Tutorial Genome-Scale metabolomic modeling (GSMM)

Adil Mardinoglu

Mardinoglu lab at SciLifeLab develop Genome-scale metabolic models (GEMs) for human cells/tissues and employ these comprehensive models in the analysis of the omics data obtained from subjects with complex diseases including obesity, Non-alcoholic fatty liver disease (NAFLD), Type 2 diabetes (T2D) and certain types of cancer (e.g. Hepatocellular Carcinoma) This is an exciting area of biomedical research, driven by the increase of common metabolic disorders as well as recent discoveries of metabolic reprogramming in cancer.


Partho Sen

Systems biology / Bioinformatics /Modelling. A deep understanding of biological systems, algorithm/method development applied to in/under determined systems. To use exhaustive interdisciplinary science to unveil the hidden facts within complex biochemical systems. Skill sets: Genome-scale metabolic modelling, Kinetic modelling, Omics, Machine learning, Optimization, Bio-databases design, Big data, Biostatistics.