Discordance between different bioinformatic methods for identifying resistance genes from short-read genomic data, with a focus on Escherichia coli
Several bioinformatics genotyping algorithms are now commonly used to characterize antimicrobial resistance (AMR) gene profiles in whole-genome sequencing (WGS) data, with a view to understanding AMR epidemiology and developing resistance prediction workflows using WGS in clinical settings. Accurate...
Główni autorzy: | , , , , , , , , , , , , , , |
---|---|
Format: | Journal article |
Język: | English |
Wydane: |
Microbiology Society
2023
|