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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 "chipseqDB" in publications use:'
type: software
license: Artistic-2.0
title: 'chipseqDB: A Bioconductor Workflow to Detect Differential Binding in ChIP-seq
  Data'
version: 1.36.0
doi: 10.12688/f1000research.7016.2
abstract: Describes a computational workflow for performing a DB analysis with sliding
  windows. The aim is to facilitate the practical implementation of window-based DB
  analyses by providing detailed code and expected output. The workflow described
  here applies to any ChIP-seq experiment with multiple experimental conditions and
  multiple biological samples in one or more of the conditions. It detects and summarizes
  DB regions between conditions in a de novo manner, i.e., without making any prior
  assumptions about the location or width of bound regions. Detected regions are then
  annotated according to their proximity to genes.
authors:
- family-names: Lun
  given-names: Aaron
  email: infinite.monkeys.with.keyboards@gmail.com
- family-names: Smyth
  given-names: Gordon
preferred-citation:
  type: article
  title: 'From reads to regions: a Bioconductor workflow to detect differential binding
    in ChIP-seq data'
  authors:
  - family-names: Lun
    given-names: Aaron T. L.
  - family-names: Smyth
    given-names: Gordon K.
  journal: F1000Res.
  year: '2016'
  volume: '4'
  doi: 10.12688/f1000research.7016.2
  start: '1080'
repository: https://bioconductor.org/
commit: 1721b4e548fe091871d53f9964ddf0abbe6fda54
url: https://www.bioconductor.org/help/workflows/chipseqDB/
date-released: '2020-11-25'
contact:
- family-names: Lun
  given-names: Aaron
  email: infinite.monkeys.with.keyboards@gmail.com