Publication | Closed Access
High-speed all-optical DNA local sequence alignment based on a three-dimensional artificial neural network
13
Citations
28
References
2017
Year
Global AlignmentGeneticsMolecular BiologyGenomicsSequence AlignmentDna ComputingDna SequencingSystems BiologySequence AnalysisDna ReplicationFunctional GenomicsBioinformaticsStructural BiologyNatural SciencesComputational BiologyLocal Dna AlignmentMedicineArtificial Neural NetworkSequence Assembly
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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