# Splatter
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![Splatter logo](vignettes/splatter-logo-small.png)
Splatter is an R package for the simple simulation of single-cell RNA sequencing data.
Splatter provides a common interface to multiple simulations that have:
* Functions for estimating simulation parameters
* Objects for storing those parameters
* Functions for simulating counts using those parameters
Splatter is built on top of several [Bioconductor](bioc-home) packages and stores simulations in [`SingleCellExperiment`][SCE] objects.
Splatter also has functions for comparing simulations and real datasets.
## Installation.
Splatter is available from [Bioconductor][bioc] for R >=3.4.
It can be installed from Bioconductor with:
```r
if (!requireNamespace("BiocManager", quietly=TRUE)) {
install.packages("BiocManager")
}
BiocManager::install("splatter")
```
If you wish to build a local version of the vignette use:
```r
BiocManager::install("splatter", build_vignettes=TRUE)
```
This will also build the vignette and install all suggested dependencies (which aren't required for core functionality).
## Getting started
Once installed the best place to get started is the vignette.
For most users the most convenient way to access this is online [here][vignette].
To get started with population scale simulations, see the splatPop vignette [here][splatpopvignette].
Alternatively, if you chose to build the vignette, you can load Splatter, then browse the vignettes:
```r
library(splatter)
browseVignettes("splatter")
```
This is a detailed document that introduces the main features of Splatter.
## Citing Splatter
If you use Splatter please cite our paper ["Zappia L, Phipson B, Oshlack A. Splatter: Simulation Of Single-Cell RNA Sequencing Data. Genome Biology. 2017; doi:10.1186/s13059-017-1305-0"][paper].
```bibtex
@Article{,
author = {Luke Zappia and Belinda Phipson and Alicia Oshlack},
title = {Splatter: simulation of single-cell RNA sequencing data},
journal = {Genome Biology},
year = {2017},
url = {http://dx.doi.org/10.1186/s13059-017-1305-0},
doi = {10.1186/s13059-017-1305-0},
}
```
If you use the splatPop functions, please also cite ["Azodi CB, Zappia L, Oshlack A, McCarthy DJ. splatPop: simulating population scale single-cell RNA sequencing data. Genome Biology. 2021; doi:10.1186/s13059-021-02546-1"][splatpoppaper].
```bibtex
@Article{,
author = {Christina B Azodi and Luke Zappia and Alicia Oshlack and Davis J McCarthy},
title = {splatPop: simulating population scale single-cell RNA sequencing data},
journal = {Genome Biology},
year = {2021},
url = {http://dx.doi.org/10.1186/s13059-021-02546-1},
doi = {10.1186/s13059-021-02546-1},
}
```
[scater]: https://github.com/davismcc/scater
[SCE]: https://github.com/drisso/SingleCellExperiment
[contrib]: https://github.com/Bioconductor/Contributions/issues/209
[bioc]: https://bioconductor.org/packages/devel/bioc/html/splatter.html
[bioc-home]: https://www.bioconductor.org/
[vignette]: https://bioconductor.org/packages/devel/bioc/vignettes/splatter/inst/doc/splatter.html
[splatpopvignette]: http://www.bioconductor.org/packages/devel/bioc/vignettes/splatter/inst/doc/splatPop.html
[paper]: http://dx.doi.org/10.1186/s13059-017-1305-0
[splatpoppaper]: http://dx.doi.org/10.1186/s13059-021-02546-1