{
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  "Package": "EMMA",
  "Title": "EMMA: Enrichment Methods Matter for enabling fully reproducible\nand provenance-aware pathway analysis",
  "Version": "0.99.3",
  "Authors@R": "c(\nperson(\ngiven = \"Najla\", family = \"Abassi\", role = c(\"aut\", \"cre\"),\nemail = \"abassi.nejla96@gmail.com\",\ncomment = c(ORCID = \"0000-0001-8357-0938\")\n),\nperson(\ngiven = \"Annekathrin\", family = \"Nedwed\", role = c(\"aut\"),\nemail = \"anneludt@uni-mainz.de\",\ncomment = c(ORCID = \"0000-0002-2475-4945\")\n),\nperson(\ngiven = \"Federico\", family = \"Marini\", role = c(\"aut\"),\nemail = \"marinif@uni-mainz.de\",\ncomment = c(ORCID = \"0000-0003-3252-7758\")\n)\n)",
  "Description": "EMMA is a package that provides a provenance-aware\nexecution framework for functional enrichment analyses. It\nallows users to run enrichment analyses using existing tools\nand workflows while explicitly capturing analytical parameters\nduring runtime, and returns the native enrichment results\noutput together with structured metadata.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
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  "BugReports": "https://github.com/imbeimainz/EMMA/issues",
  "biocViews": "Software, Pathways, GO, KEGG, GeneSetEnrichment,\nImmunoOncology, Transcriptomics, SingleCell, GeneExpression,\nDifferentialExpression",
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  "Repository": "https://biocstaging.r-universe.dev",
  "Date/Publication": "2026-05-20 11:29:49 UTC",
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        "About the data",
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