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Can the Grid Help to Solve the Data Integration Problems in Molecular Biology?

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Sturgeon, B, McCourt, D, Cowper, J, Palmer, FL, McClean, SI and Dubitzky, W (2003) Can the Grid Help to Solve the Data Integration Problems in Molecular Biology? In: 3rd IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2003), Tokyo, Japan. IEEE Computer Society. 7 pp. [Conference contribution]

Full text not available from this repository.

URL: http://csdl.computer.org/comp/proceedings/ccgrid/2003/1919/00/19190594abs.htm

DOI: http://doi.ieeecomputersociety.org/10.1109/CCGRID.2003.1199419

Abstract

Molecular biology is increasingly relying on globallydistributed information repositories. The quality andperformance of research and development in this fieldwill depend on highly flexible, performant and intuitiveways of accessing and integrating these resources intolocal information processing environments. In contrast tomany ongoing Grid developments, the molecular biology community requires high-informational as opposed tohigh-performance computing Grids. This paper outlines ageneral distributed informational computing scenario inthe context of molecular biology. It focuses oninformation integration (data warehousing) and datamining as two crucial Grid methodologies of futuremolecular biology computing environments. Thepresented scenario raises a number of questions, as thebasis for discussion, on the role of emerging Gridtechnologies.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Life and Health Sciences
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Life and Health Sciences > School of Biomedical Sciences
Research Institutes and Groups:Biomedical Sciences Research Institute
Computer Science Research Institute
Biomedical Sciences Research Institute > Molecular Medicine
Computer Science Research Institute > Information and Communication Engineering
Biomedical Sciences Research Institute > Molecular Medicine > Nano Systems Biology
ID Code:7567
Deposited By:Professor Sally McClean
Deposited On:02 Jul 2010 11:22
Last Modified:16 Aug 2010 16:39

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