Nemo Study the history of phenotypic sets
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Nemo Tags

extractor extract Analyze map simulation simulate simulator statistics network Network Statistics population mutation population display population world population population estimate Mendelian genetics simulation analyze Mendelian genetics Mendelian genetics analysis emulated genetics transmission genetics Genetics Lab genetics research genetics population genetics evolution population distribution genetics algorithm population genetics simulator population genetics Simulate Population Bottleneck Population Bottleneck population genetic simulator Population Simulator Population Dynamics population monitor autotetraploid population transmission genetics analysis simulate transmission genetics population admixture estimate population parameters effective population size population genetic structure simulate evolutionary genetics simulate population population simulation demographic population genetic population define population groups population group haploid population population stratification analyze population population analysis population-genetic simulation

Nemo Description

Nemo is a forward-time, genetically explicit, individual-based, and stochastic simulation software specially built to study the evolution of life history / phenotypic traits and population genetics in a flexible (meta-)population framework. Nemo implements many different life cycle events and evolvable traits with a variety of genetic architectures. Species interaction between a parasite and its host can also be modeled (i.e., Cytoplasmic-Incompatibility inducing endosymbiont: Wolbachia). All this is framed within a flexible metapopulation model that allows for patch-specific carrying capacities, dispersal rates, stochastic extinction/harvesting rates, and demographic stochasticity. Populations can be dynamically modified during a simulation, allowing for population bottlenecks, patch fusion / fisson, population expansion, etc. Spatially heterogenous selection on quantitative traits can also be modelled. Main features: Traits: neutral markers (microsatellites, SNPs) deleterious mutations (with locus-specific fixed or random effects, and dominance) quantitative traits (new in v2.2.0) (with pleiotropic quantitative loci) dispersal (male- and female-specific expression) Wolbachia (maternally-inherited Cytoplasmic-Incompatibility inducing endosymbiont) Life Cycle Events: breeding (with promiscuity, polygyny, monogamy, selfing, and cloning mating systems) disperse (migrant pool/propagule pool island model, 1D & 2D lattice models, etc.) aging (with ceiling patch regulation) viability selection (based on deleterious mutations or stabilizing selection on quantitative traits) extinction/harvesting patch fusion/fission crossing design (full-sib/half-sib designs)

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