首页> 外文期刊>IEEE transactions on information technology in biomedicine >A Semantic Grid Infrastructure Enabling Integrated Access and Analysis of Multilevel Biomedical Data in Support of Postgenomic Clinical Trials on Cancer
【24h】

A Semantic Grid Infrastructure Enabling Integrated Access and Analysis of Multilevel Biomedical Data in Support of Postgenomic Clinical Trials on Cancer

机译:支持对癌症的基因组临床试验进行支持的多层次生物医学数据的集成访问和分析的语义网格基础结构

获取原文
获取原文并翻译 | 示例
           

摘要

This paper reports on original results of the Advancing Clinico-Genomic Trials on Cancer integrated project focusing on the design and development of a European biomedical grid infrastructure in support of multicentric, postgenomic clinical trials (CTs) on cancer. Postgenomic CTs use multilevel clinical and genomic data and advanced computational analysis and visualization tools to test hypothesis in trying to identify the molecular reasons for a disease and the stratification of patients in terms of treatment. This paper provides a presentation of the needs of users involved in postgenomic CTs, and presents such needs in the form of scenarios, which drive the requirements engineering phase of the project. Subsequently, the initial architecture specified by the project is presented, and its services are classified and discussed. A key set of such services are those used for wrapping heterogeneous clinical trial management systems and other public biological databases. Also, the main technological challenge, i.e. the design and development of semantically rich grid services is discussed. In achieving such an objective, extensive use of ontologies and metadata are required. The Master Ontology on Cancer, developed by the project, is presented, and our approach to develop the required metadata registries, which provide semantically rich information about available data and computational services, is provided. Finally, a short discussion of the work lying ahead is included.
机译:本文报道了癌症进展临床基因组试验综合项目的原始结果,该项目的重点是设计和开发欧洲生物医学网格基础设施,以支持癌症的多中心,后基因组临床试验(CT)。后基因组CT使用多级临床和基因组数据以及先进的计算分析和可视化工具来检验假设,以试图确定疾病的分子原因和就治疗而言的患者分层。本文介绍了参与后基因组CT的用户的需求,并以场景的形式提出了此类需求,这些场景驱动了项目的需求工程阶段。随后,介绍了该项目指定的初始体系结构,并对服务进行了分类和讨论。这些服务的关键是那些用于包装异构临床试验管理系统和其他公共生物学数据库的服务。此外,还讨论了主要的技术挑战,即语义丰富的网格服务的设计和开发。为了实现这一目标,需要广泛使用本体和元数据。介绍了该项目开发的《癌症本体论》,并提供了我们开发所需元数据注册表的方法,该方法提供了有关可用数据和计算服务的语义丰富的信息。最后,包括对未来工作的简短讨论。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号