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001 978-0-387-33419-6
003 DE-He213
005 20161121230653.0
007 cr nn 008mamaa
008 100525s2006 xxu| s |||| 0|eng d
020 _a9780387334196
_9978-0-387-33419-6
024 7 _a10.1007/978-0-387-33419-6
_2doi
050 4 _aQH324.2-324.25
072 7 _aPSD
_2bicssc
072 7 _aUB
_2bicssc
072 7 _aSCI056000
_2bisacsh
082 0 4 _a570.285
_223
100 1 _aForsdyke, Donald R.
_eauthor.
245 1 0 _aEvolutionary Bioinformatics
_h[electronic resource] /
_cby Donald R. Forsdyke.
264 1 _aBoston, MA :
_bSpringer US,
_c2006.
300 _aXX, 424 p. 86 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aInformation and DNA -- Memory — A Phenomenon of Arrangement -- Chargaff’s First Parity Rule -- Information Levels and Barriers -- Parity and Non-Parity -- Chargaff’s Second Parity Rule -- Stems and Loops -- Chargaff’s Cluster Rule -- Mutation and Speciation -- Species Survival and Arrival -- Chargaff’s GC rule -- Conflict within Genomes -- Conflict Resolution -- Exons and Introns -- Complexity -- Conflict between Genomes -- Self/Not-Self? -- The Crowded Cytosol -- Sex and Error-Correction -- Rebooting the Genome -- The Fifth Letter -- Epilogue To Perceive is Not To Select.
520 _aEvolutionary 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).
650 0 _aLife sciences.
650 0 _aHuman genetics.
650 0 _aProteomics.
650 0 _aBioinformatics.
650 0 _aEvolutionary biology.
650 0 _aAnimal genetics.
650 0 _aStatistics.
650 1 4 _aLife Sciences.
650 2 4 _aBioinformatics.
650 2 4 _aEvolutionary Biology.
650 2 4 _aAnimal Genetics and Genomics.
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:
_z9780387334189
856 4 0 _uhttp://dx.doi.org/10.1007/978-0-387-33419-6
912 _aZDB-2-SBL
950 _aBiomedical and Life Sciences (Springer-11642)
999 _c502208
_d502208