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Evolutionary Bioinformatics

  • Donald R. Forsdyke

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Information and DNA

    1. Front Matter
      Pages 1-1
    2. Donald R. Forsdyke
      Pages 3-26
    3. Donald R. Forsdyke
      Pages 27-45
    4. Donald R. Forsdyke
      Pages 47-66
  3. Parity and Non-Parity

    1. Front Matter
      Pages 67-67
    2. Donald R. Forsdyke
      Pages 69-90
    3. Donald R. Forsdyke
      Pages 91-109
    4. Donald R. Forsdyke
      Pages 111-127
  4. Variation and Speciation

    1. Front Matter
      Pages 129-129
    2. Donald R. Forsdyke
      Pages 131-151
    3. Donald R. Forsdyke
      Pages 153-169
    4. Donald R. Forsdyke
      Pages 171-188
    5. Donald R. Forsdyke
      Pages 189-204
    6. Donald R. Forsdyke
      Pages 205-218
  5. Conflict within Genomes

    1. Front Matter
      Pages 219-219
    2. Donald R. Forsdyke
      Pages 221-247
    3. Donald R. Forsdyke
      Pages 249-266
    4. Donald R. Forsdyke
      Pages 267-291
  6. Conflict between Genomes

    1. Front Matter
      Pages 293-293
    2. Donald R. Forsdyke
      Pages 295-318
    3. Donald R. Forsdyke
      Pages 319-337
  7. Sex and Error-Correction

    1. Front Matter
      Pages 339-339
    2. Donald R. Forsdyke
      Pages 341-361
    3. Donald R. Forsdyke
      Pages 363-374
  8. Information and Mind

    1. Front Matter
      Pages 375-375
    2. Donald R. Forsdyke
      Pages 377-389
  9. Back Matter
    Pages 391-509

About this book

Introduction

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).

Keywords

Parity Rule Stems Mutation Memory Genome

Authors and affiliations

  • Donald R. Forsdyke
    • 1
  1. 1.Dept. BiochemistryQueen's UniversityKingstonCanada

Bibliographic information

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