• DocumentCode
    2392715
  • Title

    An outlook into ultra-scale visualization of large-scale biological data

  • Author

    Samatova, Nagiza F. ; Breimyer, Paul ; Hendrix, William ; Schmidt, Matthew C. ; Rhyne, Theresa-Marie

  • Author_Institution
    North Carolina State Univ., Raleigh, NC, USA
  • fYear
    2008
  • fDate
    16-16 Nov. 2008
  • Firstpage
    29
  • Lastpage
    39
  • Abstract
    As bioinformatics has evolved from a reductionistic approach to a complementary multi-scale integrative approach, new challenges in ultra-scale visualization have arisen. Even though visualization is a critical component to large-scale biological data analysis, the ultra-scale nature of systems biology has given rise to novel problems in visualization that are not addressed by existing methods. Visualization is a rich and actively researched domain, and there are many open research questions pertaining to the increasing demands of visualization in bioinformatics. In this paper, we present several broadly important ultra-scale visualization challenges and discuss specific examples of ultra-scale applications in systems biology.
  • Keywords
    bioinformatics; data visualisation; bioinformatics; large-scale biological data; systems biology; ultra-scale visualization; Bioinformatics; Biological cells; Biological systems; Biology computing; Data visualization; Genomics; Large-scale systems; Proteins; Sequences; Systems biology; bioinformatics; large-scale biological data; ultra-scale visualization; visualization challenges;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultrascale Visualization, 2008. UltraVis 2008. Workshop on
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-2861-8
  • Type

    conf

  • DOI
    10.1109/ULTRAVIS.2008.5154061
  • Filename
    5154061