Christian Reidys

(Author)

Combinatorial Computational Biology of RNA: Pseudoknots and Neutral Networks (2011)Paperback - 2011, 2 September 2014

Combinatorial Computational Biology of RNA: Pseudoknots and Neutral Networks (2011)
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Print Length
258 pages
Language
English
Publisher
Springer
Date Published
2 Sep 2014
ISBN-10
1489981470
ISBN-13
9781489981479

Description

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.

Product Details

Author:
Christian Reidys
Book Edition:
2011
Book Format:
Paperback
Country of Origin:
NL
Date Published:
2 September 2014
Dimensions:
23.39 x 15.6 x 1.42 cm
Genre:
Science/Technology Aspects
ISBN-10:
1489981470
ISBN-13:
9781489981479
Language:
English
Location:
New York, NY
Pages:
258
Publisher:
Weight:
381.02 gm

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