GSR: Simulator - scDesign
Attribute | Value |
---|---|
Title | scDesign |
Short Description | scDesign assess scRNA-seq experimental design in the context of differential gene expression analysis. |
Long Description | scDesign quantitatively assesses scRNA-seq experimental design. The software also assists in computational method development by generating high-quality synthetic scRNA-seq datasets under customized experimental settings. scDesign is reproducible across biological replicates and independent studies. |
Version | 1.0.0 |
Project Started | 2018 |
Last Release | 4 years, 8 months ago |
Homepage | https://github.com/Vivianstats/scDesign |
Citations | Li WV, Li JJ, A statistical simulator scDesign for rational scRNA-seq experimental design., Bioinformatics, July 15, 2019 [ Abstract, cited in PMC ] |
GSR Certification | ![]() ✔ Accessibility |
Last evaluated | June 23, 2022 (1155 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 | Command-line, |
Development | |
Tested Platforms | |
Language | Other, |
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 scDesign.
2023
Fan S, Dang D, Ye Y, Zhang SW, Gao L, Zhang S, scHi-CSim: a flexible simulator that generates high-fidelity single-cell Hi-C data for benchmarking., J Mol Cell Biol, June 1, 2023 [Abstract]
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]