Overview
- Includes cutting-edge methods and protocols
- Provides step-by-step detail essential for reproducible results
- Contains key notes and implementation advice from the experts
Part of the book series: Methods in Molecular Biology (MIMB, volume 2104)
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About this book
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.
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Keywords
Table of contents (23 protocols)
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Front Matter
Editors and Affiliations
Bibliographic Information
Book Title: Computational Methods and Data Analysis for Metabolomics
Editors: Shuzhao Li
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-0716-0239-3
Publisher: Humana New York, NY
eBook Packages: Springer Protocols
Copyright Information: Springer Science+Business Media, LLC, part of Springer Nature 2020
Hardcover ISBN: 978-1-0716-0238-6Published: 18 January 2020
Softcover ISBN: 978-1-0716-0241-6Published: 18 January 2021
eBook ISBN: 978-1-0716-0239-3Published: 17 January 2020
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: XI, 491
Number of Illustrations: 56 b/w illustrations, 119 illustrations in colour