Improving Performance of Multiple Sequence Alignment Analysis in Multi-Client Environments
IPDPS '02 Proceedings of the 16th International Parallel and Distributed Processing Symposium
A component-based implementation of multiple sequence alignment
Proceedings of the 2003 ACM symposium on Applied computing
Parallel Multiple Sequence Alignment with Dynamic Scheduling
ITCC '05 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume I - Volume 01
Multiple Sequence Alignment on an FPGA
ICPADS '05 Proceedings of the 11th International Conference on Parallel and Distributed Systems - Workshops - Volume 02
Concurrency and Computation: Practice & Experience - Third IEEE International Workshop on High Performance Computational Biology (HiCOMB 2004)
Introduction to the cell multiprocessor
IBM Journal of Research and Development - POWER5 and packaging
Streaming Algorithms for Biological Sequence Alignment on GPUs
IEEE Transactions on Parallel and Distributed Systems
MT-clustalW: multithreading multiple sequence alignment
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
All-pairs computations on many-core graphics processors
Parallel Computing
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Multiple sequence alignment is an important tool in bioinformatics. Although efficient heuristic algorithms exist for this problem, the exponential growth of biological data demands an even higher throughput. The recent emergence of accelerator technologies has made it possible to achieve a highly improved execution time for many bioinformatics applications compared to general-purpose platforms. In this paper, we demonstrate how the PlayStation®3, powered by the Cell Broadband Engine, can be used as a computational platform to accelerate the distance matrix computation utilized in multiple sequence alignment algorithms.