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Splatter: simulation of single-cell RNA sequencing data
As single-cell RNA sequencing (scRNA-seq) technologies have rapidly developed, so have analysis methods. Many methods have been tested, developed, and validated using simulated datasets. Unfortunately, current simulations are often poorly documented, their similarity to real data is not demonstrated...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5596896/ https://www.ncbi.nlm.nih.gov/pubmed/28899397 http://dx.doi.org/10.1186/s13059-017-1305-0 |
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author | Zappia, Luke Phipson, Belinda Oshlack, Alicia |
author_facet | Zappia, Luke Phipson, Belinda Oshlack, Alicia |
author_sort | Zappia, Luke |
collection | PubMed |
description | As single-cell RNA sequencing (scRNA-seq) technologies have rapidly developed, so have analysis methods. Many methods have been tested, developed, and validated using simulated datasets. Unfortunately, current simulations are often poorly documented, their similarity to real data is not demonstrated, or reproducible code is not available. Here, we present the Splatter Bioconductor package for simple, reproducible, and well-documented simulation of scRNA-seq data. Splatter provides an interface to multiple simulation methods including Splat, our own simulation, based on a gamma-Poisson distribution. Splat can simulate single populations of cells, populations with multiple cell types, or differentiation paths. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-017-1305-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5596896 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55968962017-09-15 Splatter: simulation of single-cell RNA sequencing data Zappia, Luke Phipson, Belinda Oshlack, Alicia Genome Biol Method As single-cell RNA sequencing (scRNA-seq) technologies have rapidly developed, so have analysis methods. Many methods have been tested, developed, and validated using simulated datasets. Unfortunately, current simulations are often poorly documented, their similarity to real data is not demonstrated, or reproducible code is not available. Here, we present the Splatter Bioconductor package for simple, reproducible, and well-documented simulation of scRNA-seq data. Splatter provides an interface to multiple simulation methods including Splat, our own simulation, based on a gamma-Poisson distribution. Splat can simulate single populations of cells, populations with multiple cell types, or differentiation paths. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13059-017-1305-0) contains supplementary material, which is available to authorized users. BioMed Central 2017-09-12 /pmc/articles/PMC5596896/ /pubmed/28899397 http://dx.doi.org/10.1186/s13059-017-1305-0 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Method Zappia, Luke Phipson, Belinda Oshlack, Alicia Splatter: simulation of single-cell RNA sequencing data |
title | Splatter: simulation of single-cell RNA sequencing data |
title_full | Splatter: simulation of single-cell RNA sequencing data |
title_fullStr | Splatter: simulation of single-cell RNA sequencing data |
title_full_unstemmed | Splatter: simulation of single-cell RNA sequencing data |
title_short | Splatter: simulation of single-cell RNA sequencing data |
title_sort | splatter: simulation of single-cell rna sequencing data |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5596896/ https://www.ncbi.nlm.nih.gov/pubmed/28899397 http://dx.doi.org/10.1186/s13059-017-1305-0 |
work_keys_str_mv | AT zappialuke splattersimulationofsinglecellrnasequencingdata AT phipsonbelinda splattersimulationofsinglecellrnasequencingdata AT oshlackalicia splattersimulationofsinglecellrnasequencingdata |