GSR: Simulator - FASTQSim

Basic Package Attributes
AttributeValue
Title FASTQSim
Short Description platform-independent data characterization and in silico read generation for NGS datasets
Long Description FASTQSim is a tool that provides the dual functionality of Next-Gen Sequencing dataset characterization and metagenomic data generation. FASTQSim is sequencing platform-independent, and computes distributions of read length, quality scores, indel rates, single point mutation rates, indel size, and similar statistics for any sequencing platform. To create training or testing datasets, FASTQSim has the ability to convert target sequences into in silico reads with matching error profiles.
Version 2.0
Project Started 2014
Last Release 6 years, 10 months ago
Homepagehttps://sourceforge.net/projects/fastqsim
Citations Shcherbina A, FASTQSim: platform-independent data characterization and in silico read generation for NGS datasets., BMC Res Notes, 08-15-2014 [ Abstract, cited in PMC ]
GSR Certification

Accessibility
Documentation
Application
Support

Last evaluated05-11-2021 (129 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,
VariationsSingle Nucleotide Variation,
Simulation MethodResample Existing Data,
Input
Data Type
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
InterfaceCommand-line,
Development
Tested Platforms
LanguagePython,
LicenseGNU Public License,
GSR CertificationAccessibility, Documentation, Support,

No example publication using FASTQSim has been provided.

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