Discrete and Topological Models in Molecular Biology

Nonfiction, Science & Nature, Mathematics, Applied, Computers, Advanced Computing, Computer Science, General Computing
Cover of the book Discrete and Topological Models in Molecular Biology by , Springer Berlin Heidelberg
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9783642401930
Publisher: Springer Berlin Heidelberg Publication: December 23, 2013
Imprint: Springer Language: English
Author:
ISBN: 9783642401930
Publisher: Springer Berlin Heidelberg
Publication: December 23, 2013
Imprint: Springer
Language: English

Theoretical tools and insights from discrete mathematics, theoretical computer science, and topology now play essential roles in our understanding of vital biomolecular processes. The related methods are now employed in various fields of mathematical biology as instruments to "zoom in" on processes at a molecular level. This book contains expository chapters on how contemporary models from discrete mathematics – in domains such as algebra, combinatorics, and graph and knot theories – can provide perspective on biomolecular problems ranging from data analysis, molecular and gene arrangements and structures, and knotted DNA embeddings via spatial graph models to the dynamics and kinetics of molecular interactions. The contributing authors are among the leading scientists in this field and the book is a reference for researchers in mathematics and theoretical computer science who are engaged with modeling molecular and biological phenomena using discrete methods. It may also serve as a guide and supplement for graduate courses in mathematical biology or bioinformatics, introducing nontraditional aspects of mathematical biology.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Theoretical tools and insights from discrete mathematics, theoretical computer science, and topology now play essential roles in our understanding of vital biomolecular processes. The related methods are now employed in various fields of mathematical biology as instruments to "zoom in" on processes at a molecular level. This book contains expository chapters on how contemporary models from discrete mathematics – in domains such as algebra, combinatorics, and graph and knot theories – can provide perspective on biomolecular problems ranging from data analysis, molecular and gene arrangements and structures, and knotted DNA embeddings via spatial graph models to the dynamics and kinetics of molecular interactions. The contributing authors are among the leading scientists in this field and the book is a reference for researchers in mathematics and theoretical computer science who are engaged with modeling molecular and biological phenomena using discrete methods. It may also serve as a guide and supplement for graduate courses in mathematical biology or bioinformatics, introducing nontraditional aspects of mathematical biology.

More books from Springer Berlin Heidelberg

Cover of the book Media Management by
Cover of the book Cell Cycle in Development by
Cover of the book The Tradition and Modern Transition of Chinese Law by
Cover of the book MicroRNAs in Plant Development and Stress Responses by
Cover of the book Neural Tissue Biomechanics by
Cover of the book Myocardial Failure by
Cover of the book Aufzüge und Fahrtreppen by
Cover of the book Large-Scale Scientific Computing by
Cover of the book Two Faces of Evil: Cancer and Neurodegeneration by
Cover of the book Simulation of Urban Mobility by
Cover of the book Haustiere - zoologisch gesehen by
Cover of the book Stochastic Geometry, Spatial Statistics and Random Fields by
Cover of the book Fault-Tolerant Search Algorithms by
Cover of the book Leading Naturally by
Cover of the book Proceedings of the 2nd International Conference on Green Communications and Networks 2012 (GCN 2012): Volume 4 by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy