Computational Methods in Genome Research (eBook, PDF)

Redaktion: Suhai, Sándor

• Format: PDF

Produktbeschreibung

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 ·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.

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Produktdetails

• Verlag: Springer New York
• Seitenzahl: 227
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781461524519
• Artikelnr.: 44063494

Inhaltsangabe

Can Computational Science Keep up with Evolving Technology for Genome Mapping and Sequencing?.- Informatics and Experiments for the Human Genome Project.- Data Management Tools for Scientific Applications: Framework, Status, and Genomic Applications.- The ACEDB Genome Database.- The Integrated Genomic Database (IGD).- Genetic Mapping, an Overview.- Representing Genomic Maps in a Relational Database.- Livermore's Pragmatic Approach to Integrated Mapping for Chromosome 19.- Searching Protein Sequence Databases - Is Optimal Best?.- Algorithmic Advances for Searching Biosequence Databases.- Pattern Recognition in Genomic and Protein Sequences: A Survey of Statistical Validation Problems.- New Algorithms for the Computation of Evolutionary Phylogenetic Trees.- Modelling Protein Structure from Remote Sequence Similarity: An Approach to Tertiary Structure Prediction.- Genetic Algorithms in Protein Structure Prediction.- Applications of Artificial Neural Networks in Genome Research.- Statistical Models of Chromosome Evolution.- Deciphering the Genetic Message: Some Thoughts on Present Limits.- Contributors.