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Updated: Jan 24, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
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Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

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SAIGE-GPU - 使用GPU加速基因组和现象广泛关联研究

Alex Rodriguez1, Youngdae Kim2, Tarak Nath Nandi1

  • 1Data Science and Learning, Argonne National Laboratory, Lemont, IL 60439, United States.

Bioinformatics (Oxford, England)
|January 22, 2026
PubMed
概括

我们开发了SAIGE-GPU,这是一个GPU加速工具,用于大规模的全基因组关联研究 (GWAS). 这一创新大大加快了复杂,混合群体的分析速度,使全现象关联研究更容易获得.

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