生物信息計算是在生命科學的研究中，以計算機
為工具對生物信息進行儲存、檢索和分析的科學，是
當今生命科學和自然科學的重大前沿領域之一。王字
玲、張麗姝主編的《生物信息計算(英文版)(精)》重
點集中在基因組學和蛋白質組學兩方面，分12章介紹
：序列數據資源及其檢索、蛋白質序列數據庫、序列
比對與比對搜索、真核生物基因結構的預測分析、分
子進化分析、蛋白質結構數據庫和結構可視化、蛋白
質結構與功能預測、微陣列數據分析、繫統生物學網
絡結構分析等內容，並對Getle Ontology數據庫、
KEGG數據庫及基因功能注釋、R語言及Biocondnctor
進行了簡述和應用示例。
本書是計算機科學、生物信息學以及統計學的知
識綜合，可供相關領域的專業人員參考使用，也可用
於生物學、計算機科學專業的教學。

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