How to build a Beowulf: a guide to the implementation and application of PC clusters
How to build a Beowulf: a guide to the implementation and application of PC clusters
Proceedings of the 2001 ACM/IEEE conference on Supercomputing
Interoperable Web services for computational portals
Proceedings of the 2002 ACM/IEEE conference on Supercomputing
On the Use of Agents in BioInformatics Grid
CCGRID '03 Proceedings of the 3st International Symposium on Cluster Computing and the Grid
ZENTURIO: An Experiment Management System for Cluster and Grid Computing
CLUSTER '02 Proceedings of the IEEE International Conference on Cluster Computing
BioGRID " An European Grid for Molecular Biology
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
Parallel Programming: Techniques and Applications Using Networked Workstations and Parallel Computers (2nd Edition)
Design and Implementation of a Computational Grid for Bioinformatics
EEE '04 Proceedings of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04)
The Grid 2: Blueprint for a New Computing Infrastructure
The Grid 2: Blueprint for a New Computing Infrastructure
GridSpeed: A Web-based Grid Portal Generation Server
HPCASIA '04 Proceedings of the High Performance Computing and Grid in Asia Pacific Region, Seventh International Conference
GBTK: A Toolkit for Grid Implementation of BLAST
HPCASIA '04 Proceedings of the High Performance Computing and Grid in Asia Pacific Region, Seventh International Conference
Implementation and Evaluation of a Java Based Computational Grid for Bioinformatics Applications
AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 1
Designing computing platform for BioGrid
International Journal of Computer Applications in Technology
Automating Experiments Using Semantic Data on a Bioinformatics Grid
IEEE Intelligent Systems
On design of cluster and grid computing environment toolkit for bioinformatics applications
IWDC'04 Proceedings of the 6th international conference on Distributed Computing
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Biology databases are diverse and massive. As a result, researchers must compare each sequence with vast numbers of other sequences. Comparison, whether of structural features or protein sequences, is vital in bioinformatics. These activities require high-speed, high-performance computing power to search through and analyze large amounts of data and industrial-strength databases to perform a range of data-intensive computing functions. Grid computing and Cluster computing meet these requirements. Biological data exist in various web services that help biologists search for and extract useful information. The data formats produced are heterogeneous and powerful tools are needed to handle the complex and difficult task of integrating the data. This paper presents a review of the technologies and an approach to solve this problem using cluster and grid computing technologies. The authors implement an experimental distributed computing application for bioinformatics, consisting of basic high-performance computing environments Grid and PC Cluster systems, multiple interfaces at user portals that provide useful graphical interfaces to enable biologists to benefit directly from the use of high-performance technology, and a translation tool for converting biology data into XML format.