• DocumentCode
    1992298
  • Title

    Graph Mining of Networks from Genome Biology

  • Author

    Chin, George, Jr. ; Nakamura, Grant C. ; Chavarria, Daniel G. ; Sofia, Heidi J.

  • Author_Institution
    Pacific Northwest Nat. Lab., Richland
  • fYear
    2007
  • fDate
    14-17 Oct. 2007
  • Firstpage
    1265
  • Lastpage
    1269
  • Abstract
    We are developing an advanced toolkit for biological networks, using problems from genome biology to drive this work. We now share our experiences in graph analysis and visualization of microbial genome networks using a collection of new and existing graph mining tools and techniques. We address three key problems in genome biology: the organization of complete genome protein networks, feature extraction across chromosomes in microbial strains, and hierarchical structure of protein families and superfamilies.
  • Keywords
    biology computing; data mining; genetics; molecular biophysics; proteins; chromosomes; feature extraction; graph mining; hierarchical structure; microbial genome networks; protein; Bioinformatics; Biological cells; Biology computing; Capacitive sensors; Computational biology; Genomics; Laboratories; Large-scale systems; Open source software; Proteins;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics and Bioengineering, 2007. BIBE 2007. Proceedings of the 7th IEEE International Conference on
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-1509-0
  • Type

    conf

  • DOI
    10.1109/BIBE.2007.4375728
  • Filename
    4375728