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
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