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Inferring influenza global transmission networks without complete phylogenetic information
Influenza is one of the most severe respiratory infections affecting humans throughout the world, yet the dynamics of its global transmission network are still contentious. Here, I describe a novel combination of phylogenetics, time series, and graph theory to analyze 14.25 years of data stratified...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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John Wiley & Sons Ltd
2014
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3962300/ https://www.ncbi.nlm.nih.gov/pubmed/24665342 http://dx.doi.org/10.1111/eva.12138 |