期刊
BIOINFORMATICS
卷 37, 期 20, 页码 3673-3675出版社
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btab261
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资金
- LabEx CeMEB [ANR-10LABX-04-01]
- CBGP host platform
- Agence Nationale de la Recherche [ANR16-CE02-0008, ANR-19-CE02-0011]
GSpace is a simulator for genomic data based on a generation-by-generation coalescence algorithm, which takes into account small population size, recombination, and isolation by distance.
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.
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