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Rail-dbGaP: a protocol and tool for analyzing protected genomic data in a commercial cloud
Abhinav Nellore, Christopher Wilks, Kasper D Hansen, Jeffrey T Leek, Ben Langmead
doi: https://doi.org/10.1101/035287
Abhinav Nellore
1Department of Computer Science, Johns Hopkins University, 3400 N Charles St, Baltimore MD, 21218,
2Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, Baltimore MD, 21205,
3Center for Computational Biology, Johns Hopkins University, 1900 E Monument St, Baltimore, MD 21205
Christopher Wilks
1Department of Computer Science, Johns Hopkins University, 3400 N Charles St, Baltimore MD, 21218,
3Center for Computational Biology, Johns Hopkins University, 1900 E Monument St, Baltimore, MD 21205
Kasper D Hansen
2Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, Baltimore MD, 21205,
3Center for Computational Biology, Johns Hopkins University, 1900 E Monument St, Baltimore, MD 21205
Jeffrey T Leek
2Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, Baltimore MD, 21205,
3Center for Computational Biology, Johns Hopkins University, 1900 E Monument St, Baltimore, MD 21205
Ben Langmead
1Department of Computer Science, Johns Hopkins University, 3400 N Charles St, Baltimore MD, 21218,
2Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, Baltimore MD, 21205,
3Center for Computational Biology, Johns Hopkins University, 1900 E Monument St, Baltimore, MD 21205
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Posted December 24, 2015.
Rail-dbGaP: a protocol and tool for analyzing protected genomic data in a commercial cloud
Abhinav Nellore, Christopher Wilks, Kasper D Hansen, Jeffrey T Leek, Ben Langmead
bioRxiv 035287; doi: https://doi.org/10.1101/035287
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