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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 "epigraHMM" in publications use:'
type: software
license: MIT
title: 'epigraHMM: Epigenomic R-based analysis with hidden Markov models'
version: 1.13.0
abstract: epigraHMM provides a set of tools for the analysis of epigenomic data based
  on hidden Markov Models. It contains two separate peak callers, one for consensus
  peaks from biological or technical replicates, and one for differential peaks from
  multi-replicate multi-condition experiments. In differential peak calling, epigraHMM
  provides window-specific posterior probabilities associated with every possible
  combinatorial pattern of read enrichment across conditions.
authors:
- family-names: Baldoni
  given-names: Pedro
  email: pedrobaldoni@gmail.com
repository: https://bioc.r-universe.dev
date-released: '2019-12-10'
contact:
- family-names: Baldoni
  given-names: Pedro
  email: pedrobaldoni@gmail.com