Our group focuses on:
(1) The development of wet-lab and computational methods for single-cell multi-omics analyses –including genome, epigenome and transcriptome analyses of single cells– using microarray and next-generation sequencing technologies. We furthermore automate these methods using customised liquid handling robotics and microfluidics.
(2) The application of these methods to study the nature, rate and mechanisms of ...
Research in the Laboratory of Computational Biology is focusing on gene and genome regulation, with applications in Drosophila and cancer, and on integrative genomics, developing computational methods for genomic data integration and analysis of next-generation sequence data.
Modern life science research is a highly multidisciplinary endeavor often requiring the joint analysis of highly heterogeneous data sources, such as large-scale single-cell multi-omics datasets, structured ontology-driven annotations, unstructured published literature and imaging data. Using a holistic approach, one can often detect patterns which provide deeper insights into the biological and/or pathophysiological processes under study. ...