SIMER: an accurate and intelligent tool for simulating customizable population data across species in complex scenarios

文献类型： 外文期刊

第一作者： Yin, Dong

作者： Yin, Dong;Yin, Lilin;Tang, Zhenshuang;Xu, Jingya;Li, Xinyun;Zhao, Shuhong;Liu, Xiaolei;Yin, Dong;Zhao, Shuhong;Liu, Xiaolei;Yin, Dong;Yin, Lilin;Tang, Zhenshuang;Xu, Jingya;Li, Xinyun;Zhao, Shuhong;Liu, Xiaolei;Zhang, Xuanning;Zhang, Haohao;Yuan, Xiaohui;Zhou, Xiang;Zhou, Xiang;Zhao, Shuhong;Liu, Xiaolei;Liu, Xiaolei

作者机构：

关键词： Simulation; Breeding program; Genetic correlation; Linear mixed model (LMM); Repeated record trait; SIMER

期刊名称：JOURNAL OF BIG DATA （ 影响因子：6.4； 五年影响因子：13.4 ）

ISSN：

年卷期： 2025 年 12 卷 1 期

页码：

收录情况： SCI

摘要： Genetic and breeding studies require diverse simulations, which include structured populations with phenotypes in varying genetic complexity. Here, we introduce SIMER, which simulates data accurately and assists in the design of breeding programs. SIMER implements numerous individual selection methods and reproduction modes to generate genotype data for humans, animals, plants, and microorganisms. SIMER simulates phenotypes following linear mixed model theory, including multiple covariates, fixed and random effects, as well as their interactions. It also enables breeders to design a program, which includes the optimal selection indexes construction, and to choose individuals for genotype and phenotype testing to maximize genetic progress.

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