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相关论文: Combinatorics Of RNA Structures With Pseudoknots

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We view the folding of RNA-sequences as a map that assigns a pattern of base pairings to each sequence, known as secondary structure. These preimages can be constructed as random graphs (i.e. the neutral networks associated to the structure…

adap-org · 物理学 2008-02-03 Christian V. Forst , Christian Reidys , Jacqueline Weber

Two types of connected chord diagrams with chord endpoints lying in a collection of ordered and oriented real segments are considered here: the real segments may contain additional bivalent vertices in one model but not in the other. In the…

组合数学 · 数学 2015-12-15 N. V. Alexeev , J. E. Andersen , R. C. Penner , P. G. Zograf

Models for RNA secondary structures (the topology of folded RNA) without pseudo knots are disordered systems with a complex state-space below a critical temperature. Hence, a complex dynamical (glassy) behavior can be expected, when…

无序系统与神经网络 · 物理学 2008-02-02 S. Wolfsheimer , B. Burghardt , A. Mann , A. K. Hartmann

The relationship between sequences and secondary structures or shapes in RNA exhibits robust statistical properties summarized by three notions: (1) the notion of a typical shape (that among all sequences of fixed length certain shapes are…

生物物理 · 物理学 2009-10-31 Peter Schuster , Walter Fontana

RNA secondary structure is an important computational model to understand how genetic variation maps into phenotypic (structural) variation. Evolutionary innovation in RNA structures is facilitated by neutral networks, large connected sets…

种群与进化 · 定量生物学 2008-01-22 Sumedha , Olivier C Martin , Andreas Wagner

In this paper we compute the loop homology of bi-secondary structures. Bi-secondary structures were introduced by Haslinger and Stadler and are pairs of RNA secondary structures, i.e. diagrams having non-crossing arcs in the upper…

一般拓扑 · 数学 2019-04-04 Andrei C. Bura , Qijun He , Christian M. Reidys

We compute the lowest moments of the nucleon's structure functions using quenched overlap fermions at two different lattice spacings. The renormalisation is done nonperturbatively in the RI'-MOM-scheme.

高能物理 - 格点 · 物理学 2008-11-26 D. Galletly , M. Gürtler , R. Horsley , K. Koller , V. Linke , P. E. L. Rakow , C. J. Roberts , G. Schierholz , T. Streuer

Classical knots in $\mathbb{R}^3$ can be represented by diagrams in the plane. These diagrams are formed by curves with a finite number of transverse crossings, where each crossing is decorated to indicate which strand of the knot passes…

The present paper is devoted to the study of the combinatorics of 216 maximal $C^3$ circular codes --- a particular type of structure arising in the analysis of genomic sequences. Their circularity property is believed to be intimately…

组合数学 · 数学 2018-05-15 Aleksandr Serdiukov , Andrei Smolensky

Functional or non-coding RNAs are attracting more attention as they are now potentially considered valuable resources in the development of new drugs intended to cure several human diseases. The identification of drugs targeting the…

基因组学 · 定量生物学 2019-12-25 Muhammad Nabeel Asima , Muhammad Imran Malik , Andreas Dengela , Sheraz Ahmed

Motivation: RNA design aims to find RNA sequences that fold into a given target secondary structure, a problem also known as RNA inverse folding. However, not all target structures are designable. Recent advances in RNA designability have…

数据结构与算法 · 计算机科学 2026-04-28 Tianshuo Zhou , David H. Mathews , Liang Huang

The tertiary structures of functional RNA molecules remain difficult to decipher. A new generation of automated RNA structure prediction methods may help address these challenges but have not yet been experimentally validated. Here we apply…

生物大分子 · 定量生物学 2011-10-05 Wipapat Kladwang , Fang-Chieh Chou , Rhiju Das

Substring kernels are classical tools for representing biological sequences or text. However, when large amounts of annotated data are available, models that allow end-to-end training such as neural networks are often preferred. Links…

机器学习 · 统计学 2019-10-18 Dexiong Chen , Laurent Jacob , Julien Mairal

Pseudo links have two crossing types: classical crossings and indeterminate crossings. They were first introduced by Ryo Hanaki as a possible tool for analyzing images produced by electron microscopy of DNA. A normalized bracket polynomial…

几何拓扑 · 数学 2015-12-16 Heather A. Dye

Enumerative studies of RNA secondary structures were initiated four decades ago by Waterman and his coworkers. Since then, RNA secondary structures have been explored according to many different structural characteristics, for instance,…

组合数学 · 数学 2024-07-10 Ricky X. F. Chen , Christian M. Reidys , Michael S. Waterman

In this paper we present a novel framework for sequence to shape maps. These combinatorial maps realize exponentially many shapes, and have preimages which contain extended connected subgraphs of diameter n (neutral networks). We prove that…

定量方法 · 定量生物学 2009-09-29 Emma Y. Jin , Jing Qin , Christian M. Reidys

In this paper, we introduce polynomial time algorithms that generate random $k$-noncrossing partitions and 2-regular, $k$-noncrossing partitions with uniform probability. A $k$-noncrossing partition does not contain any $k$ mutually…

组合数学 · 数学 2009-11-17 Jing Qin , Christian M. Reidys

It is a classical result of Stein and Waterman that the asymptotic number of RNA secondary structures is $1.104366 \cdot n^{-3/2} \cdot 2.618034^n$. Motivated by the kinetics of RNA secondary structure formation, we are interested in…

组合数学 · 数学 2013-01-01 Éric Fusy , Peter Clote

Generating random and pseudorandom numbers with a deterministic system is a long-standing challenge in theoretical research and engineering applications. Several pseudorandom number generators based on the inversive congruential method have…

离散数学 · 计算机科学 2024-01-17 Xiaoxiong Lu , Chengqing Li , Bo Zhou

In this paper we present a sampling framework for RNA structures of fixed topological genus. We introduce a novel, linear time, uniform sampling algorithm for RNA structures of fixed topological genus $g$, for arbitrary $g>0$. Furthermore…

计算工程、金融与科学 · 计算机科学 2013-04-30 Fenix W. D. Huang , Markus E. Nebel , Christian M. Reidys