Mercurial > repos > bornea > saint_protein_interactions
view ProteinInteractions.xml @ 9:dd0b4c901d0a draft
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author | bornea |
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date | Wed, 23 Mar 2016 11:15:44 -0400 |
parents | 830112c59150 |
children | c414a56f5874 |
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<tool id="SAINT_ProteinInteractions" name="SAINT Output to Protein Interaction File"> <description></description> <command interpreter="python">ProteinInteractions.py $input $saint_cutoff $CPDB_cutoff $species $Cytoscape_File \$INSTALL_RUN_PATH/</command> <requirements> <requirement type="set_environment">INSTALL_RUN_PATH</requirement> </requirements> <inputs> <param format="txt" name="input" type="data" label="SAINT Output"/> <param type="float" name="saint_cutoff" label="Saint Score Cutoff" value="0.8"/> <param type="float" name="CPDB_cutoff" label="Consensus Path Database Score Cutoff" value="0.8"/> <param type="select" name="species" label="Species"> <option value="Human">Human</option> <option value="Yeast">Yeast</option> <option value="Mouse">Mouse</option> </param> </inputs> <outputs> <data format="sif" name="Cytoscape_File" label="Cytoscape File"/> </outputs> <stdio> <regex match="Error|error" source="stdout" level="fatal" description="Unknown error"/> <regex match="Error|error" source="stderr" level="fatal" description="Unknown error"/> <regex match="Error: bad bait" source="stdout" level="fatal" description="Error: bad bait"/> </stdio> <tests> <test> <param name="input" value="fa_gc_content_input.fa"/> <output name="out_file1" file="fa_gc_content_output.txt"/> </test> </tests> <help> **Protein Interactions** This program will read in a SAINT 'list.txt' file and the interactions from ConsensusPathDB ( http://consensuspathdb.org/ ) and return all the interactions that we saw in our experiment in a format suitable for cytoscape. This allows us to filter before getting protein-protein interactions (PPI's) so that it doesn't affect our SAINT score or include interactions that don't score well. INPUT SAINT Output: SAINTexpress output. SAINT Score Cutoff: Saint score cutoff for import (between 0 and 1). Consensus Path Database Score Cutoff: Confidence of PPI from CPDB to include (between 0 and 1). * low: no filtering * medium: >0.5 * high: >0.7 * very high: >0.9 Species: Human, Yeast, or Mouse. </help> </tool>