Author

R. A. Stabler

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· 3

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:whole-genome sequencing· 2 Organism:bacteria (other)· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1

Frequent Co-Authors

B. Lehri· 2 shared B. W. Wren· 2 shared F. Nasher· 2 shared A. A. van Belkum· 1 shared A. Coello Pelegrin· 1 shared A. Corser· 1 shared D. M. O'Sullivan· 1 shared E. Diez Benavente· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersMicrobiology

B. Lehri

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Understanding Campylobacter coli isolates from the Vietnamese meat production network; a pilot study

B. Lehri, G. Navoly, A. Corser, F. Nasher, S. Willcocks, P. T. Ngoc, B. W. Wren, L. Q. Huong, R. A. Stabler

This study characterizes seven Campylobacter coli strains from Vietnam, revealing high antimicrobial resistance and virulence, and highlights their global spread.

bioRxiv · Nov 10, 2023 · PreprintMicrobiology

Survival of Campylobacter jejuni in Acanthamoebae castellanii provides mechanistic insight into host pathogen interactions.

F. Nasher, B. Lehri, M. F. Horney, R. a. Stabler, B. W. Wren

This study shows that Campylobacter jejuni can survive inside Acanthamoebae castellanii, using similar mechanisms as in warm-blooded hosts, suggesting amoebae as transient hosts for persistence and transmission.

bioRxiv · Jul 26, 2022 · PreprintMicrobiology

Discordant bioinformatic predictions of antimicrobial resistance from whole-genome sequencing data of bacterial isolates: An inter-laboratory study

R. M. Doyle, D. M. O'Sullivan, S. D. Aller, S. Bruchmann, T. G. Clark, A. Coello Pelegrin, M. Cormican, E. Diez Benavente, M. J. Ellington, E. McGrath, Y. Motro, T. Phuong Thuy Nguyen, J. Phelan, L. P. Shaw, R. A. Stabler, , K. A. Harris

This study evaluates the reproducibility of antimicrobial resistance predictions from whole-genome sequencing data across different laboratories and identifies factors contributing to discordant results.

Microbial Genomics · Feb 1, 2020Peer-reviewedMicrobiology