Noise
- As R contains a sum of values from the low level matrices, it is normalised before high level DP
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- R is the sum of nm low level matrices, most of them representing pairs which are not in the final alignment, thus introducing noise
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- Therefore, only low level alignments scoring above a cutoff is accumulated