Evolutionary bioinformatics

FORSDYKE, Donald R.

ISBN 10: 0387334181 / ISBN 13: 9780387334189

Editore: Springer, 2006

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1st edition. Glazed boards bumped a bit at corners and spine head. Gift inscription on front pastedown. Otherwise, a bright, tidy copy in tight binding.

Codice articolo BOOKS261248I

Dati bibliografici

• Titolo: Evolutionary bioinformatics
• Editore: Springer
• Data di pubblicazione: 2006
• Lingua: Inglese
• ISBN 10: 0387334181
• ISBN 13: 9780387334189
• Rilegatura: Rilegato
• Condizione: Used - Very Good. VG hardback

Descrizione articolo

Riassunto

Books on bioinformatics which began appearing in the mid 80s primarily served gene-hunters, and biologists who wished to construct family trees showing tidy lines of descent. Given the great pharmaceutical industry interest in genes, this trend has continued in most subsequent texts. These deal extensively with the exciting topic of gene discovery and searching databases, but hardly consider genomes as information channels through which multiple forms and levels of information, including genic information, have passed through the generations. This book identifies the types of information that genomes transmit, shows how competition between different types is resolved in the genomes of different organisms, and identifies the evolutionary forces involved. The early chapters relate the form of information with which we are most familiar, namely written texts, to the DNA text that is our genome. This lends itself well to introducing historical aspects dating back to the nineteenth century.

Dalla quarta di copertina

Evolutionary Bioinformatics aims to make the "new" information-based (rather than gene-based) bioinformatics intelligible both to the "bio" people and the "info" people. Books on bioinformatics have traditionally served gene-hunters, and biologists who wish to construct family trees showing tidy lines of descent. While dealing extensively with the exciting topics of gene discovery and database-searching, such books have hardly considered genomes as information channels through which multiple forms and levels of information have passed through the generations. This "new bioinformatics," contrasts with the "old" gene-based bioinformatics that so preoccupies previous texts.

Evolutionary Bioinformatics extends a line of evolutionary thought that leads from the nineteenth century (Darwin, Butler, Romanes, Bateson), through the twentieth (Goldschmidt, White), and into the twenty first (the final works of the late Stephen Jay Gould). Long an area of controversy, diverging views may now be reconciled. The book is unique in emphasising non-genic aspects of bioinformatics, and linking modern evolutionary biology to a history that extends back to the nineteenth century. Forms of information that we are familiar with (mental, textual) are related to forms we are less familiar with (hereditary).