Author

Alex Grey

University of AucklandORCID 0000-0001-9659-6408Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:experimental assay· 1 Organism:fungi (other)· 1 Research Focus:host-pathogen & immune response· 1 Assay:metagenomics· 1 Organism:mouse· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Siouxsie WilesiD· 2 shared Thomas LumleyiD· 2 shared Alanna CallendrelloiD· 1 shared Bevan Simon WeiriD· 1 shared Bradford P. TayloriD· 1 shared Brent R. CoppiD· 1 shared Duckchul ParkiD· 1 shared Hannah M. ReadiD· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 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

2 shared papersMicrobiology

Siouxsie WilesORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

MicrobiologyMicrobiologyPeer-reviewedJan 12, 2026

Using a "one-strain-many-compounds" (OSMAC) approach to screen a collection of diverse fungi from Aotearoa New Zealand for antibacterial activity against Escherichia coli

Shara J. van de Pas, Melissa M. Cadelis, Alex Grey…·Siouxsie Wiles

The paper screens 32 New Zealand fungi for antibacterial activity against E. coli using OSMAC, finding several active isolates and highlighting media effects on bioactivity.

DOI 10.1099/mic.0.001641

fungi (other)metagenomics

𝕏 PostBluesky

GenomicsbioRxivPreprintOct 17, 2022

Beyond consensus sequence: a quantitative scheme for inferring transmission using deep sequencing in a bacterial transmission model

Madikay Senghore, Hannah M. Read, Priyali Oza…·Siouxsie Wiles

The paper develops a model to infer bacterial transmission using deep sequencing data from a mouse model, showing that within-host variant abundance differences can accurately identify transmission pairs.

DOI 10.1101/2022.10.17.512634

mousewhole-genome sequencing

𝕏 PostBluesky