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Metabolomics Data Processing and Data Analysis-Current Best Practices

by Justin Van Der Hooft|Kati Hanhineva

Mdpi AG

Hardcover 276 pages English Sep 10, 2021

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Metabolomics data analysis strategies are central to transforming raw metabolomics data files into meaningful biochemical interpretations that answer biological questions or generate novel hypotheses. This book contains a variety of papers from a Special Issue around the theme "Best Practices in Metabolomics Data Analysis". Reviews and strategies for the whole metabolomics pipeline are included, whereas key areas such as metabolite annotation and identification, compound and spectral databases and repositories, and statistical analysis are highlighted in various papers. Altogether, this book contains valuable information for researchers just starting in their metabolomics career as well as those that are more experienced and look for additional knowledge and best practice to complement key parts of their metabolomics workflows.
Author:
Justin Van Der Hooft|Kati Hanhineva
Publisher:
Mdpi AG
Publication Date:
Sep 10, 2021
Number of pages:
276 pages
Language:
English
Binding:
Hardcover
ISBN-10:
3036511946
ISBN-13:
9783036511948