IRCAS: a novel end-to-end approach to identify, rectify and classify comprehensive alternative splicing events in a transcriptome without genome reference
Chenchen Shen, Quanbao Zhang, Qilong Cao, Xiaojun Liu, Zhen Zhang, Bailei Li, Zhenning Jin, Rongqing Zhang
IRCAS improves reference-free alternative splicing detection in non-model organisms by integrating identification, rectification, and classification modules with specialized models.
Briefings in Bioinformatics · Jul 1, 2026Peer-reviewedBioinformatics