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Bioconductor - SubCellBarCode

SubCellBarCode

This is the released version of SubCellBarCode; for the devel version, see SubCellBarCode.

SubCellBarCode: Integrated workflow for robust mapping and visualizing whole human spatial proteome

Bioconductor version: Release (3.21)

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 (from within R, enter citation("SubCellBarCode")): Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

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 biocViews Classification, MassSpectrometry, Proteomics, Software Version 1.24.0 In Bioconductor since BioC 3.9 (R-3.6) (6 years) License GPL-2 Depends R (>= 3.6) Imports Rtsne, scatterplot3d, caret, e1071, ggplot2, gridExtra, networkD3, ggrepel, graphics, stats, org.Hs.eg.db, AnnotationDbi System Requirements URL See More Package Archives

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

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