A deep sequencing tool for partitioning clearance rates following antimalarial treatment in polyclonal infections

Background and objectives: Current tools struggle to detect drug-resistant malaria parasites when infections contain multiple parasite clones, which is the norm in high transmission settings in Africa. Our aim was to develop and apply an approach for detecting resistance that overcomes the challenge...

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Detalles Bibliográficos
Autores principales: Mideo, Nicole, Bailey, Jeffrey A., Hathaway, Nicholas J., Ngasala, Billy, Saunders, David L., Lon, Chanthap, Kharabora, Oksana, Jamnik, Andrew, Balasubramanian, Sujata, Björkman, Anders, Mårtensson, Andreas, Meshnick, Steven R., Read, Andrew F., Juliano, Jonathan J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Original Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4753362/
https://www.ncbi.nlm.nih.gov/pubmed/26817485
http://dx.doi.org/10.1093/emph/eov036

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4753362/
https://www.ncbi.nlm.nih.gov/pubmed/26817485
http://dx.doi.org/10.1093/emph/eov036

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