Literature DB >> 21298793

COMPASS: a suite of pre- and post-search proteomics software tools for OMSSA.

Craig D Wenger1, Douglas H Phanstiel, M Violet Lee, Derek J Bailey, Joshua J Coon.   

Abstract

Here we present the Coon OMSSA Proteomic Analysis Software Suite (COMPASS): a free and open-source software pipeline for high-throughput analysis of proteomics data, designed around the Open Mass Spectrometry Search Algorithm. We detail a synergistic set of tools for protein database generation, spectral reduction, peptide false discovery rate analysis, peptide quantitation via isobaric labeling, protein parsimony and protein false discovery rate analysis, and protein quantitation. We strive for maximum ease of use, utilizing graphical user interfaces and working with data files in the original instrument vendor format. Results are stored in plain text comma-separated value files, which are easy to view and manipulate with a text editor or spreadsheet program. We illustrate the operation and efficacy of COMPASS through the use of two LC-MS/MS data sets. The first is a data set of a highly annotated mixture of standard proteins and manually validated contaminants that exhibits the identification workflow. The second is a data set of yeast peptides, labeled with isobaric stable isotope tags and mixed in known ratios, to demonstrate the quantitative workflow. For these two data sets, COMPASS performs equivalently or better than the current de facto standard, the Trans-Proteomic Pipeline.
Copyright © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2011        PMID: 21298793      PMCID: PMC3049964          DOI: 10.1002/pmic.201000616

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  43 in total

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Journal:  Proteomics       Date:  2007-03       Impact factor: 3.984

5.  Comparative evaluation of tandem MS search algorithms using a target-decoy search strategy.

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8.  Post-acquisition ETD spectral processing for increased peptide identifications.

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9.  A dynamic model of proteome changes reveals new roles for transcript alteration in yeast.

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3.  Rapid phosphoproteomic and transcriptomic changes in the rhizobia-legume symbiosis.

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Journal:  Mol Cell Proteomics       Date:  2012-06-08       Impact factor: 5.911

4.  A proteogenomic survey of the Medicago truncatula genome.

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5.  DeMix-Q: Quantification-Centered Data Processing Workflow.

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6.  ATM directs DNA damage responses and proteostasis via genetically separable pathways.

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7.  Identification of the phosphorylation targets of symbiotic receptor-like kinases using a high-throughput multiplexed assay for kinase specificity.

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8.  Neutron-encoded signatures enable product ion annotation from tandem mass spectra.

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Review 10.  Integrating omics technologies to study pulmonary physiology and pathology at the systems level.

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