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SCONE

Project Status: Active - The project has reached a stable, usable state and is being actively developed. 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.

Install from Bioconductor

We recommend installation of the package via bioconductor.

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.

library(devtools)
install_github("YosefLab/scone")

Install for R 3.3

You can download the latest release of SCONE for R 3.3 here.

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