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Increasing the predictive accuracy of the Resistance Gene Identifier by evaluating antimicrobial resistance gene over- and underprediction

2025-12-15

Abstract excerpt

<h4>ABSTRACT</h4> Computational biology is paving the way towards accessible antimicrobial resistance (AMR) gene (ARG) detection methods to complement canonical gold-standard phenotypic diagnostics for the purposes of antimicrobial surveillance. However, obtaining an accurate depiction of phenotypic resistance through genotypic methods requires addressing potential over- and underprediction of ARGs. This study as...

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Literature Corpus work
0f7fdd4d-4b24-5f3a-87e3-dde54151be71
DOI
10.64898/2025.12.11.693720
Open publication

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