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We propose a novel combination of methods that (i) portrays quantitative characteristics of a DNA sequence as an image, (ii) computes distances between these images, and (iii) uses these distances to output a map wherein each sequence is a…

Genomics · Quantitative Biology 2013-07-16 Lila Kari , Kathleen A. Hill , Abu Sadat Sayem , Nathaniel Bryans , Katelyn Davis , Nikesh S. Dattani

A nonlinear Tracking-Differentiator is one-input-two-output system that can generate smooth approximation of measured signals and get the derivatives of the signals. The nonlinear tracking-Differentiator is explored to denoise and generate…

Computational Engineering, Finance, and Science · Computer Science 2013-05-24 Changchuan Yin , Dongchul Yoo , Stephen S. -T. Yau

Several technological limitations of traditional silicon based computing are leading towards the paradigm shift, from silicon to carbon, in computational world. Among the unconventional modes of computing evolved in past several decades,…

Biomolecules · Quantitative Biology 2020-10-02 Mandrita Mondal , Kumar S. Ray

We study a class of micromanipulation experiments, exemplified by the pulling apart of the two strands of double-stranded DNA (dsDNA). When the pulling force is increased to a critical value, an ``unzipping'' transition occurs. For random…

Soft Condensed Matter · Physics 2009-10-31 David K. Lubensky , David R. Nelson

In this paper, we present an optical computing method for string data alignment applicable to genome information analysis. By applying moire technique to spatial encoding patterns of deoxyribonucleic acid (DNA) sequences, association…

In solution, DNA is a highly charged macromolecule which bears a unit of negative charge on each phosphate of its sugar-phosphate backbone. Although partially compensated by counterions adsorbed at or condensed near it, DNA still produces a…

Soft Condensed Matter · Physics 2024-03-11 Jonathan G. Hedley , Kush Coshic , Aleksei Aksimentiev , Alexei A. Kornyshev

Optimization acceleration techniques such as momentum play a key role in state-of-the-art machine learning algorithms. Recently, generic vector sequence extrapolation techniques, such as regularized nonlinear acceleration (RNA) of Scieur et…

Optimization and Control · Mathematics 2019-05-29 Aritra Dutta , El Houcine Bergou , Yunming Xiao , Marco Canini , Peter Richtárik

Rapid sequencing of individual human genome is prerequisite to genomic medicine, where diseases will be prevented by preemptive cures. Quantum-mechanical tunneling through single-stranded DNA in a solid-state nanopore has been proposed for…

DNA computing, a nontraditional computing mechanism, provides a feasible and effective method for solving NP-hard problems because of the vast parallelism and high-density storage of DNA molecules. Although DNA computing has been exploited…

Molecular Networks · Quantitative Biology 2022-11-17 Enqiang Zhu , Xianhang Luo , Chanjuan Liu , Xiaolong Shi , Jin Xu

Previous divide-and-conquer segmentation analyses of DNA sequences do not provide a satisfactory stopping criterion for the recursion. This paper proposes that segmentation be considered as a model selection process. Using the tools in…

Biological Physics · Physics 2007-05-23 Wentian Li

Motivation: DNA methylation is an intensely studied epigenetic mark, yet its functional role is incompletely understood. Attempts to quantitatively associate average DNA methylation to gene expression yield poor correlations outside of the…

Genomics · Quantitative Biology 2016-11-17 Chantriolnt-Andreas Kapourani , Guido Sanguinetti

Causal discovery aims to automatically uncover causal relationships from data, a capability with significant potential across many scientific disciplines. However, its real-world applications remain limited. Current methods often rely on…

In this review we focus on the idea of establishing connections between the mechanical properties of DNAligand complexes and the physical chemistry of DNA-ligand interactions. This type of connection is interesting because it opens the…

Biological Physics · Physics 2015-04-20 M. S. Rocha

Mapping human genetic variation is fundamentally interesting in fields such as anthropology and forensic inference. At the same time patterns of genetic diversity confound efforts to determine the genetic basis of complex disease. Due to…

Applications · Statistics 2010-07-13 Ann B. Lee , Diana Luca , Kathryn Roeder

This chapter will provide an overview of how characterizing free-energy landscapes can provide insights into the biophysical properties of DNA, as well as into the behaviour of the DNA assemblies used in the field of DNA nanotechnology. The…

Background: Trace quantities of contaminating DNA are widespread in the laboratory environment, but their presence has received little attention in the context of high throughput sequencing. This issue is highlighted by recent works that…

Genomics · Quantitative Biology 2015-06-18 Richard W Lusk

Introduction: Even in effectively conducted randomised trials, the probability of a successful study remains relatively low. With recent advances in the next-generation sequencing technologies, there is a rapidly growing number of…

The prevalent technique for DNA sequencing consists of two main steps: shotgun sequencing, where many randomly located fragments, called reads, are extracted from the overall sequence, followed by an assembly algorithm that aims to…

Genomics · Quantitative Biology 2016-01-28 Shirshendu Ganguly , Elchanan Mossel , Miklos Z. Racz

It is increasingly common clinically for cancer specimens to be examined using techniques that identify somatic mutations. In principle these mutational profiles can be used to diagnose the tissue of origin, a critical task for the 3-5% of…

Methodology · Statistics 2020-07-14 Saptarshi Chakraborty , Colin B. Begg , Ronglai Shen

Fall detection, particularly critical for high-risk demographics like the elderly, is a key public health concern where timely detection can greatly minimize harm. With the advancements in radio frequency technology, radar has emerged as a…

Robotics · Computer Science 2024-02-07 Shuting Hu , Siyang Cao , Nima Toosizadeh , Jennifer Barton , Melvin G. Hector , Mindy J. Fain
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