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

Samuel Wieczorek, Florence Combes, Cosmin Lazar, Quentin Giai Gianetto, Laurent Gatto, Alexia Dorffer, Anne-Marie Hesse, Yohann Couté, Myriam Ferro, Christophe Bruley, Thomas Burger

Bioinformatics 2017 January 2

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 (https://www.bioconductor.org/). A complete tutorial and a toy dataset are accompanying the packages.

CONTACT: [email protected], [email protected], [email protected].

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