DAPAR

DOI: 10.18129/B9.bioc.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 (3.13)

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

Author: Samuel Wieczorek [cre,aut], Florence Combes [aut], Thomas Burger [aut], Cosmin Lazar [ctb], Alexia Dorffer [ctb], Anais Courtier [ctb], Helene Borges [ctb], Enora Fremy [ctb]

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

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

Installation

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

if (!requireNamespace("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

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 1.23.1
In Bioconductor since BioC 3.2 (R-3.2) (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 (>= 0.8), forcats, methods, highcharter, DAPARdata(>= 1.18.0), siggenes, graph, lme4, readxl, 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_1.23.1.tar.gz
Windows Binary DAPAR_1.23.1.zip
macOS 10.13 (High Sierra) DAPAR_1.23.1.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

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