Author

B.-T. Huynh

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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Ecology· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:metagenomics· 2 Approach:statistical model· 2 Research Focus:cell-cell communication· 1 Organism:E. coli· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

L. Opatowski· 2 shared A. de Lauzanne· 1 shared A. J. Pickering· 1 shared B. A. Hungate· 1 shared B. Garin· 1 shared C. M. Liu· 1 shared D. Guillemot· 1 shared E. Delarocque-Astagneau· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersMicrobiology

L. Opatowski

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Author profile →

3 papers

Recent·Most cited

Leakiness at the human-animal interface in Southeast Asia and implications for the spread of antibiotic resistance

M. L. Nadimpalli, M. Stegger, R. Viau, V. Yith, A. de Lauzanne, N. Sem, L. Borand, B.-t. Huynh, S. Brisse, V. Passet, S. Overballe-Petersen, M. Aziz, M. Gouali, J. Jacobs, T. Phe, , L. B. Price

The paper identifies antibiotic resistance elements shared between humans and animals in Cambodia, highlighting the need to address human-animal interface leaks to combat antimicrobial resistance.

bioRxiv · Mar 15, 2021Ecology

Clonal transmission and new mechanism of resistance to trimethoprim-sulfamethoxazole in Stenotrophomonas maltophilia strains isolated in a neonatology unit at Antananarivo, Madagascar, deciphered by whole genome sequence analysis

M. A. N. Rabenandrasana, V. Andrianoelina, M. Bonneault, P. Herindrainy, B. Garin, S. Breurec, E. Delarocque-Astagneau, Z. Z. Andrianirina, V. Enouf, B.-T. Huynh, L. Opatowski, J. M. Collard

The paper identifies clonal transmission of SXT-resistant S. maltophilia strains in a neonatology unit and links a folA mutation to trimethoprim resistance via whole genome sequencing.

bioRxiv · Jul 10, 2019 · PreprintMicrobiology

Inference of significant microbial interactions from longitudinal metagenomics sequencing data

X. Gao, B.-T. Huynh, D. Guillemot, P. Glaser, L. Opatowski

The paper infers microbial interactions from longitudinal metagenomics data, finding differences in interaction patterns between healthy children and T1D progressors.

bioRxiv · Apr 20, 2018Ecology