Selected article for: "maximum likelihood and phylogenetic tree"

Author: Smith, Gavin J. D.; Bahl, Justin; Vijaykrishna, Dhanasekaran
Title: Genetic Analysis
  • Cord-id: iweeddlz
  • Document date: 2012_2_18
  • ID: iweeddlz
    Snippet: Genetic analysis of sequence data is central to determining the evolutionary history and molecular epidemiology of viruses, particularly those such as influenza A virus that have complex ecosystems involving multiple hosts. Here we provide an outline of routine phylogenetic analyses of influenza A viruses including multiple sequence alignment, selecting the best-fit evolutionary model and phylogenetic tree reconstruction using Neighbor joining, Maximum likelihood, and Bayesian inference.
    Document: Genetic analysis of sequence data is central to determining the evolutionary history and molecular epidemiology of viruses, particularly those such as influenza A virus that have complex ecosystems involving multiple hosts. Here we provide an outline of routine phylogenetic analyses of influenza A viruses including multiple sequence alignment, selecting the best-fit evolutionary model and phylogenetic tree reconstruction using Neighbor joining, Maximum likelihood, and Bayesian inference.

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