In Computational System Biology Lab we mainly focus on developing algorithms, web tools, and software for the enhancement of computational techniques in biological research. We work on different aspects of biological network modelling based on resources available in the public domain.
Different environmental factors causing disease conditions imprint their effect on biological systems. Integrating different levels of data like genomic, proteomic, and metabolomic leads to deep insight into disease study which helps understand disease with target-specific therapeutics.
Such studies are not only computationally challenging but also require sophisticated computational techniques. We develop algorithms based on computational techniques like machine learning and statistical modelling.
Our Focus Areas
- System Biology
- Biological Network Analysis
- Machine Learning and Artificial Intelligence
- Structural Bioinformatics
- Molecular Modelling and Docking
- Multi-Omics Data Integration
- Gene Regulatory Network Construction
- Protein-Protein Interaction Prediction
- Biomarker Discovery
- Web Tool Development