Abstract
Parasite and vector genetic data can guide malaria control, and technological advances are enabling more informative genetic data generation at unprecedented scales. Jacob et al. employ multiplexed amplicon sequencing to profile parasite genetic diversity from thousands of malaria samples, illuminating spatiotemporal patterns of drug resistance to inform regional drug policy change.
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