- Home
- Bioconductor 3.23
- Software Packages
- SubCellBarCode (development version)
SubCellBarCode
This is the development version of SubCellBarCode; for the stable release version, see SubCellBarCode.
SubCellBarCode: Integrated workflow for robust mapping and visualizing whole human spatial proteome
Bioconductor version: Development (3.23)
Mass-Spectrometry based spatial proteomics have enabled the proteome-wide mapping of protein subcellular localization (Orre et al. 2019, Molecular Cell). SubCellBarCode R package robustly classifies proteins into corresponding subcellular localization.
Author: Taner Arslan
Maintainer: Taner Arslan <taner.arslan at ki.se>
citation("SubCellBarCode")):
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("SubCellBarCode")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SubCellBarCode")
Details
See More
Package Archives
Follow Installation instructions to use this package in your R session.