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Prediction of plant complex traits via integration of multi-omics data

Biology

Prediction of plant complex traits via integration of multi-omics data

P. Wang, M. D. Lehti-shiu, et al.

This study reveals how integrating genomic, transcriptomic, and methylomic data can enhance prediction accuracy for Arabidopsis traits. Conducted by Peipei Wang, Melissa D. Lehti-Shiu, Serena Lotreck, Kenia Segura Abá, Patrick J. Krysan, and Shin-Han Shiu, it uncovers distinct benchmark genes for flowering time and validates new gene interactions through experimental methods.

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