Tao Jiang

SVPG improves structural variant detection using pangenome references and accelerates pangenome graph construction from long-read data.

The paper constructs a DNA methylation atlas for 106 Chinese individuals using nanopore long-read sequencing, identifying CpG sites and environmental influences on methylation.

This paper introduces SomaSV, a hybrid sequencing framework that improves somatic structural variant detection accuracy while reducing costs by combining long- and short-read data.

The paper introduces cuteSV2, a long-read-based method for accurate structural variant regenotyping, outperforming existing methods in benchmarking.

GFHunter detects gene fusions in long-read cancer transcriptomes with high accuracy, reduced false positives, and improved speed and memory efficiency.

This paper presents the first telomere-to-telomere genome assembly of the soybean cultivar Zhonghuang 13, resolving gaps and identifying novel genes and structural variations.

cuteSV improves structural variation detection in long-read sequencing by combining signature-based methods with clustering and refinement, achieving better performance on real datasets.

rMETL detects mobile element insertions using long read realignment, improving sensitivity and reducing false positives in genomic studies.