This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see pRolocdata.
Bioconductor version: 3.16
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, Oliver M. Crook and Lisa M. Breckels
Maintainer: Laurent Gatto <laurent.gatto at uclouvain.be>
Citation (from within R,
      enter citation("pRolocdata")):
To install this package, start R (version "4.2") 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.
| Reference Manual | ||
| Text | NEWS | 
| biocViews | Arabidopsis_thaliana_Data, Drosophila_melanogaster_Data, ExperimentData, Homo_sapiens_Data, MassSpectrometryData, Mus_musculus_Data, Proteome, StemCell | 
| Version | 1.36.0 | 
| License | GPL-2 | 
| Depends | R (>= 3.6.3), MSnbase | 
| Imports | Biobase, utils | 
| LinkingTo | |
| Suggests | pRoloc(>= 1.13.8), testthat, SummarizedExperiment | 
| SystemRequirements | |
| Enhances | |
| URL | https://github.com/lgatto/pRolocdata | 
| BugReports | https://github.com/lgatto/pRolocdata/issues | 
| Depends On Me | |
| Imports Me | bandle | 
| Suggests Me | MSnbase, pRoloc, pRolocGUI, RforProteomics | 
| Links To Me | |
| Build Report | 
Follow Installation instructions to use this package in your R session.
| Source Package | pRolocdata_1.36.0.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/ | 
| Package Downloads Report | Download Stats | 
 
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