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The rapid expansion of systems biology has led to the development of a vast number of mathematical models and integrative strategies. Use of computational modeling has emerged as a powerful descriptive and predictive tool that allows the study of complex systems to investigate biological phenomena and represent the core of systems biology. The role of mathematical modeling and data integration is to generate testable hypothesis, design experiments and enrich the information content of experimental data.
GEM analysis and simulation - Overview screen shot
GEM analysis and simulation - Validation screenshot
GEM analysis and simulation - Flux analysis screen shot
GEM analysis and simulation - Reporter metabolites screen shot
Omics analysis - Microarray quality check screen shot
Omics analysis - Microarray differential expression analysis screen shot
Omics analysis - Gene set analysis (single run) screen shot
Omics analysis - Gene set analysis (Multiple runs) screen shot