DAPAR

This package is for version 3.6 of Bioconductor; for the stable, up-to-date release version, see DAPAR.

Tools for the Differential Analysis of Proteins Abundance with R

Bioconductor version: 3.6

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]

Maintainer: Samuel Wieczorek <samuel.wieczorek at cea.fr>

Citation (from within R, enter citation("DAPAR")):

Installation

To install this package, start R (version "3.4") 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")

DAPAR One Page Introduction PDF

Prostar user manual PDF R Script

Reference Manual PDF

NEWS Text

Need some help? Ask on the Bioconductor Support site!

Details

biocViews DataImport, GO, MassSpectrometry, Normalization, Preprocessing, Proteomics, QualityControl, Software

Version 1.10.4

In Bioconductor since BioC 3.2 (R-3.2) (8.5 years)

License Artistic-2.0

Depends R (>= 3.4.2)

Imports MSnbase, RColorBrewer, stats, preprocessCore, Cairo, png, lattice, reshape2, gplots, pcaMethods, ggplot2, limma, knitr, tmvtnorm, norm, impute, imputeLCMD, doParallel, parallel, foreach, grDevices, graphics, openxlsx, utils, cp4p (>= 0.3.5), scales, Matrix, vioplot, imp4p (>= 0.5), highcharter, DAPARdata(>= 1.7.1), siggenes, graph, lme4, readxl, clusterProfiler, dplyr, tidyr, AnnotationDbi

System Requirements

URL

Suggests BiocGenerics, Biobase, testthat, BiocStyle, Prostar

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_1.10.4.tar.gz

Windows Binary DAPAR_1.10.4.zip

Mac OS X 10.11 (El Capitan) DAPAR_1.10.4.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

Old Source Packages for BioC 3.6 Source Archive