[med-svn] [Git][med-team/mcaller][upstream] New upstream version 1.0.3+git20210624.b415090

[Steffen Möller (@moeller)]

Steffen Möller pushed to branch upstream at Debian Med / mcaller


Commits:
7e634fc7 by Steffen Moeller at 2021-10-01T14:25:15+02:00
New upstream version 1.0.3+git20210624.b415090
- - - - -


3 changed files:

- + CAAYNNNNNRTAC_model_6_m6A.pkl
- + CRAANNNNNNNTGC_model_6_m6A.pkl
- README.md


Changes:

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CAAYNNNNNRTAC_model_6_m6A.pkl
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CRAANNNNNNNTGC_model_6_m6A.pkl
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README.md
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@@ -147,6 +147,10 @@ Reference fasta, PacBio calls for m6A and a subset of A positions, and eventalig
 
   This will generate the output file model_NN_6_m6A.pkl. 
   
-  ## Results with the latest model 
+  ## Results with the R9.5 model 
   ![latest results](motifs_plot.png)
   Unsurprisingly, mCaller performs best at identifying motifs similar to those it's trained on (here, E. coli). This is a clear limitation to the method, but the results are still sufficient in many cases to verify a motif of interest. 
+
+## Models provided
+- R9.4 and R9.5 models trained on E. coli data, both basecalled with albacore, as published in https://www.nature.com/articles/s41467-019-08289-9
+- R9.4 models trained on motifs “CAAYNNNNNRTAC/GTAYNNNNNRTTG” and “CRAANNNNNNNTGC/GCANNNNNNNTTYG”, respectively, basecalled with Guppy-v4.5.2, generously provided by [@wshropshire](https://github.com/wshropshire)



View it on GitLab: https://salsa.debian.org/med-team/mcaller/-/commit/7e634fc70749188f2735f7d715adf45ff870377c

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View it on GitLab: https://salsa.debian.org/med-team/mcaller/-/commit/7e634fc70749188f2735f7d715adf45ff870377c
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