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＜電子ブック＞
Combinatorial Computational Biology of RNA : Pseudoknots and Neutral Networks / by Christian Reidys

版	1st ed. 2011.
出版者	(New York, NY : Springer New York : Imprint: Springer)
出版年	2011
大きさ	X, 258 p : online resource
著者標目	*Reidys, Christian author SpringerLink (Online service)
件　名	LCSH:Biomathematics LCSH:Discrete mathematics LCSH:Computer science—Mathematics LCSH:Evolution (Biology) FREE:Mathematical and Computational Biology FREE:Discrete Mathematics FREE:Discrete Mathematics in Computer Science FREE:Evolutionary Biology
一般注記	Introduction -- Secondary Structures, Pseudoknot RNA and Beyond -- Folding Sequences into Structures -- Evolution of RNA Sequences -- Methods -- References -- Index 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 HTTP:URL=https://doi.org/10.1007/978-0-387-76731-4

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