Advances in protein ontology project
dc.contributor.author | Sidhu, Amandeep | |
dc.contributor.author | Dillon, Tharam S. | |
dc.contributor.author | Chang, Elizabeth | |
dc.contributor.editor | Lee, D.J. | |
dc.contributor.editor | Nutter, B. | |
dc.contributor.editor | Antani, S. | |
dc.contributor.editor | Mitra, S. | |
dc.contributor.editor | Archibald, J. | |
dc.date.accessioned | 2017-01-30T11:28:39Z | |
dc.date.available | 2017-01-30T11:28:39Z | |
dc.date.created | 2009-03-05T00:54:21Z | |
dc.date.issued | 2006 | |
dc.identifier.citation | Sidhu, Amandeep S. and Dillon, Tharam S. and Chang, Elizabeth. 2006. Advances in protein ontology project, in Lee, D.J. and Nutter, B. and Antani, S. and Mitra, S. and Archibald, J. (ed), 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS), Jun 22 2006, pp. 588-592. Utah, USA: IEEE Computer Society. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/12084 | |
dc.identifier.doi | 10.1109/CBMS.2006.35 | |
dc.description.abstract |
Advances in proteomics and protein expression techniques have lead to the elucidation of large amounts of protein data. Various data mining algorithms and mathematical models provide methods for analyzing this data; however, there are two issues that need to be addressed: (1) the need for standards for defining protein data description and exchange formats so they can be exchanged across the World Wide Web, and also read into data mining software in a consistent format and (2) eliminating errors which arise with the data integration methodologies for complex queries. Protein Ontology is designed to meet these needs by providing a structured protein data specification for Protein Data Representation. Protein Ontology is a standard for representing protein data in a way that helps in defining data integration and data mining models for Protein Structure and Function. In this paper we summarize the structure of Protein Ontology we developed earlier, its current applications to various protein families, and its future development. | |
dc.publisher | IEEE Computer Society Press | |
dc.subject | protein data representation | |
dc.subject | data mining | |
dc.subject | ontologies | |
dc.subject | protein structure | |
dc.subject | protein data | |
dc.subject | protein families | |
dc.subject | protein ontology project | |
dc.subject | ontology | |
dc.subject | protein ontologies | |
dc.subject | protein ontology | |
dc.subject | proteomics | |
dc.title | Advances in protein ontology project | |
dc.type | Conference Paper | |
dcterms.source.startPage | 588 | |
dcterms.source.endPage | 592 | |
dcterms.source.issn | 1063-7125 | |
dcterms.source.title | Proceedings of the Nineteenth IEEE International Symposium on Computer-Based Medical Systems | |
dcterms.source.series | Proceedings of the Nineteenth IEEE International Symposium on Computer-Based Medical Systems | |
dcterms.source.conference | 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS) | |
dcterms.source.conference-start-date | 22 Jun 2006 | |
dcterms.source.conferencelocation | Salt Lake City, Utah, USA | |
dcterms.source.place | USA | |
curtin.note |
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curtin.accessStatus | Open access | |
curtin.faculty | Curtin Business School | |
curtin.faculty | Centre for Extended Enterprises and Business Intelligence | |
curtin.faculty | School of Information Systems |