5NosoAE
5NosoAE performs comparative analyses of nosocomial bacterial strains using antibiograms and whole-genome sequencing to support epidemiological surveillance of antimicrobial resistance.
Key Features:
- Antibiogram-Based Strain Identification: Identifies and compares nosocomial bacterial strains based on antimicrobial resistance profiles (antibiograms).
- Spatiotemporal Distribution Visualization: Visualizes spatiotemporal distribution of strains to track movement and evolution of resistant lineages across locations and time.
- Phylogenetic Analysis: Performs phylogenetic analyses on strains with similar antibiograms to infer evolutionary relationships and trace pathways of resistance genes.
- Comprehensive Data Input: Accepts genome sequence files in FASTA format for Acinetobacter baumannii, Pseudomonas aeruginosa, Klebsiella pneumoniae, Enterococcus faecium, and Staphylococcus aureus.
- Visualization Outputs: Generates antibiogram heatmaps and phylogenetic trees for comparative interpretation of resistance profiles and strain relationships.
Scientific Applications:
- Epidemiological Surveillance: Monitoring and controlling the spread of antimicrobial-resistant strains within healthcare facilities.
- Infection Control Strategies: Informing the development of targeted interventions to mitigate drug-resistant infections.
- Research and Development: Supporting studies into the genetic determinants and evolution of antimicrobial resistance.
Methodology:
Processes whole-genome sequencing (WGS) data using bioinformatics techniques to analyze genomic aspects of antimicrobial resistance and to generate visualizations.
Topics
Details
- License:
- Not licensed
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- JavaScript, PHP
- Added:
- 8/31/2022
- Last Updated:
- 11/24/2024
Operations
Publications
Chen C, Liu Y, Yang Y, Hsu C. 5NosoAE: a web server for nosocomial bacterial antibiogram investigation and epidemiology survey. Nucleic Acids Research. 2022;50(W1):W21-W28. doi:10.1093/nar/gkac423. PMID:35639518. PMCID:PMC9252726.
DOI: 10.1093/nar/gkac423
PMID: 35639518
PMCID: PMC9252726
Funding: - Ministry of Science and Technology: 108-2221-E-110-061-MY2, 110-2221-E-110-032-MY3
- NSYSU-KMU: 109-P007, 110-P011