Splatter: simulation of single-cell RNA sequencing data
AuthorZappia, L; Phipson, B; Oshlack, A
Source TitleGenome Biology
PublisherBIOMED CENTRAL LTD
AffiliationSchool of Physics
Document TypeJournal Article
CitationsZappia, L., Phipson, B. & Oshlack, A. (2017). Splatter: simulation of single-cell RNA sequencing data. GENOME BIOLOGY, 18 (1), https://doi.org/10.1186/s13059-017-1305-0.
Access StatusOpen Access
NHMRC Grant codeNHMRC/1126157
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.
- Click on "Export Reference in RIS Format" and choose "open with... Endnote".
- Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References