Jason G. Kralj

This study shows that reduced swimming motility accompanies B-lactam antibiotic resistance in E. coli through efflux mechanisms, with motility recovery after antibiotic removal.

This paper introduces a mathematical framework using internal standards to correct compositional biases in microbiome datasets, improving accuracy and precision in taxa abundance measurements.

The paper evaluates metagenomic workflows for pathogen detection using NIST RM 8376 in CSF and stool samples, finding workflow-dependent strain discrimination and sample-agnostic detection responses.

This study quantifies methodological biases in microbiome sequencing and shows how to improve dataset comparability across different protocols.

The paper discusses considerations for performance metrics in metagenomic NGS analyses, emphasizing the need for taxon-specific evaluation and appropriate summary metrics.