Splatter: simulation of single-cell RNA sequencing data

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Author
Zappia, L; Phipson, B; Oshlack, ADate
2017-09-12Source Title
Genome BiologyPublisher
BIOMED CENTRAL LTDAffiliation
School of PhysicsPaediatrics (RCH)
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Journal ArticleCitations
Zappia, 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 Status
Open AccessNHMRC Grant code
NHMRC/1126157Abstract
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.
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