The growth of genome data and computational requirements overwhelm the
capacity of servers. Many institutions and the NIH are considering cloud computing
services as a cost-effective alternative to scale up research. Privacy and security are
major concerns when deploying cloud-based data analysis tools. In the past few years,
secure computation methods have had significant performance improvement but it is still
not clear if they are applicable to biomedical challenges involving big data. The goal
of this challenge is to evaluate the performance of state-of-the-art methods that ensure
rigorous data confidentiality during data analyses in a cloud
environment.
Interested participants please first register through our registration page. Further announcement on the competition datasets will be sent to registered teams. Workshop registration will be added later.
Interested participants please first register through our registration page. Further announcement on the competition datasets will be sent to registered teams. Workshop registration will be added later.