Literature DB >> 27801980

phylodyn: an R package for phylodynamic simulation and inference.

Michael D Karcher1, Julia A Palacios2,3, Shiwei Lan4, Vladimir N Minin1,5.   

Abstract

We introduce phylodyn, an r package for phylodynamic analysis based on gene genealogies. The package's main functionality is Bayesian nonparametric estimation of effective population size fluctuations over time. Our implementation includes several Markov chain Monte Carlo-based methods and an integrated nested Laplace approximation-based approach for phylodynamic inference that have been developed in recent years. Genealogical data describe the timed ancestral relationships of individuals sampled from a population of interest. Here, individuals are assumed to be sampled at the same point in time (isochronous sampling) or at different points in time (heterochronous sampling); in addition, sampling events can be modelled with preferential sampling, which means that the intensity of sampling events is allowed to depend on the effective population size trajectory. We assume the coalescent and the sequentially Markov coalescent processes as generative models of genealogies. We include several coalescent simulation functions that are useful for testing our phylodynamics methods via simulation studies. We compare the performance and outputs of various methods implemented in phylodyn and outline their strengths and weaknesses. r package phylodyn is available at https://github.com/mdkarcher/phylodyn.
© 2016 John Wiley & Sons Ltd.

Entities:  

Keywords:  Inla; Mcmc; evolutionary theory; population dynamics; population genetics - theoretical

Mesh:

Year:  2016        PMID: 27801980      PMCID: PMC5466693          DOI: 10.1111/1755-0998.12630

Source DB:  PubMed          Journal:  Mol Ecol Resour        ISSN: 1755-098X            Impact factor:   7.090


  17 in total

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10.  Infectious Disease Dynamics Inferred from Genetic Data via Sequential Monte Carlo.

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