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008			100301s2008 xxu| s |||| 0|eng d
020			_a9781603274296
024	7		_a10.1007/978-1-60327-429-6 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aBioinformatics _bVolume II: Structure, Function and Applications _cedited by Jonathan M. Keith.
250			_a1st edition 2008
264		1	_aTotowa, NJ _bHumana Press _c2008
300			_a1 recurso en línea (XIV, 506 páginas) _b120 ilustraciones, 3 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aMethods in Molecular Biology _x1940-6029 _v453
505	0		_aStructures -- UNAFold -- Protein Structure Prediction -- An Introduction to Protein Contact Prediction -- Analysis of Mass Spectrometry Data in Proteomics -- The Classification of Protein Domains -- Inferring Function -- Inferring Function from Homology -- The Rosetta Stone Method -- Inferring Functional Relationships from Conservation of Gene Order -- Phylogenetic Profiling -- Phylogenetic Shadowing -- Prediction of Regulatory Elements -- Expression and Microarrays -- Identifying Components of Complexes -- Integrating Functional Genomics Data -- Applications and Disease -- Computational Diagnostics with Gene Expression Profiles -- Analysis of Quantitative Trait Loci -- Molecular Similarity Concepts and Search Calculations -- Optimization of the MAD Algorithm for Virtual Screening -- Combinatorial Optimization Models for Finding Genetic Signatures from Gene Expression Datasets -- Genetic Signatures for a Rodent Model of Parkinson's Disease Using Combinatorial Optimization Methods -- Analytical and Computational Methods -- Developing Fixed-Parameter Algorithms to Solve Combinatorially Explosive Biological Problems -- Clustering -- Visualization -- Constructing Computational Pipelines -- Text Mining.
520			_aNot only is the quantity of life science data expanding, but new types of biological data continue to be introduced as a result of technological development and a growing understanding of biological systems. Methods for analyzing these data are an increasingly important component of modern biological research. In Bioinformatics, leading researchers in the field provide a selection of the most useful and widely applicable methods, able to be applied as is, or with minor variations, to many specific problems. Volume II: Structure, Function and Applications contains methods pertinent to the prediction of protein and RNA structures and the analysis and classification of structures, methods for inferring the function of previously identified genomic elements, chiefly protein-coding genes, medical applications in diagnostics and drug discovery, and "meta-methods" for developers of bioinformatics algorithms. As a volume of the highly successful Methods in Molecular Biology™ series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Comprehensive and cutting-edge, Bioinformatics: Volume II: Structure, Function and Applications is an ideal reference for all scientists involved with the ever-growing array of data in the expanding field of life science.
700	1		_aKeith, Jonathan M _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9781617378959
776	0	8	_iPrinted edition: _z9781603274289
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-60327-429-6 _z(usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Protocols_2008
999			_c234396 _d234396