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.
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Main publications 2019
- Kosiol C and Anisimova M
Selection Acting on Genomes
Evolutionary Genomics, doi: 10.1007/978-1-4939-9074-0_12 - Tørresen OK et al.
Tandem repeats lead to sequence assembly errors and impose multi-level challenges for genome and protein databases
Nucleic Acids Research, doi: 10.1093/nar/gkz841 - Sima AC et al.
Enabling semantic queries across federated bioinformatics databases
Database, doi: 10.1093/database/baz106
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