAAAAAGTTCAAAAT	0.050	2.246e-02	5.079e-02	1.832e+00	9.377e-01	3.514e-01	5.898e-01	9.280e-01	bad-chisq
+AAAAAAAAAAAAAGTT	0.055	6.589e-02	6.390e-02	1.493e+00	8.058e-01	3.369e-01	6.244e-01	8.821e-01	bfgs-fail
+AAAAAAAAAAAAAGT	0.195	6.759e-03	7.875e-03	1.065e+00	4.007e-01	4.464e-01	7.831e-01	8.237e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCCT	0.245	9.868e-01	9.328e-01	2.821e-02	3.343e-01	4.964e-01	7.845e-01	9.308e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATC	0.245	9.868e-01	9.328e-01	2.821e-02	3.343e-01	4.964e-01	7.845e-01	9.308e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTG	0.245	9.868e-01	9.328e-01	2.821e-02	3.343e-01	4.964e-01	7.845e-01	9.308e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.245	9.868e-01	9.328e-01	2.821e-02	3.343e-01	4.964e-01	7.845e-01	9.308e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.250	8.696e-01	8.247e-01	7.344e-02	3.316e-01	4.904e-01	7.833e-01	9.380e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGA	0.250	8.696e-01	8.247e-01	7.344e-02	3.316e-01	4.904e-01	7.833e-01	9.380e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACG	0.250	8.696e-01	8.247e-01	7.344e-02	3.316e-01	4.904e-01	7.833e-01	9.380e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.250	8.696e-01	8.247e-01	7.344e-02	3.316e-01	4.904e-01	7.833e-01	9.380e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.270	6.773e-01	6.411e-01	1.511e-01	3.241e-01	4.842e-01	7.764e-01	9.519e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCCT	0.020	6.763e-02	2.379e-01	1.982e+00	1.680e+00	6.806e-01	9.106e-01	8.928e-01	bad-chisq
+AAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATA	0.020	6.763e-02	2.379e-01	1.982e+00	1.680e+00	6.806e-01	9.106e-01	8.928e-01	bad-chisq
+AAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACG	0.020	6.763e-02	2.379e-01	1.982e+00	1.680e+00	6.806e-01	9.106e-01	8.928e-01	bad-chisq
+AAAAAAAAAAAAGCATTTTACTATTTTATATATATAT	0.015	6.823e-01	7.220e-01	4.318e-01	1.214e+00	4.796e-01	7.715e-01	9.468e-01	bad-chisq
+AAAAAAAAAAAAGCATTTTACTATTTTATATATATA	0.015	6.823e-01	7.220e-01	4.318e-01	1.214e+00	4.796e-01	7.715e-01	9.468e-01	bad-chisq
+AAAAAAAAAAAAGCATTTTACTATTTTATATATAT	0.020	8.391e-01	9.382e-01	-8.000e-02	1.031e+00	5.114e-01	7.913e-01	9.217e-01	bfgs-fail
+AAAAAAAAAAAAGCATTTTACTATTTTATATATA	0.020	8.391e-01	9.382e-01	-8.000e-02	1.031e+00	5.114e-01	7.913e-01	9.217e-01	bfgs-fail
+AAAAAAAAAAAAGCATTTTACTATTTTATATAT	0.020	8.391e-01	9.382e-01	-8.000e-02	1.031e+00	5.114e-01	7.913e-01	9.217e-01	bfgs-fail
+AAAAAAAAAAAAGCATTTTACTATTTTATATA	0.020	8.391e-01	9.382e-01	-8.000e-02	1.031e+00	5.114e-01	7.913e-01	9.217e-01	bfgs-fail
+AAAAAAAAAAAAGCATTTTACTATTTTATA	0.025	4.947e-01	5.480e-01	-5.599e-01	9.318e-01	5.328e-01	8.223e-01	9.241e-01	bfgs-fail
+AAAAAAAAAAAAGCATTTTACTATTTTGTATATATATAT	0.010	8.864e-01	8.680e-01	-2.372e-01	1.428e+00	5.119e-01	7.799e-01	9.218e-01	bad-chisq
+AAAAAAAAAAAAGCATTTTACTATTTTGTATATATATA	0.010	8.864e-01	8.680e-01	-2.372e-01	1.428e+00	5.119e-01	7.799e-01	9.218e-01	bad-chisq
+AAAAAAAAAAAAGCATTTTACTATTTTGTATATATAT	0.010	8.864e-01	8.680e-01	-2.372e-01	1.428e+00	5.119e-01	7.799e-01	9.218e-01	bad-chisq
+AAAAAAAAAAAAGCATTTTACTATTTTGTATATATA	0.010	8.864e-01	8.680e-01	-2.372e-01	1.428e+00	5.119e-01	7.799e-01	9.218e-01	bad-chisq
+AAAAAAAAAAAAGCATTTTACTATTTTGTATAT	0.010	8.864e-01	8.680e-01	-2.372e-01	1.428e+00	5.119e-01	7.799e-01	9.218e-01	bad-chisq
+AAAAAAAAAAAAGCATTTTACTATTTTG	0.010	8.864e-01	8.680e-01	-2.372e-01	1.428e+00	5.119e-01	7.799e-01	9.218e-01	bad-chisq
+AAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTTCAACTAAGGAGCTCATATGTTACTGCAAAAAGAACTAATTCCAATGATAGAAGCTAA	0.115	2.951e-01	3.039e-01	4.807e-01	4.676e-01	4.956e-01	8.475e-01	8.782e-01	bfgs-fail
+AAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTT	0.115	2.951e-01	3.039e-01	4.807e-01	4.676e-01	4.956e-01	8.475e-01	8.782e-01	bfgs-fail
+AAAAAAAAAAAAGTGTTAAAATAAA	0.120	2.207e-01	2.352e-01	5.497e-01	4.631e-01	5.104e-01	8.738e-01	8.892e-01	bfgs-fail
+AAAAAAAAAAAAGTGTTAAAA	0.120	2.207e-01	2.352e-01	5.497e-01	4.631e-01	5.104e-01	8.738e-01	8.892e-01	bfgs-fail
+AAAAAAAAAAAAGTG	0.120	2.207e-01	2.352e-01	5.497e-01	4.631e-01	5.104e-01	8.738e-01	8.892e-01	bfgs-fail
+AAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCATTGCATGAG	0.050	2.246e-02	5.397e-02	1.801e+00	9.344e-01	3.593e-01	6.842e-01	9.787e-01	bad-chisq
+AAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCA	0.050	2.246e-02	5.397e-02	1.801e+00	9.344e-01	3.593e-01	6.842e-01	9.787e-01	bad-chisq
+AAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGG	0.050	2.246e-02	5.397e-02	1.801e+00	9.344e-01	3.593e-01	6.842e-01	9.787e-01	bad-chisq
+AAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACT	0.055	1.379e-02	3.811e-02	1.919e+00	9.255e-01	3.542e-01	6.309e-01	9.801e-01	bad-chisq
+AAAAAAAAAAAAGTTCAAAATGCA	0.055	1.379e-02	3.811e-02	1.919e+00	9.255e-01	3.542e-01	6.309e-01	9.801e-01	bad-chisq
+AAAAAAAAAAAAGTTCAAAATG	0.055	1.379e-02	3.811e-02	1.919e+00	9.255e-01	3.542e-01	6.309e-01	9.801e-01	bad-chisq
+AAAAAAAAAAAAGTTCAAAAT	0.055	1.379e-02	3.811e-02	1.919e+00	9.255e-01	3.542e-01	6.309e-01	9.801e-01	bad-chisq
+AAAAAAAAAAAAGTT	0.060	4.186e-02	4.602e-02	1.589e+00	7.966e-01	3.347e-01	6.554e-01	9.229e-01	bfgs-fail
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCCTC	0.290	3.637e-01	3.917e-01	-2.700e-01	3.152e-01	5.267e-01	8.373e-01	9.031e-01	NA
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCCT	0.295	4.451e-01	4.785e-01	-2.223e-01	3.136e-01	5.263e-01	8.204e-01	8.992e-01	NA
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATC	0.295	4.451e-01	4.785e-01	-2.223e-01	3.136e-01	5.263e-01	8.204e-01	8.992e-01	NA
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGT	0.295	4.451e-01	4.785e-01	-2.223e-01	3.136e-01	5.263e-01	8.204e-01	8.992e-01	NA
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTG	0.295	4.451e-01	4.785e-01	-2.223e-01	3.136e-01	5.263e-01	8.204e-01	8.992e-01	NA
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.295	4.451e-01	4.785e-01	-2.223e-01	3.136e-01	5.263e-01	8.204e-01	8.992e-01	NA
+AAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCCTC	0.025	2.551e-01	4.089e-01	8.642e-01	1.047e+00	5.698e-01	8.546e-01	9.904e-01	bad-chisq
+AAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATA	0.025	2.551e-01	4.089e-01	8.642e-01	1.047e+00	5.698e-01	8.546e-01	9.904e-01	bad-chisq
+AAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACG	0.025	2.551e-01	4.089e-01	8.642e-01	1.047e+00	5.698e-01	8.546e-01	9.904e-01	bad-chisq
+AAAAAAAAAAAGAAAGATAGTTTAACCTATGAAAAAATCACTAAAAATTTTTGCTACATCTAAATAGTTTGACCTCTTCGGGGTTGCTTTGGTCGTTGGG	0.060	1.197e-01	1.306e-01	-9.544e-01	6.313e-01	4.785e-01	8.458e-01	9.541e-01	bfgs-fail
+AAAAAAAAAAAGAAAG	0.060	1.197e-01	1.306e-01	-9.544e-01	6.313e-01	4.785e-01	8.458e-01	9.541e-01	bfgs-fail
+AAAAAAAAAAAGAAA	0.085	6.398e-03	1.157e-02	-1.493e+00	5.915e-01	5.221e-01	8.265e-01	9.654e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATATATAT	0.010	1.986e-01	4.818e-01	1.350e+00	1.919e+00	5.863e-01	9.079e-01	9.551e-01	bad-chisq
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATATATCATAAGATAAGTTTTTTATAAAGACACGCAAATGAGTATAAATCAGCTAATTTT	0.010	1.986e-01	4.772e-01	1.357e+00	1.909e+00	5.991e-01	7.892e-01	9.846e-01	bad-chisq
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATATAT	0.035	9.076e-01	9.512e-01	4.828e-02	7.884e-01	5.038e-01	7.870e-01	9.317e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATATA	0.035	9.076e-01	9.512e-01	4.828e-02	7.884e-01	5.038e-01	7.870e-01	9.317e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATAT	0.045	4.716e-01	4.706e-01	5.278e-01	7.315e-01	5.102e-01	7.677e-01	9.929e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATA	0.045	4.716e-01	4.706e-01	5.278e-01	7.315e-01	5.102e-01	7.677e-01	9.929e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATAT	0.060	4.021e-01	3.758e-01	5.683e-01	6.417e-01	4.826e-01	7.479e-01	9.837e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATA	0.060	4.021e-01	3.758e-01	5.683e-01	6.417e-01	4.826e-01	7.479e-01	9.837e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATAT	0.080	2.491e-01	2.257e-01	6.864e-01	5.666e-01	4.363e-01	7.834e-01	9.647e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATA	0.080	2.491e-01	2.257e-01	6.864e-01	5.666e-01	4.363e-01	7.834e-01	9.647e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATAT	0.095	8.528e-02	7.112e-02	9.990e-01	5.535e-01	3.602e-01	7.502e-01	8.892e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATA	0.100	1.552e-01	1.338e-01	7.780e-01	5.188e-01	4.012e-01	7.586e-01	9.488e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATTATAAGATAAGTTTTTTATAAAGACACGCAAATGAGTATAAATCAGCTAATTTTTGGTTTA	0.015	5.368e-02	2.295e-01	-2.108e+00	1.755e+00	6.532e-01	8.589e-01	8.506e-01	bad-chisq
+AAAAAAAAAAAGCATTTTACTATTTTATATATATAT	0.115	5.475e-01	4.655e-01	3.394e-01	4.650e-01	4.382e-01	7.633e-01	9.943e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATA	0.115	5.475e-01	4.655e-01	3.394e-01	4.650e-01	4.382e-01	7.633e-01	9.943e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATAT	0.120	7.264e-01	6.197e-01	2.258e-01	4.550e-01	4.539e-01	7.635e-01	9.715e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATA	0.120	7.264e-01	6.197e-01	2.258e-01	4.550e-01	4.539e-01	7.635e-01	9.715e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATAT	0.120	7.264e-01	6.197e-01	2.258e-01	4.550e-01	4.539e-01	7.635e-01	9.715e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATA	0.120	7.264e-01	6.197e-01	2.258e-01	4.550e-01	4.539e-01	7.635e-01	9.715e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATAT	0.120	7.264e-01	6.197e-01	2.258e-01	4.550e-01	4.539e-01	7.635e-01	9.715e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATA	0.125	9.144e-01	8.209e-01	9.981e-02	4.408e-01	4.836e-01	7.758e-01	9.423e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTA	0.125	9.144e-01	8.209e-01	9.981e-02	4.408e-01	4.836e-01	7.758e-01	9.423e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTGTATATATATATATATAT	0.055	6.589e-02	9.701e-02	1.330e+00	8.013e-01	6.909e-01	7.888e-01	9.626e-01	bfgs-fail
diff --git a/test/run_test.pl b/test/run_test.pl
new file mode 100755
index 0000000..4a21877
--- /dev/null
+++ b/test/run_test.pl
@@ -0,0 +1,45 @@
+#!/usr/bin/perl -w
+
+use strict;
+use warnings;
+
+use File::Temp qw/ :POSIX /;
+
+my $exit_status = 0;
+my $seer_location = "../src/";
+
+sub do_test($$$$)
+{
+   my ($command, $file, $num, $name) = @_;
+
+   my $fail = 0;
+
+   my $outfile = tmpnam();
+   system("$command &> $outfile");
+
+   my $diff = `diff -q $outfile $file`;
+   if ($diff ne "")
+   {
+      print STDERR "FAILED test $num, $name\n";
+      $fail = 1;
+   }
+   else
+   {
+      print STDERR "PASSED test $num, $name\n";
+   }
+
+   unlink($outfile);
+
+   return($fail);
+}
+
+$exit_status = do_test("$seer_location/seer -k example_kmers.gz -p subset.pheno", "test1.txt", 1, "basic filters");
+$exit_status= $exit_status || do_test("$seer_location/seer -k example_kmers.gz -p subset.pheno --pval 1 --chisq 1", "test2.txt", 2, "binary phenotype assocation");
+$exit_status = $exit_status || do_test("$seer_location/seer -k example_kmers.gz -p subset.pheno --pval 1 --chisq 1 --maf 0.1 --print_samples", "test3.txt", 3, "print output");
+$exit_status = $exit_status || do_test("$seer_location/seer -k example_kmers.gz -p subset.cont.pheno --pval 1 --chisq 1 --maf 0.1", "test4.txt", 4, "continuous phenotype assocation");
+$exit_status = $exit_status || do_test("$seer_location/seer -k example_kmers.gz -p example.pheno --struct all_structure_new --pval 1 --chisq 1", "test5.txt", 5, "assocation with population structure");
+$exit_status = $exit_status || do_test("$seer_location/seer -k example_kmers.gz -p subset.pheno --covar_file covariates.txt --covar_list 2q,3 --pval 1 --chisq 1", "test6.txt", 6, "assocation with covariates");
+$exit_status = $exit_status || do_test("$seer_location/filter_seer -k filter_in.txt --pos_beta", "test7.txt", 7, "filter output");
+
+exit($exit_status);
+
diff --git a/test/subset.cont.pheno b/test/subset.cont.pheno
new file mode 100644
index 0000000..eae9b50
--- /dev/null
+++ b/test/subset.cont.pheno
@@ -0,0 +1,200 @@
+6259_5#1	6259_5#1	1
+6259_5#2	6259_5#2	2
+6259_5#3	6259_5#3	3
+6259_5#4	6259_5#4	4
+6259_5#5	6259_5#5	5
+6259_5#6	6259_5#6	6
+6259_5#7	6259_5#7	7
+6259_5#8	6259_5#8	8
+6259_5#9	6259_5#9	9
+6259_5#10	6259_5#10	10
+6259_5#12	6259_5#12	11
+6259_5#13	6259_5#13	12
+6259_5#14	6259_5#14	13
+6259_5#15	6259_5#15	14
+6259_5#16	6259_5#16	15
+6259_5#17	6259_5#17	16
+6259_5#18	6259_5#18	17
+6259_5#19	6259_5#19	18
+6259_5#20	6259_5#20	19
+6259_5#21	6259_5#21	20
+6259_5#22	6259_5#22	21
+6259_5#23	6259_5#23	22
+6259_5#24	6259_5#24	23
+6259_6#1	6259_6#1	24
+6259_6#2	6259_6#2	25
+6259_6#3	6259_6#3	26
+6259_6#4	6259_6#4	27
+6259_6#5	6259_6#5	28
+6259_6#6	6259_6#6	29
+6259_6#7	6259_6#7	30
+6259_6#8	6259_6#8	31
+6259_6#9	6259_6#9	32
+6259_6#10	6259_6#10	33
+6259_6#11	6259_6#11	34
+6259_6#12	6259_6#12	35
+6259_6#13	6259_6#13	36
+6259_6#14	6259_6#14	37
+6259_6#15	6259_6#15	38
+6259_6#16	6259_6#16	39
+6259_6#17	6259_6#17	40
+6259_6#18	6259_6#18	41
+6259_6#19	6259_6#19	42
+6259_6#20	6259_6#20	43
+6259_6#21	6259_6#21	44
+6259_6#22	6259_6#22	45
+6259_6#23	6259_6#23	46
+6259_6#24	6259_6#24	47
+6259_7#1	6259_7#1	48
+6259_7#2	6259_7#2	49
+6259_7#3	6259_7#3	50
+6259_7#4	6259_7#4	51
+6259_7#5	6259_7#5	52
+6259_7#6	6259_7#6	53
+6259_7#7	6259_7#7	54
+6259_7#8	6259_7#8	55
+6259_7#9	6259_7#9	56
+6259_7#10	6259_7#10	57
+6259_7#11	6259_7#11	58
+6259_7#12	6259_7#12	59
+6259_7#13	6259_7#13	60
+6259_7#14	6259_7#14	61
+6259_7#15	6259_7#15	62
+6259_7#16	6259_7#16	63
+6259_7#17	6259_7#17	64
+6259_7#18	6259_7#18	65
+6259_7#19	6259_7#19	66
+6259_7#20	6259_7#20	67
+6259_7#21	6259_7#21	68
+6259_7#22	6259_7#22	69
+6259_7#23	6259_7#23	70
+6259_7#24	6259_7#24	71
+6259_8#1	6259_8#1	72
+6259_8#2	6259_8#2	73
+6259_8#3	6259_8#3	74
+6259_8#4	6259_8#4	75
+6259_8#5	6259_8#5	76
+6259_8#6	6259_8#6	77
+6259_8#7	6259_8#7	78
+6259_8#8	6259_8#8	79
+6259_8#9	6259_8#9	80
+6259_8#10	6259_8#10	81
+6259_8#11	6259_8#11	82
+6259_8#12	6259_8#12	83
+6259_8#13	6259_8#13	84
+6259_8#14	6259_8#14	85
+6259_8#15	6259_8#15	86
+6259_8#16	6259_8#16	87
+6259_8#17	6259_8#17	88
+6259_8#18	6259_8#18	89
+6259_8#19	6259_8#19	90
+6259_8#20	6259_8#20	91
+6259_8#21	6259_8#21	92
+6259_8#22	6259_8#22	93
+6259_8#23	6259_8#23	94
+6259_8#24	6259_8#24	95
+6593_4#1	6593_4#1	96
+6593_4#2	6593_4#2	97
+6593_4#3	6593_4#3	98
+6593_4#4	6593_4#4	99
+6593_4#5	6593_4#5	100
+6593_4#6	6593_4#6	101
+6593_4#7	6593_4#7	102
+6593_4#8	6593_4#8	103
+6593_4#9	6593_4#9	104
+6593_4#10	6593_4#10	105
+6593_4#11	6593_4#11	106
+6593_4#12	6593_4#12	107
+6593_4#13	6593_4#13	108
+6593_4#14	6593_4#14	109
+6593_4#15	6593_4#15	110
+6593_4#16	6593_4#16	111
+6593_4#17	6593_4#17	112
+6593_4#18	6593_4#18	113
+6593_4#19	6593_4#19	114
+6593_4#20	6593_4#20	115
+6593_4#21	6593_4#21	116
+6593_4#22	6593_4#22	117
+6593_4#23	6593_4#23	118
+6593_4#24	6593_4#24	119
+6593_5#1	6593_5#1	120
+6593_5#2	6593_5#2	121
+6593_5#3	6593_5#3	122
+6593_5#4	6593_5#4	123
+6593_5#5	6593_5#5	124
+6593_5#6	6593_5#6	125
+6593_5#7	6593_5#7	126
+6593_5#8	6593_5#8	127
+6593_5#9	6593_5#9	128
+6593_5#10	6593_5#10	129
+6593_5#11	6593_5#11	130
+6593_5#12	6593_5#12	131
+6593_5#13	6593_5#13	132
+6593_5#14	6593_5#14	133
+6593_5#15	6593_5#15	134
+6593_5#16	6593_5#16	135
+6593_5#17	6593_5#17	136
+6593_5#18	6593_5#18	137
+6593_5#19	6593_5#19	138
+6593_5#20	6593_5#20	139
+6593_5#21	6593_5#21	140
+6593_5#22	6593_5#22	141
+6593_5#23	6593_5#23	142
+6593_5#24	6593_5#24	143
+6641_6#1	6641_6#1	144
+6641_6#2	6641_6#2	145
+6641_6#3	6641_6#3	146
+6641_6#4	6641_6#4	147
+6641_6#5	6641_6#5	148
+6641_6#6	6641_6#6	149
+6641_6#7	6641_6#7	150
+6641_6#8	6641_6#8	151
+6641_6#9	6641_6#9	152
+6641_6#10	6641_6#10	153
+6641_6#11	6641_6#11	154
+6641_6#12	6641_6#12	155
+6641_6#13	6641_6#13	156
+6641_6#14	6641_6#14	157
+6641_6#15	6641_6#15	158
+6641_6#16	6641_6#16	159
+6641_6#17	6641_6#17	160
+6641_6#18	6641_6#18	161
+6641_6#19	6641_6#19	162
+6641_6#20	6641_6#20	163
+6641_6#21	6641_6#21	164
+6641_6#22	6641_6#22	165
+6641_6#23	6641_6#23	166
+6641_6#24	6641_6#24	167
+6649_8#1	6649_8#1	168
+6649_8#2	6649_8#2	169
+6649_8#3	6649_8#3	170
+6649_8#4	6649_8#4	171
+6649_8#5	6649_8#5	172
+6649_8#6	6649_8#6	173
+6649_8#7	6649_8#7	174
+6649_8#8	6649_8#8	175
+6649_8#9	6649_8#9	176
+6649_8#10	6649_8#10	177
+6649_8#11	6649_8#11	178
+6649_8#12	6649_8#12	179
+6649_8#13	6649_8#13	180
+6649_8#14	6649_8#14	181
+6649_8#15	6649_8#15	182
+6649_8#16	6649_8#16	183
+6649_8#17	6649_8#17	184
+6649_8#18	6649_8#18	185
+6649_8#19	6649_8#19	186
+6649_8#20	6649_8#20	187
+6649_8#21	6649_8#21	188
+6649_8#22	6649_8#22	189
+6649_8#23	6649_8#23	190
+6649_8#24	6649_8#24	191
+6680_8#1	6680_8#1	192
+6680_8#2	6680_8#2	193
+6680_8#3	6680_8#3	194
+6680_8#4	6680_8#4	195
+6680_8#5	6680_8#5	196
+6680_8#6	6680_8#6	197
+6680_8#7	6680_8#7	198
+6680_8#8	6680_8#8	199
+6680_8#9	6680_8#9	200
diff --git a/test/test1.txt b/test/test1.txt
new file mode 100644
index 0000000..4c26080
--- /dev/null
+++ b/test/test1.txt
@@ -0,0 +1,4 @@
+seer: sequence element enrichment analysis
+Detected binary phenotype
+sequence	maf	unadj_p_val	p_val	beta	se	comments
+Done.
