Welcome to BRIDGE
BRIDGE is an end-to-end platform that enables genome-wide dynamic profiling of RNA-protein interactions, connecting sequence-structure motifs with the functional impact of genetic variants across diverse cellular contexts.
Dynamic Predictions
Accurately predict RNA-protein interactions across multiple cell lines without retraining, capturing context-specific binding patterns.
Variant Impact Analysis
Assess how genetic variants alter RNA-protein interactions and prioritize functional noncoding mutations.
Motif Discovery
Identify enriched sequence-structure motifs underlying RBP binding with attention-guided interpretation.
What is BRIDGE?
BRIDGE is a unified computational framework that seamlessly integrates RNA sequence, structure, and genetic variation data to model dynamic RNA-protein interactions across diverse cellular environments.
By bridging the gap between sequence-structure motifs and variant effects, BRIDGE enables researchers to understand how genetic changes influence post-transcriptional regulation and contribute to disease mechanisms.
The platform combines advanced deep learning architectures with intuitive visualization tools, making complex genomic analyses accessible to biologists without requiring programming expertise.
Why Use BRIDGE?
Reduce Experimental Complexity
Minimize wet-lab experiments with accurate in silico predictions of RBP binding sites.
Disease Mechanism Insights
Uncover how noncoding variants contribute to diseases like ALS through RBP dysregulation.
Cell-Type Specific Analysis
Understand context-dependent regulatory mechanisms across different cell lines and conditions.
Accessible to All Researchers
User-friendly web interface requires no coding skills for advanced genomic analyses.