{"id":"https://openalex.org/W3129074085","doi":"https://doi.org/10.1109/bibm49941.2020.9313598","title":"MotiMul: A significant discriminative sequence motif discovery algorithm with multiple testing correction","display_name":"MotiMul: A significant discriminative sequence motif discovery algorithm with multiple testing correction","publication_year":2020,"publication_date":"2020-12-16","ids":{"openalex":"https://openalex.org/W3129074085","doi":"https://doi.org/10.1109/bibm49941.2020.9313598","mag":"3129074085"},"language":"en","primary_location":{"id":"doi:10.1109/bibm49941.2020.9313598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5009907721","display_name":"K\u014dichi Mori","orcid":"https://orcid.org/0000-0001-8865-2107"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Koichi Mori","raw_affiliation_strings":["Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075457615","display_name":"Haruka Ozaki","orcid":"https://orcid.org/0000-0002-1606-2762"},"institutions":[{"id":"https://openalex.org/I146399215","display_name":"University of Tsukuba","ror":"https://ror.org/02956yf07","country_code":"JP","type":"education","lineage":["https://openalex.org/I146399215"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Haruka Ozaki","raw_affiliation_strings":["Faculty of Medicine, University of Tsukuba, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Medicine, University of Tsukuba, Tokyo, Japan","institution_ids":["https://openalex.org/I146399215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085566781","display_name":"Tsukasa Fukunaga","orcid":"https://orcid.org/0000-0003-4442-6049"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tsukasa Fukunaga","raw_affiliation_strings":["Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.13666142,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"186","last_page":"193"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9994999766349792,"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/T10521","display_name":"RNA and protein synthesis mechanisms","score":0.9990000128746033,"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/sequence-motif","display_name":"Sequence motif","score":0.6482691764831543},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6300000548362732},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6242474317550659},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6132630109786987},{"id":"https://openalex.org/keywords/motif","display_name":"Motif (music)","score":0.6035929918289185},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.5317177772521973},{"id":"https://openalex.org/keywords/false-discovery-rate","display_name":"False discovery rate","score":0.5155401229858398},{"id":"https://openalex.org/keywords/type-i-and-type-ii-errors","display_name":"Type I and type II errors","score":0.49401289224624634},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4703004062175751},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.46095019578933716},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.4506802260875702},{"id":"https://openalex.org/keywords/error-detection-and-correction","display_name":"Error detection and correction","score":0.4244539141654968},{"id":"https://openalex.org/keywords/multiple-comparisons-problem","display_name":"Multiple comparisons problem","score":0.41451898217201233},{"id":"https://openalex.org/keywords/source-code","display_name":"Source code","score":0.41438060998916626},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3858448565006256},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37246039509773254},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2974197268486023},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.25939688086509705},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.1860189437866211},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.18167981505393982},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.17181208729743958},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16914063692092896},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1254684329032898}],"concepts":[{"id":"https://openalex.org/C117745874","wikidata":"https://www.wikidata.org/wiki/Q901612","display_name":"Sequence motif","level":3,"score":0.6482691764831543},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6300000548362732},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6242474317550659},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6132630109786987},{"id":"https://openalex.org/C32276052","wikidata":"https://www.wikidata.org/wiki/Q908349","display_name":"Motif (music)","level":2,"score":0.6035929918289185},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.5317177772521973},{"id":"https://openalex.org/C193244246","wikidata":"https://www.wikidata.org/wiki/Q5432696","display_name":"False discovery rate","level":3,"score":0.5155401229858398},{"id":"https://openalex.org/C40696583","wikidata":"https://www.wikidata.org/wiki/Q989120","display_name":"Type I and type II