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Statistical Methods in Molecular Evolution

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Cover of 'Statistical Methods in Molecular Evolution'

Table of Contents

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    Book Overview
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    Chapter 1 Markov Models in Molecular Evolution
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    Chapter 2 Introduction to Applications of the Likelihood Function in Molecular Evolution
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    Chapter 3 Introduction to Markov Chain Monte Carlo Methods in Molecular Evolution
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    Chapter 4 Population Genetics of Molecular Evolution
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    Chapter 5 Maximum Likelihood Methods for Detecting Adaptive Protein Evolution
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    Chapter 6 HyPhy: Hypothesis Testing Using Phylogenies
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    Chapter 7 Bayesian Analysis of Molecular Evolution Using MrBayes
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    Chapter 8 Estimation of Divergence Times from Molecular Sequence Data
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    Chapter 9 Markov Models of Protein Sequence Evolution
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    Chapter 10 Models of Microsatellite Evolution
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    Chapter 11 Genome Rearrangement
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    Chapter 12 Phylogenetic Hidden Markov Models
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    Chapter 13 The Evolutionary Causes and Consequences of Base Composition Variation
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    Chapter 14 Statistical Alignment: Recent Progress, New Applications, and Challenges
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    Chapter 15 Estimating Substitution Matrices
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    Chapter 16 Posterior Mapping and Posterior Predictive Distributions
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    Chapter 17 Assessing the Uncertainty in Phylogenetic Inference
Attention for Chapter 3: Introduction to Markov Chain Monte Carlo Methods in Molecular Evolution
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