Computational Methods and Data Analysis for Metabolomics: 2104 (Methods in Molecular Biology, 2104) - Softcover

Softcover

ISBN 10: 1071602411 ISBN 13: 9781071602416

Publisher: Humana, 2021

Synopsis

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.

About this title

From the Back Cover

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.

Edition details

• Publisher: Humana
• Publication date: 2021
• Language: English
• ISBN 10: 1071602411
• ISBN 13: 9781071602416
• Binding: Paperback
• Number of pages: 502
• Editor: Li Shuzhao