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Titlebook: Mathematical Population Genetics 1; Theoretical Introduc Warren J. Ewens Book 2004Latest edition Springer Science+Business Media New York 2

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Discrete Stochastic Models,t can in practice be answered by using Markov chain theory, and in the next two chapters we shall introduce diffusion theory to arrive at a more complete, although approximate, description of the properties of Markov chain models of interest in genetics.
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Molecular Population Genetics: Introduction,genetic polymorphisms were usually described in terms of forces acting on gene frequencies. While in Chapters 6 and 7 the point was made that these polymorphisms are better viewed through forces acting on sets of genes at many loci, it remains true that no genetic unit finer than the gene has yet been considered in this book.
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Two Loci, has been noted in Section 2.10, on assessing the evolutionary effect of recombination between loci. It also allows us to assess the extent to which two-locus behavior is predictable from combining two single-locus analyses. We shall also see later in this chapter that it allows an investigation of the effects of modifier genes.
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Many Loci, the mating scheme, random or otherwise, about the fitness values, the number of loci that fitness depends on or the number of possible alleles at each locus. Thus we consider here both general and specific cases, and base our overall conclusions on the results deriving from both.
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0939-6047 des supplementary material: .Population genetics occupies a central role in a number of important biological and social undertakings. It is fundamental to our understanding of evolutionary processes, of plant and animal breeding programs, and of various diseases of particular importance to mankind..
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