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Jon Palmer
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updates to v1.5.2; add score 500 to genemark-ET intron hints
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dockerbuild/Dockerfile-base

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@@ -100,5 +100,5 @@ RUN wget --quiet https://repo.continuum.io/miniconda/Miniconda2-latest-Linux-x86
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COPY pasa_conf.txt /home/linuxbrew/PASApipeline/pasa_conf/conf.txt
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RUN wget https://github.com/nextgenusfs/funannotate/archive/1.5.1.tar.gz && \
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tar -zxvf 1.5.1.tar.gz && rm 1.5.1.tar.gz && mv funannotate-1.5.1 funannotate
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RUN wget https://github.com/nextgenusfs/funannotate/archive/1.5.2.tar.gz && \
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tar -zxvf 1.5.2.tar.gz && rm 1.5.2.tar.gz && mv funannotate-1.5.2 funannotate

funannotate.py

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@@ -237,6 +237,7 @@ def fmtcols(mylist, cols):
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--rna_bam RNA-seq mapped to genome to train Augustus/GeneMark-ET
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--stringtie StringTie GTF result
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--augustus_species Augustus species config. Default: uses species name
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--min_training_models Minimum number of models to train Augustus. Default: 200
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--genemark_mode GeneMark mode. Default: ES [ES,ET]
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--genemark_mod GeneMark ini mod file
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--busco_seed_species Augustus pre-trained species to start BUSCO. Default: anidulans

lib/library.py

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@@ -4180,6 +4180,7 @@ def RunGeneMarkET(command, input, ini, evidence, maxintron, softmask, cpus, tmpd
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with open(evidence, 'rU') as evid:
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for line in evid:
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if '\tintron\t' in line and '\tb2h\t' in line:
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line[5] = 500 # for intron hint score to be 500
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hints.write(line)
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log.info("Running GeneMark-ET on assembly")
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cmd = [command, '--ET', os.path.abspath(hintsfile), '--max_intron', str(maxintron), '--soft_mask', str(softmask), '--cores', str(cpus), '--sequence', contigs]

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