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生信经典教材推荐。 本书在结构上大致可以分为四个部分，每个部分所覆盖的问题分别是：二序列联配、多序列联配、系统发育树和RNA结构。具体分为：二序列联配、Markov链与隐马模型、使用HMM的二序列联配、用于序列家族的列型HMM、多序列联配方法、构造系统发育树和系统发育的概率论方法。本书介绍的列型чMM、多序列联配方法、构造系统发育树和系统发育的概率论方法。本书介绍的一些方法将不同的生物信息来源整合到一般的、清晰且可操作的序列分析概率论模型中，有助于研究者深入了解生物序列分析的基础。 本书可供生物信息学、分子生物学、数学、计算机科学以及物理学专业的研究生或高年级本科生及这些领域的老师和研究人员参考。

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生物信息学的圣经，作为教程值得一度 Suitable for advanced undergraduates and postgraduates, Understanding Bioinformatics provides a definitive guide to this vibrant and evolving discipline. The book takes a conceptual approach. It guides the reader from first principles through to an understanding of the computational techniques and the key algorithms. Understanding Bioinformatics is an invaluable companion for students from their first encounter with the subject through to more advanced studies. The book is divided into seven parts, with the opening part introducing the basics of nucleic acids, proteins and databases. Subsequent parts are divided into 'Applications' and 'Theory' Chapters, allowing readers to focus their attention effectively. In each section, the Applications Chapter provides a fast and straightforward route to understanding the main concepts and 'getting started'. Each of these is then followed by Theory Chapters which give greater detail and present the underlying mathematics. In Part 2, Sequence Alignments, the Applications Chapter shows the reader how to get started on producing and analyzing sequence alignments, and using sequences for database searching, while the next two chapters look closely at the more advanced techniques and the mathematical algorithms involved. Part 3 covers evolutionary processes and shows how bioinformatics can be used to help build phylogenetic trees. Part 4 looks at the characteristics of whole genomes. In Parts 5 and 6 the focus turns to secondary and tertiary structure – predicting structural conformation and analysing structure-function relationships. The last part surveys methods of analyzing data from a set of genes or proteins of an organism and is rounded off with an overview of systems biology. The writing style of Understanding Bioinformatics is notable for its clarity, while the extensive, full-color artwork has been designed to present the key concepts with simplicity and consistency. Each chapter uses mind-maps and fl