从大型等位基频谱中更快地推断复杂的人口模型
Enes Dilber1, Jonathan Terhorst1
1Department of Statistics, University of Michigan.
bioRxiv : the preprint server for biology
|April 8, 2024
概括
我们介绍momi3,一种用于分析人口遗传学数据的新计算方法. 这种工具显著加快了复杂的人口模型的推断速度,使人们能够更深入地了解人类人口历史.
科学领域:
- 人口遗传学 人口遗传学
- 计算生物学是一种计算生物学.
- 生物信息学是一种生物信息学.
背景情况:
- 从遗传变异推断人口历史对于理解人口动态至关重要.
- 现有的方法面临着大型数据集和复杂模型的计算挑战.
结论:
- momi3为人口推理提供了计算效率和灵活性的显著进步.
- 该方法的性能通过在大型人类基因组数据集中分析古老的添加剂来证明.
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