Workshop on Data Management Technology for Molecular and Cell Biology

分子与细胞生物学数据管理技术研讨会

• 批准号: 0239993
• 负责人: Hosagrahar Jagadish
• 金额: $ 9.83万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-10-01 至 2004-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0239993&HistoricalAwards=false
• 关键词: Workshop; Data; Management; Technology; Molecular

EIA- 0239993 H.V. JagadishUniversity of MichiganTitle: Workshop on Data Management Technology for Molecular and Cell BiologyThis workshop, to be held in February 2003, will define a research agenda for data management technology in support of bioinformatics applications. Specifically, it will be supporting basic and applied research in molecular and cell biology, genomics, functional genomics, structural biology, biochemistry, genetics, molecular phylogeny, pharmacology, pharmcogenomics, chemoinformatics, systems biology of the cell, and industrial microbiology. This workshop aims to look into novel approaches of database management to fit the needs of bioinformatics research applications, rather than continue to support conventional database technology. The workshop will include substantial participation from bioinformatics researchers and developers, and biological and pharmaceutical researchers. Workshop topics will include but are not limited to the following: data integration: terminology management, seamless access, decision support; sequence data, shape data, graph and tree data, array and matrix data; similarity queries, pattern matching queries, recursive and graph queries; and workflow and experiment management.

EIA-0239993 H.V.Jagadish密歇根大学标题：分子和细胞生物学数据管理技术研讨会将于2003年2月举行，将确定支持生物信息学应用的数据管理技术的研究议程。具体地说，它将支持分子和细胞生物学、基因组学、功能基因组学、结构生物学、生物化学、遗传学、分子系统学、药理学、药物基因组学、化学信息学、细胞系统生物学和工业微生物学的基础和应用研究。这次研讨会的目的是探讨数据库管理的新方法，以适应生物信息学研究应用的需要，而不是继续支持传统的数据库技术。研讨会将包括生物信息学研究人员和开发人员以及生物和制药研究人员的大量参与。讲习班的主题将包括但不限于以下内容：数据集成：术语管理、无缝访问、决策支持；序列数据、形状数据、图形和树数据、数组和矩阵数据；相似性查询、模式匹配查询、递归和图形查询；以及工作流程和实验管理。