Although the importance of machine learning methods in genome research has grown steadily in recent years, researchers have often had to resort to using obsolete software.

This will change with the new free open access repository: Kipoi enables an easy exchange of machine learning models in the field of genome research.

The repository was created by Julien Gagneur, Assistant Professor of Computational Biology at the TUM, in collaboration with researchers from the University of Cambridge, Stanford University, the European Bioinformatics Institute (EMBL-EBI) and the European Molecular Biology Laboratory (EMBL).

"What makes Kipoi special is that it provides free access to machine learning models that have already been trained," says Julien Gagneur.

These models are ready to use, because all the cumbersome work of applying them to data has already been done," says Anshul Kundaje, Assistant Professor at Stanford.

More than 2,000 trained models are currently freely accessible on Kipoi.

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