| 書目名稱 | Computational Methods and Data Analysis for Metabolomics | | 編輯 | Shuzhao Li | | 視頻video | http://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 | | 叢書名稱 | Methods in Molecular Biology | | 圖書封面 |  | | 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 | | 關(guān)鍵詞 | MzMine; lipidomics; mzCould database; Human Metabolome Database; MetaboAnalyst; Metabolomics | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-0716-0239-3 | | isbn_softcover | 978-1-0716-0241-6 | | isbn_ebook | 978-1-0716-0239-3Series ISSN 1064-3745 Series E-ISSN 1940-6029 | | issn_series | 1064-3745 | | copyright | Springer Science+Business Media, LLC, part of Springer Nature 2020 |
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