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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Location of exons in DNA sequences using digital filters

Parameswaran Ramachandran; Wu-Sheng Lu; Andreas Antoniou 2009 IEEE International Symposium on Circuits and Systems, 2009

A filtering technique for the location of hot spots in proteins proposed recently is applied for the location of exons in DNA sequences. The technique involves conversion of a DNA character sequence into a numerical sequence using the electron-ion interaction potential values and then filtering the numerical sequence using a narrowband bandpass digital filter whose passband is centered at the ...


Automated reading of DNA autoradiogram images using lane profiling methods

K. Palaniappan; T. S. Huang; H. Lee International Workshop on Industrial Applications of Machine Intelligence and Vision,, 1989

Automated DNA sequencing involves computer interpretation of the chemical detection data, which may be in the form of 2-D autoradiogram images, and 1- or 2-D fluorescence data. The analysis of autoradiogram images generated by the multiplex DNA sequencing method is considered. An overall approach to obtaining sequence data from the autoradiogram images is outlined, and specific approaches for segmenting the ...


Artificial cellular device with cell-free protein synthesis ability constructed by chemical IC chips

K. Ikuta; K. Ikeda; A. Takahashi; S. Maruo Proceedings of the 2001 1st IEEE Conference on Nanotechnology. IEEE-NANO 2001 (Cat. No.01EX516), 2001

The world's first "in-chip cell-free protein synthesis from DNA" in biochemical IC chips was demonstrated. A luminous protein of the firefly "Luciferase" was synthesized from DNA and monitored in real time. Compared with conventional protein synthesis process with a living cell, this in-chip method provides low-cost, high-throughput protein production. This micro chemical laboratory was constructed by prefabricated biochemical IC chips ...


The hunt for the biological transistor

Julius B. Lucks; Adam P. Arkin IEEE Spectrum, 2011

How genetic circuits will unlock the true potential of bioengineering?. In 1977, a small group of researchers in California changed the world when they wrangled a common gut bacterium into producing a human protein. Using every technique in the book-and inventing some of their own-they scavenged, snipped, and glued together genetic components to synthesize a tiny filament of DNA. They ...


High speed DNA sequencing accelerator using FPGA

Syed Abdul Mutalib Al Junid; Zulkifli Abd Majid; Abdul Karimi Halim 2008 International Conference on Electronic Design, 2008

This paper presents the development of High Speed DNA sequencing accelerator based on Smith-Waterman algorithm using FPGA. The scope of the paper focuses on speed optimization with parallelism. Smith-Waterman algorithm is sensitive algorithm used for procedure of DNA sequence alignments in computational molecular biology. As the number of sequence database increase exponentially, it affects the performance of Smith-Waterman algorithm in ...


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Educational Resources on DNA

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eLearning

Location of exons in DNA sequences using digital filters

Parameswaran Ramachandran; Wu-Sheng Lu; Andreas Antoniou 2009 IEEE International Symposium on Circuits and Systems, 2009

A filtering technique for the location of hot spots in proteins proposed recently is applied for the location of exons in DNA sequences. The technique involves conversion of a DNA character sequence into a numerical sequence using the electron-ion interaction potential values and then filtering the numerical sequence using a narrowband bandpass digital filter whose passband is centered at the ...


Automated reading of DNA autoradiogram images using lane profiling methods

K. Palaniappan; T. S. Huang; H. Lee International Workshop on Industrial Applications of Machine Intelligence and Vision,, 1989

Automated DNA sequencing involves computer interpretation of the chemical detection data, which may be in the form of 2-D autoradiogram images, and 1- or 2-D fluorescence data. The analysis of autoradiogram images generated by the multiplex DNA sequencing method is considered. An overall approach to obtaining sequence data from the autoradiogram images is outlined, and specific approaches for segmenting the ...


Artificial cellular device with cell-free protein synthesis ability constructed by chemical IC chips

K. Ikuta; K. Ikeda; A. Takahashi; S. Maruo Proceedings of the 2001 1st IEEE Conference on Nanotechnology. IEEE-NANO 2001 (Cat. No.01EX516), 2001

The world's first "in-chip cell-free protein synthesis from DNA" in biochemical IC chips was demonstrated. A luminous protein of the firefly "Luciferase" was synthesized from DNA and monitored in real time. Compared with conventional protein synthesis process with a living cell, this in-chip method provides low-cost, high-throughput protein production. This micro chemical laboratory was constructed by prefabricated biochemical IC chips ...


