This interactive web-app is for quick exploration of the published malaria surveillance GRC data.

Data

This version contains data from 17,697 samples from 7 regions (GMS, South Asia, Oceania, South America, Central Africa, East Africa, and West Africa), between 1984 - 2019.

How to cite

grcMapper uses data generated from the MalariaGEN Pf7 data release and the GenRe-Mekong project. Please acknowledge sample contributors and cite:

• MalariaGEN et al. (2023) Pf7: an open dataset of Plasmodium falciparum genome variation in 20,000 worldwide samples. Wellcome Open Research, 8:22
• Jacob CJ et al. (2021) Genetic surveillance in the Greater Mekong Subregion and South Asia to support malaria control and elimination. eLife.62997

Features

Produce graphs and maps:

• Sample count
• Drug resistance prediction (based on validated genetic markers)
• Mutation prevalence
• Allele proportion

ℹ️

App version: Functional Prototype 🐣

How to use

Explore other tools

🐘 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