Project ENABLE: Learning through Associations in a Grid based Bioinformatics Digital Library

项目 ENABLE：通过基于网格的生物信息学数字图书馆中的关联进行学习

• 批准号: 0333623
• 负责人: Javed Mostafa
• 金额: --
• 依托单位: Indiana University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-01 至 2007-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0333623&HistoricalAwards=false
• 关键词: Project; ENABLE; Learning; through; Associations

This project is applying advances in digital library (DL) technologies to the emerging domain of bioinformatics, and developing interaction tools that support learning based on identifying and visualizing associations among key dimensions of bioinformatics resources. The project is making these current resources, which are mainly utilized by expert biologists, available to bioinformatics students. The project addresses issues regarding: the use of a wide variety of formats and representations to store bioinformatics information; the application of DL technologies particularly in the realm of data description and exchange; mapping of metadata associated with bioinformatics information to data description standards compatible with DL technologies; and building clients that take advantage of data dissemination protocols such as the Open Archives Initiative in order to support novel browse, search, and analysis functions based on visualizations. The project team is also integrating DL and Grid computing technologies, and utilizes bioinformatics resources of Indiana University such as the Drosophila Genome Flybase, the IUBio Archive that contains euGenes eukaryote genes data, and the Bionet news archive and related software.

该项目正在将数字图书馆（DL）技术的进步应用于生物信息学的新兴领域，并开发基于识别和可视化生物信息学资源关键维度之间关联的支持学习的交互工具。该项目正在将主要由生物学家专家使用的这些当前资源提供给生物信息学学生。该项目解决以下问题：使用各种格式和表示形式来存储生物信息学信息；深度学习技术的应用，特别是在数据描述和交换领域；将与生物信息学信息相关的元数据映射到与深度学习技术兼容的数据描述标准；构建利用数据传播协议（例如开放档案计划）的客户端，以支持基于可视化的新颖浏览、搜索和分析功能。项目团队还整合了深度学习和网格计算技术，并利用印第安纳大学的生物信息学资源，如果蝇基因组飞行基地、包含euGenes真核生物基因数据的IUBio档案、Bionet新闻档案和相关软件。