David Adalsteinsson
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Explore the profile of David Adalsteinsson including associated specialties, affiliations and a list of published articles.
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Articles
19
Citations
374
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Recent Articles
11.
Hult C, Adalsteinsson D, Vasquez P, Lawrimore J, Bennett M, York A, et al.
Nucleic Acids Res
. 2017 Oct;
45(19):11159-11173.
PMID: 28977453
Regions of highly repetitive DNA, such as those found in the nucleolus, show a self-organization that is marked by spatial segregation and frequent self-interaction. The mechanisms that underlie the sequestration...
12.
Vasquez P, Hult C, Adalsteinsson D, Lawrimore J, Forest M, Bloom K
Nucleic Acids Res
. 2016 Jun;
44(12):5540-9.
PMID: 27257057
We investigate chromosome organization within the nucleus using polymer models whose formulation is closely guided by experiments in live yeast cells. We employ bead-spring chromosome models together with loop formation...
13.
Strychalski W, Adalsteinsson D, Elston T
Comm App Math Comp Sci
. 2013 Nov;
5(1):31-53.
PMID: 24194691
Cells use signaling networks consisting of multiple interacting proteins to respond to changes in their environment. In many situations, such as chemotaxis, spatial and temporal information must be transmitted through...
14.
Strychalski W, Adalsteinsson D, Elston T
SIAM J Sci Comput
. 2013 Oct;
32(5):3039-3070.
PMID: 24086102
Signaling networks regulate cellular responses to environmental stimuli through cascades of protein interactions. External signals can trigger cells to polarize and move in a specific direction. During migration, spatially localized...
15.
Kwatra V, Adalsteinsson D, Kim T, Kwatra N, Carlson M, Lin M
IEEE Trans Vis Comput Graph
. 2007 Jul;
13(5):939-52.
PMID: 17622678
We present a novel technique for synthesizing textures over dynamically changing fluid surfaces. We use both image textures as well as bump maps as example inputs. Image textures can enhance...
16.
Erban R, Kevrekidis I, Adalsteinsson D, Elston T
J Chem Phys
. 2006 Mar;
124(8):084106.
PMID: 16512707
We present computer-assisted methods for analyzing stochastic models of gene regulatory networks. The main idea that underlies this equation-free analysis is the design and execution of appropriately initialized short bursts...
17.
Guido N, Wang X, Adalsteinsson D, McMillen D, Hasty J, Cantor C, et al.
Nature
. 2006 Feb;
439(7078):856-60.
PMID: 16482159
The ability to construct synthetic gene networks enables experimental investigations of deliberately simplified systems that can be compared to qualitative and quantitative models. If simple, well-characterized modules can be coupled...
18.
Schwartz P, Adalsteinsson D, Colella P, Arkin A, Onsum M
Proc Natl Acad Sci U S A
. 2005 Aug;
102(32):11151-6.
PMID: 16076952
We present a numerical method for computing diffusive transport on a surface derived from image data. Our underlying discretization method uses a Cartesian grid embedded boundary method for computing the...
19.
Adalsteinsson D, McMillen D, Elston T
BMC Bioinformatics
. 2004 Apr;
5:24.
PMID: 15113411
Background: Intrinsic fluctuations due to the stochastic nature of biochemical reactions can have large effects on the response of biochemical networks. This is particularly true for pathways that involve transcriptional...