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

ABSTRACT: In this study, optical technology is considered as SA issues' solution with the potential ability to increase the speed, overcome memory-limitation, reduce power consumption, and increase output accuracy. So we examine the effect of bio-data encoding and the creation of input images on the pattern-recognition error-rate at the output of optical Vander-lugt correlator. Moreover, we present a genetic algorithm-based coding approach, named as GAC, to minimize output noises of cross-correlating data. As a case study, we adopt the proposed coding approach within a correlation-based optical architecture for counting k-mers in a DNA string. As verified by the simulations on Salmonella whole-genome, we can improve sensitivity and speed more than 86% and 81%, respectively, compared to BLAST by usin

SUBMITTER: Akbari Rokn Abadi S 

PROVIDER: S-EPMC7810328 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature