Xinkai Zhou

This study investigates how integrating the DD genome into tetraploid wheat enhances its adaptability by altering gene transcription, chromatin structure, and metabolome.

The paper constructs a single-nucleus transcriptomic atlas of Arabidopsis floral development and identifies key transcription factors regulating epidermal differentiation.

The paper maps rice chromatin accessibility across 23 tissues, identifies regulatory elements, and uses deep learning to model regulatory dynamics, revealing new functions and insights into complex trait regulation.

This study integrates single-cell transcriptomic data from Arabidopsis to identify cell types, developmental trajectories, and gene regulatory networks involved in root-shoot differentiation.

cisDynet is a platform for analyzing chromatin accessibility data, integrating preprocessing, downstream analysis, and visualization to uncover gene regulatory networks and GWAS variant associations.