GENETICS LEVEL 2

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The Origin of Living Things Introduction The Science of Biology The Nature of Molecules The Chemical Building Blocks of Life The Origin and Early History of Life Biology of the Cell Cell Structure Membranes Cell-Cell Interactions Energetics Energetics Energy And Metabolism How Cells Harvest Energy Photosynthesis Reproduction and Heredity Reproduction and Heredity How Cells Divide Sexual Reproduction And Meiosis Patterns of Inheritance Molecular Genetics Molecular Genetics Molecular Genetics (practical example) Genomes Molecular Genetics And Genomics DNA: The Genetic Material Genes and how they work Control of Gene Expression Cellular Mechanisms of Development Altering the Genetic Message Gene Technology Evolution Genes Within Populations The Evidence for Evolution The Origin of Species How Humans Evolved Ecology and Behaviour Population Ecology Community Ecology Animal Behavior Behavioral Ecology The Global Environment Dynamics of Ecosystems The Biosphere The Future Of The Biosphere Conservation Biology see also (notes) Viruses and simple organisms How We Classify Organisms Viruses Bacteria Protists Fungi Plant Form and Function Evolutionary History of Plants The Plant Body Nutrition and Transport in Plants Plant Growth and reproduction Early Plant Development How Plants Grow in Response to their Environment Plant Genomics Animal Diversity The Noncoelomate Animals Mollusks and Annelids Arthropods Echinoderms Vertebrates Animal Form and Function Organization of the Animal Body Locomotion Fueling Body Activities, Digestion Circulation Respiration Regulating the Animal Body The Nervous System Sensory Systems The Endocrine System The Immune System Maintaining the Internal Environment Sex and Reproduction Vertebrate Development Bioinformatics Bioinformatics - Computational Genetics Bioinformatics-Sequence Genetic Algorithms and Artificial Inteligence AI - Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms Practical Handbook of Genetic Algorithms v2 [Lance Chambers 1995] Chapter 00 - Multi-Niche Crowding for Multi-Modal Search Chapter 01 - Artificial Neural Network Evolution: Learning to Steer a Land Vehicle Chapter 02 - Locating Putative Protein Signal Sequences Chapter 03 - Selection Methods for Evolutionary Algorithms Chapter 04 - Parallel Cooperating Genetic Algorithms: An Application to Robot Motion Planning Chapter 05 - The Boltzmann Selection Procedure Chapter 06 - Structure and Performance of Fine-Grain Parallelism in Genetic Search Chapter 07 - Parameter Estimation for a Generalized Parallel Loop Scheduling Algorithm Chapter 08 - Controlling a Dynamic Physical System Using Genetic-Based Learning Methods Chapter 09 - A Hybrid Approach Using Neural Networks, Simulation, Genetic Algorithms, and Machine Learning for Real-Time Sequencing and Scheduling Problems Chapter 10 - Chemical Engineering Chapter 11 - Vehicle Routing with Time Windows using Genetic Algorithms Chapter 12 - Evolutionary Algorithms and Dialogue Chapter 13 - Incorporating Redundancy and Gene Activation Mechanisms in Genetic search for adapting to Non-Stationary Environments Chapter 14 - Input Space Segmentation with a Genetic Algorithm for Generation of Rule Based Classifier Systems Appendix An Introduction to Genetic Algorithms Genetic Algorithm Tutorial Genetic Algorithms In Engineering And Computer Science Parallel processing, neural networks and genetic algorithms Playing Games with Genetic Algorithms Genetic Programming Genetic Programming-Theory, Implementation, and the Evolution of Unconstrained Solutions Genetic Programming Genetic Programming: A Paradigm for Genetically breeding populations of computer programs to solve problems Genetic Programming In C++

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