Advances in protein ontology project

Sidhu, Amandeep; Dillon, Tharam S.; Chang, Elizabeth

doi:10.1109/CBMS.2006.35

116500_Advances%20in%20protein%20ontology%20PID%20116500.pdf (186.1Kb)

Access Status

Open access

Authors

Sidhu, Amandeep

Dillon, Tharam S.

Chang, Elizabeth

Date

2006

Type

Conference Paper

Metadata

Show full item record

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.

Source Title

Proceedings of the Nineteenth IEEE International Symposium on Computer-Based Medical Systems

Source Conference

19th IEEE International Symposium on Computer-Based Medical Systems (CBMS)

DOI

10.1109/CBMS.2006.35

ISSN

1063-7125

Faculty

Curtin Business School

Centre for Extended Enterprises and Business Intelligence

School of Information Systems

Remarks

Copyright © 2006 IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

URI

http://hdl.handle.net/20.500.11937/12084

Collection

Curtin Research Publications

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.