Circular RNAs (circRNAs) are a vital class of RNA molecules that play key roles in gene expression regulation. However, researchers often need a unified platform that integrates all types of circRNAs and provides in-depth functional annotation. CATdb fulfills this need by cataloging a wide spectrum of circRNAs, extending beyond canonical exon-derived molecules to include those with back-splicing junctions outside of exon boundaries and those transcribed from intergenic regions.
To build this database, we utilized CAT, a novel detection method powered by a biological large model, to systematically analyze large-scale RNA sequencing data. Our analysis draws from the ENCODE project, the Sequence Read Archive (SRA), and our in-house datasets. This powerful approach allows for the highly sensitive and accurate identification of a vast collection of circRNAs from human, rhesus macaque, cynomolgus monkey, mouse, and rat across various sources and cell lines.
CATdb provides detailed functional annotations for each circRNA, including:
CATdb aims to provide the research community with a user-friendly, one-stop platform for easy Browse, searching, and visualization of circRNA data. We hope CATdb will serve as an invaluable resource for your research on circRNA biology, providing a solid foundation and a powerful starting point for your scientific discoveries.