Universal Biochip Readout of Directed Hamiltonian Path Problems

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Presentation transcript:

Universal Biochip Readout of Directed Hamiltonian Path Problems C. L. T. Clelland, C. Bancroft and D. H. Wood Preliminary Proceedings of the Eighth International Meeting on DNA Based Computers, pp. 301-310, June 2002 Cho, Dong-Yeon

© 2002 SNU CSE Biointelligence Lab Introduction A Readout by Biochip Directed Hamiltonian problem An important difficulty All paths become superimposed upon one another. A Universal Readout for DNA-encoded Graphs We have designed a readout procedure using innovative multiple labeling that is based upon a universal biochip. Efficient algorithms for computational determination of multiple solutions from our partial view readouts are under development. © 2002 SNU CSE Biointelligence Lab

Graphs and Their Representations Adjacency Matrix of a Graph n  n matrix of 0s and 1s There is no general method for recovering the individual graphs from the superposition. © 2002 SNU CSE Biointelligence Lab

Design of the Universal Graph Readout Biochip DNA sequences DNA sequence are designated c1, c2, …, cn. Appearance of Biochip Readout © 2002 SNU CSE Biointelligence Lab

Quantum Dot Barcodes for Optical Readout Fluorescent Quantum Dots (Q-dots) When hit by a beam of light, Q-dot electrons emit light at a predetermined wavelength directly related to the size of the Q-dot. Q-dot Barcodes Q-dots can be integrated into microbeads. “A realistic scheme” could use 5-6 colors with 6 intensity levels (0, 1, …, 5), yielding approximately 10,000 to 40,000 distinguishable barcodes. © 2002 SNU CSE Biointelligence Lab

Graph Readout Using the Universal Biochip n2 Different Labels © 2002 SNU CSE Biointelligence Lab

© 2002 SNU CSE Biointelligence Lab Conclusion A Novel Technique for the Readout of Multiple HPs Quantum-dot barcodes Biochip hybridization More efficient computer algorithms are under development for processing our biochip readouts to completely resolve superpositions of arbitrary collections of permutation graphs. © 2002 SNU CSE Biointelligence Lab