000			03141nam a22005175i 4500
001			u371134
003			SIRSI
005			20160812080111.0
007			cr nn 008mamaa
008			100301s2010 xxu| s |||| 0|eng d
020			_a9781441905406 _9978-1-4419-0540-6
040			_cMX-MeUAM
050		4	_aQR180-189.5
082	0	4	_a616.079 _223
100	1		_aFlower, Darren D.R. _eeditor.
245	1	0	_aBioinformatics for Immunomics _h[recurso electrónico] / _cedited by Darren D.R. Flower, Matthew Davies, Shoba Ranganathan.
264		1	_aNew York, NY : _bSpringer New York, _c2010.
300			_aXVI, 192 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aImmunomics Reviews:, An Official Publication of the International Immunomics Society ; _v3
505	0		_aComputational Vaccinology -- The Immuno Polymorphism Database -- The IMGT/HLA Database -- Ontology Development for the Immune Epitope Database -- TEPIDAS: A DAS Server for Integrating T-Cell Epitope Annotations -- Databases and Web-Based Tools for Innate Immunity -- Structural Immunoinformatics: Understanding MHC-Peptide-TR Binding -- Discovery of Conserved Epitopes Through Sequence Variability Analyses -- Tunable Detectors for Artificial Immune Systems: From Model to Algorithm -- Defining the Elusive Molecular Self -- A Bioinformatic Platform for a Bayesian, Multiphased, Multilevel Analysis in Immunogenomics.
520			_aThe field of Immunomics has developed within the post-genomic era as a response to the massive amount of biological and immunological data now available to researchers. Immunomics crosses the disciplines of immunology, genomics, proteomics and computational biology and address some fundamental problems in biological and medical research. This book covers some of the rich sources of immunological data that are currently available and describes the various bioinformatics techniques that have been utilized to aid our understanding of the immune system. It also describes the nature of the self/non-self distinction that forms the basis of immunological theory and how computational modeling can help to clarify our understanding of how the immune system works.
650		0	_aMedicine.
650		0	_aHuman genetics.
650		0	_aImmunology.
650		0	_aBioinformatics.
650		0	_aMicrobiology.
650	1	4	_aBiomedicine.
650	2	4	_aImmunology.
650	2	4	_aBioinformatics.
650	2	4	_aMicrobiology.
650	2	4	_aHuman Genetics.
700	1		_aDavies, Matthew. _eeditor.
700	1		_aRanganathan, Shoba. _eeditor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781441905390
830		0	_aImmunomics Reviews:, An Official Publication of the International Immunomics Society ; _v3
856	4	0	_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://link.springer.com/book/10.1007/978-1-4419-0540-6
596			_a19
942			_cLIBRO_ELEC
999			_c199014 _d199014