• DocumentCode
    501124
  • Title

    Comparative Analysis of Motifs in Giant Strong Component of Metabolic Networks

  • Author

    Liu, Wei ; Ding, Dewu

  • Author_Institution
    Dept. of Modern Educ. Technol. & Teaching, Ludong Univ., Yantai, China
  • Volume
    1
  • fYear
    2009
  • fDate
    6-7 June 2009
  • Firstpage
    291
  • Lastpage
    293
  • Abstract
    In this paper, comparison of network motifs in giant strong component (GSC) of metabolic networks is proposed and presented. Firstly, the use of metabolic reaction data to generate metabolic networks of 10 organisms from different categories is achieved. Subsequently, the GSC of each metabolic network was extracted and the network motifs of these GSCs are studied. The results showed that the motifs found are different among taxonomies, but quite consistent within the taxonomy. It suggested that analysis of network motifs in GSCs might more helpful to understand fundamental organizational principles of metabolic networks.
  • Keywords
    biology computing; giant strong component; metabolic network; metabolic reaction data; network motifs; taxonomy; Biochemistry; Complex networks; Computational intelligence; Computer networks; Computer science education; Databases; Organisms; Statistics; Systems biology; Taxonomy; giant strong component; metabolic networks; motif; systems biology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3645-3
  • Type

    conf

  • DOI
    10.1109/CINC.2009.231
  • Filename
    5231130