"bacLIFE: Predicting Lifestyle-Associated Genes in Bacteria with User-Friendly Genome Analysis"

A new computational workflow called bacLIFE has been developed to analyze bacterial genomes and predict lifestyle-associated genes. The tool uses machine learning to predict bacterial lifestyles and identify candidate genes and biosynthetic gene clusters associated with those lifestyles. The workflow was tested on Burkholderia/Paraburkholderia and Pseudomonas species, accurately predicting their lifestyles and identifying lifestyle-associated genes. The tool provides a user-friendly interface for comprehensive and interactive comparative genomics, making it an effective framework for genome-wide diagnostics and prediction of lifestyle-associated genes in diverse bacterial genera.