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Proceedings Paper

Mining DNA data in an efficient 2D optical architecture
Author(s): Jason M. Kinser
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Paper Abstract

Optical computing is applicable to very large database problems that require several iterations of processing. One such forthcoming problem is the analysis of DNA data, in which an individual in a population may have billions of bases in their DNA structure. Current methods only find simple first order associations between the DNA structure and the expressed illnesses. This means that the presence or absence of a gene strongly influences the onset of an illness. These current methods will have a difficult time in finding higher order associations between the genome and the expressed phenotypes. The discovery of such associations will take several iterations through a large database to extract association information. Searching a database of billions of elements for each of hundreds of individuals through thousands of iterations is prohibitively expensive on electronic concepts. Highly parallel architectures such as optical correlators will offer the opportunity to process this large amount of data in a higher-order fashion.

Paper Details

Date Published: 24 May 2000
PDF: 7 pages
Proc. SPIE 4089, Optics in Computing 2000, (24 May 2000); doi: 10.1117/12.386793
Show Author Affiliations
Jason M. Kinser, George Mason Univ. (United States)

Published in SPIE Proceedings Vol. 4089:
Optics in Computing 2000
Roger A. Lessard; Tigran V. Galstian, Editor(s)

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