A genomic data resource for predicting antimicrobial resistance from laboratory-derived antimicrobial susceptibility phenotypes
Abstract
Antimicrobial resistance (AMR) is a major global health threat that affects millions of people each year. Funding agencies worldwide and the global research community have expended considerable capital and effort tracking the evolution and spread of AMR by isolating and sequencing bacterial strains and performing antimicrobial susceptibility testing (AST). For the last several years, we have been capturing these efforts by curating data from the...
Paper Details
Title
A genomic data resource for predicting antimicrobial resistance from laboratory-derived antimicrobial susceptibility phenotypes
Published Date
Aug 11, 2021
Journal
Volume
22
Issue
6
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