David Adalsteinsson

University of North Carolina at Chapel Hill — United States

Engineering · Physical Sciences

21h-index3.9kcitations68works4.12yr avg
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Research Topics

Advanced Numerical Methods in Computational Mathematics(12), Genomics and Chromatin Dynamics(9), Gene Regulatory Network Analysis(9), Lattice Boltzmann Simulation Studies(8), Computer Graphics and Visualization Techniques(6)

Publications68 total

TopoLoop: A new tool for chromatin loop detection in live cells via single-particle tracking.
UNC Libraries·2025Open Access
Software for lattice light-sheet imaging of FRET biosensors, illustrated with a new Rap1 biosensor
UNC Libraries·2025Open Access
TopoLoop: A new tool for chromatin loop detection in live cells via single-particle tracking
The Journal of Chemical Physics·2024· 2 citedOpen Access
4D intravital imaging studies identify platelets as the predominant cellular procoagulant surface in a mouse hemostasis model
UNC Libraries·2024Open Access
4D intravital imaging studies identify platelets as the predominant cellular procoagulant surface in a mouse hemostasis model
Blood·2024· 18 citedOpen Access
pHusion – a robust and versatile toolset for automated detection and analysis of exocytosis
Journal of Cell Science·2024· 9 citedOpen Access
Polymer Modeling Reveals Interplay between Physical Properties of Chromosomal DNA and the Size and Distribution of Condensin-Based Chromatin Loops
UNC Libraries·2024Open Access
Polymer Modeling Reveals Interplay between Physical Properties of Chromosomal DNA and the Size and Distribution of Condensin-Based Chromatin Loops
Genes·2023· 4 citedOpen Access
4D Intravital Imaging Studies Identify Platelets As the Predominant Cellular Procoagulant Surface in Hemostasis
Blood·2023Open Access
4D intravital imaging studies identify platelets as the predominant cellular procoagulant surface in a mouse model of hemostasis
2023· 1 citedOpen Access
pHusion: A robust and versatile toolset for automated detection and analysis of exocytosis
2023Open Access
Simulating Dynamic Chromosome Compaction: Methods for Bridging In Silico to In Vivo
Methods in molecular biology·2022· 3 citedOpen Access
Gene regulatory networks: A coarse-grained, equation-free approach to multiscale computation
UNC Libraries·2021Open Access
An internal splash: Levitation of falling spheres in stratified fluids
Carolina Digital Repository (University of North Carolina at Chapel Hill)·2021Open Access
Biochemical Network Stochastic Simulator (BioNetS): software for stochastic modeling of biochemical networks
UNC Libraries·2021Open Access
Simulating Biochemical Signaling Networks in Complex Moving Geometries
UNC Libraries·2020Open Access
Numerical computation of diffusion on a surface
UNC Libraries·2020· 2 citedOpen Access
A cut-cell method for simulating spatial models of biochemical reaction networks in arbitrary geometries
UNC Libraries·2020Open Access
Statistical mechanics of chromosomes:<i>in vivo</i>and<i>in silico</i>approaches reveal high-level organization and structure arise exclusively through mechanical feedback between loop extruders and chromatin substrate properties
Nucleic Acids Research·2020· 19 citedOpen Access
Enrichment of dynamic chromosomal crosslinks drive phase separation of the nucleolus
UNC Libraries·2020Open Access
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Frequent Co-authors

James A. Sethian(13), Timothy C. Elston(8), M. Gregory Forest(8), Kerry Bloom(8), Josh Lawrimore(6), Ellen C. O’Shaughnessy(6), Caitlin Hult(5), M. Garzon(4), James E. McClure(4), Cass T. Miller(4), Benjamin L. Walker(4), Paula A. Vásquez(3), William G. Gray(3), Abigail Ballard-Kordeliski(3), Robert H. Lee(3), Paul Y. Kim(3), Summer R Jones(3), Matthew J. Flick(3), David S. Paul(3), Nigel Mackman(3)