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Nat Biotechnol. 2019 Jun;37(6):592-600. doi: 10.1038/s41587-019-0140-0.

The Kipoi repository accelerates community exchange and reuse of predictive models for genomics.

Author information

1
Department of Informatics, Technical University of Munich, Garching, Germany. avsec@in.tum.de.
2
Graduate School of Quantitative Biosciences (QBM), Ludwig-Maximilians-Universität München, Munich, Germany. avsec@in.tum.de.
3
Department of Haematology, University of Cambridge, Cambridge, UK.
4
European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.
5
Biophysics Program, Stanford University, Stanford, CA, USA.
6
Department of Computer Science, Stanford University, Stanford, CA, USA.
7
Department of Informatics, Technical University of Munich, Garching, Germany.
8
Graduate School of Quantitative Biosciences (QBM), Ludwig-Maximilians-Universität München, Munich, Germany.
9
Physics Department, Stanford University, Stanford, CA, USA.
10
Biomedical Informatics Program, Stanford University, Stanford, CA, USA.
11
Division for Computational Genomics & Systems Genetics, German Cancer Research Center, Heidelberg, Germany.
12
European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany.
13
Department of Computer Science, Stanford University, Stanford, CA, USA. akundaje@stanford.edu.
14
Department of Genetics, Stanford University, Stanford, CA, USA. akundaje@stanford.edu.
15
European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK. oliver.stegle@embl.de.
16
Division for Computational Genomics & Systems Genetics, German Cancer Research Center, Heidelberg, Germany. oliver.stegle@embl.de.
17
European Molecular Biology Laboratory, Genome Biology Unit, Heidelberg, Germany. oliver.stegle@embl.de.
18
Department of Informatics, Technical University of Munich, Garching, Germany. gagneur@in.tum.de.
PMID:
31138913
DOI:
10.1038/s41587-019-0140-0

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