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Price, Nathan D. Price, Nathan D. Robinson, Gene E. Luthey-Schulten, Zaida A. Zhong, Sheng Chandrasekaran, Sriram 2013-08-22T16:41:40Z 2013-08-22T16:41:40Z 2013-08 2013-08-22T16:41:40Z 2013-08 The genotype and the environment significantly influence the behavior and phenotype of an organism. Yet the mechanism by which a simple genetic change or environmental perturbation alters the state of an organism at the molecular level, and subsequently its phenotype, is still not completely clear. Large-scale omics experiments are now generating a wealth of data on these various processes. As a result, there is a critical need for methods that rapidly transform these high-throughput data into predictive models for medicine and bioengineering. These predictive models need to seamlessly integrate molecular components of the cell into networks and subsequently predict macroscopic phenotypic changes that emerge from these interacting networks. I have developed new tools and algorithms that address this key challenge of multi-scale network integration in order to assemble a holistic view of the cell. My dissertation involves three main themes: 1. The development of new tools (PROM, GEMINI and ASTRIX) for reconstruction and modeling of biochemical networks 2. Understanding transcriptional regulation of metabolism in various model organisms 3. Applying systems approaches to social behavior to dissect the role of transcriptional regulation. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2013-05-31T14:48:40Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Chandrasekaran_Sriram.pdf.docx: 5950080 bytes, checksum: dd2111bb3b47117147ea259e1a1cd2bd (MD5) Chandrasekaran_Sriram.pdf: 3244048 bytes, checksum: a9e741efe02b5d82f943afc5b6078fd9 (MD5) Made available in DSpace on 2013-08-22T16:41:40Z (GMT). No. of bitstreams: 3 Sriram_Chandrasekaran.pdf: 3244048 bytes, checksum: a9e741efe02b5d82f943afc5b6078fd9 (MD5) Chandrasekaran_Sriram.pdf.docx: 5950080 bytes, checksum: dd2111bb3b47117147ea259e1a1cd2bd (MD5) license.txt: 4071 bytes, checksum: 204daf62d659716b0dcdfd6b1bb5cd2e (MD5) http://hdl.handle.net/2142/45486 en Copyright 2013 Sriram Chandrasekaran Systems Biology Metabolism Gene Regulation Social Behavior Neuroscience Machine learning Genomics Data Mining Transcriptional regulation of metabolism and behavior: insights from reconstruction and modeling of complex biochemical networks text School of Molecular & Cell Bio 1415 Biophysics & Computnl Biology 0319 University of Illinois at Urbana-Champaign Dissertation Ph.D. PHD:Biophys&Computnl Bio -UIUC 10KS0319PHD