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DaparToolshedData

This is the development version of DaparToolshedData; to use it, please install the devel version of Bioconductor.

Data accompanying the DaparToolshed and Prostar 2 packages


Bioconductor version: Development (3.24)

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 [aut, cre] ORCID iD ORCID: 0000-0002-5016-1203 , Enora Fremy [aut]

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

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.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("DaparToolshedData")

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("DaparToolshedData")
DaparToolshd data using Bioconductor's ExperimentHub HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews ExperimentData, ExperimentHub, MassSpectrometryData
Version0.99.21
In Bioconductor sinceBioC 3.24 (R-4.6)
License GPL-2
Depends R (>= 4.5.0)
Imports S4Vectors, utils, QFeatures, ExperimentHub, AnnotationHub
System Requirements
URLhttps://github.com/edyp-lab/DaparToolshedData https://edyp-lab.github.io/DaparToolshedData/
Bug Reportshttps://github.com/edyp-lab/DaparToolshedData/issues
See More
Suggests rmarkdown, BiocStyle, testthat, knitr
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Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package DaparToolshedData_0.99.21.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/DaparToolshedData
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/DaparToolshedData
Package Short Url https://bioconductor.org/packages/DaparToolshedData/
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