Xiongbin Kang

The paper shows NAD+ and EVA1-C regulate alternative splicing in tauopathies, affecting protein interactions and disease progression, suggesting therapeutic potential for AD.

HyLight improves strain-aware metagenome assembly by combining TGS and NGS data, achieving higher accuracy and lower costs than existing methods.

HERO improves error correction in long reads by combining de Bruijn and overlap graphs, reducing indel and mismatch errors by 65% and 20% respectively.

This paper develops pMTnet-omni, an AI system predicting TCR-pMHC binding across species and MHC classes, achieving high accuracy and showing clinical utility in predicting immune-related adverse events.

This paper introduces DiseaseCapsule, a capsule network approach for predicting complex genetic diseases from genotypes, achieving high accuracy on ALS and Parkinson's disease.

VeChat corrects errors in long-read sequencing data by using variation graphs instead of sequence-based consensus, reducing errors in PacBio and ONT reads compared to existing methods.

StrainXpress improves strain-aware metagenome assembly by reconstructing strain-specific genomes from short reads, outperforming existing methods in coverage and accuracy.

Strainline assembles full-length viral haplotypes from noisy long reads without a reference genome, outperforming existing methods in simulated and real datasets.

This paper introduces phasebook, a method for haplotype-aware diploid genome assembly from long reads, showing improved haplotype coverage compared to existing methods.