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Topo-phylogeny: Visualizing evolutionary relationships on a topographic landscape

Phylogenetic trees are the de facto standard for visualizing evolutionary relationships, but large trees can be difficult to interpret because they require a high cognitive load to identify relationships between multiple operational taxonomic units (OTUs). We present a new tool for displaying phylog...

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Detalles Bibliográficos
Autores principales: Waese, Jamie, Provart, Nicholas J., Guttman, David S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5411050/
https://www.ncbi.nlm.nih.gov/pubmed/28459802
http://dx.doi.org/10.1371/journal.pone.0175895
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author Waese, Jamie
Provart, Nicholas J.
Guttman, David S.
author_facet Waese, Jamie
Provart, Nicholas J.
Guttman, David S.
author_sort Waese, Jamie
collection PubMed
description Phylogenetic trees are the de facto standard for visualizing evolutionary relationships, but large trees can be difficult to interpret because they require a high cognitive load to identify relationships between multiple operational taxonomic units (OTUs). We present a new tool for displaying phylogenetic relationships as a topographic map in which OTUs autonomously attract or repel one another based on their individual branch lengths and distance to a common ancestor. This data visualization paradigm makes it possible to preattentively identify the nature of the relationship between items without having to trace a complex network of branches back to the root. This tool was developed for exploring phylogenetic data, but the technique could be extended for visualizing other hierarchical structures as well.
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spelling pubmed-54110502017-05-12 Topo-phylogeny: Visualizing evolutionary relationships on a topographic landscape Waese, Jamie Provart, Nicholas J. Guttman, David S. PLoS One Research Article Phylogenetic trees are the de facto standard for visualizing evolutionary relationships, but large trees can be difficult to interpret because they require a high cognitive load to identify relationships between multiple operational taxonomic units (OTUs). We present a new tool for displaying phylogenetic relationships as a topographic map in which OTUs autonomously attract or repel one another based on their individual branch lengths and distance to a common ancestor. This data visualization paradigm makes it possible to preattentively identify the nature of the relationship between items without having to trace a complex network of branches back to the root. This tool was developed for exploring phylogenetic data, but the technique could be extended for visualizing other hierarchical structures as well. Public Library of Science 2017-05-01 /pmc/articles/PMC5411050/ /pubmed/28459802 http://dx.doi.org/10.1371/journal.pone.0175895 Text en © 2017 Waese et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Waese, Jamie
Provart, Nicholas J.
Guttman, David S.
Topo-phylogeny: Visualizing evolutionary relationships on a topographic landscape
title Topo-phylogeny: Visualizing evolutionary relationships on a topographic landscape
title_full Topo-phylogeny: Visualizing evolutionary relationships on a topographic landscape
title_fullStr Topo-phylogeny: Visualizing evolutionary relationships on a topographic landscape
title_full_unstemmed Topo-phylogeny: Visualizing evolutionary relationships on a topographic landscape
title_short Topo-phylogeny: Visualizing evolutionary relationships on a topographic landscape
title_sort topo-phylogeny: visualizing evolutionary relationships on a topographic landscape
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5411050/
https://www.ncbi.nlm.nih.gov/pubmed/28459802
http://dx.doi.org/10.1371/journal.pone.0175895
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