Haoliang Xue

REINDEER2 provides a scalable, dynamic abundance index for RNA datasets, achieving faster construction and accurate abundance recovery.

KaMRaT reduces the dimensionality of k-mer count matrices from high-throughput sequencing data to identify condition-specific sequences.

The paper introduces a k-mer-based method to quantify RNA sequences from large RNA-seq datasets, demonstrating its accuracy for variant RNA detection in cancer cell lines.

This study integrates single-cell multi-omics data from human foetal blood to show that trisomy restructures enhancer-gene maps, leading to dysregulated erythroid differentiation and haematological abnormalities in Down's Syndrome.

The paper uses a k-mer based method to analyze RNA-seq data at the nucleotide level in lung adenocarcinoma, identifying novel tumor-specific RNA features and their clinical relevance.

The paper introduces Kmerator Suite, a set of tools for extracting k-mer signatures and inferring metadata from RNA-seq datasets, showing high accuracy in gene expression quantification and metadata discovery.

2-kupl detects variants between DNA-seq samples without mapping, achieving higher precision than existing methods and identifying novel variants in hard-to-map regions.