Waese Jamie, Provart Nicholas J, Guttman David S
Department of Cell & Systems Biology, University of Toronto, Toronto, Ontario.
Centre for the Analysis of Genome Evolution & Function, University of Toronto, Toronto, Ontario.
PLoS One. 2017 May 1;12(5):e0175895. doi: 10.1371/journal.pone.0175895. eCollection 2017.
Phylogenetic trees are the de facto standard for visualizing evolutionary relationships, but large trees can be difficult to interpret because they require a high cognitive load to identify relationships between multiple operational taxonomic units (OTUs). We present a new tool for displaying phylogenetic relationships as a topographic map in which OTUs autonomously attract or repel one another based on their individual branch lengths and distance to a common ancestor. This data visualization paradigm makes it possible to preattentively identify the nature of the relationship between items without having to trace a complex network of branches back to the root. This tool was developed for exploring phylogenetic data, but the technique could be extended for visualizing other hierarchical structures as well.
系统发育树是可视化进化关系的实际标准,但大型树可能难以解读,因为识别多个操作分类单元(OTU)之间的关系需要较高的认知负荷。我们提出了一种将系统发育关系显示为地形图的新工具,其中OTU根据其各自的分支长度和到共同祖先的距离自动相互吸引或排斥。这种数据可视化范式使得无需将复杂的分支网络追溯到根部就能预先注意到项目之间关系的性质成为可能。该工具是为探索系统发育数据而开发的,但该技术也可扩展用于可视化其他层次结构。