DocumentCode :
3310106
Title :
Revealing the functional modularity of yeast transcriptional regulatory network by using a novel topological measurement
Author :
Liu, Qijun ; Wang, Zhenghua ; Mansheng Li ; Li, Mansheng ; Zhu, Yunping
Author_Institution :
Nat. Lab. for Parallel & Distrib. Process., Nat. Univ. of Deference & Technol., Changsha, China
fYear :
2009
fDate :
8-11 Aug. 2009
Firstpage :
267
Lastpage :
271
Abstract :
It has been reported that function implementations in biological systems, including transcriptional regulatory networks (TRN), show modular architecture. Analyzing functional modularity of biological networks can describe characteristics of function implementation and their "position" in biology systems from the systems perspective. Defining functional modules naturally, we bring up a novel measurement, cohesive degree (CD), to characterize the modularity. From this character, we know that not all of the corresponding modules of function annotations take on good modularity. Considering the ratio of the non-cohesive (zero-CD value) modules, TRN\´s functional modularity is also weaker than that of other biological network and integral ones. And, this is not caused by data integrity, but by the topology of itself. In fact, the modularity implementation of biological systems is mainly accomplished through the cooperation of several types of networks, not by TRN alonely.
Keywords :
genetics; molecular biophysics; biological networks; cohesive degree; data integrity; function annotations; functional modularity; topological measurement; yeast transcriptional regulatory network; Biochemistry; Biological systems; Electronic mail; Fungi; Gene expression; Laboratories; Network topology; Proteins; Proteomics; Systems biology; cohesive degree; functional modularity; topological measurement; transcriptional regulatory network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4519-6
Electronic_ISBN :
978-1-4244-4520-2
Type :
conf
DOI :
10.1109/ICCSIT.2009.5234476
Filename :
5234476
Link To Document :
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