To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("pRolocdata")

In most cases, you don't need to download the package archive at all.

pRolocdata

 

Data accompanying the pRoloc package

Bioconductor version: Release (3.1)

Mass-spectrometry based spatial proteomics data sets from Dunkley et al. (2006), Foster et al. (2006), Tan et al. (2009), Hall et al. (2009), Trotter et al. (2010), Ferro et al. (2010), Nikolovski et al. (2012, 2014), Breckels et al. (2013) and Groen et al. (2014) and protein complex separation data from Kristensen et al. (2012), Havugimana et al. (2012), Kirkwood et al. (2013) and Fabre et al. (2015).

Author: Laurent Gatto and Lisa M. Breckels

Maintainer: Laurent Gatto <lg390 at cam.ac.uk>

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

Installation

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("pRolocdata")

Documentation

PDF   Reference Manual
Text   NEWS

Details

biocViews Arabidopsis_thaliana_Data, Drosophila_melanogaster_Data, ExperimentData, Homo_sapiens_Data, MassSpectrometryData, Mus_musculus_Data, StemCell
Version 1.6.0
License GPL-2
Depends R (>= 2.15), MSnbase
Imports Biobase
LinkingTo
Suggests pRoloc
SystemRequirements
Enhances
URL https://github.com/lgatto/pRolocdata
BugReports https://github.com/lgatto/pRolocdata/issues
Depends On Me
Imports Me pRolocGUI
Suggests Me MSnbase, pRoloc, RforProteomics
Build Report  

Package Archives

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

Package Source pRolocdata_1.6.0.tar.gz
Windows Binary
Mac OS X 10.6 (Snow Leopard)
Mac OS X 10.9 (Mavericks)
Subversion source (username/password: readonly)
Package Short Url http://bioconductor.org/packages/pRolocdata/
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