This is the released version of DAPAR; for the devel version, see DAPAR.
Tools for the Differential Analysis of Proteins Abundance with RBioconductor version: Release (3.21)
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: c(person(given = "Samuel", family = "Wieczorek", email = "samuel.wieczorek@cea.fr", role = c("aut","cre")), person(given = "Florence", family ="Combes", email = "florence.combes@cea.fr", role = "aut"), person(given = "Thomas", family ="Burger", email = "thomas.burger@cea.fr", role = "aut"), person(given = "Vasile-Cosmin", family ="Lazar", email = "vcosminlazar@gmail.com", role = "ctb"), person(given = "Enora", family ="Fremy", email = "enora.fremy@cea.fr", role = "ctb"), person(given = "Helene", family ="Borges", email = "helene.borges@cea.fr", role = "ctb"))
Maintainer: Samuel Wieczorek <samuel.wieczorek at cea.fr>
Citation (from within R, entercitation("DAPAR")): Installation
To install this package, start R (version "4.5") 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 Details biocViews DataImport, GO, MassSpectrometry, Normalization, Preprocessing, Proteomics, QualityControl, Software Version 1.40.0 In Bioconductor since BioC 3.2 (R-3.2) (9.5 years) License Artistic-2.0 Depends R (>= 4.3.0) Imports Biobase, MSnbase, DAPARdata(>= 1.30.0), utils, highcharter, foreach System Requirements URL http://www.prostar-proteomics.org/ Bug Reports https://github.com/edyp-lab/DAPAR/issues See More 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 Linking To Enhances Depends On Me Imports Me Prostar Suggests Me DAPARdata, mi4p Links To Me Build Report Build Report Package ArchivesFollow Installation instructions to use this package in your R session.
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