Inferring strain mixture within clinical plasmodium falciparum isolates from genomic sequence data
We present a rigorous statistical model that infers the structure of P. falciparum mixtures-including the number of strains present, their proportion within the samples, and the amount of unexplained mixture-using whole genome sequence (WGS) data. Applied to simulation data, artificial laboratory mi...
| Main Authors: | , , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
Public Library of Science
2016
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