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Multiple sequence alignment is an important problem and popular in the molecular biology. This is a basic problem that its solution could be used to proof and discover the similarity of the new sequence with other exist sequences; to define the evolution process of the family's sequences; as well as to support the protein structure prediction, etc. In this paper, the authors consider and improve the global progressing algorithm by using the cache storage technique to make the best of the previous alignment results. This algorithm and cache technique were been developed on the distributed system and Grid computing environment in order to decrease the algorithms execution time, as well as increase the quantity and size of input sequences.
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