• DocumentCode
    2378249
  • Title

    A method of biological pathway similarity search using high performance computing

  • Author

    Jiang, Keyuan ; Huang, Yingmeng ; Robertson, Joseph

  • Author_Institution
    Dept. of Comput. Inf. Technol. & Graphics, Purdue Univ. Calumet, Hammond, IN, USA
  • fYear
    2009
  • fDate
    3-6 Sept. 2009
  • Firstpage
    4933
  • Lastpage
    4936
  • Abstract
    Comparative study of biological pathway structures and composition can aid us in elucidating the functions of newly discovered pathways, understanding evolutionary traits, and determining missing pathway elements. A method has been developed to perform pair-wise comparison and similarity search of biological pathways. The comparison determines the differences of each pair of pathways represented in the XML format. The similarity search uses a scoring mechanism to rank the similarities of the pathway in question against those in the pathway repository. To achieve a reasonably good performance, the method is being implemented using the Condor high performance computing environment.
  • Keywords
    XML; biology computing; Condor method; XML format; biological pathway; high-performance computing; pair-wise comparison; pathway repository; scoring mechanism; similarity search; Animals; Computing Methodologies; Humans; Signal Transduction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-3296-7
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2009.5332712
  • Filename
    5332712