Decoding the Systems Biology of Aging
The Omics Center generates and integrates high dimensional biological data to reveal the systems level architecture of aging and multimorbidity. Using advanced genomics, epigenomics, transcriptomics, proteomics, and metabolomics technologies, the center maps biological changes across tissues, cell types, and time.
Single cell and spatial omics platforms enable unprecedented resolution, allowing researchers to identify key cellular states, interactions, and transitions that drive disease emergence and progression.
Focus Areas
- Multi omics and single cell profiling
- Spatial and tissue specific molecular mapping
- Systems biology and network analysis
- Biomarker discovery across aging trajectories
Impact
The Omics Center provides the biological foundation required to move from descriptive data to mechanistic understanding.
BCCI Omics Center
The BCCI Omics Center is an integrated platform for advanced genomics and multi-omics research,
supporting projects from sample to data to insight. We provide scalable, high-quality solutions for
researchers across academia and industry, with a focus on precision, efficiency, and translational impact.
Core Capabilities
• Next-generation sequencing (DNA/RNA)
• Single-cell and spatial transcriptomics
• Multi-omics integration including, but not limited to, RNA, ATAC, protein, spatial, and imaging data
Our platform enables high-resolution analysis of complex biological systems, accelerating discoveries in
cancer, immunology, and other age-related diseases.
Services & Platform
• Full Service: end-to-end workflow from sample processing to data analysis
• Assisted Service: experimental design and analysis support
• Self Service: access to instruments with training and guidance
We provide library preparation and operate state-of-the-art sequencing and single-cell technologies,
supported by scalable computational infrastructure. All samples undergo rigorous quality control to ensure
reliable and reproducible results.
Contact Us
Gahee Park, Ph.D. Principal Researcher, gaheep217@yonsei.ac.kr