PubMed · 41034498
Detecting and quantifying circular RNAs in terabyte-scale RNA-seq datasets with CIRI3.
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.
Explore related subjects
Keep this discovery
Explore connections, maps & timelines
Xin Zheng, Jinyang Zhang, Lipu Song, Xiang Jennie Li, Fangqing Zhao, Yuan Gao. 2025-10-01. Detecting and quantifying circular RNAs in terabyte-scale RNA-seq datasets with CIRI3.. https://doi.org/10.1038/s41587-025-02835-1
Cite the original work for its findings. Save a collection to share your selection of sources.