Computer simulations: tools for population and evolutionary genetics

By Sean M. Hoban, Giorgio Bertorelle, Oscar E. Gaggiotti. Nature reviews genetics, 2012

298 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/949fbfdb9d0cff474a46ed4c945ac8a8eb5fd47b

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In Genetics

Citations in the corpus

Efficient Coalescent Simulation and Genealogical Analysis for Large Sample Sizes (2015, background): “Many reviews are available to compare the various coalescent simulators in terms of their features (Carvajal-Rodr´ıguez, 2008; Liu et al., 2008; Arenas, 2012; Yuan et al., 2012; Hoban et al., 2012; Yang et al., 2014).”
Accelerating Wright–Fisher Forward Simulations on the Graphics Processing Unit (2016, unknown): “Unfortunately, because of the computational cost, the use of such simulations to analyze polymorphism data are often prohibitively expensive in practice (Carvajal-Rodriguez 2010; Hoban et al. 2012).”
Introgression of crop alleles into wild or weedy populations (2013, background): “F or p er so na l u se o nl y. the range of evolutionary simulation programs now available (partially reviewed by Hoban et al. 2012), with relatively few limitations for demographic scenarios that can be accommodated (e.g., some cases of asymmetrical gene flow).”
Landscape Genomics: Understanding Relationships Between Environmental Heterogeneity and Genomic Characteristics of Populations (2017, background): “Simulation studies are an important way of testing methods (Hoban et al. 2012), and they have already provided valuable assessments of different methods and sampling designs in landscape genomics (see Landguth et al.”
Efficient ancestry and mutation simulation with msprime 1.0 (2021, background): “…inherent efficiency, and the great utility of simulations for a wide range of purposes, has led to dozens of different tools being developed over the decades (Carvajal-Rodr (cid:2) ıguez 2008; Liu et al. 2008; Arenas 2012; Hoban et al. 2012; Yuan et al. 2012; Yang et al. 2014; Peng et al. 2015).”