DAPAR

DOI: 10.18129/B9.bioc.DAPAR    

Tools for the Differential Analysis of Proteins Abundance with R

Bioconductor version: Release (3.14)

This package contains a collection of functions for the visualisation and the statistical analysis of proteomic data.

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>

Installation

To install this package, start R (version "4.1") 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

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

browseVignettes("DAPAR")

 

PDF	R Script	Prostar user manual
PDF		Reference Manual
Text		NEWS

Details

biocViews	DataImport, GO, MassSpectrometry, Normalization, Preprocessing, Proteomics, QualityControl, Software
Version	1.26.1
In Bioconductor since	BioC 3.2 (R-3.2) (6.5 years)
License	Artistic-2.0
Depends	R (>= 4.1.0)
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 (>= 1.1), forcats, methods, DAPARdata(>= 1.24.0), siggenes, graph, lme4, readxl, highcharter, clusterProfiler, dplyr, tidyr, AnnotationDbi, tidyverse, vsn, FactoMineR, factoextra, multcomp, purrr, visNetwork, foreach, parallel, doParallel, igraph, dendextend, Mfuzz, apcluster, diptest, cluster
LinkingTo
Suggests	BiocGenerics, testthat, BiocStyle
SystemRequirements
Enhances
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_1.26.1.tar.gz
Windows Binary	DAPAR_1.26.1.zip
macOS 10.13 (High Sierra)	DAPAR_1.26.1.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/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.14	Source Archive