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 3.4 of Bioconductor; for the stable, up-to-date release version, see DAPAR.

Tools for the Differential Analysis of Proteins Abundance with R

Bioconductor version: 3.4

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")):

To install this package, start R and enter:

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

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	R Script	Prostar user manual
PDF		UPSprotx2 dataset description
PDF		Reference Manual
Text		NEWS

biocViews	DataImport, MassSpectrometry, Normalization, Preprocessing, Proteomics, QualityControl, Software
Version	1.6.0
In Bioconductor since	BioC 3.2 (R-3.2) (1.5 years)
License	Artistic-2.0
Depends	R (>= 3.3)
Imports	MSnbase, RColorBrewer, stats, preprocessCore, Cairo, png, lattice, reshape2, gplots, pcaMethods, ggplot2, limma, knitr, tmvtnorm, norm, impute, imputeLCMD, doParallel, parallel, foreach, grDevices, graphics, openxlsx, utils, cp4p (>= 0.3.5), scales, Matrix, vioplot
LinkingTo
Suggests	BiocGenerics, Biobase, testthat, BiocStyle, Prostar
SystemRequirements
Enhances
URL
Depends On Me
Imports Me	Prostar
Suggests Me	DAPARdata
Build Report

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

Package Source	DAPAR_1.6.0.tar.gz
Windows Binary	DAPAR_1.6.0.zip
Mac OS X 10.9 (Mavericks)	DAPAR_1.6.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/DAPAR/tree/release-3.4
Package Short Url	http://bioconductor.org/packages/DAPAR/
Package Downloads Report	Download Stats

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