DAPAR
Tools for the Differential Analysis of Proteins Abundance with R
Bioconductor version: 3.23 · Package version: 1.44.0
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).
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("DAPAR")Details
| Maintainer | Samuel Wieczorek <samuel.wieczorek@cea.fr> |
| Author | Samuel Wieczorek [cre, aut], Florence Combes [aut], Thomas Burger [aut], Vasile-Cosmin Lazar [ctb], Enora Fremy [ctb], Helene Borges [ctb], Manon Gaudin [ctb] |
| License | Artistic-2.0 |
| URL | http://www.prostar-proteomics.org/ |
| Bug Reports | https://github.com/edyp-lab/DAPAR/issues |
| Downloads rank | 634 |
| Source branch | RELEASE_3_23 |
| biocViews | DataImport, GO, MassSpectrometry, Normalization, Preprocessing, Proteomics, QualityControl, Software |
Documentation
Download
Follow the 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 (arm64) | DAPAR_1.44.0.tgz |
| macOS binary (x86_64) | DAPAR_1.44.0.tgz |
Dependencies
Depends: R (>= 4.5.0)
Imports: Biobase, MSnbase, DAPARdata (>= 1.30.0), utils, plotly, foreach
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