Next-Generation Sequencing Approaches to Predicting Antimicrobial Susceptibility Testing Results

Rebecca Yee; Patricia J Simner

doi:10.1016/j.cll.2022.09.011

Next-Generation Sequencing Approaches to Predicting Antimicrobial Susceptibility Testing Results

Clin Lab Med. 2022 Dec;42(4):557-572. doi: 10.1016/j.cll.2022.09.011.

Authors

Rebecca Yee¹, Patricia J Simner²

Affiliations

¹ Division of Medical Microbiology, Department of Pathology, Johns Hopkins University School of Medicine, Meyer B1-193, 600 North Wolfe Street, Baltimore, MD 21287-7093, USA.
² Division of Medical Microbiology, Department of Pathology, Johns Hopkins University School of Medicine, Meyer B1-193, 600 North Wolfe Street, Baltimore, MD 21287-7093, USA. Electronic address: psimner1@jhmi.edu.

PMID: 36368782
DOI: 10.1016/j.cll.2022.09.011

No abstract available

Keywords: Antimicrobial resistance; Clinical microbiology; Metagenomic next-generation sequencing (mNGS); Predictions; Targeted NGS; Whole genome sequencing (WGS).

Publication types

Review

MeSH terms

Anti-Bacterial Agents / pharmacology
Anti-Bacterial Agents / therapeutic use
Anti-Infective Agents*
High-Throughput Nucleotide Sequencing* / methods
Sensitivity and Specificity

Substances

Anti-Bacterial Agents
Anti-Infective Agents