To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("scater")

In most cases, you don't need to download the package archive at all.

scater

DOI: 10.18129/B9.bioc.scater

Single-cell analysis toolkit for gene expression data in R

Bioconductor version: Release (3.5)

A collection of tools for doing various analyses of single-cell RNA-seq gene expression data, with a focus on quality control.

Author: Davis McCarthy

Maintainer: Davis McCarthy <davis at ebi.ac.uk>

Citation (from within R, enter citation("scater")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("scater")

Documentation

HTML R Script An introduction to the scater package
PDF Reference Manual
Text NEWS

Details

Version 1.4.0
In Bioconductor since BioC 3.3 (R-3.3) (1.5 years)
License GPL (>= 2)
Depends R (>= 3.3), Biobase, ggplot2, methods
LinkingTo
SystemRequirements
Enhances
Depends On Me scran, splatter
Imports Me Glimma, SC3
Suggests Me switchde

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package scater_1.4.0.tar.gz
Windows Binary scater_1.4.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) scater_1.4.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/scater
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