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.

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