RMBase: a resource for decoding the landscape of RNA modifications from high-throughput sequencing data

• DOI: 10.1093/nar/gkv1036
• Publication Date: 2015-10-14T01:42:08Z
• Authors: Wen-Ju Sun; Jun-Hao Li; Shun Liu; Jie Wu; Hui Zhou; Liang-Hu Qu; Jian-Hua Yang
• Keywords: Pseudouridine; Genome browser

Although more than 100 different types of RNA modifications have been characterized across all living organisms, surprisingly little is known about the modified positions and their functions. Recently, various high-throughput modification sequencing methods developed to identify diverse post-transcriptional molecules. In this study, we a novel resource, RMBase (RNA Modification Base, http://mirlab.sysu.edu.cn/rmbase/), decode genome-wide landscape identified from data generated by 18 independent studies. The current release includes ∼9500 pseudouridine (Ψ) Pseudo-seq CeU-seq data, ∼1000 5-methylcytosines (m5C) predicted Aza-IP ∼124 200 N6-Methyladenosine (m6A) discovered m6A-seq ∼1210 2′-O-methylations (2′-O-Me) RiboMeth-seq public resources. Moreover, provides comprehensive listing other experimentally supported integrating It web interfaces show thousands relationships between sites microRNA target sites. can also be used illustrate disease-related SNPs residing in sites/regions. genome browser web-based modTool query, annotate visualize modifications. This database will help expand our understanding potential functions