Genetics

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Genetics (from Ancient Greek γενετικός genetikos, "genitive" and that from γένεσις genesis, "origin"), a discipline of biology, is the science of genes, heredity, and variation in living organisms. (Wikipedia.org)






Conferences related to Genetics

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2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.


2014 IEEE Congress on Evolutionary Computation (CEC)

IEEE Congress on Evolutionary Computation is the largest technical event in the field of evolutionary computation. In 2014, International Joint Conference on Neural Networks will be part of the 2104 IEEE World Congress on Computational Intelligence.

  • 2013 IEEE Congress on Evolutionary Computation (CEC)

    CEC 2013 will bring together researchers and practitioners in the field of evolutionary computation and computational intelligence from around the globe. Theory, applications, algorithmic developments and all other aspects of evolutionary computation and related areas (i.e., any other bio-inspired metaheuristics) are welcome to contribute to this conference.

  • 2012 IEEE Congress on Evolutionary Computation (CEC)

    The annual IEEE CEC is one of the leading events in the field of evolutionary computation.

  • 2011 IEEE Congress on Evolutionary Computation (CEC)

    Annual Congress on Evolutionary Computation.

  • 2010 IEEE Congress on Evolutionary Computation (CEC)

  • 2009 IEEE Congress on Evolutionary Computation (CEC)

    CEC 2009 will feature a world-class conference that aims to bring together researchers and practitioners in the field of evolutionary computation and computational intelligence from all around the globe. Technical exchanges within the research community will encompass keynote speeches, special sessions, tutorials, panel discussions as well as poster presentations.

  • 2008 IEEE Congress on Evolutionary Computation (CEC)

    Composed of the International Joint Conference on Neural Networks (IJCNN), IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) and IEEE Congress on Evolutionary Computation (CEC), WCCI 2008 will be the largest technical event on computational intelligence in the world

  • 2007 IEEE Congress on Evolutionary Computation (CEC)

  • 2006 IEEE Congress on Evolutionary Computation (CEC)

  • 2005 IEEE Congress on Evolutionary Computation (CEC)


2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS)

GEFS2013 will provide an opportunity to meet researchers working on the topic, make new contacts and exchange ideas. The GEFS series of workshops are an important part of the activities of the Evolutionary Fuzzy Systems Task Force of the Fuzzy System Technical Committee (IEEE Computational Intelligence Society).

  • 2010 4th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS)

    Genetic and evolutionary fuzzy systems meld the approximate reasoning method of fuzzy systems with the adaptation capabilities of evolutionary algorithms. The objective of GEFS2010 is to facilitate the promotion of novel problems, research, results, and future directions in the latter growing area.

  • 2008 3rd International Workshop on Genetic and Evolving Fuzzy Systems (GEFS)

    One of the most prominent approaches to hybridize fuzzy systems with learning and adaptation methods has resulted in the emergence of genetic and evolving fuzzy systems, which combine the approximate reasoning method of fuzzy systems with the adaptation capabilities of evolutionary algorithms. Fuzzy systems have demonstrated the ability to formalize in a computationally efficient manner the approximate reasoning typical of humans.


2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)

The annual IEEE International Conference on Bioinformatics and Bioengineering covers complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, agriculture, environment, public health, drug design, and so on.

  • 2011 IEEE 11th International Conference on Bioinformatics & Bioengineering (BIBE)

    The annual IEEE International Conference on Bioinformatics and Bioengineering aims at building synergy between Bioinformatics and Bioengineering, two complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, agriculture, environment, public health, drug design.

  • 2010 International Conference on BioInformatics and BioEngineering (BIBE)

  • 2009 9th IEEE International Conference on BioInformatics and BioEngineering - BIBE

    The annual IEEE International Conference on Bioinformatics and Bioengineering aims at building synergy between Bioinformatics and Bioengineering, two complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, agriculture, environment, public health, drug design. Research and development in these two areas are impacting the science and technology in fields such as medicine, food production, forensics, etc.

  • 2008 8th IEEE International Conference on BioInformatics and BioEngineering - BIBE

    The annual IEEE International Conference on Bioinformatics and Bioengineering aims at building synergy between Bioinformatics and Bioengineering, two complementary disciplines that hold great promise for the advancement of research and development in complex medical and biological systems, agriculture, environment, public health, drug design.


