# --------------------------------------------
# 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 "crupR" in publications use:'
type: software
license: GPL-3.0-only
title: 'crupR: An R package to predict condition-specific enhancers from ChIP-seq
  data'
version: 1.5.0
doi: 10.1186/s13059-019-1860-7
identifiers:
- type: doi
  value: 10.32614/CRAN.package.crupR
abstract: 'An R package that offers a workflow to predict condition-specific enhancers
  from ChIP-seq data. The prediction of regulatory units is done in four main steps:
  Step 1 - the normalization of the ChIP-seq counts. Step 2 - the prediction of active
  enhancers binwise on the whole genome. Step 3 - the condition-specific clustering
  of the putative active enhancers. Step 4 - the detection of possible target genes
  of the condition-specific clusters using RNA-seq counts.'
authors:
- family-names: Akbari Omgba
  given-names: Persia
  email: omgba@molgen.mpg.de
- family-names: Laupert
  given-names: Verena
- family-names: Vingron
  given-names: Martin
  email: vingron@molgen.ppg.com
preferred-citation:
  type: article
  title: 'CRUP: a comprehensive framework to predict condition-specific regulatory
    units'
  authors:
  - family-names: Heinrich
    given-names: Verena
  - family-names: Ramisch
    given-names: Anna
  - family-names: Vingron
    given-names: Martin
    email: vingron@molgen.ppg.com
  year: '2019'
  journal: Genome Biology
  doi: 10.1186/s13059-019-1860-7
  volume: '20'
  issue: '1'
  start: '227'
repository: https://bioc.r-universe.dev
repository-code: https://github.com/akbariomgba/crupR
commit: 141adc465a945bee7ac46824acca86892ad5c6d6
url: https://github.com/akbariomgba/crupR
date-released: '2026-04-28'
contact:
- family-names: Akbari Omgba
  given-names: Persia
  email: omgba@molgen.mpg.de