Genetics

View this topic in
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

Back to Top

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


More Conferences

Periodicals related to Genetics

Back to Top

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

Back to Top

Multimedia based fitness function optimization through evolutionary game learning

Sanjay M Shah; Chirag S Thaker; Dharm Singh 2011 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC), 2011

One of the areas of Artificial intelligence is Board Game Playing. Game- playing programs are often described as being a combination of search and knowledge. The board games are very popular. Board Games provide dynamic environments that make them ideal area of computational intelligence theories, architectures, and algorithms. Building a quality evaluation function is usually a lot of manual hard ...


Notice of Violation of IEEE Publication Principles<BR>Agent Based Morphological Approach for Collaborative Shape Formation of Self-Organizable Unmanned Aerial Vehicles

Kiwon Yeom; Bum-Jae You 2013 IEEE 10th International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013

Notice of Violation of IEEE Publication Principles "Agent Based Morphological Approach for Collaborative Shape Formation of Self- Organizable Unmanned Aerial Vehicles" by Kiwon Yeom, Bum-Jae You in the Proceedings of the IEEE International Conference on High Performance Computing and Communications (HPCC) & IEEE International Conference on Embedded and Ubiquitous Computing (EUC), November 2013, pp. 85-92 After careful and considered review ...


Splice Site Recognition in DNA Sequences Using K-mer Frequency Based Mapping for Support Vector Machine with Power Series Kernel

Robertas Damaševicius 2008 International Conference on Complex, Intelligent and Software Intensive Systems, 2008

Recognition of specific functionally-important DNA sequence fragments is considered one of the most important problems in bioinformatics. One type of such fragments is splice-junction (intron-exon or exon-intron) sites. Detection of splice-junction sites in DNA sequences is important for successful gene prediction. In this paper, support vector machine (SVM) is used for classification of DNA sequences and splice-site recognition. For optimal ...


Genetic Clustering Algorithm for Extractive Text Summarization

Sebastian Suarez Benjumea; Elizabeth León 2015 IEEE Symposium Series on Computational Intelligence, 2015

Automatic text summarization has become a relevant topic due to the information overload. This automatization aims to help humans and machines to deal with the vast amount of text data (structured and un-structured) offered on the web and deep web. In this paper a novel approach for automatic extractive text summarization called SENCLUS is presented. Using a genetic clustering algorithm, ...


An online response system for anomaly traffic by incremental mining with genetic optimization

Ming-Yang Su; Sheng-Cheng Yeh Journal of Communications and Networks, 2010

A flooding attack, such as DoS or Worm, can be easily created or even downloaded from the Internet, thus, it is one of the main threats to servers on the Internet. This paper presents an online real-time network response system, which can determine whether a LAN is suffering from a flooding attack within a very short time unit. The detection ...


More Xplore Articles

Educational Resources on Genetics

Back to Top

eLearning

Multimedia based fitness function optimization through evolutionary game learning

Sanjay M Shah; Chirag S Thaker; Dharm Singh 2011 International Conference on Emerging Trends in Networks and Computer Communications (ETNCC), 2011

One of the areas of Artificial intelligence is Board Game Playing. Game- playing programs are often described as being a combination of search and knowledge. The board games are very popular. Board Games provide dynamic environments that make them ideal area of computational intelligence theories, architectures, and algorithms. Building a quality evaluation function is usually a lot of manual hard ...


Notice of Violation of IEEE Publication Principles<BR>Agent Based Morphological Approach for Collaborative Shape Formation of Self-Organizable Unmanned Aerial Vehicles

Kiwon Yeom; Bum-Jae You 2013 IEEE 10th International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013

Notice of Violation of IEEE Publication Principles "Agent Based Morphological Approach for Collaborative Shape Formation of Self- Organizable Unmanned Aerial Vehicles" by Kiwon Yeom, Bum-Jae You in the Proceedings of the IEEE International Conference on High Performance Computing and Communications (HPCC) & IEEE International Conference on Embedded and Ubiquitous Computing (EUC), November 2013, pp. 85-92 After careful and considered review ...


Splice Site Recognition in DNA Sequences Using K-mer Frequency Based Mapping for Support Vector Machine with Power Series Kernel

Robertas Damaševicius 2008 International Conference on Complex, Intelligent and Software Intensive Systems, 2008

Recognition of specific functionally-important DNA sequence fragments is considered one of the most important problems in bioinformatics. One type of such fragments is splice-junction (intron-exon or exon-intron) sites. Detection of splice-junction sites in DNA sequences is important for successful gene prediction. In this paper, support vector machine (SVM) is used for classification of DNA sequences and splice-site recognition. For optimal ...


