To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("MSstats")

In most cases, you don't need to download the package archive at all.

MSstats

Protein Significance Analysis in DDA, SRM and DIA for Label-free or Label-based Proteomics Experiments

Bioconductor version: Release (3.1)

A set of tools for statistical relative protein significance analysis in DDA, SRM and DIA experiments.

Author: Meena Choi <choi67 at purdue.edu>, Ching-Yun Chang <chang54 at purdue.edu>, Olga Vitek <ovitek at purdue.edu>

Maintainer: Meena Choi <choi67 at purdue.edu>

Citation (from within R, enter citation("MSstats")):

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("MSstats")

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("MSstats")

PDF	R Script	Protein quantification in LC-MS, SRM, DIA experiments
PDF		Reference Manual
Text		NEWS

biocViews	MassSpectrometry, Proteomics, Software
Version	2.6.0
In Bioconductor since	BioC 2.13 (R-3.0) (2 years)
License	Artistic-2.0
Depends	R (>= 3.0), Rcpp, MSnbase, reshape
Imports	lme4, marray, limma, gplots, ggplot2, preprocessCore
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Build Report

Follow Installation instructions to use this package in your R session.

Package Source	MSstats_2.6.0.tar.gz
Windows Binary	MSstats_2.6.0.zip
Mac OS X 10.6 (Snow Leopard)	MSstats_2.6.0.tgz
Mac OS X 10.9 (Mavericks)	MSstats_2.6.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/MSstats/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/MSstats/
Package Downloads Report	Download Stats

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