Towards a Semantic Web Application: Ontology-Driven Ortholog Clustering Analysis
نویسندگان
چکیده
Ontology is the foundation of Semantic Web applications. The Clusters of Orthologous Groups (COG) system uses evolutionary relationships to cluster proteins from different genomes into different functional categories. In this study, we generated a COG Analysis Ontology (CAO), and used it to develop OntoCOG, an ontology-based Semantic Web application for COG-based gene set enrichment analysis. As a use case, OntoCOG is applied to a list of B. melitensis virulence factors retrieved from the Brucellosis Ontology (BO). This OntoCOG analysis confirms and expands current knowledge about B. melitensis virulence factors.
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تاریخ انتشار 2011