GSR: Simulator - piBUSS

Basic Package Attributes
AttributeValue
Title piBUSS
Short Description a parallel BEAST/BEAGLE utility for sequence simulation under complex evolutionary scenarios
Long Description πBUSS is a BEAST/BEAGLE utility for sequence simulation, which provides an easy to use interface that allows flexible and extensible phylogenetic data fabrication, delegating computationally intensive tasks to the BEAGLE library and thus making full use of multi-core architectures.
Last Release 10 years, 6 months ago
Homepagehttps://rega.kuleuven.be/cev/ecv/software/pibuss
Citations Bielejec F, Lemey P, Carvalho LM, Baele G, Rambaut A, Suchard MA, πBUSS: a parallel BEAST/BEAGLE utility for sequence simulation under complex evolutionary scenarios., BMC Bioinformatics, 05-07-2014 [ Abstract, cited in PMC ]
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Application
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Last evaluated05-15-2023 (334 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 DataProtein Sequence,
VariationsAmino acid variation,
Simulation MethodStandard Coalescent, Phylogenetic,
Input
Data Type
File format
Output
Data TypePhylogenetic Tree,
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
InterfaceCommand-line, Graphical User Interface,
Development
Tested Platforms
LanguageJava,
License
GSR CertificationDocumentation, Application,

Number of Primary Citations: 1

Number of Non-Primary Citations: 5

The following 5 publications are selected examples of applications that used piBUSS.

2022

Patrono LV, Vrancken B, Budt M, Düx A, Lequime S, Boral S, Gilbert MTP, Gogarten JF, Hoffmann L, Horst D, et al., Archival influenza virus genomes from Europe reveal genomic variability during the 1918 pandemic., Nat Commun, 05-10-2022 [Abstract]

Patrono LV, Vrancken B, Budt M, Düx A, Lequime S, Boral S, Gilbert MTP, Gogarten JF, Hoffmann L, Horst D, et al., Archival influenza virus genomes from Europe reveal genomic variability during the 1918 pandemic., Nat Commun, 05-10-2022 [Abstract]

2020

Huang K, Zhang Y, Han Z, Zhou X, Song Y, Wang D, Zhu S, Yan D, Xu W, Xu W, Global Spread of the B5 Subgenotype EV-A71 and the Phylogeographical Analysis of Chinese Migration Events., Front Cell Infect Microbiol, 09-25-2020 [Abstract]

Huang K, Zhang Y, Han Z, Zhou X, Song Y, Wang D, Zhu S, Yan D, Xu W, Xu W, Global Spread of the B5 Subgenotype EV-A71 and the Phylogeographical Analysis of Chinese Migration Events., Front Cell Infect Microbiol, 09-25-2020 [Abstract]

2019

Bletsa M, Suchard MA, Ji X, Gryseels S, Vrancken B, Baele G, Worobey M, Lemey P, Divergence dating using mixed effects clock modelling: An application to HIV-1., Virus Evol, 09-05-2019 [Abstract]


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