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Splatter: simulation of single-cell RNA sequencing data

Genome biology · 2017 · Vol. 18(1)
Luke ZappiaBelinda PhipsonAlicia Oshlack

Abstract

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.

Single-cell and spatial transcriptomicsCancer Genomics and DiagnosticsExtracellular vesicles in diseaseBioconductorBiologyComputational biologyComputer scienceRNASimilarity (geometry)BioinformaticsGeneticsArtificial intelligenceGene

Funding

  • Australian Government
  • State Government of Victoria
  • Medical Research Council
  • National Health and Medical Research Council
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