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README.md
## SCONE ## [![Project Status: WIP - Initial development is in progress, but there has not yet been a stable, usable release suitable for the public.](http://www.repostatus.org/badges/latest/wip.svg)](http://www.repostatus.org/#wip) [![Build Status](https://travis-ci.org/YosefLab/scone.svg?branch=master)](https://travis-ci.org/YosefLab/scone) [![Coverage](https://codecov.io/gh/YosefLab/scone/branch/master/graph/badge.svg)](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 is currently under consideration in Bioconductor and hence requires R-devel (>= 3.4) and Bioconductor devel. You can download the latest release of SCONE for R 3.3 [here](https://github.com/YosefLab/scone/releases/tag/v0.99.0).