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Dna computing research papers

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DNA computing is an emerging branch of computing which uses DNA , biochemistry , and molecular biology hardware, instead of the traditional electronic computing. Research and development in this area concerns theory, experiments, and applications of DNA computing. Although the field originally started with the demonstration of a computing application by Len Adleman in , it has now been expanded to several other avenues such as the development of storage technologies, [1] [2] [3] nanoscale imaging modalities, [4] [5] [6] synthetic controllers and reaction networks, [7] [8] [9] [10] etc. Leonard Adleman of the University of Southern California initially developed this field in Since the initial Adleman experiments, advances have occurred and various Turing machines have been proven to be constructible. Since then the field has expanded into several avenues.
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dna computing research papers

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Dna computing research paper pdf

DNA computing is a branch of computing which uses DNA, biochemistry , and molecular biology hardware , instead of the traditional silicon-based computer technologies. Research and development in this area concerns theory, experiments, and applications of DNA computing. The concept of DNA computing was first introduced in In other words, a DNA computer grows as it computes. In a recent development, the researchers from the University of Manchester have shown that the creation of this conceptual computer is possible in real life. The other processor makers are also working hard to beat the speed records.
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Dna computing research papers

More than the theoretical implications that would result from its proof or refutation, the classification of problems by their minimal complexity class is would be helpful information for algorithm designers attempting to find efficient solutions to real-life problems. With or without this knowledge, though, it is important to be able to actually solve these problems at a reasonable expense be it measured in time, hardware cost, or whatever dimension is needed. It is for this reason that alternate methods of computation have been formalized and, to a lesser extent, implemented to solve problems. One recent example of such a method is what is known as DNA computing, which attempts to solve these problems by taking advantage of the storage capacity of our genetic code. Since the field's genesis in , the practice of DNA computing has grown significantly in both the number of problems that it might be used to solve and our understanding of its power.
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Japanese page is here. In other words, it is a trial to develop a general-purpose computer with molecules [ hagiya01keisokutoseigyo ][ hagiya00shingakukaishi ] [ hagiya00identekialgorithm ][ Hagiya99NGC ]. The idea of computing with molecules had not been truly realized until , when L. Adleman published a breakthrough for making a general-purpose computer with biological molecules DNA [ Adleman94Science ]. Information processing on the molecular scale has been sought in several ways other than Adleman's, but the DNA computation is inherently different from other previous approaches: it aims the construction of a general-purpose computer based on the theory of universal computation.
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