CENTER FOR COMPUTATIONAL BIOLOGY (CCB)(RMI)

这个子项目是许多利用 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 描述（由申请人提供）：这是一个建议，建立一个新的计算生物学中心（CCB）。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，实施和测试适用于整个空间尺度和生物系统的计算生物学策略。这将有助于阐明否则不可能检测和测量的特性和关系。通过这个多学科计划培养的互动将导致新的策略，可以应用于遗传学，生物化学，分子生物学和脑映射的基本问题。我们对计算生物学的看法考虑了构建图谱的问题--在生物信息的不同领域上的图谱集，这些信息跨越了从基因型到表型的许多尺度和模式。在这个提议中，我们引入了计算地图集的概念，作为一个类似数据库的基础设施，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谱开发基础设施，从而为解决大规模建模问题提供一个平台，这些问题在此之前一直是棘手的。本提案的核心3中有4个驱动生物学项目：（1）纵向绘制语言发展，（2）绘制阿尔茨海默氏症和高危人群的大脑变化，（3）MS和EAE临床进展的机制，以及（4）精神分裂症对大脑结构的遗传影响。每个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。每一个都是特别选择的，因为它与核心1和2的共生关系，其中计算科学和计算工具将被开发。整个项目是一体化的。核心不仅为研究项目的发展提供支持，而且还为方案的发展提供支持。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的努力成果将有效和广泛地传播给外部世界。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.