Pathways and biological systems modelling group

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Welcome!

Our group focuses on the development of mathematical and computational models of biological systems. The rapid development of 'omics' technologies has led to ever increasing amounts of biological data being collected at the scale of entire cells. A key challenge for biology is now to integrate and exploit this wealth of information to advance toward a global understanding of biological functions. The field of systems biology seeks to explain biological phenotypes by the construction of models embedding detailed knowledge of the quantities, dynamics and interactions between intracellular compounds.

We use a variety of methods ranging from network analysis, constraint-based and logical modelling, to kinetic and dynamic simulation. We actively engage in interdisciplinary collaborations with biologists, enabling us to carry out experiments to inform the construction of models and address major biological challenges.

We are part of the Faculty of Biology, Medicine and Health at the University of Manchester.

See an overview of our projects, members and publications.

News

11 April 2018: Petronela Buiga's article on Boolean modelling of phosphatase regulation in breast cancer was presented at the 16th Asia Pacific Bioinformatics Conference and is published in BMC Systems Biology.

12 February 2018: Jamie Soul's article on the stratification of knee osteoarthritis using RNA-seq expression analysis is published in Annals of the Rheumatic Diseases.

29 September 2017: Steve Chapman's article on the role of metabolic cycles in the downregulation of photosynthesis is published in Biosystems. This work is the result of a joint project with LNCC in Brazil.

12 January 2017: Petronela Buiga has been awarded The Romanian Ambassador's Diploma for Research in recognition of her PhD work on systems biology of MAPK regulation applied to breast cancer.

15 December 2016: Jamie Soul's PhenomeScape paper is published in Bioinformatics.

3 May 2016: Joe Hetmanski's article which features a logical model of signalling pathways driving cancer cell migration is published in PLoS Computational Biology.