Pengyu Zhang

The paper shows that somatic variants' transcriptomic impact depends on cellular context, not just sequence, using single-cell transcriptomics and new tools.

MEIsensor detects and classifies mobile element insertions from long-read sequencing data, outperforming existing tools in accuracy and efficiency, especially for complex insertions.

The paper presents a telomere-to-telomere diploid reference genome for the Chinese Quartet, improving centromere structure annotation and enabling population-specific structural variant analysis.

The paper develops LTR_Stream to cluster LTR-RTs in Papaver species, revealing complex interactions between retrotransposons and the host genome, including effects of allopolyploidization.

Swave identifies structural variants from pangenome graphs, revealing complex SV patterns and pathogenic variants in human populations.

scHiCyclePred predicts cell cycle phases from single-cell Hi-C data using multi-scale interaction features, outperforming existing methods.