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Ghim, Cheol-Min
Physical Biology & Biological Physics
Research Interests
  • Control of complex networks, Stochastic fluctuations in a cell, Biochemical information processing, Human microbiome, Ecological inference, Nonequilibrium active system

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Systems biology of microbial communities

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Title
Systems biology of microbial communities
Author
Navid, A.Ghim, Cheol-MinFenley, A.T.Yoon, S.Lee, S.Almaas, E.
Issue Date
2009-01
Publisher
Humana Press, Inc.
Citation
METHODS IN MOLECULAR BIOLOGY, v.500, no.1, pp.469 - 494
Abstract
Microbes exist naturally in a wide range of environments in communities where their interactions are significant, spanning the extremes of high acidity and high temperature environments to soil and the ocean. We present a practical discussion of three different approaches for modeling microbial communities: rate equations, individual-based modeling, and population dynamics. We illustrate the approaches with detailed examples. Each approach is best fit to different levels of system representation, and they have different needs for detailed biological input. Thus, this set of approaches is able to address the operation and function of microbial communities on a wide range of organizational levels.
URI
https://scholarworks.unist.ac.kr/handle/201301/7094
DOI
10.1007/978-1-59745-525-1_16
ISSN
1064-3745
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PHY_Journal Papers
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