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A Block Recursive Algorithm for Sequence Alignment

Authors: Fang-Yuan Wang; Yu-Jian Li;

A Block Recursive Algorithm for Sequence Alignment

Abstract

Based on a new way to compute check points, this paper presents a "Block Recursive" sequence alignment algorithm, which can run in a time requirement between 1.5 mn and 3 mn in general cases but between 1.5 mn and 2 mn for sequences with high similarities. Still, the algorithm keeps a linear space requirement and always guarantees an optimal alignment result. Some experiments show that it runs at least 10% faster than the Hirschberg algorithm if the two compared sequences has a normalized edit distance less than 0.25.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
Average
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