• DocumentCode
    983507
  • Title

    Computational challenges of systems biology

  • Author

    Finkelstein, Anthony ; Hetherington, James ; Li, Linzhong ; Margoninski, Ofer ; Saffrey, Peter ; Seymour, Rob ; Warner, Anne

  • Author_Institution
    Univ. Coll. London, UK
  • Volume
    37
  • Issue
    5
  • fYear
    2004
  • fDate
    5/1/2004 12:00:00 AM
  • Firstpage
    26
  • Lastpage
    33
  • Abstract
    Progress in the study of biological systems such as the heart, brain, and liver will require computer scientists to work closely with life scientists and mathematicians. Computer science will play a key role in shaping the new discipline of systems biology and addressing the significant computational challenges it poses.
  • Keywords
    biology; biology computing; entity-relationship modelling; genetics; molecular biophysics; proteins; DNA sequences; RNA synthesis; bioinformatics; entity-relationship model; high-level information model; molecular biology; proteins generation; systems biology; Bioinformatics; Biological system modeling; Biological systems; Biology computing; DNA; Genomics; Heart; Physiology; Proteins; Systems biology;
  • fLanguage
    English
  • Journal_Title
    Computer
  • Publisher
    ieee
  • ISSN
    0018-9162
  • Type

    jour

  • DOI
    10.1109/MC.2004.1297236
  • Filename
    1297236