Scalable, interactive and hierarchical visualization of virus taxonomic data

被引:0
|
作者
Balakavi, Kashyap [1 ]
Janga, Rushitha [1 ]
Shovon, Aluncdur Ralunan [1 ]
Dcmpscy, Don [2 ]
Lefkowitz, Elliot [2 ]
Kumar, Sidharth [1 ]
机构
[1] Univ Alabama Birmingham, Dept Comp Sci, Birmingham, AL 35294 USA
[2] Univ Alabama Birmingham, Dept Microbiol, Birmingham, AL 35294 USA
基金
美国国家卫生研究院;
关键词
TREE VISUALIZATION;
D O I
10.1109/VAHC60858.2023.00012
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The International Committee on Taxonomy of Viruses (ICTV) (https://ictv.global) maintains a database of virus taxonomy, including records from 1971 up to the most recent release in 2022. Recent years have seen an increasing number of viruses, recording 11,273 distinct species in the latest report. Exploring this increasingly high number of species requires a custom data visualization approach that is both scalable and interactive. Our paper presents a structure-preserving, collapsible, node-link layout-based hierarchical visualization called the Visual Taxonomy Browser (https://ictv.global/taxonomy/visual-browser), for the virus taxonomy dataset. Developed in collaboration with micro-biologists, our visualization improves over the existing Taxonomy Browser (https://ictv.global/taxonomy) which is a stacked bar-based approach that lacks scalability and does not preserve the underlying topological structure of the taxonomy. The Visual Taxonomy Browser has been deployed on the ICTV website and has been serving virologists from across the world.
引用
收藏
页码:34 / 40
页数:7
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