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SimEvolv: a population genetics simulation software to study the evolutionary properties of complex genetic architectures

Authors: Le Rouzic, Arnaud; Rünneburger, Estelle;

SimEvolv: a population genetics simulation software to study the evolutionary properties of complex genetic architectures

Abstract

This C++ software is a population genetics tool able to simulate the evolution of complex genetic architectures. This version is a development version from which the results of the manuscript "How and why genetic canalization evolves in regulatory gene networks" (in prep) have been obtained. The data file corresponds to the simulation results.

{"references": ["R\u00fcnneburger, E. and Le Rouzic, A. Why and how genetic canalization evolves in gene regulatory networks. BMC Evol Biol, in press."]}

Keywords

Stochastic simulations, Population genetics, Gene network, Wagner model

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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