Details

Integrated Molecular Evolution


Integrated Molecular Evolution



von: Scott Orland Rogers

66,24 €

Verlag: Crc Press
Format: EPUB
Veröffentl.: 15.09.2016
ISBN/EAN: 9781482230925
Sprache: englisch
Anzahl Seiten: 574

DRM-geschütztes eBook, Sie benötigen z.B. Adobe Digital Editions und eine Adobe ID zum Lesen.

Beschreibungen

Evolutionary biology has increasingly relied upon tools developed in molecular biology that allow for the structure and function of macromolecules to be used as data for exploring the patterns and processes of evolutionary change. Integrated Molecular Evolution, Second Edition is a textbook intended to expansively and comprehensive review evolutionary studies now routinely using molecular data. This new edition has been thoroughly updated and expanded, and provides a basic summary of evolutionary biology as well as a review of current phylogenetics and phylogenomics.Reflecting a burgeoning pedagogical landscape, this new edition includes nearly double the number of chapters, including a new section on molecular and bioinformatic methods. Dedicated chapters were added on:Evolution of the genetic codeMendelian genetics and population geneticsNatural selectionHorizontal gene transfersAnimal development and plant development CancerExtraction of biological moleculesAnalytical methodsSequencing methods and sequencing analysesOmicsPhylogenetics and phylogenetic networksProtein traffickingHuman genomicsMore than 400 illustrations appear in this edition, doubling the number included in the first edition, and over 100 of these diagrams are now in color.The second edition combines and integrates extensive summaries of genetics and evolutionary biology in a manner that is accessible for students at either the graduate or undergraduate level. It also provides both the basic foundations of molecular evolution, such as the structure and function of DNA, RNA and proteins, as well as more advanced chapters reviewing analytical techniques for obtaining sequences, and interpreting and archiving molecular and genomic data.

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