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Physical Sciences and Mathematics Commons

Open Access. Powered by Scholars. Published by Universities.®

2007

Databases and Information Systems

Kno.e.sis Publications

Entrez Gene

Articles 1 - 2 of 2

Full-Text Articles in Physical Sciences and Mathematics

An Experiment In Integrating Large Biomedical Knowledge Resources With Rdf: Application To Associating Genotype And Phenotype Information, Satya S. Sahoo, Olivier Bodenreider, Kelly Zeng, Amit P. Sheth May 2007

An Experiment In Integrating Large Biomedical Knowledge Resources With Rdf: Application To Associating Genotype And Phenotype Information, Satya S. Sahoo, Olivier Bodenreider, Kelly Zeng, Amit P. Sheth

Kno.e.sis Publications

Bridging between genotype and phenotype is generally achieved through the integration of knowledge sources such as Entrez Gene (EG), Online Mendelian Inheritance in Man (OMIM) and the Gene Ontology (GO). Traditionally, such integration implies manual effort or the development of customized software. In this paper, we demonstrate how the Resource Description Framework (RDF) can be used to represent and integrate these resources and support complex queries over the unified resource. We illustrate the effectiveness of our approach by answering a real-world biomedical query linking a specific molecular function, glycosyltransferase, to the disorder congenital muscular dystrophy, which potentially forms a new …


From “Glycosyltransferase” To “Congenital Muscular Dystrophy”: Integrating Knowledge From Ncbi Entrez Gene And The Gene Ontology, Satya S. Sahoo, Kelly Zeng, Olivier Bodenreider, Amit P. Sheth Jan 2007

From “Glycosyltransferase” To “Congenital Muscular Dystrophy”: Integrating Knowledge From Ncbi Entrez Gene And The Gene Ontology, Satya S. Sahoo, Kelly Zeng, Olivier Bodenreider, Amit P. Sheth

Kno.e.sis Publications

Entrez Gene (EG), Online Mendelian Inheritance in Man (OMIM) and the Gene Ontology (GO) are three complementary knowledge resources that can be used to correlate genomic data with disease information. However, bridging between genotype and phenotype through these resources currently requires manual effort or the development of customized software. In this paper, we argue that integrating EG and GO provides a robust and flexible solution to this problem. We demonstrate how the Resource Description Framework (RDF) developed for the Semantic Web can be used to represent and integrate these resources and enable seamless access to them as a unified resource. …