Data from: Inferring HIV-1 transmission networks and sources of epidemic spread in Africa with deep-sequence phylogenetic analysis

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关键词：

Transmission networks;HIV;Infectious disease epidemiology;2011-2015;phylogenetics;Deep-sequence phylogenetics;HIV prevention;Phylodynamics

DOI：

doi:10.5061/dryad.7h46hg2

摘要：

ssion networks, and infer the direction of transmission within them at an estimated error rate of 16.3% [8.8–28.3%]. With this error rate, deep-sequence phylogenetics cann

Data from: A relaxed directional random walk model for phylogenetic trait evolution

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关键词：

Diffusion Processes;phylogeography;phylogenetics;Phylodynamics;Brownian motion;trait evolution

DOI：

doi:10.5061/dryad.v43rd

摘要：

a clearer, more detailed picture of the dynamics of viral dispersal than standard Brownian diffusion. Second, we study antigenic evolution in the context

Data from: Understanding past population dynamics: Bayesian coalescent-based modeling with covariates

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关键词：

population genetics;Gaussian Markov Random Fields;phylogenetics;coalescent;Bayesian inference;Phylodynamics;Evolutionary Biology;effective population size

DOI：

doi:10.5061/dryad.mj0hn

摘要：

histories. Furthermore, it can lead to more precise estimates of population dynamics. We apply our model to four examples. We reconstruct

Data from: Adaptive estimation for epidemic renewal and phylogenetic skyline models

负责人：

关键词：

Phylodynamics;Epidemiology;Skyline plots;Renewal models;Coalescent processes;model selection;Information theory

DOI：

doi:10.5061/dryad.mpg4f4qv6

摘要：

ive population size, N, underlying a phylogeny of sequences sampled from that epidemic. Practically, R measures ongoing epidemic growth while N informs on historical caseload