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scater

This package is for version 3.21 of Bioconductor; for the stable, up-to-date release version, see scater.

Single-Cell Analysis Toolkit for Gene Expression Data in R


Bioconductor version: 3.21

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

Author: Davis McCarthy [aut], Kieran Campbell [aut], Aaron Lun [aut, ctb], Quin Wills [aut], Vladimir Kiselev [ctb], Felix G.M. Ernst [ctb], Alan O'Callaghan [ctb, cre], Yun Peng [ctb], Leo Lahti [ctb] ORCID iD ORCID: 0000-0001-5537-637X , Tuomas Borman [ctb] ORCID iD ORCID: 0000-0002-8563-8884

Maintainer: Alan O'Callaghan <alan.ocallaghan at outlook.com>

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

Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
 install.packages("BiocManager")
BiocManager::install("scater")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("scater")
Overview of scater functionality HTML R Script
Reference Manual PDF
NEWS Text

Details

Version 1.36.0
In Bioconductor since BioC 3.3 (R-3.3) (9.5 years)
License GPL-3
System Requirements
See More
Linking To
Enhances
Depends On Me chevreulProcess, netSmooth, OSCA.advanced, OSCA.basic, OSCA.intro, OSCA.multisample, OSCA.workflows, SingleRBook
Links To Me
Build Report Build Report

Package Archives

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

Source Package scater_1.36.0.tar.gz
Windows Binary (x86_64) scater_1.36.0.zip
macOS Binary (x86_64) scater_1.36.0.tgz
macOS Binary (arm64) scater_1.35.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/scater
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/scater
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