Xiao Luo

HapFold improves haplotype reconstruction for diploid genomes by combining graph-based and sequence-based scaffolding methods, achieving high accuracy and contiguity.

DMG-PPI is a dual-channel graph neural network that models similarity and complementarity in PPI networks, improving prediction accuracy and providing interpretable insights into binding mechanisms.

This paper presents the first telomere-to-telomere genome assembly of Dendrobium officinale, identifies tetra-allelic genes, and explores SWEET gene family evolution and mycorrhizal functions.

PanTax improves strain-level metagenomic classification by using pangenome graphs, outperforming existing methods in precision and recall.

PanTax improves strain-level taxonomic classification of metagenomic data by using pangenome graphs, outperforming existing methods in precision and recall.

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

DeChat corrects errors in Nanopore R10 sequencing reads with high accuracy, preserving repeats and haplotypes, and improves genome assembly.

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

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