diff --git a/test/test2.txt b/test/test2.txt
new file mode 100644
index 0000000..c1c844e
--- /dev/null
+++ b/test/test2.txt
@@ -0,0 +1,178 @@
+seer: sequence element enrichment analysis
+Detected binary phenotype
+sequence	maf	unadj_p_val	p_val	beta	se	comments
+AAAAAAAAAAAAAAAAAAAT	0.055	1.379e-02	4.747e-02	1.830e+00	9.233e-01	bad-chisq
+AAAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAA	0.080	6.443e-03	1.580e-02	1.859e+00	7.702e-01	NA
+AAAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.080	6.443e-03	1.580e-02	1.859e+00	7.702e-01	NA
+AAAAAAAAAAAAAAAAAATGCATATTTATCTTAG	0.080	6.443e-03	1.580e-02	1.859e+00	7.702e-01	NA
+AAAAAAAAAAAAAAAAAATGCATATTTATCTT	0.085	3.982e-03	1.152e-02	1.938e+00	7.672e-01	NA
+AAAAAAAAAAAAAAAAAATGCATATTTATCT	0.085	3.982e-03	1.152e-02	1.938e+00	7.672e-01	NA
+AAAAAAAAAAAAAAAAAATGCATATTTAT	0.085	3.982e-03	1.152e-02	1.938e+00	7.672e-01	NA
+AAAAAAAAAAAAAAAAAATGCATAT	0.085	3.982e-03	1.152e-02	1.938e+00	7.672e-01	NA
+AAAAAAAAAAAAAAAAAATGCAT	0.085	3.982e-03	1.152e-02	1.938e+00	7.672e-01	NA
+AAAAAAAAAAAAAAAAAATGCA	0.085	3.982e-03	1.152e-02	1.938e+00	7.672e-01	NA
+AAAAAAAAAAAAAAAAAATG	0.085	3.982e-03	1.152e-02	1.938e+00	7.672e-01	NA
+AAAAAAAAAAAAAAAAAAT	0.100	1.784e-02	2.494e-02	1.297e+00	5.786e-01	NA
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAG	0.100	1.784e-02	2.494e-02	1.297e+00	5.786e-01	NA
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.100	1.784e-02	2.494e-02	1.297e+00	5.786e-01	NA
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.100	1.784e-02	2.494e-02	1.297e+00	5.786e-01	NA
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.115	4.668e-03	8.463e-03	1.502e+00	5.703e-01	NA
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAG	0.115	4.668e-03	8.463e-03	1.502e+00	5.703e-01	NA
+AAAAAAAAAAAAAAAAATGCATATTTATCTT	0.120	2.937e-03	5.905e-03	1.564e+00	5.681e-01	NA
+AAAAAAAAAAAAAAAAATGCATATTTATCT	0.120	2.937e-03	5.905e-03	1.564e+00	5.681e-01	NA
+AAAAAAAAAAAAAAAAATGCATATTTAT	0.130	4.631e-03	7.579e-03	1.389e+00	5.202e-01	NA
+AAAAAAAAAAAAAAAAATGCATAT	0.130	4.631e-03	7.579e-03	1.389e+00	5.202e-01	NA
+AAAAAAAAAAAAAAAAATGCAT	0.130	4.631e-03	7.579e-03	1.389e+00	5.202e-01	NA
+AAAAAAAAAAAAAAAAATGCA	0.130	4.631e-03	7.579e-03	1.389e+00	5.202e-01	NA
+AAAAAAAAAAAAAAAAATG	0.130	4.631e-03	7.579e-03	1.389e+00	5.202e-01	NA
+AAAAAAAAAAAAAAAAAT	0.145	1.460e-02	1.820e-02	1.087e+00	4.601e-01	NA
+AAAAAAAAAAAAAAAAA	0.175	3.743e-03	5.267e-03	1.204e+00	4.316e-01	NA
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGT	0.140	2.869e-01	2.895e-01	4.480e-01	4.230e-01	NA
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.140	2.869e-01	2.895e-01	4.480e-01	4.230e-01	NA
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.140	2.869e-01	2.895e-01	4.480e-01	4.230e-01	NA
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.140	2.869e-01	2.895e-01	4.480e-01	4.230e-01	NA
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.155	1.208e-01	1.248e-01	6.353e-01	4.140e-01	NA
+AAAAAAAAAAAAAAAATGCATATTTATCTTAG	0.185	3.320e-01	3.335e-01	3.613e-01	3.736e-01	NA
+AAAAAAAAAAAAAAAATGCATATTTATCTT	0.190	2.614e-01	2.633e-01	4.154e-01	3.713e-01	NA
+AAAAAAAAAAAAAAAATGCATATTTATCT	0.190	2.614e-01	2.633e-01	4.154e-01	3.713e-01	NA
+AAAAAAAAAAAAAAAATGCATATTTAT	0.200	2.864e-01	2.880e-01	3.857e-01	3.630e-01	NA
+AAAAAAAAAAAAAAAATGCATAT	0.200	2.864e-01	2.880e-01	3.857e-01	3.630e-01	NA
+AAAAAAAAAAAAAAAATGCAT	0.200	2.864e-01	2.880e-01	3.857e-01	3.630e-01	NA
+AAAAAAAAAAAAAAAATGCA	0.200	2.864e-01	2.880e-01	3.857e-01	3.630e-01	NA
+AAAAAAAAAAAAAAAATG	0.200	2.864e-01	2.880e-01	3.857e-01	3.630e-01	NA
+AAAAAAAAAAAAAAAAT	0.215	4.162e-01	4.170e-01	2.845e-01	3.506e-01	NA
+AAAAAAAAAAAAAAAA	0.250	1.396e-01	1.415e-01	4.953e-01	3.369e-01	NA
+AAAAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTTCAACTAAGGAGCTCATATGTTACTGCAAAAAGAACTAATTCCAATGATAGAAGC	0.065	1.003e-01	1.144e-01	1.065e+00	6.744e-01	NA
+AAAAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTT	0.065	1.003e-01	1.144e-01	1.065e+00	6.744e-01	NA
+AAAAAAAAAAAAAAAGTGTTAAAATAAA	0.070	6.602e-02	7.971e-02	1.170e+00	6.677e-01	NA
+AAAAAAAAAAAAAAAGTGTTAAAA	0.070	6.602e-02	7.971e-02	1.170e+00	6.677e-01	NA
+AAAAAAAAAAAAAAAGT	0.075	4.301e-02	5.562e-02	1.267e+00	6.621e-01	NA
+AAAAAAAAAAAAAAAG	0.090	4.172e-02	5.119e-02	1.143e+00	5.861e-01	NA
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTC	0.185	1.815e-01	1.842e-01	5.026e-01	3.784e-01	NA
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATC	0.185	1.815e-01	1.842e-01	5.026e-01	3.784e-01	NA
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTG	0.185	1.815e-01	1.842e-01	5.026e-01	3.784e-01	NA
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.185	1.815e-01	1.842e-01	5.026e-01	3.784e-01	NA
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.190	1.374e-01	1.403e-01	5.551e-01	3.764e-01	NA
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGA	0.190	1.374e-01	1.403e-01	5.551e-01	3.764e-01	NA
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACG	0.190	1.374e-01	1.403e-01	5.551e-01	3.764e-01	NA
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.190	1.374e-01	1.403e-01	5.551e-01	3.764e-01	NA
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.210	8.728e-02	8.998e-02	6.172e-01	3.640e-01	NA
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTC	0.020	6.763e-02	2.239e-01	2.034e+00	1.673e+00	bad-chisq
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATA	0.020	6.763e-02	2.239e-01	2.034e+00	1.673e+00	bad-chisq
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACG	0.020	6.763e-02	2.239e-01	2.034e+00	1.673e+00	bad-chisq
+AAAAAAAAAAAAAAA	0.385	1.865e-03	2.107e-03	9.388e-01	3.053e-01	NA
+AAAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTTCAACTAAGGAGCTCATATGTTACTGCAAAAAGAACTAATTCCAATGATAGAAGCT	0.105	2.560e-01	2.604e-01	5.476e-01	4.866e-01	NA
+AAAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTT	0.105	2.560e-01	2.604e-01	5.476e-01	4.866e-01	NA
+AAAAAAAAAAAAAAGTGTTAAAATAAA	0.110	1.877e-01	1.930e-01	6.271e-01	4.818e-01	NA
+AAAAAAAAAAAAAAGTGTTAAAA	0.110	1.877e-01	1.930e-01	6.271e-01	4.818e-01	NA
+AAAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCATTGCATG	0.040	5.932e-02	1.271e-01	1.464e+00	9.597e-01	bad-chisq
+AAAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCA	0.040	5.932e-02	1.271e-01	1.464e+00	9.597e-01	bad-chisq
+AAAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGG	0.040	5.932e-02	1.271e-01	1.464e+00	9.597e-01	bad-chisq
+AAAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACT	0.045	3.651e-02	9.054e-02	1.599e+00	9.447e-01	bad-chisq
+AAAAAAAAAAAAAAGTTCAAAATG	0.045	3.651e-02	9.054e-02	1.599e+00	9.447e-01	bad-chisq
+AAAAAAAAAAAAAAGTTCAAAAT	0.045	3.651e-02	9.054e-02	1.599e+00	9.447e-01	bad-chisq
+AAAAAAAAAAAAAAGT	0.165	8.715e-03	1.113e-02	1.104e+00	4.347e-01	NA
+AAAAAAAAAAAAAAG	0.185	1.493e-02	1.734e-02	9.564e-01	4.020e-01	NA
+AAAAAAAAAAAAAATGCATATTTATATTAGCAAAA	0.125	1.834e-03	4.123e-03	1.624e+00	5.661e-01	NA
+AAAAAAAAAAAAAATGCATATTTATATTAG	0.125	1.834e-03	4.123e-03	1.624e+00	5.661e-01	NA
+AAAAAAAAAAAAAATGCATATTTATATTA	0.130	1.137e-03	2.881e-03	1.682e+00	5.643e-01	NA
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCC	0.205	3.884e-01	3.894e-01	3.077e-01	3.575e-01	NA
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATC	0.205	3.884e-01	3.894e-01	3.077e-01	3.575e-01	NA
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTG	0.205	3.884e-01	3.894e-01	3.077e-01	3.575e-01	NA
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.205	3.884e-01	3.894e-01	3.077e-01	3.575e-01	NA
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.210	3.115e-01	3.129e-01	3.588e-01	3.555e-01	NA
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGA	0.210	3.115e-01	3.129e-01	3.588e-01	3.555e-01	NA
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACG	0.210	3.115e-01	3.129e-01	3.588e-01	3.555e-01	NA
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.210	3.115e-01	3.129e-01	3.588e-01	3.555e-01	NA
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.230	2.114e-01	2.132e-01	4.301e-01	3.455e-01	NA
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCC	0.020	6.763e-02	2.239e-01	2.034e+00	1.673e+00	bad-chisq
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATA	0.020	6.763e-02	2.239e-01	2.034e+00	1.673e+00	bad-chisq
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACG	0.020	6.763e-02	2.239e-01	2.034e+00	1.673e+00	bad-chisq
+AAAAAAAAAAAAAATGCA	0.410	1.633e-03	1.834e-03	9.372e-01	3.008e-01	NA
+AAAAAAAAAAAAAAT	0.450	6.645e-03	7.038e-03	7.893e-01	2.929e-01	NA
+AAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTTCAACTAAGGAGCTCATATGTTACTGCAAAAAGAACTAATTCCAATGATAGAAGCTA	0.115	2.951e-01	2.984e-01	4.815e-01	4.630e-01	NA
+AAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTT	0.115	2.951e-01	2.984e-01	4.815e-01	4.630e-01	NA
+AAAAAAAAAAAAAGTGTTAAAATAAA	0.120	2.207e-01	2.249e-01	5.566e-01	4.586e-01	NA
+AAAAAAAAAAAAAGTGTTAAAA	0.120	2.207e-01	2.249e-01	5.566e-01	4.586e-01	NA
+AAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCATTGCATGA	0.045	3.651e-02	9.054e-02	1.599e+00	9.447e-01	bad-chisq
+AAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCA	0.045	3.651e-02	9.054e-02	1.599e+00	9.447e-01	bad-chisq
+AAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGG	0.045	3.651e-02	9.054e-02	1.599e+00	9.447e-01	bad-chisq
+AAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACT	0.050	2.246e-02	6.522e-02	1.720e+00	9.329e-01	bad-chisq
+AAAAAAAAAAAAAGTTCAAAATG	0.050	2.246e-02	6.522e-02	1.720e+00	9.329e-01	bad-chisq
+AAAAAAAAAAAAAGTTCAAAAT	0.050	2.246e-02	6.522e-02	1.720e+00	9.329e-01	bad-chisq
+AAAAAAAAAAAAAGTT	0.055	6.589e-02	8.577e-02	1.366e+00	7.952e-01	NA
+AAAAAAAAAAAAAGT	0.195	6.759e-03	8.383e-03	1.052e+00	3.992e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCCT	0.245	9.868e-01	9.868e-01	5.461e-03	3.305e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATC	0.245	9.868e-01	9.868e-01	5.461e-03	3.305e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTG	0.245	9.868e-01	9.868e-01	5.461e-03	3.305e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.245	9.868e-01	9.868e-01	5.461e-03	3.305e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.250	8.696e-01	8.696e-01	5.395e-02	3.287e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGA	0.250	8.696e-01	8.696e-01	5.395e-02	3.287e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACG	0.250	8.696e-01	8.696e-01	5.395e-02	3.287e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.250	8.696e-01	8.696e-01	5.395e-02	3.287e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.270	6.773e-01	6.774e-01	1.337e-01	3.214e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCCT	0.020	6.763e-02	2.239e-01	2.034e+00	1.673e+00	bad-chisq
+AAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATA	0.020	6.763e-02	2.239e-01	2.034e+00	1.673e+00	bad-chisq
+AAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACG	0.020	6.763e-02	2.239e-01	2.034e+00	1.673e+00	bad-chisq
+AAAAAAAAAAAAGCATTTTACTATTTTATATATATAT	0.015	6.823e-01	7.910e-01	3.183e-01	1.201e+00	bad-chisq
+AAAAAAAAAAAAGCATTTTACTATTTTATATATATA	0.015	6.823e-01	7.910e-01	3.183e-01	1.201e+00	bad-chisq
+AAAAAAAAAAAAGCATTTTACTATTTTATATATAT	0.020	8.391e-01	8.394e-01	-2.048e-01	1.010e+00	NA
+AAAAAAAAAAAAGCATTTTACTATTTTATATATA	0.020	8.391e-01	8.394e-01	-2.048e-01	1.010e+00	NA
+AAAAAAAAAAAAGCATTTTACTATTTTATATAT	0.020	8.391e-01	8.394e-01	-2.048e-01	1.010e+00	NA
+AAAAAAAAAAAAGCATTTTACTATTTTATATA	0.020	8.391e-01	8.394e-01	-2.048e-01	1.010e+00	NA
+AAAAAAAAAAAAGCATTTTACTATTTTATA	0.025	4.947e-01	5.011e-01	-6.217e-01	9.242e-01	NA
+AAAAAAAAAAAAGCATTTTACTATTTTGTATATATATAT	0.010	8.864e-01	8.872e-01	-2.017e-01	1.421e+00	bad-chisq
+AAAAAAAAAAAAGCATTTTACTATTTTGTATATATATA	0.010	8.864e-01	8.872e-01	-2.017e-01	1.421e+00	bad-chisq
+AAAAAAAAAAAAGCATTTTACTATTTTGTATATATAT	0.010	8.864e-01	8.872e-01	-2.017e-01	1.421e+00	bad-chisq
+AAAAAAAAAAAAGCATTTTACTATTTTGTATATATA	0.010	8.864e-01	8.872e-01	-2.017e-01	1.421e+00	bad-chisq
+AAAAAAAAAAAAGCATTTTACTATTTTGTATAT	0.010	8.864e-01	8.872e-01	-2.017e-01	1.421e+00	bad-chisq
+AAAAAAAAAAAAGCATTTTACTATTTTG	0.010	8.864e-01	8.872e-01	-2.017e-01	1.421e+00	bad-chisq
+AAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTTCAACTAAGGAGCTCATATGTTACTGCAAAAAGAACTAATTCCAATGATAGAAGCTAA	0.115	2.951e-01	2.984e-01	4.815e-01	4.630e-01	NA
+AAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTT	0.115	2.951e-01	2.984e-01	4.815e-01	4.630e-01	NA
+AAAAAAAAAAAAGTGTTAAAATAAA	0.120	2.207e-01	2.249e-01	5.566e-01	4.586e-01	NA
+AAAAAAAAAAAAGTGTTAAAA	0.120	2.207e-01	2.249e-01	5.566e-01	4.586e-01	NA
+AAAAAAAAAAAAGTG	0.120	2.207e-01	2.249e-01	5.566e-01	4.586e-01	NA
+AAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCATTGCATGAG	0.050	2.246e-02	6.522e-02	1.720e+00	9.329e-01	bad-chisq
+AAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCA	0.050	2.246e-02	6.522e-02	1.720e+00	9.329e-01	bad-chisq
+AAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGG	0.050	2.246e-02	6.522e-02	1.720e+00	9.329e-01	bad-chisq
+AAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACT	0.055	1.379e-02	4.747e-02	1.830e+00	9.233e-01	bad-chisq
+AAAAAAAAAAAAGTTCAAAATGCA	0.055	1.379e-02	4.747e-02	1.830e+00	9.233e-01	bad-chisq
+AAAAAAAAAAAAGTTCAAAATG	0.055	1.379e-02	4.747e-02	1.830e+00	9.233e-01	bad-chisq
+AAAAAAAAAAAAGTTCAAAAT	0.055	1.379e-02	4.747e-02	1.830e+00	9.233e-01	bad-chisq
+AAAAAAAAAAAAGTT	0.060	4.186e-02	6.017e-02	1.482e+00	7.883e-01	NA
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCCTC	0.290	3.637e-01	3.643e-01	-2.836e-01	3.126e-01	NA
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCCT	0.295	4.451e-01	4.455e-01	-2.373e-01	3.110e-01	NA
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATC	0.295	4.451e-01	4.455e-01	-2.373e-01	3.110e-01	NA
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGT	0.295	4.451e-01	4.455e-01	-2.373e-01	3.110e-01	NA
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTG	0.295	4.451e-01	4.455e-01	-2.373e-01	3.110e-01	NA
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.295	4.451e-01	4.455e-01	-2.373e-01	3.110e-01	NA
+AAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCCTC	0.025	2.551e-01	3.752e-01	9.247e-01	1.043e+00	bad-chisq
+AAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATA	0.025	2.551e-01	3.752e-01	9.247e-01	1.043e+00	bad-chisq
+AAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACG	0.025	2.551e-01	3.752e-01	9.247e-01	1.043e+00	bad-chisq
+AAAAAAAAAAAGAAAGATAGTTTAACCTATGAAAAAATCACTAAAAATTTTTGCTACATCTAAATAGTTTGACCTCTTCGGGGTTGCTTTGGTCGTTGGG	0.060	1.197e-01	1.315e-01	-9.499e-01	6.298e-01	NA
+AAAAAAAAAAAGAAAG	0.060	1.197e-01	1.315e-01	-9.499e-01	6.298e-01	NA
+AAAAAAAAAAAGAAA	0.085	6.398e-03	1.125e-02	-1.498e+00	5.911e-01	NA
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATATATAT	0.010	1.986e-01	4.529e-01	1.428e+00	1.903e+00	bad-chisq
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATATATCATAAGATAAGTTTTTTATAAAGACACGCAAATGAGTATAAATCAGCTAATTTT	0.010	1.986e-01	4.529e-01	1.428e+00	1.903e+00	bad-chisq
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATATAT	0.035	9.076e-01	9.077e-01	9.015e-02	7.773e-01	NA
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATATA	0.035	9.076e-01	9.077e-01	9.015e-02	7.773e-01	NA
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATAT	0.045	4.716e-01	4.759e-01	5.147e-01	7.219e-01	NA
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATA	0.045	4.716e-01	4.759e-01	5.147e-01	7.219e-01	NA
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATAT	0.060	4.021e-01	4.066e-01	5.225e-01	6.296e-01	NA
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATA	0.060	4.021e-01	4.066e-01	5.225e-01	6.296e-01	NA
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATAT	0.080	2.491e-01	2.555e-01	6.360e-01	5.593e-01	NA
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATA	0.080	2.491e-01	2.555e-01	6.360e-01	5.593e-01	NA
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATAT	0.095	8.528e-02	9.382e-02	9.079e-01	5.419e-01	NA
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATA	0.100	1.552e-01	1.619e-01	7.138e-01	5.103e-01	NA
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATTATAAGATAAGTTTTTTATAAAGACACGCAAATGAGTATAAATCAGCTAATTTTTGGTTTA	0.015	5.368e-02	2.134e-01	-2.179e+00	1.752e+00	bad-chisq
+AAAAAAAAAAAGCATTTTACTATTTTATATATATAT	0.115	5.475e-01	5.484e-01	2.719e-01	4.531e-01	NA
+AAAAAAAAAAAGCATTTTACTATTTTATATATATA	0.115	5.475e-01	5.484e-01	2.719e-01	4.531e-01	NA
+AAAAAAAAAAAGCATTTTACTATTTTATATATAT	0.120	7.264e-01	7.266e-01	1.542e-01	4.408e-01	NA
+AAAAAAAAAAAGCATTTTACTATTTTATATATA	0.120	7.264e-01	7.266e-01	1.542e-01	4.408e-01	NA
+AAAAAAAAAAAGCATTTTACTATTTTATATAT	0.120	7.264e-01	7.266e-01	1.542e-01	4.408e-01	NA
+AAAAAAAAAAAGCATTTTACTATTTTATATA	0.120	7.264e-01	7.266e-01	1.542e-01	4.408e-01	NA
+AAAAAAAAAAAGCATTTTACTATTTTATAT	0.120	7.264e-01	7.266e-01	1.542e-01	4.408e-01	NA
+AAAAAAAAAAAGCATTTTACTATTTTATA	0.125	9.144e-01	9.144e-01	4.626e-02	4.306e-01	NA
+AAAAAAAAAAAGCATTTTACTATTTTA	0.125	9.144e-01	9.144e-01	4.626e-02	4.306e-01	NA
+AAAAAAAAAAAGCATTTTACTATTTTGTATATATATATATATAT	0.055	6.589e-02	8.577e-02	1.366e+00	7.952e-01	NA
+Done.
diff --git a/test/test3.txt b/test/test3.txt
new file mode 100644
index 0000000..1b25875
--- /dev/null
+++ b/test/test3.txt
@@ -0,0 +1,99 @@
+seer: sequence element enrichment analysis
+Detected binary phenotype
+sequence	maf	unadj_p_val	p_val	beta	se	comments	samples_present
+AAAAAAAAAAAAAAAAAAT	0.100	1.784e-02	2.494e-02	1.297e+00	5.786e-01	NA	7004_5#20	6805_2#22	6680_8#12	6983_3#64	6805_3#4	6830_3#21	6983_3#71	6259_5#16	7004_7#59	6983_4#74	6631_3#11	6731_3#13	7092_6#3	7092_6#4	6823_2#13	6631_3#20	6938_7#16	6731_3#23	6664_1#16	7004_8#75	6731_4#7	6938_7#24	6899_7#11	6259_6#16	6631_4#9	6775_2#22	6938_8#8	6736_7#7	6631_4#16	6938_8#10	6631_4#19	6259_7#4	7004_8#95	6736_7#15	6938_8#17	6631_5#2	6925_3#7	6983_5#20	7038_4#11	6673_8#24	7038_4#13	6925_8#11	6753_2#13	663 [...]
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAG	0.100	1.784e-02	2.494e-02	1.297e+00	5.786e-01	NA	6736_5#8	6775_1#5	6680_8#12	6899_6#2	6983_3#64	6805_3#4	6823_1#23	6830_3#21	6680_8#21	6983_3#71	6259_5#16	7004_7#59	6631_3#11	6664_1#2	7054_6#23	6664_1#3	7092_6#3	6631_3#16	7092_6#4	6823_2#13	6259_6#1	6899_6#21	6631_3#20	6938_7#16	6805_4#20	6664_1#16	6753_1#8	6259_6#14	6731_4#7	6259_6#16	6631_4#9	6753_1#12	6775_2#22	6736_7#7	6631_4#16	6673_ [...]
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.100	1.784e-02	2.494e-02	1.297e+00	5.786e-01	NA	6736_5#8	6775_1#5	6680_8#12	6899_6#2	6983_3#64	6805_3#4	6823_1#23	6830_3#21	6680_8#21	6983_3#71	6259_5#16	7004_7#59	6631_3#11	6664_1#2	7054_6#23	6664_1#3	7092_6#3	6631_3#16	7092_6#4	6823_2#13	6259_6#1	6899_6#21	6631_3#20	6938_7#16	6805_4#20	6664_1#16	6753_1#8	6259_6#14	6731_4#7	6259_6#16	6631_4#9	6753_1#12	6775_2#22	6736_7#7	6631_4#16	6673_8#10	6259_7#4	7004_8#95	6731_4#21	6938_8#16	6736_7#15	6631 [...]
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.100	1.784e-02	2.494e-02	1.297e+00	5.786e-01	NA	6736_5#8	6775_1#5	6680_8#12	6899_6#2	6983_3#64	6805_3#4	6823_1#23	6830_3#21	6680_8#21	6983_3#71	6259_5#16	7004_7#59	6631_3#11	6664_1#2	7054_6#23	6664_1#3	7092_6#3	6631_3#16	7092_6#4	6823_2#13	6259_6#1	6899_6#21	6631_3#20	6938_7#16	6805_4#20	6664_1#16	6753_1#8	6259_6#14	6731_4#7	6259_6#16	6631_4#9	6753_1#12	6775_2#22	6736_7#7	6631_4#16	6673_8#10	6259_7#4	7004_8#95	6731_4#21	6938_8#16	6736_7#15	6631_5# [...]
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.115	4.668e-03	8.463e-03	1.502e+00	5.703e-01	NA	6736_5#8	6775_1#5	6680_8#12	6899_6#2	6983_3#64	6805_3#4	6823_1#23	6830_3#21	6680_8#21	6983_3#71	6259_5#16	7004_7#59	6631_3#11	6664_1#2	7054_6#23	6664_1#3	7092_6#3	6631_3#16	7092_6#4	6823_2#13	6259_6#1	6899_6#21	6631_3#20	6938_7#16	6731_3#23	6805_4#20	6664_1#16	6753_1#8	6259_6#14	6731_4#7	6259_6#16	6631_4#9	6259_6#17	6753_1#12	6775_2#22	6736_7#7	6631_4#16	6673_8#10	6259_7#4	7004_8#95	6938_8#13	6731_4#2 [...]
