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Transcriptome Data Analysis. 2024 ed.
・ISBN 978-1-0716-3885-9 hard EUR 235.39
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| 著者・編者 | Azad, Rajeev K. (ed.), |
|---|---|
| シリーズ | (Methods in Molecular Biology 2812) |
| 出版社 | (Springer-Verlag New York Inc., US) |
| 出版年月 | 2024 |
| ページ数 | 394 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-44097＞ |
解説
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.