Collis Bousliman

This paper constructs a phage-bacteria interaction atlas for Klebsiella pneumoniae and develops a genome-guided machine learning model to predict phage-host interactions, outperforming traditional methods.

This study identifies 42 bacterial genes involved in Klebsiella phage infection using RB-TnSeq, revealing cross-family resistance and genus-specific gene dependencies.

The paper develops a genome-based framework to predict bacteriophage infectivity against diverse Pseudomonas aeruginosa strains using machine learning and experimental data.