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAG	0.115	4.668e-03	8.463e-03	1.502e+00	5.703e-01	NA	6736_5#8	6775_1#5	6680_8#12	6899_6#2	6983_3#64	6805_3#4	6823_1#23	6830_3#21	6680_8#21	6983_3#71	6259_5#16	7004_7#59	6631_3#11	6664_1#2	7054_6#23	6664_1#3	7092_6#3	6631_3#16	7092_6#4	6823_2#13	6259_6#1	6899_6#21	6631_3#20	6938_7#16	6731_3#23	6805_4#20	6664_1#16	7004_8#75	6753_1#8	6259_6#14	6731_4#7	6259_6#16	6631_4#9	6259_6#17	6753_1#12	6775_2#22	6736_7#7	6631_4#16	6673_8#10	6259_7#4	7004_8#95	6938_8#13	673 [...]
+AAAAAAAAAAAAAAAAATGCATATTTATCTT	0.120	2.937e-03	5.905e-03	1.564e+00	5.681e-01	NA	6736_5#8	6775_1#5	6680_8#12	6899_6#2	6983_3#64	6805_3#4	6823_1#23	6830_3#21	6680_8#21	6983_3#71	6259_5#16	7004_7#59	6631_3#11	6664_1#2	7054_6#23	6664_1#3	7092_6#3	6631_3#16	7092_6#4	6823_2#13	6259_6#1	6899_6#21	6631_3#20	6938_7#16	6731_3#23	6805_4#20	6664_1#16	7004_8#75	6753_1#8	6259_6#14	6731_4#7	6259_6#16	6631_4#9	6259_6#17	6753_1#12	6775_2#22	6736_7#7	6631_4#16	6673_8#10	6259_7#4	7004_8#95	6938_8#13	6731_ [...]
+AAAAAAAAAAAAAAAAATGCATATTTATCT	0.120	2.937e-03	5.905e-03	1.564e+00	5.681e-01	NA	6736_5#8	6775_1#5	6680_8#12	6899_6#2	6983_3#64	6805_3#4	6823_1#23	6830_3#21	6680_8#21	6983_3#71	6259_5#16	7004_7#59	6631_3#11	6664_1#2	7054_6#23	6664_1#3	6731_3#13	7092_6#3	6631_3#16	7092_6#4	6823_2#13	6259_6#1	6899_6#21	6631_3#20	6938_7#16	6731_3#23	6805_4#20	6664_1#16	7004_8#75	6753_1#8	6259_6#14	6731_4#7	6259_6#16	6631_4#9	6259_6#17	6753_1#12	6775_2#22	6736_7#7	6631_4#16	6673_8#10	6259_7#4	7004_8#95	6938_8 [...]
+AAAAAAAAAAAAAAAAATGCATATTTAT	0.130	4.631e-03	7.579e-03	1.389e+00	5.202e-01	NA	6925_8#13	6631_3#11	7038_5#9	6925_8#20	6631_3#16	6805_5#23	6736_7#7	6259_5#16	6631_3#20	6631_3#23	6972_2#10	6736_7#15	6775_2#22	6259_6#1	6805_6#14	6631_4#9	7038_6#9	7038_6#12	6805_6#22	6736_8#5	6972_2#24	6631_4#16	6972_3#1	6259_6#14	7038_6#15	6259_6#15	7038_6#16	6259_6#16	6259_6#17	7038_6#19	6805_7#5	6972_3#9	6631_5#2	6631_5#4	7038_7#2	6925_5#6	6631_5#6	6631_5#7	6259_7#4	6805_7#16	6680_4#6	6972_3#17	6925_5#14	6 [...]
+AAAAAAAAAAAAAAAAATGCATAT	0.130	4.631e-03	7.579e-03	1.389e+00	5.202e-01	NA	6925_8#13	6631_3#11	7038_5#9	6925_8#20	6631_3#16	6805_5#23	6736_7#7	6259_5#16	6631_3#20	6631_3#23	6972_2#10	6736_7#15	6775_2#22	6259_6#1	6805_6#14	6631_4#9	7038_6#9	7038_6#12	6805_6#22	6736_8#5	6972_2#24	6631_4#16	6972_3#1	6259_6#14	7038_6#15	6259_6#15	7038_6#16	6259_6#16	6259_6#17	7038_6#19	6805_7#5	6972_3#9	6631_5#2	6631_5#4	7038_7#2	6925_5#6	6631_5#6	6631_5#7	6259_7#4	6805_7#16	6680_4#6	6972_3#17	6925_5#14	6680_ [...]
+AAAAAAAAAAAAAAAAATGCAT	0.130	4.631e-03	7.579e-03	1.389e+00	5.202e-01	NA	6925_8#13	6631_3#11	7038_5#9	6925_8#20	6631_3#16	6805_5#23	6736_7#7	6259_5#16	6631_3#20	6631_3#23	6972_2#10	6736_7#15	6775_2#22	6259_6#1	6805_6#14	6631_4#9	7038_6#9	7038_6#12	6805_6#22	6736_8#5	6972_2#24	6631_4#16	6972_3#1	6259_6#14	7038_6#15	6259_6#15	7038_6#16	6631_4#19	6259_6#16	6259_6#17	7038_6#19	6805_7#5	6972_3#9	6631_5#2	6631_5#4	7038_7#2	6925_5#6	6631_5#6	6631_5#7	6259_7#4	6805_7#16	6680_4#6	6972_3#17	6925_5# [...]
+AAAAAAAAAAAAAAAAATGCA	0.130	4.631e-03	7.579e-03	1.389e+00	5.202e-01	NA	6925_8#13	6631_3#11	7038_5#9	6925_8#20	6631_3#16	6805_5#23	6736_7#7	6259_5#16	6631_3#20	6631_3#23	6972_2#10	6736_7#15	6775_2#22	6259_6#1	6805_6#14	6631_4#9	7038_6#9	7038_6#12	6805_6#22	6736_8#5	6972_2#24	6631_4#16	6972_3#1	6259_6#14	7038_6#15	6259_6#15	7038_6#16	6631_4#19	6259_6#16	6259_6#17	7038_6#19	6805_7#5	6972_3#9	6631_5#2	6631_5#4	7038_7#2	6925_5#6	6631_5#6	6631_5#7	6259_7#4	6805_7#16	6680_4#6	6972_3#17	6925_5#1 [...]
+AAAAAAAAAAAAAAAAATG	0.130	4.631e-03	7.579e-03	1.389e+00	5.202e-01	NA	6925_8#13	6631_3#11	7038_5#9	6925_8#20	6631_3#16	6925_3#17	6805_5#23	6736_7#7	6259_5#16	6631_3#20	6631_3#23	6972_2#10	6736_7#15	6775_2#22	6259_6#1	6805_6#14	6631_4#9	7038_6#9	7038_6#12	6805_6#22	6736_8#5	6972_2#24	6631_4#16	6972_3#1	6259_6#14	7038_6#15	6259_6#15	7038_6#16	6631_4#19	6259_6#16	6259_6#17	7038_6#19	6805_7#5	6972_3#9	6631_5#2	6631_5#4	7038_7#2	6925_5#6	6631_5#6	6631_5#7	6259_7#4	6805_7#16	6680_4#6	6972_3#17	 [...]
+AAAAAAAAAAAAAAAAAT	0.145	1.460e-02	1.820e-02	1.087e+00	4.601e-01	NA	6925_8#13	6925_3#7	6631_3#11	7038_5#9	6925_8#20	6631_3#16	6925_3#17	6805_5#23	6736_7#7	6259_5#16	6925_3#20	6631_3#20	6631_3#23	6972_2#10	6736_7#15	6775_2#22	6259_6#1	6805_6#14	6631_4#9	7038_6#9	7038_6#12	6805_6#22	6736_8#5	6972_2#24	6631_4#16	6972_3#1	6259_6#14	7038_6#15	6259_6#15	7038_6#16	6631_4#19	6259_6#16	6259_6#17	7038_6#19	6805_7#5	6972_3#9	6631_5#2	6631_5#4	7038_7#2	6925_5#6	6631_5#6	6631_5#7	6259_7#4	6805_7#16	6 [...]
+AAAAAAAAAAAAAAAAA	0.175	3.743e-03	5.267e-03	1.204e+00	4.316e-01	NA	6925_8#13	6631_3#6	6259_5#2	6925_3#7	6631_3#11	7038_5#9	6925_8#20	6631_3#16	6925_3#17	6805_5#23	6736_7#7	6259_5#16	6925_3#20	6775_2#16	6631_3#20	6631_3#23	6972_2#10	6736_7#15	6775_2#22	6259_6#1	6805_6#14	6631_4#9	7038_6#9	7038_6#12	6805_6#22	6736_8#5	6631_4#16	6972_2#24	6972_3#1	6259_6#14	7038_6#15	6259_6#15	6631_4#19	7038_6#16	6259_6#16	6925_4#21	6259_6#17	7038_6#19	6805_7#5	6259_6#21	6972_3#9	6259_6#22	6631_5#2	6631_5#4 [...]
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGT	0.140	2.869e-01	2.895e-01	4.480e-01	4.230e-01	NA	6925_8#13	6631_3#11	6259_5#12	6631_3#16	6736_7#7	6259_5#16	6631_3#20	6775_2#17	6631_3#24	6259_5#21	6972_2#10	6736_7#15	6775_2#22	6259_6#1	6631_4#9	6259_6#6	7038_6#7	7038_6#12	6925_4#16	6805_6#22	6736_8#5	6972_2#24	6631_4#16	6972_3#1	6259_6#14	7038_6#16	6259_6#16	6805_7#5	6631_5#2	6680_4#1	7038_7#2	6972_3#13	6925_5#6	6259_7#4	6680_4#6	6972_3 [...]
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.140	2.869e-01	2.895e-01	4.480e-01	4.230e-01	NA	6925_8#13	6631_3#11	6259_5#12	6631_3#16	6736_7#7	6259_5#16	6631_3#20	6775_2#17	6631_3#24	6259_5#21	6972_2#10	6736_7#15	6775_2#22	6259_6#1	6631_4#9	6259_6#6	7038_6#7	7038_6#12	6925_4#16	6805_6#22	6736_8#5	6972_2#24	6631_4#16	6972_3#1	6259_6#14	7038_6#16	6259_6#16	6805_7#5	6631_5#2	6680_4#1	7038_7#2	6972_3#13	6925_5#6	6259_7#4	6680_4#6	6972_3#17	6925_5#14	6972_3#23	6680_4#14	6840_1# [...]
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.140	2.869e-01	2.895e-01	4.480e-01	4.230e-01	NA	6925_8#13	6631_3#11	6259_5#12	6631_3#16	6736_7#7	6259_5#16	6631_3#20	6775_2#17	6631_3#24	6259_5#21	6972_2#10	6736_7#15	6775_2#22	6259_6#1	6631_4#9	6259_6#6	7038_6#7	7038_6#12	6925_4#16	6805_6#22	6736_8#5	6972_2#24	6631_4#16	6972_3#1	6259_6#14	7038_6#16	6259_6#16	6805_7#5	6631_5#2	6680_4#1	7038_7#2	6972_3#13	6925_5#6	6259_7#4	6680_4#6	6972_3#17	6925_5#14	6972_3#23	6680_4#14	6840_1#3	6841_7#8	6259_7# [...]
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.140	2.869e-01	2.895e-01	4.480e-01	4.230e-01	NA	6925_8#13	6631_3#11	6259_5#12	6631_3#16	6736_7#7	6259_5#16	6631_3#20	6775_2#17	6631_3#24	6259_5#21	6972_2#10	6736_7#15	6775_2#22	6259_6#1	6631_4#9	6259_6#6	7038_6#7	7038_6#12	6925_4#16	6805_6#22	6736_8#5	6972_2#24	6631_4#16	6972_3#1	6259_6#14	7038_6#16	6259_6#16	6805_7#5	6631_5#2	6680_4#1	7038_7#2	6972_3#13	6925_5#6	6259_7#4	6680_4#6	6972_3#17	6925_5#14	6972_3#23	6680_4#14	6840_1#3	6841_7#8	6259_7#18	 [...]
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.155	1.208e-01	1.248e-01	6.353e-01	4.140e-01	NA	6925_8#13	6631_3#11	6259_5#12	6631_3#16	6736_7#7	6631_3#18	6259_5#16	6631_3#20	6775_2#17	6631_3#24	6259_5#21	6972_2#10	6736_7#15	6775_2#22	6259_6#1	6631_4#9	6259_6#6	7038_6#7	7038_6#12	6925_4#16	6805_6#22	6736_8#5	6972_2#24	6925_4#17	6631_4#16	6972_3#1	6259_6#14	7038_6#16	6259_6#16	6259_6#17	6805_7#5	6631_5#2	6680_4#1	7038_7#2	6972_3#13	6925_5#6	6259_7#4	6680_4#6	6972_3#17	6925_5#14	6972_3#23	6680_4#14 [...]
+AAAAAAAAAAAAAAAATGCATATTTATCTTAG	0.185	3.320e-01	3.335e-01	3.613e-01	3.736e-01	NA	6925_8#13	6631_3#11	7038_5#9	6259_5#12	6631_3#16	6631_3#17	6805_5#23	6736_7#7	6631_3#18	6259_5#16	6631_3#20	6775_2#17	6631_3#24	6259_5#21	6972_2#10	6736_7#15	6775_2#22	6259_6#1	6631_4#9	6259_6#6	7038_6#7	7038_6#12	6925_4#16	6805_6#22	6736_8#5	6972_2#24	6925_4#17	6631_4#16	6972_3#1	6259_6#14	7038_6#15	6631_4#18	7038_6#16	6259_6#16	6259_6#17	6805_7#5	6972_3#9	6631_5#2	6680_4#1	7038_7#2	6972_3#13	6925_5#6	6805 [...]
+AAAAAAAAAAAAAAAATGCATATTTATCTT	0.190	2.614e-01	2.633e-01	4.154e-01	3.713e-01	NA	6925_8#13	6631_3#11	7038_5#9	6259_5#12	6631_3#16	6631_3#17	6805_5#23	6736_7#7	6631_3#18	6259_5#16	6631_3#20	6775_2#17	6631_3#24	6259_5#21	6972_2#10	6736_7#15	6775_2#22	6259_6#1	6631_4#9	6259_6#6	7038_6#7	7038_6#12	6925_4#16	6805_6#22	6736_8#5	6972_2#24	6925_4#17	6631_4#16	6972_3#1	6259_6#14	7038_6#15	6631_4#18	7038_6#16	6259_6#16	6259_6#17	6805_7#5	6972_3#9	6631_5#2	6680_4#1	7038_7#2	6972_3#13	6925_5#6	6805_7 [...]
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+AAAAAAAAAAAAAAAATG	0.200	2.864e-01	2.880e-01	3.857e-01	3.630e-01	NA	6972_2#6	6805_5#23	6972_2#10	6259_5#12	6775_2#17	6259_5#16	6805_6#14	6775_2#22	6259_5#21	6972_2#24	6755_3#2	6972_3#1	6259_6#1	6805_6#22	6259_6#6	6972_3#9	6805_7#5	6972_3#13	6259_6#14	6972_3#17	6259_6#15	6805_7#13	6259_6#16	6259_6#17	6805_7#16	6680_4#1	6972_3#23	6972_3#24	6680_4#6	6259_7#2	6680_4#10	6259_7#4	6840_1#3	6680_4#14	6259_7#10	6972_4#20	6840_1#15	6972_4#23	6680_4#24	6259_7#18	6840_1#17	6840_1#19	6680_5#4	6259_7# [...]
+AAAAAAAAAAAAAAAAT	0.215	4.162e-01	4.170e-01	2.845e-01	3.506e-01	NA	6972_2#6	6805_5#23	6972_2#10	6259_5#12	6775_2#17	6259_5#16	6805_6#14	6775_2#22	6805_6#15	6259_5#21	6972_2#24	6755_3#2	6972_3#1	6259_6#1	6805_6#22	6259_6#6	6972_3#9	6805_7#5	6972_3#13	6259_6#14	6972_3#17	6259_6#15	6805_7#13	6259_6#16	6259_6#17	6805_7#16	6680_4#1	6972_3#23	6972_3#24	6680_4#6	6259_7#2	6680_4#10	6259_7#4	6840_1#3	6680_4#14	6259_7#10	6972_4#20	6840_1#15	6972_4#23	6680_4#24	6259_7#18	6840_1#17	6840_1#19	6680_5# [...]
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+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTC	0.185	1.815e-01	1.842e-01	5.026e-01	3.784e-01	NA	6972_2#10	6775_2#12	6775_2#13	6775_2#14	6259_5#12	6775_2#17	6972_2#16	6775_2#19	6259_5#16	6972_2#20	6775_2#22	6775_2#23	6775_2#24	6805_6#17	6259_5#21	6972_2#24	6972_3#1	6259_6#1	6805_6#22	6755_3#9	6259_6#6	6805_7#5	6972_3#13	6805_7#10	6972_3#16	6259_6#14	6972_3#17	6259_6#16	6972_3#19	6755_3#23	6680_4#1	6972_3#23	6680_4#5	6680_4#6	6259_7#4	6 [...]
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATC	0.185	1.815e-01	1.842e-01	5.026e-01	3.784e-01	NA	6972_2#10	6775_2#12	6775_2#13	6775_2#14	6259_5#12	6775_2#17	6972_2#16	6775_2#19	6259_5#16	6972_2#20	6775_2#22	6775_2#23	6775_2#24	6805_6#17	6259_5#21	6972_2#24	6972_3#1	6259_6#1	6805_6#22	6755_3#9	6259_6#6	6805_7#5	6972_3#13	6805_7#10	6972_3#16	6259_6#14	6972_3#17	6259_6#16	6972_3#19	6755_3#23	6680_4#1	6972_3#23	6680_4#5	6680_4#6	6259_7#4	6972_4#11	6680 [...]
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTG	0.185	1.815e-01	1.842e-01	5.026e-01	3.784e-01	NA	6972_2#10	6775_2#12	6775_2#13	6775_2#14	6259_5#12	6775_2#17	6972_2#16	6775_2#19	6259_5#16	6972_2#20	6775_2#22	6775_2#23	6775_2#24	6805_6#17	6259_5#21	6972_2#24	6972_3#1	6259_6#1	6805_6#22	6755_3#9	6259_6#6	6805_7#5	6972_3#13	6805_7#10	6972_3#16	6259_6#14	6972_3#17	6259_6#16	6972_3#19	6755_3#23	6680_4#1	6972_3#23	6680_4#5	6680_4#6	6259_7#4	6972_4#11	6680_4#14	6680_4#17	6680_4#20 [...]
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.185	1.815e-01	1.842e-01	5.026e-01	3.784e-01	NA	6972_2#10	6775_2#12	6775_2#13	6775_2#14	6259_5#12	6775_2#17	6972_2#16	6775_2#19	6259_5#16	6972_2#20	6775_2#22	6775_2#23	6775_2#24	6805_6#17	6259_5#21	6972_2#24	6972_3#1	6259_6#1	6805_6#22	6755_3#9	6259_6#6	6805_7#5	6972_3#13	6805_7#10	6972_3#16	6259_6#14	6972_3#17	6259_6#16	6972_3#19	6755_3#23	6680_4#1	6972_3#23	6680_4#5	6680_4#6	6259_7#4	6840_1#3	6972_4#11	6680_4#14	6680_4#17	6680 [...]
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.190	1.374e-01	1.403e-01	5.551e-01	3.764e-01	NA	6972_2#10	6775_2#12	6775_2#13	6775_2#14	6259_5#12	6775_2#17	6972_2#16	6775_2#19	6259_5#16	6972_2#20	6775_2#22	6775_2#23	6775_2#24	6805_6#17	6259_5#21	6972_2#24	6972_3#1	6259_6#1	6805_6#22	6259_6#3	6755_3#9	6259_6#6	6805_7#5	6972_3#13	6805_7#10	6972_3#16	6259_6#14	6972_3#17	6259_6#16	6972_3#19	6755_3#23	6680_4#1	6972_3#23	6680_4#5	6680_4#6	6259_7#4	6840_1#3	6972_4#11	6680_4#14	6680_4#17	6680_4#20	697 [...]
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGA	0.190	1.374e-01	1.403e-01	5.551e-01	3.764e-01	NA	6972_2#10	6775_2#12	6775_2#13	6775_2#14	6259_5#12	6775_2#17	6972_2#16	6775_2#19	6259_5#16	6972_2#20	6775_2#22	6775_2#23	6775_2#24	6805_6#17	6259_5#21	6972_2#24	6972_3#1	6259_6#1	6805_6#22	6259_6#3	6755_3#9	6259_6#6	6805_7#5	6972_3#13	6805_7#10	6972_3#16	6259_6#14	6972_3#17	6259_6#16	6972_3#19	6755_3#23	6680_4#1	6972_3#23	6680_4#5	6680_4#6	6259_7#4	6840_1#3	6972_4#11	6680_4#14	6680_4#17	6680_4#20	6972 [...]
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACG	0.190	1.374e-01	1.403e-01	5.551e-01	3.764e-01	NA	6972_2#10	6775_2#12	6775_2#13	6775_2#14	6259_5#12	6775_2#17	6972_2#16	6775_2#19	6259_5#16	6972_2#20	6775_2#22	6775_2#23	6775_2#24	6805_6#17	6259_5#21	6972_2#24	6972_3#1	6259_6#1	6805_6#22	6259_6#3	6755_3#9	6259_6#6	6805_7#5	6972_3#13	6805_7#10	6972_3#16	6259_6#14	6972_3#17	6259_6#16	6972_3#19	6755_3#23	6680_4#1	6972_3#23	6680_4#5	6680_4#6	6259_7#4	6840_1#3	6972_4#11	6680_4#14	6680_4#17	6680_4#20	6972_ [...]
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.190	1.374e-01	1.403e-01	5.551e-01	3.764e-01	NA	6972_2#10	6775_2#12	6775_2#13	6775_2#14	6259_5#12	6775_2#17	6972_2#16	6775_2#19	6259_5#16	6972_2#20	6775_2#22	6775_2#23	6775_2#24	6805_6#17	6259_5#21	6972_2#24	6972_3#1	6259_6#1	6805_6#22	6259_6#3	6755_3#9	6259_6#6	6805_7#5	6972_3#13	6805_7#10	6972_3#16	6259_6#14	6972_3#17	6259_6#16	6972_3#19	6755_3#23	6680_4#1	6972_3#23	6680_4#5	6680_4#6	6259_7#4	6840_1#3	6972_4#11	6680_4#14	6680_4#17	6680_4#20	6972_4 [...]
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.210	8.728e-02	8.998e-02	6.172e-01	3.640e-01	NA	6972_2#10	6775_2#12	6775_2#13	6775_2#14	6259_5#12	6775_2#17	6972_2#16	6775_2#19	6259_5#16	6972_2#20	6775_2#22	6775_2#23	6775_2#24	6805_6#17	6259_5#21	6972_2#24	6972_3#1	6259_6#1	6805_6#22	6755_3#8	6259_6#3	6755_3#9	6259_6#6	6805_7#5	6972_3#13	6805_7#10	6972_3#16	6259_6#14	6972_3#17	6259_6#16	6972_3#19	6755_3#23	6259_6#17	6680_4#1	6972_3#23	6680_4#5	6680_4#6	6680_4#7	6259_7#1	6259_7#4	6840_1#3	6972_4#11	 [...]
+AAAAAAAAAAAAAAA	0.385	1.865e-03	2.107e-03	9.388e-01	3.053e-01	NA	6871_1#24	6840_3#1	6259_5#2	6840_3#2	6840_3#4	6259_5#6	6840_3#6	6259_5#7	6840_3#7	6259_5#12	6840_3#11	6259_5#16	6840_3#16	6259_5#21	6840_3#21	6840_3#22	6259_5#24	6840_3#23	6259_6#1	6840_3#24	6259_6#2	6871_2#1	6259_6#3	6259_6#4	6871_2#3	6259_6#6	6259_6#7	6871_2#6	6871_2#7	6871_2#9	6871_2#14	6259_6#14	6871_2#19	6259_6#15	6871_2#20	6259_6#16	6259_6#17	6823_1#2	6823_1#3	6823_1#5	6823_1#7	6259_6#21	6259_6#22	6823_1#9	6823_1#10	6 [...]
+AAAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTTCAACTAAGGAGCTCATATGTTACTGCAAAAAGAACTAATTCCAATGATAGAAGCT	0.105	2.560e-01	2.604e-01	5.476e-01	4.866e-01	NA	6259_5#2	6972_2#6	6775_2#9	6972_2#8	6972_2#9	6972_2#10	6972_2#11	6972_2#13	6259_5#13	6972_2#17	6805_6#11	6259_5#16	6805_6#14	6972_2#23	6755_3#2	6259_5#24	6755_3#11	6259_6#6	6805_7#3	6755_3#16	6972_3#14	6755_3#17	6972_3#15	6259_6#16	6805_7#14	6972_3#20	6840_1#1	6259_7#6	6972_4#13	6680_4#14	6972_4#14	6840_1#8	6259_7#11	6840_1#10	6680_4#18	684 [...]
+AAAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTT	0.105	2.560e-01	2.604e-01	5.476e-01	4.866e-01	NA	6259_5#2	6972_2#6	6775_2#9	6972_2#8	6972_2#9	6972_2#10	6972_2#11	6972_2#13	6259_5#13	6972_2#17	6805_6#11	6259_5#16	6805_6#14	6972_2#23	6755_3#2	6259_5#24	6755_3#11	6259_6#6	6805_7#3	6755_3#16	6972_3#14	6755_3#17	6972_3#15	6259_6#16	6805_7#14	6972_3#20	6840_1#1	6259_7#6	6972_4#13	6680_4#14	6972_4#14	6840_1#8	6259_7#11	6840_1#10	6680_4#18	6840_1#12	6680_4#20	6972_4#22	6972_4#24	6840_1#18	6871_1#1 [...]
