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160511 ||| eng |
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|a 9783319287553
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|a Forsdyke, Donald R.
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| 245 |
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|a Evolutionary Bioinformatics
|h Elektronische Ressource
|c by Donald R. Forsdyke
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| 250 |
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|a 3rd ed. 2016
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2016, 2016
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| 300 |
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|a XXXIV, 471 p. 116 illus., 24 illus. in color
|b online resource
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| 505 |
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|a 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
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| 653 |
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|a Bioinformatics
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| 653 |
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|a Medical Genetics
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| 653 |
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|a Computational and Systems Biology
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| 653 |
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|a Protein Biochemistry
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| 653 |
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|a Evolutionary Biology
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| 653 |
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|a Biostatistics
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| 653 |
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|a Medical genetics
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| 653 |
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|a Evolution (Biology)
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| 653 |
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|a Proteins
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| 653 |
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|a Biometry
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 028 |
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|a 10.1007/978-3-319-28755-3
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| 856 |
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|u https://doi.org/10.1007/978-3-319-28755-3?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 576.8
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| 520 |
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|a 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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