Data from: Fisher's geometric model with a moving optimum

Matuszewski S, Hermisson J, Kopp M

Date Published: February 12, 2015

DOI: http://dx.doi.org/10.5061/dryad.534f0.2

 

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Title SimulateMovingOptimum
Downloaded 50 times
Description C++ code used for "adaptive-walk" simulations of the multidimensional moving-optimum model. In these simulations, the population is assumed to be monomorphic at all times, and new mutations are immediately lost or fixed. As a result, adaptation proceeds as a series of discrete "steps". Adaptive-walk simulations are much faster than individual-based simulations, and are more closely related to the analytical results in the paper. Similar assumptions have been used in other models of the genetics of adaptation (Gillespie, Orr...), and have been justified by the so-called strong-selection-weak-mutation assumption.
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Download README.txt (2.891 Kb)
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Title MovingOptimum_IndBased
Downloaded 27 times
Description C++ code used for individual-based simulations of the multidimensional moving-optimum model. These simulations implement all model assumptions (i.e., they represent the "full" model). In particular, they keep track of the action of selection, recombination and mutation on multilocus genotypes in a finite population. Individual-based simulations are, thus, realistic (but also more time-consuming) than "adaptive-walk simulations" (see SimulateMovingOptimum.cpp).
Download MovingOptimum_IndBased.cpp (88.25 Kb)
Download README.txt (3.819 Kb)
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Title IndividualBased_SimulationData
Downloaded 43 times
Description Simulation data from the individual-based simulation procedure described in the 'Model and Methods' section (paragraph 'Individual-based simulations'). Corresponding simulation program: MovingOptimum_IndBased.cpp. ReadMe files are contained within the .zip archive.
Download IndividualBasedDATA.zip (40.79 Mb)
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Title MonteCarlo_SimulationData
Downloaded 40 times
Description Simulation data from the Monte-Carlo simulation procedure described in the 'Model and Methods' section (paragraph 'The adaptive-walk approximation'). Corresponding simulation program: SimulateMovingOptimum.cpp. ReadMe files are contained within the .zip archive.
Download MonteCarloDATA.zip (3.622 Gb)
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Title Mathematica_SimulationData
Downloaded 74 times
Description Simulation data from the analytical results (using Mathematica) as described in the 'Supporting Information 4'. ReadMe files are contained within the .zip archive.
Download Mathematica_SimulationData.zip (422.8 Mb)
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When using this data, please cite the original publication:

Matuszewski S, Hermisson J, Kopp M (2014) Fisher's geometric model with a moving optimum. Evolution 68(9): 2571-2588. http://dx.doi.org/10.1111/evo.12465

Additionally, please cite the Dryad data package:

Matuszewski S, Hermisson J, Kopp M (2014) Data from: Fisher's geometric model with a moving optimum. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.534f0.2
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