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DaparToolshedData

Data accompanying the DaparToolshed and Prostar 2 packages

Bioconductor version: 3.24 · Package version: 0.99.21

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.

Installation

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

BiocManager::install("DaparToolshedData")

Details

MaintainerSamuel Wieczorek <samuel.wieczorek@cea.fr>
AuthorSamuel Wieczorek [aut, cre] (ORCID: <https://orcid.org/0000-0002-5016-1203>), Enora Fremy [aut]
LicenseGPL-2
URLhttps://github.com/edyp-lab/DaparToolshedData, https://edyp-lab.github.io/DaparToolshedData/
Bug Reportshttps://github.com/edyp-lab/DaparToolshedData/issues
Source branchdevel
biocViewsExperimentData, ExperimentHub, MassSpectrometryData

Download

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

Source packageDaparToolshedData_0.99.21.tar.gz
Dependencies

Depends: R (>= 4.5.0)

Imports: S4Vectors, utils, QFeatures, ExperimentHub, AnnotationHub

Suggests: rmarkdown, BiocStyle, testthat, knitr