{"id":"https://openalex.org/W4382365069","doi":"https://doi.org/10.1109/itw55543.2023.10161642","title":"Achievable Information Rates and Concatenated Codes for the DNA Nanopore Sequencing Channel","display_name":"Achievable Information Rates and Concatenated Codes for the DNA Nanopore Sequencing Channel","publication_year":2023,"publication_date":"2023-04-23","ids":{"openalex":"https://openalex.org/W4382365069","doi":"https://doi.org/10.1109/itw55543.2023.10161642"},"language":"en","primary_location":{"id":"doi:10.1109/itw55543.2023.10161642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw55543.2023.10161642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Information Theory Workshop (ITW)","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/A5068655947","display_name":"Issam Maarouf","orcid":"https://orcid.org/0000-0003-4791-4515"},"institutions":[{"id":"https://openalex.org/I2799829267","display_name":"Simula Research Laboratory","ror":"https://ror.org/00vn06n10","country_code":"NO","type":"facility","lineage":["https://openalex.org/I2799829267"]},{"id":"https://openalex.org/I4387153661","display_name":"Simula UiB","ror":"https://ror.org/05kmggt55","country_code":null,"type":"nonprofit","lineage":["https://openalex.org/I2799829267","https://openalex.org/I4387153661","https://openalex.org/I4432739"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Issam Maarouf","raw_affiliation_strings":["Simula UiB,Bergen,Norway,N-5006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simula UiB,Bergen,Norway,N-5006","institution_ids":["https://openalex.org/I2799829267","https://openalex.org/I4387153661"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090738616","display_name":"Eirik Rosnes","orcid":"https://orcid.org/0000-0001-8236-6601"},"institutions":[{"id":"https://openalex.org/I2799829267","display_name":"Simula Research Laboratory","ror":"https://ror.org/00vn06n10","country_code":"NO","type":"facility","lineage":["https://openalex.org/I2799829267"]},{"id":"https://openalex.org/I4387153661","display_name":"Simula UiB","ror":"https://ror.org/05kmggt55","country_code":null,"type":"nonprofit","lineage":["https://openalex.org/I2799829267","https://openalex.org/I4387153661","https://openalex.org/I4432739"]}],"countries":["NO"],"is_corresponding":false,"raw_author_name":"Eirik Rosnes","raw_affiliation_strings":["Simula UiB,Bergen,Norway,N-5006"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Simula UiB,Bergen,Norway,N-5006","institution_ids":["https://openalex.org/I2799829267","https://openalex.org/I4387153661"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014522913","display_name":"Alexandre Graell i Amat","orcid":"https://orcid.org/0000-0002-5725-869X"},"institutions":[{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Alexandre Graell I Amat","raw_affiliation_strings":["Chalmers University of Technology,Department of Electrical Engineering,Gothenburg,Sweden,SE-41296"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chalmers University of Technology,Department of Electrical Engineering,Gothenburg,Sweden,SE-41296","institution_ids":["https://openalex.org/I66862912"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2839,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.80046016,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"377","last_page":"382"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12029","display_name":"DNA and Biological Computing","score":1.0,"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":1.0,"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/T10207","display_name":"Advanced biosensing and bioanalysis techniques","score":0.9994000196456909,"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/T12162","display_name":"Cellular Automata and Applications","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/concatenated-error-correction-code","display_name":"Concatenated error correction code","score":0.6940779089927673},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6628126502037048},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6266923546791077},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6237674951553345},{"id":"https://openalex.org/keywords/convolutional-code","display_name":"Convolutional code","score":0.5457288026809692},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5349133610725403},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.4451406002044678},{"id":"https://openalex.org/keywords/nanopore-sequencing","display_name":"Nanopore sequencing","score":0.4406469464302063},{"id":"https://openalex.org/keywords/serial-concatenated-convolutional-codes","display_name":"Serial concatenated convolutional codes","score":0.43039470911026},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37689322233200073},{"id":"https://openalex.org/keywords/dna-sequencing","display_name":"DNA sequencing","score":0.2066144049167633},{"id":"https://openalex.org/keywords/dna","display_name":"DNA","score":0.18639668822288513},{"id":"https://openalex.org/keywords/block-code","display_name":"Block