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生物信息计算基础


作者:
Wang Ziling Zhang Lishu
定价:
89.00元
版面字数:
480.000千字
开本:
16开
装帧形式:
精装
版次:
1
最新版次
印刷时间:
2018-01-02
ISBN:
978-7-04-049018-3
物料号:
49018-00
出版时间:
2018-04-24
读者对象:
学术著作
一级分类:
自然科学
二级分类:
生物
三级分类:
生物信息学

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  • 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

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