Back to search

Article

Exploring the extent of uncatalogued genetic variation in antimicrobial resistance gene families in<i>Escherichia coli</i>

2023-03-15

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Antimicrobial resistance (AMR) in E. coli is a global problem associated with substantial morbidity and mortality. AMR-associated genes are typically annotated based on similarity to a variants in a curated reference database with an implicit assumption that uncatalogued genetic variation within these is phenotypically unimportant. In this study we evaluated the potential for...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
c6ed5e93-62b3-57a4-a53f-8ad70b3b91d7
DOI
10.1101/2023.03.14.23287259
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Exploring the extent of uncatalogued genetic variation in antimicrobial resistance gene families in<i>Escherichia coli</i>DOI 10.1101/2023.03.14.23287259
Exploring uncatalogued genetic variation in antimicrobial resistance gene families in Escherichia coli: an observational analysis.Semantic proximity
Discordance between different bioinformatic methods for identifying resistance genes from short-read genomic data, with a focus on <i>Escherichia coli</i>Semantic proximity
An accurate and interpretable model for antimicrobial resistance in pathogenic <i>Escherichia coli</i> from livestock and companion animal speciesSemantic proximity
Estimating the effect of antimicrobial resistance genes on minimum inhibitory concentration in<i>Escherichia coli</i>Semantic proximity
Genomic Epidemiology and Emerging Mechanisms of Antibiotic Resistance Among Clinically Significant BacteriaSemantic proximity
Keeping up with the pathogens: Improved antimicrobial resistance detection and prediction from<i>Pseudomonas</i>aeruginosa genomesSemantic proximity
A Machine Learning Approach Reveals CRISPR-Cas I-F as a Genomic Marker of Antibiotic Susceptibility in Uropathogenic <i>E. coli</i>Semantic proximity
Large-scale assessment of antimicrobial resistance marker databases for genetic phenotype prediction: a systematic review.Semantic proximity
VAMPr: VAriant Mapping and Prediction of antibiotic resistance via explainable features and machine learningSemantic proximity
Bridging the gap between bioinformatics and the clinical and public health microbiology laboratory: An ISO-accredited genomics workflow for antimicrobial resistanceSemantic proximity
Exploring the mobilome and resistome of <i>Enterococcus faecium</i> in a One Health context across two continentsSemantic proximity
Precise prediction of antibiotic resistance in <i>Escherichia coli</i> from full genome sequencesSemantic proximity
Select a neighboring publication to make it the new centre.