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Article . 2005 . Peer-reviewed
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https://dx.doi.org/10.5167/uzh...
Other literature type . 2005
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TESTING FOR EVOLUTIONARY RELATIONSHIP: AN APPLICATION OF MATHEMATICS IN MOLECULAR BIOLOGY

Authors: Barbour, A D;

TESTING FOR EVOLUTIONARY RELATIONSHIP: AN APPLICATION OF MATHEMATICS IN MOLECULAR BIOLOGY

Abstract

The paper illustrates some mathematical problems that are motivated by molecular biological applications and the techniques that are used to address them. The context is that of detecting evolutionary relationship on the basis of molecular sequence data and of measuring its strength. The Stein–Chen method is shown to play a central role in the theoretical analysis of many of the procedures used in practice.

Country
Switzerland
Related Organizations
Keywords

profile matching, 10123 Institute of Mathematics, 510 Mathematics, Sequence alignment, DNA, tree construction

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citations
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!
0
Average
Average
Average
Green
bronze