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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 "pfamAnalyzeR" in publications use:'
type: software
license: MIT
title: 'pfamAnalyzeR: Identification of domain isotypes in pfam data'
version: 1.5.0
doi: 10.1101/2022.08.12.503740
abstract: Protein domains is one of the most import annoation of proteins we have
  with the Pfam database/tool being (by far) the most used tool. This R package enables
  the user to read the pfam prediction from both webserver and stand-alone runs into
  R. We have recently shown most human protein domains exist as multiple distinct
  variants termed domain isotypes. Different domain isotypes are used in a cell, tissue,
  and disease-specific manner. Accordingly, we find that domain isotypes, compared
  to each other, modulate, or abolish the functionality of a protein domain. This
  R package enables the identification and classification of such domain isotypes
  from Pfam data.
authors:
- family-names: Vitting-Seerup
  given-names: Kristoffer
  email: k.vitting.seerup@gmail.com
  orcid: https://orcid.org/0000-0002-6450-0608
preferred-citation:
  type: article
  title: Most protein domains exist as multiple variants with distinct structure and
    function
  authors:
  - family-names: Vitting-Seerup
    given-names: Kristoffer
    email: k.vitting.seerup@gmail.com
    orcid: https://orcid.org/0000-0002-6450-0608
  journal: BioRxiv
  year: '2022'
  doi: 10.1101/2022.08.12.503740
  url: https://doi.org/10.1101/2022.08.12.503740
repository: https://bioc.r-universe.dev
repository-code: https://github.com/kvittingseerup/pfamAnalyzeR
url: https://github.com/kvittingseerup/pfamAnalyzeR
contact:
- family-names: Vitting-Seerup
  given-names: Kristoffer
  email: k.vitting.seerup@gmail.com
  orcid: https://orcid.org/0000-0002-6450-0608