Article

MICOM: metagenome-scale modeling to infer metabolic interactions in the gut microbiota

2018-07-04

Abstract excerpt

Compositional changes in the gut microbiota have been associated with a variety of medical conditions such as obesity, Crohn’s disease and diabetes. However, connecting microbial community composition to ecosystem function remains a challenge. Here, we introduce MICOM – a customizable metabolic model of the human gut microbiome. By using a heuristic optimization approach based on L2 regularization we were able to...

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Literature Corpus work: 85b27f14-1c54-5b8b-b009-a9b1a783f6ae
DOI: 10.1101/361907

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