2011 Sixth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)

Bio-Inspired Computing: Theories and Applications (BIC-TA) is one of the flagship conferences on Bio-Computing bringing together the world's leading scientists from different branches of Natural Computing. Since 2006 the conferences have taken place at Wuhan (2006), Zhengzhou (2007), Adelaide (2008), Beijing (2009) and Liverpool & Changsha (2010). The 6th International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA 2011) is being organised for the first time in Malaysia at Universi

  • 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA)

    BIC-TA 2010 aims to provide a high-level international forum for researchers with different backgrounds working in the main areas of natural computing inspired by biology to present their latest results and exchange ideas. The scopes of BIC-TA2010 maily includes Evolutionary computing and genetic algorithms, DNA and molecular computing, Membrane computing, Bioinformatics and cheminformatics, Computational biology and drug design, Systems biology and synthetic biology, Computational genomics and proteomics,C


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Periodicals related to Genetics

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Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


Evolutionary Computation, IEEE Transactions on

Papers on application, design, and theory of evolutionary computation, with emphasis given to engineering systems and scientific applications. Evolutionary optimization, machine learning, intelligent systems design, image processing and machine vision, pattern recognition, evolutionary neurocomputing, evolutionary fuzzy systems, applications in biomedicine and biochemistry, robotics and control, mathematical modelling, civil, chemical, aeronautical, and industrial engineering applications.


Knowledge and Data Engineering, IEEE Transactions on

Artificial intelligence techniques, including speech, voice, graphics, images, and documents; knowledge and data engineering tools and techniques; parallel and distributed processing; real-time distributed processing; system architectures, integration, and modeling; database design, modeling, and management; query design, and implementation languages; distributed database control; statistical databases; algorithms for data and knowledge management; performance evaluation of algorithms and systems; data communications aspects; system ...


Professional Communication, IEEE Transactions on

The study, development, improvement, and promotion of techniques for preparing, organizing for use, processing, editing, collecting, conserving, and disseminating any form of information in the electrical and electronics fields.




Xplore Articles related to Genetics

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EPOCH® and ePRISM®: A web-based translational framework for bridging outcomes research and clinical practice

G. E. Soto; J. A. Spertus 2007 Computers in Cardiology, 2007

In an era where novel clinical, biochemical, genetic and imaging determinants impacting patient outcomes are being continuously discovered, the field of outcomes research offers clinicians and patients the potential to make better informed health care decisions through the use of sophisticated risk- adjustment models that incorporate patientspsila unique clinical characteristics. EPOCHreg and ePRISMreg comprise a novel application suite for delivering ...


cDNA microarray analysis of human umbilical vein endothelial cells subjected to cyclic mechanical strain

S. R. Frye; S. G. Eskin; L. V. McIntire Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology, 2002

Endothelial cells are constantly subjected to mechanical forces due to blood flow. The forces have been implicated in vascular pathogenesis; therefore, the consequences of these forces need to be examined. Using cDNA microarray technology, we studied the gene expression of human umbilical vein endothelial cells subjected to a 10% cyclic strain for 6 and 24 hours. Of the 4000 genes ...


A multi-objective evolutionary algorithm with ε-dominance to calculate multicast routes with QoS requirements

Gina M. B. Oliveira; Stefano S. B. V. Vita 2009 IEEE Congress on Evolutionary Computation, 2009

Multicasting routing is an effective way to communicate among multiple hosts in computer networks. Usually multiple quality of service (QoS) guarantees are required in most of multicast applications. Several researchers have investigated genetic algorithms-based models for multicast route computation with QoS requirements. The evolutionary models proposed here use multi- objective approaches in a Pareto sense to solve this problem and ...


A New Genetic Algorithm Combined Cultivating with Migrating Operators

Zhurong Wang; Jing Liu; Duwu Cui 2010 International Conference on Electrical and Control Engineering, 2010

A new genetic algorithm, combined cultivating with migrating operators (CMGA), is proposed. Cultivating operator can make gene segments of chromosomes keep superior characteristics at a higher probability. A new migrating schema with directed direction guided by illumination information is discussed, and it can overcome the blindness and invalidity in genetic operations. We focus on key factors of cultivating operator, migrating ...


An analysis of the effects of clustering in graph-based evolutionary algorithms

Cherhan Foo; Michael Kirley 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), 2008

Recently, there has been increased interest in combining work from the complex networks domain with evolutionary computation to solve challenging search and optimization problems. Typically, individuals in the evolving population occupy a node in a graph (or network) and are only allowed to mate with individuals within their local neighbourhood. The use of specific graph topologies have been shown to ...


