CENTER FOR COMPUTATIONAL BIOLOGY (CCB)(RMI)

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 描述(申请人提供)：这是建立一个新的计算生物学中心(CCB)的建议。我们的目标是将计算和数学方法应用于基因、细胞、系统和整个大脑的研究。CCB的主要目标是开发、实施和测试适用于空间尺度和生物系统的计算生物学策略。这将有助于阐明在其他情况下无法检测和测量的特征和关系。这一多学科计划促进的相互作用将导致解决基本问题的新策略，这些策略可应用于遗传学、生物化学、分子生物学和脑成像。我们的计算生物学观点考虑了构建地图集的问题--生物信息的不同领域上的地图集，从基因到表型跨越许多尺度和形态。在本提案中，我们引入了计算地图集的概念，作为一种类似数据库的基础设施，它依赖于建模和优化方面的数学进步。我们将为这样一个计算图集开发基础设施，从而形成一个平台，用于解决以前一直难以解决的大规模建模问题。在这项提案的核心3中有4个驱动生物学项目：(1)纵向绘制语言发展图，(2)绘制阿尔茨海默氏症和高危人群的大脑变化图，(3)MS和EAE临床进展的潜在机制，以及(4)精神分裂症患者大脑结构的遗传影响。每一项都包括计算生物学的基本要素：建模、成像、生物信息学、生物计算和数据管理。选择每个核心是因为它与核心1和核心2的共生关系，在那里将开发计算科学和计算工具。整个项目是一体化的。这些核心不仅为研究项目的发展提供支助，而且也为方案的发展提供支助。基础设施和资源核心将提供硬件、软件、可视化和数据库贡献，以促进共享和合作开发。教育和培训核心将通过整合培训机会和鼓励学生进入这一重要领域来滋养这一计划。传播核心将确保我们努力的产品将有效和广泛地传播到外部世界。行政和管理核心将提供监督、文件、领导和沟通。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. DESCRIPTION (PROVIDED BY APPLICANT): This is a proposal to establish a new Center for Computational Biology (CCB). Our goals are to apply computational and mathematical approaches to the study of genes, cells, systems and whole brain. The major objectives of the CCB are to develop, implement and test computational biology strategies that are applicable across spatial scales and biological systems. This will help elucidate characteristics and relationships that would otherwise be impossible to detect and measure. Interactions fostered by this multidisciplinary program will result in novel strategies to fundamental problems that can be applied to genetics, biochemistry, molecular biology and brain mapping. Our view of computational biology considers the problem of constructing atlases - sets of maps on different spheres of biological information that span many scales and modalities from genotype to phenotype. In this proposal we introduce the concept of a computational atlas as a database-like infrastructure that rests on mathematical advances in modeling and optimization. We will develop the infrastructure for such a computational atlas resulting in a platform for addressing large-scale modeling problems that before now have been intractable. There are 4 Driving Biological Projects in Core 3 of this proposal: (1) Mapping Language Development Longitudinally, (2) Mapping Brain Changes in Alzheimer's & Those at Risk, (3) Mechanisms Underlying the Clinical Progression of MS and EAE, and (4) Genetic Influences on Brain Structure in Schizophrenia. Each includes essential elements of computational biology: modeling, imaging, bioinformatics, biocomputing and data management. Each was chosen specifically because of its symbiotic relationship to Cores 1 and 2 where computational science and computational tools will be developed. The entire project is integrated. The Cores not only provide support for the development of research projects but also for programmatic development. The Infrastructure and Resources Core will provide hardware, software, visualization and database contributions to facilitate sharing and cooperative development. The Education and Training Core will nourish this program by integrating training opportunities and encouraging students to enter this important area. The Dissemination Core will ensure that the products of our efforts will be communicated to the outside world efficiently and broadly. The Administrative and Management Core will provide oversight, documentation, leadership and communication.