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Warwick Systems Biology Centre (WSB) represents an £11m investment by the University of Warwick to create an autonomous centre to capitalise on strengths in multidisciplinary research, funding 12 new staff, purpose designed accommodation, and experimental and computing equipment. The WSB has a huge range of projects, across seven Scientific Research Themes, which enables unique interactions between researchers of different disciplines both at the University of Warwick and with collaborators at a wide range of research insititutions. You might also like to see our past research pages.
As an interdisciplinary centre, WSB collaborates with many other departments within the University of Warwick, and with many external institutions. Indeed, several of the centre's academic staff hold joint apppointments with other departments.
To view some of our recent publications, click here.
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WSB's Scientific Research Themes
- Projects involve the development of tailor-made software tools for the analysis and interpretation of data, such as transcriptional profiles and time series imaging data. Modelling includes tools for deducing network parameters, structure and dynamics, and parameter reduction.
- Experimental approaches include, microarray techniques and biological imaging
- Mathematical approaches include novel Bayesian hierachical clustering methods, Gaussian and heavy-tail noise models, linear and non-linear models, hidden variable and augmentation models
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- Projects include Reproductive Medicine, Energy Balance Regulation, Vascular Health and Ageing, Thiamine Metabolism and Diabetes, Preganglionic Motor Neurones, and Nitric Oxide Biology
- Experimental approaches include electrophysiology, confocal microscopy, fluorescence imaging
- Mathematical approaches include modelling of neuroendocrine control, and pharmokinetic modelling
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- Projects include Natural Killer Cell Signalling, Actin Dynamics, and Single Cell Tracking in High Throughput Experiments
- Experimental approaches include confocal imaging, single cell protein dynamics
- Mathematical approaches include quantitiative image analysis, mechanistic modelling, and statistical methods to analyse spatio-temporal dynamics
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- Projects include Global Metabolic switching in Streptomyces coelicolor
- Experimental approaches include microarray analysis
- Mathematical approaches include cluster analysis, and network inference
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- Projects include the Dynamics and Function of the NF-κB Signalling System, and Eukaryotic G Protein Signalling
- Biological approaches include cell imaging, proteomics, chromatin immunoprecipitation, RT-PCR and microarray analysis
- Mathematical approaches stochastic and deterministic modelling, and the developments of data analysis tools
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- Projects include Responses to Environmental Stress, Regulation of Gene Expression by the Circadian Clock, Regulation of Signalling by Temperature, and Agronomics
- Experimental approaches include functional genomics, identification of transcription factor binding sites, and proteomics
- Mathematical approaches include Bayesian state space modelling, transcription modelling, and experimental prediction
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- Projects include studies of memory formation, hormone homeostasis, Parkinson's disease and ageing
- Experimental approaches include electrophysiology and imaging
- Mathematical approaches include stochastic modellling, modelling of reduced neurones and network dynamics
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- Projects include Understanding cis-Regulatory Information Processing in Stem Cells
- Biological approaches include live cell imaging and correlation of chromatin structure will cis-regulatory module activity in cell culture
- Computational approaches include comparative genomics and modelling of transcription rates
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