HT 2010
2nd year Graduate Talks
The format is 15 minutes for the talk, followed by 5 minute for discussion
Schedule of Talks: Lecture Room (1 South Parks Road)
2:00- 2:15 Philipp Schmidt
Title: Multi-type TASEP in discrete time
Abstract:
Questions and discussion
2:20 - 2:35 Anna Lewis
Title: The function of communities in protein interaction networks
Abstract:
Questions and discussion:
2:40 - 2:55 Enuo He
Title: Stochastic modelling of the cell cycle
Abstract: In the cell division cycle, cells replicate their DNA, segregate the duplicated sister chromatids and divide into two daughter cells. The unidirectional repetitive of cell cycle is one of the essential features to maintain proliferation of life. The irreversibility of cell cycle transitions is controlled by a complex network containing cyclin-dependent protein kinases (Cdks) and their regulators. Budding yeast due to its special genetic characters has been intensively studied both experimentally and in sillico. In particular, a large number of deterministic models have been developed for its cell cycle regulations based on ordinary differential equations (ODEs). Recently, a trend of using stochastic techniques has been spotted in this field. The main advantage of stochastic methods is that it is able to capture the noise and fluctuations that are ubiquitous in the cells.
The purpose of this work is twofold: first, we study and formulate the existing deterministic Novak-Tyson model in terms of elementary chemical reactions, which can be properly simulated using stochastic algorithms (e.g. SSA, chemical Langevin equations etc.). In the second part, we will focus on dynamic features and the effects of noise in our model by comparing different stochastic simulation outcomes. We plan to enrich our stochastic model with explicit representations of more completed cell cycle networks and try to explain more observations in specific experimental conditions by employing different stochastic techniques.
Questions and discussion:
3:00 - 3:15 Alexander Dilthey
Title: Combining classical typing data and imputations in the HLA to improve understanding of three autoimmune diseases
Abstract: It is very well known that the xMHC region on the short arm of chromosome 6 plays a major role in determining autoimmune disease risk. However, neither the statistical nor the functional connection between xMHC and disease risk is well understood in many cases. Combining classical SNP genotyping data with imputed HLA alleles, using an empirically validated method, may lead to new insights, in, for example, the role of antigen presentation, haplotype-based effects and allele interactions. This approach is applied to three diseases (Multiple sclerosis, Ankylosing spondylitis, Psoriasis) within the upcoming WTCCC2 study. First results are presented in this talk
Questions and discussion
3:20 - 3:35 Susanne Pfeifer
Title: to be confirmed
Abstract:
Questions and discussion
3:40 - 3:55 Kayvan Sadeghi
Title: to be confirmed
Abstract:
Questions and discussion
4:00 - 4:30 Tea
4:30 - 4:45 Zhou Fang
Title: to be confirmed
Abstract:
Questions and discussion
4:50 - 5:05 Yu Xue
Title: to be confirmed
Abstract:
Questions and discussion
5:10 - 5:25 Yang Wu
Title: title to be confirmed
Abstract:
Questions and discussion
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