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PhyloGeoTool: interactively exploring large phylogenies in an epidemiological context

MOTIVATION: Clinicians, health officials and researchers are interested in the epidemic spread of pathogens in both space and time to support the optimization of intervention measures and public health policies. Large sequence databases of virus sequences provide an interesting opportunity to study...

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Autores principales: Libin, Pieter, Vanden Eynden, Ewout, Incardona, Francesca, Nowé, Ann, Bezenchek, Antonia, Sönnerborg, Anders, Vandamme, Anne-Mieke, Theys, Kristof, Baele, Guy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860094/
https://www.ncbi.nlm.nih.gov/pubmed/28961923
http://dx.doi.org/10.1093/bioinformatics/btx535
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author Libin, Pieter
Vanden Eynden, Ewout
Incardona, Francesca
Nowé, Ann
Bezenchek, Antonia
Sönnerborg, Anders
Vandamme, Anne-Mieke
Theys, Kristof
Baele, Guy
author_facet Libin, Pieter
Vanden Eynden, Ewout
Incardona, Francesca
Nowé, Ann
Bezenchek, Antonia
Sönnerborg, Anders
Vandamme, Anne-Mieke
Theys, Kristof
Baele, Guy
author_sort Libin, Pieter
collection PubMed
description MOTIVATION: Clinicians, health officials and researchers are interested in the epidemic spread of pathogens in both space and time to support the optimization of intervention measures and public health policies. Large sequence databases of virus sequences provide an interesting opportunity to study this spread through phylogenetic analysis. To infer knowledge from large phylogenetic trees, potentially encompassing tens of thousands of virus strains, an efficient method for data exploration is required. The clades that are visited during this exploration should be annotated with strain characteristics (e.g. transmission risk group, tropism, drug resistance profile) and their geographic context. RESULTS: PhyloGeoTool implements a visual method to explore large phylogenetic trees and to depict characteristics of strains and clades, including their geographic context, in an interactive way. PhyloGeoTool also provides the possibility to position new virus strains relative to the existing phylogenetic tree, allowing users to gain insight in the placement of such new strains without the need to perform a de novo reconstruction of the phylogeny. AVAILABILITY AND IMPLEMENTATION: https://github.com/rega-cev/phylogeotool (Freely available: open source software project). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-58600942018-03-23 PhyloGeoTool: interactively exploring large phylogenies in an epidemiological context Libin, Pieter Vanden Eynden, Ewout Incardona, Francesca Nowé, Ann Bezenchek, Antonia Sönnerborg, Anders Vandamme, Anne-Mieke Theys, Kristof Baele, Guy Bioinformatics Applications Notes MOTIVATION: Clinicians, health officials and researchers are interested in the epidemic spread of pathogens in both space and time to support the optimization of intervention measures and public health policies. Large sequence databases of virus sequences provide an interesting opportunity to study this spread through phylogenetic analysis. To infer knowledge from large phylogenetic trees, potentially encompassing tens of thousands of virus strains, an efficient method for data exploration is required. The clades that are visited during this exploration should be annotated with strain characteristics (e.g. transmission risk group, tropism, drug resistance profile) and their geographic context. RESULTS: PhyloGeoTool implements a visual method to explore large phylogenetic trees and to depict characteristics of strains and clades, including their geographic context, in an interactive way. PhyloGeoTool also provides the possibility to position new virus strains relative to the existing phylogenetic tree, allowing users to gain insight in the placement of such new strains without the need to perform a de novo reconstruction of the phylogeny. AVAILABILITY AND IMPLEMENTATION: https://github.com/rega-cev/phylogeotool (Freely available: open source software project). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2017-12-15 2017-08-26 /pmc/articles/PMC5860094/ /pubmed/28961923 http://dx.doi.org/10.1093/bioinformatics/btx535 Text en © The Author 2017. Published by Oxford University Press. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Libin, Pieter
Vanden Eynden, Ewout
Incardona, Francesca
Nowé, Ann
Bezenchek, Antonia
Sönnerborg, Anders
Vandamme, Anne-Mieke
Theys, Kristof
Baele, Guy
PhyloGeoTool: interactively exploring large phylogenies in an epidemiological context
title PhyloGeoTool: interactively exploring large phylogenies in an epidemiological context
title_full PhyloGeoTool: interactively exploring large phylogenies in an epidemiological context
title_fullStr PhyloGeoTool: interactively exploring large phylogenies in an epidemiological context
title_full_unstemmed PhyloGeoTool: interactively exploring large phylogenies in an epidemiological context
title_short PhyloGeoTool: interactively exploring large phylogenies in an epidemiological context
title_sort phylogeotool: interactively exploring large phylogenies in an epidemiological context
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5860094/
https://www.ncbi.nlm.nih.gov/pubmed/28961923
http://dx.doi.org/10.1093/bioinformatics/btx535
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