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Modelling the Microbiome [Kõva köide]

  • Formaat: Hardback, 357 pages, kõrgus x laius: 254x178 mm, 58 Illustrations, color; 5 Illustrations, black and white
  • Sari: Methods in Molecular Biology
  • Ilmumisaeg: 26-Jun-2026
  • Kirjastus: Humana
  • ISBN-10: 1071650793
  • ISBN-13: 9781071650790
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  • Formaat: Hardback, 357 pages, kõrgus x laius: 254x178 mm, 58 Illustrations, color; 5 Illustrations, black and white
  • Sari: Methods in Molecular Biology
  • Ilmumisaeg: 26-Jun-2026
  • Kirjastus: Humana
  • ISBN-10: 1071650793
  • ISBN-13: 9781071650790
Teised raamatud teemal:

This volume discusses the latest techniques used to study the rapidly evolving field of microbiome research, with a focus on key methodologies needed to study microbes and their interactions in various communities. The chapters in this book present an end-to-end overview of approaches, from basic foundational concepts in metagenomic data analysis workflows, to important wet lab protocols highlighting the need for controls and data quality issues. The chapters also cover core bioinformatics and data processing approaches, community interactions and insights, predictive modelling tools leveraging metabolic networks, and a variety of modelling paradigms. 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.
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?Comprehensive and cutting-edge, Modelling the Microbiome is a valuable resource for students, researchers, and practitioners across disciplines such as microbiology, bioinformatics, and systems biology, and provides them with key tools and practical insights to enhance their microbiome studies.

 

Unlocking the Metagenome: Pipeline for Microbiome Data
Analysis.- Targeted Metagenomics using Next Generation Sequencing
Methods.- Exploring the Oceans Microbial World: Techniques and Protocols for
Microbiome Research.- Shotgun Metagenomic Analysis of Microbial Community
Dynamics in Wastewater Treatment Through Constructed
Wetlands.- Dilution-to-Stimulation: A Method for Selecting
Polymer-Transforming Microbial Consortia.- Computational Microbial and Viral
Ecology Analysis.- Identifying Differential Network Properties and Driver
Microbes in Microbial Association Networks using CompNet and
NetShift.- Estimating Effective Pairwise Interactions to Predict the
Structures of Microbial Communities (EPICS).- Evaluating Metabolic Support in
Pairwise Microbial Communities Using MetQuest.- Constraint-Based Metabolic
Modelling Approach for Microbial Communities.- Constraint-Based Modelling of
Microbial Communities for Metabolite Production.- Personalized
Constraint-Based Modeling of Microbial Communities from Metagenomic Data.-
Predicting Interspecies Metabolic Dependencies in Microbial Communities by
Integrating Flux Coupling Analysis with SteadyCom.- Describing and Designing
Microbial Community Metabolic Models In Silico: A Comprehensive Protocol
Utilizing FLYCOP.- Dynamic Simulation of Growth and Cross-Feeding in
Microbiomes with µbialSim.- LambdaPy and LambdaR: Thermodynamics-Based
Biogeochemical Reaction Modeling Packages for Integrating High-Resolution
Mass Spectrometry Data.