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The Smith Waterman algorithm is a method for precisely characterizing how well two sequences can be aligned and for determining the optimal alignment of those two sequences.
For example, the optimal alignment conditions for the V6 region aligned each of the candidate sequences completely.
RBT-GA is a population based optimization algorithm designed to find the optimal alignment for a set of input protein sequences.
Image registration is an optimization process that utilizes a similarity measure to find the optimal alignment of two images.
Birney, E., Thompson, J. D. & Gibson, T. J. PairWise and SearchWise: finding the optimal alignment in a simultaneous comparison of a protein profile against all DNA translation frames.
Determining the optimal alignment between two protein structures, however, remains a hard problem.
The Needleman-Wunsch algorithm, which is based on dynamic programming, guarantees finding the optimal alignment of pairs of sequences.
Finally, we show that our disk-assisted strategy is able to retrieve the optimal alignment when other tools fail.
The minimum distance to a state at frame identifies the optimal alignment.
Mathematically, finding the optimal alignment functions and is equivalent to minimizing the matching cost function defined as (25).
We selected mapping with the lowest energy as the optimal alignment.
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