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The Smith-Waterman algorithm is a dynamic programming algorithm used for local sequence alignment in bioinformatics. It helps to find the most similar regions between two biological sequences, such as DNA, RNA, or protein sequences. Unlike global alignment algorithms (like the Needleman-Wunsch algorithm), which align entire sequences, the Smith-Waterman algorithm focuses on identifying the best matching subsequences.