+AAAAAAAAAAAAAAGTGTTAAAATAAA	0.110	1.877e-01	1.930e-01	6.271e-01	4.818e-01	NA	6259_5#2	6972_2#6	6775_2#9	6972_2#8	6972_2#9	6972_2#10	6972_2#11	6972_2#13	6259_5#13	6972_2#17	6805_6#11	6259_5#16	6805_6#14	6972_2#23	6755_3#2	6259_5#24	6259_6#1	6755_3#11	6259_6#6	6805_7#3	6755_3#16	6972_3#14	6755_3#17	6972_3#15	6259_6#16	6805_7#14	6972_3#20	6840_1#1	6259_7#6	6972_4#13	6680_4#14	6972_4#14	6840_1#8	6259_7#11	6840_1#10	6680_4#18	6840_1#12	6680_4#20	6972_4#22	6972_4#24	6840_1#18	6871_1#10	6871_1# [...]
+AAAAAAAAAAAAAAGTGTTAAAA	0.110	1.877e-01	1.930e-01	6.271e-01	4.818e-01	NA	6259_5#2	6972_2#6	6775_2#9	6972_2#8	6972_2#9	6972_2#10	6972_2#11	6972_2#13	6259_5#13	6972_2#17	6805_6#11	6259_5#16	6805_6#14	6972_2#23	6755_3#2	6259_5#24	6259_6#1	6755_3#11	6259_6#6	6805_7#3	6755_3#16	6972_3#14	6755_3#17	6972_3#15	6259_6#16	6805_7#14	6972_3#20	6840_1#1	6259_7#6	6972_4#13	6680_4#14	6972_4#14	6840_1#8	6259_7#11	6840_1#10	6680_4#18	6840_1#12	6680_4#20	6972_4#22	6972_4#24	6840_1#18	6871_1#10	6871_1#11	6 [...]
+AAAAAAAAAAAAAAGT	0.165	8.715e-03	1.113e-02	1.104e+00	4.347e-01	NA	6259_5#2	6972_2#6	6775_2#9	6972_2#8	6972_2#9	6972_2#10	6775_2#12	6972_2#11	6775_2#14	6972_2#13	6775_2#16	6775_2#17	6259_5#13	6972_2#16	6972_2#17	6805_6#11	6259_5#16	6972_2#20	6805_6#14	6775_2#23	6775_2#24	6972_2#23	6755_3#2	6259_5#24	6259_6#1	6755_3#9	6755_3#11	6259_6#6	6805_7#3	6972_3#13	6755_3#16	6972_3#14	6755_3#17	6972_3#15	6805_7#10	6972_3#16	6259_6#16	6972_3#19	6805_7#14	6755_3#23	6259_6#17	6972_3#20	6680_4#1	6680_4# [...]
+AAAAAAAAAAAAAAG	0.185	1.493e-02	1.734e-02	9.564e-01	4.020e-01	NA	6259_5#2	6972_2#6	6775_2#9	6972_2#8	6972_2#9	6775_2#12	6972_2#10	6972_2#11	6775_2#14	6972_2#13	6775_2#16	6775_2#17	6259_5#13	6972_2#16	6972_2#17	6805_6#11	6259_5#16	6805_6#14	6972_2#20	6775_2#23	6775_2#24	6972_2#23	6755_3#2	6259_5#24	6259_6#1	6755_3#9	6755_3#11	6259_6#6	6805_7#3	6755_3#16	6972_3#13	6755_3#17	6972_3#14	6805_7#10	6972_3#15	6972_3#16	6259_6#16	6805_7#14	6755_3#23	6972_3#19	6259_6#17	6972_3#20	6680_4#1	6259_6#2 [...]
+AAAAAAAAAAAAAATGCATATTTATATTAGCAAAA	0.125	1.834e-03	4.123e-03	1.624e+00	5.661e-01	NA	6805_5#20	6972_2#6	6259_5#3	6805_6#2	6775_2#11	6259_5#6	6805_6#3	6259_5#7	6972_2#11	6259_5#10	6972_2#17	6775_2#20	6775_2#21	6805_6#14	6972_2#21	6805_6#18	6755_3#2	6805_6#19	6755_3#4	6259_6#2	6805_6#24	6972_3#7	6755_3#13	6259_6#13	6755_3#20	6259_6#15	6805_7#14	6259_6#18	6805_7#16	6972_4#5	6680_4#8	6972_4#7	6680_4#10	6840_1#8	6972_4#18	6972_4#19	6259_7#14	6840_1#15	6972_5#4	6840_1#23	6680_5#8	6259_8#4	6972 [...]
+AAAAAAAAAAAAAATGCATATTTATATTAG	0.125	1.834e-03	4.123e-03	1.624e+00	5.661e-01	NA	6805_5#20	6972_2#6	6259_5#3	6805_6#2	6775_2#11	6259_5#6	6805_6#3	6259_5#7	6972_2#11	6259_5#10	6972_2#17	6775_2#20	6775_2#21	6805_6#14	6972_2#21	6805_6#18	6755_3#2	6805_6#19	6755_3#4	6259_6#2	6805_6#24	6972_3#7	6755_3#13	6259_6#13	6755_3#20	6259_6#15	6805_7#14	6259_6#18	6805_7#16	6972_4#5	6680_4#8	6972_4#7	6680_4#10	6840_1#8	6972_4#18	6972_4#19	6259_7#14	6972_4#21	6840_1#15	6972_5#4	6840_1#23	6680_5#8	6259_8#4 [...]
+AAAAAAAAAAAAAATGCATATTTATATTA	0.130	1.137e-03	2.881e-03	1.682e+00	5.643e-01	NA	6805_5#20	6972_2#6	6259_5#3	6805_6#2	6775_2#11	6259_5#6	6805_6#3	6259_5#7	6972_2#11	6259_5#10	6972_2#17	6775_2#20	6775_2#21	6805_6#14	6972_2#21	6805_6#18	6755_3#2	6805_6#19	6755_3#4	6259_6#2	6805_6#24	6972_3#7	6755_3#13	6259_6#13	6755_3#20	6259_6#15	6805_7#14	6259_6#18	6805_7#16	6972_4#5	6680_4#8	6972_4#7	6680_4#10	6840_1#8	6972_4#18	6972_4#19	6259_7#14	6972_4#21	6840_1#15	6972_5#4	6840_1#23	6680_5#8	6259_8#4	 [...]
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCC	0.205	3.884e-01	3.894e-01	3.077e-01	3.575e-01	NA	6972_2#10	6775_2#12	6775_2#13	6775_2#14	6259_5#12	6805_6#9	6775_2#17	6972_2#16	6805_6#11	6775_2#19	6259_5#16	6972_2#20	6775_2#22	6775_2#23	6775_2#24	6805_6#17	6259_5#21	6972_2#24	6972_3#1	6259_6#1	6805_6#22	6755_3#9	6805_7#1	6259_6#6	6755_3#12	6805_7#5	6972_3#13	6805_7#7	6805_7#10	6755_3#18	6972_3#16	6259_6#14	6972_3#17	6259_6#16	6972_3#19	 [...]
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATC	0.205	3.884e-01	3.894e-01	3.077e-01	3.575e-01	NA	6972_2#10	6775_2#12	6775_2#13	6775_2#14	6259_5#12	6805_6#9	6775_2#17	6972_2#16	6805_6#11	6775_2#19	6259_5#16	6972_2#20	6775_2#22	6775_2#23	6775_2#24	6805_6#17	6259_5#21	6972_2#24	6972_3#1	6259_6#1	6805_6#22	6755_3#9	6805_7#1	6259_6#6	6755_3#12	6805_7#5	6972_3#13	6805_7#7	6805_7#10	6755_3#18	6972_3#16	6259_6#14	6972_3#17	6259_6#16	6972_3#19	6755_3#23	6680 [...]
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTG	0.205	3.884e-01	3.894e-01	3.077e-01	3.575e-01	NA	6972_2#10	6775_2#12	6775_2#13	6775_2#14	6259_5#12	6805_6#9	6775_2#17	6972_2#16	6805_6#11	6775_2#19	6259_5#16	6972_2#20	6775_2#22	6775_2#23	6775_2#24	6805_6#17	6259_5#21	6972_2#24	6972_3#1	6259_6#1	6805_6#22	6755_3#9	6805_7#1	6259_6#6	6755_3#12	6805_7#5	6972_3#13	6805_7#7	6805_7#10	6755_3#18	6972_3#16	6259_6#14	6972_3#17	6259_6#16	6972_3#19	6755_3#23	6680_4#1	6972_3#23	6680_4#5	6 [...]
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.205	3.884e-01	3.894e-01	3.077e-01	3.575e-01	NA	6972_2#10	6775_2#12	6775_2#13	6775_2#14	6259_5#12	6805_6#9	6775_2#17	6972_2#16	6805_6#11	6775_2#19	6259_5#16	6972_2#20	6775_2#22	6775_2#23	6775_2#24	6805_6#17	6259_5#21	6972_2#24	6972_3#1	6259_6#1	6805_6#22	6755_3#9	6805_7#1	6259_6#6	6755_3#12	6805_7#5	6972_3#13	6805_7#7	6805_7#10	6755_3#18	6972_3#16	6259_6#14	6972_3#17	6259_6#16	6972_3#19	6755_3#23	6680_4#1	6972_3#23	6680_4#5	6680_ [...]
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.210	3.115e-01	3.129e-01	3.588e-01	3.555e-01	NA	6972_2#10	6775_2#12	6775_2#13	6775_2#14	6259_5#12	6805_6#9	6775_2#17	6972_2#16	6805_6#11	6775_2#19	6259_5#16	6972_2#20	6775_2#22	6775_2#23	6775_2#24	6805_6#17	6259_5#21	6972_2#24	6972_3#1	6259_6#1	6805_6#22	6259_6#3	6755_3#9	6805_7#1	6259_6#6	6755_3#12	6805_7#5	6972_3#13	6805_7#7	6805_7#10	6755_3#18	6972_3#16	6259_6#14	6972_3#17	6259_6#16	6972_3#19	6755_3#23	6680_4#1	6972_3#23	6680_4#5	6680_4#6	6972_ [...]
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGA	0.210	3.115e-01	3.129e-01	3.588e-01	3.555e-01	NA	6972_2#10	6775_2#12	6775_2#13	6775_2#14	6259_5#12	6805_6#9	6775_2#17	6972_2#16	6805_6#11	6775_2#19	6259_5#16	6972_2#20	6775_2#22	6775_2#23	6775_2#24	6805_6#17	6259_5#21	6972_2#24	6972_3#1	6259_6#1	6805_6#22	6259_6#3	6755_3#9	6805_7#1	6259_6#6	6755_3#12	6805_7#5	6972_3#13	6805_7#7	6805_7#10	6755_3#18	6972_3#16	6259_6#14	6972_3#17	6259_6#16	6972_3#19	6755_3#23	6680_4#1	6972_3#23	6680_4#5	6680_4#6	6972_4 [...]
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACG	0.210	3.115e-01	3.129e-01	3.588e-01	3.555e-01	NA	6972_2#10	6775_2#12	6775_2#13	6775_2#14	6259_5#12	6805_6#9	6775_2#17	6972_2#16	6805_6#11	6775_2#19	6259_5#16	6972_2#20	6775_2#22	6775_2#23	6775_2#24	6805_6#17	6259_5#21	6972_2#24	6972_3#1	6259_6#1	6805_6#22	6259_6#3	6755_3#9	6805_7#1	6259_6#6	6755_3#12	6805_7#5	6972_3#13	6805_7#7	6805_7#10	6755_3#18	6972_3#16	6259_6#14	6972_3#17	6259_6#16	6972_3#19	6755_3#23	6680_4#1	6972_3#23	6680_4#5	6680_4#6	6972_4# [...]
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.210	3.115e-01	3.129e-01	3.588e-01	3.555e-01	NA	6972_2#10	6775_2#12	6775_2#13	6775_2#14	6259_5#12	6805_6#9	6775_2#17	6972_2#16	6805_6#11	6775_2#19	6259_5#16	6972_2#20	6775_2#22	6775_2#23	6775_2#24	6805_6#17	6259_5#21	6972_2#24	6972_3#1	6259_6#1	6805_6#22	6259_6#3	6755_3#9	6805_7#1	6259_6#6	6755_3#12	6805_7#5	6972_3#13	6805_7#7	6805_7#10	6755_3#18	6972_3#16	6259_6#14	6972_3#17	6259_6#16	6972_3#19	6755_3#23	6680_4#1	6972_3#23	6680_4#5	6680_4#6	6972_4#6 [...]
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.230	2.114e-01	2.132e-01	4.301e-01	3.455e-01	NA	6972_2#10	6775_2#12	6775_2#13	6775_2#14	6259_5#12	6805_6#9	6775_2#17	6972_2#16	6805_6#11	6775_2#19	6259_5#16	6972_2#20	6775_2#22	6775_2#23	6775_2#24	6805_6#17	6259_5#21	6972_2#24	6972_3#1	6259_6#1	6805_6#22	6755_3#8	6259_6#3	6755_3#9	6805_7#1	6259_6#6	6755_3#12	6805_7#5	6972_3#13	6805_7#7	6805_7#10	6755_3#18	6972_3#16	6259_6#14	6972_3#17	6259_6#16	6972_3#19	6755_3#23	6259_6#17	6680_4#1	6972_3#23	6680_4#5 [...]
+AAAAAAAAAAAAAATGCA	0.410	1.633e-03	1.834e-03	9.372e-01	3.008e-01	NA	6840_3#1	6840_3#2	6259_5#3	6840_3#4	6259_5#6	6259_5#7	6259_5#10	6259_5#12	6840_3#13	6259_5#16	6840_3#15	6840_3#16	6840_3#17	6840_3#18	6259_5#21	6840_3#21	6840_3#22	6840_3#23	6259_6#1	6840_3#24	6259_6#2	6871_2#1	6259_6#3	6259_6#4	6871_2#3	6259_6#6	6871_2#5	6259_6#7	6871_2#6	6871_2#7	6871_2#8	6871_2#9	6871_2#13	6871_2#14	6259_6#13	6259_6#14	6259_6#15	6259_6#16	6259_6#17	6259_6#18	6823_1#5	6823_1#7	6823_1#10	6823_1#11	6259_ [...]
+AAAAAAAAAAAAAAT	0.450	6.645e-03	7.038e-03	7.893e-01	2.929e-01	NA	6871_1#24	6259_5#1	6840_3#1	6840_3#2	6259_5#3	6840_3#4	6259_5#6	6259_5#7	6259_5#10	6259_5#12	6840_3#13	6259_5#16	6840_3#15	6840_3#16	6840_3#17	6840_3#18	6259_5#21	6840_3#21	6840_3#22	6259_6#1	6840_3#23	6840_3#24	6259_6#2	6871_2#1	6259_6#3	6259_6#4	6871_2#3	6259_6#6	6871_2#5	6259_6#7	6871_2#6	6871_2#7	6871_2#8	6259_6#10	6871_2#9	6871_2#13	6871_2#14	6259_6#13	6259_6#14	6259_6#15	6259_6#16	6871_2#20	6259_6#17	6823_1#2	6259_6#1 [...]
+AAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTTCAACTAAGGAGCTCATATGTTACTGCAAAAAGAACTAATTCCAATGATAGAAGCTA	0.115	2.951e-01	2.984e-01	4.815e-01	4.630e-01	NA	6259_5#2	6972_2#6	6775_2#9	6972_2#8	6972_2#9	6972_2#10	6972_2#11	6972_2#13	6805_6#6	6259_5#13	6972_2#17	6805_6#11	6259_5#16	6805_6#14	6972_2#23	6755_3#2	6259_5#24	6972_3#6	6755_3#11	6259_6#6	6805_7#3	6755_3#16	6972_3#14	6755_3#17	6972_3#15	6259_6#16	6805_7#14	6972_3#20	6972_3#21	6840_1#1	6259_7#6	6972_4#13	6680_4#14	6972_4#14	6840_1#8	6259_ [...]
+AAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTT	0.115	2.951e-01	2.984e-01	4.815e-01	4.630e-01	NA	6259_5#2	6972_2#6	6775_2#9	6972_2#8	6972_2#9	6972_2#10	6972_2#11	6972_2#13	6805_6#6	6259_5#13	6972_2#17	6805_6#11	6259_5#16	6805_6#14	6972_2#23	6755_3#2	6259_5#24	6972_3#6	6755_3#11	6259_6#6	6805_7#3	6755_3#16	6972_3#14	6755_3#17	6972_3#15	6259_6#16	6805_7#14	6972_3#20	6972_3#21	6840_1#1	6259_7#6	6972_4#13	6680_4#14	6972_4#14	6840_1#8	6259_7#11	6840_1#10	6680_4#18	6840_1#12	6680_4#20	6972_4#22	6 [...]
+AAAAAAAAAAAAAGTGTTAAAATAAA	0.120	2.207e-01	2.249e-01	5.566e-01	4.586e-01	NA	6259_5#2	6972_2#6	6775_2#9	6972_2#8	6972_2#9	6972_2#10	6972_2#11	6972_2#13	6805_6#6	6259_5#13	6972_2#17	6805_6#11	6259_5#16	6805_6#14	6972_2#23	6755_3#2	6259_5#24	6259_6#1	6972_3#6	6755_3#11	6259_6#6	6805_7#3	6755_3#16	6972_3#14	6755_3#17	6972_3#15	6259_6#16	6805_7#14	6972_3#20	6972_3#21	6840_1#1	6259_7#6	6972_4#13	6680_4#14	6972_4#14	6840_1#8	6259_7#11	6840_1#10	6680_4#18	6840_1#12	6680_4#20	6972_4#22	6972_4#24	 [...]
+AAAAAAAAAAAAAGTGTTAAAA	0.120	2.207e-01	2.249e-01	5.566e-01	4.586e-01	NA	6259_5#2	6972_2#6	6775_2#9	6972_2#8	6972_2#9	6972_2#10	6972_2#11	6972_2#13	6805_6#6	6259_5#13	6972_2#17	6805_6#11	6259_5#16	6805_6#14	6972_2#23	6755_3#2	6259_5#24	6259_6#1	6972_3#6	6755_3#11	6259_6#6	6805_7#3	6755_3#16	6972_3#14	6755_3#17	6972_3#15	6259_6#16	6805_7#14	6972_3#20	6972_3#21	6840_1#1	6259_7#6	6972_4#13	6680_4#14	6972_4#14	6840_1#8	6259_7#11	6840_1#10	6680_4#18	6840_1#12	6680_4#20	6972_4#22	6972_4#24	6840 [...]
+AAAAAAAAAAAAAGT	0.195	6.759e-03	8.383e-03	1.052e+00	3.992e-01	NA	6871_1#24	6840_3#1	6259_5#2	6840_3#2	6840_3#6	6840_3#7	6840_3#10	6840_3#11	6259_5#13	6840_3#12	6259_5#16	6840_3#15	6259_5#17	6840_3#16	6840_3#17	6259_5#24	6259_6#1	6840_3#24	6259_6#6	6871_2#9	6871_2#13	6871_2#15	6259_6#16	6259_6#17	6823_1#3	6823_1#5	6823_1#7	6823_1#15	6259_7#6	6823_1#17	6823_1#18	6823_1#21	6259_7#11	6823_2#1	6823_2#2	6823_2#9	6823_2#10	6259_7#24	6259_8#2	6823_2#15	6823_2#18	6823_2#19	6823_2#23	6259_8#15	682 [...]
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCCT	0.245	9.868e-01	9.868e-01	5.461e-03	3.305e-01	NA	6972_2#10	6775_2#12	6775_2#13	6775_2#14	6259_5#12	6805_6#9	6775_2#17	6972_2#16	6259_5#14	6805_6#11	6775_2#19	6259_5#16	6972_2#20	6775_2#22	6775_2#23	6972_2#22	6805_6#16	6775_2#24	6259_5#20	6805_6#17	6259_5#21	6972_2#24	6972_3#1	6259_6#1	6805_6#22	6755_3#9	6805_7#1	6259_6#6	6755_3#12	6805_7#5	6972_3#13	6805_7#7	6805_7#10	6755_3#18	6972_3#16	 [...]
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATC	0.245	9.868e-01	9.868e-01	5.461e-03	3.305e-01	NA	6972_2#10	6775_2#12	6775_2#13	6775_2#14	6259_5#12	6805_6#9	6775_2#17	6972_2#16	6259_5#14	6805_6#11	6775_2#19	6259_5#16	6972_2#20	6775_2#22	6775_2#23	6972_2#22	6805_6#16	6775_2#24	6259_5#20	6805_6#17	6259_5#21	6972_2#24	6972_3#1	6259_6#1	6805_6#22	6755_3#9	6805_7#1	6259_6#6	6755_3#12	6805_7#5	6972_3#13	6805_7#7	6805_7#10	6755_3#18	6972_3#16	6259_6#14	6972_ [...]
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTG	0.245	9.868e-01	9.868e-01	5.461e-03	3.305e-01	NA	6972_2#10	6775_2#12	6775_2#13	6775_2#14	6259_5#12	6805_6#9	6775_2#17	6972_2#16	6259_5#14	6805_6#11	6775_2#19	6259_5#16	6972_2#20	6775_2#22	6775_2#23	6972_2#22	6805_6#16	6775_2#24	6259_5#20	6805_6#17	6259_5#21	6972_2#24	6972_3#1	6259_6#1	6805_6#22	6755_3#9	6805_7#1	6259_6#6	6755_3#12	6805_7#5	6972_3#13	6805_7#7	6805_7#10	6755_3#18	6972_3#16	6259_6#14	6972_3#17	6259_6#16	6972_3#19	 [...]
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.245	9.868e-01	9.868e-01	5.461e-03	3.305e-01	NA	6972_2#10	6775_2#12	6775_2#13	6775_2#14	6259_5#12	6805_6#9	6775_2#17	6972_2#16	6259_5#14	6805_6#11	6775_2#19	6259_5#16	6972_2#20	6775_2#22	6775_2#23	6972_2#22	6805_6#16	6775_2#24	6259_5#20	6805_6#17	6259_5#21	6972_2#24	6972_3#1	6259_6#1	6805_6#22	6755_3#9	6805_7#1	6259_6#6	6755_3#12	6805_7#5	6972_3#13	6805_7#7	6805_7#10	6755_3#18	6972_3#16	6259_6#14	6972_3#17	6259_6#16	6972_3#19	6755 [...]
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.250	8.696e-01	8.696e-01	5.395e-02	3.287e-01	NA	6972_2#10	6775_2#12	6775_2#13	6775_2#14	6259_5#12	6805_6#9	6775_2#17	6972_2#16	6259_5#14	6805_6#11	6775_2#19	6259_5#16	6972_2#20	6775_2#22	6775_2#23	6972_2#22	6805_6#16	6775_2#24	6259_5#20	6805_6#17	6259_5#21	6972_2#24	6972_3#1	6259_6#1	6805_6#22	6259_6#3	6755_3#9	6805_7#1	6259_6#6	6755_3#12	6805_7#5	6972_3#13	6805_7#7	6805_7#10	6755_3#18	6972_3#16	6259_6#14	6972_3#17	6259_6#16	6972_3#19	6755_3#23	668 [...]
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGA	0.250	8.696e-01	8.696e-01	5.395e-02	3.287e-01	NA	6972_2#10	6775_2#12	6775_2#13	6775_2#14	6259_5#12	6805_6#9	6775_2#17	6972_2#16	6259_5#14	6805_6#11	6775_2#19	6259_5#16	6972_2#20	6775_2#22	6775_2#23	6972_2#22	6805_6#16	6775_2#24	6259_5#20	6805_6#17	6259_5#21	6972_2#24	6972_3#1	6259_6#1	6805_6#22	6259_6#3	6755_3#9	6805_7#1	6259_6#6	6755_3#12	6805_7#5	6972_3#13	6805_7#7	6805_7#10	6755_3#18	6972_3#16	6259_6#14	6972_3#17	6259_6#16	6972_3#19	6755_3#23	6680 [...]
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACG	0.250	8.696e-01	8.696e-01	5.395e-02	3.287e-01	NA	6972_2#10	6775_2#12	6775_2#13	6775_2#14	6259_5#12	6805_6#9	6775_2#17	6972_2#16	6259_5#14	6805_6#11	6775_2#19	6259_5#16	6972_2#20	6775_2#22	6775_2#23	6972_2#22	6805_6#16	6775_2#24	6259_5#20	6805_6#17	6259_5#21	6972_2#24	6972_3#1	6259_6#1	6805_6#22	6259_6#3	6755_3#9	6805_7#1	6259_6#6	6755_3#12	6805_7#5	6972_3#13	6805_7#7	6805_7#10	6755_3#18	6972_3#16	6259_6#14	6972_3#17	6259_6#16	6972_3#19	6755_3#23	6680_ [...]
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.250	8.696e-01	8.696e-01	5.395e-02	3.287e-01	NA	6775_2#12	6972_2#10	6775_2#13	6775_2#14	6259_5#12	6805_6#9	6775_2#17	6972_2#16	6259_5#14	6805_6#11	6775_2#19	6259_5#16	6775_2#22	6972_2#20	6775_2#23	6805_6#16	6775_2#24	6972_2#22	6259_5#20	6805_6#17	6259_5#21	6972_2#24	6972_3#1	6259_6#1	6805_6#22	6259_6#3	6755_3#9	6805_7#1	6259_6#6	6755_3#12	6805_7#5	6805_7#7	6972_3#13	6805_7#10	6755_3#18	6972_3#16	6259_6#14	6972_3#17	6259_6#16	6755_3#23	6972_3#19	6680_4 [...]
