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Evolving populations
ΒΆ
Mating Schemes
Control the size of the offspring generation
Advanced use of demographic functions *
Determine the number of offspring during mating
Dynamic population size determined by number of offspring *
Determine sex of offspring
Monogamous mating
Polygamous mating
Asexual random mating
Mating in haplodiploid populations
Self-fertilization
Heterogeneous mating schemes *
Conditional mating schemes
Simulator
Add, access and remove populations from a simulator
Number of generations to evolve
Evolve populations in a simulator
Non-random and customized mating schemes *
The structure of a homogeneous mating scheme *
Offspring generators *
Genotype transmitters *
A Python parent chooser *
Using C++ to implement a parent chooser **
Age structured populations with overlapping generations **
Tracing allelic lineage *
Pedigrees
Create a pedigree object
Locate close and remote relatives of each individual
Identify pedigrees (related individuals)
Save and load pedigrees
Evolve a population following a specified pedigree structure **
Simulation of mitochondrial DNAs (mtDNAs) *
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