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SERAPHIM 2.0: an extended toolbox for studying phylogenetically informed movements.

Simon Dellicour1,2,3, Nuno R Faria4,5, Rebecca Rose6

  • 1Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles (ULB), Brussels 1050, Belgium.

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Summary
This summary is machine-generated.

The updated "seraphim" R package enhances phylogeographic analysis for pathogen evolution. It offers new tools for visualizing dispersal, estimating movement metrics, and testing environmental impacts on pathogen spread.

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Area of Science:

  • Computational Biology
  • Molecular Epidemiology
  • Bioinformatics

Background:

  • Spatially-explicit phylogeographic reconstructions are crucial for understanding pathogen evolution.
  • Continuous phylogeographic inference aids in reconstructing pathogen dispersal history and spatiotemporal dynamics.

Purpose of the Study:

  • To introduce the second version of the R package "seraphim".
  • To provide an enhanced toolbox for processing and analyzing spatially-explicit phylogeographic reconstructions.

Main Methods:

  • The "seraphim" package offers features for visualizing phylogeographic inferences.
  • Includes estimation of lineage dispersal metrics and phylogeographic simulators.
  • Implements hypothesis testing for environmental factors influencing dispersal velocity, location, and frequency.

Main Results:

  • The package facilitates comprehensive analysis of pathogen dispersal patterns.
  • Enables detailed investigation into the drivers of pathogen spread.

Conclusions:

  • The "seraphim" R package is a valuable resource for molecular epidemiology.
  • Version 2 expands capabilities for analyzing pathogen spatiotemporal dynamics and environmental influences.