To facilitate translation of these data into actionable information for public health, we developed the grcMalaria R package, which specifically takes information from SpotMalaria’s Genetic Report Cards (GRC) to produce intuitive geographical map of prevalence, diversity and relatedness. This software library is also capable of identifying circulating strains, characterizing their drug resistance profile, and mapping their spread.
🐘 grcMalaria R tool
An R package that turns genomic data into meaningful graphical visualizations that support NMCP activities. Specifically, it uses the GRCs as input and produces geographical maps of malaria resistance prevalence, diversity and relatedness. Suitable for: ☑️ Comprehensive genetic epidemiological analyses ☑️ Using your own GRC datasheet
A guide to the grcMalaria R package
📖 grcMalaria R package User Guide
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Don’t know how to start?
Watch installation guide:
📺 Installation to R and grcMalaria R package
Watch tutorials on the grcMalaria R package (Module 2):
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grcMalaria R package Github page
🦢 grcMapper web-app
Interactive web-based tool based on some functionalities of the grcMalaria R package. Produce maps without running codes. Suitable for: ☑️ quick exploration and visualisation of published GRC data
Access to the tool
➡️ grcMapper app