## SCONE ##
[](http://www.repostatus.org/#active)
[](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.
### Install from Bioconductor ###
We recommend installation of the package via bioconductor.
```{r}
source("https://bioconductor.org/biocLite.R")
biocLite("scone")
```
Note that SCONE is currently in Bioconductor devel and hence requires R-devel (>= 3.4).
### Install from Github ###
Usually not recommended. SCONE is under active development. To download the development version of the package, use the `devtools` package.
```{r}
library(devtools)
install_github("YosefLab/scone")
```
### Install for R 3.3 ###
You can download the latest release of SCONE for R 3.3 [here](https://github.com/YosefLab/scone/releases/tag/v0.99.0).
