slendr:在地理景观上进行时空人口基因组模拟的框架
Martin Petr1,2, Benjamin C Haller3, Peter L Ralph4
1Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Denmark.
概括
本研究介绍了slendr,一个用于模拟空间显式基因组数据的R包. 它解决了对模拟空间和时间跨越进化过程的工具的需求,使得人口遗传学研究更加现实.
科学领域:
- 人口遗传学 人口遗传学
- 进化生物学是进化的生物学.
- 基因组数据模拟基因组数据模拟
背景情况:
- 进化力量塑造了随着时间和空间的推移而发生的遗传变异.
- 空间组件,如距离的隔离,在人口遗传学中经常被忽视.
- 缺乏专门的工具阻碍了复杂的时空人口遗传建模.
研究的目的:
- 引入一个新的框架来模拟空间显式基因组数据.
- 解决空间时间人口遗传建模中的方法差距.
- 提供一个R包 (slendr) 来构建和评估这些模型.
主要方法:
- 开发了带有 SLiM 模拟后端的 slendr R 包.
- 启用了空间人口范围和时间动态的程序和视觉编码.
- 与TSKIT集成,用于R.内的树序处理和分析.
主要成果:
- slendr允许在真实或定制的景观上模拟空间显式基因组数据.
- 用户可以使用声明语言来定义人口动态,分裂和基因流动.
- 该包支持SLiM和msprime后端,用于灵活的模型模拟.
结论:
- slendr 提供了一种高效且可重复的解决方案,用于在 R.中进行时空基因组数据模拟.
- 该框架有助于整合地理空间分析,统计和可视化.
- 在人口遗传学和进化研究中为现实的建模开辟了新的可能性.
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