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Titlebook: Computational Methods and Data Analysis for Metabolomics; Shuzhao Li Book 2020 Springer Science+Business Media, LLC, part of Springer Natu

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发表于 2025-3-21 16:27:59 | 显示全部楼层 |阅读模式
书目名称Computational Methods and Data Analysis for Metabolomics
编辑Shuzhao Li
视频videohttp://file.papertrans.cn/233/232695/232695.mp4
概述Includes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts
丛书名称Methods in Molecular Biology
图书封面Titlebook: Computational Methods and Data Analysis for Metabolomics; Shuzhao Li Book 2020 Springer Science+Business Media, LLC, part of Springer Natu
描述.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..
出版日期Book 2020
关键词MzMine; lipidomics; mzCould database; Human Metabolome Database; MetaboAnalyst; Metabolomics
版次1
doihttps://doi.org/10.1007/978-1-0716-0239-3
isbn_softcover978-1-0716-0241-6
isbn_ebook978-1-0716-0239-3Series ISSN 1064-3745 Series E-ISSN 1940-6029
issn_series 1064-3745
copyrightSpringer Science+Business Media, LLC, part of Springer Nature 2020
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Metabolomics Data Processing Using OpenMS,-processing workflows. The broad range of functionality and the interoperability of these tools enable complex, complete, and reproducible data analysis workflows in computational proteomics and metabolomics. We introduce the key concepts of OpenMS and illustrate its capabilities with a complete wor
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Key Concepts Surrounding Studies of Stable Isotope-Resolved Metabolomics,collect a wealth of data and therein characterize metabolic systems. Although analyses generally examine differences in absolute or relative (fold-) changes in concentrations, the ability to extract mechanistic insight would benefit from the use of isotopic tracers. Herein, we discuss important conc
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METLIN: A Tandem Mass Spectral Library of Standards,tion patterns as well as characteristic dissociation routes allows for structural information to be gained for specific metabolites and molecular classes, respectively. Here we describe the evolution of METLIN as a resource for small molecule analysis as well as the tools (e.g., Fragment Similarity
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Metabolomic Data Exploration and Analysis with the Human Metabolome Database,ata acquired from human and/or mammalian metabolomic studies. This chapter covers three methods or protocols pertinent to using the HMDB: (1) understanding the general layout of the HMDB; (2) exploring the contents of a typical HMDB “MetaboCard”; and (3) an example of how HMDB can be used in a metab
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