• DocumentCode
    3454230
  • Title

    Can the Grid help to solve the data integration problems in molecular biology?

  • Author

    Sturgeon, Brian ; McCourt, Damian ; Cowper, John ; Palmer, Fiona ; Mcclean, Sally ; Dubitzky, Werner

  • Author_Institution
    Sch. of Biomed. Sci., Univ. of Ulster, Ireland
  • fYear
    2003
  • fDate
    12-15 May 2003
  • Firstpage
    594
  • Lastpage
    600
  • Abstract
    Molecular biology is increasingly relying on globally distributed information repositories. The quality and performance of research and development in this field will depend on highly flexible, performant and intuitive ways of accessing and integrating these resources into local information processing environments. In contrast to many ongoing Grid developments, the molecular biology community requires high-informational as opposed to high-performance computing Grids. This paper outlines a general distributed informational computing scenario in the context of molecular biology. It focuses on information integration (data warehousing) and data mining as two crucial Grid methodologies of future molecular biology computing environments. The presented scenario raises a number of questions, as the basis for discussion, on the role of emerging Grid technologies.
  • Keywords
    biology computing; data mining; data warehouses; grid computing; data integration problem; data mining; data warehousing; distributed informational computing; grid technology; information integration; molecular biology; Biology computing; Grid computing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cluster Computing and the Grid, 2003. Proceedings. CCGrid 2003. 3rd IEEE/ACM International Symposium on
  • Print_ISBN
    0-7695-1919-9
  • Type

    conf

  • DOI
    10.1109/CCGRID.2003.1199419
  • Filename
    1199419