Microbial Community Modeling : : Prediction of Microbial Interactions and Community Dynamics / / edited by Hyun-Seob Song.
Microbial communities are networks of species, the interaction structure of which dynamically reorganizes in a varying environment. Even in a static condition, community dynamics are often difficult to predict due to highly nonlinear interspecies interactions. Understanding the fundamental principle...
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| Place / Publishing House: | Basel : : MDPI,, 2018. |
| Year of Publication: | 2018 |
| Language: | English |
| Physical Description: | 1 online resource (vii, 284 pages) :; illustrations |
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| Other title: | Microbial Community Modeling |
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| Summary: | Microbial communities are networks of species, the interaction structure of which dynamically reorganizes in a varying environment. Even in a static condition, community dynamics are often difficult to predict due to highly nonlinear interspecies interactions. Understanding the fundamental principles of microbial interactions is therefore key for predicting and harnessing community function and properties. As extensively reviewed previously, mathematical models and computational methods that can predictively link interactions to community behaviors are indispensable tools for achieving this goal. |
| ISBN: | 3038429767 |
| Hierarchical level: | Monograph |
| Statement of Responsibility: | edited by Hyun-Seob Song. |