Mercurial > repos > galaxyp > openms
diff IDPosteriorErrorProbability.xml @ 0:3070d71e0e5c draft
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author | bgruening |
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date | Thu, 16 Apr 2015 08:37:04 -0400 |
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--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/IDPosteriorErrorProbability.xml Thu Apr 16 08:37:04 2015 -0400 @@ -0,0 +1,85 @@ +<?xml version='1.0' encoding='UTF-8'?> +<tool id="IDPosteriorErrorProbability" name="IDPosteriorErrorProbability" version="2.0.0"> + <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="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 +-threads \${GALAXY_SLOTS:-24} +#if $adv_opts.adv_opts_selector=='advanced': + #if $adv_opts.param_smallest_e_value: + -smallest_e_value $adv_opts.param_smallest_e_value +#end if + #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 $adv_opts.param_fit_algorithm_incorrectly_assigned: + -fit_algorithm:incorrectly_assigned + #if " " in str($adv_opts.param_fit_algorithm_incorrectly_assigned): + "$adv_opts.param_fit_algorithm_incorrectly_assigned" + #else + $adv_opts.param_fit_algorithm_incorrectly_assigned + #end if +#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" 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" 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" 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" 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_smallest_e_value" type="float" value="1e-19" label="This value gives a lower bound to E-Values" help="(-smallest_e_value) It should not be 0, as transformation in a real number (log of E-value) is not possible for certain values then"/> + <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" 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" type="select" optional="True" 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">Gumbel</option> + <option value="Gauss">Gauss</option> + </param> + </expand> + </inputs> + <outputs> + <data name="param_out" format="idxml"/> + <data name="param_out_plot" format="txt"/> + </outputs> + <help>**What it does** + +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> + <expand macro="references"/> +</tool>