Computional Brain Biology from Genotype to Phenotype

从基因型到表型的计算脑生物学

• 批准号: 6622195
• 负责人: ARTHUR W TOGA
• 金额: $ 101.99万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-02-04 至 2005-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6622195
• 关键词: biomedical facility; brain imaging /visualization /scanning; brain mapping; computational neuroscience; computer data analysis; data collection methodology /evaluation; functional /structural genomics; genetic mapping; genotype; image processing; informatics; mathematical model; molecular biology information system; phenotype

DESCRIPTION (provided by applicant): This is a proposal to plan and develop a Program of Excellence in computational biology from genotype to phenotype. This planning grant application includes development projects focusing on mapping brain phenotype, mapping biological structure and mapping genomic function. These will be supported by well-developed Cores: Administration, Computational Resources and Education & Training. The program is an integrated effort with multidisciplinary participants from several different departments including mathematics, computer science, neurology, genetics and biochemistry. The Institute of Pure and Applied Mathematics and the Laboratory of Neuro Imaging provide physical resources and additional infrastructure necessary to create this program. The development projects and the cores each provide a symbiotic contribution from both computation and biology. These projects were established because of their mutually beneficial relationship with one another, as well as with the core support activities and the training and educational opportunities of this campus. Plans include collaboration with other investigators and the creation and nurturing of mini-projects that will emerge and grow to full-fledged development projects. Mapping Brain Phenotype will utilize novel mathematical and computational strategies for analyzing whole brain images to understand brain variability and detecting abnormal patterns. Mapping Biological Structure will utilize partial differential equation based image processing techniques in the study of tomographic data, blood flow simulation, gene expression, micro-array segmentation and geometric computations of brain mapping. Mapping Genomic Function will develop statistical methods for measuring the strength of evidence directly from genomics raw data. The Administration Core will provide the unified coordination necessary to propel a complex program such as proposed here to the next stage as a full-fledged Center of Excellence. The Computational Resources Core will develop resources and make them available to the other entities of this program. The Education and Training Core includes plans to train undergraduate and graduate students, postdoctoral fellows, visiting scientists and faculty from other departments. An outreach component is also included. The focus of this proposal remains fixed on the computational biology of brain and yet the developments that will emerge from this Center of Excellence will have a broad and far-reaching applicability to other disciplines of science.

描述（由申请人提供）：这是一份计划和开发 从基因型到表型的计算生物学卓越计划。这 规划补助金申请包括以绘图为重点的发展项目 脑表型、绘制生物结构和绘制基因组功能。 这些将得到完善的核心的支持：行政， 计算资源和教育与培训。该计划是一个综合 与来自不同部门的多学科参与者共同努力 包括数学、计算机科学、神经学、遗传学和生物化学。 纯粹与应用数学研究所和神经科学实验室 映像提供了必要的物理资源和附加基础架构， 创建这个程序。开发项目和核心都提供了一个 来自计算和生物学的共生贡献。这些项目是 因为他们彼此之间的互利关系而建立， 以及核心支助活动和培训及教育活动， 这个校园的机会。计划包括与其他 调查人员以及创建和培育将出现的小型项目 并成长为成熟的发展项目。 大脑映射 表型将利用新的数学和计算策略， 分析全脑图像以了解大脑的变异性， 异常模式 映射生物结构将利用部分 微分方程为基础的图像处理技术的研究 断层数据，血流模拟，基因表达，微阵列 分割和脑映射的几何计算。 映射 基因组功能将开发统计方法来衡量的强度， 直接来自基因组学原始数据的证据。行政核心将提供 推动一项复杂计划所需的统一协调， 在这里到下一个阶段作为一个成熟的卓越中心。的 计算资源核心将开发资源，并将其提供给 这个项目的其他实体。教育和培训核心包括 计划培养本科生和研究生，博士后研究员， 访问其他部门的科学家和教师。外联部分 也包括在内。 这项建议的重点仍然是固定的计算生物学的大脑 然而，这个卓越中心的发展将 对其他科学学科具有广泛而深远的适用性。