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Educational Resources on Genetics

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eLearning

EPOCH® and ePRISM®: A web-based translational framework for bridging outcomes research and clinical practice

G. E. Soto; J. A. Spertus 2007 Computers in Cardiology, 2007

In an era where novel clinical, biochemical, genetic and imaging determinants impacting patient outcomes are being continuously discovered, the field of outcomes research offers clinicians and patients the potential to make better informed health care decisions through the use of sophisticated risk- adjustment models that incorporate patientspsila unique clinical characteristics. EPOCHreg and ePRISMreg comprise a novel application suite for delivering ...


cDNA microarray analysis of human umbilical vein endothelial cells subjected to cyclic mechanical strain

S. R. Frye; S. G. Eskin; L. V. McIntire Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology, 2002

Endothelial cells are constantly subjected to mechanical forces due to blood flow. The forces have been implicated in vascular pathogenesis; therefore, the consequences of these forces need to be examined. Using cDNA microarray technology, we studied the gene expression of human umbilical vein endothelial cells subjected to a 10% cyclic strain for 6 and 24 hours. Of the 4000 genes ...


A multi-objective evolutionary algorithm with ε-dominance to calculate multicast routes with QoS requirements

Gina M. B. Oliveira; Stefano S. B. V. Vita 2009 IEEE Congress on Evolutionary Computation, 2009

Multicasting routing is an effective way to communicate among multiple hosts in computer networks. Usually multiple quality of service (QoS) guarantees are required in most of multicast applications. Several researchers have investigated genetic algorithms-based models for multicast route computation with QoS requirements. The evolutionary models proposed here use multi- objective approaches in a Pareto sense to solve this problem and ...


A New Genetic Algorithm Combined Cultivating with Migrating Operators

Zhurong Wang; Jing Liu; Duwu Cui 2010 International Conference on Electrical and Control Engineering, 2010

A new genetic algorithm, combined cultivating with migrating operators (CMGA), is proposed. Cultivating operator can make gene segments of chromosomes keep superior characteristics at a higher probability. A new migrating schema with directed direction guided by illumination information is discussed, and it can overcome the blindness and invalidity in genetic operations. We focus on key factors of cultivating operator, migrating ...


An analysis of the effects of clustering in graph-based evolutionary algorithms

Cherhan Foo; Michael Kirley 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence), 2008

Recently, there has been increased interest in combining work from the complex networks domain with evolutionary computation to solve challenging search and optimization problems. Typically, individuals in the evolving population occupy a node in a graph (or network) and are only allowed to mate with individuals within their local neighbourhood. The use of specific graph topologies have been shown to ...


More eLearning Resources

IEEE.tv Videos

No IEEE.tv Videos are currently tagged "Genetics"

IEEE-USA E-Books

  • Schemata

    Genetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the design of complex devices such as aircraft turbines and integrated circuits. Adaptation in Natural and Artificial Systems is the book that initiated this field of study, presenting the theoretical foundations and exploring applications.In its most familiar form, adaptation is a biological process, whereby organisms evolve by rearranging genetic material to survive in environments confronting them. In this now classic work, Holland presents a mathematical model that allows for the nonlinearity of such complex interactions. He demonstrates the model's universality by applying it to economics, physiological psychology, game theory, and artificial intelligence and then outlines the way in which this approach modifies the traditional views of mathematical genetics.Initially applying his concepts to simply defined artificial systems with limited numbers of parameters, Holland goes on to explore their use in the study of a wide range of complex, naturally occuring processes, concentrating on systems having multiple factors that interact in nonlinear ways. Along the way he accounts for major effects of coadaptation and coevolution: the emergence of building blocks, or schemata, that are recombined and passed on to succeeding generations to provide, innovations and improvements.John H. Holland is Professor of Psychology and Professor of Electrical Engineering and Computer Science at the University of Michigan. He is also Maxwell Professor at the Santa Fe Institute and is Director of the University of Michigan/Santa Fe Institute Advanced Research Program.

  • The Society Theory of Thinking

    This chapter contains sections titled: Background, Short Term Memory, Methodology: Performance vs. Development, Genesis of Fixed Location Assignments, Communication Cells and the "Specificity Gradient", Neurological Speculations: the "Laminar Hypothesis", Genetics and Connections of Agents, Communication, Temporary Storage and Recursion, General Memory, Emergence of Cognitive "Universals", Minitheory 1, Minitheory 2, Minitheory 3, Are the Cognitive Cases "Universal?", Description and Language, Notes, References

  • Crossing-Over of Art History and Media History in the Times of the Early Internet—with Special Regard to THE THING NYC

    Crossing-over is a term used in genetics to describe a chromosomal event, which leads to new combinations of genes. In this chapter, the term is used for a cultural phenomenon. In the early days of the Internet, art history crossed the path of media history, and, subsequently, both disciplines conveyed characteristics of each other.

