Combinatorial Computational Biology of RNA Pseudoknots and Neutral Networks [Paperback]

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.

This book brings together the authors research in the study of RNA structures, presenting new combinatorics and combinatorial structures which enhance both mathematics and biology. The author produces pseudo knotted structures, providing an alternative approach.

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

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 colÃ6