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999			_c392697 _d392697 _x1
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008			110414s2009 xxu| o |||| 0|eng d
020			_a9781597455251
024	7		_a10.1007/978-1-59745-525-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQH324.2 _b2009 EB
245	0	0	_aSystems Biology _cedited by Ivan V. Maly
250			_a1st edition 2009
264		1	_aTotowa, NJ _bHumana Press _c2009
300			_a1 recurso en línea (XI, 500 páginas)
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 _v500
505	0		_aIntroduction: A Practical Guide to the Systems Approach in Biology -- Methods for Analyzing Biomolecular Systems -- Computational Modeling of Biochemical Networks Using COPASI -- Flux Balance Analysis: Interrogating Genome-Scale Metabolic Networks -- Modeling Molecular Regulatory Networks with JigCell and PET -- Rule-Based Modeling of Biochemical Systems with BioNetGen -- Ingeneue: A Software Tool to Simulate and Explore Genetic Regulatory Networks -- Spatial Analysis and Control of Cellular Processes -- Microfluidics Technology for Systems Biology Research -- Systems Approach to Therapeutics Design -- Rapid Creation, Monte Carlo Simulation, and Visualization of Realistic 3D Cell Models -- A Cell Architecture Modeling System Based on Quantitative Ultrastructural Characteristics -- Location Proteomics: Systematic Determination of Protein Subcellular Location -- Methods for Larger-Scale Systems Analysis -- Model-Based Global Analysis of Heterogeneous Experimental Data Using gfit -- Multicell Simulations of Development and Disease Using the CompuCell3D Simulation Environment -- BioLogic: A Mathematical Modeling Framework for Immunologists -- Dynamic Knowledge Representation Using Agent-Based Modeling: Ontology Instantiation and Verification of Conceptual Models -- Systems Biology of Microbial Communities.
520			_aThe rapidly developing methods of systems biology can help investigators to make inference and predictions from their data that intuition alone would not discern; however, the difficulty lies in the broad knowledge of mathematics and engineering that seems to be required to even evaluate the applicability of the methods to the problem at hand. In Systems Biology, scientists who possess that mathematical knowledge and have applied it effectively to various biological problems contribute methods which reflect their experience, crystallized in a form very similar to typical biological laboratory protocols. In order to best aid researchers, the chapters supply the theory behind the method, its step-by-step implementation, and the pitfalls explained thoroughly and from the practical angle. 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. Cutting-edge and easy to use, Systems Biology shatters the perceived insurmountable barrier between the laboratory and systems-biological research techniques.
988			_aSpringer_Protocols_2009
650		7	_2embne _9160489 _aBioinformática
776	0	8	_iPrinted edition: _z9781603278768
776	0	8	_iPrinted edition: _z9781934115640
776	0	8	_iPrinted edition: _z9781627039499
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-59745-525-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b01/2024 _dz _eIG _zSI