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Nature Research, Nature Methods, 9(11), p. 938-940, 2014

DOI: 10.1038/nmeth.3038

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Epiviz: interactive visual analytics for functional genomics data

Journal article published in 2014 by Florin Chelaru, Llewellyn Smith, Naomi Goldstein, Héctor Corrada Bravo
This paper is available in a repository.
This paper is available in a repository.

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Abstract

Visualization is an integral aspect of genomics data analysis where the output of procedures performed in computing environments like Bioconductor is often visualized. Algorithmic-statistical analysis and interactive visualization are usually disjoint but are most effective when used iteratively. We introduce tools that provide this tight-knit integration: Epiviz (http://epiviz.cbcb.umd.edu), a web-based genome browser, and the Epivizr Bioconductor package allowing interactive, extensible and reproducible visualization within a state-of-the-art data analysis platform.