Theoretical and Computational Methods in Genome Research -

Theoretical and Computational Methods in Genome Research

Sándor Suhai (Herausgeber)

Buch | Softcover
330 Seiten
2012 | Softcover reprint of the original 1st ed. 1997
Springer-Verlag New York Inc.
978-1-4613-7708-5 (ISBN)
53,49 inkl. MwSt
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.

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.

Zusatzinfo IX, 330 p.
Verlagsort New York, NY
Sprache englisch
Maße 178 x 254 mm
Themenwelt Studium 2. Studienabschnitt (Klinik) Humangenetik
Naturwissenschaften Biologie Biochemie
Naturwissenschaften Biologie Zoologie
ISBN-10 1-4613-7708-0 / 1461377080
ISBN-13 978-1-4613-7708-5 / 9781461377085
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Eine sehr persönliche Geschichte | Der New York Times-Bestseller

von Siddhartha Mukherjee

Buch | Softcover (2023)
Ullstein Taschenbuch Verlag
21,99
Die revolutionäre Medizin von morgen (Lifespan)

von David A. Sinclair; Matthew D. LaPlante

Buch | Softcover (2020)
DuMont Buchverlag
16,00