Introduction to Evolutionary Genomics

by Naruya Saitou

Overview

This book is the first of its kind to explain the fundamentals of evolutionary genomics. The comprehensive coverage includes concise descriptions of a variety of genome organizations, a thorough discussion of the methods used, and a detailed review of genome sequence processing procedures. The opening chapters also provide the necessary basics for readers unfamiliar with evolutionary studies. Features: introduces the basics of molecular biology, DNA replication, mutation, phylogeny, neutral evolution, and natural selection; presents a brief evolutionary history of life from the primordial seas to the emergence of humans; describes the genomes of prokaryotes, eukaryotes, vertebrates, and humans; reviews methods for genome sequencing, phenotype data collection, homology searches and analysis, and phylogenetic tree and network building; discusses databases of genome sequences and related information, evolutionary distances, and population genomics; provides supplementary material at an associated website.

Product Details

ISBN-13:	9781447171591
Publisher:	Springer London
Publication date:	02/06/2015
Series:	Computational Biology , #17
Edition description:	Softcover reprint of the original 1st ed. 2013
Pages:	461
Product dimensions:	6.10(w) x 9.25(h) x 0.04(d)

About the Author

Dr. Naruya Saitou is a Professor in the Division of Population Genetics at the National Institute of Genetics, and a Professor in the Department of Genetics at the Graduate University for Advanced Studies, Mishima, Japan. He is also a Professor in the Department of Biological Sciences at the University of Tokyo, Japan.

Table of Contents

Part I: Basic Processes of Genome Evolution.- Basic Metabolism Surrounding DNAs.- Mutation.- Phylogeny.- Neutral Evolution.- Natural Selection.- Part II: Evolving Genomes.- Brief History of Life.- Prokaryote Genomes.- Eukaryote Genomes.- Vertebrate Genomes.- Human Genomes.- Part III: Methods for Evolutionary Genomics.- Genome Sequencing.- Omic Data Collection.- Databases.- Sequence Homology Handling.- Evolutionary Distances.- Tree and Network Building.- Population Genomics.