Pathogen Genomics Center, National Institute of Infectious Diseases, Toyama 1-23-1, Shinjuku, Tokyo, Japan.
G3 (Bethesda). 2021 Aug 7;11(8). doi: 10.1093/g3journal/jkab126.
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.
自 2019 年底中国武汉爆发 2019 年冠状病毒病(COVID-19)以来,全球病例数于 2020 年 6 月下旬达到 1000 万例。为了了解 COVID-19 大流行的流行病学情况,许多研究试图利用单倍型网络阐明收集到的病毒基因组序列之间的系统发育关系。然而,由于功能限制,目前可用的网络可视化应用程序并不适合从时空上理解 COVID-19 疫情,这促使我们开发了 Haplotype Explorer,这是一种直观的可视化和探索单倍型网络的工具。Haplotype Explorer 通过交互式节点过滤器来剖析流行病学后果,并提供了根据地区和时间(如传入、爆发、扩展和控制)了解传染病动态的视角。在这里,我们通过展示功能和可视化示例来说明 Haplotype Explorer 的有效性。使用严重急性呼吸系统综合症冠状病毒 2(SARS-CoV-2)基因组的演示可在 https://github.com/TKSjp/HaplotypeExplorer/blob/master/Example/ 上获取。还有几个使用 SARS-CoV-2 基因组和登革热病毒血清型 1 E 基因序列的示例。