What do we do?
The Applied Computational Genomics Team focuses on theoretical and computational aspects of modelling the process of genome evolution and adaptive change. With the growing size and complexity of molecular data, we strive to keep pace by providing accurate, scalable and practical computational solutions that enable a wide range of scientists to analyse patterns of evolution and natural selection in large genomic and omics data. We develop bioinformatic methods for real applications, ranging from biotechnology to biomedical research, ecology and agriculture.
Main publications 2017
- Nater et al. Morphometric, behavioral and genomic evidence for a new orangutan species, Current Biology, 2017; 27: 3487.
- Maiolo et al. Progressive multiple sequence alignment with the Poisson indel process. BioRxiv, 2017.
- Gatti et al. Cross-reactive immunity drives global oscillation and opposed alternation patterns of seasonal influenza A viruses. BioRxiv, 2017.