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.
Installation
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.
Prostar
[![Project Status: Active - The project has reached a stable, usable state and is being actively developed.] (http://www.repostatus.org/badges/latest/active.svg)] (http://www.repostatus.org/#active) [
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(https://bioconductor.org/packages/release/bioc/html/Prostar.html)
[
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(https://bioconductor.org/packages/stats/bioc/Prostar/)
Release: [![build release] (http://bioconductor.org/shields/build/release/bioc/Prostar.svg)] (https://bioconductor.org/checkResults/release/bioc-LATEST/Prostar/) Devel: [![build devel] (http://bioconductor.org/shields/build/devel/bioc/Prostar.svg)] (https://bioconductor.org/checkResults/devel/bioc-LATEST/Prostar/)
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.
Installation
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.
Install of the standalone version
cd ~; mkdir rlib mkdir rlib/www chmod -R 777 rlib/www
R CMD INSTALL Prostar_0.97.0.tar.gz –library=rlib If you would prefer to install the package from R, do this:
From CRAN
install.packages(“Prostar”, lib=”~/rlib”)
Usage
Example of a small size protein dataset.
Copy/paste to format your own dataset.
Contact
samuel.wieczorek@cea.fr, thomas.burger@cea.fr.