Abstract

<p>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.</p>

Year of Publication
2016
Conference Name
International Conference on Biomedical Ontology and BioCreative (ICBO BioCreative 2016)
Date Published
11/30/16
Publisher
CEUR-ws.org Volume 1747
Other Numbers
Vol-1747|urn:nbn:de:0074-1747-1
URL
http://ceur-ws.org/Vol-1747/IP04_ICBO2016.pdf
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