Definer: A computational method for accurate identification of RNA pseudouridine sites based on deep learning.

ABSTRACT: Pseudouridine is an important modification site, which is widely present in a variety of non-coding RNAs and is involved in a variety of important biological processes. Studies have shown that pseudouridine is important in many biological functions such as gene expression, RNA structural stability, and various diseases. Therefore, accurate identification of pseudouridine sites can effectively explain the functional mechanism of this modification site. Due to the rapid increase of genomics data, traditional biological experimental methods to identify RNA modification sites can no longer meet the practical needs, and it is necessary to accurately identify pseudouridine sites from high-throughput RNA sequence data by computational methods. In this study, we propose a deep learning-based compu

SUBMITTER: Han B 

PROVIDER: S-EPMC12021131 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature