作者: Rodolfo Batista , Alba Magalhaes Alves De Melo
DOI: 10.1109/CLUSTR.2006.311858
关键词: Space (mathematics) 、 Algorithm 、 Computer science 、 Parallel algorithm 、 Theoretical computer science 、 Divergence (statistics) 、 Computational complexity theory 、 Function (mathematics) 、 DNA sequencing 、 Affine transformation 、 Cluster (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.