Combinatorial Computational Biology of RNA (e-bog) af Reidys, Christian
Reidys, Christian (forfatter)

Combinatorial Computational Biology of RNA e-bog

436,85 DKK (inkl. moms 546,06 DKK)
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 rese...
E-bog 436,85 DKK
Forfattere Reidys, Christian (forfatter)
Forlag Springer
Udgivet 29 oktober 2010
Genrer PBD
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9780387767314
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 connectivityAll 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.