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From metagenomic data to personalized in silico microbiotas: predicting dietary supplements for Crohn’s disease

DOI: 10.1038/s41540-018-0063-2

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Abstract:

Computational framework used to create personalized metabolic models of gut microbial communities. Published metagenomic data were integrated into an in silico microbiota model for each CD patient and healthy control to simulate emergent metabolite concentration

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