Whole genome sequencing (WGS) is now routinely performed in clinical microbiology laboratories to assess isolate relatedness. With appropriately developed analytics, the same data can be used for prediction of antimicrobial susceptibility. We assessed WGS data for identification and antibiotic susceptibility testing (AST) prediction compared to matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF) identification and broth microdilution phenotypic susceptibility testing on clinical isolates.
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