生物信息计算（英文版） / 中国图书对外推广计划
定价：￥89.00
作者： Wang Ziling，Zhang Lishu
出版社：高等教育出版社
- 高等教育出版社
- 9787040490183
- 1版
- 47267163-5
- 16开
- 480
- 工学
- 计算机类
- 计算机类
- 研究生及以上
目录
目录
前辅文
PART I DATABASES AND BIOINFORMATICS TOOLS
Chapter 1 Online Sequence Database
1.1 Nucleic Acid Sequence Database
1.2 Protein Database
1.3 Protein Three-Dimensional Structure Database PDB
1.4 Genome Browser
References
Chapter 2 Sequence Alignment
2.1 Pairwise Sequence Alignment
2.2 Multiple Sequence Alignment
2.3 Basic Local Alignment Search Tool
References
Chapter 3 Molecular Phylogeny and Evolution
3.1 Introduction to Molecular Evolution
3.2 Models of DNA and Amino Acid Substitution
3.3 Tree-Building Method
3.4 Evaluating Tree
3.5 Perspectives
References
Chapter 4 Predicting DNA and Protein Function from Sequence
4.1 DNA Sequence Analysis
4.2 Protein Sequence Analysis
References
Chapter 5 Protein Structure
5.1 Overview of Protein Structure
5.2 Principles of Protein Structure
5.3 Protein Structure Prediction
5.4 Protein Structure Determining and Analysis
References
PART II BIOINFORMATICS FOR OMICS DATA
Chapter 6 Human Genetic Variation and Human Disease
6.1 Human Genetic Variation
6.2 Human Disease
References
Chapter 7 Gene Expression Profiling with Microarray: Online Resources and Data Management
7.1 Microarray Data Analysis Software
7.2 Microarray Databases
7.3 Microarray Data Analysis
References
Chapter 8 Bioinformatics for Qualitative and Quantitative Proteomics
8.1 Protein Identification and Quantification from MS Raw Data
8.2 Proteomics Data Analysis
8.3 Proteomics Data Storage, Exchange and Sharing
References
Chapter 9 Bioinformatics for Metabolomics
9.1 Metabonomics and Metabolomics
9.2 Basic Approaches to Study Metabonomics
9.3 Data Analysis Methods
9.4 Metabonomics Databases
9.5 Summary
References
Chapter 10 Gene Ontology Database and KEGG Database
10.1 Gene Ontology Database
10.2 KEGG Database
References
PART III STATISTICS AND PROGRAMMING
Chapter 11 Basic Algorithms for Bioinformatics
11.1 Algorithms
11.2 Graph Theory
11.3 Dynamic Programming
11.4 Bayesian Statistics
11.5 Markov Models
11.6 Hidden Markov Model
11.7 Neural Networks
11.8 Clustering Analysis
11.9 Other Algorithms
11.10 Concluding Remarks
References
Chapter 12 An Introduction to R
12.1 What’s R
12.2 How to Install R
12.3 RGui
12.4 How to Install R Extention Packages
12.5 Expressions and Assignments
12.6 Data Structure
12.7 Importing Data Into R
12.8 Exporting Data
12.9 Loops/Statements
12.10 Bioconductor
12.11 Further Resources
References
Index
前辅文
PART I DATABASES AND BIOINFORMATICS TOOLS
Chapter 1 Online Sequence Database
1.1 Nucleic Acid Sequence Database
1.2 Protein Database
1.3 Protein Three-Dimensional Structure Database PDB
1.4 Genome Browser
References
Chapter 2 Sequence Alignment
2.1 Pairwise Sequence Alignment
2.2 Multiple Sequence Alignment
2.3 Basic Local Alignment Search Tool
References
Chapter 3 Molecular Phylogeny and Evolution
3.1 Introduction to Molecular Evolution
3.2 Models of DNA and Amino Acid Substitution
3.3 Tree-Building Method
3.4 Evaluating Tree
3.5 Perspectives
References
Chapter 4 Predicting DNA and Protein Function from Sequence
4.1 DNA Sequence Analysis
4.2 Protein Sequence Analysis