code","score":0.15896785259246826},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.11796799302101135},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09513199329376221},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.07521572709083557}],"concepts":[{"id":"https://openalex.org/C78944582","wikidata":"https://www.wikidata.org/wiki/Q5158264","display_name":"Concatenated error correction code","level":4,"score":0.6940779089927673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6628126502037048},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6266923546791077},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6237674951553345},{"id":"https://openalex.org/C157899210","wikidata":"https://www.wikidata.org/wiki/Q1395022","display_name":"Convolutional code","level":3,"score":0.5457288026809692},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5349133610725403},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.4451406002044678},{"id":"https://openalex.org/C126513998","wikidata":"https://www.wikidata.org/wiki/Q8973627","display_name":"Nanopore sequencing","level":4,"score":0.4406469464302063},{"id":"https://openalex.org/C33529081","wikidata":"https://www.wikidata.org/wiki/Q18378194","display_name":"Serial concatenated convolutional codes","level":5,"score":0.43039470911026},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37689322233200073},{"id":"https://openalex.org/C51679486","wikidata":"https://www.wikidata.org/wiki/Q380546","display_name":"DNA sequencing","level":3,"score":0.2066144049167633},{"id":"https://openalex.org/C552990157","wikidata":"https://www.wikidata.org/wiki/Q7430","display_name":"DNA","level":2,"score":0.18639668822288513},{"id":"https://openalex.org/C157125643","wikidata":"https://www.wikidata.org/wiki/Q884707","display_name":"Block code","level":3,"score":0.15896785259246826},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11796799302101135},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09513199329376221},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.07521572709083557}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/itw55543.2023.10161642","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itw55543.2023.10161642","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Information Theory Workshop (ITW)","raw_type":"proceedings-article"},{"id":"pmh:oai:research.chalmers.se:536766","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/536766","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1522919591","https://openalex.org/W1968626661","https://openalex.org/W2010838795","https://openalex.org/W2025383314","https://openalex.org/W2061475625","https://openalex.org/W2103353540","https://openalex.org/W2114487425","https://openalex.org/W2139490030","https://openalex.org/W2141042115","https://openalex.org/W2151961505","https://openalex.org/W2157477135","https://openalex.org/W2167082268","https://openalex.org/W2951269465","https://openalex.org/W3009659041","https://openalex.org/W3014254451","https://openalex.org/W3080465559","https://openalex.org/W3082927884","https://openalex.org/W3190296759","https://openalex.org/W3198701793","https://openalex.org/W3198709941","https://openalex.org/W3216171223","https://openalex.org/W4213456065","https://openalex.org/W4289655255","https://openalex.org/W6675543121"],"related_works":["https://openalex.org/W1972318883","https://openalex.org/W2534582423","https://openalex.org/W2121305283","https://openalex.org/W2015741799","https://openalex.org/W2168862745","https://openalex.org/W3114701954","https://openalex.org/W1944343091","https://openalex.org/W1603044377","https://openalex.org/W2098086720","https://openalex.org/W1996737726"],"abstract_inverted_index":{"The":[0,57],"errors":[1],"occurring":[2],"in":[3,8,89],"DNA-based":[4],"storage":[5,72,116],"are":[6],"correlated":[7],"nature,":[9],"which":[10,37],"is":[11],"a":[12,49,75,92,121],"direct":[13],"consequence":[14],"of":[15,42],"the":[16,26,39,43,47,69,80,87,101,114],"synthesis":[17],"and":[18,85,131],"sequencing":[19],"processes.":[20],"In":[21],"this":[22,54],"paper,":[23],"we":[24],"consider":[25],"memory-k":[27,81],"nanopore":[28,82],"channel":[29,55,73,83],"model":[30],"recently":[31],"introduced":[32],"by":[33],"Hamoum":[34],"et":[35],"al.,":[36],"models":[38],"inherent":[40],"memory":[41,94],"channel.":[44,117],"We":[45,118],"derive":[46],"maximum":[48],"posteriori":[50],"(MAP)":[51],"decoder":[52,60,77,104],"for":[53,68],"model.":[56],"derived":[58,102],"MAP":[59,103],"allows":[61],"us":[62],"to":[63,79,108,113],"compute":[64],"achievable":[65],"information":[66],"rates":[67],"true":[70],"DNA":[71,115],"assuming":[74,91],"mismatched":[76],"matched":[78],"model,":[84],"quantify":[86],"loss":[88],"performance":[90],"small":[93],"length\u2014and":[95],"hence":[96],"limited":[97],"decoding":[98],"complexity.":[99],"Furthermore,":[100],"can":[105],"be":[106],"used":[107],"design":[109],"error-correcting":[110],"codes":[111],"tailored":[112],"show":[119],"that":[120],"concatenated":[122],"coding":[123],"scheme":[124],"with":[125],"an":[126,132],"outer":[127],"low-density":[128],"parity-check":[129],"code":[130,135],"inner":[133],"convolutional":[134],"yields":[136],"excellent":[137],"performance.":[138]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
