Mining DNA data in an efficient 2D optical architecture

Jason M. Kinser

doi:10.1117/12.386793

24 May 2000 Mining DNA data in an efficient 2D optical architecture

Jason M. Kinser

Proceedings Volume 4089, Optics in Computing 2000; (2000) https://doi.org/10.1117/12.386793
Event: 2000 International Topical Meeting on Optics in Computing (OC2000), 2000, Quebec City, Canada

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.

Citation Download Citation

Jason M. Kinser "Mining DNA data in an efficient 2D optical architecture", Proc. SPIE 4089, Optics in Computing 2000, (24 May 2000); https://doi.org/10.1117/12.386793

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