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GSR: Simulator - POWSC
| Attribute | Value |
|---|---|
| Title | POWSC |
| Short Description | POWSC is a computational tool that is used for power evaluation and sample size estimation in scRNA-seq. |
| Long Description | POWSC is an R package designed for sc-RNA-seq. The software plays three roles: parameter estimator, data simulator, and power assessor. As a parameter estimator, POWSC accurately captures the characterized parameters for any specific cell type from expression data. The simulator generates synthetic data based on a rigorous simulation mechanism that includes zero expression values. POWSC also performs comprehensive power analysis and reports stratified target powers for DE genes. |
| Version | 0.99.12 |
| Project Started | 2021 |
| Last Release | 4 years, 4 months ago |
| Homepage | https://github.com/suke18/POWSC |
| Citations | Su K, Wu Z, Wu H, Simulation, power evaluation and sample size recommendation for single-cell RNA-seq., Bioinformatics, Dec. 8, 2020 [ Abstract, cited in PMC ] |
| GSR Certification |  ✔ Accessibility |
| Last evaluated | Sept. 30, 2022 (1057 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, Single-Cell 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 | Other, |
| 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 POWSC.
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]
2021
Cao Y, Yang P, Yang JYH, A benchmark study of simulation methods for single-cell RNA sequencing data., Nat Commun, Nov. 25, 2021 [Abstract]