Guojun Li

GLASS filters erroneous splice-aware alignments from long-read RNA-seq data, improving transcriptome reconstruction accuracy across multiple species.

This paper introduces a novel clustering algorithm for scRNA-seq data, scQA, which outperforms existing tools in accuracy and efficiency across multiple datasets.

PGAR-Zernike provides a fast and accurate open-source toolkit for computing Zernike descriptors of protein structures, enabling efficient structural database construction and retrieval.

RNANetMotif identifies sequence-structure RNA network motifs in RNA-protein binding sites using graph theory and validates them with molecular dynamics simulations.

This paper introduces a hybrid unsupervised method for accurate short read clustering and barcoded sample demultiplexing in nanopore sequencing, outperforming traditional tools in clustering and matching learning-based methods in demultiplexing.

This paper introduces a clustering algorithm for scRNA-seq data that improves accuracy by combining local and global similarity measures, outperforming existing methods on benchmark datasets.

BicGO is a biclustering algorithm that accurately identifies complex biclusters in large datasets using global optimization, outperforming existing tools on both simulated and real data.

ProSampler efficiently identifies transcription factor binding motifs in large ChIP-seq datasets, revealing complex motif patterns and cooperative binding mechanisms.