This second editing provides new and updated methods on metabolomics software and tool universe. Chapters guide readers through data processing, 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, Second Edition aims to ensure successful results in the further study of this vital field.
Chapter 3 is available open access under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License via link.springer.com.