{"id":"https://openalex.org/W4401694235","doi":"https://doi.org/10.1109/isit57864.2024.10619142","title":"Exact Error Exponents for a Concatenated Coding Based Class of DNA Storage Codes","display_name":"Exact Error Exponents for a Concatenated Coding Based Class of DNA Storage Codes","publication_year":2024,"publication_date":"2024-07-07","ids":{"openalex":"https://openalex.org/W4401694235","doi":"https://doi.org/10.1109/isit57864.2024.10619142"},"language":"en","primary_location":{"id":"doi:10.1109/isit57864.2024.10619142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit57864.2024.10619142","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053186599","display_name":"Yan Hao Ling","orcid":"https://orcid.org/0000-0002-4821-4628"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yan Hao Ling","raw_affiliation_strings":["National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046337437","display_name":"Jonathan Scarlett","orcid":"https://orcid.org/0000-0003-1403-9160"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jonathan Scarlett","raw_affiliation_strings":["National University of Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11506474,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3426","last_page":"3431"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12029","display_name":"DNA and Biological Computing","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12029","display_name":"DNA and Biological Computing","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10796","display_name":"Cooperative Communication and Network Coding","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9804999828338623,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5891086459159851},{"id":"https://openalex.org/keywords/concatenated-error-correction-code","display_name":"Concatenated error correction code","score":0.5276826024055481},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.5215077996253967},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4716861844062805},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.45734286308288574},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4345911145210266},{"id":"https://openalex.org/keywords/variable-length-code","display_name":"Variable-length code","score":0.4159843623638153},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.3117169439792633},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2366330623626709},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.22288113832473755},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10598552227020264},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.084572434425354}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5891086459159851},{"id":"https://openalex.org/C78944582","wikidata":"https://www.wikidata.org/wiki/Q5158264","display_name":"Concatenated error correction code","level":4,"score":0.5276826024055481},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.5215077996253967},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4716861844062805},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.45734286308288574},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4345911145210266},{"id":"https://openalex.org/C60603091","wikidata":"https://www.wikidata.org/wiki/Q2981616","display_name":"Variable-length code","level":3,"score":0.4159843623638153},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.3117169439792633},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2366330623626709},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.22288113832473755},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10598552227020264},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.084572434425354}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit57864.2024.10619142","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit57864.2024.10619142","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Information Theory (ISIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2005411093","https://openalex.org/W2099111195","https://openalex.org/W2615068531","https://openalex.org/W2936307398","https://openalex.org/W3035393044","https://openalex.org/W4205855417","https://openalex.org/W4211073903","https://openalex.org/W4213456065","https://openalex.org/W4245577611","https://openalex.org/W4285146809","https://openalex.org/W4285181352","https://openalex.org/W4302366875"],"related_works":["https://openalex.org/W2037763716","https://openalex.org/W1968396483","https://openalex.org/W4297536019","https://openalex.org/W2362406576","https://openalex.org/W2100149990","https://openalex.org/W2950636389","https://openalex.org/W1533984353","https://openalex.org/W2134931385","https://openalex.org/W2112041330","https://openalex.org/W3133831695"],"abstract_inverted_index":{"In":[0],"this":[1,69],"paper,":[2],"we":[3,112],"consider":[4],"a":[5,38,93],"concatenated":[6],"coding":[7],"based":[8,91],"class":[9,70,108],"of":[10,54,71,109],"DNA":[11],"storage":[12],"codes":[13,72,110],"in":[14,37,51],"which":[15],"the":[16,30,52,64,101,106],"selected":[17],"molecules":[18],"are":[19],"constrained":[20],"to":[21,45],"be":[22],"taken":[23],"from":[24],"an":[25,48,81],"\u201cinner\u201d":[26],"codebook":[27,34],"associated":[28],"with":[29,77],"sequencing":[31],"channel.":[32],"This":[33],"is":[35,42,90],"used":[36],"\u201cblack-box\u201d":[39],"manner,":[40],"and":[41],"only":[43],"assumed":[44],"operate":[46],"at":[47],"achievable":[49,83],"rate":[50],"sense":[53],"attaining":[55],"asymptotically":[56],"vanishing":[57],"maximal":[58],"(inner)":[59],"error":[60,66,84,103],"probability.":[61],"We":[62],"derive":[63],"exact":[65],"exponent":[67],"for":[68],"under":[73],"widely-adopted":[74],"parameter":[75],"scalings,":[76],"strict":[78],"improvements":[79],"over":[80],"existing":[82],"exponent.":[85],"Moreover,":[86],"our":[87],"achievability":[88],"analysis":[89],"on":[92],"coded-index":[94],"strategy,":[95],"implying":[96],"that":[97,111],"such":[98],"strategies":[99],"attain":[100],"highest":[102],"exponents":[104],"within":[105],"broader":[107],"consider.":[113]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}