Stochastic Dynamical Systems in Biology: Numerical Methods and Applications

Created: 2016-01-25 14:48
Institution: Isaac Newton Institute for Mathematical Sciences
Description: In the past decades, quantitative biology has been driven by new modelling-based stochastic dynamical systems and partial differential equations. Examples from gene regulation, molecular signalling, cell division and molecular transport, as recently revealed by live cell images, have shown that many processes in cells and in molecular biology are inherently driven by stochastic events. One of the biggest challenges we propose to address in this programme is to develop methods and analysis, as well as efficient algorithms for simulations, to bridge the range of different biological scales. In support of this goal, the programme will focus on

Analysis of stochastic dynamical systems and applications in molecular and cellular biology.
Development of efficient computational methods for simulating stochastic equations over various scales.
Identifying new research areas.

In particular, three interlinked focus areas will run throughout the programme:

Analysis, computation and development of non-spatial (well mixed) models.
Analysis, computation and development of spatio-temporal reaction-diffusion models, including Brownian dynamics and compartment-based simulations (reaction-diffusion master equation).
Multiscale methods.

The programme will feature an opening, midterm and closing workshop at the Isaac Newton Institute, as well as a Satellite Meeting.
 

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Media items

"No We Can't": Impossibility of efficient leader election by chemical reactions

   47 views

Doty, D (University of California, Davis)
Tuesday 5th April 2016 - 11:00 to 11:45

Collection: Stochastic Dynamical Systems in Biology: Numerical Methods and Applications

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Wed 6 Apr 2016


A stochastic story of two receptors and two ligands

   10 views

Molina-Paris, C (University of Leeds)
Thursday 7th April 2016 - 14:00 to 14:45

Collection: Stochastic Dynamical Systems in Biology: Numerical Methods and Applications

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Tue 12 Apr 2016


Absolute robustness in deterministic and stochastic chemical reaction networks

   16 views

Enciso, German A. (University of California, Irvine)
Tuesday 10th May 2016 - 15:00 to 16:00

Collection: Stochastic Dynamical Systems in Biology: Numerical Methods and Applications

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Wed 1 Jun 2016


An analysis of implicit samplers in the small-noise limit

   6 views

Lin, K (University of Arizona)
Wednesday 15th June 2016 - 15:00 to 16:00

Collection: Stochastic Dynamical Systems in Biology: Numerical Methods and Applications

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Mon 18 Jul 2016


Analysis of Monte Carlo estimators for parametric sensitivities in stochastic chemical kinetics

   52 views

Rathinam, M (University of Maryland, Baltimore County)
Tuesday 5th April 2016 - 09:45 to 10:30

Collection: Stochastic Dynamical Systems in Biology: Numerical Methods and Applications

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Wed 6 Apr 2016


Anomalous Diffusion and Random Encounters in Living Systems

   10 views

McKinley, S (Tulane University)
Thursday 23rd June 2016 - 11:00 to 11:45

Collection: Stochastic Dynamical Systems in Biology: Numerical Methods and Applications

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Mon 4 Jul 2016


Approximations for Markov chain models

   35 views

Kurtz, T (University of Wisconsin-Madison)
Monday 4th April 2016 - 09:30 to 10:15

Collection: Stochastic Dynamical Systems in Biology: Numerical Methods and Applications

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Tue 5 Apr 2016


Aspects of bacterial persistence

   12 views

Klumpp, S (Max-Planck-Institut für Kolloid- und Grenzflächenforschung)
Thursday 21st January 2016 - 15:30 to 16:15

Collection: Stochastic Dynamical Systems in Biology: Numerical Methods and Applications

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Mon 1 Feb 2016


Bayesan Parameter Estimation and Inference Across Scales

   10 views

Somersalo, E (Case Western Reserve University)
Monday 4th April 2016 - 14:45 to 15:30

Collection: Stochastic Dynamical Systems in Biology: Numerical Methods and Applications

Institution: Isaac Newton Institute for Mathematical Sciences

Created: Tue 5 Apr 2016


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