{"id":"https://openalex.org/W1996112765","doi":"https://doi.org/10.1371/journal.pcbi.1000069","title":"A Probabilistic Model of Local Sequence Alignment That Simplifies Statistical Significance Estimation","display_name":"A Probabilistic Model of Local Sequence Alignment That Simplifies Statistical Significance Estimation","publication_year":2008,"publication_date":"2008-05-29","ids":{"openalex":"https://openalex.org/W1996112765","doi":"https://doi.org/10.1371/journal.pcbi.1000069","mag":"1996112765","pmid":"https://pubmed.ncbi.nlm.nih.gov/18516236"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1000069","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1000069","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1000069&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLoS Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1000069&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020118397","display_name":"Sean R. Eddy","orcid":"https://orcid.org/0000-0001-6676-4706"},"institutions":[{"id":"https://openalex.org/I195573530","display_name":"Janelia Research Campus","ror":"https://ror.org/013sk6x84","country_code":"US","type":"facility","lineage":["https://openalex.org/I1344073410","https://openalex.org/I195573530"]},{"id":"https://openalex.org/I1344073410","display_name":"Howard Hughes Medical Institute","ror":"https://ror.org/006w34k90","country_code":"US","type":"facility","lineage":["https://openalex.org/I1344073410"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sean R. Eddy","raw_affiliation_strings":["Howard Hughes Medical Institute, Janelia Farm Research Campus, Ashburn, Virginia, United States of America. eddys@janelia.hhmi.org","Howard Hughes Medical Institute, Janelia Farm Research Campus, Ashburn, Virginia, United States of America"],"affiliations":[{"raw_affiliation_string":"Howard Hughes Medical Institute, Janelia Farm Research Campus, Ashburn, Virginia, United States of America. eddys@janelia.hhmi.org","institution_ids":["https://openalex.org/I195573530"]},{"raw_affiliation_string":"Howard Hughes Medical Institute, Janelia Farm Research Campus, Ashburn, Virginia, United States of America","institution_ids":["https://openalex.org/I195573530","https://openalex.org/I1344073410"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5020118397"],"corresponding_institution_ids":["https://openalex.org/I1344073410","https://openalex.org/I195573530"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":42.8135,"has_fulltext":true,"cited_by_count":356,"citation_normalized_percentile":{"value":0.99835923,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"4","issue":"5","first_page":"e1000069","last_page":"e1000069"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.998199999332428,"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":0.998199999332428,"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/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9959999918937683,"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/T11106","display_name":"Data Management and Algorithms","score":0.984499990940094,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/gumbel-distribution","display_name":"Gumbel distribution","score":0.8232461214065552},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7221479415893555},{"id":"https://openalex.org/keywords/viterbi-algorithm","display_name":"Viterbi algorithm","score":0.7205376625061035},{"id":"https://openalex.org/keywords/statistical-model","display_name":"Statistical model","score":0.6556321382522583},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5789968967437744},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5610302090644836},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4912101626396179},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.43853816390037537},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41028040647506714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3844067454338074},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.36838793754577637},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.36398905515670776},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3302555978298187},{"id":"https://openalex.org/keywords/extreme-value-theory","display_name":"Extreme value theory","score":0.1228305995464325},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.0775003731250763},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.07397821545600891}],"concepts":[{"id":"https://openalex.org/C137610916","wikidata":"https://www.wikidata.org/wiki/Q1096862","display_name":"Gumbel distribution","level":3,"score":0.8232461214065552},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7221479415893555},{"id":"https://openalex.org/C60582962","wikidata":"https://www.wikidata.org/wiki/Q83886","display_name":"Viterbi algorithm","level":3,"score":0.7205376625061035},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.6556321382522583},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5789968967437744},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5610302090644836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4912101626396179},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.43853816390037537},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41028040647506714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3844067454338074},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.36838793754577637},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.36398905515670776},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3302555978298187},{"id":"https://openalex.org/C147581598","wikidata":"https://www.wikidata.org/wiki/Q729429","display_name":"Extreme value theory","level":2,"score":0.1228305995464325},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0775003731250763},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.07397821545600891}],"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":"D001483","descriptor_name":"Base Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001483","descriptor_name":"Base Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001483","descriptor_name":"Base Sequence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002874","descriptor_name":"Chromosome Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D002874","descriptor_name":"Chromosome Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D002874","descriptor_name":"Chromosome Mapping","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008969","descriptor_name":"Molecular Sequence Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008969","descriptor_name":"Molecular Sequence Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008969","descriptor_name":"Molecular Sequence Data","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016415","descriptor_name":"Sequence Alignment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016415","descriptor_name":"Sequence