caGrid 1.0: An enterprise Grid infrastructure for biomedical research
caGrid 1.0: An enterprise Grid infrastructure for biomedical research
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DOI：
10.1197/jamia.m2522
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发表时间：
2008-03-01
影响因子：
6.4
通讯作者：
Saltz, Joel
中科院分区：
文献类型：
--
作者：
Oster, Scott;Langella, Stephen;Saltz, Joel
目标：开发软件基础设施，为生物医学研究中各种不同的信息源、分析方法和应用的发现、表征、集成访问和管理提供支持。设计：一个企业网格软件基础设施，称为caGrid 1.0版本（caGrid 1.0），已被开发为nci赞助的癌症生物医学信息网格（caBIG (TM)）计划的核心网格架构。它旨在支持基础、转化和临床研究中的广泛用例，包括1)发现，2)集成和大规模数据分析，以及3)协调研究。度量：网格是作为网格软件基础设施构建的，并利用网格计算技术和Web服务资源框架标准。它提供了一组核心服务、用于开发和部署新的社区提供的服务的工具包，以及用于构建客户机应用程序的应用程序编程接口。结果：caGrid 1.0于2006年12月发布到caBIG社区。它建立在开源组件之上，并且caGrid源代码在自由开源许可下是公开和免费的。核心软件、相关工具和文档可从以下网址下载：https://cabig.nci.nih。gov /工作区/建筑/ caGrid。结论：虽然caGrid 1.0旨在解决癌症研究中的用例，但与发现、分析和整合大规模数据以及协调研究相关的需求在其他生物医学领域也很常见。在这方面，caGrid 1.0实现了一个可以使整个生物医学界受益的框架。
Objective: To develop software infrastructure that will provide support for discovery, characterization, integrated access, and management of diverse and disparate collections of information sources, analysis methods, and applications in biomedical research.Design: An enterprise Grid software infrastructure, called caGrid version 1.0 (caGrid 1.0), has been developed as the core Grid architecture of the NCI-sponsored cancer Biomedical Informatics Grid (caBIG (TM)) program. It is designed to support a wide range of use cases in basic, translational, and clinical research, including 1) discovery, 2) integrated and large-scale data analysis, and 3) coordinated study.Measurements: The caGrid is built as a Grid software infrastructure and leverages Grid computing technologies and the Web Services Resource Framework standards. It provides a set of core services, toolkits for the development and deployment of new community provided services, and application programming interfaces for building client applications.Results: The caGrid 1.0 was released to the caBIG community in December 2006. It is built on open source components and caGrid source code is publicly and freely available under a liberal open source license. The core software, associated tools, and documentation can be downloaded from the following URL: https://cabig.nci.nih. gov/workspaces/Architecture/caGrid.Conclusions: While caGrid 1.0 is designed to address use cases in cancer research, the requirements associated with discovery, analysis and integration of large scale data, and coordinated studies are common in other biomedical fields. In this respect, caGrid 1.0 is the realization of a framework that can benefit the entire biomedical community.