EGO: A Biomedical Ontology for Integrative Epigenome Representation and Analysis
نویسندگان
چکیده
Epigenomics is crucial to understand biological mechanisms beyond genome DNA. To better represent epigenomic knowledge and support data integration, we developed a prototype Epigenome Ontology (EGO). EGO top level hierarchy and design pattern are provided with a use case illustration. EGO is proposed to be used for statistically analyzing enriched epigenomic features based on given sequence data input using statistical methods. Keywords—Epigenome; ontology; EGO; enrichment analysis; ENCODE; ChIP-seq
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