pRolocdata
Data accompanying the pRoloc package
Bioconductor version: Release (3.20)
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")):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("pRolocdata")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
| Reference Manual | |
| NEWS | Text |
Details
| biocViews | Arabidopsis_thaliana_Data, Drosophila_melanogaster_Data, ExperimentData, Homo_sapiens_Data, MassSpectrometryData, Mus_musculus_Data, Proteome, StemCell |
| Version | 1.43.1 |
| 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 | bandle |
| Suggests Me | MSnbase, pRolocGUI, pRoloc, RforProteomics |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | pRolocdata_1.43.1.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/ |
| Package Downloads Report | Download Stats |