Yongxin Ji

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

MOSTPLAS improves plasmid host range prediction by addressing missing labels in training data through self-correction and pseudo label learning.

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

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