Letter Change Bias and Local Uniqueness in Optimal Sequence Alignments
Considering two optimally aligned random sequences, we investigate the effect on the alignment score caused by changing a random letter in one of the two sequences. Using this idea in conjunction with large deviations theory, we show that in alignments with a low proportion of gaps the optimal align...
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| Format: | Report |
| Published: |
Unspecified
2013
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