# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "HiCDOC" in publications use:'
type: software
license: LGPL-3.0-only
title: 'HiCDOC: A/B compartment detection and differential analysis'
version: 1.7.0
doi: 10.32614/CRAN.package.HiCDOC
abstract: 'HiCDOC normalizes intrachromosomal Hi-C matrices, uses unsupervised learning
  to predict A/B compartments from multiple replicates, and detects significant compartment
  changes between experiment conditions. It provides a collection of functions assembled
  into a pipeline to filter and normalize the data, predict the compartments and visualize
  the results. It accepts several type of data: tabular `.tsv` files, Cooler `.cool`
  or `.mcool` files, Juicer `.hic` files or HiC-Pro `.matrix` and `.bed` files.'
authors:
- family-names: Cyril
  given-names: Kurylo
  email: cyril.kurylo@inrae.fr
- family-names: Matthias
  given-names: Zytnicki
  email: matthias.zytnicki@inrae.fr
- family-names: Sylvain
  given-names: Foissac
  email: sylvain.foissac@inrae.fr
- family-names: Élise
  given-names: Maigné
  email: elise.maigne@inrae.fr
repository: https://bioc.r-universe.dev
repository-code: https://github.com/mzytnicki/HiCDOC
commit: 7216e6511b79ec93cc86407fdf873044fa98cd9f
url: https://github.com/mzytnicki/HiCDOC
date-released: '2022-11-30'
contact:
- family-names: Élise
  given-names: Maigné
  email: elise.maigne@inrae.fr