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Bioinformatics
Developing Scientific Applications with Loosely-Coupled Sub-tasks
ICCS '09 Proceedings of the 9th International Conference on Computational Science: Part I
Open grid computing environments: advanced gateway support activities
Proceedings of the 2010 TeraGrid Conference
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Exploring the RNA folding energy landscape using scalable distributed cyberinfrastructure
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
Abstractions for Loosely-Coupled and Ensemble-Based Simulations on Azure
CLOUDCOM '10 Proceedings of the 2010 IEEE Second International Conference on Cloud Computing Technology and Science
Proceedings of the second international workshop on Emerging computational methods for the life sciences
Energy landscape analysis for regulatory RNA finding using scalable distributed cyberinfrastructure
Concurrency and Computation: Practice & Experience
A Grid-Enabled Gateway for Biomedical Data Analysis
Journal of Grid Computing
Proceedings of the 3rd international workshop on Emerging computational methods for the life sciences
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This work is predicated on three important trends: (i) that the importance, impact and percentage of TeraGrid/XD resources assigned to the life sciences is increasing at a rate that is probably greater than other disciplines, (ii) that gateways have proven to be a very effective access mechanism to distributed HPC resources provided by the TeraGrid/XD, and in particular a very successful model for shared/community access models, and (iii) that in spite of the previous two points there are missing capabilities and abstractions that enable the use of the collective capacity of distributed cyberinfrastructure such as TeraGrid/XD, especially those that can be used to develop gateways in an easy, extensible and scalable fashion for both compute and data-intensive applications. We introduce the SAGA-based, Dynamic Application Runtime Environment (DARE) framework from which extensible, versatile and effective gateways that seamlessly utilize scalable infrastructure can be built for a life-science applications. We discuss the architecture of DARE-based gateways, and four specific life-science gateways -- DARE-RFOLD, DARE-DOCK, DARE-HTHP and DARE-NGS, that use the DARE-framework to support a wide-range of life-science capabilities.