Genetic Differentiation
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Circuitscape for Mac OS X v.3.5.8
Circuitscape is a free, open-source program which borrows algorithms from electronic circuit theory to predict patterns of movement, gene flow, and genetic differentiation among plant and animal populations in heterogeneous landscapes.
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RecodeData v.0.1
RecodeData recode genetic marker data with this tool, help you recode genetic marker data in such a way that all alleles are population specific. This is convenient if you want to calculate the standardized genetic differentiation measure that was
Circuitscape v.3.5.7
Predict gene flow with this tool. Circuitscape can borrow algorithms from electronic circuit theory to predict patterns of movement, gene flow, and genetic differentiation among plant and animal populations in heterogeneous landscapes. Circuit theory
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 System Component (ActiveX) v.1.0
Genetic System can be used to solve optimization problems. This component can be used to construct binary genetic system, it provides user with appropriate functionality to control the generation. Following features are provided: Unlimited
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.