Mercurial > repos > iuc > gemini_lof_sieve
view gemini_lof_sieve.xml @ 6:295814260d95 draft
"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/gemini commit 251c6024b4ff643a63e17fbfe2590998c2bae3a7"
author | iuc |
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date | Fri, 24 Jan 2020 17:32:16 -0500 |
parents | dda378a72430 |
children | 4b5123d51e8c |
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<tool id="gemini_@BINARY@" name="GEMINI @BINARY@" version="@VERSION@"> <description>Filter LoF variants by transcript position and type</description> <macros> <import>gemini_macros.xml</import> <token name="@BINARY@">lof_sieve</token> </macros> <expand macro="requirements" /> <expand macro="stdio" /> <expand macro="version_command" /> <command> <![CDATA[ gemini @BINARY@ '$infile' > '$outfile' ]]> </command> <inputs> <expand macro="infile" /> </inputs> <outputs> <data name="outfile" format="tabular" /> </outputs> <tests> <test> <param name="infile" value="gemini_load_result1.db" ftype="gemini.sqlite" /> <output name="outfile"> <assert_contents> <has_line_matching expression="chrom	start	end	.*highest_impact.*" /> </assert_contents> </output> </test> </tests> <help><![CDATA[ **What it does** *Filter LoF variants by transcript position and type* Not all candidate LoF variants are created equal. For e.g, a nonsense (stop gain) variant impacting the first 5% of a polypeptide is far more likely to be deleterious than one affecting the last 5%. Assuming you’ve annotated your VCF with snpEff v3.0+, the lof_sieve tool reports the fractional position (e.g. 0.05 for the first 5%) of the mutation in the amino acid sequence. In addition, it also reports the predicted function of the transcript so that one can segregate candidate LoF variants that affect protein_coding transcripts from processed RNA, etc. **Example** Output with default settings:: chrom start end ref alt highest_impact aa_change var_trans_pos trans_aa_length var_trans_pct sample genotype gene transcript trans_type chr22 17072346 17072347 C T stop_gain W365* 365 557 0.655296229803 NA19327 C|T CCT8L2 ENST00000359963 protein_coding chr22 17072346 17072347 C T stop_gain W365* 365 557 0.655296229803 NA19375 T|C CCT8L2 ENST00000359963 protein_coding chr22 17129539 17129540 C T splice_donor None None None None NA18964 T|C TPTEP1 ENST00000383140 lincRNA chr22 17129539 17129540 C T splice_donor None None None None NA19675 T|C TPTEP1 ENST00000383140 lincRNA ]]></help> <expand macro="citations"/> </tool>