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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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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. |
format | Online Article Text |
id | pubmed-5860094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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