This is a Reduction-to-Practice Challenge that requires written documentation and delivery of source code implementing an algorithm that solves the problem. A real-time online scoring utility and leaderboard will be available for this Challenge beginning 13-Feb.
This Challenge seeks innovative algorithms to analyze samples that contain mixed segments of genetic sequence from next-generation sequencing instruments and report the identities of each organism represented in the sample and characterization of all non-host organisms. Technical details and requirements are available in the full description.
Submissions to the Challenge must include the following:
The award is contingent upon evaluation and validation of the submitted Solutions by the Seeker. During the evaluation period, the Seeker will validate top-scoring submissions using additional data similar to the test data provided in the Challenge.
To receive an award, Solvers will be required to grant the Seeker full rights for use by U.S. Government agencies and affiliates in the form of an irrevocable, worldwide, perpetual, royalty-free, non-exclusive license to distribute, display, modify, and reproduce any portion of the submission. Intellectual property rights for commercial applications are NOT desired by the Seeker, and therefore will remain with respective authors/inventors. In addition, the Solver will retain rights to publish or release the submission as open source if the Solver desires. The solution must outscore the Benchmark solution being run by the Seeker to receive an award.
Employees, Faculty, Students, and Affiliates (as determined by DTRA) of the Massachusetts Institute of Technology are not eligible to participate in this DTRA Algorithm Challenge (Challenge ID 9933138).
About the Seeker:
This Challenge is sponsored by the U.S. Government’s Defense Threat Reduction Agency (DTRA). DTRA’s mission is to make the world safer by reducing the threat of weapons of mass destruction.
This work is sponsored by the Defense Threat Reduction Agency under Air Force Contract #FA8721-05-C-0002. Opinions, interpretations, recommendations and conclusions are those of the authors and are not necessarily endorsed by the United States Government.
An InnoCentive RTP (Reduction to Practice) Challenge is a prototype that proves an idea, and is similar to an InnoCentive Theoretical Challenge in its high level of detail. However, an RTP requires the Solver to submit a validated solution, either in the form of original data or a physical sample. Also the Seeker is allowed to test the proposed solution.