PlantGDB - Plant Genome Database and Analysis Tools

PlantGDB - 植物基因组数据库和分析工具

• 批准号: 0321600
• 负责人: Volker Brendel
• 金额: --
• 依托单位: Iowa State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-01-01 至 2007-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0321600&HistoricalAwards=false
• 关键词: PlantGDB; Plant; Genome; Database; Analysis

Plant genome sequence data have been accumulating from three major sources: whole genome sequencing and assembly (Arabidopsis thaliana, rice, Medicago truncatula), genome survey sequencing (maize), and expressed sequence tags (ESTs). This data flow will likely continue, with a focus on complete sequencing of "reference species", draft sequencing of other selected species, and further EST and full-length cDNA sequencing. Our efforts will aid in the organization and interpretation of these sequence data through the development and implementation of integrated databases and analytical tools. Results of our project will be accessible via the PlantGDB Web site, http://www.plantgdb.org. Our scientific goals include estimation and characterization of the plant gene space and the extent and conservation of alternative splicing in plants. These objectives will in part be pursued by further development of algorithms and statistical methods for splice site recognition and gene structure prediction.The project will train graduate and undergraduate students in bioinformatics and plant genomics and encourage their consideration of careers in these fields. The PlantGDB database and Web site will serve both the research community by integrating data access and analysis tools and the broader community by providing tutorials. PlantGDB will also be hosting the Plant Genome Research Outreach Portal, a Web site providing access to a large number of resources and successful outreach programs.

植物基因组序列数据主要来自三个来源：全基因组测序和组装(拟南芥、水稻、紫花苜蓿)、基因组调查测序(玉米)和表达序列标签(EST)。这一数据流可能会继续下去，重点是“参考物种”的完整测序，其他选定物种的测序草案，以及进一步的EST和全长cDNA测序。我们的努力将通过开发和实施综合数据库和分析工具，帮助组织和解释这些序列数据。我们的项目结果将通过PlantGDB网站http://www.plantgdb.org.获得我们的科学目标包括对植物基因空间的估计和表征，以及植物中选择性剪接的范围和保护。这些目标将部分通过进一步开发剪接位点识别和基因结构预测的算法和统计方法来实现。该项目将培训生物信息学和植物基因组学的研究生和本科生，并鼓励他们考虑在这些领域从事职业。PlantGDB数据库和网站将通过整合数据访问和分析工具为研究社区提供服务，并通过提供教程为更广泛的社区服务。PlantGDB还将主持植物基因组研究推广门户网站，该网站提供访问大量资源和成功的推广计划的途径。