Associate Professor of Biology, Bioinformatics and Biomedical Engineering
PhD, Weizmann Institute of Science, Israel, 2002
Areas of interest: systems biology, evolution of biochemical networks, genomics, metabolic engineering, microbial ecology
We develop theoretical approaches and computational models for the study of complex biological networks. We are especially interested in the dynamics and evolution of metabolism, whose complex web of small-molecule transformations underlies fundamental aspects of biological organization, from energy transduction to cell-cell communication. In addition to helping understand how biological systems function and evolve, we seek to apply our methods to the design and optimization of engineered networks for bioenergy and biomedicine applications.
- BE 777 Computational Genomics
- BF 821 Bioinformatics Seminar
- BF 571 Dynamics and Evolution of Biological Networks
- Klitgord N, Segre D (2010). Environments that induce synthetic microbial ecosystems. PLoS Computational Biology, 6(11): e1001002.
- Riehl WJ, Krapivsky P, Redner S, SegreD (2010). Signatures of Arithmetic Simplicity in Metabolic Network Architecture. PLoS Computational Biology, 6(4): e1000725.
- Mazumdar V, Snitkin E, Amar S, Segre D (2009). Metabolic network model of a human oral pathogen. Journal of Bacteriology, Jan; 191(1), 74-90.
- Snitkin ES, Dudley AM, Janse DM, Wong K, Church GM, Segre D (2008). Model-driven analysis of experimentally determined growth phenotypes for 465 yeast gene deletion mutants under 16 different conditions. Genome Biology, 9:R140.
- Wright MA, Kharchenko P, Church GM, Segrè D. (2007). Chromosomal periodicity of evolutionarily conserved gene pairs, Proc. Natl. Acad. Sci. USA, 104 (25), 10559-10564.
- Raymond J, Segrè D. (2006). The effect of oxygen on biochemical networks and the evolution of complex life, Science, 311, 1764-1767.
- Segrè D, De Luna A, Church GM, Kishony R. (2005). Modular epistasis in yeast metabolism, Nature Genetics, 37(1), 77-83.
- Segrè D, Vitkup D, Church GM. (2002). Analysis of optimality in natural and perturbed metabolic networks, Proc. Natl. Acad. Sci. USA, 99(23), 15112-15117.
- Segrè D, Ben-Eli D, Deamer DW, Lancet D. (2001). The Lipid World, Origins of Life and Evolution of the Biosphere, 31, 119-145.
- Feb 25, 2014 Read more.
- Feb 25, 2014
Current research suggests a certain type of tiny fungus may play a very large role in the global cycling of carbon. Professor Finzi, who took part in the research, asserts that the work is not only relevant to climate models and predictions of future atmospheric greenhouse gas levels, but also challenges the core foundation in modern biogeochemistry that climate exerts major control over soil carbon pools.Read more.
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