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

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

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

Author(s) -

Samuel Wieczorek,

Florence Combes,

Cosmin Lazar,

Quentin Giai Gianetto,

Laurent Gatto,

Alexia Dorffer,

Anne-Marie Hesse,

Yohann Couté,

Myriam Ferro,

Christophe Bruley,

Thomas Bürger

Publication year - 2016

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btw580

Subject(s) - bioconductor , software , computer science , false discovery rate , data mining , interface (matter) , graphical user interface , filter (signal processing) , aggregate (composite) , operating system , chemistry , gene , biochemistry , materials science , bubble , maximum bubble pressure method , composite material , computer vision

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.

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