Journal Paper

#66 

@article{Cui2020, title={Proactive Visual and Statistical Analysis of Genomic Data in Epiviz}, author={Zhe Cui and Jayaram Kancherla and Kyle W. Chang and Niklas Elmqvist and Hector Corrada Bravo}, url={https://academic.oup.com/bioinformatics/article-pdf/36/7/2195/50670470/btz883.pdf}, year={2019}, date={2019-11-29}, journal={Bioinformatics}, volume={36}, number={7}, pages={2195--2201}, abstract={In this article, we present Epiviz Feed, a proactive and automatic visual analytics system integrated with Epiviz that alleviates the burden of manually executing data analysis required to test biologically meaningful hypotheses. Results of interest that are proactively identified by server-side computations are listed as notifications in a feed. The feed turns genomic data analysis into a collaborative work between the analyst and the computational environment, which shortens the analysis time and allows the analyst to explore results efficiently.}, keywords={}, }