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GPU-based cloud service for multiple sequence alignments with regular expression constrains
Conference paper

GPU-based cloud service for multiple sequence alignments with regular expression constrains

Yu-Shiang Lin, Chun-Yuan Lin and YEH-CHING CHUNG
CloudCom 2012 - Proceedings: 2012 4th IEEE International Conference on Cloud Computing Technology and Science, pp.741-746
2012

Abstract

cloud computing CUDA dynamic programming GPUs graphics processing units multiple sequence alignments parallel processing regular expression user interface
Multiple sequence alignments with constrains has become an important problem in the computational biology. The concept of constrained sequence alignment is proposed to incorporate the biologist's domain knowledge into sequence alignments such that the user-specified residues/segments are aligned together in the alignment results. Over the past decade, a series of constrained multiple sequence alignment tools were proposed in the literature. GPU-REMuSiC is a newest tool with the regular expression constrains and uses the graphics processing units (GPUs) with CUDA. GPU-REMuSiC can achieve 29× speedups for overall computation time by the experimental results. However, the execution environment of GPU-REMuSiC need to build, and it's a threshold for biologists to set up. Therefore, we design an intuitive friendly user interface for the potential cloud server with GPUs. Use the user interface through network, we can send the input data to remote server without cumbersome setting in local host. Finally, we can receive the alignment results from the remote cloud server with GPUs. © 2012 IEEE.

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