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
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