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DAPAR

This is the development version of DAPAR; for the stable release version, see DAPAR.

Tools for the Differential Analysis of Proteins Abundance with R

Bioconductor version: Development (3.18)

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")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("DAPAR")

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

Documentation

Reference Manual PDF

Details

biocViews DataImport, GO, MassSpectrometry, Normalization, Preprocessing, Proteomics, QualityControl, Software
Version 1.31.8
In Bioconductor since BioC 3.2 (R-3.2) (8 years)
License Artistic-2.0
Depends R (>= 4.3.0)
Imports Biobase, MSnbase, DAPARdata(>= 1.27.3), 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
See More
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
Windows Binary DAPAR_1.31.8.zip
macOS Binary (x86_64)
macOS Binary (arm64)
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