• DocumentCode
    2154748
  • 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
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    588
  • Lastpage
    592
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Based Medical Systems, 2006. CBMS 2006. 19th IEEE International Symposium on
  • Conference_Location
    Salt Lake City, UT
  • ISSN
    1063-7125
  • Print_ISBN
    0-7695-2517-1
  • Type

    conf

  • DOI
    10.1109/CBMS.2006.35
  • Filename
    1647634