000			03454nam a22003735i 4500
001			233552
003			ES-VaUE
005			20221220020507.0
007			cr nn 008mamaa
008			170221s2017 xxu| s |||| 0|eng d
020			_a9781493967537
024	7		_a10.1007/978-1-4939-6753-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aHidden Markov Models _bMethods and Protocols _cedited by David R. Westhead, M. S. Vijayabaskar.
250			_a1st edition 2017
264		1	_aNew York, NY _bSpringer International Publishing _c2017
300			_a1 recurso en línea (X, 221 páginas) _b59 ilustraciones, 17 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 _v1552
505	0		_aIntroduction to Hidden Markov Models and its Applications in Biology -- HMMs in Protein Fold Classification -- Application of Hidden Markov Models in Biomolecular Simulations -- Predicting Beta Barrel Transmembrane Proteins using HMMs -- Predicting Alpha Helical Transmembrane Proteins using HMMs -- Self-Organizing Hidden Markov Model Map (SOHMMM): Biological Sequence Clustering and Cluster Visualization -- Analyzing Single Molecule FRET Trajectories using HMM -- Modelling ChIP-seq Data using HMMs -- Hidden Markov Models in Bioinformatics: SNV Inference from Next Generation Sequence -- Computationally Tractable Multivariate HMM in Genome-wide Mapping Studies -- Hidden Markov Models in Population Genomics -- Differential Gene Expression (DEX) and Alternative Splicing Events (ASE) for Temporal Dynamic Processes using HMMs and Hierarchical Bayesian Modeling Approaches -- Finding RNA-Protein Interaction Sites using HMM -- Automated Estimation of Mouse Social Behaviours Based on a Hidden Markov Model -- Modeling Movement Primitives with Hidden Markov Models for Robotic and Biomedical Applications. .
520			_aThis volume aims to provide a new perspective on the broader usage of Hidden Markov Models (HMMs) in biology. Hidden Markov Models: Methods and Protocols guides readers through chapters on biological systems; ranging from single biomolecule, cellular level, and to organism level and the use of HMMs in unravelling the complex mechanisms that govern these complex systems. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Hidden Markov Models: Methods and Protocols aims to demonstrate the impact of HMM in biology and inspire new research.
700	1		_aWesthead, David R _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aVijayabaskar, M. S _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9781493967513
776	0	8	_iPrinted edition: _z9781493967520
776	0	8	_iPrinted edition: _z9781493982929
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4939-6753-7 _z(usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Protocols_2017
999			_c233552 _d233552