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Life Sciences Informatics Research Group

Research Topics

  • Clustering in bioinformatics: cluster analysis and interpretation of biomolecular and gene expression data (Boris Mirkin)
  • Combinatorial models for representation of complex biological data structures (Boris Mirkin, Trevor Fenner, George Loizou)
  • Evolutionary analysis: reconstruction of evolutionary events from genomic data (Boris Mirkin, Trevor Fenner, George Loizou)
  • Integration of biological sequence, structure and function data: data and knowledge management techniques to support the integration, analysis, mining and visualisation of biological data (Nigel Martin, Alex Poulovassilis)
  • Medical informatics: (George Roussos, Eleftheria Katsiri)
  • Microarray data analysis: intelligent technologies for preprocessing and analysis of microarray gene expression data (George Magoulas, Nigel Martin)
  • Proteins localisation: intelligent technologies for the classification of localisation sites of proteins; provides information about each protein that is complementary to the protein sequence and structure data (George Magoulas)