Journal
BIOINFORMATICS
Volume 37, Issue 24, Pages 4882-4885Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btab468
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Funding
- Swiss National Science Foundation [310030_188883, 31003A_163338]
- Portuguese National Science Foundation Fundacao para a Ciencia e a Tecnologia [FCT] [CEECINST/00032/2018/CP1523/CT0008, UIDB/00329/2020]
- Fundação para a Ciência e a Tecnologia [UIDB/00329/2020, CEECINST/00032/2018/CP1523/CT0008] Funding Source: FCT
- Swiss National Science Foundation (SNF) [31003A_163338, 310030_188883] Funding Source: Swiss National Science Foundation (SNF)
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fastsimcoal2 extends fastsimcoal by enabling estimation of demographic parameters under complex scenarios, with improvements such as multi-threading, handling of population inbreeding, extended input file syntax, and more efficient simulations.
Motivation: fastsimcoal2 extends fastsimcoal, a continuous time coalescent-based genetic simulation program, by enabling the estimation of demographic parameters under very complex scenarios from the site frequency spectrum under a maximum-likelihood framework. Results: Other improvements include multi-threading, handling of population inbreeding, extended input file syntax facilitating the description of complex demographic scenarios, and more efficient simulations of sparsely structured populations and of large chromosomes.
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