Bioinfomatics for Mouse Phenotype Analysis

描述(由申请者提供)：田纳西州小鼠基因组联盟(TMGC)是一个分布式的地区性合作组织，致力于促进小鼠作为生物医学研究的模型系统。TMGC利用了七个参与研究机构的大规模小鼠突变、表型分析设施和研究专业知识。这个联盟的研究人员可以对各种各样的表型进行详细的分析，包括行为、药物和酒精滥用、神经科学、发育、心血管系统、生殖、新陈代谢、免疫学、基因的分子表型 表达、衰老、癌症和许多其他生物医学感兴趣的领域。在TMGC的不同合作地点产生大量数据，以及共享信息、分析方案和跟踪小鼠和生物材料在整个联盟中的移动的需要，产生了对共享TMGC信息学基础设施的需求。还需要新的计算生物学研究和资源，以最大限度地利用这些数据。 相应地需要教育和跨学科培训，以利用共享的信息学工具和资源来利用预期数量的基因和表型数据。 这个项目的目的是开始创建所需的计算、信息和教育资源，以支持S成长为美国国立卫生研究院S国家生物医学计算卓越计划之一，这是一个建议的哺乳动物表型比较和计算分析计划(PCCAMP)。建议的教育和规划组成部分包括：(A)规划讲习班，将实验和计算科学家聚集在一起，评估未来的方向和计算 为满足比较哺乳动物表型分析的需要，(B)举办了教育讲习班，以及(C)开发了基于软件的教程，以发展TMGC所需的核心专门知识，以应对许多生物信息学和计算生物学方面的挑战。信息学工具和系统将在三个小型开发项目中试行：(1)第一个项目将提供 协作信息管理数据库。这些数据库将积累和整合来自研究人员网络的观察结果，并自动化大型表型数据集的实验和计算处理。(2)第二个试点项目将评估TMGC对共享分析工具的需求，并为计算分析软件工具的合作开发和应用建立一个环境。(3)第三个试点项目将探索与TMGC表型数据集和TMGC表型数据集相关的互操作和数据挖掘问题 它们与其他可用的表型和基因型数据一起使用。

DESCRIPTION (provided by applicant): The Tennessee Mouse Genome Consortium (TMGC) is a distributed regional collaboration focused on promoting the mouse as a model system for biomedical research. The TMGC leverages the large-scale mouse mutagenesis, phenotype analysis facilities and research expertise at seven participating research institutions. Researchers across this consortium can perform detailed analysis of a wide variety of phenotypes that can include behavior, drug and alcohol abuse, neuroscience, development, cardiovascular systems, reproduction, metabolism, immunology, molecular phenotype of gene expression, aging, cancer and many other areas of biomedical interest. The generation of large amounts of data at various collaborating sites in the TMGC, as well as the need to share information, analysis protocols, and track the movement of mice and biological materials across the consortium, creates a need for a shared TMGC informatics infrastructure. There is also a need for new computational biology research and resources to make best use of this data. There is a corresponding need for education and inter-disciplinary training to utilize shared informatics tools and resources to exploit the expected volume of genotype and phenotype data. The purpose of this project is to begin a process that creates the computational, informational and educational resources needed to support the TMGC?s growth towards one of the NIH?s National Program of Excellence in Biomedical Computing, a proposed Program for the Comparative and Computational Analysis of Mammalian Phenotype (PCCAMP). Education and planning components proposed include: (a) Planning workshops to bring together experimental and computational scientists to evaluate the future directions and computational requirements for comparative mammalian phenotype analysis, (b) educational workshops, and (c) the development of software-based tutorials to develop the core expertise needed within the TMGC to meet the many bioinformatics and computational biology challenges. Informatics tools and systems will be piloted in three small Development Projects: (1) The first Project will provide collaborative information management databases. These databases will accumulate and integrate observations from a network of researchers and automate the experimental and computational processing of large phenotype data sets. (2) The second pilot project will evaluate shared analysis tools needs of the TMGC and establish an environment for collaborative development and application of computational analysis software tools. (3) The third pilot project will explore interoperation and data mining issues related to TMGC phenotype data sets and their use with other available phenotype and genotype data.