Research Article
Taverna: lessons in creating a workflow environment for the life sciences
Article first published online: 13 DEC 2005
DOI: 10.1002/cpe.993
Copyright © 2005 John Wiley & Sons, Ltd.
Issue
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Concurrency and Computation: Practice and Experience
Special Issue: Workflow in Grid Systems
Volume 18, Issue 10, pages 1067–1100, 25 August 2006
Additional Information
How to Cite
Oinn, T., Greenwood, M., Addis, M., Alpdemir, M. N., Ferris, J., Glover, K., Goble, C., Goderis, A., Hull, D., Marvin, D., Li, P., Lord, P., Pocock, M. R., Senger, M., Stevens, R., Wipat, A. and Wroe, C. (2006), Taverna: lessons in creating a workflow environment for the life sciences. Concurrency and Computation: Practice and Experience, 18: 1067–1100. doi: 10.1002/cpe.993
Publication History
- Issue published online: 19 JUL 2006
- Article first published online: 13 DEC 2005
- Manuscript Accepted: 27 APR 2005
- Manuscript Revised: 30 MAR 2005
- Manuscript Received: 1 JUN 2004
Funded by
- U.K. e-Science Programme Project myGrid. Grant Number: EPSRC GR/R67743/01
- U.K. e-Science Programme Project Link-Up. Grant Number: EPSRC GR/S84965/01
- The Wellcome Foundation. Grant Number: G/R:1061183
- Abstract
- References
- Cited By
Keywords:
- scientific workflow;
- Semantic Grid environment;
- life sciences;
- Web services
Abstract
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. Copyright © 2005 John Wiley & Sons, Ltd.

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