GSR: Simulator - ArtificialFastqGenerator

Basic Package Attributes
AttributeValue
Title ArtificialFastqGenerator
Short Description Ouputs artificial FASTQ files derived from a reference genome.
Long Description Ouputs artificial FASTQ files derived from a reference genome.
Homepagehttps://sourceforge.net/projects/artfastqgen/
Citations Frampton M, Houlston R, Generation of artificial FASTQ files to evaluate the performance of next-generation sequencing pipelines., PLoS One, 01-01-2012 [ Abstract, cited in PMC ]
GSR Certification

Accessibility
Documentation
Application
Support

Last evaluated02-28-2023 (410 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,
Variations
Simulation MethodResample Existing Data,
Input
Data Type
File format
Output
Data Type
Sequencing ReadsIllumina,
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
Interface
Development
Tested Platforms
LanguageJava,
LicenseGNU Public License,
GSR CertificationAccessibility, Documentation, Application,

Number of Primary Citations: 1

Number of Non-Primary Citations: 3

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

2022

Shea J, Smith C, Halse TA, Kohlerschmidt D, Rourke AK, Musser KA, Escuyer V, Lapierre P, Novel Mycobacterium tuberculosis Complex Genotype Related to M. caprae., Emerg Infect Dis, 07-01-2022 [Abstract]

Matuszewska M, Murray GGR, Ba X, Wood R, Holmes MA, Weinert LA, Stable antibiotic resistance and rapid human adaptation in livestock-associated MRSA., Elife, 06-28-2022 [Abstract]

2021

Lorente-Leal V, Farrell D, Romero B, Álvarez J, de Juan L, Gordon SV, Performance and Agreement Between WGS Variant Calling Pipelines Used for Bovine Tuberculosis Control: Toward International Standardization., Front Vet Sci, 12-14-2021 [Abstract]


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