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.
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Cydney B. Nielsen, Hamid Younesy, Henriette O’Geen, Xiaoqin Xu, Andrew R. Jackson, Aleksandar Milosavljevic, Ting Wang, Joseph F. Costello, Martin Hirst, Peggy J. Farnham, Steven J.M. Jones.
Spark: A navigational paradigm for genomic data exploration.
Genome Research. 2012 Nov;22(11):2262-9.