<p>The application of computational methods to solve scientific and pratical problems in genome research created a new interdisciplinary area that transcends boundaries traditionally separating genetics, biology, mathematics, physics, and computer science. Computers have been, of course, intensively
Theoretical and Computational Methods in Genome Research
β Scribed by Stephen F. Altschul (auth.), SΓ‘ndor Suhai (eds.)
- Publisher
- Springer US
- Year
- 1997
- Tongue
- English
- Leaves
- 331
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
The application ofcomputational methods to solve scientific and practical problems in genome research created a new interdisciplinary area that transcends boundaries tradiΒ tionally separating genetics, biology, mathematics, physics, and computer science. ComΒ 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, howΒ 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, beΒ yond establishing a new kind ofalliance between experimental and theoretical disciplines, the development of new generations both in computer software and hardware technoloΒ gies. New theoretical procedures, combined with powerful computational facilities, will substantially extend the horizon of problems that genome research can attack with sucΒ 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 uncerΒ tainty concerning the real position of a "theoretical genome research" in the network of established disciplines integrating their efforts in this field.
β¦ Table of Contents
Front Matter....Pages i-ix
Evaluating the Statistical Significance of Multiple Distinct Local Alignments....Pages 1-14
Hidden Markov Models for Human Genes....Pages 15-32
Identification of Muscle-Specific Transcriptional Regulatory Regions....Pages 33-39
A Systematic Analysis of Gene Functions by the Metabolic Pathway Database....Pages 41-55
Polymer Dynamics of DNA, Chromatin, and Chromosomes....Pages 57-72
Is Whole Human Genome Sequencing Feasible?....Pages 73-89
Sequence Patterns Diagnostic of Structure and Function....Pages 91-104
Recognizing Functional Domains in Biological Sequences....Pages 105-116
The Integrated Genomic Database (IGD)s....Pages 117-134
Error Analysis of Genetic Linkage Data....Pages 135-143
Managing Accelerating Data Growth in the Genome Database....Pages 145-151
Advances in Statistical Methods for Linkage Analysis....Pages 153-160
Exploring Heterogeneous Molecular Biology Databases in the Context of the Object-Protocol Model....Pages 161-176
Comprehensive Genome Information Systems....Pages 177-184
Visualizing the Genome....Pages 185-204
Data Management for Ligand-Based Drug Design....Pages 205-230
Picturing the Working Protein....Pages 231-236
HIV-1 Protease and its Inhibitors....Pages 237-254
Density Functional and Neural Network Analysis....Pages 255-277
Computer Simulations of Protein-DNA Interactions....Pages 279-286
The Role of Neutral Mutations in the Evolution of RNA Molecules....Pages 287-302
How Three-Fingered Snake Toxins Recognise Their Targets....Pages 303-315
Protein Sequence and Structure Comparison Using Iterative Double Dynamic Programming....Pages 317-328
Back Matter....Pages 329-330
β¦ Subjects
Animal Anatomy / Morphology / Histology
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