GSR: Simulator - simuRare

AttributeValue
Title simuRare
Short Description Simulating realistic genomic data with rare variants
Long Description simuRare is a regression-based resampling method to use real data and simulate rare variants obtained from the 1000 Genomes Project
Homepagehttps://ysph.yale.edu/c2s2/software/simurare/
Citations Xu Y, Wu Y, Song C, Zhang H, Simulating realistic genomic data with rare variants., Genet Epidemiol, Feb. 1, 2013 [ Abstract, cited in PMC ]
GSR Certification This simulator has not yet been evaluated for GSR Certification. Learn more about or request GSR Certification.
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.
Attribute CategoryAttribute
Target
Type of Simulated DataHaploid DNA Sequence,
VariationsBiallelic Marker, Multiallelic Marker, Single Nucleotide Variation,
Simulation MethodResample Existing Data,
Input
Data TypeReference genome,
File format
Output
Data TypeGenotype or Sequence,
Sequencing Reads
File FormatFasta or Fastq,
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
InterfaceScript-based,
Development
Tested PlatformsWindows, Linux and Unix,
LanguageR,
License
GSR Certification

Number of Primary Citations: 1

Number of Non-Primary Citations: 0

No example publication using simuRare has been provided.

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