PSI-MOUSE: Predicting Mouse Pseudouridine Sites From Sequence and Genome-Derived Features.

ABSTRACT: Pseudouridine (Ψ) is the first discovered and the most prevalent posttranscriptional modification, which has been widely studied during the past decades. Pseudouridine was observed in almost all kinds of RNAs and shown to have important biological functions. Currently, the time-consuming and high-cost procedures of experimental approaches limit its uses in real-life Ψ site detection. Alternatively, by taking advantage of the explosive growth of Ψ sequencing data, the computational methods may provide a more cost-effective avenue. To date, the existing mouse Ψ site predictors were all developed based on sequence-derived features, and their performance can be further improved by adding the domain knowledge derived feature. Therefore, it is highly desirable to propose a genomic feature-based

SUBMITTER: Song B 

PROVIDER: S-EPMC7285933 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature