@article {49602,
	title = {Epiviz: interactive visual analytics for functional genomics data.},
	volume = {11},
	year = {2014},
	month = {2014 Sep},
	pages = {938-40},
	abstract = {<p>Visualization is an integral aspect of genomics data analysis. Algorithmic-statistical analysis and interactive visualization are most effective when used iteratively. Epiviz (http://epiviz.cbcb.umd.edu/), a web-based genome browser, and the Epivizr Bioconductor package allow interactive, extensible and reproducible visualization within a state-of-the-art data-analysis platform.</p>},
	keywords = {algorithms, Chromosome mapping, Data Mining, database management systems, Databases, Genetic, Genomics, Internet, software, User-Computer Interface},
	issn = {1548-7105},
	doi = {10.1038/nmeth.3038},
	author = {Chelaru, Florin and Smith, Llewellyn and Goldstein, Naomi and Bravo, H{\'e}ctor Corrada}
}
