株式会社極東書店トップ > 商品一覧 > Proteomics Data Analysis. 2021 ed.
商品詳細
Proteomics Data Analysis. 2021 ed.
・ISBN 978-1-0716-1640-6 hard EUR 179.99
¥48,110.- (税込) ※(※)価格はご注文時の参考価格となります。
納品価格につきましては書籍の入荷時点で確定となります。
版元の原価改定、外国為替の変動等により異なる場合がございますので、予めご了承下さい。
お気に入り
★★★
| 著者・編者 | Cecconi, Daniela (ed.), |
|---|---|
| シリーズ | (Methods in Molecular Biology 2361) |
| 出版社 | (Springer-Verlag New York Inc., US) |
| 出版年月 | 2021 |
| ページ数 | 326 pp. |
| 言語 | ENG |
| ニュース番号 | <A02-76836> |
解説
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 International License via link.springer.com.
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 International License via link.springer.com.