PSI-MOUSE
PSI-MOUSE predicts pseudouridine (Ψ) sites within the mouse transcriptome by integrating sequence-derived features and 38 additional mouse genomic features to improve site identification and annotate posttranscriptional regulatory elements.
Key Features:
- Predictive Framework: Predicts pseudouridine sites in the mouse transcriptome using sequence-derived features combined with additional genomic features.
- Genomic Feature Integration: Incorporates 38 additional genomic features derived from the mouse genome to enhance prediction accuracy compared with sequence-only models.
- Posttranscriptional Regulation Annotation: Annotates predicted pseudouridine sites with RNA-binding protein (RBP) binding regions, miRNA-RNA interactions, and splicing sites.
- Experimental Validation Database: Maintains a database of 3282 experimentally validated mouse pseudouridine sites with customized query functions.
Scientific Applications:
- RNA modification mapping: Enables identification and mapping of pseudouridine sites across the mouse transcriptome.
- Functional characterization: Supports investigation of the biological functions and regulatory roles of pseudouridine in mouse RNA.
- Cross-species prediction advancement: Demonstrates integration of genomic features that can inform prediction approaches beyond human models to other species.
Methodology:
Predicts pseudouridine sites by combining sequence-derived features with 38 mouse genomic features, annotates predicted sites with RBP binding regions, miRNA-RNA interactions, and splicing sites, and organizes 3282 experimentally validated mouse pseudouridine sites in a queryable database.
Topics
Details
- Added:
- 1/18/2021
- Last Updated:
- 1/29/2021
Operations
Publications
Song B, Chen K, Tang Y, Ma J, Meng J, Wei Z. PSI-MOUSE: Predicting Mouse Pseudouridine Sites From Sequence and Genome-Derived Features. Evolutionary Bioinformatics. 2020;16. doi:10.1177/1176934320925752. PMID:32565674. PMCID:PMC7285933.