1992
DOI: 10.1364/ao.31.004802
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Analysis of DNA sequences by an optical time-integrating correlator

Abstract: The analysis of the molecular structure called DNA is of particular interest for the understanding of the basic processes governing life. Correlation techniques implemented on digital computers are currently used to do this analysis, but the process is so slow that the mapping and sequencing of the entire human genome requires a computational breakthrough. This paper presents a new method of performing the analysis of DNA sequences with an optical time-integrating correlator. The method is characterized by sho… Show more

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Cited by 4 publications
(4 citation statements)
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References 24 publications
(31 reference statements)
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“…Finally, since the phaseonly filter concept have been conceived in the field of optical signal processing, one has to consider a potential optical implementation of the SPOMF sequence aligner. Such an implementation was in fact proposed several years ago [10], and if technologically feasible, might deliver the most efficient solution to the sequence alignment problem.…”
Section: Comparison Of Spomf and Blastmentioning
confidence: 99%
“…Finally, since the phaseonly filter concept have been conceived in the field of optical signal processing, one has to consider a potential optical implementation of the SPOMF sequence aligner. Such an implementation was in fact proposed several years ago [10], and if technologically feasible, might deliver the most efficient solution to the sequence alignment problem.…”
Section: Comparison Of Spomf and Blastmentioning
confidence: 99%
“…It should be noted that since our coding scheme utilizes four bits for representing each character, it stands to reason that the correlation output should be down-sampled, in order to relax ambiguous matches resulted from codes overlap. 27…”
Section: Results and Evaluationmentioning
confidence: 99%
“…So far, various optical DNA alignment approaches 25,27,28,34 have been proposed to perform correlation on two signals or images for detecting exact match among DNA strings. Although there might be some edits in one sequence that mess up exact matching, there still exist a large similarity among DNA strings that must be founded.…”
Section: Problem Definitionmentioning
confidence: 99%
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