Article

Towards routine employment of computational tools for antimicrobial resistance determination via high-throughput sequencing

2021-11-03

Abstract excerpt

Antimicrobial resistance (AMR) is a growing threat to public health and farming at large. In clinical and veterinary practice, timely characterization of the antibiotic susceptibility profile of bacterial infections is a crucial step in optimizing treatment. High-throughput sequencing is a promising option for clinical point-of-care and ecological surveillance, opening the opportunity to develop genotyping-based A...

Topics

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

Identifiers and source

Literature Corpus work: ad9b6422-7598-54f9-a322-8690e72f312c
DOI: 10.1101/2021.11.03.467126

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Towards routine employment of computational tools for antimicrobial resistance determination via high-throughput sequencingDOI 10.1101/2021.11.03.467126Read

A systematic analysis of machine learning pipelines for robust antimicrobial resistance predictionSemantic proximity Read

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

Genomic and Machine Learning Approaches for Predicting Antimicrobial Resistance: A One Health Scoping Review in Low- and Middle-Income CountriesSemantic proximity Read

amR: an R package suite to predict antimicrobial resistance in bacterial pathogensSemantic proximity Read

Bridging the gap between bioinformatics and the clinical and public health microbiology laboratory: An ISO-accredited genomics workflow for antimicrobial resistanceSemantic proximity Read

Integrating sequencing methods with machine learning for antimicrobial susceptibility testing in pediatric infections: current advances and future insightsSemantic proximity Read

Machine Learning Predicts Antimicrobial Resistance from Genomic Data across ESKAPEE PathogensSemantic proximity Read

ARIBA: rapid antimicrobial resistance genotyping directly from sequencing readsSemantic proximity Read

A systematic comparison of tools for predicting antimicrobial resistance from nanopore sequence dataSemantic proximity Read

Hybrid Deep Learning–Based Rapid Broad-Spectrum Antimicrobial Susceptibility Testing from Whole-Genome AssembliesSemantic proximity Read

Simultaneous detection of genotype and phenotype enables rapid and accurate antibiotic susceptibility determination.Semantic proximity Read

Clinical Diagnostics of Bacterial Infections and Their Resistance to Antibiotics—Current State and Whole Genome Sequencing Implementation PerspectivesSemantic proximity Read