DAPAR
This package is for version 3.18 of Bioconductor; for the stable, up-to-date release version, see DAPAR.
Tools for the Differential Analysis of Proteins Abundance with R
Bioconductor version: 3.18
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("DAPAR")):
Installation
To install this package, start R (version "4.3") 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
| Reference Manual | |
| NEWS | Text |
Details
| biocViews | DataImport, GO, MassSpectrometry, Normalization, Preprocessing, Proteomics, QualityControl, Software |
| Version | 1.34.6 |
| In Bioconductor since | BioC 3.2 (R-3.2) (8.5 years) |
| License | Artistic-2.0 |
| Depends | R (>= 4.3.0) |
| Imports | Biobase, MSnbase, DAPARdata(>= 1.27.3), utils, highcharter, foreach, 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, lme4, dplyr, limma, preprocessCore, stringr, tidyr, impute, gplots, grDevices, reshape2, graphics, stats, methods, ggplot2, RColorBrewer, Matrix, org.Sc.sgd.db |
| System Requirements | |
| URL | http://www.prostar-proteomics.org/ |
| Bug Reports | https://github.com/prostarproteomics/DAPAR/issues |
See More
| Suggests | testthat, BiocStyle |
| Linking To | |
| Enhances | |
| Depends On Me | |
| Imports Me | Prostar |
| Suggests Me | DAPARdata |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | DAPAR_1.34.6.tar.gz |
| Windows Binary | DAPAR_1.34.6.zip (64-bit only) |
| macOS Binary (x86_64) | DAPAR_1.34.6.tgz |
| macOS Binary (arm64) | DAPAR_1.34.6.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/DAPAR |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/DAPAR |
| Bioc Package Browser | https://code.bioconductor.org/browse/DAPAR/ |
| Package Short Url | https://bioconductor.org/packages/DAPAR/ |
| Package Downloads Report | Download Stats |
| Old Source Packages for BioC 3.18 | Source Archive |