original ) (raw )Genome-based prediction of bacterial antibiotic resistance
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Journal of Clinical Microbiology
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Discordant bioinformatic predictions of antimicrobial resistance from whole-genome sequencing data of bacterial isolates: An inter-laboratory study
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Genome Assessment of Antibiotic Resistance Genes in Probiotic Bacteria and a Literature Review
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Prediction of Staphylococcus aureus antimicrobial resistance from whole genome sequencing
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Screening for Antimicrobial Resistance Genes and Virulence Factors via Genome Sequencing
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Applied and Environmental Microbiology, 2011
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ARG-ANNOT, a New Bioinformatic Tool To Discover Antibiotic Resistance Genes in Bacterial Genomes
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Antimicrobial Agents and Chemotherapy, 2014
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The Comprehensive Antibiotic Resistance Database
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PARGT: a software tool for predicting antimicrobial resistance in bacteria
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BacARscan: an in-silico resource to discern diversity in antibiotic resistance genes
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Biology Methods and Protocols, 2022
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MEGARes: an antimicrobial resistance database for high throughput sequencing
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A genomic data resource for predicting antimicrobial resistance from laboratory-derived antimicrobial susceptibility phenotypes
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Briefings in Bioinformatics, 2021
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Precise prediction of antibiotic resistance in Escherichia coli from full genome sequences
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Prediction of antimicrobial resistance based on whole-genome sequencing and machine learning
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Whole genome sequencing to decipher the resistome of clinical multidrug-resistant bacteria
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2016
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Accelerating surveillance and research of antimicrobial resistance - an online repository for sharing of antimicrobial susceptibility data associated with whole genome sequences: Supplementary metarial and code
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2019
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MEGARes and AMR++, v3.0: an updated comprehensive database of antimicrobial resistance determinants and an improved software pipeline for classification using high-throughput sequencing
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PARMAP: A Pan-Genome-Based Computational Framework for Predicting Antimicrobial Resistance
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Frontiers in Microbiology, 2020
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A review on the role of genomics, various environmental factors, biochemical and physiological determinants and biofilms responsible for the development of antibiotics resistance in microbes
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BacARscan: A Comprehensive and Interactive Web-Resource to Discern Antibiotic Resistance Gene Diversity in –Omics Datasets
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2021
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Use of online tools for antimicrobial resistance prediction by whole-genome sequencing in methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant enterococci (VRE)
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Journal of Global Antimicrobial Resistance, 2019
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Survey of Public Assay Data: Opportunities and Challenges to Understanding Antimicrobial Resistance
Gowri Nayar
2019
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Development of a Bioinformatics Pipeline to Identify Antibiotic Resistance Biomarkers of Bacterial Pathogens
Udo Bleimann
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Prediction of antibiotic resistance in Escherichia coli from large-scale pan-genome data
Jonas Warringer
PLOS Computational Biology
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Discordance between different bioinformatic methods for identifying resistance genes from short-read genomic data, with a focus on Escherichia coli
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bioRxiv (Cold Spring Harbor Laboratory), 2021
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Predicting Antibiotic Resistance in Gram-negative Bacilli from Resistance Genes
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Antimicrobial Agents and Chemotherapy
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CARD 2020: antibiotic resistome surveillance with the comprehensive antibiotic resistance database
Bhavya Singh
Nucleic Acids Research, 2019
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Discordance between different bioinformatic methods for identifying resistance genes from short-read genomic data, with a focus onEscherichia coli
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2021
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Three Distinct Annotation Platforms Differ in Detection of Antimicrobial Resistance Genes in Long-Read, Short-Read, and Hybrid Sequences Derived from Total Genomic DNA or from Purified Plasmid DNA
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Predictive comparative antibiotic resistance (AMR) profiles of rhizobacteria genes using CARD: a bioinformatics approach
adeoye kafilat adenike
2020
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Rapid antibiotic resistance predictions from genome sequence data for S. aureus and M. tuberculosis
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2015
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Whole-genome sequencing as part of national and international surveillance programmes for antimicrobial resistance: a roadmap
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BMJ Global Health, 2020
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NastyBugs: A simple method for extracting antimicrobial resistance information from metagenomes
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F1000Research, 2017
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