Z-align: An Exact and Parallel Strategy for Local Biological Sequence Alignment in User-Restricted Memory Space

作者: Rodolfo Batista , Alba Magalhaes Alves De Melo

DOI: 10.1109/CLUSTR.2006.311858

关键词: Space (mathematics)AlgorithmComputer scienceParallel algorithmTheoretical computer scienceDivergence (statistics)Computational complexity theoryFunction (mathematics)DNA sequencingAffine transformationCluster (physics)

摘要: The algorithm proposed by Smith-Waterman is an exact method that obtains optimal local alignments in quadratic space and time. For long sequences, complexity makes the use of this impractical. In scenario, parallel computing a very attractive alternative. paper, we propose evaluate z-align, strategy based on divergence concept to locally align biological sequences using affine gap function. Z-align runs limited memory space, where amount used can be defined user. results collected cluster with 16 processors presented good speedups for real DNA sequences. By comparing obtained z-align BLAST, it clear able produce longer more significant alignments.

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