{"id":"https://openalex.org/W2088792575","doi":"https://doi.org/10.1145/2701126.2701151","title":"A new approach for approximate text search using genomic short-read mapping model","display_name":"A new approach for approximate text search using genomic short-read mapping model","publication_year":2015,"publication_date":"2015-01-08","ids":{"openalex":"https://openalex.org/W2088792575","doi":"https://doi.org/10.1145/2701126.2701151","mag":"2088792575"},"language":"en","primary_location":{"id":"doi:10.1145/2701126.2701151","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2701126.2701151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication","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/A5100430147","display_name":"Sunghwan Kim","orcid":"https://orcid.org/0000-0001-9828-2074"},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sung-Hwan Kim","raw_affiliation_strings":["Pusan National University, South Korea","Pusan National University , South Korea"],"affiliations":[{"raw_affiliation_string":"Pusan National University, South Korea","institution_ids":["https://openalex.org/I4921948"]},{"raw_affiliation_string":"Pusan National University , South Korea","institution_ids":["https://openalex.org/I4921948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008167944","display_name":"Hwan-Gue Cho","orcid":null},"institutions":[{"id":"https://openalex.org/I4921948","display_name":"Pusan National University","ror":"https://ror.org/01an57a31","country_code":"KR","type":"education","lineage":["https://openalex.org/I4921948"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hwan-Gue Cho","raw_affiliation_strings":["Pusan National University, South Korea","Pusan National University , South Korea"],"affiliations":[{"raw_affiliation_string":"Pusan National University, South Korea","institution_ids":["https://openalex.org/I4921948"]},{"raw_affiliation_string":"Pusan National University , South Korea","institution_ids":["https://openalex.org/I4921948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100430147"],"corresponding_institution_ids":["https://openalex.org/I4921948"],"apc_list":null,"apc_paid":null,"fwci":0.2917,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60790535,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9980999827384949,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9761000275611877,"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/fragment","display_name":"Fragment (logic)","score":0.7600975632667542},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7211588621139526},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6647766828536987},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6213914752006531},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5818827748298645},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.5800609588623047},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.5039600729942322},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4321010708808899},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.337741494178772},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3373461365699768},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1985623836517334},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.11956623196601868},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.10365301370620728}],"concepts":[{"id":"https://openalex.org/C2776235265","wikidata":"https://www.wikidata.org/wiki/Q18392052","display_name":"Fragment (logic)","level":2,"score":0.7600975632667542},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7211588621139526},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6647766828536987},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6213914752006531},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5818827748298645},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.5800609588623047},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.5039600729942322},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4321010708808899},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.337741494178772},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3373461365699768},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1985623836517334},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.11956623196601868},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10365301370620728},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2701126.2701151","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2701126.2701151","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G8538272195","display_name":null,"funder_award_id":"2011-0015359","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1966572783","https://openalex.org/W1977729554","https://openalex.org/W1995078504","https://openalex.org/W2031637148","https://openalex.org/W2103441770","https://openalex.org/W2111593814","https://openalex.org/W2113403290","https://openalex.org/W2139527693","https://openalex.org/W2147742901","https://openalex.org/W2158322625","https://openalex.org/W2161546116","https://openalex.org/W2170899819","https://openalex.org/W2250682757"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W4312814274","https://openalex.org/W1590307681","https://openalex.org/W2118815061","https://openalex.org/W2215353002","https://openalex.org/W4297022878","https://openalex.org/W2080846028","https://openalex.org/W2354973579"],"abstract_inverted_index":{"In":[0,37,69],"genomic":[1,28,84],"sequence":[2],"analysis,":[3],"approximate":[4],"searching":[5],"is":[6,20,45,49,137],"necessary":[7],"to":[8,51,76,109,123],"tolerate":[9],"errors":[10],"involved":[11],"from":[12],"genetic":[13],"or":[14],"mechanic":[15],"reasons.":[16],"Short-read":[17],"mapping":[18],"method":[19,92,107,136],"one":[21],"of":[22,34,43,120],"the":[23,53,61,102,117,141],"methods":[24],"that":[25,96,134],"can":[26],"search":[27,77,103],"objects":[29,79],"allowing":[30],"an":[31],"acceptable":[32],"level":[33],"error":[35],"rates.":[36],"this":[38,70,74],"model,":[39],"a":[40,57,83,90,98,127],"large":[41],"set":[42],"fragments":[44,62,111,122],"given,":[46],"and":[47],"it":[48],"asked":[50],"find":[52],"similar":[54],"regions":[55],"on":[56],"long":[58],"sequence,":[59],"where":[60],"are":[63],"matched":[64],"as":[65,67],"many":[66],"possible.":[68],"paper,":[71],"we":[72,87],"exploit":[73],"model":[75],"textual":[78],"treating":[80],"them":[81],"in":[82,101],"view.":[85],"And":[86],"also":[88],"propose":[89],"new":[91],"for":[93],"fragment":[94],"ordering":[95],"considers":[97],"time":[99,129],"limit":[100],"process.":[104],"The":[105],"proposed":[106],"tends":[108],"select":[110],"having":[112],"less":[113],"frequency,":[114],"which":[115],"allows":[116],"maximum":[118],"number":[119],"distinct":[121],"be":[124],"processed":[125],"within":[126],"short":[128],"period.":[130],"Empirical":[131],"tests":[132],"showed":[133],"our":[135],"much":[138],"faster":[139],"than":[140],"previous":[142],"method.":[143]},"counts_by_year":[{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
