MeltingPlot

MeltingPlot analyzes High Resolution Melting (HRM) data to produce rapid pathogen typing and integrate typing results with isolate and patient metadata for epidemiological investigations.

Key Features:

• Rapid Pathogen Typing: Enables typing of pathogens in less than five hours.
• Graph-Based Algorithm: Employs a graph-based algorithm to discriminate pathogen clones based on HRM data and produce portable typing results.
• Integration with Metadata: Merges HRM-derived typing with isolates and patient metadata to generate graphical and tabular outputs for contextual epidemiological analysis.
• Real-Time Surveillance and Outbreak Reconstruction: Supports large-scale real-time surveillance and rapid outbreak reconstruction in hospital settings.

Scientific Applications:

• Nosocomial outbreak investigations: Tracks spread and differentiates clones of pathogens during hospital (nosocomial) outbreaks.
• Hospital surveillance systems: Enables real-time monitoring for early detection and control of infectious diseases in healthcare environments.

Methodology:

Implemented in R; employs a graph-based algorithm to discriminate pathogen clones from HRM data; merges HRM-derived typing with isolate and patient metadata to produce graphical and tabular outputs.