Our research is focused on development and application of computational methods and tools for the analysis of molecular biology data.
The traditional focus of the group is on methods for the discovery of recurring patterns and unexpected correlations that may be of biological significance – having developed methods for the automatic discovery of patterns in sequences, protein structures, regulatory motifs, and gene expression data.
Current research include integrative bioinformatics, analysis of cancer omics data and comparative genomics.