The hunt for the biological transistor

Julius B. Lucks; Adam P. Arkin IEEE Spectrum, 2011

How genetic circuits will unlock the true potential of bioengineering?. In 1977, a small group of researchers in California changed the world when they wrangled a common gut bacterium into producing a human protein. Using every technique in the book-and inventing some of their own-they scavenged, snipped, and glued together genetic components to synthesize a tiny filament of DNA. They ...


High speed DNA sequencing accelerator using FPGA

Syed Abdul Mutalib Al Junid; Zulkifli Abd Majid; Abdul Karimi Halim 2008 International Conference on Electronic Design, 2008

This paper presents the development of High Speed DNA sequencing accelerator based on Smith-Waterman algorithm using FPGA. The scope of the paper focuses on speed optimization with parallelism. Smith-Waterman algorithm is sensitive algorithm used for procedure of DNA sequence alignments in computational molecular biology. As the number of sequence database increase exponentially, it affects the performance of Smith-Waterman algorithm in ...


More eLearning Resources

IEEE-USA E-Books

  • Evolving Memory: Logical Tasks for Cellular Automata

    We present novel experiments in the evolution of Cellular Automata (CA) to solve nontrivial tasks. Using a genetic algorithm, we evolved CA rules that can solve non-trivial logical tasks related to the density task (or majority classification problem) commonly used in the literature. We present the particle catalogs of the new rules following the computational mechanics framework. We know from Crutchfield et al (2002) that particle computation in CA is a process of information processing and integration. Here, we discuss the type of memory that emerges from the evolving CA experiments for storing and manipulating information. In particular, we contrast this type of evolved memory with the type of memory we are familiar with in Computer Science, and also with the type of biological memory instantiated by DNA. A novel CA rule obtained from our own experiments is used to elucidate the type of memory that one-dimensional CA can attain.

  • Architecture

    Software architecture is the body of instructions, written in a specific coding language, that controls the structure and interactions of software modules. It embodies the structure of a system and provides the framework for the software modules to perform the functions of the system. The design of the interfaces between modules and the constraints on the size and execution of the modules affects the ease with which they can be integrated into a working software system. The architecture of a system enforces constraints on the modules and the properties of capacity, throughput, consistency and module compatibility are realized at the architectural level. Architecture Is a System's DNA Pity the Poor System Administrator Software Architecture Experience Process and Model Components Components as COTS Encapsulation and Abstraction Ready or Not, Objects Are Here UNIX TL1 Mission Comparative Analysis Message Formatting TL1 Message Formulation Industry Support of TL1 Documenting the Architecture Diary or Log Document Debriefing Document Users of Architecture Documentation Architecture Reviews Middleware How Many Times Before We Learn? Comair Cancels 1,100 Flights on Christmas 2004 Air Traffic Shutdown in September 2004 NASA Misses Mars, 2004 Case Study: The Case of the Preempted Priorities Financial Systems Architecture Typical Business Processes Product-Related Layer in the Architecture Finding Simple Components Design and Architectural Process Additonal Problems

  • Patentability of Biotechnology Inventions

    Modern biotechnology is the natural extension of many thousands of years of scientific research, discoveries and invention. As encompassed today, modern biotechnology is largely based on recombinant. DNA technology and the uses of recombinant organisms in the production of foods, medicines and in the solution of environmental problems. Biotechnology may be divided into four general areas: agricultural biotechnology, pharmaceutical biotechnology, environmental biotechnology and industrial biotechnology. The areas of pharmaceutical biotechnology and agricultural biotechnology are the ripest for patenting activity.

  • Neural Networks: Applications

    This chapter contains sections titled: Sequence Encoding and Output Interpretation, Sequence Correlations and Neural Networks, Prediction of Protein Secondary Structure, Prediction of Signal Peptides and Their Cleavage Sites, Applications for DNA and RNA Nucleotide Sequences, Prediction Performance Evaluation, Different Performance Measures

  • Game Theoretic Algorithms for Protein-DNA binding

    We develop and analyze game-theoretic algorithms for predicting coordinate binding of multiple DNA binding regulators. The allocation of proteins to local neighborhoods and to sites is carried out with resource constraints while explicating competing and coordinate binding relations among proteins with affinity to the site or region. The focus of this paper is on mathematical foundations of the approach. We also briefly demonstrate the approach in the context of the λ-phage switch.

