GSR: Simulator - Splatter
Attribute | Value |
---|---|
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 |
Homepage | https://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 Certification | ✔ Accessibility |
Last evaluated | 06-10-2021 (1016 days ago) |
Author verification | The 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. |
Attribute Category | Attribute |
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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 Certification | Accessibility, 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]