000 | 03567nam a22005415i 4500 | ||
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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 |
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024 | 7 |
_a10.1007/978-0-387-33419-6 _2doi |
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050 | 4 | _aQH324.2-324.25 | |
072 | 7 |
_aPSD _2bicssc |
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072 | 7 |
_aUB _2bicssc |
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072 | 7 |
_aSCI056000 _2bisacsh |
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082 | 0 | 4 |
_a570.285 _223 |
100 | 1 |
_aForsdyke, Donald R. _eauthor. |
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245 | 1 | 0 |
_aEvolutionary Bioinformatics _h[electronic resource] / _cby Donald R. Forsdyke. |
264 | 1 |
_aBoston, MA : _bSpringer US, _c2006. |
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300 |
_aXX, 424 p. 86 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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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 |