Genetic Clustering Algorithm for Extractive Text Summarization

Sebastian Suarez Benjumea; Elizabeth León 2015 IEEE Symposium Series on Computational Intelligence, 2015

Automatic text summarization has become a relevant topic due to the information overload. This automatization aims to help humans and machines to deal with the vast amount of text data (structured and un-structured) offered on the web and deep web. In this paper a novel approach for automatic extractive text summarization called SENCLUS is presented. Using a genetic clustering algorithm, ...


An online response system for anomaly traffic by incremental mining with genetic optimization

Ming-Yang Su; Sheng-Cheng Yeh Journal of Communications and Networks, 2010

A flooding attack, such as DoS or Worm, can be easily created or even downloaded from the Internet, thus, it is one of the main threats to servers on the Internet. This paper presents an online real-time network response system, which can determine whether a LAN is suffering from a flooding attack within a very short time unit. The detection ...


More eLearning Resources

IEEE-USA E-Books

  • The Human Mind: Metaphor of the World

    This chapter contains sections titled: Mind-Brain Duality, Emergent Complexity, Three Levels of Abstraction and Two Operational Spaces, Proprioception, Perception and Knowledge, Memory and Learning, The Magical Number Seven (Plus or Minus Two), Attention, Thought, Decision Making and Problem Solving, Language, Emotions, Consciousness and Qualia, Intelligence, Born or Made? Genetics or Learning, Summary

  • An Algebra for Theoretical Genetics Ph.D. Dissertation, Massachusetts Institute of Technology, 1940.

    In this thesis, an algebra is constructed for studying the dynamics of Mendelian populations. The symbols of the algebra represent groups of individuals or populations. The indexed symbol ?h J i k, for example, represents a population in which two gene loci are under consideration (the number of loci corresponds to the number of pairs of indices). The number of allelomorphs in each locus is completely arbitrary, as is the recombination value for the loci. The different components of a population symbol, represented by fixing the indices at specific values, are numbers whose values correspond to the fractions of the population with certain genetic formulae. It is convenient in some cases to consider as populations symbols whose components are negative or even complex. Such symbols cannot, of course, represent an actual group of individuals and are called unrealizable populations, but their use sometimes facilitates the solution of problems. Addition of two population symbols, R?h j i k + S?h j i k, results in a third population symbol which is defined in such a way as to represent the population obtained by merely combining the original populations in fractional proportions corresponding to the scalar coefficients R and S. Cross multiplication of population symbols ?h j i k ? ?h j i k gives a population symbol which is defined in such a way as to represent the expected offspring population when the two original populations are crossmated at random. When two gene loci are considered, this is realized by the mathematical definition ?h j i k ? ?h j i k = 1/2[p0?h ? i ? + p1?h ? ? i][p0?j ? k ? + p1?j ? ? k] + 1/2[p0?j ? k ? + p1?j ? ? k][p0?h ? i ? + p1?h ? ? i] in which p 1 = 1 - p0 is the recombination value for the two loci, and replacing an index by a dot indicates summation of the population symbol on that index. Cross multiplication is defined analogously for n loci . It is shown that this algebra is commutative on addition and multiplication, distributive, and associative on addition but not on multiplication. These laws together with two fundamental manipulation theorems: one, that summation of a population on all indices gives unity and two, that inverting the upper and lower rows of indices of a population leaves it unchanged, form the basic algorithms of the algebra. A number of the well known theorems of theoretical genetics are easily proved by means of this algebra. In addition, a number of new results are found. Completely general formulae for the nth generation offspring under random intermating of an arbitrary initial population are developed both for the cases of two and of three linked factors. For two linked factors, the formula for the nth generation is ?h j i k = [p n-1 0(p0?h ? i ? + p1?h ? ? i) + (1 - p n-1 0 )?h ? ? ??? ? i ?) [p n-1 0(p0?j ? k ? +p1?j ? ? k) + (1 -n-1 0)?j ? ? ??? ? ? ? k ?] in which ?h j i k is the initial population and p1 the recombination value. Incidental to this, it is shown that a recombination value > 1/2 is impossible when there is no interference. Conditions are found for the stability under random intermating of a population when one or more loci are considered. For the case of one locus, three sets of equivalent necessary and sufficient conditions are established. By means of certain homogeneous ? populations an arbitrary population may be expanded in a finite series displaying its various components. This expansion, together with the multiplication law for the ? populations, displays the elements of this algebra as hypercomplex numbers. It is shown that an arbitrary population may be expanded uniquely as a sum of any n linearly independent populations where n is the number of different possible genetic formulae for the factors considered. It is possible to write down various types of equations involving known and unknown populations using the operations of addition and cross multiplication. In general, such an equation can be interpreted as a breeding experiment i...

