CITATION.cff

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title: >-
  Genomic Region Set & (Ranked) Gene Set Enrichment Analysis
  & Visualization Workflow for Human and Mouse Genomes.
message: >-
  If you use this software, please cite it using the
  metadata from this file.
type: software
authors:
  - given-names: Stephan
    family-names: Reichl
    orcid: 'https://orcid.org/0000-0001-8555-7198'
    affiliation: CeMM Research Center for Molecular Medicine
  - given-names: Daria
    family-names: Romanovskaia
    orcid: 'https://orcid.org/0000-0003-2831-0919'
    affiliation: CeMM Research Center for Molecular Medicine
  - given-names: Rob
    family-names: ter Horst
    orcid: 'https://orcid.org/0000-0003-0576-5873'
    affiliation: CeMM Research Center for Molecular Medicine
  - given-names: Christoph
    family-names: Bock
    orcid: 'https://orcid.org/0000-0001-6091-3088'
    affiliation: CeMM Research Center for Molecular Medicine
identifiers:
  - type: doi
    value: 10.5281/zenodo.7810621
    description: >-
      This DOI represents all versions, and will always
      resolve to the latest one.
repository-code: 'https://github.com/epigen/enrichment_analysis'
url: 'https://epigen.github.io/enrichment_analysis/'
abstract: >-
  Given human (hg19 or hg38) or mouse (mm9 or mm10) based
  genomic region sets (i.e., region sets) and/or (ranked)
  gene sets of interest and respective background
  region/gene sets, the enrichment of terms within the
  configured databases is determined using LOLA, GREAT,
  GSEApy (over-representation analysis (ORA) & preranked
  GSEA), pycisTarget, RcisTarget, before aggregation and
  visualization.
keywords:
  - Bioinformatics
  - Workflow
  - Enrichment Analysis
  - Epigenetics
  - Visualization
  - Snakemake
license: MIT