GSR: Simulator - Splatter

Basic Package Attributes
AttributeValue
Title Splatter
Short Description an R package for the simple simulation of single-cell RNA sequencing data. This vignette gives an overview and introduction to Splatter’s functionality.
Long 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.
Keywords RNA-seq; Simulation; Single-cell; Software
Version 1.15.1
Last Release 3 years, 5 months ago
Homepagehttps://bioconductor.org/packages/devel/bioc/vignettes/splatter/inst/doc/splatter.html
Citations Zappia L, Phipson B, Oshlack A, Splatter: simulation of single-cell RNA sequencing data., Genome Biol, 09-12-2017 [ Abstract, cited in PMC ]
GSR CertificationGSR-certified

Accessibility
Documentation
Application
Support

Last evaluated06-10-2021 (1016 days ago)
Author verificationThe basic description provided was derived from a website or publications by the GSR team and has not yet been verified by the simulation author. To modify this entry or add more information, propose changes to this simulator.
Detailed Attributes
Attribute CategoryAttribute
Target
Type of Simulated Data
Variations
Simulation Method
Input
Data Type
File format
Output
Data Type
Sequencing Reads
File Format
Sample Type
Phenotype
Trait Type
Determinants
Evolutionary Features
Demographic
Population Size Changes
Gene Flow
Spatiality
Life Cycle
Mating System
Fecundity
Natural Selection
Determinant
Models
Recombination
Mutation Models
Events Allowed
Other
Interface
Development
Tested Platforms
Language
License
GSR CertificationAccessibility, Documentation, Application, Support,

Number of Primary Citations: 1

Number of Non-Primary Citations: 2

The following 2 publications are selected examples of applications that used Splatter.

2023

Kuchroo M, DiStasio M, Song E, Calapkulu E, Zhang L, Ige M, Sheth AH, Majdoubi A, Menon M, Tong A, et al., Single-cell analysis reveals inflammatory interactions driving macular degeneration., Nat Commun, 05-05-2023 [Abstract]

Cheng Y, Ma X, Yuan L, Sun Z, Wang P, Evaluating imputation methods for single-cell RNA-seq data., BMC Bioinformatics, 07-28-2023 [Abstract]


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