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
| Maintainer | Samuel Wieczorek <samuel.wieczorek@cea.fr> |
| Author | Samuel Wieczorek [aut, cre] (ORCID: <https://orcid.org/0000-0002-5016-1203>), Enora Fremy [aut] |
| License | GPL-2 |
| URL | https://github.com/edyp-lab/DaparToolshedData, https://edyp-lab.github.io/DaparToolshedData/ |
| Bug Reports | https://github.com/edyp-lab/DaparToolshedData/issues |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | ExperimentData, ExperimentHub, MassSpectrometryData |
| Package Short Url | https://bioconductor.org/packages/DaparToolshedData/ |
Citation
From within R, enter citation("DaparToolshedData"):
Samuel Wieczorek, Enora Fremy. DaparToolshedData: Data accompanying the DaparToolshed and Prostar 2 packages. doi:10.18129/B9.bioc.DaparToolshedData, R package version 0.99.21, https://bioconductor.org/packages/DaparToolshedData.
Generated from the package metadata; it may differ from the package's own citation.
Download
Follow the installation instructions to use this package in your R session.
| Source package | DaparToolshedData_0.99.21.tar.gz |
Dependencies
Depends: R (>= 4.5.0)
Imports: S4Vectors, utils, QFeatures, ExperimentHub, AnnotationHub