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DAPAR & ProStaR: software to perform statistical analyses in quantitative discovery proteomics.

Published version
Peer-reviewed

Change log

Authors

Wieczorek, Samuel 
Combes, Florence 
Lazar, Cosmin 
Giai Gianetto, Quentin 

Abstract

UNLABELLED: DAPAR and ProStaR are software tools to perform the statistical analysis of label-free XIC-based quantitative discovery proteomics experiments. DAPAR contains procedures to filter, normalize, impute missing value, aggregate peptide intensities, perform null hypothesis significance tests and select the most likely differentially abundant proteins with a corresponding false discovery rate. ProStaR is a graphical user interface that allows friendly access to the DAPAR functionalities through a web browser. AVAILABILITY AND IMPLEMENTATION: DAPAR and ProStaR are implemented in the R language and are available on the website of the Bioconductor project (http://www.bioconductor.org/). A complete tutorial and a toy dataset are accompanying the packages. CONTACT: samuel.wieczorek@cea.fr, florence.combes@cea.fr, thomas.burger@cea.fr.

Description

Keywords

Peptides, Proteins, Proteomics, Software

Journal Title

Bioinformatics

Conference Name

Journal ISSN

1367-4803
1367-4811

Volume Title

33

Publisher

Oxford University Press (OUP)
Sponsorship
European Commission (262067)
Biotechnology and Biological Sciences Research Council (BB/L002817/1)
ANR-2010-GENOM-BTV-002-01 (ChloroTypes), ANR-10-INBS-08 (ProFI project, ‘Infrastructures Nationales en Biologie et Sante´’, ‘Investissements d’Avenir’), European Union FP7 program (Prime-XS Project, Contract no. 262067), Prospectom project (Mastodons 2012 CNRS Challenge), Biotechnology and Biological Sciences Research Council (Strategic Longer and Larger Grant ID: BB/L002817/1)