• DocumentCode
    2194057
  • Title

    An Extensible, Scalable Architecture for Managing Bioinformatics Data and Analyses

  • Author

    Shah, Anuj R. ; Singhal, Mudita ; Gibson, Tara D. ; Sivaramakrishnan, Chandrika ; Waters, Katrina M. ; Gorton, Ian

  • Author_Institution
    Pacific Northwest Nat. Lab., Richland, WA, USA
  • fYear
    2008
  • fDate
    7-12 Dec. 2008
  • Firstpage
    190
  • Lastpage
    197
  • Abstract
    Systems biology research demands the availability of tools and technologies that span a comprehensive range of computational capabilities, including data management, transfer, processing, integration, and interpretation. To address these needs, we have created the bioinformatics resource manager (BRM), a scalable, flexible, and easy to use tool for biologists to undertake complex analyses. This paper describes the underlying software architecture of the BRM that integrates multiple commodity platforms to provide a highly extensible and scalable software infrastructure for bioinformatics. The architecture integrates a J2EE 3-tier application with an archival experimental data management system, the GAGGLE framework for desktop tool integration, and the MeDICi integration framework for high-throughput data analysis workflows. This architecture facilitates a systems biology software solution that enables the entire spectrum of scientific activities, from experimental data access to high throughput processing and analysis of data for biologists and experimental scientists.
  • Keywords
    Java; bioinformatics; data analysis; database management systems; information retrieval systems; middleware; resource allocation; software architecture; GAGGLE framework; J2EE 3-tier application; MeDICi middleware integration framework; bioinformatics data management architecture; bioinformatics resource manager; desktop tool integration; experimental data management system archive; high-throughput data analysis workflow; multiple commodity platform; software architecture; systems biology software solution; Application software; Availability; Bioinformatics; Biology computing; Computer architecture; Data analysis; Resource management; Software architecture; Systems biology; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    eScience, 2008. eScience '08. IEEE Fourth International Conference on
  • Conference_Location
    Indianapolis, IN
  • Print_ISBN
    978-1-4244-3380-3
  • Electronic_ISBN
    978-0-7695-3535-7
  • Type

    conf

  • DOI
    10.1109/eScience.2008.69
  • Filename
    4736757