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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "SubCellBarCode" in publications use:'
type: software
license: GPL-2.0-only
title: 'SubCellBarCode: SubCellBarCode: Integrated workflow for robust mapping and
  visualizing whole human spatial proteome'
version: 1.21.0
abstract: 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.
authors:
- family-names: Arslan
  given-names: Taner
  email: taner.arslan@ki.se
repository: https://bioc.r-universe.dev
contact:
- family-names: Arslan
  given-names: Taner
  email: taner.arslan@ki.se