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Consensus, multiplex and degenerate primers, oligonucleotide database, secondary structure and difficult sequencing for researchers in PCR and related technologies. Developed since 1989, by Molecular Biology Insights Inc.
This course presents an overview of the field of Evolutionary Systems and its applied branch of Artificial Life. The historical and philosophical foundations of evolutionary thought are explored with particular emphasis on computational simulations of its models. Topics include: Self-Organizing Systems, Natural Selection, Dynamic Systems, Boolean Networks, Cellular Automata, Genetic Algorithms, and Evolutionary Robotics.
Watch creatures based on a neural network learn to solve simple problems (eating the right foods, escaping traps) through random mutations and selection of the fittest. Highly configurable, with a modular structure.
A java-based simulation illustrating natural selection in action, with a dynamic environment affected by simulated biological activity. Requires Java 2 plug-in. Contextual help, explanatory material available.
Offers programs and custom development for the visualization, analysis and classification of gene expression and proteomics data, image-guided surgery and information technology. Based in Inverary, Ontario.
An artificial life software in some ways similar to C-Robots and other programming games. Every simulated creature is a virtual robot with complex input and outputs and each DNA is a program that acts on a memory cells array. Freeware.
Program for statistical analysis and evaluation of the biological significance from microarray data. Includes key features, registration and download for Windows and Linux.