DAPAR
This is the released version of DAPAR; for the devel version, see DAPAR.
Tools for the Differential Analysis of Proteins Abundance with R
Bioconductor version: Release (3.23)
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: 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 at cea.fr>
citation("DAPAR")):Samuel Wieczorek, Florence Combes, Thomas Burger. DAPAR: Tools for the Differential Analysis of Proteins Abundance with R. doi:10.18129/B9.bioc.DAPAR, R package version 1.44.0, https://bioconductor.org/packages/DAPAR.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") 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")| Prostar User Manual | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | DataImport, GO, MassSpectrometry, Normalization, Preprocessing, Proteomics, QualityControl, Software |
| Version | 1.44.0 |
| In Bioconductor since | BioC 3.2 (R-3.2) (11 years) |
| License | Artistic-2.0 |
| Depends | R (>= 4.5.0) |
| Imports | Biobase, MSnbase, DAPARdata (>= 1.30.0), utils, plotly, 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, r-universe |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | DAPAR_1.44.0.tar.gz |
| Windows Binary (x86_64) | DAPAR_1.44.0.zip |
| macOS Binary (big-sur-x86_64) | DAPAR_1.44.0.tgz |
| macOS Binary (sonoma-arm64) | DAPAR_1.44.0.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 |