- The Department
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Biomedicine can only be understood in the context of genomics and with the concourse of bioinformatics. Our department aims to tackle biomedical problems from a system's biology perspective. Following this, the general objective we seek through the main lines of research is to relate mutations to their effect at both cellular and phenotypic level trying to understand the underlying mechanism of action.
Genes operate within an intricate network of interactions that we have only recently started to envisage. Many higher-order levels of interaction are continuously being discovered. In this scenario we are interested in developing methods and tools which can help to understand large-scale experiments from a systems biology perspective.
Our research focusses on the dynamics and functional aspects of gene expression on the genome scale. We develop statistical approaches for the analysis of multifactorial and time-course gene expression data, focussing on their integration with functional and phenotipic data. Currently, we use Next Generation Sequencing methodologies to analyze the relationship between gene expression and genomics features. We strive to generate user-friendly tools that can routinely be use in experimental labs.