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DAPARdata

Data accompanying the DAPAR and Prostar packages

Bioconductor version: 3.23 · Package version: 1.42.0

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.

Installation

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

BiocManager::install("DAPARdata")

Details

MaintainerSamuel Wieczorek <samuel.wieczorek@cea.fr>
AuthorSamuel Wieczorek [cre,aut], Thomas Burger [aut], Enora Fremy [aut]
LicenseGPL-2
URLhttp://www.prostar-proteomics.org/
Bug Reportshttps://github.com/edyp-lab/DAPARdata/issues
Downloads rank221
Source branchRELEASE_3_23
biocViewsExperimentData, MassSpectrometryData, Proteome

Download

Follow the installation instructions to use this package in your R session.

Source packageDAPARdata_1.42.0.tar.gz
Dependencies

Depends: R (>= 4.4.0), MSnbase

Imports: utils

Suggests: knitr, DAPAR, BiocStyle

Reverse dependencies

Imports Me (2): DAPAR, Prostar