Generative Adversarial Networks for DNA Storage Channel Simulator
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kang, Sanghoon | - |
dc.contributor.author | Gao, Yunfei | - |
dc.contributor.author | Jeong, Jaeho | - |
dc.contributor.author | Park, Seong-Joon | - |
dc.contributor.author | Kim, Jae-Won | - |
dc.contributor.author | No, Jong-Seon | - |
dc.contributor.author | Jeon, Hahyeon | - |
dc.contributor.author | Lee, Jeong Wook | - |
dc.contributor.author | Kim, Sunghwan | - |
dc.contributor.author | Park, Hosung | - |
dc.contributor.author | No, Albert | - |
dc.date.accessioned | 2023-02-13T01:41:33Z | - |
dc.date.available | 2023-02-13T01:41:33Z | - |
dc.date.created | 2023-02-13 | - |
dc.date.issued | 2023-01-01 | - |
dc.identifier.issn | 2169-3536 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/30835 | - |
dc.description.abstract | DNA data storage systems have rapidly developed with novel error-correcting techniques, random access algorithms, and query systems. However, designing an algorithm for DNA storage systems is challenging, mainly due to the unpredictable nature of errors and the extremely high price of experiments. Thus, a simulator is of interest that can imitate the error statistics of a DNA storage system and replace the experiments in developing processes. We introduce novel generative adversarial networks that learn DNA storage channel statistics. Our simulator takes oligos (DNA sequences to write) as an input and generates a FASTQ file that includes output DNA reads and quality scores as if the oligos are synthesized and sequenced. We trained the proposed simulator with data from a single experiment consisting of 14,400 input oligo strands and 12,108,573 output reads. The error statistics between the input and the output of the trained generator match the actual error statistics, including the error rate at each position, the number of errors for each nucleotide, and high-order statistics. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | DIGITAL INFORMATION | - |
dc.subject | SEQUENCE | - |
dc.subject | CHALLENGES | - |
dc.subject | ROBUST | - |
dc.title | Generative Adversarial Networks for DNA Storage Channel Simulator | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | No, Albert | - |
dc.identifier.doi | 10.1109/ACCESS.2023.3235201 | - |
dc.identifier.scopusid | 2-s2.0-85147306785 | - |
dc.identifier.wosid | 000915828200001 | - |
dc.identifier.bibliographicCitation | IEEE ACCESS, v.11, pp.3781 - 3793 | - |
dc.relation.isPartOf | IEEE ACCESS | - |
dc.citation.title | IEEE ACCESS | - |
dc.citation.volume | 11 | - |
dc.citation.startPage | 3781 | - |
dc.citation.endPage | 3793 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordPlus | DIGITAL INFORMATION | - |
dc.subject.keywordPlus | SEQUENCE | - |
dc.subject.keywordPlus | CHALLENGES | - |
dc.subject.keywordPlus | ROBUST | - |
dc.subject.keywordAuthor | DNA | - |
dc.subject.keywordAuthor | Generators | - |
dc.subject.keywordAuthor | Sequential analysis | - |
dc.subject.keywordAuthor | Generative adversarial networks | - |
dc.subject.keywordAuthor | Transformers | - |
dc.subject.keywordAuthor | Hidden Markov models | - |
dc.subject.keywordAuthor | Error analysis | - |
dc.subject.keywordAuthor | Recurrent neural networks | - |
dc.subject.keywordAuthor | Channel simulator | - |
dc.subject.keywordAuthor | DNA storage | - |
dc.subject.keywordAuthor | generative adversarial networks | - |
dc.subject.keywordAuthor | recurrent neural networks | - |
dc.subject.keywordAuthor | transformer | - |
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