Figure 5 1 Giant panda Ailuropoda melanoleuca Figure

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Figure 5. 1 Giant panda (Ailuropoda melanoleuca)

Figure 5. 1 Giant panda (Ailuropoda melanoleuca)

Figure 5. 2 A coalescence tree with six leaf nodes representing six DNA sequences

Figure 5. 2 A coalescence tree with six leaf nodes representing six DNA sequences

Figure 5. 3 A histogram showing the distribution of values of p in 100,

Figure 5. 3 A histogram showing the distribution of values of p in 100, 000 coalescence simulations under the standard coalescence model with infinite sites mutation and q = 2. 6

Figure 5. 4 A tree and a set of binary sequences, which together are

Figure 5. 4 A tree and a set of binary sequences, which together are not compatible with the infinite sites model

Figure 5. 5 Reciprocal monophyly (A) and incomplete lineage sorting (B)

Figure 5. 5 Reciprocal monophyly (A) and incomplete lineage sorting (B)

Figure 5. 5 (A) Reciprocal monophyly

Figure 5. 5 (A) Reciprocal monophyly

Figure 5. 5 (B) Incomplete lineage sorting

Figure 5. 5 (B) Incomplete lineage sorting

Figure 5. 6 The coalescence tree may (red) or may not (blue) match the

Figure 5. 6 The coalescence tree may (red) or may not (blue) match the structure of the species tree (black)

Figure 5. 7 Human mt. DNA tree

Figure 5. 7 Human mt. DNA tree

Figure 5. 8 Coalescence trees produced by different demographic and historical processes

Figure 5. 8 Coalescence trees produced by different demographic and historical processes

Figure 5. 8 Coalescence trees produced by different demographic and historical processes (Part 1)

Figure 5. 8 Coalescence trees produced by different demographic and historical processes (Part 1)

Figure 5. 8 Coalescence trees produced by different demographic and historical processes (Part 2)

Figure 5. 8 Coalescence trees produced by different demographic and historical processes (Part 2)

Figure 5. 8 Coalescence trees produced by different demographic and historical processes (Part 3)

Figure 5. 8 Coalescence trees produced by different demographic and historical processes (Part 3)

Figure 5. 9 The likelihood function for q under the standard coalescence model with

Figure 5. 9 The likelihood function for q under the standard coalescence model with infinite sites mutation when n = 2 and the two sequences differ by six nucleotide sites

Figure 5. 10 Likelihood surfaces for the migration rate parameter M (= 2 Nm)

Figure 5. 10 Likelihood surfaces for the migration rate parameter M (= 2 Nm) for two populations of sticklebacks from the Western and Eastern Pacific Ocean

Figure 5. 11 Distribution of chimpanzee subspecies and the posterior distribution of the migration

Figure 5. 11 Distribution of chimpanzee subspecies and the posterior distribution of the migration rates between Eastern, Central, and Western chimpanzees estimated using MCMC method

Figure 5. 11 Distribution of chimpanzee subspecies and posterior distribution of the migration rates

Figure 5. 11 Distribution of chimpanzee subspecies and posterior distribution of the migration rates between Eastern, Central, and Western chimpanzees estimated using MCMC method (Part 1)

Figure 5. 11 Distribution of chimpanzee subspecies and posterior distribution of the migration rates

Figure 5. 11 Distribution of chimpanzee subspecies and posterior distribution of the migration rates between Eastern, Central, and Western chimpanzees estimated using MCMC method (Part 2)

Figure 5. 12 A star phylogeny: the expected average tree when many loci from

Figure 5. 12 A star phylogeny: the expected average tree when many loci from a randomly mating population are analyzed simultaneously

Figure 5. 13 The site frequency spectrum (SFS) for a sample of African Americans

Figure 5. 13 The site frequency spectrum (SFS) for a sample of African Americans for 5982 SNPs

Figure 5. 14 The joint site frequency spectrum (SFS) for a Tibetan and a

Figure 5. 14 The joint site frequency spectrum (SFS) for a Tibetan and a Han Chinese population estimated for a genome-wide data set of all protein-coding genes

Figure 5. 15 Admixture analysis of 1056 individuals from 52 populations for 377 microsatellite

Figure 5. 15 Admixture analysis of 1056 individuals from 52 populations for 377 microsatellite loci

Figure 5. 16 A PCA analysis of 3000 European individuals, using 500, 000 SNPs

Figure 5. 16 A PCA analysis of 3000 European individuals, using 500, 000 SNPs for each individual

Figure 5. 16 A PCA analysis of 3000 European individuals, using 500, 000 SNPs

Figure 5. 16 A PCA analysis of 3000 European individuals, using 500, 000 SNPs for each individual (Part 1)

Figure 5. 16 A PCA analysis of 3000 European individuals, using 500, 000 SNPs

Figure 5. 16 A PCA analysis of 3000 European individuals, using 500, 000 SNPs for each individual (Part 2)

Equations 5. 1– 5. 3

Equations 5. 1– 5. 3

Exercise 5. 1, Table 1

Exercise 5. 1, Table 1

Exercise 5. 2, Figure 1

Exercise 5. 2, Figure 1