GSR: Simulator - Coala

Basic Package Attributes
AttributeValue
Title Coala
Short Description Coala is an R package that simulates biological sequences according to a given model of evolution.
Long Description Coala is an R package that simulates biological sequences according to a given model of evolution. The package calls simulators based on coalescent theory. All the simulators can simulate finite site mutation models when combined with Seq-gen. Coala then imports the output of the simulators into R and is capable of calculating their summary statistics.
Version 0.6.1
Project Started 2015
Last Release 3 years, 5 months ago
Homepagehttps://github.com/statgenlmu/coala
Citations Staab PR, Metzler D, Coala: an R framework for coalescent simulation., Bioinformatics, June 15, 2016 [ Abstract, cited in PMC ]
GSR CertificationGSR-certified

Accessibility
Documentation
Application
Support

Last evaluatedMay 17, 2022 (1068 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, Haploid DNA Sequence,
Variations
Simulation MethodStandard Coalescent, Exact Coalescent,
Input
Data Type
File format
Output
Data Type
Sequencing Reads
File Format
Sample Type
Phenotype
Trait Type
Determinants
Evolutionary Features
Demographic
Population Size ChangesConstant Size, Exponential Growth or Decline, Bottleneck,
Gene Flow
Spatiality
Life Cycle
Mating System
Fecundity
Natural Selection
DeterminantSingle-locus,
Models
Recombination
Mutation Models
Events Allowed
Other
InterfaceCommand-line,
Development
Tested PlatformsMac OS X, Linux and Unix,
LanguageR,
LicenseOther,
GSR CertificationAccessibility, Documentation, Application, Support,

Number of Primary Citations: 1

Number of Non-Primary Citations: 3

The following 3 publications are selected examples of applications that used Coala.

2022

Lees JA, Tonkin-Hill G, Yang Z, Corander J, Mandrake: visualizing microbial population structure by embedding millions of genomes into a low-dimensional representation., Philos Trans R Soc Lond B Biol Sci, Oct. 10, 2022 [Abstract]

Tricou T, Tannier E, de Vienne DM, Ghost lineages can invalidate or even reverse findings regarding gene flow., PLoS Biol, Sept. 14, 2022 [Abstract]

2020

Setter D, Mousset S, Cheng X, Nielsen R, DeGiorgio M, Hermisson J, VolcanoFinder: Genomic scans for adaptive introgression., PLoS Genet, June 18, 2020 [Abstract]


Propose changes to this simulator