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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...
Autores principales: | O’Brien, John D., Iqbal, Zamin, Wendler, Jason, Amenga-Etego, Lucas |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4928962/ https://www.ncbi.nlm.nih.gov/pubmed/27362949 http://dx.doi.org/10.1371/journal.pcbi.1004824 |
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