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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3 papers

Recent·Most cited

EcologybioRxivMar 15, 2021

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

M. L. Nadimpalli, M. Stegger, R. Viau…·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.

DOI 10.1002/fee.2639

humanE. coli

𝕏 PostBluesky

MicrobiologybioRxivPreprintJul 10, 2019

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…·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.

DOI 10.1101/696765

humanwhole-genome sequencing

𝕏 PostBluesky

EcologybioRxivApr 20, 2018

Inference of significant microbial interactions from longitudinal metagenomics sequencing data

X. Gao, B.-T. Huynh, D. Guillemot…·L. Opatowski

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

DOI 10.3389/fmicb.2018.02319

humanmetagenomics

𝕏 PostBluesky