--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/protein_inference.xml	Fri May 10 17:31:05 2013 -0400
@@ -0,0 +1,42 @@
+<tool id="openms_protein_inference" version="0.1.0" name="Protein Inference">
+  <description>
+    Computes a protein identification based on the number of identified peptides.
+  </description>
+  <macros>
+    <import>macros.xml</import>
+  </macros>
+  <expand macro="stdio" />
+  <expand macro="requires" />
+  <command interpreter="python">
+    openms_wrapper.py --executable 'PeptideIndexer' --config $config
+  </command>
+  <configfiles>
+    <configfile name="config">[simple_options]
+in=$input1
+out=$output
+min_peptides_per_protein=${min_peptides_per_protein}
+treat_charge_variants_separately=${treat_charge_variants_separately}
+treat_modification_variants_separately=${treat_modification_variants_separately}
+</configfile>
+  </configfiles>
+  <inputs>
+    <param name="input1" label="Identification Input" type="data" format="idxml" />
+    <param name="min_peptides_per_protein" type="integer" value="2" label="Minimum Number of Peptides per Protein Identification" />    
+    <param name="treat_charge_variants_separately" label="Treat Charge Variants Separately" type="boolean" truevalue="true" falsevalue="false" checked="false" help="If this flag is set, different charge variants of the same peptide sequence count as inidividual evidences." />
+    <param name="treat_modification_variants_separately" label="Treat Modification Variants Separately" type="boolean" truevalue="true" falsevalue="false" checked="false" help="If this flag is set, different modification variants of the same peptide sequence count as individual evidences." />
+  </inputs>
+  <outputs>
+    <data format="idxml" name="output" />
+  </outputs>
+  <help>
+**What it does**
+
+This tool counts the peptide sequences that match a protein accession. From this count for all protein hits in the respective id run, only those proteins are accepted that have at least a given number of peptides sequences identified. The peptide identifications should be prefiltered with respect to false discovery rate and the score in general to remove bad identifications.
+
+**Citation**
+
+For the underlying tool, please cite ``Marc Sturm, Andreas Bertsch, Clemens Gröpl, Andreas Hildebrandt, Rene Hussong, Eva Lange, Nico Pfeifer, Ole Schulz-Trieglaff, Alexandra Zerck, Knut Reinert, and Oliver Kohlbacher, 2008. OpenMS – an Open-Source Software Framework for Mass Spectrometry. BMC Bioinformatics 9: 163. doi:10.1186/1471-2105-9-163.``
+
+If you use this tool in Galaxy, please cite Chilton J, et al. https://bitbucket.org/galaxyp/galaxyp-toolshed-openms
+  </help>
+</tool>