COMPUTATIONAL BIOLOGY & OMICS
Our group performs a number of cutting-edge analyses to interpret the complex, dynamic and large-scale datasets obtained from time-series transcriptomics, proteomics and metabolomics. Depending on the type of data, the team develops a number of custom-made computational, mathematical and data analytic tools to investigate and predict an optimal outcome of a desired experiment. For example, for the optimal production of an industrially relevant compound, the models developed can test numerous targets in silico and identify/rank the best targets before actual experiments are performed. This reduces laborious experiments, thereby, saving valuable time and cost for projects.
Our state-of-the-art facilities and cutting-edge expertise provide a shared platform for a broad range of analytical chemistry support and specialized analysis to the research groups at SIFBI, as well as industry partners. Our capabilities include targeted and untargeted analysis in rapid chemical dereplication, differential analysis, metabolomics/lipidomics, large scale purification/enrichment of complex samples, structure elucidation of bioactive molecules, detection of adulteration, compound quantification and standardization. The ultimate goal is to support the development of interdisciplinary collaboration across SIFBI and to encourage innovations in functional food and biotech sector that will enhance human health and quality of life.