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Updated: Jan 12, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
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Published on: July 27, 2021

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对非常大的数据集和复杂的单步基因组模型的 (协同) 差异组件的估计

Matias Bermann1, Andres Legarra2,3, Ignacio Aguilar4

  • 1Department of Animal and Dairy Science, University of Georgia, Athens, GA, 30602, USA. mbermann@uga.edu.

Genetics, selection, evolution : GSE
|October 31, 2025
PubMed
概括

大型基因组数据集的估计方差组件的计算局限性被蒙特卡洛单步基因组REML (MC-ss-GREML) 克服. 这种新方法使用显著减少计算时间和内存准确估计差异组件,使复杂的遗传分析可行.

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