Stochastic dynamical modelling for prokaryotic gene regulatory networks

Project Details

Description

StoMP is a BBSRC MATSYB research network. The aim of this network is to create a strong UK research community at the mathematics/physical science/microbiology interface, in the area of stochastic dynamical modelling of gene regulation.

The aims of StoMP are to:

* organise a series of research and dissemination-focused workshops
* run a website and mailing list to co-ordinate UK efforts in this area
* provide funding for a number of collaborative research visits between network members
* create new research collaborations, especially between microbiologists and modellers, leading to collaborative publications over a 3-year timescale
* prepare several collaborative grant applications to BBSRC and EPSRC over a 3-year timescale

Our research objectives are to:

* bring together UK microbiologists, mathematicians and physical scientists, to use stochastic dynamical modelling for "real-life" problems pertaining to bacterial response and behaviour — specifically, contribute to understanding stochastic effects in gene regulation in response to environmental stresses, in communal living (biofilm formation and quorum sensing) and in gene transfer (especially plasmid regulation)
* encourage microbiologists to make measurements that can be directly used to test models for stochastic gene expression — advance existing techniques and develop new ones in stochastic dynamical modelling, through sharing of expertise between modellers

Our dissemination objectives are to:

* disseminate stochastic dynamical modelling to relevant scientific communities, including biologists, mathematicians, computer scientists and physicists
* disseminate cutting-edge software for stochastic simulation
* increase links with the overseas research community in this area by inviting overseas researchers to workshops and other events
* increase links with the UK health-care and food industries by inviting representatives to participate in network workshops

Key findings

The aim of this project was not to generate new research findings but rather to create a new community at the microbiology-modelling interface. To this end, we organised 2 large conferences, 4 smaller focused workshops and 2 training-based summer schools, as well as setting up a website and mailing list.
The collaborations and interactions generated by our network contributed to 22 research papers by network members as well as numerous successful grant applications.
AcronymStoMP
StatusFinished
Effective start/end date1/02/0831/01/11

Funding

  • BBSRC: £31,062.00