errors","level":2,"score":0.49401289224624634},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4703004062175751},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.46095019578933716},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4506802260875702},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.4244539141654968},{"id":"https://openalex.org/C183905921","wikidata":"https://www.wikidata.org/wiki/Q1038757","display_name":"Multiple comparisons problem","level":2,"score":0.41451898217201233},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.41438060998916626},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3858448565006256},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37246039509773254},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2974197268486023},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.25939688086509705},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.1860189437866211},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.18167981505393982},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.17181208729743958},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16914063692092896},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1254684329032898},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm49941.2020.9313598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.75}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W97752496","https://openalex.org/W1592870802","https://openalex.org/W1964472431","https://openalex.org/W1966354073","https://openalex.org/W1991671781","https://openalex.org/W2014677321","https://openalex.org/W2023600785","https://openalex.org/W2058832897","https://openalex.org/W2104579579","https://openalex.org/W2118393799","https://openalex.org/W2129977376","https://openalex.org/W2142690132","https://openalex.org/W2147694185","https://openalex.org/W2157009395","https://openalex.org/W2273834817","https://openalex.org/W2293652778","https://openalex.org/W2462021937","https://openalex.org/W2528967511","https://openalex.org/W2588934844","https://openalex.org/W2625232369","https://openalex.org/W2776445032","https://openalex.org/W2796100499","https://openalex.org/W2801285565","https://openalex.org/W2808475704","https://openalex.org/W2943967679","https://openalex.org/W2952209472","https://openalex.org/W2964277278","https://openalex.org/W2964648205","https://openalex.org/W2968815222","https://openalex.org/W2988500008","https://openalex.org/W2988716798","https://openalex.org/W2998448420","https://openalex.org/W3022765227","https://openalex.org/W3101127636","https://openalex.org/W3135811164","https://openalex.org/W4290305201"],"related_works":["https://openalex.org/W154531455","https://openalex.org/W2113330311","https://openalex.org/W2057633723","https://openalex.org/W2889978286","https://openalex.org/W3135758431","https://openalex.org/W2106547200","https://openalex.org/W2093463665","https://openalex.org/W104021676","https://openalex.org/W1995992573","https://openalex.org/W1483355650"],"abstract_inverted_index":{"Sequence":[0],"motifs":[1,17,96],"play":[2],"essential":[3],"roles":[4],"in":[5,68],"intermolecular":[6],"interactions":[7],"such":[8],"as":[9],"DNA-protein":[10],"interactions.":[11],"The":[12,167],"discovery":[13,72],"of":[14,109,117,133,142,170],"novel":[15],"sequence":[16,33,70,95,136,165],"is":[18,66,106,157,172],"therefore":[19,56],"crucial":[20],"for":[21,31,60,161],"revealing":[22],"gene":[23],"functions.":[24],"Various":[25],"bioinformatics":[26],"tools":[27],"have":[28],"been":[29,40],"developed":[30,89],"finding":[32,162],"motifs,":[34,137],"but":[35],"until":[36],"now":[37],"there":[38],"has":[39],"no":[41],"software":[42,55],"based":[43],"on":[44],"statistical":[45,82,115],"hypothesis":[46,119],"testing":[47,52,76,101],"with":[48,146],"statistically":[49,98,127],"sound":[50,99],"multiple":[51,75,100],"correction.":[53,87,102,148],"Existing":[54],"could":[57],"not":[58],"control":[59],"the":[61,69,107,114,118,130,134,143],"type-l":[62],"error":[63],"rates.":[64],"This":[65],"because,":[67],"motif":[71],"problem,":[73],"conventional":[74],"correction":[77],"methods":[78],"produce":[79],"very":[80],"low":[81],"power":[83,116],"due":[84],"to":[85],"overly-strict":[86],"We":[88],"MotiMul,":[90],"which":[91,112],"comprehensively":[92],"finds":[93],"significant":[94,135],"using":[97],"Our":[103],"key":[104],"idea":[105],"application":[108],"Tarone's":[110,147],"correction,":[111],"improves":[113],"test":[120],"by":[121],"ignoring":[122],"hypotheses":[123],"that":[124,155],"never":[125],"become":[126],"significant.":[128],"For":[129],"efficient":[131],"enumeration":[132],"we":[138],"integrated":[139],"a":[140,158],"variant":[141],"PrefixSpan":[144],"algorithm":[145],"Simulation":[149],"and":[150],"empirical":[151],"dataset":[152],"analysis":[153],"showed":[154],"MotiMul":[156,171],"powerful":[159],"method":[160],"biologically":[163],"meaningful":[164],"motifs.":[166],"source":[168],"code":[169],"freely":[173],"available":[174],"at":[175],"https://github.com/ko-ichimo-ri/MotiMul.":[176]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
