Saltz Joel, Oster Scott, Hastings Shannon, Langella Stephen, Kurc Tahsin, Sanchez William, Kher Manav, Manisundaram Arumani, Shanbhag Krishnakant, Covitz Peter
Department of Biomedical Informatics, Ohio State University 3184 Graves Hall, 333 West 10th Avenue, Columbus, OH 43210, USA.
Bioinformatics. 2006 Aug 1;22(15):1910-6. doi: 10.1093/bioinformatics/btl272. Epub 2006 Jun 9.
The complexity of cancer is prompting researchers to find new ways to synthesize information from diverse data sources and to carry out coordinated research efforts that span multiple institutions. There is a need for standard applications, common data models, and software infrastructure to enable more efficient access to and sharing of distributed computational resources in cancer research. To address this need the National Cancer Institute (NCI) has initiated a national-scale effort, called the cancer Biomedical Informatics Grid (caBIGtrade mark), to develop a federation of interoperable research information systems.
At the heart of the caBIG approach to federated interoperability effort is a Grid middleware infrastructure, called caGrid. In this paper we describe the caGrid framework and its current implementation, caGrid version 0.5. caGrid is a model-driven and service-oriented architecture that synthesizes and extends a number of technologies to provide a standardized framework for the advertising, discovery, and invocation of data and analytical resources. We expect caGrid to greatly facilitate the launch and ongoing management of coordinated cancer research studies involving multiple institutions, to provide the ability to manage and securely share information and analytic resources, and to spur a new generation of research applications that empower researchers to take a more integrative, trans-domain approach to data mining and analysis.
The caGrid version 0.5 release can be downloaded from https://cabig.nci.nih.gov/workspaces/Architecture/caGrid/. The operational test bed Grid can be accessed through the client included in the release, or through the caGrid-browser web application http://cagrid-browser.nci.nih.gov.
癌症的复杂性促使研究人员寻找新方法，以整合来自不同数据源的信息，并开展跨多个机构的协同研究工作。在癌症研究中，需要标准应用程序、通用数据模型和软件基础设施，以便更高效地访问和共享分布式计算资源。为满足这一需求，美国国家癌症研究所（NCI）发起了一项名为癌症生物医学信息网格（caBIG™）的全国性工作，旨在开发一个可互操作的研究信息系统联盟。
caBIG联合互操作工作方法的核心是一个名为caGrid的网格中间件基础设施。在本文中，我们描述了caGrid框架及其当前实现版本caGrid 0.5。caGrid是一种模型驱动且面向服务的架构，它综合并扩展了多种技术，为数据及分析资源的发布、发现和调用提供了一个标准化框架。我们期望caGrid能极大地促进涉及多个机构的协同癌症研究的启动和持续管理，具备管理和安全共享信息及分析资源的能力，并催生新一代研究应用程序，使研究人员能够采用更综合、跨领域的方法进行数据挖掘和分析。
