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Evolutionary Genomics

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Cover of 'Evolutionary Genomics'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Genome Biology and Diversity
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    Chapter 2 Probability, Statistics, and Computational Science
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    Chapter 3 A Not-So-Long Introduction to Computational Molecular Evolution
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    Chapter 4 Whole-Genome Alignment
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    Chapter 5 Inferring Orthology and Paralogy
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    Chapter 6 Transposable Elements: Classification, Identification, and Their Use As a Tool For Comparative Genomics
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    Chapter 7 Modern Phylogenomics: Building Phylogenetic Trees Using the Multispecies Coalescent Model
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    Chapter 8 Genome-Wide Comparative Analysis of Phylogenetic Trees: The Prokaryotic Forest of Life
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    Chapter 9 The Methodology Behind Network Thinking: Graphs to Analyze Microbial Complexity and Evolution
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    Chapter 10 Bayesian Molecular Clock Dating Using Genome-Scale Datasets
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    Chapter 11 Genome Evolution in Outcrossing vs. Selfing vs. Asexual Species
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    Chapter 12 Selection Acting on Genomes
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    Chapter 13 Looking for Darwin in Genomic Sequences: Validity and Success Depends on the Relationship Between Model and Data
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    Chapter 14 Evolution of Viral Genomes: Interplay Between Selection, Recombination, and Other Forces
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    Chapter 15 Evolution of Protein Domain Architectures
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    Chapter 16 New Insights on the Evolution of Genome Content: Population Dynamics of Transposable Elements in Flies and Humans
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    Chapter 17 Association Mapping and Disease: Evolutionary Perspectives
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    Chapter 18 Ancestral Population Genomics
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    Chapter 19 Introduction to the Analysis of Environmental Sequences: Metagenomics with MEGAN
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    Chapter 20 Multiple Data Analyses and Statistical Approaches for Analyzing Data from Metagenomic Studies and Clinical Trials
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    Chapter 21 Systems Genetics for Evolutionary Studies
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    Chapter 22 Semantic Integration and Enrichment of Heterogeneous Biological Databases
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    Chapter 23 High-Performance Computing in Bayesian Phylogenetics and Phylodynamics Using BEAGLE
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    Chapter 24 Scalable Workflows and Reproducible Data Analysis for Genomics
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    Chapter 25 Sharing Programming Resources Between Bio* Projects
Attention for Chapter 24: Scalable Workflows and Reproducible Data Analysis for Genomics
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