DOI: 10.18129/B9.bioc.DAPAR  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see DAPAR.

Tools for the Differential Analysis of Proteins Abundance with R

Bioconductor version: 3.16

The package DAPAR is a Bioconductor distributed R package which provides all the necessary functions to analyze quantitative data from label-free proteomics experiments. Contrarily to most other similar R packages, it is endowed with rich and user-friendly graphical interfaces, so that no programming skill is required (see `Prostar` package).

Author: Samuel Wieczorek [aut, cre], Florence Combes [aut], Thomas Burger [aut], Vasile-Cosmin Lazar [ctb], Enora Fremy [ctb], Helene Borges [ctb]

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

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


To install this package, start R (version "4.2") and enter:

if (!require("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 1.30.6
In Bioconductor since BioC 3.2 (R-3.2) (7.5 years)
License Artistic-2.0
Depends R (>= 4.2.0)
Imports Biobase, MSnbase, DAPARdata(>= 1.28.0), utils, highcharter, foreach
Suggests testthat, BiocStyle, AnnotationDbi, clusterProfiler, graph, diptest, cluster, vioplot, visNetwork, vsn, igraph, FactoMineR, factoextra, dendextend, parallel, doParallel, Mfuzz, apcluster, forcats, readxl, openxlsx, multcomp, purrr, tibble, knitr, norm, scales, tidyverse, cp4p, imp4p (>= 1.1), lme4, dplyr, limma, preprocessCore, stringr, tidyr, impute, gplots, grDevices, reshape2, graphics, stats, methods, ggplot2, RColorBrewer, Matrix, org.Sc.sgd.db
URL http://www.prostar-proteomics.org/
BugReports https://github.com/prostarproteomics/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_1.30.6.tar.gz
Windows Binary DAPAR_1.30.6.zip
macOS Binary (x86_64) DAPAR_1.30.6.tgz
macOS Binary (arm64) DAPAR_1.30.6.tgz
Source Repository git clone https://git.bioconductor.org/packages/DAPAR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/DAPAR
Bioc Package Browser https://code.bioconductor.org/browse/DAPAR/
Package Short Url https://bioconductor.org/packages/DAPAR/
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