| 书目名称 | RNA Structure Prediction |
| 编辑 | Risa Karakida Kawaguchi,Junichi Iwakiri |
| 视频video | |
| 概述 | Includes cutting-edge techniques.Provides step-by-step detail essential for reproducible results.Contains key implementation advice from the experts |
| 丛书名称 | Methods in Molecular Biology |
| 图书封面 |  |
| 描述 | This book explores recent progress in RNA secondary, tertiary structure prediction, and its application from an expansive point of view. Because of advancements in experimental protocols and devices, the integration of new types of data as well as new analysis techniques is necessary, and this volume discusses additional topics that are closely related to RNA structure prediction, such as the detection of structure-disrupting mutations, high-throughput structure analysis, and 3D structure design. Written for the highly successful .Methods in Molecular Biology. series, chapters feature the kind of detailed implementation advice that leads to quality research results. .Authoritative and practical, .RNA Structure Prediction. serves as a valuable guide for both experimental and computational RNA researchers.. |
| 出版日期 | Book 2023 |
| 关键词 | RNA secondary structure; In silico structure prediction; 3D structure analyses; Machine learning; RNA 3D |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-0716-2768-6 |
| isbn_softcover | 978-1-0716-2770-9 |
| isbn_ebook | 978-1-0716-2768-6Series ISSN 1064-3745 Series E-ISSN 1940-6029 |
| issn_series | 1064-3745 |
| copyright | Springer Science+Business Media, LLC, part of Springer Nature 2023 |
发表于 2025-3-21 18:52:38
