Author

N. Wheeler

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· 2

Signature Assays, Organisms & Methods

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Approach:benchmark study· 1 Research Focus:benchmarking· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Research Focus:variant effect prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

A. D. Millard· 1 shared A. L. Hicks· 1 shared J. L. Rakeman· 1 shared L. Sanchez-Buso· 1 shared S. F. S. Ho· 1 shared S. R. Harris· 1 shared W. van Schaik· 1 shared Y. H. Grad· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 13 mutual co-author links

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1 shared paperMicrobiology

A. D. Millard

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Author profile →

2 papers

Recent·Most cited

Gauge your phage: Benchmarking of bacteriophage identification tools in metagenomic sequencing data

S. F. S. Ho, N. Wheeler, A. D. Millard, W. van Schaik

This study benchmarks ten phage identification tools on metagenomic data, finding VirSorter2 and Kraken2 perform best, with false positives and diversity bias noted.

bioRxiv · Apr 12, 2021 · PreprintMicrobiology

Evaluation of parameters affecting performance and reliability of machine learning-based antibiotic susceptibility testing from whole genome sequencing data

A. L. Hicks, N. Wheeler, L. Sanchez-Buso, J. L. Rakeman, S. R. Harris, Y. H. Grad

This study evaluates factors affecting machine learning models' performance in predicting antibiotic resistance from whole genome sequencing data across multiple bacterial species.

PLOS Computational Biology · Sep 3, 2019Peer-reviewedMicrobiology