Wenyu Zhang

The paper sequences full-length RNA transcripts from multiple mouse species to catalog isoform diversity and refine genome annotation.

The paper identifies sporadic over-activation of co-regulated genes with extreme outlier RNA expression in multiple species and tissues, showing these patterns are not inherited but may reflect gene regulatory network dynamics.

This paper introduces RA3, a reference-guided method for analyzing single-cell chromatin accessibility data, showing improved performance across multiple datasets.

The study shows that retroposition rates in natural mouse populations are much higher than previously thought, with most events being deleterious and affecting gene expression.

The paper tests if genes not identified in GWAS can still influence traits through modifier interactions, finding that many random genes also affect traits.