Using Genomic Tools to Predict Antimicrobial Resistance and Markers in Clinical Bacterial Samples
21 June 2024
The study uses genomic tools to predict antimicrobial resistance (AMR) and identify resistance markers in hospital-acquired infections (HAIs). It evaluates the genetic profiles of Pseudomonas aeruginosa and Staphylococcus aureus. Results show that genomic tools like CARD-RGI and Solu can accurately identify resistance genes and predict AMR phenotypes. This suggests the potential of genomic approaches in managing resistant infections and developing new antimicrobial strategies.
Further reading: bioXriv
Author(s): Tony Hong-Wei Chang et al
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