bioRxiv · 10.1101/2021.02.18.431705
Sensitive, reliable, and robust circRNA detection from RNA-seq with CirComPara2
Abstract
Circular RNAs (circRNAs) are a large class of covalently closed RNA molecules that originate by a process called back-splicing. CircRNAs are emerging as functional RNAs involved in the regulation of biological processes as well as in disease and cancer mechanisms. Current computational methods for circRNA identification from RNA-seq experiments are characterised by low discovery rates and performance dependent on the analysed data set. We developed a new automated computational pipeline, CirComPara2 (https://github.com/egaffo/CirComPara2), that consistently achieves high recall rates without losing precision by combining multiple circRNA detection methods. In our benchmark analysis, CirComPara2 outperformed state-of-the-art circRNA discovery tools and proved to be a reliable and robust method for comprehensive transcriptomics characterisation.
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Gaffo, E., Buratin, A., Dal Molin, A., Bortoluzzi, S.. 2021-02-18. Sensitive, reliable, and robust circRNA detection from RNA-seq with CirComPara2. https://doi.org/10.1101/2021.02.18.431705
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