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Construction of Federated Genome Knowledgebases by Grid Computing

Construction of Federated Genome Knowledgebases by Grid Computing
通过网格计算构建联合基因组知识库
批准号:
15607013
负责人:
MATSUDA Hideo
金额:
$2.24万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (C)
财政年份:
2003
资助国家:
日本
项目状态:
已结题
起止时间:
2003 至 2004

项目摘要

项目成果

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中文摘要
翻译
基因组相关数据分别存储在不同方案和格式的数据库中,如DNA核苷酸序列的DDBJ/EMBL/GenBank,蛋白质序列的PIR和Swiss-Prot,以及蛋白质三级结构的PDB。此外,还根据数据的领域或数据库的用途建立了一些数据库。最近,与基因组相关的数据库数量达到700多个数据库。在新的数据库管理方法和新的访问方法出现之前,用户很难找到新的有价值的知识,从这些角度出发,本研究针对以下主题:(1)基于本体的不同科学领域的统一数据访问,数据类型多样,属于不同的领域,即DNA核苷酸、蛋白质和细胞成分。因此,很难将这些数据库统一为单一共同方案。因此,我们开发了本体及其可用性技术,作为每个数据领域或跨学科领域的公共描述。(2)为联邦数据库的查询处理进行组合爆炸是可能的。为了解决这个问题,我们开发了一种定制网格环境的技术。
英文摘要
The genome-related data have been separately stored in different databases of which schemes and formats are different ; such as DDBJ/EMBL/GenBank for DNA nucleotide sequences, PIR and SWISS-PROT for protein sequences, and PDB for protein tertiary structures. Moreover, a number of databases have been constructed according to the domain of data or the purpose of databases. Recently, the number of genome-related databases reaches more than 700 databases. It is difficult for users to find new and valuable knowledge until new database management methods and new access methods are developed.From these viewpoints, this research aims at the following themes :(1)Ontology-based unified data access in different scientific domains.There are many types of data which belong to different domains ; namely, DNA nucleotides, proteins, and cellular components. For this reason, it is difficult to unify such databases into single common scheme. Thus we have developed ontologies and their usability technology as common descriptions of each data domain or interdisciplinary areas.(2)It is possible to make combinatorial explosion for the query processing of the federated databases. To cope with this issue, we have developed a technology for customizing a grid environment.
期刊论文(30)
专著(0)
科研奖励(0)
会议论文
A Method for Clustering Expression Data Based on Graph Structure
一种基于图结构的表达数据聚类方法
DOI: --
发表时间: 2004
期刊: Genome Informatics 15・2
影响因子: --
作者: [S.Seno, R.Teramoto, Y.Takenaka, H.Matsuda]
通讯作者: H.Matsuda
An OGSA-based Integration of Life Science Resources
基于OGSA的生命科学资源整合
DOI: --
发表时间: 2005
期刊: Methods of Information in Medicine 44(2)
影响因子: --
作者: [Kosaka, T.]
通讯作者: T.
Architecture of a Grid-Enabled Research Platform with Location-Transparency for Bioinformatics
具有位置透明性的生物信息学网格研究平台的架构
DOI: --
发表时间: 2005
期刊: Lecture Notes in Bioinformatics 3370
影响因子: --
作者: [Y.Tohsato, T.Kosaka, S.Date, S.Shimojo, H.Matsuda]
通讯作者: H.Matsuda
Haruki Nakamura, et al.: "A Challenge towards Next-Generation Research Infrastructure for Advanced Life Science"New Generation Computing. 22・2. 157-166 (2004)
Haruki Nakamura 等:“对先进生命科学的下一代研究基础设施的挑战”新一代计算 157-166。
DOI: --
发表时间:
期刊:
影响因子: --
作者: []
通讯作者:
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