DNA Computing: 7th International Workshop on DNA-Based by Thomas Hinze, Uwe Hatnik, Monika Sturm (auth.), Nataša

By Thomas Hinze, Uwe Hatnik, Monika Sturm (auth.), Nataša Jonoska, Nadrian C. Seeman (eds.)

This e-book constitutes the completely refereed post-proceedings of the seventh overseas Workshop on DNA-Based desktops, DNA7, held in Tampa, Florida, united states, in June 2001.
The 26 revised complete papers awarded including nine poster papers have been conscientiously reviewed and chosen from forty four submissions. The papers are geared up in topical sections on experimental instruments, theoretical instruments, probabilistic computational versions, desktop simulation and series layout, algorithms, experimental options, nano-tech units, biomimetic instruments, new computing versions, and splicing platforms and membranes.

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Extra info for DNA Computing: 7th International Workshop on DNA-Based Computers, DNA7 Tampa, FL, USA, June 10–13, 2001 Revised Papers

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This contrasts with conventional DNA computing where the individual sequence of biochemical operations depends on the specific problem. Presently, in ongoing research, we are solving a graph for the Maximum Clique problem with N = 6 nodes and have completed the design of a microreactor for N = 20. Furthermore, the design of the DNA solution space will be presented, with solutions encoded in customised word-structured sequences. 1 Introduction DNA computing involves a multidisciplinary interplay between molecular biology, information science, microsystem technology, physical detection methods and evolution.

Franceschetti, D. , S. : Genetic Search for Reliable Encodings for DNA-based Computation. , Condon, A. , Corn, R. : On Combinatorial DNA Word Design. Proceedings of the 5th International Meeting on DNA Based Computers (1999) [6] Frutos, A. , Thiel, A. , Sanner, A. M. , Condon, A. , Smith, L. , Corn, R. : Demonstration of a Word Design Strategie for DNA Computing on Surfaces. Nucleic Acids Research 25(23) (1997) 4748–4757 [7] Hartemink, A. , Gifford, D. : Automated Constraint-Based Nucleotide Sequence Selection for DNA Computation.

The second row of ssDNAs is for an alternative sorting programming scheme with increasing number of nodes. will also be actively selected. There are 12 outputs from the selection in which the population is classified (only seven are needed). Table 4 shows the ssDNA needed to perform the sorting procedure as shown in Fig. 6. After step 1, all the strands with A0 in the sequence will flow down to the step 2, while all the other strands with A1 move one column to the right and to step 2. This process continues until the output layer is reached.

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