DROPA: DRIP-seq optimized peak annotator.

Area of Science:

• Molecular Biology
• Genomics
• Bioinformatics

Background:

• R-loops are three-stranded nucleic acid structures crucial for gene regulation and genome stability.
• DNA:RNA Immunoprecipitation sequencing (DRIP-seq) maps R-loops genome-wide but faces challenges in precise gene annotation due to lack of strand information.

Purpose of the Study:

• To introduce DRIP-seq Optimized Peak Annotator (DROPA), a novel computational tool for accurate R-loop peak gene annotation.
• To enhance the analysis of R-loop biology by improving the assignment of DRIP-seq peaks to specific genomic locations and associated genes.

Main Methods:

• Development of DROPA, a customizable peak annotation tool utilizing gene expression data.
• Implementation of algorithms to assign R-loop peaks to the DNA template strand within gene bodies.
• Comparative analysis of DROPA's performance against existing R-loop annotation tools.

Main Results:

• DROPA accurately annotates R-loop peaks to the DNA template strand with a false positive rate below 7%.
• DROPA demonstrates superior performance compared to three widely used annotation tools, identifying fewer false positive annotations.
• The tool offers extensive customization options for reference datasets and gene feature definitions.

Conclusions:

• DROPA provides a fully customizable and optimized solution for annotating co-transcriptional R-loop DRIP-seq peaks.
• The tool facilitates precise gene annotation by integrating gene expression information, enabling robust downstream analyses.
• DROPA's output is readily integrable into existing bioinformatics pipelines and generates informative summary plots and statistical tests.