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    Development of a grid infrastructure for functional genomics

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    Development of a grid infrastructure for functional genomics (471.8Kb)

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    Author
    Sinnott, R.; Bayer, M.; Houghton, D.; Berry, D.; Ferrier, M.
    Date
    2005
    Source Title
    Grid computing in life science. Lecture notes in computer science.
    Publisher
    Springer
    University of Melbourne Author/s
    Sinnott, Richard
    Metadata
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    Document Type
    Book Chapter
    Citations
    Sinnott, R., Bayer, M., Houghton, D., Berry, D., & Ferrier, M. (2005). Development of a grid infrastructure for functional genomics. In A. Konagaya & K. Satou (Eds.), Grid computing in life science. Lecture notes in computer science. 3370 (pp. 125-139). Berlin; Heidelberg: Springer.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/28775
    Description

    This is a post-print of an article whose final and definitive form has been published in Lecture Notes in Computer Science © 2005 Springer; the original publication is available at: http://www.springerlink.com

     

    First International Workshop on Life Science Grid, LSGRID 2004 Kanazawa, Japan, May 31 - June 1, 2004

     
    Abstract
    The BRIDGES project is incrementally developing and exploring database integration over six geographically distributed research sites with the framework of a Wellcome Trust biomedical research project (the Cardiovascular Functional Genomics project) to provide a sophisticated infrastructure for bioinfomaticians. Grid technologies are being used to facilitate this integration. Key issues to be investigated in BRIDGES are data integration and data federation, security, user friendliness, access to large scale computational facilities and incorporation of existing bioinformatics software solutions, both for visualisation as well as analysis of genomic data sets. This paper outlines the initial experiences in applying Grid technologies and outlines the on-going designs put forward to address these issues.
    Keywords
    grid systems; life science applications

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