DAPARdata

This is the development version of DAPARdata; for the stable release version, see DAPARdata.

Data accompanying the DAPAR and Prostar packages


Bioconductor version: Development (3.21)

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: Samuel Wieczorek [cre,aut], Thomas Burger [aut], Enora Fremy [aut]

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

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

Installation

To install this package, start R (version "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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 HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews ExperimentData, MassSpectrometryData, Proteome
Version 1.37.0
License GPL-2
Depends R (>= 4.3.0), MSnbase
Imports utils
System Requirements
URL http://www.prostar-proteomics.org/
Bug Reports https://github.com/prostarproteomics/DAPARdata/issues
See More
Suggests knitr, DAPAR, BiocStyle
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_1.37.0.tar.gz
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/DAPARdata
Source Repository (Developer Access) git clone [email protected]:packages/DAPARdata
Package Short Url https://bioconductor.org/packages/DAPARdata/
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