Mercurial > repos > galaxyp > encyclopedia_walnut
diff encyclopedia_walnut.xml @ 0:ce1a157a41bd draft
"planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/encyclopedia/tools/encyclopedia commit d94002fc79f552c8a64ffca86298396b1568df97"
author | galaxyp |
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date | Mon, 14 Sep 2020 17:06:23 +0000 |
parents | |
children | d6a4dfdad269 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/encyclopedia_walnut.xml Mon Sep 14 17:06:23 2020 +0000 @@ -0,0 +1,113 @@ +<tool id="encyclopedia_walnut" name="Walnut" version="@VERSION@.0"> + <description>PeCAn-based Peptide Detection Directly from Data-Independent Acquisition (DIA) MS/MS Data</description> + <macros> + <import>macros.xml</import> + </macros> + <expand macro="requirements" /> + <command detect_errors="aggressive"><![CDATA[ + @CMD_IMPORTS@ + @LINK_SCAN_INPUT@ + @LINK_FASTA_INPUT@ + @LINK_TARGET_FASTA@ + EncyclopeDIA -Djava.awt.headless=true -Duser.language=en-US -Duser.region=US + -Xmx\$[ \${GALAXY_MEMORY_MB:-20480} / 1024 ]g -walnut + -numberOfThreadsUsed "\${GALAXY_SLOTS:-4}" + @SCAN_INPUT@ + @FASTA_INPUT@ + @TARGET_FASTA@ + @COMMON_OPTIONS@ + @MASS_LIBRARY_TOLERANCE@ + @PERCOLATOR_OPTIONS@ + @PEAK_OPTIONS@ + @WINDOW_OPTIONS@ + @MODIFICATION_OPTIONS@ + @SEARCH_OPTIONS@ + -o gxpedia + ]]></command> + <inputs> + <expand macro="scan_input"/> + <expand macro="fasta_input"/> + <expand macro="target_fasta"/> + <expand macro="options_section"/> + <param name="select_outputs" type="select" label="Select outputs" multiple="true"> + <option value="log" selected="true">log</option> + <option value="elib" selected="true">elib</option> + <option value="features" selected="false">features.txt</option> + <option value="pecan" selected="true">pecan.txt</option> + <option value="pecan_decoy" selected="false">pecan.decoy.txt</option> + </param> + </inputs> + <outputs> + <data name="log" format="txt" label="${tool.name} ${on_string} log" from_work_dir="gxpedia.log"> + <filter>'log' in select_outputs</filter> + </data> + <data name="elib" format="elib" label="${tool.name} ${on_string} elib" from_work_dir="gxpedia.elib"> + <filter>'elib' in select_outputs</filter> + </data> + <data name="features" format="tabular" label="${tool.name} ${on_string} features.txt" from_work_dir="gxpedia.features.txt"> + <filter>'features' in select_outputs</filter> + <actions> + <action name="column_names" type="metadata" default="id,TD,ScanNr,topN,rank,peakZScore,peakCalibratedScore,deltaSn,avgIdotp,midIdotp,peakScore,peakWeightedScore,NCI,CIMassErrMean,CIMassErrVar,precursorMassErrMean,precursorMassErrVar,peakSimilarity,sampledTimes,midTime,spectraNorm,pepLength,charge2,charge3,precursorMz,sequence,protein" /> + </actions> + </data> + <data name="pecan" format="tabular" label="${tool.name} ${on_string} pecan.txt" from_work_dir="gxpedia.pecan.txt"> + <filter>'pecan' in select_outputs</filter> + <actions> + <action name="column_names" type="metadata" default="PSMId,score,q-value,posterior_error_prob,peptide,proteinIds" /> + </actions> + </data> + <data name="pecan_decoy" format="tabular" label="${tool.name} ${on_string} pecan.decoy.txt" from_work_dir="gxpedia.pecan.decoy.txt"> + <filter>'pecan_decoy' in select_outputs</filter> + <actions> + <action name="column_names" type="metadata" default="PSMId,score,q-value,posterior_error_prob,peptide,proteinIds" /> + </actions> + </data> + </outputs> + <tests> + <test> + <param name="scan_input" ftype="mzml" value="BCS_hela_narrow_3_1.mzML"/> + <param name="fasta" ftype="fasta" value="uniprot_tiny_human.fasta"/> + <param name="select_outputs" value="log,features,pecan"/> + <output name="features" ftype="tabular"> + <assert_contents> + <has_text text="LHYNEGLNIK"/> + </assert_contents> + </output> + </test> + </tests> + <help><![CDATA[ +**Walnut** + +@ENCYCLOPEDIA_WIKI@ + +Walnut is a FASTA database search engine for Data-Independent Acquisition (DIA) MS/MS data. +Walnut uses PeCAn-style scoring to extract peptide fragmentation chromatograms from MZML files, assign peaks, and calculate various peak features. These features are interpreted by Percolator to identify peptides. + + + +**Inputs** + + - A spectrum file in mzML format + - A protein data base in fasta format + +@MSCONVERT_HELP@ + +**Outputs** + + - A log file + - A Chromatogram Library (.elib) + - The identified features in tabular format + Feature values of scans that are used by percolator to determine matches. + - The identified Peptide Spectral Match results in tabular format + Columns: PSMId, score, q-value, posterior_error_prob, peptide, proteinIds + - The identified peptides in tabular format + Per peptide: the normalized intensity for each scan file. + Columns: Peptide, Protein, numFragments, intensity_in_file1, intensity_in_file2, ... + - The identified proteins in tabular format + Per protein: the normalized intensity for each scan file. + Columns: Protein, NumPeptides, PeptideSequences, intensity_in_file1, intensity_in_file2, ... + + + ]]></help> + <expand macro="citations" /> +</tool>