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The practical bioinformatician / editor, Limsoon Wong.
- Format:
- Book
- Language:
- English
- Subjects (All):
- Computational biology.
- Bioinformatics.
- Physical Description:
- xxii, 517 p. : ill. (some col.), ports.
- Edition:
- 1st ed.
- Place of Publication:
- River Edge, N.J. ; London : World Scientific, c2004.
- Language Note:
- English
- Summary:
- Computer scientists have increasingly been enlisted as "bioinformaticians" to assist molecular biologists in their research. This book is a practical introduction to bioinformatics for these computer scientists. The chapters are in-depth discussions by expert bioinformaticians on both general techniques and specific approaches to a range of selected bioinformatics problems. The book is organized into clusters of chapters on the following topics: - Overview of modern molecular biology and a broad spectrum of techniques from computer science -- data mining, machine learning, mathematical modeling, sequence alignment, data integration, workflow development, etc. - In-depth discussion of computational recognition of functional and regulatory sites in DNA sequences. - Incisive discussion of computational prediction of secondary structure of RNA sequences. - Overview of computational prediction of protein cellular localization, and selected discussions of inference of protein function. - Overview of methods for discovering protein-protein interactions. - Detailed discussion of approaches to gene expression analysis for the diagnosis of diseases, the treatment of diseases, and the understanding of gene functions. - Case studies on analysis of phylogenies, functional annotation of proteins, construction of purpose-built integrated biological databases, and development of workflows underlying the large-scale-effort gene discovery.
- Contents:
- Chapter 1. Molecular Biology for the Practical Bioinformatician
- Chapter 2. Strategy and Planning of Bioinformatics Experiments
- Chapter 3. DataMining Techniques for the Practical Bioinformatician
- Chapter 4. Techniques for Recognition of Translation Initiation Sites
- Chapter 5. How Neural Networks Find Promoters Using Recognition of Micro-Structural Promoter Components
- Chapter 6. Neural-StatisticalModel of TATA-Box Motifs in Eukaryotes
- Chapter 7. Tuning the Dragon Promoter Finder System for Human Promoter Recognition
- Chapter 8. RNA Secondary Structure Prediction
- Chapter 9. Protein Localization Prediction
- Chapter 10. Homology Search Methods
- Chapter 11. Analysis of Phylogeny: A Case Study on Saururaceae
- Chapter 12. Functional Annotation and Protein Families: From Theory to Practice
- Chapter 13. Discovering Protein-Protein Interactions
- Chapter 14. Techniques for Analysis of Gene Expression
- Chapter 15. Genome-Wide cDNA Oligo Probe Design and its Applications in Schizosaccharomyces Pombe
- Chapter 16. Mining New Motifs from cDNA Sequence Data
- Chapter 17. Technologies for Biological Data Integration
- Chapter 18. Construction of Biological Databases: A Case Study on the Protein Phosphatase DataBase (PPDB)
- Chapter 19. A Family Classification Approach to Functional Annotation of Proteins
- Chapter 20. Informatics for Efficient EST-Based Gene Discovery in Normalized and Subtracted cDNA Libraries.
- Notes:
- Bibliographic Level Mode of Issuance: Monograph
- Includes bibliographical references (p. 457-509).
- ISBN:
- 9786611872311
- 9781281872319
- 1281872318
- 9789812562340
- 9812562346
- OCLC:
- 815742847
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