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007			cr nn 008mamaa
008			100301s2008 xxu| o |||| 0|eng d
020			_a9781603271592
024	7		_a10.1007/978-1-60327-159-2 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQH324.2 _b2008 EB
245	0	0	_aBioinformatics : _bVolume I: Data, Sequence Analysis and Evolution _cedited by Jonathan M. Keith
250			_a1st edition 2008
264		1	_aTotowa, NJ _bHumana Press _c2008
300			_a1 recurso en línea (XII, 562 páginas) _b136 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 _v452
505	0		_aData and Databases -- Managing Sequence Data -- RNA Structure Determination by NMR -- Protein Structure Determination by X-Ray Crystallography -- Pre-Processing of Microarray Data and Analysis of Differential Expression -- Developing an Ontology -- Genome Annotation -- Sequence Analysis -- Multiple Sequence Alignment -- Finding Genes in Genome Sequence -- Bioinformatics Detection of Alternative Splicing -- Reconstruction of Full-Length Isoforms from Splice Graphs -- Sequence Segmentation -- Discovering Sequence Motifs -- Phylogenetics and Evolution -- Modeling Sequence Evolution -- Inferring Trees -- Detecting the Presence and Location of Selection in Proteins -- Phylogenetic Model Evaluation -- Inferring Ancestral Gene Order -- Genome Rearrangement by the Double Cut and Join Operation -- Inferring Ancestral Protein Interaction Networks -- Computational Tools for the Analysis of Rearrangements in Mammalian Genomes -- Detecting Lateral Genetic Transfer -- Detecting Genetic Recombination -- Inferring Patterns of Migration -- Fixed-Parameter Algorithms in Phylogenetics.
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 I: Data, Sequence Analysis and Evolution examines a selection of methods involving the generation and organization of data, including sequence data, RNA and protein structures, microarray expression data and functional annotations, methods for discovering the functional components of genomes, whether they be genes, alternative splice sites, non-coding RNAs or regulatory motifs, and several of the most interesting methods in phylogenetics and evolution. 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 I: Data, Sequence Analysis and Evolution is an ideal reference for all scientists involved with the ever-growing array of data in the expanding field of life science.
988			_aSpringer_Protocols_2008
650		7	_2embne _9160489 _aBioinformática
650		7	_2embne _9139103 _aBiología molecular
776	0	8	_iPrinted edition: _z9781617377303
776	0	8	_iPrinted edition: _z9781588297075
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-60327-159-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b09/2023 _dz _eIG _zSI