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020 _a9781603271592
024 7 _a10.1007/978-1-60327-159-2
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
245 1 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.
700 1 _aKeith, Jonathan M
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
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
_z(usuarios Universidad Europea de Valencia)
942 _2lcc
_cLE
988 _aSpringer_Protocols_2008
999 _c234442
_d234442