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Methods in Molecular Biology

Computational Methods and Data Analysis for Metabolomics

Editors: Li, Shuzhao (Ed.)

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  • Includes cutting-edge methods and protocols 
  • Provides step-by-step detail essential for reproducible results 
  • Contains key notes and implementation advice from the experts
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eBook $169.00
price for USA in USD (gross)
  • ISBN 978-1-07-160239-3
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Hardcover $219.99
price for USA in USD
  • ISBN 978-1-07-160238-6
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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.

Table of contents (23 chapters)

Table of contents (23 chapters)

Buy this book

eBook $169.00
price for USA in USD (gross)
  • ISBN 978-1-07-160239-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $219.99
price for USA in USD
  • ISBN 978-1-07-160238-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Computational Methods and Data Analysis for Metabolomics
Editors
  • 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
978-1-07-160239-3
DOI
10.1007/978-1-0716-0239-3
Hardcover ISBN
978-1-07-160238-6
Series ISSN
1064-3745
Edition Number
1
Number of Pages
XI, 491
Number of Illustrations
56 b/w illustrations, 119 illustrations in colour
Topics