《DNA晶片和基因表達》是2003年10月科學出版社出版的圖書，作者是P.鮑爾迪、G.W.哈特菲爾德。
基本介紹
- 中文名：DNA晶片和基因表達
- 作者：P.鮑爾迪、G.W.哈特菲爾德
- 出版社：科學出版社
- 出版時間：2003年10月1日
- ISBN：9787030122483
內容簡介,圖書目錄,
內容簡介
《DNA晶片和基因表達：從實驗到數據分析與模建（影印版）》在生物學和醫藥前沿領域中，基因組測序、高通量藥物篩選、DNA晶片（微陣）等技術套用越來越廣泛。使用給定細胞中的mRNA，在給定的時間及條件下，DNA晶片能夠快速檢測出該細胞中的基因表達水平，可以研究基礎的生物學現象（如進化、發育）、判斷新基因的功能、檢測藥物反應及其他基因表達組成等。《DNA晶片和基因表達：從實驗到數據分析與模建（影印版）》是涉及多學科領域的DNA晶片導論，對於生物學工作者及有志於使用這一技術的計算機科學研究人員是必備的參考讀物。內容包括基因組學簡介、DNA晶片格式及閱讀方法、基因表達實驗、晶片數據統計分析、當前DNA晶片套用等，行文嚴謹，內容全面，具有較高的參考價值。
圖書目錄
Preface
1 A brief history of gnomics
2 DNA array formats
In situ synthesized oligonucleotide arrays
Pre-synthesized DNA arrays
Filter-based DNA arrays
Non-conventional gene expression profiling technologies
3 DNA array teadout methods
Reading data from a fluorescent signal
Reading data from a radioactive signal
4 Gene expression profiling experiments:problems,pitfalls,and solutions
Primary sources of experimental and biological varization
Special considerations for gene expression profiling in bacteria
Problems associated with target preparation with polyadenylated mRNA from eukaryotic cells
A total RNA solution for targert preparation from eukaryotic cells
Target cDNA solution for target preparation from eukaryotic cells
Data acquisition for nylon filter experiments
Data acquisition for Affymetrix GeneChipTM glass slide experiments
Normalization methods
5 Statistical analysis of array data:Ingerring changes
Problems and common approaches
Probablilistic modeling of array data
Simulations
Extensions
6 Statistical analysis of array data:Dimensionality reduction,clustering,and regulatory regions
Problems and approaches
Visualization,dimensionality reduction,and principal component analysis
Clustering overview
Hierarchical clustering
K-means,mixture models,and EM algorithms
DNA arrays and regulatory regions
7 The design,analysis,and interpretation of gene expression profiling experiments
Experimental design
Identification of differentially expressed genes
Determination of the source of errors in DNA array experiments
Estimation of the global false positive level for a DNA array experiment
Improved statistical inference from DNA array data using a Bayseian statistical framework
Nylon filter data vs.Affymetrix GeneChipTM data
Modeling probe pair set data from Affymetrix GeneChipsTM
Application of clustering and visualization methods
Identification of defferential gene expression patterns resulting form two-variable perturbation experiments
8 Systems biology
Introduction
The molecular worle:Representation and Simulation
Computational models of regulatory networks
Software and databases
The search for general principles
Appendix A Experimental protocols
Appendix B Mathematical complements
Appendix C Internet resoutces
Appendix D CyberT:An online program for the statistical analysis of DNA array data
Index
