Herui Liao

AccuSNV is a deep learning tool for high-accuracy bacterial SNV calling that outperforms existing methods in simulated and real datasets.

PlasRAG characterizes and retrieves plasmids using sequence-text alignment, showing that plasmids with broader host ranges and ARGs spread more extensively.

PlasGO predicts GO terms for plasmid-encoded proteins using a hierarchical model, achieving high precision in function annotation.

AnnoSINE_v2 improves SINE annotation in animal genomes with higher accuracy and computational efficiency compared to previous tools.

LRTK is a platform-agnostic toolkit for linked-read analysis of human genomes and metagenomes, offering simulation, alignment, variant calling, and taxonomic classification.

GDmicro improves disease status classification using gut microbiome data by combining semi-supervised learning and domain adaptation, achieving higher accuracy than existing methods.

VirStrain identifies viral strains from short reads using a greedy covering algorithm, outperforming existing tools on simulated and real data.

StrainScan improves strain-level microbiome analysis by using a tree-based k-mer indexing structure, achieving higher accuracy and resolution than existing tools.