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Association of variations in I kappa B-epsilon with Graves’ disease using classical and myGrid methodologies

Lookup NU author(s): Dr Peter Li, Keith Hayward, Dr Claire Jennings, Professor Anil Wipat

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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.

Publication metadata

Author(s): Li P, Hayward K, Jennings C, Owen K, Oinn T, Stevens R, Pearce S, Wipat A

Editor(s): Cox S.J.

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 2004 UK e-Science All Hands Meeting

Year of Conference: 2004

Publisher: Engineering and Physical Sciences Research Council

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