000			03798nam a22003615i 4500
001			232998
003			ES-VaUE
005			20221220020432.0
007			cr nn 008mamaa
008			181112s2018 xxu| s |||| 0|eng d
020			_a9781493986187
024	7		_a10.1007/978-1-4939-8618-7 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC
245	1	0	_aComputational Cell Biology _bMethods and Protocols _cedited by Louise von Stechow, Alberto Santos Delgado.
250			_a1st edition 2018
264		1	_aNew York, NY _bSpringer International Publishing _c2018
300			_a1 recurso en línea (XI, 436 páginas) _b77 ilustraciones, 69 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 _v1819
505	0		_aRule-based Models and Applications in Biology -- Optimized Protein-protein Interaction Network usage with Context Filtering -- SignaLink: Multi-layered Regulatory Networks -- Interplay between Long Non-coding RNAs and microRNAs in Cancer -- Methods and Tools in Genome-wide Association Studies -- Identifying Differentially Expressed Genes using Fluorescence-Activated Cell Sorting (FACS) and RNA Sequencing from Low Input Samples -- Computational and Experimental Approaches to Predict Host-parasite Protein-protein Interactions -- An Integrative Approach to Virus-host Protein-protein Interactions -- The SQUAD Method for the Qualitative Modeling of Regulatory Networks -- miRNet - functional Analysis and Visual Exploration of miRNA-target Interactions in a Network Context -- Systems Biology Analysis to Understand Regulatory miRNA Networks in Lung Cancer -- Spatial Analysis of Functional Enrichment (SAFE) in Large Biological Networks -- Toward Large Scale Computational Prediction of Protein Complexes -- Computational Models of Cell Cycle Transitions -- Simultaneous Profiling of DNA Accessibility and Gene Expression Dynamics with ATAC -- Computational Network Analysis for Drug Toxicity Prediction -- Modeling the Epigenetic Landscape in Plant Development -- Developing Network Models of Multi-scale Host Responses Involved in Infections and Diseases -- Exploring Dynamics and Noise in Gonadotropin-Releasing Hormone (GnRH) Signaling. .
520			_aThis volume details computational techniques for analyses of a wide range of biological contexts, providing an overview of the most up-to-date techniques used in the field. Chapters guide the reader through available data resources and analysis methods and easy-to-follow protocols that allow the researcher to apply various computational tools to an array of different data types. 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 and computational protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Computational Cell Biology: Method and Protocols aims to ensure successful results in the further study of this vital field.
700	1		_avon Stechow, Louise _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aSantos Delgado, Alberto _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
776	0	8	_iPrinted edition: _z9781493986170
776	0	8	_iPrinted edition: _z9781493986194
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-4939-8618-7 _z(usuarios Universidad Europea de Valencia)
942			_2lcc _cLE
988			_aSpringer_Protocols_2018
999			_c232998 _d232998