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Related Experiment Videos

myGrid: personalised bioinformatics on the information grid.

Robert D Stevens1, Alan J Robinson, Carole A Goble

  • 1Department of Computer Science, University of Manchester, Oxford Road, Manchester, UK, M13 9PL.

Bioinformatics (Oxford, England)
|July 12, 2003
PubMed
Summary

The (my)Grid project enhances bioinformatics research by providing middleware services for data integration and workflow enactment. It utilizes semantically rich metadata and ontologies for efficient service discovery and dynamic workflow composition.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Grid Computing

Background:

  • The (my)Grid project leverages Grid technology to create middleware solutions tailored for bioinformatics.
  • It focuses on the Information Grid to facilitate data and application integration.
  • The project aims to bridge the gap between laboratory scientific practices and workstation computational needs.

Purpose of the Study:

  • To develop high-level services for bioinformatics research.
  • To integrate data and applications effectively using Grid technology.
  • To support the scientific method with features like provenance management and personalization.

Main Methods:

  • Exploiting Grid technology and Information Grid principles.
  • Developing middleware layers for bioinformatics applications.

Related Experiment Videos

  • Implementing services for resource discovery, workflow enactment, and distributed query processing.
  • Providing support for provenance management, change notification, and personalization.

    • Main Results:

    • An overview of (my)Grid services and their metadata is presented.
    • Semantically rich metadata, expressed using ontologies, is crucial for service discovery.
    • Ontology-based metadata enables the selection and composition of services into dynamic workflows.

    Conclusions:

    • The (my)Grid project provides essential services for modern bioinformatics research.
    • Ontology-driven metadata is key to enabling dynamic and efficient scientific workflows.
    • The project facilitates better integration of computational tools and data for scientific discovery.