PatternLab for Proteomics
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A BIOINFOTIX is a new community which i have created and maintaining for the development of Bioinformatics field and Research in and around the country. Wednesday, March 15, 2017. If you are interested in learning and working on Bioinformatics technology.
A tool for analyzing shotgun proteomic data. Holds a PhD in systems engineering and computer science. From the Federal University of Rio de Janeiro and is a former member of the John R. In October 2014, Paulo was nominated as an executive editor of the Journal of Proteomics. Recently, in 2016, he became part of the Features Panel.
Mouse over a center to display info. A list of all BD2K Centers is available here. ENIGMA Center members present 6 peer-reviewed papers at the SPIE Medical Imaging Conference. Open Science Prize Voting is almost over! .
Computational Mass Spectrometry Group - Fiocruz. We are part of the Carlos Chagas Institute. At Fiocruz Paraná - Brazil. Our group was created in 2012. Bioinformatics and development of computational methods to enable new ways for analyzing mass spectrometry data.
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PatternLab for ProteomicsDESCRIPTION
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.CONTENT
This web site states the following, "PatternLab for Proteomics is an integrated computational environment for analyzing shotgun proteomic data." Our analyzers noticed that the web page also stated " 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."VIEW SIMILAR WEB PAGES
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