pRolocdata
This is the development version of pRolocdata; for the stable release version, see pRolocdata.
Data accompanying the pRoloc package
Bioconductor version: Development (3.21)
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] (ORCID:
Maintainer: Laurent Gatto <laurent.gatto at uclouvain.be>
citation("pRolocdata")
):
Installation
To install this package, start R (version "4.5") 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 | |
NEWS | Text |
Details
biocViews | Arabidopsis_thaliana_Data, Drosophila_melanogaster_Data, ExperimentData, Homo_sapiens_Data, MassSpectrometryData, Mus_musculus_Data, Proteome, StemCell |
Version | 1.45.0 |
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 | bandle |
Suggests Me | MSnbase, pRoloc, pRolocGUI, RforProteomics |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | pRolocdata_1.45.0.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/ |
Package Downloads Report | Download Stats |