Package: DAPARdata
Type: Package
Title: Data accompanying the DAPAR and Prostar packages
Version: 1.40.0
Date: 2023-01-14
Authors@R: c(
    person("Florence", "Combes", email = "florence.combes@cea.fr", 
    role = "aut"),
    person("Samuel", "Wieczorek", email = "samuel.wieczorek@cea.fr", 
    role = c("cre", "aut"))
    )
Author: Samuel Wieczorek [cre,aut],
        Thomas Burger [aut],
        Enora Fremy [aut]
Maintainer: Samuel Wieczorek <samuel.wieczorek@cea.fr>
Description: 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.
Depends: R (>= 4.4.0), MSnbase
Suggests: knitr, DAPAR, BiocStyle
Imports: utils
License: GPL-2
biocViews: ExperimentData, MassSpectrometryData, Proteome
NeedsCompilation: no
RoxygenNote: 7.2.3
Packaged: 2025-11-04 16:16:18 UTC; biocbuild
Encoding: UTF-8
URL: http://www.prostar-proteomics.org/
BugReports: https://github.com/edyp-lab/DAPARdata/issues
VignetteBuilder: knitr
git_url: https://git.bioconductor.org/packages/DAPARdata
git_branch: RELEASE_3_22
git_last_commit: 27fe19a
git_last_commit_date: 2025-10-29
Repository: Bioconductor 3.22
Date/Publication: 2025-11-04
