目的：提出基因频率矩阵的图论主坐标分析方法，探讨该法在人类群体遗传结构研究中的应用。
Objective: To present the methodology of graph theory principle coordinates analysis and explore its applicability for studying human population genetic structure.
在基因组坐标位置下放置有注释的通道，允许快速可视化不同类型信息间的相关性。
It places annotation tracks beneath genome coordinate positions, allowing rapid visual correlation of different types of information.
通过直接将量子位的Bloch坐标视为基因位，提出一种基于量子位Bloch坐标的量子衍生进化算法。
By directly regarding the Bloch coordinates of qubit as genes in chromosome, a quantum-inspired evolution algorithm is proposed.
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