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We employ the diffusing transcription factors model for numerical simulation of chromatin topology conformations and transcriptional processes of human chromatin. Simulations of a short chromatin filament reveal different possible pathways…

Soft Condensed Matter · Physics 2023-07-10 Massimiliano Semeraro , Giuseppe Negro , Antonio Suma , Giuseppe Gonnella , Davide Marenduzzo

Developments in transcriptomics techniques have caused a large demand in tailored computational methods for modelling gene expression dynamics from experimental data. Recently, so-called single-cell experiments have revolutionised genetic…

Quantitative Methods · Quantitative Biology 2019-03-18 Atte Aalto , Jorge Goncalves

As researchers collect increasingly large molecular data sets to reconstruct the Tree of Life, the heterogeneity of signals in the genomes of diverse organisms poses challenges for traditional phylogenetic analysis. A class of phylogenetic…

Populations and Evolution · Quantitative Biology 2015-09-11 Liang Liu , Zhenxiang Xi , Shaoyuan Wu , Charles Davis , Scott V. Edwards

Developmental trajectories are known to be canalized, or robust to both environmental and genetic perturbations. However, even when these trajectories are decanalized by an environmental perturbation outside of the range of conditions to…

Biological Physics · Physics 2025-09-25 Yuuki Matsushita , Archishman Raju

Genome length varies widely among organisms, from compact genomes of prokaryotes to vast and complex genomes of eukaryotes. In this study, we theoretically identify the evolutionary pressures that may have driven this divergence in genome…

Genomics · Quantitative Biology 2025-03-03 Parthasarathi Sahu , Sashikanta Barik , Koushik Ghosh , Hemachander Subramanian

Phenotype-based screening has attracted much attention for identifying cell-active compounds. Transcriptional and proteomic profiles of cell population or single cells are informative phenotypic measures of cellular responses to…

Quantitative Methods · Quantitative Biology 2023-11-20 Wei Huang , Aichun Zhu , Hui Liu

Recent advances in molecular biology allow the quantification of the transcriptome and scoring transcripts as differentially or equally expressed between two biological conditions. Although these two tasks are closely linked, the available…

Methodology · Statistics 2017-02-08 Panagiotis Papastamoulis , Magnus Rattray

In eukaryotic genomes, nucleosomes function to compact DNA and to regulate access to it both by simple physical occlusion and by providing the substrate for numerous covalent epigenetic tags. While nucleosome positions in vitro are…

Somatic mutations in cancer cells affect various genomic elements disrupting important cell functions. In particular, mutations in DNA binding sites recognized by transcription factors can alter regulator binding affinities and expression…

Transcription of genes is the focus of most forms of regulation of gene expression. Even though careful biochemical experimentation has revealed the molecular mechanisms of transcription initiation for a number of different promoters in…

Molecular Networks · Quantitative Biology 2018-10-17 Sandeep Choubey , Jane Kondev , Alvaro Sanchez

The Hill coefficient is often used as a direct measure of the cooperativity of binding processes. It is an essential tool for probing properties of reactions in many biochemical systems. Here we analyze existing experimental data and…

Biological Physics · Physics 2012-08-31 M. Sheinman , Y. Kafri

Genetic competence is a phenotypic state of a bacterial cell in which it is capable of importing DNA, presumably to hasten its exploration of alternate genes in its quest for survival under stress. Recently, it was proposed that this…

Molecular Networks · Quantitative Biology 2009-11-13 Inbal Hecht , Eshel Ben-Jacob , Herbert Levine

We utilized abundant transcriptomic data for the primary classes of brain cancers to study the feasibility of separating all of these diseases simultaneously based on molecular data alone. These signatures were based on a new method…

Quantitative Methods · Quantitative Biology 2013-08-05 Jaeyun Sung , Pan-Jun Kim , Shuyi Ma , Cory C. Funk , Andrew T. Magis , Yuliang Wang , Leroy Hood , Donald Geman , Nathan D. Price

Understanding the patterns and causes of phenotypic divergence is a central goal in evolutionary biology. Much work has shown that mRNA abundance is highly variable between closely related species. However, the extent and mechanisms of…

Genomics · Quantitative Biology 2013-12-09 Joel McManus , Gemma May , Pieter Spealman , Alan Shteyman

High-throughput RNA-sequencing (RNA-seq) technologies are powerful tools for understanding cellular state. Often it is of interest to quantify and summarize changes in cell state that occur between experimental or biological conditions.…

Methodology · Statistics 2021-02-16 Andrew Jones , F. William Townes , Didong Li , Barbara E. Engelhardt

Intragenomic recombination (crossover) is a very important evolutionary mechanism. The crossover events are not evenly distributed along the natural chromosomes. Monte Carlo simulations revealed that frequency of recombinations decides…

Genomics · Quantitative Biology 2009-01-13 Wojciech Waga , Marta Zawierta , Jakub Kowalski , Stanislaw Cebrat

When reliable target structures are unavailable at scale or phenotypes arise from dysregulated pathways, transcriptomic perturbations provide a system-level functional readout for drug action. In this work, we formalize…

Machine Learning · Computer Science 2026-05-18 Ziyu Xu , Zijian Zhang , Liang Wang , Zhiyuan Liu , Qiang Liu , Shu Wu , Liang Wang

Gene expression is controlled primarily by interactions between transcription factor proteins (TFs) and the regulatory DNA sequence, a process that can be captured well by thermodynamic models of regulation. These models, however, neglect…

Molecular Networks · Quantitative Biology 2015-12-16 Sarah A Cepeda-Humerez , Georg Rieckh , Gašper Tkačik

Although DNA foundation models have advanced the understanding of genomes, they still face significant challenges in the limited scale and diversity of genomic data. This limitation starkly contrasts with the success of natural language…

Genomics · Quantitative Biology 2024-02-14 Huixin Zhan , Ying Nian Wu , Zijun Zhang

Eukaryotic cells are able to sense chemical gradients in a wide range of environments. We show that, if a cell is exposed to a highly variable environment, it may gain chemotactic accuracy by expressing multiple receptor types with varying…

Cell Behavior · Quantitative Biology 2020-11-04 Austin Hopkins , Brian A. Camley
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