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Bacterial Molecular Networks: Methods and Protocols
Network-based representations have become pervasive in most fields in biology. Bacterial Molecular Networks: Methods and Prools 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 prools, and notes on troubleshooting and avoiding known pitfalls.

Authoritative and accessible, Bacterial Molecular Networks: Methods and Prools 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 prools written by the developers of bioinformatics resources, such as databases and software tools.

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Bacterial Molecular Networks: Methods and Protocols
Network-based representations have become pervasive in most fields in biology. Bacterial Molecular Networks: Methods and Prools 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 prools, and notes on troubleshooting and avoiding known pitfalls.

Authoritative and accessible, Bacterial Molecular Networks: Methods and Prools 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 prools written by the developers of bioinformatics resources, such as databases and software tools.

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Bacterial Molecular Networks: Methods and Protocols

Bacterial Molecular Networks: Methods and Protocols

Bacterial Molecular Networks: Methods and Protocols

Bacterial Molecular Networks: Methods and Protocols

Overview

Network-based representations have become pervasive in most fields in biology. Bacterial Molecular Networks: Methods and Prools 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 prools, and notes on troubleshooting and avoiding known pitfalls.

Authoritative and accessible, Bacterial Molecular Networks: Methods and Prools 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 prools written by the developers of bioinformatics resources, such as databases and software tools.

Product Details

ISBN-13: 9781493961566
Publisher: Springer-Verlag New York, LLC
Publication date: 08/23/2016
Series: Methods in Molecular Biology , #804
Edition description: Softcover reprint of the original 1st ed. 2012
Pages: 546
Product dimensions: 7.01(w) x 10.00(h) x 0.04(d)

Table of Contents

Bacterial 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 Shastic Cellular Modeling with the Smoldyn Simulator.

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