To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("pRolocdata")

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

pRolocdata

DOI: 10.18129/B9.bioc.pRolocdata    

Data accompanying the pRoloc package

Bioconductor version: Release (3.5)

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), Groen et al. (2014) and Christoforou et al. (2015), and protein complex separation data from Kristensen et al. (2012), Havugimana et al. (2012), Kirkwood et al. (2013) Fabre et al. (2015), Mulvey et al. (2015) and Itzhak et al. (2016).

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:// URLs are not supported
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 1.14.0
License GPL-2
Depends R (>= 2.15), 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
Imports Me
Suggests Me MSnbase, pRoloc, pRolocGUI, RforProteomics
Build Report  

Package Archives

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

Source Package pRolocdata_1.14.0.tar.gz
Windows Binary
Mac OS X 10.11 (El Capitan)
Source Repository git clone https://git.bioconductor.org/packages/pRolocdata
Package Short Url http://bioconductor.org/packages/pRolocdata/
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