title: Towards pharmacogenomics knowledge discovery with the semantic web.
abstract: Pharmacogenomics aims to understand pharmacological response with respect to genetic variation. Essential to the delivery of better health care is the use of pharmacogenomics knowledge to answer questions about therapeutic, pharmacological or genetic aspects. Several XML markup languages have been developed to capture pharmacogenomic and related information so as to facilitate data sharing. However, recent advances in semantic web technologies have presented exciting new opportunities for pharmacogenomics knowledge discovery by representing the information with machine understandable semantics. Progress in this area is illustrated with reference to the personalized medicine project that aims to facilitate pharmacogenomics knowledge discovery through intuitive knowledge capture and sophisticated question answering using automated reasoning over expressive ontologies.
authors.affiliation: Department of Biology, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario, Canada K1S 5B6. michel_dumontier@carleton.ca
authors.forename: Michel
authors.initials: M
authors.lastname: Dumontier
authors.forename: Natalia
authors.initials: N
authors.lastname: Villanueva-Rosales
mesh_terms: D016208:Databases, Factual; D003863:Depression / Q000188:drug therapy; D015195:Drug Design; D006801:Humans; D033181:Information Dissemination / Q000379:methods; D016247:Information Storage and Retrieval / Q000379:methods; D020407:Internet; D051188:Knowledge Bases; D010597:Pharmacogenetics; D012660:Semantics; D018511:Systems Integration; D009626:Terminology as Topic; D018875:Vocabulary, Controlled