Samuel D. Chorlton

refMLST provides a reference-based multilocus sequence typing method for bacterial outbreak investigation, offering improved resolution and scalability compared to existing approaches.

BugSplit improves taxonomic binning of metagenomic assemblies, enabling accurate detection of novel pathogens and separation of pathogen from host and microbiota sequences.

BugSeq is a cloud-based metagenomic classifier for nanopore long-read data that outperforms existing tools in accuracy and speed.

The paper improves nanopore 16S sequence classification by replacing NanoCLUST's BLAST-based classifier with QIIME2's VSEARCH-based classifier, showing increased accuracy in mock and clinical data.

The paper reanalyzes Alzheimer's brain sequencing data and finds no HHV7 reads and only two HHV6A reads in the dataset, challenging the original findings.