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")):

Installation

To install this package, start R and enter:

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

Documentation

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

Details

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
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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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