DAPARdata

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see DAPARdata.

Data accompanying the DAPAR and Prostar packages

Bioconductor version: 3.17

Mass-spectrometry based UPS proteomics data sets from Ramus C, Hovasse A, Marcellin M, Hesse AM, Mouton-Barbosa E, Bouyssie D, Vaca S, Carapito C, Chaoui K, Bruley C, Garin J, Cianferani S, Ferro M, Dorssaeler AV, Burlet-Schiltz O, Schaeffer C, Coute Y, Gonzalez de Peredo A. Spiked proteomic standard dataset for testing label-free quantitative software and statistical methods. Data Brief. 2015 Dec 17;6:286-94 and Giai Gianetto, Q., Combes, F., Ramus, C., Bruley, C., Coute, Y., Burger, T. (2016). Calibration plot for proteomics: A graphical tool to visually check the assumptions underlying FDR control in quantitative experiments. Proteomics, 16(1), 29-32.

Author: Florence Combes [aut], Samuel Wieczorek [cre, aut]

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

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

Installation

To install this package, start R (version "4.3") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("DAPARdata")

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("DAPARdata")

DAPARdata User Manual	PDF	R Script
Reference Manual	PDF
NEWS	Text

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	ExperimentData, MassSpectrometryData, Proteome
Version	1.30.4
License	GPL-2
Depends	R (>= 4.2.0), MSnbase
Imports	utils, BiocStyle, graph
System Requirements
URL	http://www.prostar-proteomics.org/
Bug Reports	https://github.com/prostarproteomics/DAPARdata/issues

Suggests	knitr, DAPAR
Linking To
Enhances
Depends On Me
Imports Me	DAPAR, Prostar
Suggests Me
Links To Me
Build Report	Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	DAPARdata_1.30.4.tar.gz
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository	git clone https://git.bioconductor.org/packages/DAPARdata
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/DAPARdata
Package Short Url	https://bioconductor.org/packages/DAPARdata/
Package Downloads Report	Download Stats