The Smith-Waterman algorithm is a dynamic programming technique used for local sequence alignment of biological sequences, such as DNA, RNA, or proteins. It finds the optimal local alignment between two sequences by identifying regions of similarity and scoring them based on predefined substitution and gap penalties.
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