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Systems biology of microbial communities.
Navid, Ali; Ghim, Cheol-Min; Fenley, Andrew T; Yoon, Sooyeon; Lee, Sungmin; Almaas, Eivind.
Afiliación
  • Navid A; Biosciences and Biotechnology Division, Lawrence Livermore National Laboratory, CA, USA.
Methods Mol Biol ; 500: 469-94, 2009.
Article en En | MEDLINE | ID: mdl-19399434
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.
Asunto(s)

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Biología de Sistemas / Microbiología / Modelos Biológicos Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2009 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Biología de Sistemas / Microbiología / Modelos Biológicos Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2009 Tipo del documento: Article País de afiliación: Estados Unidos