TrIdent

TrIdent automates the analysis of transductomics data by detecting, classifying, and characterizing read coverage patterns associated with potential transduction events.

Key Features:

• Transduction event detection: Identifies read coverage patterns indicative of ongoing transduction from bacterial DNA carried by viral-like particles.
• Pattern classification: Classifies detected read coverage patterns associated with potential transduction events.
• Pattern characterization: Characterizes the nature of detected read coverage patterns to provide detailed information about transduction events.
• Support for complex communities: Analyzes transduction events in both pure cultures and complex microbial communities.

Scientific Applications:

• Transductomics data analysis: Processes DNA sequencing data from viral-like particle fractions mapped to metagenome-assembled contigs to detect transduction.
• Metagenomic transduction studies: Enables detection and characterization of transduction events in whole-community metagenomic samples.

Methodology:

TrIdent maps sequencing reads from a viral-like particle (VLP)-fraction of a sample to contigs assembled from the metagenome (whole-community) of the same sample, then analyzes the resulting read coverage patterns.