The Smith-Waterman algorithm is a dynamic programming algorithm used to perform sequence alignment, particularly in bioinformatics. It is an improvement over the Needleman-Wunsch algorithm, as it allows for local sequence alignments and can handle sequences with different lengths.
The algorithm takes two sequences as input and calculates a score that represents their similarity or dissimilarity.
The Smith-Waterman algorithm is a dynamic programming algorithm used to perform sequence alignment, particularly in bioinformatics. It is an improvement over the Needleman-Wunsch algorithm, as it allows for local sequence alignments and can handle sequences with different lengths.
The algorithm takes two sequences as input and calculates a score that represents their similarity or dissimilarity.
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