pRolocdata

DOI: 10.18129/B9.bioc.pRolocdata    

Data accompanying the pRoloc package

Bioconductor version: Release (3.11)

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, Oliver M. Crook and Lisa M. Breckels

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

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

Installation

To install this package, start R (version "4.0") and enter:

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

BiocManager::install("pRolocdata")

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

Documentation

PDF   Reference Manual
Text   NEWS

Details

biocViews Arabidopsis_thaliana_Data, Drosophila_melanogaster_Data, ExperimentData, Homo_sapiens_Data, MassSpectrometryData, Mus_musculus_Data, Proteome, StemCell
Version 1.26.0
License GPL-2
Depends R (>= 3.6.1), MSnbase
Imports Biobase, utils
LinkingTo
Suggests pRoloc(>= 1.13.8), testthat
SystemRequirements
Enhances
URL https://github.com/lgatto/pRolocdata
BugReports https://github.com/lgatto/pRolocdata/issues
Depends On Me proteomics
Imports Me
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_1.26.0.tar.gz
Windows Binary
macOS 10.13 (High Sierra)
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/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: