Unification of Protein Data and Knowledge Sources
Advances in technology and the growth of life sciences are generating ever increasing amounts of data. High-throughput techniques are regularly used to capture thousands of data points in an experiment. The results of these experiments normally end up in scientific databases and publications. Although there have been concerted efforts to capture more scientific data in specialist databases, it is generally acknowledged that only 20 per cent of biological knowledge and data is available in a structured format. The remaining 80 per cent of biological information is hidden in the unstructured scientific results and texts. Protein Ontology (PO) discussed in this paper provides a common structured vocabulary for this structured and unstructured information and provides researchers a medium to share knowledge in proteomics domain. It consists of concepts, which are data descriptors for proteomics data and the relations among these concepts. Protein Ontology provides description for protein domains that can be used to describe proteins in any organism.
KeywordsGene Ontology Protein Data Prion Protein Knowledge Source Semantic Relationship
Unable to display preview. Download preview PDF.
- 1.GO Consortium. Creating the Gene Ontology Resource: Design and Implementation. Genome Research 11, 1425–1433 (2001) Google Scholar
- 2.Nelson, S.J., Schopen, M., et al.: The MeSH Translation Maintenance System: Structure, Interface Design, and Implementation. In: Fieschi, M., et al. (eds.) Proceedings of the 11th World Congress on Medical Informatics, September 7-11, 2004, pp. 67–69. IOS Press, Amsterdam (2004)Google Scholar
- 3.Sidhu, A.S., Dillon, T.S., et al.: Ontology for Data Integration in Protein Informatics. In: Ma, Z., Chen, J.Y. (eds.) Database Modeling in Biology: Practices and Challenges, Springer, New York (2006)Google Scholar
- 4.Sidhu, A.S., Dillon, T.S., et al.: Protein Ontology Project: 2006 Updates (Invited Paper). In: Zanasi, A., Brebbia, C.A., Ebecken, N.F.F. (eds.) Data Mining and Information Engineering 2006, Prague, Czech Republic, WIT Press (2006)Google Scholar
- 5.Sidhu, A.S., Dillon, T.S., et al.: Ontological Foundation for Protein Data Models. In: First IFIP WG 2.12 & WG 12.4 International Workshop on Web Semantics (SWWS 2005) Conjunction with On The Move Federated Conferences (OTM 2005), Agia Napa, Cyprus. LNCS, Springer, Heidelberg (2005)Google Scholar
- 7.GO Consortium and S. E. Lewis. Gene Ontology: looking backwards and forwards. Genome Biology 6(1), 103.1–103.4 (2004) Google Scholar