Computational Methods and Data Analysis for Metabolomics
Editors: Li, Shuzhao (Ed.)
- Includes cutting-edge methods and protocols
- Provides step-by-step detail essential for reproducible results
- Contains key notes and implementation advice from the experts
Buy this book
- About this book
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This book provides a comprehensive guide to scientists, engineers, and students that employ metabolomics in their work, with an emphasis on the understanding and interpretation of the data. Chapters guide readers through common tools for data processing, using database resources, major techniques in data analysis, and integration with other data types and specific scientific domains. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, practical guidance of methods and techniques, useful web supplements, and connect the steps from experimental metabolomics to scientific discoveries.
Authoritative and cutting-edge, Computational Methods and Data Analysis for Metabolomics to ensure successful results in the further study of this vital field.
- Table of contents (23 chapters)
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Overview of Experimental Methods and Study Design in Metabolomics, and Statistical and Pathway Considerations
Pages 1-10
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Metabolomics Data Processing Using XCMS
Pages 11-24
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Metabolomics Data Preprocessing Using ADAP and MZmine 2
Pages 25-48
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Metabolomics Data Processing Using OpenMS
Pages 49-60
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Analysis of NMR Metabolomics Data
Pages 61-97
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Table of contents (23 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Computational Methods and Data Analysis for Metabolomics
- Editors
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- Shuzhao Li
- Series Title
- Methods in Molecular Biology
- Series Volume
- 2104
- Copyright
- 2020
- Publisher
- Springer US
- Copyright Holder
- Springer Science+Business Media, LLC, part of Springer Nature
- eBook ISBN
- 978-1-0716-0239-3
- DOI
- 10.1007/978-1-0716-0239-3
- Hardcover ISBN
- 978-1-0716-0238-6
- Softcover ISBN
- 978-1-0716-0241-6
- Series ISSN
- 1064-3745
- Edition Number
- 1
- Number of Pages
- XI, 491
- Number of Illustrations
- 56 b/w illustrations, 119 illustrations in colour
- Topics