  • Systems Biology Thought Experiments in Human Genetics Using Artificial Life and Grammatical Evolution

    A goal of systems biology and human genetics is to understand how DNA sequence variations impact human health through a hierarchy of biochemical, metabolic, and physiological systems. We present here a proof-of-principle study that demonstrates how artificial life in the form of agent-based simulation can be used to generate hypothetical systems biology models that are consistent with pre-defined genetic models of disease susceptibility. Here, an evolutionary computing strategy called grammatical evolution is utilized to discover artificial life models. The goal of these studies is to perform thought experiments about the nature of complex biological systems that are consistent with genetic models of disease susceptibility. It is anticipated that the utility of this approach will be the generation of biological hypotheses that can then be tested using experimental systems.

  • Index

    Have you ever wondered how your GPS can find the fastest way to your destination, selecting one route from seemingly countless possibilities in mere seconds? How your credit card account number is protected when you make a purchase over the Internet? The answer is algorithms. And how do these mathematical formulations translate themselves into your GPS, your laptop, or your smart phone? This book offers an engagingly written guide to the basics of computer algorithms. In Algorithms Unlocked, Thomas Cormen -- coauthor of the leading college textbook on the subject -- provides a general explanation, with limited mathematics, of how algorithms enable computers to solve problems. Readers will learn what computer algorithms are, how to describe them, and how to evaluate them. They will discover simple ways to search for information in a computer; methods for rearranging information in a computer into a prescribed order ("sorting"); how to solve basic problems that can be modeled in a computer with a mathematical structure called a "graph" (useful for modeling road networks, dependencies among tasks, and financial relationships); how to solve problems that ask questions about strings of characters such as DNA structures; the basic principles behind cryptography; fundamentals of data compression; and even that there are some problems that no one has figured out how to solve on a computer in a reasonable amount of time.

  • Kernels for Biological Data

    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.

  • Illustration Sources

    This book provides a long-overdue vision for a new automobile era. The cars we drive today follow the same underlying design principles as the Model Ts of a hundred years ago and the tail-finned sedans of fifty years ago. In the twenty-first century, cars are still made for twentieth-century purposes. They're well suited for conveying multiple passengers over long distances at high speeds, but inefficient for providing personal mobility within cities-- where most of the world's people now live. In this pathbreaking book, William Mitchell and two industry experts reimagine the automobile, describing vehicles of the near future that are green, smart, connected, and fun to drive. They roll out four big ideas that will make this both feasible and timely. First, we must transform the DNA of the automobile, basing it on electric-drive and wireless communication rather than on petroleum, the internal combustion engine, and stand-alone operation. This allows vehicles to become lighter, cleaner, and "smart" enough to avoid crashes and traffic jams. Second, automobiles will be linked by a Mobility Internet that allows them to collect and share data on traffic conditions, intelligently coordinates their movements, and keeps drivers connected to their social networks. Third, automobiles must be recharged through a convenient, cost-effective infrastructure that is integrated with smart electric grids and makes increasing use of renewable energy sources. Finally, dynamically priced markets for electricity, road space, parking space, and shared-use vehicles must be introduced to provide optimum management of urban mobility and energy systems. The fundamental reinvention of the automobile won't be easy, but it is an urgent necessity--to make urban mobility more convenient an d sustainable, to make cities more livable, and to help bring the automobile industry out of crisis.Four Big Ideas That Could Transform the Automobileï¿¿ï¿¿ Base the underlying design principles on electric-drive and wireless communications rather than the internal combustion engine and stand- alone operationï¿¿ï¿¿ Develop the Mobility Internet for sharing traffic and travel dataï¿¿ï¿¿ Integrate electric-drive vehicles with smart electric grids that use clean, renewable energy sourcesï¿¿ï¿¿ Establish dynamically priced markets for electricity, road space, parking space, and shared-use vehicles

  • Natural Structures for ManMade MachinesCurvature in Information and Computation

    This chapter contains sections titled: Engineering Problems Arrows Everywhere - Graph Theory and Feynman-Like Diagrams Relays and Switches by Any Other Name Differentiation Through Divergence Relationships and Twisting Sequences Growth Spirals, Fibonacci Progressions, and Other Sequential Patterns L-Systems Information Compression and Maximization in Biological Systems Degrees of Freedom and Information Representation in Biological Systems A More Detailed Account of DNA's Structure More Evidence of Efficiency at Play in DNA and Higher Levels of Physiology Books, Bytes, Computers, and Biological Systems - An Analogy



Standards related to DNA

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