DAPAR & ProStaR: software to perform statistical analyses in quantitative discovery proteomics
Bioinformatics, 2017•academic.oup.com
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 …
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 …
Summary
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.
Oxford University Press