scater
This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, see scater.
Single-Cell Analysis Toolkit for Gene Expression Data in R
Bioconductor version: 3.11
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, cre], Kieran Campbell [aut], Aaron Lun [aut, ctb], Quin Wills [aut], Vladimir Kiselev [ctb]
Maintainer: Davis McCarthy <davis at ebi.ac.uk>
citation("scater")
):
Installation
To install this package, start R (version "4.0") 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 | ||
NEWS | Text |
Details
biocViews | Coverage, DataImport, DataRepresentation, DimensionReduction, GeneExpression, ImmunoOncology, Infrastructure, Normalization, Preprocessing, QualityControl, RNASeq, Sequencing, SingleCell, Software, Transcriptomics, Visualization |
Version | 1.16.2 |
In Bioconductor since | BioC 3.3 (R-3.3) (8 years) |
License | GPL-3 |
Depends | SingleCellExperiment, ggplot2 |
Imports | BiocGenerics, SummarizedExperiment, Matrix, ggbeeswarm, rlang, grid, DelayedArray, DelayedMatrixStats, methods, S4Vectors, stats, utils, viridis, Rcpp, BiocNeighbors, BiocSingular, BiocParallel |
System Requirements | C++11 |
URL | http://bioconductor.org/packages/scater/ |
Bug Reports | https://support.bioconductor.org/ |
See More
Suggests | BiocStyle, BiocFileCache, biomaRt, beachmat, cowplot, destiny, knitr, scRNAseq, robustbase, rmarkdown, Rtsne, uwot, NMF, testthat, pheatmap, Biobase, limma, DropletUtils |
Linking To | Rcpp, beachmat |
Enhances | |
Depends On Me | netSmooth |
Imports Me | batchelor, CATALYST, celda, CellMixS, distinct, muscat, netDx, peco, scDblFinder, scPipe, scran, Spaniel, spatialLIBD, splatter |
Suggests Me | CellTrails, CiteFuse, DuoClustering2018, fcoex, HCAData, iSEE, iSEEu, M3Drop, MAST, mbkmeans, monocle, muscData, SC3, scds, schex, scHOT, scMerge, simpleSingleCell, SingleR, slalom, SummarizedBenchmark, TabulaMurisData, waddR |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | scater_1.16.2.tar.gz |
Windows Binary | scater_1.16.2.zip (32- & 64-bit) |
macOS 10.13 (High Sierra) | scater_1.16.2.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/scater |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/scater |
Bioc Package Browser | https://code.bioconductor.org/browse/scater/ |
Package Short Url | https://bioconductor.org/packages/scater/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.11 | Source Archive |