PRINCESS specifications

Information


Unique identifier OMICS_19823
Name PRINCESS
Alternative name Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS
Software type Framework/Library
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Maintained Yes

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Maintainers


  • person_outline Wang S. <>
  • person_outline Feng Chen <>

PRINCESS article

PRINCESS institution(s)
Health System Department of Biomedical Informatics, La Jolla, CA, USA; Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA; Department of Computer Science and Informatics, Indiana University, Bloomington, IN, USA; Department of Pediatrics, University of California San Diego, La Jolla, CA, USA; Section of Pediatrics, Imperial College London, London, UK; Genome Institute of Singapore, ASTAR, Singapore, Singapore; Department of Pediatrics, School of Medicine, Emory University, Atlanta, GA, USA; J. Craig Venter Institute, La Jolla, CA, USA; Department of Psychiatry, University of California San Diego, La Jolla, CA, USA; School of Law, University of San Diego, San Diego, CA, USA; Cryptography Group, Microsoft Research, San Diego, CA, USA
PRINCESS funding source(s)
Supported by NIH through grants R00HG008175, NLM R01HG007078, R21LM012060 and U54HL108460

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