Taverna: Lessons in creating a workflow environment for the life sciences

Tom Oinn, Mark Greenwood, Matthew Addis, M. Nedim Alpdemir, Justin Ferris, Kevin Glover, Carole Goble, Antoon Goderis, Duncan Hull, Darren Marvin, Peter Li, Phillip Lord, Matthew R. Pocock, Martin Senger, Robert Stevens, Anil Wipat, Chris Wroe

    Research output: Contribution to journalArticlepeer-review

    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.
    Original languageEnglish
    Pages (from-to)1067-1100
    Number of pages33
    JournalConcurrency and Computation: Practice & Experience
    Volume18
    Issue number10
    DOIs
    Publication statusPublished - 25 Aug 2006

    Keywords

    • Life sciences
    • Scientific workflow
    • Semantic Grid environment
    • Web services

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