Rapid inference of antibiotic resistance and susceptibility by clinical metagenomic sequencing

Growing concerms about the rising of antibiotic-resistant bacteria call for rapid detection of drug resitance in clinical samples. Current antibiotic susceptibility testing (AST) relies largely on time-consuming culture-based methods, which may cause a delay for patient treatment and increase mortality. Here we present a method called GenseqAMR for inferring the phenotype of a bacterial sample by indentifying key antibiotic resistance features via metagenomic sequencing