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Paper ID: 2483

From Access and Integration to Mining of Secure Genomic Data Sets across the Grid
Sinnott,R.O.

Appeared in: Future Generation of Computer Systems, Special Edition on Life Science Grids for Biomedicine and Bioinformatics
Page Numbers:
Publisher: N/A
Year: 2006
ISBN/ISSN:
Contributing Organisation(s):
Field of Science: e-Science

URL: http://www.nesc.ac.uk/papers/staff/fgcsSinnottFinal.pdf

Abstract: The UK Department of Trade and Industry (DTI) funded BRIDGES project (Biomedical Research Informatics Delivered by Grid Enabled Services) has developed a Grid infrastructure to support cardiovascular research. This includes the provision of a compute Grid and a data Grid infrastructure with security at its heart. In this paper we focus on the BRIDGES data Grid. A primary aim of the BRIDGES data Grid is to help control the complexity in access to and integration of a myriad of genomic data sets through simple Grid based tools. We outline these tools, how they are delivered to the end user scientists. We also describe how these tools are to be extended in the BBSRC funded Grid Enabled Microarray Expression Profile Search (GEMEPS) to support a richer vocabulary of search capabilities to support mining of microarray data sets. As with BRIDGES, fine grain Grid security underpins GEMEPS.

Keywords: Grid,e-Science, Bioinformatics


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