Evolutionary Bioinformatics / by Donald R Forsdyke
By: Forsdyke, Donald R.
Contributor(s): SpringerLink (Online service)
Material type:
E-bookPublisher: Cham : Springer International Publishing, 2016Edition: 3rd ed.Description: 1 recurso en línea (XXXIV, 471 páginas) : 116 ilustraciones, 24 ilustraciones en color.ISBN: 9783319287553.Subject: Ciencias de la vida
| Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias de la Salud | QH324.2 F677 2016 EB (Browse shelf(Opens below)) | .i11591286 | Acceso electrónico | eBOOK .i11591286 |
Part 1. Information and DNA -- 1. Memory � A Phenomenon of Arrangement -- 2. Chargaff�s First Parity Rule -- 3. Information Levels and Barriers -- Part 2. Parity and Non-Parity -- 4. Chargaff�s Second Parity Rule -- 5. Stems and Loops -- 6. Chargaff�s Cluster Rule -- Part 3. Variation and Speciation -- 7. Mutation -- 8. Species Survival and Arrival -- 9. The Weak Point -- 10. Chargaff�s GC Rule -- 11. Homostability -- Part 4. Conflict within Genomes -- 12. Conflict Resolution -- 13. Exons and Introns -- 14. Complexity -- Part 5. Conflict between Genomes -- 15. Self/Not-Self? -- 16. The Crowded Cytosol -- Part 6. Sex and Error-Correction -- 17. Rebooting the Genome -- 18. The Fifth Letter -- Part 7. Information and Mind -- 19. Memory � What is Arranged and Where? -- 20.Certainty Now Uncertain.
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 znew bioinformaticsy 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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