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 (3.15)

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>

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

Installation

To install this package, start R (version "4.2") 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

PDF   Reference Manual

Details

biocViews DataImport, GO, MassSpectrometry, Normalization, Preprocessing, Proteomics, QualityControl, Software
Version 1.27.0
In Bioconductor since BioC 3.2 (R-3.2) (6 years)
License Artistic-2.0
Depends R (>= 4.1.0)
Imports 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(>= 1.23.4), 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
Windows Binary
macOS 10.13 (High Sierra)
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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