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김철민

Ghim, Cheol-Min
Physical Biology Biological Physics Lab.
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dc.citation.endPage 494 -
dc.citation.number 1 -
dc.citation.startPage 469 -
dc.citation.title METHODS IN MOLECULAR BIOLOGY -
dc.citation.volume 500 -
dc.contributor.author Navid, A. -
dc.contributor.author Ghim, Cheol-Min -
dc.contributor.author Fenley, A.T. -
dc.contributor.author Yoon, S. -
dc.contributor.author Lee, S. -
dc.contributor.author Almaas, E. -
dc.date.accessioned 2023-12-22T08:11:30Z -
dc.date.available 2023-12-22T08:11:30Z -
dc.date.created 2014-10-10 -
dc.date.issued 2009-01 -
dc.description.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. -
dc.identifier.bibliographicCitation METHODS IN MOLECULAR BIOLOGY, v.500, no.1, pp.469 - 494 -
dc.identifier.doi 10.1007/978-1-59745-525-1_16 -
dc.identifier.issn 1064-3745 -
dc.identifier.scopusid 2-s2.0-65649137349 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/7094 -
dc.language 영어 -
dc.publisher Humana Press, Inc. -
dc.title Systems biology of microbial communities -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor Agent-based modeling -
dc.subject.keywordAuthor Biofilm -
dc.subject.keywordAuthor Microbial community -
dc.subject.keywordAuthor Population dynamics -
dc.subject.keywordAuthor Quorum sensing -
dc.subject.keywordAuthor Rate equation -

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