Bioinformatics for Evolutionary Analysis of Complex and Abundant Biological Data

以图形或自然语言表示的丰富而复杂的生物数据正在迅速积累。在这项研究中，我们开发了生物信息学技术来分析这些数据，同时考虑系统发育关系。这些技术包括轮树法，一种考虑模糊系统发育拓扑的系统发育关系表示方法；NaviCluster，一个用于交互式调查复杂和大型生物网络的工具；以及一个综合连接基因和表型的数据库。

Abundant and complex biological data represented in graphs or natural languages are rapidly accumulating. In this research, we developed bioinformatics technologies to analyze those data while considering phylogenetic relationships. These technologies are the wheel tree method, a phylogenetic relationship representation method considering vague phylogenetic topologies ; NaviCluster, a tool for interactively investigating complex and large biological networks ; and a database for comprehensively connecting genes and phenotypes.