Genetic Diversity


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SIMCOAL  v.1.0

Simulate molecular genetic diversity with the help of this tool. SIMCOAL is a computer software for the simulation of molecular genetic diversity in an arbitrary number of haploid populations examined for a set of fully linked loci.

AquaSplatche  v.1.0

AquaSplatche is a software to simulate genetic diversity based on a realistic vectorized environment. Simulate genetic diversity with this tool.Classical models of structured populations do not apply well to populations of freshwater fishes,





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Fastsimcoal  v.1.1.1

Fast sequential Markov coalescent simulation of genomic data. fastsimcoal help you efficiently generate genetic diversity for different types of markers along large genomic regions, for both present or ancient samples.

PyPedal for Linux  v.2.0.3

PyPedal is designed as Python module that is supposed to provide instruments for the manipulation of pedigrees.

PyPedal  v.2.0.3

PyPedal is designed as Python module that is supposed to provide instruments for the manipulation of pedigrees.

Genetic Network Analyzer  v.8.0.1

Allows the user to model and simulate genetic regulatory networks. GNA (Genetic Network Analyzer) is a computer tool for the qualitative modeling and simulation of genetic regulatory networks.

Genetic Code  v.1.0

Study the genetic code with this tool. Genetic Code can display the universal genetic code, the one- and three-letter amino acid codes, the biochemical structures of the amino acids,

Desktop Genetic Algorithms  v.PreAlpha

Desktop Genetic Algorithms is a software for analyzing and calculating genetic algorithms. Mainly include the codes of genetic algorithm, interative genetic algorithm, that are written in Java Applcations also included such as function optimization,

Genetic Optimizer  v.1.00

Genetic optimizing of functions with two variables, help you with the genetic optimizing of functions with two variables.

Galileo: a Distributed Genetic Algorithm  v.1.0

Galileo is a library for developing custom distributed genetic algorithms developed in Python.

Genetic Algorithms Framework  v.0.7.0

This is a cross-platform framework for using Genetic Algorithms for solutions.

Genetic Programming Framework  v.3.5.0

The Distributed Genetic Programming Framework is a scalable Java genetic programming environment.

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