Genetic Data Analysis II: Methods for Discrete Population Genetic Data
Genetic Data Analysis, first published in 1990, became the standard reference for ways to interpret discrete population genetic data. Genetic Data Analysis II retains the strengths of the original book and, based upon the suggestions of users, includes many new features, notably the revision of Chapter 10 (Phylogeny Reconstruction) to incorporate newer methods, and new chapters on Linkage and Individual Identification.
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AA Aa aa AABB AB/ab algorithm alignment allele counts allele frequencies amino acid average base binomial bootstrap branch lengths calculated Chapter chi-square test covariance disease disequilibrium coefficient distance DNA sequence Equation evolutionary exact test Exercise expected value Figure fragments gametes gene diversity genetic data genetic sampling genotypic counts genotypic frequencies given gorilla Hardy-Weinberg equilibrium heterozygotes heterozygous homozygotes hypothesis inbreeding independent individuals iteration likelihood ratio linkage disequilibrium loci locus lod score log-likelihood matrix maximum likelihood estimate method MLE's MM.S MN.S MSMs MsNs MsNs MsNs multinomial distribution mutation neighbor-joining node nucleotides observed offspring Orangutan outcrossing parameters parent paternity permutation phenotypes possible probability procedure proportions protein quantity recombination fraction rejected replaced result score shown in Table significance level species test statistic tree tt tt two-locus UPGMA variation Weir within-population zero