{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Miller HE"],"funding":["NIH/NIA","CPRIT","NIA NIH HHS","NIH/NCI","SU2C-CRUK Pediatric Cancer New Discoveries Challenge Team","DOD","NCI NIH HHS","NIH","NIGMS NIH HHS"],"pagination":["D1129-D1137"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC9825527"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["51(D1)"],"pubmed_abstract":["R-loops are three-stranded nucleic acid structures formed from the hybridization of RNA and DNA. In 2012, Ginno et al. introduced the first R-loop mapping method. Since that time, dozens of R-loop mapping studies have been conducted, yielding hundreds of publicly available datasets. Current R-loop databases provide only limited access to these data. Moreover, no web tools for analyzing user-supplied R-loop datasets have yet been described. In our recent work, we reprocessed 810 R-loop mapping samples, building the largest R-loop data resource to date. We also defined R-loop consensus regions and developed a framework for R-loop data analysis. Now, we introduce RLBase, a user-friendly database that provides the capability to (i) explore hundreds of public R-loop mapping datasets, (ii) explo"],"journal":["Nucleic acids research"],"pubmed_title":["Exploration and analysis of R-loop mapping data with RLBase."],"pmcid":["PMC9825527"],"funding_grant_id":["R01 CA152063","R01CA152063","GM139549","CDMRP PR181598","P30 CA054174","RP150445","R35 GM139549","F31AG072902","SU2C #RT6187","R01 CA241554","F31 AG072902","1R01CA241554"],"pubmed_authors":["Hartono S","Li J","Miller HE","Montemayor D","Bishop AJR","Frost B","Pawar R","Levy SA","Sharma K","Chedin F"],"additional_accession":[]},"is_claimable":false,"name":"Exploration and analysis of R-loop mapping data with RLBase.","description":"R-loops are three-stranded nucleic acid structures formed from the hybridization of RNA and DNA. In 2012, Ginno et al. introduced the first R-loop mapping method. Since that time, dozens of R-loop mapping studies have been conducted, yielding hundreds of publicly available datasets. Current R-loop databases provide only limited access to these data. Moreover, no web tools for analyzing user-supplied R-loop datasets have yet been described. In our recent work, we reprocessed 810 R-loop mapping samples, building the largest R-loop data resource to date. We also defined R-loop consensus regions and developed a framework for R-loop data analysis. Now, we introduce RLBase, a user-friendly database that provides the capability to (i) explore hundreds of public R-loop mapping datasets, (ii) explo","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Jan","modification":"2026-04-28T03:15:19.994Z","creation":"2025-04-05T17:02:29.135Z"},"accession":"S-EPMC9825527","cross_references":{"pubmed":["36039757"],"doi":["10.1093/nar/gkac732"]}}