diplo-locus:一种轻量级的工具包,用于推断和模拟在一般双胞胎选择下时间序列遗传数据
Xiaoheng Cheng1, Matthias Steinrücken1,2
1Department of Ecology and Evolution, University of Chicago, Chicago, IL, USA.
bioRxiv : the preprint server for biology
|October 31, 2023
概括
新的软件Diplo-locus有助于研究人员分析遗传变异动态. 这个工具简化了选择压力的研究,使用来自古代DNA和实验进化的时间序列等位基因频率数据.
科学领域:
- 人口遗传学 人口遗传学
- 进化生物学 进化生物学
- 生物信息学是一种生物信息学.
背景情况:
- 全基因组时间序列的等位基因频率数据越来越多地来自古代DNA (aDNA) 和进化和再序列 (E&R) 研究.
- 从这些数据中选择基因变异动态的分析对于理解进化过程至关重要.
- 现有的从等位基频率轨迹推断选择模型参数的方法往往缺乏对大规模应用的用户友好的实现.
研究的目的:
- 介绍Diplo-locus,一个开源的Python包,旨在模拟和推断从时间序列等位基频率数据的参数.
- 提供一个用户友好的工具,用赖特-菲舍尔扩散模型分析双倍选择动态.
主要方法:
- 开发一个开源的Python包, diplo-locus.
- 实现模拟时间序列数据的功能.
- 在Wright-Fisher扩散模型下进行推断的方法,包括具有一般双倍选择的推断方法.
主要成果:
- 该Diplo-locus包提供Python模块和命令行工具.
- 它有助于分析复杂的遗传变异数据,包括aDNA和E&R数据集.
- 该包为人口遗传学的大规模实证应用提供了实际解决方案.
结论:
- 双座增强了研究在选择下遗传变异动态的能力.
- 该工具使时间序列等位基频率数据的分析为进化研究的民主化.
- 作为开源软件的可用性促进了更广泛的采用和该领域的进一步发展.
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