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.270	6.773e-01	6.774e-01	1.337e-01	3.214e-01	NA	6871_1#24	6840_3#1	6840_3#2	6259_5#12	6259_5#14	6840_3#13	6259_5#16	6840_3#16	6840_3#17	6259_5#20	6259_5#21	6259_6#1	6840_3#24	6259_6#3	6259_6#6	6871_2#13	6871_2#15	6259_6#14	6259_6#16	6259_6#17	6823_1#5	6823_1#7	6259_6#21	6823_1#9	6823_1#11	6259_7#1	6823_1#13	6259_7#4	6823_1#15	6823_1#17	6823_1#18	6823_1#23	6823_2#1	6823_2#2	6259_7#18	6823_2#8	6823_2#10	6259_8#2	6823_2#13	6259_8#6	6259_8#8	6823_2#19	6823 [...]
+AAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTTCAACTAAGGAGCTCATATGTTACTGCAAAAAGAACTAATTCCAATGATAGAAGCTAA	0.115	2.951e-01	2.984e-01	4.815e-01	4.630e-01	NA	6259_5#2	6972_2#6	6775_2#9	6972_2#8	6972_2#9	6972_2#10	6972_2#11	6972_2#13	6805_6#6	6259_5#13	6972_2#17	6805_6#11	6972_2#18	6259_5#16	6805_6#14	6972_2#23	6755_3#2	6259_5#24	6972_3#6	6755_3#11	6259_6#6	6805_7#3	6755_3#16	6972_3#14	6755_3#17	6972_3#15	6259_6#16	6805_7#14	6972_3#20	6972_3#21	6840_1#1	6259_7#6	6972_4#13	6680_4#14	6972_4#14	6840 [...]
+AAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTT	0.115	2.951e-01	2.984e-01	4.815e-01	4.630e-01	NA	6259_5#2	6972_2#6	6775_2#9	6972_2#8	6972_2#9	6972_2#10	6972_2#11	6972_2#13	6805_6#6	6259_5#13	6972_2#17	6805_6#11	6972_2#18	6259_5#16	6805_6#14	6972_2#23	6755_3#2	6259_5#24	6972_3#6	6755_3#11	6259_6#6	6805_7#3	6755_3#16	6972_3#14	6755_3#17	6972_3#15	6259_6#16	6805_7#14	6972_3#20	6972_3#21	6840_1#1	6259_7#6	6972_4#13	6680_4#14	6972_4#14	6840_1#8	6259_7#11	6840_1#10	6680_4#18	6840_1#12	6680_4#20	69 [...]
+AAAAAAAAAAAAGTGTTAAAATAAA	0.120	2.207e-01	2.249e-01	5.566e-01	4.586e-01	NA	6259_5#2	6972_2#6	6775_2#9	6972_2#8	6972_2#9	6972_2#10	6972_2#11	6972_2#13	6805_6#6	6259_5#13	6972_2#17	6805_6#11	6972_2#18	6259_5#16	6805_6#14	6972_2#23	6755_3#2	6259_5#24	6259_6#1	6972_3#6	6755_3#11	6259_6#6	6805_7#3	6755_3#16	6972_3#14	6755_3#17	6972_3#15	6259_6#16	6805_7#14	6972_3#20	6972_3#21	6840_1#1	6259_7#6	6972_4#13	6680_4#14	6972_4#14	6840_1#8	6259_7#11	6840_1#10	6680_4#18	6840_1#12	6680_4#20	6972_4#22	6 [...]
+AAAAAAAAAAAAGTGTTAAAA	0.120	2.207e-01	2.249e-01	5.566e-01	4.586e-01	NA	6259_5#2	6972_2#6	6775_2#9	6972_2#8	6972_2#9	6972_2#10	6972_2#11	6972_2#13	6805_6#6	6259_5#13	6972_2#17	6805_6#11	6972_2#18	6259_5#16	6805_6#14	6972_2#23	6755_3#2	6259_5#24	6259_6#1	6972_3#6	6755_3#11	6259_6#6	6805_7#3	6755_3#16	6972_3#14	6755_3#17	6972_3#15	6259_6#16	6805_7#14	6972_3#20	6972_3#21	6840_1#1	6259_7#6	6972_4#13	6680_4#14	6972_4#14	6840_1#8	6259_7#11	6840_1#10	6680_4#18	6840_1#12	6680_4#20	6972_4#22	6972_ [...]
+AAAAAAAAAAAAGTG	0.120	2.207e-01	2.249e-01	5.566e-01	4.586e-01	NA	6259_5#2	6972_2#6	6775_2#9	6972_2#8	6972_2#9	6972_2#10	6972_2#11	6805_6#6	6972_2#13	6259_5#13	6805_6#11	6972_2#17	6972_2#18	6259_5#16	6805_6#14	6972_2#23	6755_3#2	6259_5#24	6259_6#1	6972_3#6	6755_3#11	6259_6#6	6805_7#3	6755_3#16	6755_3#17	6972_3#14	6972_3#15	6259_6#16	6805_7#14	6972_3#20	6972_3#21	6840_1#1	6259_7#6	6972_4#13	6680_4#14	6972_4#14	6840_1#8	6259_7#11	6680_4#18	6840_1#10	6840_1#12	6680_4#20	6972_4#22	6972_4#24	6 [...]
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCCTC	0.290	3.637e-01	3.643e-01	-2.836e-01	3.126e-01	NA	6840_3#1	6840_3#2	6840_3#5	6259_5#8	6259_5#12	6259_5#14	6840_3#13	6259_5#16	6840_3#16	6840_3#17	6259_5#20	6840_3#19	6259_5#21	6840_3#20	6259_6#1	6840_3#24	6871_2#2	6259_6#6	6871_2#13	6871_2#15	6259_6#14	6259_6#16	6823_1#5	6823_1#7	6259_6#21	6259_6#22	6823_1#9	6823_1#11	6823_1#13	6259_7#3	6259_7#4	6823_1#15	6823_1#17	6823_1#18	6823_1#23	682 [...]
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCCT	0.295	4.451e-01	4.455e-01	-2.373e-01	3.110e-01	NA	6840_3#1	6840_3#2	6840_3#5	6259_5#8	6259_5#12	6259_5#14	6840_3#13	6259_5#16	6840_3#16	6840_3#17	6259_5#20	6840_3#19	6259_5#21	6840_3#20	6259_6#1	6840_3#24	6871_2#2	6259_6#6	6871_2#13	6871_2#15	6259_6#14	6259_6#16	6823_1#5	6823_1#7	6259_6#21	6259_6#22	6823_1#9	6823_1#11	6823_1#13	6259_7#3	6259_7#4	6823_1#15	6823_1#17	6823_1#18	6823_1#23	6823 [...]
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATC	0.295	4.451e-01	4.455e-01	-2.373e-01	3.110e-01	NA	6840_3#1	6840_3#2	6840_3#5	6259_5#8	6259_5#12	6259_5#14	6840_3#13	6259_5#16	6840_3#16	6840_3#17	6259_5#20	6840_3#19	6259_5#21	6840_3#20	6259_6#1	6840_3#24	6871_2#2	6259_6#6	6871_2#13	6871_2#15	6259_6#14	6259_6#16	6823_1#5	6823_1#7	6259_6#21	6259_6#22	6823_1#9	6823_1#11	6823_1#13	6259_7#3	6259_7#4	6823_1#15	6823_1#17	6823_1#18	6823_1#23	6823_2#1	6823_2#2	6 [...]
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGT	0.295	4.451e-01	4.455e-01	-2.373e-01	3.110e-01	NA	6840_3#1	6840_3#2	6840_3#5	6259_5#8	6259_5#12	6259_5#14	6840_3#13	6259_5#16	6840_3#16	6840_3#17	6259_5#20	6840_3#19	6259_5#21	6840_3#20	6259_6#1	6840_3#24	6871_2#2	6259_6#6	6871_2#13	6871_2#15	6259_6#14	6259_6#16	6823_1#5	6823_1#7	6259_6#21	6259_6#22	6823_1#9	6823_1#11	6823_1#13	6259_7#3	6259_7#4	6823_1#15	6823_1#17	6823_1#18	6823_1#23	6823_2#1	6823_2#2	6259_7#18	6823_2#8	682 [...]
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTG	0.295	4.451e-01	4.455e-01	-2.373e-01	3.110e-01	NA	6840_3#1	6840_3#2	6840_3#5	6259_5#8	6259_5#12	6259_5#14	6840_3#13	6259_5#16	6840_3#16	6840_3#17	6259_5#20	6840_3#19	6259_5#21	6840_3#20	6259_6#1	6840_3#24	6871_2#2	6259_6#6	6871_2#13	6871_2#15	6259_6#14	6259_6#16	6823_1#5	6823_1#7	6259_6#21	6259_6#22	6823_1#9	6823_1#11	6823_1#13	6259_7#3	6259_7#4	6823_1#15	6823_1#17	6823_1#18	6823_1#23	6823_2#1	6823_2#2	6259_7#18	6823_2#8	6823_2# [...]
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.295	4.451e-01	4.455e-01	-2.373e-01	3.110e-01	NA	6840_3#1	6840_3#2	6840_3#5	6259_5#8	6259_5#12	6259_5#14	6840_3#13	6259_5#16	6840_3#16	6840_3#17	6259_5#20	6840_3#19	6259_5#21	6840_3#20	6259_6#1	6840_3#24	6871_2#2	6259_6#6	6871_2#13	6871_2#15	6259_6#14	6259_6#16	6823_1#5	6823_1#7	6259_6#21	6259_6#22	6823_1#9	6823_1#11	6823_1#13	6259_7#3	6259_7#4	6823_1#15	6823_1#17	6823_1#18	6823_1#23	6823_2#1	6823_2#2	6259_7#18	6823_2#8	6823_2#10	6 [...]
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATA	0.100	1.552e-01	1.619e-01	7.138e-01	5.103e-01	NA	6631_3#11	6925_3#19	6631_3#23	6972_2#8	6925_4#1	6972_2#10	6736_7#15	6925_4#4	6259_6#1	6805_6#13	6259_6#4	6631_4#9	6925_4#10	7038_6#11	6805_6#21	6736_8#4	7038_6#12	6805_6#22	6755_3#12	6972_2#24	6805_7#1	6259_6#15	6805_7#2	6736_8#12	6631_4#22	6925_5#2	6631_5#1	6925_5#3	6972_3#11	6680_4#1	6972_3#12	6736_8#18	6631_5#4	6259_7#2	6972_3#17	6805_7#20	6972_3#24	7038_7#16	6841_7#10	6925_5#24	7038_7#20	6259_7#22	 [...]
+AAAAAAAAAAAGCATTTTACTATTTTATATATATAT	0.115	5.475e-01	5.484e-01	2.719e-01	4.531e-01	NA	6631_3#11	6925_3#15	6925_3#19	6631_3#23	6972_2#8	6925_4#1	6972_2#10	6736_7#15	6925_4#3	6925_4#4	6259_6#1	6805_6#13	6259_6#4	6631_4#9	6925_4#10	7038_6#11	6805_6#21	6736_8#4	7038_6#12	6805_6#22	6755_3#12	6972_2#24	6805_7#1	6259_6#15	6805_7#2	6736_8#12	6631_4#22	6925_5#2	6631_5#1	6925_5#3	6972_3#11	6680_4#1	6972_3#12	6736_8#18	6631_5#4	6259_7#2	6972_3#17	6680_4#8	6805_7#20	6972_3#24	6680_4#14	7038_7#16	684 [...]
+AAAAAAAAAAAGCATTTTACTATTTTATATATATA	0.115	5.475e-01	5.484e-01	2.719e-01	4.531e-01	NA	6631_3#11	6925_3#15	6925_3#19	6631_3#23	6972_2#8	6925_4#1	6972_2#10	6736_7#15	6925_4#3	6925_4#4	6259_6#1	6805_6#13	6259_6#4	6631_4#9	6925_4#10	7038_6#11	6805_6#21	6736_8#4	7038_6#12	6805_6#22	6755_3#12	6972_2#24	6805_7#1	6259_6#15	6805_7#2	6805_7#5	6736_8#12	6631_4#22	6925_5#2	6631_5#1	6925_5#3	6972_3#11	6680_4#1	6972_3#12	6736_8#18	6631_5#4	6259_7#2	6972_3#17	6680_4#8	6805_7#20	6680_4#10	6972_3#22	6972_ [...]
+AAAAAAAAAAAGCATTTTACTATTTTATATATAT	0.120	7.264e-01	7.266e-01	1.542e-01	4.408e-01	NA	6631_3#11	6925_3#15	6925_3#19	6631_3#23	6972_2#8	6925_4#1	6972_2#10	6736_7#15	6925_4#3	6925_4#4	6259_6#1	6805_6#13	6259_6#4	6631_4#9	6925_4#10	7038_6#11	6805_6#21	6736_8#4	7038_6#12	6805_6#22	6755_3#12	6972_2#24	6805_7#1	6259_6#15	6805_7#2	6805_7#5	6736_8#12	6631_4#22	6925_5#2	6631_5#1	6925_5#3	6972_3#11	6680_4#1	6972_3#12	6736_8#18	6631_5#4	6259_7#2	6972_3#17	6680_4#8	6805_7#20	6680_4#10	6972_3#22	6972_3 [...]
+AAAAAAAAAAAGCATTTTACTATTTTATATATA	0.120	7.264e-01	7.266e-01	1.542e-01	4.408e-01	NA	6631_3#11	6925_3#15	6925_3#19	6631_3#23	6972_2#8	6925_4#1	6972_2#10	6736_7#15	6925_4#3	6925_4#4	6259_6#1	6805_6#13	6259_6#4	6631_4#9	6925_4#10	7038_6#11	6805_6#21	6736_8#4	7038_6#12	6805_6#22	6755_3#12	6972_2#24	6805_7#1	6259_6#15	6805_7#2	6805_7#5	6736_8#12	6631_4#22	6925_5#2	6631_5#1	6925_5#3	6972_3#11	6680_4#1	6972_3#12	6736_8#18	6631_5#4	6259_7#2	6972_3#17	6680_4#8	6805_7#20	6680_4#10	6972_3#22	6972_3# [...]
+AAAAAAAAAAAGCATTTTACTATTTTATATAT	0.120	7.264e-01	7.266e-01	1.542e-01	4.408e-01	NA	6631_3#11	6925_3#15	6925_3#19	6631_3#23	6972_2#8	6925_4#1	6972_2#10	6736_7#15	6925_4#3	6805_6#10	6925_4#4	6259_6#1	6805_6#13	6259_6#4	6631_4#9	6925_4#10	7038_6#11	6805_6#21	6736_8#4	7038_6#12	6805_6#22	6755_3#12	6972_2#24	6805_7#1	6259_6#15	6805_7#2	6805_7#5	6736_8#12	6631_4#22	6925_5#2	6631_5#1	6925_5#3	6972_3#11	6680_4#1	6972_3#12	6736_8#18	6631_5#4	6259_7#2	6972_3#17	6680_4#8	6805_7#20	6680_4#10	6972_3#2 [...]
+AAAAAAAAAAAGCATTTTACTATTTTATATA	0.120	7.264e-01	7.266e-01	1.542e-01	4.408e-01	NA	6631_3#11	6925_3#15	6925_3#19	6631_3#23	6972_2#8	6925_4#1	6972_2#10	6736_7#15	6925_4#3	6805_6#10	6925_4#4	6259_6#1	6805_6#13	6259_6#4	6631_4#9	6925_4#10	7038_6#11	6805_6#21	6736_8#4	7038_6#12	6805_6#22	6755_3#12	6972_2#24	6805_7#1	6259_6#15	6805_7#2	6805_7#5	6736_8#12	6631_4#22	6925_5#2	6631_5#1	6925_5#3	6972_3#11	6680_4#1	6972_3#12	6736_8#18	6631_5#4	6259_7#2	6972_3#17	6680_4#8	6805_7#20	6680_4#10	6972_3#22 [...]
+AAAAAAAAAAAGCATTTTACTATTTTATAT	0.120	7.264e-01	7.266e-01	1.542e-01	4.408e-01	NA	6631_3#11	6925_3#15	6925_3#19	6631_3#23	6972_2#8	6925_4#1	6972_2#10	6736_7#15	6925_4#3	6805_6#10	6925_4#4	6259_6#1	6805_6#13	6259_6#4	6631_4#9	6925_4#10	6755_3#7	7038_6#11	6805_6#21	6736_8#4	7038_6#12	6805_6#22	6755_3#12	6972_2#24	6805_7#1	6259_6#15	6805_7#2	6805_7#5	6736_8#12	6631_4#22	6925_5#2	6631_5#1	6925_5#3	6972_3#11	6680_4#1	6972_3#12	6736_8#18	6631_5#4	6259_7#2	6972_3#17	6680_4#8	6805_7#20	6680_4#10	6 [...]
+AAAAAAAAAAAGCATTTTACTATTTTATA	0.125	9.144e-01	9.144e-01	4.626e-02	4.306e-01	NA	6631_3#11	6925_3#15	6736_7#4	6259_5#15	6925_3#19	6631_3#23	6972_2#8	6925_4#1	6972_2#10	6736_7#15	6925_4#3	6805_6#10	6925_4#4	6259_6#1	6805_6#13	6259_6#4	6631_4#9	6925_4#10	6755_3#7	7038_6#11	6805_6#21	6736_8#4	7038_6#12	6805_6#22	6755_3#12	6972_2#24	6805_7#1	6259_6#15	6805_7#2	6805_7#5	6736_8#12	6631_4#22	6925_5#2	6631_5#1	6925_5#3	6972_3#11	6680_4#1	6972_3#12	6736_8#18	6631_5#4	6259_7#2	6972_3#17	6680_4#8	680 [...]
+AAAAAAAAAAAGCATTTTACTATTTTA	0.125	9.144e-01	9.144e-01	4.626e-02	4.306e-01	NA	6631_3#11	6925_3#15	6736_7#4	6259_5#15	6925_3#19	6631_3#23	6972_2#8	6925_4#1	6972_2#10	6736_7#15	6925_4#3	6805_6#10	6925_4#4	6259_6#1	6805_6#13	6259_6#4	6631_4#9	6925_4#10	6755_3#7	6736_8#4	7038_6#11	6805_6#21	7038_6#12	6805_6#22	6755_3#12	6972_2#24	6805_7#1	6259_6#15	6805_7#2	6631_4#22	6736_8#12	6805_7#5	6631_5#1	6925_5#2	6925_5#3	6972_3#11	6680_4#1	6631_5#4	6736_8#18	6972_3#12	6259_7#2	6972_3#17	6680_4#8	6805_ [...]
+Done.
diff --git a/test/test4.txt b/test/test4.txt
new file mode 100644
index 0000000..d35d947
--- /dev/null
+++ b/test/test4.txt
@@ -0,0 +1,20 @@
+seer: sequence element enrichment analysis
+Detected continuous phenotype
+sequence	maf	unadj_p_val	p_val	beta	se	comments
+AAAAAAAAAAAAAAA	0.385	4.256e-01	4.331e-01	-6.599e+00	8.419e+00	NA
+AAAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTTCAACTAAGGAGCTCATATGTTACTGCAAAAAGAACTAATTCCAATGATAGAAGCT	0.105	6.903e-01	6.719e-01	-5.666e+00	1.338e+01	NA
+AAAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTT	0.105	6.903e-01	6.719e-01	-5.666e+00	1.338e+01	NA
+AAAAAAAAAAAAAAGTGTTAAAATAAA	0.110	5.057e-01	4.754e-01	-9.346e+00	1.310e+01	NA
+AAAAAAAAAAAAAAGTGTTAAAA	0.110	5.057e-01	4.754e-01	-9.346e+00	1.310e+01	NA
+AAAAAAAAAAAAAAGT	0.165	7.270e-01	7.339e-01	-3.756e+00	1.105e+01	NA
+AAAAAAAAAAAAAAG	0.185	6.023e-01	6.142e-01	-5.323e+00	1.056e+01	NA
+AAAAAAAAAAAAAATGCATATTTATATTAGCAAAA	0.125	7.467e-01	7.248e-01	-4.366e+00	1.240e+01	NA
+AAAAAAAAAAAAAATGCATATTTATATTAG	0.125	7.467e-01	7.248e-01	-4.366e+00	1.240e+01	NA
+AAAAAAAAAAAAAATGCATATTTATATTA	0.130	9.712e-01	9.682e-01	-4.863e-01	1.220e+01	NA
+AAAAAAAAAAAAAAT	0.450	1.000e+00	1.000e+00	-4.716e-07	8.247e+00	NA
+AAAAAAAAAAAAAGTGTTAAAATAAA	0.120	8.310e-01	8.190e-01	-2.888e+00	1.262e+01	NA
+AAAAAAAAAAAAAGTGTTAAAA	0.120	8.310e-01	8.190e-01	-2.888e+00	1.262e+01	NA
+AAAAAAAAAAAAGTGTTAAAATAAA	0.120	8.310e-01	8.190e-01	-2.888e+00	1.262e+01	NA
+AAAAAAAAAAAAGTGTTAAAA	0.120	8.310e-01	8.190e-01	-2.888e+00	1.262e+01	NA
+AAAAAAAAAAAAGTG	0.120	8.310e-01	8.190e-01	-2.888e+00	1.262e+01	NA
+Done.