  • Distributed Data

    This chapter contains sections titled: Cultures of Data Sharing, Marine Mammal Science: SPLASH, Psychiatric Genetics: GAIN, Data Sharing in Sweden, Conclusion

  • Practical Sparse Modeling An Overview and Two Examples from Genetics

    This chapter contains sections titled: 1 Sparse Modeling Road Map, 2 Example 1: Genome-Wide Association Studies (GWAS), 3 Example 2: Gene Microarray Data Analysis, 4 Random Lasso, 5 Summary, Note, References

  • No title

    This book brings together five topics on the application of Boolean functions. They are 1. Equivalence classes of Boolean functions: The number of n-variable functions is large, even for values as small as n = 6, and there has been much research on classifying functions. There are many classifications, each with their own distinct merit. 2. Boolean functions for cryptography: The process of encrypting/decrypting plaintext messages often depends on Boolean functions with specific properties. For example, highly nonlinear functions are valued because they are less susceptible to linear attacks. 3. Boolean differential calculus: An operation analogous to taking the derivative of a real-valued function offers important insight into the properties of Boolean functions. One can determine tests or susceptibility to hazards. 4. Reversible logic: Most logic functions are irreversible; it is impossible to reconstruct the input, given the output. However, Boolean functions that are reversible ar necessary for quantum computing, and hold significant promise for low-power computing. 5. Data mining: The process of extracting subtle patterns from enormous amounts of data has benefited from the use of a graph-based representation of Boolean functions. This has use in surveillance, fraud detection, scientific discovery including bio-informatics, genetics, medicine, and education. Written by experts, these chapters present a tutorial view of new and emerging technologies in Boolean functions. Table of Contents: Equivalence Classes of Boolean Functions / Boolean Functions for Cryptography / Boolean Differential Calculus / Synthesis of Boolean Functions in Reversible Logic / Data Mining Using Binary Decision Diagrams

  • One Grain, One Nation: Rice Genetics and the Corporate State (1936–1952)

    This chapter contains sections titled: 4.1 The "Rice of Victory", 4.2. Breeding Experts, 4.3. Seeds for the Nation, 4.4 The National Crop from One Grain, 4.5 Conclusion

  • Measuring Biological Complexity in Digital Organisms

    We define biological complexity as the genetic information that an organism has about its environment. We have significantly improved methods to measure complexity based on Sharmon Information Theory and the principle of mutation- selection balance from population genetics. The previous method of Adami et al. was a population-based measure; it examined the information content of all genomes corresponding to the same phenotype. This population-based method had inherent limitations to its ability to approximate complexity: it requires a full population that must be at equilibrium, genomes must be fixed-length, and the environment must have only a single niche. Our new method overcomes these difficulties because it is genome-based rather than population-based. We approximate the total information in a genome as the sum of the information at each locus. The information content of a position is calculated by testing all of the possible mutations at that position and measuring the expected frequencies of potential genes in the mutation-selection equilibrium state. We discuss how this method reveals the way information is embedded in the organism during the evolutionary process.

  • Bibliography

    Genetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the design of complex devices such as aircraft turbines and integrated circuits. Adaptation in Natural and Artificial Systems is the book that initiated this field of study, presenting the theoretical foundations and exploring applications.In its most familiar form, adaptation is a biological process, whereby organisms evolve by rearranging genetic material to survive in environments confronting them. In this now classic work, Holland presents a mathematical model that allows for the nonlinearity of such complex interactions. He demonstrates the model's universality by applying it to economics, physiological psychology, game theory, and artificial intelligence and then outlines the way in which this approach modifies the traditional views of mathematical genetics.Initially applying his concepts to simply defined artificial systems with limited numbers of parameters, Holland goes on to explore their use in the study of a wide range of complex, naturally occuring processes, concentrating on systems having multiple factors that interact in nonlinear ways. Along the way he accounts for major effects of coadaptation and coevolution: the emergence of building blocks, or schemata, that are recombined and passed on to succeeding generations to provide, innovations and improvements.John H. Holland is Professor of Psychology and Professor of Electrical Engineering and Computer Science at the University of Michigan. He is also Maxwell Professor at the Santa Fe Institute and is Director of the University of Michigan/Santa Fe Institute Advanced Research Program.

  • Notes to Part C

    This chapter contains sections titled: [3] An Algebra for Theoretical Genetics



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