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008			100301s2009 xxu| o |||| 0|eng d
020			_a9781597452519
024	7		_a10.1007/978-1-59745-251-9 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQH324.2 _b2009 EB
245	0	0	_aBioinformatics for DNA Sequence Analysis _cedited by David Posada
250			_a1st edition 2009
264		1	_aTotowa, NJ _bHumana Press _c2009
300			_a1 recurso en línea (XIV, 354 páginas) _b151 ilustraciones
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 _v537
505	0		_aSimilarity Searching Using BLAST -- Gene Orthology Assessment with OrthologID -- Multiple Alignment of DNA Sequences with MAFFT -- SeqVis: A Tool for Detecting Compositional Heterogeneity Among Aligned Nucleotide Sequences -- Selection of Models of DNA Evolution with jModelTest -- Estimating Maximum Likelihood Phylogenies with PhyML -- Trees from Trees: Construction of Phylogenetic Supertrees Using Clann -- Detecting Signatures of Selection from DNA Sequences Using Datamonkey -- Recombination Detection and Analysis Using RDP3 -- CodonExplorer: An Interactive Online Database for the Analysis of Codon Usage and Sequence Composition -- Genetic Code Prediction for Metazoan Mitochondria with GenDecoder -- Computational Gene Annotation in New Genome Assemblies Using GeneID -- Promoter Analysis: Gene Regulatory Motif Identification with A-GLAM -- Analysis of Genomic DNA with the UCSC Genome Browser -- Mining for SNPs and SSRs Using SNPServer, dbSNP and SSR Taxonomy Tree -- Analysis of Transposable Element Sequences Using CENSOR and RepeatMasker -- DNA Sequence Polymorphism Analysis Using DnaSP.
520			_aThe storage, processing, description, transmission, connection, and analysis of the waves of new genomic data have made bioinformatics skills essential for scientists working with DNA sequences. In Bioinformatics for DNA Sequence Analysis, experts in the field provide practical guidance and troubleshooting advice for the computational analysis of DNA sequences, covering a range of issues and methods that unveil the multitude of applications and the vital relevance that the use of bioinformatics has today. Individual book chapters explore the use of specific bioinformatic tools, accompanied by practical examples, a discussion on the interpretation of results, and specific comments on strengths and limitations of the methods and tools. As a part 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. Focused and cutting-edge, Bioinformatics for DNA Sequence Analysis serves molecular biologists, geneticists, and biochemists as an enriched task-oriented manual, offering step-by-step guidance for the analysis of DNA sequences in a simple but meaningful fashion.
988			_aSpringer_Protocols_2009
650		7	_2embne _9160489 _aBioinformática
650		7	_2embne _9163038 _aSecuenciación de ácidos nucleicos
776	0	8	_iPrinted edition: _z9781607610816
776	0	8	_iPrinted edition: _z9781617378393
776	0	8	_iPrinted edition: _z9781588299109
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-59745-251-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b12/2023 _dz _eIG _zSI