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Discordance between different bioinformatic methods for identifying resistance genes from short-read genomic data, with a focus on <i>Escherichia coli</i>

2021-11-03

Abstract excerpt

2. Several bioinformatics genotyping algorithms are now commonly used to characterise 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. Accurately evaluating AMR in Enterobacterales, particularly Escherichia coli , is of major importance, because this is a...

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Literature Corpus work
5c5e36e3-cfcb-5e75-86d8-114b6f264036
DOI
10.1101/2021.11.03.467004
Open publication

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Discordance between different bioinformatic methods for identifying resistance genes from short-read genomic data, with a focus on <i>Escherichia coli</i>DOI 10.1101/2021.11.03.467004
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