GSR: Simulator - RSVSim

Basic Package Attributes
AttributeValue
Title RSVSim
Short Description an R/Bioconductor package for the simulation of structural variations
Long Description RSVSim is a tool for the simulation of deletions, insertions, inversions, tandem duplications and translocations of various sizes in any genome available as FASTA-file or data package in R. The structural variations can be generated randomly, based on user-supplied genomic coordinates or associated to various kinds of repeats. The package further comprises functions to estimate the distribution of structural variation sizes from real datasets.
Version 1.30.0
Last Release 10 years, 12 months ago
Homepagehttps://bioconductor.org/packages/release/bioc/html/RSVSim.html
Citations Bartenhagen C, Dugas M, RSVSim: an R/Bioconductor package for the simulation of structural variations., Bioinformatics, 07-01-2013 [ Abstract, cited in PMC ]
GSR Certification

Accessibility
Documentation
Application
Support

Last evaluated06-10-2021 (1038 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
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 CertificationAccessibility, Documentation, Application,

Number of Primary Citations: 1

Number of Non-Primary Citations: 2

The following 2 publications are selected examples of applications that used RSVSim.

2023

Zhou X, Pan J, Wang Y, Lynch M, Long H, Zhang Y, De Novo Structural Variations of Escherichia coli Detected by Nanopore Long-Read Sequencing., Genome Biol Evol, 06-01-2023 [Abstract]

Jung YH, Wang HV, Ali S, Corces VG, Kremsky I, Characterization of a strain-specific CD-1 reference genome reveals potential inter- and intra-strain functional variability., BMC Genomics, 08-03-2023 [Abstract]


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