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김철민

Ghim, Cheol-Min
Physical Biology Biological Physics Lab.
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Systems biology of microbial communities

Author(s)
Navid, A.Ghim, Cheol-MinFenley, A.T.Yoon, S.Lee, S.Almaas, E.
Issued Date
2009-01
DOI
10.1007/978-1-59745-525-1_16
URI
https://scholarworks.unist.ac.kr/handle/201301/7094
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.
Publisher
Humana Press, Inc.
ISSN
1064-3745
Keyword (Author)
Agent-based modelingBiofilmMicrobial communityPopulation dynamicsQuorum sensingRate equation

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