diff --git a/test/test5.txt b/test/test5.txt
new file mode 100644
index 0000000..5b044c3
--- /dev/null
+++ b/test/test5.txt
@@ -0,0 +1,182 @@
+seer: sequence element enrichment analysis
+Detected binary phenotype
+sequence	maf	unadj_p_val	p_val	beta	se	covar1_p	covar2_p	covar3_p	comments
+AAAAAAAAAAAAAAAAAAAT	0.034	2.162e-05	3.964e-11	1.862e+00	2.818e-01	4.097e-50	7.912e-27	6.002e-02	bfgs-fail
+AAAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAA	0.035	2.322e-07	6.657e-15	2.317e+00	2.974e-01	2.198e-50	3.034e-27	2.498e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.036	7.217e-08	2.851e-15	2.341e+00	2.964e-01	2.291e-50	3.967e-27	2.549e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAATGCATATTTATCTTAG	0.038	2.078e-05	3.556e-13	1.829e+00	2.514e-01	2.937e-50	7.387e-27	1.456e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAATGCATATTTATCTT	0.039	1.614e-05	3.095e-13	1.832e+00	2.512e-01	2.678e-50	6.507e-27	1.461e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAATGCATATTTATCT	0.039	1.251e-05	2.568e-13	1.837e+00	2.510e-01	2.571e-50	6.613e-27	1.475e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAATGCATATTTAT	0.042	1.333e-05	1.849e-13	1.750e+00	2.377e-01	3.082e-50	1.040e-26	1.353e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAATGCATAT	0.043	2.389e-05	3.677e-13	1.704e+00	2.344e-01	3.182e-50	1.098e-26	1.267e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAATGCAT	0.044	1.145e-05	1.874e-13	1.720e+00	2.337e-01	2.604e-50	9.679e-27	1.278e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAATGCA	0.044	1.145e-05	1.874e-13	1.720e+00	2.337e-01	2.604e-50	9.679e-27	1.278e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAATG	0.044	2.042e-05	3.723e-13	1.676e+00	2.305e-01	2.674e-50	1.017e-26	1.203e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAAT	0.055	1.166e-02	8.863e-09	1.094e+00	1.901e-01	2.087e-50	1.071e-26	4.141e-02	bfgs-fail
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAG	0.051	8.449e-07	1.059e-15	1.766e+00	2.202e-01	3.339e-51	8.333e-28	2.404e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.052	6.558e-07	8.409e-16	1.771e+00	2.200e-01	3.118e-51	8.176e-28	2.420e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.052	1.198e-06	1.358e-15	1.737e+00	2.174e-01	2.999e-51	7.973e-28	2.244e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.055	2.341e-07	2.230e-16	1.751e+00	2.133e-01	2.967e-51	1.221e-27	2.412e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAG	0.062	3.561e-05	4.309e-14	1.423e+00	1.884e-01	5.203e-51	2.832e-27	1.391e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCATATTTATCTT	0.063	2.880e-05	3.678e-14	1.426e+00	1.882e-01	4.725e-51	2.530e-27	1.397e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCATATTTATCT	0.063	2.327e-05	2.992e-14	1.429e+00	1.881e-01	4.533e-51	2.557e-27	1.411e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCATATTTAT	0.085	8.350e-08	1.320e-19	1.494e+00	1.649e-01	2.244e-50	3.645e-26	1.661e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCATAT	0.085	1.384e-07	2.532e-19	1.474e+00	1.640e-01	2.359e-50	3.791e-26	1.596e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCAT	0.086	5.523e-08	9.059e-20	1.488e+00	1.635e-01	1.812e-50	3.363e-26	1.609e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCA	0.086	5.523e-08	9.059e-20	1.488e+00	1.635e-01	1.812e-50	3.363e-26	1.609e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATG	0.087	9.174e-08	1.737e-19	1.468e+00	1.626e-01	1.895e-50	3.484e-26	1.552e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAT	0.099	8.217e-05	9.767e-15	1.132e+00	1.462e-01	1.565e-50	2.668e-26	7.195e-02	bfgs-fail
+AAAAAAAAAAAAAAAAA	0.110	3.317e-05	3.395e-16	1.143e+00	1.401e-01	7.458e-51	1.170e-26	8.631e-02	NA
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGT	0.080	2.772e-03	8.569e-06	7.271e-01	1.634e-01	4.683e-50	1.082e-27	4.461e-02	bfgs-fail
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.080	2.377e-03	8.394e-06	7.277e-01	1.633e-01	5.078e-50	1.059e-27	4.470e-02	bfgs-fail
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.081	1.741e-03	5.688e-06	7.393e-01	1.629e-01	4.781e-50	1.011e-27	4.603e-02	bfgs-fail
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.081	2.354e-03	7.513e-06	7.265e-01	1.622e-01	4.660e-50	1.024e-27	4.375e-02	bfgs-fail
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.087	2.560e-03	4.741e-06	7.171e-01	1.567e-01	4.154e-50	1.124e-27	5.327e-02	bfgs-fail
+AAAAAAAAAAAAAAAATGCATATTTATCTTAG	0.109	4.691e-01	8.132e-03	3.541e-01	1.338e-01	5.655e-50	4.996e-27	1.629e-02	NA
+AAAAAAAAAAAAAAAATGCATATTTATCTT	0.109	4.422e-01	7.458e-03	3.576e-01	1.337e-01	5.383e-50	4.809e-27	1.645e-02	NA
+AAAAAAAAAAAAAAAATGCATATTTATCT	0.109	4.163e-01	6.707e-03	3.620e-01	1.335e-01	5.319e-50	4.795e-27	1.668e-02	NA
+AAAAAAAAAAAAAAAATGCATATTTAT	0.137	3.737e-02	2.305e-06	5.745e-01	1.216e-01	1.363e-49	1.330e-26	3.116e-02	NA
+AAAAAAAAAAAAAAAATGCATAT	0.137	4.413e-02	3.140e-06	5.657e-01	1.213e-01	1.390e-49	1.349e-26	3.031e-02	NA
+AAAAAAAAAAAAAAAATGCAT	0.138	3.008e-02	1.569e-06	5.812e-01	1.210e-01	1.212e-49	1.290e-26	3.128e-02	NA
+AAAAAAAAAAAAAAAATGCA	0.138	3.008e-02	1.569e-06	5.812e-01	1.210e-01	1.212e-49	1.290e-26	3.128e-02	NA
+AAAAAAAAAAAAAAAATG	0.139	3.569e-02	2.147e-06	5.724e-01	1.208e-01	1.233e-49	1.306e-26	3.049e-02	NA
+AAAAAAAAAAAAAAAAT	0.156	1.786e-01	1.262e-04	4.374e-01	1.141e-01	7.998e-50	1.170e-26	1.948e-02	NA
+AAAAAAAAAAAAAAAA	0.175	4.098e-02	7.256e-07	5.496e-01	1.109e-01	7.486e-50	7.130e-27	3.180e-02	NA
+AAAAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTTCAACTAAGGAGCTCATATGTTACTGCAAAAAGAACTAATTCCAATGATAGAAGC	0.096	2.357e-15	9.395e-16	1.349e+00	1.678e-01	7.253e-53	2.444e-25	3.551e-03	bfgs-fail
+AAAAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTT	0.097	1.762e-15	5.864e-16	1.358e+00	1.678e-01	6.473e-53	2.302e-25	3.378e-03	bfgs-fail
+AAAAAAAAAAAAAAAGTGTTAAAATAAA	0.098	5.476e-16	7.031e-17	1.400e+00	1.677e-01	5.620e-53	2.215e-25	4.237e-03	bfgs-fail
+AAAAAAAAAAAAAAAGTGTTAAAA	0.098	4.082e-16	6.001e-17	1.403e+00	1.676e-01	5.585e-53	2.395e-25	4.105e-03	bfgs-fail
+AAAAAAAAAAAAAAAGT	0.111	1.425e-18	2.141e-16	1.318e+00	1.604e-01	2.899e-51	7.277e-26	4.401e-03	NA
+AAAAAAAAAAAAAAAG	0.120	1.616e-16	9.460e-16	1.204e+00	1.499e-01	2.453e-51	5.071e-26	4.659e-03	NA
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTC	0.171	2.029e-21	2.728e-04	5.156e-01	1.417e-01	8.020e-41	1.054e-28	3.525e-02	NA
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATC	0.171	3.896e-21	3.777e-04	5.022e-01	1.413e-01	5.660e-41	1.231e-28	3.388e-02	NA
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTG	0.172	2.911e-21	3.699e-04	5.030e-01	1.413e-01	6.600e-41	1.213e-28	3.399e-02	NA
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.172	2.174e-21	3.616e-04	5.039e-01	1.413e-01	7.719e-41	1.192e-28	3.412e-02	NA
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.176	6.241e-23	4.859e-05	5.667e-01	1.395e-01	2.852e-40	4.823e-29	4.065e-02	NA
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGA	0.177	2.370e-22	9.785e-05	5.404e-01	1.387e-01	1.459e-40	6.486e-29	3.711e-02	NA
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACG	0.177	1.762e-22	9.560e-05	5.413e-01	1.387e-01	1.717e-40	6.377e-29	3.724e-02	NA
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.177	3.411e-22	1.178e-04	5.328e-01	1.384e-01	1.306e-40	7.049e-29	3.578e-02	NA
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.189	1.958e-18	1.159e-03	4.263e-01	1.312e-01	3.258e-42	1.960e-28	4.446e-02	NA
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTC	0.018	3.068e-09	3.042e-03	4.265e+00	1.439e+00	1.720e-51	2.106e-26	1.717e-03	bad-chisq
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATA	0.019	2.207e-09	2.994e-03	4.272e+00	1.439e+00	1.768e-51	2.440e-26	1.699e-03	bad-chisq
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACG	0.019	1.588e-09	2.898e-03	4.285e+00	1.439e+00	1.728e-51	2.568e-26	1.684e-03	bad-chisq
+AAAAAAAAAAAAAAA	0.415	7.746e-25	1.283e-14	6.825e-01	8.853e-02	2.365e-43	4.518e-28	5.596e-02	NA
+AAAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTTCAACTAAGGAGCTCATATGTTACTGCAAAAAGAACTAATTCCAATGATAGAAGCT	0.149	8.428e-24	6.366e-22	1.325e+00	1.376e-01	4.008e-54	4.526e-24	1.321e-03	NA
+AAAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTT	0.149	6.165e-24	3.870e-22	1.331e+00	1.376e-01	3.558e-54	4.274e-24	1.247e-03	NA
+AAAAAAAAAAAAAAGTGTTAAAATAAA	0.151	1.756e-24	4.382e-23	1.361e+00	1.376e-01	3.006e-54	4.170e-24	1.554e-03	NA
+AAAAAAAAAAAAAAGTGTTAAAA	0.151	1.281e-24	3.642e-23	1.363e+00	1.375e-01	2.972e-54	4.515e-24	1.496e-03	NA
+AAAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCATTGCATG	0.109	1.943e-49	4.637e-09	3.205e+00	5.465e-01	2.801e-18	1.034e-35	4.308e-03	bfgs-fail
+AAAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCA	0.109	1.943e-49	4.637e-09	3.205e+00	5.465e-01	2.801e-18	1.034e-35	4.308e-03	bfgs-fail
+AAAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGG	0.110	8.940e-50	3.879e-09	3.222e+00	5.467e-01	8.326e-18	7.883e-36	4.428e-03	bfgs-fail
+AAAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACT	0.110	6.062e-50	3.308e-09	3.232e+00	5.460e-01	8.081e-18	7.666e-36	4.387e-03	bfgs-fail
+AAAAAAAAAAAAAAGTTCAAAATG	0.110	6.062e-50	3.308e-09	3.232e+00	5.460e-01	8.081e-18	7.666e-36	4.387e-03	bfgs-fail
+AAAAAAAAAAAAAAGTTCAAAAT	0.111	2.785e-50	1.911e-09	3.269e+00	5.439e-01	7.443e-18	5.283e-36	4.884e-03	bfgs-fail
+AAAAAAAAAAAAAAGT	0.255	3.647e-72	2.801e-29	1.476e+00	1.314e-01	1.487e-30	2.117e-30	2.707e-03	NA
+AAAAAAAAAAAAAAG	0.266	1.147e-67	5.016e-28	1.357e+00	1.236e-01	3.835e-32	3.870e-30	3.166e-03	NA
+AAAAAAAAAAAAAATGCATATTTATATTAGCAAAA	0.140	4.769e-32	2.327e-20	1.484e+00	1.605e-01	6.106e-50	4.846e-17	1.012e-02	NA
+AAAAAAAAAAAAAATGCATATTTATATTAG	0.141	7.311e-31	1.756e-19	1.421e+00	1.573e-01	5.068e-50	2.832e-17	9.950e-03	NA
+AAAAAAAAAAAAAATGCATATTTATATTA	0.141	5.180e-31	1.289e-19	1.425e+00	1.573e-01	4.790e-50	2.901e-17	9.971e-03	NA
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCC	0.224	1.328e-27	1.974e-05	5.409e-01	1.268e-01	1.588e-37	1.313e-29	3.052e-02	NA
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATC	0.224	2.583e-27	2.763e-05	5.302e-01	1.265e-01	1.104e-37	1.561e-29	2.970e-02	NA
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTG	0.225	1.893e-27	2.698e-05	5.311e-01	1.265e-01	1.330e-37	1.536e-29	2.980e-02	NA
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.225	1.387e-27	2.629e-05	5.320e-01	1.266e-01	1.608e-37	1.508e-29	2.990e-02	NA
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.229	6.268e-29	4.380e-06	5.753e-01	1.253e-01	5.054e-37	5.966e-30	3.409e-02	NA
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGA	0.230	4.700e-28	1.251e-05	5.440e-01	1.245e-01	1.774e-37	9.879e-30	3.072e-02	NA
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACG	0.230	4.700e-28	1.251e-05	5.440e-01	1.245e-01	1.774e-37	9.879e-30	3.072e-02	NA
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.230	9.119e-28	1.538e-05	5.373e-01	1.243e-01	1.335e-37	1.107e-29	2.973e-02	NA
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.245	7.266e-24	9.860e-05	4.630e-01	1.189e-01	3.108e-39	2.629e-29	5.224e-02	NA
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCC	0.024	3.069e-11	1.039e-05	3.688e+00	8.364e-01	1.902e-52	5.530e-27	4.574e-04	bad-chisq
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATA	0.025	2.205e-11	1.014e-05	3.692e+00	8.363e-01	1.955e-52	6.389e-27	4.524e-04	bad-chisq
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACG	0.025	1.584e-11	9.635e-06	3.700e+00	8.361e-01	1.909e-52	6.706e-27	4.473e-04	bad-chisq
+AAAAAAAAAAAAAATGCA	0.461	1.777e-48	5.752e-16	7.181e-01	8.869e-02	8.318e-40	3.903e-25	7.841e-02	NA
+AAAAAAAAAAAAAAT	0.489	2.057e-41	3.340e-13	6.338e-01	8.703e-02	2.427e-41	2.455e-25	5.026e-02	NA
+AAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTTCAACTAAGGAGCTCATATGTTACTGCAAAAAGAACTAATTCCAATGATAGAAGCTA	0.164	2.985e-24	2.695e-22	1.258e+00	1.296e-01	3.321e-54	1.287e-23	6.145e-04	NA
+AAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTT	0.165	2.190e-24	1.634e-22	1.265e+00	1.295e-01	2.954e-54	1.220e-23	5.775e-04	NA
+AAAAAAAAAAAAAGTGTTAAAATAAA	0.166	6.307e-25	1.865e-23	1.292e+00	1.295e-01	2.494e-54	1.212e-23	7.050e-04	NA
+AAAAAAAAAAAAAGTGTTAAAA	0.166	4.614e-25	1.538e-23	1.294e+00	1.294e-01	2.460e-54	1.310e-23	6.768e-04	NA
+AAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCATTGCATGA	0.141	2.170e-65	8.899e-15	4.399e+00	5.671e-01	4.219e-02	4.912e-40	1.102e-02	bfgs-fail
+AAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCA	0.141	2.170e-65	8.899e-15	4.399e+00	5.671e-01	4.219e-02	4.912e-40	1.102e-02	bfgs-fail
+AAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGG	0.141	9.450e-66	7.955e-15	4.592e+00	5.909e-01	1.584e-01	1.595e-39	1.312e-02	bfgs-fail
+AAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACT	0.142	6.232e-66	7.324e-15	4.592e+00	5.902e-01	1.564e-01	1.559e-39	1.301e-02	bfgs-fail
+AAAAAAAAAAAAAGTTCAAAATG	0.142	6.232e-66	7.324e-15	4.592e+00	5.902e-01	1.564e-01	1.559e-39	1.301e-02	bfgs-fail
+AAAAAAAAAAAAAGTTCAAAAT	0.142	2.709e-66	5.153e-15	4.604e+00	5.883e-01	1.562e-01	1.054e-39	1.454e-02	bfgs-fail
+AAAAAAAAAAAAAGTT	0.145	5.469e-64	1.173e-14	3.394e+00	4.395e-01	1.551e-03	1.632e-37	1.334e-02	bfgs-fail
+AAAAAAAAAAAAAGT	0.302	2.900e-82	9.505e-30	1.379e+00	1.218e-01	1.015e-23	9.352e-32	1.672e-03	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCCT	0.253	2.742e-16	3.018e-02	2.513e-01	1.159e-01	2.259e-42	1.149e-27	1.025e-02	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATC	0.253	4.374e-16	3.578e-02	2.430e-01	1.158e-01	1.675e-42	1.323e-27	1.008e-02	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTG	0.253	3.437e-16	3.537e-02	2.436e-01	1.158e-01	1.892e-42	1.317e-27	1.010e-02	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.254	2.699e-16	3.493e-02	2.443e-01	1.158e-01	2.147e-42	1.309e-27	1.012e-02	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.262	8.528e-19	3.151e-04	4.118e-01	1.143e-01	1.598e-40	5.360e-29	1.636e-02	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGA	0.263	6.139e-18	8.619e-04	3.788e-01	1.137e-01	5.267e-41	9.762e-29	1.487e-02	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACG	0.263	6.139e-18	8.619e-04	3.788e-01	1.137e-01	5.267e-41	9.762e-29	1.487e-02	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.264	9.968e-18	9.958e-04	3.737e-01	1.135e-01	4.244e-41	1.081e-28	1.455e-02	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.279	3.649e-15	2.386e-03	3.328e-01	1.096e-01	3.490e-42	1.777e-28	2.473e-02	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCCT	0.025	7.923e-11	2.424e-06	3.403e+00	7.218e-01	2.812e-52	6.422e-27	4.756e-04	bfgs-fail
+AAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATA	0.025	5.698e-11	2.354e-06	3.407e+00	7.217e-01	2.887e-52	7.393e-27	4.703e-04	bfgs-fail
+AAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACG	0.026	4.097e-11	2.214e-06	3.415e+00	7.215e-01	2.816e-52	7.744e-27	4.648e-04	bfgs-fail
+AAAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATATAT	0.012	4.010e-01	6.728e-01	1.541e-01	3.648e-01	2.976e-50	8.783e-27	5.543e-03	bfgs-fail
+AAAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATATA	0.013	4.586e-01	7.535e-01	1.107e-01	3.526e-01	3.023e-50	8.770e-27	5.561e-03	bfgs-fail
+AAAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATAT	0.017	1.949e-01	2.294e-01	3.884e-01	3.232e-01	2.423e-50	9.731e-27	5.736e-03	bfgs-fail
+AAAAAAAAAAAAGCATTTTACTATTTTATATATATATATATAT	0.019	6.324e-02	5.179e-02	6.196e-01	3.186e-01	1.971e-50	1.037e-26	6.270e-03	bfgs-fail
+AAAAAAAAAAAAGCATTTTACTATTTTATATATATAT	0.036	2.765e-03	3.965e-08	1.337e+00	2.432e-01	6.933e-51	4.650e-27	2.304e-02	bfgs-fail
+AAAAAAAAAAAAGCATTTTACTATTTTATATATATA	0.036	2.246e-03	3.176e-08	1.344e+00	2.428e-01	6.863e-51	4.858e-27	2.303e-02	bfgs-fail
+AAAAAAAAAAAAGCATTTTACTATTTTATATATAT	0.038	1.689e-02	4.919e-07	1.151e+00	2.286e-01	6.291e-51	4.285e-27	1.725e-02	bfgs-fail
+AAAAAAAAAAAAGCATTTTACTATTTTATATATA	0.038	1.416e-02	3.903e-07	1.159e+00	2.281e-01	5.935e-51	4.234e-27	1.742e-02	bfgs-fail
+AAAAAAAAAAAAGCATTTTACTATTTTATATAT	0.038	1.184e-02	3.178e-07	1.166e+00	2.278e-01	5.846e-51	4.391e-27	1.748e-02	bfgs-fail
+AAAAAAAAAAAAGCATTTTACTATTTTATATA	0.039	9.873e-03	2.164e-07	1.180e+00	2.273e-01	5.411e-51	4.213e-27	1.772e-02	bfgs-fail
+AAAAAAAAAAAAGCATTTTACTATTTTATA	0.041	1.701e-02	6.065e-07	1.092e+00	2.190e-01	4.963e-51	4.374e-27	1.547e-02	bfgs-fail
+AAAAAAAAAAAAGCATTTTACTATTTTGTATATATATAT	0.030	6.222e-05	3.693e-03	-6.454e-01	2.223e-01	1.371e-49	6.931e-27	6.964e-03	bfgs-fail
+AAAAAAAAAAAAGCATTTTACTATTTTGTATATATATA	0.030	3.824e-05	2.612e-03	-6.665e-01	2.214e-01	1.458e-49	6.893e-27	6.984e-03	bfgs-fail
+AAAAAAAAAAAAGCATTTTACTATTTTGTATATATAT	0.031	1.371e-05	1.231e-03	-7.022e-01	2.173e-01	1.646e-49	6.456e-27	7.006e-03	bfgs-fail
+AAAAAAAAAAAAGCATTTTACTATTTTGTATATATA	0.032	2.179e-05	1.411e-03	-6.901e-01	2.162e-01	1.595e-49	6.202e-27	6.998e-03	bfgs-fail
+AAAAAAAAAAAAGCATTTTACTATTTTGTATAT	0.032	5.266e-05	3.436e-03	-6.241e-01	2.133e-01	1.467e-49	6.614e-27	6.886e-03	bfgs-fail
+AAAAAAAAAAAAGCATTTTACTATTTTG	0.033	3.276e-05	2.494e-03	-6.427e-01	2.125e-01	1.577e-49	6.709e-27	6.922e-03	bfgs-fail
+AAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTTCAACTAAGGAGCTCATATGTTACTGCAAAAAGAACTAATTCCAATGATAGAAGCTAA	0.170	5.037e-25	1.247e-23	1.276e+00	1.273e-01	1.339e-54	9.944e-24	4.452e-04	NA
+AAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTT	0.171	3.688e-25	7.491e-24	1.282e+00	1.273e-01	1.186e-54	9.410e-24	4.168e-04	NA
+AAAAAAAAAAAAGTGTTAAAATAAA	0.172	1.054e-25	8.294e-25	1.308e+00	1.272e-01	9.921e-55	9.270e-24	5.090e-04	NA
+AAAAAAAAAAAAGTGTTAAAA	0.172	7.697e-26	6.811e-25	1.311e+00	1.272e-01	9.776e-55	1.001e-23	4.878e-04	NA
+AAAAAAAAAAAAGTG	0.173	1.590e-25	1.175e-24	1.299e+00	1.267e-01	1.070e-54	1.009e-23	4.895e-04	NA
+AAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCATTGCATGAG	0.147	7.347e-68	2.483e-15	4.502e+00	5.687e-01	2.213e-01	8.510e-39	1.398e-02	bfgs-fail
+AAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCA	0.147	7.347e-68	2.483e-15	4.502e+00	5.687e-01	2.213e-01	8.510e-39	1.398e-02	bfgs-fail
+AAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGG	0.147	3.168e-68	4.988e-15	4.795e+00	6.125e-01	6.360e-01	9.722e-38	1.768e-02	bfgs-fail
+AAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACT	0.148	2.079e-68	4.608e-15	4.794e+00	6.116e-01	6.308e-01	9.357e-38	1.754e-02	bfgs-fail
+AAAAAAAAAAAAGTTCAAAATGCA	0.148	1.364e-68	4.306e-15	4.795e+00	6.111e-01	6.300e-01	9.094e-38	1.780e-02	bfgs-fail
+AAAAAAAAAAAAGTTCAAAATG	0.148	1.364e-68	4.306e-15	4.795e+00	6.111e-01	6.300e-01	9.094e-38	1.780e-02	bfgs-fail
+AAAAAAAAAAAAGTTCAAAAT	0.149	5.868e-69	3.098e-15	4.806e+00	6.092e-01	6.313e-01	6.053e-38	1.984e-02	bfgs-fail
+AAAAAAAAAAAAGTT	0.153	1.293e-66	3.709e-15	3.355e+00	4.266e-01	5.507e-03	6.288e-37	1.660e-02	bfgs-fail
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCCTC	0.307	4.737e-03	6.252e-01	5.208e-02	1.066e-01	8.874e-47	2.083e-25	5.179e-03	NA
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCCT	0.307	4.313e-03	5.843e-01	5.830e-02	1.066e-01	1.043e-46	1.799e-25	5.123e-03	NA
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATC	0.308	4.604e-03	5.949e-01	5.657e-02	1.064e-01	9.467e-47	1.830e-25	5.138e-03	NA
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGT	0.308	5.387e-03	6.423e-01	4.936e-02	1.063e-01	7.549e-47	2.151e-25	5.209e-03	NA
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTG	0.308	4.911e-03	6.394e-01	4.979e-02	1.063e-01	8.087e-47	2.156e-25	5.205e-03	NA
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.309	4.474e-03	6.363e-01	5.027e-02	1.063e-01	8.698e-47	2.159e-25	5.201e-03	NA
+AAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCCTC	0.026	7.983e-09	1.187e-07	2.292e+00	4.323e-01	3.714e-52	5.292e-27	7.219e-04	bfgs-fail
+AAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATA	0.027	5.797e-09	1.115e-07	2.296e+00	4.321e-01	3.793e-52	6.006e-27	7.136e-04	bfgs-fail
+AAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACG	0.027	4.208e-09	9.826e-08	2.304e+00	4.319e-01	3.687e-52	6.252e-27	7.043e-04	bfgs-fail
+AAAAAAAAAAAGAAAGATAGTTTAACCTATGAAAAAATCACTAAAAATTTTTGCTACATCTAAATAGTTTGACCTCTTCGGGGTTGCTTTGGTCGTTGGG	0.066	5.096e-27	1.832e-15	2.712e+00	3.409e-01	7.003e-59	9.408e-32	2.717e-13	bfgs-fail
+AAAAAAAAAAAGAAAG	0.068	1.613e-26	4.647e-15	2.582e+00	3.294e-01	2.754e-58	7.757e-32	7.206e-13	bfgs-fail
+AAAAAAAAAAAGAAA	0.096	8.007e-38	1.215e-01	3.025e-01	1.953e-01	1.438e-49	1.023e-24	1.430e-03	NA
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATATATAT	0.011	8.313e-01	7.011e-01	1.465e-01	3.817e-01	3.094e-50	8.227e-27	5.640e-03	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATATATCATAAGATAAGTTTTTTATAAAGACACGCAAATGAGTATAAATCAGCTAATTTT	0.010	1.105e-05	2.065e-02	3.354e+00	1.449e+00	1.058e-50	2.921e-26	4.735e-03	bad-chisq
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATATAT	0.034	3.749e-01	3.366e-01	2.119e-01	2.205e-01	2.275e-50	1.134e-26	5.480e-03	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATATA	0.035	2.936e-01	2.686e-01	2.392e-01	2.162e-01	2.215e-50	1.283e-26	5.432e-03	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATAT	0.051	8.637e-03	6.725e-04	6.505e-01	1.913e-01	7.329e-51	2.085e-26	7.732e-03	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATA	0.051	6.169e-03	4.778e-04	6.663e-01	1.908e-01	7.040e-51	2.243e-26	7.815e-03	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATAT	0.060	2.808e-04	1.911e-06	8.746e-01	1.836e-01	3.679e-51	2.966e-26	1.280e-02	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATA	0.060	2.307e-04	1.552e-06	8.813e-01	1.834e-01	3.605e-51	3.075e-26	1.297e-02	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATAT	0.069	1.145e-06	3.596e-12	1.268e+00	1.823e-01	1.418e-51	2.458e-26	3.940e-02	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATA	0.070	1.206e-06	2.683e-12	1.265e+00	1.808e-01	1.335e-51	2.371e-26	4.041e-02	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATAT	0.081	2.783e-09	1.022e-19	1.620e+00	1.783e-01	2.426e-51	2.347e-26	2.273e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATA	0.086	1.446e-07	1.433e-17	1.416e+00	1.660e-01	1.162e-51	1.707e-26	1.371e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATTATAAGATAAGTTTTTTATAAAGACACGCAAATGAGTATAAATCAGCTAATTTTTGGTTTA	0.011	2.449e-03	1.136e-01	-6.065e-01	3.833e-01	6.125e-50	8.889e-27	7.133e-03	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATAT	0.098	3.388e-05	4.795e-15	1.161e+00	1.482e-01	6.949e-52	1.220e-26	5.911e-02	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATA	0.100	3.393e-05	4.451e-15	1.151e+00	1.467e-01	6.708e-52	1.345e-26	5.806e-02	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATAT	0.103	3.513e-04	1.080e-13	1.062e+00	1.428e-01	5.697e-52	9.039e-27	4.292e-02	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATA	0.103	4.767e-04	1.821e-13	1.048e+00	1.423e-01	5.684e-52	8.794e-27	4.183e-02	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATAT	0.104	3.478e-04	1.332e-13	1.053e+00	1.421e-01	5.653e-52	9.937e-27	4.189e-02	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATA	0.104	2.965e-04	9.057e-14	1.059e+00	1.420e-01	5.229e-52	9.618e-27	4.239e-02	NA
+AAAAAAAAAAAGCATTTTACTATTTTATAT	0.104	2.525e-04	7.361e-14	1.062e+00	1.419e-01	5.037e-52	9.806e-27	4.250e-02	NA
+AAAAAAAAAAAGCATTTTACTATTTTATA	0.108	5.237e-04	2.913e-13	1.014e+00	1.389e-01	4.409e-52	9.751e-27	3.589e-02	NA
+AAAAAAAAAAAGCATTTTACTATTTTA	0.108	4.490e-04	1.752e-13	1.024e+00	1.389e-01	4.117e-52	9.286e-27	3.785e-02	NA
+AAAAAAAAAAAGCATTTTACTATTTTGTATATATATATATATAT	0.076	2.525e-06	1.508e-04	-5.398e-01	1.424e-01	8.933e-49	1.010e-26	6.291e-03	bfgs-fail
+Done.
