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February 26, 2026Bioinformatics0 citationsOpen Access

SERAPHIM 2.0: an extended toolbox for studying phylogenetically informed movements

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SDSimon DellicourNFNuno R. FariaRRRebecca Rose

Key Points

  • The research presents the second version of the R package 'seraphim' for phylogeographic analysis.
  • Developed an R package named 'seraphim' for analyzing phylogeographic data.
  • Implemented visualisation tools and lineage dispersal metrics estimations.
  • Included phylogeographic simulators and hypothesis testing for environmental impacts.
  • The package allows for comprehensive visualization of phylogeographic inferences.
  • It provides new metrics for lineage dispersal in molecular epidemiology studies.
  • Integration of environmental factors significantly affects lineage dispersal characteristics.

Abstract

Abstract Summary We report the second version of the R package “seraphim”, a toolbox developed to process and analyse the output of spatially-explicit phylogeographic reconstructions. This approach—also known as continuous phylogeographic inference—is commonly used in molecular epidemiology to reconstruct the dispersal history and spatiotemporal dynamics of rapidly evolving pathogens. The “seraphim” package now implements a broad range of features including (i) visualisation of phylogeographic inferences, (ii) estimation of lineage dispersal metrics, (iii) several phylogeographic simulators, and (iv) hypothesis testing procedures to investigate the impact of environmental factors on variables such as diffusion velocity, dispersal location, and dispersal frequency of phylogenetic lineages. Availability and Implementation The package is openly available (https://github.com/sdellicour/seraphim) along with a series of tutorials describing the different analytical procedures it implements. Supplementary information Supplementary data are available at Bioinformatics online.

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Cite This Study

Dellicour et al. (2026) studied this question.

synapsesocial.com/papers/699f95a81bc9fecf3dab3b62https://doi.org/10.1093/bioinformatics/btag093
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