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Navid A, Ghim CM, Fenley AT, et al. Systems biology of microbial communities. Methods Mol Biol. 2009;500:469-94doi: 10.1007/978-1-59745-525-1_16.
Navid, A., Ghim, C. M., Fenley, A. T., Yoon, S., Lee, S., & Almaas, E. (2009). Systems biology of microbial communities. Methods in molecular biology (Clifton, N.J.), 500469-94. https://doi.org/10.1007/978-1-59745-525-1_16
Navid, Ali, et al. "Systems biology of microbial communities." Methods in molecular biology (Clifton, N.J.) vol. 500 (2009): 469-94. doi: https://doi.org/10.1007/978-1-59745-525-1_16
Navid A, Ghim CM, Fenley AT, Yoon S, Lee S, Almaas E. Systems biology of microbial communities. Methods Mol Biol. 2009;500:469-94. doi: 10.1007/978-1-59745-525-1_16. PMID: 19399434.
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Methods Mol Biol. 2009;500:469-94. doi: 10.1007/978-1-59745-525-1_16.

Systems biology of microbial communities.

Methods in molecular biology (Clifton, N.J.)

Ali Navid, Cheol-Min Ghim, Andrew T Fenley, Sooyeon Yoon, Sungmin Lee, Eivind Almaas

Affiliations

  1. Biosciences and Biotechnology Division, Lawrence Livermore National Laboratory, CA, USA.

PMID: 19399434 DOI: 10.1007/978-1-59745-525-1_16

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.

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