Yijing Zhang

CENO is a long-context generative model for genomic sequence understanding and design, showing improved variant prediction and regulatory sequence generation across species.

The paper uses single-nucleus RNA sequencing to study cell heterogeneity and developmental trajectories in maize leaf primordia, identifying potential regulators of Kranz anatomy development.

This study identifies how transposable elements shape subgenome-convergent and -divergent transcription in common wheat by analyzing TFBS and TE evolution.

The paper identifies TaPCGR1-3B as a receptor modulating nutrient-growth through Ca2+ signaling and phosphatidylcholine perception in response to nitrogen deficiency.

The paper identifies a transcription factor that integrates calcium and lipid signaling to enhance wheat yield under nitrogen deficiency and dense planting.

HyperChIP identifies hypervariable genomic regions across ChIP/ATAC-seq samples to reveal tumor heterogeneity and associated transcription factors.

MAnorm2 is a tool for comparing ChIP-seq samples across groups, improving differential binding detection by accounting for within-group variability and outperforming existing methods.

This study presents the first high-quality genome assembly of Antirrhinum majus, revealing evolutionary relationships and genetic architectures of complex traits.