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Computational Methods in Genome Research

✍ Scribed by Charles R. Cantor (auth.), SÑndor Suhai (eds.)


Publisher
Springer US
Year
1994
Tongue
English
Leaves
229
Edition
1
Category
Library

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✦ Synopsis


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 used for many year~ in the field of life sciences, even before genome research started, to store and analyze DNA or proteins sequences, to explore and model the three-dimensional structure, the dynamics and the function of biopolymers, to compute genetic linkage or evolutionary processes etc. The rapid development of new molecular and genetic technologies, combined with ambitious goals to explore the structure and function of genomes of higher organisms, has generated, however, not only a huge and burgeoning body of data but also a new class of scientific questions. The nature and complexity of these questions will require, beyond establishing a new kind of alliance between experimental and theoretical disciplines, also the development of new generations both in computer software and hardware technologies, respectively. New theoretical procedures, combined with powerful computational facilities, will substantially extend the horizon of problems that genome research can Β·attack with success. Many of us still feel that computational models rationalizing experimental findings in genome research fulfil their promises more slowly than desired. There also is an uncertainity concerning the real position of a 'theoretical genome research' in the network of established disciplines integrating their efforts in this field.

✦ Table of Contents


Front Matter....Pages i-viii
Can Computational Science Keep up with Evolving Technology for Genome Mapping and Sequencing?....Pages 1-18
Informatics and Experiments for the Human Genome Project....Pages 19-24
Data Management Tools for Scientific Applications: Framework, Status, and Genomic Applications....Pages 25-44
The ACEDB Genome Database....Pages 45-55
The Integrated Genomic Database (IGD)....Pages 57-73
Genetic Mapping, an Overview....Pages 75-84
Representing Genomic Maps in a Relational Database....Pages 85-96
Livermore’s Pragmatic Approach to Integrated Mapping for Chromosome 19....Pages 97-110
Searching Protein Sequence Databases β€” Is Optimal Best?....Pages 111-120
Algorithmic Advances for Searching Biosequence Databases....Pages 121-135
Pattern Recognition in Genomic and Protein Sequences: A Survey of Statistical Validation Problems....Pages 137-152
New Algorithms for the Computation of Evolutionary Phylogenetic Trees....Pages 153-161
Modelling Protein Structure from Remote Sequence Similarity: An Approach to Tertiary Structure Prediction....Pages 163-171
Genetic Algorithms in Protein Structure Prediction....Pages 173-190
Applications of Artificial Neural Networks in Genome Research....Pages 191-208
Statistical Models of Chromosome Evolution....Pages 209-216
Deciphering the Genetic Message: Some Thoughts on Present Limits....Pages 217-218
Back Matter....Pages 219-227

✦ Subjects


Biochemistry, general; Biotechnology; Human Genetics; Zoology; Evolutionary Biology


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