DOI: 10.18129/B9.bioc.SubCellBarCode  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see SubCellBarCode.

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

Bioconductor version: 3.17

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>

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


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biocViews Classification, MassSpectrometry, Proteomics, Software
Version 1.16.0
In Bioconductor since BioC 3.9 (R-3.6) (4.5 years)
License GPL-2
Depends R (>= 3.6)
Imports Rtsne, scatterplot3d, caret, e1071, ggplot2, gridExtra, networkD3, ggrepel, graphics, stats,, AnnotationDbi
Suggests knitr, rmarkdown, BiocStyle
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