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Saitou

Introduction to Evolutionary Genomics

Medium: Buch
ISBN: 978-1-4471-7159-1
Verlag: Springer
Erscheinungstermin: 27.08.2016
Lieferfrist: bis zu 10 Tage
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.

Produkteigenschaften


  • Artikelnummer: 9781447171591
  • Medium: Buch
  • ISBN: 978-1-4471-7159-1
  • Verlag: Springer
  • Erscheinungstermin: 27.08.2016
  • Sprache(n): Englisch
  • Auflage: Softcover Nachdruck of the original 1. Auflage 2013
  • Serie: Computational Biology
  • Produktform: Kartoniert, Paperback
  • Gewicht: 7314 g
  • Seiten: 461
  • Format (B x H x T): 155 x 235 x 27 mm
  • Ausgabetyp: Kein, Unbekannt

Autoren/Hrsg.

Autoren

Saitou, Naruya

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.