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Haplotype Explorer: an infection cluster visualization tool for spatiotemporal dissection of the COVID-19 pandemic

The worldwide eruption of coronavirus disease 2019 (COVID-19) that began in Wuhan, China in late 2019 reached 10 million cases by late June 2020. In order to understand the epidemiological landscape of the COVID-19 pandemic, many studies have attempted to elucidate phylogenetic relationships between...

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Autores principales: Kawano-Sugaya, Tetsuro, Yatsu, Koji, Sekizuka, Tsuyoshi, Itokawa, Kentaro, Hashino, Masanori, Tanaka, Rina, Kuroda, Makoto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8135534/
https://www.ncbi.nlm.nih.gov/pubmed/33892501
http://dx.doi.org/10.1093/g3journal/jkab126
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author Kawano-Sugaya, Tetsuro
Yatsu, Koji
Sekizuka, Tsuyoshi
Itokawa, Kentaro
Hashino, Masanori
Tanaka, Rina
Kuroda, Makoto
author_facet Kawano-Sugaya, Tetsuro
Yatsu, Koji
Sekizuka, Tsuyoshi
Itokawa, Kentaro
Hashino, Masanori
Tanaka, Rina
Kuroda, Makoto
author_sort Kawano-Sugaya, Tetsuro
collection PubMed
description The worldwide eruption of coronavirus disease 2019 (COVID-19) that began in Wuhan, China in late 2019 reached 10 million cases by late June 2020. In order to understand the epidemiological landscape of the COVID-19 pandemic, many studies have attempted to elucidate phylogenetic relationships between collected viral genome sequences using haplotype networks. However, currently available applications for network visualization are not suited to understand the COVID-19 epidemic spatiotemporally due to functional limitations that motivated us to develop Haplotype Explorer, an intuitive tool for visualizing and exploring haplotype networks. Haplotype Explorer enables to dissect epidemiological consequences via interactive node filters and provides the perspective on infectious disease dynamics depend on regions and time, such as introduction, outbreak, expansion, and containment. Here, we demonstrate the effectiveness of Haplotype Explorer by showing features and an example of visualization. The demo using severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes are available at https://github.com/TKSjp/HaplotypeExplorer/blob/master/Example/. There are several examples using SARS-CoV-2 genomes and Dengue virus serotype 1 E-genes sequence.
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spelling pubmed-81355342021-05-21 Haplotype Explorer: an infection cluster visualization tool for spatiotemporal dissection of the COVID-19 pandemic Kawano-Sugaya, Tetsuro Yatsu, Koji Sekizuka, Tsuyoshi Itokawa, Kentaro Hashino, Masanori Tanaka, Rina Kuroda, Makoto G3 (Bethesda) Investigation The worldwide eruption of coronavirus disease 2019 (COVID-19) that began in Wuhan, China in late 2019 reached 10 million cases by late June 2020. In order to understand the epidemiological landscape of the COVID-19 pandemic, many studies have attempted to elucidate phylogenetic relationships between collected viral genome sequences using haplotype networks. However, currently available applications for network visualization are not suited to understand the COVID-19 epidemic spatiotemporally due to functional limitations that motivated us to develop Haplotype Explorer, an intuitive tool for visualizing and exploring haplotype networks. Haplotype Explorer enables to dissect epidemiological consequences via interactive node filters and provides the perspective on infectious disease dynamics depend on regions and time, such as introduction, outbreak, expansion, and containment. Here, we demonstrate the effectiveness of Haplotype Explorer by showing features and an example of visualization. The demo using severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes are available at https://github.com/TKSjp/HaplotypeExplorer/blob/master/Example/. There are several examples using SARS-CoV-2 genomes and Dengue virus serotype 1 E-genes sequence. Oxford University Press 2021-04-23 /pmc/articles/PMC8135534/ /pubmed/33892501 http://dx.doi.org/10.1093/g3journal/jkab126 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Genetics Society of America. https://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/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Investigation
Kawano-Sugaya, Tetsuro
Yatsu, Koji
Sekizuka, Tsuyoshi
Itokawa, Kentaro
Hashino, Masanori
Tanaka, Rina
Kuroda, Makoto
Haplotype Explorer: an infection cluster visualization tool for spatiotemporal dissection of the COVID-19 pandemic
title Haplotype Explorer: an infection cluster visualization tool for spatiotemporal dissection of the COVID-19 pandemic
title_full Haplotype Explorer: an infection cluster visualization tool for spatiotemporal dissection of the COVID-19 pandemic
title_fullStr Haplotype Explorer: an infection cluster visualization tool for spatiotemporal dissection of the COVID-19 pandemic
title_full_unstemmed Haplotype Explorer: an infection cluster visualization tool for spatiotemporal dissection of the COVID-19 pandemic
title_short Haplotype Explorer: an infection cluster visualization tool for spatiotemporal dissection of the COVID-19 pandemic
title_sort haplotype explorer: an infection cluster visualization tool for spatiotemporal dissection of the covid-19 pandemic
topic Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8135534/
https://www.ncbi.nlm.nih.gov/pubmed/33892501
http://dx.doi.org/10.1093/g3journal/jkab126
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