title: A scalable systems analysis approach for regulated metabolic networks.
abstract: High-throughput data such as genome sequencing and genome expression profiling have enabled the reconstruction of cellular networks. These networks have been represented in computational frameworks that can be used to make testable predictions concerning phenotypes under a variety of experimental conditions and multiple molecular perturbations. This presentation will detail several recent advances in the analysis of these networks as well as provide an outlook of remaining challenges.
authors: Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908 USA.
authors: Paul A
authors: PA
authors: Jensen
authors: Jason A
authors: JA
authors: Papin
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D005786:Gene Expression Regulation / Q000502:physiology*; D008954:Models, Biological; D020543:Proteome / Q000378:metabolism*; D015398:Signal Transduction / Q000502:physiology*
chemical_list: D020543:Proteome