{"id":"https://openalex.org/W2083500569","doi":"https://doi.org/10.1109/globalsip.2013.6736816","title":"PREMIER Turbo: Probabilistic error-correction using Markov inference in errored reads using the turbo principle","display_name":"PREMIER Turbo: Probabilistic error-correction using Markov inference in errored reads using the turbo principle","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W2083500569","doi":"https://doi.org/10.1109/globalsip.2013.6736816","mag":"2083500569"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2013.6736816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2013.6736816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Global Conference on Signal and Information Processing","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/A5040329133","display_name":"Xin Yin","orcid":"https://orcid.org/0000-0003-1610-5643"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xin Yin","raw_affiliation_strings":["Dept. of Statistics, Iowa State University, Ames, IA","Dept. of Stat., Iowa State Univ., Ames, IA, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Statistics, Iowa State University, Ames, IA","institution_ids":["https://openalex.org/I173911158"]},{"raw_affiliation_string":"Dept. of Stat., Iowa State Univ., Ames, IA, USA","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008391481","display_name":"Zhao Song","orcid":"https://orcid.org/0000-0002-0897-6724"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhao Song","raw_affiliation_strings":["Iowa State University, Ames, IA, US","Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Iowa State University, Ames, IA, US","institution_ids":["https://openalex.org/I173911158"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA#TAB#","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078428763","display_name":"Karin S. Dorman","orcid":"https://orcid.org/0000-0003-3650-0018"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Karin Dorman","raw_affiliation_strings":["Dept. of Genetics, Development & Cell Biology, Iowa State University, Ames, IA","Dept. of Stat., Iowa State Univ., Ames, IA, USA"],"affiliations":[{"raw_affiliation_string":"Dept. of Genetics, Development & Cell Biology, Iowa State University, Ames, IA","institution_ids":["https://openalex.org/I173911158"]},{"raw_affiliation_string":"Dept. of Stat., Iowa State Univ., Ames, IA, USA","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055656185","display_name":"Aditya Ramamoorthy","orcid":"https://orcid.org/0000-0003-3448-1271"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aditya Ramamoorthy","raw_affiliation_strings":["Dept. of Electrical & Computer Eng., Iowa State University, Ames, IA","Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Dept. of Electrical & Computer Eng., Iowa State University, Ames, IA","institution_ids":["https://openalex.org/I173911158"]},{"raw_affiliation_string":"Dept. of Electr. & Comput. Eng., Iowa State Univ., Ames, IA, USA#TAB#","institution_ids":["https://openalex.org/I173911158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5040329133"],"corresponding_institution_ids":["https://openalex.org/I173911158"],"apc_list":null,"apc_paid":null,"fwci":0.7311,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71304759,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"27","issue":null,"first_page":"73","last_page":"76"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","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"}},"topics":[{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","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/T10885","display_name":"Gene expression and cancer classification","score":0.9941999912261963,"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/T10222","display_name":"Genomics and Chromatin Dynamics","score":0.9871000051498413,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7240160703659058},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.7198769450187683},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.6756935119628906},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6666046380996704},{"id":"https://openalex.org/keywords/turbo-code","display_name":"Turbo code","score":0.6101236343383789},{"id":"https://openalex.org/keywords/turbo","display_name":"Turbo","score":0.5686336159706116},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5361931324005127},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5187376141548157},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.49940061569213867},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4739527702331543},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35118091106414795},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.33846330642700195},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2541232407093048},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.061263829469680786}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7240160703659058},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.7198769450187683},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.6756935119628906},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6666046380996704},{"id":"https://openalex.org/C114504821","wikidata":"https://www.wikidata.org/wiki/Q2164281","display_name":"Turbo code","level":3,"score":0.6101236343383789},{"id":"https://openalex.org/C2776240298","wikidata":"https://www.wikidata.org/wiki/Q1138513","display_name":"Turbo","level":2,"score":0.5686336159706116},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5361931324005127},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5187376141548157},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.49940061569213867},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4739527702331543},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35118091106414795},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.33846330642700195},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2541232407093048},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.061263829469680786},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2013.6736816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2013.6736816","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE Global Conference on Signal and Information Processing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W200569373","https://openalex.org/W1964807436","https://openalex.org/W1980032728","https://openalex.org/W1989193404","https://openalex.org/W2014099509","https://openalex.org/W2097529842","https://openalex.org/W2101250487","https://openalex.org/W2118526609","https://openalex.org/W2119284644","https://openalex.org/W2119745866","https://openalex.org/W2122812051","https://openalex.org/W2125838338","https://openalex.org/W2127768708","https://openalex.org/W2131776122","https://openalex.org/W2133956160","https://openalex.org/W2152246890","https://openalex.org/W2155889369","https://openalex.org/W2160265768","https://openalex.org/W2163251627","https://openalex.org/W2523692606"],"related_works":["https://openalex.org/W2116478666","https://openalex.org/W2535923291","https://openalex.org/W2980068837","https://openalex.org/W2593195270","https://openalex.org/W4287740435","https://openalex.org/W2103764150","https://openalex.org/W2010424581","https://openalex.org/W2497042610","https://openalex.org/W2098872742","https://openalex.org/W2101836519"],"abstract_inverted_index":{"We":[0,92],"present":[1,94],"a":[2,30,89,95,106,150],"probabilistic":[3],"algorithm":[4,19,59,113],"for":[5,8],"error":[6,39,78,116,153],"correction":[7,40,79,117,124,154],"high":[9],"throughput":[10],"DNA":[11],"sequencing":[12],"data.":[13],"Our":[14,119,133],"approach":[15,120],"leverages":[16],"our":[17],"prior":[18,103],"PREMIER":[20,61,73,147],"where":[21],"sequencer":[22],"outputs":[23],"are":[24],"modeled":[25],"as":[26,43,67],"independent":[27],"realizations":[28],"of":[29,38,45,71,125,130],"Hidden":[31],"Markov":[32],"Model":[33],"(HMM)":[34],"and":[35,84,141],"the":[36,72,82,85,102,111,115,123,128,131,137,157],"problem":[37],"is":[41],"posed":[42],"one":[44],"maximum":[46],"likelihood":[47],"sequence":[48],"detection":[49],"over":[50],"this":[51,54],"HMM.":[52],"In":[53],"work":[55],"we":[56,76],"propose":[57],"an":[58,68],"called":[60],"Turbo":[62,148],"which":[63],"can":[64],"be":[65],"viewed":[66],"iterative":[69],"application":[70],"approach.":[74],"Specifically,":[75],"apply":[77],"in":[80,88,127],"both":[81],"forward":[83],"backward":[86],"directions":[87],"given":[90],"read.":[91,132],"also":[93],"heuristic":[96],"inspired":[97],"by":[98,110],"turbo-equalization":[99],"that":[100,146],"incorporates":[101],"belief":[104],"on":[105,136],"nucleotide":[107],"position":[108],"returned":[109],"Baum-Welch":[112],"into":[114],"steps.":[118],"significantly":[121,151],"improves":[122],"nucleotides":[126],"beginning":[129],"test":[134],"results":[135],"real":[138],"C.":[139],"elegans":[140],"E.":[142],"coli":[143],"datasets":[144],"show":[145],"achieves":[149],"better":[152],"performance":[155],"than":[156],"other":[158],"competing":[159],"methods.":[160]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}