1,919 research outputs found
CplexA: a Mathematica package to study macromolecular-assembly control of gene expression
Summary: Macromolecular assembly vertebrates essential cellular processes,
such as gene regulation and signal transduction. A major challenge for
conventional computational methods to study these processes is tackling the
exponential increase of the number of configurational states with the number of
components. CplexA is a Mathematica package that uses functional programming to
efficiently compute probabilities and average properties over such
exponentially large number of states from the energetics of the interactions.
The package is particularly suited to study gene expression at complex
promoters controlled by multiple, local and distal, DNA binding sites for
transcription factors. Availability: CplexA is freely available together with
documentation at http://sourceforge.net/projects/cplexa/.Comment: 28 pages. Includes Mathematica, Matlab, and Python implementation
tutorials. Software can be downloaded at http://cplexa.sourceforge.net
Multiprotein DNA looping
DNA looping plays a fundamental role in a wide variety of biological
processes, providing the backbone for long range interactions on DNA. Here we
develop the first model for DNA looping by an arbitrarily large number of
proteins and solve it analytically in the case of identical binding. We uncover
a switch-like transition between looped and unlooped phases and identify the
key parameters that control this transition. Our results establish the basis
for the quantitative understanding of fundamental cellular processes like DNA
recombination, gene silencing, and telomere maintenance.Comment: 11 pages, 4 figure
Estudio del Rhynchosauroides santanderiensis, n. sp., y otras nuevas huellas de pisadas en el Trias de Santander, con notas sobre el ambiente paleográfico
Procedentes del Trías del área de Puentenansa (Santander) se describen cuatro tipos de huellas de pisadas de reptiles de pequeño tamaño. Ninguno de los tipos se conocía anteriormente, pero sólo se ha dado nombre a uno de ellos (Rhynchosauroides santanderiensis, n.sp.).Se expone también, realizado a partir de datos petrológicos, un esbozo de las condiciones existentes en el área en la época en que vivieron los autores de las pistas. Este esbozo coincide con las conclusiones que pueden deducirse de la existencia y características de las huellas (zona marginal respecto al conjunto de la cuenca, sometida a inundaciones periódicas)
Dynamics-informed deconvolutional neural networks for super-resolution identification of regime changes in epidemiological time series
Inferring the timing and amplitude of perturbations in epidemiological
systems from their stochastically spread low-resolution outcomes is as relevant
as challenging. It is a requirement for current approaches to overcome the need
to know the details of the perturbations to proceed with the analyses. However,
the general problem of connecting epidemiological curves with the underlying
incidence lacks the highly effective methodology present in other inverse
problems, such as super-resolution and dehazing from computer vision. Here, we
develop an unsupervised physics-informed convolutional neural network approach
in reverse to connect death records with incidence that allows the
identification of regime changes at single-day resolution. Applied to COVID-19
data with proper regularization and model-selection criteria, the approach can
identify the implementation and removal of lockdowns and other
nonpharmaceutical interventions with 0.93-day accuracy over the time span of a
year.Comment: 18 pages, 5 figure
Conservation Laws in Smooth Particle Hydrodynamics: the DEVA Code
We describe DEVA, a multistep AP3M-like-SPH code particularly designed to
study galaxy formation and evolution in connection with the global cosmological
model. This code uses a formulation of SPH equations which ensures both energy
and entropy conservation by including the so-called \bn h terms. Particular
attention has also been paid to angular momentum conservation and to the
accuracy of our code. We find that, in order to avoid unphysical solutions, our
code requires that cooling processes must be implemented in a non-multistep
way.
We detail various cosmological simulations which have been performed to test
our code and also to study the influence of the \bn h terms. Our results
indicate that such correction terms have a non-negligible effect on some
cosmological simulations, especially on high density regions associated either
to shock fronts or central cores of collapsed objects. Moreover, they suggest
that codes paying a particular attention to the implementation of conservation
laws of physics at the scales of interest, can attain good accuracy levels in
conservation laws with limited computational resources.Comment: 36 pages, 10 figures. Accepted for publication in The Astrophysical
Journa
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