Simulation plays a central role in population genomics studies. Recent years have seen rapid improvements in software efficiency that make it possible to simulate large genomic regions for many individuals sampled from large numbers of populations. As the complexity of the demographic models we study grows, however, there is an ever-increasing opportunity to introduce bugs in their implementation. Here, we describe two errors made in defining population genetic models using the msprime coalescent simulator that have found their way into the published record. We discuss how these errors have affected downstream analyses and give recommendations for software developers and users to reduce the risk of such errors.

模拟在种群基因组学研究中起着核心作用。近年来，软件效率迅速提高，这使得有可能为大量人口中的许多人模拟较大的基因组区域。但是，随着我们研究的人口统计模型的复杂性增加，在实现过程中引入错误的机会越来越多。在这里，我们描述了使用msprime合并模拟器定义群体遗传模型时所犯的两个错误，这些错误已在已发布的记录中发现。我们讨论这些错误如何影响下游分析，并为软件开发人员和用户提供建议，以减少此类错误的风险。