International Conference on Stochastic Processes in Systems Biology, Genetics and Evolution

2012年8月21日至25日在莱斯大学举行的系统生物学、遗传学和进化中的随机过程国际会议将重点关注系统生物学领域的新兴趋势，重点关注该领域最有价值的统计方法和概率模型。将特别关注系统生物学中的新挑战，例如探索癌症干细胞在肿瘤发生和进展中的作用，表征引发败血症的炎症系统途径，抗生素耐药性模型以及遗传学和进化中的许多其他挑战。研讨会主题：系统生物学、遗传学和进化：随机动力学的新挑战、新生物学的随机过程、细胞分化和细胞命运的随机性、癌症的随机模型、随机基因表达和细胞内信号通路、自组织、表观遗传学与进化、种群生物学和遗传学中的分支过程、生化系统的随机理论。向初级研究人员、学生和代表性不足的群体提供旅行和生活援助。近年来见证了生物数据的爆炸式增长，这些数据可以在从遗传密码到生物分子、细胞、组织和生物体的各个层面上准确地了解生物的功能。由于这些新的数据，有可能了解生物的不同层次的组织（尺度）是如何相互作用的。这门新科学被称为系统生物学。从一开始，系统生物学就比传统的生物学学科更倾向于数学。特别是，它试图理解随机性（或随机性）在生物功能中所起的作用。例如，为什么单个生物细胞对环境刺激的反应方式截然不同，而生物体作为一个整体却能够产生连贯的反应？这个问题和其他相关问题的答案是本次会议的主题。

The International Conference on Stochastic Processes in Systems Biology, Genetics and Evolution, to be held at Rice University on August 21-25, 2012, will focus on emerging trends within the field of systems biology with a focus on the statistical methodologies and probability models that are most valued within the field. Special attention will be given to emerging challenges in systems biology, such as exploring the role of cancer stem cells in tumor development and progression, characterizing the systems pathways in inflammation which trigger sepsis, models of antibiotic resistance, and many other challenges in genetics and evolution. Symposia Topics: Systems Biology, Genetics and Evolution: New Challenges for Stochastic Dynamics Stochastic Processes for New Biology, Stochasticity of Cell Differentiation and Cell Fates, Stochastic Models of Cancer, Stochastic Gene Expression and Intracellular Signaling Pathways, Self-Organization, Epigenetics & Evolution, Branching Processs in Population Biology and Genetics, Stochastic Theory for Biochemical Systems. Junior researchers, students and under-represented groups are offered travel and subsistence assistance.Recent years witnessed an explosion of biological data, which allow accurate insight into functioning of living beings at the levels ranging from genetic code to biomolecules, cells, tissues and organisms. Due to these new data, it became possible to understand how different levels of organization (scales) of living beings interact. This new science is called systems biology. From the very outset, systems biology has been more mathematically inclined than traditional disciplines of biology. In particular, it is attempting to understand the role randomness (or stochasticity) plays in functioning of living beings. For example, how is it possible that individual biological cells respond in very different ways to environmental stimuli, whereas the organism as a whole is capable of mounting a coherent response? Answers to this and other related questions are the subject of the conference.