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About 10,000 papers for “DNA computing”

DNA Computing. 1. What is DNA-Computing?

大内東 · The Journal of the Institute of Electrical Engineers of Japan · 2002

Cited by 1Open access

DNA Computing

Frasch, Wayne D. · Defense Technical Information Center (DTIC) · 2008

A microscopy system was acquired for molecular detection using molecular motor-driven nanodevices. This state of the art system incorporates a motorized stage that can move to successive adjacent fields of view, and stitch the digital color photos for analysis. The detection system utilizes the molecular motor attached to a slide and a gold nanorod that is visible by darkfield microscopy. Assembly of each nanodevice is dependent upon the presence of one molecule of target that bridges between motor and nanorod. Zeptomole sensitivity of target DNA is achieved without PCR or other means of amplification via molecular motor-dependent rotation. We have now demonstrated simultaneous, multiplexed detection of sequence specific DNA, RNA, and proteins unique to MRSA on the same platform with three separate colors of gold nanorods each having a different functionalization. We have also demonstrated the ability to differentiate between Staphylococcus aureus and MRSA as well as detection of target from crude cell lysate. We have written algorithms that can analyze the stitched digital photos of fields of view, correctly identify red, green, and yellow nanorods used to detect DNA, RNA, and proteins, respectively, then rapidly quantify the amount of each target present. Assembly of a commercial prototype of the detection device is underway.

Cited by 0

DNA computing.

Lenney, Kimberly Joy · Digital WPI · 1999

This Major Qualifying Project evaluates the feasibility of using DNA to solve NP-Complete problems. The Hamiltonian Path Problem is a known NP-Complete problem, and thus has no efficient algorithm on a traditional computer. A DNA based computer may provide a more efficient solution. Laboratory work provided the opportunity to test the validity of using DNA to solve these difficult problems. This project demonstrates that there are still many obstacles to DNA based computers.

Cited by 0

DNA Computing

Lila Kari, Kalpana Mahalingam · Chapman & Hall/CRC applied algorithms and data structures series · 2009

Cited by 2

DNA Computing

SpringerReference · 2011

Cited by 0

DNA Computing.

Nate Lewis, P. Weinberger · 1995

Cited by 2

DNA Computing

Yash Malusare · International Journal of Scientific Research and Engineering Trends · 2024

Cited by 0

DNA Computing

Wayne D. Frasch · 2008

Cited by 0

DNA computing

Piotr Formanowicz · 2004

Abstract: DNA computing is an alternative method of performing computations. It is based on the observation that in general it is possible to design a series of biochemical experiments involving DNA molecules which is equivalent to processing information encoded in these molecules. In classical computing devices electronic logic gates are elements which allow for storing and transforming information. Designing of an appropriate sequence or a net of “store ” and “transform ” operations (in a sense of building a device or writing a program) is equivalent to preparing some computations. In DNA computing the situation is analogous. The main difference is the type of computing devices, since in this new method of computing instead of electronic gates DNA molecules are used for storing and transforming information. From this follows that the set of basic operations is different in comparison to electronic devices but the results of using them may be similar. Moreover, the inherent massive parallelism of DNA computing may lead to methods solving some intractable computational problems. In this paper basic principles of DNA computing are described and examples of DNA based algorithms solving some combinatorial problems are presented.

Cited by 0

DNA computing

Lappalainen, Panu · Jyväskylä University Digital Archive (University of Jyväskylä) · 2019

Tässä kirjallisuuskatsauksessa käsitellään DNA:n mahdollisuuksia tietokonelaskennassa. DNA on erinomainen rinnakkaislaskennassa laskentanopeutensa ja energiatehokkuutensa puolesta, mutta sen hitaan valmisteluajan ja yleisen vaikean käsiteltävyyden takia se ei kilpaile nykyaikaisten tietokoneiden kanssa useimmilla aloilla, joskin DNA:sta tehdyille logiikkaporteille on löydetty käyttötarkoituksia virusten havaitsemisessa. DNA:n syntetisointi ja sekvensointi (kirjoittaminen ja lukeminen) on hidasta, mutta DNA:lla on korkea informaatiotiheys ja se säilyy mahdollisesti tuhansia vuosia. Tämä tekee DNA:sta hyödyllisen pitkäaikaisarkistointitarkoituksiin.

Cited by 0Open access

DNA Computing

Mandrita Mondal · Advances in environmental engineering and green technologies book series · 2021

The modern era of classical silicon-based computing is at the edge of a number of technological challenges which include huge energy consumption, requirement of massive memory space, and generation of e-waste. The proposed alternative to this pitfall is nanocomputing, which was first exemplified in the form of DNA computing. Recently, DNA computing is gaining acceptance in the field of eco-friendly, unconventional, nature-inspired computation. The future of computing depends on making it renewable, as this can cause a drastic improvement in energy consumption. Thus, to save the natural resources and to stop the growing toxicity of the planet, reversibility is being imposed on DNA computing so that it can replace the traditional form of computation. This chapter reflects the foundation of DNA computing and renewability of this multidisciplinary domain that can be produced optimally and run from available natural resources.

Cited by 0

DNA Computing

Martyn Amos · Encyclopedia of Complexity and Systems Science · 2009

Cited by 1

DNA Computing

Jonoska, NataÅ¡a, Seeman, Nadrian C · Lecture notes in computer science · 2002

Cited by 7

DNA Computing

Condon, Anne, Rozenberg, Grzegorz · Lecture notes in computer science · 2001

Cited by 6

DNA Computing

Sudhanshu Garg, Reem Mokhtar, Tianqi Song et al. · 2013

Molecular computing is computation done at the molecular scale. DNA computing is a class of molecular computing that does computation by the use of reactions involving DNA molecules. DNA computing has been by far the most successful (in scale and complexity of the computations and molecular assemblies done) of all known approaches to molecular computing, perhaps due in part to the very well established biotechnology and biochemistry on which its experimental demonstration relies, as well as the frequent teaming of scientists in the field with multiple essential disciplines including chemistry, biochemistry, physics, material science, and computer science. This chapter surveys the field of DNA computing. It begins in Section 1 with a discussion of the underlying principles, including motivation for molecular and DNA computations (Section 1.1), brief overviews of DNA

Cited by 0