Theoretical and Computational Methods in Genome Research (eBook, PDF)

Redaktion: Suhai, Sándor

• Format: PDF

Produktbeschreibung

The application ofcomputational methods to solve scientific and practical problems in genome research created a new interdisciplinary area that transcends boundaries tradi tionally separating genetics, biology, mathematics, physics, and computer science. Com puters have, of course, been intensively used in the field of life sciences for many years, even before genome research started, to store and analyze DNA or protein sequences; to explore and model the three-dimensional structure, the dynamics, and the function of biopolymers; to compute genetic linkage or evolutionary processes; and more. The rapid development of new molecular and genetic technologies, combined with ambitious goals to explore the structure and function ofgenomes ofhigher organisms, has generated, how ever, not only a huge and exponentially increasing body of data but also a new class of scientific questions. The nature and complexity of these questions will also require, be yond establishing a new kind ofalliance between experimental and theoretical disciplines, the development of new generations both in computer software and hardware technolo gies. New theoretical procedures, combined with powerful computational facilities, will substantially extend the horizon of problems that genome research can attack with suc cess. Many of us still feel that computational models rationalizing experimental findings in genome research fulfill their promises more slowly than desired. There is also an uncer tainty concerning the real position of a "theoretical genome research" in the network of established disciplines integrating their efforts in this field.

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Produktdetails

• Verlag: Springer New York
• Seitenzahl: 330
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781461559030
• Artikelnr.: 44180305

Inhaltsangabe

1. Evaluating the Statistical Significance of Multiple Distinct Local Alignments.- 2. Hidden Markov Models for Human Genes: Periodic Patterns in Exon Sequences.- 3. Identification of Muscle-Specific Transcriptional Regulatory Regions.- 4. A Systematic Analysis of Gene Functions by the Metabolic Pathway Database.- 5. Polymer Dynamics of DNA, Chromatin, and Chromosomes.- 6. Is Whole Human Genome Sequencing Feasible?.- 7. Sequence Patterns Diagnostic of Structure and Function.- 8. Recognizing Functional Domains in Biological Sequences.- 9. The Integrated Genomic Database (IGD)S: Enhancing the Productivity of Gene Mapping Projects.- 10. Error Analysis of Genetic Linkage Data.- 11. Managing Accelerating Data Growth in the Genome Database.- 12. Advances in Statistical Methods for Linkage Analysis.- 13. Exploring Heterogeneous Molecular Biology Databases in the Context of the Object-Protocol Model.- 14. Comprehensive Genome Information Systems.- 15. Visualizing the Genome.- 16. Data Management for Ligand-Based Drug Design.- 17. Picturing the Working Protein.- 18. HIV-1 Protease and Its Inhibitors.- 19. Density Functional and Neural Network Analysis: Hydration Effects and Spectrosopic and Structural Correlations in Small Peptides and Amino Acids.- 20. Computer Simulations of Protein-DNA Interactions.- 21. The Role of Neutral Mutations in the Evolution of RNA Molecules.- 22. How Three-Fingered Snake Toxins Recognise Their Targets: Acetylcholinesterase-Fasciculin Complex, a Case Study.- 23. Protein Sequence and Structure Comparison Using Iterative Double Dynamic Programming.