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bioRxivBioinformaticsPreprint

RLSuite: An integrative R-loop bioinformatics framework

Henry E. MilleriD, Daniel MontemayoriD, Simon A. LevyiD, Kumar SharmaiD, Bess E FrostiD, Alexander J.R. BishopiD

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Abstract

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 RLSuite, 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.

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