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Repository peptideshaker
Owner: galaxyp
Synopsis: Runs multiple search engines (X! Tandem, OMSSA and MS-GF+) on any number of MGF peak lists using the SearchGUI application and combines the results. https://code.google.com/p/peptide-shaker/
Runs multiple search engines (X! Tandem, OMSSA and MS-GF+) on any number of MGF peak lists using the SearchGUI application and combines the results.

https://code.google.com/p/peptide-shaker/
Content homepage: http://compomics.github.io
Type: unrestricted
Revision: 62:c9b13d4069c8
This revision can be installed: True
Times cloned / installed: 2673

Repository README files - may contain important installation or license information

GalaxyP - PeptideShaker

Description

Perform protein identification combining numerous search engines (using SearchGUI) followed by peptide and protein inference with PeptideShaker.

Includes tool wrappers for FastaCLI, IdentificationParametersCLI, SearchGUI and PeptideShaker.

FastaCLI adds decoy sequences to any fasta file.

The Identification Parameters tool allows to create a parameters (par) file which can be (re)used later to parameterize SearchGUI or PeptideShaker.

The SearchGUI tool takes any number of mgf files and performs searches on these. It creates a large zip archive with all search results, the original database and spectra.

This can then be fed to the PeptideShaker tool which merges the results and performs peptide and protein inference.

General Requirements

To avoid out of memory errors you may need to set the maximum heapspace for java processes if the default is too small for the data you are going to process (4gb for SearchGUI, 1GB for PeptideShaker). For example, to set this in your shell:

export _JAVA_OPTIONS='-Xmx8192m'

On some systems you may also need to adjust the amount of memory available for class definitions in addition to the maximum heapspace. For example:

export _JAVA_OPTIONS='-Xmx8192m -XX:MaxPermSize=1024m'

It is also possible to set this on a per tool basis using advanced features of the galaxy job config system.

MSAmanda on linux

Running MS Amanda on Linux requires that you have Mono installed. Mono 3.2.1 or newer is required. If you install via the toolshed Mono should be installed automatically, however if this does not work you can install it manually.

On ubuntu Mono can be installed as follows

sudo apt-get install mono-runtime sudo apt-get install libmono-system-core4.0-cil

For more help on installing Mono please see http://www.mono-project.com/download.

GalaxyP Community

Current governing community policies for GalaxyP and other information can be found at:

<https://github.com/galaxyproteomics>

License

Copyright (c) 2014 Regents of the University of Minnesota and Authors listed below.

To the extent possible under law, the author(s) have dedicated all copyright and related and neighboring rights to this software to the public domain worldwide. This software is distributed without any warranty.

You should have received a copy of the CC0 Public Domain Dedication along with this software. If not, see <https://creativecommons.org/publicdomain/zero/1.0/>.

You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission.

Contributing

Contributions to this repository are reviewed through pull requests. If you would like your work acknowledged, please also add yourself to the Authors section. If your pull request is accepted, you will also be acknowledged in <https://github.com/galaxyproteomics/tools-galaxyp/>

Authors

Authors and contributors:

Contents of this repository

Name Description Version Minimum Galaxy Version
Appends decoy sequences to FASTA files 4.0.41+galaxy2 24.2
Sets the identification parameters to be used in SearchGUI and PeptideShaker apps 4.0.41+galaxy2 24.2
Perform protein identification using various search engines based on results from SearchGUI 2.0.33+galaxy2 24.2
Perform protein identification using various search engines and prepare results for input to Peptide Shaker 4.0.41+galaxy2 24.2

Categories
Proteomics - Tools enabling the study of proteins