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Error-correcting codes over sets, with applications to DNA storage, are studied. The DNA-storage channel receives a set of sequences, and produces a corrupted version of the set, including sequence loss, symbol substitution, symbol…

Information Theory · Computer Science 2021-07-12 Hengjia Wei , Moshe Schwartz

Gene regulation relies on the specificity of transcription factor (TF) - DNA interactions. In equilibrium, limited specificity may lead to crosstalk: a regulatory state in which a gene is either incorrectly activated due to noncognate…

Molecular Networks · Quantitative Biology 2016-10-31 Tamar Friedlander , Roshan Prizak , Călin C. Guet , Nicholas H. Barton , Gašper Tkačik

The set of regulatory interactions between genes, mediated by transcription factors, forms a species' transcriptional regulatory network (TRN). By comparing this network with measured gene expression data one can identify functional…

Molecular Networks · Quantitative Biology 2015-05-19 Carsten Marr , Fabian J. Theis , Larry S. Liebovitch , Marc-Thorsten Hütt

We consider a stochastic model of transcription factor (TF)-regulated gene expression. The model describes two genes: Gene A and Gene B which synthesize the TFs and the target gene proteins respectively. We show through analytic…

Quantitative Methods · Quantitative Biology 2009-11-13 Rajesh Karmakar , Indrani Bose

Bacterial genomes have been shown to be partitioned into several kilobases long chromosomal domains that are topologically independent from each other, meaning that change of DNA superhelicity in one domain does not propagate to neighbors.…

Biological Physics · Physics 2020-09-17 Marc Joyeux , Ivan Junier

Recent experiments show that transcription factors (TFs) indeed use the facilitated diffusion mechanism to locate their target sequences on DNA in living bacteria cells: TFs alternate between sliding motion along DNA and relocation events…

Quantitative Methods · Quantitative Biology 2015-07-10 Maximilian Bauer , Emil S. Rasmussen , Michael A. Lomholt , Ralf Metzler

Central to the functioning of a living cell is its ability to control the readout or expression of information encoded in the genome. In many cases, a single transcription factor protein activates or represses the expression of many genes.…

Molecular Networks · Quantitative Biology 2013-05-29 Aleksandra M. Walczak , Gapser Tkacik , William Bialek

Surviving in a diverse environment requires corresponding organism responses. At the cellular level, such adjustment relies on the transcription factors (TFs) which must rapidly find their target sequences amidst a vast amount of…

Quantitative Methods · Quantitative Biology 2009-11-13 Vahid Rezania , Jack Tuszynski , Michael Hendzel

Biological cells replicate their genomes in a well-planned manner. The DNA replication program of an organism determines the timing at which different genomic regions are replicated, with fundamental consequences for cell homeostasis and…

Subcellular Processes · Quantitative Biology 2024-05-28 Florian Pflug , Deepak Bhat , Simone Pigolotti

Identity, response to external stimuli, and spatial architecture of a living system are central topics of molecular biology. Presently, they are largely seen as a result of the interplay between a gene repertoire and the regulatory…

Molecular Networks · Quantitative Biology 2007-05-23 M. Cosentino Lagomarsino , P. Jona , B. Bassetti

DNA sequences are prone to creating secondary structures by folding back on themselves by non-specific hybridization among its nucleotides. The formation of secondary structures makes the sequences chemically inactive towards synthesis and…

Information Theory · Computer Science 2022-11-30 Siddhartha Siddhiprada Bhoi , Paramapalli Udaya , Abhay Kumar Singh

Transcriptional networks represent one of the most extensively studied types of systems in synthetic biology. Although the completeness of transcriptional networks for digital logic is well-established, *analog* computation plays a crucial…

Computational Complexity · Computer Science 2026-05-15 David Doty , Mina Latifi , David Soloveichick

This paper characterizes the inherent power of evolutionary algorithms. This power depends on the computational properties of the genetic encoding. With some encodings, two parents recombined with a simple crossover operator can sample from…

Neural and Evolutionary Computing · Computer Science 2022-08-04 Elliot Meyerson , Xin Qiu , Risto Miikkulainen

Many transcription factors bind to DNA with a remarkable lack of specificity, so that regulatory binding sites compete with an enormous number of non-regulatory 'decoy' sites. For an auto-regulated gene, we show decoy sites decrease noise…

Molecular Networks · Quantitative Biology 2015-06-05 Anat Burger , Aleksandra M. Walczak , Peter G. Wolynes

We present a simple and efficient method for prediction of transcription factor binding sites from DNA sequence. Our method computes a random approximation of a convolutional kernel feature map from DNA sequence and then learns a linear…

Genomics · Quantitative Biology 2017-06-02 Alyssa Morrow , Vaishaal Shankar , Devin Petersohn , Anthony Joseph , Benjamin Recht , Nir Yosef

Strong experimental and theoretical evidence shows that transcription factors and other specific DNA-binding proteins find their sites using a two-mode search: alternating between 3D diffusion through the cell and 1D sliding along the DNA.…

Biomolecules · Quantitative Biology 2008-06-11 Zeba Wunderlich , Leonid A. Mirny

Turnover of regulatory sequence and function is an important part of molecular evolution. But what are the modes of sequence evolution leading to rapid formation and loss of regulatory sites? Here, we show that a large fraction of…

Populations and Evolution · Quantitative Biology 2015-03-19 Armita Nourmohammad , Michael Laessig

The mean length and the variability of coding sequences for 48 genomes of bacteria and archaea were analyzed. It was found that the plotted data can be described by an angular area. This suggests the followings: a) The variability of a…

Genomics · Quantitative Biology 2008-05-12 Vasile V. Morariu

Transcription Factors (TFs) are proteins that regulate gene expression. The regulation mechanism is via the binding of a TF to a specific part of the gene associated with it, the TF's target. The target of a specific TF corresponds to a…

Statistical Mechanics · Physics 2022-09-02 Ori Hachmo , Ariel Amir

Labeling of DNA molecules is a fundamental technique for DNA visualization and analysis. This process was mathematically modeled in [1], where the received sequence indicates the positions of the used labels. In this work, we develop error…

Information Theory · Computer Science 2025-11-04 Dganit Hanania , Eitan Yaakobi