Title :
Advances in Protein Ontology Project
Author :
Sidhu, Amandeep S. ; Dillon, Tharam S. ; Chang, Elizabeth
Author_Institution :
Fac. of Inf. Technol., Univ. of Technol., Sydney, NSW
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
Keywords :
Internet; biology computing; data mining; molecular biophysics; molecular configurations; ontologies (artificial intelligence); proteins; World Wide Web; data integration; data integration methodologies; data mining algorithms; mathematical models; protein data representation; protein expression; protein function; protein ontology project; protein structure; proteomics; structured protein data specification; Algorithm design and analysis; Data analysis; Data mining; Mathematical model; Ontologies; Protein engineering; Proteomics; Software algorithms; Software standards; Web sites;
Conference_Titel :
Computer-Based Medical Systems, 2006. CBMS 2006. 19th IEEE International Symposium on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7695-2517-1
DOI :
10.1109/CBMS.2006.35