Package: DAPAR
Type: Package
Title: Tools for the Differential Analysis of Proteins Abundance with R
Description: 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).
Version: 1.45.0
Date: 2026-04-13
Authors@R: c(person(given = "Samuel", family = "Wieczorek",
            email = "samuel.wieczorek@cea.fr", role = c("cre", "aut")),
            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"),
            person(given = "Manon", family = "Gaudin",
            email = "manon.gaudin@cea.fr", role = c("ctb")))
License: Artistic-2.0
VignetteBuilder: knitr
Depends: R (>= 4.5.0)
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
Imports: Biobase, MSnbase, DAPARdata (>= 1.30.0), utils, plotly,
        foreach
biocViews: Proteomics, Normalization, Preprocessing, MassSpectrometry,
        QualityControl, GO, DataImport
NeedsCompilation: no
RoxygenNote: 7.3.3
Packaged: 2026-07-04 06:09:12 UTC; root
Encoding: UTF-8
URL: http://www.prostar-proteomics.org/
BugReports: https://github.com/edyp-lab/DAPAR/issues
Collate: agregation.R anova_analysis.R bioAnalysis.R clustering.R
        dataset_Validity.R compute.t.tests.R DiffAnalysis.R
        get_pep_prot_cc.R metacell.R inOutFiles.R limmaAnalysis.R
        logText.R missingValuesFilter.R
        missingValuesImputation_PeptideLevel.R
        missingValuesImputation_ProteinLevel.R normalize.R pepa.R
        plots_boxplot.R plots_compare_Norm.R plots_corr_matrix.R
        plots_density.R plots_density_CV.R plots_heatmaps.R plots_pca.R
        plots_violin.R utils.R volcanoPlot.R palette.R hypothesisTest.R
        metacell_Plots.R zzz.R
Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libuv1-dev
        libxml2-dev libnetcdf-dev libssl-dev zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:41:57 UTC
RemoteUrl: https://github.com/bioc/DAPAR
RemoteRef: HEAD
RemoteSha: 5c3a2c95665bb2f37c8369d80ecba26f06513c57
Author: Samuel Wieczorek [cre, aut],
  Florence Combes [aut],
  Thomas Burger [aut],
  Vasile-Cosmin Lazar [ctb],
  Enora Fremy [ctb],
  Helene Borges [ctb],
  Manon Gaudin [ctb]
Maintainer: Samuel Wieczorek <samuel.wieczorek@cea.fr>