What 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 2018
- Maiolo M et al.
Progressive multiple sequence alignment with indel evolution.
BMC Bioinfo, doi: 10.1186/s12859-018-2357-1 - Mattle-Greminger M P et al.
Genomes reveal marked differences in the adaptive evolution between orangutan species.
Genome Biol, https://doi.org/10.1186/s13059-018-1562-6 - Garcia V et al.
Accounting for programmed ribosomal frameshifting in the computation of codon usage bias indices.
G3 (Bethesda), doi: 10.1534/g3.118.200185
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