| 書目名稱 | Introduction to Computational Biology | | 副標題 | An Evolutionary Appr | | 編輯 | Bernhard Haubold,Thomas Wiehe | | 視頻video | http://file.papertrans.cn/474/473545/473545.mp4 | | 概述 | Based on the lectures by Prof. Wiehe, University of Cologne, Germany, and Prof. Haubold, University of Applied Sciences Weihenstephan, Freising, Germany.Contains exercises, questions and answers to se | | 圖書封面 |  | | 描述 | .Analysis of molecular sequence data is the main subject of this introduction to computational biology. There are two closely connected aspects to biological sequences: (i) their relative position in the space of all other sequences, and (ii) their movement through this sequence space in evolutionary time. Accordingly, the first part of the book deals with classical methods of sequence analysis: pairwise alignment, exact string matching, multiple alignment, and hidden Markov models. In the second part evolutionary time takes center stage and phylogenetic reconstruction, the analysis of sequence variation, and the dynamics of genes in populations are explained in detail. In addition, the book contains a computer program with a graphical user interface that allows the reader to experiment with a number of key concepts developed by the authors..This textbook is intended for students enrolled in courses in computational biology or bioinformatics as well as for molecular biologists, mathematicians, and computer scientists.. | | 出版日期 | Textbook 2006 | | 關(guān)鍵詞 | Alignment; Analysis; SNP; Single Nucleotide Polymorphism; bioinformatics; computer; database; evolution; gen | | 版次 | 1 | | doi | https://doi.org/10.1007/3-7643-7387-3 | | isbn_ebook | 978-3-7643-7387-0 | | copyright | Birkh?user Basel 2006 |
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