GSR: Simulator - SIMLA

Basic Package Attributes
AttributeValue
Title SIMLA
Short Description SIMLA is a SIMuLAtion program that generates data sets of families for use in Linkage and Association studies.
Long Description SIMLA is a SIMuLAtion program that generates data sets of families for use in Linkage and Association studies. It allows the user flexibility in specifying marker and disease placement, locus heterogeneity, disequilibrium between markers and between markers and disease loci. Output is in the form of a LINKAGE (Lathrop et al., Proc Natl Acad Sci USA 81, 1984) pedigree file and is easily utilized, either directly or with minimal reformatting, as input for various genetic analysis packages.
Version 3.2
Project Started 2005
Last Release 15 years, 9 months ago
Homepagehttp://dmpi.duke.edu/simla-simulation-software-version-32
Citations Schmidt M, Hauser ER, Martin ER, Schmidt S, Extension of the SIMLA package for generating pedigrees with complex inheritance patterns: environmental covariates, gene-gene and gene-environment interaction., Stat Appl Genet Mol Biol, 01-01-2005 [ Abstract, cited in PMC ]
GSR Certification This package has been evaluated. No certificates were awarded at this time.
Last evaluated10-01-2020 (16 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 DataGenotype at Genetic Markers,
VariationsBiallelic Marker,
Simulation MethodGene dropping,
Input
Data Type
File format
Output
Data TypeGenotype or Sequence, Phenotypic Trait,
Sequencing Reads
File FormatLinkage,
Sample TypeSibpairs, Trios and Nuclear Families, Extended or Complete Pedigrees, Case-control,
Phenotype
Trait TypeBinary or Qualitative, Quantitative,
DeterminantsSingle Genetic Marker, Multiple Genetic Markers, Gene-Gene Interaction, Environmental Factors, Gene-Environment Interaction,
Evolutionary Features
Demographic
Population Size ChangesConstant Size,
Gene Flow
Spatiality
Life Cycle
Mating System
Fecundity
Natural Selection
Determinant
Models
Recombination
Mutation Models
Events Allowed
Other
InterfaceCommand-line,
Development
Tested PlatformsWindows, Mac OS X, Linux and Unix, Solaris,
LanguageC or C++,
License
GSR Certification

No example publication using SIMLA has been provided.

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