DOI: 10.18129/B9.bioc.DAPAR    

Tools for the Differential Analysis of Proteins Abundance with R

Bioconductor version: Release (3.6)

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")):


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PDF DAPAR One Page Introduction
PDF R Script Prostar user manual
PDF   Reference Manual
Text   NEWS


biocViews DataImport, GO, MassSpectrometry, Normalization, Preprocessing, Proteomics, QualityControl, Software
Version 1.10.4
In Bioconductor since BioC 3.2 (R-3.2) (2.5 years)
License Artistic-2.0
Depends R (>= 3.4.2)
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, imp4p (>= 0.5), highcharter, DAPARdata(>= 1.7.1), siggenes, graph, lme4, readxl, clusterProfiler, dplyr, tidyr, AnnotationDbi
Suggests BiocGenerics, Biobase, testthat, BiocStyle, Prostar
Depends On Me
Imports Me Prostar
Suggests Me DAPARdata
Build Report  

Package Archives

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

Source Package DAPAR_1.10.4.tar.gz
Windows Binary DAPAR_1.10.4.zip
Mac OS X 10.11 (El Capitan) DAPAR_1.10.4.tgz
Source Repository git clone https://git.bioconductor.org/packages/DAPAR
Package Short Url http://bioconductor.org/packages/DAPAR/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.6 Source Archive

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