# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "EMMA" in publications use:' type: software license: MIT title: 'EMMA: EMMA: Enrichment Methods Matter for enabling fully reproducible and provenance-aware pathway analysis' version: 0.99.3 doi: 10.32614/CRAN.package.EMMA abstract: EMMA is a package that provides a provenance-aware execution framework for functional enrichment analyses. It allows users to run enrichment analyses using existing tools and workflows while explicitly capturing analytical parameters during runtime, and returns the native enrichment results output together with structured metadata. authors: - family-names: Abassi given-names: Najla email: abassi.nejla96@gmail.com orcid: https://orcid.org/0000-0001-8357-0938 - family-names: Nedwed given-names: Annekathrin email: anneludt@uni-mainz.de orcid: https://orcid.org/0000-0002-2475-4945 - family-names: Marini given-names: Federico email: marinif@uni-mainz.de orcid: https://orcid.org/0000-0003-3252-7758 repository: https://biocstaging.r-universe.dev repository-code: https://github.com/imbeimainz/EMMA commit: a2c3514fd221534dfce21c0d6c7892c20a50e95c url: https://github.com/imbeimainz/EMMA date-released: '2026-05-20' contact: - family-names: Abassi given-names: Najla email: abassi.nejla96@gmail.com orcid: https://orcid.org/0000-0001-8357-0938