DOI: 10.18129/B9.bioc.DAPAR    

This package is for version 3.12 of Bioconductor; for the stable, up-to-date release version, see DAPAR.

Tools for the Differential Analysis of Proteins Abundance with R

Bioconductor version: 3.12

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], Anais Courtier [ctb], Helene Borges [ctb], Enora Fremy [ctb]

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

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


To install this package, start R (version "4.0") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


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



PDF R Script Prostar user manual
PDF   Reference Manual
Text   NEWS


biocViews DataImport, GO, MassSpectrometry, Normalization, Preprocessing, Proteomics, QualityControl, Software
Version 1.22.9
In Bioconductor since BioC 3.2 (R-3.2) (5.5 years)
License Artistic-2.0
Depends R (>= 4.0.3)
Imports Biobase, MSnbase, tibble, RColorBrewer, stats, preprocessCore, Cairo, png, lattice, reshape2, gplots, pcaMethods, ggplot2, limma, knitr, tmvtnorm, norm, impute, stringr, grDevices, graphics, openxlsx, utils, cp4p (>= 0.3.5), scales, Matrix, vioplot, imp4p (>= 0.8), forcats, methods, highcharter, DAPARdata(>= 1.18.0), siggenes, graph, lme4, readxl, clusterProfiler, dplyr, tidyr, AnnotationDbi, tidyverse, vsn, FactoMineR, factoextra, multcomp, purrr, visNetwork, foreach, parallel, doParallel, igraph, dendextend, Mfuzz, apcluster, diptest, cluster
Suggests BiocGenerics, testthat, BiocStyle
URL http://www.prostar-proteomics.org/
BugReports https://github.com/samWieczorek/DAPAR/issues
Depends On Me
Imports Me Prostar
Suggests Me DAPARdata
Links To Me
Build Report  

Package Archives

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

Source Package DAPAR_1.22.9.tar.gz
Windows Binary DAPAR_1.22.9.zip
macOS 10.13 (High Sierra) DAPAR_1.22.9.tgz
Source Repository git clone https://git.bioconductor.org/packages/DAPAR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/DAPAR
Package Short Url https://bioconductor.org/packages/DAPAR/
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