[HTML][HTML] Machine learning with random subspace ensembles identifies antimicrobial resistance determinants from pan-genomes of three pathogens
The evolution of antimicrobial resistance (AMR) poses a persistent threat to global public
health. Sequencing efforts have already yielded genome sequences for thousands of …
health. Sequencing efforts have already yielded genome sequences for thousands of …
A genomic data resource for predicting antimicrobial resistance from laboratory-derived antimicrobial susceptibility phenotypes
M VanOeffelen, M Nguyen, D Aytan-Aktug… - Briefings in …, 2021 - academic.oup.com
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 …
each year. Funding agencies worldwide and the global research community have expended …
Prediction of antimicrobial resistance based on whole-genome sequencing and machine learning
Motivation Antimicrobial resistance (AMR) is one of the biggest global problems threatening
human and animal health. Rapid and accurate AMR diagnostic methods are thus very …
human and animal health. Rapid and accurate AMR diagnostic methods are thus very …
Assessing computational predictions of antimicrobial resistance phenotypes from microbial genomes
The advent of rapid whole-genome sequencing has created new opportunities for
computational prediction of antimicrobial resistance (AMR) phenotypes from genomic data …
computational prediction of antimicrobial resistance (AMR) phenotypes from genomic data …
A machine learning framework to predict antibiotic resistance traits and yet unknown genes underlying resistance to specific antibiotics in bacterial strains
Recently, the frequency of observing bacterial strains without known genetic components
underlying phenotypic resistance to antibiotics has increased. There are several strains of …
underlying phenotypic resistance to antibiotics has increased. There are several strains of …
Comparative genomics of a drug-resistant Pseudomonas aeruginosa panel and the challenges of antimicrobial resistance prediction from genomes
J Jeukens, I Kukavica-Ibrulj… - FEMS microbiology …, 2017 - academic.oup.com
Antimicrobial resistance (AMR) is now recognized as a global threat to human health. The
accessibility of microbial whole-genome sequencing offers an invaluable opportunity for …
accessibility of microbial whole-genome sequencing offers an invaluable opportunity for …
Predicting antimicrobial resistance and associated genomic features from whole-genome sequencing
JM Monk - Journal of clinical microbiology, 2019 - Am Soc Microbiol
Thanks to the genomics revolution, thousands of strain-specific whole-genome sequences
are now accessible for a wide range of pathogenic bacteria. This availability enables big …
are now accessible for a wide range of pathogenic bacteria. This availability enables big …
[HTML][HTML] Enhancing predictions of antimicrobial resistance of pathogens by expanding the potential resistance gene repertoire using a pan-genome-based feature …
Background Predicting which pathogens might exhibit antimicrobial resistance (AMR) based
on genomics data is one of the promising ways to swiftly and precisely identify AMR …
on genomics data is one of the promising ways to swiftly and precisely identify AMR …
AMR-meta: a k-mer and metafeature approach to classify antimicrobial resistance from high-throughput short-read metagenomics data
Background Antimicrobial resistance (AMR) is a global health concern. High-throughput
metagenomic sequencing of microbial samples enables profiling of AMR genes through …
metagenomic sequencing of microbial samples enables profiling of AMR genes through …
[HTML][HTML] Exploiting genomics to mitigate the public health impact of antimicrobial resistance
Antimicrobial resistance (AMR) is a major global public health threat, which has been largely
driven by the excessive use of antimicrobials. Control measures are urgently needed to slow …
driven by the excessive use of antimicrobials. Control measures are urgently needed to slow …