RLSuite: An integrative R-loop bioinformatics framework

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H. E. Miller, D. Montemayor, S. Levy, K. Sharma, B. Frost, A. J. R. Bishop

Published: 16 Jul 2022, Last Modified: 27 Jan 2026CrossrefEveryoneRevisionsCC BY-SA 4.0
Abstract: h3>ABSTRACT</h3> <p>R-loops are three-stranded nucleic acid structures containing RNA:DNA hybrids. While R-loop mapping via high-throughput sequencing can reveal novel insight into R-loop biology, the analysis and quality control of these data is a non-trivial task for which few bioinformatic tools exist. Herein we describe <i>RLSuite</i>, an integrative R-loop bioinformatics framework for pre-processing, quality control, and downstream analysis of R-loop mapping data. RLSuite enables users to compare their data to hundreds of public datasets and generate a user-friendly analysis report for sharing with non-bioinformatician colleagues. Taken together, RLSuite is a novel analysis framework that should greatly benefit the emerging R-loop bioinformatics community.</p>