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Advances in biotechnology have fuelled the generation of unprecedented quantities of data across the life sciences. However, finding individuals who can address such “big data” problems effectively has become a significant research bottleneck. Historically, prize-based contests have had striking success in attracting unconventional individuals who can solve difficult challenges. To determine whether this approach could solve a real “big data” biologic algorithm problem, we used a complex immunogenomics problem as the basis for a two-week online contest broadcast to participants outside academia and biomedical disciplines. Participants in our contest generated over 600 submissions containing 89 novel computational approaches to the problem. Thirty submissions exceeded the benchmark performance of NIH’s MegaBLAST. The best achieved both greater accuracy and speed (x1000). Here we show the potential of using online prize-based contests to access individuals without domain-specific backgrounds to address big data challenges in life sciences.

Prize-based contests can provide solutions to computational biology problems