RNA

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Ribonucleic acid, or RNA, is one of the three major macromolecules that are essential for all known forms of life. Like DNA, RNA is made up of a long chain of components called nucleotides. (Wikipedia.org)






Conferences related to RNA

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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.

  • 2007 7th IEEE International Conference on BioInformatics and BioEngineering - BIBE

    Bioinformatics and Bioengineering are 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. Research and development in these two areas are impacting the science and technology of fields such as medicine, food production, forensics, etc. by advancing fundamental concepts in molecular biology and in medicine ,by helping us understand living organisms.

  • 2006 IEEE Symposium on Bioinformatics and Bioengineering - BIBE


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 Emerging Information Technology Conference (EITC)



Periodicals related to RNA

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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; ...


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 ...




Xplore Articles related to RNA

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Biological Boundaries and Biological Age: Solutions of Variational Problems

Jacques Demongeot 22nd International Conference on Advanced Information Networking and Applications - Workshops (aina workshops 2008), 2008

If we consider the chronologic age of an organism, it is often unable to give useful information about its stage in the development or aging processes. Then we propose here to use a biological age essentially determined by the number of used mitoses before the Hayflick's limit for the tissues of the critical organs (in the sense where their loss ...


Shape-encoded particle for DNA analysis

Jane Gin Fai Tsai; Zugen Chen; B. Merriman; S. Nelson; Chang-Jin Kim TRANSDUCERS, Solid-State Sensors, Actuators and Microsystems, 12th International Conference on, 2003, 2003

This paper reports the use of a shape-encoded particle (SEP) as a substrate for biochemical probe (such as DNA or protein) attachment and identification. Its application involves large-scale genomic/proteomic analysis of multiple data based on shape-recognizable microparticles. Many samples from different sources (e.g. DNA/RNA from multiple subjects) can be assayed in parallel on the microparticles with known probes immobilized onto ...


Computing with Proteins

Naren Ramakrishnan; Upinder S. Bhalla; John J. Tyson Computer, 2009

Protein-based computers are ripe for spectacular scientific advances because we know a great deal about these circuits' molecular components. But we are only beginning to understand how they process information and make decisions. Of the many types of information processing systems known to us, the least well understood are the complex, intracellular molecular reaction networks that control the physiology of ...


A method for optimizing the design of SPM type magnetic gear based on reluctance network analysis

M. Fukuoka; K. Nakamura; O. Ichinokura 2012 XXth International Conference on Electrical Machines, 2012

Magnetic gears, which can transmit torque without mechanical contact, have low vibration and acoustic noise, and are low maintenance in comparison with conventional mechanical gears. Various types of the magnetic gears have been introduced. Among them, a planetary type magnetic gear has attracted interest recently because its transmission torque is higher than the other types. This paper presents a high-speed ...


Low cost wireless sensors for distribution grid intelligence and resiliency

Arnab Kundu; Asis Nasipuri; Badrul Chowdhury; Darshan Prabhu; Krupa Mahesh; Christopher Grafer; Divya Ravi; K. R. Subramanian SoutheastCon 2017, 2017

Extreme weather events have been known to cause massive disruptions in power leading to significant outages in the recent past. The main goal of this study is to improve situation intelligence in the distribution grid to determine the downed lines, impacted areas, location of healthy lines and nodes, and the amount of distributed generation available at customer locations to serve ...


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Educational Resources on RNA

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eLearning

Biological Boundaries and Biological Age: Solutions of Variational Problems

Jacques Demongeot 22nd International Conference on Advanced Information Networking and Applications - Workshops (aina workshops 2008), 2008

If we consider the chronologic age of an organism, it is often unable to give useful information about its stage in the development or aging processes. Then we propose here to use a biological age essentially determined by the number of used mitoses before the Hayflick's limit for the tissues of the critical organs (in the sense where their loss ...


Shape-encoded particle for DNA analysis

Jane Gin Fai Tsai; Zugen Chen; B. Merriman; S. Nelson; Chang-Jin Kim TRANSDUCERS, Solid-State Sensors, Actuators and Microsystems, 12th International Conference on, 2003, 2003

This paper reports the use of a shape-encoded particle (SEP) as a substrate for biochemical probe (such as DNA or protein) attachment and identification. Its application involves large-scale genomic/proteomic analysis of multiple data based on shape-recognizable microparticles. Many samples from different sources (e.g. DNA/RNA from multiple subjects) can be assayed in parallel on the microparticles with known probes immobilized onto ...


Computing with Proteins

Naren Ramakrishnan; Upinder S. Bhalla; John J. Tyson Computer, 2009

Protein-based computers are ripe for spectacular scientific advances because we know a great deal about these circuits' molecular components. But we are only beginning to understand how they process information and make decisions. Of the many types of information processing systems known to us, the least well understood are the complex, intracellular molecular reaction networks that control the physiology of ...


