Bioinformatics and Neuroinformatics

In the Bioinformatics research team of the Bioinformatics and Neuroinformatics group, we develop methods for enhancing inference on new functional genomics data with the data and background knowledge accumulating into community-resource databanks. Our current pilot projects are on neurotrophic factors, cancer, yeast systems biology, and human endogenous retroviruses. The methods focus on relevant aspects of data and relevant samples. The relevance is inferred from interrelationships between data sets.

We also apply probabilistic dynamical models to systems biology, especially to modelling gene transcription regulation.

See additionally Bioinformatics at the Laboratory of Computer and Information Science.