| 書目名稱 | Mathematical Principles in Bioinformatics | | 編輯 | Stephen S.-T. Yau,Xin Zhao,Hongyu Yu | | 視頻video | http://file.papertrans.cn/627/626517/626517.mp4 | | 概述 | Focuses on alignment-free methods in sequence comparison, which are neglected in many books on bioinformatics.Introduces the method to form a practical genome/protein space and proposes the convex hul | | 叢書名稱 | Interdisciplinary Applied Mathematics | | 圖書封面 |  | | 描述 | .This textbook introduces bioinformatics to students in mathematics with no biology background assumed and it provides solid mathematical tools for biology students along with an understanding of how to implement them in bioinformatics problems. In addition to the basics, the text offers new approaches to understanding biological sequences. The concise presentation distinguishes itself from others on the subject, discussing and providing principles that relate to current open problems in bioinformatics as well as considering a variety of models. The convex hull principle is highlighted, opening a new interdisciplinary research area at the intersection of biology, mathematics, and computer science. Prerequisites include first courses in linear algebra, probability and statistics, and mathematical analysis. Researchers in mathematics, biology, and math-biology, will also find aspects of this text useful. . This textbook is written based on the authors‘ research works that have been published in various journals along with the lecture notes used when teaching bioinformatics courses at the University of Illinois at Chicago and at Tsinghua University. ?The content may be divided into tw | | 出版日期 | Textbook 2023 | | 關(guān)鍵詞 | bioinformatics; Alignment-free methods; Principles in biology; phylogenetic analysis; natural vector met | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-48295-3 | | isbn_softcover | 978-3-031-48297-7 | | isbn_ebook | 978-3-031-48295-3Series ISSN 0939-6047 Series E-ISSN 2196-9973 | | issn_series | 0939-6047 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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