Artikel ; Online: RLSuite: An Integrative R-Loop Bioinformatics Framework.
Journal of bioinformatics and systems biology : Open access
2023 Band 6, Heft 4, Seite(n) 364–378
Abstract: We recently described the development of a database of 810 R-loop mapping datasets and used this data to conduct a meta-analysis of R-loops. R-loops are three-stranded nucleic acid structures containing RNA:DNA hybrids and we were able to verify that 30% ...
Abstract | We recently described the development of a database of 810 R-loop mapping datasets and used this data to conduct a meta-analysis of R-loops. R-loops are three-stranded nucleic acid structures containing RNA:DNA hybrids and we were able to verify that 30% of expressed genes have an associated R-loop in a location conserved manner.. Moreover, intergenic R-loops map to enhancers, super enhancers and with TAD domain boundaries. This work demonstrated that R-loop mapping via high-throughput sequencing can reveal novel insight into R-loop biology, however 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 in a rapidly expanding aspect of epigenetic control that is still poorly understood. |
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Sprache | Englisch |
Erscheinungsdatum | 2023-12-21 |
Erscheinungsland | United States |
Dokumenttyp | Journal Article |
ISSN | 2688-5107 |
ISSN (online) | 2688-5107 |
DOI | 10.26502/jbsb.5107071 |
Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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