244 citations · 684 across the 16 of their papers we have counts for
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q-bio.GN2026
TPMM: Three-component Posterior Mixture Model Enables Robust Inverton Detection in Low-Depth Metagenomes and Suggests Potential Viral Invertons
Yi Lu, Jiaojiao Guan, Yang Shen +2
Bacterial phase variation enables reversible, locus-specific phenotypic switching, often driven by DNA inversion (invertons). To identify these events, researchers commonly rely on…
q-bio.GN2026
SeekRBP: Leveraging Sequence-Structure Integration with Reinforcement Learning for Receptor-Binding Protein Identification
Xiling Luo, Le Ou-Yang, Yang Shen +6
Motivation: Receptor-binding proteins (RBPs) initiate viral infection and determine host specificity, serving as key targets for phage engineering and therapy. However, the identif…
q-bio.GN2026★ 1 cited
PhageMind: Generalized Strain-level Phage Host Range Prediction via Meta-learning
Yang Shen, Keming Shi, Chen Yu +3
Bacteriophages (phages) are key regulators of bacterial populations and hold great promise for applications such as phage therapy, biocontrol, and industrial fermentation. The succ…