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Titlebook: Combinatorial Computational Biology of RNA; Pseudoknots and Neut Christian Reidys Book 2011 Springer Science+Business Media, LLC 2011 compu

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发表于 2025-3-21 19:39:43 | 显示全部楼层 |阅读模式
书目名称Combinatorial Computational Biology of RNA
副标题Pseudoknots and Neut
编辑Christian Reidys
视频video
概述Presents new combinatorics and combinatorial structures and applies them to the study of RNA structures.Presents new results on pseudoknot RNA.Motivating introductory chapter.Includes supplementary ma
图书封面Titlebook: Combinatorial Computational Biology of RNA; Pseudoknots and Neut Christian Reidys Book 2011 Springer Science+Business Media, LLC 2011 compu
描述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
出版日期Book 2011
关键词computational biology; discrete mathematics; mathematical biology; pseudo knots; combinatorics
版次1
doihttps://doi.org/10.1007/978-0-387-76731-4
isbn_softcover978-1-4899-8147-9
isbn_ebook978-0-387-76731-4
copyrightSpringer Science+Business Media, LLC 2011
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发表于 2025-3-21 23:58:25 | 显示全部楼层
NA.Motivating introductory chapter.Includes supplementary maIn 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 ba
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发表于 2025-3-22 07:06:44 | 显示全部楼层
Neutral networks,]. In [71] data on sequence to structure maps into RNA pseudoknot structures based on . are being presented. The above papers allow to contrast the random graph model with biophysical folding maps. Our presentation is based on the papers [105, 102, 103, 106].
发表于 2025-3-22 09:52:09 | 显示全部楼层
https://doi.org/10.1007/978-3-642-68278-0Almost three decades ago Michael Waterman pioneered the combinatorics and prediction of the ribonucleic acid (RNA) secondary structures, a rather non-mainstream research field at the time.
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https://doi.org/10.1007/978-3-642-68278-0In this chapter we develop the theory of .-noncrossing and .-noncrossing, .-canonical structures. We derive their generating functions and obtain their singularity analysis, which produces simple, asymptotic formulas for the numbers of various types of k-noncrossing s-canonical structures.
发表于 2025-3-23 04:42:36 | 显示全部楼层
https://doi.org/10.1007/978-3-642-68280-3In this section we prove that .-noncrossing RNA structures can be generated efficiently with uniform probability. The results presented here are derived from [26] and are based on Section 2.1.
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