DAPAR
This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, see DAPAR.
Tools for the Differential Analysis of Proteins Abundance with R
Bioconductor version: 3.11
This package contains a collection of functions for the visualisation and the statistical analysis of proteomic data.
Author: Samuel Wieczorek [cre,aut], Florence Combes [aut], Thomas Burger [aut], Cosmin Lazar [ctb], Alexia Dorffer [ctb], Anais Courtier [ctb], Enora Fremy [ctb]
Maintainer: Samuel Wieczorek <samuel.wieczorek at cea.fr>
citation("DAPAR")):
Installation
To install this package, start R (version "4.0") 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 | R Script | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | DataImport, GO, MassSpectrometry, Normalization, Preprocessing, Proteomics, QualityControl, Software |
| Version | 1.20.3 |
| In Bioconductor since | BioC 3.2 (R-3.2) (8.5 years) |
| License | Artistic-2.0 |
| Depends | R (>= 4.0.0), foreach, parallel, doParallel, igraph |
| Imports | MSnbase, 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 (>= 0.8), highcharter (>= 0.7.0), DAPARdata(>= 1.16.0), siggenes, graph, lme4, readxl, clusterProfiler, dplyr, tidyr, AnnotationDbi, tidyverse, vsn, FactoMineR, factoextra, visNetwork |
| System Requirements | |
| URL |
See More
| Suggests | BiocGenerics, Biobase, 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_1.20.3.tar.gz |
| Windows Binary | DAPAR_1.20.3.zip |
| macOS 10.13 (High Sierra) | DAPAR_1.20.3.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 3.11 | Source Archive |