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- February 1, 2022.
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- Version 1 (October 14, 2021 - 07:45).
- You are viewing Version 2, the most recent version of this article.
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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Author Information
- Adina S. Wagner1,†,*,
- Laura K. Waite1,†,
- Małgorzata Wierzba1,2,†,
- Felix Hoffstaedter1,
- Alexander Q. Waite1,
- Benjamin Poldrack1,
- Simon B. Eickhoff1,3 and
- Michael Hanke1,3
- 1Institute of Neuroscience and Medicine, Brain & Behaviour (INM-7), Research Center Jülich, Jülich, Germany
- 2Laboratory of Brain Imaging, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Warsaw, Poland
- 3Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- ↵*corresponding author: adina.wagner{at}t-online.de
↵† these authors contributed equally and are listed in alphabetical order
Posted February 01, 2022.
FAIRly big: A framework for computationally reproducible processing of large-scale data
