Translational research combining orthologous genes and human diseases with the OGOLOD dataset

Article type: Research Article

Authors: Miñarro-Giménez, José Antonio^; | Egaña Aranguren, Mikel^; | Villazón-Terrazas, Boris^; | Fernández Breis, Jesualdo Tomás

Affiliations: School of Computer Science, University of Murcia (UM), Spain | Biological Informatics Group, Centre for Plant Biotechnology and Genomics (CBGP), Technical University of Madrid (UPM), Spain | iSOCO, Avda. Partenón 16-18, 28042, Madrid, Spain | Ontology Engineering Group (OEG), School of Computer Science, Technical University of Madrid (UPM), Spain

Note: [] Corresponding author. E-mail: jose.minya@gmail.com.

Abstract: OGOLOD is a Linked Open Data dataset derived from different biomedical resources by an automated pipeline, using a tailored ontology as a scaffold. The key contribution of OGOLOD is that it links, in new RDF triples, genetic human diseases and orthologous genes, paving the way for a more efficient translational biomedical research exploiting the Linked Open Data cloud.

Keywords: Linked Open Data, Linked Data, orthologous genes, human genetic disease, translational research, biomedicine, RDF, SPARQL, OWL, ontology

DOI: 10.3233/SW-130109

Journal: Semantic Web, vol. 5, no. 2, pp. 145-149, 2014