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Kategorie szczegółowe BISAC

Population Genetics of Multiple Loci

ISBN-13: 9780471979791 / Angielski / Twarda / 2000 / 384 str.

Freddy B. Christiansen
Population Genetics of Multiple Loci Freddy B. Christiansen 9780471979791 John Wiley & Sons - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Population Genetics of Multiple Loci

ISBN-13: 9780471979791 / Angielski / Twarda / 2000 / 384 str.

Freddy B. Christiansen
cena 1324,70
(netto: 1261,62 VAT:  5%)

Najniższa cena z 30 dni: 1308,52
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Population genetics thrives on the constant interaction between theoretical and empirical knowledge. In the first instance, population genetics was developed using a one locus, two allele model for genetic variation. The simplicity of these models opened up population and evolutionary genetics to biologists without specialist training in mathematics. Population genetics of multi-allelic loci is more complex and requires a degree of mathematical insight, therefore its study is In this presentation, the author provides a unified theory which demonstrates that multi-locus theory need not be an esoteric and difficult subject, and that the formulation and the discussion of the basic principles may be done in any course that covers basic population genetic theory.

Kategorie:
Nauka, Matematyka
Kategorie BISAC:
Science > Life Sciences - Genetics & Genomics
Medical > Genetyka kliniczna
Mathematics > Matematyka stosowana
Wydawca:
John Wiley & Sons
Seria wydawnicza:
Mathematical and Computational Biology
Język:
Angielski
ISBN-13:
9780471979791
Rok wydania:
2000
Numer serii:
000149805
Ilość stron:
384
Waga:
0.91 kg
Wymiary:
26.1 x 17.7 x 2.7
Oprawa:
Twarda
Wolumenów:
01
Dodatkowe informacje:
Glosariusz/słownik

"...a significant contribution to mathematical population genetics...recommended"--Monatshefte fur Mathematik, Vol 131/2, 2000"This book makes an excellent contribution."--Genetical Research, Vol 75, 2000

Interactions among Genes.

RECOMBINATION AND SEGREGATION.

Random Mating: Sexes Equal.

Random Mating: Sex Difference.

Inbreeding: Partial Selfing.

Migration and Mixing.

Phenotypic Variation.

SELECTION.

Viability Selection.

Symmetric Viability Selection.

Fertility Selection.

Mutation and Selection.

Migration and Selection.

Evolution of Recombination.

Glossary.

References.

Index.

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 and migration. 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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