Abstract:
: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/.
journal_name
Genome Bioljournal_title
Genome biologyauthors
Wu W,Ji P,Zhao Fdoi
10.1186/s13059-020-02018-ysubject
Has Abstractpub_date
2020-04-28 00:00:00pages
101issue
1eissn
1474-7596issn
1474-760Xpii
10.1186/s13059-020-02018-yjournal_volume
21pub_type
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