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pRolocdata

This is the development version of pRolocdata; for the stable release version, see pRolocdata.

Data accompanying the pRoloc package

Bioconductor version: Development (3.18)

Mass-spectrometry based spatial proteomics data sets and protein complex separation data. Also contains the time course expression experiment from Mulvey et al. 2015.

Author: Laurent Gatto [aut, cre] , Oliver Crook [aut] , Lisa Breckels [aut]

Maintainer: Laurent Gatto <laurent.gatto at uclouvain.be>

Citation (from within R, enter citation("pRolocdata")):

Installation

To install this package, start R (version "4.3") and enter: 

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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("pRolocdata")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

Reference Manual PDF
NEWS Text

Details

biocViews Arabidopsis_thaliana_Data, Drosophila_melanogaster_Data, ExperimentData, Homo_sapiens_Data, MassSpectrometryData, Mus_musculus_Data, Proteome, StemCell
Version 1.39.0
License GPL-2
Depends R (>= 3.6.3), MSnbase
Imports Biobase, utils
Linking To
Suggests pRoloc(>= 1.13.8), testthat, SummarizedExperiment
System Requirements
Enhances
URL https://github.com/lgatto/pRolocdata
Bug Reports https://github.com/lgatto/pRolocdata/issues
See More
Depends On Me
Imports Me bandle
Suggests Me MSnbase, pRoloc, pRolocGUI, RforProteomics
Links To Me
Build Report  

Package Archives

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

Source Package pRolocdata_1.39.0.tar.gz
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/pRolocdata
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/pRolocdata
Package Short Url https://bioconductor.org/packages/pRolocdata/
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