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

该项目将数字图书馆（DL）技术的进步应用于新兴的生物信息学领域，并开发交互工具，支持基于识别和可视化生物信息学资源的关键维度之间的关联的学习。该项目正在使这些主要由生物学家专家使用的现有资源可供生物信息学学生使用。该项目涉及以下方面的问题：使用各种格式和表示法存储生物信息学信息;数据库技术的应用，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数据库技术兼容的数据描述标准;以及构建利用数据传播协议（如开放档案倡议）的客户端，以支持基于可视化的新颖浏览、搜索和分析功能。该项目团队还整合了DL和网格计算技术，并利用了印第安纳州大学的生物信息学资源，如果蝇基因组Flybase，包含euGenes真核生物基因数据的IUBio Archive，以及Bionet新闻存档和相关软件。

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.