pRolocdata

DOI: 10.18129/B9.bioc.pRolocdata    

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

Data accompanying the pRoloc package

Bioconductor version: Development (3.17)

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 "4.3") 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

PDF   Reference Manual
Text   NEWS

Details

biocViews Arabidopsis_thaliana_Data, Drosophila_melanogaster_Data, ExperimentData, Homo_sapiens_Data, MassSpectrometryData, Mus_musculus_Data, Proteome, StemCell
Version 1.37.0
License GPL-2
Depends R (>= 3.6.3), MSnbase
Imports Biobase, utils
LinkingTo
Suggests pRoloc(>= 1.13.8), testthat, SummarizedExperiment
SystemRequirements
Enhances
URL https://github.com/lgatto/pRolocdata
BugReports https://github.com/lgatto/pRolocdata/issues
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_1.37.0.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/
Package Downloads Report Download Stats

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