A method for optimizing the design of SPM type magnetic gear based on reluctance network analysis

M. Fukuoka; K. Nakamura; O. Ichinokura 2012 XXth International Conference on Electrical Machines, 2012

Magnetic gears, which can transmit torque without mechanical contact, have low vibration and acoustic noise, and are low maintenance in comparison with conventional mechanical gears. Various types of the magnetic gears have been introduced. Among them, a planetary type magnetic gear has attracted interest recently because its transmission torque is higher than the other types. This paper presents a high-speed ...


Low cost wireless sensors for distribution grid intelligence and resiliency

Arnab Kundu; Asis Nasipuri; Badrul Chowdhury; Darshan Prabhu; Krupa Mahesh; Christopher Grafer; Divya Ravi; K. R. Subramanian SoutheastCon 2017, 2017

Extreme weather events have been known to cause massive disruptions in power leading to significant outages in the recent past. The main goal of this study is to improve situation intelligence in the distribution grid to determine the downed lines, impacted areas, location of healthy lines and nodes, and the amount of distributed generation available at customer locations to serve ...


More eLearning Resources

IEEE.tv Videos

No IEEE.tv Videos are currently tagged "RNA"

IEEE-USA E-Books

  • The Chemoton: A Model for the Origin of Long RNA Templates.

    How could genomes have arisen? Two models based on Ganti's Chemoton are presented which demonstrate that under increasingly realistic assumptions, template replication is facilitated without the need of enzymes. It can do this because the template state is stoichiometrically coupled to the cell cycle. The first model demonstrates that under certain kinetic and environmental conditions there is an optimal template length, i.e. one which facilitates fastest replication of the Chemoton. This is in contradiction to previous findings by Csendes who claimed that longer templates allowed more rapid replication. In the second model, hydrogen bonding, phosphodiester bonding and template structure is modeled, so allowing dimer and oligomer formation, hydrolysis and elongation of templates. Here, monomer concentration oscillates throughout the cell cycle so that double strands form at low monomer concentrations and separate at high monomer concentrations. Therefore, this simulation provides evidence that a protocell with Chemoton organization is a plausible mechanism for the formation of long templates, a notorious problem for studies of the origin of life.

  • Transcription and Electron Microscopy

    This chapter contains sections titled: Roger Kornberg, Nucleosome, and Polymerase, Electron Microscope, Phillip A. Sharp and RNA Splicing, 1977

  • Sampling Techniques: Estimating Evolutionary Rates and Generating Molecular Structures

    This chapter first discusses the general problem of characterizing ensemble properties of biological systems through integration by sampling, along with the difficulties of sampling in high-dimensional space. It briefly examines the approach of rejection sampling, and discusses two general frameworks in Monte Carlo sampling, namely, the Markov chain Monte Carlo (MCMC) or Metropolis Monte Carlo method and the sequential Monte Carlo method. The chapter also discusses basic concepts such as sampling from a desired target distribution, properties of Markov chains, time reversibility, detailed balance, and the stationary state. This is followed by the example of estimating evolutionary substitution rates of amino acids. The chapter then describes the general principle of importance sampling, the approach of sequentially building up the target distribution, and the technique of resampling for variance reduction. Finally, it presents the applications in generating self-avoiding walks for studying chain polymers and calculating RNA loop entropy.

  • RNA Secondary Structure Prediction

    This chapter contains sections titled: Introduction, Basic Definitions, Combinatorial Algorithm, Energy Minimization Algorithms, Phylogenetic Comparative Methods, Stochastic Context-Free Grammar Method, Conclusions, References

  • Biomedical Applications

    The Crick???Watson discovery injected into biology a reductionist paradigm, whereby subsequent scientific progress was gauged by describing the smallest bits possible, usually one at a time???one stretch of DNA, one RNA, and one protein. Since the research community is often ahead of the curve by virtue of its focus on devices that may be years away from commercial realization, it is also valuable to get a market perspective on medical applications of radiofrequency (RF)/microwave devices. For medical applications, the need to get the medical device approved by the Food and Drug Administration (FDA) in the US or by a similar regulatory agency in other countries adds to the complexity of the RF/microwave biomedical device market. Pacemakers and implantable cardioverter defibrillators (ICDs) are routinely implanted in US patients, saving and prolonging many lives by helping regulate cardiac function.

