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Date(s) - 30/10/2012
3:30 pm - 4:00 pm

SGDP seminar room


Two network analysis approaches for the identification of disease associated genes

I will describe two protein/gene network analysis methods that we have developed for the identification of disease associated genes. While BioGranat-IG aims to identify related genes carrying functional mutations for a number of patients, region growing analysis (RGA) aims to identify de-novo subnetworks associated with complex phenotypes. I will present some “worked” examples demonstrating the utility of either approach.




Research Interests

  • Bioinformatics of gene and protein-protein interaction networks
  • analysis of gene function and prediction of disease genes
  • visualisation and analysis of biological networks (in collaboration with Prof Volker Ahlers at the Fachhochschule Hannover, Germany)
  • analysis and simulation of phage lambda (in collaboration with Dr Alvis Brazma at the EBI

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