GSR: Simulator - twas_sim

Basic Package Attributes
Attribute	Value
Title	twas_sim
Short Description	Python simulator and power-analysis tool for TWAS.
Long Description	twas_sim uses real genotype data to simulate complex traits through latent gene expression, estimate eQTL weights in independent data, run GWAS/TWAS, and evaluate power under multiple LD, prediction-model, and pleiotropy settings.
Keywords	TWAS; GWAS; eQTL; gene expression; power analysis; genotype simulation; Python
Homepage	https://github.com/mancusolab/twas_sim
Citations
GSR Certification	This simulator has not yet been evaluated for GSR Certification. Learn more about or request GSR Certification.
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.

Detailed Attributes
Attribute Category	Attribute
Target
Type of Simulated Data	Genotype at Genetic Markers,
Variations
Simulation Method
Input
Data Type
File format
Output
Data Type	Genotype or Sequence,
Sequencing Reads
File Format
Sample Type
Phenotype
Trait Type
Determinants	Multiple Genetic Markers,
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, Script-based,
Development
Tested Platforms	Linux and Unix,
Language	Python,
License
GSR Certification

Number of Primary Citations: 0

Number of Non-Primary Citations: 0

No example publication using twas_sim has been provided.

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