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大规模多组学全基因组关联研究（Mo-GWAS）：样品制备和归一化指南

JoVE Journal
Biochemistry

This content is Free Access.

JoVE Journal Biochemistry

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

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大规模多组学全基因组关联研究（Mo-GWAS）：样品制备和归一化指南

DOI:

10.3791/62732-v

•

08:27 min

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July 27, 2021

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Mustafa Bulut, Alisdair R. Fernie², Saleh Alseekh²

¹Max-Planck-Institute of Molecular Plant Physiology, ²Center of Plant Systems Biology and Biotechnology

Chapters

00:04Introduction
00:48Preparation of Biological Plant Material
01:57Sample Extraction
03:35UHPLC-MS Analysis of Semi-Polar Metabolites and Normalization of Large-Scale Metabolomics Dataset
05:37Genome-Wide Association Studies (GWAS)
06:26Results: Metabolomics Data Normalization and QTL Visualization
07:45Conclusion

Summary

Automatic Translation

在该协议中，我们提出了一个优化的工作流程，该工作流程结合了许多样品的高效快速样品制备。此外，我们还提供分步指南，以减少代谢GWAS研究高通量评估的分析变异。

Tags

Multi-omics Genome-wide Association Studies Mo-GWAS Sample Preparation Normalization Technical Variation Biological Variance Metabolites Analytical Platform Genotypic Information Phenotypic Information Natural Population Flash Freezing Extraction Centrifugation Solvent Evaporation GCMS UHPLC-MS

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