GSR: Simulator - HapSim

Basic Package Attributes
AttributeValue
Title HapSim
Short Description A simulation tool for generating haplotype data with pre-specified allele frequencies and LD coefficients
Long Description Package for haplotype data simulation. Haplotypes are generated such that their allele frequencies and linkage disequilibrium coefficients match those estimated from an input data set
Version 0.2
Project Started 2005
Last Release 18 years, 4 months ago
Homepagehttp://cran.r-project.org/web/packages/hapsim/index.html
Citations Montana G, HapSim: a simulation tool for generating haplotype data with pre-specified allele frequencies and LD coefficients., Bioinformatics, 12-01-2005 [ Abstract, cited in PMC ]
GSR Certification

Accessibility
Documentation
Application
Support

Last evaluated01-24-2019 (1906 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 DataHaploid DNA Sequence (Haplotypes),
VariationsBiallelic Marker,
Simulation MethodOther,
Input
Data TypeAllele Frequencies, Other (Ld information),
File format
Output
Data TypeGenotype or Sequence (Haplotypes),
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 (R),
Development
Tested PlatformsWindows, Mac OS X, Linux and Unix, Solaris,
LanguageR,
LicenseGNU Public License,
GSR CertificationAccessibility, Documentation, Application,

Number of Primary Citations: 1

Number of Non-Primary Citations: 2

The following 2 publications are selected examples of applications that used HapSim.

2022

Li X, Jiang L, Xue C, Li MJ, Li M, A conditional gene-based association framework integrating isoform-level eQTL data reveals new susceptibility genes for schizophrenia., Elife, 04-12-2022 [Abstract]

Jiang L, Miao L, Yi G, Li X, Xue C, Li MJ, Huang H, Li M, Powerful and robust inference of complex phenotypes' causal genes with dependent expression quantitative loci by a median-based Mendelian randomization., Am J Hum Genet, 05-05-2022 [Abstract]


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