| 書目名稱 | Transcriptome Data Analysis |
| 編輯 | Rajeev K. Azad |
| 視頻video | http://file.papertrans.cn/929/928121/928121.mp4 |
| 概述 | Includes cutting-edge techniques.Provides step-by-step detail essential for reproducible results.Contains key implementation advice from the experts |
| 叢書名稱 | Methods in Molecular Biology |
| 圖書封面 |  |
| 描述 | .This detailed volume presents a comprehensive exploration of the advances in transcriptomics, with a focus on methods and pipelines for transcriptome data analysis. In addition to well-established RNA sequencing (RNA-Seq) data analysis protocols, the chapters also examine specialized pipelines, such as multi-omics data integration and analysis, gene interaction network construction, single-cell trajectory inference, detection of structural variants, application of machine learning, and more. As part of the highly successful .Methods in Molecular Biology. series, chapters include the kind of detailed implementation advice that leads to best results in the lab.?..?..Authoritative and practical, .Transcriptome Data Analysis. serves as an ideal resource for educators and researchers looking to understand new developments in the field, learn usage of the protocols for transcriptome data analysis, and implement the tools or pipelines to address relevant problemsof their interest...?..Chapter 4 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.. |
| 出版日期 | Book 2024 |
| 關鍵詞 | Transcriptomics; RNA-Seq analysis; RNA sequencing; Data integration; Gene interaction network; Machine le |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-0716-3886-6 |
| isbn_softcover | 978-1-0716-3888-0 |
| isbn_ebook | 978-1-0716-3886-6Series 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 |
|Archiver|手機版|小黑屋|
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