Bioconductor 3.22 Released

pRolocdata

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

Data accompanying the pRoloc package


Bioconductor version: Development (3.23)

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] ORCID iD ORCID: 0000-0002-1520-2268 , Oliver Crook [aut] ORCID iD ORCID: 0000-0001-5669-8506 , Lisa Breckels [cre, aut] ORCID iD ORCID: 0000-0001-8918-7171

Maintainer: Lisa Breckels <lms79 at cam.ac.uk>

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

Installation

To install this package, start R (version "4.6") 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

Reference Manual PDF
NEWS Text

Details

biocViews Arabidopsis_thaliana_Data, Drosophila_melanogaster_Data, ExperimentData, Homo_sapiens_Data, MassSpectrometryData, Mus_musculus_Data, Proteome, StemCell
Version 1.47.0
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
Enhances
Depends On Me
Imports Me
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Package Archives

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

Source Package pRolocdata_1.47.0.tar.gz
Windows Binary (x86_64)
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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