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Poster communications

AquaPony: Visualization and interpretation of phylogeographic information on phylogenetic trees

Abstract : The visualization and interpretation of evolutionary spatiotemporal scenarios is broadly and increasingly used in infectious disease research, ecology, or agronomy. Using probabilistic frameworks, well-known tools can infer from molecular data ancestral traits for internal nodes in a phylogeny, and numerous phylogenetic rendering tools can display such evolutionary trees. However, visualizing such ancestral information and its uncertainty on the tree remains tedious. For instance, ancestral nodes can be associated to several geographical annotations with close probabilities and thus, several migration or transmission scenarios exist. We expose a webbased tool, named AquaPony, that facilitates such operations. Given an evolutionary tree with geographic annotations, the user can easily control the display of ancestral information on the entire tree or a subtree, and can view alternative phylogeographic scenarios along a branch according to a chosen uncertainty threshold. AquaPony interactively visualizes the tree and eases the objective interpretation of evolutionary scenarios. AquaPony’s implementation makes it highly responsive to user interaction, which instantaneously update the tree visualizations even for large trees (which can be exported as image files).
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Poster communications
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https://hal.inrae.fr/hal-02733925
Contributor : Migration Prodinra <>
Submitted on : Tuesday, June 2, 2020 - 1:10:47 PM
Last modification on : Tuesday, February 2, 2021 - 3:34:14 AM
Long-term archiving on: : Wednesday, December 2, 2020 - 1:12:23 PM

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  • HAL Id : hal-02733925, version 1
  • PRODINRA : 461058

Citation

Bastien Cazaux, Guillaume Castel, Eric Rivals. AquaPony: Visualization and interpretation of phylogeographic information on phylogenetic trees. Journées Ouvertes en Biologie, Informatique et Mathématiques (JOBIM), Jul 2018, Marseilles, France. 2018, Journées Ouvertes en Biologie, Informatique et Mathématiques : JOBIM 2018 Abstracts. ⟨hal-02733925⟩

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