Sequencing-based methods and resources to study antimicrobial resistance
Antimicrobial resistance extracts high morbidity, mortality and economic costs yearly by
rendering bacteria immune to antibiotics. Identifying and understanding antimicrobial …
rendering bacteria immune to antibiotics. Identifying and understanding antimicrobial …
Using genomics to track global antimicrobial resistance
RS Hendriksen, V Bortolaia, H Tate, GH Tyson… - Frontiers in public …, 2019 - frontiersin.org
The recent advancements in rapid and affordable DNA sequencing technologies have
revolutionized diagnostic microbiology and microbial surveillance. The availability of …
revolutionized diagnostic microbiology and microbial surveillance. The availability of …
CARD 2020: antibiotic resistome surveillance with the comprehensive antibiotic resistance database
Abstract The Comprehensive Antibiotic Resistance Database (CARD; https://card. mcmaster.
ca) is a curated resource providing reference DNA and protein sequences, detection models …
ca) is a curated resource providing reference DNA and protein sequences, detection models …
MEGARes 2.0: a database for classification of antimicrobial drug, biocide and metal resistance determinants in metagenomic sequence data
Antimicrobial resistance (AMR) is a threat to global public health and the identification of
genetic determinants of AMR is a critical component to epidemiological investigations. High …
genetic determinants of AMR is a critical component to epidemiological investigations. High …
DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data
Background Growing concerns about increasing rates of antibiotic resistance call for
expanded and comprehensive global monitoring. Advancing methods for monitoring of …
expanded and comprehensive global monitoring. Advancing methods for monitoring of …
ARGs-OAP v2. 0 with an expanded SARG database and Hidden Markov Models for enhancement characterization and quantification of antibiotic resistance genes in …
Motivation Much global attention has been paid to antibiotic resistance in monitoring its
emergence, accumulation and dissemination. For rapid characterization and quantification …
emergence, accumulation and dissemination. For rapid characterization and quantification …
Whole-genome sequencing of bacterial pathogens: the future of nosocomial outbreak analysis
Outbreaks of multidrug-resistant bacteria present a frequent threat to vulnerable patient
populations in hospitals around the world. Intensive care unit (ICU) patients are particularly …
populations in hospitals around the world. Intensive care unit (ICU) patients are particularly …
Machine learning for antimicrobial resistance prediction: current practice, limitations, and clinical perspective
Antimicrobial resistance (AMR) is a global health crisis that poses a great threat to modern
medicine. Effective prevention strategies are urgently required to slow the emergence and …
medicine. Effective prevention strategies are urgently required to slow the emergence and …
Using Machine Learning To Predict Antimicrobial MICs and Associated Genomic Features for Nontyphoidal Salmonella
Nontyphoidal Salmonella species are the leading bacterial cause of foodborne disease in
the United States. Whole-genome sequences and paired antimicrobial susceptibility data …
the United States. Whole-genome sequences and paired antimicrobial susceptibility data …
Innovations in genomic antimicrobial resistance surveillance
NE Wheeler, V Price, E Cunningham-Oakes… - The Lancet …, 2023 - thelancet.com
Whole-genome sequencing of antimicrobial-resistant pathogens is increasingly being used
for antimicrobial resistance (AMR) surveillance, particularly in high-income countries …
for antimicrobial resistance (AMR) surveillance, particularly in high-income countries …