To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("msmsEDA")

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

msmsEDA

   

This package is for version 3.3 of Bioconductor; for the stable, up-to-date release version, see msmsEDA.

Exploratory Data Analysis of LC-MS/MS data by spectral counts

Bioconductor version: 3.3

Exploratory data analysis to assess the quality of a set of LC-MS/MS experiments, and visualize de influence of the involved factors.

Author: Josep Gregori, Alex Sanchez, and Josep Villanueva

Maintainer: Josep Gregori <josep.gregori at gmail.com>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("msmsEDA")

Documentation

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

browseVignettes("msmsEDA")

 

PDF R Script msmsEDA: Batch effects detection in LC-MSMS experiments
PDF   Reference Manual

Details

biocViews MassSpectrometry, Proteomics, Software
Version 1.10.0
In Bioconductor since BioC 2.13 (R-3.0) (3 years)
License GPL-2
Depends R (>= 3.0.1), MSnbase
Imports MASS, gplots, RColorBrewer
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me msmsTests
Imports Me
Suggests Me Harman, RforProteomics
Build Report  

Package Archives

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

Package Source msmsEDA_1.10.0.tar.gz
Windows Binary msmsEDA_1.10.0.zip
Mac OS X 10.9 (Mavericks) msmsEDA_1.10.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/msmsEDA/tree/release-3.3
Package Short Url http://bioconductor.org/packages/msmsEDA/
Package Downloads Report Download Stats

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