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Deep Sequencing Data Analysis. Second Edition 2021
・ISBN 978-1-0716-1105-0 paper EUR 129.99
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| 著者・編者 | Shomron, Noam (ed.), |
|---|---|
| シリーズ | (Methods in Molecular Biology 2243) |
| 出版社 | (Springer-Verlag New York Inc., US) |
| 出版年月 | 2022 |
| ページ数 | 374 pp. |
| 言語 | ENG |
| ニュース番号 | <A02-78175> |
解説
This second edition provides new and updated chapters from expert researchers in the field detailing methods used to study the multi-facet deep sequencing data field. Chapters guide readers through techniques for processing RNA-seq data, microbiome analysis, deep learning methodologies, and various approaches for the identification of sequence variants. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls.
Authoritative and cutting-edge, Deep Sequencing Data Analysis: Methods and Protocols, Second Edition aims to ensure successful results in the further study of this vital field.