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<p>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.</p>

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

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年2月25日

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

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.