Center for Quantitative Biology

拟议的数量生物学中心的首要目标仍然是在普林斯顿大学实现 充分迎接挑战和机遇的研究和教学环境， 计算和基因组学，以实践有用的定量生物科学，有时被称为 “系统生物学”。中心的项目和基础设施增加了通信带宽 来自不同学科和部门的研究人员(包括分子生物学、生态学和 进化生物学、计算机科学、化学和物理学)。四分之一(54/217)的论文发表于 过去四年的中心支持是由两名或更多中心教职员工联合出版的。对两个人都是 该中心面向本科生和研究生，提供多学科教学和学习的重点； 从一开始就将定量和生物的思想融合在一起，结果学生获得了近 在生物思维和定量思维方面能力相当。该中心的具体目标是：(1)发展现实和 生物过程的定量模型；(2)收集大规模数据集，全面描述 生物过程；(3)设计新的和改进的方法来计算分析和显示 复杂的模型、结构和数据，并在发布时制作所有基础数据、算法和 可供公众使用的分析系统；(4)设计和支持新的课程和量化课程 面向本科生、研究生和更大的科学界的生物教育；以及(5)减少 这些想法将在几个协作和多学科项目中实践，每个项目都针对特定的系统级别 关于(I)细胞内信号、(Ii)多细胞模式和细胞信号的主题领域的问题 (3)宿主-病原体的相互作用和(4)生物信息学和数据可视化。这些项目共享 共同的定量目标需要共同的基础设施(即计算、微阵列、成像和 代谢组学核心设施)，所有这些设施都受益于智力协同和多学科 该中心提供的合作。

The overarching goal of the proposed Center for Quantitative Biology remains to instantiate at Princeton a research and teaching environment that fully meets the challenge and opportunity, presented by advances in computation and genomics, to practice a usefully quantitative biological science, sometimes referred to as "systems biology". The programs and infrastrucure of the Center increase the bandwidth of communication among researchers from different disciplines and departments (including Molecular Biology, Ecology and Evolutionary Biology, Computer Science, Chemistry and Physics). One in four (54/217) papers published with Center support in the last four years is a joint publication between two or more Center faculty. For both undergraduate and graduate students, the Center provides a focus for multidisciplinary teaching and learning; quantitative and biological ideas are integrated from the beginning, with the result that students acquire nearly equal facility in biological and quantitative thinking. The Center's specific aims are: (1) to develop realistic and quantitative models of biological processes; (2) to collect large-scale data sets that comprehensively describe biological processes; (3) to devise new and improved methods for computational analysis and display of complex models, structures and data and to make, upon publication, all underlying data, algorithms and anal3/tical systems publicly accessible; (4) to devise and support new curricula and courses of quantitative biology education for undergraduates, graduate students, and the larger scientific community; and (5) to reduce these ideas to practice in several collaborative and multi-disciplinary projects, each aimed at specific systemlevel questions in the subject areas of (i) intracellular signaling, (ii) pattern and cell signaling in multicellular organisms, (iii) host-pathogen interactions and (iv) bioinformatics and data visualization. These projects share common quantitative goals, require a common infrastructure (i.e. computation, microarray, imaging and metabolomics core facilities) and all of them benefit from the intellectual synergy and multi-disciplinary cooperation that the Center provides.