Institute for Computer Science, University of Freiburg
Computer Science Seminar Room, G1.15
In the talk, I will highlight the opportunities for special-purpose inductive databases in bioinformatics and predictive toxicology. Inductive databases are databases that can not only be queried for the data, but also for the patterns and regularities that hold in it. A recent development is the Molecular Feature Miner (MolFea), an inductive database that can be used to find linear molecular fragments of interest, given some dataset of chemical compounds. MolFea has been successfully applied to a number of interesting problems in Predictive Toxicology and to a large dataset of HIV data. Finally, extensions of MolFea and another instantiation of the inductive database framework for protein data will be presented.