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

Data accompanying the pRoloc package

Bioconductor version: Development (3.19)

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")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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


Reference Manual PDF


biocViews Arabidopsis_thaliana_Data, Drosophila_melanogaster_Data, ExperimentData, Homo_sapiens_Data, MassSpectrometryData, Mus_musculus_Data, Proteome, StemCell
Version 1.41.0
License GPL-2
Depends R (>= 3.6.3), MSnbase
Imports Biobase, utils
System Requirements
URL https://github.com/lgatto/pRolocdata
Bug Reports https://github.com/lgatto/pRolocdata/issues
See More
Suggests pRoloc(>= 1.13.8), testthat, SummarizedExperiment
Linking To
Depends On Me
Imports Me bandle
Suggests Me MSnbase, pRoloc, pRolocGUI, RforProteomics
Links To Me
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Package Archives

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

Source Package pRolocdata_1.41.0.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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