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
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