References
Chapter 5 Protein Structure
5.1 Overview of Protein Structure
5.2 Principles of Protein Structure
5.3 Protein Structure Prediction
5.4 Protein Structure Determining and Analysis
References
PART II BIOINFORMATICS FOR OMICS DATA
Chapter 6 Human Genetic Variation and Human Disease
6.1 Human Genetic Variation
6.2 Human Disease
References
Chapter 7 Gene Expression Profiling with Microarray: Online Resources and Data Management
7.1 Microarray Data Analysis Software
7.2 Microarray Databases
7.3 Microarray Data Analysis
References
Chapter 8 Bioinformatics for Qualitative and Quantitative Proteomics
8.1 Protein Identification and Quantification from MS Raw Data
8.2 Proteomics Data Analysis
8.3 Proteomics Data Storage, Exchange and Sharing
References
Chapter 9 Bioinformatics for Metabolomics
9.1 Metabonomics and Metabolomics
9.2 Basic Approaches to Study Metabonomics
9.3 Data Analysis Methods
9.4 Metabonomics Databases
9.5 Summary
References
Chapter 10 Gene Ontology Database and KEGG Database
10.1 Gene Ontology Database
10.2 KEGG Database
References
PART III STATISTICS AND PROGRAMMING
Chapter 11 Basic Algorithms for Bioinformatics
11.1 Algorithms
11.2 Graph Theory
11.3 Dynamic Programming
11.4 Bayesian Statistics
11.5 Markov Models
11.6 Hidden Markov Model
11.7 Neural Networks
11.8 Clustering Analysis
11.9 Other Algorithms
11.10 Concluding Remarks
References
Chapter 12 An Introduction to R
12.1 What’s R
12.2 How to Install R
12.3 RGui
12.4 How to Install R Extention Packages
12.5 Expressions and Assignments
12.6 Data Structure
12.7 Importing Data Into R
12.8 Exporting Data
12.9 Loops/Statements
12.10 Bioconductor
12.11 Further Resources
References
Index
前辅文
PART I DATABASES AND BIOINFORMATICS TOOLS
Chapter 1 Online Sequence Database
1.1 Nucleic Acid Sequence Database
1.2 Protein Database
1.3 Protein Three-Dimensional Structure Database PDB
1.4 Genome Browser
References
Chapter 2 Sequence Alignment
2.1 Pairwise Sequence Alignment
2.2 Multiple Sequence Alignment
2.3 Basic Local Alignment Search Tool
References
Chapter 3 Molecular Phylogeny and Evolution
3.1 Introduction to Molecular Evolution
3.2 Models of DNA and Amino Acid Substitution
3.3 Tree-Building Method
3.4 Evaluating Tree
3.5 Perspectives
References
Chapter 4 Predicting DNA and Protein Function from Sequence
4.1 DNA Sequence Analysis
4.2 Protein Sequence Analysis
References
Chapter 5 Protein Structure
5.1 Overview of Protein Structure
5.2 Principles of Protein Structure
5.3 Protein Structure Prediction
5.4 Protein Structure Determining and Analysis
References
PART II BIOINFORMATICS FOR OMICS DATA
Chapter 6 Human Genetic Variation and Human Disease
6.1 Human Genetic Variation
6.2 Human Disease
References
Chapter 7 Gene Expression Profiling with Microarray: Online Resources and Data Management
7.1 Microarray Data Analysis Software
7.2 Microarray Databases
7.3 Microarray Data Analysis
References
Chapter 8 Bioinformatics for Qualitative and Quantitative Proteomics
8.1 Protein Identification and Quantification from MS Raw Data
8.2 Proteomics Data Analysis
8.3 Proteomics Data Storage, Exchange and Sharing
References
Chapter 9 Bioinformatics for Metabolomics
9.1 Metabonomics and Metabolomics
