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

Our approach for detecting drug resistance identifies rare resistant parasites in polyclonal infections through their phenotypic signature. By translating genetic data to clearance phenotypes of parasite subpopulations in malaria infections, we found rare slow clearing parasites in Tanzania where resistance to front-line drugs is not thought to be a problem.

• Publication year

  2016

• Venue

  Evolution, Medicine and Public Health

• Publication date

  2016-01-27

• Fields of study

  Biology, Medicine, Environmental Science

• Identifiers
  DOI 10.1093/emph/eov036PMID 26817485PMCID 4753362
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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