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Paper ID: 1438

Association of variations in I kappa B-epsilon with Graves’ disease using classical and myGrid methodologies
Keith,Hayward Claire,Jennings Peter,Li Tom,Oinn Kate,Owen Simon,Pearce Robert,Stevens Anil,Wipat

Appeared in: Proceedings of the UK e-Science All Hands Conference 2004 website: http://www.allhands.org.uk/2004/
Page Numbers:832 - 840
Publisher: Engineering and Physical Sciences Research Council
Year: 2004
ISBN/ISSN: 1-904425-21-6
Contributing Organisation(s):
Field of Science: e-Science

URL: http://www.allhands.org.uk/2004/proceedings/papers/269.pdf

Abstract: Bioinformatics experiments can be modelled as workflows whereby the order of each computational resource used has been pre-defined. Workflows in the myGrid project are composed and enacted using the Taverna workflow system. We have compared the use of Taverna with classical approaches for performing bioinformatics experiments in the genetic analysis of Graves’ disease. Both classical and myGrid methodologies identified I kappa B-epsilon as a candidate gene involved in Graves’ disease, demonstrating that myGrid is capable of producing the same results as the classical bioinformatics approach.

Keywords: e-Science, AHM 2004


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Last Updated: 22 Jun 12 11:02
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