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SCONE

Project Status: WIP - Initial development is in progress, but there has not yet been a stable, usable release suitable for the public. Build Status Coverage

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

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. To update Bioconductor to its latest release, follow the instructions here.