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Linking big biomedical datasets to modular analysis with Portable Encapsulated Projects
View ORCID ProfileNathan C. Sheffield, View ORCID ProfileMichał Stolarczyk, View ORCID ProfileVincent P. Reuter, View ORCID ProfileAndré F. Rendeiro
doi: https://doi.org/10.1101/2020.10.08.331322
Nathan C. Sheffield
1Center for Public Health Genomics, University of Virginia
2Department of Public Health Sciences, University of Virginia
3Department of Biomedical Engineering, University of Virginia
4Department of Biochemistry and Molecular Genetics, University of Virginia
Michał Stolarczyk
1Center for Public Health Genomics, University of Virginia
Vincent P. Reuter
1Center for Public Health Genomics, University of Virginia
5Genomics and Computational Biology Graduate Group, University of Pennsylvania
André F. Rendeiro
6Institute for Computational Biomedicine, Weill Cornell Medical College
7Caryl and Israel Englander Institute for Precision Medicine, Weill Cornell Medical College
Posted October 08, 2020.
Linking big biomedical datasets to modular analysis with Portable Encapsulated Projects
Nathan C. Sheffield, Michał Stolarczyk, Vincent P. Reuter, André F. Rendeiro
bioRxiv 2020.10.08.331322; doi: https://doi.org/10.1101/2020.10.08.331322
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