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DataGrid, prototype of a biomedical grid.

V Breton1, R Medina, J Montagnat

  • 1Laboratoire de Physique Corpusculaire, CNRS-IN2P3, Campus des Cézeaux, Aubière, France. breton@clermont.in2p3.fr

Methods of Information in Medicine
|May 14, 2003
PubMed
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Deploying computing grids addresses the need for increased computational power and data accessibility in biomedical research. This enables advancements in areas like genomics and medical imaging.

Area of Science:

  • Biomedical Informatics
  • Computational Science

Background:

  • Growing demand for computational power and data accessibility in fields like drug design, medical imaging, and simulations.
  • Challenges with heterogeneous data formats and large datasets.

Purpose of the Study:

  • To address computational and data accessibility needs through grid deployment.
  • To foster synergy between bioinformatics and computerised medical imaging.
  • To support globally distributed scientific exploration with large datasets.

Main Methods:

  • Deployment of a biomedical grid within the DataGrid IST project.
  • Development of a novel environment for scientific exploration.

Main Results:

  • Demonstrated relevance of the grid paradigm for genomics.

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  • Demonstrated relevance of the grid paradigm for medical image processing.

    • Conclusions:

    • The grid paradigm is highly relevant for biomedical applications.
    • Biomedical research has specific requirements for grid infrastructure.