Antimicrobial susceptibility prediction from genomes: a dream come true?-Reference-Cited by-同舟云学术

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Antimicrobial susceptibility prediction from genomes: a dream come true?

Published:2024-04 Issue:4 Volume:32 Page:317-318
ISSN:0966-842X
Container-title:Trends in Microbiology
language:en
Short-container-title:Trends in Microbiology

Author:

Werner Guido,Aamot Hege Vangstein,Couto Natacha

Publisher

Elsevier BV

Reference10 articles.

1. Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis;Lancet,2022

2. ResFinder 4.0 for predictions of phenotypes from genotypes;Bortolaia;J. Antimicrob. Chemother.,2020

3. Validating the AMRFinder tool and resistance gene database by using antimicrobial resistance genotype-phenotype correlations in a collection of isolates;Feldgarden;Antimicrob. Agents Chemother.,2019

4. A roadmap for the generation of benchmarking resources for antimicrobial resistance detection using next generation sequencing;Petrillo;F1000Res.,2021

5. Antibiotic resistance determination using Enterococcus faecium whole-genome sequences: a diagnostic accuracy study using genotypic and phenotypic data;Coll;Lancet Microbe,2024

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Context-dependent fitness benefits of antibiotic resistance mutations;Proceedings of the Royal Society B: Biological Sciences;2024-07-24

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