Overview

Together with early theoretical work in population genetics, the debate on sources of genetic makeup initiated by proponents of the neutral theory made a solid contribution to the spectacular growth in statistical methodologies for molecular evolution. Evolutionary Genomics: Statistical and Computational Methods is intended to bring together the more recent developments in the statistical methodology and the challenges that followed as a result of rapidly improving sequencing technologies.  Presented by top scientists from a variety of disciplines, the collection includes a wide spectrum of articles encompassing theoretical works and hands-on tutorials, as well as many reviews with key biological insight.  Volume 2 begins with phylogenomics and continues with in-depth coverage of natural selection, recombination, and genomic innovation. The remaining chapters treat topics of more recent interest, including population genomics, -omics studies, and computational issues related to the handling of large-scale genomic data.  Written in the highly successful Methods in Molecular Biology™ series format, this work provides the kind of advice on methodology and implementation that is crucial for getting ahead in genomic data analyses.   Comprehensive and cutting-edge, Evolutionary Genomics: Statistical and Computational Methods is a treasure chest of state-of the-art methods to study genomic and omics data, certain to inspire both young and experienced readers to join the interdisciplinary field of evolutionary genomics.

Full Product Details

Author:   Maria Anisimova
Publisher:   Humana Press Inc.
Imprint:   Humana Press Inc.
Edition:   Softcover reprint of the original 1st ed. 2012
Volume:   856
Weight:   1.454kg
ISBN:  

9781493960422

ISBN 10:   1493960423
Pages:   556
Publication Date:   23 August 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Tangled Trees: The Challenge of Inferring Species Trees from Coalescent and Non-Coalescent Genes.- Modeling Gene Family Evolution and Reconciling Phylogenetic Discord.- Genome-Wide Comparative Analysis of Phylogenetic Trees: The Prokaryotic Forest of Life.- Philosophy and Evolution: Minding the Gap Between Evolutionary Patterns and Tree-Like Patterns.- Selection on the Protein Coding Genome.- Methods to Detect Selection on Non-Coding DNA.- The Origin and Evolution of New Genes.- Evolution of Protein Domain Architectures.- Estimating Recombination Rates from Genetic Variation in Humans.- Evolution of Viral Genomes: Interplay Between Selection, Recombination, and Other Forces.- Association Mapping and Disease: Evolutionary Perspectives.- Ancestral Population Genomics.- Non-Redundant Representation of Ancestral Recombinations Graphs.- Using Genomic Tools to Study Regulatory Evolution.- Characterization and Evolutionary Analysis of Protein-Protein Interaction Networks.- Statistical Methods in Metabolomics.- Introduction to the Analysis of Environmental Sequences: Metagenomics with MEGAN.- Analyzing Epigenome Data in Context of Genome Evolution and Human Diseases.- Genetical Genomics for Evolutionary Studies.- Genomics Data Resources: Frameworks and Standards.- Sharing Programming Resources Between Bio* Projects through Remote Procedure Call and Native Call Stack Strategies.- Scalable Computing for Evolutionary Genomics.

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