DAPAR
This is the development version of DAPAR; for the stable release version, see DAPAR.
All Bioconductor versions of DAPAR
3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2
Tools for the Differential Analysis of Proteins Abundance with R
Bioconductor version: 3.24 · Package version: 1.45.0
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 [cre, aut], Florence Combes [aut], Thomas Burger [aut], Vasile-Cosmin Lazar [ctb], Enora Fremy [ctb], Helene Borges [ctb], Manon Gaudin [ctb]
Maintainer: Samuel Wieczorek <samuel.wieczorek at cea.fr>
Citation
From within R, enter citation("DAPAR"):
Samuel Wieczorek, Florence Combes, Thomas Burger. DAPAR: Tools for the Differential Analysis of Proteins Abundance with R. doi:10.18129/B9.bioc.DAPAR, R package version 1.45.0, https://bioconductor.org/packages/DAPAR.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("DAPAR")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 1.45.0 |
| License | Artistic-2.0 |
| URL | http://www.prostar-proteomics.org/ |
| Bug Reports | https://github.com/edyp-lab/DAPAR/issues |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 3.2 (R-3.2) (10 years) |
| Downloads rank | 679 of 2,456 |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | DataImport, GO, MassSpectrometry, Normalization, Preprocessing, Proteomics, QualityControl, Software |
| Package Short Url | https://bioconductor.org/packages/DAPAR/ |
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("DAPAR")| DAPAR user manual | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | DAPAR_1.45.0.tar.gz |
| Windows binary (x86_64) | DAPAR_1.45.0.zip |
| macOS binary (arm64) | DAPAR_1.45.0.tgz |
| macOS binary (x86_64) | DAPAR_1.45.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/DAPAR |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/DAPAR |
| Package Downloads Report | Download Stats |
Dependencies
Depends: R (>= 4.5.0)
Imports: Biobase, MSnbase, DAPARdata (>= 1.30.0), utils, plotly, 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