Research Tools
Deep learning platforms and open-source tools developed by Jo Lab
Web Platforms
DuAL-Net
Dual Approach Local-global Network
Hybrid framework combining local and global genomic features for Alzheimer's disease prediction from whole-genome sequencing data.
TrUE-Net
Transformer Uncertainty Ensemble
Uncertainty-aware genomic deep learning framework using transformer ensembles for Alzheimer's disease classification.
SWAT-web
Sliding Window Association Test
Genome-wide sliding window association analysis of whole-genome sequencing data using deep learning.
Open Source & Resources
AlphaGenome MCP
MCP server enabling natural language interaction with genomic deep learning models for Alzheimer's disease research.
GitHub →Deep-Block
Deep learning framework for block-wise genomic analysis, used in LD-informed variant detection from WGS data.
GitHub →SWAT
Command-line implementation of the Sliding Window Association Test for genomic data analysis.
GitHub →c-SWAT
Circular SWAT variant for deep learning-based diagnostic classification using metabolomics data.
GitHub →VibeIndex
Real-time directory that indexes and ranks AI coding tools, skills, and MCP servers with automated security scanning.
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