Our research focuses on Comparative and Population Genomics. The goal is to disentangle selective and neutral forces that shape genomes. In particular, I develop methods to test and apply evolutionary models to large scale data-sets.
We seek to apply the principles of genome evolution to
- a wide array of species and populations (Humans, Apes, Arabidopsis, cancer cells)
- a wide array of genomic features: SNPs, Transcriptomes, Epigenetic Marks ...
Cancers do not present homogeneous cell populations, but often have complex subclonal structures. Here, we want to develop novel ways to reconstruct clonal evolution in non-solid tumors using single cell transcriptomes.
We want to understand how regulatory elements in the genome evolve. To this end we combine genetic, epigenetic and gene expression data and analyse them from an evolutionary perspective.
With genome scale re-sequencing data allow us to tackle new questions f.e. the detection of life history traits such as sex biases in mating and revisit older questions such as searching for selective sweeps.