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# CITATION.cff 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 "ggwas" in publications use:'
type: software
license: MIT
title: 'ggwas: Modern ''ggplot2'' Visualizations for Genome-Wide Association Studies'
version: 0.99.5
doi: 10.5281/zenodo.20815110
identifiers:
- type: doi
  value: 10.32614/CRAN.package.ggwas
abstract: Create publication-ready visualizations for genome-wide association studies.
  Provides 20 plot types including Manhattan, QQ, Miami, locus zoom, PheWAS, colocalization,
  fine-mapping, genetic correlation, SNP density, and density-signal comparison plots.
  Reads PLINK, REGENIE, GCTA, and GEMMA formats natively. All plot functions return
  'ggplot2' objects for full customization. Smart downsampling handles datasets with
  10 million+ variants.
authors:
- family-names: Czech
  given-names: Bartosz
  email: bartosz.w.czech@gmail.com
  orcid: https://orcid.org/0000-0002-9908-3007
preferred-citation:
  type: manual
  title: 'ggwas: Modern ggplot2 Visualizations for GWAS Summary Statistics'
  authors:
  - family-names: Czech
    given-names: Bartosz
    email: bartosz.w.czech@gmail.com
    orcid: https://orcid.org/0000-0002-9908-3007
  year: '2026'
  notes: R package version 0.99.2
  url: https://github.com/bczech/ggwas
  doi: 10.5281/zenodo.20815110
repository: https://biocstaging.r-universe.dev
repository-code: https://github.com/bczech/ggwas
commit: 10e028ecaa15759f10b7e0f18d52d4bcee424849
url: https://bczech.github.io/ggwas/
date-released: '2026-07-23'
contact:
- family-names: Czech
  given-names: Bartosz
  email: bartosz.w.czech@gmail.com
  orcid: https://orcid.org/0000-0002-9908-3007