Use of protein ontology to enable data exchange for complex proteomic experiments

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

doi:10.1109/CBMS.2008.145

116073_Useofproteinontology04562009.pdf (291.2Kb)

Access Status

Open access

Authors

Sidhu, Amandeep

Dillon, Tharam S.

Chang, Elizabeth

Date

2008

Type

Conference Paper

Metadata

Show full item record

Citation

Sidhu, Amandeep and Dillon, Tharam and Chang, Elizabeth. 2008. Use of protein ontology to enable data exchange for complex proteomic experiments, in Puuronen, S. and Pechenizkiy, M. and Tsymbal, M. and Lee, D.J. (ed), 21st IEEE International Symposium on Computer Based Medical Systems, Jun 17 2008, pp. 314-317. Jyvaskyla, Finland: Institute of Electrical and Electronics Engineers (IEEE) Computer Society

Source Title

Proceedings of 21st IEEE international symposium on computer based medical systems (CBMS 2008)

Source Conference

21st IEEE International Symposium on Computer Based Medical Systems (CBMS 2008)

DOI

10.1109/CBMS.2008.145

ISBN

9780769531656

Faculty

Curtin Business School

School of Economics and Finance

School

Centre for Extended Enterprises and Business Intelligence

Remarks

Copyright © 2008 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/20.500.11937/35266

Collection

Curtin Research Publications

Abstract

Ontologies and controlled vocabularies are being established by many groups to provide roadmaps through the confused mass of data currently being generated from increasingly large-scale experimental biological experiments. The world of protein chemistry is no exception to this rule, with Protein Ontology (PO) having lead the field by providing a framework in which individual molecules and complexes can be defined by their structure, function and cellular location. PO performs searches across the protein databases using a standard nomenclature consistent to all entries.