Alignment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016415","descriptor_name":"Sequence Alignment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017422","descriptor_name":"Sequence Analysis, DNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017422","descriptor_name":"Sequence Analysis, DNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D017422","descriptor_name":"Sequence Analysis, DNA","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1371/journal.pcbi.1000069","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1000069","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1000069&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLoS Computational Biology","raw_type":"journal-article"},{"id":"pmid:18516236","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/18516236","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":"PLoS computational biology","raw_type":null},{"id":"pmh:oai:RePEc:plo:pcbi00:1000069","is_oa":false,"landing_page_url":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000069","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:doaj.org/article:5dfd88e407dc49c6b637624e120208de","is_oa":true,"landing_page_url":"https://doaj.org/article/5dfd88e407dc49c6b637624e120208de","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 4, Iss 5, p e1000069 (2008)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:1380838","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2396288","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":null,"raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1000069","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1000069","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1000069&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLoS Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1996112765.pdf","grobid_xml":"https://content.openalex.org/works/W1996112765.grobid-xml"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W1509562192","https://openalex.org/W1529209937","https://openalex.org/W1607198972","https://openalex.org/W1659313070","https://openalex.org/W1965998064","https://openalex.org/W1966570126","https://openalex.org/W1973578915","https://openalex.org/W1990853496","https://openalex.org/W2002180966","https://openalex.org/W2003787247","https://openalex.org/W2009570821","https://openalex.org/W2015315215","https://openalex.org/W2026808309","https://openalex.org/W2033177501","https://openalex.org/W2045067706","https://openalex.org/W2045894847","https://openalex.org/W2055043387","https://openalex.org/W2057177664","https://openalex.org/W2058336694","https://openalex.org/W2061029680","https://openalex.org/W2070220641","https://openalex.org/W2071749306","https://openalex.org/W2072340282","https://openalex.org/W2075950471","https://openalex.org/W2079699340","https://openalex.org/W2087064593","https://openalex.org/W2090723696","https://openalex.org/W2094378111","https://openalex.org/W2094519647","https://openalex.org/W2096234478","https://openalex.org/W2102122585","https://openalex.org/W2103146429","https://openalex.org/W2106241755","https://openalex.org/W2108808477","https://openalex.org/W2109533003","https://openalex.org/W2110434201","https://openalex.org/W2115385703","https://openalex.org/W2120122292","https://openalex.org/W2122665495","https://openalex.org/W2124285343","https://openalex.org/W2133312664","https://openalex.org/W2136280642","https://openalex.org/W2140244239","https://openalex.org/W2142131700","https://openalex.org/W2145293832","https://openalex.org/W2146086467","https://openalex.org/W2149151507","https://openalex.org/W2155480346","https://openalex.org/W2158714788","https://openalex.org/W2158749079","https://openalex.org/W2159364800","https://openalex.org/W2160446587","https://openalex.org/W2164886928","https://openalex.org/W2312194337","https://openalex.org/W2796537448","https://openalex.org/W3140968660","https://openalex.org/W4229723287","https://openalex.org/W4246726420","https://openalex.org/W6630321736","https://openalex.org/W6675391919","https://openalex.org/W6676380867","https://openalex.org/W6683494911","https://openalex.org/W6698205776","https://openalex.org/W7048060829"],"related_works":["https://openalex.org/W2136652457","https://openalex.org/W2169849734","https://openalex.org/W2160171981","https://openalex.org/W2116722627","https://openalex.org/W2385954530","https://openalex.org/W1975869217","https://openalex.org/W2236912844","https://openalex.org/W2129150969","https://openalex.org/W2401728283","https://openalex.org/W2383829109"],"abstract_inverted_index":{"Sequence":[0],"database":[1],"searches":[2],"require":[3],"accurate":[4,140],"estimation":[5],"of":[6,10,25,54,82,105,124,142],"the":[7,26,51,101,111,133],"statistical":[8],"significance":[9],"scores.":[11],"Optimal":[12],"local":[13,83,154],"sequence":[14,84],"alignment":[15,35,46,87],"scores":[16,36,42,56,89,107,151],"follow":[17],"Gumbel":[18],"distributions,":[19],"but":[20,50],"determining":[21],"an":[22],"important":[23],"parameter":[24],"distribution":[27,53],"(lambda)":[28],"requires":[29],"time-consuming":[30],"computational":[31],"simulation.":[32],"Moreover,":[33],"optimal":[34,86],"are":[37,76,92],"less":[38],"powerful":[39],"than":[40],"probabilistic":[41,73,80,153],"that":[43,62],"integrate":[44],"over":[45,120],"uncertainty":[47],"(\"Forward\"":[48],"scores),":[49],"expected":[52,64],"Forward":[55,106,150],"remains":[57],"unknown.":[58],"Here,":[59],"I":[60],"conjecture":[61],"both":[63,147],"score":[65],"distributions":[66],"have":[67],"simple,":[68],"predictable":[69],"forms":[70],"when":[71],"full":[72],"modeling":[74],"methods":[75],"used.":[77],"For":[78],"a":[79,121],"model":[81],"alignment,":[85],"bit":[88],"(\"Viterbi\"":[90],"scores)":[91],"Gumbel-distributed":[93],"with":[94,110],"constant":[95,113],"lambda":[96],"=":[97],"log":[98],"2,":[99],"and":[100,139,149],"high":[102],"scoring":[103],"tail":[104],"is":[108],"exponential":[109],"same":[112],"lambda.":[114],"Simulation":[115],"studies":[116],"support":[117],"these":[118],"conjectures":[119],"wide":[122],"range":[123],"profile/sequence":[125],"comparisons,":[126],"using":[127],"9,318":[128],"profile-hidden":[129],"Markov":[130],"models":[131],"from":[132],"Pfam":[134],"database.":[135],"This":[136],"enables":[137],"efficient":[138],"determination":[141],"expectation":[143],"values":[144],"(E-values)":[145],"for":[146,152],"Viterbi":[148],"alignments.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":25},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":23},{"year":2021,"cited_by_count":24},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":22},{"year":2018,"cited_by_count":14},{"year":2017,"cited_by_count":21},{"year":2016,"cited_by_count":14},{"year":2015,"cited_by_count":13},{"year":2014,"cited_by_count":20},{"year":2013,"cited_by_count":21},{"year":2012,"cited_by_count":19}],"updated_date":"2026-04-22T08:38:42.863108","created_date":"2025-10-10T00:00:00"}