CircAtlas: an integrated resource of one million highly accurate circular RNAs from 1070 vertebrate transcriptomes

By Wanying Wu, Peifeng Ji, Fangqing Zhao. Genome Biology, 2020

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Existing circular RNA (circRNA) databases have become essential for transcriptomics. However, most are unsuitable for mining in-depth information for candidate circRNA prioritization. To address this, we integrate circular transcript collections to develop the circAtlas database based on 1070 RNA-seq samples collected from 19 normal tissues across six vertebrate species. This database contains 1,007,087 highly reliable circRNAs, of which over 81.3% have been assembled into full-length sequences. We profile their expression pattern, conservation, and functional annotation. We describe a novel multiple conservation score, co-expression, and regulatory networks for circRNA annotation and prioritization. CircAtlas can be accessed at http://circatlas.biols.ac.cn/.

Subfields: Cancer Research, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/5dac0bf3f4228635458bdae0ff1fd49fb4c8de2e