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

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

Abstract 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 w...

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Bibliographic Details
Main Authors: Wouter Deelder, Ernest Diez Benavente, Jody Phelan, Emilia Manko, Susana Campino, Luigi Palla, Taane G. Clark
Format: Article
Language:English
Published: BMC 2021-06-01
Series:Malaria Journal
Subjects:
Plasmodium falciparum
Plasmodium vivax
Population genomics
Drug resistance
Machine learning
Positive selection
Online Access:https://doi.org/10.1186/s12936-021-03788-x

Internet

https://doi.org/10.1186/s12936-021-03788-x

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