Evaluating genome similarity among individuals is an essential step in data analysis. Advanced sequencing technology detects more and rarer variants for massive individual genomes, thus enabling individual-level genome similarity evaluation. However, the current methodologies such as the principal component analysis (PCA) lack the capability to fully leverage rare variants, and are also difficult to interpret in terms of population genetics.

中文翻译：

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用主题模型评估个体基因组相似性。

评估个体之间的基因组相似性是数据分析中必不可少的步骤。先进的测序技术可检测大量单个基因组的稀有变体，从而可以进行单个水平的基因组相似性评估。但是，当前的方法（例如主成分分析（PCA））缺乏充分利用稀有变体的能力，并且也难以从群体遗传学角度进行解释。