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Article Dans Une Revue (Data Paper) Bioinformatics Année : 2021

GSpace: an exact coalescence simulator of recombining genomes under isolation by distance

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Motivation: Simulation-based inference can bypass the limitations of statistical methods based on analytical approximations, but software allowing simulation of structured population genetic data without the classical n-coalescent approximations (such as those following from assuming large population size) are scarce or slow. Results: We present GSpace, a simulator for genomic data, based on a generation-by-generation coalescence algorithm taking into account small population size, recombination, and isolation by distance. Availability and implementation: Freely available at site web INRAe (http://www1.montpellier.inra.fr/CBGP/software/gspace/download.html).
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hal-03229110 , version 1 (15-06-2021)

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Thimothée Virgoulay, François Rousset, Camille Noûs, Raphaël Leblois. GSpace: an exact coalescence simulator of recombining genomes under isolation by distance. Bioinformatics, 2021, 37 (20), pp.3673-3675. ⟨10.1093/bioinformatics/btab261⟩. ⟨hal-03229110⟩
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