GSR: Simulator - powsimR

Basic Package Attributes
AttributeValue
Title powsimR
Short Description powsimR assess power and sample size requirements for differential expression (DE) analysis of single cell and bulk RNA-seq experiments.
Long Description powsimR assess power and sample size requirements for differential expression (DE) analysis of single cell and bulk RNA-seq experiments. The number of replicates required to achieve the desired statistical power is determined by technical noise and biological variability. Both of these variables are considerably larger if the biological replicates are single cells. powsimR can not only estimate sample sizes necessary to achieve a certain power, but also informs about the power to detect DE in a data set at hand.
Version 1.2.4
Project Started 2018
Last Release 4 years, 9 months ago
Homepagehttps://github.com/bvieth/powsimR
Citations Vieth B, Ziegenhain C, Parekh S, Enard W, Hellmann I, powsimR: power analysis for bulk and single cell RNA-seq experiments., Bioinformatics, Nov. 1, 2017 [ Abstract, cited in PMC ]
GSR CertificationGSR-certified

Accessibility
Documentation
Application
Support

Last evaluatedJune 23, 2022 (1155 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
LanguageR,
LicenseOther,
GSR CertificationAccessibility, 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 powsimR.

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]

1986

Heslop JP, Blakeley DM, Brown KD, Irvine RF, Berridge MJ, Effects of bombesin and insulin on inositol (1,4,5)trisphosphate and inositol (1,3,4)trisphosphate formation in Swiss 3T3 cells., Cell, Dec. 5, 1986 [Abstract]


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