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Integrating ARC grid middleware with Taverna workflows.

Hajo N Krabbenhöft1, Steffen Möller, Daniel Bayer

  • 1Institute for Neuro- and Bioinformatics, University of Lübeck, 23538 Lübeck, Germany.

Bioinformatics (Oxford, England)
|March 21, 2008
PubMed
Summary
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This study introduces two methods for integrating computational grids with the Taverna bioinformatics workflow suite. A database and web portal support linking applications and grid resources, enabling seamless workflow execution.

Area of Science:

  • Bioinformatics
  • Computational Science
  • Grid Computing

Background:

  • The need for integrating distributed computational resources into bioinformatics workflows.
  • Existing limitations in connecting grid computing power with workflow management systems like Taverna.

Purpose of the Study:

  • To present two novel approaches for seamless integration of computational grids with the Taverna workflow suite.
  • To develop a robust system for linking diverse applications with grid resources for bioinformatics tasks.

Main Methods:

  • Implementation of a gateway service for grid communication and authentication.
  • Development of a Taverna plug-in for direct grid interaction.
  • Utilizing a relational database to map applications to grid resources.

Related Experiment Videos

  • Establishing a web portal for collaborative maintenance of resources.

    • Main Results:

    • Successful integration of computational grids with Taverna via two distinct methods.
    • Demonstration of a relational database linking applications and grid resources as workflow elements.
    • A web portal enabling collaborative maintenance of the integrated system.

    Conclusions:

    • Two independent approaches offer flexible integration of computational grids with Taverna.
    • The gateway service provides non-intrusive integration, while the plug-in offers technical advantages like on-grid data handling.
    • The developed system enhances bioinformatics workflow capabilities through grid resource utilization.