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Evolutionary bioinformatics

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Evolutionary bioinformatics/ by Donald R. Forsdyke.
作者:	Forsdyke, Donald R.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	xxxiv, 471 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Bioinformatics. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-28755-3
ISBN:	9783319287553

Evolutionary bioinformatics
Forsdyke, Donald R.

Evolutionary bioinformatics[electronic resource] /by Donald R. Forsdyke. - 3rd ed. - Cham :Springer International Publishing :2016. - xxxiv, 471 p. :ill., digital ;24 cm.

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 "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.

ISBN: 9783319287553

Standard No.: 10.1007/978-3-319-28755-3doiSubjects--Topical Terms:

583857
Bioinformatics.

LC Class. No.: QH324.2 / .F67 2016

Dewey Class. No.: 570.285

Evolutionary bioinformatics
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