• DocumentCode
    757122
  • Title

    Graph theory and networks in Biology

  • Author

    Mason, O. ; Verwoerd, M.

  • Author_Institution
    Hamilton Inst., Co. Kildare, Maynooth
  • Volume
    1
  • Issue
    2
  • fYear
    2007
  • fDate
    3/1/2007 12:00:00 AM
  • Firstpage
    89
  • Lastpage
    119
  • Abstract
    A survey of the use of graph theoretical techniques in Biology is presented. In particular, recent work on identifying and modelling the structure of bio-molecular networks is discussed, as well as the application of centrality measures to interaction networks and research on the hierarchical structure of such networks and network motifs. Work on the link between structural network properties and dynamics is also described, with emphasis on synchronisation and disease propagation.
  • Keywords
    biology computing; complex networks; diseases; graph theory; molecular biophysics; bio-molecular networks; centrality measures; disease propagation; graph theory; hierarchical structure; network motifs; synchronisation;
  • fLanguage
    English
  • Journal_Title
    Systems Biology, IET
  • Publisher
    iet
  • ISSN
    1751-8849
  • Type

    jour

  • DOI
    10.1049/iet-syb:20060038
  • Filename
    4140672
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=757122