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339 Pages
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All key areas of bioinformatics are covered including biological databases, sequence alignment, genes and promoter prediction, molecular phylogenetics, structural bioinformatics, genomics and proteomics. The book emphasizes how computational methods work and compares the strengths and weaknesses of different methods.
This balanced yet easily accessible text will be invaluable to students who do not have sophisticated computational backgrounds. Technical details of computational algorithms are explained with a minimum use of mathematical formulae; graphical illustrations are used in their place to aid understanding.
The effective synthesis of existing literature as well as in-depth and up-to-date coverage of all key topics in bioinformatics make this an ideal textbook for all bioinformatics courses taken by life science students and for researchers wishing to develop their knowledge of bioinformatics to facilitate their own research.
- Concise yet comprehensive and written specifically for life scientists and those without a sophisticated computational background
- Provides annotated guides to the most frequently used internet tools for each topic and discusses the advantages of different methods
- Includes 6 step-by-step protocols for internet-based exercises to aid student's problem-solving skills using freely available bioinformatics tools
- Glossary provides clear definitions and easy understanding of key bioinformatics concepts and tools.
Jin Xiong is Assistant Professor of Biology at Texas A & M University, where he has taught bioinformatics to graduate and undergraduate students for several years.
Industry Reviews
| Preface | p. ix |
| Introduction and Biological Databases | |
| Introduction | p. 3 |
| What Is Bioinformatics? | p. 4 |
| Goal | p. 5 |
| Scope | p. 5 |
| Applications | p. 6 |
| Limitations | p. 7 |
| New Themes | p. 8 |
| Further Reading | p. 8 |
| Introduction to Biological Databases | p. 10 |
| What Is a Database? | p. 10 |
| Types of Databases | p. 10 |
| Biological Databases | p. 13 |
| Pitfalls of Biological Databases | p. 17 |
| Information Retrieval from Biological Databases | p. 18 |
| Summary | p. 27 |
| Further Reading | p. 27 |
| Sequence Alignment | |
| Pairwise Sequence Alignment | p. 31 |
| Evolutionary Basis | p. 31 |
| Sequence Homology versus Sequence Similarity | p. 32 |
| Sequence Similarity versus Sequence Identity | p. 33 |
| Methods | p. 34 |
| Scoring Matrices | p. 41 |
| Statistical Significance of Sequence Alignment | p. 47 |
| Summary | p. 48 |
| Further Reading | p. 49 |
| Database Similarity Searching | p. 51 |
| Unique Requirements of Database Searching | p. 51 |
| Heuristic Database Searching | p. 52 |
| Basic Local Alignment Search Tool (BLAST) | p. 52 |
| FASTA | p. 57 |
| Comparison of FASTA and BLAST | p. 60 |
| Database Searching with the Smith-Waterman Method | p. 61 |
| Summary | p. 61 |
| Further Reading | p. 62 |
| Multiple Sequence Alignment | p. 63 |
| Scoring Function | p. 63 |
| Exhaustive Algorithms | p. 64 |
| Heuristic Algorithms | p. 65 |
| Practical Issues | p. 71 |
| Summary | p. 73 |
| Further Reading | p. 74 |
| Profiles and Hidden Markov Models | p. 75 |
| Position-Specific Scoring Matrices | p. 75 |
| Profiles | p. 77 |
| Markov Model and Hidden Markov Model | p. 79 |
| Summary | p. 84 |
| Further Reading | p. 84 |
| Protein Motifs and Domain Prediction | p. 85 |
| Identification of Motifs and Domains in Multiple Sequence Alignment | p. 86 |
| Motif and Domain Databases Using Regular Expressions | p. 86 |
| Motif and Domain Databases Using Statistical Models | p. 87 |
| Protein Family Databases | p. 90 |
| Motif Discovery in Unaligned Sequences | p. 91 |
| Sequence Logos | p. 92 |
| Summary | p. 93 |
| Further Reading | p. 94 |
