June 30, 2007KINFORMS

A Tool for Pair-Wise Alignment Algorithm

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Implementation of pair-wise alignment algorithms reveals key evolutionary relationships, highlighting complexity in biological data analysis.

The tool effectively calculates alignment scores and identifies similarities between two sequences, enhancing evolutionary analysis.
Using methods like Needleman-Wunsch and Smith-Waterman ensures optimal alignment through dynamic programming principles.
The algorithm employs the BLOSUM50 substitution matrix to enhance the accuracy of biological sequence comparisons.
A user-friendly interface allows for seamless input of sequences from disk files, streamlining the alignment process.

Ahsan Rao (2007) studied this question.

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Implementation of pair-wise alignment algorithms reveals key evolutionary relationships, highlighting complexity in biological data analysis.