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This paper presents the study of a DNA replication model grounded in the biochemical kinetics of DNA polymerases, which copy each DNA strand into a complementary strand, except for rare point-like mutations caused by nucleotide substitution…

Quantitative Methods · Quantitative Biology 2026-02-11 Pierre Gaspard

Chargaff's second parity rule for short oligonucleotides states that the frequency of any short nucleotide sequence on a strand is approximately equal to the frequency of its reverse complement on the same strand. Recent studies have shown…

Genomics · Quantitative Biology 2014-01-15 Marcelo Sobottka , Andrew G. Hart

Chargaff's second parity rule (CSPR) asserts that the frequencies of short polynucleotide chains are the same as those of the complementary reversed chains. Up to now, this hypothesis has only been observed empirically and there is…

Probability · Mathematics 2012-01-04 Andrew Hart , Servet Martínez , Felipe Olmos

This work presents a mathematical model that establishes an interesting connection between nucleotide frequencies in human single-stranded DNA and the famous Fibonacci's numbers. The model relies on two assumptions. First, Chargaff's second…

Other Quantitative Biology · Quantitative Biology 2008-03-19 Michel E. Beleza Yamagishi , Alex Itiro Shimabukuro

The article represents a new class of hidden symmetries in long sequences of oligonucleotides of single stranded DNA from their representative set. These symmetries are an addition to symmetries described by the second parity rule of…

Other Quantitative Biology · Quantitative Biology 2020-05-26 Sergey Petoukhov

Genomes in living organisms consist of the nucleotides adenine (A), guanine (G), cytosine (C) and thymine (T). All prokaryotes have genomes consisting of double-stranded DNA, where the A's and G's (purines) of one strand bind respectively…

Populations and Evolution · Quantitative Biology 2019-08-27 Jon Bohlin , Brittany Rose , Ola Brynildsrud , Birgitte Freiesleben De Blasio

Mismatch repair is a critical step in DNA replication that occurs after base selection and proofreading, significantly increasing fidelity. However, the mechanism of mismatch recognition has not been established for any repair enzyme.…

Biological Physics · Physics 2024-04-09 Nianqin Zhang , Yongjun Zhang

We explore the probabilistic structure of DNA in a number of bacterial genomes and conclude that a form of Markovianness is present at the boundaries between coding and non-coding regions, that is, the sequence of START and STOP codons…

Quantitative Methods · Quantitative Biology 2013-11-19 Andrew Hart , Servet Martínez

Double-stranded DNA may contain mismatched base pairs beyond the Watson-Crick pairs guanine-cytosine and adenine-thymine. Such mismatches bear adverse consequences for human health. We utilize molecular dynamics and metadynamics computer…

Biological Physics · Physics 2018-03-07 Addie Kingsland , Lutz Maibaum

When modelling metapopulation dynamics, the influence of a single patch on the metapopulation depends on the number of individuals in the patch. Since the population size has no natural upper limit, this leads to systems in which there are…

Probability · Mathematics 2011-04-01 A. D. Barbour , M. J. Luczak

The evolution of aligned DNA sequence sites is generally modeled by a Markov process operating along the edges of a phylogenetic tree. It is well known that the probability distribution on the site patterns at the tips of the tree…

Populations and Evolution · Quantitative Biology 2013-10-15 Benny Chor , Mike Steel

In the framework of the Poland Scheraga model of DNA denaturation, we derive a recursion relation for the partition function of double stranded DNA, allowing for mismatches between the two strands. This relation is studied numerically using…

Soft Condensed Matter · Physics 2007-05-23 T. Garel , H. Orland

We prove exponential decay of pair correlations for 1D stationary point processes when spacings satisfy a Markov condition, geometric ergodicity, and a condition on exponential moments. The conditions are phrased for stationary sequences of…

Probability · Mathematics 2026-05-22 Yoon Jun Chan , Markus Heydenreich , Sabine Jansen

We present a sufficient condition for a non-injective function of a Markov chain to be a second-order Markov chain with the same entropy rate as the original chain. This permits an information-preserving state space reduction by merging…

Information Theory · Computer Science 2013-12-20 Bernhard C. Geiger , Christoph Temmel

The aim of this work is to provide a rigorous mathematical analysis of a stochastic concatenation model presented by Sobottka and Hart (2011) which allows approximation of the first-order stochastic structure in bacterial DNA by means of a…

Genomics · Quantitative Biology 2019-11-28 Andrew G. Hart , M. Sobottka

We consider a population with non-overlapping generations, whose size goes to infinity. It is described by a discrete genealogy which may be time non-homogeneous and we pay special attention to branching trees in varying environments. A…

Probability · Mathematics 2013-05-22 Vincent Bansaye , Chunmao Huang

Understanding and predicting how complex systems respond to external perturbations is a central challenge in nonequilibrium statistical physics. Here we consider continuous-time Markov networks, which we subject to perturbations along a…

Statistical Mechanics · Physics 2026-02-25 Robin Bebon , Thomas Speck

We analyze the convergence rate of a simplified version of a popular Gibbs sampling method used for statistical discovery of gene regulatory binding motifs in DNA sequences. This sampler satisfies a very strong form of ergodicity (uniform).…

Statistics Theory · Mathematics 2013-03-13 Dawn B. Woodard , Jeffrey S. Rosenthal

In many empirical studies of a large two-sided matching market (such as in a college admissions problem), the researcher performs statistical inference under the assumption that they observe a random sample from a large matching market. In…

Econometrics · Economics 2024-04-02 Jacob Schwartz , Kyungchul Song

We study the problem of learning sparse structure changes between two Markov networks $P$ and $Q$. Rather than fitting two Markov networks separately to two sets of data and figuring out their differences, a recent work proposed to learn…

Machine Learning · Statistics 2016-04-11 Song Liu , Taiji Suzuki , Raissa Relator , Jun Sese , Masashi Sugiyama , Kenji Fukumizu
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