| Gene and Promoter Prediction | |
| Gene Prediction | p. 97 |
| Categories of Gene Prediction Programs | p. 97 |
| Gene Prediction in Prokaryotes | p. 98 |
| Gene Prediction in Eukaryotes | p. 103 |
| Summary | p. 111 |
| Further Reading | p. 111 |
| Promoter and Regulatory Element Prediction | p. 113 |
| Promoter and Regulatory Elements in Prokaryotes | p. 113 |
| Promoter and Regulatory Elements in Eukaryotes | p. 114 |
| Prediction Algorithms | p. 115 |
| Summary | p. 123 |
| Further Reading | p. 124 |
| Molecular Phylogenetics | |
| Phylogenetics Basics | p. 127 |
| Molecular Evolution and Molecular Phylogenetics | p. 127 |
| Terminology | p. 128 |
| Gene Phylogeny versus Species Phylogeny | p. 130 |
| Forms of Tree Representation | p. 131 |
| Why Finding a True Tree Is Difficult | p. 132 |
| Procedure | p. 133 |
| Summary | p. 140 |
| Further Reading | p. 141 |
| Phylogenetic Tree Construction Methods and Programs | p. 142 |
| Distance-Based Methods | p. 142 |
| Character-Based Methods | p. 150 |
| Phylogenetic Tree Evaluation | p. 163 |
| Phylogenetic Programs | p. 167 |
| Summary | p. 168 |
| Further Reading | p. 169 |
| Structural Bioinformatics | |
| Protein Structure Basics | p. 173 |
| Amino Acids | p. 173 |
| Peptide Formation | p. 174 |
| Dihedral Angles | p. 175 |
| Hierarchy | p. 176 |
| Secondary Structures | p. 178 |
| Tertiary Structures | p. 180 |
| Determination of Protein Three-Dimensional Structure | p. 181 |
| Protein Structure Database | p. 182 |
| Summary | p. 185 |
| Further Reading | p. 186 |
| Protein Structure Visualization, Comparison, and Classification | p. 187 |
| Protein Structural Visualization | p. 187 |
| Protein Structure Comparison | p. 190 |
| Protein Structure Classification | p. 195 |
| Summary | p. 199 |
| Further Reading | p. 199 |
| Protein Secondary Structure Prediction | p. 200 |
| Secondary Structure Prediction for Globular Proteins | p. 201 |
| Secondary Structure Prediction for Transmembrane Proteins | p. 208 |
| Coiled Coil Prediction | p. 211 |
| Summary | p. 212 |
| Further Reading | p. 213 |
| Protein Tertiary Structure Prediction | p. 214 |
| Methods | p. 215 |
| Homology Modeling | p. 215 |
| Threading and Fold Recognition | p. 223 |
| Ab Initio Protein Structural Prediction | p. 227 |
| CASP | p. 228 |
| Summary | p. 229 |
| Further Reading | p. 230 |
| RNA Structure Prediction | p. 231 |
| Introduction | p. 231 |
| Types of RNA Structures | p. 233 |
| RNA Secondary Structure Prediction Methods | p. 234 |
| Ab Initio Approach | p. 234 |
| Comparative Approach | p. 237 |
| Performance Evaluation | p. 239 |
| Summary | p. 239 |
| Further Reading | p. 240 |
| Genomics and Proteomics | |
| Genome Mapping, Assembly, and Comparison | p. 243 |
| Genome Mapping | p. 243 |
| Genome Sequencing | p. 245 |
| Genome Sequence Assembly | p. 246 |
| Genome Annotation | p. 250 |
| Comparative Genomics | p. 255 |
| Summary | p. 259 |
| Further Reading | p. 259 |
| Functional Genomics | p. 261 |
| Sequence-Based Approaches | p. 261 |
| Microarray-Based Approaches | p. 267 |
| Comparison of SAGE and DNA Microarrays | p. 278 |
| Summary | p. 279 |
| Further Reading | p. 280 |
| Proteomics | p. 281 |
| Technology of Protein Expression Analysis | p. 281 |
| Posttranslational Modification | p. 287 |
| Protein Sorting | p. 289 |
| Protein-Protein Interactions | p. 291 |
| Summary | p. 296 |
| Further Reading | p. 296 |
| Appendix | |
| Practical Exercises | p. 301 |
| Glossary | p. 318 |
| Index | p. 331 |
| Table of Contents provided by Ingram. All Rights Reserved. |
ISBN: 9780521600828
ISBN-10: 0521600820
Published: 1st June 2008
Format: Paperback
Language: English
Number of Pages: 339
Audience: College, Tertiary and University
Publisher: Cambridge University Press
Country of Publication: GB
Dimensions (cm): 25.4 x 17.78 x 1.91
Weight (kg): 0.66
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