Detecting and quantifying circular RNAs in terabyte-scale RNA-seq datasets with CIRI3.
basic_science · Level V
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- Record sourced from PubMed, PMID 41034498.
- Also identified by DOI 10.1038/s41587-025-02835-1.
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Abstract
To address recent challenges in circular RNA (circRNA) analysis, we present CIRI3, a tool for circRNA detection and quantification in terabyte-scale RNA-sequencing datasets. Using dynamic multithreaded task partitioning and a blocking search strategy for junction reads, CIRI3 is an order of magnitude faster than existing tools, while providing increased accuracy. We identified differentially spliced circRNAs across 2,535 cancer-related samples, and constructed a pretraining model and a biomarker network provided as the CIRIonco database.