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dc.contributor.authorSidhu, Amandeep
dc.contributor.authorDillon, Tharam S.
dc.contributor.authorChang, Elizabeth
dc.date.accessioned2017-01-30T13:54:24Z
dc.date.available2017-01-30T13:54:24Z
dc.date.created2008-11-12T23:33:01Z
dc.date.issued2007
dc.identifier.citationSidhu, Amandeep S. and Dillon, Tharam S. and Chang, Elizabeth. 2007. Protein ontology, in Chen, J.Y. and Sidhu, A.S. (ed), Biological database modeling, pp. 63-80. Norwood, MA, USA: Artech House.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/36218
dc.description.abstract

Two factors dominate current developments in structural bioinformatics, especially in protein informatics and related areas: (1) the amount of raw data is increasing, very rapidly; and (2) successful application of data to biomedical research requires carefully and continuously curated and accurately annotated protein databanks. In this chapter, we introduce the concepts for annotating protein data using our protein ontology. We first describe and review existing approaches for protein annotation.We then describe the advantages of semantic integration of protein data using Web ontology language, in comparison to annotating using automatic search and analyzing using text mining. The rest of chapter is devoted to the use of the protein ontology for the annotation of protein databases. The protein ontology is available at http://www.proteinontology.info/.

dc.publisherArtech House
dc.titleProtein ontology
dc.typeBook Chapter
dcterms.source.startPage63
dcterms.source.endPage80
dcterms.source.titleBiological database modeling
dcterms.source.isbn9781596932586
dcterms.source.placeNorwood, MA, USA
dcterms.source.chapter5
curtin.note

This is a publisher link: http://www.artechhouse.com/Detail.aspx?strBookId=1288

curtin.departmentCentre for Extended Enterprises and Business Intelligence
curtin.identifierEPR-2381
curtin.accessStatusOpen access
curtin.facultyCurtin Business School
curtin.facultySchool of Information Systems


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