Metabolomics

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13C NMR Shift
advanced metabolomics data workflows
bioinformatics
biological system
Category=PSB
Chemical Shift
data analysis
Data Fusion Methods
data processing
data standardization
Differential Metabolites
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experimental protocols
Genome Scale Metabolic Network
LC MS Data
LC MS Run
LC NMR Spectroscopy
Loading Plot
mass spectrometry
Metabolic Fluxes
Metabolic Network
Metabolite Identification
metabolites
metabolomics
Metabolomics Data
metabonomics
molecules
MS Data Set
NIH Common Fund
NMR Data
NMR Data Analysis
NMR Experiment
NMR Peak
NMR Spectroscopy
NMR Spectrum
nuclear magnetic resonance spectroscopy
omics data integration
Ordinary Differential Equations
QC Sample
QSRR Model
quantitative analysis
statistical modeling
systems biology
Untargeted Metabolomics

Product details

  • ISBN 9781032242637
  • Weight: 540g
  • Dimensions: 156 x 234mm
  • Publication Date: 13 Dec 2021
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Metabolomics is the scientific study of the chemical processes in a living system, environment and nutrition. It is a relatively new omics science, but the potential applications are wide, including medicine, personalized medicine and intervention studies, food and nutrition, plants, agriculture and environmental science. The topics presented and discussed in this book are based on the European Molecular Biology Organization (EMBO) practical courses in metabolomics bioinformatics taught to those working in the field, from masters to postgraduate students, PhDs, postdoctoral and early PIs. The book covers the basics and fundamentals of data acquisition and analytical technologies, but the primary focus is data handling and data analysis. The mentioning and usage of a particular data analysis tool has been avoided; rather, the focus is on the concepts and principles of data processing and analysis. The material has been class-tested and includes lots of examples, computing and exercises.

Key Features:

  • Provides an overview of qualitative /quantitative methods in metabolomics
  • Offers an introduction to the key concepts of metabolomics, including experimental design and technology
  • Covers data handling, processing, analysis, data standards and sharing
  • Contains lots of examples to illustrate the topics
  • Includes contributions from some of the leading researchers in the field of metabolomics with extensive teaching experiences

Ron Wehrens was an associate professor at the Radboud University Nijmegen (Netherlands) before founding the Biostatistics unit at the Fondazione Edmund Mach, San Michele all’Adige (Italy). Currently, he is Business Unit Manager at Biometris, Wageningen University & Research, Netherlands.

Reza Salek* has worked in the past in the University of Cambridge and The European Molecular Biology Laboratory European Bioinformatics Institute (EMBL EBI), Cambridge UK. He is currently scientist at The International Agency for Research on Cancer, an intergovernmental agency forming part of the World Health Organization of the United Nations, Lyon France.

*Where authors are identified as personnel of the International Agency for Research on Cancer / World Health Organization, the authors alone are responsible for the views expressed in this article and they do not necessarily represent the decisions, policy or views of the International Agency for Research on Cancer / World Health Organization