- 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