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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 "ClustIRR" in publications use:'
type: software
license: GPL-3.0-only
title: 'ClustIRR: Clustering of Immune Receptor Repertoires'
version: 1.10.0
doi: 10.32614/CRAN.package.ClustIRR
abstract: ClustIRR analyzes repertoires of B- and T-cell receptors. It starts by identifying
  communities of immune receptors with similar specificities, based on the sequences
  of their complementarity-determining regions (CDRs). Next, it employs a Bayesian
  probabilistic models to quantify differential community occupancy (DCO) between
  repertoires, allowing the identification of expanding or contracting communities
  in response to e.g. infection or cancer treatment.
authors:
- family-names: Kitanovski
  given-names: Simo
  email: simokitanovski@gmail.com
  orcid: https://orcid.org/0000-0003-2909-5376
- family-names: Wollek
  given-names: Kai
  email: kai.wollek@uni-duisburg-essen.de
  orcid: https://orcid.org/0009-0008-5941-9160
repository: https://bioc-release.r-universe.dev
repository-code: https://github.com/snaketron/ClustIRR
commit: 0634e77846702f14a6f723e03fa2c9fa662c6260
url: https://github.com/snaketron/ClustIRR
date-released: '2026-04-28'
contact:
- family-names: Kitanovski
  given-names: Simo
  email: simokitanovski@gmail.com
  orcid: https://orcid.org/0000-0003-2909-5376