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Bit-Parallel Computation of Local Similarity Score Matrices with Unitary
Weights

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Heikki Hyyrö and Gonzalo Navarro

Local similarity computation between two sequences permits detecting all
the relevant alignments present between subsequences thereof. A well-known
dynamic programming algorithm works in time *O(mn)*, *m* and *n*
being the lengths of the subsequences. The algorithm is rather slow when
applied over many sequence pairs. In this paper we present the first
bit-parallel computation of the score matrix, for a simplified choice of
scores. If the computer word has *w* bits,
then the resulting algorithm works in *O(mn*log min(m,n,w) / w)* time,
achieving up to 8-fold speedups in practice. Some DNA comparison applications
use precisely the simplified scores we handle, and thus our algorithm is
directly applicable. In others, our method could be used as a raw filter to
discard most of the strings, so the classical algorithm can be focused only on
the substring pairs that can yield relevant results.