bacLIFE is a streamlined computational workflow that annotates bacterial genomes and performs large-scale comparative genomics to predict bacterial lifestyles and to pinpoint candidate genes, denominated lifestyle-associated genes (LAGs), and biosynthetic gene clusters associated with each lifestyle detected. This whole process is divided into different modules:
- Clustering module Predicts, clusters and annotates the genes of every input genome
- Lifestyle prediction Employs a machine learning model to forecast bacterial lifestyle or other specified metadata
- Analitical module (Shiny app) Results from the previous modules are embedded in a user-friendly interface for comprehensive and interactive comparative genomics.
You can find the complete wiki here [https://github.com/Carrion-lab/bacLIFE/wiki/bacLIFE-wiki]
If you use bacLIFE, please cite: https://doi.org/10.1038/s41467-024-46302-y