BIMSA >
生物信息讨论班
Self-supervised learning on millions of pre-mRNA sequences improves sequence-based RNA splicing prediction
Self-supervised learning on millions of pre-mRNA sequences improves sequence-based RNA splicing prediction
组织者
演讲者
时间
2023年11月23日 22:00 至 22:30
地点
Online
摘要
RNA splicing, a crucial post-transcriptional process in eukaryotic gene expression, can be predicted using a novel self-supervised model, SpliceBERT. Pre-trained on vertebrate pre-mRNA sequences, SpliceBERT enhances RNA splicing prediction, including variant effects and branch point prediction, across species, emphasizing the potential of pre-trained models for understanding RNA splicing.