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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

生物信息学的机器学习方法对基因测序等有深入探讨，设计统计推断，统计学习等内容

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可以查找基因序列以及做一些有关基因的东西,该软件主要用于生物信息相关分析。主要功能包括序列批量提取、转存、转录组富集分... TBtools-生物信息分析 是一种很实用的工具

第1章 生物信息学概述 .pdf 第2章 核酸蛋白质序列数据库资源.pdf 第3章 序列比较与相似序列搜索.pdf 第4章基因组结构注释.pdf 第5章 蛋白质序列分析.pdf 第6章 蛋白质结构及其分析预测 .pdf 第7章 DNA 微阵列基因表达数据分析 .pdf 第8章 蛋白质组数据分析 .pdf 第9章 蛋白质相互作用 .pdf 第10章 分子系统发育分析 .pdf 第11章 人类遗传疾病基因 .pdf 第12章 药物靶点发现与药物设计.pdf

生物信息学(Bioinformatics)是研究生物信息的采集、处理、存储、传播，分析和解释等各方面的学科，也是随着生命科学和计算机科学的迅猛发展，生命科学和计算机科学相结合形成的一门新学科。它通过综合利用生物学，计算机科学和信息技术而揭示大量而复杂的生物数据所赋有的生物学奥秘。

Bioinformatics生物信息学：序列和基因组分析.pdf 英文版

生物信息学:序列和基因组分析(Bioinformatics:Sequence and Genome 英文版

生物信息学、生物信息学概论、生物信息学算法导论 三本pdf