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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 "MethReg" in publications use:'
type: software
license: GPL-3.0-only
title: 'MethReg: Assessing the regulatory potential of DNA methylation regions or
  sites on gene transcription'
version: 1.15.0
doi: 10.1093/nar/gkac030
identifiers:
- type: doi
  value: 10.32614/CRAN.package.MethReg
abstract: Epigenome-wide association studies (EWAS) detects a large number of DNA
  methylation differences, often hundreds of differentially methylated regions and
  thousands of CpGs, that are significantly associated with a disease, many are located
  in non-coding regions. Therefore, there is a critical need to better understand
  the functional impact of these CpG methylations and to further prioritize the significant
  changes. MethReg is an R package for integrative modeling of DNA methylation, target
  gene expression and transcription factor binding sites data, to systematically identify
  and rank functional CpG methylations. MethReg evaluates, prioritizes and annotates
  CpG sites with high regulatory potential using matched methylation and gene expression
  data, along with external TF-target interaction databases based on manually curation,
  ChIP-seq experiments or gene regulatory network analysis.
authors:
- family-names: Silva
  given-names: Tiago
  email: tiagochst@gmail.com
  orcid: https://orcid.org/0000-0003-1343-6850
- family-names: Wang
  given-names: Lily
  email: lily.wangg@gmail.com
preferred-citation:
  type: article
  title: 'MethReg: estimating regulatory potential of DNA methylation in gene transcription'
  authors:
  - name: Silva
  - family-names: C
    given-names: Tiago
  - name: Young
  - family-names: I
    given-names: Juan
  - name: Martin
  - family-names: R
    given-names: Eden
  - name: Chen
  - family-names: Steven
    given-names: X
  - name: Wang
  - name: Lily
  journal: Nucleic Acids Research
  year: '2022'
  issn: 0305-1048
  doi: 10.1093/nar/gkac030
  url: https://doi.org/10.1093/nar/gkac030
  notes: gkac030
repository: https://bioc.r-universe.dev
repository-code: https://github.com/TransBioInfoLab/MethReg/issues/
commit: aeb2a7e48104729256e2d54db07a56f0c8b20ae5
url: https://github.com/TransBioInfoLab/MethReg/issues/
contact:
- family-names: Silva
  given-names: Tiago
  email: tiagochst@gmail.com
  orcid: https://orcid.org/0000-0003-1343-6850