Using deep learning to identify recent positive selection in malaria parasite sequence data

Abstract excerpt

BACKGROUND: Malaria, caused by Plasmodium parasites, is a major global public health problem. To assist an understanding of malaria pathogenesis, including drug resistance, there is a need for the timely detection of underlying genetic mutations and their spread. With the increasing use of whole-genome sequencing (WGS) of Plasmodium DNA, the potential of deep learning models to detect loci under recent positive...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Malaria Research and Control
• Share to vaccines and immunoinformatics approaches