## SCONE ##
[](http://www.repostatus.org/#wip)
[](https://travis-ci.org/YosefLab/scone)
[](https://codecov.io/gh/YosefLab/scone)
### Single-Cell Overview of Normalized Expression data ###
SCONE (Single-Cell Overview of Normalized Expression), a package for single-cell RNA-seq data quality control (QC) and normalization. This data-driven framework uses summaries of expression data to assess the efficacy of normalization workflows.
### To Install ###
The easiest way to install the package is to type in R
```{r}
source("https://bioconductor.org/biocLite.R")
biocLite("devtools")
biocLite("YosefLab/scone", dependencies=TRUE)
```
Note that SCONE requires R (>= 3.3) and Bioconductor (>= 3.3). You can download the latest version of R from [CRAN](https://cran.r-project.org). To update Bioconductor to its latest release, follow the instructions [here](https://www.bioconductor.org/install/#update-bioconductor-packages).
