Author

J. Huggett

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

Biology Disciplines

Click to filter author papers

Microbiology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:bacteria (other)· 1 Assay:bulk RNA-seq· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Organism:virus· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

A. A. van Belkum· 1 shared A. Coello Pelegrin· 1 shared A. S. Whale· 1 shared D. M. O'Sullivan· 1 shared D. O'Sullivan· 1 shared E. Busby· 1 shared E. Diez Benavente· 1 shared E. McGrath· 1 shared

Activity by Year

2020-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperMicrobiology

A. A. van Belkum

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Comparison of SARS-CoV2 N gene real-time RT-PCR targets and commercially available mastermixes

J. R. Brown, D. O'Sullivan, R. P. Pereira, A. S. Whale, E. Busby, J. Huggett, K. Harris

The paper compares four RT-PCR mastermixes and three N gene assays for SARS-CoV-2 detection, finding the N2 assay most sensitive and Takara mastermix best at low detection limits.

bioRxiv · Apr 17, 2020Microbiology

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