CITATION.cff

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cff-version: 1.2.0
title: >-
  Powering single-cell analyses in the browser with
  WebAssembly
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Aaron
    family-names: Lun
    name-particle: T.L.
    email: infinite.monkeys.with.keyboards@gmail.com
    affiliation: Genentech
    orcid: 'https://orcid.org/0000-0002-3564-4813'
  - given-names: Jayaram
    family-names: Kancherla
    email: jayaram.kancherla@gmail.com
    orcid: 'https://orcid.org/0000-0001-5855-5031'
    affiliation: Genentech
identifiers:
  - type: doi
    value: 10.21105/joss.05603
    description: JOSS
  - type: doi
    value: 10.1101/2022.03.02.482701
    description: bioRxiv
repository-code: 'https://github.com/kanaverse/kana'
url: 'https://www.kanaverse.org/kana/'
keywords:
  - single-cell
  - visualization
license: MIT
preferred-citation:
  type: software
  authors:
    - given-names: Aaron
      family-names: Lun
      name-particle: T.L.
      email: infinite.monkeys.with.keyboards@gmail.com
      affiliation: Genentech
      orcid: 'https://orcid.org/0000-0002-3564-4813'
    - given-names: Jayaram
      family-names: Kancherla
      email: jayaram.kancherla@gmail.com
      orcid: 'https://orcid.org/0000-0001-5855-5031'
      affiliation: Genentech
  doi: 10.21105/joss.05603
  journal: Journal of Open Source Software
  publisher: 
    name: The Open Journal
  title: Powering single-cell analyses in the browser with WebAssembly
  url: 'https://doi.org/10.21105/joss.05603'
  year: 2023