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dc.contributor.authorSidhu, Amandeep
dc.contributor.authorBellgard, M.
dc.contributor.editorAmandeep S. Sidhu, Tharam S. Dillon
dc.date.accessioned2017-01-30T15:23:23Z
dc.date.available2017-01-30T15:23:23Z
dc.date.created2010-03-11T20:03:42Z
dc.date.issued2009
dc.identifier.citationSidhu, Amandeep and Bellgard, Matthew. 2009. Protein Data Integration Problem, in Amandeep S. Sidhu, Tharam S. Dillon (ed), Biomedical Data and Applications. pp. 55-69. Heidelberg: Springer.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/45796
dc.identifier.doi10.1007/978-3-642-02193-0_4
dc.description.abstract

In this chapter, we consider the challenges of information integration in proteomics from the prospective of researchers using information technology as an integral part of their discovery process. Specifically, data integration, meta-data specification, data provenance and data quality, and ontology are discussed here. These are the fundamental problems that need to be solved by the bioinformatics community so that modern information technology can have a deeper impact on the progress of biological discovery.

dc.publisherSpringer
dc.titleProtein Data Integration Problem
dc.typeBook Chapter
dcterms.source.startPage55
dcterms.source.endPage69
dcterms.source.titleBiomedical Data and Applications
dcterms.source.isbn9783642021923
dcterms.source.placeHeidelberg
dcterms.source.chapter14
curtin.note

The original publication is available at : http://www.springerlink.com

curtin.departmentDigital Ecosystems and Business Intelligence Institute (DEBII)
curtin.accessStatusFulltext not available
curtin.facultyCurtin Business School
curtin.facultyThe Digital Ecosystems and Business Intelligence Institute (DEBII)


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