Center for Quantitative Biology

拟议中的定量生物学中心的首要目标仍然是在普林斯顿建立一个 研究和教学环境，充分满足挑战和机遇，提出的进步， 计算和基因组学，实践一个有用的定量生物科学，有时被称为 系统生物学该中心的程序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 在过去的四年中，中心的支持是两个或两个以上的中心教师之间的联合出版物。为 本科生和研究生，该中心提供了多学科教学和学习的重点; 从一开始就将定量和生物学的思想结合起来，结果是学生几乎可以获得 在生物学和定量思维方面的能力相当。该中心的具体目标是：（1）发展现实的， 生物过程的定量模型;（2）收集全面描述生物过程的大规模数据集 生物过程;（3）设计新的和改进的计算分析和显示方法， 复杂的模型，结构和数据，并在发布时，所有基础数据，算法和 （4）设计和支持新的课程和量化课程， 生物学教育的本科生，研究生，和更大的科学界;（5）减少 这些想法在几个合作和多学科项目中实践，每个项目都针对特定的系统级 问题的主题领域（i）细胞内信号，（ii）模式和细胞信号在多细胞 生物，（iii）宿主-病原体相互作用和（iv）生物信息学和数据可视化。这些项目共享 共同的定量目标，需要一个共同的基础设施（即计算，微阵列，成像和 代谢组学核心设施），所有这些都受益于知识协同作用和多学科 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.