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popRange: a highly flexible spatially and temporally explicit Wright-Fisher simulator

机译：popRange：高度灵活的时空明确的Wright-Fisher模拟器

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Background Sequencing and genotyping technology advancements have led to massive, growing repositories of spatially explicit genetic data and increasing quantities of temporal data (i.e., ancient DNA). These data will allow more complex and fine-scale inferences about population history than ever before; however, new methods are needed to test complex hypotheses. Results This article presents popRange, a forward genetic simulator, which incorporates large-scale genetic data with stochastic spatially and temporally explicit demographic and selective models. Features such as spatially and temporally variable selection coefficients and demography are incorporated in a highly flexible manner. popRange is implemented as an R package and presented with an example simulation exploring a selected allele’s trajectory in multiple subpopulations. Conclusions popRange allows researchers to evaluate and test complex scenarios by simulating large-scale data with complicated demographic and selective features. popRange is available for download at http://cran.r-project.org/web/packages/popRange/index.html webcite.
机译：背景技术测序和基因分型技术的进步已导致大量，不断增长的空间显式遗传数据存储库和越来越多的时态数据（即古代DNA）的存储。这些数据将比以往更复杂，更精细地推断出人口历史;但是，需要新的方法来检验复杂的假设。结果本文介绍了前向遗传模拟器popRange，该模型将大规模遗传数据与随机的时空明确人口统计和选择性模型结合在一起。诸如空间和时间上可变的选择系数和人口统计学的特征以高度灵活的方式被并入。 popRange以R包的形式实现，并提供了一个示例模拟，用于探索多个亚群中选定等位基因的轨迹。结论popRange允许研究人员通过模拟具有复杂的人口统计和选择性特征的大规模数据来评估和测试复杂的方案。可从http://cran.r-project.org/web/packages/popRange/index.html网站上下载popRange。

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