出版社：科学出版社
年代：2011
定价：78.0
本书的特色之一就是没有对所有的生物信息学问题进行泛泛的介绍，而是选择了生物信息学中核心问题之一——序列分析作为本书的主要内容。由于缩小了范围，作者可以在有限的篇幅中更详尽的介绍序列分析的各种数学模型和算法。
Part I Sequence Analysis
1 Introduction: Biological Sequences
2 Sequence Alignment
2.1 Sequence Similarity
2.2 Dynamic Programming: Global Alignment
2.3 Dynamic Programming: Local Alignment
2.4 Alignment with Affine Gap Model
2.5 Heuristic Alignment Algorithms
2.5.1 FASTA
2.5.2 BLAST
2.6 Significance of Scores
2.7 Multiple Alignment
2.7.1 MSA
2.7.2 Progressive Alignment
Exercises
3 Markov Chains and Hidden Markov Models
3.1 Markov Chains
3.2 Hidden Markov Models
3.3 The Viterbi Algorithm
3.4 The Forward Algorithm
3.5 The Backward Algorithm and Posterior Decoding
3.6 Parameter Estimation for HMMs
3.6.1 Estimation when Paths are Known
3.6.2 Estimation when Paths are Unknown
3.7 HMMs with Silent States
3.8 Profile HMMs
3.9 Multiple Sequence Alignment by Profile HMMs
Exercises
X Contents
4 Protein Folding
4.1 Levels of Protein Structure
4.2 Prediction by Profile HMMs
4.3 Threading
4.4 MoleCular Modeling
4.5 Lattice HP-Model
Exercises
5 Phylogenetic Reconstruction
5.1 Phylogenetic Trees
5.2 Parsimony Methods
5.3 Distance Methods
5.4 Evolutionary Models
5.4.1 The Jukes-Cantor Model
5.4.2 The Kimura Model
5.4.3 The Felsenstein Model
5.4.4 The Hasegawa-Kishino-Yano (HKY) Model
5.5 Maximum Likelihood Method
5.6 Model Comparison
Exercises
Part II Mathematical Background for Sequence Analysis
6 Elements of Probability Theory
6.1 Sample Spaces and Events
6.2 Probability Measure
6.3 Conditional Probability
6.4 Random Variables
6.5 Integration of Random Variables
6.6 Monotone Functions on the Real Line
6.7 Distribution Functions
6.8 Common Types of Random Variables
6.8.1 The Discrete Type
6.8.2 The Continuous Type
6.9 Common Discrete and Continuous Distribution,,
6.9.1 The Discrete Case
6.9.2 The Continuous Case
6.10 Vector-Valued Random Variables
6.11 Sequences of Random Variables
Exercises
……
《生物信息学中的数学方法引论》的特色之一就是没有对所有的生物信息学问题进行泛泛的介绍，而是选择了生物信息学中核心问题之一--序列分析作为《生物信息学中的数学方法引论》的主要内容。由于缩小了范围，作者可以在有限的篇幅中更详尽的介绍序列分析的各种数学模型和算法。
This book looks at the mathematical foundations of the modelscurrently in use. This is crucial for the correct interpretation of theoutputs of the models. A bioinformatician should be able not onlyto use software packages， but also to know the mathematics behindthese packages. From this point of view， mathematics departmentsthroughout the world have a major role to play in bioinformaticseducation by teaching courses on the mathematical foundations ofthe subject. Based on the courses taught by the author the bookcombines several topics in biological sequence analysis withmathematical and statistical material required for such analysis.
| 书籍详细信息 | |||
| 书名 | 生物信息学中的数学方法引论 : 第2版站内查询相似图书 | ||
| 丛书名 | 国外数学名著系列 : 影印版 | ||
| 9787030313812 如需购买下载《生物信息学中的数学方法引论 : 第2版》pdf扫描版电子书或查询更多相关信息，请直接复制isbn,搜索即可全网搜索该ISBN | |||
| 出版地 | 北京 | 出版单位 | 科学出版社 |
| 版次 | 1版 | 印次 | 1 |
| 定价(元) | 78.0 | 语种 | 英文 |
| 尺寸 | 24 × 17 | 装帧 | 精装 |
| 页数 | 298 | 印数 | |
生物信息学中的数学方法引论 : 第2版是科学出版社于2011.6出版的中图分类号为 Q5 的主题关于 生物分析－序列－数据模型－生物信息论－研究 的书籍。