Statistical Methods in Molecular Evolution

Molecular evolution is a very active reserach area. This book will discuss the interface between statistics and molecular evolution.

Provides a comprehensive review of the many interesting statistical problems arising in molecular evolution provided by the leading researchers in the field

Auteur
Molecular evolution is a very active reserach area. This book will
discuss the interface between statistics and molecular evolution.

Contenu
Markov Models in Molecular Evolution.- to Applications of the Likelihood Function in Molecular Evolution.- to Markov Chain Monte Carlo Methods in Molecular Evolution.- Population Genetics of Molecular Evolution.- Practical Approaches for Data Analysis.- Maximum Likelihood Methods for Detecting Adaptive Protein Evolution.- HyPhy: Hypothesis Testing Using Phylogenies.- Bayesian Analysis of Molecular Evolution Using MrBayes.- Estimation of Divergence Times from Molecular Sequence Data.- Models of Molecular Evolution.- Markov Models of Protein Sequence Evolution.- Models of Microsatellite Evolution.- Genome Rearrangement.- Phylogenetic Hidden Markov Models.- Inferences on Molecular Evolution.- The Evolutionary Causes and Consequences of Base Composition Variation.- Statistical Alignment: Recent Progress, New Applications, and Challenges.- Estimating Substitution Matrices.- Posterior Mapping and Posterior Predictive Distributions.- Assessing the Uncertainty in Phylogenetic Inference.