JEDI: circular RNA prediction based on junction encoders and deep interaction among splice sites.

ABSTRACT:

Motivation

Circular RNA (circRNA) is a novel class of long non-coding RNAs that have been broadly discovered in the eukaryotic transcriptome. The circular structure arises from a non-canonical splicing process, where the donor site backspliced to an upstream acceptor site. These circRNA sequences are conserved across species. More importantly, rising evidence suggests their vital roles in gene regulation and association with diseases. As the fundamental effort toward elucidating their functions and mechanisms, several computational methods have been proposed to predict the circular structure from the primary sequence. Recently, advanced computational methods leverage deep learning to capture the relevant patterns from RNA sequences and model their interactions to facilitate the pre

SUBMITTER: Jiang JY 

PROVIDER: S-EPMC8336595 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature