DNA

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Deoxyribonucleic acid — DNA — is a nucleic acid that contains the genetic instructions used in the development and functioning of all known living organisms (with the exception of RNA viruses). The main role of DNA molecules is the long-term storage of information. (Wikipedia.org)






Conferences related to DNA

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2012 International Symposium on Micro-NanoMechatronics and Human Science (MHS)

The emphasis of this symposium is on fusions of several different fields and applications of micro-nano mechatronics technologies and human sciences. The symposium focus will be on engineering issues related to broader spectra, ranging from basic applications in robots, actuators, sensors, semiconductors, automobiles, and machine tools to new applications in biomedical systems and life sciences. The conference will feature Plenary, Invited, and Contributed papers (oral and poster sessions).

  • 2011 International Symposium on Micro-NanoMechatronics and Human Science (MHS)

    The emphasis of this symposium is on fusions of several different fields and applications of micro-nano mechatronics technologies and human sciences. The symposium focus will be on engineering issues related to broader spectra, ranging from basic applications in robots, actuators, sensors, semiconductors, automobiles, and machine tools to new applications in biomedical systems and life sciences. The conference will feature Plenary, Invited, and Contributed papers (oral and poster sessions).

  • 2010 International Symposium on Micro-NanoMechatronics and Human Science (MHS)

    The emphasis of this symposium is on fusions of several different fields and applications of micro-nano mechatronics technology and human sciences. The symposium focus will be on engineering issues related to broader spectra, ranging from basic applications in robots, actuators, sensors, semiconductors, automobiles, and machine tools to new applications in biomedical systems and life science. The conference will feature Plenary, Invited, and Contributed papers (oral and poster sessions).

  • 2009 International Symposium on Micro-NanoMechatronics and Human Science (MHS)

    The emphasis of this symposium is on fusions of several different fields and applications of micro-nano mechatronics technology and human sciences. The symposium focus will be on engineering issues related to broader spectra, ranging from basic applications in robots, actuators, sensors, semiconductors, automobiles, and machine tools to new applications in bio-medical systems and life science. The conference will feature Plenary, Invited, and Contributed papers (oral and poster sessions) thematically arrang

  • 2008 International Symposium on Micro-NanoMechatronics and Human Science (MHS)

    The emphasis of this symposium is on fusions of several different fields and applications of micro-nano mechatronics technology and human sciences. The symposium focus will be on engineering issues related to broader spectra, ranging from basic applications in robots, actuators, sensors, semiconductors, automobiles, and machine tools to new applications in bio-medical systems and life science. The conference will feature Plenary, Invited, and Contributed papers (oral and poster sessions) thematically arrang

  • 2007 International Symposium on Micro-NanoMechatronics and Human Science (MHS)

    The emphasis of this symposium is on fusions of several different fields and applications of micro-nano mechatronics technology and human sciences. The symposium focus will be on engineering issues related to broader spectra, ranging from basic applications in robots, actuators, sensors, semiconductors, automobiles, and machine tools to new applications in bio-medical systems and life science. The conference will feature Plenary, Invited and Contributed papers (oral and poster sessions) thematically arrange

  • 2006 IEEE International Symposium on Micro-NanoMechatronics and Human Science (MHS)

  • 2005 IEEE International Symposium on Micro-NanoMechatronics and Human Science (MHS)


TRANSDUCERS 2011 - 2011 16th International Solid-State Sensors, Actuators and Microsystems Conference

Latest progress in physical, chemical and biological microsensors; Latest development in optical, RF, fluidic, biomedical and power MEMS; Most advanced technologies in micro/nano fabrication, packaging and design.



Periodicals related to DNA

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Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...


Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


Geoscience and Remote Sensing, IEEE Transactions on

Theory, concepts, and techniques of science and engineering as applied to sensing the earth, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.


Nanobioscience, IEEE Transactions on

Basic and applied papers dealing both with engineering, physics, chemistry, and computer science and with biology and medicine with respect to bio-molecules and cells. The content of acceptable papers ranges from practical/clinical/environmental applications to formalized mathematical theory. TAB #73-June 2001. (Original name-IEEE Transactions on Molecular Cellular and Tissue Engineering). T-NB publishes basic and applied research papers dealing with the study ...


Nanotechnology, IEEE Transactions on

The proposed IEEE Transactions on Nanotechnology will be devoted to the publication of manuscripts of archival value in the general area of nanotechnology, that is rapidly emerging as one of the fastest growing and most promising new technological developments for the next generation and beyond.


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Xplore Articles related to DNA

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Use DNA origami as a scaffold for self-assembly of optical metamolecules

Yoon Jo Hwang; Shelley F. J. Wickham; Steven D. Perrault; Sanghyun Yoo; Sung Ha Park; William M. Shih; Seungwoo Lee 2015 11th Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR), 2015

A roadmap for assembling optical metamolecule is not yet clear; to address this challenge, herein, we propose to use DNA origami to achieve custom arrangements of metallic nanoparticles for deterministic assembly of optical metamolecules.


Scavenging Effects of Echinacea purpurea Extract and Active Ingredient Against Peroxynitrite

Yun-Jing Luo; Jing-Lin Pan; Yan-Shu Pan; Ru Gang Zhong 2009 3rd International Conference on Bioinformatics and Biomedical Engineering, 2009

The present study was to investigate the protective effect of Echinacea, purpurea (E. purpurea) extract, a natural scavenger of peroxynitrite (ONOO-), on the biomolecules injury induced by ONOO- in vitro. The results showed that E. purpurea extract could prevent the ONOO--mediated damage in tyrosine nitration, low density lipoprotein (LDL) oxidation and DNA strand breaks. The ONOO- scavenging ability of E. ...


Modeling of the Electrical Conductivity of DNA

Vedrana Hodzic; Vildana Hodzic; Robert W. Newcomb IEEE Transactions on Circuits and Systems I: Regular Papers, 2007

The authors have developed a PSpice model of the electrical behavior of DNA molecules for use in nanoelectronic circuit design. To describe the relationship between the current through DNA and the applied voltage we used published results of the direct measurements of electrical conduction through DNA molecules. The experimental dc current-voltage (-) curves show a nonlinear conduction mechanism as well ...


Space bionanorobotic systems: design and applications

C. Mavroidis; A. Ummat 2005 NASA/DoD Conference on Evolvable Hardware (EH'05), 2005

This paper describes novel concepts of space bionanorobotic systems that are based on revolutionary bio-nano-mechanisms formed by protein and DNA based nano-components. Nano-robots are controllable machines at the nano (10-9) meter or molecular scale that are composed of nanoscale components. With the modern scientific capabilities, it has become possible to attempt the creation of nanorobotic devices and interface them with ...


Semisupervised Subspace-Based DNA Encoding and Matching Classifier for Hyperspectral Remote Sensing Imagery

Ailong Ma; Yanfei Zhong; Bei Zhao; Hongzan Jiao; Liangpei Zhang IEEE Transactions on Geoscience and Remote Sensing, 2016

Hyperspectral remote sensing images, which are characterized by their high dimensionality, provide us with the capability to accurately identify objects on the ground. They can also be used to identify subclasses of objects. However, these subclasses are usually embedded in different subspaces due to the complex distribution of pixels in the feature space. In the literature, few hyperspectral image classification ...


More Xplore Articles

Educational Resources on DNA

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eLearning

Use DNA origami as a scaffold for self-assembly of optical metamolecules

Yoon Jo Hwang; Shelley F. J. Wickham; Steven D. Perrault; Sanghyun Yoo; Sung Ha Park; William M. Shih; Seungwoo Lee 2015 11th Conference on Lasers and Electro-Optics Pacific Rim (CLEO-PR), 2015

A roadmap for assembling optical metamolecule is not yet clear; to address this challenge, herein, we propose to use DNA origami to achieve custom arrangements of metallic nanoparticles for deterministic assembly of optical metamolecules.


Scavenging Effects of Echinacea purpurea Extract and Active Ingredient Against Peroxynitrite

Yun-Jing Luo; Jing-Lin Pan; Yan-Shu Pan; Ru Gang Zhong 2009 3rd International Conference on Bioinformatics and Biomedical Engineering, 2009

The present study was to investigate the protective effect of Echinacea, purpurea (E. purpurea) extract, a natural scavenger of peroxynitrite (ONOO-), on the biomolecules injury induced by ONOO- in vitro. The results showed that E. purpurea extract could prevent the ONOO--mediated damage in tyrosine nitration, low density lipoprotein (LDL) oxidation and DNA strand breaks. The ONOO- scavenging ability of E. ...


