SimBenchData
SimBenchData: a collection of 35 single-cell RNA-seq data covering a wide range of data characteristics
Bioconductor version: Release (3.17)
The SimBenchData package contains a total of 35 single-cell RNA-seq datasets covering a wide range of data characteristics, including major sequencing protocols, multiple tissue types, and both human and mouse sources.
Author: Yue Cao [aut, cre], Pengyi Yang [aut], Jean Yee Hwa Yang [aut]
Maintainer: Yue Cao <ycao6928 at uni.sydney.edu.au>
citation("SimBenchData")
):
Installation
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("SimBenchData")
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("SimBenchData")
SimBenchData: a collection of single-cell RNA-seq data covering a wide range of data characteristics | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
biocViews | ExperimentData, ExperimentHub, RNASeqData, SequencingData, SingleCellData, Tissue |
Version | 1.8.0 |
License | GPL-3 |
Depends | ExperimentHub |
Imports | S4Vectors, utils |
Linking To | |
Suggests | BiocStyle, knitr, rmarkdown, Seurat |
System Requirements | |
Enhances | |
URL |
See More
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | SimBenchData_1.8.0.tar.gz |
Windows Binary | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/SimBenchData |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/SimBenchData |
Package Short Url | https://bioconductor.org/packages/SimBenchData/ |
Package Downloads Report | Download Stats |