Integrative phenomics, metabolomics and genomics analysis provides new insights for deciphering the genetic basis of metabolism in polished rice

Abstract Background Metabolomics is one of the most widely used omics tools for deciphering the functional networks of the metabolites for crop improvement. However, it is technically demanding and costly. Results We propose a relatively inexpensive approach for metabolomics analysis in which metabo...

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Bibliographic Details

Published in:	Genome Biology
Main Authors:	Hui Feng, Yufei Li, Guoxin Dai, Zhuang Yang, Jingyan Song, Bingjie Lu, Yuan Gao, Yongqi Chen, Jiawei Shi, Luis A. J. Mur, Lejun Yu, Jie Luo, Wanneng Yang
Format:	Article
Language:	English
Published:	BMC 2025-03-01
Subjects:	Hyperspectral imaging Metabolism Machine learning Genome-wide association study Polished rice
Online Access:	https://doi.org/10.1186/s13059-025-03513-w