GSR: Simulator - FASTQSim
Attribute | Value |
---|---|
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, 2 months ago |
Homepage | https://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 | This simulator has not yet been evaluated for GSR Certification. Learn more about or request GSR Certification. |
Author verification | The 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. |
Attribute Category | Attribute |
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Target | |
Type of Simulated Data | |
Variations | |
Simulation Method | |
Input | |
Data Type | |
File format | |
Output | |
Data Type | |
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 | |
Interface | |
Development | |
Tested Platforms | |
Language | |
License | |
GSR Certification |
No example publication using FASTQSim has been provided.
Please propose new citations if you are aware of publications that use this software.