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

Tom Oinn(European Bioinformatics Institute), Mark Greenwood(University of Manchester), Matthew Addis(University of Southampton), M. Nedim Alpdemir(University of Manchester), Justin Ferris(University of Southampton), Kevin Glover(University of Nottingham), Carole Goble(University of Manchester), Antoon Goderis(University of Manchester), Duncan Hull(University of Manchester), Darren Marvin(University of Southampton), Peter Li(Newcastle University), Phillip Lord(University of Manchester), Matthew Pocock(Newcastle University), Martin Senger(European Bioinformatics Institute), Robert Stevens(University of Manchester), Anil Wipat(Newcastle University), Chris Wroe(University of Manchester)
Concurrency and Computation Practice and Experience
December 13, 2005
Cited by 656

Abstract

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 my Grid 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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