Assumptions on decision making and environment can yield multiple steady states in microbial community models
Abstract Background Microbial community simulations using genome scale metabolic networks (GSMs) are relevant for many application areas, such as the analysis of the human microbiome. Such simulations rely on assumptions about the culturing environment, affecting if the culture may reach a metabolic...
| Päätekijät: | , |
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| Aineistotyyppi: | Artikkeli |
| Kieli: | English |
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BMC
2023-06-01
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| Sarja: | BMC Bioinformatics |
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| Linkit: | https://doi.org/10.1186/s12859-023-05325-w |