GSR: Simulator - SPARSIM

Basic Package Attributes
AttributeValue
Title SPARSIM
Short Description SPARSim is an R tool used for simulating single cell RNA-seq (scRNA-seq) count tables.
Long Description SPARSim is an scRNA count data simulator based on a Gamma-Multivariate Hypergeometric model. The package generates count data that resembles real data in terms of count intensity, variability and sparsity. The simulator is capable of simulating count matrices that resemble the distribution of different expression intensities observed in real count data. The package can also simulate single cell RNA-seq count tables.
Version 0.9.5
Project Started 2020
Last Release 4 years, 11 months ago
Homepagehttps://gitlab.com/sysbiobig/sparsim
Citations Baruzzo G, Patuzzi I, Di Camillo B, SPARSim single cell: a count data simulator for scRNA-seq data., Bioinformatics, March 1, 2020 [ Abstract, cited in PMC ]
GSR CertificationGSR-certified

Accessibility
Documentation
Application
Support

Last evaluatedJune 23, 2022 (1030 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
InterfaceCommand-line,
Development
Tested Platforms
LanguageC or C++, R,
LicenseGNU Public License,
GSR CertificationAccessibility, Documentation, Application, Support,

Number of Primary Citations: 1

Number of Non-Primary Citations: 3

The following 3 publications are selected examples of applications that used SPARSIM.

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]

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]

Ellis D, Roy A, Datta S, Clustering single-cell multimodal omics data with jrSiCKLSNMF., Front Genet, June 9, 2023 [Abstract]


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