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Spark is a discovery tool intended to help you explore the patterns in your genome-wide data. While genome browsers offer a powerful means to integrate diverse data types, their view is inherently limited to individual genomic loci and it can be difficult to obtain a global overview of the predominant data patterns. To address this need, we developed Spark, which enables interactive data clustering and visualization, and serves as a complement to genome browsing.
The tool clusters data from a set of user defined regions. Through its Java-based visualization interface, a user can then interactively explore and refine the contents of each cluster and drill down to inspect the individual members. The software also integrates with popular web resources, for example, the UCSC genome browser and the DAVID gene ontology resource.