Protein ontology: Vocabulary for protein data

Sidhu, AS; Dillon, TS; Chang, E; Sidhu, B

Protein ontology: Vocabulary for protein data

Sidhu, AS Dillon, TS Chang, E Sidhu, B

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: Proceedings of Third International Conference On Information Technology And Applications, Vol 1, 2005, pp. 465 - 469
Issue Date:: 2005-01

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Field	Value	Language
dc.contributor.author	Sidhu, AS	en_US
dc.contributor.author	Dillon, TS	en_US
dc.contributor.author	Chang, E	en_US
dc.contributor.author	Sidhu, B	en_US
dc.contributor.editor	He, X	en_US
dc.contributor.editor	Hintz, T	en_US
dc.contributor.editor	Piccardi, M	en_US
dc.contributor.editor	Wu, Q	en_US
dc.contributor.editor	Huang, M	en_US
dc.contributor.editor	Tien, D	en_US
dc.date	2005-07-04	en_US
dc.date.issued	2005-01	en_US
dc.identifier.citation	Proceedings of Third International Conference On Information Technology And Applications, Vol 1, 2005, pp. 465 - 469	en_US
dc.identifier.isbn	0-7695-2316-1	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2348
dc.description.abstract	These Huge amounts of Protein Structure Data make it difficult to create explanatory and predictive models that are consistent with huge volume of data. Difficulty increase when large variety of heterogeneous approaches gathers data from multiple perspec	en_US
dc.publisher	IEEE	en_US
dc.relation.ispartof	Proceedings of Third International Conference On Information Technology And Applications, Vol 1	en_US
dc.relation.ispartof	International Conference on Information Technology and Applications	en_US
dc.relation.isbasedon	10.1109/ICITA.2005.223	en_US
dc.rights	© 2005 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	Protein ontology: Vocabulary for protein data	en_US
dc.type	Conference Proceeding
utslib.location	New Jersey, USA	en_US
utslib.location.activity	Sydney, Australia	en_US
utslib.for	080704 Information Retrieval and Web Search	en_US
utslib.for	080603 Conceptual Modelling	en_US
utslib.for	080608 Information Systems Development Methodologies	en_US
dc.location.activity	Sydney, Australia	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	New Jersey, USA	en_US
pubs.start-date	2005-07-04	en_US

Abstract:

These Huge amounts of Protein Structure Data make it difficult to create explanatory and predictive models that are consistent with huge volume of data. Difficulty increase when large variety of heterogeneous approaches gathers data from multiple perspec

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/2348