ENCORE (The Encyclopedia of RNA Epitranscriptome) for decoding the mechanism and function of diverse RNA modifications in various RNAs, such as mRNAs, tRNAs, lncRNAs. ENCORE is a most comprehensive platform for efficient studying RNA modifications from large amounts of high-throughput epitranscriptome sequencing data. It provides multiple interfaces and web-based tools to integrate 73 types of RNA modifications among 62 species, uncover the relationships between RNA modifications and a series of interacting factors, and reveal the distribution patterns, biochemical mechanisms, evolutionary conservation of RNA modifications and their biological roles in human diseases. ENCORE provides seven powerful web-based tools including modAnnotation, modMetagene, deepAnno, modFunction, modGeneTool, ConservedFunc and modHistoneTool for custom analysis of RNA modification data.
- Decode the distribution patterns of 73 types of RNA modifications across 62 species in various RNAs, such as mRNAs, tRNAs, lncRNAs.
- Explore the interactions between pseudouridylation modifications and known and orphan snoRNAs.
- Discover the clusters of various RNA modifications.
- Decipher the interactions of RNA modifications with RNA-binding proteins (RBP), miRNA targets, SNPs, and SNVs.
- Predict novel readers associated with various RNA modifications, such as m6A, m5C, m1A, m7G, 2'-O-Methylation, pseudouridylation, RNA editing.
- Explore the regulatory roles of histone modifications (e.g. H3K36me3、H3K79me2、H3K9ac、H3K27ac) on RNA modifications.
- Investigate the biological functions of RNA modifications in diverse cancers.
- Uncover the motifs of various RNA modifications.
- Provide more than 10 tools for exploring the functions and mechanisms of various RNA modifications.
**ENCORE platform is freely available at** https://rna.sysu.edu.cn/encore/.
RMBase is the the pilot version of ENCORE, RMBase paper is available at https://academic.oup.com/nar/article/46/D1/D327/4429298 and pubmed ID
RMBase continually be maintained and updated whenever novel high-throughput epitranscriptome sequencing data sets are released in public databases.