• DocumentCode
    573716
  • Title

    Module of cellular networks in saccharomyces cerevisiae

  • Author

    Yang, Yueying ; Liu, Di ; Meng, Jun

  • Author_Institution
    Dept. of Inf. & Comput. Sci, Northeast Agric. Univ., Harbin, China
  • fYear
    2012
  • fDate
    18-20 Aug. 2012
  • Firstpage
    180
  • Lastpage
    184
  • Abstract
    The focus of the network of research is to determine their community or module, it helps the functional organization and evolution of the network. Modular can be seen as a function of a dynamic cell system executing complex functions in a living cell. How to identify the precious knowledge resources to build a more reliable module is still one of the most important and difficult problems in bioinformatics. We put forward a state space model combining the topological method to describe the time and space module in the cell cycle of the process. Not only our module function sets of genes related to identify a condition to activate or suppress in the cell cycle process in S.cerevisiae, but also have many different solutions, which have evolved into different molecular components will be the assembly at the right time in the cell cycle. The resulting module mapping analysis showed several assumptions connection biological process to a particular cell cycle conditions.
  • Keywords
    bioinformatics; cellular biophysics; genetics; microorganisms; molecular biophysics; physiological models; state-space methods; topology; S.cerevisiae; Saccharomyces cerevisiae; bioinformatics; biological process; cell cycle process; cellular network module; dynamic cell system; functional organization; living cell; module gene function sets; module mapping analysis; molecular components; network evolution; space module; state space model; time module; topological method; Bioinformatics; Biological system modeling; Computational modeling; Computer architecture; Gene expression; Microprocessors; cell cycle; dynamics; modules; state-space model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems Biology (ISB), 2012 IEEE 6th International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4673-4396-1
  • Electronic_ISBN
    978-1-4673-4397-8
  • Type

    conf

  • DOI
    10.1109/ISB.2012.6314133
  • Filename
    6314133