RiboDiPA

RiboDiPA performs differential pattern analysis for Ribo-seq data to identify genes with significantly different ribosome footprint patterns between two conditions.

Key Features:

• BAM file processing: Processes alignment data in BAM format for downstream analysis.
• P-site mapping: Maps P-sites to determine ribosome positions on transcripts.
• Data binning: Bins data to facilitate pattern comparison across conditions.
• Differential pattern analysis: Identifies genes with significantly different ribosome footprint patterns between two conditions.
• Footprint visualization: Generates visualizations of ribosome footprint patterns.

Scientific Applications:

• Differential ribosome footprint analysis: Detects condition-specific changes in ribosome occupancy patterns across transcripts.

Methodology:

RiboDiPA implements five major components: BAM file processing, P-site mapping, data binning, differential pattern analysis, and footprint visualization.