R-Loop Tracker: Web Access-Based Tool for R-Loop Detection and Analysis in Genomic DNA Sequences.

Area of Science:

• Genomics
• Molecular Biology
• Bioinformatics

Background:

• R-loops are nucleic acid structures crucial in genomic regulation and disease.
• Aberrant R-loop formation is implicated in mutagenesis, recombination, and transcription-replication conflicts.
• Existing in silico R-loop prediction tools have limitations.

Purpose of the Study:

• To develop and present a novel, comprehensive in silico tool for R-loop prediction.
• To enable R-loop analysis across entire genomes without length or sequence constraints.
• To integrate R-loop prediction with other genomic analysis tools for enhanced discovery.

Main Methods:

• Development of the R-loop tracker tool, integrated into the DNA Analyser web server.
• Implementation of features for R-loop prediction in genomic DNA of any size.
• Integration with Genome Browser and other nucleic acid analysis tools.
• Inclusion of internal cross-evaluation with experimental data.
• Facilitation of data export for correlation analyses with other genomic features.

Main Results:

• The R-loop tracker tool provides R-loop prediction across genomic DNA segments, chromosomes, and entire genomes.
• The tool integrates seamlessly with existing bioinformatics workflows, including Genome Browser.
• Enhanced visualization and data export capabilities facilitate correlation studies.
• The tool allows for in silico R-loop prediction and validation against experimental data.

Conclusions:

• The R-loop tracker tool offers a powerful, accessible solution for R-loop prediction and analysis.
• This tool enhances the study of R-loop prevalence and distribution in the context of human diseases.
• The integration and visualization features support deeper insights into R-loop functions and implications.