  • Distributed Data

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

  • Notes to Part C

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

  • No title

    Information theory (IT) tools, widely used in scientific fields such as engineering, physics, genetics, neuroscience, and many others, are also emerging as useful transversal tools in computer graphics. In this book, we present the basic concepts of IT and how they have been applied to the graphics areas of radiosity, adaptive ray-tracing, shape descriptors, viewpoint selection and saliency, scientific visualization, and geometry simplification. Some of the approaches presented, such as the viewpoint techniques, are now the state of the art in visualization. Almost all of the techniques presented in this book have been previously published in peer- reviewed conference proceedings or international journals. Here, we have stressed their common aspects and presented them in an unified way, so the reader can clearly see which problems IT tools can help solve, which specific tools to use, and how to apply them. A basic level of knowledge in computer graphics is required but basic concepts i IT are presented. The intended audiences are both students and practitioners of the fields above and related areas in computer graphics. In addition, IT practitioners will learn about these applications. Table of Contents: Information Theory Basics / Scene Complexity and Refinement Criteria for Radiosity / Shape Descriptors / Refinement Criteria for Ray-Tracing / Viewpoint Selection and Mesh Saliency / View Selection in Scientific Visualization / Viewpoint-based Geometry Simplification

  • Index

    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.

  • Glossary of Important Symbols

    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.

  • No title

    Heredity performs literal communication of immensely long genomes through immensely long time intervals. Genomes nevertheless incur sporadic errors referred to as mutations which have significant and often dramatic effects, after a time interval as short as a human life. How can faithfulness at a very large timescale and unfaithfulness at a very short one be conciliated? The engineering problem of literal communication has been completely solved during the second half of the XX-th century. Originating in 1948 from Claude Shannon's seminal work, information theory provided means to measure information quantities and proved that communication is possible through an unreliable channel (by means left unspecified) up to a sharp limit referred to as its capacity, beyond which communication becomes impossible. The quest for engineering means of reliable communication, named error-correcting codes, did not succeed in closely approaching capacity until 1993 when Claude Berrou and Alain Glavie x invented turbocodes. By now, the electronic devices which invaded our daily lives (e.g., CD, DVD, mobile phone, digital television) could not work without highly efficient error-correcting codes. Reliable communication through unreliable channels up to the limit of what is theoretically possible has become a practical reality: an outstanding achievement, however little publicized. As an engineering problem that nature solved aeons ago, heredity is relevant to information theory. The capacity of DNA is easily shown to vanish exponentially fast, which entails that error- correcting codes must be used to regenerate genomes so as to faithfully transmit the hereditary message. Moreover, assuming that such codes exist explains basic and conspicuous features of the living world, e.g., the existence of discrete species and their hierarchical taxonomy, the necessity of successive generations and even the trend of evolution towards increasingly complex beings. Providing geneticists with an int oduction to information theory and error-correcting codes as necessary tools of hereditary communication is the primary goal of this book. Some biological consequences of their use are also discussed, and guesses about hypothesized genomic codes are presented. Another goal is prompting communication engineers to get interested in genetics and biology, thereby broadening their horizon far beyond the technological field, and learning from the most outstanding engineer: Nature. Table of Contents: Foreword / Introduction / A Brief Overview of Molecular Genetics / An Overview of Information Theory / More on Molecular Genetics / More on Information Theory / An Outline of Error- Correcting Codes / DNA is an Ephemeral Memory / A Toy Living World / Subsidiary Hypothesis, Nested System / Soft Codes / Biological Reality Conforms to the Hypotheses / Identification of Genomic Codes / Conclusion and Perspectives

  • Index

    In this book, Lino Camprub¿¿ argues that science and technology were at the very center of the building of Franco's Spain. Previous histories of early Francoist science and technology have described scientists and engineers as working "under" Francoism, subject to censorship and bound by politically mandated research agendas. Camprub¿¿ offers a different perspective, considering instead scientists' and engineers' active roles in producing those political mandates. Many scientists and engineers had been exiled, imprisoned, or executed by the regime. Camprub¿¿ argues that those who remained made concrete the mission of "redemption" that Franco had invented for himself. This gave them the opportunity to become key actors -- and mid-level decision makers -- within the regime. Camprub¿¿ describes a series of projects across Spain undertaken by the civil engineers and agricultural scientists who placed themselves at the center of their country's forced modernization. These include a coal silo, built in 1953, viewed as an embodiment of Spain's industrialized landscape; links between laboratories, architects, and the national Catholic church (and between technology and authoritarian control); vertically organized rice production and research on genetics; river management and the contested meanings of self-sufficiency; and the circulation of construction standards by mobile laboratories as an engine for European integration. Separately, each chapter offers a fascinating microhistory that illustrates the coevolution of Francoist science, technology, and politics. Taken together, they reveal networks of people, institutions, knowledge, artifacts, and technological systems woven together to form a new state.

  • Crossing-Over of Art History and Media History in the Times of the Early Internet&#x2014;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.



Standards related to Genetics

Back to Top

No standards are currently tagged "Genetics"