GSR: Simulator - SPsimSeq
Attribute | Value |
---|---|
Title | SPsimSeq |
Short Description | SPsimSeq simulates datasets from estimated marginal distributions with Gaussian-copulas. |
Long Description | SPsimSeq uses an exponential family for density estimation to construct distributions of gene expression levels from RNA sequencing data, thereby simulating a new dataset from marginal distributions with Gaussian-copulas in order to retain the dependence between genes. It also allows for the simulation of multiple groups and batches with any required sample size and library size. |
Version | v2.0.0 |
Project Started | 2019 |
Last Release | 5 years, 8 months ago |
Homepage | https://github.com/CenterForStatistics-UGent/SPsimSeq |
Citations | Assefa AT, Vandesompele J, Thas O, SPsimSeq: semi-parametric simulation of bulk and single-cell RNA-sequencing data., Bioinformatics, May 1, 2020 [ Abstract, cited in PMC ] |
GSR Certification | ![]() ✔ Accessibility |
Last evaluated | Sept. 30, 2022 (932 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 |
---|---|
Target | |
Type of Simulated Data | RNA, Gene Expression, Single-Cell Sequencing, Bulk Sequencing, |
Variations | |
Simulation Method | |
Input | |
Data Type | |
File format | |
Output | |
Data Type | Gene Expression, |
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 | Command-line, |
Development | |
Tested Platforms | |
Language | R, |
License | BSD, |
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 SPsimSeq.
2023
Crowell HL, Morillo Leonardo SX, Soneson C, Robinson MD, The shaky foundations of simulating single-cell RNA sequencing data., Genome Biol, March 29, 2023 [Abstract]
2020
Takele Assefa A, Vandesompele J, Thas O, On the utility of RNA sample pooling to optimize cost and statistical power in RNA sequencing experiments., BMC Genomics, April 19, 2020 [Abstract]