New approaches to genomic analysis, such as next-generation sequencing, will play key roles in advancing scientific knowledge, facilitating the development of targeted drugs and delivering personalized healthcare. To capitalize on these new approaches, life sciences organizations need computing environments that can process tremendous amounts of data rapidly. Speed of analy-sis is critical in life sciences since it relates directly to the rate of discovery and the cost-efficiency of employing genomic sequenc-ing for personalized medicine on a large scale. Contrail, a bioinformatics application, leverages the Hadoop MapReduce framework to deliver gains in performance and cost-efficiency in genome sequencing. By combining Contrail with IBM® Platform™ Symphony, a commercial workload scheduler and grid manager, researchers can see even greater advantages. This paper presents the results of recent benchmark testing that demonstrate the advantages of using Platform Symphony in conjunction with Contrail.
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