Abstract
This paper presents a new parallel algorithm, called “block-based wavefront”, to produce optimal pairwise alignment for biological sequences with reliable output and reasonable cost. It takes advantage of dynamic programming and parallel computing to produce optimal results in reasonable time. More importantly, the algorithm makes it possible for biologists to analyze datasets that were previously considered too long, often leading to memory overflow or prohibitively long time for computation.
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Du, Z., ji, Z., Lin, F. (2006). Parallel Computing for Optimal Genomic Sequence Alignment. In: Wang, L., Jiao, L., Shi, G., Li, X., Liu, J. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2006. Lecture Notes in Computer Science(), vol 4223. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11881599_61
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DOI: https://doi.org/10.1007/11881599_61
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-45916-3
Online ISBN: 978-3-540-45917-0
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