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SLiM 3: Forward Genetic Simulations Beyond the Wright–Fisher Model
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“To ensure complete coalescence in every simulation, it is advised to simulate a burn-in step for more than ten times the total size of the population (10 × Ntotal = 15,000 generations)92.”
From Patrilineal segmentary systems provide a peaceful explanation for the post-Neolithic Y-chromosome bottleneck (2024) · cites this paper as [92]
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- Bank, 2014, Thinking too positive? Revisiting current methods of population genetic selection inference, Trends Genet, 30, 540, 10.1016/j.tig.2014.09.010 · DOI
- Begon, 2006, Ecology: from individuals to ecosystems
- Bentley, 1975, Multidimensional binary search trees used for associative searching, Commun ACM, 18, 509, 10.1145/361002.361007 · DOI
- Carvajal-Rodriguez, 2010, Simulation of genes and genomes forward in time, Curr Genomics, 11, 58, 10.2174/138920210790218007 · DOI
- Fisher, 1922, On the dominance ratio, P Roy Soc Edinb, 42, 321, 10.1017/S0370164600023993 · DOI
- Grimm, 2002, Visual debugging: a way of analyzing, understanding and communicating bottom-up simulation models in ecology, Nat Resour Model, 15, 23, 10.1111/j.1939-7445.2002.tb00078.x · DOI
- Haller, 2016, SLiM: An Evolutionary Simulation Framework
- Haller, 2017, SLiM 2: flexible, interactive forward genetic simulations, Mol Biol Evol, 34, 230, 10.1093/molbev/msw211 · DOI
- Haller, 2018, Tree-sequence recording in SLiM opens new horizons for forward-time simulation of whole genomes, Mol Ecol Resour
- Hixon, 2002, Population regulation: historical context and contemporary challenges of open vs closed systems, Ecology, 83, 1490, 10.1890/0012-9658(2002)083[1490:PRHCAC]2.0.CO;2 · DOI
- Hoban, 2014, An overview of the utility of population simulation software in molecular ecology, Mol Ecol, 23, 2383, 10.1111/mec.12741 · DOI
- Kelleher, 2016, Efficient coalescent simulation and genealogical analysis for large sample sizes, PLoS Comput Biol, 12, e1004842, 10.1371/journal.pcbi.1004842 · DOI
- Kelleher, 2018, Efficient pedigree recording for fast population genetics simulation, PLoS Comput Biol, 10.1371/journal.pcbi.1006581 · DOI
- Messer, 2013, SLiM: simulating evolution with selection and linkage, Genetics, 194, 1037, 10.1534/genetics.113.152181 · DOI
- Tewarson, 1973, Sparse matrices
- Thornton, 2014, A C++ template library for efficient forward-time population genetic simulation of large populations, Genetics, 198, 157, 10.1534/genetics.114.165019 · DOI
- Wright, 1931, Evolution in Mendelian populations, Genetics, 16, 97, 10.1093/genetics/16.2.97 · DOI
- Yuan, 2012, An overview of population genetic data simulation, J Comput Biol, 19, 42, 10.1089/cmb.2010.0188 · DOI
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Zeng, J., Xue, A., Jiang, L., Lloyd-Jones, L. R., Wu, Y., Wang, H., Zheng, Z., Yengo, L., Kemper, K. E., Goddard, M. E., et al. (2021) · Nature Communications · doi:10.1038/s41467-021-21446-3 · Cited by 144
Metadata
- Authors
- Haller, B. C., & Messer, P. W.
- Venue
- Molecular Biology and Evolution
- Publisher
- Oxford University Press (OUP)
- Published
- 2019-01-18
- Volume
- 36
- Issue
- 3
- Pages
- 632-637
- ISSN
- 0737-4038
- 1537-1719
- PMC
- PMC6389312
- Cited by
- 722
- References
- 0
- Language
- en
- Funders
- College of Agriculture and Life Sciences (SS/05/01)
- National Institutes of Health (R01GM127418)
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- Haller, B. C., & Messer, P. W. (2019). SLiM 3: Forward Genetic Simulations Beyond the Wright–Fisher Model. Molecular Biology and Evolution. https://doi.org/10.1093/molbev/msy228