| 書(shū)目名稱(chēng) | Proteomics Data Analysis | | 編輯 | Daniela Cecconi | | 視頻video | http://file.papertrans.cn/762/761870/761870.mp4 | | 概述 | Includes cutting-edge techniques.Provides step-by-step detail essential for reproducible results.Contains key implementation advice from the experts | | 叢書(shū)名稱(chēng) | Methods in Molecular Biology | | 圖書(shū)封面 |  | | 描述 | This thorough book collects methods and strategies to analyze proteomics data. It is intended to describe how data obtained by gel-based or gel-free proteomics approaches can be inspected, organized, and interpreted to extrapolate biological information. Organized into four sections, the volume explores strategies to analyze proteomics data obtained by gel-based approaches, different data analysis approaches for gel-free proteomics experiments, bioinformatic tools for the interpretation of proteomics data to obtain biological significant information, as well as methods to integrate proteomics data with other omics datasets including genomics, transcriptomics, metabolomics, and other types of data. Written for the highly successful .Methods in Molecular Biology. series, chapters include the kind of detailed implementation advice that will ensure high quality results in the lab.?.Authoritative and practical, .Proteomics Data Analysis. serves as an idealguide to introduce researchers, both experienced and novice, to new tools and approaches for data analysis to encourage the further study of proteomics..Chapter 16 is available open access under a Creative Commons Attribution 4.0 Inter | | 出版日期 | Book 2021 | | 關(guān)鍵詞 | Gel-based proteomics; Gel-free proteomics; Data interpretation; Data integration; Proteomics datasets; Bi | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-0716-1641-3 | | isbn_softcover | 978-1-0716-1643-7 | | isbn_ebook | 978-1-0716-1641-3Series ISSN 1064-3745 Series E-ISSN 1940-6029 | | issn_series | 1064-3745 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Science+Busines |
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