Description: Combinatorial Computational Biology of RNA Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Pseudoknots and Neutral Networks Author(s): Christian Reidys Format: Hardback Publisher: Springer-Verlag New York Inc., United States Imprint: Springer-Verlag New York Inc. ISBN-13: 9780387767307, 978-0387767307 Synopsis 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 [url] 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.
Price: 38.61 GBP
Location: Aldershot
End Time: 2025-02-05T09:08:08.000Z
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Book Title: Combinatorial Computational Biology of RNA
Number of Pages: 258 Pages
Publication Name: Combinatorial Computational Biology of Rna: Pseudoknots and Neutral Networks
Language: English
Publisher: Springer-Verlag New York Inc.
Item Height: 235 mm
Subject: Computer Science, Biology, Mathematics
Publication Year: 2010
Type: Textbook
Item Weight: 570 g
Author: Christian Reidys
Item Width: 155 mm
Format: Hardcover
