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Updated: Apr 18, 2026

Identification of Circular RNAs using RNA Sequencing
Published on: November 14, 2019
CIRI: an efficient and unbiased algorithm for de novo circular RNA identification
Yuan Gao1,2, Jinfeng Wang3, Fangqing Zhao4
1Computational Genomics Lab, Beijing Institutes of Life Science, Chinese Academy of Sciences, Beijing, 100101, China. gaoyuan06@mails.ucas.ac.cn.
Abstract:
Recent studies reveal that circular RNAs (circRNAs) are a novel class of abundant, stable and ubiquitous noncoding RNA molecules in animals. Comprehensive detection of circRNAs from high-throughput transcriptome data is an initial and crucial step to study their biogenesis and function. Here, we present a novel chiastic clipping signal-based algorithm, CIRI, to unbiasedly and accurately detect circRNAs from transcriptome data by employing multiple filtration strategies. By applying CIRI to ENCODE RNA-seq data, we for the first time identify and experimentally validate the prevalence of intronic/intergenic circRNAs as well as fragments specific to them in the human transcriptome.
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