Ribose-Map: a bioinformatics toolkit to map ribonucleotides embedded in genomic DNA

Area of Science:

• Genomics
• Bioinformatics
• Molecular Biology

Background:

• High-throughput sequencing now allows for the detection of ribonucleoside monophosphates (rNMPs) within genomic DNA.
• Existing computational tools for rNMP mapping are technique-specific, limiting broad application and comparison.
• Analyzing embedded rNMPs provides insights into DNA repair, replication, and genome stability.

Purpose of the Study:

• To develop a standardized, technique-agnostic software pipeline for mapping embedded ribonucleoside monophosphates (rNMPs) in genomic DNA.
• To facilitate the analysis of rNMP sequencing data, enabling identification of their genomic locations and sequence contexts.
• To enhance the reproducibility and comparability of rNMP sequencing experiments across different methodologies.

Main Methods:

• Development of Ribose-Map, a bioinformatics pipeline with multiple analytical modules.
• Transformation of raw sequencing data into summarized datasets and visualizations.
• Implementation of algorithms to map rNMPs independently of the specific sequencing technology used.

Main Results:

• Ribose-Map successfully processes and analyzes rNMP sequencing data from various techniques.
• The software generates summary datasets and visualizations for identifying rNMP sites and their genomic distribution.
• Demonstrated capability to study the nucleotide sequence context surrounding embedded rNMPs.

Conclusions:

• Ribose-Map provides a standardized approach for analyzing ribonucleoside monophosphate (rNMP) sequencing data.
• The tool's technique-agnostic nature promotes reproducibility and allows for direct comparison of different rNMP sequencing methods.
• Facilitates deeper biological insights into the roles and distribution of rNMPs in the genome.