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Evolutionary Bioinformatics

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Now in its third edition and supplemented with more online material, this book 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. Forms of information that we are familiar with (mental, textual) are related to forms with which we are less familiar (hereditary). The book 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.

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Detail Information

Series Title

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Call Number

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Publisher

: ., 2016

Collation

92 b/w illustrations, 24 illustrations in colour

Language

English

ISBN/ISSN

978-3-319-28755-3

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

-

Subject(s)

Protein Biochemistry
Medical Genetics
Computational and Systems Biology
Evolutionary Biology
Biostatistics

Specific Detail Info

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Statement of Responsibility

Donald R. Forsdyke

Other Information

Cataloger

agus

Source

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