书目名称 | Data Mining Techniques for the Life Sciences | 编辑 | Oliviero Carugo,Frank Eisenhaber | 视频video | | 概述 | Includes cutting-edge methods and protocols.Provides step-by-step detail essential for reproducible results.Contains key notes and implementation advice from the experts | 丛书名称 | Methods in Molecular Biology | 图书封面 |  | 描述 | .This third edition details new and updated methods and protocols on important databases and data mining tools. Chapters guides readers through archives of macromolecular sequences and three-dimensional structures, databases of protein-protein interactions, methods for prediction conformational disorder, mutant thermodynamic stability, aggregation, and drug response. Quality of structural data and their release, soft mechanics applications in biology, and protein flexibility are considered, too, together with pan-genome analyses, rational drug combination screening and Omics Deep Mining. Written in the format of the highly successful .Methods in Molecular Biology .series, each chapter includes an introduction to the topic, lists necessary materials, includes step-by-step, readily reproducible protocols... .Authoritative and cutting-edge, .Data Mining Techniques for the Life Sciences, Third Edition. aims to be a practical guide to researches to help furthertheir study in this field.. | 出版日期 | Book 2022Latest edition | 关键词 | Protein-protein complex databases; Genome databases; computational docking; Text mining; Machine learnin | 版次 | 3 | doi | https://doi.org/10.1007/978-1-0716-2095-3 | isbn_softcover | 978-1-0716-2097-7 | isbn_ebook | 978-1-0716-2095-3Series 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 |
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