Abstract: The noise has been shown as one of the most important factors in gene expression which cannot be neglected. With the intrinsic noise perturbation, metastability arises naturally. In this talk, we develop a general framework for identifying the switching paths, the mean switching times and finally reconstructing the quasi-potential of the whole system. The analytical results are in good agreements with Monte Carlo simulations. Our framework takes DNA into mathematical models, quantitatively reveals key features of genetic switch and can be applied to other non-equilibrium systems.
报告人简介: 李铁军 博士、教授，国家“优秀青年基金”获得者。分别于1995、1998年在清华大学应用数学专业获学士及硕士学位，2001年获北京大学计算数学专业博士学位，现为北京大学数学科学学院教授，博士生导师。主要研究方向为随机模型及算法，在包括化学反应随机动力学、复杂网络、复杂流体等领域的应用中有非常杰出的研究工作。
Date&Time: November 6, 2012 (Tuesday), 10:30–11:30 a.m.
Location: 606 Conference Room
