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© Research
Publication : Bioinformatics (Oxford, England)

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

Member: Quentin Giai Gianetto
Scientific Fields
Diseases
Organisms
Applications
Technique

Published in Bioinformatics (Oxford, England) - 01 Jan 2017

Wieczorek S, Combes F, Lazar C, Giai Gianetto Q, Gatto L, Dorffer A, Hesse AM, Couté Y, Ferro M, Bruley C, Burger T

Link to Pubmed [PMID] – 27605098

Bioinformatics (2017); 33 (1): 135-136

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.