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Evolutionary Genomics

Statistical and Computational Methods

  • Book
  • Open Access
  • © 2019

You have full access to this open access Book

Overview

  • Includes cutting-edge techniques
  • Provides step-by-step detail essential for reproducible results
  • Contains key implementation advice from the experts

Part of the book series: Methods in Molecular Biology (MIMB, volume 1910)

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Table of contents (25 protocols)

  1. Introduction: Bioinformatician’s Primers

  2. Genomic Alignment and Homology Inference

  3. Phylogenomics and Genome Evolution

  4. Natural Selection and Innovation in Genomic Sequences

Keywords

About this book

This open access book addresses the challenge of analyzing and understanding the evolutionary dynamics of complex biological systems at the genomic level, and elaborates on some promising strategies that would bring us closer to uncovering of the vital relationships between genotype and phenotype. After a few educational primers, the book continues with sections on sequence homology and alignment, phylogenetic methods to study genome evolution, methodologies for evaluating selective pressures on genomic sequences as well as genomic evolution in light of protein domain architecture and transposable elements, population genomics and other omics, and discussions of current bottlenecks in handling and analyzing genomic data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and expert implementation advice that lead to the best results. 

Authoritative and comprehensive, Evolutionary Genomics: Statistical and Computational Methods, Second Edition aims to serve both novices in biology with strong statistics and computational skills, and molecular biologists with a good grasp of standard mathematical concepts, in moving this important field of study forward.

Editors and Affiliations

  • Institute of Applied Simulations, School of Life Sciences and Facility Management, Zurich University of Applied Sciences (ZHAW), Wädenswil, Switzerland

    Maria Anisimova

Bibliographic Information

  • Book Title: Evolutionary Genomics

  • Book Subtitle: Statistical and Computational Methods

  • Editors: Maria Anisimova

  • Series Title: Methods in Molecular Biology

  • DOI: https://doi.org/10.1007/978-1-4939-9074-0

  • Publisher: Humana New York, NY

  • eBook Packages: Springer Protocols

  • Copyright Information: The Editor(s) (if applicable) and The Author(s) 2019

  • Hardcover ISBN: 978-1-4939-9073-3Published: 06 July 2019

  • eBook ISBN: 978-1-4939-9074-0Published: 05 July 2019

  • Series ISSN: 1064-3745

  • Series E-ISSN: 1940-6029

  • Edition Number: 2

  • Number of Pages: XVII, 780

  • Number of Illustrations: 79 b/w illustrations, 110 illustrations in colour

  • Topics: Bioinformatics, Genetics and Genomics, Evolutionary Biology

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