DCC uses output from the STAR read mapper to systematically detect back-splice junctions in next-generation sequencing data. DCC applies a series of filters and integrates data across replicate sets to arrive at a precise list of circRNA candidates.

End-to-End learning framework for circular RNA classification from other long non-coding RNA using multimodal deep learning

circtools: a modular, python-based framework for circRNA-related tools that unifies several functionalities in a single, command line driven software.

🔬 A multi-method comparative bioinformatics pipeline to detect and study circRNAs from RNA-seq data

An R-shiny app that provides backsplice and canonical splicing analysis for both circular RNA (circRNA) and parental transcripts

Tool for indexing and querying back-splice junctions of circular RNAs (circRNAs) in RNA-Seq datasets

🐳 Docker image for CirComPara

circRNA quantification, differential expression analysis and miRNA target prediction of RNA-Seq data