| Quantitative Approaches to Gene Regulatory Systems | |
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United States - CA - La Jolla |
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| Hosted by: | Center for Theoretical Biological Physics |
| Venue: | University of California-San Diego |
| Dates: | Jul 09, 2006 through Jul 21, 2006 |
| Event Registration: | 2005-12-01 through 2006-03-01 |
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Description |
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| This workshop will provide an introduction to quantitative approaches to modeling and analyzing gene regulatory systems. The two-week workshop will consist of two parts: During the first week, tutorial lectures will be given to provide the basic molecular and biophysical underpinning of gene regulatory systems, including models of protein-DNA interaction, and mechanisms of transcriptional control. Lectures will then be given to introduce the participants to current computational approaches to studying gene regulation and its evolution, including methods of regulatory element identification, transcriptional module reconstruction and network motif analysis. The second week will be devoted to quantitative analysis of specific gene regulatory systems, including transcriptional and post-transcriptional control systems, fluctuation in gene expression, and dynamics of small genetic circuits. The participants will be assigned mini-projects to apply the lecture materials to model and analyze specific biological systems, thereby gaining hands-on experiences in both the nature of the biological problems and the methodologies of approaching them. The workshop is designed primarily for people with graduate-level training in the physical sciences (e.g., physics, physical chemistry, engineering) with a serious interest of moving into areas of quantitative/systems biology. Familiarity with the fundamentals of statistical mechanics and thermodynamics as well as computing is highly recommended. Housing and meals, and a generous travel stipend will be provided to all invited participants. | |
| Additional Information | |
| Event URL: | http://ctbp.ucsd.edu/workshops/index.php?id=18 |
| ISCB Member Discount: | None |
| Contact Person: | Christopher M. Smith, PhD. ([javascript protected email address]) |
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