Microbial Metabolomics
Methods and Protocols
Herausgegeben: Baidoo, Edward E.K.
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This detailed volume includes protocols that represent the breadth of microbial metabolomics approaches to both large-scale and small-scale experiments with intention of highlighting techniques that can be used for applications ranging from environmental microbiology to human disease. Utilizing mass spectrometry as their primary measurement tool, the chapters explore microbial metabolomics, metabolism and microbial physiology, metabolite sample preparation, current analytical techniques used to profile primary and secondary metabolites and lipids, as well as establishing data analysis workflow...
This detailed volume includes protocols that represent the breadth of microbial metabolomics approaches to both large-scale and small-scale experiments with intention of highlighting techniques that can be used for applications ranging from environmental microbiology to human disease. Utilizing mass spectrometry as their primary measurement tool, the chapters explore microbial metabolomics, metabolism and microbial physiology, metabolite sample preparation, current analytical techniques used to profile primary and secondary metabolites and lipids, as well as establishing data analysis workflows for targeted metabolomics, untargeted metabolomics, analysis of metabolic fluxes, and genome-scale models. Written for the highly successful Methods in Molecular Biology series, chapters include introduction to their respective topics, lists of the necessary materials and reagents, step-by-step readily reproducible protocols, and tips on troubleshooting and avoiding known pitfalls.
Authoritative and practical, Microbial Metabolomics: Methods and Protocols serves as an ideal reference for both novice and advanced users and can be adapted to similar analytical platforms or customized to suit the needs of the researcher.
Authoritative and practical, Microbial Metabolomics: Methods and Protocols serves as an ideal reference for both novice and advanced users and can be adapted to similar analytical platforms or customized to suit the needs of the researcher.
