Mercurial > repos > galaxyp > openms_ptmodel
view PTModel.xml @ 10:b6db68398c9e draft
"planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/openms commit 55a2aeba8bfd8a6910630721de9857dcdfe05d3c"
author | galaxyp |
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date | Tue, 13 Oct 2020 19:58:48 +0000 |
parents | 039029f54c89 |
children | 3e9d04994968 |
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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="PTModel" name="PTModel" version="@TOOL_VERSION@+galaxy@GALAXY_VERSION@" profile="20.05"> <description>Trains a model for the prediction of proteotypic peptides from a training set.</description> <macros> <token name="@EXECUTABLE@">PTModel</token> <import>macros.xml</import> <import>macros_autotest.xml</import> <import>macros_test.xml</import> </macros> <expand macro="requirements"/> <expand macro="stdio"/> <command detect_errors="exit_code"><![CDATA[@QUOTE_FOO@ @EXT_FOO@ #import re ## Preprocessing mkdir in_positive && ln -s '$in_positive' 'in_positive/${re.sub("[^\w\-_]", "_", $in_positive.element_identifier)}.$gxy2omsext($in_positive.ext)' && mkdir in_negative && ln -s '$in_negative' 'in_negative/${re.sub("[^\w\-_]", "_", $in_negative.element_identifier)}.$gxy2omsext($in_negative.ext)' && mkdir out && #if "out_oligo_params_FLAG" in str($OPTIONAL_OUTPUTS).split(',') mkdir out_oligo_params && #end if #if "out_oligo_trainset_FLAG" in str($OPTIONAL_OUTPUTS).split(',') mkdir out_oligo_trainset && #end if ## Main program call set -o pipefail && @EXECUTABLE@ -write_ctd ./ && python3 '$__tool_directory__/fill_ctd.py' '@EXECUTABLE@.ctd' '$args_json' '$hardcoded_json' && @EXECUTABLE@ -ini @EXECUTABLE@.ctd -in_positive 'in_positive/${re.sub("[^\w\-_]", "_", $in_positive.element_identifier)}.$gxy2omsext($in_positive.ext)' -in_negative 'in_negative/${re.sub("[^\w\-_]", "_", $in_negative.element_identifier)}.$gxy2omsext($in_negative.ext)' -out 'out/output.${gxy2omsext("txt")}' #if "out_oligo_params_FLAG" in str($OPTIONAL_OUTPUTS).split(',') -out_oligo_params 'out_oligo_params/output.${gxy2omsext("paramxml")}' #end if #if "out_oligo_trainset_FLAG" in str($OPTIONAL_OUTPUTS).split(',') -out_oligo_trainset 'out_oligo_trainset/output.${gxy2omsext("txt")}' #end if #if len(str($OPTIONAL_OUTPUTS).split(',')) == 0 | tee '$stdout' #end if ## Postprocessing && mv 'out/output.${gxy2omsext("txt")}' '$out' #if "out_oligo_params_FLAG" in str($OPTIONAL_OUTPUTS).split(',') && mv 'out_oligo_params/output.${gxy2omsext("paramxml")}' '$out_oligo_params' #end if #if "out_oligo_trainset_FLAG" in str($OPTIONAL_OUTPUTS).split(',') && mv 'out_oligo_trainset/output.${gxy2omsext("txt")}' '$out_oligo_trainset' #end if #if "ctd_out_FLAG" in $OPTIONAL_OUTPUTS && mv '@EXECUTABLE@.ctd' '$ctd_out' #end if]]></command> <configfiles> <inputs name="args_json" data_style="paths"/> <configfile name="hardcoded_json"><![CDATA[{"log": "log.txt", "threads": "\${GALAXY_SLOTS:-1}", "no_progress": true}]]></configfile> </configfiles> <inputs> <param name="in_positive" argument="-in_positive" type="data" format="idxml" optional="false" label="input file with positive examples" help=" select idxml data sets(s)"/> <param name="in_negative" argument="-in_negative" type="data" format="idxml" optional="false" label="input file with negative examples" help=" select idxml data sets(s)"/> <param name="c" argument="-c" type="float" optional="true" value="1.0" label="the penalty parameter of the svm" help=""/> <param name="svm_type" argument="-svm_type" display="radio" type="select" optional="false" label="the type of the svm (NU_SVC or C_SVC)" help=""> <option value="NU_SVC">NU_SVC</option> <option value="C_SVC" selected="true">C_SVC</option> <expand macro="list_string_san"/> </param> <param name="nu" argument="-nu" type="float" optional="true" min="0.0" max="1.0" value="0.5" label="the nu parameter [0..1] of the svm (for nu-SVR)" help=""/> <param name="kernel_type" argument="-kernel_type" display="radio" type="select" optional="false" label="the kernel type of the svm" help=""> <option value="LINEAR">LINEAR</option> <option value="RBF">RBF</option> <option value="POLY">POLY</option> <option value="OLIGO" selected="true">OLIGO</option> <expand macro="list_string_san"/> </param> <param name="degree" argument="-degree" type="integer" optional="true" min="1" value="1" label="the degree parameter of the kernel function of the svm (POLY kernel)" help=""/> <param name="border_length" argument="-border_length" type="integer" optional="true" min="1" value="22" label="length of the POBK" help=""/> <param name="k_mer_length" argument="-k_mer_length" type="integer" optional="true" min="1" value="1" label="k_mer length of the POBK" help=""/> <param name="sigma" argument="-sigma" type="float" optional="true" value="5.0" label="sigma of the POBK" help=""/> <param name="max_positive_count" argument="-max_positive_count" type="integer" optional="true" min="1" value="1000" label="quantity of positive samples for training (randomly chosen if smaller than available quantity)" help=""/> <param name="max_negative_count" argument="-max_negative_count" type="integer" optional="true" min="1" value="1000" label="quantity of positive samples for training (randomly chosen if smaller than available quantity)" help=""/> <param name="redundant" argument="-redundant" type="boolean" truevalue="true" falsevalue="false" checked="false" label="if the input sets are redundant and the redundant peptides should occur more than once in the training set, this flag has to be set" help=""/> <param name="additive_cv" argument="-additive_cv" type="boolean" truevalue="true" falsevalue="false" checked="false" label="if the step sizes should be interpreted additively (otherwise the actual value is multiplied with the step size to get the new value" help=""/> <section name="cv" title="Parameters for the grid search / cross validation:" help="" expanded="false"> <param name="skip_cv" argument="-cv:skip_cv" type="boolean" truevalue="true" falsevalue="false" checked="false" label="Has to be set if the cv should be skipped and the model should just be trained with the specified parameters" help=""/> <param name="number_of_runs" argument="-cv:number_of_runs" type="integer" optional="true" min="1" value="10" label="number of runs for the CV" help=""/> <param name="number_of_partitions" argument="-cv:number_of_partitions" type="integer" optional="true" min="2" value="10" label="number of CV partitions" help=""/> <param name="degree_start" argument="-cv:degree_start" type="integer" optional="true" min="1" value="1" label="starting point of degree" help=""/> <param name="degree_step_size" argument="-cv:degree_step_size" type="integer" optional="true" value="2" label="step size point of degree" help=""/> <param name="degree_stop" argument="-cv:degree_stop" type="integer" optional="true" value="4" label="stopping point of degree" help=""/> <param name="c_start" argument="-cv:c_start" type="float" optional="true" value="1.0" label="starting point of c" help=""/> <param name="c_step_size" argument="-cv:c_step_size" type="float" optional="true" value="100.0" label="step size of c" help=""/> <param name="c_stop" argument="-cv:c_stop" type="float" optional="true" value="1000.0" label="stopping point of c" help=""/> <param name="nu_start" argument="-cv:nu_start" type="float" optional="true" min="0.0" max="1.0" value="0.1" label="starting point of nu" help=""/> <param name="nu_step_size" argument="-cv:nu_step_size" type="float" optional="true" value="1.3" label="step size of nu" help=""/> <param name="nu_stop" argument="-cv:nu_stop" type="float" optional="true" min="0.0" max="1.0" value="0.9" label="stopping point of nu" help=""/> <param name="sigma_start" argument="-cv:sigma_start" type="float" optional="true" value="1.0" label="starting point of sigma" help=""/> <param name="sigma_step_size" argument="-cv:sigma_step_size" type="float" optional="true" value="1.3" label="step size of sigma" help=""/> <param name="sigma_stop" argument="-cv:sigma_stop" type="float" optional="true" value="15.0" label="stopping point of sigma" help=""/> </section> <expand macro="adv_opts_macro"> <param name="force" argument="-force" type="boolean" truevalue="true" falsevalue="false" checked="false" label="Overrides tool-specific checks" help=""/> <param name="test" argument="-test" type="hidden" optional="true" value="False" label="Enables the test mode (needed for internal use only)" help=""> <expand macro="list_string_san"/> </param> </expand> <param name="OPTIONAL_OUTPUTS" type="select" optional="true" multiple="true" label="Optional outputs"> <option value="out_oligo_params_FLAG">out_oligo_params (output file with additional model parameters when using the OLIGO kernel)</option> <option value="out_oligo_trainset_FLAG">out_oligo_trainset (output file with the used training dataset when using the OLIGO kernel)</option> <option value="ctd_out_FLAG">Output used ctd (ini) configuration file</option> </param> </inputs> <outputs> <data name="out" label="${tool.name} on ${on_string}: out" format="txt"/> <data name="out_oligo_params" label="${tool.name} on ${on_string}: out_oligo_params" format="paramxml"> <filter>OPTIONAL_OUTPUTS is not None and "out_oligo_params_FLAG" in OPTIONAL_OUTPUTS</filter> </data> <data name="out_oligo_trainset" label="${tool.name} on ${on_string}: out_oligo_trainset" format="txt"> <filter>OPTIONAL_OUTPUTS is not None and "out_oligo_trainset_FLAG" in OPTIONAL_OUTPUTS</filter> </data> <data name="ctd_out" format="xml" label="${tool.name} on ${on_string}: ctd"> <filter>OPTIONAL_OUTPUTS is not None and "ctd_out_FLAG" in OPTIONAL_OUTPUTS</filter> </data> </outputs> <tests> <expand macro="autotest_PTModel"/> <expand macro="manutest_PTModel"/> </tests> <help><![CDATA[Trains a model for the prediction of proteotypic peptides from a training set. For more information, visit http://www.openms.de/doxygen/release/2.6.0/html/TOPP_PTModel.html]]></help> <expand macro="references"/> </tool>