Author

Caitlin Collins

UK Health Security AgencyORCID 0000-0002-5482-3972Unclaimed ORCID profile · follow to get notified of new preprints

Additional preprints under this name without ORCID

Caitlin Collins1 paper

Biology Disciplines

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Genomics· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Organism:E. coli· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Adam CrewdsoniD· 1 shared Alice LeddaiD· 1 shared Anaïs PainsetiD· 1 shared Claire JenkinsiD· 1 shared Clare R. BarkeriD· 1 shared David R. GreigiD· 1 shared Ella V. RodwelliD· 1 shared Julian ParkhilliD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperGenomics

Adam CrewdsonORCID

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2 papers

Recent·Most cited

Large-scale genomic characterisation of phage-plasmids in clinical Enterobacteriaceae isolates

Satheesh Nair, Clare R. Barker, Matthew T. Bird, Alice Ledda, Caitlin Collins, Ryan Morrison, David R. Greig, Ella V. Rodwell, Anaïs Painset, Adam Crewdson, Claire Jenkins, Marie Anne Chattaway, Xavier Didelot, Paolo Ribeca

This study characterizes phage-plasmids in clinical Enterobacteriaceae isolates, finding they are common and associated with antimicrobial resistance and disease severity.

bioRxiv · Sep 12, 2025 · PreprintGenomics

Minimal machine learning models of resistance identify novel antibiotic resistance discovery opportunities in Klebsiella pneumoniae

Kristina Kordova, Caitlin Collins, Julian Parkhill

This paper uses minimal machine learning models to predict antibiotic resistance in Klebsiella pneumoniae and identifies gaps in existing AMR databases for novel marker discovery.

bioRxiv · Apr 8, 2025 · PreprintMicrobiology