Computational Methods and Data Analysis for Metabolomics

  • Shuzhao Li

Part of the Methods in Molecular Biology book series (MIMB, volume 2104)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Xavier Domingo-Almenara, Gary Siuzdak
    Pages 11-24
  3. Xiuxia Du, Aleksandr Smirnov, Tomáš Pluskal, Wei Jia, Susan Sumner
    Pages 25-48
  4. Marc Rurik, Oliver Alka, Fabian Aicheler, Oliver Kohlbacher
    Pages 49-60
  5. Wimal Pathmasiri, Kristine Kay, Susan McRitchie, Susan Sumner
    Pages 61-97
  6. Stephen F. Previs, Daniel P. Downes
    Pages 99-120
  7. J. Rafael Montenegro-Burke, Carlos Guijas, Gary Siuzdak
    Pages 149-163
  8. Marcus Ludwig, Markus Fleischauer, Kai Dührkop, Martin A. Hoffmann, Sebastian Böcker
    Pages 185-207
  9. W. Stephen Pittard, Cecilia “Keeko” Villaveces, Shuzhao Li
    Pages 245-263
  10. W. Stephen Pittard, Shuzhao Li
    Pages 265-311
  11. Tusharkanti Ghosh, Weiming Zhang, Debashis Ghosh, Katerina Kechris
    Pages 313-336
  12. Jake P. N. Hattwell, Janna Hastings, Olivia Casanueva, Horst Joachim Schirra, Michael Witting
    Pages 361-386
  13. Alla Karnovsky, Shuzhao Li
    Pages 387-400
  14. Casey M. Rebholz, Eugene P. Rhee
    Pages 401-417
  15. Yuping Cai, Ana K Rosen Vollmar, Caroline Helen Johnson
    Pages 447-467
  16. Guangyan Zhou, Shuzhao Li, Jianguo Xia
    Pages 469-487
  17. Back Matter
    Pages 489-491

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.


MzMine lipidomics mzCould database Human Metabolome Database MetaboAnalyst

Editors and affiliations

  • Shuzhao Li
    • 1
  1. 1.Department of MedicineEmory University School of MedicineAtlantaUSA

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media, LLC, part of Springer Nature 2020
  • Publisher Name Humana, New York, NY
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-0716-0238-6
  • Online ISBN 978-1-0716-0239-3
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • Buy this book on publisher's site
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