Chi Lianjiang, Dong Yi, Wang Ruizhen, Yang Suiyuan, Wu Lan, Xue Yongbiao, Chen Hua
Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing, 100101, China.
University of Chinese Academy of Sciences, Beijing, 100049, China.
BMC Genomics. 2025 Jan 20;26(1):52. doi: 10.1186/s12864-025-11206-8.
Haplotype networks are useful for investigating the genealogical relationships among haplotypes and have been extensively used in molecular evolution and population genetic studies. However, existing tools for visualizing haplotype networks lack comprehensive functionalities for data exploration and layout adjustments. Therefore, there is a need for a useful tool capable of constructing and visualizing haplotype networks, facilitating the exploration of data, particularly with datasets with large sample sizes.
We present HapNetworkView, a user-friendly tool that facilitates the construction and interactive visualization of haplotype networks, enabling users to explore haplotypes and mutation information effectively. HapNetworkView offers both automatic optimization and manual adjustment for haplotype network layouts. Additionally, HapNetworkView supports various input and output formats, as well as color customization.
These comprehensive functionalities collectively satisfy various needs of users in haplotype network analysis, making HapNetworkView a valuable tool.
单倍型网络对于研究单倍型之间的谱系关系很有用,并且已广泛应用于分子进化和群体遗传学研究。然而,现有的用于可视化单倍型网络的工具缺乏数据探索和布局调整的综合功能。因此,需要一种有用的工具,能够构建和可视化单倍型网络,便于数据探索,特别是对于大样本量的数据集。
我们展示了HapNetworkView,这是一个用户友好的工具,便于单倍型网络的构建和交互式可视化,使用户能够有效地探索单倍型和突变信息。HapNetworkView为单倍型网络布局提供自动优化和手动调整。此外,HapNetworkView支持各种输入和输出格式,以及颜色定制。
这些综合功能共同满足了用户在单倍型网络分析中的各种需求,使HapNetworkView成为一个有价值的工具。