Cloud computing is often adopted to process big data for genome analysis due to its elasticity and pay-asyou-go features. In this paper, we present SCAN, a smart application platform to facilitate parallelization of big genome analysis in clouds. With a knowledge base and an intelligent application scheduler, the SCAN enables better understanding of bio-applications' characteristics, and helps to orchestrate huge, heterogeneous tasks efficiently and cost-effectively. We conducted a simulation study and found that the SCAN platform is able to improve the performance of genome analysis and reduce its cost in a wide variety of circumstances.