Research Tools
AI 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.
ReviewFast
AI Screening for Systematic Reviews
Ranks search results against a review's eligibility criteria, then supports screening, stopping, and data extraction. Free scoring uses Jev, the model evaluated in the paper.
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 →RareVariants
Regulatory impact analysis of rare variants in Alzheimer's disease-associated genes using AlphaGenome.
GitHub →ReviewFast
Open-source web application for AI-assisted title and abstract screening, stopping, and data extraction in systematic reviews.
GitHub →Jev Screening Analysis
Per-record model responses, analysis code, and result files of the label-free AI ranking study (medRxiv 2026).
Zenodo →