Author

Tim J. Nuttall

Roslin InstituteORCID 0000-0002-7412-9398Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Approach:benchmark study· 1 Assay:long-read sequencing· 1 Assay:metagenomics· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Alison S. LowiD· 1 shared David L. GallyiD· 1 shared Dylan Neil ClementsiD· 1 shared Gavin K. PatersoniD· 1 shared J. Ross FitzgeraldiD· 1 shared Marianne KeithiD· 1 shared Natalie RingiD· 1 shared Rhodri EvansiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperMicrobiology

Alison S. LowORCID

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1 paper

Recent·Most cited

Benchmarking nanopore-based strategies for antimicrobial resistance prediction

Natalie Ring, Alison S. Low, Rhodri Evans, Marianne Keith, Gavin K. Paterson, David L. Gally, Tim J. Nuttall, Dylan Neil Clements, J. Ross Fitzgerald

This study benchmarks in silico AMR prediction tools using nanopore data, finding that assembly strategy and data volume impact accuracy, but no tool perfectly matches lab-based AST results.

bioRxiv · Aug 27, 2026 · PreprintMicrobiology