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Rafael Muñoz-Tamayo

Researcher at Université Paris-Saclay

Publications -  51
Citations -  1772

Rafael Muñoz-Tamayo is an academic researcher from Université Paris-Saclay. The author has contributed to research in topics: Biology & Rumen. The author has an hindex of 13, co-authored 36 publications receiving 1438 citations. Previous affiliations of Rafael Muñoz-Tamayo include Supélec & University of Paris-Sud.

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Towards the human intestinal microbiota phylogenetic core

TL;DR: Despite the species richness and a high individual specificity, a limited number of OTUs is shared among individuals and might represent the phylogenetic core of the human intestinal microbiota and its role in human health deserves further study.
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Addressing global ruminant agricultural challenges through understanding the rumen microbiome: past, present and future

TL;DR: Advances in computational tools, high-throughput sequencing technologies and cultivation-independent “omics” approaches continue to revolutionize the understanding of the rumen microbiome, which will ultimately provide the knowledge framework needed to solve current and future ruminant livestock challenges.
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Kinetic modelling of lactate utilization and butyrate production by key human colonic bacterial species

TL;DR: A mathematical model is provided to analyse the production of butyrate by lactate-utilizing bacteria from the human colon and should provide insight into carbohydrate fermentation and short-chain fatty acid cross-feeding by dominant species of the human Colonic microbiota.
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DRUM: A New Framework for Metabolic Modeling under Non-Balanced Growth. Application to the Carbon Metabolism of Unicellular Microalgae

TL;DR: DRUM is proposed, a new dynamic metabolic modeling framework that handles the non-balanced growth condition and hence accumulation of intracellular metabolites and efficiently predicts the accumulation and consumption of lipids and carbohydrates of microalgae under day/night conditions.
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Mathematical modelling of carbohydrate degradation by human colonic microbiota.

TL;DR: The development of a mathematical model of carbohydrate degradation is presented to provide an in silico approach to contribute to a better understanding of the fermentation patterns in such an ecosystem.