mapPat

mapPat enables interactive visualization of pathogen genomic data in space and time for dynamic monitoring of variant evolution and circulation.

Key Features:

• Geographic Mapping: Generates informative geographic maps showing pathogen evolution and circulation patterns.
• Temporal Visualization: Displays temporal dynamics of pathogen genomic data through data visuals.
• Variant Tracking: Monitors evolution of variants, lineages, and mutations in pathogen genomes.

Scientific Applications:

• Genomic Surveillance: Supports public health decision-making through monitoring of pathogen evolution and spread.
• Pandemic Response: Facilitates rapid interpretation of large-scale pathogen genomic data during infectious disease outbreaks.

Methodology:

mapPat is implemented as an R Shiny application.