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Multiple Sequence Alignment

Authors: Karl-Heinz Zimmermann;

Multiple Sequence Alignment

Abstract

The problem of simultaneously aligning a number of sequences is referred to as multiple sequence alignment. We provide a dynamic programming algorithm for multiple alignment which extends the dynamic programming algorithm for global pairwise alignment. We describe frequency based algorithms to align a sequence against a multiple alignment and to align a multiple alignment against another multiple alignment. We introduce the method of 3D profile alignment that allows to align an amino acid sequence against a tertiary protein structure. This method is useful for tertiary structure prediction. As the dynamic programming algorithm for multiple sequence alignment is very time consuming, we provide a useful approximation algorithm and discuss the heuristic method of progressive alignment.

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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
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