Haojing Shao

The paper develops an integrative single-cell and spatial transcriptomics atlas of Gerbera capitulum development, identifying candidate regulatory factors like GAGL12 involved in vasculature development.

This paper introduces STESH, a spatial transcriptomics clustering method that integrates gene expression, spatial location, and histology, achieving superior clustering accuracy across multiple tissue types.

CellBin processes spatial omics data to create cell-level matrices, outperforming existing methods across multiple platforms and omics types.

BSAlign improves nucleotide sequence alignment speed by integrating three optimization strategies, achieving faster performance than existing SIMD-based methods.

The paper uses BioNano and nanopore data to analyze human chromosome ends, revealing heritable extensions and sequence duplications across primate lineages.

npInv detects and genotypes NAHR inversions using long read sub-alignment, identifying 30 inversions in NA12878 with 94% accuracy, including 15 novel ones.