Literature DB >> 29036127

High-speed all-optical DNA local sequence alignment based on a three-dimensional artificial neural network.

Ehsan Maleki, Hossein Babashah, Somayyeh Koohi, Zahra Kavehvash.   

Abstract

This paper presents an optical processing approach for exploring a large number of genome sequences. Specifically, we propose an optical correlator for global alignment and an extended moiré matching technique for local analysis of spatially coded DNA, whose output is fed to a novel three-dimensional artificial neural network for local DNA alignment. All-optical implementation of the proposed 3D artificial neural network is developed and its accuracy is verified in Zemax. Thanks to its parallel processing capability, the proposed structure performs local alignment of 4 million sequences of 150 base pairs in a few seconds, which is much faster than its electrical counterparts, such as the basic local alignment search tool.

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Year:  2017        PMID: 29036127     DOI: 10.1364/JOSAA.34.001173

Source DB:  PubMed          Journal:  J Opt Soc Am A Opt Image Sci Vis        ISSN: 1084-7529            Impact factor:   2.129


  1 in total

1.  Optical pattern generator for efficient bio-data encoding in a photonic sequence comparison architecture.

Authors:  Saeedeh Akbari Rokn Abadi; Negin Hashemi Dijujin; Somayyeh Koohi
Journal:  PLoS One       Date:  2021-01-15       Impact factor: 3.240

  1 in total

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