Efficient Web-based Serving of Consolidated Multi-Source Biological Sequence Data Extracts

基于网络的高效整合多源生物序列数据提取服务

• 批准号: 0090732
• 负责人: Volker Brendel
• 金额: $ 39.98万
• 依托单位: Iowa State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-07-01 至 2003-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0090732&HistoricalAwards=false
• 关键词: Efficient; Web; based; Serving; Consolidated

Many interesting questions in biology involve initial data preparation steps that can turn out to be very cumbersome and time-consuming. Specialized and general public molecular biology data repositories continue to grow in size and number. Many emerging research questions require access to multiple data sets for use in specific research situation, usually using only a subset of the data from each repository. Access and querying of these multiple sources presents a very real problem to researchers. A complicating factor is the erroneous nature of some annotation data associated with sequence. The creation of a BioExtract Server for consolidating and serving curated data extract from public databases will be developed initially for subsets of GenBank and ZmDB to be of use to maize and other plant researchers. The Server will provide automated curation and identification of misalignment in the sequence repository. Accessed over the web, users will be able to select a specific set of techniques, make flexible queries, specify resources to use and name and keep their selections for reuse.In addition to providing educational opportunities for both graduate and undergraduate students, there will also be summer internships available. Tutorial packages for various levels of expertise will be prepared for users to enhance the accessibility of the Server to as wide a range of users as possible.

生物学中的许多有趣问题都涉及初始数据准备步骤，这些步骤可能非常麻烦且耗时。 专业和一般公共分子生物学数据存储库的规模和数量不断增长。 许多新出现的研究问题需要访问多个数据集以用于特定的研究情况，通常仅使用每个存储库中的数据子集。 访问和查询这些多个来源给研究人员带来了一个非常现实的问题。 一个复杂的因素是与序列相关的一些注释数据的错误性质。最初将针对 GenBank 和 ZmDB 的子集开发用于整合和服务从公共数据库提取的精选数据的 BioExtract 服务器，以供玉米和其他植物研究人员使用。 服务器将提供序列存储库中错位的自动管理和识别。 通过网络访问，用户将能够选择一组特定的技术、进行灵活的查询、指定要使用的资源和命名并保留其选择以供重复使用。除了为研究生和本科生提供教育机会外，还将提供暑期实习机会。 将为用户准备不同专业水平的教程包，以提高尽可能广泛的用户对服务器的可访问性。