Abstract
Recent studies have shown that circular RNAs (circRNAs) are a novel class of abundant, stable, and ubiquitous noncoding RNA molecules in eukaryotic organisms. Comprehensive detection and reconstruction of circRNAs from high-throughput transcriptome data is an initial step to study their biogenesis and function. Several tools have been developed to deal with this issue, but they require many steps and are difficult to use. To solve this problem, we provide a protocol for researchers to detect and reconstruct circRNA by employing CIRI2, CIRI-AS, and CIRI-full. This protocol can not only simplify the usage of above tools but also integrate their results.
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Acknowledgments
This work was supported by NSFC grants (91640117, 91531306) and CAS grants to FZ.
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Zheng, Y., Zhao, F. (2018). Detection and Reconstruction of Circular RNAs from Transcriptomic Data. In: Dieterich, C., Papantonis, A. (eds) Circular RNAs. Methods in Molecular Biology, vol 1724. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7562-4_1
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DOI: https://doi.org/10.1007/978-1-4939-7562-4_1
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