{"id":"https://openalex.org/W1998140328","doi":"https://doi.org/10.1186/1471-2105-10-s1-s10","title":"Improved algorithms for approximate string matching (extended abstract)","display_name":"Improved algorithms for approximate string matching (extended abstract)","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W1998140328","doi":"https://doi.org/10.1186/1471-2105-10-s1-s10","mag":"1998140328","pmid":"https://pubmed.ncbi.nlm.nih.gov/19208109"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-10-s1-s10","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-10-s1-s10","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-10-S1-S10","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-10-S1-S10","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103109139","display_name":"Dimitris Papamichail","orcid":"https://orcid.org/0000-0002-1776-8636"},"institutions":[{"id":"https://openalex.org/I145608581","display_name":"University of Miami","ror":"https://ror.org/02dgjyy92","country_code":"US","type":"education","lineage":["https://openalex.org/I145608581"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Dimitris Papamichail","raw_affiliation_strings":["Department of Computer Science, University of Miami, Coral Gables, Miami, USA. dimitris@cs.miami.edu","Department of Computer Science, University of Miami, Coral Gables, Miami, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Miami, Coral Gables, Miami, USA. dimitris@cs.miami.edu","institution_ids":["https://openalex.org/I145608581"]},{"raw_affiliation_string":"Department of Computer Science, University of Miami, Coral Gables, Miami, USA","institution_ids":["https://openalex.org/I145608581"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109921739","display_name":"Georgios Papamichail","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Georgios Papamichail","raw_affiliation_strings":["National Center of Public Administration, Athens, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Center of Public Administration, Athens, Greece","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5103109139"],"corresponding_institution_ids":["https://openalex.org/I145608581"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":{"value":2790,"currency":"USD","value_usd":2790},"fwci":2.0935,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.89273877,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"10","issue":"S1","first_page":"S10","last_page":"S10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.858299970626831,"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"}},"topics":[{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.858299970626831,"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/T11719","display_name":"Data Quality and Management","score":0.033399999141693115,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.02199999988079071,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/string-searching-algorithm","display_name":"String searching algorithm","score":0.6319636702537537},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5880350470542908},{"id":"https://openalex.org/keywords/string","display_name":"String (physics)","score":0.5693932175636292},{"id":"https://openalex.org/keywords/dna-microarray","display_name":"DNA microarray","score":0.5208407044410706},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.501389741897583},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4738598167896271},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.38869598507881165},{"id":"https://openalex.org/keywords/pattern-matching","display_name":"Pattern matching","score":0.34809350967407227},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25055769085884094},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.17472165822982788},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16376736760139465},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.09502145648002625}],"concepts":[{"id":"https://openalex.org/C7757238","wikidata":"https://www.wikidata.org/wiki/Q374040","display_name":"String searching algorithm","level":3,"score":0.6319636702537537},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5880350470542908},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.5693932175636292},{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.5208407044410706},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.501389741897583},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4738598167896271},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.38869598507881165},{"id":"https://openalex.org/C68859911","wikidata":"https://www.wikidata.org/wiki/Q1503724","display_name":"Pattern matching","level":2,"score":0.34809350967407227},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25055769085884094},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.17472165822982788},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16376736760139465},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.09502145648002625},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016415","descriptor_name":"Sequence Alignment","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016415","descriptor_name":"Sequence Alignment","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016415","descriptor_name":"Sequence Alignment","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/1471-2105-10-s1-s10","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-10-s1-s10","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-10-S1-S10","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:19208109","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19208109","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:doaj.org/article:01d5d52132ba483ab726569ce6e4d25a","is_oa":false,"landing_page_url":"https://doaj.org/article/01d5d52132ba483ab726569ce6e4d25a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics, Vol 10, Iss Suppl 1, p S10 (2009)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:2648743","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2648743","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/1471-2105-10-s1-s10","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-10-s1-s10","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-10-S1-S10","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1998140328.pdf","grobid_xml":"https://content.openalex.org/works/W1998140328.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W1970026646","https://openalex.org/W1977618577","https://openalex.org/W2011632873","https://openalex.org/W2012010763","https://openalex.org/W2039262760","https://openalex.org/W2044966609","https://openalex.org/W2074231493","https://openalex.org/W2078993594","https://openalex.org/W2130200371","https://openalex.org/W2144796611","https://openalex.org/W2165654401"],"related_works":["https://openalex.org/W3145288231","https://openalex.org/W2371263218","https://openalex.org/W2092552144","https://openalex.org/W2943461603","https://openalex.org/W2354196777","https://openalex.org/W2965473297","https://openalex.org/W2108265183","https://openalex.org/W2257399947","https://openalex.org/W2248278495","https://openalex.org/W2386746909"],"abstract_inverted_index":{"BACKGROUND:":[0],"The":[1,132],"problem":[2,71],"of":[3,35,40,51,75,115,119,134,162,171,182],"approximate":[4,43],"string":[5,48,122],"matching":[6],"is":[7,99,185],"important":[8],"in":[9,46,81,139,142,151],"many":[10],"different":[11],"areas":[12],"such":[13],"as":[14],"computational":[15],"biology,":[16],"text":[17],"processing":[18],"and":[19,78,94,124,160,177],"pattern":[20,44],"recognition.":[21],"A":[22],"great":[23],"effort":[24],"has":[25],"been":[26],"made":[27],"to":[28],"design":[29],"efficient":[30],"algorithms":[31],"addressing":[32],"several":[33],"variants":[34],"the":[36,52,68,100,104,112,116,120,145,157,168],"problem,":[37],"including":[38],"comparison":[39],"two":[41,57,73,105,146,172],"strings,":[42],"identification":[45],"a":[47,163],"or":[49],"calculation":[50],"longest":[53,121],"common":[54],"subsequence":[55],"that":[56],"strings":[58,74,147,173],"share.":[59],"RESULTS:":[60],"We":[61,154],"designed":[62],"an":[63],"output":[64],"sensitive":[65],"algorithm":[66,117,136,165,184],"solving":[67],"edit":[69,101,169],"distance":[70,102,170],"between":[72,103],"lengths":[76],"n":[77],"m":[79,91],"respectively":[80],"time":[82,109],"O((s":[83],"-":[84,86],"|n":[85],"m|).min(m,":[87],"n,":[88],"s)":[89],"+":[90,92],"n)":[93],"linear":[95],"space,":[96],"where":[97,144],"s":[98],"strings.":[106],"This":[107],"worst-case":[108],"bound":[110],"sets":[111],"quadratic":[113],"factor":[114],"independent":[118],"length":[123],"improves":[125],"existing":[126],"theoretical":[127,176],"bounds":[128],"for":[129,166],"this":[130],"problem.":[131],"implementation":[133,161],"our":[135,183],"also":[137],"excels":[138],"practice,":[140],"especially":[141],"cases":[143],"compared":[148],"differ":[149],"significantly":[150],"length.":[152],"CONCLUSION:":[153],"have":[155],"provided":[156],"design,":[158],"analysis":[159],"new":[164],"calculating":[167],"with":[174],"both":[175],"practical":[178],"implications.":[179],"Source":[180],"code":[181],"available":[186],"online.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}