Fr. 124.00

Combinatorial Computational Biology of RNA - Pseudoknots and Neutral Networks

English · Paperback / Softback

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In this monograph, new combinatorial and computational approaches in the study of RNA structures are presented which enhance both mathematics and computational biology.It begins with an introductory chapter, which motivates and sets the background of this research. In the following chapter, all the concepts are systematically developed.The reader will find* integration of more than forty research papers covering topics like,RSK-algorithm, reflection principle, singularity analysis and randomgraph theory* systematic presentation of the theory of pseudo-knotted RNA structuresincluding their generating function, uniform generation as well as centraland discrete limit theorems* computational biology of pseudo-knotted RNA structures, including dynamicprogramming paradigms and a new folding algorithm* analysis of neutral networks of pseudo knotted RNA structures and theirrandom graph theory, including neutral paths, giant components andconnectivityAll algorithms presented are freely available through springer.com and implemented in C. A proofs section at the end contains the necessary technicalities.This book will serve graduate students and researchers in the fields of discrete mathematics, mathematical and computational biology. It is suitable as a textbook for a graduate course in mathematical and computational biology.

List of contents

Introduction.- Secondary Structures, Pseudoknot RNA and Beyond.- Folding Sequences into Structures.- Evolution of RNA Sequences.- Methods.- References.- Index.

Summary

In this monograph, new combinatorial and computational approaches in the study of RNA structures are presented which enhance both mathematics and computational biology.

It begins with an introductory chapter, which motivates and sets the background of this research. In the following chapter, all the concepts are systematically developed.

The reader will find

* integration of more than forty research papers covering topics like,
RSK-algorithm, reflection principle, singularity analysis and random
graph theory
* systematic presentation of the theory of pseudo-knotted RNA structures
including their generating function, uniform generation as well as central
and discrete limit theorems
* computational biology of pseudo-knotted RNA structures, including dynamic
programming paradigms and a new folding algorithm
* analysis of neutral networks of pseudo knotted RNA structures and their
random graph theory, including neutral paths, giant components and
connectivity

All algorithms presented are freely available through springer.com and implemented in C. A proofs section at the end contains the necessary technicalities.

This book will serve graduate students and researchers in the fields of discrete mathematics, mathematical and computational biology. It is suitable as a textbook for a graduate course in mathematical and computational biology.

Additional text

From the reviews:
“This book is devoted to the study of the structure of combinatorial models of the ribonucleic acid (RNA). … This book can serve as an introduction to the study of combinatorial computational biology as well as a reference of known results and state of the art in this topic.” (Ludovit Niepel, Zentralblatt MATH, Vol. 1207, 2011)

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From the reviews:
"This book is devoted to the study of the structure of combinatorial models of the ribonucleic acid (RNA). ... This book can serve as an introduction to the study of combinatorial computational biology as well as a reference of known results and state of the art in this topic." (Ludovit Niepel, Zentralblatt MATH, Vol. 1207, 2011)

Product details

Authors Christian Reidys
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 01.01.2014
 
EAN 9781489981479
ISBN 978-1-4899-8147-9
No. of pages 258
Dimensions 159 mm x 237 mm x 16 mm
Weight 415 g
Illustrations X, 258 p.
Subjects Natural sciences, medicine, IT, technology > Mathematics > Miscellaneous

B, Evolution, Combinatorics, Mathematics and Statistics, Discrete Mathematics in Computer Science, Discrete Mathematics, Evolutionary Biology, Combinatorics & graph theory, Computer science—Mathematics, Maths for computer scientists, Biomathematics, Mathematical and Computational Biology

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