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.
Step1. Performance matrix
Step2. Backtracking
Step3. Finding out the start and the end index
Step4 Testing
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.
Step1. Performance matrix Step2. Backtracking Step3. Finding out the start and the end index Step4 Testing
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