DAPAR

Tools for the Differential Analysis of Proteins Abundance with R

Bioconductor version: Release (3.17)

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")):

Installation

To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("DAPAR")

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

Documentation


Reference Manual	PDF
NEWS	Text

Details

biocViews	DataImport, GO, MassSpectrometry, Normalization, Preprocessing, Proteomics, QualityControl, Software
Version	1.32.2
In Bioconductor since	BioC 3.2 (R-3.2) (8 years)
License	Artistic-2.0
Depends	R (>= 4.3.0)
Imports	Biobase, MSnbase, DAPARdata(>= 1.30.0), utils, highcharter, foreach
Linking To
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
System Requirements
Enhances
URL	http://www.prostar-proteomics.org/
Bug Reports	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_1.32.2.tar.gz
Windows Binary	DAPAR_1.32.3.zip
macOS Binary (x86_64)	DAPAR_1.32.3.tgz
macOS Binary (arm64)	DAPAR_1.32.3.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/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.17	Source Archive