Detecting and quantifying circular RNAs in terabyte-scale RNA-seq datasets with CIRI3.

CIRI3 detects and quantifies circRNAs in terabyte-scale RNA-seq datasets with ten times greater speed and higher accuracy than existing tools.

• Why it matters: Accurate and efficient circRNA analysis is crucial for understanding their roles in diseases like cancer, but current methods struggle with large datasets and precision.
• What they did: The team developed CIRI3, employing dynamic multithreaded task partitioning and a blocking search strategy, analyzing 2,535 cancer samples to identify differentially spliced circRNAs and build a biomarker network.
• The result: CIRI3 enables rapid, precise circRNA detection at large scales, facilitating biomarker discovery and advancing research into circRNA functions in cancer and other diseases.