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007			cr nn 008mamaa
008			131029s2014 xxu| s |||| 0|eng d
020			_a9781627036467
024	7		_a10.1007/978-1-62703-646-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aMultiple Sequence Alignment Methods _cedited by David J Russell.
250			_a1st edition 2014
264		1	_aTotowa, NJ _bHumana Press _c2014
300			_a1 recurso en línea (XII, 287 páginas) _b63 ilustraciones, 47 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 _v1079
505	0		_aDynamic Programming -- Heuristic Alignment Methods -- Objective Functions -- An Appraisal of Benchmarks for Multiple Sequence Alignment -- BLAST and FASTA Similarity Searching for Multiple Sequence Alignment -- Clustal Omega, Accurate Alignment of Very Large Numbers of Sequences -- T-COFFEE: Tree-Based Consistency Objective Function for Alignment Evaluation -- MAFFT: Iterative Refinement and Additional Methods -- Multiple Sequence Alignment Using Probcons and Probalign -- Phylogeny-Aware Alignment with PRANK -- GramAlign: Fast Alignment Driven by Grammar-Based Phylogeny -- Multiple Sequence Alignment with DIALIGN -- PicXAA: A Probabilistic Scheme for Finding the Maximum Expected Accuracy Alignment of Multiple Biological Sequences -- Multiple Protein Sequence Alignment with MSAProbs -- Large-Scale Multiple Sequence Alignment and Tree Estimation Using SATé -- PRALINE: A Versatile Multiple Sequence Alignment Toolkit -- PROMALS3D: Multiple Protein Sequence Alignment Enhanced with Evolutionary and 3-Dimensional Structural Information -- MSACompro: Improving Multiple Protein Sequence Alignment by Predicted Structural Features.
520			_aFrom basic performing of sequence alignment through a proficiency at understanding how most industry-standard alignment algorithms achieve their results, Multiple Sequence Alignment Methods describes numerous algorithms and their nuances in chapters written by the experts who developed these algorithms.  The various multiple sequence alignment algorithms presented in this handbook give a flavor of the broad range of choices available for multiple sequence alignment generation, and their diversity is a clear reflection of the complexity of the multiple sequence alignment problem and the amount of information that can be obtained from multiple sequence alignments.  Each of these chapters not only describes the algorithm it covers but also presents instructions and tips on using their implementation, as is fitting with its inclusion in the highly successful Methods in Molecular Biology series.   Authoritative and practical, Multiple Sequence Alignment Methods provides a readily available resource which will allow practitioners to experiment with different algorithms and find the particular algorithm that is of most use in their application.
700	1		_aRussell, David J _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9781627036474
776	0	8	_iPrinted edition: _z9781627036450
776	0	8	_iPrinted edition: _z9781493960477
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-62703-646-7 _z(usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Protocols_2014
999			_c234350 _d234350