Research
Research Themes
Plant Systems Biology
Modeling a (crop) plant to predict the phenotype under the exposed condition. Omics data analysis, biological network reconstruction and mathematical modeling have been applied to study the dynamic regulation inside plant cells, aiming to precision science for tailor-made yield and quality of phyto-products.
Metagenomics
Metagenomics is the study of genetic materials (of microbiome) derived directly from environmental samples using high-throughput sequencing technology. Microbiome is important for human, animal and plant health, including maintaining environmental balance.
Systems Biomedicine
At Biocomplexity Lab, we use integrative approaches (math modeling, machine learning, structural modeling, and network analysis) to understand the complexity of diseases.
Cyanobacterial Systems Biology
Arthrospira (Spirulina) is a cyanobacterium producing high valuable substances such as polyunsaturated fatty acids. Systems biology of Spirulina, including genomics, transcriptomics, and proteomics, allows the study and understanding of its biological processes.
Research Lab
Our faculty members are associated with the following research lab
Systems Biology & Bioinformatics Laboratory (SBI)
- Biological Modeling Laboratory (BML) & Center for Agricultural Systems Biology
- Bioinformatics and Microbiome Data Analysis (BioM) Team
Biocomplexity / Systems Biomedicine Lab
Bioactive Compound & Efficiency Platform Research Group (BICEP)
Data Science and Engineering Laboratory (D-Lab)