Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.08.28.270652v1?rss=1 Authors: Li, K., Ouyang, Z., Lin, D., Mingueneau, M., Chen, W., Sexton, D., Zhang, B. Abstract: To meet the growing demands from scientists to effectively extract deep insights from single cell RNA-seq datasets, we developed cellxgene VIP, a frontend interactive visualization plugin to cellxgene framework, which directly interacts with in-memory data to generate a comprehensive set of plots in high resolution, perform advanced analysis, and make data downloadable for further analysis. It makes large scale scRNA-seq data visualization and analysis more accessible and reproducible with the potential to become an ecosystem for the scientific community to contribute even more modules to the Swiss knife of scRNA-seq data exploration tool. Copy rights belong to original authors. Visit the link for more info