Computational Methods and Data Analysis for Metabolomics

Shuzhao Li

ISBN 10: 1071602381 / ISBN 13: 9781071602386

Published by Springer US, Springer US, 2020

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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 successfulMethods in Molecular Biologyseries 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 Metabolomicsto ensure successful results in the further study of this vital field.

Seller Inventory # 9781071602386

Bibliographic Details

• Title: Computational Methods and Data Analysis for Metabolomics
• Publisher: Springer US, Springer US
• Publication Date: 2020
• Language: English
• ISBN 10: 1071602381
• ISBN 13: 9781071602386
• Binding: Buch
• Condition: Neu
• Dimensions: 260W x 183H x 33D millimeters 260 millimeters width by 183 millimeters height by 33 millimeters depth
• Weight: 1136 grams

About this title

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.