Modeling of the Electrical Conductivity of DNA

Vedrana Hodzic; Vildana Hodzic; Robert W. Newcomb IEEE Transactions on Circuits and Systems I: Regular Papers, 2007

The authors have developed a PSpice model of the electrical behavior of DNA molecules for use in nanoelectronic circuit design. To describe the relationship between the current through DNA and the applied voltage we used published results of the direct measurements of electrical conduction through DNA molecules. The experimental dc current-voltage (-) curves show a nonlinear conduction mechanism as well ...


Space bionanorobotic systems: design and applications

C. Mavroidis; A. Ummat 2005 NASA/DoD Conference on Evolvable Hardware (EH'05), 2005

This paper describes novel concepts of space bionanorobotic systems that are based on revolutionary bio-nano-mechanisms formed by protein and DNA based nano-components. Nano-robots are controllable machines at the nano (10-9) meter or molecular scale that are composed of nanoscale components. With the modern scientific capabilities, it has become possible to attempt the creation of nanorobotic devices and interface them with ...


Semisupervised Subspace-Based DNA Encoding and Matching Classifier for Hyperspectral Remote Sensing Imagery

Ailong Ma; Yanfei Zhong; Bei Zhao; Hongzan Jiao; Liangpei Zhang IEEE Transactions on Geoscience and Remote Sensing, 2016

Hyperspectral remote sensing images, which are characterized by their high dimensionality, provide us with the capability to accurately identify objects on the ground. They can also be used to identify subclasses of objects. However, these subclasses are usually embedded in different subspaces due to the complex distribution of pixels in the feature space. In the literature, few hyperspectral image classification ...


More eLearning Resources

IEEE-USA E-Books

  • References

    Modern machine learning techniques are proving to be extremely valuable for the analysis of data in computational biology problems. One branch of machine learning, kernel methods, lends itself particularly well to the difficult aspects of biological data, which include high dimensionality (as in microarray measurements), representation as discrete and structured data (as in DNA or amino acid sequences), and the need to combine heterogeneous sources of information. This book provides a detailed overview of current research in kernel methods and their applications to computational biology.Following three introductory chapters -- an introduction to molecular and computational biology, a short review of kernel methods that focuses on intuitive concepts rather than technical details, and a detailed survey of recent applications of kernel methods in computational biology -- the book is divided into three sections that reflect three general trends in current research. The first part presents different ideas for the design of kernel functions specifically adapted to various biological data; the second part covers different approaches to learning from heterogeneous data; and the third part offers examples of successful applications of support vector machine methods.

  • Unmet Needs: Mapping and Understanding Cell Signaling

    This chapter contains sections titled: Cell Signaling, A New Approach Is Required

  • Index

    Engineering has been an essential collaborator in biological research and breakthroughs in biology are often enabled by technological advances. Decoding the double helix structure of DNA, for example, only became possible after significant advances in such technologies as X-ray diffraction and gel electrophoresis. Diagnosis and treatment of tuberculosis improved as new technologies -- including the stethoscope, the microscope, and the X-ray -- developed. These engineering breakthroughs take place away from the biology lab, and many years may elapse before the technology becomes available to biologists. In this book, David Lee argues for concurrent engineering -- the convergence of engineering and biological research -- as a means to accelerate the pace of biological discovery and its application to diagnosis and treatment. He presents extensive case studies and introduces a metric to measure the time between technological development and biological discovery.Investigating a series of major biological discoveries that range from pasteurization to electron microscopy, Lee finds that it took an average of forty years for the necessary technology to become available for laboratory use. Lee calls for new approaches to research and funding to encourage a tighter, more collaborative coupling of engineering and biology. Only then, he argues, will we see the rapid advances in the life sciences that are critically needed for life-saving diagnosis and treatment.

