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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| 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) |
| Conference Name | | 2004 UK e-Science All Hands Meeting |
| Conference Location | | Nottingham, UK |
| Year of Conference | | 2004 |
| Date | | 31st August - 3rd September 2004 |
| Volume | | |
| Pages | | |
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| Full text for this publication is not currently held within this repository. Alternative links are provided below where available. |
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| 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. |
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| Publisher | | Engineering and Physical Sciences Research Council |
