To install this package, start R and enter:

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

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

DAPAR

   

This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see DAPAR.

Tools for the Differential Analysis of Proteins Abundance with R

Bioconductor version: 3.2

This package contains a collection of functions for the visualisation and the statistical analysis of proteomic data.

Author: Samuel Wieczorek [cre,aut], Florence Combes [aut], Thomas Burger [aut], Cosmin Lazar [ctb], Alexia Dorffer [ctb]

Maintainer: Samuel Wieczorek <samuel.wieczorek at cea.fr>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("DAPAR")

 

PDF DAPAR One Page Introduction
PDF Prostar user manual
PDF UPSprotx2 dataset description
PDF   Reference Manual
Text   NEWS

Details

biocViews MassSpectrometry, Normalization, Preprocessing, Proteomics, Software
Version 1.0.0
In Bioconductor since BioC 3.2 (R-3.2) (0.5 years)
License Artistic-2.0
Depends R (>= 3.2), MSnbase
Imports RColorBrewer, stats, preprocessCore, Cairo, png, lattice, reshape2, gplots, pcaMethods, ggplot2, limma, knitr, tmvtnorm, norm, impute, imputeLCMD, XLConnect
LinkingTo
Suggests BiocGenerics, testthat, BiocStyle, Prostar
SystemRequirements
Enhances
URL
Depends On Me Prostar
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source DAPAR_1.0.0.tar.gz
Windows Binary DAPAR_1.0.0.zip
Mac OS X 10.6 (Snow Leopard) DAPAR_1.0.0.tgz
Mac OS X 10.9 (Mavericks) DAPAR_1.0.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/DAPAR/tree/release-3.2
Package Short Url http://bioconductor.org/packages/DAPAR/
Package Downloads Report Download Stats

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