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Lookup NU author(s): Dr Peter Li,
Dr Phillip Lord,
Dr Matthew Pocock,
Professor Anil Wipat
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
Life sciences research is based on individuals, often with diverse skills, assembled into research groups. These groups use their specialist expertise to address scientific problems. The in silico experiments undertaken by these research groups can be represented as workflows involving the co-ordinated use of analysis programs and information repositories that may be globally distributed. With regards to Grid computing, the requirements relate to the sharing of analysis and information resources rather than sharing computational power. The myGrid project has developed the Taverna Workbench for the composition and execution of workflows for the life sciences community. This experience paper describes lessons learnt during the development of Taverna. A common theme is the importance of understanding how workflows fit into the scientists' experimental context. The lessons reflect an evolving understanding of life scientists' requirements on a workflow environment, which is relevant to other areas of data intensive and exploratory science.
Author(s): Oinn T, Greenwood M, Addis M, Alpdemir MN, Ferris J, Glover K, Goble C, Goderis A, Hull D, Marvin D, Li P, Lord P, Pocock MR, Senger M, Stevens R, Wipat A, Wroe C
Publication type: Article
Publication status: Published
Journal: Concurrency and Computation: Practice and Experience
ISSN (print): 1532-0626
ISSN (electronic): 1532-0634
Publisher: John Wiley & Sons Ltd.
Notes: Special issue: Workflow in Grid Systems
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