• DocumentCode
    1828087
  • Title

    Automating Three-Dimensional Reconstruction of Icosahedral Virus Structure with Condensed Graphs

  • Author

    Wang, Chenqi ; Cafferkey, Neil ; Morrison, John P.

  • Author_Institution
    Dept. of Comput. Sci., Univ. Coll. Cork, Cork, Ireland
  • fYear
    2009
  • fDate
    June 30 2009-July 4 2009
  • Firstpage
    179
  • Lastpage
    186
  • Abstract
    We present a visual executable workflow for the three-dimensional reconstruction of icosahedral virus structure using the traditional model (TM) method. This workflow is implemented using WebCom, a metacomputer platform based on the condensed graph (CG) model. The CG model allows the application to be constructed with a structure that closely mirrors an abstract description of the workflow. By utilising WebCom´s integrated development environment, we also create a workbench environment that facilitates construction of related workflows through the reuse of components developed for the TM workflow. As an example of this component reuse, we outline the construction of a workflow for the alternative unbiased model reconstruction method.
  • Keywords
    Internet; biology computing; graph theory; microorganisms; WebCom integrated development environment; condensed graph model; three-dimensional icosahedral virus structure reconstruction; traditional model method; unbiased model reconstruction; visual executable workflow; Biology computing; Character generation; Computer networks; Computer science; Concurrent computing; Distributed computing; Grid computing; High performance computing; Image reconstruction; Packaging; 3D reconstruction; Condensed Graph; High Performance Computing; Virus Structure; WebCom; Workflow;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Computing, 2009. ISPDC '09. Eighth International Symposium on
  • Conference_Location
    Lisbon
  • Print_ISBN
    978-0-7695-3680-4
  • Type

    conf

  • DOI
    10.1109/ISPDC.2009.9
  • Filename
    5284354