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Article

A genomic data resource for predicting antimicrobial resistance from laboratory-derived antimicrobial susceptibility phenotypes.

Briefings in bioinformatics - 5 Nov 2021

VanOeffelen Margo, Nguyen Marcus, Aytan-Aktug Derya, Brettin Thomas, Dietrich Emily M, Kenyon Ronald W, Machi Dustin, Mao Chunhong, Olson Robert, Pusch Gordon D, Shukla Maulik, Stevens Rick, Vonstein Veronika, Warren Andrew S, Wattam Alice R, Yoo Hyunseung, Davis James J

Abstract excerpt

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...

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Identifiers

PMID: 34379107
DOI: 10.1093/bib/bbab313
PMCID: PMC8575023

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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