Analyzing Multi-Omics and Developing computational methods to understand genome, epigenome, and cellular heterogeneity.
🧬 Single-cell & Spatial Multi-omics
- Single-cell RNA-seq
- Single-cell Epigenomics
- Strand-seq
- Spatial Transcriptomics
- Multi-omics Integration
🤖 Artificial Intelligence for Biology
- Machine Learning
- Deep Learning
- Foundation Models for Biology
- Large Language Models (LLMs) for Biology
🧪 Computational Genomics
- Somatic Mosaicism
- Structural Variant
- Genome Instability
- Aging
- Cancer Evolution
- Gene Regulatory Networks
| Project | Description |
|---|---|
| scNOVA-related tools | Single-cell nucleosome occupancy analysis with Strand-seq |
| CellTyper | LLM-based cell-type annotation agent |
| Multi-omics pipelines | End-to-end analysis workflows |
Languages
AI
Bioinformatics
Infrastructure
- AI-guided Bioinformatics
- Multi-omics Integration
- Single-cell Biology
- Computational Genomics
- Cancer Evolution
- Aging
We believe reproducible science starts with open software.
This organization hosts software, datasets, and computational tools developed in the Systems Biology & Bioinformatics Laboratory.
Contributions, issues, and discussions are always welcome.