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Supplementary Material 7

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Bibliographic Details
Title: Supplementary Material 7
Authors: Nishitha R Kumar, Tejashree A Balraj, Kerry K Cooper, Akila Prashant
Publication Year: 2025
Subject Terms: Clinical microbiology, Emergency medicine, Geriatrics and gerontology, Infectious diseases, Intensive care, CARD, ResFinder, MEGARes antibiotic resistance database, Python scripting language, DNA Feature Viewer, Mutation Plots
Description: ResFinder, CARD (Comprehensive Antibiotic Resistance Database), and MegARes are essential databases for analyzing antibiotic resistance genes in Escherichia coli , helping researchers identify resistance mechanisms and assess the threat of multidrug-resistant strains. ResFinder is a web-based tool that detects acquired antibiotic resistance genes in bacterial genomes by comparing sequences against a curated database. It is widely used for identifying resistance genes in E. coli , providing insights into the presence of β-lactamases, aminoglycoside-modifying enzymes, and other resistance determinants. CARD (Comprehensive Antibiotic Resistance Database) is a high-quality, manually curated database that categorizes resistance genes, mutations, and mechanisms based on molecular models. It utilizes the Resistance Gene Identifier (RGI) tool to detect resistance genes and SNPs linked to resistance, making it valuable for studying both acquired and intrinsic resistance mechanisms in E. coli . MegARes is a specialized database for metagenomic analysis of antimicrobial resistance (AMR). It provides structured annotations of resistance genes and their associated antimicrobial classes, allowing researchers to study AMR profiles in complex microbial communities, including clinical and environmental E. coli isolates. By leveraging these databases, researchers can comprehensively assess antibiotic resistance in E. coli , track the emergence of resistant strains, and develop strategies for combating antimicrobial resistance in clinical and public health settings.
Document Type: dataset
Language: unknown
Relation: https://figshare.com/articles/dataset/Supplementary_Material_7/28601039
DOI: 10.6084/m9.figshare.28601039.v1
Availability: https://doi.org/10.6084/m9.figshare.28601039.v1
https://figshare.com/articles/dataset/Supplementary_Material_7/28601039
Rights: CC BY 4.0
Accession Number: edsbas.C877266F
Database: BASE
Description
Abstract:ResFinder, CARD (Comprehensive Antibiotic Resistance Database), and MegARes are essential databases for analyzing antibiotic resistance genes in Escherichia coli , helping researchers identify resistance mechanisms and assess the threat of multidrug-resistant strains. ResFinder is a web-based tool that detects acquired antibiotic resistance genes in bacterial genomes by comparing sequences against a curated database. It is widely used for identifying resistance genes in E. coli , providing insights into the presence of β-lactamases, aminoglycoside-modifying enzymes, and other resistance determinants. CARD (Comprehensive Antibiotic Resistance Database) is a high-quality, manually curated database that categorizes resistance genes, mutations, and mechanisms based on molecular models. It utilizes the Resistance Gene Identifier (RGI) tool to detect resistance genes and SNPs linked to resistance, making it valuable for studying both acquired and intrinsic resistance mechanisms in E. coli . MegARes is a specialized database for metagenomic analysis of antimicrobial resistance (AMR). It provides structured annotations of resistance genes and their associated antimicrobial classes, allowing researchers to study AMR profiles in complex microbial communities, including clinical and environmental E. coli isolates. By leveraging these databases, researchers can comprehensively assess antibiotic resistance in E. coli , track the emergence of resistant strains, and develop strategies for combating antimicrobial resistance in clinical and public health settings.
DOI:10.6084/m9.figshare.28601039.v1