Correlation between Phenotypic and In Silico Detection of Antimicrobial Resistance in Salmonella enterica in Canada Using Staramr

Amrita Bharat; Aaron Petkau; Brent P. Avery; Jessica C. Chen; Jason P. Folster; Carolee A. Carson; Ashley Kearney; Céline Nadon; Philip Mabon; Jeffrey Thiessen; David C. Alexander; Vanessa Allen; Sameh El Bailey; Sadjia Békal; Greg J. German; David Haldane; Linda Hoang; Linda Chui; Jessica Minion; George Zahariadis; Gary Van Domselaar; Richard J. Reid‐Smith; Michael R. Mulvey

doi:10.3390/microorganisms10020292

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Abstract

was reliable compared to the gold standard of broth microdilution. WGS can provide higher-resolution data on the epidemiology of resistance mechanisms and the emergence of new resistance alleles.

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Bharat et al. (2022) studied this question.

synapsesocial.com/papers/6a04d9c6ec645bc7a136849d https://doi.org/10.3390/microorganisms10020292

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Correlation between Phenotypic and In Silico Detection of Antimicrobial Resistance in Salmonella enterica in Canada Using Staramr

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Correlation between Phenotypic and In Silico Detection of Antimicrobial Resistance in Salmonella enterica in Canada Using Staramr

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