Muhammad Naveez

The wealth of data and the diversity of data types in the life sciences make it difficult to identify those variables of a system that relevant for a disease process. MIM are created using experimental data, information the literature and mining databases. Once a MIM is created a range of mathematical and computational tools are used to explore and visualize maps. The outcomes of these analyses are predictions about molecules, pathways and their interactions in the context of a disease. Disease specific MIM, and our analysis, support biologist and clinical researchers with the design new experiments and contribute to a better understanding of diseases.