Combinatorial Computational Biology of RNA - Pseudoknots and Neutral Networks (Paperback, 2011 ed.)

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.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	September 2014
First published:	2011
Authors:	Christian Reidys
Dimensions:	235 x 155 x 14mm (L x W x T)
Format:	Paperback
Pages:	258
Edition:	2011 ed.
ISBN-13:	978-1-4899-8147-9
Categories:	Books > Science & Mathematics > Mathematics > Combinatorics & graph theory Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Evolution Promotions
LSN:	1-4899-8147-0
Barcode:	9781489981479

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