Combinatorial Computational Biology of RNA

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 pseudoknotted RNA structures and their
random graph theory, including neutral paths, giant components and
connectivity

All algorithms presented in the book are implemented in C and are freely available through a link on springer.com. 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.