| URL: | http://patternlabforproteomics.org |
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| Description: | PatternLab for Proteomics is an integrated computational environment for analyzing shotgun proteomic data. PatternLab contains modules for formatting sequence databases, performing peptide spectrum matching, statistically filtering and organizing shotgun proteomic data, extracting quantitative information from label-free and chemically labeled data, performing statistics for differential proteomics, displaying results in a variety of graphical formats, performing similarity-driven studies with de novo sequencing data, analyzing time-course experiments, and helping with the understanding of the biological significance of data in the light of the Gene Ontology. |
| Year founded: | 2016 |
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| Version: | 4.0 |
| Accessibility: |
Accessible
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| Country/Region: | Brazil |
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| University/Institution: | Carlos Chagas Institute |
| Address: | Computational Mass Spectrometry Group, Carlos Chagas Institute, Fiocruz Paraná, Curitiba, Brazil |
| City: | Curitiba |
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| Country/Region: | Brazil |
| Contact name (PI/Team): | Paulo C Carvalho |
| Contact email (PI/Helpdesk): | paulo@pcarvalho.com |
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Integrated analysis of shotgun proteomic data with PatternLab for proteomics 4.0. [PMID: 26658470]
PatternLab for proteomics is an integrated computational environment that unifies several previously published modules for the analysis of shotgun proteomic data. The contained modules allow for formatting of sequence databases, peptide spectrum matching, statistical filtering and data organization, extracting quantitative information from label-free and chemically labeled data, and analyzing statistics for differential proteomics. PatternLab also has modules to perform similarity-driven studies with de novo sequencing data, to evaluate time-course experiments and to highlight the biological significance of data with regard to the Gene Ontology database. The PatternLab for proteomics 4.0 package brings together all of these modules in a self-contained software environment, which allows for complete proteomic data analysis and the display of results in a variety of graphical formats. All updates to PatternLab, including new features, have been previously tested on millions of mass spectra. PatternLab is easy to install, and it is freely available from http://patternlabforproteomics.org. |