  • Neutral search spaces for artificial evolution: a lesson from life

    Natural evolutionary systems exhibit a complex mapping from genotype to phenotype. One property of these mappings is neutrality, where many mutations do not have an appreciable effect on the phenotype. In this case the mapping from genotype to phenotype contains redundancy such that a phenotype is represented by many genotypes. Studies of RNA and protein molecules, the fundamental building blocks of life, reveal that this can result in neutral networks - sets of genotypes connected by single point mutations that map into the same phenotype. This allows genetic changes to be made while maintaining the current phenotype and thus may reduce the chance of becoming trapped in sub-optimal regions of genotype space. In this paper we present several redundant mappings and explore their properties by performing random walks on the neutral networks in their genotype spaces. We investigate whether the properties found in nature's search space can he engineered into our artificial evolutionary systems. A mapping based on a random hoolean network was found to give particularly promising results

  • Extended Molecular Evolutionary Biology: Artificial Life Bridging the Gap Between Chemistry and Biology

    Molecular evolution provides an ample field for the extension of Nature's principles towards novel applications. Several examples are discussed here, among them are evolution in the test tube, nucleotide chemistry with new base pairs and new backbones, enzyme-free replication of polynucleotides and template chemistry aiming at replicating structures that have nothing in common with the molecules from nature. Molecular evolution in the test tube provides a uniquely simple system for the study of evolutionary phenomena: genotype and phenotype are two features of one and the same RNA molecule. Then fitness landscapes are nothing more than combined mappings from sequences to structures and from structures to functions, the latter being expressed in terms of rate constants. RNA landscapes are presented as examples for which an access to phenomena in reality by mathematical analysis and computer simulations is feasible. New questions concerning stability of structures in evolution can be raised and quantitative answers are given. Evolutionary biotechnology is a spin-off from molecular evolution. Darwin's principle of variation and selection is applied to design novel biopolymers with predetermined functions. Different approaches to achieve this goal are discussed and a survey of the current state of the art is given.

  • The Role of RNA Editing in Dynamic Environments

    This paper presents a computational methodology based on Genetic Algorithms with Genotype Editing (GAE) for investigating the role of RNA editing in dynamic environments. This model is based on genotype editing characteristics that are gleaned from RNA editing processes as observed in several organisms. We have previously expanded the traditional Genetic Algorithm (GA) with artificial editing mechanisms (Rocha, 1995, 1997), and studied the benefits of including straightforward Genotype Editing in GA for several machine learning problems (Huang and Rocha, 2003, 2004). Here we show that genotype editing also provides a means for artificial agents with genotype/phenotype mappings descriptions to gain greater phenotypic plasticity. We simulate agents endowed with the ability to alter the edition of their genotype according to environmental context. This ability grants agents an adaptive advantage as genotype expression can become contextually regulated. The study of this genotype edition model in changing environments has shed some light into the evolutionary implications of RNA editing. We expect that our methodology will both facilitate determining the evolutionary role of RNA editing in biology, and advance the current state of research in Evolutionary Computation and Artificial Life.

  • Graph Theoretic Models in Chemistry and Molecular Biology

    The field of chemical graph theory utilizes simple graphs as models of molecules. These models are called molecular graphs, and quantifiers of molecular graphs are known as molecular descriptors or topological indices. Today's chemists use molecular descriptors to develop algorithms for computer aided drug designs, and computer based searching algorithms of chemical databases and the field is now more commonly known as combinatorial or computational chemistry. With the completion of the human genome project, related fields are emerging such as chemical genomics and pharmacogenomics. Recent advances in molecular biology are driving new methodologies and reshaping existing techniques, which in turn produce novel approaches to nucleic acid modeling and protein structure prediction. The origins of chemical graph theory are revisited and new directions in combinatorial chemistry with a special emphasis on biochemistry are explored. Of particular importance is the extension of the set of molecular descriptors to include graphical invariants. We also describe the use of artificial neural networks (ANNs) in predicting biological functional relationships based on molecular descriptor values. Specifically, a brief discussion of the fundamentals of ANNs together with an example of a graph theoretic model of RNA to illustrate the potential for ANN coupled with graphical invariants to predict function and structure of biomolecules is included.

  • Prediction of RNA Binding Sites in Proteins

    In this chapter, the authors provide an introduction for the prediction of RNA binding sites in proteins by machine learning algorithms, such as neural network (NN), naive Bayes (NB), support vector machines (SVM), and random forest (RF). On the basis of these classification methods, one can identify the RNA binding sites of proteins by various features underlying the interaction. Here, the authors mainly describe the protocols of predicting RNA binding sites in proteins by feature based machine learning methods. The available protein-RNA complexes from the Protein Data Bank (PDB) are selected to build the data source and define the binding sites in proteins. Here, the authors also compare these features and those of the existing methods. In particular, they identify the importance of each feature in determining the specificity of protein-RNA interaction, as well as the contribution of various hybrid features in the prediction.



Standards related to RNA

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