Kristin H. Dyet

The paper develops and evaluates a cgMLST scheme for the Enterobacter cloacae complex using whole genome sequencing data to improve surveillance of ECC species.

This study demonstrates that a cloud-based bioinformatics platform can rapidly analyze genomic data to detect hospital outbreaks with results comparable to manual analysis, without requiring bioinformatic expertise.

This paper applies HERRO error correction to Oxford Nanopore sequencing data to resolve a neonatal ICU MRSA outbreak at the SNV level, achieving results comparable to Illumina sequencing.