Bayesian inference of reassortment networks reveals fitness benefits of reassortment in human influenza viruses

Abstract excerpt

Reassortment is an important source of genetic diversity in segmented viruses and is the main source of novel pathogenic influenza viruses. Despite this, studying the reassortment process has been constrained by the lack of a coherent, model-based inference framework. We here introduce a novel coalescent based model that allows us to explicitly model the joint coalescent and reassortment process. In order to perfo...

Topics

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• Animal Disease Management and Epidemiology
• COVID-19 epidemiological studies
• Evolution and Genetic Dynamics
• Genomics and Phylogenetic Studies
• Influenza Virus Research Studies
• Machine Learning in Bioinformatics
• RNA and protein synthesis mechanisms
• SARS-CoV-2 and COVID-19 Research

Identifiers and source

Literature Corpus work

5db981ae-e049-523b-9fbb-00e56711bed9

DOI

10.1101/726042