Bioinformatics. 2021 May 8:btab261. doi: 10.1093/bioinformatics/btab261. Online ahead of print.
ABSTRACT
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: Freely available at site web INRAe (http://www1.montpellier.inra.fr/CBGP/software/gspace/download.html).
PMID:33964130 | DOI:10.1093/bioinformatics/btab261