diff --git a/test/test6.txt b/test/test6.txt
new file mode 100644
index 0000000..6738e07
--- /dev/null
+++ b/test/test6.txt
@@ -0,0 +1,178 @@
+seer: sequence element enrichment analysis
+Detected binary phenotype
+sequence	maf	unadj_p_val	p_val	beta	se	covar1_p	covar2_p	covar3_p	comments
+AAAAAAAAAAAAAAAAAAAT	0.055	1.379e-02	4.776e-02	1.819e+00	9.189e-01	4.800e-01	9.382e-01	9.666e-01	bad-chisq
+AAAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAA	0.080	6.443e-03	1.346e-02	1.919e+00	7.764e-01	3.663e-01	9.671e-01	7.761e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.080	6.443e-03	1.346e-02	1.919e+00	7.764e-01	3.663e-01	9.671e-01	7.761e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAATGCATATTTATCTTAG	0.080	6.443e-03	1.346e-02	1.919e+00	7.764e-01	3.663e-01	9.671e-01	7.761e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAATGCATATTTATCTT	0.085	3.982e-03	9.981e-03	1.989e+00	7.721e-01	3.645e-01	9.618e-01	8.177e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAATGCATATTTATCT	0.085	3.982e-03	9.981e-03	1.989e+00	7.721e-01	3.645e-01	9.618e-01	8.177e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAATGCATATTTAT	0.085	3.982e-03	9.981e-03	1.989e+00	7.721e-01	3.645e-01	9.618e-01	8.177e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAATGCATAT	0.085	3.982e-03	9.981e-03	1.989e+00	7.721e-01	3.645e-01	9.618e-01	8.177e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAATGCAT	0.085	3.982e-03	9.981e-03	1.989e+00	7.721e-01	3.645e-01	9.618e-01	8.177e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAATGCA	0.085	3.982e-03	9.981e-03	1.989e+00	7.721e-01	3.645e-01	9.618e-01	8.177e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAATG	0.085	3.982e-03	9.981e-03	1.989e+00	7.721e-01	3.645e-01	9.618e-01	8.177e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAAT	0.100	1.784e-02	2.142e-02	1.343e+00	5.840e-01	3.693e-01	9.802e-01	8.779e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAG	0.100	1.784e-02	2.303e-02	1.325e+00	5.830e-01	4.360e-01	9.382e-01	8.409e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.100	1.784e-02	2.303e-02	1.325e+00	5.830e-01	4.360e-01	9.382e-01	8.409e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.100	1.784e-02	2.303e-02	1.325e+00	5.830e-01	4.360e-01	9.382e-01	8.409e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.115	4.668e-03	7.813e-03	1.524e+00	5.730e-01	4.440e-01	8.681e-01	8.570e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAG	0.115	4.668e-03	7.813e-03	1.524e+00	5.730e-01	4.440e-01	8.681e-01	8.570e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCATATTTATCTT	0.120	2.937e-03	5.542e-03	1.581e+00	5.700e-01	4.436e-01	8.702e-01	8.947e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCATATTTATCT	0.120	2.937e-03	5.542e-03	1.581e+00	5.700e-01	4.436e-01	8.702e-01	8.947e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCATATTTAT	0.130	4.631e-03	7.210e-03	1.401e+00	5.215e-01	4.380e-01	8.632e-01	9.925e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCATAT	0.130	4.631e-03	7.210e-03	1.401e+00	5.215e-01	4.380e-01	8.632e-01	9.925e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCAT	0.130	4.631e-03	7.210e-03	1.401e+00	5.215e-01	4.380e-01	8.632e-01	9.925e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATGCA	0.130	4.631e-03	7.210e-03	1.401e+00	5.215e-01	4.380e-01	8.632e-01	9.925e-01	bfgs-fail
+AAAAAAAAAAAAAAAAATG	0.130	4.631e-03	7.210e-03	1.401e+00	5.215e-01	4.380e-01	8.632e-01	9.925e-01	bfgs-fail
+AAAAAAAAAAAAAAAAAT	0.145	1.460e-02	1.692e-02	1.103e+00	4.617e-01	4.254e-01	8.504e-01	9.926e-01	bfgs-fail
+AAAAAAAAAAAAAAAAA	0.175	3.743e-03	5.035e-03	1.214e+00	4.329e-01	4.415e-01	8.548e-01	8.861e-01	bfgs-fail
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGT	0.140	2.869e-01	2.909e-01	4.492e-01	4.253e-01	4.839e-01	8.594e-01	9.716e-01	bfgs-fail
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.140	2.869e-01	2.909e-01	4.492e-01	4.253e-01	4.839e-01	8.594e-01	9.716e-01	bfgs-fail
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.140	2.869e-01	2.909e-01	4.492e-01	4.253e-01	4.839e-01	8.594e-01	9.716e-01	bfgs-fail
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.140	2.869e-01	2.909e-01	4.492e-01	4.253e-01	4.839e-01	8.594e-01	9.716e-01	bfgs-fail
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.155	1.208e-01	1.251e-01	6.365e-01	4.150e-01	4.853e-01	8.472e-01	9.691e-01	bfgs-fail
+AAAAAAAAAAAAAAAATGCATATTTATCTTAG	0.185	3.320e-01	3.402e-01	3.586e-01	3.760e-01	4.944e-01	8.582e-01	9.872e-01	NA
+AAAAAAAAAAAAAAAATGCATATTTATCTT	0.190	2.614e-01	2.693e-01	4.125e-01	3.734e-01	4.941e-01	8.688e-01	9.826e-01	NA
+AAAAAAAAAAAAAAAATGCATATTTATCT	0.190	2.614e-01	2.693e-01	4.125e-01	3.734e-01	4.941e-01	8.688e-01	9.826e-01	NA
+AAAAAAAAAAAAAAAATGCATATTTAT	0.200	2.864e-01	2.939e-01	3.832e-01	3.650e-01	4.914e-01	8.630e-01	9.528e-01	NA
+AAAAAAAAAAAAAAAATGCATAT	0.200	2.864e-01	2.939e-01	3.832e-01	3.650e-01	4.914e-01	8.630e-01	9.528e-01	NA
+AAAAAAAAAAAAAAAATGCAT	0.200	2.864e-01	2.939e-01	3.832e-01	3.650e-01	4.914e-01	8.630e-01	9.528e-01	NA
+AAAAAAAAAAAAAAAATGCA	0.200	2.864e-01	2.939e-01	3.832e-01	3.650e-01	4.914e-01	8.630e-01	9.528e-01	NA
+AAAAAAAAAAAAAAAATG	0.200	2.864e-01	2.939e-01	3.832e-01	3.650e-01	4.914e-01	8.630e-01	9.528e-01	NA
+AAAAAAAAAAAAAAAAT	0.215	4.162e-01	4.195e-01	2.846e-01	3.526e-01	4.865e-01	8.436e-01	9.457e-01	NA
+AAAAAAAAAAAAAAAA	0.250	1.396e-01	1.407e-01	4.992e-01	3.389e-01	4.742e-01	8.688e-01	9.113e-01	NA
+AAAAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTTCAACTAAGGAGCTCATATGTTACTGCAAAAAGAACTAATTCCAATGATAGAAGC	0.065	1.003e-01	1.073e-01	1.090e+00	6.767e-01	4.461e-01	7.806e-01	8.882e-01	bfgs-fail
+AAAAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTT	0.065	1.003e-01	1.073e-01	1.090e+00	6.767e-01	4.461e-01	7.806e-01	8.882e-01	bfgs-fail
+AAAAAAAAAAAAAAAGTGTTAAAATAAA	0.070	6.602e-02	7.803e-02	1.179e+00	6.691e-01	4.705e-01	8.135e-01	9.195e-01	bfgs-fail
+AAAAAAAAAAAAAAAGTGTTAAAA	0.070	6.602e-02	7.803e-02	1.179e+00	6.691e-01	4.705e-01	8.135e-01	9.195e-01	bfgs-fail
+AAAAAAAAAAAAAAAGT	0.075	4.301e-02	5.301e-02	1.284e+00	6.636e-01	4.553e-01	7.770e-01	9.185e-01	bfgs-fail
+AAAAAAAAAAAAAAAG	0.090	4.172e-02	5.147e-02	1.143e+00	5.868e-01	5.056e-01	7.789e-01	9.206e-01	bfgs-fail
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTC	0.185	1.815e-01	1.739e-01	5.194e-01	3.819e-01	4.553e-01	8.548e-01	9.507e-01	bfgs-fail
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATC	0.185	1.815e-01	1.739e-01	5.194e-01	3.819e-01	4.553e-01	8.548e-01	9.507e-01	bfgs-fail
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTG	0.185	1.815e-01	1.739e-01	5.194e-01	3.819e-01	4.553e-01	8.548e-01	9.507e-01	bfgs-fail
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.185	1.815e-01	1.739e-01	5.194e-01	3.819e-01	4.553e-01	8.548e-01	9.507e-01	bfgs-fail
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.190	1.374e-01	1.356e-01	5.656e-01	3.790e-01	4.660e-01	8.608e-01	9.580e-01	bfgs-fail
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGA	0.190	1.374e-01	1.356e-01	5.656e-01	3.790e-01	4.660e-01	8.608e-01	9.580e-01	bfgs-fail
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACG	0.190	1.374e-01	1.356e-01	5.656e-01	3.790e-01	4.660e-01	8.608e-01	9.580e-01	bfgs-fail
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.190	1.374e-01	1.356e-01	5.656e-01	3.790e-01	4.660e-01	8.608e-01	9.580e-01	bfgs-fail
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.210	8.728e-02	8.829e-02	6.240e-01	3.661e-01	4.822e-01	8.481e-01	9.464e-01	NA
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTC	0.020	6.763e-02	2.379e-01	1.982e+00	1.680e+00	6.806e-01	9.106e-01	8.928e-01	bad-chisq
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATA	0.020	6.763e-02	2.379e-01	1.982e+00	1.680e+00	6.806e-01	9.106e-01	8.928e-01	bad-chisq
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACG	0.020	6.763e-02	2.379e-01	1.982e+00	1.680e+00	6.806e-01	9.106e-01	8.928e-01	bad-chisq
+AAAAAAAAAAAAAAA	0.385	1.865e-03	2.396e-03	9.314e-01	3.068e-01	6.072e-01	9.797e-01	9.386e-01	NA
+AAAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTTCAACTAAGGAGCTCATATGTTACTGCAAAAAGAACTAATTCCAATGATAGAAGCT	0.105	2.560e-01	2.732e-01	5.374e-01	4.905e-01	5.197e-01	8.365e-01	8.727e-01	bfgs-fail
+AAAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTT	0.105	2.560e-01	2.732e-01	5.374e-01	4.905e-01	5.197e-01	8.365e-01	8.727e-01	bfgs-fail
+AAAAAAAAAAAAAAGTGTTAAAATAAA	0.110	1.877e-01	2.085e-01	6.109e-01	4.857e-01	5.400e-01	8.626e-01	8.852e-01	bfgs-fail
+AAAAAAAAAAAAAAGTGTTAAAA	0.110	1.877e-01	2.085e-01	6.109e-01	4.857e-01	5.400e-01	8.626e-01	8.852e-01	bfgs-fail
+AAAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCATTGCATG	0.040	5.932e-02	1.118e-01	1.526e+00	9.600e-01	4.105e-01	6.984e-01	9.276e-01	bad-chisq
+AAAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCA	0.040	5.932e-02	1.118e-01	1.526e+00	9.600e-01	4.105e-01	6.984e-01	9.276e-01	bad-chisq
+AAAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGG	0.040	5.932e-02	1.118e-01	1.526e+00	9.600e-01	4.105e-01	6.984e-01	9.276e-01	bad-chisq
+AAAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACT	0.045	3.651e-02	7.759e-02	1.669e+00	9.458e-01	4.055e-01	6.478e-01	9.276e-01	bad-chisq
+AAAAAAAAAAAAAAGTTCAAAATG	0.045	3.651e-02	7.759e-02	1.669e+00	9.458e-01	4.055e-01	6.478e-01	9.276e-01	bad-chisq
+AAAAAAAAAAAAAAGTTCAAAAT	0.045	3.651e-02	7.759e-02	1.669e+00	9.458e-01	4.055e-01	6.478e-01	9.276e-01	bad-chisq
+AAAAAAAAAAAAAAGT	0.165	8.715e-03	1.143e-02	1.102e+00	4.358e-01	5.330e-01	7.826e-01	8.222e-01	bfgs-fail
+AAAAAAAAAAAAAAG	0.185	1.493e-02	1.838e-02	9.497e-01	4.028e-01	5.504e-01	8.143e-01	8.662e-01	NA
+AAAAAAAAAAAAAATGCATATTTATATTAGCAAAA	0.125	1.834e-03	4.234e-03	1.621e+00	5.666e-01	5.379e-01	7.851e-01	8.786e-01	bfgs-fail
+AAAAAAAAAAAAAATGCATATTTATATTAG	0.125	1.834e-03	4.234e-03	1.621e+00	5.666e-01	5.379e-01	7.851e-01	8.786e-01	bfgs-fail
+AAAAAAAAAAAAAATGCATATTTATATTA	0.130	1.137e-03	2.841e-03	1.687e+00	5.654e-01	4.903e-01	7.845e-01	8.269e-01	bfgs-fail
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCC	0.205	3.884e-01	3.532e-01	3.367e-01	3.626e-01	4.493e-01	8.084e-01	9.819e-01	bfgs-fail
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATC	0.205	3.884e-01	3.532e-01	3.367e-01	3.626e-01	4.493e-01	8.084e-01	9.819e-01	bfgs-fail
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTG	0.205	3.884e-01	3.532e-01	3.367e-01	3.626e-01	4.493e-01	8.084e-01	9.819e-01	bfgs-fail
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.205	3.884e-01	3.532e-01	3.367e-01	3.626e-01	4.493e-01	8.084e-01	9.819e-01	bfgs-fail
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.210	3.115e-01	2.878e-01	3.821e-01	3.594e-01	4.520e-01	8.114e-01	9.820e-01	bfgs-fail
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGA	0.210	3.115e-01	2.878e-01	3.821e-01	3.594e-01	4.520e-01	8.114e-01	9.820e-01	bfgs-fail
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACG	0.210	3.115e-01	2.878e-01	3.821e-01	3.594e-01	4.520e-01	8.114e-01	9.820e-01	bfgs-fail
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.210	3.115e-01	2.878e-01	3.821e-01	3.594e-01	4.520e-01	8.114e-01	9.820e-01	bfgs-fail
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.230	2.114e-01	1.970e-01	4.501e-01	3.489e-01	4.571e-01	8.013e-01	9.659e-01	NA
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCC	0.020	6.763e-02	2.379e-01	1.982e+00	1.680e+00	6.806e-01	9.106e-01	8.928e-01	bad-chisq
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATA	0.020	6.763e-02	2.379e-01	1.982e+00	1.680e+00	6.806e-01	9.106e-01	8.928e-01	bad-chisq
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACG	0.020	6.763e-02	2.379e-01	1.982e+00	1.680e+00	6.806e-01	9.106e-01	8.928e-01	bad-chisq
+AAAAAAAAAAAAAATGCA	0.410	1.633e-03	1.796e-03	9.467e-01	3.032e-01	4.803e-01	9.829e-01	8.097e-01	NA
+AAAAAAAAAAAAAAT	0.450	6.645e-03	6.730e-03	8.011e-01	2.956e-01	4.906e-01	8.730e-01	8.226e-01	NA
+AAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTTCAACTAAGGAGCTCATATGTTACTGCAAAAAGAACTAATTCCAATGATAGAAGCTA	0.115	2.951e-01	3.039e-01	4.807e-01	4.676e-01	4.956e-01	8.475e-01	8.782e-01	bfgs-fail
+AAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTT	0.115	2.951e-01	3.039e-01	4.807e-01	4.676e-01	4.956e-01	8.475e-01	8.782e-01	bfgs-fail
+AAAAAAAAAAAAAGTGTTAAAATAAA	0.120	2.207e-01	2.352e-01	5.497e-01	4.631e-01	5.104e-01	8.738e-01	8.892e-01	bfgs-fail
+AAAAAAAAAAAAAGTGTTAAAA	0.120	2.207e-01	2.352e-01	5.497e-01	4.631e-01	5.104e-01	8.738e-01	8.892e-01	bfgs-fail
+AAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCATTGCATGA	0.045	3.651e-02	7.286e-02	1.702e+00	9.489e-01	3.575e-01	6.424e-01	9.279e-01	bad-chisq
+AAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCA	0.045	3.651e-02	7.286e-02	1.702e+00	9.489e-01	3.575e-01	6.424e-01	9.279e-01	bad-chisq
+AAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGG	0.045	3.651e-02	7.286e-02	1.702e+00	9.489e-01	3.575e-01	6.424e-01	9.279e-01	bad-chisq
+AAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACT	0.050	2.246e-02	5.079e-02	1.832e+00	9.377e-01	3.514e-01	5.898e-01	9.280e-01	bad-chisq
+AAAAAAAAAAAAAGTTCAAAATG	0.050	2.246e-02	5.079e-02	1.832e+00	9.377e-01	3.514e-01	5.898e-01	9.280e-01	bad-chisq
+AAAAAAAAAAAAAGTTCAAAAT	0.050	2.246e-02	5.079e-02	1.832e+00	9.377e-01	3.514e-01	5.898e-01	9.280e-01	bad-chisq
+AAAAAAAAAAAAAGTT	0.055	6.589e-02	6.390e-02	1.493e+00	8.058e-01	3.369e-01	6.244e-01	8.821e-01	bfgs-fail
+AAAAAAAAAAAAAGT	0.195	6.759e-03	7.875e-03	1.065e+00	4.007e-01	4.464e-01	7.831e-01	8.237e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCCT	0.245	9.868e-01	9.328e-01	2.821e-02	3.343e-01	4.964e-01	7.845e-01	9.308e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATC	0.245	9.868e-01	9.328e-01	2.821e-02	3.343e-01	4.964e-01	7.845e-01	9.308e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTG	0.245	9.868e-01	9.328e-01	2.821e-02	3.343e-01	4.964e-01	7.845e-01	9.308e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.245	9.868e-01	9.328e-01	2.821e-02	3.343e-01	4.964e-01	7.845e-01	9.308e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.250	8.696e-01	8.247e-01	7.344e-02	3.316e-01	4.904e-01	7.833e-01	9.380e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGA	0.250	8.696e-01	8.247e-01	7.344e-02	3.316e-01	4.904e-01	7.833e-01	9.380e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACG	0.250	8.696e-01	8.247e-01	7.344e-02	3.316e-01	4.904e-01	7.833e-01	9.380e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.250	8.696e-01	8.247e-01	7.344e-02	3.316e-01	4.904e-01	7.833e-01	9.380e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.270	6.773e-01	6.411e-01	1.511e-01	3.241e-01	4.842e-01	7.764e-01	9.519e-01	NA
+AAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCCT	0.020	6.763e-02	2.379e-01	1.982e+00	1.680e+00	6.806e-01	9.106e-01	8.928e-01	bad-chisq
+AAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATA	0.020	6.763e-02	2.379e-01	1.982e+00	1.680e+00	6.806e-01	9.106e-01	8.928e-01	bad-chisq
+AAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACG	0.020	6.763e-02	2.379e-01	1.982e+00	1.680e+00	6.806e-01	9.106e-01	8.928e-01	bad-chisq
+AAAAAAAAAAAAGCATTTTACTATTTTATATATATAT	0.015	6.823e-01	7.220e-01	4.318e-01	1.214e+00	4.796e-01	7.715e-01	9.468e-01	bad-chisq
+AAAAAAAAAAAAGCATTTTACTATTTTATATATATA	0.015	6.823e-01	7.220e-01	4.318e-01	1.214e+00	4.796e-01	7.715e-01	9.468e-01	bad-chisq
+AAAAAAAAAAAAGCATTTTACTATTTTATATATAT	0.020	8.391e-01	9.382e-01	-8.000e-02	1.031e+00	5.114e-01	7.913e-01	9.217e-01	bfgs-fail
+AAAAAAAAAAAAGCATTTTACTATTTTATATATA	0.020	8.391e-01	9.382e-01	-8.000e-02	1.031e+00	5.114e-01	7.913e-01	9.217e-01	bfgs-fail
+AAAAAAAAAAAAGCATTTTACTATTTTATATAT	0.020	8.391e-01	9.382e-01	-8.000e-02	1.031e+00	5.114e-01	7.913e-01	9.217e-01	bfgs-fail
+AAAAAAAAAAAAGCATTTTACTATTTTATATA	0.020	8.391e-01	9.382e-01	-8.000e-02	1.031e+00	5.114e-01	7.913e-01	9.217e-01	bfgs-fail
+AAAAAAAAAAAAGCATTTTACTATTTTATA	0.025	4.947e-01	5.480e-01	-5.599e-01	9.318e-01	5.328e-01	8.223e-01	9.241e-01	bfgs-fail
+AAAAAAAAAAAAGCATTTTACTATTTTGTATATATATAT	0.010	8.864e-01	8.680e-01	-2.372e-01	1.428e+00	5.119e-01	7.799e-01	9.218e-01	bad-chisq
+AAAAAAAAAAAAGCATTTTACTATTTTGTATATATATA	0.010	8.864e-01	8.680e-01	-2.372e-01	1.428e+00	5.119e-01	7.799e-01	9.218e-01	bad-chisq
+AAAAAAAAAAAAGCATTTTACTATTTTGTATATATAT	0.010	8.864e-01	8.680e-01	-2.372e-01	1.428e+00	5.119e-01	7.799e-01	9.218e-01	bad-chisq
+AAAAAAAAAAAAGCATTTTACTATTTTGTATATATA	0.010	8.864e-01	8.680e-01	-2.372e-01	1.428e+00	5.119e-01	7.799e-01	9.218e-01	bad-chisq
+AAAAAAAAAAAAGCATTTTACTATTTTGTATAT	0.010	8.864e-01	8.680e-01	-2.372e-01	1.428e+00	5.119e-01	7.799e-01	9.218e-01	bad-chisq
+AAAAAAAAAAAAGCATTTTACTATTTTG	0.010	8.864e-01	8.680e-01	-2.372e-01	1.428e+00	5.119e-01	7.799e-01	9.218e-01	bad-chisq
+AAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTTCAACTAAGGAGCTCATATGTTACTGCAAAAAGAACTAATTCCAATGATAGAAGCTAA	0.115	2.951e-01	3.039e-01	4.807e-01	4.676e-01	4.956e-01	8.475e-01	8.782e-01	bfgs-fail
+AAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTT	0.115	2.951e-01	3.039e-01	4.807e-01	4.676e-01	4.956e-01	8.475e-01	8.782e-01	bfgs-fail
+AAAAAAAAAAAAGTGTTAAAATAAA	0.120	2.207e-01	2.352e-01	5.497e-01	4.631e-01	5.104e-01	8.738e-01	8.892e-01	bfgs-fail
+AAAAAAAAAAAAGTGTTAAAA	0.120	2.207e-01	2.352e-01	5.497e-01	4.631e-01	5.104e-01	8.738e-01	8.892e-01	bfgs-fail
+AAAAAAAAAAAAGTG	0.120	2.207e-01	2.352e-01	5.497e-01	4.631e-01	5.104e-01	8.738e-01	8.892e-01	bfgs-fail
+AAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCATTGCATGAG	0.050	2.246e-02	5.397e-02	1.801e+00	9.344e-01	3.593e-01	6.842e-01	9.787e-01	bad-chisq
+AAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCA	0.050	2.246e-02	5.397e-02	1.801e+00	9.344e-01	3.593e-01	6.842e-01	9.787e-01	bad-chisq
+AAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGG	0.050	2.246e-02	5.397e-02	1.801e+00	9.344e-01	3.593e-01	6.842e-01	9.787e-01	bad-chisq
+AAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACT	0.055	1.379e-02	3.811e-02	1.919e+00	9.255e-01	3.542e-01	6.309e-01	9.801e-01	bad-chisq
+AAAAAAAAAAAAGTTCAAAATGCA	0.055	1.379e-02	3.811e-02	1.919e+00	9.255e-01	3.542e-01	6.309e-01	9.801e-01	bad-chisq
+AAAAAAAAAAAAGTTCAAAATG	0.055	1.379e-02	3.811e-02	1.919e+00	9.255e-01	3.542e-01	6.309e-01	9.801e-01	bad-chisq
+AAAAAAAAAAAAGTTCAAAAT	0.055	1.379e-02	3.811e-02	1.919e+00	9.255e-01	3.542e-01	6.309e-01	9.801e-01	bad-chisq
+AAAAAAAAAAAAGTT	0.060	4.186e-02	4.602e-02	1.589e+00	7.966e-01	3.347e-01	6.554e-01	9.229e-01	bfgs-fail
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCCTC	0.290	3.637e-01	3.917e-01	-2.700e-01	3.152e-01	5.267e-01	8.373e-01	9.031e-01	NA
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCCT	0.295	4.451e-01	4.785e-01	-2.223e-01	3.136e-01	5.263e-01	8.204e-01	8.992e-01	NA
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATC	0.295	4.451e-01	4.785e-01	-2.223e-01	3.136e-01	5.263e-01	8.204e-01	8.992e-01	NA
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGT	0.295	4.451e-01	4.785e-01	-2.223e-01	3.136e-01	5.263e-01	8.204e-01	8.992e-01	NA
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTG	0.295	4.451e-01	4.785e-01	-2.223e-01	3.136e-01	5.263e-01	8.204e-01	8.992e-01	NA
+AAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.295	4.451e-01	4.785e-01	-2.223e-01	3.136e-01	5.263e-01	8.204e-01	8.992e-01	NA
+AAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCCTC	0.025	2.551e-01	4.089e-01	8.642e-01	1.047e+00	5.698e-01	8.546e-01	9.904e-01	bad-chisq
+AAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATA	0.025	2.551e-01	4.089e-01	8.642e-01	1.047e+00	5.698e-01	8.546e-01	9.904e-01	bad-chisq
+AAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACG	0.025	2.551e-01	4.089e-01	8.642e-01	1.047e+00	5.698e-01	8.546e-01	9.904e-01	bad-chisq
+AAAAAAAAAAAGAAAGATAGTTTAACCTATGAAAAAATCACTAAAAATTTTTGCTACATCTAAATAGTTTGACCTCTTCGGGGTTGCTTTGGTCGTTGGG	0.060	1.197e-01	1.306e-01	-9.544e-01	6.313e-01	4.785e-01	8.458e-01	9.541e-01	bfgs-fail
+AAAAAAAAAAAGAAAG	0.060	1.197e-01	1.306e-01	-9.544e-01	6.313e-01	4.785e-01	8.458e-01	9.541e-01	bfgs-fail
+AAAAAAAAAAAGAAA	0.085	6.398e-03	1.157e-02	-1.493e+00	5.915e-01	5.221e-01	8.265e-01	9.654e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATATATAT	0.010	1.986e-01	4.818e-01	1.350e+00	1.919e+00	5.863e-01	9.079e-01	9.551e-01	bad-chisq
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATATATCATAAGATAAGTTTTTTATAAAGACACGCAAATGAGTATAAATCAGCTAATTTT	0.010	1.986e-01	4.772e-01	1.357e+00	1.909e+00	5.991e-01	7.892e-01	9.846e-01	bad-chisq
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATATAT	0.035	9.076e-01	9.512e-01	4.828e-02	7.884e-01	5.038e-01	7.870e-01	9.317e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATATA	0.035	9.076e-01	9.512e-01	4.828e-02	7.884e-01	5.038e-01	7.870e-01	9.317e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATAT	0.045	4.716e-01	4.706e-01	5.278e-01	7.315e-01	5.102e-01	7.677e-01	9.929e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATA	0.045	4.716e-01	4.706e-01	5.278e-01	7.315e-01	5.102e-01	7.677e-01	9.929e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATAT	0.060	4.021e-01	3.758e-01	5.683e-01	6.417e-01	4.826e-01	7.479e-01	9.837e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATA	0.060	4.021e-01	3.758e-01	5.683e-01	6.417e-01	4.826e-01	7.479e-01	9.837e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATAT	0.080	2.491e-01	2.257e-01	6.864e-01	5.666e-01	4.363e-01	7.834e-01	9.647e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATA	0.080	2.491e-01	2.257e-01	6.864e-01	5.666e-01	4.363e-01	7.834e-01	9.647e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATAT	0.095	8.528e-02	7.112e-02	9.990e-01	5.535e-01	3.602e-01	7.502e-01	8.892e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATA	0.100	1.552e-01	1.338e-01	7.780e-01	5.188e-01	4.012e-01	7.586e-01	9.488e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATTATAAGATAAGTTTTTTATAAAGACACGCAAATGAGTATAAATCAGCTAATTTTTGGTTTA	0.015	5.368e-02	2.295e-01	-2.108e+00	1.755e+00	6.532e-01	8.589e-01	8.506e-01	bad-chisq
+AAAAAAAAAAAGCATTTTACTATTTTATATATATAT	0.115	5.475e-01	4.655e-01	3.394e-01	4.650e-01	4.382e-01	7.633e-01	9.943e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATATA	0.115	5.475e-01	4.655e-01	3.394e-01	4.650e-01	4.382e-01	7.633e-01	9.943e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATAT	0.120	7.264e-01	6.197e-01	2.258e-01	4.550e-01	4.539e-01	7.635e-01	9.715e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATATA	0.120	7.264e-01	6.197e-01	2.258e-01	4.550e-01	4.539e-01	7.635e-01	9.715e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATAT	0.120	7.264e-01	6.197e-01	2.258e-01	4.550e-01	4.539e-01	7.635e-01	9.715e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATATA	0.120	7.264e-01	6.197e-01	2.258e-01	4.550e-01	4.539e-01	7.635e-01	9.715e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATAT	0.120	7.264e-01	6.197e-01	2.258e-01	4.550e-01	4.539e-01	7.635e-01	9.715e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTATA	0.125	9.144e-01	8.209e-01	9.981e-02	4.408e-01	4.836e-01	7.758e-01	9.423e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTA	0.125	9.144e-01	8.209e-01	9.981e-02	4.408e-01	4.836e-01	7.758e-01	9.423e-01	bfgs-fail
+AAAAAAAAAAAGCATTTTACTATTTTGTATATATATATATATAT	0.055	6.589e-02	9.701e-02	1.330e+00	8.013e-01	6.909e-01	7.888e-01	9.626e-01	bfgs-fail
+Done.
