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.
Competing Interest Statement
The authors have declared no competing interest.
ABBREVIATIONS
- DRIP-Seq
- DNA:RNA immunoprecipitation sequencing
- QC
- quality control
- SRA
- Sequence read archive
- RLFS
- R-loop forming sequences
- TSS
- Transcription start site