Table of contents
About this book
Evolutionary genomics is a new discipline that bridges the fields of molecular evolution, bioinformatics and genomics in order to provide a unique perspective on the history of life.
This easy-to-follow textbook 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.
Topics and 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 modern 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 the website http://www.saitou-naruya-laboratory.org/Evolutionary_Genomics/
This essential text/reference provides an easy-to-read introduction to the field for undergraduate and graduate students, post-doctoral fellows, and established researchers from both computer science and the biological sciences.
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.
- DOI https://doi.org/10.1007/978-1-4471-5304-7
- Copyright Information Springer-Verlag London 2013
- Publisher Name Springer, London
- eBook Packages Computer Science Computer Science (R0)
- Print ISBN 978-1-4471-5303-0
- Online ISBN 978-1-4471-5304-7
- Series Print ISSN 1568-2684
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