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9780878932344

A Primer of Genome Sciences

by ;
  • ISBN13:

    9780878932344

  • ISBN10:

    0878932348

  • Format: Paperback
  • Copyright: 2002-01-01
  • Publisher: Sinauer Associates Inc
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List Price: $52.95

Summary

North Carolina State Univ., Raleigh. Introductory textbook for senior undergraduates or graduate students new to the field. Gives a background to the experimental methods, and and overview of what bioinformatics is about. Softcover.

Author Biography

Spencer Muse is Assistant Professor in the Department of Statistics, Bioinformatics Research Center at North Carolina State University.

Table of Contents

Preface xi
Genome Projects: Organization and Objectives
The Core Aims of Genome Science
1(3)
Mapping Genomes
4(9)
Genetic Maps
4(3)
Physical Maps
7(1)
Cytological Maps
8(2)
Comparative Genomics
10(3)
The Human Genome Project
13(13)
Objectives
13(3)
The Content of the Human Genome
16(2)
Ethical, Legal, and Social Implications of the Human Genome Project
18(3)
Internet resources
21(3)
Genbank Files
24(2)
Animal Genome Projects
26(11)
Mouse Genome Projects
26(4)
Other Vertebrate Biomedical Models
30(1)
Animal Breeding Projects
31(1)
Invertebrate Model Organisms
32(5)
Plant Genome Projects
37(9)
Arabidopsis thaliana
37(3)
Grasses and Legumes
40(2)
Managing and Distrubuting Genome Data
42(3)
Other Flowering Plants
45(1)
Genome Projects
46(11)
The Minimal Genome
46(5)
Bacteria and Archaea
51(2)
Yeast
53(2)
Parasite Genomics
55(2)
Summary Discussion Questions Literature Cited
57(6)
Genome Sequencing and Annotation
Automated DNA Sequencing
63(13)
The Principle of Sanger Sequencing
63(1)
High-Throughput Sequencing
64(2)
Reading Sequence Traces
66(3)
Contig Assembly
69(3)
Pairwise Sequence Alignment
72(4)
Emerging Sequencing Methods
76(2)
Genome Sequencing
78(13)
Hierarchical Sequencing
78(6)
Shotgun Sequencing
84(2)
Searching Sequence Databases Using Blast
86(4)
Sequence Verification
90(1)
Genome Annotation
91(14)
EST Sequencing
91(2)
Ab initio Gene Discovery
93(2)
Hidden Markov Models and Gene Finding
95(3)
Non-Protein Coding Genes
98(3)
Structural Features of Genome Sequences
101(4)
Functional Annotation and Gene Family Clusters
105(12)
Clustering of Genes by Sequence Similarity
106(3)
Clusters of Orthologous Genes
109(3)
Phylogenetic Classification of Genes
112(1)
Gene Ontology
112(2)
Phylogenetics
114(3)
Summary Discussion Questions Web Site Exercises Literature Cited
117(6)
Gene Expression and the Transcriptome
Parallel Analysis of Gene Expression: Microarrays
123(24)
cDNA Microarray Technology
123(7)
Microarray Image Processing
130(2)
Statistical Analysis of cDNA Microarray Data and Experimental Design
132(5)
Oligonucleotide Microarray Technology
137(4)
Microarray Data Mining
141(1)
Clustering Methods
142(4)
Motif Detection in Promoter Sequences of Gene Clusters
146(1)
SAGE, Microbeads, and Differential Display
147(9)
Serial Analysis of Gene Expression
147(5)
Microbead Technology
152(3)
Differential Display
155(1)
Single-Gene Analyses
156(4)
Northern Blots and RNAse Protection
156(2)
Quantitative PCR
158(2)
Properties of Transcriptomes
160(15)
Yeast
160(5)
Cancer
165(5)
Model Organisms
170(3)
Gene Expression Databases
173(2)
Summary Discussion Questions Web Site Exercises Literature Cited
175(8)
Proteomics and Functional Genomics
Functional Proteomics
183(21)
Protein Annotation
183(3)
Hidden Markov Models in Domain Profiling
186(2)
Protein Separation and 2D-Page
188(5)
Mass Spectrometry and Protein Identification
193(6)
Protein Microarrays
199(3)
Protein Interaction Maps
202(2)
Structural Proteomics
204(8)
Objectives of Structural Proteomics
204(3)
Protein Structure Determination
207(3)
Protein Structure Prediction and Threading
210(2)
Functional Genomics
212(22)
Saturation Forward Genetics
213(5)
High-Throughput Reverse Genetics
218(4)
Transgenic Animals and Plants
222(5)
Fine-Structure Genetics
227(6)
Genetic Fingerprinting
233(1)
Summary Discussion Questions Web Site Exercises Literature Cited
234(7)
SNPs and Variation
The Nature of Single Nucleotide Polymorphisms
241(11)
Classification
241(3)
Distribution of SNPs
244(4)
Disequilibrium between Alleles at Two Loci
248(4)
Applications of SNP Technology
252(19)
Population Genetics
252(4)
Recombination Mapping
256(2)
QTL Mapping
258(3)
Linkage Disequilibrium Mapping
261(5)
Case-Control Association Studies
266(5)
SNP Discovery
271(8)
Resequencing
271(1)
Family-Based Association Tests
272(5)
Sequence-Free Polymorphism Detection
277(2)
SNP Genotyping
279(13)
Low-Technology Methods
280(2)
Hybridization-Based Methods
282(2)
Minisequencing Methods
284(4)
Homogeneous Fluorogenic Dye-Based Methods
288(4)
Haplotype phasing methods
292(1)
Summary Discussion Questions Web Site Exercises Literature Cited
292(9)
Integrative Genomics
Metabolomics
301(7)
Analysis of Cellular Constituents
301(5)
Metabolic and Biochemical Databases
306(2)
In silico Genomics
308(9)
Metabolic Control Analysis
308(5)
Systems-Level Modeling of Gene Networks
313(4)
Summary Discussion Questions Literature Cited
317(4)
Glossary 321(12)
List of Abbreviations 333(2)
Index 335

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