# scBubbletree [](https://www.bioconductor.org/packages/devel/bioc/html/scBubbletree.html#archives) [](https://www.bioconductor.org/packages/scBubbletree) ## Overview Single cell RNA sequencing has revolutionized biological research by allowing us to interrogate the expression of thousands of genes at single cell resolution. The rapid growth of scRNA-seq data has also created an unique set of challenges, for instance, how can we perform *visual exploration* of this massive data in order to extract useful biological information from our scRNA-seq samples. scBubbletree was designed to overcome challenges associated with the rapid growth of the scale of scRNA-seq datasets, such as *overplotting*, and to accurately preserve the local and global structure of the data. The workflow of scBubbletree is easy-to-use and allows seamless integration with popular approaches for scRNA- seq data analysis. ## How to use scBubbletree scBubbletree is an R-package available from Bioconductor: https://bioconductor.org/packages/scBubbletree/ (coming soon) To install this package, start R and enter: ```r if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("scBubbletree") ``` Multiple case studies are provided in the directory /vignettes ## Workflow & output