Registration Form and License Agreement

Given summary allele frequency data from a genomewide association study, it may be possible to detect if an individual genotype is part of the pool of genotypes used to derive this data by comparing the genotype of that individual to two summary allele frequencies, one from a pool and one from an independent reference dataset. The ability to detect individual genotypes is a function of the size of the pool and the number of SNPs made public (exposed SNPs). The SecureGenome program can be used to choose a set of exposed SNPs so that the ability to detect the presence of individual genotypes in the pooled summary data - as measured by the power of any possible statistical test - remains limited. The description of the mathematical formula standing behind SecureGenome can be found at:

  1. This software is freely available for academic use only. Users interested in commercial applications should contact Dr. Eran Halperin (Email: heran 'AT'
  2. Fill in the application form below. All fields are mandatory.
  3. Read the license agreement and make sure you agree with the terms of the agreement. If so click the Accept button at the end of the form.
Registration / Licensee Subscriber Information:

Title and Position:
PI / Lab Head:

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License Agreement:

The computer software known as SECUREGENOME (`SECUREGENOME' or `The Software') was created and developed in the course of research by Mr. Sriram sankararaman, Dr. Guillaume Obozinski, Dr. Michael I. Jordan, and Dr. Eran Halperin (`The Researchers') at the International Computer Science Institute, Berkeley (`ICSI') and in the University of California, Berkeley. ICSI encourages the use of SECUREGENOME by researchers in academic institutions (`Licensee') for non-commercial research purposes subject to the following terms and conditions: By pressing the `Agreed and Accepted' button, you and your institution agree to be bound by the terms below.

  1. Licensee is hereby granted a non-exclusive, non-transferable license to use SECUREGENOME for the sole purpose of performing non-commercial academic research. Such research shall not include research sponsored by a commercial entity.
  2. For the avoidance of doubt it is hereby clarified that the license to use SECUREGENOME as aforesaid does not include any obligation or undertaking to supply any accompanying services or improvements.
  3. Licensee agrees not to distribute or transfer SECUREGENOME or any portion, copies or derivatives thereof, to another location or to any third party.
  4. Licensee agrees not to make any copies except as necessary for his exercise of this license in his own laboratory. Any copy shall bear an appropriate copyright notice specifying the above-mentioned authors and proprietor.
  5. Licensee agrees not to decompile, reverse engineer, disassemble, modify and /or create derivative works of the software.
  6. Licensee acknowledges that SECUREGENOME is a research tool, still in the development stage. Hence, it is not presented as error free, accurate, complete, useful, suitable for any specific application or free from any infringement of any rights. The Software is licensed AS IS, entirely at the Licensee's own risk.
  7. Nothing in this Agreement shall be deemed to be a warranty or representation by ICSI or the Researchers, in connection with SECUREGENOME and its use, including, without limiting the generality of the aforesaid, as to the accuracy, safety or fitness for any particular use.
  8. The software is provided "as is", without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, accuracy, fitness for a particular purpose and noninfringement. In no event shall the authors or copyright holders of SECUREGENOME (including ICSI and the researchers) be liable for any claim, damages or other liability, whether in an action of contract, tort or otherwise, arising from, out of or in connection with the software or the use or other dealings in the software.


This web-site is based upon work supported by the National Science Foundation under Grant No. 0513599. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.