BACPHLIP

BACPHLIP predicts bacteriophage lifestyle (temperate versus virulent) from phage genome sequences to inform phage ecology and phage–host interactions.

Key Features:

• Lifestyle Classification: Classifies phages as temperate (capable of lysogeny and genomic integration) or virulent (lytic) based on genomic signals.
• Protein Domain Detection: Identifies conserved protein domains associated with temperate lifestyles and uses domain presence as predictive features.
• Machine Learning Approach: Implements a Random Forest classifier trained on 634 phage genomes to learn domain–lifestyle associations.
• High Accuracy: Achieves 98% accuracy on an independent test set of 423 phages, compared to 79% accuracy reported for previous tools.

Scientific Applications:

• Ecosystem Role Analysis: Enables assessment of phage contributions to microbial community dynamics and ecosystem functions by identifying lifestyle.
• Host Evolution Studies: Supports investigation of phage-driven selective pressures on bacterial hosts and co-evolutionary processes.

Methodology:

Analyzes phage genomes for conserved protein domains and inputs domain presence patterns into a Random Forest classifier trained on 634 genomes, with performance evaluated on an independent test set of 423 phages (98% accuracy).