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001 978-3-319-28755-3
003 DE-He213
005 20180206182948.0
007 cr nn 008mamaa
008 160427s2016 gw | s |||| 0|eng d
020 _a9783319287553
_9978-3-319-28755-3
050 4 _aQH359-425
072 7 _aPSAJ
_2bicssc
072 7 _aSCI027000
_2bisacsh
082 0 4 _a576.8
_223
100 1 _aForsdyke, Donald R.
_eauthor.
245 1 0 _aEvolutionary Bioinformatics
_h[recurso electrónico] /
_cby Donald R. Forsdyke.
250 _a3rd ed. 2016.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXXXIV, 471 p. 116 illus., 24 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aPart 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.
520 _aNow 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.
650 0 _aLife sciences.
650 0 _aHuman genetics.
650 0 _aProteomics.
650 0 _aSystems biology.
650 0 _aEvolutionary biology.
650 0 _aStatistics.
650 1 4 _aLife Sciences.
650 2 4 _aEvolutionary Biology.
650 2 4 _aSystems Biology.
650 2 4 _aProteomics.
650 2 4 _aStatistics for Life Sciences, Medicine, Health Sciences.
650 2 4 _aHuman Genetics.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319287539
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-3-319-28755-3
912 _aZDB-2-SBL
942 _cLIBRO_ELEC
999 _c225753
_d225753