Your browser doesn't support javascript.
loading
COMPASS: a suite of pre- and post-search proteomics software tools for OMSSA.
Wenger, Craig D; Phanstiel, Douglas H; Lee, M Violet; Bailey, Derek J; Coon, Joshua J.
Afiliação
  • Wenger CD; Department of Chemistry, University of Wisconsin, Madison, WI, USA.
Proteomics ; 11(6): 1064-74, 2011 Mar.
Article em En | MEDLINE | ID: mdl-21298793
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Software / Proteômica Tipo de estudo: Evaluation_studies / Prognostic_studies Idioma: En Ano de publicação: 2011 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Software / Proteômica Tipo de estudo: Evaluation_studies / Prognostic_studies Idioma: En Ano de publicação: 2011 Tipo de documento: Article