000			03513nam a22005055i 4500
001			978-0-387-33419-6
003			DE-He213
005			20250710083951.0
007			cr nn 008mamaa
008			100525s2006 xxu| s |||| 0|eng d
020			_a9780387334196 _a99780387334196
024	7		_a10.1007/978-0-387-33419-6 _2doi
082	0	4	_a570.285 _223
100	1		_aForsdyke, Donald R. _eauthor.
245	1	0	_aEvolutionary Bioinformatics _h[recurso electrónico] / _cby Donald R. Forsdyke.
264		1	_aBoston, MA : _bSpringer US, _c2006.
300			_aXXII, 424p. 86 illus. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_arecurso en línea _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	_aEVOLUTION (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 _zVer el texto completo en las instalaciones del CICY
912			_aZDB-2-SBL
942			_2ddc _cER
999			_c57269 _d57269