• DocumentCode
    3022161
  • Title

    BioFilter: an architecture for parallel deployment and dynamic chaining of standalone bioinformatics tools

  • Author

    Brettin, Thomas ; Kewalramani, Avinash

  • Author_Institution
    Genomic Sequencing & Computational Biol. Group, Los Alamos Nat. Lab., NM, USA
  • fYear
    2005
  • fDate
    4-8 April 2005
  • Abstract
    A large number of bioinformatics analysis tools available today are processor intensive. Keeping in mind that the amount of biological data to be analyzed is growing steadily, and these tools are not easily deployable on Beowulf clusters, we propose BioFilter. BioFilter is a software implementation of an architecture that provides a framework for the deployment of these tools on a cluster thereby providing large performance increases. Another facet of bioinformatics analysis is that the tools, in general, are not used in isolation, but are used collaboratively during an analysis. Our architecture provides a way to create pipelines of different analysis tools chained together in a cluster environment, passing the output from one analysis tool as the input to another analysis tool.
  • Keywords
    biology computing; biotechnology; information filtering; information filters; parallel architectures; pipeline processing; Beowulf clusters; BioFilter architecture; biological data; dynamic chaining; parallel deployment; standalone bioinformatics analysis tool; Acceleration; Bioinformatics; Computer architecture; Data analysis; Filters; Genomics; Pattern analysis; Pipelines; Sequences; Software tools;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing Symposium, 2005. Proceedings. 19th IEEE International
  • Print_ISBN
    0-7695-2312-9
  • Type

    conf

  • DOI
    10.1109/IPDPS.2005.126
  • Filename
    1420092