{"id":"https://openalex.org/W3004680881","doi":"https://doi.org/10.1109/bibm47256.2019.8982961","title":"A Bidirectional Fuzzy Index and Approximate Search Algorithm for Next Generation Sequencing","display_name":"A Bidirectional Fuzzy Index and Approximate Search Algorithm for Next Generation Sequencing","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3004680881","doi":"https://doi.org/10.1109/bibm47256.2019.8982961","mag":"3004680881"},"language":"en","primary_location":{"id":"doi:10.1109/bibm47256.2019.8982961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm47256.2019.8982961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102831056","display_name":"Wei Quan","orcid":"https://orcid.org/0000-0001-8387-1896"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Quan","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109302852","display_name":"Guangri Quan","orcid":null},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangri Quan","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077374179","display_name":"Bo Liu","orcid":"https://orcid.org/0000-0003-2221-7019"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Liu","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100392447","display_name":"Yadong Wang","orcid":"https://orcid.org/0000-0001-6500-6217"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yadong Wang","raw_affiliation_strings":["School of Computer Science and Technology, Harbin Institute of Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Harbin Institute of Technology","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204983213"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"293","last_page":"297"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9627000093460083,"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":0.9627000093460083,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9556999802589417,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9451000094413757,"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":0.6455121636390686},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5874890089035034},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.575125515460968},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5100134611129761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2194126546382904}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6455121636390686},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5874890089035034},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.575125515460968},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5100134611129761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2194126546382904},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm47256.2019.8982961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm47256.2019.8982961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W26356079","https://openalex.org/W1520575986","https://openalex.org/W2000586119","https://openalex.org/W2022603493","https://openalex.org/W2037953066","https://openalex.org/W2051511420","https://openalex.org/W2097341408","https://openalex.org/W2103441770","https://openalex.org/W2112113834","https://openalex.org/W2124985265","https://openalex.org/W2134800079","https://openalex.org/W2139760555","https://openalex.org/W2154468535","https://openalex.org/W2170551349","https://openalex.org/W2755804176"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857"],"abstract_inverted_index":{"Sequence":[0],"alignment":[1,14,27,39,43,144,155,169],"is":[2,57,107,121,150,159],"one":[3],"of":[4,22,69,83,101,116,146,157,167],"the":[5,12,32,38,67,73,78,99,111,117,130,133,140,143,147,154,165],"most":[6],"important":[7],"problems":[8],"in":[9,18,110],"bioinformatics.":[10],"However,":[11,153],"existing":[13,134],"tools":[15,135],"may":[16],"result":[17,97],"a":[19,50],"large":[20],"number":[21,100],"candidate":[23,74,113],"locations":[24,75],"which":[25,41,56],"degradate":[26],"performance.":[28],"Recent":[29],"researches":[30],"discard":[31],"high":[33],"repetitive":[34],"seeds":[35,70],"for":[36],"improving":[37],"speed,":[40],"influences":[42],"accuracy.":[44,170],"To":[45],"this":[46],"end,":[47],"we":[48],"propose":[49],"novel":[51],"fuzzy":[52],"index":[53],"(":[54],"fBWT),":[55],"available":[58],"at":[59],"https://github.com/weiquan/appr_bwt.":[60],"It":[61],"allows":[62],"approximate":[63],"search":[64],"and":[65,76,92,132],"extending":[66],"length":[68,94],"to":[71],"reduce":[72],"accelerate":[77],"sequence":[79],"alignment.":[80],"The":[81,96,127],"performance":[82],"our":[84],"tool":[85,120,149],"was":[86],"compared":[87],"with":[88],"BWA":[89,163],"using":[90],"150bp":[91],"250bp":[93],"datasets.":[95],"shows":[98],"misaligned":[102],"reads":[103],"(the":[104],"correct":[105],"position":[106,114],"not":[108],"included":[109],"high-score":[112],"set)":[115],"current":[118],"mainstream":[119],"5-10":[122],"times":[123],"higher":[124],"than":[125,162],"it.":[126],"efficiency":[128],"between":[129],"presented":[131,148],"are":[136],"also":[137],"compared.":[138],"Under":[139],"above":[141],"conditions,":[142],"time":[145],"very":[151],"close.":[152],"speed":[156],"fBWT":[158],"much":[160],"faster":[161],"under":[164],"requirement":[166],"similar":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
