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Brief Bioinform. 2009 Mar;10(2):153-63. doi: 10.1093/bib/bbn056. Epub 2009 Feb 24.

Towards pharmacogenomics knowledge discovery with the semantic web.

Author information

1
Department of Biology, Carleton University, 1125 Colonel By Drive, Ottawa, Ontario, Canada K1S 5B6. michel_dumontier@carleton.ca

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.

PMID:
19240125
DOI:
10.1093/bib/bbn056
[Indexed for MEDLINE]

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