9.2 Basic Approaches to Study Metabonomics
9.3 Data Analysis Methods
9.4 Metabonomics Databases
9.5 Summary
References
Chapter 10 Gene Ontology Database and KEGG Database
10.1 Gene Ontology Database
10.2 KEGG Database
References
PART III STATISTICS AND PROGRAMMING
Chapter 11 Basic Algorithms for Bioinformatics
11.1 Algorithms
11.2 Graph Theory
11.3 Dynamic Programming
11.4 Bayesian Statistics
11.5 Markov Models
11.6 Hidden Markov Model
11.7 Neural Networks
11.8 Clustering Analysis
11.9 Other Algorithms
11.10 Concluding Remarks
References
Chapter 12 An Introduction to R
12.1 What’s R
12.2 How to Install R
12.3 RGui
12.4 How to Install R Extention Packages
12.5 Expressions and Assignments
12.6 Data Structure
12.7 Importing Data Into R
12.8 Exporting Data
12.9 Loops/Statements
12.10 Bioconductor
12.11 Further Resources
References
Index
前辅文
PART I DATABASES AND BIOINFORMATICS TOOLS
Chapter 1 Online Sequence Database
1.1 Nucleic Acid Sequence Database
1.2 Protein Database
1.3 Protein Three-Dimensional Structure Database PDB
1.4 Genome Browser
References
Chapter 2 Sequence Alignment
2.1 Pairwise Sequence Alignment
2.2 Multiple Sequence Alignment
2.3 Basic Local Alignment Search Tool
References
Chapter 3 Molecular Phylogeny and Evolution
3.1 Introduction to Molecular Evolution
3.2 Models of DNA and Amino Acid Substitution
3.3 Tree-Building Method
3.4 Evaluating Tree
3.5 Perspectives
References
Chapter 4 Predicting DNA and Protein Function from Sequence
4.1 DNA Sequence Analysis
4.2 Protein Sequence Analysis
References
Chapter 5 Protein Structure
5.1 Overview of Protein Structure
5.2 Principles of Protein Structure
5.3 Protein Structure Prediction
5.4 Protein Structure Determining and Analysis
References
PART II BIOINFORMATICS FOR OMICS DATA
Chapter 6 Human Genetic Variation and Human Disease
6.1 Human Genetic Variation
6.2 Human Disease
References
Chapter 7 Gene Expression Profiling with Microarray: Online Resources and Data Management
7.1 Microarray Data Analysis Software
7.2 Microarray Databases
7.3 Microarray Data Analysis
References
Chapter 8 Bioinformatics for Qualitative and Quantitative Proteomics
8.1 Protein Identification and Quantification from MS Raw Data
8.2 Proteomics Data Analysis
8.3 Proteomics Data Storage, Exchange and Sharing
References
Chapter 9 Bioinformatics for Metabolomics
9.1 Metabonomics and Metabolomics
9.2 Basic Approaches to Study Metabonomics
9.3 Data Analysis Methods
9.4 Metabonomics Databases
9.5 Summary
References
Chapter 10 Gene Ontology Database and KEGG Database
10.1 Gene Ontology Database
10.2 KEGG Database
References
PART III STATISTICS AND PROGRAMMING
Chapter 11 Basic Algorithms for Bioinformatics
11.1 Algorithms
11.2 Graph Theory
11.3 Dynamic Programming
11.4 Bayesian Statistics
11.5 Markov Models
11.6 Hidden Markov Model
11.7 Neural Networks
11.8 Clustering Analysis
11.9 Other Algorithms
11.10 Concluding Remarks
References
Chapter 12 An Introduction to R
12.1 What’s R
12.2 How to Install R
12.3 RGui
12.4 How to Install R Extention Packages
12.5 Expressions and Assignments
12.6 Data Structure
12.7 Importing Data Into R
12.8 Exporting Data
12.9 Loops/Statements
12.10 Bioconductor
12.11 Further Resources
References
Index
