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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 "gcapc" in publications use:'
type: software
license: GPL-3.0-only
title: 'gcapc: GC Aware Peak Caller'
version: 1.36.0
doi: 10.1101/gr.220673.117
identifiers:
- type: doi
  value: 10.32614/CRAN.package.gcapc
abstract: Peak calling for ChIP-seq data with consideration of potential GC bias in
  sequencing reads. GC bias is first estimated with generalized linear mixture models
  using effective GC strategy, then applied into peak significance estimation.
authors:
- family-names: Teng
  given-names: Mingxiang
  email: tengmx@gmail.com
- family-names: Irizarry
  given-names: Rafael A.
preferred-citation:
  type: article
  title: Accounting for GC-content bias reduces systematic errors and batch effects
    in ChIP-Seq data.
  authors:
  - family-names: Teng
    given-names: Mingxiang
    email: tengmx@gmail.com
  - family-names: Irizarry
    given-names: Rafael A.
  journal: Genome Research
  doi: 10.1101/gr.220673.117
  year: '2017'
repository: https://bioc-release.r-universe.dev
repository-code: https://github.com/tengmx/gcapc
commit: 8512c5cf23413c0748182ff23a89a5c64d43e7d0
url: https://github.com/tengmx/gcapc
date-released: '2026-04-28'
contact:
- family-names: Teng
  given-names: Mingxiang
  email: tengmx@gmail.com