A Statistical Computing Framework for Genomic Data

基因组数据统计计算框架

• 批准号: 6953207
• 负责人: ROBERT C GENTLEMAN
• 金额: $ 79.68万
• 依托单位: FRED HUTCHINSON CANCER RESEARCH CENTER
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-30 至 2008-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6953207
• 关键词: Internet; bioengineering /biomedical engineering; biotechnology; computer program /software; computer system design /evaluation; information retrieval; molecular biology information system

DESCRIPTION (provided by applicant): We will design and deploy software infrastructure that bridges diverse processes and resources in biotechnology and information science. In the process we will design and implement significant improvements in the R programming language to support the development and use of the innovative software tools we develop. In the domain of biotechnology we will design software enabling the integration of experimental data and experimental metadata (e.g. MIAME). We will develop tools to integrate biological metadata with experimental data. These tools will be designed to allow other developers to have access to all methodology and will be designed to simplify interactions with other projects through a well-defined class system. We will develop software infrastructure for visualization, combining data from multiple sources and accessing information, programmatically from the WWW. In the domain of information technology, tools for creating, structuring and harvesting annotation resources and databases of published literature will be developed. Interactive tools for linking experimental results to annotation/literature resources in real time will be provided. We will explore the development and deployment of Web services. The software architecture will address the highly dynamic nature of the annotation and scientific literature, and will cope with multiple data sources of varying degrees of quality. Indexing of techniques with respect to error rates, resolutions and capabilities will be supported. Guidance and infrastructure that will enable the use of the software tools in a graphical manner will be developed and deployed. Additionally we will use the tools described above to develop new computational methods for genomic data, with particular attention to visualization, computational inference, multiple comparisons, and specialized analytic methods for microarray data.

描述（由申请人提供）：我们将设计和部署软件基础架构，该基础架构桥接生物技术和信息科学中的各种流程和资源。在此过程中，我们将设计和实施R编程语言的重大改进，以支持我们开发的创新软件工具的开发和使用。在生物技术领域，我们将设计能够集成实验数据和实验元数据（例如迈阿密）的软件。我们将开发将生物元数据与实验数据集成的工具。这些工具将旨在允许其他开发人员访问所有方法，并将旨在通过定义明确的类系统简化与其他项目的交互。我们将开发用于可视化的软件基础架构，将来自多个来源的数据组合在一起，并从www进行编程访问信息。在信息技术领域，将开发用于创建，结构和收获注释资源以及已发表文献数据库的工具。将提供用于将实验结果链接到注释/文献资源的交互式工具。我们将探索Web服务的开发和部署。该软件体系结构将解决注释和科学文献的高度动态性质，并应对多种质量不同的数据源。将支持有关错误率，决议和功能的技术索引。将开发和部署将以图形方式使用软件工具的指导和基础架构。 此外，我们将使用上述工具来开发用于基因组数据的新计算方法，特别注意可视化，计算推断，多个比较和用于微阵列数据的专门分析方法。