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Assumptions on decision making and environment can yield multiple steady states in microbial community models
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 metabolically sta...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10288676/ https://www.ncbi.nlm.nih.gov/pubmed/37349675 http://dx.doi.org/10.1186/s12859-023-05325-w |