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Local sequence Alignment | Smith-Waterman Algorithm (Finding optimum alignment scores)
The Smith-Waterman algorithm, a dynamic programming approach, is a step-by-step process for finding optimal local alignments between two sequences. Bioinformatics commonly uses it to identify homologous regions between nucleotide or protein sequences. The algorithm's iterative nature is engaging, as it identifies the highest-scoring contiguous ...
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