Nan Liang

The paper identifies 3'UTR regulatory elements using synthetic inserts and a deep learning model, revealing their effects on gene expression and nuclear-cytoplasmic partitioning, and highlights disease-relevant variants.

The paper correlates single-cell transcriptome data with gene drive performance by analyzing Cas9 promoter expression in different systems.

This paper describes a homing gene drive targeting the hairy gene in insects, which spreads to high frequency in cage populations but generates functional resistance alleles despite using multiple gRNAs.

This study introduces CARMEN, an algorithm that identifies functional noncoding variants affecting gene expression, showing improved sensitivity and lower false discovery rates compared to existing tools.