Metabolomics Data Processing and Data Analysis-Current Best Practices


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Description

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
Publisher: Mdpi AG
Published: 09/10/2021
Pages: 276
Binding Type: Hardcover
Weight: 1.75lbs
Size: 9.61h x 6.69w x 0.88d
ISBN13: 9783036511948
ISBN10: 3036511946
BISAC Categories:
- Computers | General

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