Mercurial > repos > galaxyp > openms_ptpredict
view PTPredict.xml @ 8:177b8ee29512 draft default tip
planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/openms commit f608f41d45664d04d3124c6ebc791bf8a566b3c5-dirty
author | galaxyp |
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date | Fri, 17 May 2019 09:22:27 -0400 |
parents | 5d6dbdc0d585 |
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<?xml version='1.0' encoding='UTF-8'?> <!--This is a configuration file for the integration of a tools into Galaxy (https://galaxyproject.org/). This file was automatically generated using CTDConverter.--> <!--Proposed Tool Section: [Peptide property prediction]--> <tool id="PTPredict" name="PTPredict" version="2.3.0"> <description>predicts the likelihood of peptides to be proteotypic via svm_model which is trained by PTModel</description> <macros> <token name="@EXECUTABLE@">PTPredict</token> <import>macros.xml</import> </macros> <expand macro="references"/> <expand macro="stdio"/> <expand macro="requirements"/> <command detect_errors="aggressive"><![CDATA[PTPredict #if $param_in: -in $param_in #end if #if $param_out: -out $param_out #end if #if $param_svm_model: -svm_model $param_svm_model #end if #if $param_max_number_of_peptides: -max_number_of_peptides $param_max_number_of_peptides #end if #if $adv_opts.adv_opts_selector=='advanced': #if $adv_opts.param_force: -force #end if #end if ]]></command> <inputs> <param name="param_in" type="data" format="idxml" optional="False" label="input file" help="(-in) "/> <param name="param_svm_model" type="data" format="txt" optional="False" label="svm model in libsvm format (can be produced by PTModel)" help="(-svm_model) "/> <param name="param_max_number_of_peptides" type="integer" value="100000" label="the maximum number of peptides considered at once (bigger number will lead to faster results but needs more memory)" help="(-max_number_of_peptides) <br>"/> <expand macro="advanced_options"> <param name="param_force" display="radio" type="boolean" truevalue="-force" falsevalue="" checked="false" optional="True" label="Overwrite tool specific checks" help="(-force) "/> </expand> </inputs> <outputs> <data name="param_out" format="idxml"/> </outputs> <help>predicts the likelihood of peptides to be proteotypic via svm_model which is trained by PTModel For more information, visit https://abibuilder.informatik.uni-tuebingen.de/archive/openms/Documentation/release/2.3.0/html/TOPP_PTPredict.html</help> </tool>