Center for Quantitative Biology

拟议的定量生物学中心的总体目标仍然是在普林斯顿建立一个研究和教学环境，充分满足计算和基因组学进步所带来的挑战和机遇，实践一种有用的定量生物科学，有时被称为“系统生物学”。该中心的计划和基础设施增加了来自不同学科和部门（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）的研究人员之间的通信带宽。四分之一（54/217）的论文发表与中心支持在过去四年中是两个或两个以上的中心教师之间的联合出版物。对于本科生和研究生，该中心提供了一个多学科的教学和学习的重点;定量和生物学的想法是从一开始就整合，结果是学生获得生物和定量思维几乎相等的设施。该中心的具体目标是：（1）开发生物过程的现实和定量模型;（2）收集全面描述生物过程的大规模数据集;（3）设计新的和改进的计算分析方法，展示复杂的模型、结构和数据，并在出版后公开所有基本数据、算法和分析系统;（4）为本科生、研究生和更大的科学界设计和支持定量生物学教育的新课程和课程;和（5）将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（i）细胞内信号传导，（ii）多细胞生物体中的模式和细胞信号传导，（iii）宿主-病原体相互作用和（iv）生物信息学和数据可视化。这些项目具有共同的定量目标，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），所有这些项目都受益于该中心提供的智力协同和多学科合作。

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 infrastructure 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 analytical 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 system-level 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.