Welcome to the riboCIRC database

Translation of circular RNAs (circRNAs) now has drawn increasing attention from researchers due to their emerging roles of the functional peptides encoded by circRNAs as new players involved in the regulation of gene expression. However, the scope of circRNA translation is not yet clear. To this end, we analyzed 3,168 publicly available Ribo-seq datasets and 1,970 matched RNA-seq datasets from the same samples involving 314 studies covering 21 species to determine the prevalence of circRNA translation, and developed a translatome data-oriented circRNA database named riboCIRC, which aims to provide: (1) a comprehensive repository of computationally predicted ribosome-associated circRNAs (Ribo-circRNAs), together with multiple lines of evidence further supporting their translation, including cORF, IRES, m6A and mass spectrometric proofs; (2) a manually curated collection of experimentally verified translated circRNAs; (3) an evaluation of cross-species conservation of translatable circRNAs; (4) a systematic de novo annotation of putative circRNA-encoded peptides, including sequence, structure, and function, and (5) a genome browser to visualize the context-specific occupant footprints of circRNAs.

Currently the database contains a total of 0 computationally predicted translatable circRNAs across 0 different species (Human, Mouse, Rat, C.elegans, Drosophila and Zebrafish) and 0 experimentally verified translated circRNAs.


  • 15th September 2020

    riboCIRC is officially released as a final version.

  • 20th July 2020

    Manual literature curated translated circRNAs are added into riboCIRC.

  • 8th June 2020

    circRNA-encoded peptides are annotated by the automatic analysis pipeline.

  • 1th March 2020

    RNA-seq and Ribo-seq data are collected and processed by a unified pipeline.


  • To cite the use of riboCIRC in your work, please reference the following publication:
  • Li, H., Xie, M., Wang, Y. et al. riboCIRC: a comprehensive database of translatable circRNAs. Genome Biol 22, 79 (2021). https://doi.org/10.1186/s13059-021-02300-7

  • To cite our files available for download, please use the following format:
  • "Name of file", riboCIRC, version#, http://ribocirc.com/download/(date of access).