Mercurial > repos > galaxyp > openms_idposteriorerrorprobability
diff IDPosteriorErrorProbability.xml @ 0:377d4fcad44e draft
planemo upload for repository https://github.com/galaxyproteomics/tools-galaxyp/tree/master/tools/openms commit fb85d488133bb2b5f483b52b2db0ac66038fafb8
author | galaxyp |
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date | Wed, 01 Mar 2017 12:44:11 -0500 |
parents | |
children | e3c7e3d5a171 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/IDPosteriorErrorProbability.xml Wed Mar 01 12:44:11 2017 -0500 @@ -0,0 +1,79 @@ +<?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 CTD2Galaxy.--> +<!--Proposed Tool Section: [ID Processing]--> +<tool id="IDPosteriorErrorProbability" name="IDPosteriorErrorProbability" version="2.1.0"> + <description>Estimates probabilities for incorrectly assigned peptide sequences and a set of search engine scores using a mixture model.</description> + <macros> + <token name="@EXECUTABLE@">IDPosteriorErrorProbability</token> + <import>macros.xml</import> + </macros> + <expand macro="references"/> + <expand macro="stdio"/> + <expand macro="requirements"/> + <command>IDPosteriorErrorProbability + +#if $param_in: + -in $param_in +#end if +#if $param_out: + -out $param_out +#end if +#if $param_out_plot: + -out_plot $param_out_plot +#end if +#if $param_split_charge: + -split_charge +#end if +#if $param_top_hits_only: + -top_hits_only +#end if +#if $param_ignore_bad_data: + -ignore_bad_data +#end if +#if $param_prob_correct: + -prob_correct +#end if +#if $adv_opts.adv_opts_selector=='advanced': + #if $adv_opts.param_fdr_for_targets_smaller: + -fdr_for_targets_smaller $adv_opts.param_fdr_for_targets_smaller +#end if + #if $adv_opts.param_force: + -force +#end if + #if $adv_opts.param_fit_algorithm_number_of_bins: + -fit_algorithm:number_of_bins $adv_opts.param_fit_algorithm_number_of_bins +#end if + #if $adv_opts.param_fit_algorithm_incorrectly_assigned: + -fit_algorithm:incorrectly_assigned $adv_opts.param_fit_algorithm_incorrectly_assigned +#end if + #if $adv_opts.param_fit_algorithm_max_nr_iterations: + -fit_algorithm:max_nr_iterations $adv_opts.param_fit_algorithm_max_nr_iterations +#end if +#end if +</command> + <inputs> + <param name="param_in" type="data" format="idxml" optional="False" label="input file" help="(-in) "/> + <param name="param_split_charge" display="radio" type="boolean" truevalue="-split_charge" falsevalue="" checked="false" optional="True" label="The search engine scores are split by charge if this flag is set" help="(-split_charge) Thus, for each charge state a new model will be computed"/> + <param name="param_top_hits_only" display="radio" type="boolean" truevalue="-top_hits_only" falsevalue="" checked="false" optional="True" label="If set only the top hits of every PeptideIdentification will be used" help="(-top_hits_only) "/> + <param name="param_ignore_bad_data" display="radio" type="boolean" truevalue="-ignore_bad_data" falsevalue="" checked="false" optional="True" label="If set errors will be written but ignored" help="(-ignore_bad_data) Useful for pipelines with many datasets where only a few are bad, but the pipeline should run through"/> + <param name="param_prob_correct" display="radio" type="boolean" truevalue="-prob_correct" falsevalue="" checked="false" optional="True" label="If set scores will be calculated as '1 - ErrorProbabilities' and can be interpreted as probabilities for correct identifications" help="(-prob_correct) "/> + <expand macro="advanced_options"> + <param name="param_fdr_for_targets_smaller" type="float" value="0.05" label="Only used, when top_hits_only set" help="(-fdr_for_targets_smaller) Additionally, target/decoy information should be available. The score_type must be q-value from an previous False Discovery Rate run"/> + <param name="param_force" display="radio" type="boolean" truevalue="-force" falsevalue="" checked="false" optional="True" label="Overwrite tool specific checks" help="(-force) "/> + <param name="param_fit_algorithm_number_of_bins" type="integer" value="100" label="Number of bins used for visualization" help="(-number_of_bins) Only needed if each iteration step of the EM-Algorithm will be visualized"/> + <param name="param_fit_algorithm_incorrectly_assigned" display="radio" type="select" optional="False" value="Gumbel" label="for 'Gumbel', the Gumbel distribution is used to plot incorrectly assigned sequences" help="(-incorrectly_assigned) For 'Gauss', the Gauss distribution is used"> + <option value="Gumbel" selected="true">Gumbel</option> + <option value="Gauss">Gauss</option> + </param> + <param name="param_fit_algorithm_max_nr_iterations" type="integer" value="1000" label="Bounds the number of iterations for the EM algorithm when convergence is slow" help="(-max_nr_iterations) "/> + </expand> + </inputs> + <outputs> + <data name="param_out" format="idxml"/> + <data name="param_out_plot" format="txt"/> + </outputs> + <help>Estimates probabilities for incorrectly assigned peptide sequences and a set of search engine scores using a mixture model. + + +For more information, visit http://ftp.mi.fu-berlin.de/OpenMS/release-documentation/html/TOPP_IDPosteriorErrorProbability.html</help> +</tool>