  • Contributors

    Modern machine learning techniques are proving to be extremely valuable for the analysis of data in computational biology problems. One branch of machine learning, kernel methods, lends itself particularly well to the difficult aspects of biological data, which include high dimensionality (as in microarray measurements), representation as discrete and structured data (as in DNA or amino acid sequences), and the need to combine heterogeneous sources of information. This book provides a detailed overview of current research in kernel methods and their applications to computational biology.Following three introductory chapters -- an introduction to molecular and computational biology, a short review of kernel methods that focuses on intuitive concepts rather than technical details, and a detailed survey of recent applications of kernel methods in computational biology -- the book is divided into three sections that reflect three general trends in current research. The first part presents different ideas for the design of kernel functions specifically adapted to various biological data; the second part covers different approaches to learning from heterogeneous data; and the third part offers examples of successful applications of support vector machine methods.

  • Unmet Needs: Cancer Example

    This chapter contains sections titled: Milestones in Cancer, 1893 to Now, How Engineering Can Enable Cancer Biology?, Case Example: BRAF

  • Hidden Markov Models: Applications

    This chapter contains sections titled: Protein Applications, DNA and RNA Applications, Advantages and Limitations of HMMs

  • Classifying Gene Expression Profiles with Evolutionary Computation

    This chapter contains sections titled: DNA Microarray Data Classification Evolutionary Approach to the Problem Gene Selection with Speciated Genetic Algorithm Cancer Classification Based on Ensemble Genetic Programming Conclusion References

  • No title

    Bacterial reporters are live, genetically engineered cells with promising application in bioanalytics. They contain genetic circuitry to produce a cellular sensing element, which detects the target compound and relays the detection to specific synthesis of so-called reporter proteins (the presence or activity of which is easy to quantify). Bioassays with bacterial reporters are a useful complement to chemical analytics because they measure biological responses rather than total chemical concentrations. Simple bacterial reporter assays may also replace more costly chemical methods as a first line sample analysis technique. Recent promising developments integrate bacterial reporter cells with microsystems to produce bacterial biosensors. This lecture presents an in-depth treatment of the synthetic biological design principles of bacterial reporters, the engineering of which started as simple recombinant DNA puzzles, but has now become a more rational approach of choosing and combining s nsing, controlling and reporting DNA 'parts'. Several examples of existing bacterial reporter designs and their genetic circuitry will be illustrated. Besides the design principles, the lecture also focuses on the application principles of bacterial reporter assays. A variety of assay formats will be illustrated, and principles of quantification will be dealt with. In addition to this discussion, substantial reference material is supplied in various Annexes. Table of Contents: Short History of the use of Bacteria for Biosensing and Bioreporting / Genetic Engineering Concepts / Measuring with Bioreporters / Epilogue

  • A Functional Self-Reproducing Cell in a Two-Dimensional Artificial Chemistry

    We show how it is possible to make a self-reproducing cell in an artificial chemistry by surrounding a replicating molecule with a semi-permeable membrane. The molecule can carry an arbitrary amount of information, encoded in a material form as a sequence of bases, as in DNA. The cells produce enzymes through a decoding of their base sequence, and these enzymes trigger reactions essential to the cell's survival. Earlier work in a similar artificial chemistry showed that replicators free in solution could obtain no survival advantage from producing enzymes; here we show that when surrounded by a membrane the replicators can obtain an advantage. We show that the cells reliably reproduce over many generations under environmental pressure for resources. By creating cells in a material-based artificial chemistry we hope that the system might have the potential for open-ended, creative evolution.

  • Index

    Modern machine learning techniques are proving to be extremely valuable for the analysis of data in computational biology problems. One branch of machine learning, kernel methods, lends itself particularly well to the difficult aspects of biological data, which include high dimensionality (as in microarray measurements), representation as discrete and structured data (as in DNA or amino acid sequences), and the need to combine heterogeneous sources of information. This book provides a detailed overview of current research in kernel methods and their applications to computational biology.Following three introductory chapters -- an introduction to molecular and computational biology, a short review of kernel methods that focuses on intuitive concepts rather than technical details, and a detailed survey of recent applications of kernel methods in computational biology -- the book is divided into three sections that reflect three general trends in current research. The first part presents different ideas for the design of kernel functions specifically adapted to various biological data; the second part covers different approaches to learning from heterogeneous data; and the third part offers examples of successful applications of support vector machine methods.



Standards related to DNA

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No standards are currently tagged "DNA"