{"id":"https://openalex.org/W4210832068","doi":"https://doi.org/10.1145/2506583.2506611","title":"GLProbs","display_name":"GLProbs","publication_year":2013,"publication_date":"2013-09-22","ids":{"openalex":"https://openalex.org/W4210832068","doi":"https://doi.org/10.1145/2506583.2506611"},"language":"en","primary_location":{"id":"doi:10.1145/2506583.2506611","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2506583.2506611","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics","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/A5034360783","display_name":"Yongtao Ye","orcid":"https://orcid.org/0000-0001-8868-1389"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Yongtao Ye","raw_affiliation_strings":["University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108756735","display_name":"David W. Cheung","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"David W. Cheung","raw_affiliation_strings":["University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","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":["Harbin Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110500992","display_name":"Siu\u2010Ming Yiu","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Siu-Ming Yiu","raw_affiliation_strings":["University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101954637","display_name":"Qing Zhan","orcid":"https://orcid.org/0000-0003-4589-5461"},"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":"Qing Zhan","raw_affiliation_strings":["Harbin Institute of Technology"],"affiliations":[{"raw_affiliation_string":"Harbin Institute of Technology","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077116003","display_name":"Tak\u2010Wah Lam","orcid":"https://orcid.org/0000-0003-4676-8587"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Tak-Wah Lam","raw_affiliation_strings":["University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033934413","display_name":"Hing\u2010Fung Ting","orcid":"https://orcid.org/0000-0002-2807-2351"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hing-Fung Ting","raw_affiliation_strings":["University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"University of Hong Kong","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5034360783"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.29299919,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"152","last_page":"160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9997000098228455,"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":0.9997000098228455,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.991599977016449,"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/T10521","display_name":"RNA and protein synthesis mechanisms","score":0.9840999841690063,"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":0.74422687292099},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7287138104438782},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6792281270027161},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6286950707435608},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6191917657852173},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.5673444271087646},{"id":"https://openalex.org/keywords/multiple-sequence-alignment","display_name":"Multiple sequence alignment","score":0.5538566708564758},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5104669332504272},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5050001740455627},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35041141510009766},{"id":"https://openalex.org/keywords/sequence-alignment","display_name":"Sequence alignment","score":0.3468121886253357},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.060474783182144165}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.74422687292099},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7287138104438782},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6792281270027161},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6286950707435608},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6191917657852173},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.5673444271087646},{"id":"https://openalex.org/C88031987","wikidata":"https://www.wikidata.org/wiki/Q1377767","display_name":"Multiple sequence alignment","level":5,"score":0.5538566708564758},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5104669332504272},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5050001740455627},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35041141510009766},{"id":"https://openalex.org/C45484198","wikidata":"https://www.wikidata.org/wiki/Q827246","display_name":"Sequence alignment","level":4,"score":0.3468121886253357},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.060474783182144165},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C167625842","wikidata":"https://www.wikidata.org/wiki/Q899763","display_name":"Peptide sequence","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2506583.2506611","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2506583.2506611","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1489075871","https://openalex.org/W1567621547","https://openalex.org/W1611898338","https://openalex.org/W1694876563","https://openalex.org/W1969153299","https://openalex.org/W2008578449","https://openalex.org/W2042901562","https://openalex.org/W2060178110","https://openalex.org/W2060425093","https://openalex.org/W2106882534","https://openalex.org/W2109607376","https://openalex.org/W2120866529","https://openalex.org/W2121691652","https://openalex.org/W2127322768","https://openalex.org/W2127774996","https://openalex.org/W2132632499","https://openalex.org/W2132926880","https://openalex.org/W2137084536","https://openalex.org/W2140872496","https://openalex.org/W2144362290","https://openalex.org/W2162800127","https://openalex.org/W2163860567","https://openalex.org/W2170945060","https://openalex.org/W4205161312","https://openalex.org/W4241727697","https://openalex.org/W4245668478","https://openalex.org/W6806421124"],"related_works":["https://openalex.org/W2319693127","https://openalex.org/W308539617","https://openalex.org/W2051969447","https://openalex.org/W2072263576","https://openalex.org/W2153373894","https://openalex.org/W2111937814","https://openalex.org/W2474567666","https://openalex.org/W2162923930","https://openalex.org/W2495707678","https://openalex.org/W1482324242"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,18,82,94],"simple":[4],"and":[5,29,52,69,89],"effective":[6],"approach":[7],"to":[8,21],"improve":[9],"the":[10,23,26,36,49,66,74,110],"accuracy":[11,112],"of":[12,25,76],"multiple":[13,83],"sequence":[14,84],"alignment.":[15],"We":[16],"use":[17],"natural":[19],"measure":[20],"estimate":[22],"similarity":[24],"input":[27,37],"sequences,":[28],"based":[30],"on":[31,99],"this":[32,77],"measure,":[33],"we":[34,47,63,79],"align":[35,53,70],"sequences":[38,51],"differently.":[39],"For":[40],"example,":[41],"for":[42,57,113],"inputs":[43],"with":[44,59,93],"high":[45],"similarity,":[46,62],"consider":[48],"whole":[50],"them":[54],"globally,":[55],"while":[56],"those":[58],"moderately":[60],"low":[61],"may":[64],"ignore":[65],"flank":[67],"regions":[68],"locally.":[71],"To":[72],"test":[73],"effectiveness":[75],"approach,":[78],"have":[80],"implemented":[81],"alignment":[85,97,102],"tool":[86],"called":[87],"GLProbs,":[88],"compared":[90],"its":[91],"performance":[92],"dozen":[95],"leading":[96],"tools":[98],"three":[100],"benchmark":[101],"databases.":[103],"Our":[104],"results":[105],"show":[106],"that":[107],"GLProbs":[108],"has":[109],"best":[111],"almost":[114],"all":[115],"testings.":[116]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2022-02-09T00:00:00"}