diff --git a/test/test7.txt b/test/test7.txt
new file mode 100644
index 0000000..61efc14
--- /dev/null
+++ b/test/test7.txt
@@ -0,0 +1,155 @@
+filter_seer: post filtering of significant kmers
+AAAAAAAAAAAAAAAAAAAT	0.055	1.379e-02	4.776e-02	1.819e+00	9.189e-01	
+AAAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAA	0.080	6.443e-03	1.346e-02	1.919e+00	7.764e-01	
+AAAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.080	6.443e-03	1.346e-02	1.919e+00	7.764e-01	
+AAAAAAAAAAAAAAAAAATGCATATTTATCTTAG	0.080	6.443e-03	1.346e-02	1.919e+00	7.764e-01	
+AAAAAAAAAAAAAAAAAATGCATATTTATCTT	0.085	3.982e-03	9.981e-03	1.989e+00	7.721e-01	
+AAAAAAAAAAAAAAAAAATGCATATTTATCT	0.085	3.982e-03	9.981e-03	1.989e+00	7.721e-01	
+AAAAAAAAAAAAAAAAAATGCATATTTAT	0.085	3.982e-03	9.981e-03	1.989e+00	7.721e-01	
+AAAAAAAAAAAAAAAAAATGCATAT	0.085	3.982e-03	9.981e-03	1.989e+00	7.721e-01	
+AAAAAAAAAAAAAAAAAATGCAT	0.085	3.982e-03	9.981e-03	1.989e+00	7.721e-01	
+AAAAAAAAAAAAAAAAAATGCA	0.085	3.982e-03	9.981e-03	1.989e+00	7.721e-01	
+AAAAAAAAAAAAAAAAAATG	0.085	3.982e-03	9.981e-03	1.989e+00	7.721e-01	
+AAAAAAAAAAAAAAAAAAT	0.100	1.784e-02	2.142e-02	1.343e+00	5.840e-01	
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAG	0.100	1.784e-02	2.303e-02	1.325e+00	5.830e-01	
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.100	1.784e-02	2.303e-02	1.325e+00	5.830e-01	
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.100	1.784e-02	2.303e-02	1.325e+00	5.830e-01	
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.115	4.668e-03	7.813e-03	1.524e+00	5.730e-01	
+AAAAAAAAAAAAAAAAATGCATATTTATCTTAG	0.115	4.668e-03	7.813e-03	1.524e+00	5.730e-01	
+AAAAAAAAAAAAAAAAATGCATATTTATCTT	0.120	2.937e-03	5.542e-03	1.581e+00	5.700e-01	
+AAAAAAAAAAAAAAAAATGCATATTTATCT	0.120	2.937e-03	5.542e-03	1.581e+00	5.700e-01	
+AAAAAAAAAAAAAAAAATGCATATTTAT	0.130	4.631e-03	7.210e-03	1.401e+00	5.215e-01	
+AAAAAAAAAAAAAAAAATGCATAT	0.130	4.631e-03	7.210e-03	1.401e+00	5.215e-01	
+AAAAAAAAAAAAAAAAATGCAT	0.130	4.631e-03	7.210e-03	1.401e+00	5.215e-01	
+AAAAAAAAAAAAAAAAATGCA	0.130	4.631e-03	7.210e-03	1.401e+00	5.215e-01	
+AAAAAAAAAAAAAAAAATG	0.130	4.631e-03	7.210e-03	1.401e+00	5.215e-01	
+AAAAAAAAAAAAAAAAAT	0.145	1.460e-02	1.692e-02	1.103e+00	4.617e-01	
+AAAAAAAAAAAAAAAAA	0.175	3.743e-03	5.035e-03	1.214e+00	4.329e-01	
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGT	0.140	2.869e-01	2.909e-01	4.492e-01	4.253e-01	
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.140	2.869e-01	2.909e-01	4.492e-01	4.253e-01	
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.140	2.869e-01	2.909e-01	4.492e-01	4.253e-01	
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.140	2.869e-01	2.909e-01	4.492e-01	4.253e-01	
+AAAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.155	1.208e-01	1.251e-01	6.365e-01	4.150e-01	
+AAAAAAAAAAAAAAAATGCATATTTATCTTAG	0.185	3.320e-01	3.402e-01	3.586e-01	3.760e-01	
+AAAAAAAAAAAAAAAATGCATATTTATCTT	0.190	2.614e-01	2.693e-01	4.125e-01	3.734e-01	
+AAAAAAAAAAAAAAAATGCATATTTATCT	0.190	2.614e-01	2.693e-01	4.125e-01	3.734e-01	
+AAAAAAAAAAAAAAAATGCATATTTAT	0.200	2.864e-01	2.939e-01	3.832e-01	3.650e-01	
+AAAAAAAAAAAAAAAATGCATAT	0.200	2.864e-01	2.939e-01	3.832e-01	3.650e-01	
+AAAAAAAAAAAAAAAATGCAT	0.200	2.864e-01	2.939e-01	3.832e-01	3.650e-01	
+AAAAAAAAAAAAAAAATGCA	0.200	2.864e-01	2.939e-01	3.832e-01	3.650e-01	
+AAAAAAAAAAAAAAAATG	0.200	2.864e-01	2.939e-01	3.832e-01	3.650e-01	
+AAAAAAAAAAAAAAAAT	0.215	4.162e-01	4.195e-01	2.846e-01	3.526e-01	
+AAAAAAAAAAAAAAAA	0.250	1.396e-01	1.407e-01	4.992e-01	3.389e-01	
+AAAAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTTCAACTAAGGAGCTCATATGTTACTGCAAAAAGAACTAATTCCAATGATAGAAGC	0.065	1.003e-01	1.073e-01	1.090e+00	6.767e-01	
+AAAAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTT	0.065	1.003e-01	1.073e-01	1.090e+00	6.767e-01	
+AAAAAAAAAAAAAAAGTGTTAAAATAAA	0.070	6.602e-02	7.803e-02	1.179e+00	6.691e-01	
+AAAAAAAAAAAAAAAGTGTTAAAA	0.070	6.602e-02	7.803e-02	1.179e+00	6.691e-01	
+AAAAAAAAAAAAAAAGT	0.075	4.301e-02	5.301e-02	1.284e+00	6.636e-01	
+AAAAAAAAAAAAAAAG	0.090	4.172e-02	5.147e-02	1.143e+00	5.868e-01	
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTC	0.185	1.815e-01	1.739e-01	5.194e-01	3.819e-01	
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATC	0.185	1.815e-01	1.739e-01	5.194e-01	3.819e-01	
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTG	0.185	1.815e-01	1.739e-01	5.194e-01	3.819e-01	
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.185	1.815e-01	1.739e-01	5.194e-01	3.819e-01	
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.190	1.374e-01	1.356e-01	5.656e-01	3.790e-01	
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGA	0.190	1.374e-01	1.356e-01	5.656e-01	3.790e-01	
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACG	0.190	1.374e-01	1.356e-01	5.656e-01	3.790e-01	
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.190	1.374e-01	1.356e-01	5.656e-01	3.790e-01	
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.210	8.728e-02	8.829e-02	6.240e-01	3.661e-01	
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTC	0.020	6.763e-02	2.379e-01	1.982e+00	1.680e+00	
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATA	0.020	6.763e-02	2.379e-01	1.982e+00	1.680e+00	
+AAAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACG	0.020	6.763e-02	2.379e-01	1.982e+00	1.680e+00	
+AAAAAAAAAAAAAAA	0.385	1.865e-03	2.396e-03	9.314e-01	3.068e-01	
+AAAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTTCAACTAAGGAGCTCATATGTTACTGCAAAAAGAACTAATTCCAATGATAGAAGCT	0.105	2.560e-01	2.732e-01	5.374e-01	4.905e-01	
+AAAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTT	0.105	2.560e-01	2.732e-01	5.374e-01	4.905e-01	
+AAAAAAAAAAAAAAGTGTTAAAATAAA	0.110	1.877e-01	2.085e-01	6.109e-01	4.857e-01	
+AAAAAAAAAAAAAAGTGTTAAAA	0.110	1.877e-01	2.085e-01	6.109e-01	4.857e-01	
+AAAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCATTGCATG	0.040	5.932e-02	1.118e-01	1.526e+00	9.600e-01	
+AAAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCA	0.040	5.932e-02	1.118e-01	1.526e+00	9.600e-01	
+AAAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGG	0.040	5.932e-02	1.118e-01	1.526e+00	9.600e-01	
+AAAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACT	0.045	3.651e-02	7.759e-02	1.669e+00	9.458e-01	
+AAAAAAAAAAAAAAGTTCAAAATG	0.045	3.651e-02	7.759e-02	1.669e+00	9.458e-01	
+AAAAAAAAAAAAAAGTTCAAAAT	0.045	3.651e-02	7.759e-02	1.669e+00	9.458e-01	
+AAAAAAAAAAAAAAGT	0.165	8.715e-03	1.143e-02	1.102e+00	4.358e-01	
+AAAAAAAAAAAAAAG	0.185	1.493e-02	1.838e-02	9.497e-01	4.028e-01	
+AAAAAAAAAAAAAATGCATATTTATATTAGCAAAA	0.125	1.834e-03	4.234e-03	1.621e+00	5.666e-01	
+AAAAAAAAAAAAAATGCATATTTATATTAG	0.125	1.834e-03	4.234e-03	1.621e+00	5.666e-01	
+AAAAAAAAAAAAAATGCATATTTATATTA	0.130	1.137e-03	2.841e-03	1.687e+00	5.654e-01	
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCC	0.205	3.884e-01	3.532e-01	3.367e-01	3.626e-01	
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATC	0.205	3.884e-01	3.532e-01	3.367e-01	3.626e-01	
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTG	0.205	3.884e-01	3.532e-01	3.367e-01	3.626e-01	
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.205	3.884e-01	3.532e-01	3.367e-01	3.626e-01	
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.210	3.115e-01	2.878e-01	3.821e-01	3.594e-01	
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGA	0.210	3.115e-01	2.878e-01	3.821e-01	3.594e-01	
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAACG	0.210	3.115e-01	2.878e-01	3.821e-01	3.594e-01	
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.210	3.115e-01	2.878e-01	3.821e-01	3.594e-01	
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.230	2.114e-01	1.970e-01	4.501e-01	3.489e-01	
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCC	0.020	6.763e-02	2.379e-01	1.982e+00	1.680e+00	
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATA	0.020	6.763e-02	2.379e-01	1.982e+00	1.680e+00	
+AAAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACG	0.020	6.763e-02	2.379e-01	1.982e+00	1.680e+00	
+AAAAAAAAAAAAAATGCA	0.410	1.633e-03	1.796e-03	9.467e-01	3.032e-01	
+AAAAAAAAAAAAAAT	0.450	6.645e-03	6.730e-03	8.011e-01	2.956e-01	
+AAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTTCAACTAAGGAGCTCATATGTTACTGCAAAAAGAACTAATTCCAATGATAGAAGCTA	0.115	2.951e-01	3.039e-01	4.807e-01	4.676e-01	
+AAAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTT	0.115	2.951e-01	3.039e-01	4.807e-01	4.676e-01	
+AAAAAAAAAAAAAGTGTTAAAATAAA	0.120	2.207e-01	2.352e-01	5.497e-01	4.631e-01	
+AAAAAAAAAAAAAGTGTTAAAA	0.120	2.207e-01	2.352e-01	5.497e-01	4.631e-01	
+AAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCATTGCATGA	0.045	3.651e-02	7.286e-02	1.702e+00	9.489e-01	
+AAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCA	0.045	3.651e-02	7.286e-02	1.702e+00	9.489e-01	
+AAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGG	0.045	3.651e-02	7.286e-02	1.702e+00	9.489e-01	
+AAAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACT	0.050	2.246e-02	5.079e-02	1.832e+00	9.377e-01	
+AAAAAAAAAAAAAGTTCAAAATG	0.050	2.246e-02	5.079e-02	1.832e+00	9.377e-01	
+AAAAAAAAAAAAAGTTCAAAAT	0.050	2.246e-02	5.079e-02	1.832e+00	9.377e-01	
+AAAAAAAAAAAAAGTT	0.055	6.589e-02	6.390e-02	1.493e+00	8.058e-01	
+AAAAAAAAAAAAAGT	0.195	6.759e-03	7.875e-03	1.065e+00	4.007e-01	
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCCT	0.245	9.868e-01	9.328e-01	2.821e-02	3.343e-01	
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATC	0.245	9.868e-01	9.328e-01	2.821e-02	3.343e-01	
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTTTTTG	0.245	9.868e-01	9.328e-01	2.821e-02	3.343e-01	
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGACGATTTAAATCGTCGTTTT	0.245	9.868e-01	9.328e-01	2.821e-02	3.343e-01	
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGAC	0.250	8.696e-01	8.247e-01	7.344e-02	3.316e-01	
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACGA	0.250	8.696e-01	8.247e-01	7.344e-02	3.316e-01	
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAACG	0.250	8.696e-01	8.247e-01	7.344e-02	3.316e-01	
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAAC	0.250	8.696e-01	8.247e-01	7.344e-02	3.316e-01	
+AAAAAAAAAAAAATGCATATTTATCTTAGCAAAA	0.270	6.773e-01	6.411e-01	1.511e-01	3.241e-01	
+AAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCCT	0.020	6.763e-02	2.379e-01	1.982e+00	1.680e+00	
+AAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATA	0.020	6.763e-02	2.379e-01	1.982e+00	1.680e+00	
+AAAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACG	0.020	6.763e-02	2.379e-01	1.982e+00	1.680e+00	
+AAAAAAAAAAAAGCATTTTACTATTTTATATATATAT	0.015	6.823e-01	7.220e-01	4.318e-01	1.214e+00	
+AAAAAAAAAAAAGCATTTTACTATTTTATATATATA	0.015	6.823e-01	7.220e-01	4.318e-01	1.214e+00	
+AAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTTCAACTAAGGAGCTCATATGTTACTGCAAAAAGAACTAATTCCAATGATAGAAGCTAA	0.115	2.951e-01	3.039e-01	4.807e-01	4.676e-01	
+AAAAAAAAAAAAGTGTTAAAATAAAGAATGTAAACGTTTACTT	0.115	2.951e-01	3.039e-01	4.807e-01	4.676e-01	
+AAAAAAAAAAAAGTGTTAAAATAAA	0.120	2.207e-01	2.352e-01	5.497e-01	4.631e-01	
+AAAAAAAAAAAAGTGTTAAAA	0.120	2.207e-01	2.352e-01	5.497e-01	4.631e-01	
+AAAAAAAAAAAAGTG	0.120	2.207e-01	2.352e-01	5.497e-01	4.631e-01	
+AAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCATTGCATGAG	0.050	2.246e-02	5.397e-02	1.801e+00	9.344e-01	
+AAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGGGGTTTCA	0.050	2.246e-02	5.397e-02	1.801e+00	9.344e-01	
+AAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACTGAATAAACTACATATGTTAGAATAAAAACAAGGAAAAAGAAAGG	0.050	2.246e-02	5.397e-02	1.801e+00	9.344e-01	
+AAAAAAAAAAAAGTTCAAAATGCAATAAAAATAATTGACT	0.055	1.379e-02	3.811e-02	1.919e+00	9.255e-01	
+AAAAAAAAAAAAGTTCAAAATGCA	0.055	1.379e-02	3.811e-02	1.919e+00	9.255e-01	
+AAAAAAAAAAAAGTTCAAAATG	0.055	1.379e-02	3.811e-02	1.919e+00	9.255e-01	
+AAAAAAAAAAAAGTTCAAAAT	0.055	1.379e-02	3.811e-02	1.919e+00	9.255e-01	
+AAAAAAAAAAAAGTT	0.060	4.186e-02	4.602e-02	1.589e+00	7.966e-01	
+AAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATATCTGAGGTGTAAGTCCTC	0.025	2.551e-01	4.089e-01	8.642e-01	1.047e+00	
+AAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACGATTTAAATCGTCGTTTTTTTGTAGTACGACGGGCATGTCGTATA	0.025	2.551e-01	4.089e-01	8.642e-01	1.047e+00	
+AAAAAAAAAAAATGCATATTTATCTTAGCAGAACGACG	0.025	2.551e-01	4.089e-01	8.642e-01	1.047e+00	
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATATATAT	0.010	1.986e-01	4.818e-01	1.350e+00	1.919e+00	
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATATATCATAAGATAAGTTTTTTATAAAGACACGCAAATGAGTATAAATCAGCTAATTTT	0.010	1.986e-01	4.772e-01	1.357e+00	1.909e+00	
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATATAT	0.035	9.076e-01	9.512e-01	4.828e-02	7.884e-01	
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATATA	0.035	9.076e-01	9.512e-01	4.828e-02	7.884e-01	
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATAT	0.045	4.716e-01	4.706e-01	5.278e-01	7.315e-01	
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATATA	0.045	4.716e-01	4.706e-01	5.278e-01	7.315e-01	
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATAT	0.060	4.021e-01	3.758e-01	5.683e-01	6.417e-01	
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATATA	0.060	4.021e-01	3.758e-01	5.683e-01	6.417e-01	
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATAT	0.080	2.491e-01	2.257e-01	6.864e-01	5.666e-01	
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATATA	0.080	2.491e-01	2.257e-01	6.864e-01	5.666e-01	
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATAT	0.095	8.528e-02	7.112e-02	9.990e-01	5.535e-01	
+AAAAAAAAAAAGCATTTTACTATTTTATATATATATA	0.100	1.552e-01	1.338e-01	7.780e-01	5.188e-01	
+AAAAAAAAAAAGCATTTTACTATTTTATATATATAT	0.115	5.475e-01	4.655e-01	3.394e-01	4.650e-01	
+AAAAAAAAAAAGCATTTTACTATTTTATATATATA	0.115	5.475e-01	4.655e-01	3.394e-01	4.650e-01	
+AAAAAAAAAAAGCATTTTACTATTTTATATATAT	0.120	7.264e-01	6.197e-01	2.258e-01	4.550e-01	
+AAAAAAAAAAAGCATTTTACTATTTTATATATA	0.120	7.264e-01	6.197e-01	2.258e-01	4.550e-01	
+AAAAAAAAAAAGCATTTTACTATTTTATATAT	0.120	7.264e-01	6.197e-01	2.258e-01	4.550e-01	
+AAAAAAAAAAAGCATTTTACTATTTTATATA	0.120	7.264e-01	6.197e-01	2.258e-01	4.550e-01	
+AAAAAAAAAAAGCATTTTACTATTTTATAT	0.120	7.264e-01	6.197e-01	2.258e-01	4.550e-01	
+AAAAAAAAAAAGCATTTTACTATTTTATA	0.125	9.144e-01	8.209e-01	9.981e-02	4.408e-01	
+AAAAAAAAAAAGCATTTTACTATTTTA	0.125	9.144e-01	8.209e-01	9.981e-02	4.408e-01	
+AAAAAAAAAAAGCATTTTACTATTTTGTATATATATATATATAT	0.055	6.589e-02	9.701e-02	1.330e+00	8.013e-01	
+Done.

-- 
Alioth's /usr/local/bin/git-commit-notice on /srv/git.debian.org/git/debian-med/seer.git



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