本書重點(diǎn)集中在基因組學(xué)和蛋白質(zhì)組學(xué)兩方面，分12章介紹：序列數(shù)據(jù)資源及其檢索、蛋白質(zhì)序列數(shù)據(jù)庫、序列比對與比對搜索等內(nèi)容，并對GeneOntology數(shù)據(jù)庫、KEGG數(shù)據(jù)庫及基因功能注釋、R語言及Bioconductor進(jìn)行了簡述和應(yīng)用示例。
ART 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
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