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  "Title": "Prioritization of potentially bioactive metabolic features from\nepidemiological and environmental metabolomics datasets",
  "Authors@R": "c(\nperson(\"Amrisha\", \"Bhosle\", email = \"amrishabhosle@gmail.com\", role = \"aut\"),\nperson(\"Ludwig\", \"Geistlinger\", email = \"Ludwig_Geistlinger@hms.harvard.edu\", role = \"aut\"),\nperson(\"Sagun\", \"Maharjan\", email = \"sagunmaharjann@gmail.com\", role = c(\"aut\", \"cre\"))\n)",
  "Description": "Macarron is a workflow for the prioritization of\npotentially bioactive metabolites from metabolomics\nexperiments. Prioritization integrates strengths of evidences\nof bioactivity such as covariation with a known metabolite,\nabundance relative to a known metabolite and association with\nan environmental or phenotypic indicator of bioactivity.\nBroadly, the workflow consists of stratified clustering of\nmetabolic spectral features which co-vary in abundance in a\ncondition, transfer of functional annotations, estimation of\nrelative abundance and differential abundance analysis to\nidentify associations between features and phenotype/condition.",
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  "biocViews": "Sequencing, Metabolomics, Coverage, FunctionalPrediction,\nClustering",
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