Author

R. Munoz-Tamayo

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Microbiology· 2 Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:benchmarking· 1 Organism:chicken / avian· 1 Organism:human· 1 Assay:metabolomics· 1 Organism:rat· 1

Frequent Co-Authors

D. P. Morgavi· 1 shared G. Fonty· 1 shared G. Miller· 1 shared H. Kettle· 1 shared J. C. Chagas· 1 shared J. F. Ramirez Agudelo· 1 shared J.-P. Morel· 1 shared M. Popova· 1 shared

Activity by Year

2018-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperMicrobiology

D. P. Morgavi

Mutual co-authors in cluster

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3 papers

Recent·Most cited

MicrobiologybioRxivNov 9, 2020

Modelling the impact of the macroalgae Asparagopsis taxiformis on rumen microbial fermentation and methane production

R. Munoz-Tamayo, J. C. Chagas, M. Ramin, S. J. Krizsan

This paper models how A. taxiformis affects rumen fermentation and methane production in vitro by incorporating its inhibitory effects on methanogens and hydrogen dynamics.

DOI 10.24072/pcjournal.11

statistical model

𝕏 PostBluesky

MicrobiologybioRxivJul 9, 2019

Hydrogenotrophic methanogens of the mammalian gut: functionally similar, thermodynamically different. A modelling approach

R. Munoz-Tamayo, M. Popova, M. Tillier…·N. Morel-Desrosiers

The paper models methanogenesis in gut microbes to show functional similarities and thermodynamic differences among species, suggesting ecological models need kinetic and spatial-temporal integration.

DOI 10.1371/journal.pone.0226243

humanrat

𝕏 PostBluesky

BioengineeringbioRxivApr 10, 2018

A parsimonious software sensor for estimating the individual dynamic pattern of methane emissions from cattle

R. Munoz-Tamayo, J. F. Ramirez Agudelo, R. J. Dewhurst…·H. Kettle

This paper develops a software sensor using a grey-box model to predict individual cattle methane emissions based on feeding behavior data, showing high accuracy with concordance correlation coefficients of 0.78 and 0.99 for different predictors.

DOI 10.1017/s1751731118002550

chicken / avianstatistical model

𝕏 PostBluesky