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Third IEEE International Symposium on Cluster Computing and the Grid (CCGrid'03)
Can the Grid Help to Solve the Data Integration Problems in Molecular Biology?
Tokyo, Japan
May 12-May 15
ISBN: 0-7695-1919-9
Brian Sturgeon, University of Ulster
Damian McCourt, University of Ulster
John Cowper, The Data Warehousing Practice (NI) Ltd.
Fiona Palmer, University of Ulster
Sally McClean, University of Ulster
Werner Dubitzky, University of Ulster
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.
Citation:
Brian Sturgeon, Damian McCourt, John Cowper, Fiona Palmer, Sally McClean, Werner Dubitzky, "Can the Grid Help to Solve the Data Integration Problems in Molecular Biology?," ccgrid, pp.594, Third IEEE International Symposium on Cluster Computing and the Grid (CCGrid'03), 2003
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