GSR: Simulator - Pysim-sv

Basic Package Attributes
AttributeValue
Title Pysim-sv
Short Description Pysim-sv: a package for simulating structural variation data with GC-biases
Long Description Pysim-sv is a package for simulating HTS data to evaluate performance of SV detection algorithms. Pysim-sv can introduce a wide spectrum of germline and somatic genomic variations. The package contains functionalities to simulate tumor data with aneuploidy and heterogeneous subclones, which is very useful in assessing algorithm performance in tumor studies. Furthermore, Pysim-sv can introduce GC-bias, the most important and prevalent bias in HTS data, in the simulated HTS data.
Keywords Breakpoints; Copy number variation; Next-generation sequencing; Translocation
Project Started 2016
Last Release 8 years, 2 months ago
Homepagehttps://github.com/xyc0813/pysim/
Citations Xia Y, Liu Y, Deng M, Xi R, Pysim-sv: a package for simulating structural variation data with GC-biases., BMC Bioinformatics, March 14, 2017 [ Abstract, cited in PMC ]
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Last evaluatedAug. 5, 2022 (1112 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 Data
VariationsInsertion and Deletion, CNV,
Simulation Method
Input
Data TypeReference genome,
File formatSAM or BAM,
Output
Data TypeGenotype or Sequence,
Sequencing Reads
File FormatFasta or Fastq, SAM or BAM,
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
InterfaceScript-based,
Development
Tested Platforms
LanguagePython,
License
GSR CertificationDocumentation,

Number of Primary Citations: 1

Number of Non-Primary Citations: 0

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