StaphSCAN

StaphSCAN streamlines Staphylococcus aureus genomic analysis by integrating essential typing methods with detection of antimicrobial resistance, virulence, and biofilm-associated genes to produce normalized tabular reports for epidemiological interpretation.


Key Features:

  • Typing Methods Integration: StaphSCAN integrates MLST, spa typing, SCCmec typing, and capsular typing for comprehensive strain characterization.
  • Antimicrobial Resistance Detection: The tool detects antimicrobial resistance (AMR) genes relevant to S. aureus.
  • Virulence Gene Detection: StaphSCAN identifies virulence-associated genes in S. aureus genomes.
  • Biofilm Gene Detection: The tool detects biofilm-associated genes relevant to S. aureus pathogenicity.
  • Normalized Tabular Reporting: StaphSCAN produces a comprehensive, normalized tabular report suitable for immediate epidemiological interpretation.
  • High Throughput Processing: The tool demonstrated high throughput and reliability when validated on 404 clinical S. aureus genomes.

Scientific Applications:

  • Genomic Surveillance: StaphSCAN facilitates rapid genomic surveillance of Staphylococcus aureus in hospital and community settings.
  • Population Structure Characterization: The tool successfully characterized S. aureus population structure in validated clinical datasets.
  • Epidemiological Data Extraction: StaphSCAN extracts actionable epidemiological data from Whole Genome Sequencing (WGS) without requiring fragmented workflows of disparate software tools.

Methodology:

StaphSCAN is a modular, open-source Python tool that integrates essential typing methods with detection of antimicrobial resistance, virulence, and biofilm-associated genes, producing a comprehensive normalized tabular report. Validation was performed using a public dataset of 404 clinical S. aureus genomes collected in 2019 during a StaphNET-SA network study.

Topics

Collections

Details

License:
MIT
Tool Type:
command-line tool, workflow
Operating Systems:
Linux
Programming Languages:
Python
Added:
9/9/2026
Last Updated:
9/9/2026

Operations

Publications

Documentation

Downloads

Links