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008			111206s2012 xxu| o |||| 0|eng d
020			_a9781617793615
024	7		_a10.1007/978-1-61779-361-5 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQH434 _b2012 EB
245	0	0	_aBacterial Molecular Networks : _bMethods and Protocols _cedited by Jacques van Helden, Ariane Toussaint, Denis Thieffry
250			_a1st edition 2012
264		1	_aTotowa, NJ _bHumana Press _c2012
300			_a1 recurso en línea (XI, 546 páginas) _b206 ilustraciones, 1 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 _v804
505	0		_aBacterial Molecular Networks: Bridging the Gap Between Functional Genomics and Dynamical Modeling -- Bacterial Interactomes: From Interactions to Networks -- From Bacterial to Microbial Ecosystems (Metagenomics) -- Prokaryote Genome Fluidity: Towards a System Approach of the Mobilome -- Reticulate Classification of Mosaic Microbial Genomes using NeAT Website -- From Metabolic Reactions to Networks and Pathways -- Predicting Metabolic Pathways by Subnetwork Extraction -- Directed Module Detection in a Large-scale Expression Compendium -- Using Phylogenetic Profiles to Predict Functional Relationships -- Extracting Regulatory Networks of Escherichia coli from RegulonDB -- Browsing Metabolic and Regulatory Networks with BioCyc -- Algorithms for Systematic Identification of Small Sub-graphs -- The Degree Distribution of Networks: Statistical Model Selection -- MAVisto: A Tool for Biological Network Motif Analysis -- Using MCL to Extract Clusters from Networks -- Protein Complex Prediction with RNSC (Method) -- Network Analysis and Protein Function Prediction with the PRODISTIN Web Site -- Using the NeAT Toolbox to Compare Networks to Networks, Clusters to Clusters, and Networks to Clusters -- Analyzing Biological Data Using R: Methods for Graphs and Networks -- Detecting Structural Invariants in Biological Reaction Networks -- Petri nets in Snoopy: A Unifying Framework for the Graphical Display, Computational Modelling, and Simulation of Bacterial Regulatory Networks -- Genetic Network Analyzer: A Tool for the Qualitative Modeling and Simulation of Bacterial Regulatory Networks -- Logical Modelling of Gene Regulatory Networks with GINsim -- Modelling the Evolution of Mutualistic Symbioses -- Modelling the Onset of Virulence in Pathogenic Bacteria -- Spatial Stochastic Cellular Modeling with the Smoldyn Simulator.
520			_aNetwork-based representations have become pervasive in most fields in biology. Bacterial Molecular Networks: Methods and Protocols provides authoritative descriptions of various experimental and computational methods enabling the characterization and analysis of molecular interaction networks, with a focus on bacteria. Divided into three convenient sections, this volume provides extensive coverage of  various experimental and in silico approaches aiming at the characterization of  network components, addresses the presentation of computational approaches to analyze the topology of molecular networks, and further introduces a variety of methods and tools enabling scientists to generate qualitative or quantitative dynamical models of molecular processes in bacteria. 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 protocols, and notes on troubleshooting and avoiding known pitfalls.   Authoritative and accessible, Bacterial Molecular Networks: Methods and Protocols is intended primarily for post-graduate students and researchers working in the field of experimental and computational microbiology and provides a combination of up-to-date reviews along with detailed protocols written by the developers of bioinformatics resources, such as databases and software tools.
988			_aSpringer_Protocols_2012
650		7	_2embne _9140738 _aGenética microbiana
650		7	_2embne _9667661 _aInteracción celular
776	0	8	_iPrinted edition: _z9781617793608
776	0	8	_iPrinted edition: _z9781617793622
776	0	8	_iPrinted edition: _z9781493961566
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-61779-361-5 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b10/2023 _dz _eIG _zSI