Mercurial > repos > iracooke > tpp_prophets
diff peptide_prophet.xml @ 2:25261529840c
Uploaded
author | iracooke |
---|---|
date | Mon, 04 Mar 2013 17:11:46 -0500 |
parents | |
children | 3f0cb90824f1 |
line wrap: on
line diff
--- /dev/null Thu Jan 01 00:00:00 1970 +0000 +++ b/peptide_prophet.xml Mon Mar 04 17:11:46 2013 -0500 @@ -0,0 +1,83 @@ +<tool id="proteomics_search_peptide_prophet_1" name="Peptide Prophet" version="1.0.0"> + <requirements> + <requirement type="package" version="1.1.9">galaxy_protk</requirement> + <requirement type="package" version="4.6.1">trans_proteomic_pipeline</requirement> + </requirements> + + <description>Calculate Peptide Prophet statistics on search results</description> + + <command interpreter="ruby">peptide_prophet_wrapper.rb ${output} ${input_file} -r $glyco $useicat $phospho $usepi $usert $accurate_mass $no_ntt $no_nmc $use_gamma $use_only_expect $force_fit $allow_alt_instruments $maldi + </command> + + <inputs> + + <param name="input_file" type="data" format="raw_pepxml" multiple="false" label="Raw Search Results" help="These files will typically be outputs from omssa or xtandem search tools"/> + + <param name="glyco" type="boolean" label="Expect true positives to have a glycocapture motif" truevalue="--glyco" falsevalue=""/> + <param name="useicat" type="boolean" label="Use icat information" truevalue="--useicat" falsevalue="--no-useicat"/> + <param name="phospho" type="boolean" label="Use phospho information" truevalue="--phospho" falsevalue=""/> + <param name="usepi" type="boolean" label="Use pI information" truevalue="--usepi" falsevalue=""/> + <param name="usert" type="boolean" label="Use hydrophobicity / RT information" truevalue="--usert" falsevalue=""/> + <param name="accurate_mass" type="boolean" label="Use accurate mass binning" truevalue="--accurate-mass" falsevalue=""/> + <param name="no_ntt" type="boolean" label="Don't use NTT model" truevalue="--no-ntt" falsevalue=""/> + <param name="no_nmc" type="boolean" label="Don't use NMC model" truevalue="--no-nmc" falsevalue=""/> + <param name="use_gamma" type="boolean" label="Use Gamma distribution to model the negatives" help="Applies only to X!Tandem results" truevalue="--usegamma" falsevalue=""/> + <param name="use_only_expect" type="boolean" label="Only use Expect Score as the discriminant" help="Applies only to X!Tandem results. + Helpful for data with homologous top hits e.g. phospho or glyco" truevalue="--use-only-expect" falsevalue=""/> + <param name="force_fit" type="boolean" label="Force fitting" help="Bypasses automatic mixture model checks and forces fitting of a mixture model" truevalue="--force-fit" falsevalue=""/> + <param name="allow_alt_instruments" type="boolean" label="Allow multiple instrument types" help="Warning instead of exit with error if instrument types between runs is different" truevalue="--allow-alt-instruments" falsevalue=""/> + <param name="maldi" type="boolean" label="Maldi data" truevalue="-l" falsevalue=""/> + + + </inputs> + <outputs> + <data format="peptideprophet_pepxml" name="output" metadata_source="input_file" label="peptide_prophet.${input_file.display_name}.pep.xml" from_work_dir="peptide_prophet_output.pep.xml"/> + </outputs> + +<help> + +**What it does** + +Given raw search engine scores as inputs this tool estimates the accuracy of peptide assignments. From a practical perspective it estimates the probability that each peptide assignment is correct (providing probabilities as outputs), given raw scores (possibly on some arbitrary scale) as inputs. + +---- + +**Citation** + +If you use this tool please read and cite the paper describing the statistical model implemented by Peptide Prophet + +Keller A., et al. “Empirical Statistical Model to Estimate the Accuracy of Peptide Identifications Made by MS/MS and Database Search” *Anal. Chem.* 74, 5383-5392 (2002). + + +</help> + + +<!--PeptideProphet options [following the 'O']: + i [use icat information in PeptideProphet] + f [do not use icat information in PeptideProphet] + g [use N-glyc motif information in PeptideProphet] + H [use Phospho information in PeptideProphet] + m [maldi data] + I [use pI information in PeptideProphet] + R [use Hydrophobicity / RT information in PeptideProphet] + F [force the fitting of the mixture model, bypass automatic mixture model checks] + A [use accurate mass binning in PeptideProphet] + w [warning instead of exit with error if instrument types between runs is different] + x [exclude all entries with asterisked score values in PeptideProphet] + l [leave alone all entries with asterisked score values in PeptideProphet] + n [use hardcoded default initialization parameters of the distributions] + P [use Non-parametric model, can only be used with decoy option] + N [do not use the NTT model] + M [do not use the NMC model] + G [use Gamma Distribution to model the Negatives (applies only to X!Tandem data)] + E [only use Expect Score as the Discriminant(applies only to X!Tandem data, + helpful for data with homologous top hits e.g. phospho or glyco)] + d [report decoy hits with a computed probability based on the model learned] + p [run ProteinProphet afterwards] + t [do not create png data plot] + u [do not assemble protein groups in ProteinProphet analysis] + s [do not use Occam's Razor in ProteinProphet analysis to + derive the simplest protein list to explain observed peptides] +--> + +</tool>