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Population Genetics of Multiple Loci (Hardcover)
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Population Genetics of Multiple Loci (Hardcover)
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Population Genetics of Multiple Loci F. B. Christiansen University
of Aarhus, Denmark "This is a very beautiful and powerful study of
an area that Christiansen has dominated for many years." - Marcus
Feldman, Stanford University, USA Population genetics thrives on
the constant interaction between theoretical and empirical
knowledge. In the first instance, population genetics was developed
using one-locus, two-allele models for genetic variation. The
simplicity of these models opened up theoretical developments in
population and evolutionary genetics to biologists without
specialist training in mathematics. Population genetics of
multi-allelic loci is more complex and requires more mathematical
insight, and its study is predominantly undertaken by mathematical
biologists. Traditional formulations of multi-locus theory do not
simplify by assuming two alleles per locus. In this elegant
presentation the author provides a formulation of multi-locus
population genetics that retains the simplicity of two-allele
models.
* Provides an accessible and natural extension of classical
population genetics to multiple loci
* Exposes the population genetic aspects of sexual
reproduction
* Describes the complexity of evolutionary interactions among
genes
* Provides the background for insight into the functioning of
genetic algorithms applied in computer science
* Written by a world leader in the field
The book is divided into two main sections. Part I - Recombination
and Segregation - includes coverage of random mating, inbreeding,
migration and mixing. Part II - Selection - covers numerous
phenomena involving natural selection including viability,
fertility, mutation andmigration. The author has successfully
presented the theory in a way that is intelligible to anyone with a
reasonably good background in basic mathematics and is devoted to
learning multiple loci population genetics. The text is primarily
aimed at advanced undergraduate and postgraduate students and
researchers interested in genetics and population biology. It is
also essential reading for those working or researching in
biomathematics and adaptive computing.
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