首页 | 本学科首页   官方微博 | 高级检索  
检索        


caGrid 1.0: An Enterprise Grid Infrastructure for Biomedical Research
Authors:Scott Oster  Stephen Langella  Shannon Hastings  David Ervin  Ravi Madduri  Joshua Phillips  Tahsin Kurc  Frank Siebenlist  Peter Covitz  Krishnakant Shanbhag  Ian Foster  Joel Saltz
Institution:aDepartment of Biomedical Informatics, The Ohio State University, Columbus, OH;bMathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL;cNational Cancer Institute Center for Bioinformatics, Rockville, MD;dSemanticBits, Reston, VA.
Abstract:

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) 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.
Keywords:
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号